Bump the version number to 0.2.0-alpha

2020-04-27 11:24:13 +08:00 · 2020-04-27 11:24:13 +08:00 · 3562625474
parent ef71ae941f
commit 3562625474
8 changed files with 257 additions and 33 deletions
--- a/README.md
+++ b/README.md
@ -1,7 +1,7 @@
 ![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
--- a/RELEASE.md
+++ b/RELEASE.md
@ -1,3 +1,75 @@
+# 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
--- a/build.bat
+++ b/build.bat
@ -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 (
--- a/build.sh
+++ b/build.sh
@ -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!"
 }
--- a/docker/README.md
+++ b/docker/README.md
@ -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.
--- a/docker/mindspore-cpu/0.2.0-alpha/Dockerfile
+++ b/docker/mindspore-cpu/0.2.0-alpha/Dockerfile
@ -0,0 +1,67 @@
+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
--- a/docker/mindspore-gpu/0.2.0-alpha/Dockerfile
+++ b/docker/mindspore-gpu/0.2.0-alpha/Dockerfile
@ -0,0 +1,83 @@
+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
--- a/setup.py
+++ b/setup.py
@ -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", "")