{
  "repodata": {
    "build": "py312hd5d4913_0",
    "build_number": 0,
    "constrains": [
      "hydra-core >=1.2.0",
      "rich >=12.3.0",
      "tensorboardX >=2.2",
      "jsonargparse >=4.39.0",
      "omegaconf >=2.2.3",
      "matplotlib-base >3.1",
      "bitsandbytes >=0.45.2,<0.47.0"
    ],
    "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": "80b0df5faf6eae66e7dfde713764e5eb",
    "name": "pytorch-lightning",
    "sha256": "97a4c2c05ed5cec31acf6968b4a021f82bfb0fe1be482f74c79bc19b4d3e4baa",
    "size": 1141561,
    "subdir": "win-64",
    "timestamp": 1784644024997,
    "version": "2.6.5"
  },
  "s3": "builds/ci/prefect/M7uhoCFDQPega4-3UCwR0A/1784644808/win-64/pytorch-lightning-2.6.5-py312hd5d4913_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "c6c2a5b63b23ebc7ddefdf54529a8b2e0708ed5ee75eb597f9a32140579f28d66f6ead78349599e24f58e7ce63339fe17cf4fb8c3657d0b140acfab3f7388207"
  }
}