code: def __init__(self, input_size=1, encoder_config=None, **kwargs):
      super().__init__()
      self.config = encoder_config
  
      logger.debug(f" {self.name}")
      self.input_size = input_size
  
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 1 to create a new PassthroughEncoder object from inherited base classes: Encoder with example: obj = PassthroughEncoder(input_size, encoder_config)