Rooba
/
lightning
mirror of https://github.com/Lightning-AI/lightning.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Be explicit with mypy ignores (#10751) 

* Ignore mypy only for failing files

* Comment
This commit is contained in:
Carlos Mocholí 2021-11-25 11:27:13 +01:00 committed by GitHub
parent 85d7c4dce4
commit b57feccbff
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 102 additions and 36 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

138
pyproject.toml
View File

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