{
  "repodata": {
    "build": "py310h309e580_0",
    "build_number": 0,
    "constrains": [
      "hydra-core >=1.2.0",
      "bitsandbytes >=0.45.2,<0.47.0",
      "matplotlib-base >3.1",
      "jsonargparse >=4.39.0",
      "tensorboardX >=2.2",
      "omegaconf >=2.2.3",
      "rich >=12.3.0"
    ],
    "depends": [
      "fsspec >=2022.5.0",
      "libtorch >=2.12.0,<2.13.0a0",
      "lightning-utilities >=0.10.0",
      "packaging >=23.0",
      "python >=3.10,<3.11.0a0",
      "pytorch >=2.1.0",
      "pytorch >=2.12.0,<2.13.0a0",
      "pyyaml >5.4",
      "torchmetrics >0.7.0",
      "tqdm >=4.57.0",
      "typing_extensions >4.5.0"
    ],
    "license": "Apache-2.0",
    "license_family": "Apache",
    "md5": "0526674b1bddbb578219765a9d57a883",
    "name": "pytorch-lightning",
    "sha256": "fe430a022936c5f760eb9db14fd0697b18b7bf38caa90de40c6d948639786b8d",
    "size": 1073743,
    "subdir": "linux-aarch64",
    "timestamp": 1784643625261,
    "version": "2.6.5"
  },
  "s3": "builds/ci/prefect/HpSELhv1Qs-X15cDQMkeFw/1784647254/linux-aarch64/pytorch-lightning-2.6.5-py310h309e580_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "03d0f9c58072e2b8bd9a325ace7f3df165a25b38e8de336dc8c96b3b3b1d34112a95ea792019ccacf34b851846e1d07101c11588cd669b73beedc491f1e74801"
  }
}