python311Packages.torchsnapshot: init at 0.1.0

{

  lib,

  buildPythonPackage,

  pythonOlder,

  fetchFromGitHub,

  setuptools,

  wheel,

  aiofiles,

  aiohttp,

  importlib-metadata,

  nest-asyncio,

  psutil,

  pyyaml,

  torch,

  typing-extensions,

  pytest-asyncio,

  pytestCheckHook,

  pythonAtLeast,

  stdenv,

}:

buildPythonPackage rec {

  pname = "torchsnapshot";

  version = "0.1.0";

  pyproject = true;

  disabled = pythonOlder "3.7";

  src = fetchFromGitHub {

    owner = "pytorch";

    repo = "torchsnapshot";

    rev = "refs/tags/${version}";

    hash = "sha256-F8OaxLH8BL6MPNLFv1hBuVmeEdnEQ5w2Qny6by1wP6k=";

  };

  build-system = [

    setuptools

    wheel

  ];

  dependencies = [

    aiofiles

    aiohttp

    importlib-metadata

    nest-asyncio

    psutil

    pyyaml

    torch

    typing-extensions

  ];

  pythonImportsCheck = [ "torchsnapshot" ];

  nativeCheckInputs = [

    pytest-asyncio

    pytestCheckHook

  ];

  meta = with lib; {

    description = "A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind";

    homepage = "https://github.com/pytorch/torchsnapshot/";

    changelog = "https://github.com/pytorch/torchsnapshot/releases/tag/${version}";

    license = licenses.bsd3;

    maintainers = with maintainers; [ GaetanLepage ];

    broken =

      # https://github.com/pytorch/torchsnapshot/issues/175

      pythonAtLeast "3.12"

      # ModuleNotFoundError: No module named 'torch._C._distributed_c10d'; 'torch._C' is not a package

      || stdenv.isDarwin;

  };

}

    openai-triton = self.openai-triton-bin;

  };

  torchsnapshot = callPackage ../development/python-modules/torchsnapshot { };

  torchWithCuda = self.torch.override {

    openai-triton = self.openai-triton-cuda;

    cudaSupport = true;