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pytorch-lightning
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Complexity
Churn
Issues
A
.github\workflows\ci_test-conda.yml
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tests\models\test_sync_batchnorm.py
10 4 1
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tests\models\test_hparams.py
51 4 2
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tests\base\model_train_dataloaders.py
6 4 -
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tests\models\test_grad_norm.py
14 4 -
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tests\base\__init__.py
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tests\models\test_torchscript.py
12 4 -
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tests\checkpointing\test_checkpoint_callback_frequency.py
3 4 -
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pytorch_lightning\core\datamodule.py
51 4 1
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pytorch_lightning\tuner\lr_finder.py
51 4 1
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pytorch_lightning\trainer\trainer.py
120 4 1
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tests\models\test_amp.py
8 4 -
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pytorch_lightning\trainer\data_loading.py
79 4 1
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dockers\base-conda\Dockerfile
 4 4
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tests\helpers\pipelines.py
17 4 1
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tests\core\test_memory.py
21 4 -
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tests\helpers\simple_models.py
14 4 -
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tests\core\test_lightning_module.py
10 4 -
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pytorch_lightning\trainer\connectors\logger_connector\logger_connector.py
133 4 2
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tests\trainer\test_data_loading.py
12 4 -