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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 23:46:13 2025
md5 checksum 69537be880216453d9e628cf044a2dbb
arch x86_64
build gpu_cuda118py311hd2d20a8_100
build_number 100
depends __cuda >=11.8, _openmp_mutex, blas 1.0 mkl, 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, intel-openmp >=2023.1.0,<2024.0a0, jinja2, libgcc-ng >=11.2.0, libprotobuf >=3.20.3,<3.21.0a0, libstdcxx-ng >=11.2.0, magma >=2.7.1,<3.0a0, mkl >=2023.1.0,<2024.0a0, mkl-service >=2.3.0,<3.0a0, networkx, numpy >=1.23.5,<2.0a0, python >=3.11,<3.12.0a0, sympy, torchtriton 2.3.*, typing_extensions >=4.8.0
license BSD-3-Clause
license_family BSD
md5 69537be880216453d9e628cf044a2dbb
name pytorch
platform linux
sha1 a291576b3b01edcff15ad41cc398fa4cad925938
sha256 91477fd77c56c48e45f9853bb9a29249a3402f6b74a8df03d13bec934ec02349
size 598228000
subdir linux-64
timestamp 1719666412109
version 2.3.0