{
  "repodata": {
    "build": "gpu_cuda130_py313h257d016_200",
    "build_number": 200,
    "depends": [
      "__glibc >=2.28,<3.0.a0",
      "_openmp_mutex >=4.5",
      "_openmp_mutex >=5.1",
      "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 >=9.17.0.29,<10.0a0",
      "filelock",
      "fmt >=12.1.0,<13.0a0",
      "fsspec",
      "jinja2",
      "libabseil * cxx17*",
      "libabseil >=20260107.0,<20260108.0a0",
      "libcublas >=13.1.0.3,<14.0a0",
      "libcudnn >=9.17.0.29,<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",
      "libopenblas >=0.3.31,<1.0a0",
      "libprotobuf >=6.33.5,<6.33.6.0a0",
      "libstdcxx >=14",
      "libtorch 2.10.0 gpu_cuda130_h7b6033a_200",
      "libuv >=1.52.0,<2.0a0",
      "libzlib >=1.3.1,<2.0a0",
      "magma >=2.9.0,<3.0a0",
      "nccl >=2.29.3.1,<3.0a0",
      "networkx",
      "nomkl",
      "numpy >=1.23,<3",
      "numpy >=1.24.0,<3.0.0",
      "optree >=0.13.0",
      "pybind11-abi 5",
      "python >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313",
      "setuptools",
      "sleef >=3.5.1,<4.0a0",
      "sympy >=1.13.3",
      "triton 3.6.0",
      "typing_extensions >=4.15.0"
    ],
    "license": "BSD-3-Clause",
    "license_family": "BSD",
    "md5": "604977e2b276ce9f71eb348f4aac1d66",
    "name": "pytorch",
    "sha256": "d2e7c49f51ef945c1671d3561e71d3ae2c00d478e900d2462c3a3a7440e12ed7",
    "size": 37433600,
    "subdir": "linux-64",
    "timestamp": 1775592363638,
    "version": "2.10.0"
  },
  "s3": "builds/ci/prefect/XHvxscibQuyut_4IYryBUw/1775596056/linux-64/pytorch-2.10.0-gpu_cuda130_py313h257d016_200.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "81d17cc72a953ea581487b30f9b17580366ee67ed43fa5b8396d4193b58507d6132fee5572a0ce13720235885dbe4575ff2ef4193f979fa9bdb5537a4f949701"
  }
}