training

From: https://www.kaggle.com/kenakai16/training

Author: kenakai

Score: 0.397

In [1]:
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import os,sys
import numpy as np
from random import shuffle
import cv2
from tqdm import tqdm

import os
print(os.listdir("../"))
['input', 'working', 'src', 'lib']

Data

In [2]:
df = pd.read_csv("../input/imet-2019-fgvc6/train.csv")
data=[]
max_lenght=0
id_max_lenght=0
for i in range(len(df)):
    img_path=df.iloc[i]["id"]
    lb=df.iloc[i]["attribute_ids"].split(' ')
    if max_lenght<len(lb):
        max_lenght=len(lb)
        id_max_lenght=img_path
    else:
        max_lenght=max_lenght
    label=[int(i) for i in lb]
    data.append([img_path,label])
In [3]:
data
Out[3]:
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 ['11972bafc9a994e1', [147, 283, 813, 1020, 1059, 1092]],
 ['119868f53e164eaa', [239, 464, 681, 840, 991]],
 ['1199038531d2855d', [308, 486, 568, 813]],
 ['11990bd9e816160e', [24, 754]],
 ['11992b3ab2a359e2', [147, 543, 753, 949, 1072]],
 ['11995a15828930bf', [79, 671, 780, 1062]],
 ['119961ee221fdba6', [194, 844]],
 ['11999ab0011f7cdc', [147, 813, 896]],
 ['119a36e608597689', [671, 1059]],
 ['119a7ba79144856e', [51, 532]],
 ['119ce1698c2428ff', [13, 538, 813, 887, 1092]],
 ['119d71604b1bb1de', [149, 768]],
 ['119dbee2795ed2c7', [51, 483, 975]],
 ['119de77668540b73', [189, 418, 541, 579, 813]],
 ['119e10f3d3a194e0', [436, 369]],
 ['119e1689d89f04f1', [147, 734, 780, 813]],
 ['119e1b246b826b41', [79, 671, 780]],
 ['119f12a06a2c9c24', [156, 479, 733, 739, 813, 1020]],
 ['119f12c6a3eaf359', [189, 1035]],
 ['119f8c7e09787c8', [320, 962]],
 ['11a011ba4afef2bc', [121, 552]],
 ['11a175af0a59c1a6', [13, 483, 664, 670, 738, 975]],
 ['11a17be77eddd445', [189, 915]],
 ['11a1b82a2ece5e9a', [182, 497, 498]],
 ['11a29bdbf5ccebea', [147, 1062]],
 ['11a2a83b63163730', [738, 1081]],
 ['11a392f358dc5a88', [147, 485, 780]],
 ['11a43c6a7cca5481', [121, 668, 1059]],
 ['11a446f897b5b46', [51, 671, 780, 1034]],
 ['11a4532c81714795', [13, 693, 729, 813]],
 ['11a4b032793ab17a', [121, 884]],
 ['11a4c9a468b7e385', [147, 485, 671, 999]],
 ['11a52fdbcc160d03', [147, 485, 671]],
 ['11a5ba04a1df2ea1', [147, 663, 813, 835]],
 ['11a6461915a7e0fd', [79, 835]],
 ['11a6e5103e3b116e', [14, 1056]],
 ['11a6fa6638760055', [780, 1019, 369]],
 ['11a82dc8281d4771', [354, 421]],
 ['11a836db2f9bd0c5', [13, 420]],
 ['11a94c0e4374f3d0', [189, 492, 813]],
 ['11a993ecec737946', [1, 582, 1023]],
 ['11a9ac1a6206a4c8', [79, 624, 1059]],
 ['11aa2562a3ce4745', [684]],
 ['11aa30d31a10e2e6', [304, 487]],
 ['11aa7c34bf5ebccb', [13, 477, 833]],
 ['11ab01ff120858c', [147, 552, 780]],
 ['11ab6021b4316ea1', [70, 733, 813]],
 ['11aba3e0bce23acd', [147, 885]],
 ['11ac02b9fd96bc7c', [121, 433]],
 ['11ac77723bbf78a4', [111, 418, 501, 850, 940]],
 ['11ac8f8a27f042db', [684]],
 ['11aca7498b4b0e88', [51, 627, 813, 989]],
 ['11ad28e63881b6f5', [156, 522, 667, 813, 896]],
 ['11af7699929415c5', [13, 567]],
 ['11b0d2f61c795871', [304, 718, 1092]],
 ['11b20b0d7517e950', [127, 552]],
 ['11b255ec272afa1a', [147, 283, 532, 671]],
 ['11b462b939f06bb4', [916, 1092]],
 ['11b4dc7ee2b8e795', [121, 1062]],
 ['11b61262c19af42f', [99, 744]],
 ['11b68a73e2a47d40', [121, 718, 836, 961]],
 ['11b84e8e896db6d7', [121, 415, 703]],
 ['11b8bd997731ede8', [79, 744]],
 ['11b966ed0f867b0d', [194, 692, 1092, 1099]],
 ['11b99bedb2e45b51', [189, 650, 666, 738, 850]],
 ['11b9b253b15aac63', [51, 462, 733, 813, 993]],
 ['11bb24eb45cfe7a4', [1, 864]],
 ['11bb6378a1045093', [259, 409, 796, 813]],
 ['11bcea0e7d110516', [538, 654, 698, 813, 1092]],
 ['11bd701a1e45e2fa', [147, 531, 663, 701, 835, 953]],
 ['11c1c907367ce613', [489]],
 ['11c1e0f521120852', [189, 252, 813, 832, 954, 1071]],
 ['11c36f5e4e484140', [116, 161, 487, 1101]],
 ['11c3ad0d86174cdd', [156, 485]],
 ['11c432a967ccd29a', [23, 477, 962]],
 ['11c4891faaaea5c6', [147, 720]],
 ['11c4cd26c58afcb1', [125, 718, 813, 922, 955]],
 ['11c5bb2cb1119ee3', [703]],
 ['11c5d23612de8b73', [1092]],
 ['11c6a3daba10c16b', [896, 1092]],
 ['11c6f5b422bbabdb', [105, 111, 612, 671]],
 ['11c7143510270a1f', [43, 51, 6, 584, 813]],
 ['11c74dc2f5419a2d', [147, 552]],
 ['11c7d86de428f4d9', [1, 962]],
 ['11c830a275f6e15c', [147, 698, 756, 1092]],
 ['11c8ed6a3802a25f', [147, 322, 813, 1062, 1092]],
 ['11c969c24f771672', [13, 519]],
 ['11cac54092afc246', [189, 477, 691, 835, 921]],
 ['11cae39d1983178d', [189, 809, 1059]],
 ['11caf3d0a4a34805', [335, 377, 612, 744]],
 ['11cc9b64741422cd', [23, 813]],
 ['11cd991e2e638972', [489, 369]],
 ['11cdf83706c0329', [420, 720, 369]],
 ['11cebe5f896a2da7', [194, 553, 813]],
 ['11cee0f49b3bb92e', [194, 844]],
 ['11d071ea4fba2727', [42, 156, 671, 746, 1045]],
 ['11d10e5c78d976d7', [79, 1062]],
 ['11d10f31b7f33ca5', [955, 962]],
 ['11d2135996dfef4e', [189, 663, 678]],
 ['11d2362d5d869d2b', [79, 420, 704]],
 ['11d269a549fd3c6f', [13, 405, 903, 1092]],
 ['11d373d75ad002b7', [13, 405, 896, 1092]],
 ['11d4f5e26dff344d', [131, 683, 744, 813]],
 ['11d57dfd5e05b389', [147, 552]],
 ['11d591dd44bb2521', [79, 487]],
 ['11d64c6b41a080de', [189, 612, 800]],
 ['11d6e03d8c6845e', [292, 552, 671]],
 ['11d70da7d5172bcd', [156, 487]],
 ['11d73cf50bc78101', [754, 1092]],
 ['11d7c30518f2f9bc', [79, 1099]],
 ['11d815aa8a906d91', [813, 896]],
 ['11d87fa980835416', [33, 582, 1023]],
 ['11d886c55918fd38', [79, 487]],
 ['11d932ca5cb049c1', [1019, 369]],
 ['11d93931c2839a6c', [147, 951]],
 ['11d943d008a3a475', [161, 351, 1092]],
 ['11d947d8446daf14', [121, 433]],
 ['11d9f399addc3894', [184, 415]],
 ['11da01408de610d6', [13, 405, 698, 896]],
 ['11da79801826f2da', [121, 433]],
 ['11daa41b503b07dc', [121, 724, 955]],
 ['11dac0a7f79dd39e', [51, 339, 1059, 1092]],
 ['11db35d22cbdb8d', [194, 698, 744, 1092]],
 ['11dc74f8d1deb719', [79, 489, 671]],
 ['11dc972e8d3fc39d', [51, 488, 813, 1059]],
 ['11dca2a4c72f5946', [79, 420, 813, 1046, 1059]],
 ['11dd2bf84ec85cd8', [671, 780, 1059]],
 ['11debb30d45f0dff', [147, 598, 646, 1046]],
 ['11df2969d5af0d4d', [121, 1039]],
 ['11df549ccceace2c', [79, 454, 477, 539]],
 ['11df7e8bdaddb68', [13, 776, 830]],
 ['11df98a6d2018565', [287, 1045]],
 ['11dfd7ccc260fcd4', [188, 671, 1034]],
 ['11dfffb3fc0d2e0', [184, 420, 1059]],
 ['11e01db89e8ef85b', [194, 1046, 1059]],
 ['11e0a4f6d6410fb0', [147, 541, 581, 920, 941, 1072]],
 ['11e0c8e0d600b0c', [194, 506, 745, 886]],
 ['11e111d2fa5bb659', [51, 552, 671, 768]],
 ['11e229913e46af41', [79, 671]],
 ['11e2cf10c5454969', [121, 438]],
 ['11e318bded909338', [194, 487, 671, 723]],
 ['11e33324b3a20eb', [147, 434, 585, 685, 747, 821, 1089]],
 ['11e3793d408f0f65', [189, 813]],
 ['11e39fa2beda9f40', [13, 698, 896]],
 ['11e411079c4e683c', [188, 489, 598]],
 ['11e54f8ae910c81d', [354, 487]],
 ['11e5aad1f34092f4', [121, 1062]],
 ['11e5ff64ed44a78f', [156, 889]],
 ['11e63a1d152086e3', [194, 737, 1059]],
 ['11e671be73eea67d', [25, 161, 584, 903, 1092]],
 ['11e6f65d6a1b06d6', [245, 587, 1059, 369]],
 ['11e7ed01e5a8c3be', [813]],
 ['11e887f04725a8e5', [13, 1056]],
 ['11e8f0f49af21c9c', [70, 502, 924, 1046]],
 ['11e9c75464da0832', [263, 496]],
 ['11ea315dd114dc73', [156, 813, 903]],
 ['11eaaa073be3e313', [506, 726, 369]],
 ['11eafea375958433', [13, 538, 672, 813, 1092]],
 ['11eb0239160e9798', [29, 896, 943]],
 ['11eb03b99a96d289', [485, 671, 916, 1062, 1092]],
 ['11ebaed44de29857', [13, 405, 896, 1092]],
 ['11ec19f0b7b9f6e2', [121, 434, 724, 813, 1092]],
 ['11ec7791f177f812', [189, 545, 559, 738, 949, 1082]],
 ['11ec8ce76a10ab70', [863]],
 ['11ece5e54c834cf', [121, 1061]],
 ['11ecfe6c848b6aff', [147, 541, 641]],
 ['11ed6cd579ecaea8', [51, 536, 821]],
 ['11ed7c3c6b86bf60', [156, 448, 809, 915, 994]],
 ['11ee63358c3e187f', [13, 405, 532, 896, 1092]],
 ['11ef5f982a6d29c2', [156, 896]],
 ['11ef6f0f8f96d813', [194, 738]],
 ['11ef835b43e10804', [415]],
 ['11efd90cb704bdb1', [415, 650]],
 ['11f0b1b26747a245', [51, 77, 671, 780, 1030]],
 ['11f0bbf15b20a6b8', [554, 813, 896]],
 ['11f0d7396f4c7386', [13, 813, 896]],
 ['11f14cdd732025e7', [308, 733, 813]],
 ['11f1c286691b270a', [147, 713, 800]],
 ['11f250647eb98139', [189, 252, 418]],
 ['11f25a884195d486', [813]],
 ['11f29f41749a5908', [79, 487]],
 ['11f40856bed3b8e4', [121, 1026]],
 ['11f50e19780f84e4', [184, 1059]],
 ['11f59772e05030df', [99, 671]],
 ['11f6f58d0213923d', [111, 597, 733, 738]],
 ['11f7449187c96d08', [586, 369]],
 ['11f7c844c14f36ef', [147, 555]],
 ['11f8e7e46efcbbb3', [61, 161, 331, 479, 1059]],
 ['11f920fe8e5e4dc6', [194, 612]],
 ['11fa2b43e1424077', [872, 369]],
 ['11fa9f32e6344158', [156, 579, 703]],
 ['11fb59156bf24da8', [51, 532]],
 ['11fbd3505f732d04', [13, 552]],
 ['11fd08b1f20705bc', [189, 813]],
 ['11fdfa4062d9cfda', [955, 962]],
 ['11fe1c93bd7b90c9', [189, 430, 554, 678, 692]],
 ['11fef6f2e5918c94', [347, 506, 780, 886]],
 ['11ff233f8044a398', [961, 1092]],
 ['11ff3fe5e6ed10d8', [121, 433]],
 ['11ff6eec6e54f81f', [51, 1084]],
 ['11ff86e74ceb0a95', [411, 813]],
 ['11ff8d0ca4b6fccf', [259, 543, 580, 753, 813, 993]],
 ['1200cede6cfe2f53', [194, 506, 671, 780, 1098]],
 ['12016b17608ad589', [131, 420, 813, 949]],
 ['1202c5614b9b351b', [304, 896, 1092]],
 ['1203e8f710050d4b', [304, 489]],
 ['1204c749cf6e4883', [147, 896, 1092]],
 ['120692af6546e1b3', [194, 671, 780]],
 ['1206b7dce2b35f65', [147, 615, 813, 952, 1092]],
 ['12074c9aa2d905b9', [2, 1061]],
 ['12079487a26b6509', [127, 1034]],
 ['1207d754bd632aac', [70, 1046]],
 ['1208015133628325', [29, 535, 813]],
 ['1208b3aa536af605', [70, 849, 953]],
 ['1208fc38cc4f2d4', [813, 896]],
 ['12094335f87a1ec5', [51, 833]],
 ['12094f3e5d2abf27', [79, 539, 737, 776, 1046]],
 ['1209fbce7aa42bb1', [70, 628, 813, 833, 1020, 1092]],
 ['120a1548ec1b1f85', [189, 436]],
 ['120a9aede3051fc4', [156, 485, 603, 780]],
 ['120b1ff5670402b9', [501, 580, 871, 993, 1009]],
 ['120b405fdffe423d', [51, 76, 650, 671, 780]],
 ['120b818a869071b3', [13, 405, 896, 1092]],
 ['120bc376f3e38804', [79, 1039]],
 ['120c4c2fd8cf6ef9', [51, 124, 339, 734, 1059]],
 ['120c76942d2ffa34', [13, 670, 825]],
 ['120c81a0e0bdfbb', [96, 236, 962]],
 ['120c9694a8e5f209', [147, 510, 764, 813]],
 ['120d630028b902bc', [304, 487, 607]],
 ['120e0070809730ef', [194, 404]],
 ['120f4698f1af422c', [194, 480, 844]],
 ['120ff444ce4f3a63', [79, 487, 624]],
 ['12105ec42ac0d5be', [188, 671, 1059]],
 ['1210be44c322176a', [135, 554, 954, 369]],
 ['12129ca229ecf4d2', [13, 675]],
 ['1212b949c33e7cbc', [99, 783]],
 ['12131eebb2c5117d', [477, 671, 1035]],
 ['121340f8d25eda07', [51, 212, 477, 489, 554, 991]],
 ['1214ad77ea9c2743', [26, 156, 436]],
 ['12154a37d994582c', [194, 950]],
 ['1215e95313f28c18', [354, 421]],
 ['121615f1f95fa6c0', [738, 988]],
 ['1216a9bb3cdc6b1b', [189, 583, 633, 761]],
 ['121a0c6fa2853f2d', [121]],
 ['121a9266ffeb65cd', [147, 716]],
 ['121abcaf6a17fcc7', [99, 304, 434, 744]],
 ['121b964d05cf2bf0', [25, 161, 744, 847, 1059]],
 ['121d7d3ed224cd35', [51, 393, 612, 671]],
 ['121dc0b9c2bb7e6a', [189, 1039]],
 ['121e502f801d1c7', [158, 1085]],
 ['121f85bb631ae733', [194, 497, 498, 823, 970]],
 ['122139809e77a01', [51, 615, 633, 835]],
 ['1221afa48991e606', [51, 627, 813, 993, 1092]],
 ['1223c239e4375264', [99, 962]],
 ['1224c1758e85510d', [147, 889, 1092, 1093]],
 ['12265be4a51ba3cb', [14, 716]],
 ['12276f0d3b8e3ecd', [13, 538, 690, 813, 1092]],
 ['1227db1351d9aaec', [147, 733, 813, 1046]],
 ['1229a11752bcf3b5', [189, 252, 813]],
 ['1229bf5d6d98d0ea', [194, 600, 809, 844]],
 ['122a810ab4fdabc8', [335, 450]],
 ['122b831cb0015314', [121, 415, 681]],
 ['122c1019d1a04a43', [194, 494, 733, 737, 992, 1046]],
 ['122ce10196f4a9e6', [188, 1034]],
 ['122cfd7c6ef3ecfb', [189, 631]],
 ['122f58cfd1b06482', [147, 671, 780, 1034]],
 ['122f9d8b891da65f', [189, 603]],
 ['122ff1eb6fc64224', [896]],
 ['12302cb3952cedc', [194, 776, 813, 830]],
 ['1230a735176e76c4', [13, 818]],
 ['1230bda1a9ab0ba8', [147, 800, 813, 953, 1099]],
 ['1230c94c8288aabb', [147, 487]],
 ['1231147caa7a2b2a', [259, 742, 1059]],
 ['12313f2b6a2da3d4', [51, 501, 664, 744, 813]],
 ['12319c821d63e1cb', [13, 626, 892]],
 ['12328dfcff88fef3', [51, 978]],
 ...]
In [4]:
print("max_lenght:",max_lenght)
print("id_max_lenght:",id_max_lenght)
max_lenght: 11
id_max_lenght: 88c7e0e377a69d27

Read image and resize

In [5]:
def creat_square(in_img,value=0):
    img = cv2.imread("../input/imet-2019-fgvc6/train/"+in_img+'.png')
    #grey_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    grey_img=img
    h, w = grey_img.shape[:2]
    edge_square = max(h,w)  
    ground_square=np.ones(shape=[edge_square,edge_square,3])*value
    if h<w:
        x1=np.floor((w-h)/2).astype(int)
        x2=np.floor((w-h)/2+h).astype(int)
        ground_square[x1:x2,:]=grey_img   
    elif h>w:
        x1=np.floor((h-w)/2).astype(int)
        x2=np.floor((h-w)/2+w).astype(int)
        ground_square[:,x1:x2]=grey_img
    else:
        ground_square=grey_img

    return ground_square.astype(np.uint8)
In [6]:
# convert to gray images and resize to 224x224
def resize(img,x_scale=224,y_scale=224):
    img=cv2.resize(img,(x_scale,y_scale))
    #data.astype('uint8')
    return img

Creat train-val-test data

In [7]:
shuffle(data)
data
Out[7]:
[['dc7a7ea1accf85b5', [194, 1034]],
 ['c06f6586da47725b', [13, 494, 512]],
 ['f0f53cf6203b9781', [819]],
 ['e9fc0637a79c2a90', [147, 907]],
 ['5329c0303b08b652', [188, 671, 1059]],
 ['351f756cc52dc1a1', [156, 746, 858, 1098]],
 ['9c4e733f46fd7e19', [135, 489, 813, 833, 834, 369]],
 ['f3298be30b6e6f7c', [418, 754, 1072]],
 ['2d36a46a5e81b4c4', [494, 676, 1046]],
 ['6444d33091db54ac', [189, 325, 418, 542, 753]],
 ['3fdcb629a3944eb4', [161, 833]],
 ['8dfd5ff23d32ad3b', [231, 595, 742, 813, 1092]],
 ['511dfd0f8f07ee1f', [436, 369]],
 ['aaa86f736629eb0e', [189, 598, 671, 746, 835, 1062]],
 ['4438f5d31a0952c', [1098]],
 ['7f86585a202d0066', [51, 501, 738]],
 ['e2d44bffd66b347a', [189, 640]],
 ['8876907b31f0191d', [189, 753, 902, 940]],
 ['c38697f820dbd93a', [156, 947]],
 ['deb27a77146be5bd', [180, 750, 1099]],
 ['6b4813017f28cdd8', [194, 620, 813, 823, 1099]],
 ['23f26f128cc5033c', [79, 624]],
 ['8d4b634f822511f', [592, 1046, 1092]],
 ['779a8af4fa1fa088', [51, 339, 458, 780]],
 ['dfbf4c7c6ce8a3c7', [189, 597, 858]],
 ['465ed621c4910270', [438, 369]],
 ['b77b3af6e47abd16', [45, 718, 720, 813]],
 ['b2b8f788cb56f98', [870, 1046]],
 ['9bfb16ef857a41a1', [121, 1059]],
 ['73e0fc29a6d043e8', [51, 616, 813, 1092, 1097]],
 ['ed9681b0e96998eb', [872]],
 ['99fcff8442cc53d4', [79, 624]],
 ['f389d0af2cfe0fff', [189, 501, 517, 559, 744, 871]],
 ['1a7c99f722821de7', [29, 434]],
 ['2dfafdc3e1bc98c6', [896, 1092]],
 ['2c8d3ce9a5bb1dbe', [23, 962]],
 ['b2ef22c55f68adb1', [813, 896]],
 ['7d821a17bf8890b', [194, 813, 1092, 1099]],
 ['77a0de66bf0cd6eb', [189, 430, 434, 747, 961]],
 ['fc536ff2f16969aa', [121, 492, 800, 961]],
 ['14a06edba03f66e5', [907]],
 ['16b9522f0dd99436', [156, 733, 962]],
 ['8fa253a13fabd5c6', [51, 489, 671, 780]],
 ['d41c4daee2130fa4', [587, 369]],
 ['462d812081df245c', [369]],
 ['99993f2a058b1215', [51, 76, 420, 584, 954, 1030, 1046]],
 ['fd450f1b71bc8a16', [79, 919, 962, 1099]],
 ['e190e948d0f092b9', [51, 585]],
 ['79f86ddf6c974d56', [161, 1059]],
 ['aaa07a4496c6c239', [248, 1059]],
 ['fe9b81f50b88d6b9', [51, 212, 534, 551, 616, 813, 1092]],
 ['6532f4a0b822eafb', [335, 430, 545, 738, 747, 931]],
 ['b70172885aaabc72', [194, 813, 1046, 1081]],
 ['d11181db84ee5a85', [426, 541, 542, 916, 1072]],
 ['366e6c98e4343cf7', [51, 545]],
 ['638ff5db2f9645fc', [156, 273, 671, 758, 780]],
 ['31d271eee9597ae2', [188, 671]],
 ['2bf114dec10c0eb7', [13, 405, 896, 1092]],
 ['95fa321028d23c04', [147, 671, 780, 1034]],
 ['947597e5ce0beec', [121, 1039]],
 ['38417361b4b70f57', [780, 1039]],
 ['d8c58c705589867d', [1059]],
 ['afed38e962ca6712', [1039]],
 ['60bd97e6991d83b8', [127, 552]],
 ['8df894378773dcb3', [194, 844, 927]],
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 ['a5624a9e79fbec7a', [194, 671, 1059]],
 ['a3842965855ea7cb', [483, 494]],
 ['c7e8b9c7d6cf4791', [553, 986]],
 ['dbd9fa10d3c9aa2b', [189, 738, 776, 1038, 1046]],
 ['32667bb4007dfb78', [655, 813, 835, 1092, 369]],
 ['ba7c20e3ccb5aeba', [121, 724, 955]],
 ['4d9869dd0006c7b7', [156, 733, 753, 813, 947]],
 ['eae56c9224c3a382', [541, 542, 813, 949, 1092]],
 ['2f726540d75c0456', [156, 420, 733, 813, 835]],
 ['43bff99da063f88c', [147, 783, 813, 1092]],
 ['b38fe4faf6dda696', [189, 1035, 369]],
 ['cf56e8dba2674e21', [147, 552, 671]],
 ['46f045b04c75bf5d', [13, 813, 966]],
 ['2a52c1f09cdcf984', [121, 433]],
 ['5917aa0c593d9769', [189, 485, 607, 695]],
 ['32c208e2f9b270aa', [25, 161, 404]],
 ['a114813a96729257', [44, 161, 655, 961, 1092]],
 ['79432981a4d6e91c', [79, 584]],
 ['99f31e8a4d3ec3a6', [147, 785, 813, 969]],
 ['fe026bac161b0d4d', [194, 483, 813, 975, 1092, 1099]],
 ['6a7faece91eec99e', [125, 721, 922]],
 ['5a49fceb8bd924a0', [147, 680]],
 ['1273d7a53ed01291', [304, 464, 840]],
 ['8f93eb0d570c83a9', [25, 161, 718]],
 ['9ba280e587864569', [1061, 1099, 369]],
 ['6101a082048e8a5b', [121, 962]],
 ['83cb4e3f1ce696bc', [156, 394, 671, 780, 1035]],
 ['7ec39ac8f15dc766', [304, 487]],
 ['394427ccda4d7d0a', [188, 647]],
 ['774175eea0d048b7', [147, 676]],
 ['cea3ae65f1edef32', [147, 492, 887, 903]],
 ['718c5cdf5b2331d7', [58, 558, 896]],
 ['417e720854252e36', [13, 487, 813]],
 ['afc8f004e96e5c16', [559, 1032]],
 ['f607b7fd124fe7e2', [79, 454, 477, 923]],
 ['37af3946aaa0cc6c', [121, 718, 813, 961]],
 ['9ffe23c7153f305b', [13, 405, 903, 1092]],
 ['881ff0ec9b45043a', [156, 420, 485]],
 ['513d6dfb2864c485', [125, 1062]],
 ['6d7ea254fae0e059', [51, 501, 598, 744, 950, 1046]],
 ['8a39fd7857bedccc', [111, 430, 559, 733, 931]],
 ['cab69c22a6f526bc', [189, 252, 418]],
 ['c2d20fee26e88bc', [13, 552]],
 ['52e7b17c21890601', [147, 742, 813]],
 ['86c28108f321b131', [189, 485, 607]],
 ['cc031300783f7623', [726, 780, 369]],
 ['9933ad95e2761a78', [131, 647, 746]],
 ['e3b430c2b57da91f', [121, 432, 724]],
 ['7842f08b0362e4ca', [79, 671, 1059]],
 ['dbf2e4c063bf1bc', [182, 634]],
 ['981180d86d325103', [121, 433]],
 ['2c10f9bde7ee1ec3', [70, 533, 949, 1092]],
 ['b155b1b45474625c', [79, 639, 878]],
 ['6680d720294ccbdb', [121, 1035]],
 ['260be7e46832059f', [194, 637, 698, 921, 1092, 1099]],
 ['84c9ca346cfebb64', [51, 477, 835, 1092]],
 ['ddb9dee481d4e0c4', [29, 434]],
 ['4137667cdcb008de', [13, 626, 862]],
 ['3508e94100c1248', [147, 749, 862]],
 ['d052b96316988b95', [51, 570, 813, 933, 1092]],
 ['d278bb1ceaf10c7b', [111, 738, 1081]],
 ['bfb9901ba65b0189', [111, 586]],
 ['197adb5d8bf64a41', [99, 1059]],
 ['42913d3b4e279d74', [13, 405, 616, 896, 1092]],
 ['93bae8071d4d04', [51, 532]],
 ['ec1c808899dab62b', [189, 597, 1001]],
 ['6edaf88f72f8ffb5', [194, 1034]],
 ['25caf3ff1e2be9e0', [189, 553, 776, 835]],
 ['890d97aa0e2a2821', [13, 746]],
 ['54b1f0a39be068b2', [111, 813, 1084]],
 ['da53803a31fe97b1', [65, 517]],
 ['83bd2a0091517e4b', [189, 720]],
 ['c719f4fc9701f96d', [13, 552, 666, 1092]],
 ['aca869bda33400dd', [189, 738, 744, 833]],
 ['79c9b6c85343b732', [650]],
 ['e47ced5529e72552', [111, 466, 679, 1046]],
 ['1aced5e0aa6fb9c5', [872]],
 ['1801009b4727f014', [189, 554]],
 ['9d18db5e8df53b9f', [189, 420, 738, 833]],
 ['cd14f8364deff524', [189, 597]],
 ['abfcf884f1927ce8', [121, 420]],
 ['9c6f7f62fef3d351', [282, 487]],
 ['54607b9e2a0a2281', [147, 426, 542, 581]],
 ['d9c1c22a02b41a1f', [51, 400]],
 ['e35561ffa3c38ce', [494]],
 ['c11a92c32ad8be7d', [194, 506, 671, 1099]],
 ['b2930deaa0565cb5', [13, 552]],
 ['bd955fb7970a520b', [147, 537, 633, 650, 915]],
 ['449d955e21760ec', [121, 1059]],
 ['cc496df15c95c40b', [501, 813, 1046, 1092]],
 ['a13e09188c93252d', [147, 425, 680, 1092]],
 ['b5802d6e35d3c89', [335, 533]],
 ['d55978ce9cc6d0e6', [70, 620, 813, 993, 1046]],
 ['570fbaf0cecc2d99', [13, 927]],
 ['a7d213488257cda2', [335, 1035]],
 ['ea663e6efd27a557', [147, 655, 780]],
 ['3ed8e2d2a23d0ea7', [147, 283, 518, 671, 780]],
 ['6b5d27b8ecdb884a', [13, 870]],
 ['ae10c85758d16f7c', [188, 598, 813, 1046, 1055, 1099]],
 ['bd5f6b0d8d258d0e', [1059]],
 ['b1b844ddff15775b', [156, 227, 616, 813, 968, 1092]],
 ['b89cdb5cf2e50377', [79, 872]],
 ['1f6527d945469d19', [99, 754, 784]],
 ['b5d9cb0ca2d34f23', [51, 1059]],
 ['5ba6ef27f890567a', [29, 813, 916]],
 ['acb0e557eaf062e4', [13, 405, 896, 1092]],
 ['51b1d460ed9b7f36', [121, 872]],
 ['3d150321343cef35', [13, 405, 698, 896]],
 ['3bd0fb6faafa2e5e', [819]],
 ['d4dba6af8a53743b', [294, 739, 903, 1046, 1092]],
 ['a5fbe50e229f91dd', [263, 420]],
 ['3f80dd9fc7f27de2', [304, 511, 640, 701]],
 ['b603aa5d56276769', [217, 433]],
 ['d109dc8790c6aa60', [79, 1039]],
 ['d6eeca64e6caa784', [538, 734, 813, 1092]],
 ['dd3df4088e028f08', [579, 369]],
 ['335eb605a85def82', [156, 554, 974]],
 ['d5a4179ed99cacc', [13, 1070]],
 ['8d12799aa9497608', [313, 962]],
 ['4e96cba8b8d63f0d', [147, 430, 434]],
 ['f69e0256483ba081', [161, 864]],
 ['efac90667a953cbc', [13, 696, 744, 903]],
 ['30875fa1f80b0e57', [189, 734, 1092, 369]],
 ['99eee002c5e652ff', [259, 542, 553, 776, 813, 949]],
 ['145fcc1f6cc0ba03', [768, 369]],
 ['4f5fe4f44438817d', [147, 627, 813, 1090]],
 ['3361b5a508f15ddb', [147, 484]],
 ['99300116b899a3ac', [51, 592, 813, 1092]],
 ['9eaef74c45cd3dd3', [1059]],
 ['7d2adc0ff6c912f9', [282, 487]],
 ['9b503959aa2de148', [147, 283, 532]],
 ['b796598cfe0bd988', [147, 626]],
 ['851c0f05b7205ce5', [99, 718, 813, 1096]],
 ['34a281eb6669666d', [194, 489, 780]],
 ['2d06267278261d9', [51, 551, 813, 1092]],
 ['b7bf52a96cc2c5aa', [55, 131, 477, 682, 709, 813, 1025, 1092]],
 ['54c21176129673f1', [1019, 1083, 369]],
 ['9e291a3b68da6abf', [189, 418, 430, 692]],
 ['561b51dec5a1dbeb', [121, 432]],
 ['3adb5367ddabf324', [79, 671, 1059]],
 ['bd5fa0de4946cdc1', [63, 1059]],
 ['ac435dd34ad3d380', [194, 519, 813, 830, 1046, 1092]],
 ['5e06b6547b99f964', [1, 754, 784]],
 ['39c7468bd49aa523', [194, 468, 524, 698]],
 ['f0f3b59fbb9a7a5d', [127, 552, 671]],
 ['c2b568261bab5d03', [189, 780, 1069]],
 ['669c60c1138e364b', [147, 283, 638, 671, 1059]],
 ['5ba461a1d791a403', [51, 615, 692]],
 ['40c0a5f5ec76d3c5', [13, 477]],
 ['42dadb012ad342e3', [194, 506, 745, 1099]],
 ['5ab10fef8ab54272', [236, 766]],
 ['796b18f9db612bbc', [13, 896, 1092]],
 ['fcd9443178d9cd00', [188, 671, 813]],
 ['1e45e68892d0ae63', [13, 568, 896, 1092]],
 ['5d62bfd804242892', [13, 813]],
 ['3e4548c8dec45b2e', [13, 430, 559, 621]],
 ['f27ffb7e8c65f07f', [51, 813, 1020, 1092]],
 ['bfb7fa5de0e96d61', [744, 780, 1059]],
 ['5a2dc91c0d196bd3', [182, 835]],
 ['47902f2cb868bcba', [121, 715, 724, 764]],
 ['725c8412e17ac695', [13, 668]],
 ['c98041366eb4ab57', [161, 688]],
 ['2dbab6645b6f43d2', [194, 469, 671, 780]],
 ['6b96c1f60fc139cf', [111, 628]],
 ['858764a8e51a887b', [51, 212, 515]],
 ['4ce4958f1812b511', [147, 283, 896, 1059, 1092]],
 ['a1d70f3f07e21277', [70, 413, 835, 858, 949]],
 ['d8c4d548d244029b', [147, 616, 747, 813, 882, 1092]],
 ['3daef5d36a7bc340', [231, 813, 1092]],
 ['9bba5e921bd735a9', [41, 671, 1054]],
 ['9fc53ca74cd0edba', [147, 784, 967]],
 ['94ede68d7715885a', [813, 896]],
 ['55bdd3786a266c42', [231, 1039]],
 ['f773b103a5821dd2', [147, 813, 1092]],
 ['78c6cce160433c6c', [121, 1059]],
 ['216bbd4664f72a37', [1092]],
 ['25f1b9996e61f3c0', [25, 161, 1062, 1092]],
 ['38f6ef4809910938', [189, 485, 780, 1101]],
 ['f007b8d1b5c7c432', [180, 703, 704, 728, 767, 791]],
 ['1e0b1be18a2e7d47', [147, 562, 813]],
 ['a35071b8f88bd3e4', [79, 776, 813, 1046]],
 ['a9d7cdf03a1232d8', [813, 896]],
 ['ed6bff1d677760fe', [147, 1062]],
 ['9a671a0490d45d90', [79, 1059]],
 ['d959afa0afed0743', [79, 1092]],
 ['f3faf3e21c82ef7', [147, 477, 800]],
 ['6f62f59db59c1947', [202, 671, 1034]],
 ['d7dfa221b05d8b13', [308, 338, 671, 737, 744, 1046, 1059]],
 ['fd08544953771cef', [45, 477, 663, 835, 1046, 1064]],
 ['b8020ee70c4f1d6c', [194, 624, 1092]],
 ['253800450f294a70', [13, 405, 896, 1092]],
 ['16a7a2720f82aafa', [147, 477, 520, 554]],
 ['aaba3687df529fc2', [13, 405, 896, 1092]],
 ['510fc5afd7ba5e9c', [13, 552]],
 ['847b16be5a05b769', [189, 1032]],
 ['6f09bb2fb98d8b4e', [51, 212, 515]],
 ['f53e7996a18319b', [420, 597, 671, 369]],
 ['6bd3b1cde3a0eb6c', [13, 477]],
 ['77f37d27a6153244', [188, 420, 489, 650]],
 ['b42459605ee7861d', [121, 477, 506]],
 ['e4af86bd26f76fd9', [189, 718, 813, 953, 1092]],
 ['82a197dc82a178a', [121, 1039]],
 ['9686acf7205d7782', [13, 1059]],
 ['de9927c030bf5703', [348, 616, 813]],
 ['5f28d31a31f1125e', [70, 690, 738, 1046]],
 ['2e601d0d2e02adc6', [156, 227, 616, 961]],
 ['4ad38ef0196fdd2', [147, 494, 545, 737, 830, 924]],
 ['b262f3a29124106e', [147, 283, 586, 835]],
 ['df07a14aba26356d', [13, 670, 746]],
 ...]
In [8]:
data_trainning=data[:int(len(data)*70/100)]
data_val=data[int(len(data)*70/100):]
#data_test=data[int(len(data)*85/100):]
In [9]:
print("training:",np.array(data_trainning).shape)
print("validation:",np.array(data_val).shape)
#print("test:",np.array(data_test).shape)
training: (76465, 2)
validation: (32772, 2)

Data Generator with augmentation data

In [10]:
from keras.preprocessing.image import ImageDataGenerator
Using TensorFlow backend.
In [11]:
# construct the training image generator for data augmentation
aug = ImageDataGenerator(horizontal_flip=False,
                         rotation_range=90,
                         brightness_range=(0.5,1.3),
                         fill_mode="nearest")
In [12]:
# categorical label
def categorical_label(arr):
    lb=np.zeros(1103)
    for i in arr:
        lb[i]=1
    return lb
In [13]:
def generator(data_txt,batchsize=32,augmentation=False):    
    #map_name=list(zip(list_image,list_label))
    shuffle_data=True
    if shuffle_data:
        shuffle(data_txt)
    #list_image, list_label = zip(*map_name)
    n = len(data_txt)
    i = 0
    while True:
        if i==0:
            shuffle(data_txt)
        X_train=[]
        Y_train=[]       
        for b in range(batchsize):
            img_path=data_txt[i][0]
            #print(img_path)
            img=creat_square(img_path)
            img=resize(img,224,224)
            #img=img.reshape(224,224,1)
            
            label=categorical_label(data_txt[i][1])
            
            X_train.append(img)
            Y_train.append(label)
            
            i = (i+1) % n
        if augmentation is True:
            (images, labels) = next(aug.flow(np.array(X_train),Y_train, batch_size=batchsize))
        else:
            images=X_train
            labels=Y_train
        
        images=np.array(images)
        labels=np.array(labels)
        
        
        images  = images.astype('float32')
        labels  = labels.astype('float32')

        images = images/255
        #print("X_train:",X_train.shape)
        yield (images,labels)
In [14]:
from matplotlib import pyplot
a,b=next(generator(data,10,augmentation=True))
for i in range(0, 9):
    pyplot.subplot(330 + 1 + i)
    pyplot.imshow(a[i], cmap=pyplot.get_cmap('gray'))
pyplot.show()
In [15]:
from matplotlib import pyplot
a,b=next(generator(data,10,augmentation=False))
for i in range(0, 9):
    pyplot.subplot(330 + 1 + i)
    pyplot.imshow(a[i], cmap=pyplot.get_cmap('gray'))
pyplot.show()

Model

In [16]:
import keras
from keras.models import Sequential
from keras_preprocessing.image import ImageDataGenerator
from keras.layers import Dense, Activation, Flatten, Dropout, BatchNormalization
from keras.layers import Conv2D, MaxPooling2D,ZeroPadding2D,add,GlobalAveragePooling2D
from keras import regularizers, optimizers
from keras import applications
from keras.models import Model,load_model
from keras.optimizers import RMSprop,Adam,SGD
from keras.callbacks import ModelCheckpoint,ReduceLROnPlateau, EarlyStopping
from keras.callbacks import  TensorBoard
from keras import backend as K
import tensorflow as tf
In [17]:
def creat_model():
    base_model=applications.ResNet50(weights=None,include_top=False,input_shape=(224, 224, 3))
    base_model.load_weights("../input/pretrain/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5")
    
    out = base_model.output
    out = Dropout(0.5)(out)
    out = BatchNormalization()(out)
    out = GlobalAveragePooling2D()(out)
    out = BatchNormalization()(out)
    out = Dropout(0.5)(out)
    out = BatchNormalization()(out)
    predictions = Dense(1103, activation= 'sigmoid')(out)
    custom_model = Model(inputs = base_model.input, outputs = predictions)
    return custom_model
In [18]:
model=creat_model()
WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
/opt/conda/lib/python3.6/site-packages/keras_applications/resnet50.py:265: UserWarning: The output shape of `ResNet50(include_top=False)` has been changed since Keras 2.2.0.
  warnings.warn('The output shape of `ResNet50(include_top=False)` '
WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
In [19]:
model.summary()
__________________________________________________________________________________________________
Layer (type)                    Output Shape         Param #     Connected to                     
==================================================================================================
input_1 (InputLayer)            (None, 224, 224, 3)  0                                            
__________________________________________________________________________________________________
conv1_pad (ZeroPadding2D)       (None, 230, 230, 3)  0           input_1[0][0]                    
__________________________________________________________________________________________________
conv1 (Conv2D)                  (None, 112, 112, 64) 9472        conv1_pad[0][0]                  
__________________________________________________________________________________________________
bn_conv1 (BatchNormalization)   (None, 112, 112, 64) 256         conv1[0][0]                      
__________________________________________________________________________________________________
activation_1 (Activation)       (None, 112, 112, 64) 0           bn_conv1[0][0]                   
__________________________________________________________________________________________________
pool1_pad (ZeroPadding2D)       (None, 114, 114, 64) 0           activation_1[0][0]               
__________________________________________________________________________________________________
max_pooling2d_1 (MaxPooling2D)  (None, 56, 56, 64)   0           pool1_pad[0][0]                  
__________________________________________________________________________________________________
res2a_branch2a (Conv2D)         (None, 56, 56, 64)   4160        max_pooling2d_1[0][0]            
__________________________________________________________________________________________________
bn2a_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2a_branch2a[0][0]             
__________________________________________________________________________________________________
activation_2 (Activation)       (None, 56, 56, 64)   0           bn2a_branch2a[0][0]              
__________________________________________________________________________________________________
res2a_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_2[0][0]               
__________________________________________________________________________________________________
bn2a_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2a_branch2b[0][0]             
__________________________________________________________________________________________________
activation_3 (Activation)       (None, 56, 56, 64)   0           bn2a_branch2b[0][0]              
__________________________________________________________________________________________________
res2a_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_3[0][0]               
__________________________________________________________________________________________________
res2a_branch1 (Conv2D)          (None, 56, 56, 256)  16640       max_pooling2d_1[0][0]            
__________________________________________________________________________________________________
bn2a_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2a_branch2c[0][0]             
__________________________________________________________________________________________________
bn2a_branch1 (BatchNormalizatio (None, 56, 56, 256)  1024        res2a_branch1[0][0]              
__________________________________________________________________________________________________
add_1 (Add)                     (None, 56, 56, 256)  0           bn2a_branch2c[0][0]              
                                                                 bn2a_branch1[0][0]               
__________________________________________________________________________________________________
activation_4 (Activation)       (None, 56, 56, 256)  0           add_1[0][0]                      
__________________________________________________________________________________________________
res2b_branch2a (Conv2D)         (None, 56, 56, 64)   16448       activation_4[0][0]               
__________________________________________________________________________________________________
bn2b_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2b_branch2a[0][0]             
__________________________________________________________________________________________________
activation_5 (Activation)       (None, 56, 56, 64)   0           bn2b_branch2a[0][0]              
__________________________________________________________________________________________________
res2b_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_5[0][0]               
__________________________________________________________________________________________________
bn2b_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2b_branch2b[0][0]             
__________________________________________________________________________________________________
activation_6 (Activation)       (None, 56, 56, 64)   0           bn2b_branch2b[0][0]              
__________________________________________________________________________________________________
res2b_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_6[0][0]               
__________________________________________________________________________________________________
bn2b_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2b_branch2c[0][0]             
__________________________________________________________________________________________________
add_2 (Add)                     (None, 56, 56, 256)  0           bn2b_branch2c[0][0]              
                                                                 activation_4[0][0]               
__________________________________________________________________________________________________
activation_7 (Activation)       (None, 56, 56, 256)  0           add_2[0][0]                      
__________________________________________________________________________________________________
res2c_branch2a (Conv2D)         (None, 56, 56, 64)   16448       activation_7[0][0]               
__________________________________________________________________________________________________
bn2c_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2c_branch2a[0][0]             
__________________________________________________________________________________________________
activation_8 (Activation)       (None, 56, 56, 64)   0           bn2c_branch2a[0][0]              
__________________________________________________________________________________________________
res2c_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_8[0][0]               
__________________________________________________________________________________________________
bn2c_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2c_branch2b[0][0]             
__________________________________________________________________________________________________
activation_9 (Activation)       (None, 56, 56, 64)   0           bn2c_branch2b[0][0]              
__________________________________________________________________________________________________
res2c_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_9[0][0]               
__________________________________________________________________________________________________
bn2c_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2c_branch2c[0][0]             
__________________________________________________________________________________________________
add_3 (Add)                     (None, 56, 56, 256)  0           bn2c_branch2c[0][0]              
                                                                 activation_7[0][0]               
__________________________________________________________________________________________________
activation_10 (Activation)      (None, 56, 56, 256)  0           add_3[0][0]                      
__________________________________________________________________________________________________
res3a_branch2a (Conv2D)         (None, 28, 28, 128)  32896       activation_10[0][0]              
__________________________________________________________________________________________________
bn3a_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3a_branch2a[0][0]             
__________________________________________________________________________________________________
activation_11 (Activation)      (None, 28, 28, 128)  0           bn3a_branch2a[0][0]              
__________________________________________________________________________________________________
res3a_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_11[0][0]              
__________________________________________________________________________________________________
bn3a_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3a_branch2b[0][0]             
__________________________________________________________________________________________________
activation_12 (Activation)      (None, 28, 28, 128)  0           bn3a_branch2b[0][0]              
__________________________________________________________________________________________________
res3a_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_12[0][0]              
__________________________________________________________________________________________________
res3a_branch1 (Conv2D)          (None, 28, 28, 512)  131584      activation_10[0][0]              
__________________________________________________________________________________________________
bn3a_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3a_branch2c[0][0]             
__________________________________________________________________________________________________
bn3a_branch1 (BatchNormalizatio (None, 28, 28, 512)  2048        res3a_branch1[0][0]              
__________________________________________________________________________________________________
add_4 (Add)                     (None, 28, 28, 512)  0           bn3a_branch2c[0][0]              
                                                                 bn3a_branch1[0][0]               
__________________________________________________________________________________________________
activation_13 (Activation)      (None, 28, 28, 512)  0           add_4[0][0]                      
__________________________________________________________________________________________________
res3b_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_13[0][0]              
__________________________________________________________________________________________________
bn3b_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3b_branch2a[0][0]             
__________________________________________________________________________________________________
activation_14 (Activation)      (None, 28, 28, 128)  0           bn3b_branch2a[0][0]              
__________________________________________________________________________________________________
res3b_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_14[0][0]              
__________________________________________________________________________________________________
bn3b_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3b_branch2b[0][0]             
__________________________________________________________________________________________________
activation_15 (Activation)      (None, 28, 28, 128)  0           bn3b_branch2b[0][0]              
__________________________________________________________________________________________________
res3b_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_15[0][0]              
__________________________________________________________________________________________________
bn3b_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3b_branch2c[0][0]             
__________________________________________________________________________________________________
add_5 (Add)                     (None, 28, 28, 512)  0           bn3b_branch2c[0][0]              
                                                                 activation_13[0][0]              
__________________________________________________________________________________________________
activation_16 (Activation)      (None, 28, 28, 512)  0           add_5[0][0]                      
__________________________________________________________________________________________________
res3c_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_16[0][0]              
__________________________________________________________________________________________________
bn3c_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3c_branch2a[0][0]             
__________________________________________________________________________________________________
activation_17 (Activation)      (None, 28, 28, 128)  0           bn3c_branch2a[0][0]              
__________________________________________________________________________________________________
res3c_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_17[0][0]              
__________________________________________________________________________________________________
bn3c_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3c_branch2b[0][0]             
__________________________________________________________________________________________________
activation_18 (Activation)      (None, 28, 28, 128)  0           bn3c_branch2b[0][0]              
__________________________________________________________________________________________________
res3c_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_18[0][0]              
__________________________________________________________________________________________________
bn3c_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3c_branch2c[0][0]             
__________________________________________________________________________________________________
add_6 (Add)                     (None, 28, 28, 512)  0           bn3c_branch2c[0][0]              
                                                                 activation_16[0][0]              
__________________________________________________________________________________________________
activation_19 (Activation)      (None, 28, 28, 512)  0           add_6[0][0]                      
__________________________________________________________________________________________________
res3d_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_19[0][0]              
__________________________________________________________________________________________________
bn3d_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3d_branch2a[0][0]             
__________________________________________________________________________________________________
activation_20 (Activation)      (None, 28, 28, 128)  0           bn3d_branch2a[0][0]              
__________________________________________________________________________________________________
res3d_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_20[0][0]              
__________________________________________________________________________________________________
bn3d_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3d_branch2b[0][0]             
__________________________________________________________________________________________________
activation_21 (Activation)      (None, 28, 28, 128)  0           bn3d_branch2b[0][0]              
__________________________________________________________________________________________________
res3d_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_21[0][0]              
__________________________________________________________________________________________________
bn3d_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3d_branch2c[0][0]             
__________________________________________________________________________________________________
add_7 (Add)                     (None, 28, 28, 512)  0           bn3d_branch2c[0][0]              
                                                                 activation_19[0][0]              
__________________________________________________________________________________________________
activation_22 (Activation)      (None, 28, 28, 512)  0           add_7[0][0]                      
__________________________________________________________________________________________________
res4a_branch2a (Conv2D)         (None, 14, 14, 256)  131328      activation_22[0][0]              
__________________________________________________________________________________________________
bn4a_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4a_branch2a[0][0]             
__________________________________________________________________________________________________
activation_23 (Activation)      (None, 14, 14, 256)  0           bn4a_branch2a[0][0]              
__________________________________________________________________________________________________
res4a_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_23[0][0]              
__________________________________________________________________________________________________
bn4a_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4a_branch2b[0][0]             
__________________________________________________________________________________________________
activation_24 (Activation)      (None, 14, 14, 256)  0           bn4a_branch2b[0][0]              
__________________________________________________________________________________________________
res4a_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_24[0][0]              
__________________________________________________________________________________________________
res4a_branch1 (Conv2D)          (None, 14, 14, 1024) 525312      activation_22[0][0]              
__________________________________________________________________________________________________
bn4a_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4a_branch2c[0][0]             
__________________________________________________________________________________________________
bn4a_branch1 (BatchNormalizatio (None, 14, 14, 1024) 4096        res4a_branch1[0][0]              
__________________________________________________________________________________________________
add_8 (Add)                     (None, 14, 14, 1024) 0           bn4a_branch2c[0][0]              
                                                                 bn4a_branch1[0][0]               
__________________________________________________________________________________________________
activation_25 (Activation)      (None, 14, 14, 1024) 0           add_8[0][0]                      
__________________________________________________________________________________________________
res4b_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_25[0][0]              
__________________________________________________________________________________________________
bn4b_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4b_branch2a[0][0]             
__________________________________________________________________________________________________
activation_26 (Activation)      (None, 14, 14, 256)  0           bn4b_branch2a[0][0]              
__________________________________________________________________________________________________
res4b_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_26[0][0]              
__________________________________________________________________________________________________
bn4b_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4b_branch2b[0][0]             
__________________________________________________________________________________________________
activation_27 (Activation)      (None, 14, 14, 256)  0           bn4b_branch2b[0][0]              
__________________________________________________________________________________________________
res4b_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_27[0][0]              
__________________________________________________________________________________________________
bn4b_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4b_branch2c[0][0]             
__________________________________________________________________________________________________
add_9 (Add)                     (None, 14, 14, 1024) 0           bn4b_branch2c[0][0]              
                                                                 activation_25[0][0]              
__________________________________________________________________________________________________
activation_28 (Activation)      (None, 14, 14, 1024) 0           add_9[0][0]                      
__________________________________________________________________________________________________
res4c_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_28[0][0]              
__________________________________________________________________________________________________
bn4c_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4c_branch2a[0][0]             
__________________________________________________________________________________________________
activation_29 (Activation)      (None, 14, 14, 256)  0           bn4c_branch2a[0][0]              
__________________________________________________________________________________________________
res4c_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_29[0][0]              
__________________________________________________________________________________________________
bn4c_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4c_branch2b[0][0]             
__________________________________________________________________________________________________
activation_30 (Activation)      (None, 14, 14, 256)  0           bn4c_branch2b[0][0]              
__________________________________________________________________________________________________
res4c_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_30[0][0]              
__________________________________________________________________________________________________
bn4c_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4c_branch2c[0][0]             
__________________________________________________________________________________________________
add_10 (Add)                    (None, 14, 14, 1024) 0           bn4c_branch2c[0][0]              
                                                                 activation_28[0][0]              
__________________________________________________________________________________________________
activation_31 (Activation)      (None, 14, 14, 1024) 0           add_10[0][0]                     
__________________________________________________________________________________________________
res4d_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_31[0][0]              
__________________________________________________________________________________________________
bn4d_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4d_branch2a[0][0]             
__________________________________________________________________________________________________
activation_32 (Activation)      (None, 14, 14, 256)  0           bn4d_branch2a[0][0]              
__________________________________________________________________________________________________
res4d_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_32[0][0]              
__________________________________________________________________________________________________
bn4d_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4d_branch2b[0][0]             
__________________________________________________________________________________________________
activation_33 (Activation)      (None, 14, 14, 256)  0           bn4d_branch2b[0][0]              
__________________________________________________________________________________________________
res4d_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_33[0][0]              
__________________________________________________________________________________________________
bn4d_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4d_branch2c[0][0]             
__________________________________________________________________________________________________
add_11 (Add)                    (None, 14, 14, 1024) 0           bn4d_branch2c[0][0]              
                                                                 activation_31[0][0]              
__________________________________________________________________________________________________
activation_34 (Activation)      (None, 14, 14, 1024) 0           add_11[0][0]                     
__________________________________________________________________________________________________
res4e_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_34[0][0]              
__________________________________________________________________________________________________
bn4e_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4e_branch2a[0][0]             
__________________________________________________________________________________________________
activation_35 (Activation)      (None, 14, 14, 256)  0           bn4e_branch2a[0][0]              
__________________________________________________________________________________________________
res4e_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_35[0][0]              
__________________________________________________________________________________________________
bn4e_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4e_branch2b[0][0]             
__________________________________________________________________________________________________
activation_36 (Activation)      (None, 14, 14, 256)  0           bn4e_branch2b[0][0]              
__________________________________________________________________________________________________
res4e_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_36[0][0]              
__________________________________________________________________________________________________
bn4e_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4e_branch2c[0][0]             
__________________________________________________________________________________________________
add_12 (Add)                    (None, 14, 14, 1024) 0           bn4e_branch2c[0][0]              
                                                                 activation_34[0][0]              
__________________________________________________________________________________________________
activation_37 (Activation)      (None, 14, 14, 1024) 0           add_12[0][0]                     
__________________________________________________________________________________________________
res4f_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_37[0][0]              
__________________________________________________________________________________________________
bn4f_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4f_branch2a[0][0]             
__________________________________________________________________________________________________
activation_38 (Activation)      (None, 14, 14, 256)  0           bn4f_branch2a[0][0]              
__________________________________________________________________________________________________
res4f_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_38[0][0]              
__________________________________________________________________________________________________
bn4f_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4f_branch2b[0][0]             
__________________________________________________________________________________________________
activation_39 (Activation)      (None, 14, 14, 256)  0           bn4f_branch2b[0][0]              
__________________________________________________________________________________________________
res4f_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_39[0][0]              
__________________________________________________________________________________________________
bn4f_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4f_branch2c[0][0]             
__________________________________________________________________________________________________
add_13 (Add)                    (None, 14, 14, 1024) 0           bn4f_branch2c[0][0]              
                                                                 activation_37[0][0]              
__________________________________________________________________________________________________
activation_40 (Activation)      (None, 14, 14, 1024) 0           add_13[0][0]                     
__________________________________________________________________________________________________
res5a_branch2a (Conv2D)         (None, 7, 7, 512)    524800      activation_40[0][0]              
__________________________________________________________________________________________________
bn5a_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5a_branch2a[0][0]             
__________________________________________________________________________________________________
activation_41 (Activation)      (None, 7, 7, 512)    0           bn5a_branch2a[0][0]              
__________________________________________________________________________________________________
res5a_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_41[0][0]              
__________________________________________________________________________________________________
bn5a_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5a_branch2b[0][0]             
__________________________________________________________________________________________________
activation_42 (Activation)      (None, 7, 7, 512)    0           bn5a_branch2b[0][0]              
__________________________________________________________________________________________________
res5a_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_42[0][0]              
__________________________________________________________________________________________________
res5a_branch1 (Conv2D)          (None, 7, 7, 2048)   2099200     activation_40[0][0]              
__________________________________________________________________________________________________
bn5a_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5a_branch2c[0][0]             
__________________________________________________________________________________________________
bn5a_branch1 (BatchNormalizatio (None, 7, 7, 2048)   8192        res5a_branch1[0][0]              
__________________________________________________________________________________________________
add_14 (Add)                    (None, 7, 7, 2048)   0           bn5a_branch2c[0][0]              
                                                                 bn5a_branch1[0][0]               
__________________________________________________________________________________________________
activation_43 (Activation)      (None, 7, 7, 2048)   0           add_14[0][0]                     
__________________________________________________________________________________________________
res5b_branch2a (Conv2D)         (None, 7, 7, 512)    1049088     activation_43[0][0]              
__________________________________________________________________________________________________
bn5b_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5b_branch2a[0][0]             
__________________________________________________________________________________________________
activation_44 (Activation)      (None, 7, 7, 512)    0           bn5b_branch2a[0][0]              
__________________________________________________________________________________________________
res5b_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_44[0][0]              
__________________________________________________________________________________________________
bn5b_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5b_branch2b[0][0]             
__________________________________________________________________________________________________
activation_45 (Activation)      (None, 7, 7, 512)    0           bn5b_branch2b[0][0]              
__________________________________________________________________________________________________
res5b_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_45[0][0]              
__________________________________________________________________________________________________
bn5b_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5b_branch2c[0][0]             
__________________________________________________________________________________________________
add_15 (Add)                    (None, 7, 7, 2048)   0           bn5b_branch2c[0][0]              
                                                                 activation_43[0][0]              
__________________________________________________________________________________________________
activation_46 (Activation)      (None, 7, 7, 2048)   0           add_15[0][0]                     
__________________________________________________________________________________________________
res5c_branch2a (Conv2D)         (None, 7, 7, 512)    1049088     activation_46[0][0]              
__________________________________________________________________________________________________
bn5c_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5c_branch2a[0][0]             
__________________________________________________________________________________________________
activation_47 (Activation)      (None, 7, 7, 512)    0           bn5c_branch2a[0][0]              
__________________________________________________________________________________________________
res5c_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_47[0][0]              
__________________________________________________________________________________________________
bn5c_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5c_branch2b[0][0]             
__________________________________________________________________________________________________
activation_48 (Activation)      (None, 7, 7, 512)    0           bn5c_branch2b[0][0]              
__________________________________________________________________________________________________
res5c_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_48[0][0]              
__________________________________________________________________________________________________
bn5c_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5c_branch2c[0][0]             
__________________________________________________________________________________________________
add_16 (Add)                    (None, 7, 7, 2048)   0           bn5c_branch2c[0][0]              
                                                                 activation_46[0][0]              
__________________________________________________________________________________________________
activation_49 (Activation)      (None, 7, 7, 2048)   0           add_16[0][0]                     
__________________________________________________________________________________________________
dropout_1 (Dropout)             (None, 7, 7, 2048)   0           activation_49[0][0]              
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 7, 7, 2048)   8192        dropout_1[0][0]                  
__________________________________________________________________________________________________
global_average_pooling2d_1 (Glo (None, 2048)         0           batch_normalization_1[0][0]      
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 2048)         8192        global_average_pooling2d_1[0][0] 
__________________________________________________________________________________________________
dropout_2 (Dropout)             (None, 2048)         0           batch_normalization_2[0][0]      
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 2048)         8192        dropout_2[0][0]                  
__________________________________________________________________________________________________
dense_1 (Dense)                 (None, 1103)         2260047     batch_normalization_3[0][0]      
==================================================================================================
Total params: 25,872,335
Trainable params: 25,806,927
Non-trainable params: 65,408
__________________________________________________________________________________________________
In [20]:
for layer in model.layers[:-7]:
    layer.trainable = False
In [21]:
for layer in model.layers[-7:]:
    layer.trainable = True
In [22]:
model.summary()
__________________________________________________________________________________________________
Layer (type)                    Output Shape         Param #     Connected to                     
==================================================================================================
input_1 (InputLayer)            (None, 224, 224, 3)  0                                            
__________________________________________________________________________________________________
conv1_pad (ZeroPadding2D)       (None, 230, 230, 3)  0           input_1[0][0]                    
__________________________________________________________________________________________________
conv1 (Conv2D)                  (None, 112, 112, 64) 9472        conv1_pad[0][0]                  
__________________________________________________________________________________________________
bn_conv1 (BatchNormalization)   (None, 112, 112, 64) 256         conv1[0][0]                      
__________________________________________________________________________________________________
activation_1 (Activation)       (None, 112, 112, 64) 0           bn_conv1[0][0]                   
__________________________________________________________________________________________________
pool1_pad (ZeroPadding2D)       (None, 114, 114, 64) 0           activation_1[0][0]               
__________________________________________________________________________________________________
max_pooling2d_1 (MaxPooling2D)  (None, 56, 56, 64)   0           pool1_pad[0][0]                  
__________________________________________________________________________________________________
res2a_branch2a (Conv2D)         (None, 56, 56, 64)   4160        max_pooling2d_1[0][0]            
__________________________________________________________________________________________________
bn2a_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2a_branch2a[0][0]             
__________________________________________________________________________________________________
activation_2 (Activation)       (None, 56, 56, 64)   0           bn2a_branch2a[0][0]              
__________________________________________________________________________________________________
res2a_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_2[0][0]               
__________________________________________________________________________________________________
bn2a_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2a_branch2b[0][0]             
__________________________________________________________________________________________________
activation_3 (Activation)       (None, 56, 56, 64)   0           bn2a_branch2b[0][0]              
__________________________________________________________________________________________________
res2a_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_3[0][0]               
__________________________________________________________________________________________________
res2a_branch1 (Conv2D)          (None, 56, 56, 256)  16640       max_pooling2d_1[0][0]            
__________________________________________________________________________________________________
bn2a_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2a_branch2c[0][0]             
__________________________________________________________________________________________________
bn2a_branch1 (BatchNormalizatio (None, 56, 56, 256)  1024        res2a_branch1[0][0]              
__________________________________________________________________________________________________
add_1 (Add)                     (None, 56, 56, 256)  0           bn2a_branch2c[0][0]              
                                                                 bn2a_branch1[0][0]               
__________________________________________________________________________________________________
activation_4 (Activation)       (None, 56, 56, 256)  0           add_1[0][0]                      
__________________________________________________________________________________________________
res2b_branch2a (Conv2D)         (None, 56, 56, 64)   16448       activation_4[0][0]               
__________________________________________________________________________________________________
bn2b_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2b_branch2a[0][0]             
__________________________________________________________________________________________________
activation_5 (Activation)       (None, 56, 56, 64)   0           bn2b_branch2a[0][0]              
__________________________________________________________________________________________________
res2b_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_5[0][0]               
__________________________________________________________________________________________________
bn2b_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2b_branch2b[0][0]             
__________________________________________________________________________________________________
activation_6 (Activation)       (None, 56, 56, 64)   0           bn2b_branch2b[0][0]              
__________________________________________________________________________________________________
res2b_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_6[0][0]               
__________________________________________________________________________________________________
bn2b_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2b_branch2c[0][0]             
__________________________________________________________________________________________________
add_2 (Add)                     (None, 56, 56, 256)  0           bn2b_branch2c[0][0]              
                                                                 activation_4[0][0]               
__________________________________________________________________________________________________
activation_7 (Activation)       (None, 56, 56, 256)  0           add_2[0][0]                      
__________________________________________________________________________________________________
res2c_branch2a (Conv2D)         (None, 56, 56, 64)   16448       activation_7[0][0]               
__________________________________________________________________________________________________
bn2c_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2c_branch2a[0][0]             
__________________________________________________________________________________________________
activation_8 (Activation)       (None, 56, 56, 64)   0           bn2c_branch2a[0][0]              
__________________________________________________________________________________________________
res2c_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_8[0][0]               
__________________________________________________________________________________________________
bn2c_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2c_branch2b[0][0]             
__________________________________________________________________________________________________
activation_9 (Activation)       (None, 56, 56, 64)   0           bn2c_branch2b[0][0]              
__________________________________________________________________________________________________
res2c_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_9[0][0]               
__________________________________________________________________________________________________
bn2c_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2c_branch2c[0][0]             
__________________________________________________________________________________________________
add_3 (Add)                     (None, 56, 56, 256)  0           bn2c_branch2c[0][0]              
                                                                 activation_7[0][0]               
__________________________________________________________________________________________________
activation_10 (Activation)      (None, 56, 56, 256)  0           add_3[0][0]                      
__________________________________________________________________________________________________
res3a_branch2a (Conv2D)         (None, 28, 28, 128)  32896       activation_10[0][0]              
__________________________________________________________________________________________________
bn3a_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3a_branch2a[0][0]             
__________________________________________________________________________________________________
activation_11 (Activation)      (None, 28, 28, 128)  0           bn3a_branch2a[0][0]              
__________________________________________________________________________________________________
res3a_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_11[0][0]              
__________________________________________________________________________________________________
bn3a_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3a_branch2b[0][0]             
__________________________________________________________________________________________________
activation_12 (Activation)      (None, 28, 28, 128)  0           bn3a_branch2b[0][0]              
__________________________________________________________________________________________________
res3a_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_12[0][0]              
__________________________________________________________________________________________________
res3a_branch1 (Conv2D)          (None, 28, 28, 512)  131584      activation_10[0][0]              
__________________________________________________________________________________________________
bn3a_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3a_branch2c[0][0]             
__________________________________________________________________________________________________
bn3a_branch1 (BatchNormalizatio (None, 28, 28, 512)  2048        res3a_branch1[0][0]              
__________________________________________________________________________________________________
add_4 (Add)                     (None, 28, 28, 512)  0           bn3a_branch2c[0][0]              
                                                                 bn3a_branch1[0][0]               
__________________________________________________________________________________________________
activation_13 (Activation)      (None, 28, 28, 512)  0           add_4[0][0]                      
__________________________________________________________________________________________________
res3b_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_13[0][0]              
__________________________________________________________________________________________________
bn3b_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3b_branch2a[0][0]             
__________________________________________________________________________________________________
activation_14 (Activation)      (None, 28, 28, 128)  0           bn3b_branch2a[0][0]              
__________________________________________________________________________________________________
res3b_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_14[0][0]              
__________________________________________________________________________________________________
bn3b_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3b_branch2b[0][0]             
__________________________________________________________________________________________________
activation_15 (Activation)      (None, 28, 28, 128)  0           bn3b_branch2b[0][0]              
__________________________________________________________________________________________________
res3b_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_15[0][0]              
__________________________________________________________________________________________________
bn3b_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3b_branch2c[0][0]             
__________________________________________________________________________________________________
add_5 (Add)                     (None, 28, 28, 512)  0           bn3b_branch2c[0][0]              
                                                                 activation_13[0][0]              
__________________________________________________________________________________________________
activation_16 (Activation)      (None, 28, 28, 512)  0           add_5[0][0]                      
__________________________________________________________________________________________________
res3c_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_16[0][0]              
__________________________________________________________________________________________________
bn3c_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3c_branch2a[0][0]             
__________________________________________________________________________________________________
activation_17 (Activation)      (None, 28, 28, 128)  0           bn3c_branch2a[0][0]              
__________________________________________________________________________________________________
res3c_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_17[0][0]              
__________________________________________________________________________________________________
bn3c_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3c_branch2b[0][0]             
__________________________________________________________________________________________________
activation_18 (Activation)      (None, 28, 28, 128)  0           bn3c_branch2b[0][0]              
__________________________________________________________________________________________________
res3c_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_18[0][0]              
__________________________________________________________________________________________________
bn3c_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3c_branch2c[0][0]             
__________________________________________________________________________________________________
add_6 (Add)                     (None, 28, 28, 512)  0           bn3c_branch2c[0][0]              
                                                                 activation_16[0][0]              
__________________________________________________________________________________________________
activation_19 (Activation)      (None, 28, 28, 512)  0           add_6[0][0]                      
__________________________________________________________________________________________________
res3d_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_19[0][0]              
__________________________________________________________________________________________________
bn3d_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3d_branch2a[0][0]             
__________________________________________________________________________________________________
activation_20 (Activation)      (None, 28, 28, 128)  0           bn3d_branch2a[0][0]              
__________________________________________________________________________________________________
res3d_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_20[0][0]              
__________________________________________________________________________________________________
bn3d_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3d_branch2b[0][0]             
__________________________________________________________________________________________________
activation_21 (Activation)      (None, 28, 28, 128)  0           bn3d_branch2b[0][0]              
__________________________________________________________________________________________________
res3d_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_21[0][0]              
__________________________________________________________________________________________________
bn3d_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3d_branch2c[0][0]             
__________________________________________________________________________________________________
add_7 (Add)                     (None, 28, 28, 512)  0           bn3d_branch2c[0][0]              
                                                                 activation_19[0][0]              
__________________________________________________________________________________________________
activation_22 (Activation)      (None, 28, 28, 512)  0           add_7[0][0]                      
__________________________________________________________________________________________________
res4a_branch2a (Conv2D)         (None, 14, 14, 256)  131328      activation_22[0][0]              
__________________________________________________________________________________________________
bn4a_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4a_branch2a[0][0]             
__________________________________________________________________________________________________
activation_23 (Activation)      (None, 14, 14, 256)  0           bn4a_branch2a[0][0]              
__________________________________________________________________________________________________
res4a_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_23[0][0]              
__________________________________________________________________________________________________
bn4a_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4a_branch2b[0][0]             
__________________________________________________________________________________________________
activation_24 (Activation)      (None, 14, 14, 256)  0           bn4a_branch2b[0][0]              
__________________________________________________________________________________________________
res4a_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_24[0][0]              
__________________________________________________________________________________________________
res4a_branch1 (Conv2D)          (None, 14, 14, 1024) 525312      activation_22[0][0]              
__________________________________________________________________________________________________
bn4a_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4a_branch2c[0][0]             
__________________________________________________________________________________________________
bn4a_branch1 (BatchNormalizatio (None, 14, 14, 1024) 4096        res4a_branch1[0][0]              
__________________________________________________________________________________________________
add_8 (Add)                     (None, 14, 14, 1024) 0           bn4a_branch2c[0][0]              
                                                                 bn4a_branch1[0][0]               
__________________________________________________________________________________________________
activation_25 (Activation)      (None, 14, 14, 1024) 0           add_8[0][0]                      
__________________________________________________________________________________________________
res4b_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_25[0][0]              
__________________________________________________________________________________________________
bn4b_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4b_branch2a[0][0]             
__________________________________________________________________________________________________
activation_26 (Activation)      (None, 14, 14, 256)  0           bn4b_branch2a[0][0]              
__________________________________________________________________________________________________
res4b_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_26[0][0]              
__________________________________________________________________________________________________
bn4b_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4b_branch2b[0][0]             
__________________________________________________________________________________________________
activation_27 (Activation)      (None, 14, 14, 256)  0           bn4b_branch2b[0][0]              
__________________________________________________________________________________________________
res4b_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_27[0][0]              
__________________________________________________________________________________________________
bn4b_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4b_branch2c[0][0]             
__________________________________________________________________________________________________
add_9 (Add)                     (None, 14, 14, 1024) 0           bn4b_branch2c[0][0]              
                                                                 activation_25[0][0]              
__________________________________________________________________________________________________
activation_28 (Activation)      (None, 14, 14, 1024) 0           add_9[0][0]                      
__________________________________________________________________________________________________
res4c_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_28[0][0]              
__________________________________________________________________________________________________
bn4c_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4c_branch2a[0][0]             
__________________________________________________________________________________________________
activation_29 (Activation)      (None, 14, 14, 256)  0           bn4c_branch2a[0][0]              
__________________________________________________________________________________________________
res4c_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_29[0][0]              
__________________________________________________________________________________________________
bn4c_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4c_branch2b[0][0]             
__________________________________________________________________________________________________
activation_30 (Activation)      (None, 14, 14, 256)  0           bn4c_branch2b[0][0]              
__________________________________________________________________________________________________
res4c_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_30[0][0]              
__________________________________________________________________________________________________
bn4c_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4c_branch2c[0][0]             
__________________________________________________________________________________________________
add_10 (Add)                    (None, 14, 14, 1024) 0           bn4c_branch2c[0][0]              
                                                                 activation_28[0][0]              
__________________________________________________________________________________________________
activation_31 (Activation)      (None, 14, 14, 1024) 0           add_10[0][0]                     
__________________________________________________________________________________________________
res4d_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_31[0][0]              
__________________________________________________________________________________________________
bn4d_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4d_branch2a[0][0]             
__________________________________________________________________________________________________
activation_32 (Activation)      (None, 14, 14, 256)  0           bn4d_branch2a[0][0]              
__________________________________________________________________________________________________
res4d_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_32[0][0]              
__________________________________________________________________________________________________
bn4d_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4d_branch2b[0][0]             
__________________________________________________________________________________________________
activation_33 (Activation)      (None, 14, 14, 256)  0           bn4d_branch2b[0][0]              
__________________________________________________________________________________________________
res4d_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_33[0][0]              
__________________________________________________________________________________________________
bn4d_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4d_branch2c[0][0]             
__________________________________________________________________________________________________
add_11 (Add)                    (None, 14, 14, 1024) 0           bn4d_branch2c[0][0]              
                                                                 activation_31[0][0]              
__________________________________________________________________________________________________
activation_34 (Activation)      (None, 14, 14, 1024) 0           add_11[0][0]                     
__________________________________________________________________________________________________
res4e_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_34[0][0]              
__________________________________________________________________________________________________
bn4e_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4e_branch2a[0][0]             
__________________________________________________________________________________________________
activation_35 (Activation)      (None, 14, 14, 256)  0           bn4e_branch2a[0][0]              
__________________________________________________________________________________________________
res4e_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_35[0][0]              
__________________________________________________________________________________________________
bn4e_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4e_branch2b[0][0]             
__________________________________________________________________________________________________
activation_36 (Activation)      (None, 14, 14, 256)  0           bn4e_branch2b[0][0]              
__________________________________________________________________________________________________
res4e_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_36[0][0]              
__________________________________________________________________________________________________
bn4e_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4e_branch2c[0][0]             
__________________________________________________________________________________________________
add_12 (Add)                    (None, 14, 14, 1024) 0           bn4e_branch2c[0][0]              
                                                                 activation_34[0][0]              
__________________________________________________________________________________________________
activation_37 (Activation)      (None, 14, 14, 1024) 0           add_12[0][0]                     
__________________________________________________________________________________________________
res4f_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_37[0][0]              
__________________________________________________________________________________________________
bn4f_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4f_branch2a[0][0]             
__________________________________________________________________________________________________
activation_38 (Activation)      (None, 14, 14, 256)  0           bn4f_branch2a[0][0]              
__________________________________________________________________________________________________
res4f_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_38[0][0]              
__________________________________________________________________________________________________
bn4f_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4f_branch2b[0][0]             
__________________________________________________________________________________________________
activation_39 (Activation)      (None, 14, 14, 256)  0           bn4f_branch2b[0][0]              
__________________________________________________________________________________________________
res4f_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_39[0][0]              
__________________________________________________________________________________________________
bn4f_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4f_branch2c[0][0]             
__________________________________________________________________________________________________
add_13 (Add)                    (None, 14, 14, 1024) 0           bn4f_branch2c[0][0]              
                                                                 activation_37[0][0]              
__________________________________________________________________________________________________
activation_40 (Activation)      (None, 14, 14, 1024) 0           add_13[0][0]                     
__________________________________________________________________________________________________
res5a_branch2a (Conv2D)         (None, 7, 7, 512)    524800      activation_40[0][0]              
__________________________________________________________________________________________________
bn5a_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5a_branch2a[0][0]             
__________________________________________________________________________________________________
activation_41 (Activation)      (None, 7, 7, 512)    0           bn5a_branch2a[0][0]              
__________________________________________________________________________________________________
res5a_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_41[0][0]              
__________________________________________________________________________________________________
bn5a_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5a_branch2b[0][0]             
__________________________________________________________________________________________________
activation_42 (Activation)      (None, 7, 7, 512)    0           bn5a_branch2b[0][0]              
__________________________________________________________________________________________________
res5a_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_42[0][0]              
__________________________________________________________________________________________________
res5a_branch1 (Conv2D)          (None, 7, 7, 2048)   2099200     activation_40[0][0]              
__________________________________________________________________________________________________
bn5a_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5a_branch2c[0][0]             
__________________________________________________________________________________________________
bn5a_branch1 (BatchNormalizatio (None, 7, 7, 2048)   8192        res5a_branch1[0][0]              
__________________________________________________________________________________________________
add_14 (Add)                    (None, 7, 7, 2048)   0           bn5a_branch2c[0][0]              
                                                                 bn5a_branch1[0][0]               
__________________________________________________________________________________________________
activation_43 (Activation)      (None, 7, 7, 2048)   0           add_14[0][0]                     
__________________________________________________________________________________________________
res5b_branch2a (Conv2D)         (None, 7, 7, 512)    1049088     activation_43[0][0]              
__________________________________________________________________________________________________
bn5b_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5b_branch2a[0][0]             
__________________________________________________________________________________________________
activation_44 (Activation)      (None, 7, 7, 512)    0           bn5b_branch2a[0][0]              
__________________________________________________________________________________________________
res5b_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_44[0][0]              
__________________________________________________________________________________________________
bn5b_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5b_branch2b[0][0]             
__________________________________________________________________________________________________
activation_45 (Activation)      (None, 7, 7, 512)    0           bn5b_branch2b[0][0]              
__________________________________________________________________________________________________
res5b_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_45[0][0]              
__________________________________________________________________________________________________
bn5b_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5b_branch2c[0][0]             
__________________________________________________________________________________________________
add_15 (Add)                    (None, 7, 7, 2048)   0           bn5b_branch2c[0][0]              
                                                                 activation_43[0][0]              
__________________________________________________________________________________________________
activation_46 (Activation)      (None, 7, 7, 2048)   0           add_15[0][0]                     
__________________________________________________________________________________________________
res5c_branch2a (Conv2D)         (None, 7, 7, 512)    1049088     activation_46[0][0]              
__________________________________________________________________________________________________
bn5c_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5c_branch2a[0][0]             
__________________________________________________________________________________________________
activation_47 (Activation)      (None, 7, 7, 512)    0           bn5c_branch2a[0][0]              
__________________________________________________________________________________________________
res5c_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_47[0][0]              
__________________________________________________________________________________________________
bn5c_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5c_branch2b[0][0]             
__________________________________________________________________________________________________
activation_48 (Activation)      (None, 7, 7, 512)    0           bn5c_branch2b[0][0]              
__________________________________________________________________________________________________
res5c_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_48[0][0]              
__________________________________________________________________________________________________
bn5c_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5c_branch2c[0][0]             
__________________________________________________________________________________________________
add_16 (Add)                    (None, 7, 7, 2048)   0           bn5c_branch2c[0][0]              
                                                                 activation_46[0][0]              
__________________________________________________________________________________________________
activation_49 (Activation)      (None, 7, 7, 2048)   0           add_16[0][0]                     
__________________________________________________________________________________________________
dropout_1 (Dropout)             (None, 7, 7, 2048)   0           activation_49[0][0]              
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 7, 7, 2048)   8192        dropout_1[0][0]                  
__________________________________________________________________________________________________
global_average_pooling2d_1 (Glo (None, 2048)         0           batch_normalization_1[0][0]      
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 2048)         8192        global_average_pooling2d_1[0][0] 
__________________________________________________________________________________________________
dropout_2 (Dropout)             (None, 2048)         0           batch_normalization_2[0][0]      
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 2048)         8192        dropout_2[0][0]                  
__________________________________________________________________________________________________
dense_1 (Dense)                 (None, 1103)         2260047     batch_normalization_3[0][0]      
==================================================================================================
Total params: 25,872,335
Trainable params: 2,272,335
Non-trainable params: 23,600,000
__________________________________________________________________________________________________

Custom loss funtion and F score

In [23]:
## precision, recall, and f measure
#def precision(y_true, y_pred):
#    # Calculates the precision
#    true_positives = K.sum(K.round(K.clip(y_true * y_pred, 0, 1)))
#    predicted_positives = K.sum(K.round(K.clip(y_pred, 0, 1)))
#    precision = true_positives / (predicted_positives + K.epsilon())
#    return precision
#
#def recall(y_true, y_pred):
#    # Calculates the recall
#    true_positives = K.sum(K.round(K.clip(y_true * y_pred, 0, 1)))
#    possible_positives = K.sum(K.round(K.clip(y_true, 0, 1)))
#    recall = true_positives / (possible_positives + K.epsilon())
#    return recall
#
#def fbeta_score(y_true, y_pred, beta=2):
#    # Calculates the F score, the weighted harmonic mean of precision and recall.
#    if beta < 0:
#        raise ValueError('The lowest choosable beta is zero (only precision).')
#    
#    # If there are no true positives, fix the F score at 0 like sklearn.
#    if K.sum(K.round(K.clip(y_true, 0, 1))) == 0:
#        return 0
#
#    p = precision(y_true, y_pred)
#    r = recall(y_true, y_pred)
#    bb = beta ** 2
#    fbeta_score = (1 + bb) * (p * r) / (bb * p + r + K.epsilon())
#    return fbeta_score
#
#def fmeasure(y_true, y_pred):
#    # Calculates the f-measure, the harmonic mean of precision and recall.
#    return fbeta_score(y_true, y_pred, beta=2)
In [24]:
beta_f2=2

# if gamma == 0.0:
#     F2_THRESHOLD = 0.1
# elif gamma == 1.0:
#     F2_THRESHOLD = 0.2
# else:
#     F2_THRESHOLD = 0.3

# print(F2_THRESHOLD)
    
def f2(y_true, y_pred):
    #y_pred = K.round(y_pred)
#     y_pred = K.cast(K.greater(K.clip(y_pred, 0, 1), F2_THRESHOLD), K.floatx())
    tp = K.sum(K.cast(y_true*y_pred, 'float'), axis=1)
    tn = K.sum(K.cast((1-y_true)*(1-y_pred), 'float'), axis=1)
    fp = K.sum(K.cast((1-y_true)*y_pred, 'float'), axis=1)
    fn = K.sum(K.cast(y_true*(1-y_pred), 'float'), axis=1)

    p = tp / (tp + fp + K.epsilon())
    r = tp / (tp + fn + K.epsilon())

    f2 = (1+beta_f2**2)*p*r / (p*beta_f2**2 + r + K.epsilon())
    f2 = tf.where(tf.is_nan(f2), tf.zeros_like(f2), f2)
    return K.mean(f2)
In [25]:
#from keras import backend as K
#import tensorflow as tf
#
#import dill
#
#
#def binary_focal_loss(gamma=2., alpha=0.25):
#
#    def binary_focal_loss_fixed(y_true, y_pred):
#        
#        pt_1 = tf.where(tf.equal(y_true, 1), y_pred, tf.ones_like(y_pred))
#        pt_0 = tf.where(tf.equal(y_true, 0), y_pred, tf.zeros_like(y_pred))
#
#        epsilon = K.epsilon()
#        # clip to prevent NaN's and Inf's
#        pt_1 = K.clip(pt_1, epsilon, 1. - epsilon)
#        pt_0 = K.clip(pt_0, epsilon, 1. - epsilon)
#
#        return -K.sum(alpha * K.pow(1. - pt_1, gamma) * K.log(pt_1)) \
#               -K.sum((1 - alpha) * K.pow(pt_0, gamma) * K.log(1. - pt_0))
#
#    return binary_focal_loss_fixed
In [26]:
# focal loss
#def focal_loss(gamma=2., alpha=4.):#

#    gamma = float(gamma)
#    alpha = float(alpha)
#
#    def focal_loss_fixed(y_true, y_pred):
#        epsilon = 1.e-7
#        y_true = tf.convert_to_tensor(y_true, tf.float32)
#        y_pred = tf.convert_to_tensor(y_pred, tf.float32)
#
#        model_out = tf.add(y_pred, epsilon)
#        ce = tf.multiply(y_true, -tf.log(model_out))
#        weight = tf.multiply(y_true, tf.pow(tf.subtract(1., model_out), gamma))
#        fl = tf.multiply(alpha, tf.multiply(weight, ce))
#        reduced_fl = tf.reduce_max(fl, axis=1)
#        return tf.reduce_mean(reduced_fl)
#    return focal_loss_fixed

def focal_loss(gamma=2., alpha=2):
    gamma = 2.0
    epsilon = K.epsilon()
    def focal_loss(y_true, y_pred):
        pt = y_pred * y_true + (1-y_pred) * (1-y_true)
        pt = K.clip(pt, epsilon, 1-epsilon)
        CE = -K.log(pt)
        FL = K.pow(1-pt, gamma) * CE
        loss = K.sum(FL, axis=1)
        return loss
    return focal_loss
In [27]:
import tensorflow as tf
import keras.backend as K

def f1_macro(y_true, y_pred):
    y_pred = K.round(y_pred)
    tp = K.sum(K.cast(y_true*y_pred, 'float'), axis=0)
    # tn = K.sum(K.cast((1-y_true)*(1-y_pred), 'float'), axis=0)
    fp = K.sum(K.cast((1-y_true)*y_pred, 'float'), axis=0)
    fn = K.sum(K.cast(y_true*(1-y_pred), 'float'), axis=0)

    p = tp / (tp + fp + K.epsilon())
    r = tp / (tp + fn + K.epsilon())

    f1 = 2*p*r / (p+r+K.epsilon())
    f1 = tf.where(tf.is_nan(f1), tf.zeros_like(f1), f1)
    return K.mean(f1)

Training

In [28]:
os.mkdir("../checkpoint/")
In [29]:
os.listdir("../")
Out[29]:
['input', 'checkpoint', 'working', 'src', 'lib']
In [30]:
model.compile(optimizer=Adam(lr=1e-3),
                     loss="binary_crossentropy",
                     metrics=['accuracy',f1_macro,f2])
#custom_model.compile(optimizer=Adam(lr=1e-3), loss=focal_loss(), metrics=['accuracy',f1_macro,f2])
In [31]:
tensorboard = TensorBoard(log_dir ='../training',
                          write_graph=True,
                          write_images=True,
                          update_freq='batch'
                            )
reduce_lr = ReduceLROnPlateau(monitor='val_acc', 
                              factor=0.5,patience=5, min_lr=0.0001)
early_stopping = EarlyStopping(monitor='acc', min_delta=0, patience=10, verbose=1)
checkpoint = ModelCheckpoint('../checkpoint/weights.{epoch:02d}-{val_acc:.5f}_binary_crossentropy_f1_macro.hdf5',
                             monitor='val_acc', verbose=1, save_best_only=True, mode='auto')
In [32]:
batch_size_train=32
batch_size_val=32
history=model.fit_generator(generator(data_trainning,batch_size_train),
                steps_per_epoch=max(1, len(data_trainning)//batch_size_train),
                validation_data=generator(data_val,batch_size_val),#
                validation_steps=max(1, len(data_val)//batch_size_val),#
                epochs=1,
                callbacks=[reduce_lr,checkpoint,tensorboard,reduce_lr])
WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
Epoch 1/1
2389/2389 [==============================] - 1065s 446ms/step - loss: 0.0284 - acc: 0.9892 - f1_macro: 0.0070 - f2: 0.1630 - val_loss: 0.0170 - val_acc: 0.9971 - val_f1_macro: 0.0000e+00 - val_f2: 0.0366

Epoch 00001: val_acc improved from -inf to 0.99713, saving model to ../checkpoint/weights.01-0.99713_binary_crossentropy_f1_macro.hdf5
In [33]:
os.mkdir("../model")
In [34]:
model.save("../model/model.h5")
In [35]:
os.listdir("../model/")
Out[35]:
['model.h5']
In [36]:
model_s2=creat_model()
/opt/conda/lib/python3.6/site-packages/keras_applications/resnet50.py:265: UserWarning: The output shape of `ResNet50(include_top=False)` has been changed since Keras 2.2.0.
  warnings.warn('The output shape of `ResNet50(include_top=False)` '
In [37]:
model_s2.load_weights("../model/model.h5")
In [38]:
for layer in model_s2.layers[:]:
    layer.trainable = True
In [39]:
model_s2.summary()
__________________________________________________________________________________________________
Layer (type)                    Output Shape         Param #     Connected to                     
==================================================================================================
input_2 (InputLayer)            (None, 224, 224, 3)  0                                            
__________________________________________________________________________________________________
conv1_pad (ZeroPadding2D)       (None, 230, 230, 3)  0           input_2[0][0]                    
__________________________________________________________________________________________________
conv1 (Conv2D)                  (None, 112, 112, 64) 9472        conv1_pad[0][0]                  
__________________________________________________________________________________________________
bn_conv1 (BatchNormalization)   (None, 112, 112, 64) 256         conv1[0][0]                      
__________________________________________________________________________________________________
activation_50 (Activation)      (None, 112, 112, 64) 0           bn_conv1[0][0]                   
__________________________________________________________________________________________________
pool1_pad (ZeroPadding2D)       (None, 114, 114, 64) 0           activation_50[0][0]              
__________________________________________________________________________________________________
max_pooling2d_2 (MaxPooling2D)  (None, 56, 56, 64)   0           pool1_pad[0][0]                  
__________________________________________________________________________________________________
res2a_branch2a (Conv2D)         (None, 56, 56, 64)   4160        max_pooling2d_2[0][0]            
__________________________________________________________________________________________________
bn2a_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2a_branch2a[0][0]             
__________________________________________________________________________________________________
activation_51 (Activation)      (None, 56, 56, 64)   0           bn2a_branch2a[0][0]              
__________________________________________________________________________________________________
res2a_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_51[0][0]              
__________________________________________________________________________________________________
bn2a_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2a_branch2b[0][0]             
__________________________________________________________________________________________________
activation_52 (Activation)      (None, 56, 56, 64)   0           bn2a_branch2b[0][0]              
__________________________________________________________________________________________________
res2a_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_52[0][0]              
__________________________________________________________________________________________________
res2a_branch1 (Conv2D)          (None, 56, 56, 256)  16640       max_pooling2d_2[0][0]            
__________________________________________________________________________________________________
bn2a_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2a_branch2c[0][0]             
__________________________________________________________________________________________________
bn2a_branch1 (BatchNormalizatio (None, 56, 56, 256)  1024        res2a_branch1[0][0]              
__________________________________________________________________________________________________
add_17 (Add)                    (None, 56, 56, 256)  0           bn2a_branch2c[0][0]              
                                                                 bn2a_branch1[0][0]               
__________________________________________________________________________________________________
activation_53 (Activation)      (None, 56, 56, 256)  0           add_17[0][0]                     
__________________________________________________________________________________________________
res2b_branch2a (Conv2D)         (None, 56, 56, 64)   16448       activation_53[0][0]              
__________________________________________________________________________________________________
bn2b_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2b_branch2a[0][0]             
__________________________________________________________________________________________________
activation_54 (Activation)      (None, 56, 56, 64)   0           bn2b_branch2a[0][0]              
__________________________________________________________________________________________________
res2b_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_54[0][0]              
__________________________________________________________________________________________________
bn2b_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2b_branch2b[0][0]             
__________________________________________________________________________________________________
activation_55 (Activation)      (None, 56, 56, 64)   0           bn2b_branch2b[0][0]              
__________________________________________________________________________________________________
res2b_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_55[0][0]              
__________________________________________________________________________________________________
bn2b_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2b_branch2c[0][0]             
__________________________________________________________________________________________________
add_18 (Add)                    (None, 56, 56, 256)  0           bn2b_branch2c[0][0]              
                                                                 activation_53[0][0]              
__________________________________________________________________________________________________
activation_56 (Activation)      (None, 56, 56, 256)  0           add_18[0][0]                     
__________________________________________________________________________________________________
res2c_branch2a (Conv2D)         (None, 56, 56, 64)   16448       activation_56[0][0]              
__________________________________________________________________________________________________
bn2c_branch2a (BatchNormalizati (None, 56, 56, 64)   256         res2c_branch2a[0][0]             
__________________________________________________________________________________________________
activation_57 (Activation)      (None, 56, 56, 64)   0           bn2c_branch2a[0][0]              
__________________________________________________________________________________________________
res2c_branch2b (Conv2D)         (None, 56, 56, 64)   36928       activation_57[0][0]              
__________________________________________________________________________________________________
bn2c_branch2b (BatchNormalizati (None, 56, 56, 64)   256         res2c_branch2b[0][0]             
__________________________________________________________________________________________________
activation_58 (Activation)      (None, 56, 56, 64)   0           bn2c_branch2b[0][0]              
__________________________________________________________________________________________________
res2c_branch2c (Conv2D)         (None, 56, 56, 256)  16640       activation_58[0][0]              
__________________________________________________________________________________________________
bn2c_branch2c (BatchNormalizati (None, 56, 56, 256)  1024        res2c_branch2c[0][0]             
__________________________________________________________________________________________________
add_19 (Add)                    (None, 56, 56, 256)  0           bn2c_branch2c[0][0]              
                                                                 activation_56[0][0]              
__________________________________________________________________________________________________
activation_59 (Activation)      (None, 56, 56, 256)  0           add_19[0][0]                     
__________________________________________________________________________________________________
res3a_branch2a (Conv2D)         (None, 28, 28, 128)  32896       activation_59[0][0]              
__________________________________________________________________________________________________
bn3a_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3a_branch2a[0][0]             
__________________________________________________________________________________________________
activation_60 (Activation)      (None, 28, 28, 128)  0           bn3a_branch2a[0][0]              
__________________________________________________________________________________________________
res3a_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_60[0][0]              
__________________________________________________________________________________________________
bn3a_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3a_branch2b[0][0]             
__________________________________________________________________________________________________
activation_61 (Activation)      (None, 28, 28, 128)  0           bn3a_branch2b[0][0]              
__________________________________________________________________________________________________
res3a_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_61[0][0]              
__________________________________________________________________________________________________
res3a_branch1 (Conv2D)          (None, 28, 28, 512)  131584      activation_59[0][0]              
__________________________________________________________________________________________________
bn3a_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3a_branch2c[0][0]             
__________________________________________________________________________________________________
bn3a_branch1 (BatchNormalizatio (None, 28, 28, 512)  2048        res3a_branch1[0][0]              
__________________________________________________________________________________________________
add_20 (Add)                    (None, 28, 28, 512)  0           bn3a_branch2c[0][0]              
                                                                 bn3a_branch1[0][0]               
__________________________________________________________________________________________________
activation_62 (Activation)      (None, 28, 28, 512)  0           add_20[0][0]                     
__________________________________________________________________________________________________
res3b_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_62[0][0]              
__________________________________________________________________________________________________
bn3b_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3b_branch2a[0][0]             
__________________________________________________________________________________________________
activation_63 (Activation)      (None, 28, 28, 128)  0           bn3b_branch2a[0][0]              
__________________________________________________________________________________________________
res3b_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_63[0][0]              
__________________________________________________________________________________________________
bn3b_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3b_branch2b[0][0]             
__________________________________________________________________________________________________
activation_64 (Activation)      (None, 28, 28, 128)  0           bn3b_branch2b[0][0]              
__________________________________________________________________________________________________
res3b_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_64[0][0]              
__________________________________________________________________________________________________
bn3b_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3b_branch2c[0][0]             
__________________________________________________________________________________________________
add_21 (Add)                    (None, 28, 28, 512)  0           bn3b_branch2c[0][0]              
                                                                 activation_62[0][0]              
__________________________________________________________________________________________________
activation_65 (Activation)      (None, 28, 28, 512)  0           add_21[0][0]                     
__________________________________________________________________________________________________
res3c_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_65[0][0]              
__________________________________________________________________________________________________
bn3c_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3c_branch2a[0][0]             
__________________________________________________________________________________________________
activation_66 (Activation)      (None, 28, 28, 128)  0           bn3c_branch2a[0][0]              
__________________________________________________________________________________________________
res3c_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_66[0][0]              
__________________________________________________________________________________________________
bn3c_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3c_branch2b[0][0]             
__________________________________________________________________________________________________
activation_67 (Activation)      (None, 28, 28, 128)  0           bn3c_branch2b[0][0]              
__________________________________________________________________________________________________
res3c_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_67[0][0]              
__________________________________________________________________________________________________
bn3c_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3c_branch2c[0][0]             
__________________________________________________________________________________________________
add_22 (Add)                    (None, 28, 28, 512)  0           bn3c_branch2c[0][0]              
                                                                 activation_65[0][0]              
__________________________________________________________________________________________________
activation_68 (Activation)      (None, 28, 28, 512)  0           add_22[0][0]                     
__________________________________________________________________________________________________
res3d_branch2a (Conv2D)         (None, 28, 28, 128)  65664       activation_68[0][0]              
__________________________________________________________________________________________________
bn3d_branch2a (BatchNormalizati (None, 28, 28, 128)  512         res3d_branch2a[0][0]             
__________________________________________________________________________________________________
activation_69 (Activation)      (None, 28, 28, 128)  0           bn3d_branch2a[0][0]              
__________________________________________________________________________________________________
res3d_branch2b (Conv2D)         (None, 28, 28, 128)  147584      activation_69[0][0]              
__________________________________________________________________________________________________
bn3d_branch2b (BatchNormalizati (None, 28, 28, 128)  512         res3d_branch2b[0][0]             
__________________________________________________________________________________________________
activation_70 (Activation)      (None, 28, 28, 128)  0           bn3d_branch2b[0][0]              
__________________________________________________________________________________________________
res3d_branch2c (Conv2D)         (None, 28, 28, 512)  66048       activation_70[0][0]              
__________________________________________________________________________________________________
bn3d_branch2c (BatchNormalizati (None, 28, 28, 512)  2048        res3d_branch2c[0][0]             
__________________________________________________________________________________________________
add_23 (Add)                    (None, 28, 28, 512)  0           bn3d_branch2c[0][0]              
                                                                 activation_68[0][0]              
__________________________________________________________________________________________________
activation_71 (Activation)      (None, 28, 28, 512)  0           add_23[0][0]                     
__________________________________________________________________________________________________
res4a_branch2a (Conv2D)         (None, 14, 14, 256)  131328      activation_71[0][0]              
__________________________________________________________________________________________________
bn4a_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4a_branch2a[0][0]             
__________________________________________________________________________________________________
activation_72 (Activation)      (None, 14, 14, 256)  0           bn4a_branch2a[0][0]              
__________________________________________________________________________________________________
res4a_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_72[0][0]              
__________________________________________________________________________________________________
bn4a_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4a_branch2b[0][0]             
__________________________________________________________________________________________________
activation_73 (Activation)      (None, 14, 14, 256)  0           bn4a_branch2b[0][0]              
__________________________________________________________________________________________________
res4a_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_73[0][0]              
__________________________________________________________________________________________________
res4a_branch1 (Conv2D)          (None, 14, 14, 1024) 525312      activation_71[0][0]              
__________________________________________________________________________________________________
bn4a_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4a_branch2c[0][0]             
__________________________________________________________________________________________________
bn4a_branch1 (BatchNormalizatio (None, 14, 14, 1024) 4096        res4a_branch1[0][0]              
__________________________________________________________________________________________________
add_24 (Add)                    (None, 14, 14, 1024) 0           bn4a_branch2c[0][0]              
                                                                 bn4a_branch1[0][0]               
__________________________________________________________________________________________________
activation_74 (Activation)      (None, 14, 14, 1024) 0           add_24[0][0]                     
__________________________________________________________________________________________________
res4b_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_74[0][0]              
__________________________________________________________________________________________________
bn4b_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4b_branch2a[0][0]             
__________________________________________________________________________________________________
activation_75 (Activation)      (None, 14, 14, 256)  0           bn4b_branch2a[0][0]              
__________________________________________________________________________________________________
res4b_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_75[0][0]              
__________________________________________________________________________________________________
bn4b_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4b_branch2b[0][0]             
__________________________________________________________________________________________________
activation_76 (Activation)      (None, 14, 14, 256)  0           bn4b_branch2b[0][0]              
__________________________________________________________________________________________________
res4b_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_76[0][0]              
__________________________________________________________________________________________________
bn4b_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4b_branch2c[0][0]             
__________________________________________________________________________________________________
add_25 (Add)                    (None, 14, 14, 1024) 0           bn4b_branch2c[0][0]              
                                                                 activation_74[0][0]              
__________________________________________________________________________________________________
activation_77 (Activation)      (None, 14, 14, 1024) 0           add_25[0][0]                     
__________________________________________________________________________________________________
res4c_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_77[0][0]              
__________________________________________________________________________________________________
bn4c_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4c_branch2a[0][0]             
__________________________________________________________________________________________________
activation_78 (Activation)      (None, 14, 14, 256)  0           bn4c_branch2a[0][0]              
__________________________________________________________________________________________________
res4c_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_78[0][0]              
__________________________________________________________________________________________________
bn4c_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4c_branch2b[0][0]             
__________________________________________________________________________________________________
activation_79 (Activation)      (None, 14, 14, 256)  0           bn4c_branch2b[0][0]              
__________________________________________________________________________________________________
res4c_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_79[0][0]              
__________________________________________________________________________________________________
bn4c_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4c_branch2c[0][0]             
__________________________________________________________________________________________________
add_26 (Add)                    (None, 14, 14, 1024) 0           bn4c_branch2c[0][0]              
                                                                 activation_77[0][0]              
__________________________________________________________________________________________________
activation_80 (Activation)      (None, 14, 14, 1024) 0           add_26[0][0]                     
__________________________________________________________________________________________________
res4d_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_80[0][0]              
__________________________________________________________________________________________________
bn4d_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4d_branch2a[0][0]             
__________________________________________________________________________________________________
activation_81 (Activation)      (None, 14, 14, 256)  0           bn4d_branch2a[0][0]              
__________________________________________________________________________________________________
res4d_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_81[0][0]              
__________________________________________________________________________________________________
bn4d_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4d_branch2b[0][0]             
__________________________________________________________________________________________________
activation_82 (Activation)      (None, 14, 14, 256)  0           bn4d_branch2b[0][0]              
__________________________________________________________________________________________________
res4d_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_82[0][0]              
__________________________________________________________________________________________________
bn4d_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4d_branch2c[0][0]             
__________________________________________________________________________________________________
add_27 (Add)                    (None, 14, 14, 1024) 0           bn4d_branch2c[0][0]              
                                                                 activation_80[0][0]              
__________________________________________________________________________________________________
activation_83 (Activation)      (None, 14, 14, 1024) 0           add_27[0][0]                     
__________________________________________________________________________________________________
res4e_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_83[0][0]              
__________________________________________________________________________________________________
bn4e_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4e_branch2a[0][0]             
__________________________________________________________________________________________________
activation_84 (Activation)      (None, 14, 14, 256)  0           bn4e_branch2a[0][0]              
__________________________________________________________________________________________________
res4e_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_84[0][0]              
__________________________________________________________________________________________________
bn4e_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4e_branch2b[0][0]             
__________________________________________________________________________________________________
activation_85 (Activation)      (None, 14, 14, 256)  0           bn4e_branch2b[0][0]              
__________________________________________________________________________________________________
res4e_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_85[0][0]              
__________________________________________________________________________________________________
bn4e_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4e_branch2c[0][0]             
__________________________________________________________________________________________________
add_28 (Add)                    (None, 14, 14, 1024) 0           bn4e_branch2c[0][0]              
                                                                 activation_83[0][0]              
__________________________________________________________________________________________________
activation_86 (Activation)      (None, 14, 14, 1024) 0           add_28[0][0]                     
__________________________________________________________________________________________________
res4f_branch2a (Conv2D)         (None, 14, 14, 256)  262400      activation_86[0][0]              
__________________________________________________________________________________________________
bn4f_branch2a (BatchNormalizati (None, 14, 14, 256)  1024        res4f_branch2a[0][0]             
__________________________________________________________________________________________________
activation_87 (Activation)      (None, 14, 14, 256)  0           bn4f_branch2a[0][0]              
__________________________________________________________________________________________________
res4f_branch2b (Conv2D)         (None, 14, 14, 256)  590080      activation_87[0][0]              
__________________________________________________________________________________________________
bn4f_branch2b (BatchNormalizati (None, 14, 14, 256)  1024        res4f_branch2b[0][0]             
__________________________________________________________________________________________________
activation_88 (Activation)      (None, 14, 14, 256)  0           bn4f_branch2b[0][0]              
__________________________________________________________________________________________________
res4f_branch2c (Conv2D)         (None, 14, 14, 1024) 263168      activation_88[0][0]              
__________________________________________________________________________________________________
bn4f_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096        res4f_branch2c[0][0]             
__________________________________________________________________________________________________
add_29 (Add)                    (None, 14, 14, 1024) 0           bn4f_branch2c[0][0]              
                                                                 activation_86[0][0]              
__________________________________________________________________________________________________
activation_89 (Activation)      (None, 14, 14, 1024) 0           add_29[0][0]                     
__________________________________________________________________________________________________
res5a_branch2a (Conv2D)         (None, 7, 7, 512)    524800      activation_89[0][0]              
__________________________________________________________________________________________________
bn5a_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5a_branch2a[0][0]             
__________________________________________________________________________________________________
activation_90 (Activation)      (None, 7, 7, 512)    0           bn5a_branch2a[0][0]              
__________________________________________________________________________________________________
res5a_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_90[0][0]              
__________________________________________________________________________________________________
bn5a_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5a_branch2b[0][0]             
__________________________________________________________________________________________________
activation_91 (Activation)      (None, 7, 7, 512)    0           bn5a_branch2b[0][0]              
__________________________________________________________________________________________________
res5a_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_91[0][0]              
__________________________________________________________________________________________________
res5a_branch1 (Conv2D)          (None, 7, 7, 2048)   2099200     activation_89[0][0]              
__________________________________________________________________________________________________
bn5a_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5a_branch2c[0][0]             
__________________________________________________________________________________________________
bn5a_branch1 (BatchNormalizatio (None, 7, 7, 2048)   8192        res5a_branch1[0][0]              
__________________________________________________________________________________________________
add_30 (Add)                    (None, 7, 7, 2048)   0           bn5a_branch2c[0][0]              
                                                                 bn5a_branch1[0][0]               
__________________________________________________________________________________________________
activation_92 (Activation)      (None, 7, 7, 2048)   0           add_30[0][0]                     
__________________________________________________________________________________________________
res5b_branch2a (Conv2D)         (None, 7, 7, 512)    1049088     activation_92[0][0]              
__________________________________________________________________________________________________
bn5b_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5b_branch2a[0][0]             
__________________________________________________________________________________________________
activation_93 (Activation)      (None, 7, 7, 512)    0           bn5b_branch2a[0][0]              
__________________________________________________________________________________________________
res5b_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_93[0][0]              
__________________________________________________________________________________________________
bn5b_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5b_branch2b[0][0]             
__________________________________________________________________________________________________
activation_94 (Activation)      (None, 7, 7, 512)    0           bn5b_branch2b[0][0]              
__________________________________________________________________________________________________
res5b_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_94[0][0]              
__________________________________________________________________________________________________
bn5b_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5b_branch2c[0][0]             
__________________________________________________________________________________________________
add_31 (Add)                    (None, 7, 7, 2048)   0           bn5b_branch2c[0][0]              
                                                                 activation_92[0][0]              
__________________________________________________________________________________________________
activation_95 (Activation)      (None, 7, 7, 2048)   0           add_31[0][0]                     
__________________________________________________________________________________________________
res5c_branch2a (Conv2D)         (None, 7, 7, 512)    1049088     activation_95[0][0]              
__________________________________________________________________________________________________
bn5c_branch2a (BatchNormalizati (None, 7, 7, 512)    2048        res5c_branch2a[0][0]             
__________________________________________________________________________________________________
activation_96 (Activation)      (None, 7, 7, 512)    0           bn5c_branch2a[0][0]              
__________________________________________________________________________________________________
res5c_branch2b (Conv2D)         (None, 7, 7, 512)    2359808     activation_96[0][0]              
__________________________________________________________________________________________________
bn5c_branch2b (BatchNormalizati (None, 7, 7, 512)    2048        res5c_branch2b[0][0]             
__________________________________________________________________________________________________
activation_97 (Activation)      (None, 7, 7, 512)    0           bn5c_branch2b[0][0]              
__________________________________________________________________________________________________
res5c_branch2c (Conv2D)         (None, 7, 7, 2048)   1050624     activation_97[0][0]              
__________________________________________________________________________________________________
bn5c_branch2c (BatchNormalizati (None, 7, 7, 2048)   8192        res5c_branch2c[0][0]             
__________________________________________________________________________________________________
add_32 (Add)                    (None, 7, 7, 2048)   0           bn5c_branch2c[0][0]              
                                                                 activation_95[0][0]              
__________________________________________________________________________________________________
activation_98 (Activation)      (None, 7, 7, 2048)   0           add_32[0][0]                     
__________________________________________________________________________________________________
dropout_3 (Dropout)             (None, 7, 7, 2048)   0           activation_98[0][0]              
__________________________________________________________________________________________________
batch_normalization_4 (BatchNor (None, 7, 7, 2048)   8192        dropout_3[0][0]                  
__________________________________________________________________________________________________
global_average_pooling2d_2 (Glo (None, 2048)         0           batch_normalization_4[0][0]      
__________________________________________________________________________________________________
batch_normalization_5 (BatchNor (None, 2048)         8192        global_average_pooling2d_2[0][0] 
__________________________________________________________________________________________________
dropout_4 (Dropout)             (None, 2048)         0           batch_normalization_5[0][0]      
__________________________________________________________________________________________________
batch_normalization_6 (BatchNor (None, 2048)         8192        dropout_4[0][0]                  
__________________________________________________________________________________________________
dense_2 (Dense)                 (None, 1103)         2260047     batch_normalization_6[0][0]      
==================================================================================================
Total params: 25,872,335
Trainable params: 25,806,927
Non-trainable params: 65,408
__________________________________________________________________________________________________
In [40]:
model_s2.compile(optimizer=Adam(lr=1e-3),
                     loss="binary_crossentropy",
                     metrics=['accuracy',f1_macro,f2])
#custom_model.compile(optimizer=Adam(lr=1e-3), loss=focal_loss(), metrics=['accuracy',f1_macro,f2])
In [41]:
batch_size_train=32
batch_size_val=32
history=model_s2.fit_generator(generator(data_trainning,batch_size_train),
                steps_per_epoch=max(1, len(data_trainning)//batch_size_train),
                validation_data=generator(data_val,batch_size_val),#
                validation_steps=max(1, len(data_val)//batch_size_val),#
                epochs=10,
                callbacks=[reduce_lr,checkpoint,tensorboard,reduce_lr])
Epoch 1/10
2389/2389 [==============================] - 1140s 477ms/step - loss: 0.0152 - acc: 0.9971 - f1_macro: 6.5628e-04 - f2: 0.0639 - val_loss: 0.0205 - val_acc: 0.9965 - val_f1_macro: 6.6790e-04 - val_f2: 0.0575

Epoch 00001: val_acc did not improve from 0.99713
Epoch 2/10
2389/2389 [==============================] - 1097s 459ms/step - loss: 0.0142 - acc: 0.9971 - f1_macro: 7.9101e-04 - f2: 0.0702 - val_loss: 0.0295 - val_acc: 0.9949 - val_f1_macro: 0.0015 - val_f2: 0.0687

Epoch 00002: val_acc did not improve from 0.99713
Epoch 3/10
2389/2389 [==============================] - 1089s 456ms/step - loss: 0.0135 - acc: 0.9971 - f1_macro: 0.0013 - f2: 0.0816 - val_loss: 0.0188 - val_acc: 0.9963 - val_f1_macro: 0.0021 - val_f2: 0.0926

Epoch 00003: val_acc did not improve from 0.99713
Epoch 4/10
2389/2389 [==============================] - 1100s 460ms/step - loss: 0.0129 - acc: 0.9972 - f1_macro: 0.0019 - f2: 0.0975 - val_loss: 0.0255 - val_acc: 0.9955 - val_f1_macro: 0.0025 - val_f2: 0.1011

Epoch 00004: val_acc did not improve from 0.99713
Epoch 5/10
1404/2389 [================>.............] - ETA: 5:32 - loss: 0.0126 - acc: 0.9972 - f1_macro: 0.0023 - f2: 0.1071
In [42]:
model_s2.save("../model_0.3478.h5")

Training with focal loss

In [43]:
#print(K.eval(model_s2.optimizer.lr))
#lr=(K.eval(model_s2.optimizer.lr
#model_s2.compile(optimizer=Adam(lr=lr),
#                     loss=focal_loss(),
#                     metrics=['accuracy',f1_macro,f2])
#tensorboard = TensorBoard(log_dir ='training',
#                          write_graph=True,
#                          write_images=True,
#                          update_freq='batch'
#                            )
#
#reduce_lr = ReduceLROnPlateau(monitor='val_loss', 
#                              factor=0.5,patience=5, min_lr=0.0001)
#
#early_stopping = EarlyStopping(monitor='loss', min_delta=0, patience=10, verbose=1)
#checkpoint = ModelCheckpoint('../weights.{epoch:02d}-{val_acc:.5f}_focal_f1_macro.hdf5',
#                             monitor='val_loss', verbose=1, save_best_only=True, mode='auto')
#batch_size_train=32
#batch_size_val=32
#history=model_s2.fit_generator(generator(data_trainning,batch_size_train),
#                steps_per_epoch=max(1, len(data_trainning)//batch_size_train),
#                validation_data=generator(data_val,batch_size_val),#
#                validation_steps=max(1, len(data_val)//batch_size_val),#
#                epochs=10,
#                callbacks=[reduce_lr,checkpoint,tensorboard,reduce_lr])
In [44]:
def my_f2(y_true, y_pred):
    assert y_true.shape[0] == y_pred.shape[0]

    tp = np.sum((y_true == 1) & (y_pred == 1),axis=1)
    tn = np.sum((y_true == 0) & (y_pred == 0),axis=1)
    fp = np.sum((y_true == 0) & (y_pred == 1),axis=1)
    fn = np.sum((y_true == 1) & (y_pred == 0),axis=1)
    
    p = tp / (tp + fp + K.epsilon())
    r = tp / (tp + fn + K.epsilon())

    f2 = (1+beta_f2**2)*p*r / (p*beta_f2**2 + r + 1e-15)

    return np.mean(f2)

def find_best_fixed_threshold(preds, targs, do_plot=True):
    score = []
    thrs = np.arange(0, 0.5, 0.01)
    for thr in tqdm(thrs):
        score.append(my_f2(targs, (preds > thr).astype(int) ))
    score = np.array(score)
    pm = score.argmax()
    best_thr, best_score = thrs[pm], score[pm].item()
    print(f'thr={best_thr:.3f}', f'F2={best_score:.3f}')
    if do_plot:
        plt.plot(thrs, score)
        plt.vlines(x=best_thr, ymin=score.min(), ymax=score.max())
        plt.text(best_thr+0.03, best_score-0.01, f'$F_{2}=${best_score:.3f}', fontsize=14);
        plt.show()
    return best_thr, best_score

Evalution

In [45]:
def creat_square_test(in_img,value=0):
    img = cv2.imread("../input/imet-2019-fgvc6/test/"+in_img+'.png')
    #grey_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    grey_img=img
    h, w = grey_img.shape[:2]
    edge_square = max(h,w)  
    ground_square=np.ones(shape=[edge_square,edge_square,3])*value
    if h<w:
        x1=np.floor((w-h)/2).astype(int)
        x2=np.floor((w-h)/2+h).astype(int)
        ground_square[x1:x2,:]=grey_img   
    elif h>w:
        x1=np.floor((h-w)/2).astype(int)
        x2=np.floor((h-w)/2+w).astype(int)
        ground_square[:,x1:x2]=grey_img
    else:
        ground_square=grey_img

    return ground_square.astype(np.uint8)
In [46]:
model_s2.load_weights("../model_0.3478.h5")
In [47]:
batch=512
n_val = round(len(data_val))//batch
fullValGen =generator(data_val,batch)
lastFullValPred = np.empty((0, 1103))
lastFullValLabels = np.empty((0, 1103))
for i in tqdm(range(n_val+1)): 
    #print(i)
    im, lbl = next(fullValGen)
    scores = model_s2.predict(im)
    lastFullValPred = np.append(lastFullValPred, scores, axis=0)
    lastFullValLabels = np.append(lastFullValLabels, lbl, axis=0)
print(lastFullValPred.shape, lastFullValLabels.shape)
100%|██████████| 65/65 [06:55<00:00,  6.30s/it]
(33280, 1103) (33280, 1103)

In [48]:
best_thr, best_score = find_best_fixed_threshold(lastFullValPred, lastFullValLabels, do_plot=False)
print("best_thr={}, best_score={}".format(best_thr, best_score))
100%|██████████| 50/50 [00:47<00:00,  1.00s/it]
thr=0.060 F2=0.400
best_thr=0.06, best_score=0.3996818735778147

In [49]:
from tqdm import tqdm
submit = pd.read_csv('../input/imet-2019-fgvc6/sample_submission.csv')
result_predict=[]
for i, name in tqdm(enumerate(submit['id'])):
    image = creat_square_test(name)
    image = resize(image)
    score_predict = model_s2.predict(image[np.newaxis]/255)
    # print(score_predict)
    label_predict = np.arange(1103)[score_predict[0]>=best_thr]
    print("label_predict:",label_predict)
    str_predict_label = ' '.join(str(l) for l in label_predict)
    result_predict.append(str_predict_label)
6it [00:00,  7.45it/s]
label_predict: [ 121  369  587  634  766 1059]
label_predict: [ 121  369 1034 1039]
label_predict: [  79  147  189  369  498  813  961 1092]
label_predict: [  13   51  111  147  189  483  573  738  776  813  830 1046 1092]
label_predict: [  51  147  156  189  369  477  612  671  780  813 1092]
label_predict: [  13  405  896  903 1092]
label_predict: [  13  194  477  655  671  813 1092]
label_predict: [  13   51  147  189  335  813 1092]
16it [00:00, 12.92it/s]
label_predict: [  13   51  147  189 1059]
label_predict: [  51  147  189  552  597  671  780  813 1092]
label_predict: [ 147  189  259  418  541  663  800  813  835 1046 1092]
label_predict: [ 121  147  189  464  493  552  840 1039 1059]
label_predict: [ 147  156  189  418  541  542  579  753  796  813  949 1072 1092]
label_predict: [  79  147  194  477  552  639  671  780  950 1034 1035]
label_predict: [ 111  147  189  738  813 1046 1092]
label_predict: [  51  111  147  156  189  212  283  515  554  584  671  746  780 1059]
label_predict: [ 51 147 188 189 369 597 612 671 744 813 903]
label_predict: [  79   99  121  182  189  369  420  754  813 1059]
26it [00:00, 20.30it/s]
label_predict: [  51  147  180  188  733  744  803  813 1092 1099]
label_predict: [  13   14   51  147  552  626  716 1056]
label_predict: [ 147  188  189  552  671  780 1034 1035]
label_predict: [  79   99  498  813  961 1092]
label_predict: [147 156 189 477 485 603 607 671 780]
label_predict: [  51   79  147  156  188  477  489  612  671  738  780  813 1046 1059
 1062 1092]
label_predict: [ 79 147 194 369 671 813]
label_predict: [  51  147  189  671  813 1046 1092]
label_predict: [ 111  147  189  738  776  813 1046 1092]
36it [00:00, 28.64it/s]
label_predict: [147 156 189 477 485 603 671 695 780 835]
label_predict: [ 147  813  896 1092]
label_predict: [  51  147  189  554  744  813  896  903 1092]
label_predict: [  51   79  111  147  156  227  322  339  393  477  489  584  612  671
  738  780  813  954 1030 1046 1059 1092]
label_predict: [ 111  147  189  259  418  541  813  949 1046 1092]
label_predict: [ 147  369  436  552  671  780 1019]
label_predict: [  51  147  189  813  896  903 1092]
label_predict: [  51   79  147  156  189  369  671  780 1059]
label_predict: [ 111  147  189  483  738  776  813 1046 1092]
label_predict: [  51  147  189  813 1092]
46it [00:01, 35.25it/s]
label_predict: [  13   51  147  189  335  813 1092]
label_predict: [ 147  188  744  813 1092]
label_predict: [  79  147  671  813  896  903 1092]
label_predict: [  51  121  147  718  813 1092]
label_predict: [  51   79  147  189  671  738  776  780 1046]
label_predict: [ 161  194  204  304  487  718  813 1059]
label_predict: [ 13 369 493 634 754 840]
label_predict: [121 147 189 430 434 501 545 559]
label_predict: [ 147  813 1092]
label_predict: [  79   99  121  489 1059]
51it [00:01, 35.71it/s]
label_predict: [  13   51  147  480  483  737  738  776  813  975 1046 1092]
label_predict: [ 147  194  477  671  744  780  813 1046 1092 1099]
label_predict: [ 121  147  189  335  369  433  436  813 1059 1092]
label_predict: [ 131  147  189  378  671  768  780 1034]
label_predict: [  51  147  189  477  671  780  813 1046 1092]
label_predict: [121 304 415 464 872]
label_predict: [  99  121  433 1059]
label_predict: [  79  147  194  489  612  671  744  813 1059]
61it [00:01, 36.27it/s]
label_predict: [  13   79  147  189  813  903 1092]
label_predict: [ 121  433 1039 1059]
label_predict: [  13   51  147  189  552  612  671  744  780  813  903 1092]
label_predict: [ 147  189  373  597  671  768 1034 1035]
label_predict: [  13   14   51  147  552  626  671  780 1056]
label_predict: [  13   51  147  813  896 1092]
label_predict: [  51  111  147  189  671  738  776  813  835 1046 1092]
label_predict: [  99  125  161  304  718 1059]
71it [00:01, 36.82it/s]
label_predict: [  79  147  156  189  194  487  671  738  780  813 1059 1062]
label_predict: [  13  477  554  670  693  729  746  755  813  896 1092]
label_predict: [  51  147  156  189  813 1092]
label_predict: [ 483  494  501  737  738  776  813  830  923  931 1033 1046]
label_predict: [  79  184  188  313  487  758 1059 1062]
label_predict: [ 147  189  418  813 1046 1092]
label_predict: [  79  147  189  671  780  813 1034 1035]
label_predict: [  79  116  121  133  189  239  289  415  464  487  624  650  681  684
  704  748  925  955 1034 1062]
76it [00:01, 38.69it/s]
label_predict: [  51  147  156  189  538  541  542  616  813  949  993 1092]
label_predict: [  51  147  189  744  813  896 1092]
label_predict: [ 13  51 147 552 671 780]
label_predict: [ 127  223  245  289  300  344  368  369  436  587  766 1039 1059 1084]
label_predict: [  79  147  188  189  369  518  671  780 1034 1035]
label_predict: [ 121  231  313  369  754  962 1039]
label_predict: [ 147  813 1046 1059 1092]
label_predict: [  79  147  188  189  671  780 1034 1035]
label_predict: [121 147 415 552 624 671 682 684 724 738 872 925]
86it [00:02, 40.25it/s]
label_predict: [  70  147  189  259  418  541  663  796  800  813  835  949 1072 1092]
label_predict: [ 147  156  189  332  418  541  542  813  949 1072 1092]
label_predict: [ 188  282  489 1059]
label_predict: [  79  147  189  369  813 1059]
label_predict: [  79  184  194  489  671 1059]
label_predict: [ 111  147  156  189  259  418  541  542  813  949 1092]
label_predict: [  51  121  147  189  434  813 1092]
label_predict: [ 121  433  724  955  962 1023]
label_predict: [  51  111  147  480  483  573  725  737  738  776  813  830  923 1046]
96it [00:02, 41.18it/s]
label_predict: [  13   51  111  147  189  483  738  776  813 1046 1092]
label_predict: [ 147  156  189  259  418  541  542  796  813  896  949 1072 1092]
label_predict: [ 13  51 147 552 626 716]
label_predict: [  51  147  189  813  896  903 1092]
label_predict: [ 13 147 189 552 626 671 780]
label_predict: [ 147  156  189  259  418  541  542  579  813  949  993 1012 1020 1072
 1092]
label_predict: [  13   51  147  813 1092]
label_predict: [121 147 188 813]
label_predict: [121 432 724 738 962]
106it [00:02, 43.94it/s]
label_predict: [  79  147  156  189  487  498  813  961 1059 1062 1092]
label_predict: [  51   79  147  156  189  420  477  612  671  780  813 1046 1059 1062
 1092]
label_predict: [ 147  156  189  369  586  587  766  833 1020 1039 1059 1084]
label_predict: [ 147  189  194  369  477  671  780 1034]
label_predict: [  79  194  487  671  780 1059 1062]
label_predict: [  99  121  498  813  896  961 1092]
label_predict: [ 147  156  189  813  835 1092]
label_predict: [  13   14   51  147  552  626 1056]
label_predict: [  99  121  161  304  718  774 1059]
label_predict: [  13  813  896 1092]
116it [00:02, 45.14it/s]
label_predict: [ 147  156  189  418  541  542  796  813  896  949 1072 1092]
label_predict: [ 13  51 147 189 552 626 671 780]
label_predict: [  99  121  161  304  718  813  961 1059]
label_predict: [ 147  189  744  813  896  903 1092]
label_predict: [  25   51  147  156  161  189  283  584  671  813 1059 1062 1092]
label_predict: [ 147  813  896  903 1092]
label_predict: [  13   51  147 1022 1059]
label_predict: [  79  121  194  239  487  718  813  844  961 1059 1062]
label_predict: [  13   51  147  552  655  671  780  813 1092]
label_predict: [  79  194  487  671 1059 1062]
126it [00:03, 45.33it/s]
label_predict: [ 121  369 1059]
label_predict: [ 194  404  655  744  813 1020 1046 1092 1099]
label_predict: [ 147  188  189  813 1059 1092]
label_predict: [ 121  194  369 1059]
label_predict: [  13   51  147  156  532  813 1059 1092]
label_predict: [ 147  189  655  744  813  903 1092]
label_predict: [ 147  156  189  655  671  744  813 1092]
label_predict: [ 188  189  369  518  671  780 1034]
label_predict: [  51  147  189  430  434  501  559  738  813  931 1092]
136it [00:03, 42.75it/s]
label_predict: [ 121  420  813 1092]
label_predict: [121 415 684]
label_predict: [  99  161  217  236  304  718  774  813 1059 1061]
label_predict: [ 13  14 147 552 626 780]
label_predict: [  13   51  147  483  501  738  813 1046 1092]
label_predict: [ 147  156  189  259  418  541  542  579  813  949 1072 1092]
label_predict: [ 147  189  194  477  639  671  780 1034]
label_predict: [  79  147  189  194  671  780 1059]
label_predict: [ 147  156  189  541  813  835 1092]
141it [00:03, 38.62it/s]
label_predict: [ 184  369  766  833  884 1039]
label_predict: [ 156  189  300  369  587  766 1020 1059 1084]
label_predict: [  79  147  156  189  813 1092]
label_predict: [ 121  487  718  813 1039 1059]
label_predict: [  79  147  189  369  671 1059]
label_predict: [  79  147  188  189  597  639  671  780 1034 1035]
label_predict: [ 13 147 189 552 671 768 780]
label_predict: [ 99 313 420 738 962]
151it [00:03, 39.68it/s]
label_predict: [  51  147  156  189  744  813  835 1092]
label_predict: [  51  147  156  189  369  813 1059]
label_predict: [ 147  156  189  259  418  541  813  835  949 1072 1092]
label_predict: [ 147  156  189  477  485  744  813  835 1092]
label_predict: [ 147  156  161  189  813 1059 1092]
label_predict: [ 99 161 304 369 464 634 754 840 872]
label_predict: [  13   51  194  404  744  813 1092 1099]
label_predict: [ 147  156  189  259  418  541  542  579  813  949 1072 1092]
160it [00:03, 37.92it/s]
label_predict: [ 194  580  734  738  813 1046 1092 1099]
label_predict: [ 13  51 147 369 552 671 720]
label_predict: [  13  477  670  813 1092]
label_predict: [ 147  156  189  541  813 1092]
label_predict: [  79  161  487  738  813  961 1059 1062 1092]
label_predict: [ 147  189  194  477  671  780 1034]
label_predict: [ 131  147  189  552  671  768  780 1034]
label_predict: [  13   51  111  147  776  813 1046 1092]
164it [00:04, 35.75it/s]
label_predict: [  79  189  194  436 1059]
label_predict: [ 147  189  369  373  597  671  768  780 1034 1035]
label_predict: [ 147  156  189  813 1092]
label_predict: [ 188  369 1039 1059]
label_predict: [ 33 313 420 738 962]
label_predict: [  51  147  194  404  744  813 1092]
label_predict: [  51  147  189  813  903 1092]
label_predict: [ 147  156  189  259  418  541  542  800  813  835  949 1072 1092]
174it [00:04, 39.57it/s]
label_predict: [  51  147  189  744  813  896  903 1092]
label_predict: [ 147  188  189  304  612  671  774  813 1092]
label_predict: [  79  147  189  655  813 1092]
label_predict: [  99  121  192  304 1039]
label_predict: [ 147  189  718  813  896  903 1092]
label_predict: [ 121  188  231  369  464  507 1039 1059]
label_predict: [ 156  813 1059 1092]
label_predict: [  9  33  99 237 313 420 708 738 813 835 955 962]
label_predict: [ 184  369  493 1039 1059]
184it [00:04, 39.87it/s]
label_predict: [ 489 1059]
label_predict: [147 156 189 485 603 607 671 695 780]
label_predict: [ 147  189  554  744  813  896  903 1092]
label_predict: [121 415 684 704 724 813 961]
label_predict: [147 156 189 369 436 671 720 744 780 813]
label_predict: [  51  147  189  813  896 1092]
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label_predict: [  51   79  147  156  194  477  671  780 1059]
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label_predict: [   1   33  121  275  432  582  724 1023 1059]
label_predict: [  13  813  896 1092]
label_predict: [  51  147  156  189  515  813 1059 1062 1092]
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label_predict: [ 147  156  189  259  418  541  744  813  835 1092]
label_predict: [  13  147  189  813  872  896  903 1092]
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label_predict: [ 79 313 813 903 962]
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label_predict: [ 111  147  156  189  259  813  835 1046 1092]
label_predict: [  51   79  147  156  188  189  420  428  477  671  738  744  780  803
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label_predict: [  13  405  896  903 1092]
label_predict: [ 147  189  552  671  780 1034]
label_predict: [147 156 189 369 587 738 766]
label_predict: [  13  147  189  369  552  671  780 1034]
label_predict: [  79  194  369  671  780 1059]
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label_predict: [  79  147  156  189  477  597  671  768  780  813  835 1034 1092]
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label_predict: [ 147  189  639  671  780 1034 1035]
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label_predict: [  13  147  813  896  903 1092]
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label_predict: [  79  147  188  194  477  671  780  813 1046 1092 1099]
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label_predict: [ 147  189  420  738  744  813  835  962 1092]
label_predict: [ 147  188  189  671  813 1059 1092]
label_predict: [ 121  194  369 1039 1059]
label_predict: [  51  147  156  189  744  813  896  903 1092]
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247it [00:06, 39.32it/s]
label_predict: [127 147 188 369 493 496 552 675 716 754]
label_predict: [  79  147  156  189  671  780  813 1092]
label_predict: [ 111  147  189  430  434  480  483  501  545  548  559  580  737  738
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label_predict: [ 13 147 189 552]
label_predict: [  99  188  304  487  489 1059]
label_predict: [ 147  156  189  744  813  896 1092]
label_predict: [ 147  156  189  369  671  744  813 1019 1059 1092]
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label_predict: [  51  147  304  744  813  903 1059]
label_predict: [121 147 161 304 634 744 813 872 903]
label_predict: [  13  194  483  776  830 1034 1046]
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label_predict: [  51  147  189  813 1092]
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label_predict: [ 121  188  369  487 1039 1059]
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label_predict: [ 147  189  194  597  671  780 1034]
label_predict: [  51  147  189  813 1092]
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label_predict: [ 147  189  477  671  780 1034 1035]
label_predict: [ 156  180  188  189  428  485  615  744  750  803  813 1099]
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label_predict: [  51  111  147  189  420  483  573  733  737  738  776  813 1046 1092]
label_predict: [  25  161  189  420  534  734  813  835  974 1059 1092]
label_predict: [ 121  147  184  189  369  555  587  833  884 1020 1039 1059]
label_predict: [  51  111  147  156  189  733  813  835 1092]
label_predict: [  79  147  189  194  671  813 1092]
label_predict: [  51  147  156  189  259  418  541  542  813 1072 1092]
label_predict: [  79  369 1059 1061]
label_predict: [  51   79  147  189  369 1059]
label_predict: [121 369 464]
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label_predict: [ 13  51 147 156 369 671 780]
label_predict: [ 147  156  189  418  541  671  813  949 1046 1092]
label_predict: [ 147  189  671  780 1034]
label_predict: [  51  147  189  335  813  835 1092]
label_predict: [ 147  156  189  259  418  541  542  579  813  949 1072 1092]
label_predict: [ 79 121 189 369 438 813 961]
label_predict: [  99  161  304  718  744  813  903 1092]
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label_predict: [  13  111  147  480  483  494  501  512  545  737  738  776  813  923
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label_predict: [ 147  189  418  541  800  813  835  949 1092]
label_predict: [ 121  125  161  204  304  369  464  634  872  884 1039]
label_predict: [ 194  477  483  671  738  744  780  813 1046 1092 1099]
label_predict: [ 13  41 131 147 189 552 671 768 780]
label_predict: [ 131  147  189  552  671  768  780 1034]
label_predict: [  13   51  121  147  813 1046 1092]
293it [00:07, 34.29it/s]
label_predict: [  51   79  147  156  194  369  489  584  612  671  780 1030 1059]
label_predict: [ 188  369  563  566 1061 1099]
label_predict: [ 121  147  189  552  597  671 1034]
label_predict: [ 13  14  51 147 552 626 671 780]
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label_predict: [ 147  738  776  813  830 1046 1092]
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label_predict: [  51   79  147  189  477  597  639  671  780  813  950 1034 1035 1092]
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311it [00:07, 39.14it/s]
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label_predict: [  13   51  147  189  671  780 1059]
label_predict: [121 161 204 304 464 634 872]
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label_predict: [ 369 1034]
321it [00:08, 39.60it/s]
label_predict: [  51  147  156  189  194  477  489  612  671  780  813  978 1059 1092]
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label_predict: [  51  111  147  189  813 1046 1092]
label_predict: [  13   51  111  147  189  483  501  738  813 1046 1092]
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label_predict: [ 33  99 313 420 738 813 835 962]
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label_predict: [  13   51  147  189  430  434  501  508  559  615  744  747  813 1089
 1092]
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label_predict: [  51   76  147  156  189  212  339  671  780  813  961 1059 1062 1092]
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label_predict: [121 147 415 485 552 624 671 682 684 724 738 748 754 844 872 925 955 961]
label_predict: [  51  147  189  671  780  813 1092]
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label_predict: [  13  121  433 1039 1059]
label_predict: [ 13 121 147 433 436 552 626 671 720 780]
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label_predict: [  79  121  147  156  189  482  498  813 1059 1092]
label_predict: [  13   51  147  744  813  896  903 1092]
label_predict: [  51  147  156  189  420  477  671  780  813  835 1046 1092]
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label_predict: [  51   79  147  156  671  780 1059]
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label_predict: [  79  147  156  194  477  489  584  612  671  738  780 1046 1059 1062]
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365it [00:09, 32.13it/s]
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label_predict: [ 13  51 121 147 189 433 552 671 780]
label_predict: [  13  405  776  830  896 1046 1092]
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369it [00:09, 30.85it/s]
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label_predict: [ 111  147  189  483  738  776  813 1046 1092]
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385it [00:10, 31.66it/s]
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label_predict: [182 464 493 634 754 840 872 922]
label_predict: [  13  147  156  189  813  896 1092]
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389it [00:10, 32.29it/s]
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label_predict: [  9  33  99 313 420 738 813 835 962]
label_predict: [ 147  156  189  259  541  813 1092]
label_predict: [  13  147  188  671  813 1092]
label_predict: [ 51 121 147 552]
397it [00:10, 29.05it/s]
label_predict: [  70  111  147  189  259  418  420  462  538  616  733  734  738  800
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label_predict: [  13  813  896 1092]
label_predict: [ 147  189  671  744  780  813 1092]
label_predict: [ 147  189  434  738  813 1046 1092]
label_predict: [ 51 147 189 430 434 501 554 559 615 666]
label_predict: [ 121  433  724 1039 1059]
401it [00:10, 29.48it/s]
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label_predict: [121 147 189 434 597 724]
label_predict: [  13   14   51  147  552  626 1056]
label_predict: [ 111  147  156  189  259  420  541  733  734  813  835  993 1046 1092]
label_predict: [ 121  884 1039]
label_predict: [  79  147  189  477  552  671  768  780 1034 1035]
408it [00:10, 29.34it/s]
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label_predict: [ 13 147 552 626]
label_predict: [ 111  147  189  813 1046 1092]
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label_predict: [  13  147  813  896 1092]
label_predict: [ 79 147 189 194 612 744 813 903]
416it [00:11, 30.13it/s]
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label_predict: [  13  147  813 1046 1092]
label_predict: [  51  147  189  813  835 1092]
label_predict: [  79  194 1059]
label_predict: [313 420 962]
label_predict: [  13   51  147  189  744  813  896  903 1092]
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424it [00:11, 30.93it/s]
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label_predict: [  18   25   61  161  331  489  584  758  813 1059 1062]
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428it [00:11, 29.43it/s]
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label_predict: [  51  111  147  189  420  480  483  733  737  738  776  813 1046 1092]
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label_predict: [ 147  156  189  259  420  541  733  813  835  993 1092]
label_predict: [  79  147  156  189  813 1092]
label_predict: [  51  147  156  189  744  813  835 1092]
434it [00:11, 28.21it/s]
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label_predict: [ 189  498  718  813 1092]
label_predict: [ 111  147  156  189  259  420  733  738  776  813 1046 1092]
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label_predict: [  51  147  189  616  744  747  813  952  993 1092 1093]
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441it [00:11, 29.98it/s]
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label_predict: [  79  194  487  584  671 1059 1062]
label_predict: [ 147  813  896 1092]
label_predict: [  18   61   99  125  161  304  331  487  489  584  718  758  813 1059]
label_predict: [  13   51  111  147  189  813 1046 1092]
label_predict: [  79  194  369  489  584 1059]
label_predict: [  25  161  194  420  477  534  584  611  733  734  797  813  844  897
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449it [00:12, 29.23it/s]
label_predict: [  99  121  498  813  961 1059 1092]
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label_predict: [  79   99  121  813  961 1059]
label_predict: [  51  147  813 1046 1092]
label_predict: [  79  147  156  189  498  813  961 1059 1092]
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455it [00:12, 28.19it/s]
label_predict: [ 147  156  189  259  418  541  542  813  835 1092]
label_predict: [  79  194  420  489  671 1059]
label_predict: [  13   51   79  111  147  480  483  553  573  725  737  738  776  813
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label_predict: [ 147  189  639  671  780 1034 1035]
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label_predict: [ 13  51 147 189 552 671 780]
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label_predict: [  79  147  189  671  780  813 1059]
461it [00:12, 25.49it/s]
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label_predict: [ 13 121 147 433 552 671 724 768 780]
467it [00:13, 20.82it/s]
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label_predict: [ 180  188  733  803  813 1092 1099]
label_predict: [  25  161  584  758  813 1059 1062 1092]
label_predict: [  51  194  404  744  813 1020 1092 1099]
label_predict: [  13   51  147  813 1092]
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label_predict: [  51  147  189  813 1092]
label_predict: [  79  147  156  188  189  671  780  813 1034 1035]
label_predict: [ 121  498  718  813  961 1092]
label_predict: [  13   51  147  189  813  896 1092]
479it [00:13, 24.14it/s]
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label_predict: [  79  121  182  194  754 1039 1059]
label_predict: [ 188  194  369  489  813 1059]
label_predict: [  13   14   51  147  552  626 1056]
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label_predict: [ 51 147 189 430 434 559 615 813]
485it [00:13, 24.34it/s]
label_predict: [  13  147  813  896  903 1092]
label_predict: [ 161  204  217  236  304 1061]
label_predict: [  13   51  147  189  738  776  813 1046 1092]
label_predict: [ 13 369 655 665 813]
label_predict: [  51   79  147  156  189  671  813 1059 1062 1092]
491it [00:14, 24.38it/s]
label_predict: [ 121  147  189  450  558  744  813  903 1092]
label_predict: [ 121  369  489  774 1059 1061]
label_predict: [  99  147  189  304  498  718  813  961 1092]
label_predict: [  51  147  156  189  369  498  671  813 1059 1092]
label_predict: [ 147  189  259  813  835 1046 1092]
label_predict: [  51  147  189  671  780  813 1092]
497it [00:14, 25.22it/s]
label_predict: [ 35 147 313 420 738 813 962]
label_predict: [ 147  189  813  835 1092]
label_predict: [ 121  147  558  744  813  903 1092]
label_predict: [  13  477  670  813 1092]
label_predict: [  51  147  156  189  671  813 1059 1092]
label_predict: [  99  161  236  304  331  718  774  813 1061]
503it [00:14, 26.10it/s]
label_predict: [  51  147  189  813 1092]
label_predict: [  79  231  282  487  489 1039 1059]
label_predict: [ 194  369  671  780 1034 1046 1059 1098]
label_predict: [ 121  369 1039 1059]
label_predict: [ 121  194 1039]
label_predict: [ 147  156  189  335  671  744  813 1092]
506it [00:14, 24.23it/s]
label_predict: [  13   51  147  189  718  744  813  896  903 1092]
label_predict: [ 147  189  552  671  768  780 1034]
label_predict: [  13   51  147  189  813  903 1092]
label_predict: [ 131  147  189  477  639  671  780 1034]
label_predict: [  99  121  498  718  813  896  961 1092]
512it [00:14, 23.56it/s]
label_predict: [  51  147  189  813 1092]
label_predict: [  51  147  156  189  212  369  671 1059]
label_predict: [  51  147  156  189  813 1059 1062]
label_predict: [  79  147  156  194  477  671  780  813 1046 1092]
label_predict: [ 121  147  188  189  597  671  813 1092]
518it [00:15, 25.91it/s]
label_predict: [  51  147  156  189  671  813 1059]
label_predict: [147 156 189 485 671 780]
label_predict: [ 147  194  671  744  780  813 1046 1092 1099]
label_predict: [  33  121  256  420  432  582  724  738  955  962 1023]
label_predict: [  99  161  718  813  896 1092]
label_predict: [  79  184  194  489  962 1059]
524it [00:15, 26.80it/s]
label_predict: [ 434  724  813 1059 1092]
label_predict: [  79  147  156  227  322  369  477  489  612  671  780  954 1046]
label_predict: [  13   51  147  189  744  813  903 1092]
label_predict: [ 147  189  813 1092]
label_predict: [  51  147  156  189  227  477  612  671  780  813  961 1092]
label_predict: [  13  121  147  738 1046]
530it [00:15, 24.68it/s]
label_predict: [131 147 189 378 552 671 768 780]
label_predict: [  51  111  135  147  156  212  227  283  322  477  489  554  584  612
  671  746  780  954 1059]
label_predict: [ 194  671  738  813 1092]
label_predict: [ 131  147  189  378  552  671  768  780 1034]
label_predict: [  13  147  698  813  896  903 1092]
533it [00:15, 23.87it/s]
label_predict: [ 813 1046 1092]
label_predict: [  51  121 1059]
label_predict: [ 111  147  156  189  420  680  733  813  835  953 1092]
label_predict: [ 147  189  418  800  813  835  949 1092]
label_predict: [  99  121  161  304  718  813 1092]
540it [00:15, 27.10it/s]
label_predict: [  25  161  331  534  734  813  953  974 1059 1092]
label_predict: [  51   79  147  156  194  477  671  780  813 1059 1062 1092]
label_predict: [  13  147  369  813  872  896  903 1092]
label_predict: [  99  125  161  304 1039 1059]
label_predict: [  13  147  813 1046 1092]
label_predict: [ 147  189  194  671  780 1034]
546it [00:16, 24.42it/s]
label_predict: [  79  121  194  369 1039 1059]
label_predict: [  70  147  189  259  418  541  663  800  813  835  993 1092]
label_predict: [ 147  189  813  896  903 1092]
label_predict: [  13  121  127  464  552 1039]
label_predict: [  51  111  147  189  813 1092]
552it [00:16, 25.93it/s]
label_predict: [  99  121  125  161  192  304  495 1039]
label_predict: [ 121  188  369  428  563  566  582  615  724  950 1023 1034 1061 1099]
label_predict: [ 121  147  156  189  744  813  835 1059 1092]
label_predict: [ 147  156  189  259  418  541  542  813  835  949 1072 1092]
label_predict: [ 147  189  418  541  542  796  813  949 1072 1092]
label_predict: [  51  147  156  189  541  744  813 1092]
556it [00:16, 27.40it/s]
label_predict: [ 121  161  304  813  961 1092]
label_predict: [  13   51  111  147  420  480  483  501  573  725  737  738  776  813
  830  923 1046 1081]
label_predict: [ 121  188  189  369  428  558  582 1023 1034]
label_predict: [  51   79  147  189  813 1059]
label_predict: [  13  404  405  896 1092]
label_predict: [ 147  189  800  813 1092]
562it [00:16, 25.91it/s]
label_predict: [ 111  147  189  813  835 1092]
label_predict: [  51  147  194  671  780  813 1092]
label_predict: [  51  147  194  744  813 1046 1092]
label_predict: [ 147  156  189  259  418  541  542  813  835  949 1020 1072 1092]
label_predict: [  51  111  147  156  189  212  283  515  554  584  586  628  746  813
  889 1059]
label_predict: [ 194  483  737  738  744  776  813  830 1046 1092 1099]
568it [00:17, 24.61it/s]
label_predict: [ 121  304 1059]
label_predict: [  79  147  189  420  671  738  813  835 1059 1092]
label_predict: [ 147  156  418  541  542  796  813  949 1072 1092]
label_predict: [ 131  147  189  378  671  768  780 1034]
label_predict: [ 121  304  718  813  903 1092]
575it [00:17, 27.22it/s]
label_predict: [  51  147  189  813  835 1092]
label_predict: [ 111  147  156  189  483  501  737  738  776  813 1046 1092]
label_predict: [ 189  430  483  501  545  559  737  738  813  931 1046]
label_predict: [ 480  483  501  738  813  931 1046]
label_predict: [  51   79  147  188  671  738  813 1046 1059 1062]
label_predict: [  79  147  194  489  671  780 1059]
label_predict: [  13  147  189  501  519  738  813 1092]
579it [00:17, 28.04it/s]
label_predict: [ 51 147 156 189 477 485 603 671 780]
label_predict: [ 188  369 1039 1059]
label_predict: [  13  445  693  813  896  903 1092]
label_predict: [  51  147  156  189  212  369  515  671  780 1059]
label_predict: [  51  147  156  189  212  369  584  671  780  813 1059 1092]
label_predict: [  99  125  304  487  489  758 1059]
587it [00:17, 29.56it/s]
label_predict: [ 147  189  259  744  796  813  835  903 1092]
label_predict: [ 121  194  369 1039 1059]
label_predict: [  51   79  147  156  189  194  489  584  671  780 1059]
label_predict: [  51  147  189  813  896 1092]
label_predict: [ 147  156  189  259  418  541  663  796  800  813  835  949 1072 1092]
label_predict: [ 13  51 147 189 369 436 552 655 671 780 813]
label_predict: [ 813  896  961 1092]
594it [00:17, 29.76it/s]
label_predict: [  13   51  147  744  813  896  903 1092]
label_predict: [ 131  147  156  189  552  671  768  780 1034]
label_predict: [ 147  189  639  671  780 1034 1035]
label_predict: [ 111  147  483  737  738  776  813  830 1046 1092]
label_predict: [ 13  51 147]
label_predict: [ 111  147  156  189  259  541  813 1046 1092]
label_predict: [  79  147  156  189  671  813 1092]
601it [00:18, 29.34it/s]
label_predict: [  13  147  813  896  903 1092]
label_predict: [ 51 147 189 671 780]
label_predict: [ 121  280  369  489  563  582 1023 1059 1061 1099]
label_predict: [  79  121  194  844 1059]
label_predict: [ 147  156  189  259  418  541  663  709  796  800  813  835  858  949
 1072 1092]
label_predict: [  13  147  813  896 1092]
608it [00:18, 29.20it/s]
label_predict: [ 147  189  813  896 1092]
label_predict: [ 121  188  369  813 1034 1059]
label_predict: [  51  147  156  189  369  671  780  813 1059]
label_predict: [  51  147  189  434  738  813 1092]
label_predict: [  99  161  304  718  774  813  961 1092]
label_predict: [  79  147  156  189  487  813 1059 1092]
611it [00:18, 25.56it/s]
label_predict: [  51  135  147  156  189  322  369  477  554  612  671  780  954 1059]
label_predict: [147 189 597]
label_predict: [ 161  813 1059]
label_predict: [  51   79  147  156  189  194  227  477  489  584  612  671  780  954
 1059 1062]
label_predict: [ 147  189  744  813  896  903 1092]
618it [00:18, 27.67it/s]
label_predict: [ 13 121 147 433 552]
label_predict: [  99  121  304 1039]
label_predict: [ 147  156  189  813 1092]
label_predict: [147 189 552 671 768 780]
label_predict: [ 147  189  671  780 1034]
label_predict: [  79  147  156  188  487  671  780  813 1059 1062 1092]
625it [00:18, 28.78it/s]
label_predict: [  51  147  189  335  418  813  835 1092]
label_predict: [  13   51  147  189  813 1046 1092]
label_predict: [ 147  156  189  541  813  835 1092]
label_predict: [ 147  189  813  896 1092]
label_predict: [  79  147  189  813 1092]
label_predict: [  79  147  156  189  477  489  612  671  780  813 1059 1092]
label_predict: [ 147  813 1092]
633it [00:19, 29.64it/s]
label_predict: [  13  405  698  813  896 1092]
label_predict: [ 13  51 147 189 434 501]
label_predict: [ 147  156  189  813  835 1092]
label_predict: [ 13  51 147 369 552 626 716]
label_predict: [ 147  156  189  369  436 1059]
label_predict: [  51   99  161  236  304  489  584  774 1059]
label_predict: [ 194  477  655  671  744  780  813 1046 1092 1099]
637it [00:19, 30.78it/s]
label_predict: [  41   55  131  147  189  552  671  768  780 1034]
label_predict: [ 111  147  189  259  738  813  835 1046 1092]
label_predict: [  51   79  147  188  369  477  612  671  780  813 1046 1059]
label_predict: [  13  147  655  813 1046 1092]
label_predict: [  99  121  369  586  884 1039]
label_predict: [ 147  189  813 1092]
label_predict: [  79  147  156  189  194  671 1059]
label_predict: [ 147  156  189  369  436  671  720 1059]
645it [00:19, 30.80it/s]
label_predict: [  13  405  896  903 1092]
label_predict: [  99  304  718  813  896  961 1092]
label_predict: [ 147  189  813 1092]
label_predict: [ 13 477 671 780]
label_predict: [  13  147  189  813  962 1092]
653it [00:19, 30.34it/s]
label_predict: [  51  111  147  189  420  733  738  813  835 1046 1092]
label_predict: [ 369  586 1039]
label_predict: [  79  194  671  813 1059]
label_predict: [  13   51  147  698  716  813  896  903 1092]
label_predict: [  51  111  147  189  259  420  733  734  738  813  835 1046 1092]
label_predict: [  51  147  156  369  532 1022 1039 1059]
label_predict: [ 147  189  413  430  434  501  559  813  835 1092]
657it [00:20, 29.93it/s]
label_predict: [ 147  615  813  896 1092]
label_predict: [ 147  156  189  259  501  541  542  579  813  949 1092]
label_predict: [ 188  369  464  507  774 1039]
label_predict: [  51  147  189  813  896 1092]
label_predict: [  13  147  813  896 1092]
label_predict: [  13   51  147  483  738  776  813 1046 1092]
label_predict: [ 99 121 161 304 464 634 754 872 922]
665it [00:20, 32.57it/s]
label_predict: [  79  147  156  189  420  477  671  780  813  835 1059 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [  51  194  480  483  738  744  813 1046 1092]
label_predict: [  13  147  698  718  813  896  903 1092]
label_predict: [ 147  161  189  813  961 1092]
label_predict: [  79  194  487  624  671 1059 1062]
label_predict: [121 432 724 962]
label_predict: [ 147  189  800  813  835 1092]
673it [00:20, 34.33it/s]
label_predict: [  51  111  147  189  420  483  733  738  776  813 1046 1092]
label_predict: [  79  147  189  194  489  612  671  780  813 1092]
label_predict: [  13  121  147  480  483  501  737  738  776  813  975 1046]
label_predict: [  13  127  552  675  716  978 1039]
label_predict: [  13  147  189  744  813  896  903 1092]
label_predict: [ 147  189  477  671  744  780  813 1059]
label_predict: [  51   79  147  188  189  477  612  671  780 1059]
label_predict: [  99  161  304  718  813  896  961 1092]
682it [00:20, 35.76it/s]
label_predict: [131 147 189 671 768 780]
label_predict: [  13  420  477  537  813 1092]
label_predict: [  79  147  813 1059 1062]
label_predict: [ 51 147 156 189 369 612 671 744 780 813 903]
label_predict: [  79  147  156  189  194  671  813 1059]
label_predict: [  51   79  147  188  189  369  477  518  597  639  671  780  813 1034
 1035]
label_predict: [ 147  156  189  813  949 1084 1092]
label_predict: [  13  404  405  896  903 1092]
label_predict: [ 147  161  304  511  634  813  872  896  903  961 1092]
691it [00:20, 37.82it/s]
label_predict: [ 147  156  189  813  835 1092]
label_predict: [ 147  156  189  259  418  541  663  800  813  835 1092]
label_predict: [  13  147  189  813 1092]
label_predict: [ 147  156  189  259  813  993 1092]
label_predict: [ 147  156  189  541  813  949 1092]
label_predict: [  13  147  698  813  896 1092]
label_predict: [  13  420  477  519  537  655  670  733  734  755  813 1092]
label_predict: [  99  121  304  487 1059]
label_predict: [  51   79   99  161  304 1059]
701it [00:21, 41.58it/s]
label_predict: [  13  188 1039 1059]
label_predict: [  51  111  147  189  420  483  737  738  776  813  830 1046 1092]
label_predict: [  51  147  813 1046 1092]
label_predict: [  13   51  147  430  434  501  545  559  738  747  813 1092]
label_predict: [  51   99  161  304  813 1059]
label_predict: [  51   99  161  304  498  718  813  961 1092]
label_predict: [ 121  369 1039 1059]
label_predict: [  13  194  404  477  671  813  888  896 1092]
label_predict: [  13   51  147  189  813 1092]
711it [00:21, 42.45it/s]
label_predict: [  79  194  477  487  671  780 1059 1062]
label_predict: [  51  147  189  744  813  896 1092]
label_predict: [  79  147  189  369  436  552  671  780  925 1059]
label_predict: [  79   99  194  813 1059 1092]
label_predict: [ 121  369 1039 1059]
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label_predict: [  99  121  718  813 1092]
label_predict: [  51   79  147  156  194  227  369  477  584  612  671  780  813  954
 1046 1059 1062 1092]
label_predict: [  13  369  438 1039]
716it [00:21, 41.94it/s]
label_predict: [  13  147  156  501  738  813 1092]
label_predict: [  51  111  147  189  813 1046 1092]
label_predict: [  79  147  156  189  420  477  612  671  780  813 1046 1059 1092]
label_predict: [  13  147  189  813  896  903 1092]
label_predict: [147 156 189 485 603 671 780 835]
label_predict: [304 313 464 813 872 903 962]
label_predict: [  51  147  189  671  738  813 1046 1092]
label_predict: [  13  147  369  436  552  720 1059]
726it [00:21, 32.82it/s]
label_predict: [ 121  147  189  373  597  671  768 1034 1035]
label_predict: [ 147  156  189  541  813 1092]
label_predict: [  99  121  884 1039]
label_predict: [  13  147  554  744  813  896  903 1092]
label_predict: [ 194  477  480  483  494  725  737  738  744  776  813  826  830  923
 1046]
label_predict: [ 121 1059]
label_predict: [ 147  156  189  477  485  603  607  671  780  835 1069]
label_predict: [  79  194  487  671  813 1059 1062]
label_predict: [  79  121  194  813  961 1059 1092]
label_predict: [  99  161  236  304  331  489  584  758  774 1059]
736it [00:22, 37.48it/s]
label_predict: [  99  121  482  497  498  718  813  961 1092]
label_predict: [  51  147  189  552  639  671  780  950 1034 1035]
label_predict: [  79  147  156  194  671  780  813 1059 1062 1092]
label_predict: [  51  147  156  189  541  813 1092]
label_predict: [  51   79  147  156  189  436  813 1059 1092]
label_predict: [  79  147  189  477  671  780 1034 1035]
label_predict: [147 369 552 671]
label_predict: [  51   79  147  156  189  477  671  780  813 1046 1059 1062 1092]
label_predict: [ 121  147  776  813 1046]
746it [00:22, 41.20it/s]
label_predict: [ 147  189  718  813 1092]
label_predict: [ 121  147  188  189 1034]
label_predict: [  79  147  156  194  487  671  780  813 1059 1062]
label_predict: [ 194  369  436  813 1059]
label_predict: [ 161  194  304  487  758 1059 1062]
label_predict: [  51  147  189  552  597  639  671  780  950 1034]
label_predict: [  99  161  304  718  813 1092]
label_predict: [ 147  189  813  835 1046 1092]
label_predict: [  79  188  194  518  639  671  780 1034 1035 1059]
label_predict: [  13   51  147  744  813  896  903 1092]
756it [00:22, 41.09it/s]
label_predict: [  13   51  147  189  813 1092]
label_predict: [  99  121  498  813  961 1092]
label_predict: [  51  147  189  335  813 1046 1092]
label_predict: [ 127  147  189  369  552  671  780 1034]
label_predict: [ 147  156  189  259  418  541  813  835 1092]
label_predict: [  13  147  189  655  671  813 1092]
label_predict: [  13   51  111  147  189  420  480  483  501  733  737  738  776  813
 1046 1092]
label_predict: [  51  147  189  744  813  896  903 1092]
label_predict: [  79  184  194  489  584 1059]
766it [00:22, 42.59it/s]
label_predict: [  79  147  369 1059]
label_predict: [188 189 304 369 507 774 813 903]
label_predict: [  79  188  189  369  487  671 1059]
label_predict: [  79  121  147  189  498  813  961 1092]
label_predict: [121 147 182 189 558 744 754]
label_predict: [  51  147  156  188  189  477  612  671  780  813 1046 1092]
label_predict: [ 58 147 188 189 369 420 477 558 597 612 671 744 780 813 835 903]
label_predict: [ 194  404  655  671  744  813 1020 1092]
label_predict: [  13  404  405  896  903 1092]
776it [00:23, 44.18it/s]
label_predict: [  13   51  111  147  189  813 1046 1092]
label_predict: [  99  147  718  813  896 1092]
label_predict: [ 147  776  813 1046]
label_predict: [ 33  99 420 738 813 835 955 962]
label_predict: [ 147  156  189  744  813  896  903 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [ 147  189  418  541  738  813  835  949 1072 1092]
label_predict: [  79  194  369  813 1059]
label_predict: [  51  147  189  413  430  434  501  559  615  621  622  738  747  813
  871  882 1001 1089 1092]
label_predict: [  13  655  734  755  813  896 1092]
786it [00:23, 43.15it/s]
label_predict: [ 147  189  541  542  813  949 1092]
label_predict: [  79  147  189  671  780 1059]
label_predict: [  51  147  189  813 1092]
label_predict: [ 156  171  189  245  300  337  355  368  369  587  726  766 1020 1059
 1084]
label_predict: [  79  147  156  189  813  961 1059 1092]
label_predict: [ 114  121  217  236  257  304  369 1061]
label_predict: [ 147  189  418  663  800  813  835 1092]
label_predict: [ 121  158  184  304  313  415  464  872  962 1039]
label_predict: [ 121  369  586  833  884 1039]
796it [00:23, 44.65it/s]
label_predict: [  51  147  156  189  212  283  515  554  584  628  671  746  813 1059
 1062 1092]
label_predict: [  99  161  304  718  813  896  961 1092]
label_predict: [  13  405  813  896 1092]
label_predict: [ 147  156  189  541  813 1092]
label_predict: [  13  147  189  813 1092]
label_predict: [  51  147  189  671  780  813 1092]
label_predict: [ 369  754 1059]
label_predict: [  13   14   51  147  552  626  671  780 1056]
label_predict: [ 121  184  313  369  962 1039 1059]
label_predict: [  51  147  189  744  813  903 1092]
806it [00:23, 45.80it/s]
label_predict: [ 121  415  464  487  684  724  735  955 1026]
label_predict: [ 147  156  189  813 1092]
label_predict: [  99  121  161  304  487  489 1059]
label_predict: [  51  147  188  189  369  552  671  780 1034]
label_predict: [ 147  188  189  552  597  671  780 1034]
label_predict: [ 147  189  671  780  813 1034 1035]
label_predict: [  51  147  156  189  369  477  671  744  780  813 1059]
label_predict: [ 483  501  519  737  738  813  931  993 1046 1092]
label_predict: [  13  121  147  813 1059 1092]
label_predict: [  99  121  161  498  718  813  961 1059 1092]
816it [00:23, 46.34it/s]
label_predict: [ 147  369  477  612  671  744  813 1059]
label_predict: [ 147  156  189  369  436  671 1059]
label_predict: [ 147  480  483  501  737  738  776  813  931 1046]
label_predict: [  13   51  147  189  813 1092]
label_predict: [147 161 189 204 304 450 813 872]
label_predict: [ 13 121 369 433 552 813]
label_predict: [ 33  99 313 420 738 835 962]
label_predict: [ 156  189  300  369  554  587  726  766  994 1020 1084]
label_predict: [  13  404  405  896  903 1092]
label_predict: [ 121  304 1059]
821it [00:24, 46.64it/s]
label_predict: [ 13  14 147 552 626 671 780]
label_predict: [  13   14  147  552  626 1056]
label_predict: [ 147  189  813  896 1092]
label_predict: [  13   51  147  813  896 1092]
label_predict: [ 147  156  189  259  541  733  800  813  835  953  993 1092]
label_predict: [  79  147  188  189  552  597  671  768  780 1034 1035]
label_predict: [  13  147  189  813  896  903 1092]
label_predict: [ 161  236  304  813  962 1092]
label_predict: [ 147  189  813 1092]
832it [00:24, 46.12it/s]
label_predict: [ 483  494  676  725  737  738  776  813  830  923  924 1046 1081]
label_predict: [  51  147  189 1059]
label_predict: [  13   51  147  744  813  896  903 1092]
label_predict: [ 147  501  545  738  813  931 1046 1092]
label_predict: [  33  121  432  433  582  724  962 1023]
label_predict: [  51  147  156  189  212  369  671  780 1059]
label_predict: [  25   99  116  161  304  331  487  758  813  961 1059 1092]
label_predict: [ 33 121 420 738 813 835 962]
label_predict: [121 125 161 304 464 495 634 872 922 955]
label_predict: [ 147  189  813 1092]
label_predict: [ 147  189  498  813  961 1092]
843it [00:24, 47.91it/s]
label_predict: [  51  147  189  671  744  813 1059 1092]
label_predict: [  51   79  147  156  189  813 1059 1092]
label_predict: [  51  147  189  335  813  896 1092]
label_predict: [ 147  189  813 1046 1092]
label_predict: [ 188  189  194  369  671  780 1034]
label_predict: [ 13  14  51 147 552 626 671 716 780]
label_predict: [  51   79  147  189  369  813 1059]
label_predict: [  79  147  156  194  227  339  487  584  671  780  813  961 1059 1062
 1092]
label_predict: [  79  194  420  489  584  671  813 1059]
label_predict: [ 121  194  718  813 1059 1092]
853it [00:24, 47.34it/s]
label_predict: [  51  111  147  189  738  776  813 1046 1092]
label_predict: [  79  182  194  754  922 1059]
label_predict: [  51  147  189  744  813  896 1092]
label_predict: [ 147  189  718  813  896 1092]
label_predict: [  51  147  189  744  813  896 1092]
label_predict: [  51   79  147  189  194  477  612  671  780  813 1046 1059 1092]
label_predict: [  51  147  189  813  896  903 1092]
label_predict: [  13  147  189  813  896 1092]
label_predict: [  13  147  189  813 1046 1092]
label_predict: [ 147  194  813 1092]
863it [00:24, 45.77it/s]
label_predict: [ 420  432  738  813  962 1092]
label_predict: [147 369 436 671 744 780 813]
label_predict: [ 147  156  369  586  587  766  884 1020 1039 1059]
label_predict: [  79  147  156  194  671  813  961 1059 1092]
label_predict: [ 147  156  189  420  680  813  835 1092]
label_predict: [  79  121  304  487  671 1059 1062]
label_predict: [ 147  189  744  813  896  903 1092]
label_predict: [   1   33  420  582 1023]
label_predict: [  13   51  147  477  671  738  813 1046 1092]
873it [00:25, 46.13it/s]
label_predict: [ 147  189  813 1092]
label_predict: [ 99 121 420 433]
label_predict: [ 111  147  189  259  733  734  813  835  993 1046 1092]
label_predict: [147 156 189 477 485 603 607 671 695 780]
label_predict: [ 161  304  813 1059]
label_predict: [ 147  189  813  896 1092]
label_predict: [  79  194  487  671  718 1059 1062]
label_predict: [  51   79  147  156  189  813  961 1092]
label_predict: [  51  147  189  813 1059 1092]
label_predict: [ 147  156  189  744  813  835 1092]
883it [00:25, 46.96it/s]
label_predict: [ 13  51 147 552 671 780 813]
label_predict: [  51  147  189  813  835 1092]
label_predict: [ 188  487  647  671 1059 1062]
label_predict: [  51  111  147  189  738  776  813 1046 1092]
label_predict: [  51   79  147  189  671  813 1059]
label_predict: [  13   14  147  552  626  671  780 1056]
label_predict: [  79  121  194  482  487  498  813  961 1059 1062]
label_predict: [  13  147  813  896  903 1092]
label_predict: [ 147  156  189  541  813  949 1092]
888it [00:25, 44.74it/s]
label_predict: [313 420 738 962]
label_predict: [ 13  41  51 147 552 671 768 780]
label_predict: [  13  147  156  227  671  780  813  872  896  961 1092]
label_predict: [ 13  41  51 131 147 552 626 671 768 780]
label_predict: [  79  147  189  813 1059 1062]
label_predict: [  51  147  156  189  612  655  671  744  780  813  903 1046 1092]
label_predict: [  51  147  189  434  501  559  615 1022]
label_predict: [ 99 161 236 304 813 962]
898it [00:25, 41.06it/s]
label_predict: [  79  147  189  597  671  768  780 1034 1035]
label_predict: [  79  194  404  671  813  896 1092]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [  79  147  188  189  552  671  780 1034]
label_predict: [  51  147  156  189  420  477  744  813  835  903 1059 1092]
label_predict: [121 194 239 420 813 844]
label_predict: [  79  147  189  671  780 1034 1035]
908it [00:26, 38.57it/s]
label_predict: [  51  147  156  189  477  612  671  780  813 1046 1059 1092]
label_predict: [  79  147  188  189  477  597  612  671  780  813 1092]
label_predict: [ 13  41  55 131 147 189 552 626 671 768 780]
label_predict: [  79  156  194  487  584  671  780  813 1059 1062 1092]
label_predict: [ 13 552]
label_predict: [  51  147  188  428  671  744  803  813 1092 1099]
label_predict: [ 121  182  369  464  754  872 1039 1059]
label_predict: [  51  111  147  189  259  738  776  813 1046 1092]
label_predict: [ 121 1039]
917it [00:26, 38.96it/s]
label_predict: [ 13  51 147 552 626 671 780]
label_predict: [147 189 194 369 671 813]
label_predict: [  13  147  776 1046]
label_predict: [121 189 438]
label_predict: [  79  147  189  477  671  780  813 1034 1092]
label_predict: [ 147  189  671  780 1034 1035]
label_predict: [ 127  245  300  344  368  369  587  766 1059 1084]
label_predict: [ 147  156  189  663  813  835 1092]
label_predict: [ 111  131  147  156  189  418  541  542  796  813  949 1046 1072 1092]
922it [00:26, 40.07it/s]
label_predict: [  51  147  156  744  813 1092]
label_predict: [  51  147  189  663  718  813  896  903 1092]
label_predict: [  51  147  188  189  597  671  780  813 1059 1092]
label_predict: [ 147  156  189  813  961 1092]
label_predict: [  13  147  188  369  671  813 1034 1092]
label_predict: [  51  111  147  189  483  737  738  776  813 1046 1092]
label_predict: [147 156 189 485 671 780]
label_predict: [  79  147  156  188  189  477  624  671  780 1059 1062]
label_predict: [  13  147  813  896  903 1092]
932it [00:26, 42.75it/s]
label_predict: [ 13 121 147 432 433 552 671 724 768 780]
label_predict: [  13   51  147  554  744  813  896  903 1092]
label_predict: [ 121  147  189  433  718  813 1092]
label_predict: [  79  147  156  189  487 1059 1062]
label_predict: [  13   51  147  420  477  733  744  756  813  952 1046 1092]
label_predict: [  13  147  698  813  896  903 1092]
label_predict: [121 161 304 813 961]
label_predict: [  13  147  813  896 1092]
label_predict: [147 738 962]
942it [00:26, 39.87it/s]
label_predict: [  51   79  147  156  189  369  477  671  780 1059]
label_predict: [  79  194  487 1059 1062]
label_predict: [ 147  189  813  896 1092]
label_predict: [ 147  189  194  813 1092]
label_predict: [  51   79  147  369  671  813 1059]
label_predict: [  51  147  189  813 1046 1092]
label_predict: [  13  477  670  813 1092]
label_predict: [   1   33  275  420  432  582  724  962 1023]
947it [00:26, 39.45it/s]
label_predict: [  51  147  189  430  434  501  559  738  813  835 1092]
label_predict: [  13  189  430  434  501  545  559  670  738  813 1092]
label_predict: [ 147  189  304  369  436  450  744 1059]
label_predict: [  79  121  369  450  744  813 1023 1059]
label_predict: [ 147  156  189  813 1059 1092]
label_predict: [  51  147  189  552  671  780  813 1092]
label_predict: [ 147  156  189  813 1092]
label_predict: [  79  121  194  813 1059]
957it [00:27, 39.28it/s]
label_predict: [  13   14   51  147  552  626  671  780 1056]
label_predict: [  13  147  189  813  896 1092]
label_predict: [ 147  189  813  993 1046 1092]
label_predict: [  99  161  718  813  961 1092]
label_predict: [  79  147  194  477  671  738  776  780  813 1046 1092]
label_predict: [ 147  189  744  813  896 1092]
label_predict: [  79  188  189  194  671  780 1059 1062]
label_predict: [121 304 415 464 872]
label_predict: [ 147  189  639  671  744  780  813  950 1034]
967it [00:27, 41.38it/s]
label_predict: [  13  483  776  813  830  896 1046 1092]
label_predict: [ 147  698  813  896 1092]
label_predict: [  13  813  896  903 1092]
label_predict: [  79  369  438  726 1039]
label_predict: [  51  147  189  738  813 1046 1092]
label_predict: [  51  111  147  156  189  477  612  671  780  813 1046 1092]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [  13   51  147  189  519  813 1092]
label_predict: [  13   79  147  776  813  830 1046 1092]
977it [00:27, 39.26it/s]
label_predict: [  51  147  189  813 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [  13   51  147  813  896  903 1092]
label_predict: [ 156  189  259  418  485  541  542  733  813  835  993 1020 1084 1092]
label_predict: [ 121  161  189  304  813  872 1092]
label_predict: [ 147  615  744  813  896 1092]
label_predict: [ 147  189  671  780 1034]
label_predict: [121 161 304 813]
982it [00:27, 37.97it/s]
label_predict: [  13  405  813  896 1092]
label_predict: [ 121  147  369  433 1034]
label_predict: [  51  147  156  369  587  766  833 1020 1039 1059]
label_predict: [ 147  189  477  639  671  780 1034 1035]
label_predict: [  13  147  189  744  813  896  903 1092]
label_predict: [  79  147  188  189  552  597  671  780 1034]
label_predict: [ 79 313 420 738 962]
label_predict: [  45  111  147  189  480  483  501  737  738  776  813  923 1046]
992it [00:28, 40.01it/s]
label_predict: [  79  147  194  671  780  813 1092]
label_predict: [  51   79  147  156  189  420  477  489  554  584  612  671  738  780
  813  835 1046 1059 1092]
label_predict: [  51   79  147  188  189  477  639  671  738  744  780  813  950 1034
 1035 1046 1092]
label_predict: [ 79 121 189 369 671 754]
label_predict: [ 194  404  655  738  744  813 1020 1046 1092 1099]
label_predict: [ 13  14  51 147 552 626 671 716 780]
label_predict: [  51  147  156  489  584  671 1059]
label_predict: [  51  147  189  776  813 1046 1092]
label_predict: [  13   51  147  194  744  813  952 1092]
label_predict: [  33  121  420  432  582  724  738  813  962 1023]
label_predict: [ 369  436  671  813 1019 1059]
1001it [00:28, 28.30it/s]
label_predict: [ 131  147  189  378  597  671  768  780 1034]
label_predict: [121 147 161 189 204 304 450 813]
label_predict: [ 13 147 189 552 626 671 780]
label_predict: [  51   79  147  188  189  194  477  552  639  671  780 1034 1059]
label_predict: [ 58 121 182 188 428 432 558 724 744 754 955]
label_predict: [ 483  737  738  776  813  830 1046]
label_predict: [  51  147  189  813  896  903 1092]
1010it [00:28, 32.64it/s]
label_predict: [  79  147  189  335  369  518  552  671  780  925 1034]
label_predict: [  79  121  182  194  754  813  844 1059]
label_predict: [  51  111  147  189  813  896 1092]
label_predict: [  79  147  194  487  671  813 1059]
label_predict: [  51   79  121  147 1059]
label_predict: [ 147  189  813 1092]
label_predict: [  79  147  156  189  498  813  961 1092]
label_predict: [  13   51  111  147  813 1046 1092]
label_predict: [  51  147  189  554  744  813  896  903 1092]
1019it [00:29, 35.04it/s]
label_predict: [ 194  483  738  744  776  813  830 1046 1092]
label_predict: [ 147  156  189  744  813  896 1092]
label_predict: [ 147  189  813 1092]
label_predict: [ 121  188  231  369 1039 1059]
label_predict: [ 147  189  813  835 1092]
label_predict: [  79  188 1059]
label_predict: [  13   51  147  813  896 1092]
label_predict: [  13   51  147  189  813 1092]
label_predict: [  99  161  304  487  758 1059]
1027it [00:29, 35.03it/s]
label_predict: [  79  147  156  194  489  584  671  780 1059]
label_predict: [  13  147  554  813  896 1092]
label_predict: [ 147  156  189  434  738  813 1092]
label_predict: [ 51 147 552 626 671 780 925]
label_predict: [  13   51  147  813 1046 1092]
label_predict: [147 156 369]
label_predict: [  99  121  161  304  634  754  922 1039 1059]
label_predict: [  13   51  147  189  813 1046 1092]
1036it [00:29, 38.03it/s]
label_predict: [ 147  189  413  430  434  501  545  559  621  622  649  738  813  871
 1092]
label_predict: [ 483  501  737  738  813  931 1046]
label_predict: [  51  147  189  813 1046 1092]
label_predict: [  99  125  147  161  304  331  813 1059]
label_predict: [ 147  156  194  671  738  813 1046 1092]
label_predict: [  51  147  156  189  322  554  612  671  744  746  780  813  903  954
 1092]
label_predict: [  99  125  161  304  487  489  584  758 1059]
label_predict: [  79  147  189  194  671  780  813 1046 1092]
label_predict: [ 615  813  896 1092]
1046it [00:29, 40.29it/s]
label_predict: [  51  147  156  189  813 1092]
label_predict: [  51   79  147  161  189  304  813 1059]
label_predict: [121 304 415 724 872 955]
label_predict: [  51  147  189  813  903 1092]
label_predict: [ 147  156  189  833 1020 1059]
label_predict: [  13   51  147  156  532  552  626  671  780 1059]
label_predict: [  51  147  156  189  369  489  584  612  671  780  954 1059]
label_predict: [ 147  156  189  259  418  541  542  796  800  813  940  949  993 1072
 1092]
label_predict: [  13   14  147  552  626 1056]
1056it [00:29, 41.00it/s]
label_predict: [  99  718  813  896 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [  79  188  194  671  744  780  813 1059 1092 1099]
label_predict: [ 13 182 189 552 671 780]
label_predict: [  79  194 1059]
label_predict: [ 147  189  313  612  744  813  903  962 1092]
label_predict: [  13   51  111  147  189  480  483  737  738  776  813  830  923 1046]
label_predict: [  51   79  147  156  189  227  584  612  671  780  813  954 1059]
label_predict: [  79  147  188  189  369  671  780 1059]
1066it [00:30, 43.35it/s]
label_predict: [  99  161  304  331  718  774  813 1092]
label_predict: [ 96 161 236 304 813 962]
label_predict: [ 147  156  189  418  541  671  813  835 1046 1092]
label_predict: [ 13  51 147 552 626 671 780]
label_predict: [  79  147  189  194  369  671  744  780  813 1059]
label_predict: [  51  147  156  189  369  436  720 1059]
label_predict: [  51  147  156  189  744  813 1059]
label_predict: [  79  147  156  189  369 1059]
label_predict: [ 147  156  189  259  418  541  542  813  835 1072 1092]
label_predict: [ 147  156  189  369  720 1059]
1071it [00:30, 44.39it/s]
label_predict: [ 13  14  51 147 552 626 671 780]
label_predict: [  51   79  147  156  189  671  744  813  903 1059 1092]
label_predict: [ 121  194  433  724  738  813 1059 1092]
label_predict: [  13   51  147  813  896 1092]
label_predict: [  51   79  147  156  671  813 1046 1059 1092]
label_predict: [  51  147  156  189  744  813 1092]
label_predict: [  13   51  147  335  501  738  813 1046 1092]
label_predict: [ 147  188  194  477  671  780  813 1034 1046]
label_predict: [ 51 138 147 156 189 322 369 477 554 612 671 780 954]
1081it [00:30, 43.70it/s]
label_predict: [  79  147  188  189  194  552  671  780 1034 1035]
label_predict: [  99  121  433  813 1059]
label_predict: [  95  121  161  304  369  415  464  634  809  813  872  955 1092]
label_predict: [  79  156  194  489  584  671  780 1059 1062]
label_predict: [147 189 369 420 496 813]
label_predict: [ 194  671  744  813 1046 1092]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [ 121  194 1039]
label_predict: [  13   51  147  189  430  434  480  483  501  545  559  737  738  813
  931 1046]
label_predict: [121 304 558 634 754 813 872]
1091it [00:30, 44.93it/s]
label_predict: [ 147  156  189  541  542  813  896  949 1092]
label_predict: [  13  405  896 1092]
label_predict: [ 147  156  189  259  420  733  734  738  800  813  835  993 1046 1092]
label_predict: [  51  147  156  189  212  283  477  554  612  671  744  813  889  903
 1059 1080]
label_predict: [  79  121  147  194  487  671  813 1059 1092]
label_predict: [ 147  813  896 1092]
label_predict: [  79  121  239  487  718  813  961 1059 1062]
label_predict: [147 189 485 603 671 695 768 780 999]
label_predict: [ 121  188  369  582  597  671 1023]
label_predict: [  13   51  147  189  501  738  813 1046 1092]
1101it [00:30, 46.67it/s]
label_predict: [121 415 464]
label_predict: [ 161  304  634  813  872 1059 1092]
label_predict: [  79  161  194  487  813 1059 1092]
label_predict: [  51  147  189  430  434  501  532  545  559  621  622  747  813 1089
 1092]
label_predict: [121 369]
label_predict: [  99  180  189  498  718  813 1092]
label_predict: [  51  147  156  189  212  283  369  671  780 1059]
label_predict: [ 121  184  304  313  438  464  872  962 1039]
label_predict: [121 415 724 955 962]
label_predict: [ 99 125 161 304 464 634 754 872 922]
1111it [00:31, 47.34it/s]
label_predict: [  51  147  156  189  515  671  780  813 1059 1062 1092]
label_predict: [ 161  498  813  961 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [  79  147  156  189  369  671  780  813 1059 1092]
label_predict: [  13   51  147  335  813  896  952 1046 1092]
label_predict: [ 147  189  420  813  835 1092]
label_predict: [ 147  189  430  434  501  545  559  738  813 1046 1092]
label_predict: [ 13  51 147 552 626 671 780]
label_predict: [  51  147  189  813 1092]
label_predict: [  51  111  147  189  813 1046 1092]
1116it [00:31, 46.20it/s]
label_predict: [  79  121  189  369  498  813 1059]
label_predict: [  51  147  156  189  615  744  813 1099]
label_predict: [  13  147  189  813  896  903 1092]
label_predict: [ 131  147  189  671  768  780 1034]
1126it [00:31, 36.05it/s]
label_predict: [ 147  189  369  373  597  671  768  780 1034 1035]
label_predict: [ 147  194  369  671  744  813  896  903 1019 1092]
label_predict: [  13  147  156  189  813  896  961 1092]
label_predict: [  79  147  189  671  780  813 1046 1092]
label_predict: [ 147  156  189  482  498  813  949  961 1092]
label_predict: [ 147  156  189  259  418  541  542  813  835  949 1046 1092]
label_predict: [ 147  369  436  671  813 1019]
label_predict: [ 13  51 147 189 552 626 671 780]
label_predict: [  13  147  189  420  738  776  813 1046 1092]
label_predict: [147 156 189 485 607 671 780]
1136it [00:31, 39.69it/s]
label_predict: [  51  111  147  189  420  480  483  573  733  737  738  776  813 1046
 1092]
label_predict: [  51  147  194  671  744  780  813 1092]
label_predict: [ 147  189  813 1092]
label_predict: [  51  147  156  212  369  586 1039 1059]
label_predict: [  13   51  147  369  552  671 1059]
label_predict: [  13   51  147  744  813  896 1092]
label_predict: [ 51  79 147 189 671 780 813]
label_predict: [ 147  189  744  813  896 1092]
label_predict: [ 13  51 147 189 552 626 671 780]
1146it [00:32, 41.32it/s]
label_predict: [  51  147  156  189  430  501  541  559  738  813 1046 1092]
label_predict: [ 51 147 156 189 485 603 671 780 835]
label_predict: [ 121  180  188  189  498  724  813 1023 1092 1099]
label_predict: [  51  147  189  744  813  835 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [ 13  14  41 121 147 433 552 626 671 768 780]
label_predict: [  13   51  111  147  189  738  776  813 1046 1092]
label_predict: [ 121  369 1039]
label_predict: [  79  147  156  189  194  477  612  671  780 1059]
1156it [00:32, 43.13it/s]
label_predict: [ 79 121 194 813 844]
label_predict: [ 121  313  433  962 1039]
label_predict: [  13   51  147  813  896 1092]
label_predict: [ 121  433  724 1039]
label_predict: [  51  111  147  156  189  259  541  813 1046 1092]
label_predict: [  13   51  147  813  896 1092]
label_predict: [ 194  480  483  494  737  738  744  776  813  830  992 1046 1092 1099]
label_predict: [  51   79  111  147  156  369  477  671  780 1059]
label_predict: [  79  147  189  194  813 1092]
1161it [00:32, 38.89it/s]
label_predict: [  13  405  896  903 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [131 147 189 552 671 768 780]
label_predict: [ 147  189  813 1092]
label_predict: [  18   25   51  161  304  331  487  584  758  813 1059 1062 1092]
label_predict: [  51  147  156  189  671  813  961 1092]
label_predict: [  51  147  156  227  477  612  671  780  813  954 1092]
label_predict: [ 194  480  483  494  725  737  738  744  776  813  830  923  992 1046
 1092 1099]
1171it [00:32, 41.30it/s]
label_predict: [ 111  147  189  418  541  813  949 1046 1092]
label_predict: [ 121  147  813  961 1059 1092]
label_predict: [ 161  204  304  813  872  961 1061]
label_predict: [ 194  404  813 1020 1092]
label_predict: [ 147  189  671  780 1034]
label_predict: [  51  111  147  189  813 1046 1092]
label_predict: [  13   51  147  552  626  671  780  813 1092]
label_predict: [  13  698  813  896 1092]
label_predict: [ 147  189  194  671  780 1034]
1181it [00:32, 42.39it/s]
label_predict: [  79  147  188  189  194  369  477  671  780 1034 1035]
label_predict: [ 121  369  433  724 1023 1059]
label_predict: [  51  194  485  671  744  813  890 1092 1099]
label_predict: [369 438 726]
label_predict: [  13   51  147  194  813 1092]
label_predict: [ 147  189  259  813  835 1046 1092]
label_predict: [  13   51  147  189  813  896  903 1092]
label_predict: [  79  147  189  369  671  780 1059]
label_predict: [1059]
1186it [00:33, 41.78it/s]
label_predict: [  51  147  189  194  813 1092]
label_predict: [ 188 1059]
label_predict: [ 13  51 147 189 671 813]
label_predict: [ 121  184  194  754 1039 1059]
label_predict: [  51  147  189  552  597  671  780 1034 1035]
label_predict: [  51  147  189  369  833 1039]
label_predict: [  79  121  194  369  489 1059]
1196it [00:33, 40.13it/s]
label_predict: [  51  147  813 1092]
label_predict: [ 121  487  961 1059]
label_predict: [ 147  369  436  720  813 1092]
label_predict: [  70  147  189  738  800  813  835 1092]
label_predict: [  79  121  194  239  482  487  498  813  961 1059 1092]
label_predict: [ 147  188  189  552  671  780 1034]
label_predict: [  99  121  161  498  718  813  896  961 1092]
label_predict: [ 111  147  189  738  813 1046 1092]
label_predict: [  79  182  194  369  754 1059]
label_predict: [  51  147  189  744  813  903 1092]
1201it [00:33, 41.17it/s]
label_predict: [  79  147  156  189  420  813 1059 1092]
label_predict: [ 121  433  724  962 1039 1059]
label_predict: [  51   79  147  189  194  671  813 1059 1092]
label_predict: [ 147  156  189  259  418  541  813  835 1092]
label_predict: [ 480  483  501  737  738  776  813  923  931 1046]
label_predict: [  79  147  156  189  436  813 1059 1092]
1211it [00:33, 38.81it/s]
label_predict: [ 121  147  369  597 1034 1035]
label_predict: [ 121  415  464 1039]
label_predict: [  51   79  147  156  189  465  584  671  813 1059 1062 1092]
label_predict: [  51  147  156  189  369  436  626  671  780  813 1059]
label_predict: [  13  434  501  738  813 1046]
label_predict: [ 156  189  369  587  766 1020 1084]
label_predict: [  13   51  147  519  813 1092]
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label_predict: [  51  147  189  813 1046 1092]
label_predict: [ 121  188 1039 1059]
1221it [00:33, 42.98it/s]
label_predict: [147 156 189 485 603 671 780]
label_predict: [ 147  156  189  369  586  587  766  833  884 1020 1039 1059]
label_predict: [ 156  189  245  300  355  369  436  587  726  766  994 1020 1059 1084]
label_predict: [ 13  14 127 147 552 555 626 671 780]
label_predict: [  79  121  147 1059]
label_predict: [  51  147  189  671  744  780  813  903 1092]
label_predict: [  51  147  156  189  813 1059 1092]
label_predict: [ 13 477]
label_predict: [  51  147  194  738  813 1046 1092]
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1231it [00:34, 43.94it/s]
label_predict: [  51  147  156  189  369  671  813 1059 1092]
label_predict: [ 147  156  189  418  541  542  671  744  813  835  949 1072 1092]
label_predict: [  13   51  147  698  813  896 1092]
label_predict: [  13  147  813  896  903 1092]
label_predict: [ 430  501  545  813 1009 1046 1092]
label_predict: [  51  111  147  156  189  259  541  813  993 1046 1092]
label_predict: [ 147  189  813 1092]
label_predict: [ 147  189  671  813 1046 1092]
label_predict: [  51  147  156  189  369  477  554  612  671  780 1059]
label_predict: [  99  718  813  896  961 1092]
1236it [00:34, 45.42it/s]
label_predict: [  99  813  896  961 1092]
label_predict: [  79  147  156  189  671  780  813 1034 1035]
label_predict: [ 147  189  194  671  780 1034]
label_predict: [ 147  189  430  434  501  559  738  813  835  871 1092]
1246it [00:34, 37.71it/s]
label_predict: [ 147  369  438 1039 1059]
label_predict: [  13   51  147  552  671  780  813 1092]
label_predict: [121 724 955 962]
label_predict: [ 13  51 147 552 626 671 780]
label_predict: [ 121  304 1059]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [  51  147  156  189  227  612  671  780  813 1059 1092]
label_predict: [  79  147  744  813  896  903 1092]
label_predict: [  13  147  744  813  896  903 1092]
label_predict: [  51  111  147  189  813 1046 1092]
1256it [00:34, 42.57it/s]
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label_predict: [  13   51  147  189  813 1092]
label_predict: [ 147  189  498  718  813  835 1092]
label_predict: [ 121  184  420 1039 1059]
label_predict: [  51  111  147  189  420  733  738  776  813 1046 1092]
label_predict: [  51  147  189  489  671 1059]
label_predict: [  13  445  813  896  903 1092]
label_predict: [  51  147  189  477  639  671  780  950 1034 1035]
label_predict: [ 194  480  483  494  725  737  738  744  776  813  826  830 1046 1092
 1093 1099]
1266it [00:35, 43.77it/s]
label_predict: [  51  147  189  671  780  813  835 1092]
label_predict: [  13   51  147  335  813 1046 1092]
label_predict: [  13   79  111  147  483  738  776  813  830 1046]
label_predict: [  79  369  813 1059]
label_predict: [  51  121  738  813  961 1059 1092]
label_predict: [  13   51   79  121  147  194  433  552  813 1092]
label_predict: [ 13 121 147 552 626 671 780]
label_predict: [ 147  156  189  671  744  780  813  903 1092]
label_predict: [147 304 369 634 840]
label_predict: [  13   79  776 1046]
1276it [00:35, 45.24it/s]
label_predict: [  13   79  147  194  404  671  813 1020 1092]
label_predict: [ 147  189  418  663  800  813  835 1092]
label_predict: [  51   79  147  156  180  188  189  671  744  813 1059 1092 1099]
label_predict: [  13  147  194  813 1092]
label_predict: [  79  138  147  188  189  477  489  612  671  780 1059 1062]
label_predict: [ 147  189  612  744  813  896  903 1059 1092]
label_predict: [ 147  156  189  259  418  541  542  579  813  949 1072 1092]
label_predict: [ 79 194 813 844]
label_predict: [ 121  161  304  813 1059]
label_predict: [  51  147  189  744  813  835  896  903 1092]
1286it [00:35, 43.41it/s]
label_predict: [  13  147  813  896  903 1092]
label_predict: [  51  147  189  369  586  833 1039 1059]
label_predict: [  13   51  147  744  813  896  903 1092]
label_predict: [  51  147  369  587 1039 1059]
label_predict: [ 147  189  813  835 1046 1092]
label_predict: [  79  121  194  369  671 1059]
label_predict: [  99  121  147  189  498  718  813  961 1092]
label_predict: [ 13  51 147 189 552 626 671 780]
1296it [00:35, 43.39it/s]
label_predict: [  51  147  813 1046 1092]
label_predict: [ 634  718  813  872 1092]
label_predict: [  79  147  188  477  597  671  744  780  813 1046 1092 1099]
label_predict: [  51   79  147  156  189  436  671  720  780 1059]
label_predict: [ 13  51 127 147 369 552 671 675 780 978]
label_predict: [121 147 189 671]
label_predict: [  55  131  147  189  378  552  671  768  780 1034]
label_predict: [ 147  156  189  259  418  541  542  796  813  835  949 1072 1092]
label_predict: [ 147  188  189  194  552  671  780 1034]
label_predict: [ 33  99 420 738 813 835 962]
1307it [00:35, 45.67it/s]
label_predict: [  51  147  483  738  776  813 1046 1092]
label_predict: [ 121  189  718  813 1092]
label_predict: [  13   51  147  552  626  671  780  813 1092]
label_predict: [  13  480  483  776  813  830 1046]
label_predict: [  51   79  147  156  189  227  420  584  671  738  780  813 1046 1059
 1092]
label_predict: [ 147  188  189  477  597  612  671  780  813 1092]
label_predict: [ 147  189  194  671  768  780 1034]
label_predict: [  79  189  498  813  961 1092]
label_predict: [  51  111  147  189  483  738  776  813 1046 1092]
label_predict: [ 147  813  896 1092]
1317it [00:36, 45.73it/s]
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label_predict: [ 147  156  189  259  418  541  813  949 1092]
label_predict: [  13  147  369 1059]
label_predict: [ 79 121 194 304 754 872]
label_predict: [  79  147  156  189  498  813  961 1059 1092]
label_predict: [  79  147  194  369  477  489  506  612  671  780 1046 1062]
label_predict: [ 147  156  189  434  485  615  744  813  835 1092 1099]
label_predict: [  13  445  457  755  813  896 1092]
label_predict: [  51  111  147  156  189  813 1046 1092]
label_predict: [  51  147  156  227  322  339  393  477  612  671  780  813  954  961
 1046 1092]
1327it [00:36, 45.30it/s]
label_predict: [  13  147  698  813  896 1092]
label_predict: [ 147  189  304  718  813  903 1092]
label_predict: [  51  147  194  404  744  813  952 1092]
label_predict: [  79  194  813  844 1059 1092]
label_predict: [  13   51  127  147  369  552  675  716  978 1039]
label_predict: [  51  188  369  671  720  813 1019 1059]
label_predict: [  79  147  189  194  477  671  780 1034 1035 1059]
label_predict: [  13  405  896  903 1092]
label_predict: [  51  147  156  189  227  671  813  961 1092]
label_predict: [  99  189  498  718  813  961 1092]
1332it [00:36, 46.06it/s]
label_predict: [  13   51  147  369  434  501  532  738  813 1092]
label_predict: [  79  194  438 1059 1062]
label_predict: [ 147  189  335  671  780 1034 1035]
label_predict: [ 147  189  498  813  961 1092]
label_predict: [ 147  156  189  259  418  485  541  671  744  780  813  835  858 1092]
label_predict: [ 121  813 1039 1059]
label_predict: [  13   51  147  532  585  671 1022]
label_predict: [ 121  184 1039 1059]
label_predict: [  13   51  147  554  744  813  896  903 1092]
label_predict: [  13   51  111  147  483  738  776  813 1046 1092]
1343it [00:36, 47.31it/s]
label_predict: [  51  147  189  663  813  896  903 1092]
label_predict: [ 147  156  189  418  541  542  796  813  949 1072 1092]
label_predict: [ 147  156  189  259  418  541  542  813  949 1072 1092]
label_predict: [  99  161  304  718  813  961 1092]
label_predict: [ 147  189  738  813 1046 1092]
label_predict: [ 483  737  738  776  813 1046 1092]
label_predict: [  13   51  147  671  813 1092]
label_predict: [  13   51  147  189  434  615 1022]
label_predict: [  13   51  147  671  780  813 1059]
label_predict: [ 79 147 189 671 813 903]
1353it [00:36, 47.57it/s]
label_predict: [  13   51  147  194  744  813 1092]
label_predict: [ 147  156  180  188  189  369  428  485  615  671  744  803  950 1099]
label_predict: [ 188  489  612  813 1059]
label_predict: [  99  180  498  718  813  961 1092]
label_predict: [  13   51  147  189  671  780  813 1092]
label_predict: [  13   51  111  147  189  420  480  483  501  737  738  776  813  830
  923 1046]
label_predict: [ 121  161  304  813 1059]
label_predict: [  13   51  147  420  483  737  738  776  813  830 1046 1092]
label_predict: [  79  194  487  813 1059 1062]
label_predict: [  51  147  189  813 1092]
1363it [00:37, 44.50it/s]
label_predict: [ 13  79 147 188 189 552 671]
label_predict: [ 147  189  538  655  671  744  780  813  903 1046 1092]
label_predict: [ 147  189  671  780 1034 1035]
label_predict: [  13  813  896 1092]
label_predict: [  13  121  147  552  671  780 1034]
label_predict: [  51  147  189  671  780  813 1046]
label_predict: [  13  445  813  896 1092]
label_predict: [ 147  189  194  477  485  671  744  780  813 1046 1092 1099]
label_predict: [  13   51  147  194  655  671  744  780  813 1092]
1374it [00:37, 46.38it/s]
label_predict: [ 147  156  189  813  961 1092]
label_predict: [  13  147  813  896  903 1092]
label_predict: [ 13 147 552 671 768 780]
label_predict: [ 188  189 1039]
label_predict: [ 147  189  813  896 1092]
label_predict: [  51  147  156  189  813  961 1092]
label_predict: [  79  147  156  189  671  813 1059 1092]
label_predict: [  79  147  156  189  420  671  780  813  835 1046 1092]
label_predict: [ 111  147  189  480  483  501  573  737  738  776  813  830  923 1046]
label_predict: [  79  369  813 1059]
1385it [00:37, 44.79it/s]
label_predict: [  79  194 1059]
label_predict: [ 121  188  813 1039 1059]
label_predict: [  13  147  655  813  896  903 1092]
label_predict: [ 480  483  501  548  737  738  813  993 1033 1046]
label_predict: [  13   51  147  744  813 1092]
label_predict: [121 188 239 558 754 922 955]
label_predict: [  51  147  156  189  212  671  780  813 1059]
label_predict: [ 147  188  189  369  597  671  780 1034 1035]
label_predict: [  51  121  147  433  552  724 1059]
1395it [00:37, 44.74it/s]
label_predict: [ 79 121 147 189 498 813 961]
label_predict: [ 147  156  189  259  541  744  813  835 1092]
label_predict: [ 147  156  189  259  418  541  542  813  835 1092]
label_predict: [  13   51  111  147  420  480  483  501  573  737  738  776  813  830
 1046 1092]
label_predict: [  51  147  189  813  896  903 1092]
label_predict: [ 121 1039]
label_predict: [  79  147  156  189  477  489  584  612  671  738  780  813 1046 1059
 1062]
label_predict: [  79  498  718  813 1059 1092]
label_predict: [ 13  51 147 436 552 626 671 720 780]
label_predict: [ 184  369  833 1059]
1400it [00:37, 42.68it/s]
label_predict: [ 111  147  189  420  483  573  616  733  734  737  738  776  813  993
 1046 1092]
label_predict: [ 111  147  189  671  680  813  835 1046 1092]
label_predict: [  51   79  147  156  189  671  780  813  961 1059 1062 1092]
label_predict: [ 147  189  813  896 1092]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [ 194  404  655  744  813 1020 1092]
label_predict: [ 79 194 369 726]
label_predict: [  13  813  896  903 1092]
label_predict: [  51  147  156  189  322  554  612  671  744  780  813 1059]
1410it [00:38, 44.33it/s]
label_predict: [  99  121  304  369  493  754 1039 1059]
label_predict: [ 121  147  189  477  597  671  780  813 1034]
label_predict: [  13   14  147  552  626 1056]
label_predict: [  51  147  189  813 1046 1092]
label_predict: [  79  121  188  194  369  813 1034 1059 1092 1099]
label_predict: [  51   79  147  156  189  339  477  612  671  780  813 1046 1059 1092]
label_predict: [ 147  189  813 1092]
label_predict: [  79  147  156  227  339  487  671  813 1059 1062 1092]
label_predict: [121 161 304 464 634 754 872]
label_predict: [121 182 188 558 754]
1415it [00:38, 42.29it/s]
label_predict: [ 147  155  189  378  671  768  780 1034]
label_predict: [  13   14  127  147  369  552  555  626  833 1039]
1420it [00:38, 21.52it/s]
label_predict: [ 147  189  369  373  597  671  768 1034 1035]
label_predict: [ 147  156  189  418  541  671  780  813  835  949 1092]
label_predict: [  13   51  147  194  744  813  896  903 1092]
label_predict: [ 147  189  813 1046 1092]
label_predict: [ 13 147 552 626 671 780]
label_predict: [ 194  404  744  813 1020 1046 1092 1099]
label_predict: [ 116  121  415  416  465  473  487  650  684  703  704  724  735  738
  748  809  813  955  961  962 1023 1059]
label_predict: [ 147  194  404  744  813 1092]
1430it [00:39, 28.19it/s]
label_predict: [  79  121  147  188  189  671  780  813 1034 1035]
label_predict: [  79  147  156  189  671  780  813 1092]
label_predict: [  79  121  194  684  813  844 1092]
label_predict: [  79  194  477  671  738  776  780  813  830 1046 1059]
label_predict: [ 147  189  671  780 1034]
label_predict: [ 147  189  813 1092]
label_predict: [ 147  189  744  813  903 1092]
label_predict: [ 33 313 420 738 962]
label_predict: [  13   51  147  189  434  483  738  813 1046]
label_predict: [   1   33  121  184  369  582  962 1023 1059]
1442it [00:39, 36.69it/s]
label_predict: [ 13 147]
label_predict: [ 147  369  671  780  813 1019]
label_predict: [121 147 188 189 552 671 780]
label_predict: [ 147  189  671  738  813 1046 1092]
label_predict: [  13  147  189  813  896  903 1092]
label_predict: [  13  194  655  671  813 1046 1092]
label_predict: [  13  121  147  738  813 1046 1092]
label_predict: [ 121  313  962 1059]
label_predict: [ 147  369  436  587  766 1020 1039 1059]
label_predict: [ 111  147  189  480  483  501  737  738  776  813 1046]
label_predict: [ 13  14 147 552 626 671]
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label_predict: [  51   79  147  156  188  189  369  477  612  671  780 1059]
label_predict: [ 147  189  671  738  780  813 1034 1046 1092]
label_predict: [  79  147  189  477  671  780  813 1034 1035]
label_predict: [ 121  369 1039]
label_predict: [  51  147  156  189  369  554  612  671  744  746  780  813  903 1059]
label_predict: [  99  121  161  304  487  489  758 1059]
label_predict: [  13   51  147  189  813 1022 1092]
label_predict: [  13   51  147  532  813 1059 1092]
label_predict: [ 147  189  671  780  813 1034 1092]
label_predict: [  13  405  813  896  903 1092]
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label_predict: [  51  147  189  655  813 1046 1092]
label_predict: [ 13 147 189 552 626 671 780]
label_predict: [  51  147  189  813 1092]
label_predict: [  13   51  147  483  738  776  813 1046 1092]
label_predict: [ 121  415  438 1039]
label_predict: [  51  147  189  813 1092]
label_predict: [  79  147  156  194  227  369  487  671  780  813  961 1059 1092]
label_predict: [  51  147  156  189  283  671  813 1059 1092]
label_predict: [  13   51  147  813 1059]
label_predict: [  51  147  189  663  813 1092]
1473it [00:39, 44.94it/s]
label_predict: [  79  147  156  189  498  813  961 1059]
label_predict: [  79  121  188  813 1059 1092]
label_predict: [ 13 189 430 434 501 545 559 738]
label_predict: [  79  194  369  671  780 1099]
label_predict: [  79  121  147  189  813 1092]
label_predict: [121 161 204 304 634 872]
label_predict: [ 813 1092]
label_predict: [  13   79  147  189  671  780  813  903 1092]
label_predict: [ 147  501  813 1046 1092]
label_predict: [  51  147  189  597  671  780  950 1034]
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label_predict: [  13  147  189  194  655  671  744  813 1092]
label_predict: [  51  147  156  189  369  554  612  671  744  780  813  903 1092]
label_predict: [  13  716  813  896 1092]
label_predict: [ 79 121 961]
label_predict: [ 51 147 156 189 671 780]
label_predict: [  13   51  147  156  369  671  813 1059]
label_predict: [ 147  189  800  813  835 1092]
label_predict: [  79  147  156  189  194  671  780  813 1059 1092]
label_predict: [  13  445  477  813  896 1092]
label_predict: [  51  147  189  813 1092]
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label_predict: [  79  121  194  844 1059]
label_predict: [  13  813  896  903  989 1092]
label_predict: [  79  147  156  189  194  485  671  744  780  813 1092 1099]
label_predict: [  51  147  189  671  780  813 1059]
label_predict: [  99  161  189  304  498  718  813  961 1092]
label_predict: [ 147  189  813 1092]
label_predict: [ 147  813  896 1092]
label_predict: [  79  194  487  671  813 1059 1062]
label_predict: [ 147  156  189  332  418  541  542  579  796  813  949 1072 1092]
label_predict: [ 111  147  189  738  813 1046 1092]
1505it [00:40, 46.18it/s]
label_predict: [  18   25   61   99  161  304  331  489  584  758  813 1059 1062]
label_predict: [121 147 464 813 872]
label_predict: [ 147  156  189  259  418  541  542  579  813  949  993 1020 1072 1092]
label_predict: [ 147  189  671  780  813 1092]
label_predict: [ 147  156  189  813  835 1092]
label_predict: [  13  147  189  813 1092]
label_predict: [  79  194  487 1059 1062]
label_predict: [ 147  189  744  813  896  903 1092]
label_predict: [  51   79  147  156  189  498  813  961 1092]
label_predict: [ 121  147 1034]
1515it [00:40, 46.31it/s]
label_predict: [  79  121  369 1059]
label_predict: [  33   99  121  420  582  724  738  813  962 1023]
label_predict: [  51  147  156  194  369  489  584  671  780 1059]
label_predict: [ 13 121 147 369 552]
label_predict: [ 147  189  738  813  835 1046 1092]
label_predict: [  13   51  147  744  813  896  903 1092]
label_predict: [  13  147  744  813  896  903 1092]
label_predict: [  51  147  538  616  733  813  961 1046 1092]
label_predict: [ 131  147  189  378  552  671  768  780 1034]
label_predict: [  13  147  813  896 1092]
1521it [00:40, 47.88it/s]
label_predict: [121 239]
label_predict: [  51  147  194  813 1046 1092]
label_predict: [  51   79  369 1039 1059]
label_predict: [  79  194 1059 1062]
label_predict: [  79  147  188  189  322  477  489  554  612  671  780  813 1059]
label_predict: [ 121  147  189  304  450  558  718  744  813  903 1092]
label_predict: [  95  121  161  304  415  718  735  809  813  955 1092]
1531it [00:41, 41.84it/s]
label_predict: [ 147  369  597 1039]
label_predict: [  13   51  147  480  483  501  545  580  670  737  738  813  975 1046
 1092 1093]
label_predict: [  51  147  189  744  813 1092]
label_predict: [  79  147  189  194  671  780  813 1034 1092]
label_predict: [  51  147  156  671 1059]
label_predict: [ 147  189  259  418  541  813  835  949  993 1092]
label_predict: [  51  121  147  194  813 1092]
label_predict: [ 121 1039 1059]
label_predict: [  51  147  188  189  428  434  744  813 1059 1099]
label_predict: [  79  147  189  194  671  780 1034]
1541it [00:41, 40.32it/s]
label_predict: [  79  147  189  194  477  671  780 1034 1035 1046 1059]
label_predict: [ 147  189  541  813  896  949 1092]
label_predict: [ 131  147  189  671  768  780 1034]
label_predict: [  79  147  156  194 1059]
label_predict: [  13  405  445  457  813  896  903 1092]
label_predict: [  51  147  369  671 1022 1059]
label_predict: [147 156 189 436 485 552 671 780 800 872]
label_predict: [147 156 189 477 485 603 607 671 695 780]
label_predict: [ 147  156  189  259  418  541  542  579  813  835  949 1072 1092]
1551it [00:41, 42.65it/s]
label_predict: [ 180  188  189  369  615  744  750  803  813 1099]
label_predict: [  18   25  161  331  423  487  534  584  611  642  734  738  758  797
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label_predict: [ 13 147 369 552 671 780]
label_predict: [  51   79  147  156  189  227  369  477  671  780  813 1046 1059 1062
 1092]
label_predict: [ 156  189  300  369  554  587  726  766  994 1020 1059 1084]
label_predict: [  51  147  156  189  212  283  515  554  584  671  813 1059]
label_predict: [  13   51  147  156  189  813 1092]
label_predict: [  51  147  369  532 1022 1059]
label_predict: [  51  147  194  744  813 1046 1092 1099]
label_predict: [ 147  189  418  541  800  813  835  949 1092]
1561it [00:41, 44.24it/s]
label_predict: [  79  147  156  189  671  738  813 1059 1092]
label_predict: [121 147 182 189 420 813]
label_predict: [ 121  147  188  194  369  597  671  780  813 1034 1059 1092 1099]
label_predict: [ 13 147 188 477 552 671 780 813]
label_predict: [  51  147  189  335  813 1092]
label_predict: [  51   79  147  156  189  369  671  780 1059]
label_predict: [  13   51  111  147  483  738  776  813 1046]
label_predict: [ 121  433  724 1039 1059]
label_predict: [  13  194  404  655  744  813  896 1092]
label_predict: [  13  405  813  896  903 1092]
1566it [00:42, 45.58it/s]
label_predict: [  13   51  147  552 1056 1059]
label_predict: [  51  147  189  194  738  813 1046 1059 1092]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [ 147  189  259  813 1092]
label_predict: [ 13 147 188 189 477 552 671 780 813]
label_predict: [  79  147  369  586  766  884 1039]
label_predict: [ 147  189  663  718  800  813  835 1092]
label_predict: [ 33 121 420 432 724 738 955 962]
label_predict: [ 111  147  156  189  259  418  541  813 1092]
1576it [00:42, 44.78it/s]
label_predict: [121 464 552 840]
label_predict: [ 147  189  813  896  903 1092]
label_predict: [  13   51  147  189  744  813  896  903 1092]
label_predict: [  79  121  182  813 1059]
label_predict: [  79  147  189  718  813 1059 1092]
label_predict: [  79  184  194  487  584  671 1059 1062]
label_predict: [  51  147  671  780 1059]
label_predict: [ 131  147  189  671  744  780  813  835 1034 1092]
label_predict: [ 147  718  813  896  903 1092]
label_predict: [ 121  188  369  428  433  563  566  582  615  724  744  950 1023 1034
 1061 1099]
label_predict: [  51   79  147  156  189  227  322  339  369  477  612  671  780  813
  954 1046 1059 1092]
1587it [00:42, 47.20it/s]
label_predict: [  51  111  147  189  480  483  501  737  738  776  813  931 1046 1092]
label_predict: [ 147  156  189  813 1092]
label_predict: [  13  147  813 1046 1092]
label_predict: [  51  147  189  744  813  903 1092]
label_predict: [  13  147  813  896 1092]
label_predict: [  79  147  189  671  744  780  813  903 1046 1092]
label_predict: [  79  121  147  189  482  497  498  813  961 1092]
label_predict: [  79  147  189  194  477  671  780 1034 1035]
label_predict: [  13   14   51  147  552  626 1056]
1597it [00:42, 44.68it/s]
label_predict: [  13  404  405  896 1092]
label_predict: [  45   51  111  147  189  480  483  501  737  738  776  813  923  975
 1046]
label_predict: [ 147  156  189  259  541  813  993 1092]
label_predict: [ 147  189  498  813 1092]
label_predict: [  51  147  156  189  369 1059]
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label_predict: [ 13  51 147 552 671]
label_predict: [  79  147  156  189  194  671  780  813 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [ 194  480  483  494  725  737  738  744  776  813  826  830  923 1046
 1099]
1607it [00:42, 46.32it/s]
label_predict: [  13  813 1059 1092]
label_predict: [  13   51  147  813  896 1092]
label_predict: [  13   51  147  813  896 1092]
label_predict: [147 156 189 477 485 603 671 780 835]
label_predict: [  79  147  813 1046 1059]
label_predict: [ 147  189  304  718  720  744  813  903 1092]
label_predict: [  51   79  147  156  189  227  671  813  961 1059 1092]
label_predict: [  79  147  369  436 1059]
label_predict: [  13  147  698  813  896  903 1092]
label_predict: [  13  121  147  813 1092]
1617it [00:43, 46.09it/s]
label_predict: [  13   51  147  552  626  671  780 1056]
label_predict: [  51  147  156  189  369  671  780 1059]
label_predict: [  13  147  738  776  813 1046 1059 1092]
label_predict: [161 304 464 634 872]
label_predict: [  79  147  194  369  671  813 1059]
label_predict: [  79  147  156  189  369 1059]
label_predict: [  51  147  156  189  339  477  612  671  780  813 1092]
label_predict: [  99  114  121  161  217  236  257  304  369  774 1039 1059 1061]
label_predict: [ 147  188  189  552  671  780 1034]
label_predict: [ 147  189  194  671  780 1034 1035]
1627it [00:43, 46.46it/s]
label_predict: [  13  147  189  552  671  768  780 1034]
label_predict: [  79  147  369  744  813 1059]
label_predict: [  13  813  896 1092]
label_predict: [  13  147  813  896 1092]
label_predict: [ 121  304  884 1039]
label_predict: [  13   51  147  744  813  896 1092]
label_predict: [  13  147  194  744  813 1092]
label_predict: [  99  121  161  304  718  774  813  961 1059 1092]
label_predict: [ 111  147  189  483  738  776  813  830 1046 1092]
1637it [00:43, 43.96it/s]
label_predict: [  13  404  405  896  903 1092]
label_predict: [  79  194  487  671  813 1059 1062]
label_predict: [  13  147  813  896  903 1092]
label_predict: [ 121  597 1034]
label_predict: [ 147  189  813 1092]
label_predict: [ 189  482  498  718  813  961 1092]
label_predict: [  51  147  189  554  612  671  744  813  896  903 1092]
label_predict: [  51  147  189  744  813  835 1092]
label_predict: [121 313 420 962]
1647it [00:43, 43.37it/s]
label_predict: [  13   51  147  189  813  896  903 1092]
label_predict: [  79  147  156  189  482  498  813  833 1059 1092]
label_predict: [ 147  189  738  800  813  835  993 1046 1092]
label_predict: [ 147  189  663  718  813  896  903 1092]
label_predict: [  79  147  156  189  671  813  961 1092]
label_predict: [  51   76   79  147  156  189  477  487  671  780  813 1059 1062]
label_predict: [  51  147  189  477  552  597  671  780 1034 1035]
label_predict: [  79  147  156  189  194  671  780  813 1059 1092]
label_predict: [  51  111  147  189  480  483  501  737  738  776  813  923 1046]
label_predict: [  79  147  189  194  369  671  780 1034]
1657it [00:44, 44.85it/s]
label_predict: [  79  147  189  482  497  498  728  813 1059 1092]
label_predict: [  13  477  813  896 1092]
label_predict: [  13  615  813  896 1092]
label_predict: [  79  147  189  194  552  671  780 1059]
label_predict: [  51   70  147  189  434  738  813  835 1092]
label_predict: [ 483  501  737  738  776  813  931 1046 1092]
label_predict: [  13   14   51  147  552  626 1056]
label_predict: [  79  121  147  189  436  813 1092]
label_predict: [ 813 1092]
label_predict: [  79  147  558  744  813  903 1092]
1667it [00:44, 46.75it/s]
label_predict: [  79   99  121  489 1059]
label_predict: [  13   51  121  147  552  671  780 1059]
label_predict: [ 33  99 313 420 738 835 962]
label_predict: [  13  111  147  420  483  573  737  738  776  813  830  923 1046 1092]
label_predict: [ 480  483  494  501  519  548  549  737  738  813  931  993 1033 1046]
label_predict: [ 121  147  189  552  671  768  780 1034]
label_predict: [  13  147  813  896  903 1092]
label_predict: [ 147  188  189  671  780 1034]
label_predict: [  79  194 1059 1062]
label_predict: [ 125  161  304  369  634 1039]
1678it [00:44, 48.26it/s]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [  51   79  121  147  189  813 1059 1092]
label_predict: [ 13 147 156 189 369 436 552 671 720 780]
label_predict: [ 121  189  369 1023 1034 1059]
label_predict: [  51  147  156  189  671  813 1059 1062 1092]
label_predict: [  79  147  156  189  477  639  671  780 1034 1035 1046]
label_predict: [116 121 415 416 724 735 922 955 962]
label_predict: [  51  147  189  813 1092]
label_predict: [  51  147  156  189  671  744  813 1059 1092]
label_predict: [  79  184  420 1059]
1683it [00:44, 48.24it/s]
label_predict: [  99  121  433  718  813 1092]
label_predict: [ 147  369  434  508  532  813 1022 1059]
label_predict: [ 13  51 147 189 369]
label_predict: [  79  487  671  780 1059 1062]
label_predict: [ 147  718  813  896  903 1092]
label_predict: [  51  147  188  189  477  671  744  813  835 1092]
label_predict: [ 369  436  587  766 1020 1039 1059]
1693it [00:44, 39.04it/s]
label_predict: [ 147  189  369  373  597  671  768 1034 1035]
label_predict: [  99  121  125  161  192  304  495  754 1039]
label_predict: [  79  194 1059 1062]
label_predict: [  13   51  147  480  483  738  776  813 1046 1092]
label_predict: [ 147  156  189  477  485  671  780  813  835 1092]
label_predict: [ 13 147 189 369 436 552 671 780]
label_predict: [ 161  194  369 1059]
label_predict: [  99  161  189  304  498  718  813  961 1092]
label_predict: [  51  147  189  616  813  993 1092]
label_predict: [ 121  489 1039 1059]
1704it [00:45, 43.70it/s]
label_predict: [ 121  161  304  813  872 1059 1092]
label_predict: [121 304 464 634 813 872]
label_predict: [ 147  188  189  498  671  738  813  835 1046 1092]
label_predict: [  51  147  189  738  813 1046 1092]
label_predict: [ 125  161  204  304  369  634  872 1059]
label_predict: [ 147  194  671  780 1092]
label_predict: [ 147  156  189  259  418  541  542  813 1046 1092]
label_predict: [  13   51  147  744  813  952 1092]
label_predict: [   1   33  121  275  369  432  582  724 1023 1061]
label_predict: [ 147  156  189  813  835 1092]
1714it [00:45, 45.96it/s]
label_predict: [  51  147  189  335  813  896 1092]
label_predict: [  13   51  147  189  430  434  501  559  738  813 1092]
label_predict: [487 624 684 738 961]
label_predict: [ 156  189  300  369  587  766 1059 1084]
label_predict: [ 121 1039 1059]
label_predict: [ 116  121  304  374  415  464  473  487  597  650  681  684  704  724
  735  748  819  925  955 1026]
label_predict: [ 13 121 147 189 597]
label_predict: [  51  147  156  369  586 1059]
label_predict: [  13  813  896  903 1092]
label_predict: [  51  147  813 1046 1092]
1725it [00:45, 47.20it/s]
label_predict: [ 99 121 161 304 464 493 634 754 840 872 922]
label_predict: [ 147  189  813 1046 1092]
label_predict: [  13   51  147  626  671  780  813  961 1092]
label_predict: [  79  194  304  487  671 1059 1062]
label_predict: [  51   79  147  194  212  671  813 1059]
label_predict: [  79  147  189  369  436  498  720  813 1059]
label_predict: [  51  147  189  744  813  835 1092]
label_predict: [  51  147  188  189  639  671  780  950 1034]
label_predict: [ 147  156  189  554  612  671  744  780  813  903 1092]
label_predict: [  51   76  147  156  189  212  671  813  961 1059 1092]
1736it [00:45, 48.73it/s]
label_predict: [  51  147  156  189  813 1092]
label_predict: [  79   99  121  161  304  487  758  961 1059 1062]
label_predict: [ 147  188  189  335  369  477  597  639  671  780  950 1034 1035]
label_predict: [  79  194  487  624  671  780 1059 1062]
label_predict: [ 147  188  477  671  733  744  780  803  813 1092 1099]
label_predict: [ 147  189  813  896  903 1092]
label_predict: [ 147  156  189  418  541  542  813  949 1059 1072 1092]
label_predict: [ 147  156  189  306  369  671  744  813  903 1092]
label_predict: [ 35  99 313 420 718 738 784 813 835 962]
label_predict: [ 121  147  304  813  872 1092]
label_predict: [121 415 724 813 955 962]
1746it [00:45, 48.60it/s]
label_predict: [ 33  99 313 420 738 813 835 962]
label_predict: [  51  147  156  189  369  436  671  720  780 1059]
label_predict: [  79  147  156  194  477  489  612  671  780  954 1046 1059]
label_predict: [121 487 724]
label_predict: [  51  147  189  434  738  813 1092]
label_predict: [ 147  189  369  586  671 1039]
label_predict: [ 13  41 131 147 552 671 768 780]
label_predict: [  25   99  161  304  718  813  962 1092]
label_predict: [  51  127  147  360  369  436  587  766 1019 1020 1039 1059]
label_predict: [  51  147  194  477  485  671  780  813 1046 1092 1099]
1751it [00:46, 37.35it/s]
label_predict: [  79  354  489 1059]
label_predict: [  79  147  189  194  477  671  780 1034 1059]
label_predict: [  99  121  161  487 1059 1062]
label_predict: [ 131  147  189  378  671  768  780 1034]
label_predict: [  51  147  189  671  813 1046 1092]
1762it [00:46, 42.93it/s]
label_predict: [ 147  156  189  418  541  813  835  949 1092]
label_predict: [  99  121  718  813 1059]
label_predict: [  99  147  189  718  813 1092]
label_predict: [ 127  156  189  300  368  369  436  587  766 1059 1084]
label_predict: [  13   51  147  813  896 1092]
label_predict: [121 432 433 520 558 724 955]
label_predict: [  13  147  420  477  671  813 1092]
label_predict: [  51   79  147  156  227  322  339  489  584  612  671  780  813  954
 1059 1062 1092]
label_predict: [  79  147  156  189  194  584  671  813 1059 1062]
label_predict: [ 147  813  896 1092]
label_predict: [  79  189  482  497  498  813  961 1059 1092]
1767it [00:46, 43.32it/s]
label_predict: [ 51 147 156 189 322 369 612 671 780]
label_predict: [ 147  189  259  418  718  800  813  835  949 1092]
label_predict: [  79  147  188  189  671  780  813 1059 1092]
label_predict: [ 147  189  671  780 1034 1035]
label_predict: [ 147  189  813 1092]
label_predict: [  13   51  147  477  552  671  780  813 1092]
label_predict: [  13   14   51  147  552  626 1056]
label_predict: [  51  147  189  813 1092]
label_predict: [  13  813  896 1092]
label_predict:
1777it [00:46, 44.71it/s]
 [ 33 420 738 813 835 962]
label_predict: [ 147  189  800  813 1092]
label_predict: [ 13  41  51 147 189 552 671 768 780]
label_predict: [ 147  156  189  813  835 1092]
label_predict: [ 121 1034]
label_predict: [ 147  156  189  541  813  835 1092]
label_predict: [  51  147  156  227  322  369  393  477  554  584  612  671  780  813
  954 1030 1046 1059 1092]
label_predict: [ 13  51 147 189]
label_predict: [ 13  51 147 369 552 671 780]
label_predict: [  13   51  111  147  189  813 1046 1092]
1787it [00:46, 46.56it/s]
label_predict: [ 51 147 189 813]
label_predict: [  25  161  487  734  813 1059 1062 1092]
label_predict: [  13  188  231  744  803  813 1092 1099]
label_predict: [ 147  161  369 1059]
label_predict: [  13  147  813 1092]
label_predict: [ 51 147 156 189 485 603 671 744 780]
label_predict: [  51  147  189  813 1092]
label_predict: [147 189 369 436 671 780]
label_predict: [  99  121  147  189  433  718  720  744  813  903 1092]
label_predict: [ 13  41 131 147 189 552 671 768 780]
1798it [00:47, 43.26it/s]
label_predict: [  99  121  147  718  813 1092]
label_predict: [  13   51  147  189  477  552  655  671  780  813 1046]
label_predict: [  51  147  156  189  541  813 1092]
label_predict: [  79  147  189  498  813 1059 1092]
label_predict: [ 147  189  369  597  671  768  780 1034 1035]
label_predict: [  13  147  189  738  813 1046 1092]
label_predict: [ 121  962 1059]
label_predict: [  13   51  147  189  335  744  813  896  903 1092]
label_predict: [  51  147  189  744  813  896  903 1092]
1809it [00:47, 46.00it/s]
label_predict: [  51  121  147  813 1092]
label_predict: [  51  147  156  189  369  489  554  612  671  780 1059]
label_predict: [  99  121 1039 1059]
label_predict: [  79  147  189  194  671  780 1034]
label_predict: [  79  147  156  189  498  813 1092]
label_predict: [  79  147  156  189  671  780  813 1059 1092]
label_predict: [  79  121  194  239  487 1059 1062]
label_predict: [  79  147  156  189  194  227  612  671  780  813 1059 1092]
label_predict: [  26   52  111  116  147  151  155  156  177  189  209  231  285  369
  415  450  485  487  552  564  579  592  624  655  671  682  684  705
  738  748  754  780  800  844  870  872  889  925  953  961  967  999
 1000 1098]
label_predict: [  13  147  189  430  434  501  559  738  813 1092]
1820it [00:47, 47.86it/s]
label_predict: [  79  194  487 1059 1062]
label_predict: [  51  147  189  663  813 1092]
label_predict: [ 147  189  552  597  671  780 1034]
label_predict: [  67   89  121  156  171  189  223  245  300  337  355  368  369  587
  726  766  994 1020 1059 1084]
label_predict: [  99  369  493  754 1039 1059]
label_predict: [  51  147  189  813 1092]
label_predict: [  79  147  156  161  194  584  813 1059]
label_predict: [  79  184  249  369  489  584 1059]
label_predict: [  99  121  125  161  304 1039 1059]
label_predict: [ 161  718  813 1059 1092]
label_predict: [  79  161  194  487  758  813 1059 1062 1092]
1830it [00:47, 45.16it/s]
label_predict: [  51  147  156  188  189  420  477  671  780  813  835 1059 1092]
label_predict: [  99  147  189  420  718  813 1059 1092]
label_predict: [ 121 1059]
label_predict: [  25  161  534  584  611  642  733  734  738  758  797  800  813  953
  974  993 1059 1062 1092]
label_predict: [  79  147  156  189  477  671  780 1059]
label_predict: [ 121  147  433  552  671 1034 1039]
label_predict: [  51  147  156  584  758 1059]
label_predict: [121 147 189 369 433 597 671 780 813]
label_predict: [  51  147  156  283  369  515  532 1022 1059]
1840it [00:48, 46.37it/s]
label_predict: [ 147  156  189  259  418  541  813  835 1092]
label_predict: [  13   14   41   51  147  552  626  671  768  780 1056]
label_predict: [ 180  188  194  428  498  671  744  803  813 1092 1099]
label_predict: [  13   51  147  189  813  896  903 1092]
label_predict: [  51  111  147  156  189  259  418  541  542  813 1046 1092]
label_predict: [  79  194  369  489  624  671  780 1059]
label_predict: [  79  156  194  487  671  738  780 1059 1062]
label_predict: [ 13  14 147 552 716]
label_predict: [ 121  161 1059]
label_predict: [  79  194  584  671 1059 1062]
1850it [00:48, 47.25it/s]
label_predict: [  13  147  698  813  896  903 1092]
label_predict: [121 420 718 813 962]
label_predict: [ 147  156  189  541  813  949 1092]
label_predict: [ 147  189  418  800  813  835  949 1092]
label_predict: [  79  813  961 1059 1092]
label_predict: [  51   79  147  156  189  339  671  738  813 1059 1092]
label_predict: [  51  147  188  189  428  744  803  813 1092 1099]
label_predict: [  79  147  189  671  780  813 1034 1046]
label_predict: [  13  147  188  189  369  552  626  671  780 1034]
label_predict: [  51  121  147  188  369  552  671  744  813 1099]
1860it [00:48, 48.14it/s]
label_predict: [ 147  189  369  436  671  744  813  903 1059 1092]
label_predict: [ 79 121 194 813 844]
label_predict: [  79  121  147  189  369 1059]
label_predict: [  13   51  147  189  744  813  896  903 1092]
label_predict: [  79  304  487 1059 1062]
label_predict: [  79  147  156  189  194  813  844 1092]
label_predict: [  51  147  156  189  813  835 1092]
label_predict: [ 147  156  189  738  813  835 1092]
label_predict: [  13  147  156  189  655  813 1092]
label_predict: [ 189  369  582 1023]
1870it [00:48, 47.41it/s]
label_predict: [ 147  156  184  189  369  833 1039 1059]
label_predict: [121 147 189 552 671 780]
label_predict: [ 121  369  766 1039 1059]
label_predict: [  18   51  147  156  161  212  227  304  331  339  487  584  612  671
  758  813  961 1030 1059 1092]
label_predict: [  33  121  582  738  962 1023 1059]
label_predict: [  51  111  147  189  737  738  776  813 1046 1092]
label_predict: [ 121  188  231  369  754 1039 1085]
label_predict: [147 313 813 903 962]
label_predict: [  79  147  189  194  369  671  780  813 1059]
label_predict: [  51  147  156  189  212  369  586 1020 1059]
1875it [00:48, 47.39it/s]
label_predict: [  26   51  135  147  156  175  189  212  283  322  477  515  554  584
  612  647  671  746  758  780  813  889 1030 1059 1062 1080]
label_predict: [  79  121 1039 1059]
label_predict: [  13  405  813  896  903 1092]
label_predict: [ 147  189  671  780 1034]
label_predict: [  51  111  147  189  738  776  813 1046 1092]
label_predict: [  51  147  156  189  498  813  961 1092]
label_predict: [ 147  194  813 1046 1059 1092]
label_predict: [  13   51  147  813  896 1092]
label_predict: [121 369 634 754]
1885it [00:49, 44.79it/s]
label_predict: [ 111  147  156  189  420  680  738  776  813  835 1046 1092]
label_predict: [  13  147  189  698  813  896  903 1092]
label_predict: [ 121  369  724  813 1059]
label_predict: [  13  404  405  896  903 1092]
label_predict: [ 369  489 1059]
label_predict: [  79  147  156  194  487  671  780  813 1059 1062 1092]
label_predict: [ 147  733  737  738  813  993 1046 1092]
label_predict: [121 188 189 428 558 724 744 955]
label_predict: [  79  184  369 1059]
label_predict: [  51  147  156  189  259  541  813 1046 1092]
1895it [00:49, 43.36it/s]
label_predict: [ 121  188  369  582  724  813 1023 1092 1099]
label_predict: [ 147  189  776  813  835 1046 1092]
label_predict: [  51   79  147  156  189  227  477  612  671  780  813 1046 1092]
label_predict: [ 13 131 147 189 552 671 768 780]
label_predict: [ 147  189  259  813 1092]
label_predict: [ 147  156  189  259  418  541  671  738  780  813  835 1046 1092]
label_predict: [ 147  189  813  896  903 1092]
label_predict: [ 147  189  663  718  800  813  835 1092]
label_predict: [  13   79  776  813  830 1046]
1905it [00:49, 45.03it/s]
label_predict: [  51  147  189  813  835 1092]
label_predict: [ 13  14  51 147 552 671 716]
label_predict: [ 188  304 1059]
label_predict: [  51  147  156  369  671  780 1059]
label_predict: [  51  147  189  655  671  744  780  813  903 1092]
label_predict: [  51  147  189  538  616  698  813  993 1092]
label_predict: [  13   51  147  369  552  626  671  780 1059]
label_predict: [  25   79  156  161  487  584  758  813 1059 1062 1092]
label_predict: [  51   79  147  156  194  227  477  584  671  780  813 1046 1059 1092]
label_predict: [  79  121  161  304  487  813 1059]
1915it [00:49, 45.16it/s]
label_predict: [  51  147  156  189  813  896  961 1092]
label_predict: [ 147  189  304  498  718  813  961 1092]
label_predict: [  13   51  147  189  813 1092]
label_predict: [ 147  156  189  813  835 1092]
label_predict: [ 147  189  738  813  993 1046 1092]
label_predict: [ 147  189  418  541  813  949 1092]
label_predict: [ 13 147 189]
label_predict: [ 147  189  671  780 1034]
label_predict: [ 13  14  51 147 552 626 671 780]
1925it [00:49, 44.18it/s]
label_predict: [ 147  156  189  541  813  896  949 1092]
label_predict: [189 552 671 768]
label_predict: [ 13 147 182 189 420 552 671 754 780]
label_predict: [ 180  188  750  803  813 1099]
label_predict: [ 121  369  433  813 1039 1059]
label_predict: [ 147  189  671  780  813 1034 1092]
label_predict: [ 111  147  189  420  738  776  813  835 1046 1092]
label_predict: [ 121  724  813 1092]
label_predict: [  51  147  156  189  369  584  671  780 1059]
label_predict: [ 147  189  612  655  744  813  896  903 1092]
1931it [00:50, 46.01it/s]
label_predict: [  79  147  189  671  780  813 1034]
label_predict: [  51  147  156  189  212  369  671  744  813 1059]
label_predict: [  51  147  616  733  734  738  813  952 1046 1092]
label_predict: [  13   14   51  147  552  626 1056]
label_predict: [  79  147  189  671  780 1034 1059]
label_predict: [  51   79  147  189  194  671  780  813 1046 1092]
label_predict: [ 184  188  231  313  369  464  507 1039 1059 1085]
1940it [00:50, 30.47it/s]
label_predict: [ 121  147  369  597  833 1039]
label_predict: [  51  147  189  744  813  896  903 1092]
label_predict: [  51  147  189  597  671  738  813  835 1092]
label_predict: [ 79 369 438]
label_predict: [  51  147  189  813 1092]
label_predict: [ 147  189  671  768  780 1034]
label_predict: [ 147  189  813  835  896 1092]
label_predict: [  51  147  189  813  835 1092]
label_predict: [  51  111  147  156  189  813 1046 1092]
1950it [00:50, 36.07it/s]
label_predict: [  13   51  147  189  813  896  903 1092]
label_predict: [  79  147  189  477  597  639  671  768  780 1034 1035]
label_predict: [  13   51  147  189  813  896  903 1092]
label_predict: [ 188  189  194  671  780 1034]
label_predict: [ 33 313 420 738 962]
label_predict: [  13   51  111  147  480  483  501  573  725  737  738  776  813  830
  923 1046]
label_predict: [ 194  480  483  494  725  737  738  744  776  813  830  923 1046 1092
 1099]
label_predict: [ 121  161  304 1039]
label_predict: [  51   99  121  304  813 1059]
1960it [00:50, 41.34it/s]
label_predict: [  51  147  189  501  580  733  734  738  813  993 1046 1092]
label_predict: [  79  194  487  624  671  780 1059 1062]
label_predict: [ 13  51 147 189 369 552 626 639 671 780]
label_predict: [  79  147  156  189  369  477  612  671  780  813  954 1046 1092]
label_predict: [ 121  369 1039]
label_predict: [  51  147  189  671  744  813 1092]
label_predict: [ 79 369 438 624 726]
label_predict: [  51  147  156  189  369  586  587  833 1020 1039 1059]
label_predict: [  13  404  405  896  903 1092]
label_predict: [  13  147  671  813 1092 1099]
1970it [00:51, 43.87it/s]
label_predict: [ 51 147 189 430 434 501 559 615]
label_predict: [121 161 304 369 415 464 634 813 872]
label_predict: [  51  111  147  189  483  738  776  813 1046]
label_predict: [ 121  161  813 1059 1062]
label_predict: [  13  147  189  813  896 1092]
label_predict: [ 147  156  189  541  813 1092]
label_predict: [121 558 724 754 955]
label_predict: [ 147  189  663  800  813  835 1092]
label_predict: [  79  194  354 1059]
label_predict: [ 147  156  189  259  418  420  462  541  663  733  800  813  835  993
 1092]
1980it [00:51, 44.40it/s]
label_predict: [ 147  189  813  835 1092]
label_predict: [ 13  14 147 552 626 671 780]
label_predict: [  13  477  554  670  813 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [ 51 147 189 671]
label_predict: [  79  147  189  194  420  477  671  813 1059 1092]
label_predict: [  9  33  99 237 313 420 708 738 813 835 955 962]
label_predict: [ 369  436  720  813 1019]
label_predict: [ 147  189  718  813  896  903 1092]
1990it [00:51, 46.13it/s]
label_predict: [  79  121  147  156  189 1059 1062]
label_predict: [ 96 121 161 236 304 813 900 955 962]
label_predict: [ 147  156  189  813 1092]
label_predict: [  99  121  498  718  813  961 1092]
label_predict: [ 147  189  671  780  813 1034]
label_predict: [147 189 369]
label_predict: [  13  405  813  896  903 1092]
label_predict: [  79  147  189  671  780 1034]
label_predict: [  79   99  121  304  718  813  961 1059 1092]
label_predict: [  51  147  189  663  718  813  896  903 1092]
2000it [00:51, 47.24it/s]
label_predict: [  79  147  156  189  477  671  780  813 1059 1062 1092]
label_predict: [ 13 147 188 552 671 780]
label_predict: [  13  404  405  896 1092]
label_predict: [ 13  14  51 147 369 552 626 671 716 780]
label_predict: [ 111  480  483  494  725  737  738  776  813  830  923 1046]
label_predict: [ 147  304  744  813  872  896  903 1092]
label_predict: [  51  147  188  189  477  597  671  744  780  813  835 1034 1092]
label_predict: [  13  147  554  744  813  896  903 1092]
label_predict: [ 147  156  189  744  813 1092]
label_predict: [  13   79  776 1046]
2011it [00:52, 47.65it/s]
label_predict: [  99  161  304  487  758 1059]
label_predict: [ 147  188  189  369  720  813  903 1019 1059]
label_predict: [ 147  156  189  498  813 1092]
label_predict: [  79  194  369 1059]
label_predict: [  79  121  194  282  489 1059]
label_predict: [  13  147  189  405  813  896  903 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [ 147  156  189  259  418  541  542  813  949 1072 1092]
label_predict: [ 195  369  587  726  766  884 1020 1039 1059 1084]
label_predict: [ 33 313 420 738 962]
2021it [00:52, 46.84it/s]
label_predict: [  51  135  147  156  322  369  554  584  612  671  746  780  954 1059]
label_predict: [  79  147  189  671  780 1034]
label_predict: [121 432 433 520 558 724 955]
label_predict: [ 121  188  369 1059]
label_predict: [ 121  147  189  194  655  744  813  903 1092]
label_predict: [ 147  156  189  332  418  420  541  542  813  835  949  993 1072 1092]
label_predict: [ 121  369  586  726 1039]
label_predict: [ 147  189  259  800  813  835 1046 1092]
label_predict: [  13  404  405  896  903 1092]
label_predict: [  13   14   51  147  552  555  567  626  716  976 1056]
2026it [00:52, 47.10it/s]
label_predict: [  51  147  189  212  671  813 1092]
label_predict: [  29   79  147  188  671  733  738  780  813 1046 1092 1099]
label_predict: [  13   51  147  189  430  434  501  545  559  813 1092]
label_predict: [  79   99  125  304  489 1059]
label_predict: [  13   51  147  189  813  896  903 1092]
label_predict: [  51  121  189  498  813  961 1059]
label_predict: [ 147  189  369  373  597  671  768  780 1034 1035]
label_predict: [  18   25  161  331  414  423  425  444  534  584  611  642  707  722
  733  734  738  751  758  797  800  813  847  897  953  974  993 1059
 1062 1092]
label_predict: [147 188 189 369]
2037it [00:52, 46.26it/s]
label_predict: [ 188  369  563  671 1034 1061]
label_predict: [  18   25   61  161  304  331  487  584  758  813 1059 1092]
label_predict: [  79  194  280  498  718  813 1059 1092]
label_predict: [  79   99  194  369 1059]
label_predict: [  51  147  156  189  720  813 1092]
label_predict: [121 147 189 433 813]
label_predict: [  79  147  188  189  671  813 1092]
label_predict: [  79  147  156  194  489  584  612  671  780  954 1059]
label_predict: [  51   79  147  156  189  369  671  780 1059]
label_predict: [ 13 147 552 626 671 780]
2047it [00:52, 38.89it/s]
label_predict: [147 156 189 485 603 607 671 695 780]
label_predict: [  13  147  194  671  780  813 1092]
label_predict: [  13   51  111  147  480  483  501  573  737  738  776  813  830  923
 1046]
label_predict: [  55  131  147  189  671  768  780 1034]
label_predict: [  13   51  147  744  813  896  903 1092]
label_predict: [  13  483  501  737  738  776  813  830  923 1046]
label_predict: [  13  189  405  896  903 1092]
2052it [00:53, 39.32it/s]
label_predict: [ 121  147  188  189  597  671  744  813  835 1059 1092]
label_predict: [  51  147  156  189  259  420  733  813  835  993 1092]
label_predict: [  79  147  188  189  552  639  671  780 1034 1035]
label_predict: [  51   79  147  156  189  369  586 1039 1059]
label_predict: [ 147  156  189  477  485  603  607  671  695  780 1069]
label_predict: [  51  147  189  450  558  671  744  813  903 1059 1092]
label_predict: [  51  131  147  189  552  671  768  780 1034]
label_predict: [  79  147  188  189  369  477  518  552  639  671  780  925 1034]
label_predict: [121]
label_predict: [ 147  189  718  813  835 1092]
2067it [00:53, 43.60it/s]
label_predict: [ 13  51 147 189 552 671 780]
label_predict: [  13  147  189  744  813  896  903 1092]
label_predict: [ 194  404  744  813 1020 1046 1092 1099]
label_predict: [ 121  147  433  552 1039]
label_predict: [ 147  189  418  813  949 1092]
label_predict: [ 13  41  51 131 147 552 626 671 768 780]
label_predict: [  51   79  147  188  477  671  738  780  813 1046 1092]
label_predict: [ 51 147 189 552 671 780 813]
label_predict: [  70  147  189  259  418  733  738  800  813  835  993 1046 1092]
label_predict: [ 147  161  189  813  961 1092]
2073it [00:53, 45.66it/s]
label_predict: [  79  121  304  487 1059 1062]
label_predict: [  51  147  156  189  744  813  896  903 1092]
label_predict: [ 147  156  189  671  744  780  813  903 1092]
label_predict: [  13  147  405  813  896  903 1092]
label_predict: [  51  111  147  189  776  813 1046 1092]
label_predict: [ 13  14  41 131 147 552 626 671 768 780]
label_predict: [ 121  188  369  813 1034 1059]
label_predict: [ 483  737  738  776  813  830  931 1046 1092]
label_predict: [ 147  189  813  896 1092]
label_predict: [  13   51  147  552 1059]
2083it [00:53, 44.81it/s]
label_predict: [  79  147  156  189  482  497  498  813  961 1059 1092]
label_predict: [  79  121  194  239  487  813  844 1059 1062]
label_predict: [  79  194 1059]
label_predict: [ 13  14  41  51 127 147 552 626 671 768 780]
label_predict: [  51  147  189  744  813  835  903 1092]
label_predict: [ 147  189  306  744  811  813  896  903 1092]
label_predict: [  51   79  147  156  189  369  671  780 1059]
label_predict: [ 147  189  813  896  903 1092]
label_predict: [  51  147  189  552  671  780  950 1034]
label_predict: [ 147  189  369  436  671  780 1034]
2093it [00:53, 46.02it/s]
label_predict: [  51  147  156  369  532  671  813 1022 1059]
label_predict: [ 194  480  483  494  725  737  738  776  813  830  923 1046]
label_predict: [ 111  147  189  483  501  738  776  813 1046 1092]
label_predict: [  18   25  161  331  420  423  425  444  534  584  611  642  707  733
  734  738  751  758  797  800  813  953  974  993 1059 1062 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [  79  147  156  612  671  780  813 1046 1059 1092]
label_predict: [  79  147  156  189  420  671  738  813 1059 1092]
label_predict: [ 13 121 433 552]
label_predict: [  79  184  194  487  758 1059 1062]
label_predict: [  51  147  156  189  369  586  587  766  833 1020 1059 1084]
2103it [00:54, 46.76it/s]
label_predict: [  13   51  147  189  519  813 1092]
label_predict: [  13   51  111  147  189  483  738  776  813  830 1046]
label_predict: [ 121  180  189  482  497  498  718  728  813 1092]
label_predict: [ 483  501  737  738  813 1046]
label_predict: [ 121  147  813 1039 1059]
label_predict: [  51  111  147  189  738  776  813 1046 1092]
label_predict: [  79  121  147  189  194  498  671  813 1034]
label_predict: [ 147  189  430  434  501  559  738  813  835 1092]
label_predict: [  51  147  189  671  780 1046 1059]
2113it [00:54, 45.19it/s]
label_predict: [  13  405  896  903 1092]
label_predict: [  51   76  147  156  189  227  339  477  671  780  813  961 1046 1059
 1062 1092]
label_predict: [ 147  156  189  813  835 1092]
label_predict: [  79  147  156  189  194  369  477  612  671  744  780  813 1059]
label_predict: [  99  114  161  217  236  304  813 1061]
label_predict: [  13  404  405  896  903 1092]
label_predict: [ 121  188 1039 1059]
label_predict: [147 156 189 485 603 607 671 695 780]
label_predict: [ 147  189  369  744  813  903 1092]
label_predict: [  51   79  147  156  477  671  738  780  813 1046 1059 1092]
2123it [00:54, 44.61it/s]
label_predict: [ 121  184  962 1039 1059]
label_predict: [ 147  189  498  813  896  961 1092]
label_predict: [ 147  189  612  671  744  780  813  903 1092]
label_predict: [ 147  189  418  420  541  542  796  813  949 1072 1092]
label_predict: [  13  147  420  776  813 1046 1092]
label_predict: [  13  445  477  813  896  903 1092]
label_predict: [ 147  189  259  813  835 1092]
label_predict: [ 147  189  744  813  896  903 1092]
label_predict: [  13   51  147  189  501  738  813 1092]
label_predict: [  13   51  147  189  813  835 1092]
2133it [00:54, 45.78it/s]
label_predict: [  13   51  147  189  813  896  903 1092]
label_predict: [  13  147  369  587  766 1059 1084]
label_predict: [  13  405  813  896  903 1092]
label_predict: [ 147  156  189  369  813 1059 1084]
label_predict: [  13  404  405  896  903 1092]
label_predict: [ 147  189  369  552  597  671  780 1034]
label_predict: [  79  147  156  194  227  487  584  671  780  813 1059 1062 1092]
label_predict: [ 33 313 420 738 835 962]
label_predict: [ 13 147 552 626 671 780]
label_predict: [121 125 161 304 754 872 922 955]
2143it [00:55, 46.27it/s]
label_predict: [ 147  156  189  663  813  835 1092]
label_predict: [ 147  189  813  896  903 1092]
label_predict: [ 121  184  369  766 1039 1059]
label_predict: [ 147  189  800  813 1092]
label_predict: [ 121  369  726 1039 1059]
label_predict: [  79  121  147  194  671 1059]
label_predict: [  79  147  156  189  194  487  671  780  813 1059 1062 1092]
label_predict: [ 147  156  189  813 1046 1092]
label_predict: [  13  180  188  803  813 1092 1099]
2153it [00:55, 35.17it/s]
label_predict: [131 147 189 671 768 780]
label_predict: [  13  147  477  813  896 1092]
label_predict: [  51  147  188  813 1059]
label_predict: [  13  477  813  896 1092]
label_predict: [  79   99  194  354  489 1059]
label_predict: [  51  147  744  813  896  903 1092]
label_predict: [121 161 304 450 872 955]
label_predict: [  13  405  813  896  903 1092]
label_predict: [  79  147  156  189  671  813  903 1092]
label_predict: [  13  511  634  813  872  896  903 1092]
2164it [00:55, 41.07it/s]
label_predict: [  51   79  147  156  189  671  780  813 1059 1062 1092]
label_predict: [  51  147  156  189  671  813  903 1059 1092]
label_predict: [ 121  189  482  497  498  813  961 1092]
label_predict: [ 111  147  189  259  813  835 1092]
label_predict: [188 189 558 813]
label_predict: [  13   51  147  744  813  903  952 1046 1092]
label_predict: [  51  147  189  813  896 1092]
label_predict: [ 147  189  744  813  896 1092]
label_predict: [  51  147  156  369  671 1022 1059]
label_predict: [  79  189  194  369 1059]
2174it [00:55, 42.56it/s]
label_predict: [  51  147  189  430  434  501  559  621  649  738  747  813  871 1092]
label_predict: [ 147  189  477  671  780 1034 1035]
label_predict: [  51  147  189  671  780  813  835 1092]
label_predict: [  79  121  415  487  961 1059]
label_predict: [  51   79  147  188  189  477  671  744  780  813 1034 1059 1092]
label_predict: [ 131  147  189  671  768  780 1034]
label_predict: [  51  194  480  483  738  776  813  830 1046 1092]
label_predict: [  51  147  156  189  541  813  896 1092]
label_predict: [  13   14   51  147  552  626  671  780 1056]
label_predict: [ 147  189  744  813  896  903 1092]
2184it [00:56, 43.52it/s]
label_predict: [ 147  189  671  738  776  780  813 1034 1046 1092]
label_predict: [  51  147  194  671  744  780  813 1092]
label_predict: [121 161 304 634 754 872]
label_predict: [  13   14   51  147  552  626 1056]
label_predict: [147 189 369 558 671 744 780 813 903]
label_predict: [ 147  156  189  259  434  501  541  580  733  738  813  993 1092]
label_predict: [ 111  147  156  189  813 1046 1092]
label_predict: [  13   51  147  189  744  813  896  903 1092]
label_predict: [ 121  420  433  813 1059]
2190it [00:56, 45.29it/s]
label_predict: [  79  147  156  189  194  477  612  624  671  780 1059]
label_predict: [ 189  378  671  768 1034]
label_predict: [  99  121  161  304  464  493  634  754  840  872  922 1039]
label_predict: [ 147  189  418  541  813 1092]
label_predict: [ 147  189  744  813  903 1092]
label_predict: [ 147  156  189  259  418  541  663  796  813  835 1092]
label_predict: [  79  194  813  844 1059]
label_predict: [ 121  369  813 1039]
label_predict: [ 147  189  813  896 1092]
label_predict: [ 13  51 147 552 626]
2200it [00:56, 46.03it/s]
label_predict: [ 79 121]
label_predict: [ 147  189  813 1092]
label_predict: [ 147  188  189  194  552  671  780 1034]
label_predict: [147 313 420 738 813 835 962]
label_predict: [  13  147  813 1092]
label_predict: [  99  125  161  304  487  758  813 1059]
label_predict: [ 480  483  501  737  738  776  813  923 1046]
label_predict: [ 131  147  189  552  671  768  780 1034]
label_predict: [  79  194  487 1059 1062]
label_predict: [  51  111  147  156  189  259  733  813  835 1046 1092]
2210it [00:56, 46.76it/s]
label_predict: [ 147  189  306  744  811  813  896  903 1092]
label_predict: [ 194  369  498  813 1092]
label_predict: [  13   51  147  552  671  780  813 1092]
label_predict: [ 131  147  189  552  671  768  780 1034]
label_predict: [ 369  420 1059]
label_predict: [  13   14   51  147  552  626  671  780 1056]
label_predict: [  51  147  194  404  655  744  813 1020 1046 1092]
label_predict: [147 156 189 369 671 780]
label_predict: [147 156 189 485 603 607 671 695 768 780 999]
label_predict: [ 147  189  813  896 1092]
2221it [00:56, 46.97it/s]
label_predict: [ 147  615  813  896 1092]
label_predict: [  51   79  121  147  189  498  813 1059 1092]
label_predict: [  13  776  813  830  896 1046 1092]
label_predict: [ 483  738  813 1046 1092]
label_predict: [ 121  718  813 1059]
label_predict: [  79  194  487 1059 1062]
label_predict: [ 13  51 147 369 655 671 675 780 978]
label_predict: [ 147  156  189  259  418  541  542  813  949 1046 1072 1092]
label_predict: [  79  147  189  420  477  671  738  780  813  835 1059]
label_predict: [ 13 121 182 754]
2231it [00:57, 46.62it/s]
label_predict: [ 121  369 1039]
label_predict: [ 184  189  369  436 1039 1059]
label_predict: [  13   51  147  404  698  813  896 1092]
label_predict: [ 188  189  369  813 1034]
label_predict: [  79  194  369  671  780  813 1024 1092 1099]
label_predict: [  13   51  147  698  813  896  952 1092]
label_predict: [  13  147  189  671  813 1092]
label_predict: [  51   79  111  147  156  189  212  227  477  515  584  671  780  813
 1059 1062 1092]
label_predict: [ 813 1046 1092]
label_predict: [615 813 896]
2241it [00:57, 43.81it/s]
label_predict: [ 147  189  671  780 1034]
label_predict: [  9  33  99 313 420 738 813 835 962]
label_predict: [  51   79  147  189  212  813 1059]
label_predict: [  79  194  487 1059 1062]
label_predict: [ 147  188  189  369  612  671  780 1059]
label_predict: [  13   51  147  477  671  780  813 1046 1092]
label_predict: [  13   51  111  147  480  483  737  738  776  813  830  923 1046 1092]
label_predict: [ 147  369  436  720  744  813  903 1092]
label_predict: [ 194  369  436  766 1039 1059]
2251it [00:57, 44.48it/s]
label_predict: [  51   79  147  189  369  498  671  813 1059 1062 1092]
label_predict: [  99  121  184  304  369  493 1039 1059]
label_predict: [ 121  369 1039 1059]
label_predict: [  79  147  189  671  780 1034]
label_predict: [  51  147  189  477  612  671  780 1059]
label_predict: [  13   51  147  519  813 1092]
label_predict: [  13  147  189  335  501  738  813 1046 1092]
label_predict: [147 189 369 552 671 780]
label_predict: [  79  147  156  194  227  477  489  584  612  671  780  954 1030 1059]
label_predict: [  79  147  189  194  450  461  477  576  624  639  671  780 1059]
2261it [00:57, 44.97it/s]
label_predict: [ 121  369 1039 1059]
label_predict: [ 813  896 1092]
label_predict: [ 147  156  189  259  418  541  542  796  813  835  949 1072 1092]
label_predict: [ 51 147 189 434 813]
label_predict: [  67  127  156  171  223  245  289  300  337  344  368  369  587  726
  766 1020 1039 1059 1084]
label_predict: [ 147  156  189  227  813  961 1092]
label_predict: [ 99 161 304 331 718 774 813]
label_predict: [  79  147  156  189  477  671  780 1034 1035]
label_predict: [ 147  156  189  744  813  896 1092]
label_predict: [  51  147  156  489  584  671  746  780 1059]
2271it [00:57, 46.98it/s]
label_predict: [ 194  404  655  744  813 1020 1092 1099]
label_predict: [  51  147  189  552  671  780 1034 1035]
label_predict: [121 433 520 724 813 955 962]
label_predict: [ 194  813  844  961 1092]
label_predict: [  99  121  125  161  304  487 1059]
label_predict: [  13   14   51  147  552  626  671  780 1056]
label_predict: [  79  147  156  189  369  477  489  612  671  780 1059]
label_predict: [ 147  189  418  541  800  813  835  949 1092]
label_predict: [ 180  188  428  434  615  744  803  813 1092 1099]
label_predict: [  13   51  147  744  813  896  903  952 1092]
2281it [00:58, 46.86it/s]
label_predict: [  13  147  156  189  813 1092]
label_predict: [ 147  189  259  418  541  542  738  800  813  835  949 1046 1072 1092]
label_predict: [ 369  716  754 1039 1059]
label_predict: [ 147  189  482  497  498  813  961 1092]
label_predict: [  13  147  744  813  896  903 1092]
label_predict: [ 111  147  189  738  776  813 1046 1092]
label_predict: [  13  194  404  445  655  813  896  903 1092]
label_predict: [ 483  501  737  738  776  813  830  931 1046]
label_predict: [ 147  156  189  259  418  541  542  813  835  949 1072 1092]
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2286it [00:58, 47.43it/s]
label_predict: [  79  194  477  671  780  813 1034 1059]
label_predict: [ 147  156  189  744  813 1092]
label_predict: [  51  147  189  369  554  558  612  744  813  903 1092]
label_predict: [ 131  147  189  378  671  768  780 1034]
label_predict: [ 13  51 147 552 626 671 780]
2296it [00:58, 38.54it/s]
label_predict: [ 147  188  189  671  813 1092]
label_predict: [ 121  194  813 1092]
label_predict: [  51  147  156  189  212  369  515  671  780 1059]
label_predict: [  51  147  189  813  835 1092]
label_predict: [  13  147  189  744  813  896  903 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [  13   51  147  552  626 1056]
label_predict: [147 156 189 485 603 671 695 780]
label_predict: [ 121  369  433 1039 1059]
label_predict: [ 13  14  51 147 552 716]
2307it [00:58, 43.49it/s]
label_predict: [  25   79  161  487  813 1059 1062 1092]
label_predict: [  79   99  194  489 1059]
label_predict: [ 147  189  304  744  813  903 1092]
label_predict: [  99  121  718  813  896  961 1092]
label_predict: [147 156 189 485 603 671 695 780]
label_predict: [ 147  189  418  813  835 1092]
label_predict: [ 121  161  304  369  464  495  634  872 1039]
label_predict: [  79  147  156  189  420  477  671  780  813  835 1046 1059 1092]
label_predict: [ 13  14 147 552 626 671 780]
label_predict: [ 147  369  436  720  813 1019 1059]
label_predict: [  13  147  813  896  903 1092]
2319it [00:59, 46.95it/s]
label_predict: [ 121  184  313  415  487  833  962 1039 1059]
label_predict: [  13   51  147  194  477  671  780  813 1092]
label_predict: [  51   79  147  156  212  227  339  477  584  671  780  813 1046 1059
 1062 1092]
label_predict: [ 111  147  189  813 1092]
label_predict: [  13   14   51  147  552  626  671  780 1056]
label_predict: [  51  147  156  189  671 1059]
label_predict: [  51  147  189  813  896  961 1092]
label_predict: [ 111  147  156  189  259  418  541  796  813  949 1092]
label_predict: [ 121  188  432  582  724 1023 1059]
label_predict: [  79  147  189  671  780 1034]
2329it [00:59, 45.82it/s]
label_predict: [ 147  189  813 1059 1092]
label_predict: [  79  147  194  477  671  780 1046 1099]
label_predict: [  51  194  404  744  813 1092 1099]
label_predict: [615 813 896]
label_predict: [  51  147  189  369  586  833  884 1020 1039 1059]
label_predict: [  13   51  147  189  813 1092]
label_predict: [  51  147  189  813 1046 1092]
label_predict: [ 79 369 438 726]
label_predict: [ 147  189  718  813  896  903 1092]
label_predict: [182 184 194 313 420 754 962]
2334it [00:59, 45.69it/s]
label_predict: [  70  147  189  663  800  813  835 1092]
label_predict: [ 13 147 813]
label_predict: [121 813]
label_predict: [  79  147  813 1059]
label_predict: [  79  147  189  194  671  780 1059]
label_predict: [ 147  189  418  541  813  949 1092]
label_predict: [ 121  813 1046 1092]
label_predict: [  51  111  147  189  744  813  903 1092]
label_predict: [ 33 420 738 962]
2344it [00:59, 43.13it/s]
label_predict: [ 369  586  587  672  766  833  884 1039]
label_predict: [  13  147  156  189  671  780  813 1092]
label_predict: [147 156 189 477 485 603 671 780]
label_predict: [ 147  156  189  541  813  835 1092]
label_predict: [  79  121  813 1059]
label_predict: [  79  184  487 1059 1062]
label_predict: [  51  147  189  306  744  813  889  903 1092]
label_predict: [ 147  189  552  655  671  813 1092]
label_predict: [  51   99  121  212  304  813 1059]
label_predict: [ 33 313 420 738 962]
2354it [00:59, 44.77it/s]
label_predict: [ 121  487 1039 1059]
label_predict: [  79  147  194  671  738  776  813  830 1046 1092]
label_predict: [  51  147  156  189  369  587 1059]
label_predict: [  79  147  156  189  194  813  961 1092]
label_predict: [  13  404  405  896  903 1092]
label_predict: [  79  147  156  194  671  780  813 1046 1059 1092]
label_predict: [  79  188  189  518  552  639  671  780 1034 1035]
label_predict: [  79  121  184  194  487 1059]
label_predict: [ 147  156  189  541  813 1092]
label_predict: [  51  111  147  189  420  483  737  738  776  813 1046 1092]
2359it [00:59, 45.48it/s]
label_predict: [ 121  433 1059]
label_predict: [ 121  369  833  884 1039]
label_predict: [  13   51   70  147  189  813 1092]
label_predict: [ 121  194  415 1039]
2370it [01:00, 38.12it/s]
label_predict: [  13  147  189  813  896 1092]
label_predict: [ 33  99 420 738 835 955 962]
label_predict: [  79  147  156  189  671  813 1046 1059 1092]
label_predict: [ 121  433  724 1039]
label_predict: [  51   79  147  156  487  671  780  813 1059 1062 1092]
label_predict: [ 184  188  369  647  720 1059]
label_predict: [188 189 369 489 597 612 671 780]
label_predict: [  99  161  304  718  813  961 1092]
label_predict: [ 121  718  813 1059 1092]
label_predict: [ 13  51 147 552 716 780]
2380it [01:00, 42.35it/s]
label_predict: [  51  147  156  189  671  780  813 1059 1092]
label_predict: [  51  111  147  189  430  434  501  559  738  813 1046 1092]
label_predict: [ 121  147  369  433 1059]
label_predict: [ 147  156  189  259  418  541  542  813  835  949 1072 1092]
label_predict: [ 483  494  501  737  738  813  830  931 1046]
label_predict: [  51  147  189  813 1092]
label_predict: [ 147  156  189  418  541  542  796  813  835  949 1072 1092]
label_predict: [ 483  738  776  813  830 1046]
label_predict: [  51  147  480  483  737  738  776  813  830  923 1046 1092]
label_predict: [ 147  156  332  541  542  813  949 1072 1092]
2391it [01:00, 42.33it/s]
label_predict: [ 131  147  155  189  378  671  768  780 1034]
label_predict: [ 434  483  501  545  737  738  813  931 1046]
label_predict: [ 147  156  189  369  477  671  780  813 1092]
label_predict: [  79  147  194  369  552  671  780 1059]
label_predict: [ 147  369  436  720  744  813  896  903 1019]
label_predict: [  13   51  147  189  718  744  813  896  903 1092]
label_predict: [  51   79  147  487  671  780  813 1092]
label_predict: [  51  121  147  433  724  813 1059 1092]
label_predict: [  51  147  189  744  813  896  903 1092]
label_predict: [ 147  189  420  813 1092]
label_predict: [  13  147  813  896  903 1092]
2402it [01:00, 44.83it/s]
label_predict: [  79  487  758 1059 1062]
label_predict: [121 194 415 844]
label_predict: [  79  147  189  477  671  780 1034 1035]
label_predict: [121 189 204 304 813 872]
label_predict: [  79  184  188  369  436  487 1059]
label_predict: [  51  147  189  212  304  489  584  671  813 1059]
label_predict: [  79  147  184  194  369  489  584 1059]
label_predict: [121 147 189 433 718 813]
label_predict: [  13  404  813  896 1092]
label_predict: [ 615  813  896 1092]
2412it [01:01, 44.22it/s]
label_predict: [  13  147  813  896 1092]
label_predict: [ 188  489  612 1059]
label_predict: [  13   51  147  552  626  671  716  780 1092]
label_predict: [ 147  156  189  259  418  541  542  813  835  949 1020 1072 1084 1092]
label_predict: [ 156  189  259  420  541  663  800  813  835  993 1084 1092]
label_predict: [  79  487  671 1059 1062]
label_predict: [  51  147  434  813 1092]
label_predict: [ 121  147  189  552  671  768  780 1034 1035]
label_predict: [  79  121  184  194 1059]
2417it [01:01, 43.21it/s]
label_predict: [ 13 477 813]
label_predict: [ 194  671  780 1034 1046]
label_predict: [  51  147  188  189  194  477  671  780 1034]
label_predict: [  13   51  111  147  189  483  738  776  813 1046 1092]
label_predict: [  51   79  147  156  189  369  477  671  780  813 1059]
label_predict: [ 13 131 147 189 552 671 768 780]
label_predict: [ 147  156  189  744  813 1092]
label_predict: [  79  147  188  518  639  671  780 1034]
label_predict: [  25  161  332  369  813 1019 1059 1092]
2428it [01:01, 45.88it/s]
label_predict: [  51  147  156  189  813  961 1092]
label_predict: [  99  121  304  718  813 1092]
label_predict: [  25   99  161  304  331  487  758  813  961 1059 1092]
label_predict: [ 147  189  477  639  671  780  813 1034 1092]
label_predict: [  51  147  189  615  744  813  896  903 1092]
label_predict: [ 125  161  192  304  369  495 1039 1059]
label_predict: [  51  147  156  189  671  813 1092]
label_predict: [  99  121  432  433  724 1059]
label_predict: [  13  147  189  335  813 1092]
label_predict: [  18   25   61  161  304  331  487  489  584  758  813 1059 1062]
label_predict: [ 147  156  189  477  485  603  607  671  780 1069]
2438it [01:01, 45.83it/s]
label_predict: [ 111  147  156  189  738  813 1046 1092]
label_predict: [121 147 189 433 671 744 780]
label_predict: [ 231  369  489 1039 1059]
label_predict: [ 194  477  671  780  813 1059 1092]
label_predict: [  51  147  189  813  835 1092]
label_predict: [  79  369  726 1039 1084]
label_predict: [121 415 724 922 955 962]
label_predict: [ 147  156  189  259  541  663  800  813  835 1092]
label_predict: [  79  194  487  671 1059 1062]
label_predict: [  79  147  189  369  639  671  780 1034 1035]
2448it [01:01, 47.38it/s]
label_predict: [ 147  156  189  541  542  813  835  949  993 1092]
label_predict: [ 147  189  430  434  559  813  835 1092]
label_predict: [  13  405  813  896  903 1092]
label_predict: [  13  147  189  813  896 1092]
label_predict: [  79  147  188  189  552  671  780 1034]
label_predict: [  51  147  156  161  189  671  813 1059 1092]
label_predict: [  51  369  671  813 1059 1092]
label_predict: [ 147  156  189  335  418  420  541  542  671  733  738  813 1046 1092]
label_predict: [  79  147  189  369  671  780 1034]
label_predict: [ 161  194  304  487  813  961 1059]
2459it [01:02, 42.63it/s]
label_predict: [ 194  477  485  671  738  744  813  890 1046 1092 1099]
label_predict: [  13  194  332  404  477  655  671  688  780  813  888  978 1092]
label_predict: [ 147  156  189  259  418  541  542  579  663  796  800  813  835  949
 1072 1092]
label_predict: [  13   51  147  188  744  813 1092 1099]
label_predict: [ 131  147  189  378  671  768  780 1034]
label_predict: [  79  121  147  369  671  780 1059]
label_predict: [ 147  189  418  541  542  796  813  949 1092]
label_predict: [  51  147  156  189  212  283  515  554  628  671  746  780  813 1059]
2469it [01:02, 44.48it/s]
label_predict: [ 147  189  813  835 1092]
label_predict: [  51  147  189  597 1092]
label_predict: [  51  147  194  738  813 1046 1092]
label_predict: [147 189 369]
label_predict: [  99  121  161  304  487  758 1059]
label_predict: [  79  147  156  189  671  813 1059 1092]
label_predict: [  13   51  111  147  189  483  738  813 1046 1092]
label_predict: [ 147 1059]
label_predict: [  13  147  813  896  903 1092]
label_predict: [ 718  813  896 1092]
2474it [01:02, 43.75it/s]
label_predict: [  51  147  188  189  477  489  612  671  780  813 1092]
label_predict: [ 121  433  724 1039]
label_predict: [  33  121  420  582  962 1023]
label_predict: [ 121  147  189  369  671  780 1034]
label_predict: [  13   51  111  147  738  776  813 1046 1092]
label_predict: [  79  147  189  671  780 1034]
label_predict: [ 111  147  189  259  813  835 1046 1092]
label_predict: [ 147  189  813  896 1092]
2484it [01:02, 43.70it/s]
label_predict: [ 121  147  188  189  597  671  813 1034 1092]
label_predict: [182 369 754]
label_predict: [  51  147  194  404  655  744  813 1046 1092]
label_predict: [ 147  156  189  259  418  541  542  579  813  949 1072 1092]
label_predict: [ 161  304  331  489  584 1059]
label_predict: [  51  111  147  189  483  738  776  813 1046 1092]
label_predict: [ 147  189  671  744  813  903 1092]
label_predict: [  51  147  189  813  835 1092]
label_predict: [ 188  231  464  507  813 1039]
label_predict: [ 13  51 121 147 552]
2494it [01:03, 44.50it/s]
label_predict: [  79  147  156  194  671  780 1059]
label_predict: [  79  147  189  671  780 1034 1035]
label_predict: [ 13  14  41 127 147 552 626 671 768 780]
label_predict: [  13   51  111  147  480  483  725  737  738  776  830  923 1046]
label_predict: [  79  147  156  487  671  780 1059 1062]
label_predict: [ 304  487 1059]
label_predict: [ 147  189  813  835 1092]
label_predict: [ 121  147  194  369  436  813 1059]
label_predict: [ 147  156  189  813 1092]
2504it [01:03, 44.08it/s]
label_predict: [ 79 147 188 189 477 597 671 780 813]
label_predict: [  79  147  156  189  671  813 1046 1092]
label_predict: [  13   51  147  194  404  744  813 1092]
label_predict: [  79  147  189  813 1046 1092]
label_predict: [  51  147  156  189  212  283  671  780  813 1059 1092]
label_predict: [ 13  79 147]
label_predict: [  13   51  147  189  813  896  903 1046 1092]
label_predict: [  13   51  147  194  671  780  813 1092]
label_predict: [  79  147  194  671  780  813 1092]
2515it [01:03, 41.26it/s]
label_predict: [ 194  404  813 1020 1092]
label_predict: [  79  369  438 1039]
label_predict: [ 147  404  698  747  813  896 1092]
label_predict: [  51  147  189  612  744  813  903 1092]
label_predict: [  79  184  249  313  489  584 1059]
label_predict: [  99  121  161  304  718  813  961 1059 1092]
label_predict: [  99  121  433 1059]
label_predict: [  79  194  487  489  671  780 1059 1062]
label_predict: [  13   51  147  189  671  813 1092]
label_predict: [ 147  156  189  259  418  541  800  813  835 1092]
label_predict: [  13   51  147  189  813 1046 1092]
2526it [01:03, 44.92it/s]
label_predict: [  79  194  477  671  780 1034 1046]
label_predict: [121 147 464 634 671 872]
label_predict: [  79  147  156  189  813 1059 1092]
label_predict: [  79  125  161  194  304  487  758 1059 1062]
label_predict: [ 147  189  259  418  541  663  796  800  813  835  949  993 1072 1092]
label_predict: [  13   14   51  147  552  626  716  813  896 1092]
label_predict: [ 147  156  189  418  541  813 1046 1092]
label_predict: [  99  121  420  433  718  813 1092]
label_predict: [ 147  189  335  718  813  903 1092]
label_predict: [  79  147  188  189  518  671  780 1034 1035]
2536it [01:04, 43.98it/s]
label_predict: [ 121  189  482  497  498  718  813  961 1092]
label_predict: [  99  189  482  497  498  718  813  896  961 1092]
label_predict: [ 813  896 1092]
label_predict: [  51  147  156  189  212  489  584  671 1059]
label_predict: [  13  147  813  896 1092]
label_predict: [  99  125  161  192  204  304  495  634 1039]
label_predict: [  13  111  147  156  189  671  738  780  813 1034 1046]
label_predict: [  13   51  147  156  189  227  813  896  961 1092]
label_predict: [  79  147  156  189  477  671  780  813 1046]
2541it [01:04, 43.72it/s]
label_predict: [ 147  156  188  189  485  615  744  803  813 1099]
label_predict: [ 147  156  189  477  485  603  671  780  813  835 1069]
label_predict: [147 156 189 477 485 603 671 780 813 835]
label_predict: [  13  147  189  430  434  501  559  738  813 1092]
label_predict: [ 147  156  189  813  896 1092]
label_predict: [  51  147  156  194  227  477  489  584  612  671  780  813  954 1030
 1059 1092]
label_predict: [  99  147  189  718  813  961 1092]
label_predict: [ 116  121  304  465  487  735  748  758  955 1059]
label_predict: [147 194 552 671]
label_predict: [  51   79  147  156  477  487  671  780  813 1059 1062 1092]
2553it [01:04, 47.13it/s]
label_predict: [ 147  189  744  813  896  903  962 1092]
label_predict: [  99  161  236  304  489  774 1059]
label_predict: [  99  718  813  961 1092]
label_predict: [  79  194  465  487  584 1059 1062]
label_predict: [  79  147  189  194  671  780  813 1046 1092]
label_predict: [  51  147  189  733  813  993 1046 1092]
label_predict: [  79  184  194  487  584  758 1059 1062]
label_predict: [  13   14   51  147  552  626  976 1056]
label_predict: [ 99 121 125 161 204 304 415 464 634 872]
label_predict: [  51   79  121  189 1059]
label_predict: [ 304  487  758 1059]
2564it [01:04, 47.91it/s]
label_predict: [  51   79  147  156  189  671  780  813 1046 1059 1062 1092]
label_predict: [147 156 189 485 603 607 671 695 780 999]
label_predict: [  51  147  156  584  813 1059]
label_predict: [121 464 922]
label_predict: [ 180  188  615  750  803  813 1099]
label_predict: [116 121 161 285 369 415 450 464 634 682 684 738 754 813 872 889 955 961]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [ 147  189  552  671  768  780 1034]
label_predict: [ 121  188 1039 1059]
2574it [01:04, 42.06it/s]
label_predict: [ 147  156  189  813 1059 1092]
label_predict: [147 189 552 671 768 780]
label_predict: [  13  147  189  420  477  671  776  780  813 1046 1092]
label_predict: [  79  194  477  671  738  776  780  813 1034 1046 1059 1092 1099]
label_predict: [121 147 156 189 369 552 597 671 684 738 754 780 872]
label_predict: [  79  121  147 1039 1059]
label_predict: [ 121  189  304  498  718  813  961 1092]
label_predict: [ 188  507  718  813 1059]
2584it [01:05, 45.03it/s]
label_predict: [ 147  615  813  896 1092]
label_predict: [  79  194  489  671  780 1059]
label_predict: [  99  161  304  489  774 1059]
label_predict: [  25  161  194  304  487  584  758  813 1059 1092]
label_predict: [  51  147  156  189  227  339  813  961 1059 1092]
label_predict: [  51  147  156  189  485  603  671  780  813 1092]
label_predict: [  13  147  655  813  896 1092]
label_predict: [ 147  189  554  744  811  813  896  903 1092]
label_predict: [  51  147  156  189  813  835 1046 1092]
label_predict: [  13   51  147  813  896 1092]
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2594it [01:05, 46.13it/s]
label_predict: [ 147  189  418  800  813  835 1092]
label_predict: [ 121  415  432  433  520  724 1039]
label_predict: [  51  147  188  189  744  813 1092 1099]
label_predict: [ 161  189  718  813  872  961 1092]
label_predict: [  79  280  369 1059 1061]
label_predict: [  13   51  147  189  813 1092]
label_predict: [121 161 204 304]
label_predict: [ 194  813  844 1092]
label_predict: [  79  121  147  188  189  194  671 1034 1059]
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2605it [01:05, 47.08it/s]
label_predict: [ 121  415  464 1039]
label_predict: [ 147  554  744  813  896  903 1092]
label_predict: [ 13  51 147 552 626 671 780]
label_predict: [ 480  483  501  737  738  776  813 1046]
label_predict: [  79  147  189  477  639  671  780 1034 1035 1046]
label_predict: [ 147  189  738  813 1046 1092]
label_predict: [147 156 189 485 603 671 780]
label_predict: [ 121  362  369  650  718  724  735  809  813 1023 1059 1092]
label_predict: [ 147  156  189  813 1092]
label_predict: [  13  147  813  896  903 1092]
2610it [01:05, 45.65it/s]
label_predict: [ 147  156  189  498  813  961 1092]
label_predict: [  79  147  189  194  612  671  744  780  813  903 1092]
label_predict: [ 147  189  671  780 1034]
label_predict: [ 111  147  156  189  259  418  541  813  835 1046 1092]
label_predict: [  79  147  189  552  639  671  780  925 1034]
label_predict: [ 147  189  671  780 1034]
label_predict: [ 96 161 236 304 813 900 962]
2620it [01:05, 40.92it/s]
label_predict: [ 131  147  189  378  671  768  780 1034]
label_predict: [  18   25   61  161  304  331  489  584  758  813 1059]
label_predict: [ 483  494  737  738  776  813  830 1046 1092]
label_predict: [ 147  194  744  813  903 1092]
label_predict: [ 125  161  189  204  304 1059]
label_predict: [ 121  369 1039]
label_predict: [ 147  156  189  259  541  813  835 1092]
label_predict: [ 189  369 1059]
label_predict: [ 147  189  671  768  780 1034]
label_predict: [ 194  404  744  813 1020 1092 1099]
2630it [01:06, 42.60it/s]
label_predict: [ 51 147 189 434 813]
label_predict: [  51  147  189  194  485  671  744  780  813 1092 1099]
label_predict: [ 111  147  189  480  483  501  737  738  776  813  923 1046]
label_predict: [  51  147  156  189  515  584  628  813 1059 1092]
label_predict: [121 420 962]
label_predict: [  51   79  147  188  189  369  489  612  671  780  813 1059]
label_predict: [  79  194  477  483  671  737  738  776  780  830 1046]
label_predict: [  79  147  189  671  780  813 1034 1046 1092]
label_predict: [  13   51  147  813 1092]
label_predict: [ 121  147  156  189  482  497  498  813  949  961 1092]
2640it [01:06, 44.48it/s]
label_predict: [121 420 738 813 835 962]
label_predict: [  79  156  194  813 1059 1092]
label_predict: [ 131  147  189  552  671  768  780 1034]
label_predict: [ 121  415  464  955  962 1039]
label_predict: [  13   51  147  655  813 1059 1092]
label_predict: [ 147  156  189  259  418  541  800  813  835 1092]
label_predict: [  51  111  147  189  738  813 1046 1092]
label_predict: [  51  121  161  189  813 1059 1062]
label_predict: [  13   51  147  189  813 1046 1092]
label_predict: [121 147 433 724]
2650it [01:06, 44.29it/s]
label_predict: [  51   58  147  188  189  369  428  558  597  671  744  813 1059]
label_predict: [ 147  189  418  541  800  813  835  949 1092]
label_predict: [  51  111  147  189  480  483  737  738  776  813 1046 1092]
label_predict: [  13  420  813 1092]
label_predict: [  51   79  147  156  189  624  671  738  744  780  813  925 1059]
label_predict: [  51  147  189  738  813 1046 1092]
label_predict: [ 147  156  189  541  813  949 1092]
label_predict: [  51   79  147  156  189  194  227  369  477  489  584  612  655  671
  780  813  954 1046 1059 1092]
label_predict: [  51  147  189  813 1046 1092]
2660it [01:06, 46.47it/s]
label_predict: [  13  147  189  813  896 1092]
label_predict: [ 121  415  433  464  724 1039]
label_predict: [  79  147  156  189  477  671  738  780  813  835 1046 1092]
label_predict: [ 13  51 147 552 671 780]
label_predict: [ 121  161  189  304  718  813 1092]
label_predict: [  67  156  189  223  245  300  337  344  355  368  369  587  726  766
 1020 1059 1084]
label_predict: [  51  189  482  497  498  813  961 1059 1092]
label_predict: [  13   51   79  147  483  737  738  776  813  830  923 1046]
label_predict: [  13   14  147  552  626 1056]
label_predict: [  51  147  189  335  813  835 1092]
2670it [01:06, 46.99it/s]
label_predict: [ 147  156  189  813  835 1092]
label_predict: [ 51 147 189 615 744 813]
label_predict: [  79  147  194  477  671  738  776  813 1046 1092 1099]
label_predict: [  79  194  369  489 1059]
label_predict: [  99  121  718  813 1059 1092]
label_predict: [ 147  156  189  259  418  541  542  813  835 1046 1072 1092]
label_predict: [ 188  231  369  464  507 1039 1059 1085]
label_predict: [  51  147  189  420  738  813 1046 1092]
label_predict: [  79  188  518  639  671  780 1034]
label_predict: [  13  147  156  813  872  896  903 1092]
2680it [01:07, 47.47it/s]
label_predict: [ 147  156  189  259  418  541  542  813  949 1072 1092]
label_predict: [  13  147  189  813 1092]
label_predict: [  13  121  813 1092]
label_predict: [121 304 464 872]
label_predict: [ 147  189  420  738  776  813 1046 1092]
label_predict: [  79  194  489  584 1059]
label_predict: [  99  121  125  161  304 1039]
label_predict: [ 147  156  189  541  813  835 1092]
label_predict: [  51  147  156  369 1059]
label_predict: [  13   51  147  483  776  813 1046 1092]
2690it [01:07, 46.13it/s]
label_predict: [ 111  147  189  813  896 1092]
label_predict: [ 161  194  813 1059 1092]
label_predict: [  79  194  489  584  624  671  780 1059 1062]
label_predict: [ 121  147  369  552  671  780 1059]
label_predict: [  13   51  147  189  718  813  896  903 1092]
label_predict: [ 483  737  738  776  813  830 1046 1092]
label_predict: [  79  147  188  671  780  813 1034 1092]
label_predict: [  51  147  156  189  498  720  813  961 1092]
label_predict: [  51  121  147  188  369  434  724  813 1059 1099]
label_predict: [  79  121  147  189  498  671  813 1059 1092]
2700it [01:07, 47.14it/s]
label_predict: [ 111  147  189  813 1046 1092]
label_predict: [  79  194  487 1059 1062]
label_predict: [  79  125  161  304  487 1059 1062]
label_predict: [ 188  489 1059]
label_predict: [121 194 415 487 684 735]
label_predict: [ 147  189  718  813  896 1092]
label_predict: [  13   51  147  189  813  896  903 1092]
label_predict: [  13   51  147  156  189  335  420  501  733  738  813 1046 1092]
label_predict: [121 304 464 634 813 872]
label_predict: [ 13  51 147 552 555 626 671 780]
2710it [01:07, 45.37it/s]
label_predict: [  13   79  147  194  813 1092]
label_predict: [ 147  156  189  259  418  541  542  579  813  949 1020 1072 1092]
label_predict: [  51  147  813 1059 1092]
label_predict: [  25  161  194  420  489  584  813 1059 1092]
label_predict: [  79  189  487  813 1059 1062]
label_predict: [  51  147  369  489  744 1059]
label_predict: [  13   51  147  156  477  671  780  813 1046 1092]
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label_predict: [  13  477  554  670  693  729  746  813  896 1092]
label_predict: [ 147  189  501  738  744  813 1092]
2721it [01:08, 45.28it/s]
label_predict: [  51  147  189  663  718  813  903 1092]
label_predict: [  79  147  156  189  498  813  961 1059 1092]
label_predict: [  13   51  147  744  813  896  903 1092]
label_predict: [ 79 147 156 194 369 477 489 612 671 780 954]
label_predict: [ 51 147 156 189 477 485 603 671 695 780 999]
label_predict: [  13  121  147  182  189  420  552  671  754  780 1059]
label_predict: [  18   25   51   61   99  125  161  304  331  487  489  584  612  647
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label_predict: [ 147  156  189  259  418  541  542  579  796  813  896  949 1072 1092]
label_predict: [  79  188  194  477  498  671  780  813 1046 1059 1092 1099]
label_predict: [ 99 125 161 304 464 634 754 813 872 922]
2731it [01:08, 46.26it/s]
label_predict: [ 51 147 189 671 813]
label_predict: [  13  404  405  813  896  903 1092]
label_predict: [  99  121  147  493  634  754  840  922 1059]
label_predict: [  51   76   79  147  156  227  339  671  780  813  961 1059 1062 1092]
label_predict: [  13  147  480  483  501  519  737  738  813 1046]
label_predict: [ 121  483  738  830 1046]
label_predict: [  79  111  147  189  477  639  671  780  813  950 1034 1035 1046 1059]
label_predict: [  51  147  156  189  584  671 1059]
label_predict: [ 147  189  418  813  949 1092]
label_predict: [  13   51  147  189  813 1046 1092]
2736it [01:08, 46.14it/s]
label_predict: [  99  121  161  304  774  813 1061]
label_predict: [  51  147  189  671  780  813 1092]
label_predict: [  13   51  111  147  189  480  483  501  737  738  776  813  923  931
  975 1046]
label_predict: [ 121  147  189  369  552  555  626  671  780 1034]
label_predict: [  13  813 1092]
label_predict: [  79  147  194  489  671 1059]
label_predict: [  99  147  189  718  813  896  961 1092]
label_predict: [ 147  156  332  541  744  813 1092]
label_predict: [ 111  147  189  418  671  780  813 1046 1092]
label_predict: [  99  121  369  436  813 1059]
2747it [01:08, 44.90it/s]
label_predict: [  99  161  304 1059]
label_predict: [ 147  189  813 1046 1092]
label_predict: [  51   99  212  304  369  489  612 1059]
label_predict: [ 121  147  156  189  738  813 1092]
label_predict: [ 147  189  369  597  671  780 1034 1035]
label_predict: [  79  147  189  194  671  780  813 1034 1046 1092]
label_predict: [121]
label_predict: [  51  147  189  813 1092]
label_predict: [ 13 147 552 671 780]
2757it [01:08, 42.26it/s]
label_predict: [ 13  51 121 147 433 552]
label_predict: [  79  147  156  194  671  780 1059 1062]
label_predict: [ 483  501  737  738  776  813  931 1046]
label_predict: [ 147  189  671  768 1034]
label_predict: [ 147  156  189  671 1059]
label_predict: [ 147  420  738  813 1046 1092]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [  79  194  487  489  584 1059 1062]
label_predict: [ 121  369  464  754 1039]
2767it [01:09, 44.40it/s]
label_predict: [  13  404  405  896 1092]
label_predict: [ 111  147  189  483  738  813 1046 1092]
label_predict: [  51   79  147  194  813 1059 1092]
label_predict: [  79   99  121  354  369 1059]
label_predict: [ 147  156  465  584 1059]
label_predict: [ 111  147  189  480  483  501  737  738  776  813  923 1046]
label_predict: [ 147  189  663  800  813  835 1046 1092]
label_predict: [  79  184  313  489  584 1039 1059]
label_predict: [  51  147  156  189  430  434  501  559  738  813 1046 1092]
label_predict: [ 184  304  369 1039]
2777it [01:09, 44.71it/s]
label_predict: [ 147  189  335  477  639  671  780 1034 1035]
label_predict: [ 147  156  194  369  420  477  655  671  780  813  844 1059 1092]
label_predict: [ 147  189  259  418  738  800  813  835 1046 1092]
label_predict: [  79  147  194  477  671  780  813 1034 1046]
label_predict: [  79  194  477  487  671  780  813 1059 1062]
label_predict: [  13  147  738  813 1046 1092]
label_predict: [  79  147  189  369  671  780  925 1034]
label_predict: [ 121  147  189  420  813 1046 1092]
label_predict: [ 147  189  418  813  835 1092]
label_predict: [161 304 420 464 634 754 872 962]
2788it [01:09, 45.29it/s]
label_predict: [  79  184  188  313  489 1039 1059]
label_predict: [  99  121  161  304  718  813  961 1092]
label_predict: [ 111  147  483  738  776  813 1046 1092]
label_predict: [  13   51  147  671  744  813 1092]
label_predict: [  51   79  121  189  194  498  671  813 1059]
label_predict: [  79  147  189  671  738  813 1059 1092]
label_predict: [  13   79  194  487  671  780 1059 1062]
label_predict: [ 121  369  489 1039 1059]
label_predict: [ 480  483  501  737  738  776  830  923 1046]
label_predict: [  13  813  896 1092]
2798it [01:09, 45.21it/s]
label_predict: [  79  111  147  156  189  477  671  738  780  813 1046 1092]
label_predict: [ 121  161  304  369  487  718  813  961 1059 1092]
label_predict: [121 304 464 634 754 872]
label_predict: [  51   79  147  156  189  477  671  780  813 1046 1059 1062 1092]
label_predict: [  79  147  156  671  780  813 1046 1059 1092]
label_predict: [ 147  813  896 1092]
label_predict: [ 121  420  433  724 1059]
label_predict: [ 147  189  671  780  813 1034 1035 1092]
label_predict: [ 147  189  813 1092]
label_predict: [ 156  369 1059 1062]
2809it [01:10, 47.69it/s]
label_predict: [ 147  156  189  430  434  501  559  738  744  813  835 1092]
label_predict: [  51  111  147  189  259  420  738  776  813 1046 1092]
label_predict: [  51  147  189  813  896  903 1092]
label_predict: [ 483  737  738  776  813  830 1046]
label_predict: [ 116  121  133  161  289  304  313  374  415  464  473  563  589  597
  600  650  681  684  704  705  718  724  735  748  949  955 1026]
label_predict: [  79  147  156  189  194  671  780  813 1059]
label_predict: [ 99 121 161 304 813 961]
label_predict: [  13   51  147  813  896 1092]
label_predict: [  79  188  282  487  489 1059]
label_predict: [ 121  161  217  236  304 1059 1061]
label_predict: [  51  147  156  161  189  515  813 1059 1092]
2819it [01:10, 46.06it/s]
label_predict: [ 121  184  313  962 1039]
label_predict: [  51  147  189  734  813  993 1092]
label_predict: [  79  194  487  489  624  671  780 1059 1062]
label_predict: [  13   51  147  194  813 1092]
label_predict: [ 147  156  189  259  813  835 1046 1092]
label_predict: [  51  147  156  189  671  780  813  835 1092]
label_predict: [ 147  369  587  766 1020 1039 1059]
label_predict: [121 433 813]
label_predict: [ 121  369  487  718 1059]
label_predict: [  79  147  156  194  489  584  612  671  780  954 1059]
2829it [01:10, 44.91it/s]
label_predict: [ 33 420 738 813 835 962]
label_predict: [  13   79  194  477  480  483  671  737  738  776  813  830 1034 1046]
label_predict: [ 121  147  189  813  949 1092]
label_predict: [ 13  41 147 189 552 671 768 780]
label_predict: [  51  147  189  434  615  813 1092]
label_predict: [ 121  147 1034]
label_predict: [  25  147  156  161  189  584  738  813 1059 1062 1092]
label_predict: [ 147  156  189  259  418  541  542  813  835  949 1046 1072 1092]
label_predict: [ 147  189  655  671  744  813  903 1092]
2834it [01:10, 45.24it/s]
label_predict: [  13  698  813  896 1092]
label_predict: [ 111  147  189  259  734  813  835 1046 1092]
label_predict: [  13   58  147  182  189  554  558  744  813  896  903 1092]
label_predict: [  79  147  189  194  477  671  780  813 1046 1092 1099]
label_predict: [  51  147  156  189  420  738  813  835 1059 1092]
label_predict: [ 147  189  671  780 1034]
label_predict: [ 147  189  194  477  671  780 1059]
label_predict: [ 147  189  671  780  813 1034 1046]
label_predict: [ 79 147 189 671 744 780 813 903]
2844it [01:10, 44.03it/s]
label_predict: [  13  147  189  655  671  744  813  903 1092]
label_predict: [ 147  615  813  896 1092]
label_predict: [ 147  156  188  189  332  418  541  542  543  581  753  764  796  813
  949 1072 1092]
label_predict: [  13  147  194  744  813  896  903 1092]
label_predict: [  13  147  744  813  896  903 1092]
label_predict: [  51   79  147  156  194  227  489  584  671  780  813  954 1030 1046
 1092]
label_predict: [ 111  147  189  420  733  738  776  813 1046 1092]
label_predict: [ 13  51 147 477 552 671 780]
label_predict: [  13   51  147  813  896  903 1092]
label_predict: [ 147  189  671  780 1034]
2854it [01:11, 42.79it/s]
label_predict: [ 147  156  189  259  541  733  734  813  993 1084 1092]
label_predict: [  79  147  189  194  477  671  780  813 1034 1092]
label_predict: [ 194  671  744  780  813 1046 1092 1099]
label_predict: [  13   51  147  189  813 1092]
label_predict: [ 194  483  738  813 1046 1092]
label_predict: [ 121  147  433 1039]
label_predict: [  13  480  483  776  813  830 1046 1092]
label_predict: [  13   51  111  147  813 1046 1092]
label_predict: [ 147  156  189  813 1092]
2864it [01:11, 44.61it/s]
label_predict: [  51  147  156  189  283  369  532  671  813 1022 1059]
label_predict: [  51  147  189  813 1092]
label_predict: [ 156  189  369  587  726  766 1020 1059 1084]
label_predict: [  25  125  161  304  369  587  766  833 1020 1059]
label_predict: [ 147  156  189  541  813  835 1092]
label_predict: [  79  194  489  584 1059 1062]
label_predict: [ 121  184  369  436 1039 1059]
label_predict: [  79  194  369  489  624  671  780 1059]
label_predict: [  79  147  180  188  189  420  477  498  671  738  813 1059 1092]
label_predict: [ 147  189  671  780 1034]
2875it [01:11, 45.98it/s]
label_predict: [  13   51  147  189  718  744  813  896  903 1092]
label_predict: [  13   51  147  189  744  813  896  903 1092]
label_predict: [  51  147  156  189  212  477  584  671  780  813 1059 1062 1092]
label_predict: [ 13  51 147 552 671 780]
label_predict: [ 147  189  718  813 1092]
label_predict: [147 189 450 558 744 813]
label_predict: [  51  147  156  189  813 1059 1092]
label_predict: [121 433]
label_predict: [  51  111  147  189  813 1046 1092]
label_predict: [  18   25  161  331  487  534  584  611  642  734  738  758  800  813
  953 1059 1062 1092]
2885it [01:11, 46.16it/s]
label_predict: [ 51 147 156 189 477 485 603 671 695 780]
label_predict: [ 13 147 189 552 671 768 780]
label_predict: [ 369  438  726 1039]
label_predict: [  79  121  482  487  498  813  961 1059 1092]
label_predict: [  13  147  189  194  671  780 1034]
label_predict: [  79  156  813 1059 1092]
label_predict: [  51   79  147  156  189  813 1059 1062 1092]
label_predict: [ 147  189  671  780 1034]
2890it [01:11, 38.01it/s]
label_predict: [  55  131  147  189  378  671  768  780 1034]
label_predict: [ 188  189  420  498  718  813 1059 1092]
label_predict: [  51  147  156  189  227  671  780  813  961 1059 1092]
label_predict: [ 147  189  671  780  813 1092]
label_predict: [ 147  615  813  896 1092]
label_predict: [121 147 433 724 962]
label_predict: [ 121  184  369  819 1039 1059]
label_predict: [  51  121  147  498  813 1059 1092]
label_predict: [  79  147  156  189  420  671  738  813  835 1059]
2900it [01:12, 41.48it/s]
label_predict: [  51  147  156 1059]
label_predict: [  51  147  189  335  813  835 1092]
label_predict: [  33  121  147  189  420  434  724  738  813  962 1092]
label_predict: [ 147  189  477  671  780  813 1034 1092]
label_predict: [121 962]
label_predict: [1059]
label_predict: [ 147  161  189  204  304  813  872 1092]
label_predict: [  13   51  147  480  483  494  501  737  738  776  813  830  923  975
 1046]
label_predict: [ 111  147  189  418  477  671  780  813  835 1034 1046 1092]
label_predict: [ 615  813  896 1092]
2911it [01:12, 45.44it/s]
label_predict: [  51   79  147  156  189  671  813 1059 1092]
label_predict: [ 13  14  51 127 147 552 626 671 716 780]
label_predict: [ 79  99 121 498 813 961]
label_predict: [ 96 161 236 304 813 955 962]
label_predict: [  13   79  121  147  188  477  552  671  780 1046]
label_predict: [121 147 552 671]
label_predict: [  79  147  189  194  477  671  780 1034]
label_predict: [  13  147  156  813  896  903 1092]
label_predict: [  51  147  156  189  671  780  813 1092]
label_predict: [ 194  480  483  737  738  744  776  813  830 1046 1092 1099]
2921it [01:12, 45.01it/s]
label_predict: [  13  147  189  552  671  813 1092]
label_predict: [  51  111  147  189  813  896  903 1092]
label_predict: [ 480  483  494  501  676  725  737  738  776  813  830  866  923  924
  931 1046]
label_predict: [  79  813 1059]
label_predict: [  99  121  161  304  369  493  495 1039 1059]
label_predict: [  79  194  477  671  780  813 1092 1099]
label_predict: [147 156 189 485 603 671 780]
label_predict: [ 194  369  489  813 1059]
label_predict: [  51   79  111  147  189  671  738  776  780  813 1046]
2931it [01:12, 44.98it/s]
label_predict: [ 147  369  586 1039 1059]
label_predict: [  79  147  156  612  671  780  813 1059 1092]
label_predict: [  13   51  147  369  744  813  896  903 1092]
label_predict: [  51  147  156  189  813 1092]
label_predict: [ 147  156  189  671  780 1034]
label_predict: [  99  189  498  718  813  896  961 1092]
label_predict: [ 127  147 1039]
label_predict: [  51  147  156  189  489  554  612  744  746  813  896  903 1092]
label_predict: [ 33 121 313 420 432 724 738 962]
label_predict: [ 147  156  189  541  813 1092]
2941it [01:13, 45.17it/s]
label_predict: [ 111  147  156  189  259  418  541  813  835 1046 1092]
label_predict: [ 147  189  813  903 1092]
label_predict: [ 147  156  189  541  813 1092]
label_predict: [  13   14   51  147  552  626  671  780 1056]
label_predict: [  79  147  189  482  498  813  961 1059 1092]
label_predict: [ 194  480  483  737  738  744  813 1046 1092 1093]
label_predict: [ 147  189  813 1092]
label_predict: [  13   51  147  156  189  612  671  744  813  896  903 1092]
label_predict: [  51  147  156  189  369  813 1059]
2946it [01:13, 44.71it/s]
label_predict: [147 156 189 485 603 671 780]
label_predict: [ 147  156  189  259  541  616  813  993 1092]
label_predict: [  51  111  147  189  483  738  776  813 1046 1092]
label_predict: [  51  147  161  813 1059 1092]
label_predict: [  13   51  147  813  896 1046 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [ 147  156  189  369  436  720  813 1059 1092]
label_predict: [121 188 754]
label_predict: [  79  184  194  420  489 1039 1059]
2957it [01:13, 44.87it/s]
label_predict: [ 147  189  597  671  680  738  813  835 1092]
label_predict: [121 184 313 415 872 962]
label_predict: [ 121  433 1039 1059]
label_predict: [ 147  189  744  813  896  903  962 1092]
label_predict: [  79   99  121  754 1039 1059]
label_predict: [ 147  189  418  800  813  835 1092]
label_predict: [  13   51  147  189  335  813  896 1092]
label_predict: [ 131  147  189  378  671  768  780 1034]
label_predict: [ 813 1046 1092]
label_predict: [  79  147  189  194  671  776  813 1034 1046 1092]
2967it [01:13, 44.95it/s]
label_predict: [  51   99  147  189  498  718  813  896  961 1092]
label_predict: [  9  33  99 313 420 738 813 835 955 962]
label_predict: [  51   79  147  156  189  212  477  671  780 1059 1062]
label_predict: [ 121  188  433 1059]
label_predict: [ 147  189  813  835 1046 1092]
label_predict: [  13   79  147  189  813 1092]
label_predict: [  13   14   51  147  552  626 1056]
label_predict: [  79  121  182  754 1039 1059]
label_predict: [  79  161  194  282  477  487  489 1059 1062]
label_predict: [ 483  737  738  776  813  830 1046 1092]
2982it [01:13, 46.54it/s]
label_predict: [  79  147  189  194  477  671  780  813 1046 1059 1092]
label_predict: [  51   79  147  156  189  465  489  584  612  671  780 1059 1062]
label_predict: [ 184  369  464  493  754  766  819 1039 1059]
label_predict: [ 121  147  188  189  597  724  813 1092]
label_predict: [  51  111  147  189  776  813 1046 1092]
label_predict: [  79  147  156  194  489  671 1059]
label_predict: [ 33 121 420 432 724 738 813 962]
label_predict: [  79  194  487  624  671 1059 1062]
label_predict: [  13  147  813  896  903 1092]
label_predict: [  51  147  189  485  671  744  780  813  835 1092]
label_predict: [  51  147  156  227  322  369  477  612  671  780  813 1062]
2992it [01:14, 46.46it/s]
label_predict: [  51  147  189  813 1092]
label_predict: [  79  147  188  189  597  639  671  780  813 1059 1092]
label_predict: [ 79 147 369 813]
label_predict: [  13   51  111  147  480  483  737  738  776  830  923 1046]
label_predict: [  99  161  304  774 1059]
label_predict: [ 147  189  552  671  768  780 1034]
label_predict: [  79  147  189  194  813 1046 1092]
label_predict: [  79  147  194  498  813  896  961 1092]
label_predict: [  67  156  171  189  223  245  300  337  355  368  369  587  726  766
  994 1020 1059 1084]
label_predict: [ 58 188 189 489 558 612]
3002it [01:14, 47.40it/s]
label_predict: [ 147  189  813 1092]
label_predict: [  79  147  156  194  477  671  780 1046 1059]
label_predict: [  51   79  147  156  189  482  498  813  961 1092]
label_predict: [ 147  189  813  835 1092]
label_predict: [ 483  494  501  737  738  776  813  830  923  931 1046]
label_predict: [ 147  189  813 1046 1092]
label_predict: [ 121 1059]
label_predict: [ 147  189  194  671  813 1059 1092]
label_predict: [ 51 147 156 189 485 603 671 780 999]
label_predict: [ 13 121 147 189 552 671 768 780]
3007it [01:14, 45.46it/s]
label_predict: [  13   51  147  189  813  896  903 1092]
label_predict: [ 147  156  227  322  612  671  780  813  896  954 1092]
label_predict: [ 156  189  300  369  587  726  766  994 1020 1084]
label_predict: [ 79 147 189 671 780]
label_predict: [  79  147  189  194  477  671  780 1034 1035]
label_predict: [  51  147  188  369  615  671  744  780  813 1059]
label_predict: [ 147  156  189  259  418  541  796  813  835  949 1072 1092]
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3017it [01:14, 45.71it/s]
label_predict: [ 147  156  189  541  542  813 1092]
label_predict: [  13   14   51  147  552  626  671  716  780 1056]
label_predict: [121]
label_predict: [  51  147  156  612  671  780  813 1046 1059 1092]
label_predict: [  33  121  184  313  433  962 1059]
label_predict: [ 13  51 147 189 430 434 480 483 501 545 559 737 738 931]
label_predict: [  51  147  156  189  813 1046 1092]
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label_predict: [  51  147  189  813  896 1092]
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label_predict: [ 188  671 1059 1062]
label_predict: [  51   79  147  813 1046 1092]
label_predict: [  51  304  584 1059]
label_predict: [ 147  332  542  813 1092]
label_predict: [  51  147  156  189  498  813  961 1092]
label_predict: [  51  147  156  189  283  322  477  554  671  780  813 1059 1062 1092]
label_predict: [121 433]
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3037it [01:15, 43.34it/s]
label_predict: [ 121  433  724  813 1092]
label_predict: [  45  111  147  189  480  483  501  737  738  776  813  931 1046 1092]
label_predict: [ 188  369 1039 1059]
label_predict: [  51  147  156  189  420  477  612  671  744  813 1046 1059 1092]
label_predict: [ 147  188  189  518  552  639  671  780 1034 1035]
label_predict: [ 147  156  189  541  554  744  813  896 1092]
label_predict: [ 147  156  189  259  418  541  542  813  949 1072 1092]
label_predict: [ 147  483  776  813  830 1046]
label_predict: [  51  147  283  369  532  671 1022 1059]
3047it [01:15, 41.25it/s]
label_predict: [ 121  483  501  737  738  776  813  830  931 1046]
label_predict: [ 111  147  156  189  259  541  813  993 1046 1092]
label_predict: [  13   51  147  188  194  671  813 1059 1092]
label_predict: [  79  147  189  194  369  477  671  780 1034]
label_predict: [ 156  189  369  554  587  726  766  994 1020 1084]
label_predict: [ 13  51 147 434 480 483 501 519 615 813]
label_predict: [  79  121  147  189  194  671  813 1034 1059]
label_predict: [ 147  189  194  369  436  671  780 1034]
3057it [01:15, 43.51it/s]
label_predict: [  51  147  156  189  498  813  961 1059 1092]
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label_predict: [  13   51  111  147  813  896  903 1092]
label_predict: [ 615  813  896 1092]
label_predict: [  99  161  304  351  718  813  961 1092]
label_predict: [  79  147  156  189  487  498  671  813  961 1059 1062 1092]
label_predict: [  79  121  182  194  754 1039 1059]
label_predict: [ 111  147  189  420  483  738  776  813 1046 1092]
label_predict: [  51  111  147  189  738  776  813 1046 1092]
label_predict: [  51  147  156  189  283  532  671 1059]
3062it [01:15, 44.39it/s]
label_predict: [147 189 304 450 558 744 813 903]
label_predict: [  79  147  189  194  420  671  813 1059 1092]
label_predict: [  13   51  147  744  813  896  903  952 1092]
label_predict: [  99  161  304  718  813  896  961 1092]
label_predict: [147 156 189 485 603 671 780]
label_predict: [ 147  156  189  259  541  663  813  835 1092]
label_predict: [ 483  501  737  738  813 1046]
label_predict: [  13   14   51  147  552  626  671  780 1056]
label_predict: [ 121  369  487 1039 1059]
3072it [01:15, 42.52it/s]
label_predict: [  13  147  189  813  896  903 1092]
label_predict: [  13   51  147  189  744  813 1092]
label_predict: [ 147  156  189  259  430  434  541  559  813  949 1092]
label_predict: [ 188  369  507 1039 1085]
label_predict: [ 111  147  189  420  480  483  501  733  737  738  776  813 1046]
label_predict: [ 147  189  420  738  813 1092]
label_predict: [ 121  415  464  634  754  872 1039]
label_predict: [ 114  161  217  236  304  813 1059 1061]
label_predict: [  13  147  189  671  780 1034]
3083it [01:16, 42.86it/s]
label_predict: [  79   99  369  489 1059]
label_predict: [ 99 161 304]
label_predict: [ 147  156  189  259  418  541  542  813  835  949 1072 1092]
label_predict: [ 147  189  718  744  813  896  903 1092]
label_predict: [ 194  239  487  600  809  813  844 1059]
label_predict: [ 147  156  189  259  418  541  542  813  835  949  993 1072 1092]
label_predict: [ 147  156  189  477  671  780  813  835 1092]
label_predict: [  13   51  147  369  552  626  671  780  813 1092]
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3093it [01:16, 45.28it/s]
label_predict: [ 79 121]
label_predict: [  51  212  304  584  671 1059 1062]
label_predict: [  51  147  156  212  369  584  586  671  746 1059]
label_predict: [  51  147  813 1046 1092]
label_predict: [ 147  156  189  813 1092]
label_predict: [  79  121 1059]
label_predict: [121 189 420 813]
label_predict: [  99  121  161  304  464  495  884 1039]
label_predict: [ 147  189  671  813 1059 1092]
label_predict: [147 189 369]
3103it [01:16, 44.89it/s]
label_predict: [ 121  369  813 1034 1099]
label_predict: [  13  404  405  896  903 1092]
label_predict: [  51  147  156  189  369  671  780  813 1059 1092]
label_predict: [  79  121  194  813  844 1059]
label_predict: [ 147  156  189  813  835 1092]
label_predict: [  13   51  147  552  813 1092]
label_predict: [ 147  156  189  477  485  603  607  671  695  780 1069]
label_predict: [  51  147  156  189  671  813  961 1092]
label_predict: [ 51 147 188 189 554 558 612 671 744 780 813 903]
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3113it [01:16, 45.85it/s]
label_predict: [  13   79  147  189  552  671  780 1034]
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label_predict: [  51  147  189  554  744  813  896  903 1092]
label_predict: [  13   51  147  189  744  813  896 1092]
label_predict: [147 189 369 436 552 671 780]
label_predict: [ 121  147  189  597  671  768 1034]
label_predict: [  51  147  156  612  671  780  813  896  903 1092]
label_predict: [  51  147  189  194  655  671  813  872 1092]
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3123it [01:17, 44.92it/s]
label_predict: [  79  194  477  671  738  780 1034 1046]
label_predict: [  13   51  147  189  813 1046 1092]
label_predict: [ 121  304 1039 1059]
label_predict: [  79  194  487  671  813 1059 1062]
label_predict: [  79  194  489  584 1059 1062]
label_predict: [ 147  189  369  720  744  813  896  903 1092]
label_predict: [  13  147  369  813  872  896  903 1092]
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3133it [01:17, 46.42it/s]
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label_predict: [147 156 189 477 485 603 671 695 780 835]
label_predict: [ 147  156  189  369 1059]
label_predict: [121 147 189 744 813 903]
label_predict: [  25  161  189  331  420  477  534  584  611  734  751  797  813  953
  974 1059 1062 1092]
label_predict: [  13  147  189  813  896  903 1092]
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3143it [01:17, 45.24it/s]
label_predict: [ 189  482  498  813  961 1059 1092]
label_predict: [  79  194  487  671 1059 1062]
label_predict: [ 121  498  718  813  896  961 1092]
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label_predict: [  79  121  304  487 1059]
label_predict: [ 13  14  51 147 552 671 780]
label_predict: [  51  147  188  189  597  671  744  780  813 1059 1092]
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3153it [01:17, 45.38it/s]
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label_predict: [ 147  189  813  896  903 1092]
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label_predict: [  51   79  147  188  189  477  597  671  780  813 1092]
label_predict: [  51  147  189  744  813  835 1092]
label_predict: [ 111  147  189  480  483  501  737  738  776  813  923 1046 1092]
label_predict: [  51  147  156  189  283  515  813 1059 1092]
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3163it [01:17, 45.57it/s]
label_predict: [ 147  156  418  541  542  813  949 1072 1092]
label_predict: [  79  121  147  189 1059]
label_predict: [ 121  813 1059 1092 1099]
label_predict: [  25   99  161  304  331  489  718  774  813 1059]
label_predict: [ 13 477 501 554 670 693 729 746 813 975]
label_predict: [ 147  156  189  259  800  813  835 1046 1092]
label_predict: [  13   51  147  483  501  738  813 1046 1092]
label_predict: [  51  147  189  718  744  813  896  903 1092]
label_predict: [  13  147  420  616  733  734  776  813 1046 1092]
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3168it [01:18, 39.50it/s]
label_predict: [  51  147  189  671  780  813 1092]
label_predict: [ 147  189  373  597  671  768  780 1034 1035]
label_predict: [  51  147  156  189  744  813  896 1092]
label_predict: [  51  147  189  744  813  896  903 1092]
label_predict: [ 121  147  813 1092]
label_predict: [  13  405  896  903 1092]
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3178it [01:18, 42.51it/s]
label_predict: [ 121  147  369  555  833 1039]
label_predict: [  99  121  304  498  718  813  961 1092]
label_predict: [ 116  121  304  415  464  487  724  735  955  962 1026]
label_predict: [  51  147  156  189  420  477  489  612  671  780  813  835 1059 1092]
label_predict: [ 51  99 304 774]
label_predict: [  79  147  189  194  420  477  671  780  813 1046 1059 1092]
label_predict: [  51  147  189  738  813  835 1046 1092]
label_predict: [ 156  738  813  961 1059 1092]
label_predict: [ 13  14 147 552 671 780]
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3183it [01:18, 42.77it/s]
label_predict: [ 147  189  552  671  780 1034]
label_predict: [  79  194  487  671  758 1059 1062]
label_predict: [ 189  194  671  780 1034]
label_predict: [  51   79  147  156  189  420  477  671  738  780  813 1046 1059 1092]
label_predict: [121 184 313 464 754 962]
label_predict: [ 111  147  156  189  477  597  671  680  768  780  813  835 1092]
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3193it [01:18, 40.94it/s]
label_predict: [ 13  51 147 552 612 671 780]
label_predict: [ 121  147  189  369 1039 1059]
label_predict: [  79  184  194  369  489 1039 1059]
label_predict: [ 51 147 189 552 671 768 780]
label_predict: [  13   51  121  147  189  434  813 1092]
label_predict: [  51  147  189  744  813  896 1092]
label_predict: [ 121  194  420 1059]
label_predict: [  13   51  147  813  896 1092]
label_predict: [  79  147  188  189  552  639  671  780 1034]
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3203it [01:18, 43.76it/s]
label_predict: [  51  147  156  189  369  586 1020 1039 1059]
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label_predict: [ 147  189  671  780 1034]
label_predict: [107 147 165 188 189 477 489 554 612 671 744 780]
label_predict: [  51  147  156  369  477  671  780  813 1059 1092]
label_predict: [  25  161  420  584  734  813  953 1059 1092]
label_predict: [  51  111  147  189  813 1046 1092]
label_predict: [  51  147  189  283  434  671  744  813 1059]
label_predict: [  13  147  813  896  903 1092]
label_predict: [  51  147  156  189  813 1059 1092]
3213it [01:19, 44.53it/s]
label_predict: [  13  147  477  552  671  780 1034]
label_predict: [  51  147  156  189  813  835 1092]
label_predict: [  79  369  438  587  766 1020 1039 1084]
label_predict: [  13  147  813  896  903 1092]
label_predict: [  79  147  156  189  671  744  813  835  903 1059 1092]
label_predict: [  51  147  189  813  896 1092]
label_predict: [147 156 189 477 485 603 607 671 695 780]
label_predict: [  99  121  487  718  813 1059]
label_predict: [  51  147  189  744  813  903 1092]
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3223it [01:19, 45.64it/s]
label_predict: [  13  147  552  655  671  716  780  813  896 1092]
label_predict: [ 147  156  189  259  418  424  541  542  579  753  813  835  949  993
 1072 1092]
label_predict: [  51  121  147  813 1059 1092]
label_predict: [  13  147  189  655  744  813  896  903 1092]
label_predict: [  79  282  487  489 1059 1062]
label_predict: [  51  147  813 1046 1092]
label_predict: [ 147  156  189  259  418  541  796  813  835 1092]
label_predict: [ 13  41 121 127 147 433 552 655 671 768 780]
label_predict: [  13   51  147  519  616  733  734  744  813  952 1092]
3233it [01:19, 42.40it/s]
label_predict: [ 147  189  671  768  780 1034 1035]
label_predict: [  79  194 1059]
label_predict: [  51  147  156  584  813 1059]
label_predict: [  13  405  896  903 1092]
label_predict: [  99  121  433  434  597  724  813 1059 1099]
label_predict: [  13   51  147  189  552  671  780  813 1092]
label_predict: [ 111  147  156  189  259  738  776  813 1046 1092]
label_predict: [  13   51  111  147  483  738  776  813 1046 1092]
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3243it [01:19, 44.12it/s]
label_predict: [  79  194  369  813 1059]
label_predict: [  13   51  147  189  194  813  896 1092]
label_predict: [  13   51  147  744  813  896  903 1092]
label_predict: [  79  147  189  477  639  671  780 1034 1035]
label_predict: [ 147  501  738  813 1046 1092]
label_predict: [  51  147  156  189  369  671 1059]
label_predict: [ 147  188  189  477  597  671  780  813  835 1034]
label_predict: [ 147  156  189  369  744  813  903 1059 1092]
label_predict: [  51  147  189  483  738  776  813 1046]
label_predict: [ 121  161  194  369  415  487  809  813  961 1059]
3253it [01:20, 44.99it/s]
label_predict: [  51  147  189  744  813  896 1092]
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label_predict: [  79  121  194  239  487  684 1059 1062]
label_predict: [ 121  161  304  487  813  961 1059]
label_predict: [  51  147  156  189  498  813  961 1059 1092]
label_predict: [ 147  189  369  671  780 1034]
label_predict: [ 188 1059]
label_predict: [  13   51  147  813 1046 1059]
label_predict: [  13   51  147  156  189  813 1059 1092]
3263it [01:20, 44.63it/s]
label_predict: [  51  147  813 1092]
label_predict: [  13  147  813  896  903 1092]
label_predict: [  51  147  189  430  559  813 1092]
label_predict: [ 147  156  189  259  418  541  542  579  813  835  949 1072 1092]
label_predict: [ 121  147  189  369  813 1092]
label_predict: [  13   51  111  147  420  483  501  573  616  733  734  737  738  776
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label_predict: [ 188  189  369  671  780 1034]
label_predict: [ 147  369  436  720  744  813  903 1019]
label_predict: [ 13  14 147 552 671 780]
3273it [01:20, 44.32it/s]
label_predict: [  51  147  189  744  813  896  903 1092]
label_predict: [ 111  147  189  480  483  494  501  573  725  737  738  776  813  830
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label_predict: [  79  121  147  962 1059]
label_predict: [ 33  99 313 420 738 835 962]
label_predict: [ 147  156  189  813  896 1092]
label_predict: [  13  698  813  872  896  903 1092]
label_predict: [  79  194  369  754 1039 1059]
label_predict: [ 147  189  552  671  768  780 1034]
label_predict: [  51  111  147  189  738  813 1046 1092]
3278it [01:20, 44.34it/s]
label_predict: [  51  111  147  189  813 1046 1092]
label_predict: [  51  147  156  189  369 1059]
label_predict: [  79  194  489  584  671 1059]
label_predict: [ 420 1059]
label_predict: [  51  147  189  718  744  813  896  903 1092]
label_predict: [  51  111  147  189  554  671  744  780  813  835  903 1092]
label_predict: [ 147  189  552  597  671  768  780 1034 1035]
label_predict: [ 121  369 1039 1059]
3288it [01:20, 41.10it/s]
label_predict: [  79  147  189  194  477  671  780 1034 1046]
label_predict: [  13   51  111  147  189  483  573  737  738  776  813 1046 1092]
label_predict: [  13   51  147  189  813 1092]
label_predict: [  99  121  188  718  813 1039 1059]
label_predict: [  79  121  147  194  671  780  813 1034]
label_predict: [  79  147  161  189  194  304 1059]
label_predict: [  79  147  194  477  498  671  738  776  780  813  830 1046 1059 1092]
label_predict: [  79  147  189  369  436 1059]
label_predict: [  51   79  147  156  189  194  477  489  584  671  780  813 1046 1059
 1092]
3298it [01:21, 43.81it/s]
label_predict: [  13  147  813  896  903 1092]
label_predict: [ 147  189  259  418  541  813  835 1046 1092]
label_predict: [  51   79  147  156  369  477  612  671  780 1046]
label_predict: [  13  147  189  813  896  903 1092]
label_predict: [ 483  501  738  813 1046 1092]
label_predict: [  51  147  194  404  744  813  952 1020 1092]
label_predict: [ 147  188  189  477  671  780 1034]
label_predict: [  51  147  156  189  744  813  835 1092]
label_predict: [  79  313  962 1059]
label_predict: [  79  121  147  189  194  369  671  780  813 1034]
3308it [01:21, 40.34it/s]
label_predict: [  99  121  433 1039]
label_predict: [  13   14   41   51  147  552  626  671  780 1066]
label_predict: [  99  121  718  813  896 1092]
label_predict: [  79  194 1059 1062]
label_predict: [ 131  147  189  552  671  768  780 1034]
label_predict: [ 147  156  189  369  813 1059]
label_predict: [  79  121  304  754 1059]
label_predict: [  79  194  487 1059]
3318it [01:21, 41.45it/s]
label_predict: [121 433 597]
label_predict: [  79  147  369 1059]
label_predict: [ 13  41 147 189 552 626 671 768 780]
label_predict: [ 13  51 147 189 552 671 780]
label_predict: [  51  121  147  671  813 1059]
label_predict: [  13  147  189  554  744  813  896  903 1092]
label_predict: [  79  147  189  369  671  780  925 1034]
label_predict: [  79  194  369  489  584  671 1059]
label_predict: [  51  147  156  189  420  744  813  835  903 1059 1092]
label_predict: [ 13  51 147 552]
3323it [01:21, 42.54it/s]
label_predict: [  51  147  189  259  744  813 1092]
label_predict: [ 13 519]
label_predict: [ 13  14  51 147 552 716]
label_predict: [121 415 464 634 840 872]
label_predict: [  79  147  188  189  477  597  671  780 1034]
label_predict: [ 121  147  189  369  433  552  768 1039]
label_predict: [ 111  147  156  189  259  418  541  813 1046 1092]
label_predict: [  75  147  189  554  558  612  655  744  811  813  896  903 1092]
label_predict: [  13  477  554  670  813 1092]
3333it [01:21, 42.90it/s]
label_predict: [  99  121  161  194  217  304  487  718  774 1059 1061]
label_predict: [  13  477  813  896 1092]
label_predict: [147 188 189 369 552 558 597 671 780]
label_predict: [  13   51  147  189  813 1092]
label_predict: [  13   51  111  147  189  480  483  737  738  776  813 1046]
label_predict: [121 432 433 724 962]
label_predict: [121 420 738 962]
label_predict: [  51  147  189  813 1092]
label_predict: [ 147  188  428  518  671  744  803  813 1099]
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label_predict: [  13   51  147  189  813  896  903 1092]
label_predict: [  25  161  584  758  813 1059 1062 1092]
label_predict: [ 79 194 304 634 754]
label_predict: [  79  194  487 1059 1062]
label_predict: [  51  813 1059]
label_predict: [  79  121  147 1059]
label_predict: [ 147  189  378  552  671  768  780 1034]
label_predict: [ 147  189  434  501  738  813 1092]
label_predict: [  51  147  156  369  532  587  766 1022 1059]
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label_predict: [121 147 304 558 813 872 903]
label_predict: [ 147  189  430  434  501  545  559  619  649  737  738  825  871  931
 1032 1040]
label_predict: [  79  156  194  487  671  780  813 1059 1062]
label_predict: [  13  405  813  896  903 1092]
label_predict: [  79  189  194  487  498 1059 1062]
label_predict: [  51  147  671  780  813 1059]
label_predict: [ 483  501  737  738  813  931 1046]
label_predict: [ 147  194  813  896 1092]
label_predict: [ 13 477 501 554 670 693 746 813 975]
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label_predict: [  79  489  612 1059]
label_predict: [  51   79  147  156  189  212  465  584  628  671  780  813 1059 1062
 1092]
label_predict: [  51  147  189  541  813 1092]
label_predict: [  79  147  156  189  671  813 1059 1092]
label_predict: [  51  147  813 1059]
label_predict: [  51  147  156  189  259  418  541  542  813 1092]
label_predict: [  99  718  813  896  961 1092]
label_predict: [ 147  189  671  780 1034]
label_predict: [ 147  189  413  430  434  501  559  738  813  835  871 1092]
label_predict: [ 121 1039]
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label_predict: [ 111  147  189  776  813 1046 1092]
label_predict: [  51   79  147  156  227  477  487  671  780  813 1046 1059 1062 1092]
label_predict: [  51  147  189  671  720  744  780  813  903 1092]
label_predict: [  51  147  156  189  477  612  671  780 1092]
label_predict: [ 147  156  189  418  541  542  813  835 1092]
label_predict: [121 415 684]
label_predict: [  51  147  189  744  813 1092]
label_predict: [ 147  813  896 1092]
label_predict: [ 121  304  369  464 1039]
label_predict: [  13   51  147  189  813  896  903 1092]
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label_predict: [  13  147  189  744  813  896  903 1092]
label_predict: [  99  121  482  497  498  813  961 1092]
label_predict: [ 147  189  813  896  903 1092]
label_predict: [ 13  14 147 552 626 671 780]
label_predict: [ 147  189  259  418  541  663  800  813  835  949 1092]
label_predict: [  51  147  189  671  744  780  813  903 1092]
label_predict: [  13   51  147  744  813  896  903 1092]
label_predict: [ 131  147  189  597  671  768  780 1034 1035]
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label_predict: [  55  131  147  189  552  671  768  780 1034]
label_predict: [ 147  156  189  671  813  835 1092]
label_predict: [ 121  313  415  438  464  962 1039]
label_predict: [ 96  99 121 161 236 304 718 813 962]
label_predict: [147 156 189 744 780 813 835]
label_predict: [ 121  161  304  464  634  872 1039 1059]
label_predict: [ 147  156  189  259  541  663  733  800  813  835  993 1092]
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label_predict: [ 13  14  51 552 716]
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label_predict: [  51  147  156  189  813 1092]
label_predict: [  79  147  194  671  780  813 1046 1059 1062]
label_predict: [  13   51  111  147  189  480  483  501  737  738  776 1046]
label_predict: [  13  147  189  813  896  903 1092]
label_predict: [  79  194  369  489 1059]
label_predict: [  79  194  489  671  780 1059 1062]
label_predict: [  13  480  483  776  830  896 1046]
label_predict: [ 501  519  737  738  813  993 1046]
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3408it [01:23, 42.90it/s]
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label_predict: [  79   99  121  161  304  487  758 1059]
label_predict: [ 13  51 147 552 671 780]
label_predict: [  51  147  156  189  369  671  780  813 1046 1059 1092]
label_predict: [  51  147  189  369  552  655  671  780  813 1059]
label_predict: [121 304 464 634 872]
label_predict: [ 121  147  552  671  780  813 1092]
label_predict: [  79  147  189  552  671  780  925 1034]
label_predict: [  79  147  188  189  420  477  639  671  780  813  835 1046 1092]
3418it [01:23, 43.52it/s]
label_predict: [  13  404  405  813  896  903 1092]
label_predict: [  51  147  738  813 1046 1092]
label_predict: [ 147  156  189  259  418  541  663  800  813  835 1092]
label_predict: [  13   51  147  189  813 1092]
label_predict: [ 147  156  189  259  418  541  542  579  813  949 1020 1072 1092]
label_predict: [ 147  189  671  780 1034]
label_predict: [ 121  147  189  671 1059]
label_predict: [  99  147  718  813  896  903 1092]
label_predict: [  51  111  147  189  259  733  738  776  813 1046 1092]
3428it [01:24, 44.98it/s]
label_predict: [ 147  189  477  671  780 1034]
label_predict: [  13   51  147  189  738  813 1092]
label_predict: [  51   79  147  156  227  369  477  489  612  671  780  813  954 1046
 1092]
label_predict: [  79  147  156  194  487  671  780  813 1059 1062 1092]
label_predict: [ 147  156  189  259  418  541  542  813  835  949  993 1072 1092]
label_predict: [  51  121  147  188  428  744  813 1092 1099]
label_predict: [  99  161  304  487  758  813 1059]
label_predict: [  79  147  189  477  671  780  813 1046 1092]
label_predict: [ 147  189  671  780 1034]
label_predict: [  51  147  194  477  671  738  813 1046 1092]
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label_predict: [ 121  147  194  744  813 1092]
label_predict: [ 121  156  189  245  300  337  355  369  587  726  766  994 1020 1059
 1084]
label_predict: [ 147  156  189  259  541  813  835 1092]
label_predict: [ 131  147  189  378  671  768  780 1034]
label_predict: [ 147  189  800  813  835 1092]
label_predict: [  99  161  304  718  813  961 1092]
label_predict: [ 13  51 147 189 369 552 671 780]
label_predict: [  51  147  156  189  538  616  813  952 1046 1092]
label_predict: [ 121  304  415  464 1039]
3443it [01:24, 43.70it/s]
label_predict: [121 147 189 369 436 720 744 813 903]
label_predict: [ 121  433  962 1039]
label_predict: [ 111  147  189  813 1092]
label_predict: [ 147  189  813  896 1092]
label_predict: [ 147  156  189  259  418  541  542  813  835  949 1072 1092]
label_predict: [  51  147  189  813  896 1092]
label_predict: [  13  127  147  369  552  671  675  780  978 1059]
label_predict: [  79  194  489  671  780 1059]
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label_predict: [ 147  189  597  671  768  780 1034 1035]
label_predict: [  29  147  188  518  671  813  949 1092]
label_predict: [  79  369  438  726 1039]
label_predict: [ 13  51 147 156 189 485 671 744 780 813]
label_predict: [ 147  813  896 1046 1092]
label_predict: [  51  147  194  477  671  744  813 1046 1092]
label_predict: [  13  445  477  813  896 1092]
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label_predict: [ 147  189  744  813  903 1092]
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label_predict: [ 121  369  754 1039 1059]
label_predict: [  51  111  147  189  813 1092]
label_predict: [ 121  189  369  552  671 1034]
label_predict: [  13   51  111  147  480  483  501  573  737  738  776  813  830  923
 1046 1092]
label_predict: [ 147  156  189  259  418  541  542  579  813  835  949 1092]
label_predict: [  13  420  477  733  734  813 1092]
label_predict: [  79  194 1059]
label_predict: [  13   51  147  813 1092]
label_predict: [ 147  156  189  744  813  835 1092]
3473it [01:25, 44.23it/s]
label_predict: [  13   14   51  147  552  626  671  780 1056]
label_predict: [121 304 754]
label_predict: [ 147  813  896 1092]
label_predict: [ 79 121 194 813 844]
label_predict: [  51   79  147  188  189  428  671  738  744  780  803  813 1046 1092
 1099]
label_predict: [  13   14   41  131  147  552  626  671  768  780 1066]
label_predict: [  79  147  156  189  487  498  671  813  961 1059 1092]
label_predict: [ 147  189  194  671  780 1034]
label_predict: [ 13  51 147 189 430 434 501 559 615]
label_predict: [ 147  156  189  259  418  541  813  949 1092]
3479it [01:25, 45.89it/s]
label_predict: [  51  147  189  430  434  501  559  813 1092]
label_predict: [  51  489 1059]
label_predict: [  51  147  189  212  369  612  671  780  813 1059]
label_predict: [  13   51  147  189  813  896  903 1092]
label_predict: [  13   79  147  420  477  671  733  780  813 1046 1092]
label_predict: [ 147  813  896 1092]
label_predict: [ 121  369 1039 1059]
label_predict: [  79  121  147  498  718  813  833  961 1092]
label_predict: [  13  813  896 1092]
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label_predict: [79]
label_predict: [  13  405  445  457  813  896  903 1092]
label_predict: [ 121  147  813  896  903 1092]
label_predict: [  79  121  184  194  420  962 1059]
label_predict: [  79  147  188  189  518  552  671  780 1034]
label_predict: [ 147  156  189  335  813 1092]
label_predict: [  51  111  147  189  813 1046 1092]
label_predict: [ 99 161 304 718 774 813]
label_predict: [  51   79  147  188  428  671  744  803  813 1046 1092 1099]
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label_predict: [  51  147  189  671  780  813 1059]
label_predict: [  51  147  156  189  813  896  961 1092]
label_predict: [ 147  156  189  477  485  603  607  671  695  780  835 1069]
label_predict: [ 13  14  51 147 552 626 671 780]
label_predict: [  79  147  156  189  436  813 1059 1092]
label_predict: [  79  147  188  489  612  671  780 1059]
label_predict: [ 147  156  189  259  418  541  542  579  813  835  949 1072 1092]
label_predict: [  79  194  489 1059]
label_predict: [ 121  147  161  189  813 1059]
3510it [01:26, 46.08it/s]
label_predict: [ 51 147 156 369 477 612 671 780 929 954]
label_predict: [121 313 962]
label_predict: [  99  121  189  482  497  498  718  813  961 1092]
label_predict: [  79  194  487 1059 1062]
label_predict: [  58  121  558  724  813 1092]
label_predict: [  51  147  189  498  813  961 1092]
label_predict: [  79  194  239  487  813 1059 1062 1092]
label_predict: [  51  147  189  369  436  671  720  780 1059]
label_predict: [  13  147  189  744  813  896  903 1092]
label_predict: [ 147  156  189  541  813 1092]
3520it [01:26, 39.91it/s]
label_predict: [ 131  147  189  671  768  780 1034]
label_predict: [  13  615  813  896 1092]
label_predict: [  13   14   51  147  552  626  671 1056]
label_predict: [  13  147  189  796  813  896  949 1092]
label_predict: [  51  111  147  189  480  483  501  737  738  776 1046]
label_predict: [  51  147  189  813  835 1092]
label_predict: [ 147  156  189  259  418  541  542  813  949  993 1072 1092]
label_predict: [ 121  194  282  369  489 1039 1059]
label_predict: [  51  147  189  776  813 1046 1092]
label_predict: [147 189 369 436 552 671 720 780 925]
3526it [01:26, 42.75it/s]
label_predict: [ 147  189  813  896 1046 1092]
label_predict: [  13   51  147  189  813  896  903 1092]
label_predict: [121 161 304 450 558 724 955 962]
label_predict: [  79  194  487  624 1059 1062]
label_predict: [ 147  189  813  896  903 1092]
label_predict: [ 188  369  507  718  813  903 1092]
label_predict: [  79  147  156  194  487  671  780 1059 1062]
label_predict: [ 111  147  189  813 1046 1092]
label_predict: [ 147  156  189  813 1059 1092]
label_predict: [  13  121  313  813  962 1039 1092]
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label_predict: [  13   51  147  813  896 1046 1092]
label_predict: [  79  147  189  194  671  780 1034 1059]
label_predict: [ 121  304  415  464  684  724  735  748  809  872  955  962 1026]
label_predict: [ 121  194  239  369  813  844 1059]
label_predict: [  79  121  147  189  498  813  961 1059]
label_predict: [  51  147  156  189  227  477  671  780  813  961 1092]
label_predict: [ 147  156  189  813  835 1092]
label_predict: [  79  147  188  189  671  780  813 1034]
label_predict: [  51  147  189 1059]
label_predict: [  79  147  156  194  477  489  584  612  671  780 1046 1059]
3546it [01:26, 45.22it/s]
label_predict: [ 147  552 1039 1059]
label_predict: [ 147  189  304  718  720  744  813  903 1092]
label_predict: [  79  121  147  189  813 1059 1092]
label_predict: [ 13 477 554 670 671 746 813 975]
label_predict: [ 111  189  434  480  483  501  737  738  813  931 1046]
label_predict: [ 147  156  189  259  813  835 1092]
label_predict: [  79  313  420  738  962 1059]
label_predict: [  13   51  147  189  813 1092]
label_predict: [  51  147  194  404  744  813 1020 1092 1099]
3557it [01:27, 45.95it/s]
label_predict: [  79  121  498  724  813  961 1059]
label_predict: [  51  147  189  552  671  780 1059]
label_predict: [  51   79  147  188  369  552  612  671  780 1059]
label_predict: [ 147  189  335  671  744  780  813  950 1034 1035 1092]
label_predict: [  79  147  189  671  813  903 1092]
label_predict: [  79  147  156  189  194  477  671  780  813 1046 1059 1092]
label_predict: [  25  161  331  813  974 1059 1092]
label_predict: [  16   17   19   29   37   39   45   48   52   54   62   78   79   80
   89  101  111  115  116  117  120  121  127  133  152  155  158  161
  166  167  177  179  189  191  206  226  229  232  239  241  245  256
  264  269  272  275  279  281  282  283  284  286  289  294  306  307
  313  315  317  332  337  343  350  356  359  365  367  368  374  383
  398  403  415  422  424  431  433  443  451  458  464  466  469  470
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  815  817  819  822  825  834  838  841  844  851  860  862  864  869
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  927  932  937  938  939  941  947  949  955  958  967  968  973  978
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label_predict: [  79  147  184  189  420 1059]
label_predict: [  79  121  189  813  961 1059]
label_predict: [ 121  369 1039 1059]
3568it [01:27, 46.83it/s]
label_predict: [  51   79  147  487  671  780  813 1059 1062]
label_predict: [147 189 671 780]
label_predict: [ 194  404  813 1020 1092]
label_predict: [  13  405  813  896  903 1092]
label_predict: [121 161 189 204 304 450 813]
label_predict: [  18   25  161  331  534  584  611  642  734  758  797  813  953  974
 1059 1092]
label_predict: [  51  147  156  194  227  477  584  671  780  813 1046 1059 1062 1092]
label_predict: [  51  147  194  404  671  744  813 1046 1092 1099]
label_predict: [  13  404  405  896  903 1092]
label_predict: [  79  188  369  489  612  671 1059]
3578it [01:27, 47.10it/s]
label_predict: [  79  156  189  194  487  813 1059 1062]
label_predict: [ 615  813  896 1092]
label_predict: [  51  147  189  744  813  903 1092]
label_predict: [  45   51  147  189  744  813  896  903 1092]
label_predict: [  13  147  698  813  896  903 1092]
label_predict: [  79  121 1059]
label_predict: [  79  147  189  813 1046 1092]
label_predict: [  13  480  483  776  813  830 1046]
label_predict: [ 111  147  189  813  896 1046 1092]
label_predict: [  79  147  189  477  671  780 1034 1035]
3589it [01:27, 47.33it/s]
label_predict: [  79  147  369  489  612  671  780 1059]
label_predict: [  51  121  147  188  369  738  813 1059]
label_predict: [  51  147  156  189  541  813 1092]
label_predict: [  13  147  156  189  671  813 1092]
label_predict: [ 147  156  189  306  348  744  813  889  896  903 1092]
label_predict: [ 161  304  487  758 1059]
label_predict: [ 147  189  306  744  813  903 1092]
label_predict: [ 147  156  189  259  418  541  542  663  800  813  835  949 1046 1072
 1092]
label_predict: [ 121  147  182  189  194  754 1059]
label_predict: [  51  147  189  552  671  780 1034]
label_predict: [  51  147  189  813  961 1092]
3600it [01:28, 48.28it/s]
label_predict: [ 147  156  189  418  813  835 1092]
label_predict: [  13  147  744  813  896  903 1092]
label_predict: [ 147  189  800  813  835 1092]
label_predict: [  79  147  189  436  671  813 1059]
label_predict: [ 147  369  436  813 1019]
label_predict: [ 147  189  744  813  896  903 1092]
label_predict: [  51  147  189  554  612  744  813  896  903 1092]
label_predict: [ 99 121 125 161 304 464 634 872]
label_predict: [ 147  156  189  663  813  835 1092]
label_predict: [  79  147  156  189  498  813 1059 1062]
3610it [01:28, 47.79it/s]
label_predict: [ 147  189  744  813  896  903 1092]
label_predict: [ 147  156  189  813  896  903 1092]
label_predict: [ 147  156  189  418  541  542  813  949 1072 1092]
label_predict: [ 121  304  464 1039]
label_predict: [ 147  156  189  259  813  835 1092]
label_predict: [ 147  189  813 1046 1092]
label_predict: [  79  147  156  189  671  780  813 1059 1092]
label_predict: [ 147  156  189  418  541  542  579  753  796  813  896  949 1072 1092]
label_predict: [ 147  188  189  477  558  671  744  780  813 1034]
label_predict: [  13   51  111  147  483  573  738  776  813  830 1046 1092]
3621it [01:28, 46.94it/s]
label_predict: [  99  121  161  304  487 1059]
label_predict: [  13  480  483  776  830  896 1046]
label_predict: [  79   99  121  498  813  961 1059 1092]
label_predict: [  51  121  813 1059]
label_predict: [  51  147  156  189  231  335  420  501  580  733  738  744  813 1092]
label_predict: [ 147  156  189  813  896 1092]
label_predict: [  13  734  813 1092]
label_predict: [ 147  156  189  259  418  541  542  579  813  949 1072 1092]
label_predict: [ 147  189  259  418  541  663  718  796  800  813  835  949 1092]
label_predict: [  13  147  744  813  896  903 1092]
3631it [01:28, 47.46it/s]
label_predict: [ 147  156  189  259  541  813  835 1092]
label_predict: [  13  147  445  655  813  896  903 1092]
label_predict: [  79  489  584 1059]
label_predict: [121 147 189 369 433 436 558 744 813 903]
label_predict: [ 79 147 194 671 780 813]
label_predict: [  51  111  147  156  189  541  616  813 1092]
label_predict: [  79  188  369  489 1059]
label_predict: [ 147  189  671  780 1034 1035]
label_predict: [  79  121  754 1039 1059]
label_predict: [  51  147  189  813 1092]
3636it [01:28, 47.51it/s]
label_predict: [ 147  189  434  483  501  545  559  737  738  813  931 1046]
label_predict: [  79  121 1059]
label_predict: [   1   33  275  369  432  582  724  962 1023 1061]
label_predict: [ 111  147  189  480  483  501  737  738  776  813  923 1046]
label_predict: [  79  369  438  726 1039]
label_predict: [ 121  369  464  586 1039]
label_predict: [  51  147  189  552  597  639  671  780 1034]
label_predict: [ 147  189  418  541  813  835 1092]
label_predict: [  79  194  487 1059]
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label_predict: [121 147 189 304 450 558 744 813 903]
label_predict: [121 147 433 744 903]
label_predict: [  13  147  813  896 1092]
label_predict: [121 313 962]
label_predict: [ 147  813 1059]
label_predict: [ 13  14 121 147 552 626 671 780]
label_predict: [ 13 147 189 552 671 768 780]
label_predict: [  13  111  147  189  480  483  501  737  738  776  813 1046]
label_predict: [ 147  156  189  541  813 1092]
3656it [01:29, 46.11it/s]
label_predict: [ 13 147 552 671 768 780]
label_predict: [  13   51  121  147  189  813 1092]
label_predict: [ 194  404  477  671  744  780  813 1046 1092 1099]
label_predict: [ 121  432  433  582  724 1023]
label_predict: [  13  405  776  830  896 1046 1092]
label_predict: [  51  111  147  189  480  483  501  573  733  737  738  776  813 1046
 1092]
label_predict: [ 121  718  813 1092]
label_predict: [ 13  51 147]
label_predict: [ 147  188  744  803  813 1092 1099]
label_predict: [ 147  189  430  541  559  813  949 1092]
3666it [01:29, 45.79it/s]
label_predict: [  51  147  189  813 1092]
label_predict: [121 147 188 558 744]
label_predict: [  13   51  147  189  434  813 1092]
label_predict: [ 147  156  189  259  418  541  813  835  949 1020 1092]
label_predict: [  51  147  189  612  671  744  780  813  896  903 1092]
label_predict: [121 147 189 558 744 813 903]
label_predict: [  99  121  304  718  813  961 1092]
label_predict: [  51  147  189  671  813 1059]
label_predict: [  51  147  156  189  813  961 1092]
label_predict: [  79   99  354  369  489  584 1059]
3677it [01:29, 45.23it/s]
label_predict: [  51  147  156  189  477  485  603  671  780  813  835  858 1092]
label_predict: [ 245  300  344  368  369  436  587  766 1059 1084]
label_predict: [ 121  415  464 1039]
label_predict: [  79   95  116  121  161  194  225  226  304  362  369  374  415  465
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label_predict: [ 51  79 147 189 194 369 436 655 671 780 813]
label_predict: [  79  121  280  498  738  813 1059 1092]
label_predict: [ 147  369  586 1039]
label_predict: [  70  147  189  418  800  813 1092]
label_predict: [121 147 189 420 433 724 738 813 962]
3682it [01:29, 42.47it/s]
label_predict: [  51  147  189  744  813  835 1092]
label_predict: [ 483  501  516  519  545  548  549  737  738  813  931  993 1033 1046]
label_predict: [ 51 147 189 586]
label_predict: [  51  147  156  189  369  671  780 1059]
label_predict: [ 147  189  813  961 1092]
label_predict: [ 147  189  671  768  780 1034 1035]
label_predict: [  51  147  188  189  485  671  780  813  835 1092]
label_predict: [  79  147  156  194  369  477  584  612  671  780 1059]
3692it [01:30, 44.09it/s]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [ 147  189  369  671  813 1059 1092]
label_predict: [ 79 121 147 369 813]
label_predict: [  13   51  147  813  896  903 1092]
label_predict: [ 147  189  813  896 1046 1092]
label_predict: [ 147  156  189  375  477  489  612  671  780  813  835 1092]
label_predict: [ 156  189  245  300  355  369  587  726  766  994 1020 1059 1084]
label_predict: [ 121  369  433  582  813 1023 1061 1099]
label_predict: [  13  194  404  813 1020 1092]
label_predict: [ 13  14  41 147 552 671 780]
3702it [01:30, 45.35it/s]
label_predict: [ 13 147 189 369 552 671]
label_predict: [  79  156  194  487  671  813 1059 1062]
label_predict: [  13  147  698  813  896  903 1092]
label_predict: [  79  194  671  813 1046 1059 1092]
label_predict: [ 121  433  774 1039 1059]
label_predict: [  79  121  189  482  498  704  813  961 1092]
label_predict: [ 156  189  245  300  369  587  726  766 1020 1059 1084]
label_predict: [ 147  156  189  813 1092]
label_predict: [  99  121  189  498  718  813  961 1092]
label_predict: [ 121 1059]
3712it [01:30, 41.77it/s]
label_predict: [ 13 131 147 189 552 671 768 780]
label_predict: [  79  147  156  189  194  671  813 1059 1062 1092]
label_predict: [  51  147  156  369  436  532 1022 1039 1059]
label_predict: [ 111  147  156  189  259  420  733  738  776  813 1046 1092]
label_predict: [ 194  477  671  780  813 1046 1092 1099]
label_predict: [ 147  813 1092]
label_predict: [  13   14   19   29   45   51   78   85   87   95  116  121  125  127
  133  145  147  152  158  161  167  179  184  189  226  231  245  263
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 1084 1092 1101]
label_predict: [  79  147  156  194  487  671  780  813 1059 1062 1092]
label_predict: [  79  194  369 1039 1059]
3722it [01:30, 44.90it/s]
label_predict: [ 121  184 1039 1059]
label_predict: [  13  405  896  903 1092]
label_predict: [ 147  156  189  259  420  733  734  813  835  993 1046 1092]
label_predict: [147 156 189 671 744 780 813]
label_predict: [ 111  147  189  420  733  738  776  813 1046 1092]
label_predict: [  51  147  189  718  720  813 1092]
label_predict: [ 13  51 147 189 369 655 671 780 978]
label_predict: [ 147  156  189  369  586  833 1020 1039]
label_predict: [  51  121  147  189  744  813 1092]
label_predict: [  79  147  156  194  671  780  813 1059 1062 1092]
label_predict: [  51  111  147  156  189  212  283  323  515  554  584  628  813 1059]
3733it [01:30, 47.51it/s]
label_predict: [  99  161  304  487  718  813 1059]
label_predict: [ 194  477  671  744  780  813 1092 1099]
label_predict: [  13   51  147  189  718  813  896  903 1092]
label_predict: [  51  147  189  430  434  501  738  747  813 1092]
label_predict: [ 13 147 189 552 671 768 780]
label_predict: [ 147  189  813 1046]
label_predict: [ 161  184  304  369  587  766  833 1039 1059]
label_predict: [  13   51  147  744  813 1092]
label_predict: [ 147  189  430  434  501  738  813  931 1046 1092]
label_predict: [  51  147  156  584  671  780  813 1059]
3744it [01:31, 48.77it/s]
label_predict: [ 147  189  813 1092]
label_predict: [  79  147  189  671  754  780 1059]
label_predict: [  51   79  147  156  194  477  671  776  780 1046 1059 1062]
label_predict: [  51   79  147  156  188  189  477  489  612  671  744  780  813  835
 1059 1092]
label_predict: [  79  147  189  194  450  461  477  576  624  639  671  780 1034 1035
 1059]
label_predict: [  18   25   61  161  331  444  534  584  611  734  751  758  797  813
  953  974 1059 1062 1092]
label_predict: [ 189  300  369  436  587  766 1059 1084]
label_predict: [  79  161 1059]
label_predict: [  51  111  147  156  189  212  369  586 1039 1059]
label_predict: [ 194  404  744  813 1020 1046 1092 1099]
3754it [01:31, 47.45it/s]
label_predict: [ 147  156  189  259  418  541  542  813  949 1072 1092]
label_predict: [  51  111  147  189  813 1092]
label_predict: [  13   51  147  189  720  744  813  903 1092]
label_predict: [  13  147  189  813  903 1092]
label_predict: [  99  161  304  487  489  718 1059]
label_predict: [  51  147  189  430  434  501  545  559  738  813 1092]
label_predict: [  13  698  813  896  903 1092]
label_predict: [  51   79  147  156  194  227  584  671  780  813 1059 1092]
label_predict: [  79  147  156  194  477  487  584  671  780 1059 1062]
label_predict: [ 79 147 194 420 671 780 813 844]
3764it [01:31, 48.01it/s]
label_predict: [ 147  189  430  434  501  559  738  813 1092]
label_predict: [121 420 962]
label_predict: [  79  121  718 1059]
label_predict: [  51  147  156  189  212  283  671 1059]
label_predict: [ 147  161  189  304  744  813  903 1092]
label_predict: [ 147  156  189  584  671  780  813 1059 1062 1092]
label_predict: [188 194 369 420 813]
label_predict: [  99  188  304  489  774 1059]
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3774it [01:31, 46.88it/s]
label_predict: [  13   79  147  194 1046]
label_predict: [ 35  79 420 738 813 962]
label_predict: [  51   76   79  147  156  189  477  671  780  813 1059 1062 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [  51  147  189  744  813 1092]
label_predict: [  99  121  188  813 1059]
label_predict: [ 147  189  671  780 1034]
label_predict: [  13   51  147  156  813  896 1092]
label_predict: [121 147 189 369 436 671]
label_predict: [  13  813  896  903 1092]
3779it [01:31, 47.05it/s]
label_predict: [  79  121  369  726 1059]
label_predict: [ 161  304 1059]
label_predict: [ 369  726 1059 1084]
label_predict: [ 147  188  189  671  803  813 1046 1092 1099]
label_predict: [  51  147  156  189  212  369  612  671  744  780  813  903 1059 1092]
label_predict: [  13   51  111  147  189  483  738  776  813 1046 1092]
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3789it [01:32, 43.79it/s]
label_predict: [ 147  483  738  776  813  830 1046 1092]
label_predict: [  13  147  189  813  896  903 1092]
label_predict: [  51  147  156  189  227  339  584  612  671  780  813  961 1030 1059
 1092]
label_predict: [  79  121  304  487 1059 1062]
label_predict: [  51  147  369  586 1039]
label_predict: [  51  147  501  580  616  733  734  738  747  813  952  993 1092]
label_predict: [  13  480  483  776  830  896 1046]
label_predict: [ 147  156  189  541  813  835 1092]
label_predict: [ 13 147 189 552 671 768 780]
3794it [01:32, 43.70it/s]
label_predict: [ 147  189  477  671  780 1034]
label_predict: [ 147  189  738  813 1046]
3804it [01:32, 33.82it/s]
label_predict: [ 131  147  189  597  671  768 1034 1035]
label_predict: [  51  147  188  189  744  813  903 1092]
label_predict: [ 156  189  259  418  541  663  813  835  993 1092]
label_predict: [  13   51  147  813  896 1092]
label_predict: [  79  194  487  671  780 1059 1062]
label_predict: [  99  121  432  433  724 1059]
label_predict: [  51  147  156  189  369  671  813 1059]
label_predict: [  79  194  487 1059 1062]
label_predict: [  51  147  189  744  813  896  903 1092]
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3814it [01:32, 40.16it/s]
label_predict: [ 147  188  189  477  597  671  780  813 1092]
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label_predict: [ 121  313  813  962 1039 1059]
label_predict: [ 13 127 147 552 671 675 716 780 978]
label_predict: [  51  147  189  744  813  896  903 1092]
label_predict: [  51  147  189  501  538  580  616  744  747  813  993 1092 1093]
label_predict: [121 161 304 634 724 872 955 962]
label_predict: [ 121  498  813  961 1059 1092]
label_predict: [  13  121  147  813 1092]
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3824it [01:33, 43.43it/s]
label_predict: [  13   51  147  480  483  738  776  813  830 1046 1092]
label_predict: [  51  147  189  744  813  896  903 1092]
label_predict: [147 188 189 369 552 597 612 671 780]
label_predict: [ 194  480  483  494  725  737  738  776  813  830  923  975 1046]
label_predict: [  51  147  189  813 1059]
label_predict: [  79  147  189  194  671  780  813 1034 1046]
label_predict: [  51   79  147  189  194  671  780  813 1046 1092]
label_predict: [ 147  813  896 1046 1092]
label_predict: [  13   51  147  189  538  655  671  744  780  813  903 1046 1092]
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3835it [01:33, 46.09it/s]
label_predict: [  51  147  189  813 1092]
label_predict: [  79  121  184  189  369  436 1059]
label_predict: [ 121  147  189  738  813 1092]
label_predict: [  51   79  147  156  227  477  489  584  612  671  780  813  954 1030
 1046 1059 1092]
label_predict: [  51  147  189  433  744  813 1092]
label_predict: [  51   58  147  189  477  554  558  612  671  744  780  813  903 1059
 1092]
label_predict: [ 147  156  189  485  671  744 1099]
label_predict: [ 121  161  813 1059 1092]
label_predict: [  79  147  189  482  498  813  961 1092]
label_predict: [  13  147  189  552  671  780  813 1092]
label_predict: [ 369  587  766 1020 1039 1059]
3840it [01:33, 46.45it/s]
label_predict: [ 147  156  189  418  541  542  813 1046 1092]
label_predict: [  51  147  188  189  369  477  489  612  671  780 1059]
label_predict: [  13  147  480  483  737  738  776  813  830 1046 1092]
label_predict: [ 121  147  189  433  552  597  671  768  780 1034]
label_predict: [  79  147  189  369 1059]
label_predict: [ 147  189  306  744  811  813  896  903 1092]
label_predict: [ 147  813  896 1092]
label_predict: [  13  477  483  668  671  813 1046]
label_predict: [  13  147  813  896  903 1092]
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3851it [01:33, 47.54it/s]
label_predict: [ 51 147 156 189 322 369 477 489 554 612 671 780]
label_predict: [  13   51  147  552  626  671  780  813 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [ 147  189  813  835 1092]
label_predict: [ 194  420  813  844 1059]
label_predict: [ 111  147  189  259  813  835 1046 1092]
label_predict: [  79  194  489  584  671  780 1059]
label_predict: [  13   14   51  147  552  626  671  780 1056]
label_predict: [  13   51  147  813 1092]
label_predict: [ 51  79 147 156 189 369 477 612 671 780]
3856it [01:33, 46.87it/s]
label_predict: [  79  147  156  189  482  498  813  961 1092]
label_predict: [  51  147  189  813  961 1092]
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label_predict: [ 111  147  156  189  259  418  541  813 1046 1092]
label_predict: [  51  147  156  189  283  369  477  532  671  780  813 1059 1092]
3866it [01:34, 37.54it/s]
label_predict: [ 121  597 1039]
label_predict: [  79  147  156  194  369  489  584  612  671  780 1059]
label_predict: [  79   99  121  161  487  498  718  813  961 1059 1062]
label_predict: [ 147  189  744  813  889  903 1092]
label_predict: [  13  147  188  189  552  671  780 1034]
label_predict: [  51  147  369 1059]
label_predict: [  51  147  189  718  813  896  903 1092]
label_predict: [ 13  51 147 519 671 813]
label_predict: [  51  147  189  813 1092]
label_predict: [  79  304  487  813 1059 1062]
3876it [01:34, 42.66it/s]
label_predict: [ 161  304  487  758 1059]
label_predict: [  51  111  147  189  813 1046 1092]
label_predict: [ 51 147 188 189 369 612 671 744 780 813 903]
label_predict: [  79  147  189  194  477  624  639  671  780 1034 1035 1059]
label_predict: [  13   51  111  147  483  573  725  737  738  776  813  830  923 1046
 1092]
label_predict: [ 147  156  189  671  780 1059]
label_predict: [  79  282  487  813 1059]
label_predict: [  13   14  147  552  626 1056]
label_predict: [  13  404  405  813  896  903 1092]
label_predict: [ 51 147 189 434 485 615]
3886it [01:34, 43.25it/s]
label_predict: [ 304  369  813 1059 1061]
label_predict: [  79  121  184  369 1039 1059]
label_predict: [ 147  156  189  498  800  813  949  961 1092]
label_predict: [ 147  189  671  780 1034]
label_predict: [  51   79  147  156  189  477  671  780 1034 1035 1046]
label_predict: [  79  147  156  189  489  671  780 1059]
label_predict: [  51   79  147  156  189  813  961 1059 1092]
label_predict: [ 147  189  671  780 1034 1035]
label_predict: [  51   79  147  156  189  227  339  477  584  612  671  780  813 1059
 1062 1092]
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label_predict: [ 147  194  404  744  813 1092]
label_predict: [  51  147  156  189  259  418  541  542  813  949 1046 1072 1092]
label_predict: [ 147  156  189  541  542  671  780  813 1092]
label_predict: [ 121  147  189  813 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [  13   51  147  194  671  780  813 1092]
label_predict: [  51  111  147  156  189  212  369  586 1059]
label_predict: [ 121  369  433  582  724 1023 1059 1061]
label_predict: [  13  483  776  830 1046 1092]
label_predict: [  13  147  813 1092]
3907it [01:34, 47.17it/s]
label_predict: [  51  147  156  189  482  498  813  961 1092]
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label_predict: [ 121  188  369  464  754 1039]
label_predict: [  99  304  718  813  896  961 1092]
label_predict: [  51   79  147  156  194  227  487  671  780  813 1059 1062 1092]
label_predict: [  79  147  156  189  671  744  780  813 1059 1092]
label_predict: [  79  147  156  189  477  489  612  671  780  813  835 1059 1092]
label_predict: [  51  111  147  189  813  896 1092]
label_predict: [ 79 121 147 189 813 961]
label_predict: [  79  121  194  239  369  487  650  735  809  813  844 1059 1092]
3918it [01:35, 47.28it/s]
label_predict: [  79  121  369  438  487  813  961 1059 1062 1092]
label_predict: [ 189  369  813 1059]
label_predict: [  13  147  776  813 1046]
label_predict: [147 156 189 485 671 744]
label_predict: [ 147  156  182  189  420  477  671  744  754  813  903 1059]
label_predict: [  13  405  813  896  903 1092]
label_predict: [  13  480  483  494  501  725  737  738  776  813  830  923 1046]
label_predict: [  51   79  147  156  189  498  813  961 1059 1062 1092]
label_predict: [  51  111  147  189  483  738  776  813 1046 1092]
label_predict: [ 121  313  962 1039]
3928it [01:35, 47.35it/s]
label_predict: [  79  147  189  655  744  813  903 1092]
label_predict: [ 147  188  189  369  477  597  671  780 1034]
label_predict: [ 194  404  744  813 1020 1046 1092]
label_predict: [ 147  156  161  189  813 1059 1092]
label_predict: [ 615  813  896 1092]
label_predict: [  51   99  161  304  489  584  774 1059]
label_predict: [  25  161  194  487  534  738  813  953  974 1059 1062 1092]
label_predict: [  79  147  194  671 1059]
label_predict: [ 147  189  813  896 1092]
label_predict: [  79  194  487  489  584  671  780 1059 1062]
3938it [01:35, 48.02it/s]
label_predict: [  13   51  147  189  813 1092]
label_predict: [ 121  147  433  813 1059 1092]
label_predict: [ 147  189  420  477  612  671  780  813  835 1092]
label_predict: [ 13  51 147 189 552 671 780]
label_predict: [  51  147  156  189  671  738  813 1046 1092]
label_predict: [  13   51  147  189  744  813  896  903 1092]
label_predict: [  70  111  147  189  813  835 1046 1092]
label_predict: [ 121  304  415  650  724  744  809  813  955  962 1023]
label_predict: [147 189 552 671 768 780]
label_predict: [  79  184  188  313  489  962 1039 1059]
3948it [01:35, 47.56it/s]
label_predict: [  51  147  189  813  896 1092]
label_predict: [ 121 1039 1059]
label_predict: [ 369  438  726  766 1039]
label_predict: [ 13  51 147 189 552 671 780]
label_predict: [ 147  369  720 1039 1059]
label_predict: [  99  121  161  304 1059]
label_predict: [121 161 304 464 634 872]
label_predict: [  51  111  147  189  813 1046 1092]
label_predict: [ 111  147  189  483  501  737  738  813  931 1046 1092]
label_predict: [  79  121  194  239  487  813  961 1062]
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label_predict: [  79  147  189  194  477  671  813 1046 1059 1092]
label_predict: [  51   79  147  156  227  477  612  671  780  813 1046 1092]
label_predict: [ 147  189  369  744  813  903 1092]
label_predict: [ 147  156  189  259  418  541  813  835 1092]
label_predict: [  51  147  189  194  813 1092]
label_predict: [  51  147  189  738  813 1046 1092]
label_predict: [  79  121  147  184  194  369 1059]
label_predict: [  13   51  147  189  738  813 1046 1092]
label_predict: [  79  147  188  189  477  518  671  780  813 1034]
label_predict: [ 304  718  813 1092]
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label_predict: [  79  147  189  194  744  813  903 1059 1092]
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label_predict: [ 13  14 147 552 716 780]
label_predict: [ 147  189  744  813  896  903 1092]
label_predict: [  79  313  962 1059]
label_predict: [  51  147  188  744  813 1092]
label_predict: [ 99 121 161 304 464 634 754 872 922]
label_predict: [  13   14   51  147  552  626  671  780 1056]
label_predict: [ 147  156  189  259  541  813  835 1092]
label_predict: [  79  121  147  189  671  780  813 1059]
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label_predict: [  51   79  147  156  189  671  780  813 1059 1062 1092]
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label_predict: [121 147 433 552]
label_predict: [  51   79  147  156  227  369  477  584  612  671  780  813 1046 1059
 1062]
label_predict: [ 147  156  189  259  418  541  813  835  949 1092]
label_predict: [  99  121  161  304  489  774 1059]
label_predict: [  51   79  194  487  671  780  813 1059 1062 1092]
label_predict: [ 194  404  483  738  744  813 1046 1092 1099]
label_predict: [ 147  161  369 1059]
label_predict: [  13   51  147  483  776  830 1046]
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3986it [01:36, 48.18it/s]
label_predict: [ 147  189  369  639  671  780  950 1034 1035]
label_predict: [ 13 147 552 626 671 780]
label_predict: [  13   51  147  189  671  813 1092]
label_predict: [  13   51  147  744  813  896  903 1092]
label_predict: [ 147  189  813 1092]
label_predict: [ 161  304  813  962 1059 1092]
label_predict: [  51  194  744  813 1046 1092]
label_predict: [  13   51  147  483  737  738  776  813  830 1046]
label_predict: [ 147  156  189  612  671  744  813 1059 1092]
label_predict: [ 156  189  259  418  420  541  663  733  800  813  835  993 1084 1092]
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label_predict: [  79  194  671 1059]
label_predict: [ 147  189  744  813  896  903 1092]
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label_predict: [  13   79  121  147  189  776  813 1046]
label_predict: [ 369  586  766 1039]
label_predict: [ 51 147 156 189 322 369 612 671 780]
label_predict: [  25  161  189  813 1059 1092]
label_predict: [ 147  156  189  541  813  835  949 1092]
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label_predict: [ 147  156  189  418  541  813  949 1092]
label_predict: [ 125  161  204  304  634  872 1059]
label_predict: [  51   79  147  189  482  497  498  813  961 1059 1092]
label_predict: [ 147  156  189  259  541  813  949 1092]
label_predict: [  25  161  331  420  423  425  444  534  584  611  642  707  722  733
  734  738  751  797  800  813  897  953  974  993 1059 1092]
label_predict: [121 147 671]
label_predict: [  51   79  147  188  189  420  477  597  639  671  738  780  813  835
 1034 1046 1092]
label_predict: [ 121  433 1039]
label_predict: [ 147  188  189  369  428  597  744  803  813  950 1099]
label_predict: [  79  147  189  194  477  671  780  813 1034 1059 1092]
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label_predict: [147 189 597 671 744 780 813]
label_predict: [ 147  156  189  477  671  780  813  835 1092]
label_predict: [  79  194  487  671 1059 1062]
label_predict: [  79   99  487  489 1059 1062]
label_predict: [  13   51  111  147  480  483  725  737  738  776  813  830  923 1046
 1092]
label_predict: [  79  147  156  189  420  498  813  961 1059 1092]
label_predict: [ 147  813  896 1092]
label_predict: [  13  420  477  670  734  746  755  896  975 1092]
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label_predict: [ 121  813 1092]
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label_predict: [ 147  188  189  477  597  671  780  813  835 1092]
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label_predict: [ 147  189  671  780  813 1092]
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label_predict: [  13   51  147  480  483  737  738  776  813  830  923 1046]
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label_predict: [ 147  189  671  768  780 1034 1035]
label_predict: [ 147  156  189  259  418  541  542  579  813  949 1020 1072 1092]
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label_predict: [  13   51  147  189  813  896 1092]
label_predict: [  13  147  188  189  552  671  780 1034]
label_predict: [ 121  189  434  501  738  813 1046]
label_predict: [  51  147  156  584  671  780  813 1059 1092]
label_predict: [ 121  147  189  597  813  835 1092]
label_predict: [ 127  156  245  300  344  368  369  587  766 1059 1084]
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label_predict: [121 813]
label_predict: [  79  147  156  189  369  671  780  813 1059]
label_predict: [121 161 304 415 464 634 872]
label_predict: [  51  147  738  813 1092 1099]
label_predict: [  51  111  147  189  480  483  737  738  776  813 1046 1092]
label_predict: [ 189  259  418  541  800  813  835  993 1092]
label_predict: [ 13  51 147 189 552 626 671 780]
label_predict: [  51  147  189  800  813  835 1046 1092]
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label_predict: [ 156  189  245  300  368  369  436  587  766 1020 1039 1059 1084]
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label_predict: [  51  147  189  194  369  436  671  813 1059 1092]
label_predict: [ 121  433 1039 1059 1061]
label_predict: [ 147  156  369  487  813 1059]
label_predict: [  79  194  487  624  671  780 1059 1062]
label_predict: [ 147  156  189  420  813  835 1092]
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label_predict: [  13  615  813  896 1092]
label_predict: [  99  161  304  498  718  813  961 1092]
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label_predict: [  51   79  147  189  671  780  813 1034 1059]
label_predict: [ 121  433  813 1059 1092]
label_predict: [  51  147  156  189  212  283  515  584  671  813 1059 1092]
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label_predict: [ 147  189  418  663  800  813  835  949 1092]
label_predict: [  79  147  189  194  552  671  780 1034]
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label_predict: [ 147  189  718  813  896  903 1092]
label_predict: [121 161 304 464 634 754 872]
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label_predict: [  79  147  156  189  671  813 1059 1092]
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label_predict: [147 156 189 477 485 603 671 780]
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label_predict: [ 147  189  420  718  738  813  835  962 1092]
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label_predict: [  13   51  147  189  744  813  896  903 1092]
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label_predict: [ 121  369  726 1084]
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 1092]
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label_predict: [ 147  189  477  671  780 1034 1035]
label_predict: [125 161 204 304 464 634 872]
label_predict: [  51  147  586 1039]
label_predict: [  51  111  147  156  189  259  420  733  813 1046 1092]
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4130it [01:39, 42.94it/s]
label_predict: [121 313 420 718 738 962]
label_predict: [ 79 147 189 671 780]
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label_predict: [ 55 131 147 189 552 671 768 780]
label_predict: [  13  147  189  813  896  903 1092]
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label_predict: [ 79 121 147 189 433 671]
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label_predict: [  13   51  147  744  813  896 1092]
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label_predict: [ 99 121 125 161 204 304 415 872]
label_predict: [ 13 147 552 626 671]
label_predict: [ 121  194  813  844 1092]
label_predict: [  51   79  147  156  188  369  477  487  647  671  780 1059 1062]
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label_predict: [  13   51  111  147  420  483  573  616  733  734  737  738  776  813
 1046 1092]
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label_predict: [147 156 189 485 603 607 671 695 780]
label_predict: [  13  404  405  896  903 1092]
label_predict: [  51   79  147  156  189  369  477  489  612  671  780  813 1059 1092]
label_predict: [  13  147  189  655  776  813 1046 1092]
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label_predict: [ 13  14 127 147 369 552 567 626 671 780]
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label_predict: [121 415 724 922 955 962]
label_predict: [ 156  189  369  587  766  813  994 1059 1084]
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label_predict: [  13   51  111  147  189  480  483  501  737  738  776  813  923  931
 1046]
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label_predict: [  79   99  121  354 1059]
label_predict: [ 13 147 552 716]
label_predict: [ 147  189  718  813  835  896  903 1092]
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label_predict: [  25  161  331  423  444  534  584  611  642  734  797  800  813  953
  974  993 1059 1092]
label_predict: [121 415 684 724]
label_predict: [  79  147  188  189  671  780 1034 1035]
label_predict: [  99  125  161  304  489 1039 1059]
label_predict: [  13  404  405  896  903 1092]
label_predict: [ 13  51 147 189 671]
label_predict: [ 13 147 552 626 671 780]
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label_predict: [  51   79  147  156  369  671  780 1059]
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label_predict: [  13  147  188  231  615  744  756  813  896 1092 1099]
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label_predict: [ 79 121 189 194]
label_predict: [  51  147  189  597  813  835 1092]
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label_predict: [  79  147  189  477  597  671  768  780  813 1034 1035]
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label_predict: [  79  161  304  813 1092]
label_predict: [  51  147  189  304  489  554  612  671  720  744  813  903 1059 1092]
label_predict: [  79  147  156  184  194  489  584 1059]
label_predict: [ 147  189  813 1092]
label_predict: [ 121  147  189  373  597  768 1034 1035]
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4213it [01:41, 36.30it/s]
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label_predict: [ 79 121 194 369 415]
label_predict: [  51  147  189  671  813  835 1046 1092]
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label_predict: [  75  147  189  306  511  655  718  744  811  813  896  903 1092]
label_predict: [ 121  184  433  962 1039 1059]
label_predict: [ 147  189  259  418  541  800  813  835  949 1046 1092]
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label_predict: [ 147  189  663  718  796  800  813  896  903 1092]
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label_predict: [  79  147  188  189  518  671  744  780 1034 1059 1099]
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label_predict: [  51  147  189  813 1092]
label_predict: [121 558]
label_predict: [ 147  156  189  813 1092]
label_predict: [ 147  189  744  813  903 1092]
label_predict: [  13  147  671  813 1092]
label_predict: [  79  184  249  369  489 1059]
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4234it [01:42, 44.92it/s]
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label_predict: [  13   51  147  189  813  896 1092]
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label_predict: [  51   79  147  156  189  369  612  671  780 1059]
label_predict: [121 147 194 671]
label_predict: [ 147  189  813 1092]
label_predict: [  13  147  194  813  896 1092]
label_predict: [ 121  369 1039 1059]
label_predict: [ 13 519]
label_predict: [  51  147  188  477  671  780  813 1046 1092]
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label_predict: [  51  147  156  189  477  554  612  671  744  780  813  903 1092]
label_predict: [ 121  182  813  872 1059]
label_predict: [  79  194  671  813 1059 1092]
label_predict: [ 188  189  420  813 1059]
label_predict: [ 147  189  813 1092]
label_predict: [ 147  156  189  671  780  813 1092]
label_predict: [ 121  182  188  420  464  754 1059]
label_predict: [ 121  182  369  464  493  634  754  922 1039]
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label_predict: [  13   51  147  813 1092]
label_predict: [ 147  189  597  671  768  780 1034 1035]
label_predict: [ 111  147  189  420  480  483  501  573  737  738  776  813  830 1046]
label_predict: [ 188  489  612  671  780 1059]
label_predict: [  99  161  217  236  304  331  718  774  813 1059 1061]
label_predict: [  13   51  147  189  626  813  896  961 1092]
label_predict: [  13  147  776  813 1046 1092]
label_predict: [ 111  147  189  738  776  813  835 1046 1092]
label_predict: [ 147  369  436  671  744  813  903 1019]
4265it [01:42, 44.92it/s]
label_predict: [  13   51  111  147  480  483  737  738  776  813  923 1046 1092]
label_predict: [ 13  51  79 147]
label_predict: [ 51 111 147 156 189 369 586]
label_predict: [ 79 121 189 813]
label_predict: [ 121 1059]
label_predict: [  51   79  147  156  189  477  671  780  813 1059 1062 1092]
label_predict: [  13  147  369  436  552  720  813 1019]
label_predict: [  13   51  147  189  483  501  519  738  776  813 1046 1092]
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4275it [01:43, 45.76it/s]
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label_predict: [ 121  161  718  813  961 1059 1092]
label_predict: [  13   51  147  156  189  436  671  813 1059 1092]
label_predict: [  13   51  147  813  896 1092]
label_predict: [121 498 813 961]
label_predict: [  13   14  147  552  626 1056]
label_predict: [ 147  156  369  586  587  766  833  884 1020 1039 1059 1084]
label_predict: [  51   99  161  304  813  961 1092]
label_predict: [  13  404  405  896  903 1092]
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label_predict: [  99  125  161  192  304  331  493  495 1039]
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 1046 1092]
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label_predict: [ 79 121 194 813]
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label_predict: [  13  405  445  698  813  896  903 1092]
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label_predict: [ 147  156  189  418  541  542  813  835  949 1072 1092]
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label_predict: [ 13  51 127 147 369 552 671 675 780 813 978]
label_predict: [  79  188  189  489  671  780 1059]
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label_predict: [ 147  189  194  813 1092]
label_predict: [  79  304  369 1059]
label_predict: [ 147  156  189  259  418  541  542  813  835 1092]
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label_predict: [ 121  161  304  369  634  872 1059]
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label_predict: [  51  111  147  189  501  737  738  776  813 1046 1092]
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label_predict: [ 194  404  744  813 1020 1046 1092]
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label_predict: [  79  147  156  189  671  780  813 1092]
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label_predict: [  51  147  156  189  212  584  586  671  813 1059]
label_predict: [ 147  189  430  434  501  545  559  615  621  622  649  738  825  850
  871  931 1038]
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label_predict: [ 41 131 147 189 552 671 768 780]
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label_predict: [ 99 121 161 304 369 464 493 634 754 840 872]
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label_predict: [ 147  156  189  259  418  541  813  835  949 1092]
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label_predict: [  26   51  147  156  189  212  283  554  612  671  744  746  780  813
  889  903 1059 1080]
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 1092]
label_predict: [ 147  189  671  780  813  835 1034]
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label_predict: [ 147  189  813  896 1092]
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label_predict: [ 13  51 147 189 552 626 671 780]
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label_predict: [ 111  147  156  189  418  477  671  780  813  835 1034 1035 1046 1092]
label_predict: [  79  121 1059]
label_predict: [  79  188  477  489  612  671  780 1059 1062]
label_predict: [  51  147  189  413  430  434  501  559  738  747  813  835  871 1092]
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label_predict: [147 156 189 485 603 607 671 780]
label_predict: [ 147  189  194  671  780 1034 1046]
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label_predict: [ 147  156  189  813  896  903 1092]
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label_predict: [  79  147  194  671  780 1034]
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label_predict: [ 147  194  369  655  671  744  780  813 1092]
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label_predict: [  51  147  189  813 1092]
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 1092]
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 1092]
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 1099]
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label_predict: [  51  147  189  430  434  559  666  813 1092]
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 1092]
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label_predict: [ 147  156  189  259  418  541  542  543  800  813  835  949  993 1072
 1092]
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label_predict: [  13  813  896  903 1092]
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label_predict: [ 121  433  962 1034]
label_predict: [ 121  180  420  498  813 1059 1092]
label_predict: [  51  111  147  156  189  813  835 1046 1092]
label_predict: [147 189 304 369 450 558 744 813 903]
label_predict: [  51  147  189  813 1059 1092]
label_predict: [  99  161  304  718  813  961 1092]
label_predict: [  25   79  161  194  813 1059 1092]
label_predict: [  51  147  156  189  259  813 1092]
label_predict: [ 147  189  612  744  813  903 1092]
4961it [01:58, 45.91it/s]
label_predict: [ 147  189  813 1092]
label_predict: [ 147  194  671  780 1034]
label_predict: [  79  147  189  194  671  780 1034]
label_predict: [ 147  189  369  587  766 1059 1084]
label_predict: [  79  147 1059]
label_predict: [ 147  189  738  813 1046 1092]
label_predict: [ 51 147 189 639 671 780 950]
label_predict: [  51   79  147  188  189  194  477  671  780 1034]
label_predict: [  13  698  813  896 1092]
label_predict: [ 161  813  896 1059 1092]
4972it [01:58, 47.74it/s]
label_predict: [  79  147  156  189  482  498  813  961 1092]
label_predict: [ 13  79 477 671 780 813]
label_predict: [  13   51  147  744  813  896  903 1092]
label_predict: [ 369  726 1039 1059]
label_predict: [  79  194  487  671  813 1059 1062]
label_predict: [ 121  147  433  744  813  903 1092]
label_predict: [  79  147  156  189  369  436  671  813 1059 1092]
label_predict: [121 161 304 464 634 754 813 872]
label_predict: [ 121  125  304  369  464 1039]
label_predict: [ 147  188  189  738  813 1059 1092]
label_predict: [  99  121  420  813 1059]
4977it [01:58, 39.45it/s]
label_predict: [  13   51  111  147  480  483  737  738  776  813  830 1046 1092]
label_predict: [ 147  189  538  616  655  671  744  813 1046 1092]
label_predict: [  13   51  147  813 1046]
label_predict: [ 147  156  189  420  813 1092]
label_predict: [ 147  189  369  373  597  671  768  780 1034 1035]
label_predict: [ 483  737  738  776  813  830 1046 1092]
4987it [01:59, 42.35it/s]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [  79  147  156  189  498  813 1059 1092]
label_predict: [  33  121  194  433  582 1023 1059]
label_predict: [ 161  236  304  744  813  903  962 1092]
label_predict: [  51  147  189  813  896 1092]
label_predict: [121 184 313 962]
label_predict: [ 147  188  189  194  671  780 1034]
label_predict: [  51  147  189  430  434  501  559  744  813 1092]
label_predict: [ 121  147  189  434  597  738  813 1092]
label_predict: [ 147  189  744  813  903 1092]
4999it [01:59, 46.85it/s]
label_predict: [  13  147  189  671  780  813 1034]
label_predict: [  99  161  304  718  813  961 1092]
label_predict: [ 13 147 552 626 671 780]
label_predict: [415 552 671 684 738 780 925]
label_predict: [304 313 962]
label_predict: [ 147  156  184  369  436  587  766 1020 1039 1059]
label_predict: [313 813 903 962]
label_predict: [  99  304  369  884 1039]
label_predict: [ 194  369  487  671  780  813 1059 1092]
label_predict: [  51  147  156  189  212  283  515  584  671 1059]
label_predict: [  99  121  498  718  813  961 1092]
5004it [01:59, 35.87it/s]
label_predict: [ 147  156  189  259  418  541  542  579  813  949 1072 1092]
label_predict: [  13  147  813  896  903 1092]
label_predict: [121 147 189 768]
label_predict: [ 13 127 147 552 671 780]
label_predict: [ 147  189  418  541  813  835  949 1092]
5009it [01:59, 36.49it/s]
label_predict: [ 147  156  189  259  418  541  800  813  835 1092]
label_predict: [  79  147  671  780 1059]
label_predict: [  51  147  189  738  776  813 1046 1092]
label_predict: [  51  161  189  813 1059 1062 1092]
label_predict: [ 147  189  194  671  768  780 1034 1035]
label_predict: [ 483  494  737  738  776  813 1033 1046]
label_predict: [  13   51  147  813  896 1092]
label_predict: [  29  147  156  188  189  418  541  542  671  733  744  813  835 1092
 1099]
5019it [01:59, 40.58it/s]
label_predict: [  51  147  430  501  813  961 1046 1092]
label_predict: [  79  147  671  780  813 1046 1092]
label_predict: [  79  194  487  758 1059 1062]
label_predict: [  51   79  147  156  227  322  477  489  584  612  671  780  954 1059]
label_predict: [ 13  51 147 552 671 716 780]
label_predict: [ 147  189  718  813  896 1092]
label_predict: [ 13  51 147 369 436 552 671 780]
label_predict: [  13   51  147  189  813 1092]
label_predict: [  13  147  744  813  896  903 1092]
label_predict: [  13   79  147  671  780  813 1046 1092]
5024it [01:59, 42.83it/s]
label_predict: [  13  156  189  300  369  587  726  766 1020 1059 1084]
label_predict: [161 304 369 464 634 872]
label_predict: [  13   51  147  189  813  896  903 1092]
label_predict: [ 147  156  189  259  813  835 1092]
label_predict: [  51  111  147  156  189  212  369  586 1039 1059]
label_predict: [  51  147  156  189  485  813 1092]
5034it [02:00, 38.73it/s]
label_predict: [ 121  369  597 1039]
label_predict: [  13  147  813  896 1092]
label_predict: [ 147  161  189  204  306  511  634  813  872  903 1092]
label_predict: [ 147  189  718  800  813  835 1092]
label_predict: [ 13  14 127 147 552 555 626 671 716 780]
label_predict: [  51  147  188  189  813 1059 1092]
label_predict: [ 147  189  554  744  813  896  903 1092]
label_predict: [  13   51  111  147  189  738  813 1046 1092]
label_predict: [ 147  189  671  780  813 1034 1046 1092]
label_predict: [  51  147  189  580  738  813  835 1046 1092]
5044it [02:00, 35.17it/s]
label_predict: [  51  111  147  189  616  813 1046 1092]
label_predict: [  79  121  147  189  194  369  813  844 1092]
label_predict: [ 131  147  189  552  671  768  780 1034]
label_predict: [  79  147  156  189  436  744  813  903 1059 1092]
label_predict: [ 121  161  304  813  961 1092]
label_predict: [ 147  188  194  813 1046 1059 1092]
5054it [02:00, 39.33it/s]
label_predict: [ 147  156  189  259  418  541  542  800  813  835  949 1072 1092]
label_predict: [107 147 156 165 188 189 477 489 554 612 671 780 813 835]
label_predict: [  51   79  147  156  189  477  612  671  780  813 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [ 147  161  189  204  304 1020 1059]
label_predict: [ 147  189  434  738  813  835  949 1092]
label_predict: [ 147  156  189  259  418  541  542  813  835  949 1072 1092]
label_predict: [ 111  147  156  189  259  813  835 1092]
label_predict: [  79  194  487  671 1059 1062]
label_predict: [ 121  433  552 1039 1059]
5064it [02:00, 43.54it/s]
label_predict: [  51  147  189  718  813  896  903 1092]
label_predict: [ 147  156  189  369  436  813 1059 1092]
label_predict: [  13   14   51  147  552  626  671  780  976 1056]
label_predict: [  51  147  156  189  813  835 1092]
label_predict: [  13   51  147  813  896 1092]
label_predict: [156 189 485 603 671 695 780]
label_predict: [  51  111  147  156  189  671  813  835 1046 1092]
label_predict: [ 147  189  420  813 1092]
label_predict: [  13  369  552  716  872 1059]
label_predict: [  13  147  813  896  903 1092]
5069it [02:01, 44.59it/s]
label_predict: [  51   99  121  161  304  433  718  724  813  961 1059 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [  51  111  147  156  189  738  813 1046 1092]
label_predict: [  13  405  896  903 1092]
label_predict: [ 121  147  304 1059]
label_predict: [ 13 477 552 813]
label_predict: [ 51 121 147 189]
label_predict: [  13  147  189  813  896  903 1092]
5079it [02:01, 42.88it/s]
label_predict: [ 147  189  597  671  768  780 1034 1035]
label_predict: [ 121  147  369  436 1059]
label_predict: [ 147  189  813  835 1092]
label_predict: [ 13 147 189 369 436 552 671 720 780]
label_predict: [  79  147  189  813 1059 1092]
label_predict: [ 147  189  813 1092]
label_predict: [ 13  14  51 147 552 626 671 780]
label_predict: [ 51 147 156 189 369 671 780]
label_predict: [  13   51  147  189  813 1046 1092]
label_predict: [  51  111  147  189  420  733  738  776  813 1046 1092]
5090it [02:01, 45.96it/s]
label_predict: [ 161  304  369  487  489  758 1059]
label_predict: [ 13  51 121 127 147 189 289 369 552 671 738 754 780]
label_predict: [  13   14   51  147  552  626  671  716  780 1056]
label_predict: [  99  121  161  304  487  718  813 1059]
label_predict: [ 147  189  663  718  813  896  903 1092]
label_predict: [ 147  813  896 1092]
label_predict: [ 131  147  189  671  768  780 1034]
label_predict: [  99  121  161  304  718  813 1059 1092]
label_predict: [   3    9   11   15   17   19   20   26   29   36   39   41   44   48
   51   52   56   58   60   61   67   72   73   76   85   90  101  105
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 1050 1057 1062 1063 1064 1065 1067 1068 1070 1077 1078 1086 1091 1095
 1098]
label_predict: [  79  194  354  369  489  671  780 1059]
5100it [02:01, 45.31it/s]
label_predict: [  79  156  184  194  489  584  671  780  954 1059]
label_predict: [  51  147  156  189  369  477  612  671  780 1034]
label_predict: [ 121  188 1039 1059]
label_predict: [  79  121  487  758 1059 1062]
label_predict: [  13   51  147  156  189  813 1046 1092]
label_predict: [  79  121  194  498 1059 1062]
label_predict: [ 111  131  147  156  189  420  477  671  738  780  813 1046 1092]
label_predict: [  51  111  147  189  420  480  483  501  737  738  776  813 1046 1092]
label_predict: [  79  147  189  671  780 1034]
5110it [02:01, 46.67it/s]
label_predict: [  13   51  111  147  483  501  737  738  776  813 1046 1092]
label_predict: [  13   51  147  189  813  896  903 1092]
label_predict: [  79  184  194  487 1059 1062]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [  79  147  156  227  612  671  780  813 1092]
label_predict: [  51  147  189  813  896 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [  79  147  156  194  487  671  780  813 1059 1062]
label_predict: [  99  161  189  304  718  813  961 1092]
label_predict: [  99  161  304  718  774  813 1061]
5120it [02:02, 46.70it/s]
label_predict: [ 188  189  194  369  671  780 1034]
label_predict: [  9  33  99 313 420 738 813 835 962]
label_predict: [ 79 121 147 189 194 369 671]
label_predict: [ 13  51 147 189 430 434 480 483 501 545 559 738 931]
label_predict: [ 188  489  612  671 1059]
label_predict: [  51  147  156  189  212  515  671  780 1059]
label_predict: [  51  147  194  813 1046 1092]
label_predict: [  13  147  430  434  501  559  813 1092]
label_predict: [ 147  189  671  780  813  835 1092]
label_predict: [ 13  51 147 434 813]
5130it [02:02, 47.11it/s]
label_predict: [  13  405  813  896 1092]
label_predict: [  79  194  487 1059 1062]
label_predict: [  51  147  189  430  434  559  747  813 1092]
label_predict: [ 121 1059]
label_predict: [147 156 189 485 603 607 671 695 780]
label_predict: [ 13 121 433 552 671 780]
label_predict: [ 718  813  896  903 1092]
label_predict: [  99  121  188  369  433  464  718  774  813 1039 1059]
label_predict: [  79  121  182  194 1059 1062]
label_predict: [  51  111  147  189  259  813 1046 1092]
5140it [02:02, 46.39it/s]
label_predict: [  51   79  147  156  194  477  584  612  671  780  813 1059 1092]
label_predict: [ 147  189  744  813  896  903 1092]
label_predict: [ 111  147  156  189  477  671  780  813  835 1092]
label_predict: [ 483  737  738  776  813 1046 1092]
label_predict: [  79  194  477  671  780 1034 1046 1099]
label_predict: [ 194  813 1046 1092]
label_predict: [ 121  147  626  671  724  813 1092]
label_predict: [  13  147  813  896  903 1092]
label_predict: [  51  147  434  615  744  813  896 1092]
label_predict: [ 147  189  813  835 1092]
5150it [02:02, 46.11it/s]
label_predict: [  51  147  189  744  813  903 1092]
label_predict: [  79  147  189  194  477  597  612  671  744  780  813 1034 1046]
label_predict: [  79  161  194  487  813 1059 1092]
label_predict: [ 147  189  813 1092]
label_predict: [  51  147  189  813  835 1092]
label_predict: [  79  147  184  189  369  487  833 1059]
label_predict: [ 79 121 194 671 813 844]
label_predict: [  13  405  813  896  903 1092]
label_predict: [  79  147  189  194  655  671  780  813 1092]
label_predict: [ 121  433  464 1039 1059]
5160it [02:03, 46.28it/s]
label_predict: [  13  147  813  896  903 1092]
label_predict: [ 121  184  369  587  766  833  884 1039 1059]
label_predict: [  79  147  189  335  639  671  780  925 1034 1035]
label_predict: [ 111  147  189  420  483  733  738  776  813 1046 1092]
label_predict: [ 147  156  189  259  418  541  813  835 1092]
label_predict: [  13   51  147  813 1092]
label_predict: [  79  147  156  189  487  671  780 1059 1062]
label_predict: [ 111  147  189  480  483  501  737  738  776  813  931  975 1046 1092]
label_predict: [ 121  369  450  558  582  744 1023 1061 1099]
label_predict: [  79  147  156  194  477  487  489  584  671  780  813 1059 1062]
5170it [02:03, 45.95it/s]
label_predict: [  79  147  156  189  671  780  813 1046 1059 1062 1092]
label_predict: [  13  813 1092]
label_predict: [  51   79  121  147  189  194  813 1059 1092]
label_predict: [161 304 369 634 813 872]
label_predict: [ 13  51 147 189 552 626]
label_predict: [ 147  156  189  671  738  813 1059 1092]
label_predict: [  79  121  369 1059]
label_predict: [  79  194  738  813 1059 1062]
label_predict: [ 13  14  51 147 552 626 716 780]
5180it [02:03, 45.73it/s]
label_predict: [ 147  156  189  744  813  896  903 1092]
label_predict: [147 189 485 671 780]
label_predict: [  13   51  147  156  671  780  813 1092]
label_predict: [  79  121 1059]
label_predict: [  51   79  147  156  489  584  612  671  744 1059]
label_predict: [ 13 147 189 369 552 626 671 780]
label_predict: [  79  194  487 1059 1062]
label_predict: [ 147  156  189  259  418  541  542  579  813  835  949 1072 1092]
label_predict: [ 147  156  189  671  744  780  813  903 1092]
label_predict: [  79  147  188  813 1059 1092]
5190it [02:03, 47.02it/s]
label_predict: [  79  121  194  304  487  809  813 1059 1062]
label_predict: [  13   51  147  189  813 1092]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [ 13  51 147]
label_predict: [ 51 147 189 434 519]
label_predict: [ 13  51 147 477 671 780]
label_predict: [  13  813  872  896  903 1092]
label_predict: [  25  121  161  304  718  813  962 1059]
label_predict: [ 147  156  189  744  813  835 1092]
label_predict: [   2   13   16   17   19   22   24   29   31   37   39   45   48   52
   54   62   74   76   78   79   80   84   89   90   92   93   94   98
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 1009 1010 1013 1015 1017 1023 1024 1025 1026 1030 1032 1034 1037 1039
 1041 1043 1048 1050 1052 1054 1055 1059 1062 1064 1065 1075 1078 1079
 1081 1082 1083 1084 1086 1088 1095 1098 1099 1101]
5200it [02:03, 47.75it/s]
label_predict: [  99  121  161  304  489  774 1059]
label_predict: [ 79 194 420 813 844]
label_predict: [  51  147  156  189  541  542  813 1046 1092]
label_predict: [  99  161  217  236  304  718  774  813 1059 1061]
label_predict: [ 114  121  217  236  304  369 1039 1059 1061]
label_predict: [  51  147  156  189  212  671  780  813 1059 1092]
label_predict: [ 369  420  754 1059]
label_predict: [ 121  304  369 1039 1059]
label_predict: [  51  147  189  813 1092]
label_predict: [  51  147  156  212  369  586  766  833 1039 1059]
5210it [02:04, 46.43it/s]
label_predict: [ 121  369  726 1039]
label_predict: [ 121 1059]
label_predict: [ 79 182 194 754 844]
label_predict: [ 13  51 147 552 626 671 780]
label_predict: [ 147  189  378  671  768  780 1034]
label_predict: [ 483  501  516  519  737  738  813  993 1033 1046]
label_predict: [  51  111  147  813 1046 1092]
label_predict: [ 121  813 1059]
label_predict: [  79  147  156  188  189  420  477  671  733  780  813  835 1046 1092
 1099]
label_predict: [  79  121  813  961 1059 1062 1092]
5215it [02:04, 46.92it/s]
label_predict: [ 313  420  813  903  962 1092]
label_predict: [ 147  189  418  800  813  835 1092]
label_predict: [ 147  156  189  420  671  813  835 1092]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [  13   51  147  189  813 1092]
label_predict: [  13   14  127  147  369  552  555  626  671  716  780 1066]
label_predict: [  51  147 1039 1059]
label_predict: [  51  147  189  813  835 1092]
label_predict: [  79  161  194  304  487 1059]
label_predict: [  51  147  188  189  369  477  597  639  671  744  780  950 1034 1035]
5226it [02:04, 47.73it/s]
label_predict: [  51  147  189  813  896 1092]
label_predict: [  51  147  188  189  369  671  780  813 1034 1059 1092]
label_predict: [  99  161  304  331  351  718  813  961 1092]
label_predict: [  51  147  189  194  744  813 1092]
label_predict: [ 147  189  813  835 1092]
label_predict: [ 51 147 189 212 671 720 744 780 813]
label_predict: [ 147  813  896 1092]
label_predict: [ 147  156  189  259  418  541  813  835 1092]
label_predict: [  13   14   51  147  552  626  671  780 1056]
label_predict: [  13  445  477  655  813  896  903 1092]
5236it [02:04, 47.09it/s]
label_predict: [  51  147  332  369  436  671  744  780  813 1019]
label_predict: [ 147  189  194  671  744  780  813  896  903 1092]
label_predict: [ 13  51 147 552 626]
label_predict: [ 147  189  259  813  835 1092]
label_predict: [  79  369  586 1039]
label_predict: [ 121  189  194  420 1059]
label_predict: [ 121  369 1039 1059]
label_predict: [ 13  51 147 369 552 626 671 780]
label_predict: [ 147  189  552  597  671  780 1034]
label_predict: [  51   99  161  304  718  813  961 1092]
5246it [02:04, 46.04it/s]
label_predict: [147 188 189 369 436 597 671 744 780]
label_predict: [  13   51  111  147  189  434  480  483  501  545  559  737  738  813
  931 1046]
label_predict: [  13  121  147 1046]
label_predict: [  13   51  147  189  813 1092]
label_predict: [ 121  147  188  189  597  671  744  813 1034 1035]
label_predict: [  51  147  156  189  477  671  780  813  835 1092]
label_predict: [  13  121  188  369  552 1039 1059]
label_predict: [ 156  189  259  418  420  541  663  733  800  813  835  993 1084 1092]
label_predict: [  51   79  147  156  189  369  671  780  813 1059 1092]
5257it [02:05, 48.47it/s]
label_predict: [ 147  189  813 1092]
label_predict: [  51   79  189  487  498  671  813 1059 1062]
label_predict: [  79   99  121  489 1059]
label_predict: [  79   99  147  189  498  718  813  961 1092]
label_predict: [  79  147  156  189  498  671  813 1059 1062 1092]
label_predict: [  79  147  156  194  671  780  813 1059 1062]
label_predict: [  79  147  189  498  813  961 1092]
label_predict: [  79   99  304  487  489  758 1059]
label_predict: [  79  182  184  188  231  313  464  754  962 1039 1059]
label_predict: [ 147  156  189  430  434  501  559  738  813  835 1092]
label_predict: [  51  147  189  430  434  559  813 1092]
5267it [02:05, 46.36it/s]
label_predict: [  13   51  147  194  671  813 1092]
label_predict: [  13   51  147  716  813  896  903 1092]
label_predict: [  79  194  671 1059]
label_predict: [  13   79 1059]
label_predict: [ 111  147  189  259  418  541  800  813  835 1046 1092]
label_predict: [  99  121  125  161  304  487  718 1059]
label_predict: [  79  194  477  671  780 1034 1046 1059]
label_predict: [  51  147  189  616  733  813  952 1092]
label_predict: [ 121  188  231  313  369  464  507 1039 1059 1085]
label_predict: [ 188  239  489  612  754 1059]
5277it [02:05, 47.11it/s]
label_predict: [  79  147  156  189  194  671  813 1059 1092]
label_predict: [  25  161  194  584  734  758  813  953 1059 1062 1092]
label_predict: [ 147  189  612  655  671  744  811  813  835  903 1092]
label_predict: [   3    9   11   15   17   19   20   25   26   29   36   41   44   48
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  917  918  921  925  926  929  936  941  942  943  946  947  948  952
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 1012 1017 1024 1027 1034 1037 1041 1046 1050 1057 1063 1064 1065 1067
 1068 1070 1078 1086 1091 1092 1095 1098 1100]
label_predict: [ 147  156  189  259  418  541  542  579  753  813  949  993 1072 1092]
label_predict: [  13  194  480  483  494  725  737  738  744  776  813  826  830  923
 1046 1092]
label_predict: [  79  147  156  189  194  477  639  671  780  950 1034 1035 1046]
label_predict: [  51  147  156  189  369  612  671  780 1059]
label_predict: [  51  111  147  189  483  738  776  813 1046 1092]
label_predict: [ 121  147  189  433  718  813  903 1092]
5287it [02:05, 45.27it/s]
label_predict: [  79  147  156 1059]
label_predict: [ 147  189  194  671  738  780  813 1034 1046 1059]
label_predict: [  51  147  189  744  813  896 1092]
label_predict: [  79  121  184  194  369 1023 1059]
label_predict: [  79  147  156  813 1059 1062]
label_predict: [  51  111  147  189  259  616  733  734  813  993 1046 1092]
label_predict: [  79  194  369  813 1059 1099]
label_predict: [  51   76  147  189  813  961 1059 1092]
label_predict: [  79  147  189  597  671  780  813 1034]
5297it [02:05, 44.96it/s]
label_predict: [  13  405  896  903 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [  67  156  171  189  223  245  300  337  355  368  369  554  587  726
  766 1020 1059 1084]
label_predict: [ 180  188  231  420  428  615  733  738  744  750  803  813  832  890
  911 1092 1099]
label_predict: [ 718  813 1059 1092]
label_predict: [ 79 147 612 671]
label_predict: [  13   51  147  189  813  903 1092]
label_predict: [  51  111  147  189  616  733  813 1046 1092]
label_predict: [  51   79  121  147  156  189  482  497  498  813  961 1092]
5302it [02:06, 43.43it/s]
label_predict: [ 147  189  434  738  813  835 1092]
label_predict: [  51  147  156  189  212  283  515  671  780  813 1059 1092]
label_predict: [ 147  189  194  671  780 1034]
label_predict: [ 147  189  612  655  671  744  780  813  903 1092]
label_predict: [  51  147  194  813 1092]
label_predict: [  51  147  189  369  597  671  780 1034 1035]
label_predict: [  51  147  156  189  671  780  813 1059 1062]
5312it [02:06, 40.14it/s]
label_predict: [ 156  180  188  189  744  750  803  813 1099]
label_predict: [ 147  189  671  780  950 1034]
label_predict: [125 161 204 304 634 872]
label_predict: [  51  147  156  189  212  671  780  813 1059 1092]
label_predict: [ 147  156  189  541  813 1092]
label_predict: [ 161  304  487 1059]
label_predict: [  18   25  161  194  331  423  425  444  534  584  611  642  707  722
  734  738  751  758  797  800  813  897  953  974  993 1059 1092]
label_predict: [  70  147  189  418  663  800  813  835 1092]
label_predict: [  13   14   51  147  552  626  671  780 1056]
5322it [02:06, 38.41it/s]
label_predict: [121 147 552]
label_predict: [  13  477  671  780  813 1092]
label_predict: [  13  147  813  872  896 1092]
label_predict: [  13  404  405  896  903 1092]
label_predict: [ 13 147 189 552 671 768 780]
label_predict: [ 121  433 1034 1039]
label_predict: [ 147  156  189  194  489  612  671  744  780  813  903 1059 1092]
label_predict: [ 13  51 121 147 434 813]
5327it [02:06, 39.35it/s]
label_predict: [  79  156  189  194  487  624  671  780 1059 1062]
label_predict: [ 147  615  813  896 1092]
label_predict: [  13  147  182  189  813 1092]
label_predict: [  13  147  813  896  903 1092]
label_predict: [  79  304  487  671 1059]
label_predict: [ 147  189  194  477  655  671  744  780  813 1092]
label_predict: [  51  147  156  189  612  671  780  903 1059]
label_predict: [  79  184  487 1059 1062]
label_predict: [  79  147  156  189  671  780  813 1046 1092]
5337it [02:06, 39.91it/s]
label_predict: [  51   79  147  156  189  482  497  498  813  949  961 1092]
label_predict: [  13  147  189  369  552  626  671  780 1034]
label_predict: [ 51 147 156 189 477 485 671 780]
label_predict: [ 147  813  896 1092]
label_predict: [ 13  51 147 552 671 780]
label_predict: [ 13 131 147 189 552 671 768 780]
label_predict: [  79  147  188  189  194  477  671  780 1034 1035]
label_predict: [ 194  404  744  813  896 1092]
5346it [02:07, 38.38it/s]
label_predict: [  13  111  147  483  737  738  776  813 1046]
label_predict: [  51  147  189  813  896 1092]
label_predict: [  51  111  147  189  480  483  501  737  738  776  813 1046]
label_predict: [ 79 147 188 189 477 612 671 780 813 835]
label_predict: [121 813 962]
label_predict: [  51  121  147  433  434  813 1059]
label_predict: [  51  147  189  813  903 1092]
label_predict: [ 147  188  189  498  738  813 1092]
5356it [02:07, 39.85it/s]
label_predict: [  99  121  498  718  813  896 1092]
label_predict: [  79  147  156  189  194  477  671  780 1034]
label_predict: [ 13  51 147 552 626]
label_predict: [  51   79  147  156  189  487  671  813  961 1059 1062 1092]
label_predict: [  13  147  189  477  671  780  813 1092]
label_predict: [  51  147  189  212  554  612  744  746  813  889  903 1080 1092]
label_predict: [  13   51  147  189  813 1046 1092]
label_predict: [ 194  477  671  738  744  780  813 1046 1092]
label_predict: [  51  147  738  813 1046 1092]
5361it [02:07, 39.82it/s]
label_predict: [  13  147  813  896 1092]
label_predict: [  51  147  156  189  259  420  738  813  835 1046 1092]
label_predict: [  51   79  147  156  189  369  671  813 1059 1092]
label_predict: [ 147  156  189  744  813  835 1092]
label_predict: [  13   79  147  477  671  780  813 1024 1092]
label_predict: [ 147  813  896 1092]
label_predict: [  79  194  369  482  487  498  813 1059 1062]
label_predict: [  79  147  189  671  780  813  835 1046 1092]
5370it [02:07, 40.26it/s]
label_predict: [  33  121  582  738  813  962 1023 1059 1092]
label_predict: [ 121 1034]
label_predict: [ 121 1059]
label_predict: [  79  116  121  161  194  304  415  487  724  758 1059]
label_predict: [  51  147  156  189  283  813 1059 1092]
label_predict: [  13  404  445  477  655  813  896  903 1092]
label_predict: [  79   99  304  369 1059 1061]
label_predict: [ 111  147  480  483  501  737  738  776  813  830  923  931 1046]
label_predict: [ 147  182  813 1059 1092]
label_predict: [  51  147  156  189  212  671  780  813 1059]
5381it [02:08, 44.53it/s]
label_predict: [ 147  194  404  813 1020 1092]
label_predict: [121 304 415 724 922 955 962]
label_predict: [  51  147  194  404  744  813 1020 1092 1099]
label_predict: [  79  194 1059]
label_predict: [  79  147  156  189  194  671  813 1059 1092]
label_predict: [ 121  147  189  813 1092]
label_predict: [ 147  189  434  597  813  835 1092]
label_predict: [  99  121  304  718  813 1092]
label_predict: [  51  147  156  189  212  369  671  813 1059 1092]
label_predict: [  79  147  671  776  780  813 1034 1046]
5391it [02:08, 45.92it/s]
label_predict: [  13   14   51  147  552  626  671  780 1056]
label_predict: [ 111  147  189  259  738  776  813 1046 1092]
label_predict: [ 111  147  189  434  480  483  501  737  738  776  813 1046]
label_predict: [121 161 204 304 415 450 464 634 872]
label_predict: [  51  111  147  156  189  259  541  813 1046 1092]
label_predict: [  79  121  194  754 1039 1059]
label_predict: [ 79 121 194 813 844]
label_predict: [ 13  79 147 194 369 813]
label_predict: [  51  147  156  189  671  813 1059 1092]
label_predict: [  13  147  813  896 1092]
5401it [02:08, 41.82it/s]
label_predict: [ 194  369  813  872 1092]
label_predict: [ 51 121 147 189 671]
label_predict: [  13  405  896  903 1092]
label_predict: [  79  194  487  624  671 1059 1062]
label_predict: [ 121  194  282  369  420  489 1059]
label_predict: [ 147  156  189  813  835 1092]
label_predict: [  13  147  813 1092]
label_predict: [  99  121  369  718  813 1059 1092]
5412it [02:08, 45.45it/s]
label_predict: [ 121  147 1039 1059]
label_predict: [ 111  147  189  813 1046 1092]
label_predict: [  99  161  304  718  813  961 1092]
label_predict: [  51  121  147  776  813 1046 1092]
label_predict: [  51  147  156  212  369  671  744  780  813  889 1059 1080 1092]
label_predict: [ 147  189  313  718  744  813  903  962 1092]
label_predict: [ 147  156  189  259  418  541  813 1092]
label_predict: [  13   14  147  369  552  626  671  780 1034]
label_predict: [  79  125  304  354  369  754  922 1059]
label_predict: [  79  156  194  487  671  813  961 1059 1062]
5417it [02:08, 46.39it/s]
label_predict: [  13   14   51  147  552  626  671  780 1056]
label_predict: [  79  184  194  369  489  584 1059]
label_predict: [  51  121  147  189  671  780 1059]
label_predict: [ 147  156  189  418  541  542  543  796  813  835  940  949 1072 1092]
label_predict: [  13  189  405  896  903 1092]
5428it [02:09, 35.46it/s]
label_predict: [ 147  189  373  597  671  768 1034 1035]
label_predict: [  51  147  156  188  189  231  428  615  744  803  813  832 1092 1099]
label_predict: [  13  147  813 1046 1092]
label_predict: [  79  147  189  477  671  780  813 1034 1046]
label_predict: [  18   51   61  161  304  331  489  584  612  774  813 1059]
label_predict: [ 147  189  482  498  813  961 1092]
label_predict: [121 147 161 189 204 304 450 558 872]
label_predict: [  79  147  188  189  813 1059]
label_predict: [ 147  194  813 1046 1092]
label_predict: [  13   51  147  813 1046 1092]
label_predict: [ 188  487  647  758 1059]
5433it [02:09, 35.53it/s]
label_predict: [ 147  189  194  671  768  780 1034]
label_predict: [  13   51  147  156  813  896 1092]
label_predict: [ 13 121 147 552]
label_predict: [ 13  51 147 369 552 671 675 978]
label_predict: [ 147  189  378  671  768 1034]
label_predict: [  99  161  304  718  813  961 1092]
label_predict: [  13   51  147  189  813 1046 1092]
label_predict: [ 121  369  552 1039]
label_predict: [ 147  156  189  418  541  542  744  796  813  896  949 1072 1092]
5443it [02:09, 39.04it/s]
label_predict: [ 147  189  369  639  671  780  813 1034 1035]
label_predict: [ 147  156  189  259  418  541  813  835 1046 1092]
label_predict: [  79  121  147  189  194  369  671  780  833 1034]
label_predict: [  13  121  552 1039]
label_predict: [ 79 313 738 962]
label_predict: [ 13 147 552]
label_predict: [  51  111  147  189  813  896  903 1092]
label_predict: [  70  147  189  418  813  835 1046 1092]
label_predict: [  51   79  147  189  369  477  639  671  738  780  813 1034 1046 1059
 1092]
5453it [02:09, 42.72it/s]
label_predict: [  18   25   61  161  331  584  734  758  813  953 1059 1092]
label_predict: [121 147 304 369 558 903]
label_predict: [  79  121  194 1059]
label_predict: [ 121  147  189  433  436  813 1039 1059]
label_predict: [  51  147  189  813 1092]
label_predict: [  51  147  671  780 1059]
label_predict: [  99  121  161  304  489 1039 1059]
label_predict: [  51  147  156  188  744  803  813 1092 1099]
label_predict: [ 147  156  189  259  418  541  813  835 1092]
label_predict: [ 483  494  501  676  725  737  738  776  813  830  923  924  931 1033
 1046]
5463it [02:10, 44.59it/s]
label_predict: [  51  147  189  194  744  813 1092]
label_predict: [  13  194  477  483  738  776  813  830 1046 1092]
label_predict: [ 147  369 1059]
label_predict: [  51  111  147  189  483  573  737  738  776  813  830 1046 1092]
label_predict: [  70  147  189  418  800  813 1092]
label_predict: [  51  147  189  744  813  896  903 1092]
label_predict: [ 147  189  378  671  768  780 1034]
label_predict: [  79  147  156  188  477  597  612  639  671  780  813  950 1046 1092]
label_predict: [ 79 121 498 813 961]
label_predict: [  13   51  147  813  896 1092]
5474it [02:10, 45.89it/s]
label_predict: [ 147  189  418  663  813  835 1092]
label_predict: [ 147  156  189  259  418  485  541  542  813  835 1020 1092]
label_predict: [ 147  156  189  259  418  541  813  835 1092]
label_predict: [  79   99  125  161  304  487  758  961 1059]
label_predict: [  45   51  147  189  718  744  813  896  903 1092]
label_predict: [147 189 813 872]
label_predict: [  25  161  194  331  584  611  734  797  813  953  974 1059 1092]
label_predict: [ 147  189  420  738  813  835  962 1092]
label_predict: [  13   79  483  776  830 1046]
label_predict: [ 111  147  156  189  259  418  541  800  813  835  993 1046 1092]
5485it [02:10, 47.39it/s]
label_predict: [  13  405  896  903 1092]
label_predict: [121 147 188 189 813]
label_predict: [ 121  464  754 1039]
label_predict: [  51  121  147  188  189  552  671  780 1034]
label_predict: [  51  147  189  718  813  903 1092]
label_predict: [  79  121  194 1059]
label_predict: [  13  147  718  744  813  896  903 1092]
label_predict: [ 147  156  189  436  655  671  720  744  780  813  903 1092]
label_predict: [  79  147  156  189  194  671  780  813  903 1059 1092]
label_predict: [  13   51  147  189  813  896  903 1092]
5490it [02:10, 47.83it/s]
label_predict: [ 13  14 147 552 626 671 780]
label_predict: [  51   79  147  156  227  369  584  612  671  780  954 1030 1059]
label_predict: [  79  188  194  282  489  584 1059]
label_predict: [ 79 121 194 239 844]
label_predict: [  13  147  698  813  896 1092]
label_predict: [ 147  156  189  259  418  541  542  813  835  949 1072 1092]
label_predict: [  51  111  147  189  483  733  738  776  813 1046 1092]
5500it [02:10, 38.56it/s]
label_predict: [131 147 189 552 671 768 780]
label_predict: [ 13 147 552 626 671 780]
label_predict: [ 188  369  615  803 1034 1099]
label_predict: [  51  147  189  554  744  813  896  903 1092]
label_predict: [ 13  51 147 189 671]
label_predict: [  51  147  189  744  813  896  903 1092]
label_predict: [ 13  51 147 189 434 501 738 813]
label_predict: [ 116  125  161  304  487 1059]
label_predict: [ 111  147  189  259  418  541  800  813  835  949 1046 1092]
label_predict: [  79  147  188  194  671 1059]
5511it [02:11, 43.38it/s]
label_predict: [147 156 189 485 603 671 780]
label_predict: [  13   51  147  189  813  896  903 1092]
label_predict: [ 147 1059]
label_predict: [ 161  304 1059]
label_predict: [  51  147  813 1046 1092]
label_predict: [121 147 189 433 558 744 813 903 962]
label_predict: [  13   51  147  744  813  896  903 1092]
label_predict: [ 147  188  194  671  744  803  813 1092 1099]
label_predict: [  51  111  147  189  738  813 1046 1092]
label_predict: [121]
5516it [02:11, 35.11it/s]
label_predict: [ 147  189  413  430  434  501  559  622  738  813  835  871 1092]
label_predict: [ 79 182 194 813]
label_predict: [ 147  189  373  597  671  768  780 1034 1035]
label_predict: [  79  147  156  189  369  477  612  671  780  813 1092]
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 1062 1092]
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label_predict: [  51  147  156  189  369  671  780 1059]
label_predict: [ 116  121  226  289  374  415  464  473  487  597  650  681  684  704
  724  735  748  819  844  925  955 1023 1026]
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label_predict: [   1   33  121  420  582  724  962 1023 1059 1061]
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label_predict: [ 147  189  369  450  671  780 1059]
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label_predict: [  51  147  156  227  477  612  655  671  780  813  954 1046 1092]
label_predict: [  13   51  147  483  738  776  813  830 1046 1092]
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label_predict: [  13  147  189  671  813  896  903 1092]
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label_predict: [  13  147  156  189  369  436  552  626  671  780  813 1059]
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label_predict: [  79  111  147  477  483  671  725  737  738  776  813  830  923 1046]
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label_predict: [121 161 304 415 464 872]
label_predict: [  13  147  626  813  896 1092]
label_predict: [ 13  51 147 552 626 671 780]
label_predict: [ 121  158  184  313  369  415  420  433  464  493  582  754  819  962
 1023 1039 1059 1061]
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 1059 1084]
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  961 1030 1062 1092]
label_predict: [121 125 161 204 304 450 464 495 634 872]
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label_predict: [ 51 147 156 189 335 369 671 780 813]
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  800  813  897  953  974  993 1059 1092]
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5672it [02:14, 46.42it/s]
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5723it [02:15, 45.33it/s]
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label_predict: [ 147  189  813  896 1092]
label_predict: [  51   76   79  147  156  227  369  477  612  671  780  813  961 1059
 1092]
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label_predict: [ 79 121 147 189 498 813]
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 1092]
5759it [02:16, 47.47it/s]
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label_predict: [ 430  501  813 1046 1092]
label_predict: [  18   25   61   99  125  161  304  331  489  584  758  813 1059]
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label_predict: [ 35  99 313 420 718 738 813 835 962]
label_predict: [ 79 147 156 189 369 552 671 780 813]
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label_predict: [ 13  51 127 147 552 671 675 780 978]
label_predict: [  51  111  147  189  259  420  616  733  734  738  776  813  993 1046
 1092]
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label_predict: [147 156 189 485 603 671 780]
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label_predict: [ 121  194  369  744  813  903 1059 1092]
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5815it [02:17, 42.10it/s]
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label_predict: [ 147  189  671  744  813  903 1092]
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label_predict: [ 147  156  189  744  813  896  903 1092]
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label_predict: [  79  194  489  584  671 1059]
label_predict: [ 147  156  189  259  418  541  542  813  835  993 1046 1072 1092]
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label_predict: [147 161 189 204 304 813 872]
label_predict: [ 121  231  369  489 1039 1059]
label_predict: [  13  405  896  903 1092]
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label_predict: [  51  147  189  616  813 1092]
label_predict: [ 147  369  436  744  813  903 1039 1059]
label_predict: [ 147  189  813  896  903 1092]
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label_predict: [  79  147  189  477  671  780 1034]
label_predict: [  79  182  194  754  813  903 1059]
label_predict: [ 13 131 147 189 552 671 768 780]
label_predict: [ 194  480  483  494  737  738  744  776  813  830 1046 1092 1099]
label_predict: [ 121  147  189  433  436  552  671  813 1059]
label_predict: [  13  189  835 1092]
label_predict: [  13   51  147  189  483  738  776  813 1046 1092]
label_predict: [  13   51  147  477  671  744  780  813 1092]
label_predict: [  79  194  487  671  813 1059 1062]
5855it [02:18, 45.43it/s]
label_predict: [ 194  477  671  780  813 1034 1046 1092 1099]
label_predict: [  13  404  405  896  903 1092]
label_predict: [  51   76  147  156  189  227  252  477  671  780  813  961 1092]
label_predict: [  79  147  156  189  194  369  671  780 1059]
label_predict: [ 13  51 147 189 369 552 626 671 720 780]
label_predict: [  13   51  147  189  744  813  896 1092]
label_predict: [  18   25  161  331  487  813  961 1059 1092]
label_predict: [ 147  189  418  541  796  813  949 1072 1092]
label_predict: [  99  121  813 1059]
label_predict: [  13  147  405  813  896  903 1092]
5865it [02:19, 44.52it/s]
label_predict: [ 111  147  189  480  483  501  737  738  776  813 1046]
label_predict: [  13  121  147  188  189  552  671  780 1034]
label_predict: [  51  147  189  744  747  813  952 1092]
label_predict: [ 111  147  189  483  738  776  813 1046 1092]
label_predict: [  9  33  99 313 420 738 813 835 962]
label_predict: [  79  194  487  489  584 1059]
label_predict: [ 121  188  498  813 1059 1099]
label_predict: [  13  147  813  896 1046 1092]
label_predict: [ 147  194  404  744  813 1092 1099]
label_predict: [ 147  189  420  738  813  835 1092]
5875it [02:19, 44.98it/s]
label_predict: [ 147  156  189  259  418  541  542  579  813  835  949 1072 1092]
label_predict: [ 147  189  369 1034 1039 1059]
label_predict: [  51  147  156  369 1059]
label_predict: [  13   51  147  698  813  896 1092]
label_predict: [ 161  194  369  487  813 1059]
label_predict: [  51   79  147  156  189  671  780  813  961 1059 1062 1092]
label_predict: [  17   19   26   29   41   51   52   58   60  101  111  116  141  147
  151  155  156  165  167  169  175  177  188  189  191  194  206  209
  218  231  244  253  258  285  294  306  333  337  369  375  378  385
  390  394  399  413  415  422  431  437  441  450  451  454  461  467
  474  475  477  485  490  495  510  516  518  522  523  542  546  548
  551  552  555  558  564  570  572  579  581  584  585  592  597  598
  603  616  624  638  639  640  654  655  659  660  667  668  671  679
  682  684  692  705  709  738  754  759  769  773  777  780  795  800
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 1034 1041 1046 1050 1063 1064 1065 1067 1070 1078 1091 1092 1098]
label_predict: [  79  194  776  813  830 1046 1059]
label_predict: [ 13 147 552 626 671 716 780]
5885it [02:19, 45.18it/s]
label_predict: [ 147  189  671  780  813  835 1092]
label_predict: [  79  147  156  189  671  813 1046 1092]
label_predict: [  99  121  125  161  304  634  872 1059]
label_predict: [  51  147  194  483  738  776  813 1046 1059]
label_predict: [  13   51  147  189  744  813  896  903 1092]
label_predict: [ 13  14  51 147 552 671 780]
label_predict: [  13   51  147  189  552  655  671  780  813 1092]
label_predict: [ 121  147  189  813 1092]
label_predict: [ 111  147  189  420  738  813  835 1046 1092]
label_predict: [ 147  189  485  780  813  835 1092]
5895it [02:19, 45.87it/s]
label_predict: [ 13  14  51 147 552 671 780]
label_predict: [ 147  189  813  896 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [  79  147  156  189  194  671  780 1059 1062]
label_predict: [  51   76  147  156  212  369  477  671  780  813 1059 1092]
label_predict: [  13   51  147  189  776  813 1046 1092]
label_predict: [ 13  14  51 147 552 626]
label_predict: [ 147  156  189  259  418  541  796  813  835  949 1072 1092]
label_predict: [ 671 1034]
label_predict: [  79  147  156  189  420  671  813 1059 1092]
5905it [02:19, 46.98it/s]
label_predict: [ 147  156  194  655  671  744  813 1046 1092]
label_predict: [ 194  485  744  813 1046 1092 1099]
label_predict: [  79  147  189  194  477  671  780  813 1046 1059 1092]
label_predict: [ 121  464 1039]
label_predict: [  13   51  147  501  813 1092]
label_predict: [  79  116  161  194  304  487  758 1059 1062]
label_predict: [ 13 147 189 552 626 671 780 925]
label_predict: [  79  147  156  194  671  813 1059 1062]
label_predict: [  51  111  147  189  259  420  483  738  813 1046 1092]
label_predict: [  99  121  369 1039 1059]
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label_predict: [  51  147  156  189  813 1092]
label_predict: [  13   51  519  813 1092]
label_predict: [  13   51  147  813  896 1092]
label_predict: [  79  121  182  354  754 1039]
label_predict: [  13  480  483  738  776  813  830  923 1046]
label_predict: [  51  147  156  189  259  541  813 1092]
label_predict: [  79  147  156  188  189  671  780 1059]
label_predict: [ 131  147  189  378  671  768  780 1034]
5920it [02:20, 44.10it/s]
label_predict: [ 483  737  738  813  830  931 1046]
label_predict: [  79  121  188 1059]
label_predict: [  79  147  189  671  768  780 1034 1035]
label_predict: [  79  194  282  477  487  489  671  780 1059 1062]
label_predict: [ 33 189 420 738 813 835 962]
label_predict: [  79  188  189  369  436 1059]
label_predict: [ 121  304  369  433  813 1039 1059 1061]
label_predict: [  79  121  147  189  369  552  671  780 1034]
label_predict: [ 369  726 1084]
label_predict: [ 147  189  813 1092]
5931it [02:20, 46.23it/s]
label_predict: [147 156 189 477 485 603 607 671 695 780 999]
label_predict: [ 430  434  483  501  545  559  737  738  813  931 1032 1046]
label_predict: [147 189 369 744 813 903]
label_predict: [  13  147  698  813  896 1092]
label_predict: [ 13 147 189 369 552 555 626 671 749 780]
label_predict: [ 13 147 552 671 780]
label_predict: [  79  121  813 1059]
label_predict: [  79  487 1059 1062]
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5941it [02:20, 35.28it/s]
label_predict: [ 121  147  189  597  768 1035]
label_predict: [  13  147  189  813  903 1092]
label_predict: [  51   79  147  194  671  813 1059 1092]
label_predict: [  51   79  147  156  189  194  227  369  489  584  612  671  780  954
 1059]
label_predict: [ 99 121 147 433 552 724]
label_predict: [  79  194  671  738  776  780  813  830 1046 1059 1099]
label_predict: [ 147  188  189  194  477  671  780  813 1034 1046 1059]
label_predict: [ 121  147  487  552  626  671  724  780  925  955 1010]
label_predict: [ 147  813  896 1092]
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5951it [02:21, 40.23it/s]
label_predict: [  79  147  813  896 1092]
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label_predict: [ 147  189  813 1092]
label_predict: [ 13  51 147 156 189 552 626 671 720]
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label_predict: [ 79 121 194 369 415 487 684 724 735 748 844 925 955]
label_predict: [ 13  14 127 147 552 555 626 671 749 780]
label_predict: [  13  147  189  552  626  671  780 1034]
label_predict: [  51  147  156  189  813 1092]
label_predict: [ 147  156  189  485  603  671  744  813  835 1099]
label_predict: [  79  194  671 1059]
label_predict: [  79  121 1059]
label_predict: [121 420 433 962]
label_predict: [ 194  404  655  744  813 1020 1046 1092 1099]
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label_predict: [ 79 147 189 194 369 671 780 925]
label_predict: [  13  404  405  896  903 1092]
label_predict: [  13   51  147  616  813 1046 1092]
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label_predict: [  99  121  304  718  813  961 1059 1092]
label_predict: [147 156 189 485 603 607 671 695 780]
label_predict: [ 13  51 147 552 671 780]
label_predict: [ 111  147  189  420  738  776  813 1046 1092]
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label_predict: [ 147  156  189  813 1092]
label_predict: [ 131  147  189  378  671  768  780 1034]
label_predict: [147 188 552 671 780]
label_predict: [  79  369  726 1059]
label_predict: [ 121  415  433 1039]
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label_predict: [ 51 147 156 189 369]
label_predict: [  13   25  161  194  487  813 1059 1092]
label_predict: [  79  147  156  189  194  477  612  671  780  813 1059 1092]
label_predict: [  13  147  813 1092]
label_predict: [ 147  189  259  418  541  663  800  813  835 1092]
label_predict: [  79  194  487  671  813 1059 1062]
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label_predict: [  51  147  194  813 1046 1092]
label_predict: [ 147  189  430  501  559  738  813 1046 1092]
label_predict: [ 131  147  189  671  768  780 1034]
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5997it [02:22, 44.05it/s]
label_predict: [ 13 420 477 813]
label_predict: [ 483  494  737  738  776  813  830 1046 1092]
label_predict: [121 304 415 724 955 962]
label_predict: [  79  194  489 1059]
label_predict: [147 156 189 485 671 744 780]
label_predict: [  99  189  498  718  813  896 1092]
label_predict: [  79  147  156  189  477  639  671  780 1034 1035]
label_predict: [  51   79  147  156  189  227  369  489  612  671  780  813  954 1059
 1092]
label_predict: [  25  161  331  534  734  800  813  953  974  993 1059 1092]
label_predict: [ 99 121 125 161 304 493 634 840 872 922]
6008it [02:22, 46.83it/s]
label_predict: [ 147  156  189  259  418  541  663  796  813  835 1072 1092]
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label_predict: [ 813 1092]
label_predict: [  51   79 1059]
label_predict: [ 147  483  738  776  813 1046]
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label_predict: [ 147  813  896 1092]
label_predict: [ 147  189  800  813  835 1092]
label_predict: [  33  121  420  432  582  724  738  955  962 1023]
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label_predict: [  51  147  189  738  813 1046 1092]
label_predict: [ 13 477 671]
label_predict: [  13  404  405  445  698  813  896 1092]
label_predict: [188 231 369 558 754]
label_predict: [  79  147  156  189  813 1059 1092]
label_predict: [  45   79  116  121  133  189  226  239  282  289  374  415  464  473
  487  597  624  650  681  682  684  704  705  735  748  819  844  860
  910  912  925  949  955  958 1024 1026 1034 1062]
label_predict: [  13   51  111  147  483  738  776  813 1046 1092]
label_predict: [  13  147  813  896  903 1092]
label_predict: [ 147  189  671  768  780 1034]
6028it [02:22, 47.19it/s]
label_predict: [147 156 189 485 603 671 695 780]
label_predict: [ 79 121 194 420 489 844]
label_predict: [  51  147  671  780 1059]
label_predict: [  79  147  188  189  552  671  780 1034]
label_predict: [  18   25   61   99  125  161  304  331  487  758  813 1059]
label_predict: [ 147  189  813 1092]
label_predict: [  13  121  369 1059]
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6038it [02:23, 45.23it/s]
label_predict: [  99  161  304  718  813  961 1092]
label_predict: [  51  147  189  194  813 1046 1092]
label_predict: [  79  147  189  194  369  655  671  780 1034 1098]
label_predict: [ 111  147  189  796  813  896  903 1092]
label_predict: [ 147  189  671  780 1034]
label_predict: [  51   79  147  189  671  776  780  813 1046 1092]
label_predict: [ 111  147  156  189  259  418  541  796  813  835 1046 1092]
label_predict: [147 194 671]
label_predict: [  79  121  354  489 1059]
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label_predict: [  79  194  584  671 1059]
label_predict: [ 13 147 189 552 671 780 840]
label_predict: [ 156  189  300  369  587  726  766  994 1020 1084]
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label_predict: [ 13  51 147 552 626 671 780]
label_predict: [  79  121  188  194  498 1034 1059]
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label_predict: [  51  147  189  671  813 1092]
6058it [02:23, 43.51it/s]
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label_predict: [ 13 477 670 813]
label_predict: [ 147  156  189  813  835 1092]
label_predict: [  79  121  147  189 1059]
label_predict: [ 147  156  189  369  436  587  766 1020 1039 1059]
label_predict: [  79  121  147  188  189  477  597  671  738  780  813 1046 1092]
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label_predict: [ 33 121 313 420 738 962]
label_predict: [  51  147  189  335  813  896 1092]
label_predict: [  51  147  156  227  477  489  554  584  612  671  780  813  954 1030
 1046 1059]
label_predict: [  13   51  147  480  483  501  737  738  776  813 1046]
label_predict: [  79  194  477  480  483  671  737  738  744  776  780  813  830 1034
 1046 1092]
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label_predict: [ 188  280  369  563  813 1059 1061 1099]
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label_predict: [ 51 147 189 612 744 903]
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label_predict: [ 111  147  189  738  776  813 1046 1092]
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label_predict: [121 415 724 735 922 955 962]
label_predict: [ 188  369  563  813 1059 1061 1099]
label_predict: [  13   51  147  626  813  896 1092]
label_predict: [  79  147  189  744  813  896  903 1092]
label_predict: [ 51 147 156 322 369 477 612 671 780 954]
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label_predict: [ 147  156  189  671  780  813  835 1092]
label_predict: [ 147  156  189  259  418  485  541  542  813  835 1072 1092]
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label_predict: [  51  121  147  369  744  813  903 1019 1059]
label_predict: [   1   33  420  582  962 1023]
label_predict: [  51  111  147  189  813 1046 1092]
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label_predict: [  51  147  189  813  835 1092]
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6098it [02:24, 43.72it/s]
label_predict: [121 161 304 724 813 955 962]
label_predict: [  13   51  111  147  480  483  737  738  776  813 1046 1092]
label_predict: [  79  147  189  369  552  671  780 1059]
label_predict: [ 13 477 813]
label_predict: [  51  111  147  813 1046 1092]
label_predict: [  79  147  194  813 1092]
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6108it [02:24, 45.53it/s]
[  13   51  147  369  612  671  813 1092]
label_predict: [  13   51  147  156  671  780  813 1092]
label_predict: [ 182  194  420  813 1059]
label_predict: [  79  147  161  189  304  813  961 1059 1092]
label_predict: [  51  147  156  189  369  612  671  780 1059]
label_predict: [ 188  813  896  903 1092]
label_predict: [ 13 147 552 555 626 671 780]
label_predict: [  51  147  156  189  813  961 1092]
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label_predict: [ 147  156  189  259  418  541  542  579  813  993 1072 1092]
6118it [02:24, 46.50it/s]
label_predict: [ 147  189  554  744  811  813  896  903 1092]
label_predict: [  51  147  156  189  586  587  833 1020 1059]
label_predict: [ 147  189  430  434  480  483  501  545  559  737  738  813  931 1046]
label_predict: [  79  147  188  194  552  671  780 1034]
label_predict: [  13  147  718  813  896  903 1092]
label_predict: [ 147  189  194  671  780  813 1046 1092]
label_predict: [  13   51  147  189  813 1046 1092]
label_predict: [  51  147  156  189  212  227  339  477  554  584  612  671  746  780
  813 1059 1062 1092]
label_predict: [ 147  156  189  420  477  671  744  780  813  835  903 1059 1092]
label_predict: [ 121  188  369 1039 1059]
6129it [02:25, 47.78it/s]
label_predict: [  51   76  147  156  189  212  369  671  780  813  961 1059 1092]
label_predict: [ 147  189  369 1039 1059]
label_predict: [ 116  121  133  226  239  282  289  313  374  415  433  464  473  487
  589  597  600  624  650  681  682  684  704  705  724  735  748  819
  844  860  910  912  925  931  955  958 1023 1026 1034 1062]
label_predict: [  99  121  125  161  192  204  304  464  495 1039]
label_predict: [ 13 147 189 552 626 671 780]
label_predict: [ 615  813  896 1092]
label_predict: [ 121  420  754 1059]
label_predict: [  13   51  147  189  813  896  903 1092]
label_predict: [  79  147  189  420  498  813 1059 1092]
label_predict: [  13   51  121  147  188  552  671  780  813 1059]
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6140it [02:25, 47.99it/s]
label_predict: [  13   51  194  519  813 1092]
label_predict: [  51  147  532  813 1092]
label_predict: [ 194  813 1092]
label_predict: [  51  147  189  369  671  744  813  903 1092]
label_predict: [ 147  156  189  259  418  541  542  579  813  835  949 1046 1072 1092]
label_predict: [  13  670  813  896  903 1092]
label_predict: [188 369 720]
label_predict: [  51   79  147  156  189  487  671  780  813  961 1059 1062 1092]
label_predict: [  79  147  156  189  671  813 1046 1092]
label_predict: [ 121  489 1039 1059]
6151it [02:25, 47.35it/s]
label_predict: [  51   79  487  738  813  961 1059 1062 1092]
label_predict: [121 558 724 744 955 962]
label_predict: [ 147  189  194  671  780 1034]
label_predict: [ 147  184  189  369  587  833  884 1020 1039]
label_predict: [  13   51  147  744  813  896  903 1092]
label_predict: [ 121  161  369  487  498  738  813 1059 1092]
label_predict: [  79  147  188  189  518  671  780 1034 1035]
label_predict: [ 147  189  671  780  813 1034]
label_predict: [  51   79  147  156  532  671  780  813 1059 1092]
label_predict: [121 147 189 194 369 813]
6162it [02:25, 48.39it/s]
label_predict: [161 194 304 634 813 844 872 961]
label_predict: [  79  147  156  189  671  813 1059 1062 1092]
label_predict: [  13   51  147  671  716  813  896 1092]
label_predict: [ 147  189  744  813  896  903 1092]
label_predict: [ 13 147 194 369 552 671 780 925]
label_predict: [  13  480  483  501  776  830  923 1046]
label_predict: [  79  147  189  194  671  780  925 1034]
label_predict: [  51   99  147  304  718  720  813  903 1092]
label_predict: [  99  161  304  718  813  896  961 1092]
label_predict: [ 147  156  189  541  542  543  738  813  949 1072 1092]
6167it [02:25, 47.12it/s]
label_predict: [ 79 194 487 813]
label_predict: [ 147  189  639  671  780 1034]
label_predict: [  13   14   51  147  552  626  700  716  976 1056]
label_predict: [  13   51   79  147  369  776  813 1046]
label_predict: [121 432 724 962]
label_predict: [ 13  51 147 189 813]
label_predict: [ 147  189  597  671  768  780  813 1034]
label_predict: [ 483  494  737  738  776  813  830 1046]
label_predict: [ 111  147  156  189  738  813 1046 1092]
6177it [02:26, 46.03it/s]
label_predict: [ 147  189  194  477  597  671  780  813 1034]
label_predict: [  79  121  188  582  671 1023 1059 1099]
label_predict: [  51   79  147  477  506  597  612  671  780  813 1046 1092]
label_predict: [  51   79  147  189  671  813 1059]
label_predict: [  13   51  147  189  813 1092]
label_predict: [  51  147  156  189  369 1059]
label_predict: [  25  161  813 1059 1092]
label_predict: [  51   76  147  156  212  227  339  393  477  489  584  612  671  780
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label_predict: [ 13  51 147 552 626 671 780]
label_predict: [  79  194  354  369 1059]
label_predict: [  13   51  111  147  189  420  483  573  733  737  738  776  813 1046
 1092]
6188it [02:26, 48.24it/s]
label_predict: [ 507  718  813  896  903 1039 1092]
label_predict: [  79  147  194  369  477  612  671  780 1059]
label_predict: [  99  304  961 1059]
label_predict: [ 147  189  671  813 1092]
label_predict: [147 189 612 813 962]
label_predict: [  13  369  552  675  978 1039]
label_predict: [  79  147  156  161  194  489  584  671  780  813 1059 1062]
label_predict: [  79  147  156  189  477  671  780 1034]
label_predict: [  79  194  671  813 1059]
6198it [02:26, 44.04it/s]
label_predict: [ 13  51 147 189 626 671]
label_predict: [147 156 189 485 603 607 671 695 768 780]
label_predict: [  51   79  147  477  597  639  671  738  780  813  950 1034 1035 1046
 1092]
label_predict: [ 147  156  541  813  949 1092]
label_predict: [  51  111  147  189  501  733  738  813 1046 1092]
label_predict: [ 161  304  369  813 1059 1061]
label_predict: [ 147  189  671  780 1034 1035]
label_predict: [  13   51  147  483  776  813 1046 1092]
label_predict: [  51  147  156  477  584  671  780  813 1059]
6208it [02:26, 45.06it/s]
label_predict: [  13  147  156  194  744  813 1092]
label_predict: [ 147  156  189  477  485  603  607  671  780  835 1069]
label_predict: [  13   51  111  147  189  480  483  501  737  738  776  813 1046 1092]
label_predict: [ 147  189  813  835 1092]
label_predict: [  79  147  189  482  498  718  813  961 1092]
label_predict: [  13  147  796  813  896 1092]
label_predict: [  79  369  438  726 1039]
label_predict: [  51  147  189  813 1059 1092]
label_predict: [  79  189  369 1059]
label_predict: [  13   51  147  189  434  485  615 1022]
6218it [02:27, 44.18it/s]
label_predict: [  25   79  116  125  161  194  304  487  758 1059 1062]
label_predict: [ 121  552 1039]
label_predict: [ 147  189  655  744  813  896  903 1092]
label_predict: [   1   33  275  420  432  582  962 1023]
label_predict: [  51  147  189  813 1092]
label_predict: [  79  147  156  194  393  477  489  612  671  780  954 1059]
label_predict: [ 13 121 194]
label_predict: [ 13 147 189 552 671 768 780]
label_predict: [  51  147  189  738  813 1092]
6228it [02:27, 46.20it/s]
label_predict: [ 13  51 147 189 552 626 671 780]
label_predict: [ 111  147  156  189  259  733  813  835  993 1046 1092]
label_predict: [ 369 1059]
label_predict: [  79  147  189  194  671  780 1034]
label_predict: [  51  147  156  189  584  671  780  813 1059 1062]
label_predict: [  79  147  156  671  780  813 1059]
label_predict: [  13  477  554  670  693  746  813  896 1092]
label_predict: [ 156  189  369  587  766 1059 1084]
label_predict: [  13   14  147  552  626 1056]
label_predict: [  79   99  354  369  493  754 1039 1059]
6233it [02:27, 37.12it/s]
label_predict: [  79  194  369  671  780  813 1059]
label_predict: [  79  147  156  194  227  477  487  584  671  780  813 1046 1059 1062
 1092]
label_predict: [  51  121  188  813 1059 1092]
label_predict: [ 131  147  189  671  768  780 1034]
label_predict: [  13   51  147  813 1046 1092]
6244it [02:27, 42.42it/s]
label_predict: [  79  121  961 1039 1059]
label_predict: [  51  147  189  813 1092]
label_predict: [ 147  156  189  671  780 1034]
label_predict: [147 189 369 436 671 780 813]
label_predict: [  51  147  189  532  813 1022 1059]
label_predict: [  13   79  147  189  671  776  813 1034 1046]
label_predict: [  51  147  188  671  738  813 1092]
label_predict: [  99  121  161  304  489  774 1059]
label_predict: [  13  147  813  896 1092]
label_predict: [ 188  304  489  612 1059]
label_predict: [  79  147  194  485  671  744  780  813 1059 1092 1099]
6250it [02:27, 44.44it/s]
label_predict: [  13   51  147  156  189  501  738  813 1092]
label_predict: [ 121  369  489  774 1059 1061]
label_predict: [ 13 477 671 780 813]
label_predict: [  51   79  147  487  813 1059 1092]
label_predict: [ 147  671  738  776  813 1046 1092]
label_predict: [  79  189  194  450  461  477  518  576  624  639  671  780 1034 1059]
label_predict: [ 147  189  259  738  813 1046 1092]
label_predict: [  13  147  776  813  830  896  903 1046 1092]
label_predict: [ 147  156  671  780  813  872 1092]
label_predict: [  79  147  156  189  194  369  477  671  780 1059]
6261it [02:28, 45.30it/s]
label_predict: [  13  445  813  896 1092]
label_predict: [ 498  718  813  896  961 1092]
label_predict: [  13   51  147  189  718  813  896  903 1092]
label_predict: [ 114  161  217  236  304 1061]
label_predict: [ 13 147 369 436 552 626 671]
label_predict: [  51   79  147  156  189  369  671 1059]
label_predict: [ 13 127 147 552 671 675 716 780 978]
label_predict: [ 147  189  418  663  718  800  813  835 1092]
label_predict: [  51  147  189  744  813 1092]
label_predict: [  13  405  896  903 1092]
6272it [02:28, 46.79it/s]
label_predict: [  99  121  125  161  304  487 1059]
label_predict: [ 147  188  189  813 1059 1092]
label_predict: [ 13 147 304 552 671]
label_predict: [  13   51  147  189  813 1092]
label_predict: [  79  147  189  477  612  639  671  780  950 1034 1035]
label_predict: [  51  147  156  369  487  586 1059]
label_predict: [  13   51  147  189  813 1092]
label_predict: [  51  147  189  813  903 1092]
label_predict: [ 147  369  436  744  813  896  903 1019]
label_predict: [  45   51  111  147  189  738  813 1046 1092]
6282it [02:28, 46.43it/s]
label_predict: [  79  194  671  813 1046 1059 1092]
label_predict: [  51  147  189  738  776  813 1046]
label_predict: [  79  147  156  189  477  671  780  813  835 1059 1092]
label_predict: [  79  147  156  189  498  813  896  961 1092]
label_predict: [  99  121 1059]
label_predict: [ 161  194  304  487  813 1059]
label_predict: [  79  121  161  304  487  718  813 1059]
label_predict: [ 51 147 189 434 615 744 813]
label_predict: [ 51 147 189]
label_predict: [  79  147  194 1059]
6292it [02:28, 46.42it/s]
label_predict: [121 724 813 962]
label_predict: [  13  147  189  430  434  501  545  559  621  622  649  738  747  871
 1089 1092]
label_predict: [ 188  239  489  612  671  754  780 1059]
label_predict: [  25  161  331  420  534  584  642  733  734  738  797  813  953  974
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label_predict: [  13   51  147  188  194  671  744  813 1092 1099]
label_predict: [ 147  189  194  744  813  896  903 1092]
label_predict: [ 147  189  813  835 1092]
label_predict: [ 147  189  259  418  541  813  949 1046 1092]
label_predict: [ 194  671  780 1034 1046]
6302it [02:29, 44.57it/s]
label_predict: [  13   51  111  147  189  813 1046 1092]
label_predict: [ 121  184  188  313  369  464  754 1039 1059]
label_predict: [ 131  147  189  552  671  768  780 1034]
label_predict: [ 13 477 670 746 813]
label_predict: [ 483  501  737  738  813  931 1046]
label_predict: [  79  161  194  489  584  671  780 1059 1062]
label_predict: [ 13 147 189 552 555 626 671 780]
label_predict: [  51   79  147  156  489  584  671  813 1059]
label_predict: [ 147  189  430  434  501  559  813 1092]
6312it [02:29, 46.15it/s]
label_predict: [ 58 121 188 558 744 754 813]
label_predict: [121 432 433 520 724]
label_predict: [ 188  231  369  489  774 1039 1059]
label_predict: [  13  147  813  896  903 1092]
label_predict: [ 483  501  737  738  813  931 1046]
label_predict: [  51   79  147  156  212  339  584  612  671  780 1059]
label_predict: [  99  121  369 1039 1059]
label_predict: [  13  404  405  813  896 1092]
label_predict: [  25  161  813 1059 1092]
label_predict: [ 147  156  189  259  541  542  813 1092]
6322it [02:29, 47.15it/s]
label_predict: [ 147  189  671  780 1034]
label_predict: [  99  161  189  304  718  813  961 1092]
label_predict: [147 189 671 780 813]
label_predict: [   1   33  121  275  420  432  582  724  962 1023]
label_predict: [  51  147  156  189  369  671  780 1059]
label_predict: [  79  147  188  194  477  671  780  813 1046 1092]
label_predict: [  13  147  655  813  896 1092]
label_predict: [  79  147  189  813  961 1092]
label_predict: [  79  147  189  813 1059 1092]
label_predict: [  13  404  698  813  896  903 1092]
6327it [02:29, 46.86it/s]
label_predict: [  51   79  138  147  156  188  369  477  489  612  671  780  954 1059]
label_predict: [  13  405  813  896  903 1092]
label_predict: [ 13  51 147 552 626 671 780]
label_predict: [ 156  189  223  245  300  337  344  355  368  369  436  587  726  766
 1059 1084]
label_predict: [121 147 189]
label_predict: [  79  147  189  671  780  813 1092]
label_predict: [ 489 1039 1059]
6337it [02:29, 42.69it/s]
label_predict: [  13  147  189  813  903 1092]
label_predict: [  13  405  896  903 1092]
label_predict: [ 147  156  189  259  418  541  542  579  581  753  813  949 1072 1092]
label_predict: [ 147  189  369  477  671  780  950 1034]
label_predict: [  79  147  156  194  671  780  813 1046 1059]
label_predict: [ 147  189  744  813 1092]
label_predict: [ 121  184  313  464  493  754  962 1039 1059]
label_predict: [  51  111  147  156  212  369  586 1059]
label_predict: [ 161  236  304  718  738  813  955  962 1092]
label_predict: [  13   51  147  189  813  896  903 1092]
6347it [02:30, 43.80it/s]
label_predict: [  13   51  147  813 1046 1092]
label_predict: [  13   51  147  671  813 1092]
label_predict: [ 13 121 147 552]
label_predict: [ 147  189  813 1092]
label_predict: [ 147  813 1092]
label_predict: [121 161 304 415 464 634 872 922]
label_predict: [ 121 1039 1059]
label_predict: [ 13 147 552 626 716 813]
label_predict: [ 121  433  724 1039 1059]
6357it [02:30, 44.27it/s]
label_predict: [ 147  189  418  800  813 1092]
label_predict: [ 147  189  813 1092]
label_predict: [  51  111  135  147  156  189  212  227  322  339  477  554  584  612
  671  746  780  813  954 1092]
label_predict: [  79  147  189  194  655  744  813  903 1092]
label_predict: [ 111  147  189  483  738  776  813 1046]
label_predict: [ 147  156  189  369  671  813 1059 1092]
label_predict: [  51  147  156  189  671  813 1059 1062]
label_predict: [  51  147  189  335  738  813 1046 1092]
label_predict: [  79  147  188  189  477  639  671  780 1034 1035]
label_predict: [  79  147  189  420  813 1046 1092]
6362it [02:30, 44.10it/s]
label_predict: [ 121  188  582  597  813 1023]
label_predict: [ 121  147  189  671  744  780  813  903 1092]
label_predict: [ 147  189  671  780  813 1034 1046]
label_predict: [ 131  147  189  378  671  768  780 1034]
label_predict: [ 99 121 125 161 304 464 634 754 872]
label_predict: [  13  477  671  780  813  896 1092]
label_predict: [ 121  433 1039 1059]
6372it [02:30, 41.56it/s]
label_predict: [ 121  147 1059]
label_predict: [  13   51  121  147  483  738  813 1046 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [  99  121 1039 1059]
label_predict: [  13   51  147  813 1092]
label_predict: [  13   51  147  189  813 1046 1092]
label_predict: [ 147  156  189  554  744  813  896  903 1092]
label_predict: [ 121  147  369  586  766 1039 1059]
label_predict: [ 147  189  813  835 1092]
label_predict: [ 121 1039 1059]
6382it [02:30, 43.64it/s]
label_predict: [  79  147  369 1039 1059]
label_predict: [  51  147  156  189  813  961 1092]
label_predict: [ 147  189  738  813 1034 1046]
label_predict: [  13  445  813  896  903 1092]
label_predict: [  51  147  189  718  744  813  896  903 1092]
label_predict: [  13  147  189  813  896 1092]
label_predict: [ 147  189  813  896  903 1092]
label_predict: [ 147  189  813  896  903 1092]
label_predict: [ 147  744  813  896 1092]
label_predict: [  13   51  147  480  483  519  738  776  813 1046 1092]
6392it [02:31, 45.28it/s]
label_predict: [  79  121  189  498  718  813 1059]
label_predict: [ 147  189  671  780  813  835 1092]
label_predict: [ 147  189  813 1059 1092]
label_predict: [ 13  14  51 147 552 555 626 671 716 780]
label_predict: [  13  615  813  896 1092]
label_predict: [ 147  615  813  896 1092]
label_predict: [  51  161  369  436  720  813 1059]
label_predict: [ 156  161  584  813 1059 1092]
label_predict: [147 189 430 434 501 545 559 649 738 871 931]
label_predict: [  51  147  189  813  993 1092]
6402it [02:31, 45.98it/s]
label_predict: [  13   51  147  480  483  501  519  738  776  923 1046]
label_predict: [ 51 147 156 189 671 744 780 813]
label_predict: [  13   51  147  519  813 1092]
label_predict: [  13  404  405  896  903 1092]
label_predict: [147 156 189 477 485 603 607 671 695 780]
label_predict: [  51  147  156  189  322  369  477  489  612  671  780  954 1059]
label_predict: [  51  147  194  813 1092]
label_predict: [  13  147  813  896 1092]
label_predict: [ 147  156  189  744  813  903 1092]
label_predict: [  51  147  156  189  813  835 1092]
6412it [02:31, 46.20it/s]
label_predict: [  79  147  156  189  671  780  813 1059 1092]
label_predict: [  51   76  147  156  189  212  671  780  813  961 1059 1062 1092]
label_predict: [  79  147  189  194  671  780  813 1059 1092]
label_predict: [ 121  194  813 1059 1092 1099]
label_predict: [  79  147  184  194 1039 1059]
label_predict: [  13  121  813 1092]
label_predict: [  13  147  813  896  903 1092]
label_predict: [  51   76  147  156  227  477  584  612  671  780  813 1059 1062 1092]
label_predict: [  51  147  156  212  369  532  671  780  813 1059]
label_predict: [ 147  189  813  896 1092]
6422it [02:31, 46.81it/s]
label_predict: [  13   45   51  147  189  744  813  896  903 1092]
label_predict: [  79  147  194  671  813 1046 1092]
label_predict: [ 111  131  147  189  259  418  541  663  796  800  813  835  949  993
 1046 1092]
label_predict: [  13  147  189  738  813 1046 1092]
label_predict: [  51   99  304 1059]
label_predict: [ 147  189  744  813  896  903 1092]
label_predict: [ 147  161  189  304  813 1059 1092]
label_predict: [  13   51  147  738  776  813 1046]
label_predict: [  51  111  147  156  189  813 1046 1092]
label_predict: [  79  188  671  738  776 1046 1059]
6433it [02:31, 46.52it/s]
label_predict: [634 872]
label_predict: [   1   33  121  369  582 1023 1034]
label_predict: [ 121  369 1059]
label_predict: [  75  147  612  671  744  813  896  903 1092]
label_predict: [ 147  189  194  597  671  768  780 1034 1035]
label_predict: [ 147  156  189  335  418  671  780  813 1092]
label_predict: [ 147  156  189  259  541  733  813  835  993 1084 1092]
label_predict: [ 121  188  369 1023 1039 1059]
label_predict: [  79  147  156  189  498  813 1092]
label_predict: [ 147  189  813  896  903 1092]
6443it [02:32, 43.81it/s]
label_predict: [  79  147  189  671  780  813 1034]
label_predict: [ 147  189  671  780 1034]
label_predict: [ 121  147  189  433  597  718  813  835 1092]
label_predict: [  13  147  189  813  896 1092]
label_predict: [ 121  147  369 1039]
label_predict: [  79  147  189  813 1059 1092]
label_predict: [  70  147  189  259  738  800  813  835  993 1046 1092]
label_predict: [ 147  189  501  559  738  813 1046 1092]
label_predict: [  13   51  147  189  477  671  738  780  813 1046 1092]
6453it [02:32, 45.15it/s]
label_predict: [ 194  404  813 1020 1092]
label_predict: [  79  189  498  813  961 1092]
label_predict: [ 147  189  418  541  813  949 1092]
label_predict: [ 147  189  738  813 1092]
label_predict: [ 147  189  552  671  768  780 1034]
label_predict: [ 51 147 189 671 780 813]
label_predict: [  25  161  331  584  734  758  813  953  974 1059 1062 1092]
label_predict: [ 147  189  369  436  671  720  744 1019]
label_predict: [  13  445  813  896  903 1092]
label_predict: [147 189 369 671]
6464it [02:32, 47.73it/s]
label_predict: [  79  121  184  313  754  962 1059]
label_predict: [  79  194  487  671  758 1059 1062]
label_predict: [  13   51  147  813  896  903 1092]
label_predict: [  51   79  147  156  194  227  322  369  477  612  671  780  813  954
 1092]
label_predict: [ 147  189  813  896 1092]
label_predict: [  51  147  189  744  813  896  903 1092]
label_predict: [  79  188  194  489 1059]
label_predict: [ 147  156  671  813  896 1059 1092]
label_predict: [  79  147  156  189  489  671  780  813 1059 1092]
label_predict: [ 121  464 1039]
label_predict: [  51   79  147  156  189  477  671  780  813 1046 1059 1092]
6474it [02:32, 46.38it/s]
label_predict: [ 121  184  304  369  464  634  872 1039 1059]
label_predict: [125 161 304 464 495 634 754 872]
label_predict: [131 147 189 552 671 768 780]
label_predict: [ 147  189  597  671  768  780  813 1034 1092]
label_predict: [   2    3    4    8   10   11   13   16   17   18   19   20   22   24
   25   29   30   31   36   37   38   39   41   44   45   47   48   49
   52   54   56   57   59   62   63   66   73   74   76   77   78   79
   80   84   87   89   90   92   93   94   98  101  102  103  108  109
  111  112  115  116  117  119  120  121  123  124  126  127  128  129
  130  132  133  136  138  141  142  144  146  151  152  155  158  160
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  242  245  246  247  248  251  253  255  256  257  264  265  266  268
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  286  288  289  293  294  296  297  299  301  303  304  305  306  307
  310  311  312  313  315  316  317  320  323  327  328  330  332  334
  335  337  340  341  342  343  344  346  347  350  353  356  357  359
  365  367  368  370  371  373  374  375  383  385  386  387  388  389
  391  392  394  396  397  398  402  403  404  410  415  416  417  418
  419  421  422  424  425  427  431  433  439  442  443  449  451  456
  457  458  459  462  464  465  466  469  470  471  473  474  475  478
  479  480  481  484  486  487  490  492  493  501  506  512  513  516
  522  528  529  531  533  536  537  540  541  543  544  547  549  553
  555  557  559  562  563  565  566  568  569  571  575  580  581  582
  583  587  589  590  592  595  596  597  598  600  602  605  606  607
  608  611  613  614  616  617  619  620  623  624  631  634  635  638
  640  641  646  647  650  651  652  653  654  658  660  662  663  665
  669  670  671  673  675  677  679  681  682  684  691  693  694  695
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  854  855  856  859  860  862  864  869  872  874  875  879  880  882
  883  886  887  889  892  893  894  895  900  901  902  905  906  908
  909  910  912  914  915  920  921  925  927  928  931  932  935  936
  937  938  939  941  943  944  947  949  953  954  955  958  965  967
  968  973  978  980  982  984  986  987  988  989  990  991  993  996
 1001 1002 1007 1009 1010 1011 1012 1013 1015 1017 1018 1022 1023 1024
 1025 1026 1028 1030 1032 1034 1037 1039 1040 1041 1043 1044 1045 1048
 1050 1052 1053 1054 1055 1056 1058 1059 1062 1064 1065 1069 1070 1071
 1074 1075 1077 1078 1079 1081 1082 1083 1084 1085 1086 1088 1092 1094
 1095 1096 1098 1099 1100 1101]
label_predict: [  51   79  147  156  189  671 1059]
label_predict: [  79  147  156  189  194  671  780  813 1059 1092]
label_predict: [ 121  147  161  189  304  369  450  558  597  744  813  903 1059]
label_predict: [189 304 369 464 634 872]
6484it [02:33, 43.05it/s]
label_predict: [  51   79  147  156  189  194  671  780  813 1046 1092]
label_predict: [ 51 147 189 813]
label_predict: [  51   79  147  156  189  369  378  813 1059 1062]
label_predict: [  99  121  304  415  464  884 1039]
label_predict: [ 147  194  744  813  896  903 1092]
label_predict: [  13   51  147  156  189  813 1092]
label_predict: [  13   51  147  189  718  813  896  903 1092]
label_predict: [ 147  189  597  671  768  780 1034 1035]
label_predict: [  79  147  156  194  487  813 1059 1092]
6494it [02:33, 45.38it/s]
label_predict: [  13  156  189  369  587 1084]
label_predict: [  13   79  147  156  671  813  896 1092]
label_predict: [ 121  184  369  420  464  582  754  962 1023 1059]
label_predict: [  51  147  189  813 1092]
label_predict: [  25  116  161  331  425  487  534  611  642  734  738  758  800  813
  844  897  953  974  993 1059 1092]
label_predict: [  51  147  189  738  813 1092]
label_predict: [  79  147  738  776  813  830 1046]
label_predict: [  13   51  147  718  813  896  903 1092]
label_predict: [ 156  189  300  369  587  726  766  994 1020 1084]
label_predict: [ 147  189  813 1046 1092]
6499it [02:33, 46.10it/s]
label_predict: [  13   14   51  147  552  567  626  671  780 1056]
label_predict: [  51  147  189  744  813  896  903 1092]
label_predict: [  51  147  156  189  813 1092]
label_predict: [  13   51  147  189  813 1046 1092]
label_predict: [ 147  189  800  813 1092]
label_predict: [  79  194  304  487  489 1059 1062]
label_predict: [  51  147  189  813 1092]
label_predict: [ 121  147  189  450  558  744  813 1092]
label_predict: [ 147  188  189  552  639  671  780 1034]
label_predict: [  13   51  147  189  744  813  896  903 1092]
6510it [02:33, 45.93it/s]
label_predict: [  79  194  487  813 1059 1062]
label_predict: [  51  121  147  552 1046]
label_predict: [ 147  189  194  671  780  813 1034 1046 1092]
label_predict: [ 147  156  332  541  542  671  813  888  949 1092]
label_predict: [  51  147  156  189  227  283  322  420  477  489  554  584  612  671
  738  776  780  813  954 1046 1059 1092]
label_predict: [ 194  738  813 1046 1092]
label_predict: [  79  147  156  184  369  612  671 1059]
label_predict: [  51  111  147  189  480  483  501  733  737  738  776  813  975 1046
 1092]
label_predict: [121 147 433 558 744 903]
label_predict: [ 194  477  671  780  813 1092]
6520it [02:33, 47.58it/s]
label_predict: [ 147  189  418  813 1046 1092]
label_predict: [  79  194  304  487  758 1059 1062]
label_predict: [  51  147  189  413  430  434  501  554  559  615  621  744  747  813
  871 1092]
label_predict: [  79  121  147  189  482  497  498  813  961 1092]
label_predict: [  79  147  189  194  482  487  498  671  718  813 1059 1062 1092]
label_predict: [  79  121  147  189  420  671 1059]
label_predict: [ 147  156  189  259  744  813  835  896 1092]
label_predict: [  13   51  147  189  671  780  813 1092]
label_predict: [ 147  304  489  612  744  813  903 1059]
label_predict: [  51  147  189  813 1092]
6530it [02:34, 44.94it/s]
label_predict: [ 147  189  369  436  558  744  813  903 1092]
label_predict: [  79  147  189  671  780 1034 1035]
label_predict: [  51  147  538  616  733  734  813  952  993 1092]
label_predict: [  45   51  111  147  189  434  480  483  501  737  738  776  813  975
 1046]
label_predict: [  51  147  156  189  482  498  813  961 1059 1092]
label_predict: [ 13 477 501 554 670 671 746 813 975]
label_predict: [  79  147  189  194  671  780  813 1092]
label_predict: [  51  121  147  156  189  813 1059]
6541it [02:34, 42.93it/s]
label_predict: [ 13 147 189 552 671 768 780]
label_predict: [  79  147  188  498  671  780  813 1034 1046 1092]
label_predict: [  13  147  189  369  552  671  768  780 1034]
label_predict: [  13  121  415  433  464  493  840  922 1039]
label_predict: [ 147  189 1039 1059]
label_predict: [ 147  156  189  259  418  541  542  813  835  949 1072 1092]
label_predict: [  79  147  156  194  671  813 1059 1092]
label_predict: [ 125  161  304 1059]
label_predict: [  51  111  147  189  480  483  501  737  738  776  813  923 1046]
6551it [02:34, 45.50it/s]
label_predict: [ 147  156  189  259  418  541  813  949 1092]
label_predict: [ 79 147 156 188 189 477 597 671 780 835]
label_predict: [  51  147  189 1022]
label_predict: [ 147  156  189  259  418  541  813  835 1092]
label_predict: [  79  147  156  189 1059]
label_predict: [  13  121  194 1034]
label_predict: [  51   79  147  156  477  612  671  780  813 1046 1059 1092]
label_predict: [ 147  189  430  434  501  559  738  813  835 1092]
label_predict: [  25  161  194  584  734  813 1059 1092]
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6561it [02:34, 46.17it/s]
label_predict: [  51   79  147  156  189  671  780  813 1059 1062 1092]
label_predict: [ 13  99 121 552 978]
label_predict: [  79  147  156  189  194  487  671  780  813 1059 1062 1092]
label_predict: [ 147  189  259  813 1046 1092]
label_predict: [ 147  156  189  259  418  541  542  813  835 1072 1092]
label_predict: [  99  125  161  192  304  331  493  495 1059]
label_predict: [ 121  813  896 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [ 147  156  189  430  434  554  559  744  813  835 1092]
label_predict: [125 161 304 634 872]
6566it [02:34, 44.98it/s]
label_predict: [ 147  189  418  813  835 1046 1092]
label_predict: [  51   79  147  188  189  477  489  612  671  780  813 1046 1092]
label_predict: [ 147  156  369  586  587  766  833 1020 1039 1059]
label_predict: [  13  147  813  896  903 1092]
label_predict: [ 13  51 147 552 671 780]
label_predict: [  99  147  189  718  813  896  961 1092]
label_predict: [ 51 147 189 413 430 434 554 559 597 603 813 835 858]
label_predict: [ 147  156  188  189  428  485  615  671  744  803  813  832  835  890
 1092 1099]
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6577it [02:35, 46.75it/s]
label_predict: [  51  147  189  813  835 1092]
label_predict: [121 304 415 464 872]
label_predict: [ 156  189  300  369  587  726  766  994 1020 1084]
label_predict: [ 99 125 161 304 464 634 754 872 922]
label_predict: [ 147  189  552  671  780 1034]
label_predict: [  99  121  304 1039 1059]
label_predict: [147 189 634 671 780 840 872]
label_predict: [ 121  194  369  433  813 1034 1099]
label_predict: [  51  147  189  671  813 1092]
label_predict: [ 615  813  896 1092]
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label_predict: [  51  147  188  671  744  813 1092 1099]
label_predict: [ 51 147 156 188 189 369 477 489 612 671 780]
label_predict: [  51  147  813 1046 1092]
label_predict: [ 369  436  720  813 1019]
label_predict: [  13  420  477  519  537  670  733  734  755  813 1092]
label_predict: [  70  147  189  434  738  813  835 1046 1092]
label_predict: [  79  147  156  189  541  813  949 1092]
label_predict: [121 432 433 724 962]
label_predict: [  51   76   79  147  156  189  212  487  671  780  813  961 1059 1062
 1092]
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6597it [02:35, 44.87it/s]
label_predict: [ 147  156  189  259  418  541  542  579  813  835  949 1072 1092]
label_predict: [  13  147  189  813  896  903 1092]
label_predict: [  51  111  147  189  483  738  776  813 1046 1092]
label_predict: [  13   51  147  189  335  501  733  738  744  813 1046 1092]
label_predict: [  51  147  813  896 1092]
label_predict: [  79  147  194  369  489  671  813 1059]
label_predict: [  13  404  405  896 1092]
label_predict: [  51  147  189  477  612  671  780  813 1046 1092]
label_predict: [  13  147  405  813  896  903 1092]
6607it [02:35, 44.58it/s]
label_predict: [ 121  184  189  369 1039]
label_predict: [ 147  156  189  259  418  541  542  813  949 1092]
label_predict: [ 147  189  813  896 1046 1092]
label_predict: [  79  147  189  482  497  498  813  961 1059 1092]
label_predict: [ 483  501  737  738  813 1046]
label_predict: [  51  147  156  189  584  671  780 1059]
label_predict: [  51  121  147  189  482  498  813  961 1092]
label_predict: [  13  445  554  670  693  729  813  896 1092]
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label_predict: [ 147  156  189  369  552  597  671  682  684  738  754  780  872 1034]
label_predict: [  13   51  147  156  813  896 1092]
label_predict: [ 147  156  189  671  813  961 1092]
label_predict: [  79  194  813  844 1092]
label_predict: [  79  147  156  189  465  671  738  813 1046 1059 1062 1092]
label_predict: [ 194  813  844 1092]
label_predict: [  51   79  147  156  189  628  813 1059 1062]
label_predict: [ 147  156  189  813 1059 1092]
label_predict: [  99  121  125  161  304  487 1059]
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6623it [02:36, 43.85it/s]
label_predict: [ 13  14  51 147 552 626 671 716 749 780]
label_predict: [  79  121  189  813 1039]
label_predict: [ 698  813  896 1092]
label_predict: [  13  147  156  194  369  671  780  813  896 1092]
label_predict: [ 147  189  813 1092]
label_predict: [  51  147  156  189  541  813 1046 1092]
label_predict: [  79  194  420  813  844 1092]
label_predict: [ 147  189  813  835 1092]
label_predict: [ 13  51 121 147 552 626 671 780]
6633it [02:36, 41.93it/s]
label_predict: [ 188  194  671  734  813 1092 1099]
label_predict: [  13   51  147  156  189  231  335  420  501  580  733  738  744  813
  835 1046 1092]
label_predict: [  13  813  896 1092]
label_predict: [  13   51  147  483  738  776  813 1046]
label_predict: [147 615 744 813 896]
label_predict: [  51  147  194  477  671  780  813  950 1092]
label_predict: [ 121  369  586 1039]
label_predict: [  13  405  813  896  903 1092]
label_predict: [  51  147  189  813  835 1046 1092]
6643it [02:36, 43.58it/s]
label_predict: [  13   51  147  189  813 1092]
label_predict: [121 498 813 961]
label_predict: [  13   51  147  189  420  501  733  738  813 1046 1092]
label_predict: [ 121  671 1059]
label_predict: [ 147  156  189  259  418  420  462  541  542  616  733  734  800  813
  835  993  994 1084 1092]
label_predict: [  95   99  121  161  304  415  718  813 1092]
label_predict: [ 147  189  813  961 1092]
label_predict: [ 147  189  430  434  501  559  738  813 1092]
label_predict: [  79  121  147  420  813  962 1059]
6653it [02:36, 43.62it/s]
label_predict: [ 111  147  156  189  813 1046 1092]
label_predict: [  13   51  147  813  896 1092]
label_predict: [ 156  189  300  369  587  726  766 1020 1059 1084]
label_predict: [ 121  433 1059]
label_predict: [  79  147  194  671  780  813 1046 1059]
label_predict: [  51  147  189  744  813  896  903 1092]
label_predict: [ 147  156  189  259  418  541  542  813  835 1092]
label_predict: [  58  121  147  189  554  558  744  764  813  903 1092]
label_predict: [  99  121  420  433  517  718  738  813  962 1092]
6659it [02:36, 45.74it/s]
label_predict: [121 415 464 684 724 955]
label_predict: [  99  161  304  331  487  489  718  758  774  813 1059]
label_predict: [  99  161  304  718  813  896  961 1092]
label_predict: [  79  194  420  489  671  780  813 1059]
label_predict: [  51  147  813 1092]
label_predict: [  25  161  331  534  584  734  813 1059 1092]
label_predict: [  51   99  121  304  489 1059]
label_predict: [  51  147  189 1059]
label_predict: [  79  194  487 1059]
label_predict: [  51  147  189  813 1092]
6669it [02:37, 46.38it/s]
label_predict: [  79  121  194  487 1059 1062]
label_predict: [ 121  369  464 1039 1059]
label_predict: [  13  147  189  655  744  813  903 1092]
label_predict: [ 58 121 182 188 239 428 558 724 744 754 903 922 955]
label_predict: [121 161 304 369 415 464 955]
label_predict: [  51  147  156  227  322  339  584  612  671  780  813  954 1059 1092]
label_predict: [ 147  156  189  738  813 1046 1092]
label_predict: [  51  147  189  813 1046 1092]
label_predict: [ 147  189  477  552  671  768  780 1034]
label_predict: [ 147  156  189  813  835 1092]
6679it [02:37, 45.26it/s]
label_predict: [  51  147  189  498  813  961 1092]
label_predict: [ 13  14  51 147 552 626 716]
label_predict: [  79  121  147  194  776  830 1046 1099]
label_predict: [ 33  35  99 313 420 738 835 955 962]
label_predict: [ 13 147 369 552 716]
label_predict: [  51   79  147  189  304  369  436  671  780 1059]
label_predict: [ 55 131 147 189 552 671 768 780]
label_predict: [147 156 189 477 485 603 671 695 780]
6689it [02:37, 43.36it/s]
label_predict: [  13  404  405  896  903 1092]
label_predict: [ 147  189  813  896 1092]
label_predict: [ 13  51 147 189 434 554 744]
label_predict: [ 147  156  189  194  477  671  780  813 1092]
label_predict: [  99  121  161  304  489  758  774 1059]
label_predict: [ 147  189  418  541  800  813 1092]
label_predict: [  51   79  147  189  671  780  813 1034]
label_predict: [  79  147  156  189  813  961 1092]
label_predict: [  13   51  147  744  813 1092]
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label_predict: [  51   79  121  147 1059]
label_predict: [ 147  189  306  744  811  813  895  903 1092]
label_predict: [  51  147  189  733  738  813 1046 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [  13   51  111  147  189  480  483  501  737  738  776  813  923 1046]
label_predict: [  51  147  189  718  813 1092]
label_predict: [  51   79  147  189  212  671  813 1059]
label_predict: [  79  147  189  498  813 1092]
label_predict: [ 147  189  430  434  501  545  559  738  747  813 1092]
label_predict: [ 121  420  582  962 1023]
6709it [02:38, 46.46it/s]
label_predict: [161 304 813 962]
label_predict: [   1   33  420  582  962 1023]
label_predict: [  13   51  147  744  813  896  952 1092]
label_predict: [ 147  189  813  835 1092]
label_predict: [  79  188  189  477  487  489  612  671  780 1059 1062]
label_predict: [ 147  156  189  332  541  744  813  903 1092]
label_predict: [ 121  813  903 1059]
label_predict: [  13   51  147  189  434  501  559  615  813 1022]
label_predict: [ 147  189  671  780 1034]
label_predict: [  79  487  671 1059 1062]
6714it [02:38, 45.67it/s]
label_predict: [  79  121  189  194  498  813 1059 1062]
label_predict: [ 121  369  433  563  566  582  615  813 1023 1034 1061 1099]
label_predict: [  13   51  147  189  430  434  501  559  813 1092]
label_predict: [  51  147  156  189  744  813 1059 1092]
label_predict: [ 51 147 189 434 813 835 858]
label_predict: [ 131  147  189  378  671  768  780 1034]
label_predict: [ 147  156  189  744  813  835  903  962 1092]
label_predict: [ 121  184  313  962 1039 1059]
6724it [02:38, 42.08it/s]
label_predict: [   1   33  256  275  369  432  582  724  962 1023 1061]
label_predict: [  51  111  147  483  737  738  776  813 1046 1092]
label_predict: [  51  147  194  813 1059 1092]
label_predict: [121 147]
label_predict: [ 147  189  418  541  663  800  813  835  949 1092]
label_predict: [ 147  483  738  776  813 1046 1092]
label_predict: [147 188 189 369 671]
label_predict: [  79  147  188  420  477  489  612  671  738  780  813 1046 1059 1062]
label_predict: [  13   51  147  744  813  896  903  952 1092]
label_predict: [  13  147  813  896  903 1092]
6734it [02:38, 44.45it/s]
label_predict: [  51  147  156  189  369  436  671  720  780 1059]
label_predict: [  51  147  189  813  896 1092]
label_predict: [ 13 147 369 978]
label_predict: [ 147  189  369  671  780 1034]
label_predict: [ 147  813 1059 1092]
label_predict: [  79  147  420  671  776  780  813 1046 1092]
label_predict: [ 111  147  189  259  813  835 1046 1092]
label_predict: [  79  194  369  489  671 1059]
label_predict: [  99  121  189  498  718  813 1092]
label_predict: [  51  147  156  189  369 1059]
6744it [02:38, 46.38it/s]
label_predict: [  13   51  111  147  189  483  738  776  813  830 1046 1092]
label_predict: [  13  718  813  896 1092]
label_predict: [  79  147  194  671  780 1034 1046]
label_predict: [ 369  487 1059]
label_predict: [ 184  369  766 1039 1059]
label_predict: [121 147 189 813]
label_predict: [  25  161  534  611  734  738  800  813  953  974  993 1059 1092]
label_predict: [  79  147  156  161  194  584  671  813 1059 1092]
label_predict: [  51  111  147  189  813 1046 1092]
label_predict: [  79  147  194  369  813 1059 1092]
6754it [02:39, 45.88it/s]
label_predict: [  51  147  189  744  813  835  903 1092]
label_predict: [  13  477  670  813 1092]
label_predict: [ 147  156  189  259  541  800  813  835 1092]
label_predict: [  79  180  188  428  477  671  733  744  803  813 1046 1092 1099]
label_predict: [ 147  718  813  896 1092]
label_predict: [  51  147  369  436  671  744  813 1019]
label_predict: [ 127  156  189  245  289  300  368  369  436  587  766 1020 1059 1084]
label_predict: [  13  404  405  896  903 1092]
label_predict: [ 147  747  813 1092]
6764it [02:39, 45.28it/s]
label_predict: [  99  121  189  482  498  718  813 1092]
label_predict: [ 111  147  189  744  813  896  903 1092]
label_predict: [ 13  14  51 147 552 626 671 780]
label_predict: [ 111  147  189  813 1092]
label_predict: [147 369 813]
label_predict: [  13   51  147  813  896  903 1092]
label_predict: [  79  121  194  487  671  813 1059 1062 1092]
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label_predict: [ 156  189  300  369  587  726  766  994 1020 1059 1084]
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label_predict: [ 35 420 718 738 813 835 962]
label_predict: [121 415 724 955 962]
label_predict: [  51  111  147  156  189  813 1046 1092]
label_predict: [  13   79  147  156  671  780 1059 1062 1092]
label_predict: [  79  147  188  189  671  780  813 1034 1035 1092]
label_predict: [  99  161  718  813  896  961 1092]
label_predict: [  51  147  189  194  671  738  780  813 1034 1059]
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label_predict: [  51  147  189  813 1092]
label_predict: [ 147  189  663  800  813  835 1092]
label_predict: [ 483  737  738  776  813  830 1046 1092]
label_predict: [  70  147  189  259  418  541  800  813  835  949 1092]
label_predict: [  13   51  147  189  552  671  780 1034]
label_predict: [ 147  156  189  671  744  780  813  835  858 1062 1092]
label_predict: [121 194 813 844]
label_predict: [  79  194  369  671  813 1059]
label_predict: [  51  111  147  189  483  738  776  813 1046 1092]
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label_predict: [  13  445  457  813  896  903 1092]
label_predict: [121 147 433 552]
label_predict: [  13   51  131  147  189  552  671  768  780 1034]
label_predict: [  13  445  813  896  903 1092]
label_predict: [ 147  189  738  813 1046 1092]
label_predict: [  99  718  813  896 1092]
label_predict: [  51   79  147  156  189  194  227  369  489  584  612  671  780  813
  954 1030 1059 1092]
label_predict: [ 147  189  718  800  813  896 1092]
6804it [02:40, 45.07it/s]
label_predict: [  51  147  189  813 1092]
label_predict: [  79  121  304  754 1059]
label_predict: [  51   79  147  156  189  420  477  671  780  813 1046 1092]
label_predict: [  13  121  147  188  189  552  671  744  813 1092]
label_predict: [ 369  587  766 1020 1039 1059]
label_predict: [ 147  189  259  418  800  813  835 1046 1092]
label_predict: [ 369  438  726  766 1039]
label_predict: [  13   51  147  189  552  671  780  813 1092]
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label_predict: [ 51  79 147 189 369 597 671 780]
label_predict: [  51  147  194  671  744  780  813 1092 1099]
label_predict: [  79  147  489  671 1059]
label_predict: [ 121  147  304  369  436  552  720  840 1039]
label_predict: [  51  147  189  430  434  501  559  738  747  813 1092]
label_predict: [  51  147  189  671  780  813 1092]
label_predict: [  13  813  896  903 1092]
label_predict: [ 121  482  498  718  813  961 1092]
label_predict: [ 51  79 147 156 194 369 477 489 612 671 780 954]
label_predict: [  79  147  156  194  477  489  584  612  671  780  813  954 1046 1059
 1062 1092]
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label_predict: [ 147  156  189  259  541  542  813 1092]
label_predict: [ 13  41  51 147 552 671 768 780]
label_predict: [  13  477  671  813 1092]
label_predict: [  99  121  718 1059]
label_predict: [ 188  744  803  813 1092 1099]
label_predict: [121 125 161 304 634 754 872 922]
label_predict: [  51  369  813 1019 1059]
label_predict: [ 147  156  189  259  541  813  835 1092]
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6829it [02:40, 44.48it/s]
label_predict: [ 13  14  51 127 147 552 655 671 716 780]
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label_predict: [ 147  194  552  671  780  813 1034 1092]
label_predict: [ 147  189  813 1092]
label_predict: [  51  147  156  189  671  780  813 1059]
label_predict: [147 156 189 477 485 603 671 780]
label_predict: [ 147  156  189  541  813  949  961 1092]
label_predict: [  79  189  194  671  813 1059 1062]
6839it [02:41, 44.36it/s]
label_predict: [ 369 1039 1059]
label_predict: [ 121  194  369  433  813 1039 1059 1092]
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label_predict: [  13   79  147  188  189  477  552  671  780  813 1046]
label_predict: [ 13 147 189 552 671 780]
label_predict: [ 147  188  189  428  671  744  803  813 1092 1099]
label_predict: [ 147  189  671  780 1034]
label_predict: [ 147  156  189  671  780  813  835 1034 1092]
label_predict: [  51  147  156  212  339  477  584  671  780  813 1059 1062 1092]
label_predict: [ 99 161 304 464 634 754 872]
6849it [02:41, 44.93it/s]
label_predict: [ 147  189  671  780  813  835 1092]
label_predict: [ 147  189  813  896  903 1092]
label_predict: [  79  194  487  671  780 1059 1062]
label_predict: [  13  813  896  903 1092]
label_predict: [147 189 552 597 671 768 780]
label_predict: [  79  147  189  194  813 1092]
label_predict: [  51   79  147  156  189  482  498  813  961 1092]
label_predict: [  51  147  156  189  369  626  671 1059]
label_predict: [  13   51  147  189  813 1092]
6859it [02:41, 45.60it/s]
label_predict: [ 147  156  189  332  418  541  542  579  581  753  796  813  949 1072
 1092]
label_predict: [  51  147  156  628  671 1059]
label_predict: [  13   51  111  147  189  738  813 1046 1092]
label_predict: [ 147  304  369 1059]
label_predict: [147 156 189 485 671 780]
label_predict: [  99  121  161  304 1059 1061]
label_predict: [  51  147  189  430  434  559  738  813 1092]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [  51  147  189  498  813  961 1092]
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6869it [02:41, 44.98it/s]
label_predict: [  79  121  962 1059]
label_predict: [  13  147  813  896  903 1092]
label_predict: [ 121  188  189  813 1023 1034]
label_predict: [  51   79  147  156  194  227  477  489  584  612  671  780  954 1059]
label_predict: [  79  147  189  194  498  671  718  813 1059 1092]
label_predict: [ 147  189  744  813  896  903 1092]
label_predict: [ 147  194  552  671  780 1034]
label_predict: [  79  194  487  813 1059 1062]
label_predict: [ 58 121 188 428 558 724 744 955]
6879it [02:41, 43.25it/s]
label_predict: [121 184 304 313 369 415 464 872 962]
label_predict: [  51   99  304  813 1059]
label_predict: [  51  147  586 1039 1059]
label_predict: [  79  147  188  227  420  477  487  612  671  737  738  776  780  813
 1046 1062 1092]
label_predict: [  13   14   51  147  552  626 1056]
label_predict: [  51   79  147  156  671 1059]
label_predict: [  51  147  189  194  485  744  813 1092 1099]
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6884it [02:42, 40.00it/s]
label_predict: [121 161 304 415 464 634 872]
label_predict: [147 189 420 671 738 813 835 962]
label_predict: [  13   51  111  147  813 1046 1092]
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label_predict: [  13  147  813  896 1092]
label_predict: [  51  147  189  194  813 1092]
label_predict: [  51   79  147  156  189  194  477  489  612  671  780  954 1059]
label_predict: [  51  147  156  189  369  436  671  720  780  813 1059]
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label_predict: [  51  147  156  189  744  813  835 1092]
label_predict: [ 188  369 1059]
label_predict: [  13  147  194  552  671  780  813 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [121 161 204 304 415 634 872 961]
label_predict: [  79  147  156  194  489  584  671  780  813 1059 1092]
label_predict: [ 147  813  896 1092]
label_predict: [ 156  189  300  369  587  726  766 1020 1084]
label_predict: [ 13  14 147 552 626 671 780]
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6904it [02:42, 44.95it/s]
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label_predict: [147 156 189 485 607 671 695 780]
label_predict: [ 147  194  671  780 1092]
label_predict: [  13  405  896  903 1092]
label_predict: [  79  121  184  194  962 1059]
label_predict: [  79  147  156  194  584  612  671  780  813 1059]
label_predict: [ 147  156  189  259  663  800  813  835 1092]
label_predict: [ 188  813 1092]
label_predict: [ 147  156  189  587  813  961 1059 1084]
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6914it [02:42, 44.24it/s]
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label_predict: [  13  147  156  189  369  587  766 1084]
label_predict: [  79  147  189  671  768  780 1034 1035]
label_predict: [ 121  369  726 1039]
label_predict: [121 415 487 684 955]
label_predict: [  51  147  189  813 1092]
label_predict: [ 13 121 477 813]
label_predict: [  25  161  194 1059]
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label_predict: [  25  121  161  369  813 1059 1092]
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label_predict: [ 147  189  259  800  813  835 1092]
label_predict: [  51   79  147  156  189  194  489  584  671  780 1059]
label_predict: [ 147  813 1059 1092]
label_predict: [  13   51  147  189  813 1092]
label_predict: [121 724 813]
label_predict: [  13  445  813  896 1092]
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label_predict: [  79  121  184  313  962 1039 1059]
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label_predict: [ 111  147  189  259  813 1046 1092]
label_predict: [ 147  189  738  813 1046 1092]
label_predict: [ 121  718  813  896  962 1092]
label_predict: [  51  121  147  813  896 1092]
label_predict: [ 161  189  204  304  872 1059]
label_predict: [  79  147  189  194  671 1059]
label_predict: [  13   51  147  813  896 1092]
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label_predict: [  79  194  489  612  671  780 1059]
label_predict: [  51  147  189  813 1092]
label_predict: [ 156  189  245  300  337  355  369  554  587  726  766 1020 1059 1084]
label_predict: [ 147  189  554  558  612  744  811  813  896  903 1092]
label_predict: [  79  147  156  189  194  671  780  813 1046 1059]
label_predict: [ 147  189  369  436  671  780 1059]
label_predict: [ 35  99 313 420 738 962]
label_predict: [  51  147  156  189  532  671 1059]
label_predict: [ 99 121 718 813]
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6954it [02:43, 45.42it/s]
label_predict: [  13   14   51  147  552  567  626  671  780 1056]
label_predict: [ 147  189  671  780 1034]
label_predict: [  58  147  188  189  477  558  597  671  744  780  813  835  903 1092]
label_predict: [ 147  189  671  780 1034]
label_predict: [ 147  194  813  896 1092]
label_predict: [  99  161  304  718  813  961 1092]
label_predict: [  79  194  354  487 1059 1062]
label_predict: [121 194 420 754 813 844]
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label_predict: [  13   79  147  671  780  813 1046]
label_predict: [  51  147  189  813 1092]
label_predict: [  79  147  189  194  369  612  671  744  780  813 1059]
label_predict: [  51  147  212  369 1039 1059]
label_predict: [  51   76  147  156  189  227  339  671  780  813  961 1092]
label_predict: [ 13 127 147 552 716]
label_predict: [  13  405  813  896  903 1092]
label_predict: [ 147  188  189  671  813 1092]
6969it [02:43, 41.51it/s]
label_predict: [ 111  147  189  259  420  483  738  776  813 1046 1092]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [ 188  369  563 1019 1059 1061 1099]
label_predict: [ 147  189  813 1059 1092]
label_predict: [ 79 194 487 813 844]
label_predict: [  51  111  147  189  483  738  776  813 1046 1092]
label_predict: [  13   51  147  189  813 1092]
label_predict: [  51  147  156  189  813  961 1059 1092]
label_predict: [  13   51  147  189  813 1092]
label_predict: [  51  111  147  189  483  737  738  776  813 1046 1092]
6979it [02:44, 42.70it/s]
label_predict: [ 51 147 189 813]
label_predict: [  79  121  188  239  369  487  498  813 1059]
label_predict: [  51   76  147  156  189  227  339  671  780  813  961 1092]
label_predict: [  51  147  189  538  541  616  813  949 1092]
label_predict: [ 13 147 369 552 626 671 780]
label_predict: [  51   79  147  194  420  477  480  483  671  737  738  776  780  813
  830 1046]
label_predict: [  13  477  813  896 1092]
label_predict: [ 147  189  259  541  813 1046 1092]
label_predict: [ 121  161  487  498  813 1059 1092]
6989it [02:44, 43.39it/s]
label_predict: [ 111  147  156  189  259  420  541  813  835 1046 1092]
label_predict: [  79  147  156  189  671  780  813 1059 1062 1092]
label_predict: [ 79 121 182 194 813 872]
label_predict: [  51  147  189  744  813  896 1092]
label_predict: [  13  404  405  896  903 1092]
label_predict: [   1   33  420  582  738  955  962 1023]
label_predict: [ 189  430  434  483  501  545  559  737  738  813  931 1032 1046 1092]
label_predict: [  79  121  189  369  833  884 1039 1059]
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6999it [02:44, 44.26it/s]
label_predict: [  51   79  147  189  671  780  813 1046 1092]
label_predict: [  79  194  477  671  738  776  780  813 1046 1059]
label_predict: [184 369 754]
label_predict: [ 147  189  663  813  835 1092]
label_predict: [  13  489  552  716 1059]
label_predict: [  13   14   51  147  552  626  671  780 1056]
label_predict: [  13   51  147  189  716  718  813  896  903 1092]
label_predict: [ 121  147  304  369  813 1059]
label_predict: [ 111  147  189  483  737  738  776  813 1046 1092]
label_predict: [ 147  189  663  800  813 1092]
7009it [02:44, 44.27it/s]
label_predict: [  13  147  189  813  896  903  949 1092]
label_predict: [  51  147  189  538  616  733  734  813  993 1092]
label_predict: [  13  194  404  655  813 1020 1092]
label_predict: [ 147  156  189  498  813  961 1092]
label_predict: [ 13  51 147 552 626 671 780 813]
label_predict: [ 13  51 147 552 626 671 780]
label_predict: [ 116  161  304  487 1059]
label_predict: [ 615  813  896 1092]
label_predict: [  51  147  156  189  212  515  554  671  813 1059]
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7019it [02:45, 44.43it/s]
label_predict: [ 147  189  597  671  780 1034]
label_predict: [121]
label_predict: [ 121  369  464  493 1039]
label_predict: [ 194  485  671  744  780  813 1046 1092 1099]
label_predict: [  13  404  405  896  903 1092]
label_predict: [369 726]
label_predict: [ 147  156  189  541  796  813  896 1092]
label_predict: [ 121  188  189  369  428  582  597  724  813 1023 1099]
label_predict: [  51  147  189  554  744  813  896  903 1092]
7030it [02:45, 46.11it/s]
label_predict: [121 415 464 872 955 962]
label_predict: [121 147 464 813 872]
label_predict: [  79  147  156  194  612  671  780 1046 1059 1062]
label_predict: [304 813]
label_predict: [  13  405  896  903 1092]
label_predict: [  51  147  156  227  584  671  780  813  954 1030 1046 1092]
label_predict: [  79  121  147  189  498  813  961 1092]
label_predict: [ 147  189  335  671  780 1034]
label_predict: [  13  147  813  896 1092]
label_predict: [ 111  147  189  259  813  835 1092]
7040it [02:45, 47.66it/s]
label_predict: [ 147  189  420  671  780  813  835 1034 1092]
label_predict: [  79  147  156  189  194  813 1092]
label_predict: [  13  405  813  896 1092]
label_predict: [  51  147  283  532 1022 1059]
label_predict: [ 147  156  189  259  663  800  813  835 1092]
label_predict: [ 121  433  520  724  962 1039]
label_predict: [ 121  433 1039 1059]
label_predict: [  51  111  147  189  738  776  813 1046 1092]
label_predict: [  51  147  156  189  212  283  369  515  584  671  780  813 1059]
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7050it [02:45, 47.06it/s]
label_predict: [ 147  156  189  259  418  541  813  835  949 1092]
label_predict: [ 99 121 161 194 304 464 634 813 872]
label_predict: [ 147  189  259  813  835 1092]
label_predict: [ 121 1059]
label_predict: [ 111  147  189  480  483  501  737  738  776  813  931 1046]
label_predict: [  51   76   79  147  156  189  227  671  780  813  961 1062 1092]
label_predict: [  51  147  156  189  212  671  780  813 1059 1092]
label_predict: [  51  147  156  189  369  586  587  766  833 1039 1059]
label_predict: [ 147  189  450  558  671  744  813  903 1059]
label_predict: [  13  147  189  813 1092]
7055it [02:45, 45.33it/s]
label_predict: [  79  147  156  189  477  671  780  813 1034 1046 1092]
label_predict: [ 147  188  498  813 1092]
label_predict: [  51   79  147  189  671  780 1059 1062]
label_predict: [ 51 147 156 189 369 671 780 813]
label_predict: [  79  147  189  477  671  780  813 1034]
label_predict: [  79  147  189  194  477  639  671  780 1034 1059]
label_predict: [  51  147  156  189  813 1059 1092]
label_predict: [ 121  147  189  724  813 1059]
label_predict: [ 58 121 188 428 558 724 744 754 955]
7065it [02:46, 44.22it/s]
label_predict: [ 13 127 147 552]
label_predict: [  51   76  147  156  189  227  252  477  671  780  813  961 1092]
label_predict: [  79  147  188  477  518  671  780 1034 1035 1059]
label_predict: [  13   51  147  189  718  813  896  903 1092]
label_predict: [  51   79  147  156  477  487  671  780 1059 1062]
label_predict: [  51  147  156  189  586 1059]
label_predict: [ 147  156  189  332  418  541  542  579  796  813  949 1072 1092]
label_predict: [ 194  813  896 1034 1092]
label_predict: [ 121  147  189  671  780  813 1034 1046]
7075it [02:46, 44.76it/s]
label_predict: [ 147  189  420  813  835 1092]
label_predict: [  13   51  147  189  813  896 1092]
label_predict: [  51  147  189  813 1092]
label_predict: [  25  161  180  194  420  423  425  444  534  584  611  642  707  722
  733  734  738  751  797  800  813  897  953  974  993 1059 1092]
label_predict: [  51  147  189  194  813 1046 1092]
label_predict: [  13  445  477  670  813 1092]
label_predict: [ 121  738  813  962 1092]
label_predict: [ 147  189  434  501  738  813 1092]
label_predict: [ 147  156  189  541  542  813  949 1092]
label_predict: [  51  147  156  227  322  369  477  612  671  780  813  954 1092]
7086it [02:46, 47.57it/s]
label_predict: [ 147  189  738  813 1092]
label_predict: [ 147  189  813 1092]
label_predict: [ 121  194  813 1059 1092]
label_predict: [ 304  813 1061]
label_predict: [ 147  189  744  811  813  835  903 1092]
label_predict: [ 147  420  738  813  835  962 1092]
label_predict: [  79  147  671  813  896 1059 1092]
label_predict: [  51   79  147  156  369  489  584  612  671 1059]
label_predict: [  79  194  487  671  780 1059 1062]
label_predict: [ 147  189  418  541  796  813  949 1072 1092]
label_predict: [ 147  813  896 1092]
7097it [02:46, 49.01it/s]
label_predict: [ 483  501  737  738  813  931 1046]
label_predict: [  51   79  147  156  189  612  671  780  813 1059 1092]
label_predict: [  51  147  156  227  322  369  477  554  612  671  780  813  929  954
 1092]
label_predict: [ 121  433 1039]
label_predict: [ 147  156  189  259  420  541  663  813  835 1046 1092]
label_predict: [  13  147  698  813  896  903 1092]
label_predict: [  51  147  156  189  515  628  813 1059]
label_predict: [ 147  156  189  259  418  541  542  579  813  949 1092]
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label_predict: [ 194  404  655  671  744  813 1020 1046 1092]
label_predict: [  13  405  896  903 1092]
label_predict: [  79  147  156  189  194  477  671  780  813 1034 1059]
label_predict: [  79  147  189  194  671  780 1034]
label_predict: [  51  121  147  189  436  655  671  780  813 1092]
label_predict: [  99  161  304  718  813  961 1092]
label_predict: [ 147  189  813  835 1092]
label_predict: [147 156 189 485 603 607 671 695 780]
label_predict: [147 304 369 464 634 872]
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label_predict: [  13  147  813  896 1092]
label_predict: [  13   51  147  813  896 1092]
label_predict: [ 121  304  369 1059 1061]
label_predict: [  79  194 1059]
label_predict: [ 194  404  568  655  744  813 1020 1092 1099]
label_predict: [ 125  161  304  487  813 1059]
label_predict: [  18   25  161  194  331  534  584  734  758  813  953  974 1059 1062
 1092]
label_predict: [  51  111  147  189  480  483  738  776  813 1046]
label_predict: [ 147  156  189  477  485  603  607  671  695  780 1069]
label_predict: [  51  147  813 1046 1092]
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label_predict: [  13   51  147  519  813 1092]
label_predict: [  79  138  188  189  477  487  489  612  671  780 1062]
label_predict: [  79  194 1059]
label_predict: [  51  147  189  434  813 1092]
label_predict: [ 147  813  896 1092]
label_predict: [ 99 161 304 718 774 813]
label_predict: [  13   51  147  477  671  744  813 1092]
label_predict: [  51  147  156  189  194  813 1046 1092]
label_predict: [  51  111  147  189  501  738  813 1046 1092]
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label_predict: [ 111  147  189  420  483  573  738  776  813  830 1046 1092]
label_predict: [  13  147  813  896  903 1092]
label_predict: [  13  121  188  597  724  813 1092 1099]
label_predict: [ 483  501  737  738  813 1046]
label_predict: [ 147  180  188  231  428  615  744  803  813 1092 1099]
label_predict: [  51  147  813 1059 1092]
label_predict: [ 33  99 313 420 738 813 835 962]
label_predict: [ 483  737  738  776  813  830 1046]
label_predict: [ 13  51 147 552 716]
label_predict: [  13  121  194  813 1059 1092 1099]
7148it [02:47, 46.04it/s]
label_predict: [121 189 552]
label_predict: [ 121  813 1092]
label_predict: [147 156 189 671 780 813 835]
label_predict: [ 121  147  189  671  780  813 1034 1046 1092]
label_predict: [  13  477  813 1092]
label_predict: [  51  111  147  156  189  259  420  733  738  776  813 1046 1092]
label_predict: [147 189 430 434 480 483 501 545 559 737 738 813 871 931]
label_predict: [ 13 127 147 552 626]
label_predict: [  13  147  189  813  896  903 1084 1092]
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label_predict: [  79  147  188  189  477  612  671  780 1059]
label_predict: [  13  813 1092]
label_predict: [  51   79  147  156  189  212  227  339  477  487  584  671  780  813
 1059 1062 1092]
label_predict: [ 13  41  51 147 552 671 768 780]
label_predict: [  13   51  147  189  813 1092]
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label_predict: [  13   79  147  189  813 1092]
label_predict: [ 51 147 189 612 671 754 780 813]
label_predict: [  13  121  430  434  501  545  559  738  813 1092]
7164it [02:48, 46.70it/s]
label_predict: [  51  111  147  156  189  541  616  813 1046 1092]
label_predict: [ 13  41 147 189 552 671 768 780]
label_predict: [  51  147  156  189  436  498  813 1059 1092]
label_predict: [ 121  433 1046]
label_predict: [ 147  189  369  436 1059]
label_predict: [  13   51  147  189  552  655  671  780  813 1092]
label_predict: [  51  147  154  156  189  348  369  477  671  744  780  813  889  903
 1059 1080 1092]
label_predict: [  51   79  147  156  671  780 1059 1062]
label_predict: [  45  111  147  189  480  483  501  733  737  738  776  813  923 1046]
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label_predict: [ 121  464  634  754  872 1039]
label_predict: [  79  147  189  194  420  489  584  671  813  835 1059]
label_predict: [ 111  147  189  501  545  580  737  738  813  993 1046 1092]
label_predict: [  79  304  487  671  758 1059 1062]
label_predict: [ 147  156  189  418  430  434  501  541  559  813  835  949 1092]
label_predict: [  51   79  147  189  671  744  813 1059]
label_predict: [ 147  156  189  259  418  541  542  813  835 1020 1072 1092]
label_predict: [  51  121  147  189  813 1059]
label_predict: [  51   79  147  369  489  493  612  671  780 1059]
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7184it [02:48, 47.55it/s]
label_predict: [ 147  189  194  671  780 1034]
label_predict: [ 194  480  483  494  725  737  738  744  776  813  826  830 1046 1092]
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label_predict: [ 147  189  430  434  501  559  738  813 1046 1092]
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label_predict: [ 121  147  188  189  744  813  903 1092]
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label_predict: [ 121  147  188  671  780  813 1092]
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label_predict: [  13  405  776  813  830  896 1046 1092]
label_predict: [  13  813  896  903 1092]
label_predict: [ 121  433 1039]
label_predict: [ 147  156  813 1092]
label_predict: [  79  147  189  194  489  671  780 1059]
label_predict: [  79  147  156  189  194  813 1059 1092]
label_predict: [ 147  156  189  259  418  541  542  813  835 1072 1092]
label_predict: [  79  121  184  433 1059]
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7204it [02:49, 43.05it/s]
label_predict: [  51  147  188  189  744  813  896 1092]
label_predict: [147 156 189 485 603 671 695 780]
label_predict: [ 156  189  300  355  369  554  587  726  766  994 1020 1084]
label_predict: [  51  111  147  189  420  483  737  738  776  813 1046 1092]
label_predict: [  79  147  194  477  671  738  780  813 1034 1046 1092]
label_predict: [ 13  14  51 147 552 671 780]
label_predict: [  79  147  156  188  420  671  813 1024 1092]
label_predict: [  79  147  188  189  671  780 1034 1059]
label_predict: [121 415 464 487 681 684 748 925 955]
7214it [02:49, 44.10it/s]
label_predict: [121 147 189 671 780]
label_predict: [ 147  189  306  744  811  813  896  903 1092]
label_predict: [  79  121  194  415  487  663  684  703  704  724  735  738  748  809
  813  844  961 1092]
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label_predict: [  51  147  189  813  896  903 1092]
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label_predict: [  51   79  147  156  189  194  369  465  487  671  738  780  833 1059
 1062]
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label_predict: [ 111  147  189  738  813 1046 1092]
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label_predict: [ 13  14  51 127 147 552 555 626 671 780 925]
label_predict: [147 156 189 477 485 603 671 695 780 835]
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label_predict: [ 79 121 147 189 194 369 438 671]
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label_predict: [  18   25   51   61   99  125  161  304  331  489  584  758  774 1059]
label_predict: [ 13 147 189 552 671 780]
label_predict: [ 147  189  418  541  542  796  813  949 1072 1092]
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label_predict: [  51  147  477  554  615  671  744  780 1059]
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label_predict: [  13  194  404  813 1092]
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label_predict: [  51  147  156  369  477  612  671  780  813  954 1059]
label_predict: [147 156 189 813]
label_predict: [ 147  369 1059]
label_predict: [  13   51  147  554  744  813  896  903 1092]
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label_predict: [ 813 1046 1092]
label_predict: [121 147 189 194 420 597 671]
label_predict: [ 111  147  483  737  738  776  813  830 1046 1092]
label_predict: [  79  147  156  189  194  489  612  671  780 1059]
label_predict: [  79  147  194  487  671 1059 1062]
label_predict: [  51  111  135  147  156  227  322  554  584  612  671  746  780  954
 1059]
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label_predict: [184 189 304 369 464 634 872]
label_predict: [  51  147  189  744  813  835  896  903 1092]
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label_predict: [ 114  121  217  236  304  774 1039 1061]
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label_predict: [  13   51  147  420  480  483  501  737  738  776  813  830 1046 1092]
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7281it [02:50, 47.51it/s]
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label_predict: [ 483  737  738  776  813 1046]
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label_predict: [121 161 304 415 724 735 744 809 813 922 955 962]
label_predict: [ 147  156  189  259  418  541  542  813  949 1072 1092]
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label_predict: [ 147  189  194  671  780 1034]
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label_predict: [  51   79  147  156  189  554  612  671  780 1059]
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label_predict: [147 189 813]
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label_predict: [ 147  189  813  896 1092]
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label_predict: [121 182 464 634 754 872]
label_predict: [  13   51  147  813  896 1092]
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label_predict: [ 33  99 313 420 738 813 835 955 962]
label_predict: [  79  477  487  671  780 1046 1059 1062]
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label_predict: [ 147  189  194  671  768  780 1034]
label_predict: [121 147 188 189 597 671 813]
label_predict: [  13   51  147  189  716  718  813  896  903 1092]
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label_predict: [ 13 147 552 626 671 780]
label_predict: [  13  404  405  896  903 1092]
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label_predict: [ 13 121 432 433 718 724 813]
label_predict: [ 147  813  896 1092]
label_predict: [ 13 147 189 552 671 780]
label_predict: [ 121  369  420  428  433  582  724  738  813 1023 1059 1099]
label_predict: [  51  111  147  189  480  483  501  737  738  776  813  830  923 1046]
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label_predict: [  51  147  156  212  671  744  780  813  889 1059 1080 1092]
label_predict: [  51  147  156  189  212  227  283  515  584  671  813  961 1059 1062
 1092]
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label_predict: [ 615  813  896 1092]
label_predict: [  13  147  369  671 1059]
label_predict: [ 13  51 147 189 369]
label_predict: [  13   51  147  776  813 1046]
label_predict: [ 147  189  671  768  780 1034]
label_predict: [ 121  369 1039]
label_predict: [ 147  156  189  813  961 1092]
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label_predict: [  13   51  147  483  738  776  813 1046 1092]
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label_predict: [  51  147  189  485  671  744  780  813 1092]
label_predict: [ 121  304  369  813 1059]
label_predict: [  79  121  194  813  844 1059]
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label_predict: [  79  194  671  780  813 1046 1092 1099]
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label_predict: [  51  147  189  813 1059 1092]
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label_predict: [ 483  737  738  776  813  830 1046]
label_predict: [  51  147  188  189  420  477  597  671  744  813  835 1059 1092]
label_predict: [ 111  147  189  738  776  813 1046]
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label_predict: [ 194  480  483  494  737  738  744  776  813  830  923 1046 1092]
label_predict: [147 156 189 485 603 607 671 695 780]
label_predict: [  51  147  189  671  780  813 1059 1092]
label_predict: [  51  147  189  194  813  896  903 1092]
label_predict: [ 161  304 1059]
label_predict: [  79  121  189  482  487  498  813  961 1092]
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label_predict: [  51  147  189  813  896 1092]
label_predict: [  51  147  156  189  212  227  584  671  780  813 1059 1062 1092]
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label_predict: [  79  194  489  584  671 1059]
label_predict: [ 13  51 131 147 189 552 671 780 813]
label_predict: [ 147  189  612  744  811  813  835  896  903 1092]
label_predict: [ 147  189  813 1046 1092]
label_predict: [ 483  494  501  516  548  549  737  738  776  813  923  924  931  993
 1033 1046]
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label_predict: [  13  405  813  896 1092]
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label_predict: [  13   51  147  156  227  671  813  896  961 1092]
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label_predict: [  51  147  156  189  744  813  835 1092]
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label_predict: [147 189 552 626 671 780]
label_predict: [ 13  14  51 147 552 626 671 780]
label_predict: [  79  156  194  369  436  671  780 1059]
label_predict: [  13  147  552  626  671  813 1092]
label_predict: [  51  147  156  189  744  813  835  903 1092]
label_predict: [ 194  738  813 1059 1092]
label_predict: [ 161  189  498  718  813 1092]
label_predict: [ 147  156  189  813 1059]
label_predict: [  13   51  147  194  480  483  737  738  776  813  830 1046 1092]
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label_predict: [ 194  404  813 1020 1046 1092]
label_predict: [  13  445  457  477  670  671  813  896 1092]
label_predict: [ 147  189  430  434  501  545  559  738  813  931 1046 1092]
label_predict: [ 188  304  489  612  671  780 1059]
label_predict: [ 13 477 670 671 746 813]
label_predict: [  79  147  156  189  369  671  780  813 1059 1092]
label_predict: [121 204 304 813]
label_predict: [  79  147  156  194  477  489  584  612  671  780 1059]
label_predict: [  79  147  156  188  189  671  780 1034 1035]
label_predict: [  79  147  188  189  518  552  671  780 1035]
7428it [02:54, 43.07it/s]
label_predict: [  51  111  135  147  156  227  283  322  369  477  489  554  584  612
  671  746  780  954 1059]
label_predict: [  79  147  813 1046 1059 1092]
label_predict: [  51  147  189  813 1046 1092]
label_predict: [ 13  41  51 147 552 626 671 768 780]
label_predict: [  13  404  405  896  903 1092]
label_predict: [147 189 552 671 768 780]
label_predict: [  51   79  147  776  813 1046 1059 1092]
label_predict: [  51  147  189  738  813 1046]
label_predict: [  51  147  189  554  612  744  811  813  896  903 1092]
label_predict: [  79  121  194  369  754 1039]
7439it [02:54, 46.19it/s]
label_predict: [ 121  813  896  903  962 1092]
label_predict: [  79  194  489  584  671  780 1059 1062]
label_predict: [  79  147  156  189  487  671  780 1059 1062]
label_predict: [121 182 634 754 872 922 955]
label_predict: [  51  111  147  189  813 1046 1092]
label_predict: [  51   99  147  718  813  896  903  961 1092]
label_predict: [  13   51  147  189  718  813  896  903 1092]
label_predict: [ 194  404  744  813 1020 1046 1092]
label_predict: [ 121  158  184  304  369  464 1039 1059 1061]
label_predict: [  13   51  147  189  744  813  896  903 1092]
label_predict: 
7443it [02:54, 42.67it/s]
[  51  147  189  418  541  813  949 1092]
label_predict: [ 147  156  189  671  780 1034 1035]
label_predict: [ 131  147  155  189  378  671  768  780 1034]
label_predict: [  99  161  304  487  758  813 1059]

In [50]:
result_predict
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 '79 147 194 671 780 813 1092',
 '51 79 147 156 189 420 477 489 554 584 612 671 738 780 813 835 1046 1059 1092',
 '51 79 147 188 189 477 639 671 738 744 780 813 950 1034 1035 1046 1092',
 '79 121 189 369 671 754',
 '194 404 655 738 744 813 1020 1046 1092 1099',
 '13 14 51 147 552 626 671 716 780',
 '51 147 156 489 584 671 1059',
 '51 147 189 776 813 1046 1092',
 '13 51 147 194 744 813 952 1092',
 '33 121 420 432 582 724 738 813 962 1023',
 '369 436 671 813 1019 1059',
 '131 147 189 378 597 671 768 780 1034',
 '121 147 161 189 204 304 450 813',
 '13 147 189 552 626 671 780',
 '51 79 147 188 189 194 477 552 639 671 780 1034 1059',
 ...]
In [51]:
submit = pd.read_csv('../input/imet-2019-fgvc6/sample_submission.csv')
submit['attribute_ids'] = result_predict
submit.to_csv('submission.csv', index=False)
In [52]:
submit
Out[52]:
id attribute_ids
0 10023b2cc4ed5f68 121 369 587 634 766 1059
1 100fbe75ed8fd887 121 369 1034 1039
2 101b627524a04f19 79 147 189 369 498 813 961 1092
3 10234480c41284c6 13 51 111 147 189 483 573 738 776 813 830 1046...
4 1023b0e2636dcea8 51 147 156 189 369 477 612 671 780 813 1092
5 1039cd6cf85845c 13 405 896 903 1092
6 103a5b3f83fbe88 13 194 477 655 671 813 1092
7 10413aaae8d6a9a2 13 51 147 189 335 813 1092
8 10423822b93a65ab 13 51 147 189 1059
9 1052bf702cb099f7 51 147 189 552 597 671 780 813 1092
10 10543c918a43a8d 147 189 259 418 541 663 800 813 835 1046 1092
11 105c9a3453da79c3 121 147 189 464 493 552 840 1039 1059
12 1060688bbf6eac87 147 156 189 418 541 542 579 753 796 813 949 10...
13 106a247caeabd15a 79 147 194 477 552 639 671 780 950 1034 1035
14 106e21606add59f3 111 147 189 738 813 1046 1092
15 107c38495881b6c9 51 111 147 156 189 212 283 515 554 584 671 746...
16 108815dd3752ab64 51 147 188 189 369 597 612 671 744 813 903
17 10943defdd5d5e89 79 99 121 182 189 369 420 754 813 1059
18 10a39a78c44ef27c 51 147 180 188 733 744 803 813 1092 1099
19 10ab70df067bdb4 13 14 51 147 552 626 716 1056
20 10b28e3de3566582 147 188 189 552 671 780 1034 1035
21 10b32964331a6cc3 79 99 498 813 961 1092
22 10b4562e7fa6f668 147 156 189 477 485 603 607 671 780
23 10db1c338e1d822f 51 79 147 156 188 477 489 612 671 738 780 813 ...
24 10e0c215f5f3084e 79 147 194 369 671 813
25 10e95bead8e0b35b 51 147 189 671 813 1046 1092
26 1100d7b0f24fee88 111 147 189 738 776 813 1046 1092
27 11099b321e8c7066 147 156 189 477 485 603 671 695 780 835
28 110df388fd5c50e4 147 813 896 1092
29 113520ea0138f76d 51 147 189 554 744 813 896 903 1092
... ... ...
7413 ff2da1f0ed3e3ebe 13 477 670 671 746 813
7414 ff3a9fa43f8eab9c 79 147 156 189 369 671 780 813 1059 1092
7415 ff44490e20740a19 121 204 304 813
7416 ff481bb029678d5d 79 147 156 194 477 489 584 612 671 780 1059
7417 ff4c3570fb7b90d3 79 147 156 188 189 671 780 1034 1035
7418 ff4f548d08414709 79 147 188 189 518 552 671 780 1035
7419 ff668377a518ea5f 51 111 135 147 156 227 283 322 369 477 489 554...
7420 ff6a549b2d7a0e76 79 147 813 1046 1059 1092
7421 ff6ee1b37c8dc1ae 51 147 189 813 1046 1092
7422 ff85460d6b853b49 13 41 51 147 552 626 671 768 780
7423 ff8721b85d1b5a5 13 404 405 896 903 1092
7424 ff8bef7d0de52b31 147 189 552 671 768 780
7425 ff92504c82c41e0f 51 79 147 776 813 1046 1059 1092
7426 ff9d4b77c124c9f2 51 147 189 738 813 1046
7427 ff9ddf70cb1c2674 51 147 189 554 612 744 811 813 896 903 1092
7428 ffaf8c3fe0b1d9b6 79 121 194 369 754 1039
7429 ffb61df4a6734772 121 813 896 903 962 1092
7430 ffb73f95b8721900 79 194 489 584 671 780 1059 1062
7431 ffb937b55755323e 79 147 156 189 487 671 780 1059 1062
7432 ffbcf8b91a8e8ce0 121 182 634 754 872 922 955
7433 ffbf4849bde21b0a 51 111 147 189 813 1046 1092
7434 ffc96e053345419d 51 99 147 718 813 896 903 961 1092
7435 ffcb16053099d795 13 51 147 189 718 813 896 903 1092
7436 ffcf745289465074 194 404 744 813 1020 1046 1092
7437 ffd1372fe67e65f0 121 158 184 304 369 464 1039 1059 1061
7438 ffd79eadf642221b 13 51 147 189 744 813 896 903 1092
7439 ffd96986aa333f4d 51 147 189 418 541 813 949 1092
7440 ffe54b454396d97c 147 156 189 671 780 1034 1035
7441 ffe7d7db4e4aa37f 131 147 155 189 378 671 768 780 1034
7442 ffed0a4aca0d5457 99 161 304 487 758 813 1059

7443 rows × 2 columns