PyTorch是一种强大的开源机器学习框架，支持基本的数学和张量运算，用户能够使用CPU和GPU实现各种深度学习。pytorch-ubuntu镜像以Ubuntu镜像为base，集成PyTorch，为用户提供开箱即用的深度学习环境。
PyTorch 2.3.0.3.post1
镜像列表
镜像类别 | 镜像地址 |
CPU | ac2-registry.cn-hangzhou.cr.aliyuncs.com/ac2/pytorch-ubuntu:2.3.0.3-ubuntu22.04-enhanced |
GPU | ac2-registry.cn-hangzhou.cr.aliyuncs.com/ac2/pytorch-ubuntu:2.3.0.3-cuda12.1.1-ubuntu22.04-enhanced |
GPU | ac2-registry.cn-hangzhou.cr.aliyuncs.com/ac2/pytorch-ubuntu:2.3.0.3-cuda11.8.0-ubuntu22.04-enhanced |
镜像内容
pytorch-ubuntu:2.3.0.3-ubuntu22.04-enhanced
BaseOS: ubuntu 22.04
gcc: 11.4.0
Python: 3.10.12
certifi: 2024.6.2
charset-normalizer: 3.3.2
filelock: 3.15.3
fsspec: 2024.6.0
idna: 3.7
Jinja2: 3.1.4
MarkupSafe: 2.1.5
mpmath: 1.3.0
networkx: 3.3
numpy: 1.26.4
pillow: 10.3.0
pip: 24.1.1
PySocks: 1.7.1
requests: 2.32.3
setuptools: 70.2.0
sympy: 1.12.1
torch: 2.3.0.3.post1
torchaudio: 2.3.0.3.post1
torchvision: 0.18.0.3.post1
typing_extensions: 4.12.2
urllib3: 2.2.2
wheel: 0.43.0
pytorch-ubuntu:2.3.0.3-cuda12.1.1-ubuntu22.04-enhanced
BaseOS: ubuntu 22.04
gcc: 11.4.0
Python: 3.10.12
cuda-compat-12-1: 530.30.02
cuda-cudart-12-1: 12.1.105
cuda-cupti-12-1: 12.1.105
cuda-libraries-12-1: 12.1.1
cuda-nvrtc-12-1: 12.1.105
cuda-nvtx-12-1: 12.1.105
cuda-opencl-12-1: 12.1.105
libcublas-12-1: 12.1.3.1
libcufft-12-1: 11.0.2.54
libcufile-12-1: 1.6.1.9
libcurand-12-1: 10.3.2.106
libcusolver-12-1: 11.4.5.107
libcusparse-12-1: 12.1.0.106
libnpp-12-1: 12.1.0.40
libnvjitlink-12-1: 12.1.105
libnvjpeg-12-1: 12.2.0.2
libnccl2: 2.20.5
libcudnn8: 8.9.2.26
certifi: 2024.6.2
charset-normalizer: 3.3.2
filelock: 3.15.3
fsspec: 2024.6.0
idna: 3.7
Jinja2: 3.1.4
MarkupSafe: 2.1.5
mpmath: 1.3.0
networkx: 3.3
numpy: 1.26.4
pillow: 10.3.0
pip: 24.1.1
PySocks: 1.7.1
requests: 2.32.3
setuptools: 70.2.0
sympy: 1.12.1
torch: 2.3.0.3.post1+cu121
torchaudio: 2.3.0.3.post1+cu121
torchvision: 0.18.0.3.post1+cu121
triton: 2.3.0
typing_extensions: 4.12.2
urllib3: 2.2.2
wheel: 0.43.0
pytorch-ubuntu:2.3.0.3-cuda11.8.0-ubuntu22.04-enhanced
BaseOS: ubuntu 22.04
gcc: 11.4.0
Python: 3.10.12
cuda-compat-11-8: 520.61.05
cuda-cudart-11-8: 11.8.89
cuda-cupti-11-8: 11.8.87
cuda-libraries-11-8: 11.8.0
cuda-nvrtc-11-8: 11.8.89
cuda-nvtx-11-8: 11.8.86
libcublas-11-8: 11.11.3.6
libcufft-11-8: 10.9.0.58
libcufile-11-8: 1.4.0.31
libcurand-11-8: 10.3.0.86
libcusolver-11-8: 11.4.1.48
libcusparse-11-8: 11.7.5.86
libnpp-11-8: 11.8.0.86
libnvjpeg-11-8: 11.9.0.86
libnccl2: 2.20.5
libcudnn8: 8.7.0.84
certifi: 2024.6.2
charset-normalizer: 3.3.2
filelock: 3.15.3
fsspec: 2024.6.0
idna: 3.7
Jinja2: 3.1.4
MarkupSafe: 2.1.5
mpmath: 1.3.0
networkx: 3.3
numpy: 1.26.4
pillow: 10.3.0
pip: 24.1.1
PySocks: 1.7.1
requests: 2.32.3
setuptools: 70.2.0
sympy: 1.12.1
torch: 2.3.0.3.post1+cu118
torchaudio: 2.3.0.3.post1+cu118
torchvision: 0.18.0.3.post1+cu118
triton: 2.3.0
typing_extensions: 4.12.2
urllib3: 2.2.2
wheel: 0.43.0
镜像运行要求
pytorch-ubutnu:2.3.0.3-ubuntu22.04-enhanced为CPU镜像，对驱动无要求。
pytorch-ubuntu:2.3.0.3-cuda12.1.1-ubuntu22.04-enhanced镜像，包含CUDA 12.1.1，需要nvidia-driver >= 530。兼容nvidia-driver R470，R525。
pytorch-ubuntu:2.3.0.3-cuda11.8.0-ubuntu22.04-enhanced镜像，需要nvidia-driver >= 470。
重要特性
pytorch版本更新至2.3.0.3.post1，torchvision和torchaudio同步更新。
pytorch 2.3.0.3.post1在pytorch 2.3.0基础上，优化dynamo的模型和性能支持，能够在使用deepspeed/fsdp的同时获得dynamo的性能优化。
更新记录
2024.07：发布pytorch-ubuntu 2.3.0.3镜像，包含CPU，CUDA11.8，CUDA12.1镜像。
PyTorch 2.3.0
镜像列表
镜像类别 | 镜像地址 |
CPU | ac2-registry.cn-hangzhou.cr.aliyuncs.com/ac2/pytorch-ubuntu:2.3.0-ubuntu22.04 |
GPU | ac2-registry.cn-hangzhou.cr.aliyuncs.com/ac2/pytorch-ubuntu:2.3.0-cuda12.1.1-ubuntu22.04 |
GPU | ac2-registry.cn-hangzhou.cr.aliyuncs.com/ac2/pytorch-ubuntu:2.3.0-cuda11.8.0-ubuntu22.04 |
镜像内容
pytorch-ubuntu:2.3.0-ubuntu22.04
gcc: 11.4.0
Python: 3.10.12
certifi: 2024.2.2
charset-normalizer: 3.3.2
filelock: 3.14.0
fsspec: 2024.5.0
idna: 3.7
Jinja2: 3.1.4
MarkupSafe: 2.1.5
mpmath: 1.3.0
networkx: 3.3
numpy: 1.26.4
pillow: 10.3.0
pip: 24.0
PySocks: 1.7.1
requests: 2.32.3
setuptools: 70.0.0
sympy: 1.12
torch: 2.3.0+cpu
torchaudio: 2.3.0+cpu
torchvision: 0.18.0+cpu
typing_extensions: 4.12.0
urllib3: 2.2.1
wheel: 0.43.0
pytorch-ubuntu:2.3.0-cuda12.1.1-ubuntu22.04
gcc: 11.4.0
Python: 3.10.12
cuda-compat-12-1: 530.30.02
cuda-cudart-12-1: 12.1.105
cuda-cupti-12-1: 12.1.105
cuda-libraries-12-1: 12.1.1
cuda-nvrtc-12-1: 12.1.105
cuda-nvtx-12-1: 12.1.105
cuda-opencl-12-1: 12.1.105
libcublas-12-1: 12.1.3.1
libcufft-12-1: 11.0.2.54
libcufile-12-1: 1.6.1.9
libcurand-12-1: 10.3.2.106
libcusolver-12-1: 11.4.5.107
libcusparse-12-1: 12.1.0.106
libnpp-12-1: 12.1.0.40
libnvjitlink-12-1: 12.1.105
libnvjpeg-12-1: 12.2.0.2
libnccl2: 2.20.5
libcudnn8: 8.9.2.26
certifi: 2024.2.2
charset-normalizer: 3.3.2
filelock: 3.14.0
fsspec: 2024.5.0
idna: 3.7
Jinja2: 3.1.4
MarkupSafe: 2.1.5
mpmath: 1.3.0
networkx: 3.3
numpy: 1.26.4
pillow: 10.3.0
pip: 24.0
PySocks: 1.7.1
requests: 2.32.3
setuptools: 70.0.0
sympy: 1.12
torch: 2.3.0+cu121
torchaudio: 2.3.0+cu121
torchvision: 0.18.0+cu121
triton: 2.3.0
typing_extensions: 4.12.0
urllib3: 2.2.1
wheel: 0.43.0
pytorch-ubuntu:2.3.0-cuda11.8.0-ubuntu22.04
gcc: 11.4.0
Python: 3.10.12
cuda-compat-11-8: 520.61.05
cuda-cudart-11-8: 11.8.89
cuda-cupti-11-8: 11.8.87
cuda-libraries-11-8: 11.8.0
cuda-nvrtc-11-8: 11.8.89
cuda-nvtx-11-8: 11.8.86
libcublas-11-8: 11.11.3.6
libcufft-11-8: 10.9.0.58
libcufile-11-8: 1.4.0.31
libcurand-11-8: 10.3.0.86
libcusolver-11-8: 11.4.1.48
libcusparse-11-8: 11.7.5.86
libnpp-11-8: 11.8.0.86
libnvjpeg-11-8: 11.9.0.86
libnccl2: 2.20.5
libcudnn8: 8.7.0.84
certifi: 2024.6.2
charset-normalizer: 3.3.2
filelock: 3.15.3
fsspec: 2024.6.0
idna: 3.7
Jinja2: 3.1.4
MarkupSafe: 2.1.5
mpmath: 1.3.0
networkx: 3.3
numpy: 1.26.4
pillow: 10.3.0
pip: 24.1.1
PySocks: 1.7.1
requests: 2.32.3
setuptools: 70.2.0
sympy: 1.12.1
torch: 2.3.0+cu118
torchaudio: 2.3.0+cu118
torchvision: 0.18.0+cu118
triton: 2.3.0
typing_extensions: 4.12.2
urllib3: 2.2.2
wheel: 0.43.0
镜像运行要求
1、pytorch-ubutnu:2.3.0-ubuntu22.04为CPU镜像，对驱动无要求。
2、pytorch-ubuntu:2.3.0-cuda12.1.1-ubuntu22.04镜像，包含CUDA 12.1.1，需要nvidia-driver >= 530。兼容nvidia-driver R470，R525。
3、pytorch-ubuntu:2.3.0-cuda11.8.0-ubuntu22.04镜像，需要nvidia-driver >= 470。
重要特性
pytorch版本更新至2.3.0.3，torchvision和torchaudio同步更新。
更新记录
2024.06：发布pytorch-ubuntu 2.3.0镜像，包含CPU，CUDA11.8和CUDA12.1镜像。
PyTorch 2.2.0.1
镜像列表
镜像类别 | 镜像地址 |
CPU | ac2-registry.cn-hangzhou.cr.aliyuncs.com/ac2/pytorch-ubuntu:2.2.0.1-22.04 |
GPU | ac2-registry.cn-hangzhou.cr.aliyuncs.com/ac2/pytorch-ubuntu:2.2.0.1-22.04-cu121 |
GPU | ac2-registry.cn-hangzhou.cr.aliyuncs.com/ac2/pytorch-ubuntu:2.2.0.1-22.04-cu118 |
镜像内容
pytorch-ubuntu:2.2.0.1-22.04
gcc: 11.4.0
Python: 3.10.12
certifi: 2024.2.2
charset-normalizer: 3.3.2
filelock: 3.13.1
fsspec: 2024.2.0
idna: 3.6
Jinja2: 3.1.3
MarkupSafe: 2.1.5
mpmath: 1.3.0
networkx: 3.2.1
numpy: 1.26.4
pillow: 10.2.0
pip: 24.0
PySocks: 1.7.1
requests: 2.31.0
setuptools: 69.1.1
sympy: 1.12
torch: 2.2.0.1
torchaudio: 2.2.0.1
torchvision: 0.17.0.1
typing_extensions: 4.10.0
urllib3: 2.2.1
wheel: 0.42.0
pytorch-ubuntu:2.2.0.1-22.04-cu121
gcc: 11.4.0
Python: 3.10.12
cuda-compat-12-1: 530.30.02
cuda-cudart-12-1: 12.1.105
cuda-cupti-12-1: 12.1.105
cuda-libraries-12-1: 12.1.1
cuda-nvrtc-12-1: 12.1.105
cuda-nvtx-12-1: 12.1.105
cuda-opencl-12-1: 12.1.105
libcublas-12-1: 12.1.3.1
libcufft-12-1: 11.0.2.54
libcufile-12-1: 1.6.1.9
libcurand-12-1: 10.3.2.106
libcusolver-12-1: 11.4.5.107
libcusparse-12-1: 12.1.0.106
libnpp-12-1: 12.1.0.40
libnvjitlink-12-1: 12.1.105
libnvjpeg-12-1: 12.2.0.2
libnccl2: 2.19.3
libcudnn8: 8.9.2.26
certifi: 2024.2.2
charset-normalizer: 3.3.2
filelock: 3.13.1
fsspec: 2024.2.0
idna: 3.6
Jinja2: 3.1.3
MarkupSafe: 2.1.5
mpmath: 1.3.0
networkx: 3.2.1
numpy: 1.26.4
pillow: 10.2.0
pip: 24.0
PySocks: 1.7.1
requests: 2.31.0
setuptools: 69.1.1
sympy: 1.12
torch: 2.2.0.1+cu121
torchaudio: 2.2.0.1+cu121
torchvision: 0.17.0.1+cu121
triton: 2.2.0
typing_extensions: 4.10.0
urllib3: 2.2.1
wheel: 0.42.0
pytorch-ubuntu:2.2.0.1-22.04-cu118
Python: 3.10.12
gcc: 11.4.0
cuda-compat-11-8: 520.61.05
cuda-cudart-11-8: 11.8.89
cuda-cupti-11-8: 11.8.87
cuda-libraries-11-8: 11.8.0
cuda-nvrtc-11-8: 11.8.89
cuda-nvtx-11-8: 11.8.86
libcublas-11-8: 11.11.3.6
libcufft-11-8: 10.9.0.58
libcufile-11-8: 1.4.0.31
libcurand-11-8: 10.3.0.86
libcusolver-11-8: 11.4.1.48
libcusparse-11-8: 11.7.5.86
libnpp-11-8: 11.8.0.86
libnvjpeg-11-8: 11.9.0.86
libcudnn8: 8.9.2.26
certifi: 2024.2.2
charset-normalizer: 3.3.2
filelock: 3.13.1
fsspec: 2024.2.0
idna: 3.6
Jinja2: 3.1.3
MarkupSafe: 2.1.5
mpmath: 1.3.0
networkx: 3.2.1
numpy: 1.26.4
nvidia-nccl-cu11: 2.19.3
pillow: 10.2.0
pip: 24.0
PySocks: 1.7.1
requests: 2.31.0
setuptools: 69.1.1
sympy: 1.12
torch: 2.2.0.1+cu118
torchaudio: 2.2.0.1+cu118
torchvision: 0.17.0.1+cu118
triton: 2.2.0+cu118
typing_extensions: 4.10.0
urllib3: 2.2.1
wheel: 0.42.0
镜像运行要求
1、pytorch-ubutnu:2.2.0.1-ubuntu22.04为CPU镜像，对驱动无要求。
2、pytorch-ubuntu:2.2.0.1-cuda12.1.1-ubuntu22.04镜像，包含CUDA 12.1.1，需要nvidia-driver >= 530。兼容nvidia-driver R470、R525。
3、pytorch-ubuntu:2.2.0.1-cuda11.8.0-ubuntu22.04镜像，需要nvidia-driver >= 470。
重要特性
1、pytorch版本更新至2.2.0.1，torchvision和torchaudio同步更新。
2、pytorch 2.2.0.1在pytorch 2.2.0基础上，优化dynamo的模型和性能支持，能够在使用deepspeed/fsdp的同时获得dynamo的性能优化。
更新记录
2024.03：发布pytorch-ubuntu 2.2.0.1镜像，包含CPU、CUDA11.8、CUDA12.1镜像。