torch@1.0.0

Tensors and Dynamic neural networks in Python with strong GPU acceleration

2018-12-07 Python >=3.10 wheel

安装 (1.0.0)

pip install torch==1.0.0

poetry add torch==1.0.0

pipenv install torch==1.0.0

conda install torch=1.0.0

依赖 (18)

依赖
`filelock`
`typing-extensions>=4.10.0`
`setuptools<82`
`sympy>=1.13.3`
`networkx>=2.5.1`
`jinja2`
`fsspec>=0.8.5`
`cuda-toolkit[cudart,cufft,cufile,cupti,curand,cusolver,cusparse,nvjitlink,nvrtc,nvtx]==13.0.2; platform_system == "Linux"`
`nvidia-cublas<=13.1.1.3,>=13.1.0.3; platform_system == "Linux"`
`cuda-bindings<14,>=13.0.3; platform_system == "Linux"`
`nvidia-cudnn-cu13==9.20.0.48; platform_system == "Linux"`
`nvidia-cusparselt-cu13==0.8.1; platform_system == "Linux"`
`nvidia-nccl-cu13==2.29.7; platform_system == "Linux"`
`nvidia-nvshmem-cu13==3.4.5; platform_system == "Linux"`
`triton==3.7.1; platform_system == "Linux"`
`optree>=0.13.0; extra == "optree"`
`opt-einsum>=3.3; extra == "opt-einsum"`
`pyyaml; extra == "pyyaml"`

下载文件

文件名	类型	Python 版本	大小
torch-1.0.0-cp27-cp27m-manylinux1_x86_64.whl	bdist_wheel	`cp27`	591763257 bytes
torch-1.0.0-cp27-cp27mu-manylinux1_x86_64.whl	bdist_wheel	`cp27`	591762613 bytes
torch-1.0.0-cp27-none-macosx_10_6_x86_64.whl	bdist_wheel	`cp27`	61422362 bytes
torch-1.0.0-cp35-cp35m-manylinux1_x86_64.whl	bdist_wheel	`cp35`	591753877 bytes
torch-1.0.0-cp35-none-macosx_10_6_x86_64.whl	bdist_wheel	`cp35`	61412264 bytes
torch-1.0.0-cp36-cp36m-manylinux1_x86_64.whl	bdist_wheel	`cp36`	591750603 bytes
torch-1.0.0-cp36-none-macosx_10_7_x86_64.whl	bdist_wheel	`cp36`	61418861 bytes
torch-1.0.0-cp37-cp37m-manylinux1_x86_64.whl	bdist_wheel	`cp37`	591759574 bytes
torch-1.0.0-cp37-none-macosx_10_7_x86_64.whl	bdist_wheel	`cp37`	61422356 bytes

版本列表

2.12.1 2026-06-17

2.12.0 2026-05-13

2.11.0 2026-03-23

2.10.0 2026-02-10

2.9.1 2025-11-12

2.9.0 2025-10-15

2.8.0 2025-08-06

2.7.1 2025-06-04

2.7.0 2025-04-23

2.6.0 2025-01-29

2.5.1 2024-10-29

2.5.0 2024-10-17

2.4.1 2024-09-04

2.4.0 2024-07-24

2.3.1 2024-06-05

2.3.0 2024-04-24

2.2.2 2024-03-27

2.2.1 2024-02-22

2.2.0 2024-01-30

2.1.2 2023-12-14

2.1.1 2023-11-15

2.1.0 2023-10-04

2.0.1 2023-05-08

2.0.0 2023-03-17

1.13.1 2022-12-15

1.13.0 2022-10-28

1.12.1 2022-08-05

1.12.0 2022-06-28

1.11.0 2022-03-10

1.10.2 2022-01-27

1.10.1 2021-12-15

1.10.0 2021-10-21

1.9.1 2021-09-20

1.9.0 2021-06-15

1.8.1 2021-03-25

1.8.0 2021-03-04

1.7.1 2020-12-10

1.7.0 2020-10-27

1.6.0 2020-07-28

1.5.1 2020-06-18

1.5.0 2020-04-21

1.4.0 2020-01-15

1.3.1 2019-11-07

1.3.0 2019-10-10

1.2.0 2019-08-08

1.1.0 2019-04-30

1.0.1 2019-02-05

1.0.0 2018-12-07

torch@1.0.0

安装 (1.0.0)

依赖 (18)

下载文件

版本列表

相关教程