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 23:43:43 2025 |
md5 checksum | 2669c7ae9e0f17e279f06e740cd73633 |
arch | x86_64 |
build | gpu_cuda118py310h15c2a99_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 >=1.21.6,<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 | 2669c7ae9e0f17e279f06e740cd73633 |
name | pytorch |
platform | linux |
sha1 | a77060a0c71f6d887c0b318f137c22275c032805 |
sha256 | dd116487ea623616001d16ec9240da5022eb9c307e58e06e12a0dee23de5f1b5 |
size | 595218074 |
subdir | linux-64 |
timestamp | 1719644193128 |
version | 2.3.0 |