141 lines
5.5 KiB
TOML
141 lines
5.5 KiB
TOML
[build-system]
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requires = [
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"setuptools",
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"wheel",
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]
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[tool.isort]
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known_first_party = [
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"docs",
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"pl_examples",
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"pytorch_lightning",
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"tests",
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]
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profile = "black"
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line_length = 120
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force_sort_within_sections = "False"
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order_by_type = "False"
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[tool.black]
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line-length = 120
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[tool.mypy]
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files = ["pytorch_lightning"]
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disallow_untyped_defs = "True"
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ignore_missing_imports = "True"
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show_error_codes = "True"
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warn_redundant_casts = "True"
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warn_unused_configs = "True"
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warn_unused_ignores = "True"
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allow_redefinition = "True"
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# disable this rule as the Trainer attributes are defined in the connectors, not in its __init__
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disable_error_code = "attr-defined"
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# style choices
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warn_no_return = "False"
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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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# 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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"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.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.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.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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ignore_errors = "True"
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