首页
产品
解决方案
开发者
合作伙伴
高校
昇腾AI市场
产业资讯
支持与服务
文档HOT
下载
中文
注册
文档首页
我要评分
文档获取效率
文档正确性
内容完整性
文档易理解
提交
在线提单
论坛求助
昇腾小AI

快速安装

获取安装命令

表1 快速安装详细信息

PyTorch版本

torch_npu插件版本

Python版本

系统架构

CANN版本

安装方式

安装命令

1.11.0

6.0.rc2

Python 3.7和Python 3.7m

AArch64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/torch-1.11.0-cp37-cp37m-manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch1.11.0/torch_npu-1.11.0.post14-cp37-cp37m-linux_aarch64.whl
# 安装命令
pip3 install torch-1.11.0-cp37-cp37m-manylinux2014_aarch64.whl
pip3 install torch_npu-1.11.0.post14-cp37-cp37m-linux_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.7和Python 3.7m

AArch64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/torch-1.11.0-cp37-cp37m-manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch1.11.0/torch_npu-1.11.0.post11-cp37-cp37m-linux_aarch64.whl
# 安装命令
pip3 install torch-1.11.0-cp37-cp37m-manylinux2014_aarch64.whl
pip3 install torch_npu-1.11.0.post11-cp37-cp37m-linux_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.7和Python 3.7m

AArch64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/torch-1.11.0-cp37-cp37m-manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch1.11.0/torch_npu-1.11.0.post8-cp37-cp37m-linux_aarch64.whl
# 安装命令
pip3 install torch-1.11.0-cp37-cp37m-manylinux2014_aarch64.whl
pip3 install torch_npu-1.11.0.post8-cp37-cp37m-linux_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.7和Python 3.7m

X86_64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-1.11.0%2Bcpu-cp37-cp37m-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch1.11.0/torch_npu-1.11.0.post14-cp37-cp37m-linux_x86_64.whl
# 安装命令
pip3 install torch-1.11.0+cpu-cp37-cp37m-linux_x86_64.whl
pip3 install torch_npu-1.11.0.post14-cp37-cp37m-linux_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.7和Python 3.7m

X86_64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-1.11.0%2Bcpu-cp37-cp37m-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch1.11.0/torch_npu-1.11.0.post11-cp37-cp37m-linux_x86_64.whl
# 安装命令
pip3 install torch-1.11.0+cpu-cp37-cp37m-linux_x86_64.whl
pip3 install torch_npu-1.11.0.post11-cp37-cp37m-linux_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.7和Python 3.7m

X86_64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-1.11.0%2Bcpu-cp37-cp37m-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch1.11.0/torch_npu-1.11.0.post8-cp37-cp37m-linux_x86_64.whl
# 安装命令
pip3 install torch-1.11.0+cpu-cp37-cp37m-linux_x86_64.whl
pip3 install torch_npu-1.11.0.post8-cp37-cp37m-linux_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.8

AArch64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/torch-1.11.0-cp38-cp38-manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch1.11.0/torch_npu-1.11.0.post14-cp38-cp38-linux_aarch64.whl
# 安装命令
pip3 install torch-1.11.0-cp38-cp38-manylinux2014_aarch64.whl
pip3 install torch_npu-1.11.0.post14-cp38-cp38-linux_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.8

AArch64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/torch-1.11.0-cp38-cp38-manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch1.11.0/torch_npu-1.11.0.post11-cp38-cp38-linux_aarch64.whl
# 安装命令
pip3 install torch-1.11.0-cp38-cp38-manylinux2014_aarch64.whl
pip3 install torch_npu-1.11.0.post11-cp38-cp38-linux_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.8

AArch64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/torch-1.11.0-cp38-cp38-manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch1.11.0/torch_npu-1.11.0.post8-cp38-cp38-linux_aarch64.whl
# 安装命令
pip3 install torch-1.11.0-cp38-cp38-manylinux2014_aarch64.whl
pip3 install torch_npu-1.11.0.post8-cp38-cp38-linux_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.8

X86_64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-1.11.0%2Bcpu-cp38-cp38-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch1.11.0/torch_npu-1.11.0.post14-cp38-cp38-linux_x86_64.whl
# 安装命令
pip3 install torch-1.11.0+cpu-cp38-cp38-linux_x86_64.whl
pip3 install torch_npu-1.11.0.post14-cp38-cp38-linux_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.8

X86_64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-1.11.0%2Bcpu-cp38-cp38-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch1.11.0/torch_npu-1.11.0.post11-cp38-cp38-linux_x86_64.whl
# 安装命令
pip3 install torch-1.11.0+cpu-cp38-cp38-linux_x86_64.whl
pip3 install torch_npu-1.11.0.post11-cp38-cp38-linux_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.8

X86_64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-1.11.0%2Bcpu-cp38-cp38-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch1.11.0/torch_npu-1.11.0.post8-cp38-cp38-linux_x86_64.whl
# 安装命令
pip3 install torch-1.11.0+cpu-cp38-cp38-linux_x86_64.whl
pip3 install torch_npu-1.11.0.post8-cp38-cp38-linux_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.9

AArch64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/torch-1.11.0-cp39-cp39-manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch1.11.0/torch_npu-1.11.0.post14-cp39-cp39-linux_aarch64.whl
# 安装命令
pip3 install torch-1.11.0-cp39-cp39-manylinux2014_aarch64.whl
pip3 install torch_npu-1.11.0.post14-cp39-cp39-linux_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.9

AArch64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/torch-1.11.0-cp39-cp39-manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch1.11.0/torch_npu-1.11.0.post11-cp39-cp39-linux_aarch64.whl
# 安装命令
pip3 install torch-1.11.0-cp39-cp39-manylinux2014_aarch64.whl
pip3 install torch_npu-1.11.0.post11-cp39-cp39-linux_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.9

AArch64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/torch-1.11.0-cp39-cp39-manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch1.11.0/torch_npu-1.11.0.post8-cp39-cp39-linux_aarch64.whl
# 安装命令
pip3 install torch-1.11.0-cp39-cp39-manylinux2014_aarch64.whl
pip3 install torch_npu-1.11.0.post8-cp39-cp39-linux_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.9

X86_64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-1.11.0%2Bcpu-cp39-cp39-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch1.11.0/torch_npu-1.11.0.post14-cp39-cp39-linux_x86_64.whl
# 安装命令
pip3 install torch-1.11.0+cpu-cp39-cp39-linux_x86_64.whl
pip3 install torch_npu-1.11.0.post14-cp39-cp39-linux_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.9

X86_64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-1.11.0%2Bcpu-cp39-cp39-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch1.11.0/torch_npu-1.11.0.post11-cp39-cp39-linux_x86_64.whl
# 安装命令
pip3 install torch-1.11.0+cpu-cp39-cp39-linux_x86_64.whl
pip3 install torch_npu-1.11.0.post11-cp39-cp39-linux_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.9

X86_64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-1.11.0%2Bcpu-cp39-cp39-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch1.11.0/torch_npu-1.11.0.post8-cp39-cp39-linux_x86_64.whl
# 安装命令
pip3 install torch-1.11.0+cpu-cp39-cp39-linux_x86_64.whl
pip3 install torch_npu-1.11.0.post8-cp39-cp39-linux_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.10

AArch64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/torch-1.11.0-cp310-cp310-manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch1.11.0/torch_npu-1.11.0.post14-cp310-cp310-linux_aarch64.whl
# 安装命令
pip3 install torch-1.11.0-cp310-cp310-manylinux2014_aarch64.whl
pip3 install torch_npu-1.11.0.post14-cp310-cp310-linux_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.10

AArch64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/torch-1.11.0-cp310-cp310-manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch1.11.0/torch_npu-1.11.0.post11-cp310-cp310-linux_aarch64.whl
# 安装命令
pip3 install torch-1.11.0-cp310-cp310-manylinux2014_aarch64.whl
pip3 install torch_npu-1.11.0.post11-cp310-cp310-linux_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.10

AArch64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/torch-1.11.0-cp310-cp310-manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch1.11.0/torch_npu-1.11.0.post8-cp310-cp310-linux_aarch64.whl
# 安装命令
pip3 install torch-1.11.0-cp310-cp310-manylinux2014_aarch64.whl
pip3 install torch_npu-1.11.0.post8-cp310-cp310-linux_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.10

X86_64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-1.11.0%2Bcpu-cp310-cp310-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch1.11.0/torch_npu-1.11.0.post14-cp310-cp310-linux_x86_64.whl
# 安装命令
pip3 install torch-1.11.0+cpu-cp310-cp310-linux_x86_64.whl
pip3 install torch_npu-1.11.0.post14-cp310-cp310-linux_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.10

X86_64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-1.11.0%2Bcpu-cp310-cp310-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch1.11.0/torch_npu-1.11.0.post11-cp310-cp310-linux_x86_64.whl
# 安装命令
pip3 install torch-1.11.0+cpu-cp310-cp310-linux_x86_64.whl
pip3 install torch_npu-1.11.0.post11-cp310-cp310-linux_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.10

X86_64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-1.11.0%2Bcpu-cp310-cp310-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch1.11.0/torch_npu-1.11.0.post8-cp310-cp310-linux_x86_64.whl
# 安装命令
pip3 install torch-1.11.0+cpu-cp310-cp310-linux_x86_64.whl
pip3 install torch_npu-1.11.0.post8-cp310-cp310-linux_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

2.0.1

5.0.0

Python 3.8

AArch64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/torch-2.0.1-cp38-cp38-manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch2.0.1/torch_npu-2.0.1.post1-cp38-cp38-linux_aarch64.whl
# 安装命令
pip3 install torch-2.0.1-cp38-cp38-manylinux2014_aarch64.whl
pip3 install torch_npu-2.0.1.post1-cp38-cp38-linux_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.9

AArch64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/torch-2.0.1-cp39-cp39-manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch2.0.1/torch_npu-2.0.1.post1-cp39-cp39-linux_aarch64.whl
# 安装命令
pip3 install torch-2.0.1-cp39-cp39-manylinux2014_aarch64.whl
pip3 install torch_npu-2.0.1.post1-cp39-cp39-linux_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.10

AArch64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/torch-2.0.1-cp310-cp310-manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch2.0.1/torch_npu-2.0.1.post1-cp310-cp310-linux_aarch64.whl
# 安装命令
pip3 install torch-2.0.1-cp310-cp310-manylinux2014_aarch64.whl
pip3 install torch_npu-2.0.1.post1-cp310-cp310-linux_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.8

X86_64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.0.1%2Bcpu-cp38-cp38-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch2.0.1/torch_npu-2.0.1.post1-cp38-cp38-linux_x86_64.whl
# 安装命令
pip3 install torch-2.0.1+cpu-cp38-cp38-linux_x86_64.whl
pip3 install torch_npu-2.0.1.post1-cp38-cp38-linux_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.9

X86_64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.0.1%2Bcpu-cp39-cp39-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch2.0.1/torch_npu-2.0.1.post1-cp39-cp39-linux_x86_64.whl
# 安装命令
pip3 install torch-2.0.1+cpu-cp39-cp39-linux_x86_64.whl
pip3 install torch_npu-2.0.1.post1-cp39-cp39-linux_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.10

X86_64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.0.1%2Bcpu-cp310-cp310-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch2.0.1/torch_npu-2.0.1.post1-cp310-cp310-linux_x86_64.whl
# 安装命令
pip3 install torch-2.0.1+cpu-cp310-cp310-linux_x86_64.whl
pip3 install torch_npu-2.0.1.post1-cp310-cp310-linux_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

2.1.0

6.0.rc2

Python 3.8

AArch64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.1.0/torch_npu-2.1.0.post6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.1.0.post6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.8

AArch64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch2.1.0/torch_npu-2.1.0.post3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.1.0.post3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.8

AArch64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch2.1.0/torch_npu-2.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.8

X86_64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0%2Bcpu-cp38-cp38-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.1.0/torch_npu-2.1.0.post6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.1.0+cpu-cp38-cp38-linux_x86_64.whl 
pip3 install torch_npu-2.1.0.post6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.8

X86_64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0%2Bcpu-cp38-cp38-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch2.1.0/torch_npu-2.1.0.post3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.1.0+cpu-cp38-cp38-linux_x86_64.whl 
pip3 install torch_npu-2.1.0.post3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.8

X86_64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0%2Bcpu-cp38-cp38-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch2.1.0/torch_npu-2.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.1.0+cpu-cp38-cp38-linux_x86_64.whl 
pip3 install torch_npu-2.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.9

AArch64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.1.0/torch_npu-2.1.0.post6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.1.0.post6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.9

AArch64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch2.1.0/torch_npu-2.1.0.post3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.1.0.post3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.9

AArch64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch2.1.0/torch_npu-2.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 torch_npu-2.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.9

X86_64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0%2Bcpu-cp39-cp39-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.1.0/torch_npu-2.1.0.post6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.1.0+cpu-cp39-cp39-linux_x86_64.whl
pip3 install torch_npu-2.1.0.post6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.9

X86_64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0%2Bcpu-cp39-cp39-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch2.1.0/torch_npu-2.1.0.post3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.1.0+cpu-cp39-cp39-linux_x86_64.whl
pip3 install torch_npu-2.1.0.post3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.9

X86_64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0%2Bcpu-cp39-cp39-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch2.1.0/torch_npu-2.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.1.0+cpu-cp39-cp39-linux_x86_64.whl
pip3 install torch_npu-2.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.10

AArch64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.1.0/torch_npu-2.1.0.post6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.1.0.post6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.10

AArch64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch2.1.0/torch_npu-2.1.0.post3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.1.0.post3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.10

AArch64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch2.1.0/torch_npu-2.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.10

X86_64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0%2Bcpu-cp310-cp310-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.1.0/torch_npu-2.1.0.post6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.1.0+cpu-cp310-cp310-linux_x86_64.whl
pip3 install torch_npu-2.1.0.post6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.10

X86_64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0%2Bcpu-cp310-cp310-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch2.1.0/torch_npu-2.1.0.post3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.1.0+cpu-cp310-cp310-linux_x86_64.whl
pip3 install torch_npu-2.1.0.post3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

5.0.0

Python 3.10

X86_64

7.0.0

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.1.0%2Bcpu-cp310-cp310-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v5.0.0-pytorch2.1.0/torch_npu-2.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.1.0+cpu-cp310-cp310-linux_x86_64.whl
pip3 install torch_npu-2.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

2.2.0

6.0.rc2

Python 3.8

AArch64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.2.0/torch_npu-2.2.0.post2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.2.0.post2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.8

X86_64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.2.0%2Bcpu-cp38-cp38-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.2.0/torch_npu-2.2.0.post2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.2.0+cpu-cp38-cp38-linux_x86_64.whl
pip3 install torch_npu-2.2.0.post2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.9

AArch64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.2.0/torch_npu-2.2.0.post2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.2.0.post2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.9

X86_64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.2.0%2Bcpu-cp39-cp39-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.2.0/torch_npu-2.2.0.post2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.2.0+cpu-cp39-cp39-linux_x86_64.whl
pip3 install torch_npu-2.2.0.post2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.10

AArch64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.2.0/torch_npu-2.2.0.post2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.2.0.post2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.10

X86_64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.2.0%2Bcpu-cp310-cp310-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.2.0/torch_npu-2.2.0.post2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.2.0+cpu-cp310-cp310-linux_x86_64.whl
pip3 install torch_npu-2.2.0.post2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.8

AArch64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch2.2.0/torch_npu-2.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.8

X86_64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.2.0%2Bcpu-cp38-cp38-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch2.2.0/torch_npu-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.2.0+cpu-cp38-cp38-linux_x86_64.whl
pip3 install torch_npu-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.9

AArch64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch2.2.0/torch_npu-2.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.9

X86_64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.2.0%2Bcpu-cp39-cp39-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch2.2.0/torch_npu-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.2.0+cpu-cp39-cp39-linux_x86_64.whl
pip3 install torch_npu-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.10

AArch64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch2.2.0/torch_npu-2.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc1

Python 3.10

X86_64

8.0.RC1

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.2.0%2Bcpu-cp310-cp310-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc1-pytorch2.2.0/torch_npu-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.2.0+cpu-cp310-cp310-linux_x86_64.whl
pip3 install torch_npu-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

2.3.1

6.0.rc2

Python 3.8

AArch64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.3.1/torch_npu-2.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.8

X86_64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.3.1%2Bcpu-cp38-cp38-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.3.1/torch_npu-2.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.3.1+cpu-cp38-cp38-linux_x86_64.whl
pip3 install torch_npu-2.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.9

AArch64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.3.1/torch_npu-2.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.9

X86_64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.3.1%2Bcpu-cp39-cp39-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.3.1/torch_npu-2.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.3.1+cpu-cp39-cp39-linux_x86_64.whl
pip3 install torch_npu-2.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.10

AArch64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.3.1/torch_npu-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
# 安装命令
pip3 install torch-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
pip3 install torch_npu-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。

6.0.rc2

Python 3.10

X86_64

8.0.RC2

Pip

 
# 下载PyTorch安装包
wget https://download.pytorch.org/whl/cpu/torch-2.3.1%2Bcpu-cp310-cp310-linux_x86_64.whl
# 下载torch_npu插件包
wget https://gitee.com/ascend/pytorch/releases/download/v6.0.rc2-pytorch2.3.1/torch_npu-2.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
# 安装命令
pip3 install torch-2.3.1+cpu-cp310-cp310-linux_x86_64.whl
pip3 install torch_npu-2.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

# 根据“安装前必读”完成环境变量配置

Source

# 具体步骤请参考下方“源码编译安装”。
  • 如果下载whl包时出现ERROR: cannot verify gitee.com's certificate报错，可在下载命令后加上--no-check-certificate参数避免此问题。样例代码如下所示。
    wget https://gitee.com/ascend/pytorch/releases/download/插件包 --no-check-certificate
  • 执行如下命令，若返回True则说明安装成功。
    python3 -c "import torch;import torch_npu;print(torch_npu.npu.is_available())"
  • 若Pytorch版本为2.1.0，出现“找不到google或者protobuf或者protobuf版本过高”报错时，需执行如下命令：
    pip install protobuf==3.20

源码编译安装

  • 源码编译安装PyTorch框架

    具体步骤请参考PyTorch官网。

  • 源码编译安装torch_npu插件

    编译安装适用于进行算子适配开发、CANN版本与PyTorch兼容适配场景下。以下操作步骤以安装PyTorch 2.1.0版本为例。

    • 方式一（推荐）：容器场景
      1. 下载torch_npu源码。
        git clone https://gitee.com/ascend/pytorch.git -b v2.1.0-6.0.rc2 --depth 1

        下载对应PyTorch版本分支代码，进入插件根目录，以v2.1.0-6.0.rc2为例，其他版本请参考《版本说明》中的“版本配套关系”章节下载对应PyTorch版本分支代码。

      2. 构建镜像。
        cd pytorch/ci/docker/{arch} 
docker build -t manylinux-builder:v1 .

        {arch}表示CPU架构（X86或ARM）。

      3. 进入Docker容器，并将torch_npu源代码挂载至容器内。
        docker run -it -v /{code_path}/pytorch:/home/pytorch manylinux-builder:v1 bash

        {code_path}表示torch_npu源代码路径，请根据实际情况进行替换。

      4. 编译生成二进制安装包。
        cd /home/pytorch
bash ci/build.sh --python=3.8

        指定Python版本编包方式，以Python3.8为例，其他Python版本请使用 --python=3.9或--python3.10。

      5. 在运行环境中安装生成的插件torch_npu包，如果使用非root用户安装，需要在命令后加--user。
        # 请用户根据实际情况更改命令中的torch_npu包名
pip3 install --upgrade dist/torch_npu-2.1.0.post6-cp38-cp38-linux_aarch64.whl
    • 方式二：物理机及虚拟机场景

      1. 安装依赖。

        选择编译安装方式安装时需要安装系统依赖。目前支持CentOS与Ubuntu操作系统。

        • CentOS
          yum install -y patch libjpeg-turbo-devel dos2unix openblas git 
yum install -y gcc==9.4.0 cmake==3.18.0
        • Ubuntu
          apt-get install -y patch build-essential libbz2-dev libreadline-dev wget curl llvm libncurses5-dev libncursesw5-dev xz-utils tk-dev liblzma-dev m4 dos2unix libopenblas-dev git 
apt-get install -y gcc==9.4.0 cmake==3.18.0

        gcc9.4.0版本及以上，安装2.x及以上版本PyTorch，则cmake需为3.18.0版本及以上；若安装1.11.0版本PyTorch，则cmake只需为3.12.0版本及以上。

      2. 编译生成torch_npu插件的二进制安装包。
        1. 下载对应PyTorch版本分支代码，进入插件根目录，以v2.1.0-6.0.rc2为例，其他版本请参考《版本说明》中的“版本配套关系”章节下载对应PyTorch版本分支代码。
          git clone -b v2.1.0-6.0.rc2 https://gitee.com/ascend/pytorch.git 
cd pytorch
        2. （可选）如果不需要切换OpPlugin（CANN）的版本，请跳过此步骤；如需切换OpPlugin版本，如切换OpPlugin的master分支最新代码，则进行以下操作进行切换。
          同步submodule，将OpPlugin等三方库同步到本地。 
          git submodule init && git submodule update
cd third_party/op-plugin/
# 拉取特定版本的代码并切换到该版本，此处以master为例
git fetch origin master && git checkout master 
cd ../../
        3. 编译生成二进制安装包。
          # 指定Python版本编包方式，以Python3.8为例，其他Python版本请使用 --python=3.9或--python3.10
bash ci/build.sh --python=3.8
      3. 安装pytorch/dist目录下生成的插件torch_npu包，如果使用非root用户安装，需要在命令后加--user。
        # 请用户根据实际情况更改命令中的torch_npu包名
pip3 install --upgrade dist/torch_npu-2.1.0.post6-cp38-cp38-linux_aarch64.whl

验证是否成功安装

验证是否安装成功，可执行如下命令： 
python3 -c "import torch;import torch_npu; a = torch.randn(3, 4).npu(); print(a + a);"

显示如下类似信息证明PyTorch框架与插件安装成功。

tensor([[-0.6066,  6.3385,  0.0379,  3.3356],
        [ 2.9243,  3.3134, -1.5465,  0.1916],
        [-2.1807,  0.2008, -1.1431,  2.1523]], device='npu:0')
搜索结果
找到“0”个结果

当前产品无相关内容

未找到相关内容，请尝试其他搜索词