{
  "repodata": {
    "build": "gpu_cuda130_py312h80a130d_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 >=13.1.1.3,<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 2.11.0 gpu_cuda130_h6ace295_200",
      "libuv >=1.52.0,<2.0a0",
      "libzlib >=1.3.1,<2.0a0",
      "magma >=2.10.0,<3.0a0",
      "nccl >=2.30.4.1,<3.0a0",
      "networkx",
      "nomkl",
      "numpy >=1.23,<3",
      "numpy >=1.24.0,<3.0.0",
      "optree >=0.13.0",
      "python >=3.12,<3.13.0a0",
      "setuptools <82",
      "sleef >=3.5.1,<4.0a0",
      "sympy >=1.13.3",
      "triton 3.6.0",
      "typing_extensions >=4.10.0"
    ],
    "license": "BSD-3-Clause",
    "license_family": "BSD",
    "md5": "14734221e19e7f60f783d8b2b9374ea4",
    "name": "pytorch",
    "sha256": "026674932b5019554a9e3fd3b051791e292acebd9f1db97608cd8147b6fb9ae8",
    "size": 38431769,
    "subdir": "linux-64",
    "timestamp": 1778394181487,
    "version": "2.11.0"
  },
  "s3": "builds/ci/prefect/DunEqsGxRhKLMxytnf-MYA/1778438848/linux-64/pytorch-2.11.0-gpu_cuda130_py312h80a130d_200.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "ff8e4fe9a1a3f0e67be71becd6080b6aabbb072259339bfef8d6ea82e78f5d23bbbca4d91c8f4f55442edebf0b5a1f9f6479ba6c8a9138f34f9d0250e620f30b"
  }
}