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 23:44:22 2025 |
md5 checksum | c14988e50702e5ca604cfa016f056688 |
arch | x86_64 |
build | gpu_cuda118py310h796af20_101 |
build_number | 101 |
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 >=1.21.6,<2.0a0, python >=3.10,<3.11.0a0, sympy, torchtriton 2.3.*, typing_extensions >=4.8.0 |
license | BSD-3-Clause |
license_family | BSD |
md5 | c14988e50702e5ca604cfa016f056688 |
name | pytorch |
platform | linux |
sha1 | 83e70acf66f0b24415711f47444bd298581b94a3 |
sha256 | be1d03c09e89d24e1f7996ff187be2a90fa5f6c83efd8fa0276305d5ad64b81c |
size | 586144459 |
subdir | linux-64 |
timestamp | 1725750445665 |
version | 2.3.0 |