Remove the deprecated LightningDataModule.size, LightningDataModule.dims (#12780)

CHANGELOG.md

@@ -100,6 +100,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Remove deprecated `pytorch_lightning.callbacks.progress.progress` ([#12658](https://github.com/PyTorchLightning/pytorch-lightning/pull/12658))
 
 
+- Removed the deprecated `dim` and `size` arguments from the `LightningDataModule` constructor([#12780](https://github.com/PyTorchLightning/pytorch-lightning/pull/12780))
+
+
 - Removed the deprecated `train_transforms` argument from the `LightningDataModule` constructor([#12662](https://github.com/PyTorchLightning/pytorch-lightning/pull/12662))
 
 

pytorch_lightning/core/datamodule.py

@@ -54,7 +54,7 @@ class LightningDataModule(CheckpointHooks, DataHooks, HyperparametersMixin):
 
     name: str = ...
 
-    def __init__(self, val_transforms=None, test_transforms=None, dims=None):
+    def __init__(self, val_transforms=None, test_transforms=None):
         super().__init__()
         if val_transforms is not None:
             rank_zero_deprecation(
@@ -64,11 +64,8 @@ class LightningDataModule(CheckpointHooks, DataHooks, HyperparametersMixin):
             rank_zero_deprecation(
                 "DataModule property `test_transforms` was deprecated in v1.5 and will be removed in v1.7."
             )
-        if dims is not None:
-            rank_zero_deprecation("DataModule property `dims` was deprecated in v1.5 and will be removed in v1.7.")
         self._val_transforms = val_transforms
         self._test_transforms = test_transforms
-        self._dims = dims if dims is not None else ()
 
         # Pointer to the trainer object
         self.trainer = None
@@ -111,33 +108,6 @@ class LightningDataModule(CheckpointHooks, DataHooks, HyperparametersMixin):
         )
         self._test_transforms = t
 
-    @property
-    def dims(self):
-        """A tuple describing the shape of your data. Extra functionality exposed in ``size``.
-
-        .. deprecated:: v1.5     Will be removed in v1.7.0.
-        """
-        rank_zero_deprecation("DataModule property `dims` was deprecated in v1.5 and will be removed in v1.7.")
-        return self._dims
-
-    @dims.setter
-    def dims(self, d):
-        rank_zero_deprecation("DataModule property `dims` was deprecated in v1.5 and will be removed in v1.7.")
-        self._dims = d
-
-    def size(self, dim=None) -> Union[Tuple, List[Tuple]]:
-        """Return the dimension of each input either as a tuple or list of tuples. You can index this just as you
-        would with a torch tensor.
-
-        .. deprecated:: v1.5     Will be removed in v1.7.0.
-        """
-        rank_zero_deprecation("DataModule property `size` was deprecated in v1.5 and will be removed in v1.7.")
-
-        if dim is not None:
-            return self.dims[dim]
-
-        return self.dims
-
     @classmethod
     def add_argparse_args(cls, parent_parser: ArgumentParser, **kwargs) -> ArgumentParser:
         """Extends existing argparse by default `LightningDataModule` attributes."""

tests/deprecated_api/test_remove_1-7.py

@@ -49,22 +49,6 @@ def test_v1_7_0_datamodule_transform_properties(tmpdir):
         _ = LightningDataModule(val_transforms="b")
     with pytest.deprecated_call(match=r"DataModule property `test_transforms` was deprecated in v1.5"):
         _ = LightningDataModule(test_transforms="c")
-    with pytest.deprecated_call(match=r"DataModule property `test_transforms` was deprecated in v1.5"):
-        _ = LightningDataModule(test_transforms="c", dims=(1, 1, 1))
-
-
-def test_v1_7_0_datamodule_size_property(tmpdir):
-    dm = MNISTDataModule()
-    with pytest.deprecated_call(match=r"DataModule property `size` was deprecated in v1.5"):
-        dm.size()
-
-
-def test_v1_7_0_datamodule_dims_property(tmpdir):
-    dm = MNISTDataModule()
-    with pytest.deprecated_call(match=r"DataModule property `dims` was deprecated in v1.5"):
-        _ = dm.dims
-    with pytest.deprecated_call(match=r"DataModule property `dims` was deprecated in v1.5"):
-        _ = LightningDataModule(dims=(1, 1, 1))
 
 
 def test_v1_7_0_moved_get_progress_bar_dict(tmpdir):