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!638 modify r0.2 version number

Merge pull request !638 from wangnan39/r0.2_ver
tags/v0.2.0-alpha
mindspore-ci-bot Gitee 5 years ago
parent
commit
ec1b5ada66
5 changed files with 14 additions and 14 deletions
  1. +9
    -9
      README.md
  2. +1
    -1
      RELEASE.md
  3. +2
    -2
      docker/README.md
  4. +1
    -1
      docker/mindspore-cpu/0.1.0-alpha/Dockerfile
  5. +1
    -1
      docker/mindspore-gpu/0.1.0-alpha/Dockerfile

+ 9
- 9
README.md View File

@@ -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.
@@ -96,10 +96,10 @@ 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` | `0.2.0-alpha` | Production environment with pre-installed MindSpore `0.2.0-alpha` 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` | `0.2.0-alpha` | Production environment with pre-installed MindSpore `0.2.0-alpha` 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. |
| Ascend | <center>&mdash;</center> | <center>&mdash;</center> | Coming soon. |
@@ -108,8 +108,8 @@ currently the containerized build options are supported as follows:

For `CPU` backend, you can directly pull and run the 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
@@ -126,8 +126,8 @@ currently the containerized build options are supported as follows:

Then you can pull and run the 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:
@@ -161,7 +161,7 @@ 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


+ 1
- 1
RELEASE.md View File

@@ -1,4 +1,4 @@
# Release 0.1.0-alpha
# Release 0.2.0-alpha

## Main Features



+ 2
- 2
docker/README.md View File

@@ -7,11 +7,11 @@ This folder hosts all the `Dockerfile` to build MindSpore container images with
* CPU

```
cd mindspore-cpu/0.1.0-alpha && docker build . -t mindspore/mindspore-cpu:0.1.0-alpha
cd mindspore-cpu/0.2.0-alpha && docker build . -t mindspore/mindspore-cpu:0.2.0-alpha
```

* GPU

```
cd mindspore-gpu/0.1.0-alpha && docker build . -t mindspore/mindspore-gpu:0.1.0-alpha
cd mindspore-gpu/0.2.0-alpha && docker build . -t mindspore/mindspore-gpu:0.2.0-alpha
```

+ 1
- 1
docker/mindspore-cpu/0.1.0-alpha/Dockerfile View File

@@ -64,4 +64,4 @@ RUN mkdir -pv /root/.pip \
&& 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/0.1.0-alpha/MindSpore/cpu/ubuntu-x86/mindspore-0.1.0-cp37-cp37m-linux_x86_64.whl
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

+ 1
- 1
docker/mindspore-gpu/0.1.0-alpha/Dockerfile View File

@@ -80,4 +80,4 @@ RUN cd /tmp \
&& 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/0.1.0-alpha/MindSpore/gpu/cuda-10.1/mindspore-0.1.0-cp37-cp37m-linux_x86_64.whl
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

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