55 lines
1.5 KiB
Nix
55 lines
1.5 KiB
Nix
{
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stdenv,
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lib,
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buildPythonPackage,
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fetchFromGitHub,
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setuptools,
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pythonOlder,
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pytestCheckHook,
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torch,
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pytorch-lightning,
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}:
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buildPythonPackage rec {
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pname = "finetuning-scheduler";
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version = "2.3.3";
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pyproject = true;
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disabled = pythonOlder "3.8";
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src = fetchFromGitHub {
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owner = "speediedan";
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repo = "finetuning-scheduler";
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rev = "refs/tags/v${version}";
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hash = "sha256-Nci+NcfcaZV3NH3MTCyr8PwPdDykJTdq8+CmtngWdiM=";
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};
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build-system = [ setuptools ];
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dependencies = [
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pytorch-lightning
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torch
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];
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# needed while lightning is installed as package `pytorch-lightning` rather than`lightning`:
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env.PACKAGE_NAME = "pytorch";
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nativeCheckInputs = [ pytestCheckHook ];
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pytestFlagsArray = [ "tests" ];
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disabledTests = lib.optionals (stdenv.isAarch64 && stdenv.isLinux) [
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# slightly exceeds numerical tolerance on aarch64-linux:
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"test_fts_frozen_bn_track_running_stats"
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];
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pythonImportsCheck = [ "finetuning_scheduler" ];
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meta = {
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description = "PyTorch Lightning extension for foundation model experimentation with flexible fine-tuning schedules";
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homepage = "https://finetuning-scheduler.readthedocs.io";
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changelog = "https://github.com/speediedan/finetuning-scheduler/blob/${src.rev}/CHANGELOG.md";
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license = lib.licenses.asl20;
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maintainers = with lib.maintainers; [ bcdarwin ];
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# "No module named 'torch._C._distributed_c10d'; 'torch._C' is not a package" at import time:
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broken = stdenv.isDarwin;
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};
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}
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