{
  "repodata": {
    "build": "gpu_cuda130_py313h44fcf6e_300",
    "build_number": 300,
    "depends": [
      "filelock",
      "fsspec",
      "intel-openmp",
      "jinja2",
      "libabseil",
      "libcudnn",
      "libprotobuf 6.33.5",
      "libtorch 2.12.0 gpu_cuda130_*_300",
      "magma",
      "networkx",
      "numpy >=1.24.0,<3.0.0",
      "optree >=0.13.0",
      "python",
      "setuptools >=70.1.0,<82",
      "sympy >=1.13.3",
      "typing_extensions >=4.10.0"
    ],
    "license": "BSD-3-Clause",
    "license_family": "BSD",
    "md5": "ccbe19f7273c6fc2430de88f88ae6c14",
    "name": "pytorch",
    "sha256": "f20fb911eebddf0d86741eee688eaca169b1d7ab8c6c34fdf46fad819695e0d7",
    "size": 40939475,
    "subdir": "win-64",
    "timestamp": 1780942720808,
    "version": "2.12.0"
  },
  "s3": "builds/ci/prefect/IGIDPRoyS92aLV1Sup8BzA/1780971072/win-64/pytorch-2.12.0-gpu_cuda130_py313h44fcf6e_300.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "e299b28d96b317f64e8b303e6ec4fd6c12d0dcd8ba9c47d6b62b66656487acb496f0c7c843ed30d0e5d10ec7a22bdb2c5ba1d9d4fd7c5ced37c87b10c712fb02"
  }
}