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 23:49:59 2025 |
md5 checksum | 3d0a5a049bced4e58ed6ad2d19c6f5d2 |
arch | x86_64 |
build | gpu_cuda113py311h09dffc6_0 |
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 | 3d0a5a049bced4e58ed6ad2d19c6f5d2 |
name | pytorch |
platform | linux |
sha1 | 1f832b15eae187b3e5de0b09ea07b78dc47f2299 |
sha256 | 1514c5f1a47db35ce93a967f9f1a98a8d7dfd25f6a2f469ff80e6834d957235d |
size | 449897225 |
subdir | linux-64 |
timestamp | 1683108349429 |
version | 1.13.1 |