Remove pos arg from Perceiver's Pre/Postprocessors (#18602)

* Remove pos arg from Perceiver's Pre/Postprocessors

* Revert the removed pos args in public methods

src/transformers/models/perceiver/modeling_perceiver.py

@@ -3130,7 +3130,7 @@ class PerceiverImagePreprocessor(AbstractPreprocessor):
 
         return inp_dim + pos_dim
 
-    def _build_network_inputs(self, inputs: torch.Tensor, pos: torch.Tensor, network_input_is_1d: bool = True):
+    def _build_network_inputs(self, inputs: torch.Tensor, network_input_is_1d: bool = True):
         """
         Construct the final input, including position encoding.
 
@@ -3209,7 +3209,7 @@ class PerceiverImagePreprocessor(AbstractPreprocessor):
             else:
                 raise ValueError("Unsupported data format for conv1x1.")
 
-        inputs, inputs_without_pos = self._build_network_inputs(inputs, pos, network_input_is_1d)
+        inputs, inputs_without_pos = self._build_network_inputs(inputs, network_input_is_1d)
         modality_sizes = None  # Size for each modality, only needed for multimodal
 
         return inputs, modality_sizes, inputs_without_pos
@@ -3308,7 +3308,7 @@ class PerceiverAudioPreprocessor(AbstractPreprocessor):
             return pos_dim
         return self.samples_per_patch + pos_dim
 
-    def _build_network_inputs(self, inputs, pos):
+    def _build_network_inputs(self, inputs):
         """Construct the final input, including position encoding."""
         batch_size = inputs.shape[0]
         index_dims = inputs.shape[1:-1]
@@ -3332,7 +3332,7 @@ class PerceiverAudioPreprocessor(AbstractPreprocessor):
     def forward(self, inputs: torch.Tensor, pos: Optional[torch.Tensor] = None, network_input_is_1d: bool = True):
         inputs = torch.reshape(inputs, [inputs.shape[0], -1, self.samples_per_patch])
 
-        inputs, inputs_without_pos = self._build_network_inputs(inputs, pos)
+        inputs, inputs_without_pos = self._build_network_inputs(inputs)
         modality_sizes = None  # Size for each modality, only needed for multimodal
 
         return inputs, modality_sizes, inputs_without_pos