方式一:二进制软件包安装
通过wheel格式的二进制软件包直接安装PyTorch框架和torch_npu插件。
执行安装命令前,请参见安装前准备完成环境变量配置及其他环境准备。
安装PyTorch框架
PyTorch版本 |
Python版本 |
系统架构 |
CANN版本 |
安装方式 |
安装命令 |
---|---|---|---|---|---|
2.1.0 |
Python 3.8 |
AArch64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-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 |
Python 3.8 |
X86_64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.1.0%2Bcpu-cp38-cp38-linux_x86_64.whl # 安装命令 pip3 install torch-2.1.0+cpu-cp38-cp38-linux_x86_64.whl |
|
Python 3.9 |
AArch64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-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 |
|
Python 3.9 |
X86_64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.1.0%2Bcpu-cp39-cp39-linux_x86_64.whl # 安装命令 pip3 install torch-2.1.0+cpu-cp39-cp39-linux_x86_64.whl |
|
Python 3.10 |
AArch64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-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 |
|
Python 3.10 |
X86_64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.1.0%2Bcpu-cp310-cp310-linux_x86_64.whl # 安装命令 pip3 install torch-2.1.0+cpu-cp310-cp310-linux_x86_64.whl |
|
Python 3.11 |
AArch64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch-2.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
Python 3.11 |
X86_64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.1.0%2Bcpu-cp311-cp311-linux_x86_64.whl # 安装命令 pip3 install torch-2.1.0+cpu-cp311-cp311-linux_x86_64.whl |
|
2.3.1 |
Python 3.8 |
AArch64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-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 |
Python 3.8 |
X86_64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.3.1%2Bcpu-cp38-cp38-linux_x86_64.whl # 安装命令 pip3 install torch-2.3.1+cpu-cp38-cp38-linux_x86_64.whl |
|
Python 3.9 |
AArch64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-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 |
|
Python 3.9 |
X86_64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.3.1%2Bcpu-cp39-cp39-linux_x86_64.whl # 安装命令 pip3 install torch-2.3.1+cpu-cp39-cp39-linux_x86_64.whl |
|
Python 3.10 |
AArch64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-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 |
|
Python 3.10 |
X86_64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.3.1%2Bcpu-cp310-cp310-linux_x86_64.whl # 安装命令 pip3 install torch-2.3.1+cpu-cp310-cp310-linux_x86_64.whl |
|
Python 3.11 |
AArch64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch-2.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
Python 3.11 |
X86_64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.3.1%2Bcpu-cp311-cp311-linux_x86_64.whl # 安装命令 pip3 install torch-2.3.1+cpu-cp311-cp311-linux_x86_64.whl |
|
2.4.0 |
Python 3.8 |
AArch64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch-2.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
Python 3.8 |
X86_64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.4.0%2Bcpu-cp38-cp38-linux_x86_64.whl # 安装命令 pip3 install torch-2.4.0+cpu-cp38-cp38-linux_x86_64.whl |
|
Python 3.9 |
AArch64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch-2.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
Python 3.9 |
X86_64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.4.0%2Bcpu-cp39-cp39-linux_x86_64.whl # 安装命令 pip3 install torch-2.4.0+cpu-cp39-cp39-linux_x86_64.whl |
|
Python 3.10 |
AArch64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch-2.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
Python 3.10 |
X86_64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.4.0%2Bcpu-cp310-cp310-linux_x86_64.whl # 安装命令 pip3 install torch-2.4.0+cpu-cp310-cp310-linux_x86_64.whl |
|
Python 3.11 |
AArch64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch-2.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
Python 3.11 |
X86_64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.4.0%2Bcpu-cp311-cp311-linux_x86_64.whl # 安装命令 pip3 install torch-2.4.0+cpu-cp311-cp311-linux_x86_64.whl |
|
2.5.1 |
Python 3.9 |
AArch64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch-2.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
Python 3.9 |
X86_64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.5.1%2Bcpu-cp39-cp39-linux_x86_64.whl # 安装命令 pip3 install torch-2.5.1+cpu-cp39-cp39-linux_x86_64.whl |
|
Python 3.10 |
AArch64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch-2.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
Python 3.10 |
X86_64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.5.1%2Bcpu-cp310-cp310-linux_x86_64.whl # 安装命令 pip3 install torch-2.5.1+cpu-cp310-cp310-linux_x86_64.whl |
|
Python 3.11 |
AArch64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.5.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch-2.5.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
Python 3.11 |
X86_64 |
8.1.RC1 |
Pip |
# 下载软件包 wget https://download.pytorch.org/whl/cpu/torch-2.5.1%2Bcpu-cp311-cp311-linux_x86_64.whl # 安装命令 pip3 install torch-2.5.1+cpu-cp311-cp311-linux_x86_64.whl |
安装torch_npu插件
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 |
---|---|---|---|---|---|---|
2.1.0 |
7.0.0 |
Python 3.8 |
AArch64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.1.0/torch_npu-2.1.0.post12-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch_npu-2.1.0.post12-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
7.0.0 |
Python 3.8 |
X86_64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.1.0/torch_npu-2.1.0.post12-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # 安装命令 pip3 install torch_npu-2.1.0.post12-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|
7.0.0 |
Python 3.9 |
AArch64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.1.0/torch_npu-2.1.0.post12-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch_npu-2.1.0.post12-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
7.0.0 |
Python 3.9 |
X86_64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.1.0/torch_npu-2.1.0.post12-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # 安装命令 pip3 install torch_npu-2.1.0.post12-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|
7.0.0 |
Python 3.10 |
AArch64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.1.0/torch_npu-2.1.0.post12-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch_npu-2.1.0.post12-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
7.0.0 |
Python 3.10 |
X86_64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.1.0/torch_npu-2.1.0.post12-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # 安装命令 pip3 install torch_npu-2.1.0.post12-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|
7.0.0 |
Python 3.11 |
AArch64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.1.0/torch_npu-2.1.0.post12-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch_npu-2.1.0.post12-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
7.0.0 |
Python 3.11 |
X86_64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.1.0/torch_npu-2.1.0.post12-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # 安装命令 pip3 install torch_npu-2.1.0.post12-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|
2.3.1 |
7.0.0 |
Python 3.8 |
AArch64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.3.1/torch_npu-2.3.1.post6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch_npu-2.3.1.post6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
7.0.0 |
Python 3.8 |
X86_64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.3.1/torch_npu-2.3.1.post6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # 安装命令 pip3 install torch_npu-2.3.1.post6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|
7.0.0 |
Python 3.9 |
AArch64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.3.1/torch_npu-2.3.1.post6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch_npu-2.3.1.post6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
7.0.0 |
Python 3.9 |
X86_64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.3.1/torch_npu-2.3.1.post6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # 安装命令 pip3 install torch_npu-2.3.1.post6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|
7.0.0 |
Python 3.10 |
AArch64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.3.1/torch_npu-2.3.1.post6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch_npu-2.3.1.post6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
7.0.0 |
Python 3.10 |
X86_64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.3.1/torch_npu-2.3.1.post6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # 安装命令 pip3 install torch_npu-2.3.1.post6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|
7.0.0 |
Python 3.11 |
AArch64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.3.1/torch_npu-2.3.1.post6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch_npu-2.3.1.post6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
7.0.0 |
Python 3.11 |
X86_64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.3.1/torch_npu-2.3.1.post6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # 安装命令 pip3 install torch_npu-2.3.1.post6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|
2.4.0 |
7.0.0 |
Python 3.8 |
AArch64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.4.0/torch_npu-2.4.0.post4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch_npu-2.4.0.post4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
7.0.0 |
Python 3.8 |
X86_64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.4.0/torch_npu-2.4.0.post4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # 安装命令 pip3 install torch_npu-2.4.0.post4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|
7.0.0 |
Python 3.9 |
AArch64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.4.0/torch_npu-2.4.0.post4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch_npu-2.4.0.post4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
7.0.0 |
Python 3.9 |
X86_64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.4.0/torch_npu-2.4.0.post4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # 安装命令 pip3 install torch_npu-2.4.0.post4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|
7.0.0 |
Python 3.10 |
AArch64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.4.0/torch_npu-2.4.0.post4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch_npu-2.4.0.post4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
7.0.0 |
Python 3.10 |
X86_64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.4.0/torch_npu-2.4.0.post4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # 安装命令 pip3 install torch_npu-2.4.0.post4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|
7.0.0 |
Python 3.11 |
AArch64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.4.0/torch_npu-2.4.0.post4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch_npu-2.4.0.post4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
7.0.0 |
Python 3.11 |
X86_64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.4.0/torch_npu-2.4.0.post4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # 安装命令 pip3 install torch_npu-2.4.0.post4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|
2.5.1 |
7.0.0 |
Python 3.9 |
AArch64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.5.1/torch_npu-2.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch_npu-2.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
7.0.0 |
Python 3.9 |
X86_64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.5.1/torch_npu-2.5.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # 安装命令 pip3 install torch_npu-2.5.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|
7.0.0 |
Python 3.10 |
AArch64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.5.1/torch_npu-2.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch_npu-2.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
7.0.0 |
Python 3.10 |
X86_64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.5.1/torch_npu-2.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # 安装命令 pip3 install torch_npu-2.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|
7.0.0 |
Python 3.11 |
AArch64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.5.1/torch_npu-2.5.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl # 安装命令 pip3 install torch_npu-2.5.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|
7.0.0 |
Python 3.11 |
X86_64 |
8.1.RC1 |
Pip |
# 下载插件包 wget https://gitee.com/ascend/pytorch/releases/download/v7.0.0-pytorch2.5.1/torch_npu-2.5.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl # 安装命令 pip3 install torch_npu-2.5.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |

pip3 install protobuf==3.20
验证是否成功安装
- 方法一
python3 -c "import torch;import torch_npu; a = torch.randn(3, 4).npu(); print(a + a);"
输出如下类似信息说明PyTorch框架与插件安装成功。
1 2 3
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')
- 方法二
1 2 3 4 5 6 7 8
import torch import torch_npu x = torch.randn(2, 2).npu() y = torch.randn(2, 2).npu() z = x.mm(y) print(z)
输出如下类似信息说明PyTorch框架与插件安装成功。
1 2
tensor([[-0.0515, 0.3664], [-0.1258, -0.5425]], device='npu:0')