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 23:41:46 2025 |
md5 checksum | 490300371e231358627850828eb0e21b |
arch | x86_64 |
build | gpu_cuda118py310hc135f25_100 |
build_number | 100 |
depends | __cuda >=11.8, _openmp_mutex, blas * openblas, cudatoolkit >=11.8.0,<11.9.0a0, cudnn >=8.9,<9.0a0, cudnn >=8.9.2.26,<9.0a0, cupti >=11.8.0,<12.0a0, filelock, fsspec, jinja2, libabseil * cxx17*, libabseil >=20240116.2,<20240116.3.0a0, libgcc-ng >=11.2.0, libopenblas >=0.3.21,<1.0a0, libprotobuf >=4.25.3,<4.25.4.0a0, libstdcxx-ng >=11.2.0, magma >=2.7.1,<3.0a0, networkx, numpy >=1.22.4,<3.0.0, python >=3.10,<3.11.0a0, sympy, torchtriton 2.3.*, typing_extensions >=4.8.0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | 490300371e231358627850828eb0e21b |
name | pytorch |
platform | linux |
sha1 | e9ea35d5e967573a11f3fcafb16a0076d0009a10 |
sha256 | 393deb44bbfee91b25a7c7a005cb0b238343dbf4607f0859684d0801da7b8315 |
size | 585969125 |
subdir | linux-64 |
timestamp | 1731609631534 |
version | 2.3.1 |