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{
lib,
stdenv,
buildPythonPackage,
fetchFromGitHub,
fetchpatch,
# build-system
setuptools,
# dependencies
addict,
distutils,
matplotlib,
numpy,
opencv4,
pyyaml,
rich,
termcolor,
yapf,
# tests
bitsandbytes,
dvclive,
lion-pytorch,
lmdb,
mlflow,
parameterized,
pytestCheckHook,
transformers,
writableTmpDirAsHomeHook,
}:
buildPythonPackage rec {
pname = "mmengine";
version = "0.10.7";
pyproject = true;
src = fetchFromGitHub {
owner = "open-mmlab";
repo = "mmengine";
tag = "v${version}";
hash = "sha256-hQnwenuxHQwl+DwQXbIfsKlJkmcRvcHV1roK7q2X1KA=";
};
patches = [
# Explicitly disable weights_only in torch.load calls
# https://github.com/open-mmlab/mmengine/pull/1650
(fetchpatch {
name = "torch-2.6.0-compat.patch";
url = "https://github.com/open-mmlab/mmengine/pull/1650/commits/c21b8431b2c625560a3866c65328cff0380ba1f8.patch";
hash = "sha256-SLr030IdYD9wM/jPJuZd+Dr1jjFx/5/YkJj/IwhnNQg=";
})
];
postPatch =
# Fails in python >= 3.13
# exec(compile(f.read(), version_file, "exec")) does not populate the locals() namesp
# In python 3.13, the locals() dictionary in a function does not automatically update with
# changes made by exec().
# https://peps.python.org/pep-0558/
''
substituteInPlace setup.py \
--replace-fail \
"return locals()['__version__']" \
"return '${version}'"
''
+ ''
substituteInPlace tests/test_config/test_lazy.py \
--replace-fail "import numpy.compat" ""
'';
build-system = [ setuptools ];
dependencies = [
addict
distutils
matplotlib
numpy
opencv4
pyyaml
rich
termcolor
yapf
];
pythonImportsCheck = [ "mmengine" ];
nativeCheckInputs = [
bitsandbytes
dvclive
lion-pytorch
lmdb
mlflow
parameterized
pytestCheckHook
transformers
writableTmpDirAsHomeHook
];
preCheck =
# Otherwise, the backprop hangs forever. More precisely, this exact line:
# https://github.com/open-mmlab/mmengine/blob/02f80e8bdd38f6713e04a872304861b02157905a/tests/test_runner/test_activation_checkpointing.py#L46
# Solution suggested in https://github.com/pytorch/pytorch/issues/91547#issuecomment-1370011188
''
export MKL_NUM_THREADS=1
'';
disabledTestPaths = [
# Require unpackaged aim
"tests/test_visualizer/test_vis_backend.py::TestAimVisBackend"
# Cannot find SSL certificate
# _pygit2.GitError: OpenSSL error: failed to load certificates: error:00000000:lib(0)::reason(0)
"tests/test_visualizer/test_vis_backend.py::TestDVCLiveVisBackend"
# AttributeError: type object 'MagicMock' has no attribute ...
"tests/test_fileio/test_backends/test_petrel_backend.py::TestPetrelBackend"
]
++ lib.optionals stdenv.hostPlatform.isDarwin [
# RuntimeError: attempt to insert nil object from objects[1]
"tests/test_visualizer/test_visualizer.py::TestVisualizer::test_draw_featmap"
"tests/test_visualizer/test_visualizer.py::TestVisualizer::test_show"
# AssertionError: torch.bfloat16 != torch.float32
"tests/test_runner/test_amp.py::TestAmp::test_autocast"
# ValueError: User specified autocast device_type must be cuda or cpu, but got mps
"tests/test_runner/test_runner.py::TestRunner::test_test"
"tests/test_runner/test_runner.py::TestRunner::test_val"
# Fails in pytestCheckHook due to multiple copies accessing the same resources (nixpkgs-review
"tests/test_hooks/test_ema_hook.py::TestEMAHook::test_after_test_epoch"
"tests/test_hooks/test_ema_hook.py::TestEMAHook::test_after_val_epoch"
"tests/test_hooks/test_ema_hook.py::TestEMAHook::test_before_test_epoch"
"tests/test_hooks/test_ema_hook.py::TestEMAHook::test_before_val_epoch"
"tests/test_infer/test_infer.py"
"tests/test_runner/test_runner.py::TestRunner::test_checkpoint"
# torch.distributed.DistNetworkError: [...] message: address already in use
# Happens in nixpkgs-review due to the lack of network namespacing
# Note: These all worked fine in nix-build
"tests/test_dist/test_dist.py"
"tests/test_dist/test_utils.py" # fails in _init_dist_env
"tests/test_hooks/test_sync_buffers_hook.py::TestSyncBuffersHook::test_sync_buffers_hook"
"tests/test_model/test_model_utils.py::test_is_model_wrapper"
"tests/test_model/test_wrappers/test_model_wrapper.py::TestDistributedDataParallel"
"tests/test_optim/test_optimizer/test_optimizer.py::TestZeroOptimizer::test_zero_redundancy_optimizer"
"tests/test_runner/test_runner.py::TestRunner::test_custom_loop"
"tests/test_runner/test_runner.py::TestRunner::test_default_scope"
"tests/test_runner/test_runner.py::TestRunner::test_init"
"tests/test_runner/test_runner.py::TestRunner::test_train"
"tests/test_optim/test_optimizer/test_optimizer_wrapper.py::TestOptimWrapper::test_optim_context"
"tests/test_testing/test_runner_test_case.py"
# TypeError: 'BaseDataset' object is not callable
"tests/test_dataset/test_base_dataset.py::TestBaseDataset::test_get_subset[False-True]"
];
disabledTests = [
# Require network access
"test_fileclient"
"test_http_backend"
"test_misc"
# RuntimeError
"test_dump"
"test_deepcopy"
"test_copy"
"test_lazy_import"
# AssertionError: os is not <module 'os' (frozen)>
"test_lazy_module"
]
++ lib.optionals stdenv.hostPlatform.isDarwin [
# Fails when max-jobs is set to use fewer processes than cores
# for example `AssertionError: assert 14 == 4`
"test_setup_multi_processes"
# Crashes in pytestCheckHook due to MPS incompatibility in torch
"test_with_runner"
];
meta = {
description = "Library for training deep learning models based on PyTorch";
homepage = "https://github.com/open-mmlab/mmengine";
changelog = "https://github.com/open-mmlab/mmengine/releases/tag/v${version}";
license = with lib.licenses; [ asl20 ];
maintainers = with lib.maintainers; [ rxiao ];
};
}
|
