prune data parallel

CHANGELOG.md

@@ -58,6 +58,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Prune deprecated classif. metrics from `pytorch_lightning.metrics.functional.classification` ([7499](https://github.com/PyTorchLightning/pytorch-lightning/pull/7499))
 
 
+- Removed deprecated data parallel classes `LightningDataParallel` and `LightningDistributedDataParallel` from `pytorch_lightning.overrides.data_parallel` ([7510](https://github.com/PyTorchLightning/pytorch-lightning/pull/7510))
+
+
 - Removed deprecated trainer attributes - `get_model` and `accelerator_backend` ([7502](https://github.com/PyTorchLightning/pytorch-lightning/pull/7502))
 
 

pytorch_lightning/overrides/data_parallel.py

@@ -16,12 +16,9 @@
 from typing import Any
 
 import torch
-from torch.nn import DataParallel
-from torch.nn.parallel import DistributedDataParallel
 
 from pytorch_lightning.core.lightning import LightningModule
 from pytorch_lightning.overrides.base import _LightningModuleWrapperBase
-from pytorch_lightning.overrides.distributed import LightningDistributedModule
 from pytorch_lightning.utilities import rank_zero_warn
 from pytorch_lightning.utilities.apply_func import apply_to_collection
 
@@ -35,27 +32,6 @@ def _ignore_scalar_return_in_dp():
     )
 
 
-class LightningDataParallel(DataParallel):
-
-    def __init__(self, module: LightningModule, *args, **kwargs):
-        warnings.warn(
-            "The usage of `LightningDataParallel` is deprecated since v1.2 and will be removed in v1.4."
-            " From now on we recommend to directly subclass `torch.nn.parallel.DataParallel`.", DeprecationWarning
-        )
-        super().__init__(LightningParallelModule(module), *args, **kwargs)
-
-
-class LightningDistributedDataParallel(DistributedDataParallel):
-
-    def __init__(self, module: LightningModule, *args, **kwargs):
-        warnings.warn(
-            "The usage of `LightningDistributedDataParallel` is deprecated since v1.2 and will be removed in v1.4."
-            " From now on we recommend to directly subclass `torch.nn.parallel.DistributedDataParallel`.",
-            DeprecationWarning
-        )
-        super().__init__(LightningDistributedModule(module), *args, **kwargs)
-
-
 class LightningParallelModule(_LightningModuleWrapperBase):
     """
     Wraps the user's LightningModule and redirects the forward call to the appropriate

tests/deprecated_api/test_remove_1-4.py

@@ -14,20 +14,10 @@
 """Test deprecated functionality which will be removed in v1.4.0"""
 
 import pytest
-import torch
 
 from pytorch_lightning import Trainer
-from pytorch_lightning.overrides.data_parallel import (
-    LightningDataParallel,
-    LightningDistributedDataParallel,
-    LightningParallelModule,
-)
-from pytorch_lightning.overrides.distributed import LightningDistributedModule
-from pytorch_lightning.plugins import DDPSpawnPlugin
-from pytorch_lightning.plugins.environments import LightningEnvironment
 from tests.deprecated_api import _soft_unimport_module
 from tests.helpers import BoringModel
-from tests.helpers.runif import RunIf
 
 
 def test_v1_4_0_deprecated_imports():
@@ -48,49 +38,6 @@ def test_v1_4_0_deprecated_imports():
         from pytorch_lightning.utilities.xla_device_utils import XLADeviceUtils  # noqa: F811 F401
 
 
-class CustomDDPPlugin(DDPSpawnPlugin):
-
-    def configure_ddp(self):
-        # old, deprecated implementation
-        with pytest.deprecated_call(
-            match='`LightningDistributedDataParallel` is deprecated since v1.2 and will be removed in v1.4.'
-        ):
-            self._model = LightningDistributedDataParallel(
-                module=self.lightning_module,
-                device_ids=self.determine_ddp_device_ids(),
-                **self._ddp_kwargs,
-            )
-            assert isinstance(self.model, torch.nn.parallel.DistributedDataParallel)
-            assert isinstance(self.model.module, LightningDistributedModule)
-
-
-@RunIf(min_gpus=2, skip_windows=True)
-def test_v1_4_0_deprecated_lightning_distributed_data_parallel(tmpdir):
-    model = BoringModel()
-    trainer = Trainer(
-        default_root_dir=tmpdir,
-        fast_dev_run=True,
-        gpus=2,
-        accelerator="ddp_spawn",
-        plugins=[
-            CustomDDPPlugin(
-                parallel_devices=[torch.device("cuda", 0), torch.device("cuda", 1)],
-                cluster_environment=LightningEnvironment(),
-            )
-        ]
-    )
-    trainer.fit(model)
-
-
-@RunIf(min_gpus=1)
-def test_v1_4_0_deprecated_lightning_data_parallel():
-    model = BoringModel()
-    with pytest.deprecated_call(match="`LightningDataParallel` is deprecated since v1.2 and will be removed in v1.4."):
-        dp_model = LightningDataParallel(model, device_ids=[0])
-    assert isinstance(dp_model, torch.nn.DataParallel)
-    assert isinstance(dp_model.module, LightningParallelModule)
-
-
 def test_v1_4_0_deprecated_manual_optimization_optimizer(tmpdir):
 
     class TestModel(BoringModel):