{
  "repodata": {
    "build": "py312h309e580_0",
    "build_number": 0,
    "constrains": [
      "jsonargparse >=4.39.0",
      "omegaconf >=2.2.3",
      "hydra-core >=1.2.0",
      "tensorboardX >=2.2",
      "bitsandbytes >=0.45.2,<0.47.0",
      "matplotlib-base >3.1",
      "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 >=3.12,<3.13.0a0",
      "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": "a3381d7a583f1030b8e764334f9d636a",
    "name": "pytorch-lightning",
    "sha256": "3ccf2636d813cd5204a4fce63c75c75d6ab2e958304bc5979b8d8190579cd702",
    "size": 1341308,
    "subdir": "linux-aarch64",
    "timestamp": 1784643582904,
    "version": "2.6.5"
  },
  "s3": "builds/ci/prefect/M7uhoCFDQPega4-3UCwR0A/1784644820/linux-aarch64/pytorch-lightning-2.6.5-py312h309e580_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "8f0daf38d233e5a7fbf6db07f47ea8bcb49f46117712d344c00fce4ce39e03040b91bf2f1643c5d79f36a8f9ff2a5112eaaad17b03447497a49c35ab00d35409"
  }
}