Remove unused auto_collect_arguments class method

src/pytorch_lightning/core/module.py

@@ -14,7 +14,6 @@
 """The LightningModule - an nn.Module with many additional features."""
 
 import collections.abc
-import inspect
 import logging
 import numbers
 import os
@@ -46,7 +45,6 @@
 from pytorch_lightning.utilities.distributed import distributed_available, sync_ddp
 from pytorch_lightning.utilities.exceptions import MisconfigurationException
 from pytorch_lightning.utilities.imports import _TORCH_GREATER_EQUAL_1_11, _TORCH_GREATER_EQUAL_1_13
-from pytorch_lightning.utilities.parsing import collect_init_args
 from pytorch_lightning.utilities.rank_zero import rank_zero_debug, rank_zero_deprecation, rank_zero_warn
 from pytorch_lightning.utilities.signature_utils import is_param_in_hook_signature
 from pytorch_lightning.utilities.types import _METRIC_COLLECTION, EPOCH_OUTPUT, LRSchedulerTypeUnion, STEP_OUTPUT
@@ -1782,34 +1780,6 @@ def _verify_is_manual_optimization(self, fn_name):
                 " set model property `automatic_optimization` as False"
             )
 
-    @classmethod
-    def _auto_collect_arguments(cls, frame=None) -> Tuple[Dict, Dict]:
-        """Collect all module arguments in the current constructor and all child constructors. The child
-        constructors are all the ``__init__`` methods that reach the current class through (chained)
-        ``super().__init__()`` calls.
-
-        Args:
-            frame: instance frame
-
-        Returns:
-            self_arguments: arguments dictionary of the first instance
-            parents_arguments: arguments dictionary of the parent's instances
-        """
-        if not frame:
-            frame = inspect.currentframe()
-
-        frame_args = collect_init_args(frame.f_back, [])
-        self_arguments = frame_args[-1]
-
-        # set hyper_parameters in child
-        self_arguments = self_arguments
-        parents_arguments = {}
-
-        # add all arguments from parents
-        for args in frame_args[:-1]:
-            parents_arguments.update(args)
-        return self_arguments, parents_arguments
-
     @torch.no_grad()
     def to_onnx(self, file_path: Union[str, Path], input_sample: Optional[Any] = None, **kwargs):
         """Saves the model in ONNX format.

tests/tests_pytorch/models/test_hparams.py

@@ -410,7 +410,7 @@ def __init__(self, arg1, arg2, *args, **kwargs):
 
 
 class LocalVariableModelSuperFirst(BoringModel):
-    """This model has the _auto_collect_arguments() call at the end."""
+    """This model has the save_hyperparameters() call at the end."""
 
     def __init__(self, arg1, arg2, *args, **kwargs):
         super().__init__(*args, **kwargs)