Revert "refactor and add types"

This reverts commit b4c552f

pytorch_lightning/core/lightning.py

@@ -20,7 +20,7 @@
 from pytorch_lightning.core.memory import ModelSummary
 from pytorch_lightning.core.saving import ModelIO, load_hparams_from_tags_csv
 from pytorch_lightning.overrides.data_parallel import LightningDistributedDataParallel
-from pytorch_lightning.debugging import MisconfigurationException
+from pytorch_lightning.utilities.exceptions import MisconfigurationException
 
 try:
     import torch_xla.core.xla_model as xm

pytorch_lightning/loggers/comet.py

@@ -28,7 +28,7 @@
 
 from pytorch_lightning import _logger as log
 from pytorch_lightning.loggers.base import LightningLoggerBase, rank_zero_only
-from pytorch_lightning.debugging import MisconfigurationException
+from pytorch_lightning.utilities.exceptions import MisconfigurationException
 
 
 class CometLogger(LightningLoggerBase):

pytorch_lightning/debugging/__init__.py → pytorch_lightning/profiling/__init__.py

@@ -113,11 +113,9 @@ def custom_processing_step(self, data):
 
 """
 
-from pytorch_lightning.debugging.exceptions import MisconfigurationException
-from pytorch_lightning.debugging.profilers import BaseProfiler, Profiler, AdvancedProfiler, PassThroughProfiler
+from pytorch_lightning.profiling.profilers import Profiler, AdvancedProfiler, PassThroughProfiler, BaseProfiler
 
 __all__ = [
-    'MisconfigurationException',
     'BaseProfiler',
     'Profiler',
     'AdvancedProfiler',

pytorch_lightning/trainer/__init__.py

@@ -612,15 +612,15 @@ def on_train_end(self):
     # default used by the Trainer
     trainer = Trainer(process_position=0)
 
-profiler
-^^^^^^^^
+profiling
+^^^^^^^^^
 To profile individual steps during training and assist in identifying bottlenecks.
 
 See the `profiler documentation <profiler.rst>`_. for more details.
 
 Example::
 
-    from pytorch_lightning.profiler import Profiler, AdvancedProfiler
+    from pytorch_lightning.profiling import Profiler, AdvancedProfiler
 
     # default used by the Trainer
     trainer = Trainer(profiler=None)

pytorch_lightning/trainer/data_loading.py

@@ -6,7 +6,7 @@
 from torch.utils.data.distributed import DistributedSampler
 
 from pytorch_lightning.core import LightningModule
-from pytorch_lightning.debugging import MisconfigurationException
+from pytorch_lightning.utilities.exceptions import MisconfigurationException
 
 try:
     from apex import amp

pytorch_lightning/trainer/distrib_data_parallel.py

@@ -122,7 +122,7 @@ def train_fx(trial_hparams, cluster_manager, _):
 import torch
 from pytorch_lightning import _logger as log
 from pytorch_lightning.loggers import LightningLoggerBase
-from pytorch_lightning.debugging import MisconfigurationException
+from pytorch_lightning.utilities.exceptions import MisconfigurationException
 
 try:
     from apex import amp

pytorch_lightning/trainer/distrib_parts.py

@@ -344,7 +344,7 @@
     LightningDistributedDataParallel,
     LightningDataParallel,
 )
-from pytorch_lightning.debugging import MisconfigurationException
+from pytorch_lightning.utilities.exceptions import MisconfigurationException
 
 try:
     from apex import amp

pytorch_lightning/trainer/evaluation_loop.py

@@ -135,7 +135,7 @@
 
 from pytorch_lightning.core.lightning import LightningModule
 from pytorch_lightning.overrides.data_parallel import LightningDistributedDataParallel, LightningDataParallel
-from pytorch_lightning.debugging import MisconfigurationException
+from pytorch_lightning.utilities.exceptions import MisconfigurationException
 
 try:
     import torch_xla.distributed.parallel_loader as xla_pl

pytorch_lightning/trainer/trainer.py

@@ -17,8 +17,8 @@
 from pytorch_lightning import _logger as log
 from pytorch_lightning.callbacks import ModelCheckpoint, EarlyStopping, Callback
 from pytorch_lightning.core.lightning import LightningModule
-from pytorch_lightning.debugging import BaseProfiler, Profiler, PassThroughProfiler
 from pytorch_lightning.loggers import LightningLoggerBase
+from pytorch_lightning.profiling import Profiler, PassThroughProfiler, BaseProfiler
 from pytorch_lightning.trainer.auto_mix_precision import TrainerAMPMixin
 from pytorch_lightning.trainer.callback_config import TrainerCallbackConfigMixin
 from pytorch_lightning.trainer.callback_hook import TrainerCallbackHookMixin
@@ -32,7 +32,7 @@
 from pytorch_lightning.trainer.training_io import TrainerIOMixin
 from pytorch_lightning.trainer.training_loop import TrainerTrainLoopMixin
 from pytorch_lightning.trainer.training_tricks import TrainerTrainingTricksMixin
-from pytorch_lightning.debugging import MisconfigurationException
+from pytorch_lightning.utilities.exceptions import MisconfigurationException
 
 try:
     from apex import amp

pytorch_lightning/trainer/training_loop.py

@@ -145,7 +145,7 @@ def training_step(self, batch, batch_idx):
 from pytorch_lightning.callbacks.base import Callback
 from pytorch_lightning.core.lightning import LightningModule
 from pytorch_lightning.loggers import LightningLoggerBase
-from pytorch_lightning.debugging import MisconfigurationException
+from pytorch_lightning.utilities.exceptions import MisconfigurationException
 
 try:
     from apex import amp

tests/loggers/test_comet.py

@@ -8,7 +8,7 @@
 import tests.base.utils as tutils
 from pytorch_lightning import Trainer
 from pytorch_lightning.loggers import CometLogger
-from pytorch_lightning.debugging import MisconfigurationException
+from pytorch_lightning.utilities.exceptions import MisconfigurationException
 from tests.base import LightningTestModel
 
 

tests/models/test_amp.py

@@ -4,7 +4,7 @@
 
 import tests.base.utils as tutils
 from pytorch_lightning import Trainer
-from pytorch_lightning.debugging import MisconfigurationException
+from pytorch_lightning.utilities.exceptions import MisconfigurationException
 from tests.base import (
     LightningTestModel,
 )

tests/models/test_gpu.py

@@ -11,7 +11,7 @@
     parse_gpu_ids,
     determine_root_gpu_device,
 )
-from pytorch_lightning.debugging import MisconfigurationException
+from pytorch_lightning.utilities.exceptions import MisconfigurationException
 from tests.base import LightningTestModel
 
 PRETEND_N_OF_GPUS = 16

tests/models/test_restore.py

@@ -8,7 +8,7 @@
 import tests.base.utils as tutils
 from pytorch_lightning import Trainer
 from pytorch_lightning.callbacks import ModelCheckpoint
-from pytorch_lightning.debugging import MisconfigurationException
+from pytorch_lightning.utilities.exceptions import MisconfigurationException
 from tests.base import (
     LightningTestModel,
     LightningTestModelWithoutHyperparametersArg,

tests/test_deprecated.py

@@ -57,8 +57,6 @@ def test_tbd_remove_in_v0_9_0_module_imports():
     from pytorch_lightning.logging.test_tube import TestTubeLogger  # noqa: F402
     from pytorch_lightning.logging.wandb import WandbLogger  # noqa: F402
 
-    from pytorch_lightning.profiler import Profiler, AdvancedProfiler  # noqa: F402
-
 
 class ModelVer0_6(LightTrainDataloader, LightEmptyTestStep, TestModelBase):
 

tests/test_profiler.py

@@ -1,10 +1,10 @@
+import tempfile
 import time
 from pathlib import Path
 
 import numpy as np
 import pytest
-
-from pytorch_lightning.debugging import AdvancedProfiler, Profiler
+from pytorch_lightning.profiling import AdvancedProfiler, Profiler
 
 PROFILER_OVERHEAD_MAX_TOLERANCE = 0.0001
 

tests/trainer/test_dataloaders.py

@@ -2,7 +2,7 @@
 
 import tests.base.utils as tutils
 from pytorch_lightning import Trainer
-from pytorch_lightning.debugging import MisconfigurationException
+from pytorch_lightning.utilities.exceptions import MisconfigurationException
 from tests.base import (
     TestModelBase,
     LightningTestModel,

tests/trainer/test_trainer.py

@@ -14,7 +14,7 @@
 )
 from pytorch_lightning.core.lightning import load_hparams_from_tags_csv
 from pytorch_lightning.trainer.logging import TrainerLoggingMixin
-from pytorch_lightning.debugging import MisconfigurationException
+from pytorch_lightning.utilities.exceptions import MisconfigurationException
 from tests.base import (
     TestModelBase,
     DictHparamsModel,