{
  "repodata": {
    "build": "gpu_cuda130_py312hc2a133f_200",
    "build_number": 200,
    "depends": [
      "__glibc >=2.28,<3.0.a0",
      "_openmp_mutex * *_gnu",
      "_openmp_mutex >=5.1 *_gnu",
      "blas * openblas",
      "cuda-cudart >=13.0.96,<14.0a0",
      "cuda-cupti >=13.0.85,<14.0a0",
      "cuda-nvrtc >=13.0.88,<14.0a0",
      "cuda-nvtx >=13.0.85,<14.0a0",
      "cuda-version >=13.0,<14",
      "cudnn >=9.23.1.3,<10.0a0",
      "filelock",
      "fmt >=12.1.0,<13.0a0",
      "fsspec",
      "jinja2",
      "libabseil * cxx17*",
      "libabseil >=20260107.0,<20260108.0a0",
      "libcublas >=13.1.1.3,<14.0a0",
      "libcudnn >=9.23.1.3,<10.0a0",
      "libcufft >=12.0.0.61,<13.0a0",
      "libcufile >=1.15.1.6,<2.0a0",
      "libcurand >=10.4.0.35,<11.0a0",
      "libcusolver >=12.0.4.66,<13.0a0",
      "libcusparse >=12.6.3.3,<13.0a0",
      "libgcc >=14",
      "libgomp",
      "libopenblas >=0.3.31,<1.0a0",
      "libprotobuf >=6.33.5,<6.33.6.0a0",
      "libstdcxx >=14",
      "libtorch 2.13.0 gpu_cuda130_hdabe5fe_200",
      "libuv >=1.52.0,<2.0a0",
      "libzlib >=1.3.2,<2.0a0",
      "magma >=2.9.0,<3.0a0",
      "nccl >=2.30.7.1,<3.0a0",
      "networkx",
      "nomkl",
      "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",
      "triton 3.7.1",
      "typing_extensions >=4.10.0"
    ],
    "license": "BSD-3-Clause",
    "license_family": "BSD",
    "md5": "a7f8e86631c8478b8be671c5f25c3bd6",
    "name": "pytorch",
    "sha256": "64498d62c9ee11fd56bdb4917da0241c3afd302f7437505c8b8292ff086ed99d",
    "size": 42625468,
    "subdir": "linux-64",
    "timestamp": 1784132907279,
    "version": "2.13.0"
  },
  "s3": "builds/ci/prefect/cSwBap-YRhibOgrr7I27-A/1784148570/linux-64/pytorch-2.13.0-gpu_cuda130_py312hc2a133f_200.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "62a2a0dab488793119ad20499c43dc9894399809e42f0cd1fba8db6094fca4382686f1a396d72e1fc1309e131e393561b9a9eb8ac98eb9e0d63b7a5d77a28206"
  }
}