Remove the deprecated `LightningDataModule.test_transforms` (#12773)

Co-authored-by: Raymond G Schireman <raymond.schireman@uvm.edu>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
Co-authored-by: Akihiro Nitta <nitta@akihironitta.com>

CHANGELOG.md

@@ -121,6 +121,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Removed support for passing strategy names or strategy instances to the plugins Trainer argument ([#12700](https://github.com/PyTorchLightning/pytorch-lightning/pull/12700))
 
 
+- Removed the deprecated `test_transforms` argument from the `LightningDataModule` constructor ([#12773](https://github.com/PyTorchLightning/pytorch-lightning/pull/12773))
+
+
 - Removed deprecated `dataloader_idx` argument from `on_train_batch_start/end` hooks `Callback` and `LightningModule` ([#12769](https://github.com/PyTorchLightning/pytorch-lightning/pull/12769))
 
 ### Fixed

pytorch_lightning/core/datamodule.py

@@ -54,19 +54,13 @@ class LightningDataModule(CheckpointHooks, DataHooks, HyperparametersMixin):
 
     name: str = ...
 
-    def __init__(self, val_transforms=None, test_transforms=None):
+    def __init__(self, val_transforms=None):
         super().__init__()
         if val_transforms is not None:
             rank_zero_deprecation(
                 "DataModule property `val_transforms` was deprecated in v1.5 and will be removed in v1.7."
             )
-        if test_transforms is not None:
-            rank_zero_deprecation(
-                "DataModule property `test_transforms` was deprecated in v1.5 and will be removed in v1.7."
-            )
         self._val_transforms = val_transforms
-        self._test_transforms = test_transforms
-
         # Pointer to the trainer object
         self.trainer = None
 
@@ -89,25 +83,6 @@ class LightningDataModule(CheckpointHooks, DataHooks, HyperparametersMixin):
         )
         self._val_transforms = t
 
-    @property
-    def test_transforms(self):
-        """Optional transforms (or collection of transforms) you can apply to test dataset.
-
-        .. deprecated:: v1.5     Will be removed in v1.7.0.
-        """
-
-        rank_zero_deprecation(
-            "DataModule property `test_transforms` was deprecated in v1.5 and will be removed in v1.7."
-        )
-        return self._test_transforms
-
-    @test_transforms.setter
-    def test_transforms(self, t):
-        rank_zero_deprecation(
-            "DataModule property `test_transforms` was deprecated in v1.5 and will be removed in v1.7."
-        )
-        self._test_transforms = t
-
     @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

@@ -43,12 +43,8 @@ def test_v1_7_0_datamodule_transform_properties(tmpdir):
     dm = MNISTDataModule()
     with pytest.deprecated_call(match=r"DataModule property `val_transforms` was deprecated in v1.5"):
         dm.val_transforms = "b"
-    with pytest.deprecated_call(match=r"DataModule property `test_transforms` was deprecated in v1.5"):
-        dm.test_transforms = "c"
     with pytest.deprecated_call(match=r"DataModule property `val_transforms` was deprecated in v1.5"):
         _ = LightningDataModule(val_transforms="b")
-    with pytest.deprecated_call(match=r"DataModule property `test_transforms` was deprecated in v1.5"):
-        _ = LightningDataModule(test_transforms="c")
 
 
 def test_v1_7_0_moved_get_progress_bar_dict(tmpdir):