# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

workspace: "models/recall/gru4rec"

dataset:
- name: dataset_train
  batch_size: 500
  type: DataLoader # QueueDataset
  data_path: "{workspace}/data/train"
  data_converter: "{workspace}/rsc15_reader.py"
- name: dataset_infer
  batch_size: 500
  type: DataLoader #QueueDataset
  data_path: "{workspace}/data/test"
  data_converter: "{workspace}/rsc15_reader.py"

hyper_parameters:
  recall_k: 20
  vocab_size: 37483
  hid_size: 100
  emb_lr_x: 10.0
  gru_lr_x: 1.0
  fc_lr_x: 1.0
  init_low_bound: -0.04
  init_high_bound: 0.04
  optimizer: 
    class: adagrad
    learning_rate: 0.01
    strategy: async

#use infer_runner mode and modify 'phase' below if infer
mode: [cpu_train_runner, cpu_infer_runner]
#mode: infer_runner

runner:
- name: cpu_train_runner
  class: train
  device: cpu
  epochs: 10
  save_checkpoint_interval: 1
  save_inference_interval: 1
  save_checkpoint_path: "increment_gru4rec"
  save_inference_path: "inference_gru4rec"
  save_inference_feed_varnames: ["src_wordseq", "dst_wordseq"] # feed vars of save inference
  save_inference_fetch_varnames: ["mean_0.tmp_0", "top_k_0.tmp_0"]
  print_interval: 10
  phases: [train]
- name: cpu_infer_runner
  class: infer
  init_model_path: "increment_gru4rec"
  device: cpu
  phases: [infer]

phase:
- name: train
  model: "{workspace}/model.py"
  dataset_name: dataset_train
  thread_num: 1
- name: infer
  model: "{workspace}/model.py"
  dataset_name: dataset_infer
  thread_num: 1