{
  "repodata": {
    "build": "py310hf90cdd8_0",
    "build_number": 0,
    "constrains": [
      "matplotlib-base >3.1",
      "bitsandbytes >=0.45.2,<0.47.0",
      "rich >=12.3.0",
      "omegaconf >=2.2.3",
      "hydra-core >=1.2.0",
      "tensorboardX >=2.2",
      "jsonargparse >=4.39.0"
    ],
    "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": "529c647d242bd296f77bae3ae679369d",
    "name": "pytorch-lightning",
    "sha256": "bf5efd89b1b41de6aa5390d070c7442ae5fca72d14c05abcc773a8a53c9dcc44",
    "size": 910573,
    "subdir": "linux-64",
    "timestamp": 1784643579518,
    "version": "2.6.5"
  },
  "s3": "builds/ci/prefect/M7uhoCFDQPega4-3UCwR0A/1784644814/linux-64/pytorch-lightning-2.6.5-py310hf90cdd8_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "79bd4581413c4ba22825ab9d3d6228647eb825e68022a36013b767370776d834f1445640e0094f96c769159504e45e3fa1749220ff04888f646acde4ae95a403"
  }
}