Be explicit with mypy ignores (#10751)
* Ignore mypy only for failing files * Comment
This commit is contained in:
Carlos Mocholí
GitHub
parent
85d7c4dce4
commit
b57feccbff
138
pyproject.toml
138
pyproject.toml
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@ -37,43 +37,109 @@ disable_error_code = "attr-defined"
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warn_no_return = "False"
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warn_no_return = "False"
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# Changes mypy default to ignore all errors
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# Changes mypy default to ignore all errors
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# TODO: the goal is for this to be empty
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[[tool.mypy.overrides]]
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[[tool.mypy.overrides]]
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# the list can be generated with:
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# mypy | tr ':' ' ' | awk '{print $1}' | sort | uniq | sed 's/\.py//g' | sed 's|\/|\.|g' | xargs -I {} echo '"{}",'
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module = [
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module = [
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"pytorch_lightning.*",
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"pytorch_lightning.accelerators.accelerator",
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"pytorch_lightning.accelerators.gpu",
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"pytorch_lightning.callbacks.finetuning",
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"pytorch_lightning.callbacks.lr_monitor",
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"pytorch_lightning.callbacks.model_checkpoint",
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"pytorch_lightning.callbacks.prediction_writer",
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"pytorch_lightning.callbacks.progress.base",
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"pytorch_lightning.callbacks.progress.progress",
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"pytorch_lightning.callbacks.progress.rich_progress",
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"pytorch_lightning.callbacks.progress.tqdm_progress",
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"pytorch_lightning.callbacks.quantization",
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"pytorch_lightning.callbacks.stochastic_weight_avg",
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"pytorch_lightning.callbacks.timer",
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"pytorch_lightning.callbacks.xla_stats_monitor",
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"pytorch_lightning.core.datamodule",
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"pytorch_lightning.core.decorators",
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"pytorch_lightning.core.lightning",
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"pytorch_lightning.core.mixins.device_dtype_mixin",
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"pytorch_lightning.core.mixins.hparams_mixin",
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"pytorch_lightning.core.saving",
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"pytorch_lightning.distributed.dist",
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"pytorch_lightning.lite.lite",
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"pytorch_lightning.lite.wrappers",
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"pytorch_lightning.loggers.base",
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"pytorch_lightning.loggers.comet",
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"pytorch_lightning.loggers.csv_logs",
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"pytorch_lightning.loggers.mlflow",
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"pytorch_lightning.loggers.neptune",
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"pytorch_lightning.loggers.tensorboard",
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"pytorch_lightning.loggers.test_tube",
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"pytorch_lightning.loggers.wandb",
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"pytorch_lightning.loops.base",
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"pytorch_lightning.loops.batch.training_batch_loop",
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"pytorch_lightning.loops.dataloader.dataloader_loop",
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"pytorch_lightning.loops.dataloader.evaluation_loop",
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"pytorch_lightning.loops.dataloader.prediction_loop",
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"pytorch_lightning.loops.epoch.evaluation_epoch_loop",
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"pytorch_lightning.loops.epoch.prediction_epoch_loop",
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"pytorch_lightning.loops.epoch.training_epoch_loop",
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"pytorch_lightning.loops.fit_loop",
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"pytorch_lightning.loops.optimization.optimizer_loop",
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"pytorch_lightning.loops.utilities",
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"pytorch_lightning.overrides.base",
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"pytorch_lightning.overrides.data_parallel",
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"pytorch_lightning.overrides.distributed",
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"pytorch_lightning.overrides.fairscale",
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"pytorch_lightning.plugins.environments.lightning_environment",
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"pytorch_lightning.plugins.environments.lsf_environment",
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"pytorch_lightning.plugins.environments.slurm_environment",
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"pytorch_lightning.plugins.environments.torchelastic_environment",
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"pytorch_lightning.plugins.precision.deepspeed",
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"pytorch_lightning.plugins.precision.native_amp",
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"pytorch_lightning.plugins.precision.precision_plugin",
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"pytorch_lightning.plugins.training_type.ddp",
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"pytorch_lightning.plugins.training_type.ddp2",
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"pytorch_lightning.plugins.training_type.ddp_spawn",
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"pytorch_lightning.plugins.training_type.deepspeed",
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"pytorch_lightning.plugins.training_type.dp",
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"pytorch_lightning.plugins.training_type.fully_sharded",
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"pytorch_lightning.plugins.training_type.horovod",
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"pytorch_lightning.plugins.training_type.ipu",
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"pytorch_lightning.plugins.training_type.parallel",
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"pytorch_lightning.plugins.training_type.sharded",
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"pytorch_lightning.plugins.training_type.sharded_spawn",
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"pytorch_lightning.plugins.training_type.single_device",
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"pytorch_lightning.plugins.training_type.single_tpu",
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"pytorch_lightning.plugins.training_type.tpu_spawn",
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"pytorch_lightning.plugins.training_type.training_type_plugin",
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"pytorch_lightning.profiler.advanced",
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"pytorch_lightning.profiler.base",
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"pytorch_lightning.profiler.pytorch",
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"pytorch_lightning.profiler.simple",
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"pytorch_lightning.trainer.callback_hook",
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"pytorch_lightning.trainer.configuration_validator",
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"pytorch_lightning.trainer.connectors.accelerator_connector",
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"pytorch_lightning.trainer.connectors.callback_connector",
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"pytorch_lightning.trainer.connectors.checkpoint_connector",
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"pytorch_lightning.trainer.connectors.data_connector",
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"pytorch_lightning.trainer.connectors.logger_connector.result",
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"pytorch_lightning.trainer.data_loading",
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"pytorch_lightning.trainer.optimizers",
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"pytorch_lightning.trainer.supporters",
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"pytorch_lightning.trainer.trainer",
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"pytorch_lightning.tuner.batch_size_scaling",
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"pytorch_lightning.tuner.lr_finder",
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"pytorch_lightning.tuner.tuning",
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"pytorch_lightning.utilities.auto_restart",
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"pytorch_lightning.utilities.data",
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"pytorch_lightning.utilities.deepspeed",
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"pytorch_lightning.utilities.distributed",
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"pytorch_lightning.utilities.enums",
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"pytorch_lightning.utilities.fetching",
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"pytorch_lightning.utilities.imports",
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"pytorch_lightning.utilities.memory",
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"pytorch_lightning.utilities.meta",
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"pytorch_lightning.utilities.metrics",
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"pytorch_lightning.utilities.migration",
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"pytorch_lightning.utilities.upgrade_checkpoint",
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"pytorch_lightning.utilities.warnings",
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]
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]
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ignore_errors = "True"
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ignore_errors = "True"
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# Override the default for files where we would like to enable type checking
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# TODO: Bring more files into this section
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[[tool.mypy.overrides]]
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module = [
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"pytorch_lightning.callbacks.device_stats_monitor",
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"pytorch_lightning.callbacks.early_stopping",
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"pytorch_lightning.callbacks.gpu_stats_monitor",
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"pytorch_lightning.callbacks.gradient_accumulation_scheduler",
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"pytorch_lightning.callbacks.model_summary",
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"pytorch_lightning.callbacks.progress",
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"pytorch_lightning.callbacks.pruning",
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"pytorch_lightning.callbacks.rich_model_summary",
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"pytorch_lightning.core.optimizer",
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"pytorch_lightning.loops.optimization.closure.py",
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"pytorch_lightning.loops.optimization.manual_loop.py",
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"pytorch_lightning.loops.evaluation_loop",
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"pytorch_lightning.trainer.connectors.logger_connector.py",
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"pytorch_lightning.trainer.connectors.logger_connector.fx_validator.py",
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"pytorch_lightning.trainer.connectors.signal_connector",
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"pytorch_lightning.trainer.progress.*",
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"pytorch_lightning.tuner.auto_gpu_select",
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"pytorch_lightning.utilities.apply_func",
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"pytorch_lightning.utilities.argparse",
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"pytorch_lightning.utilities.cli",
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"pytorch_lightning.utilities.cloud_io",
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"pytorch_lightning.utilities.device_dtype_mixin",
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"pytorch_lightning.utilities.device_parser",
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"pytorch_lightning.utilities.model_summary",
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"pytorch_lightning.utilities.parameter_tying",
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"pytorch_lightning.utilities.parsing",
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"pytorch_lightning.utilities.seed",
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"pytorch_lightning.utilities.xla_device",
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]
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ignore_errors = "False"
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