{
  "repodata": {
    "build": "gpu_cuda130_py310h69d28ac_201",
    "build_number": 201,
    "depends": [
      "__glibc >=2.28,<3.0.a0",
      "_openmp_mutex >=4.5",
      "_openmp_mutex >=5.1",
      "arm-variant * sbsa",
      "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 >=15",
      "libopenblas >=0.3.31,<1.0a0",
      "libprotobuf >=6.33.5,<6.33.6.0a0",
      "libstdcxx >=15",
      "libtorch 2.10.0 gpu_cuda130_h2776bd8_201",
      "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 >=1.21,<3",
      "numpy >=1.24.0,<3.0.0",
      "optree >=0.13.0",
      "python >=3.10,<3.11.0a0",
      "setuptools",
      "sleef >=3.5.1,<4.0a0",
      "sympy >=1.13.3",
      "typing_extensions >=4.15.0"
    ],
    "license": "BSD-3-Clause",
    "license_family": "BSD",
    "md5": "364ce19b04f766b1946234eb2a0a6543",
    "name": "pytorch",
    "sha256": "9699766efce07565a418ce9cdfb8578049d8d6941af12e0c33ec57c5f2da6dd5",
    "size": 37924836,
    "subdir": "linux-aarch64",
    "timestamp": 1775940581682,
    "version": "2.10.0"
  },
  "s3": "builds/ci/prefect/Bw5JOmgbTxqgqGzQNsZDfw/1776007669/linux-aarch64/pytorch-2.10.0-gpu_cuda130_py310h69d28ac_201.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "74e0dc273bfe018809e8a7dfec6c5c5e3df2e75cc12ca5c9f839e60a9586eaaebd90a878a24f8e69458ce9033e45918a76dd57958a48e5109a865bdb80854f0d"
  }
}