code: def forward(self, inputs):
      outputs = {}
      for modality_key, modality_value in inputs.items():
          reduce_list = (
              modality_value.ndim >= 5
          )  # Audio and Video inputs consist of multiple clips
          if reduce_list:
              B, S = modality_value.shape[:2]
              modality_value = modality_value.reshape(
                  B * S, *modality_value.shape[2:]
              )
  
          if modality_value is not None:
              modality_value = self.modality_preprocessors[
                  modality_key
              ](**{modality_key: modality_value})
              trunk_inputs = modality_value["trunk"]
              head_inputs = modality_value["head"]
              modality_value = self.modality_trunks[modality_key](
                  **trunk_inputs
              )
              modality_value = self.modality_heads[modality_key](
                  modality_value, **head_inputs
              )
              modality_value = self.modality_postprocessors[
                  modality_key
              ](modality_value)
  
              if reduce_list:
                  modality_value = modality_value.reshape(B, S, -1)
                  modality_value = modality_value.mean(dim=1)
  
              outputs[modality_key] = modality_value
  
      return outputs
  
file_path: imagebind/imagebind/models/imagebind_model.py
imports: import os
  from functools import partial
  from types import SimpleNamespace
  import torch
  import torch.nn
  from imagebind.models.helpers import EinOpsRearrange, LearnableLogitScaling, Normalize, SelectElement, SelectEOSAndProject
  from imagebind.models.multimodal_preprocessors import AudioPreprocessor, IMUPreprocessor, PadIm2Video, PatchEmbedGeneric, RGBDTPreprocessor, SpatioTemporalPosEmbeddingHelper, TextPreprocessor, ThermalPreprocessor
  from imagebind.models.transformer import MultiheadAttention, SimpleTransformer
label_desc: Use image node_id 6 for calling the ImageBindModel obj's underlying member method code with example usage: obj.forward(inputs) and returns: outputs