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{
stdenv,
lib,
buildPythonPackage,
fetchFromGitHub,
setuptools,
pythonOlder,
pytestCheckHook,
torch,
pytorch-lightning,
}:
buildPythonPackage rec {
pname = "finetuning-scheduler";
version = "2.4.0";
pyproject = true;
disabled = pythonOlder "3.9";
src = fetchFromGitHub {
owner = "speediedan";
repo = "finetuning-scheduler";
rev = "refs/tags/v${version}";
hash = "sha256-uSFGZseSJv519LpaddO6yP6AsIMZutEA0Y7Yr+mEWTQ=";
};
build-system = [ setuptools ];
dependencies = [
pytorch-lightning
torch
];
# needed while lightning is installed as package `pytorch-lightning` rather than`lightning`:
env.PACKAGE_NAME = "pytorch";
nativeCheckInputs = [ pytestCheckHook ];
pytestFlagsArray = [ "tests" ];
disabledTests =
# torch._dynamo.exc.BackendCompilerFailed: backend='inductor' raised:
# LoweringException: ImportError: cannot import name 'triton_key' from 'triton.compiler.compiler'
lib.optionals (pythonOlder "3.12") [
"test_fts_dynamo_enforce_p0"
"test_fts_dynamo_resume"
"test_fts_dynamo_intrafit"
]
++ lib.optionals (stdenv.isAarch64 && stdenv.isLinux) [
# slightly exceeds numerical tolerance on aarch64-linux:
"test_fts_frozen_bn_track_running_stats"
];
pythonImportsCheck = [ "finetuning_scheduler" ];
meta = {
description = "PyTorch Lightning extension for foundation model experimentation with flexible fine-tuning schedules";
homepage = "https://finetuning-scheduler.readthedocs.io";
changelog = "https://github.com/speediedan/finetuning-scheduler/blob/${src.rev}/CHANGELOG.md";
license = lib.licenses.asl20;
maintainers = with lib.maintainers; [ bcdarwin ];
# "No module named 'torch._C._distributed_c10d'; 'torch._C' is not a package" at import time:
broken = stdenv.isDarwin;
};
}
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