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 23:47:12 2025 |
md5 checksum | ec226e63065c72a8bfd5903f75128fd0 |
arch | x86_64 |
build | gpu_cuda118py310h7799f5a_0 |
depends | __cuda >=11.8, _openmp_mutex, blas * openblas, cffi, cudatoolkit >=11.8.0,<11.9.0a0, cudnn >=8.9,<9.0a0, cudnn >=8.9.2.26,<9.0a0, cupti, filelock, jinja2, libgcc-ng >=11.2.0, libopenblas, libprotobuf >=3.20.3,<3.21.0a0, libstdcxx-ng >=11.2.0, magma, networkx, ninja, numpy >=1.21.5,<2.0a0, python >=3.10,<3.11.0a0, sympy, typing-extensions |
license | BSD-3-Clause |
license_family | BSD |
md5 | ec226e63065c72a8bfd5903f75128fd0 |
name | pytorch |
platform | linux |
sha1 | 0cc1d6b2e5d8ea2d72a47c5a3771568b4da841ac |
sha256 | f52dc553c7dfb93a2ebd70d20587754311c59f887f64d7944d7b034f4833ad37 |
size | 489250347 |
subdir | linux-64 |
timestamp | 1692719210725 |
version | 2.0.1 |