提交 1779479d 编写于 作者: L leonwanghui

Fix release package link in README.md

Signed-off-by: Nleonwanghui <wanghui71leon@gmail.com>
上级 37e35827
......@@ -76,13 +76,36 @@ 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/0.2.0-alpha/MindSpore/cpu/ubuntu-x86/mindspore-0.2.0-cp37-cp37m-linux_x86_64.whl
pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/0.2.0-alpha/MindSpore/cpu/x86_ubuntu/mindspore-0.2.0-cp37-cp37m-linux_x86_64.whl
```
2. Run the following command to verify the install.
```python
import numpy as np
import mindspore.context as context
import mindspore.nn as nn
from mindspore import Tensor
from mindspore.ops import operations as P
context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
class Mul(nn.Cell):
def __init__(self):
super(Mul, self).__init__()
self.mul = P.Mul()
def construct(self, x, y):
return self.mul(x, y)
x = Tensor(np.array([1.0, 2.0, 3.0]).astype(np.float32))
y = Tensor(np.array([4.0, 5.0, 6.0]).astype(np.float32))
mul = Mul()
print(mul(x, y))
```
```
python -c 'import mindspore'
[ 4. 10. 18.]
```
### From Source
......@@ -111,7 +134,7 @@ currently the containerized build options are supported as follows:
For `CPU` backend, you can directly pull and run the latest stable image using the below command:
```
docker pull mindspore/mindspore-cpu:0.2.0-alpha
docker run -it mindspore/mindspore-cpu:0.2.0-alpha python -c 'import mindspore'
docker run -it mindspore/mindspore-cpu:0.2.0-alpha /bin/bash
```
* GPU
......@@ -160,7 +183,7 @@ currently the containerized build options are supported as follows:
```
If you want to learn more about the building process of MindSpore docker images,
please check out `docker` folder for the details.
please check out [docker](docker/README.md) repo for the details.
## Quickstart
......
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