{
  "repodata": {
    "build": "py311hf90cdd8_0",
    "build_number": 0,
    "constrains": [
      "bitsandbytes >=0.45.2,<0.47.0",
      "rich >=12.3.0",
      "omegaconf >=2.2.3",
      "matplotlib-base >3.1",
      "tensorboardX >=2.2",
      "jsonargparse >=4.39.0",
      "hydra-core >=1.2.0"
    ],
    "depends": [
      "fsspec >=2022.5.0",
      "libtorch >=2.12.0,<2.13.0a0",
      "lightning-utilities >=0.10.0",
      "packaging >=23.0",
      "python >=3.11,<3.12.0a0",
      "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": "2944460db46219e0efbc1651221e4bce",
    "name": "pytorch-lightning",
    "sha256": "b42511cae54f2fa6f3c81ddacab777a3aca084eaec43eb2de4497636f5396c33",
    "size": 1384473,
    "subdir": "linux-64",
    "timestamp": 1784643586399,
    "version": "2.6.5"
  },
  "s3": "builds/ci/prefect/M7uhoCFDQPega4-3UCwR0A/1784644814/linux-64/pytorch-lightning-2.6.5-py311hf90cdd8_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "a98f0024b1e043d659572992ae0c4fcb2b24d0e9b371b870c9960440a75c5aac3c761b039b66c4555b996d4c68e6d1dacdf597bec64ab30dab134737f69bc90e"
  }
}