mindspore

Pip mode method installation

MindSpore offers build options across multiple backends:

Hardware Platform	Operating System	Status
Ascend910	Ubuntu-x86	✔️
	Ubuntu-aarch64	✔️
	EulerOS-aarch64	✔️
	CentOS-x86	✔️
	CentOS-aarch64	✔️
GPU CUDA 10.1	Ubuntu-x86	✔️
CPU	Ubuntu-x86	✔️
	Ubuntu-aarch64	✔️
	Windows-x86	✔️

For installation using pip, take CPU and Ubuntu-x86 build version as an example:

1. Download whl from MindSpore download page, and install the package.

   pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.2.0-rc1/MindSpore/cpu/ubuntu_x86/mindspore-1.2.0rc1-cp37-cp37m-linux_x86_64.whl
   

2. Run the following command to verify the install.

   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))
   

   [ 4. 10. 18.]
   

Use pip mode method to install MindSpore in different environments. Refer to the following documents.

• Using pip mode method to install MindSpore in Ascend environment
• Using pip mode method to install MindSpore in GPU environment
• Using pip mode method to install MindSpore in CPU environment

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Source code compilation installation

Use the source code compilation method to install MindSpore in different environments. Refer to the following documents.

• Using the source code compilation method to install MindSpore in Ascend environment
• Using the source code compilation method to install MindSpore in GPU environment
• Using the source code compilation method to install MindSpore in CPU environment

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Docker Image

MindSpore docker image is hosted on Docker Hub, currently the containerized build options are supported as follows:

Hardware Platform	Docker Image Repository	Tag	Description
CPU	mindspore/mindspore-cpu	x.y.z	Production environment with pre-installed MindSpore x.y.z 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	x.y.z	Production environment with pre-installed MindSpore x.y.z 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 CUDA10.1 backend.

NOTICE: For GPU devel docker image, it's NOT s