code: def output_shape(self) -> torch.Size:
      return self.input_shape
  
imports: import logging
  from typing import Optional, Type
  import torch
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import BINARY, ENCODER_OUTPUT, NUMBER, TEXT, TIMESERIES, VECTOR
  from ludwig.encoders.base import Encoder
  from ludwig.encoders.registry import register_encoder
  from ludwig.encoders.types import EncoderOutputDict
  from ludwig.modules.fully_connected_modules import FCStack
  from ludwig.schema.encoders.base import BaseEncoderConfig, DenseEncoderConfig, PassthroughEncoderConfig
label_desc: Use image node_id 5 for calling the PassthroughEncoder obj's underlying member method code with example usage: obj.output_shape() and returns: self