code: def decode(self, combiner_outputs, targets, mask):
      # Invoke output features.
      output_logits = {}
      output_last_hidden = {}
      for (
          output_feature_name,
          output_feature,
      ) in self.output_features.items():
          # Use the presence or absence of targets to signal training or prediction.
          target = (
              targets[output_feature_name]
              if targets is not None
              else None
          )
          decoder_outputs = output_feature(
              combiner_outputs,
              output_last_hidden,
              mask=mask,
              target=target,
          )
  
          # Add decoder outputs to overall output dictionary.
          for decoder_output_name, tensor in decoder_outputs.items():
              output_feature_utils.set_output_feature_tensor(
                  output_logits,
                  output_feature_name,
                  decoder_output_name,
                  tensor,
              )
  
          # Save the hidden state of the output feature (for feature dependencies).
          output_last_hidden[output_feature_name] = decoder_outputs[
              "last_hidden"
          ]
      return output_logits
  
imports: import logging
  import os
  from typing import Dict, Tuple, Union
  import numpy
  import torch
  from ludwig.accounting.used_tokens import get_used_tokens_for_ecd
  from ludwig.combiners.combiners import create_combiner
  from ludwig.constants import MODEL_ECD, MODEL_LLM, USED_TOKENS
  from ludwig.globals import MODEL_WEIGHTS_FILE_NAME
  from ludwig.models.base import BaseModel
  from ludwig.schema.model_types.ecd import ECDModelConfig
  from ludwig.utils import output_feature_utils
  from ludwig.utils.augmentation_utils import AugmentationPipelines
  from ludwig.utils.data_utils import clear_data_cache
  from ludwig.utils.fs_utils import open_file
  from ludwig.utils.state_dict_backward_compatibility import update_state_dict
  from ludwig.utils.torch_utils import get_torch_device
label_desc: Use image node_id 6 for calling the ECD obj's underlying member method code with example usage: obj.decode(combiner_outputs, targets, mask) and returns: output_logits