{
  "repodata": {
    "build": "gpu_cuda128_py313h16daece_200",
    "build_number": 200,
    "depends": [
      "__glibc >=2.28,<3.0.a0",
      "_openmp_mutex >=4.5",
      "_openmp_mutex >=5.1",
      "blas * openblas",
      "cuda-cudart >=12.8.90,<13.0a0",
      "cuda-cupti >=12.8.90,<13.0a0",
      "cuda-nvrtc >=12.8.93,<13.0a0",
      "cuda-nvtx >=12.8.90,<13.0a0",
      "cuda-version >=12.8,<13",
      "cudnn >=9.15.1.9,<10.0a0",
      "filelock",
      "fmt >=12.1.0,<13.0a0",
      "fsspec",
      "jinja2",
      "libabseil * cxx17*",
      "libabseil >=20260107.0,<20260108.0a0",
      "libcublas >=12.8.4.1,<13.0a0",
      "libcudnn >=9.15.1.9,<10.0a0",
      "libcufft >=11.3.3.83,<12.0a0",
      "libcufile >=1.13.1.3,<2.0a0",
      "libcurand >=10.3.9.90,<11.0a0",
      "libcusolver >=11.7.3.90,<12.0a0",
      "libcusparse >=12.5.8.93,<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_cuda128_h035c163_200",
      "libuv >=1.52.0,<2.0a0",
      "libzlib >=1.3.1,<2.0a0",
      "magma >=2.9.0,<3.0a0",
      "nccl >=2.21.5.1,<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": "6df17837a05a5bfaa498646ec215e63e",
    "name": "pytorch",
    "sha256": "601916625420388776fda1b35f0f4bcd167c9feac2fcbc0779aff980ed892491",
    "size": 37407580,
    "subdir": "linux-64",
    "timestamp": 1775760984824,
    "version": "2.10.0"
  },
  "s3": "builds/ci/prefect/URVVM_XuQ9qoFGB3Iza05g/1775792169/linux-64/pytorch-2.10.0-gpu_cuda128_py313h16daece_200.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "c80d359ac966ead38ec26aa9544993f1c871e07468353cc9663d1ca85a8e4f70c4e28ab7b406f4fd51fb85d8e55231223024948901833e39b05903ebcb992603"
  }
}