{
  "repodata": {
    "build": "py310h309e580_0",
    "build_number": 0,
    "constrains": [
      "omegaconf >=2.2.3",
      "jsonargparse >=4.39.0",
      "hydra-core >=1.2.0",
      "rich >=12.3.0",
      "tensorboardX >=2.2",
      "bitsandbytes >=0.45.2,<0.47.0",
      "matplotlib-base >3.1"
    ],
    "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": "01c128533c7d1b9b3aa6613b704ac378",
    "name": "pytorch-lightning",
    "sha256": "c136cd90bb5f4530d5cb5cf6557f04d682fe49641fd0e1d8da80e4a2be951453",
    "size": 910599,
    "subdir": "linux-aarch64",
    "timestamp": 1784643582762,
    "version": "2.6.5"
  },
  "s3": "builds/ci/prefect/M7uhoCFDQPega4-3UCwR0A/1784644820/linux-aarch64/pytorch-lightning-2.6.5-py310h309e580_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "993dfa40dfe871dd12c268232f2eadca054fc748c192f3ead9868010001563d655c5431a25869756edf4a312ec119458bc2460ab96f20563a2d2262042a0e404"
  }
}