PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
Uploaded | Mon Mar 31 23:50:32 2025 |
md5 checksum | 3773a736f461bf97b26b805f71d159b6 |
arch | x86_64 |
build | gpu_cuda113py311hde3f150_1 |
build_number | 1 |
depends | _openmp_mutex, blas * openblas, cffi, cudatoolkit >=11.3.1,<11.4.0a0, cudnn >=8.2,<9.0a0, cudnn >=8.2.1,<9.0a0, cupti, future, libgcc-ng >=9.3.0, libopenblas, libprotobuf >=3.20.3,<3.21.0a0, libstdcxx-ng >=9.3.0, magma, ninja, numpy >=1.23,<2, python >=3.11,<3.12.0a0, pyyaml, typing-extensions |
license | BSD-3-Clause |
license_family | BSD |
md5 | 3773a736f461bf97b26b805f71d159b6 |
name | pytorch |
platform | linux |
sha1 | 5d9667d7d2662e5ff2ad93cbf078335015d8a155 |
sha256 | 706b6af7deb37a0621e30e3905addc0e7739d8f3c4469e39c002896f2fb03c16 |
size | 449915378 |
subdir | linux-64 |
timestamp | 1685719933655 |
version | 1.13.1 |