{
  "repodata": {
    "build": "gpu_cuda130_py312hd5aa856_200",
    "build_number": 200,
    "depends": [
      "_openmp_mutex",
      "filelock",
      "fsspec",
      "jinja2",
      "libcudnn",
      "libgomp",
      "libtorch 2.12.0 gpu_cuda130_*_200",
      "magma",
      "networkx",
      "nomkl",
      "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": "f7722b6ad589f25d4baa9463e61e343f",
    "name": "pytorch",
    "sha256": "c8920e5374835e0b217306213df9369e589287f3d3b9bd597bdd108b6e2ac6fa",
    "size": 45840199,
    "subdir": "linux-aarch64",
    "timestamp": 1780964985207,
    "version": "2.12.0"
  },
  "s3": "builds/ci/prefect/Tm6n2Wd8SDeW9Xd-FurT1w/1780966200/linux-aarch64/pytorch-2.12.0-gpu_cuda130_py312hd5aa856_200.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "539e95d4528616dbf9ee9ab7ae2f41b23f7389923b39c8901001ec642115ef6b9baee8e21e218a42ffbaa15a44317a61583bc578521400b1c9f4a363dcad0b0d"
  }
}