Rename and move Result

CHANGELOG.md

@@ -77,6 +77,11 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
     * Simplified "should run validation" logic ([#7682](https://github.com/PyTorchLightning/pytorch-lightning/pull/7682))
     * Refactored "should run validation" logic when the trainer is signaled to stop ([#7701](https://github.com/PyTorchLightning/pytorch-lightning/pull/7701))
 
+
+- Refactored logging
+    * Rename and move `core/step_result.py` to `trainer/connectors/logger_connector/result.py` ([#7736](https://github.com/PyTorchLightning/pytorch-lightning/pull/7736))
+
+
 - Moved `ignore_scalar_return_in_dp` warning suppression to the DataParallelPlugin class ([#7421](https://github.com/PyTorchLightning/pytorch-lightning/pull/7421/))
 
 

pytorch_lightning/core/lightning.py

@@ -26,7 +26,7 @@
 from argparse import Namespace
 from functools import partial
 from pathlib import Path
-from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
+from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, TYPE_CHECKING, Union
 
 import torch
 from torch import ScriptModule, Tensor
@@ -38,7 +38,6 @@
 from pytorch_lightning.core.memory import ModelSummary
 from pytorch_lightning.core.optimizer import LightningOptimizer
 from pytorch_lightning.core.saving import ALLOWED_CONFIG_TYPES, ModelIO, PRIMITIVE_TYPES
-from pytorch_lightning.core.step_result import Result
 from pytorch_lightning.utilities import rank_zero_deprecation, rank_zero_warn
 from pytorch_lightning.utilities.apply_func import apply_to_collection, convert_to_tensors
 from pytorch_lightning.utilities.cloud_io import get_filesystem
@@ -50,6 +49,9 @@
 from pytorch_lightning.utilities.types import _METRIC, EPOCH_OUTPUT, STEP_OUTPUT
 from pytorch_lightning.utilities.warnings import WarningCache
 
+if TYPE_CHECKING:
+    from pytorch_lightning.trainer.connectors.logger_connector.result import Result
+
 warning_cache = WarningCache()
 log = logging.getLogger(__name__)
 
@@ -106,7 +108,7 @@ def __init__(self, *args: Any, **kwargs: Any) -> None:
         # optionally can be set by user
         self._example_input_array = None
         self._datamodule = None
-        self._results: Optional[Result] = None
+        self._results: Optional['Result'] = None
         self._current_fx_name: Optional[str] = None
         self._running_manual_backward: bool = False
         self._current_dataloader_idx: Optional[int] = None

pytorch_lightning/plugins/training_type/ddp2.py

@@ -13,8 +13,8 @@
 # limitations under the License.
 import torch
 
-from pytorch_lightning.core.step_result import Result
 from pytorch_lightning.plugins.training_type.ddp import DDPPlugin
+from pytorch_lightning.trainer.connectors.logger_connector.result import Result
 
 
 class DDP2Plugin(DDPPlugin):

pytorch_lightning/plugins/training_type/dp.py

@@ -16,9 +16,9 @@
 import torch
 from torch.nn import DataParallel
 
-from pytorch_lightning.core.step_result import Result
 from pytorch_lightning.overrides.data_parallel import LightningParallelModule
 from pytorch_lightning.plugins.training_type.parallel import ParallelPlugin
+from pytorch_lightning.trainer.connectors.logger_connector.result import Result
 from pytorch_lightning.utilities.apply_func import apply_to_collection
 
 

pytorch_lightning/trainer/connectors/logger_connector/epoch_result_store.py

@@ -18,7 +18,7 @@
 import torch
 
 import pytorch_lightning as pl
-from pytorch_lightning.core.step_result import Result
+from pytorch_lightning.trainer.connectors.logger_connector.result import Result
 from pytorch_lightning.trainer.states import TrainerFn
 from pytorch_lightning.utilities import DistributedType, LightningEnum
 

pytorch_lightning/trainer/connectors/logger_connector/logger_connector.py

@@ -19,11 +19,11 @@
 import torch
 
 from pytorch_lightning.core import memory
-from pytorch_lightning.core.step_result import Result
 from pytorch_lightning.loggers import LoggerCollection, TensorBoardLogger
 from pytorch_lightning.trainer.connectors.logger_connector.epoch_result_store import EpochResultStore
 from pytorch_lightning.trainer.connectors.logger_connector.fx_validator import FxValidator
 from pytorch_lightning.trainer.connectors.logger_connector.metrics_holder import MetricsHolder
+from pytorch_lightning.trainer.connectors.logger_connector.result import Result
 from pytorch_lightning.trainer.states import RunningStage, TrainerFn
 from pytorch_lightning.utilities import DeviceType
 from pytorch_lightning.utilities.metrics import metrics_to_scalars

pytorch_lightning/trainer/evaluation_loop.py

@@ -17,7 +17,7 @@
 from torch.utils.data import DataLoader
 
 import pytorch_lightning as pl
-from pytorch_lightning.core.step_result import Result
+from pytorch_lightning.trainer.connectors.logger_connector.result import Result
 from pytorch_lightning.trainer.states import TrainerFn
 from pytorch_lightning.trainer.supporters import PredictionCollection
 from pytorch_lightning.utilities.model_helpers import is_overridden

pytorch_lightning/trainer/trainer.py

@@ -28,7 +28,6 @@
 from pytorch_lightning.core.datamodule import LightningDataModule
 from pytorch_lightning.core.lightning import LightningModule
 from pytorch_lightning.core.memory import ModelSummary
-from pytorch_lightning.core.step_result import Result
 from pytorch_lightning.loggers import LightningLoggerBase
 from pytorch_lightning.plugins import Plugin
 from pytorch_lightning.plugins.environments import ClusterEnvironment
@@ -48,6 +47,7 @@
 from pytorch_lightning.trainer.connectors.debugging_connector import DebuggingConnector
 from pytorch_lightning.trainer.connectors.env_vars_connector import _defaults_from_env_vars
 from pytorch_lightning.trainer.connectors.logger_connector import LoggerConnector
+from pytorch_lightning.trainer.connectors.logger_connector.result import Result
 from pytorch_lightning.trainer.connectors.model_connector import ModelConnector
 from pytorch_lightning.trainer.connectors.optimizer_connector import OptimizerConnector
 from pytorch_lightning.trainer.connectors.slurm_connector import SLURMConnector

pytorch_lightning/trainer/training_loop.py

@@ -23,8 +23,8 @@
 from torch.optim import Optimizer
 
 from pytorch_lightning.core.optimizer import LightningOptimizer
-from pytorch_lightning.core.step_result import Result
 from pytorch_lightning.plugins import ParallelPlugin
+from pytorch_lightning.trainer.connectors.logger_connector.result import Result
 from pytorch_lightning.trainer.supporters import TensorRunningAccum
 from pytorch_lightning.utilities import _TPU_AVAILABLE, AMPType, DeviceType
 from pytorch_lightning.utilities.distributed import rank_zero_info
@@ -742,9 +742,9 @@ def training_step_and_backward_closure(
         return_result: AttributeDict,
     ) -> Optional[torch.Tensor]:
 
-        step_result = self.training_step_and_backward(split_batch, batch_idx, opt_idx, optimizer, hiddens)
-        if step_result is not None:
-            return_result.update(step_result)
+        result = self.training_step_and_backward(split_batch, batch_idx, opt_idx, optimizer, hiddens)
+        if result is not None:
+            return_result.update(result)
             return return_result.loss
 
     def make_closure(self, *closure_args, **closure_kwargs: Any) -> Callable:

tests/core/test_metric_result_integration.py

@@ -18,7 +18,7 @@
 from torchmetrics import Metric
 
 import tests.helpers.utils as tutils
-from pytorch_lightning.core.step_result import Result
+from pytorch_lightning.trainer.connectors.logger_connector.result import Result
 from tests.helpers.runif import RunIf
 
 

tests/core/test_results.py

@@ -22,7 +22,7 @@
 
 import tests.helpers.utils as tutils
 from pytorch_lightning import LightningModule, Trainer
-from pytorch_lightning.core.step_result import Result
+from pytorch_lightning.trainer.connectors.logger_connector.result import Result
 from tests.helpers import BoringDataModule, BoringModel
 from tests.helpers.runif import RunIf
 

tests/models/test_tpu.py

@@ -24,8 +24,8 @@
 from pytorch_lightning import Trainer
 from pytorch_lightning.accelerators import TPUAccelerator
 from pytorch_lightning.callbacks import EarlyStopping
-from pytorch_lightning.core.step_result import Result
 from pytorch_lightning.plugins import TPUSpawnPlugin
+from pytorch_lightning.trainer.connectors.logger_connector.result import Result
 from pytorch_lightning.utilities import _TPU_AVAILABLE
 from pytorch_lightning.utilities.distributed import ReduceOp
 from pytorch_lightning.utilities.exceptions import MisconfigurationException

tests/trainer/logging_/test_logger_connector.py

@@ -26,10 +26,10 @@
 
 from pytorch_lightning import LightningModule
 from pytorch_lightning.callbacks.base import Callback
-from pytorch_lightning.core.step_result import Result
 from pytorch_lightning.trainer import Trainer
 from pytorch_lightning.trainer.connectors.logger_connector.fx_validator import FxValidator
 from pytorch_lightning.trainer.connectors.logger_connector.metrics_holder import MetricsHolder
+from pytorch_lightning.trainer.connectors.logger_connector.result import Result
 from pytorch_lightning.utilities.exceptions import MisconfigurationException
 from tests.helpers.boring_model import BoringModel, RandomDataset
 from tests.helpers.runif import RunIf