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