提交 35626254 编写于 作者: L leonwanghui

Bump the version number to 0.2.0-alpha

上级 ef71ae94
![MindSpore Logo](docs/MindSpore-logo.png "MindSpore logo")
============================================================
- [What is MindSpore?](#what-is-mindspore)
- [What Is MindSpore?](#what-is-mindspore)
- [Automatic Differentiation](#automatic-differentiation)
- [Automatic Parallel](#automatic-parallel)
- [Installation](#installation)
......@@ -29,7 +29,7 @@ enrichment of the AI software/hardware application ecosystem.
<img src="docs/MindSpore-architecture.png" alt="MindSpore Architecture" width="600"/>
For more details please check out our [Architecture Guide](https://www.mindspore.cn/docs/en/0.1.0-alpha/architecture.html).
For more details please check out our [Architecture Guide](https://www.mindspore.cn/docs/en/0.2.0-alpha/architecture.html).
### Automatic Differentiation
......@@ -76,7 +76,7 @@ For installation using `pip`, take `CPU` and `Ubuntu-x86` build version as an ex
1. Download whl from [MindSpore download page](https://www.mindspore.cn/versions/en), and install the package.
```
pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/0.1.0-alpha/MindSpore/cpu/ubuntu-x86/mindspore-0.1.0-cp37-cp37m-linux_x86_64.whl
pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/0.2.0-alpha/MindSpore/cpu/ubuntu-x86/mindspore-0.2.0-cp37-cp37m-linux_x86_64.whl
```
2. Run the following command to verify the install.
......@@ -96,20 +96,22 @@ currently the containerized build options are supported as follows:
| Hardware Platform | Docker Image Repository | Tag | Description |
| :---------------- | :---------------------- | :-- | :---------- |
| CPU | `mindspore/mindspore-cpu` | `0.1.0-alpha` | Production environment with pre-installed MindSpore `0.1.0-alpha` CPU release. |
| CPU | `mindspore/mindspore-cpu` | `x.y.z` | Production environment with pre-installed MindSpore `x.y.z` CPU release. |
| | | `devel` | Development environment provided to build MindSpore (with `CPU` backend) from the source, refer to https://www.mindspore.cn/install/en for installation details. |
| | | `runtime` | Runtime environment provided to install MindSpore binary package with `CPU` backend. |
| GPU | `mindspore/mindspore-gpu` | `0.1.0-alpha` | Production environment with pre-installed MindSpore `0.1.0-alpha` GPU release. |
| GPU | `mindspore/mindspore-gpu` | `x.y.z` | Production environment with pre-installed MindSpore `x.y.z` GPU release. |
| | | `devel` | Development environment provided to build MindSpore (with `GPU CUDA10.1` backend) from the source, refer to https://www.mindspore.cn/install/en for installation details. |
| | | `runtime` | Runtime environment provided to install MindSpore binary package with `GPU` backend. |
| | | `runtime` | Runtime environment provided to install MindSpore binary package with `GPU CUDA10.1` backend. |
| Ascend | <center>&mdash;</center> | <center>&mdash;</center> | Coming soon. |
> **NOTICE:** For GPU `devel` docker image, it's NOT suggested to directly install the whl package after building from the source, instead we strongly RECOMMEND you transfer and install the whl package inside GPU `runtime` docker image.
* CPU
For `CPU` backend, you can directly pull and run the image using the below command:
For `CPU` backend, you can directly pull and run the latest stable image using the below command:
```
docker pull mindspore/mindspore-cpu:0.1.0-alpha
docker run -it mindspore/mindspore-cpu:0.1.0-alpha python -c 'import mindspore'
docker pull mindspore/mindspore-cpu:0.2.0-alpha
docker run -it mindspore/mindspore-cpu:0.2.0-alpha python -c 'import mindspore'
```
* GPU
......@@ -124,20 +126,21 @@ currently the containerized build options are supported as follows:
sudo systemctl restart docker
```
Then you can pull and run the image using the below command:
Then you can pull and run the latest stable image using the below command:
```
docker pull mindspore/mindspore-gpu:0.1.0-alpha
docker run -it --runtime=nvidia --privileged=true mindspore/mindspore-gpu:0.1.0-alpha /bin/bash
docker pull mindspore/mindspore-gpu:0.2.0-alpha
docker run -it --runtime=nvidia --privileged=true mindspore/mindspore-gpu:0.2.0-alpha /bin/bash
```
To test if the docker image works, please execute the python code below and check the output:
```python
import numpy as np
import mindspore.context as context
from mindspore import Tensor
from mindspore.ops import functional as F
import mindspore.context as context
context.set_context(device_target="GPU")
x = Tensor(np.ones([1,3,3,4]).astype(np.float32))
y = Tensor(np.ones([1,3,3,4]).astype(np.float32))
print(F.tensor_add(x, y))
......@@ -161,7 +164,7 @@ please check out `docker` folder for the details.
## Quickstart
See the [Quick Start](https://www.mindspore.cn/tutorial/en/0.1.0-alpha/quick_start/quick_start.html)
See the [Quick Start](https://www.mindspore.cn/tutorial/en/0.2.0-alpha/quick_start/quick_start.html)
to implement the image classification.
## Docs
......
# Release 0.2.0-alpha
## Major Features and Improvements
### Ascend 910 Training and Inference Framework
* New models
* MobileNetV2: Inverted Residuals and Linear Bottlenecks.
* ResNet101: Deep Residual Learning for Image Recognition.
* Frontend and User Interface
* Support for all python comparison operators.
* Support for math operators **,//,%. Support for other python operators like and/or/not/is/is not/ in/ not in.
* Support for the gradients of function with variable arguments.
* Support for tensor indexing assignment for certain indexing type.
* Support for dynamic learning rate.
* User interfaces change log
* DepthwiseConv2dNative, DepthwiseConv2dNativeBackpropFilter, DepthwiseConv2dNativeBackpropInput([!424](https://gitee.com/mindspore/mindspore/pulls/424))
* ReLU6, ReLU6Grad([!224](https://gitee.com/mindspore/mindspore/pulls/224))
* GeneratorDataset([!183](https://gitee.com/mindspore/mindspore/pulls/183))
* VOCDataset([!477](https://gitee.com/mindspore/mindspore/pulls/477))
* MindDataset, PKSampler([!514](https://gitee.com/mindspore/mindspore/pulls/514))
* map([!506](https://gitee.com/mindspore/mindspore/pulls/506))
* Conv([!226](https://gitee.com/mindspore/mindspore/pulls/226))
* Adam([!253](https://gitee.com/mindspore/mindspore/pulls/253))
* _set_fusion_strategy_by_idx, _set_fusion_strategy_by_size([!189](https://gitee.com/mindspore/mindspore/pulls/189))
* CheckpointConfig([!122](https://gitee.com/mindspore/mindspore/pulls/122))
* Constant([!54](https://gitee.com/mindspore/mindspore/pulls/54))
* Executor and Performance Optimization
* Support parallel execution of data prefetching and forward/backward computing.
* Support parallel execution of gradient aggregation and forward/backward computing in distributed training scenarios.
* Support operator fusion optimization.
* Optimize compilation process and improve the performance.
* Data processing, augmentation, and save format
* Support multi-process of GeneratorDataset/PyFunc for high performance
* Support variable batchsize
* Support new Dataset operators, such as filter,skip,take,TextLineDataset
### Other Hardware Support
* GPU platform
* Use dynamic memory pool by default on GPU.
* Support parallel execution of computation and communication.
* Support continuous address allocation by memory pool.
* CPU platform
* Support for windows 10 OS.
## Bugfixes
* Models
* Fix mixed precision bug for VGG16 model ([!629](https://gitee.com/mindspore/mindspore/pulls/629)).
* Python API
* Fix ControlDepend operator bugs on CPU and GPU ([!396](https://gitee.com/mindspore/mindspore/pulls/396)).
* Fix ArgMinWithValue operator bugs ([!338](https://gitee.com/mindspore/mindspore/pulls/338)).
* Fix Dense operator bugs on PyNative mode ([!276](https://gitee.com/mindspore/mindspore/pulls/276)).
* Fix MatMul operator bugs on PyNative mode ([!288](https://gitee.com/mindspore/mindspore/pulls/288)).
* Executor
* Fix operator selection bugs and make it general ([!300](https://gitee.com/mindspore/mindspore/pulls/300)).
* Fix memory reuse bug for GetNext op ([!291](https://gitee.com/mindspore/mindspore/pulls/291)).
* GPU platform
* Fix memory allocation in multi-graph scenarios ([!444](https://gitee.com/mindspore/mindspore/pulls/444)).
* Fix bias_add_grad under fp16 precision ([!598](https://gitee.com/mindspore/mindspore/pulls/598)).
* Fix support for fp16 kernels on nvidia 1080Ti([!571](https://gitee.com/mindspore/mindspore/pulls/571)).
* Fix parsing of tuple type parameters ([!316](https://gitee.com/mindspore/mindspore/pulls/316)).
* Data processing
* Fix TypeErrors about can't pickle mindspore._c_dataengine.DEPipeline objects([!434](https://gitee.com/mindspore/mindspore/pulls/434))
* Add TFRecord file verification([!406](https://gitee.com/mindspore/mindspore/pulls/406))
## Contributors
Thanks goes to these wonderful people:
Alexey_Shevlyakov, Cathy, Chong, Hoai, Jonathan, Junhan, JunhanHu, Peilin, SanjayChan, StrawNoBerry, VectorSL, Wei, WeibiaoYu, Xiaoda, Yanjun, YuJianfeng, ZPaC, Zhang, ZhangQinghua, ZiruiWu, amongo, anthonyaje, anzhengqi, biffex, caifubi, candanzg, caojian05, casgj, cathwong, ch-l, chang, changzherui, chenfei, chengang, chenhaozhe, chenjianping, chentingting, chenzomi, chujinjin, dengwentao, dinghao, fanglei, fary86, flywind, gaojing, geekun, gengdongjie, ghzl, gong, gongchen, gukecai, guohongzilong, guozhijian, gziyan, h.farahat, hesham, huangdongrun, huanghui, jiangzhiwen, jinyaohui, jjfeing, jojobugfree, jonathan_yan, jonyguo, jzw, kingfo, kisnwang, laiyongqiang, leonwanghui, lianliguang, lichen, lichenever, limingqi107, liubuyu, liuxiao, liyong, liyong126, lizhenyu, lupengcheng, lvliang, maoweiyong, ms_yan, mxm, ougongchang, panfengfeng, panyifeng, pengyanjun, penn, qianlong, seatea, simson, suteng, thlinh, vlne-v1, wangchengke, wanghua, wangnan39, wangqiuliang, wenchunjiang, wenkai, wukesong, xiefangqi, xulei, yanghaitao, yanghaoran, yangjie159, yangzhenzhang, yankai10, yanzhenxiang2020, yao_yf, yoonlee666, zhangbuxue, zhangz0911gm, zhangzheng, zhaojichen, zhaoting, zhaozhenlong, zhongligeng, zhoufeng, zhousiyi, zjun, zyli2020, yuhuijun, limingqi107, lizhenyu, chenweifeng.
Contributions of any kind are welcome!
# Release 0.1.0-alpha
## Main Features
......
......@@ -14,27 +14,27 @@
@rem ============================================================================
@echo off
@title mindspore_build
SET BASEPATH=%CD%
IF NOT EXIST %BASEPATH%/build (
md "build"
)
cd %BASEPATH%/build
SET BUILD_PATH=%CD%
IF NOT EXIST %BUILD_PATH%/mindspore (
md "mindspore"
)
cd %CD%/mindspore
cmake -DCMAKE_BUILD_TYPE=Release -DENABLE_CPU=ON -DENABLE_MINDDATA=ON -DUSE_GLOG=ON -G "CodeBlocks - MinGW Makefiles" ../..
IF NOT %errorlevel% == 0 (
echo "cmake fail."
goto run_fail
)
IF "%1%" == "" (
cmake --build . --target package -- -j6
) ELSE (
......
......@@ -433,9 +433,9 @@ build_predict()
cd "${BASEPATH}/predict/output/"
if [[ "$PREDICT_PLATFORM" == "x86_64" ]]; then
tar -cf MSPredict-0.1.0-linux_x86_64.tar.gz include/ lib/ --warning=no-file-changed
tar -cf MSPredict-0.2.0-linux_x86_64.tar.gz include/ lib/ --warning=no-file-changed
elif [[ "$PREDICT_PLATFORM" == "arm64" ]]; then
tar -cf MSPredict-0.1.0-linux_aarch64.tar.gz include/ lib/ --warning=no-file-changed
tar -cf MSPredict-0.2.0-linux_aarch64.tar.gz include/ lib/ --warning=no-file-changed
fi
echo "success to build predict project!"
}
......
......@@ -4,14 +4,13 @@ This folder hosts all the `Dockerfile` to build MindSpore container images with
### MindSpore docker build command
* CPU
| Hardware Platform | Version | Build Command |
| :---------------- | :------ | :------------ |
| CPU | `x.y.z` | cd mindspore-cpu/x.y.z && docker build . -t mindspore/mindspore-cpu:x.y.z |
| | `devel` | cd mindspore-cpu/devel && docker build . -t mindspore/mindspore-cpu:devel |
| | `runtime` | cd mindspore-cpu/runtime && docker build . -t mindspore/mindspore-cpu:runtime |
| GPU | `x.y.z` | cd mindspore-gpu/x.y.z && docker build . -t mindspore/mindspore-gpu:x.y.z |
| | `devel` | cd mindspore-gpu/devel && docker build . -t mindspore/mindspore-gpu:devel |
| | `runtime` | cd mindspore-gpu/runtime && docker build . -t mindspore/mindspore-gpu:runtime |
```
cd mindspore-cpu/0.1.0-alpha && docker build . -t mindspore/mindspore-cpu:0.1.0-alpha
```
* GPU
```
cd mindspore-gpu/0.1.0-alpha && docker build . -t mindspore/mindspore-gpu:0.1.0-alpha
```
> **NOTICE:** The `x.y.z` version shown above should be replaced with the real version number.
FROM ubuntu:18.04
MAINTAINER leonwanghui <leon.wanghui@huawei.com>
# Set env
ENV PYTHON_ROOT_PATH /usr/local/python-3.7.5
ENV PATH /usr/local/bin:$PATH
# Install base tools
RUN apt update \
&& DEBIAN_FRONTEND=noninteractive apt install -y \
vim \
wget \
curl \
xz-utils \
net-tools \
openssh-client \
git \
ntpdate \
tzdata \
tcl \
sudo \
bash-completion
# Install compile tools
RUN DEBIAN_FRONTEND=noninteractive apt install -y \
gcc \
g++ \
zlibc \
make \
libgmp-dev \
patch \
autoconf \
libtool \
automake \
flex
# Set bash
RUN echo "dash dash/sh boolean false" | debconf-set-selections
RUN DEBIAN_FRONTEND=noninteractive dpkg-reconfigure dash
# Install python (v3.7.5)
RUN apt install -y libffi-dev libssl-dev zlib1g-dev libbz2-dev libncurses5-dev \
libgdbm-dev libgdbm-compat-dev liblzma-dev libreadline-dev libsqlite3-dev \
&& cd /tmp \
&& wget https://github.com/python/cpython/archive/v3.7.5.tar.gz \
&& tar -xvf v3.7.5.tar.gz \
&& cd /tmp/cpython-3.7.5 \
&& mkdir -p ${PYTHON_ROOT_PATH} \
&& ./configure --prefix=${PYTHON_ROOT_PATH} \
&& make -j4 \
&& make install -j4 \
&& rm -f /usr/local/bin/python \
&& rm -f /usr/local/bin/pip \
&& ln -s ${PYTHON_ROOT_PATH}/bin/python3.7 /usr/local/bin/python \
&& ln -s ${PYTHON_ROOT_PATH}/bin/pip3.7 /usr/local/bin/pip \
&& rm -rf /tmp/cpython-3.7.5 \
&& rm -f /tmp/v3.7.5.tar.gz
# Set pip source
RUN mkdir -pv /root/.pip \
&& echo "[global]" > /root/.pip/pip.conf \
&& echo "trusted-host=mirrors.aliyun.com" >> /root/.pip/pip.conf \
&& echo "index-url=http://mirrors.aliyun.com/pypi/simple/" >> /root/.pip/pip.conf
# Install MindSpore cpu whl package
RUN pip install --no-cache-dir https://ms-release.obs.cn-north-4.myhuaweicloud.com/0.2.0-alpha/MindSpore/cpu/ubuntu-x86/mindspore-0.2.0-cp37-cp37m-linux_x86_64.whl
FROM nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
MAINTAINER leonwanghui <leon.wanghui@huawei.com>
# Set env
ENV PYTHON_ROOT_PATH /usr/local/python-3.7.5
ENV OMPI_ROOT_PATH /usr/local/openmpi-3.1.5
ENV PATH ${OMPI_ROOT_PATH}/bin:/usr/local/bin:$PATH
ENV LD_LIBRARY_PATH ${OMPI_ROOT_PATH}/lib:$LD_LIBRARY_PATH
# Install base tools
RUN apt update \
&& DEBIAN_FRONTEND=noninteractive apt install -y \
vim \
wget \
curl \
xz-utils \
net-tools \
openssh-client \
git \
ntpdate \
tzdata \
tcl \
sudo \
bash-completion
# Install compile tools
RUN DEBIAN_FRONTEND=noninteractive apt install -y \
gcc \
g++ \
zlibc \
make \
libgmp-dev \
patch \
autoconf \
libtool \
automake \
flex \
libnccl2=2.4.8-1+cuda10.1 \
libnccl-dev=2.4.8-1+cuda10.1
# Set bash
RUN echo "dash dash/sh boolean false" | debconf-set-selections
RUN DEBIAN_FRONTEND=noninteractive dpkg-reconfigure dash
# Install python (v3.7.5)
RUN apt install -y libffi-dev libssl-dev zlib1g-dev libbz2-dev libncurses5-dev \
libgdbm-dev libgdbm-compat-dev liblzma-dev libreadline-dev libsqlite3-dev \
&& cd /tmp \
&& wget https://github.com/python/cpython/archive/v3.7.5.tar.gz \
&& tar -xvf v3.7.5.tar.gz \
&& cd /tmp/cpython-3.7.5 \
&& mkdir -p ${PYTHON_ROOT_PATH} \
&& ./configure --prefix=${PYTHON_ROOT_PATH} \
&& make -j4 \
&& make install -j4 \
&& rm -f /usr/local/bin/python \
&& rm -f /usr/local/bin/pip \
&& ln -s ${PYTHON_ROOT_PATH}/bin/python3.7 /usr/local/bin/python \
&& ln -s ${PYTHON_ROOT_PATH}/bin/pip3.7 /usr/local/bin/pip \
&& rm -rf /tmp/cpython-3.7.5 \
&& rm -f /tmp/v3.7.5.tar.gz
# Set pip source
RUN mkdir -pv /root/.pip \
&& echo "[global]" > /root/.pip/pip.conf \
&& echo "trusted-host=mirrors.aliyun.com" >> /root/.pip/pip.conf \
&& echo "index-url=http://mirrors.aliyun.com/pypi/simple/" >> /root/.pip/pip.conf
# Install openmpi (v3.1.5)
RUN cd /tmp \
&& wget https://download.open-mpi.org/release/open-mpi/v3.1/openmpi-3.1.5.tar.gz \
&& tar -xvf openmpi-3.1.5.tar.gz \
&& cd /tmp/openmpi-3.1.5 \
&& mkdir -p ${OMPI_ROOT_PATH} \
&& ./configure --prefix=${OMPI_ROOT_PATH} \
&& make -j4 \
&& make install -j4 \
&& rm -rf /tmp/openmpi-3.1.5 \
&& rm -f /tmp/openmpi-3.1.5.tar.gz
# Install MindSpore cuda-10.1 whl package
RUN pip install --no-cache-dir https://ms-release.obs.cn-north-4.myhuaweicloud.com/0.2.0-alpha/MindSpore/gpu/cuda-10.1/mindspore-0.2.0-cp37-cp37m-linux_x86_64.whl
......@@ -23,7 +23,7 @@ from setuptools import setup, find_packages
from setuptools.command.egg_info import egg_info
from setuptools.command.build_py import build_py
version = '0.1.0'
version = '0.2.0'
backend_policy = os.getenv('BACKEND_POLICY')
commit_id = os.getenv('COMMIT_ID').replace("\n", "")
......
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