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update docs
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README.md

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@@ -99,12 +99,12 @@ pip3 install --upgrade tensorlayer[all] # all additional dependenci
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pip3 install --upgrade tensorlayer[extra] # only the `extra` dependencies
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pip3 install --upgrade tensorlayer[contrib_loggers] # only the `contrib_loggers` dependencies
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```
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If you want to use mindspore backend, you should install mindspore>=1.2.0
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If you want to use mindspore backend, you should install mindspore>=1.2.1
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```bash
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pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.2.1/MindSpore/gpu/ubuntu_x86/cuda-10.1/mindspore_gpu-1.2.1-cp37-cp37m-linux_x86_64.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple
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```
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If you want to use paddlepaddle backend, you should install paddlepaddle>=2.0
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If you want to use paddlepaddle backend, you should install paddlepaddle>=2.1.1
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```bash
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python -m pip install paddlepaddle -i https://mirror.baidu.com/pypi/simple
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```

docs/user/installation.rst

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@@ -29,14 +29,14 @@ TensorLayer supports multiple deep learning backends, default TensorFlow as back
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The installation instructions of TensorFlow are written to be very detailed on `TensorFlow`_ website.
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However, there are something need to be considered. For example, `TensorFlow`_ officially supports GPU acceleration for Linux, Mac OX and Windows at present. For ARM processor architecture, you need to install TensorFlow from source.
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If you want to use mindspore backend, you should install mindspore==1.2.0.
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If you want to use mindspore backend, you should install mindspore==1.2.1.
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.. code-block:: bash
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pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.2.1/MindSpore/gpu/ubuntu_x86/cuda-10.1/mindspore_gpu-1.2.1-cp37-cp37m-linux_x86_64.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple
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If you want to use paddlepaddle backend, you should install paddlepaddle==2.0.
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If you want to use paddlepaddle backend, you should install paddlepaddle>=2.1.1
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.. code-block:: bash
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