diff --git a/.flake8 b/.flake8 index 3e2b2d9f..7601ebfd 100644 --- a/.flake8 +++ b/.flake8 @@ -1,6 +1,6 @@ [flake8] max-line-length = 88 -extend-ignore = E203 +extend-ignore = E203, E501 per-file-ignores = # imported but unused __init__.py: F401 \ No newline at end of file diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml index 8bf77a0f..c9593c89 100644 --- a/.github/workflows/test.yaml +++ b/.github/workflows/test.yaml @@ -12,12 +12,33 @@ jobs: poetry-version: "1.2.2" - run: poetry run pytest tests -m "not integration" + legacy-unit: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v3 + - uses: ./.github/actions/install-poetry + with: + poetry-version: "1.2.2" + - run: poetry run pip install "pytorch-lightning<2.0.0" + - run: poetry run pytest tests -m "not integration" + integration: runs-on: ubuntu-latest - needs: [unit] + needs: [ legacy-unit ] steps: - uses: actions/checkout@v3 - uses: ./.github/actions/install-poetry with: poetry-version: "1.2.2" - run: poetry run pytest tests -m integration + + legacy-integration: + runs-on: ubuntu-latest + needs: [ legacy-unit ] + steps: + - uses: actions/checkout@v3 + - uses: ./.github/actions/install-poetry + with: + poetry-version: "1.2.2" + - run: poetry run pip install "pytorch-lightning<2.0.0" + - run: poetry run pytest tests -m integration \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index 71f4e1a0..1651aa90 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,10 +1,9 @@ -# This file is automatically @generated by Poetry and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. 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"2511bee4f4f23613c92e7d9ca971e8baa6869db728565b6033effdcdc7642d43" +content-hash = "4983b2cc34da2fb4a75bb15d48a1227ce635040e1da10e2d9c7aec265651725d" diff --git a/pyproject.toml b/pyproject.toml index dc968bfd..f69e9853 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15,8 +15,8 @@ packages = [{include = "rul_adapt"}] [tool.poetry.dependencies] python = "^3.8" -pytorch-lightning = "^1.8.0.post1" -rul-datasets = ">=0.10.5" +pytorch-lightning = ">1.8.0.post1" +rul-datasets = ">=0.14.0" tqdm = "^4.62.2" hydra-core = "^1.3.1" pywavelets = "^1.4.1" @@ -34,7 +34,7 @@ pytest-mock = "^3.10.0" optional = true [tool.poetry.group.docs.dependencies] -mkdocstrings = {extras = ["python"], version = "^0.22.0"} +mkdocstrings = {extras = ["python"], version = "^0.24.0"} mkdocs-gen-files = "^0.5.0" mkdocs-literate-nav = "^0.5.0" mkdocs-section-index = "^0.3.4" diff --git a/rul_adapt/approach/adarul.py b/rul_adapt/approach/adarul.py index 66a700f1..9ef3e3cf 100644 --- a/rul_adapt/approach/adarul.py +++ b/rul_adapt/approach/adarul.py @@ -10,7 +10,7 @@ https://doi.org/10.1109/ICPHM49022.2020.9187053) and evaluated on the CMAPSS dataset.""" import copy -from typing import Optional, Any, List, Dict, Literal +from typing import Optional, Any, List, Literal import torch from torch import nn @@ -154,7 +154,7 @@ def domain_disc(self): else: raise RuntimeError("Domain disc used before 'set_model' was called.") - def configure_optimizers(self) -> List[Dict[str, Any]]: + def configure_optimizers(self) -> List[utils.OptimizerLRSchedulerConfig]: # type: ignore[override] """Configure an optimizer for the generator and discriminator respectively.""" return [ self._get_optimizer(self.domain_disc.parameters()), @@ -196,12 +196,12 @@ def training_step(self, batch: List[torch.Tensor], batch_idx: int) -> torch.Tens self._reset_update_counters() if self._should_update_disc(): - optim, _ = self.optimizers() # type: ignore[misc] + optim, _ = self.optimizers() # type: ignore[attr-defined, misc] loss = self._get_disc_loss(source, target) self.log("train/disc_loss", loss) self._disc_counter += 1 elif self._should_update_gen(): - _, optim = self.optimizers() # type: ignore[misc] + _, optim = self.optimizers() # type: ignore[attr-defined, misc] loss = self._get_gen_loss(target) self.log("train/gen_loss", loss) self._gen_counter += 1 diff --git a/rul_adapt/approach/conditional.py b/rul_adapt/approach/conditional.py index 6b0b375c..d012176b 100644 --- a/rul_adapt/approach/conditional.py +++ b/rul_adapt/approach/conditional.py @@ -9,7 +9,7 @@ [Cheng et al.](https://doi.org/10.1007/s10845-021-01814-y) in 2021.""" from copy import deepcopy -from typing import List, Tuple, Literal, Optional, Any, Dict +from typing import List, Tuple, Literal, Optional, Any import torch from torch import nn @@ -19,6 +19,7 @@ from rul_adapt.approach.abstract import AdaptionApproach from rul_adapt.approach.evaluation import AdaptionEvaluator from rul_adapt.model import FullyConnectedHead +from rul_adapt.utils import OptimizerLRSchedulerConfig class ConditionalMmdApproach(AdaptionApproach): @@ -104,7 +105,7 @@ def __init__( def fuzzy_sets(self) -> List[Tuple[float, float]]: return self.conditional_mmd_loss.fuzzy_sets - def configure_optimizers(self) -> Dict[str, Any]: + def configure_optimizers(self) -> OptimizerLRSchedulerConfig: """Configure an Adam optimizer.""" return self._get_optimizer(self.parameters()) @@ -333,7 +334,7 @@ def _check_domain_disc(self, domain_disc: Optional[nn.Module]) -> nn.Module: def domain_disc(self) -> nn.Module: return self.dann_loss.domain_disc - def configure_optimizers(self) -> Dict[str, Any]: + def configure_optimizers(self) -> utils.OptimizerLRSchedulerConfig: """Configure an Adam optimizer.""" return self._get_optimizer(self.parameters()) diff --git a/rul_adapt/approach/consistency.py b/rul_adapt/approach/consistency.py index 2b0156fa..59a8d77f 100644 --- a/rul_adapt/approach/consistency.py +++ b/rul_adapt/approach/consistency.py @@ -27,7 +27,7 @@ import copy import math from itertools import chain -from typing import Optional, Any, List, Tuple, Dict, Literal +from typing import Optional, Any, List, Tuple, Literal import numpy as np import torch @@ -183,7 +183,7 @@ def dann_factor(self): """ return 2 / (1 + math.exp(-10 * self.current_epoch / self.max_epochs)) - 1 - def configure_optimizers(self) -> Dict[str, Any]: + def configure_optimizers(self) -> utils.OptimizerLRSchedulerConfig: """Configure an optimizer to train the feature extractor, regressor and domain discriminator.""" parameters = chain( diff --git a/rul_adapt/approach/dann.py b/rul_adapt/approach/dann.py index a940687c..241b70c5 100644 --- a/rul_adapt/approach/dann.py +++ b/rul_adapt/approach/dann.py @@ -25,7 +25,7 @@ [10.1109/ICPHM49022.2020.9187058](https://doi.org/10.1109/ICPHM49022.2020.9187058) """ -from typing import Any, Optional, Dict, Literal, List +from typing import Any, Optional, Literal, List import torch from torch import nn @@ -163,7 +163,7 @@ def domain_disc(self): else: raise RuntimeError("Domain disc used before 'set_model' was called.") - def configure_optimizers(self) -> Dict[str, Any]: + def configure_optimizers(self) -> utils.OptimizerLRSchedulerConfig: """Configure an optimizer for the whole model.""" return self._get_optimizer(self.parameters()) diff --git a/rul_adapt/approach/latent_align.py b/rul_adapt/approach/latent_align.py index 3cd07c54..eed7391a 100644 --- a/rul_adapt/approach/latent_align.py +++ b/rul_adapt/approach/latent_align.py @@ -24,7 +24,7 @@ [rul_adapt.approach.latent_align.LatentAlignFttpApproach] introduced by [Li et al.]( https://doi.org/10.1016/j.knosys.2020.105843) in 2020.""" -from typing import Tuple, List, Any, Optional, Literal, Dict +from typing import Tuple, List, Any, Optional, Literal import numpy as np import torch @@ -35,6 +35,7 @@ from rul_adapt import utils from rul_adapt.approach.abstract import AdaptionApproach from rul_adapt.approach.evaluation import AdaptionEvaluator +from rul_adapt.utils import OptimizerLRSchedulerConfig class LatentAlignFttpApproach(AdaptionApproach): @@ -134,7 +135,7 @@ def generator(self): else: raise RuntimeError("Generator used before 'set_model' was called.") - def configure_optimizers(self) -> Dict[str, Any]: + def configure_optimizers(self) -> OptimizerLRSchedulerConfig: """Configure an optimizer for the generator and discriminator.""" return self._get_optimizer(self.parameters()) @@ -397,7 +398,7 @@ def __init__( self.save_hyperparameters() - def configure_optimizers(self) -> Dict[str, Any]: + def configure_optimizers(self) -> utils.OptimizerLRSchedulerConfig: """Configure an optimizer.""" optim = self._get_optimizer(self.parameters()) diff --git a/rul_adapt/approach/mmd.py b/rul_adapt/approach/mmd.py index ad7a7a36..a9843150 100644 --- a/rul_adapt/approach/mmd.py +++ b/rul_adapt/approach/mmd.py @@ -25,7 +25,7 @@ [10.1109/ICPHM49022.2020.9187058](https://doi.org/10.1109/ICPHM49022.2020.9187058) """ -from typing import List, Literal, Any, Dict +from typing import List, Literal, Any import torch @@ -99,7 +99,7 @@ def __init__( self.save_hyperparameters() - def configure_optimizers(self) -> Dict[str, Any]: + def configure_optimizers(self) -> utils.OptimizerLRSchedulerConfig: """Configure an optimizer.""" return self._get_optimizer(self.parameters()) diff --git a/rul_adapt/approach/supervised.py b/rul_adapt/approach/supervised.py index 2358cf8b..a57a811b 100644 --- a/rul_adapt/approach/supervised.py +++ b/rul_adapt/approach/supervised.py @@ -6,7 +6,7 @@ ``` """ -from typing import Literal, Any, Dict, List +from typing import Literal, Any, List import torch import torchmetrics @@ -78,7 +78,7 @@ def __init__( self.save_hyperparameters() - def configure_optimizers(self) -> Dict[str, Any]: + def configure_optimizers(self) -> utils.OptimizerLRSchedulerConfig: return self._get_optimizer(self.parameters()) def forward(self, inputs: torch.Tensor) -> torch.Tensor: diff --git a/rul_adapt/utils.py b/rul_adapt/utils.py index c302bebe..881a3066 100644 --- a/rul_adapt/utils.py +++ b/rul_adapt/utils.py @@ -1,11 +1,17 @@ import warnings from itertools import tee -from typing import Union, Callable, Literal, Any, Dict, Optional, Iterable +from typing import Union, Callable, Literal, Any, Optional, Iterable +import pytorch_lightning import torch import torchmetrics from torch import nn +if pytorch_lightning.__version__.startswith("2."): + from pytorch_lightning.utilities.types import OptimizerLRSchedulerConfig # type: ignore +else: + OptimizerLRSchedulerConfig = dict # type: ignore + def pairwise(iterable): """s -> (s0,s1), (s1,s2), (s2, s3), ...""" @@ -109,7 +115,9 @@ def _is_excess_kwarg(key: str) -> bool: f"will be ignored: {excess_kwargs}." ) - def __call__(self, parameters: Iterable[nn.Parameter]) -> Dict[str, Any]: + def __call__( + self, parameters: Iterable[nn.Parameter] + ) -> OptimizerLRSchedulerConfig: """ Create an optimizer with an optional scheduler for the given parameters. @@ -128,7 +136,7 @@ def __call__(self, parameters: Iterable[nn.Parameter]) -> Dict[str, Any]: if key.startswith("optim_") } optim = self._optim_func(parameters, lr=self.lr, **optim_kwargs) - optim_config = {"optimizer": optim} + optim_config = OptimizerLRSchedulerConfig(optimizer=optim) if self.scheduler_type is not None: scheduler_kwargs = { diff --git a/tests/test_approach/test_evaluation.py b/tests/test_approach/test_evaluation.py index 21f87498..341532eb 100644 --- a/tests/test_approach/test_evaluation.py +++ b/tests/test_approach/test_evaluation.py @@ -28,8 +28,8 @@ def validation_step(self, batch, batch_idx, dataloader_idx): domain = "source" if dataloader_idx == 0 else "target" self.evaluator.validation(batch, domain) - def test_step(self, batch, batch_idx, data_loader_idx): - domain = "source" if data_loader_idx == 0 else "target" + def test_step(self, batch, batch_idx, dataloader_idx): + domain = "source" if dataloader_idx == 0 else "target" self.evaluator.test(batch, domain)