update mindspore installation

Author: hanjr92

docs/user/installation.rst

@@ -32,11 +32,11 @@ TensorLayerX supports multiple deep learning backends, default TensorFlow as bac
 The installation instructions of TensorFlow are written to be very detailed on `TensorFlow`_  website.
 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.
 
-If you want to use mindspore backend, you should install mindspore==1.2.1.
+If you want to use mindspore backend, you should install mindspore==1.6.1.
 
 .. code-block:: bash
 
-  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
+   pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.6.1/MindSpore/gpu/x86_64/cuda-10.1/mindspore_gpu-1.6.1-cp37-cp37m-linux_x86_64.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple
 
 
 If you want to use paddlepaddle backend, you should install paddlepaddle>=2.1.1
@@ -129,9 +129,9 @@ However, if you want to modify or extend TensorLayer 1.X, you can download the r
   cd to the root of the git tree
   pip3 install -e .
 
-This command will run the ``setup.py`` to install TensorLayer3. The ``-e`` reflects
+This command will run the ``setup.py`` to install TensorLayerX. The ``-e`` reflects
 editable, then you can edit the source code in ``tensorlayer`` folder, and ``import`` the edited
-TensorLayer3.
+TensorLayerX.
 
 
 GPU support