[Python知识库]【四种环境安装】深度学习中GPU、CPU版本的tensorflow以及pytorch的安装

建立一个tensorflow
activate

conda create -n xxxx python=3.7  
# 这里的xxxx代表你需要命名的环境当中的名字例如我将GPU版本的pytorch命名为py37、cpu版本的pytorch命名为py371等

exit()  #为退出指令

GPU版本Pytorch
done
#
# To activate this environment, use
#
#     $ conda activate py37
#
# To deactivate an active environment, use
#
#     $ conda deactivate

CPU版本Pytorch
done
#
# To activate this environment, use
#
#     $ conda activate py371
#
# To deactivate an active environment, use
#
#     $ conda deactivate

GPU版本Tensorflow
done
#
# To activate this environment, use
#
#     $ conda activate tf2
#
# To deactivate an active environment, use
#
#     $ conda deactivate

CPU版本的Tensorflow
done
#
# To activate this environment, use
#
#     $ conda activate tf1
#
# To deactivate an active environment, use
#
#     $ conda deactivateh

环境安装完毕后 右下角即为上面所对应的四种环境 需要通过解释器手动添加的方式将环境导入

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