{
  "repodata": {
    "build": "gpu_cuda129_py312h9f38c63_300",
    "build_number": 300,
    "depends": [
      "_openmp_mutex * *_intel",
      "blas * mkl",
      "cuda-cudart >=12.9.79,<13.0a0",
      "cuda-cupti >=12.9.79,<13.0a0",
      "cuda-nvrtc >=12.9.86,<13.0a0",
      "cuda-version >=12.9,<13",
      "cudnn >=9.17.0.29,<10.0a0",
      "filelock",
      "fmt >=12.1.0,<13.0a0",
      "fsspec",
      "intel-openmp >=2025.0.0,<2026.0a0",
      "jinja2",
      "libabseil * cxx17*",
      "libabseil >=20260107.0,<20260108.0a0",
      "libcublas >=12.9.2.10,<13.0a0",
      "libcudnn >=9.17.0.29,<10.0a0",
      "libcufft >=11.4.1.4,<12.0a0",
      "libcurand >=10.3.10.19,<11.0a0",
      "libcusolver >=11.7.5.82,<12.0a0",
      "libcusparse >=12.5.10.65,<13.0a0",
      "libprotobuf >=6.33.5,<6.33.6.0a0",
      "libtorch 2.13.0 gpu_cuda129_h64096d4_300",
      "libuv >=1.52.0,<2.0a0",
      "libzlib >=1.3.2,<2.0a0",
      "magma >=2.9.0,<3.0a0",
      "mkl >=2025.0.0,<2026.0a0",
      "mkl-service >=2.3.0,<3.0a0",
      "networkx",
      "numpy >=1.24.0,<3.0.0",
      "numpy >=1.25,<3",
      "optree >=0.13.0",
      "pybind11-abi 11",
      "python >=3.12,<3.13.0a0",
      "setuptools >=77.0.0,<82",
      "sleef >=3.9.0,<4.0a0",
      "sympy >=1.13.3",
      "typing_extensions >=4.10.0",
      "ucrt >=10.0.20348.0",
      "vc >=14.3,<15",
      "vc14_runtime >=14.44.35208"
    ],
    "license": "BSD-3-Clause",
    "license_family": "BSD",
    "md5": "f2c1ce3011d2bb283eb21dd76e5c7a0b",
    "name": "pytorch",
    "sha256": "d02b71db7b42a2fe83a8456b9b34ecbdee1d3735ff0703f4e5151d6e6d2669b2",
    "size": 43303688,
    "subdir": "win-64",
    "timestamp": 1784097972278,
    "version": "2.13.0"
  },
  "s3": "builds/ci/prefect/dVVZMGswTSeAxk_9i_KVVA/1784107296/win-64/pytorch-2.13.0-gpu_cuda129_py312h9f38c63_300.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "9e36a8f63b55d6044f4ef0bd9fc19f3f839d19dbc8eee99a4144510b57d19a0166ed83ec7eb6904faec7ebf58456246f1363588f111d2e46fff0da0fe4005d0c"
  }
}