mirror of
https://github.com/wassname/pytorch-lightning.git
synced 2026-09-21 13:20:08 +08:00
Ethan Harris
2b3f443f6b
* Add support for IterableDatasets everywhere * Added type hints, simplified code and improved coverage in data_loading.py * Update CHANGELOG.md
57 lines
1.7 KiB
Python
57 lines
1.7 KiB
Python
"""Models for testing."""
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import torch
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from .base import TestModelBase, DictHparamsModel
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from .mixins import (
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LightEmptyTestStep,
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LightValidationStepMixin,
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LightValidationMixin,
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LightValidationStepMultipleDataloadersMixin,
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LightValidationMultipleDataloadersMixin,
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LightTestStepMixin,
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LightTestMixin,
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LightTestStepMultipleDataloadersMixin,
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LightTestMultipleDataloadersMixin,
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LightTestFitSingleTestDataloadersMixin,
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LightTestFitMultipleTestDataloadersMixin,
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LightValStepFitSingleDataloaderMixin,
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LightValStepFitMultipleDataloadersMixin,
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LightTrainDataloader,
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LightTestDataloader,
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LightInfTrainDataloader,
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LightInfValDataloader,
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LightInfTestDataloader,
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LightTestOptimizerWithSchedulingMixin,
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LightTestMultipleOptimizersWithSchedulingMixin,
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LightTestOptimizersWithMixedSchedulingMixin
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)
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class LightningTestModel(LightTrainDataloader,
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LightValidationMixin,
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LightTestMixin,
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TestModelBase):
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"""Most common test case. Validation and test dataloaders."""
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def on_training_metrics(self, logs):
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logs['some_tensor_to_test'] = torch.rand(1)
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class LightningTestModelWithoutHyperparametersArg(LightningTestModel):
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""" without hparams argument in constructor """
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def __init__(self):
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import tests.models.utils as tutils
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# the user loads the hparams in some other way
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hparams = tutils.get_hparams()
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super().__init__(hparams)
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class LightningTestModelWithUnusedHyperparametersArg(LightningTestModelWithoutHyperparametersArg):
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""" has hparams argument in constructor but is not used """
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def __init__(self, hparams):
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super().__init__()
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