code: def __init__(
      self,
      target_dict,
      embed_tokens,
      layers,
      decoder_config,
      ontology_generation_only,
      decoupled_attention_heads,
      model_output_logprob,
  ):
      super().__init__(
          target_dict, embed_tokens, layers, decoder_config
      )
      fixed_generation_vocab = None
      if ontology_generation_only:
          fixed_generation_vocab = extract_ontology_vocab(target_dict)
      self.projection_layer = DecoupledDecoderHead(
          target_dict,
          target_dict,
          out_embed_dim=decoder_config.decoder_output_dim,
          encoder_hidden_dim=decoder_config.decoder_input_dim,
          pointer_attention_heads=decoupled_attention_heads,
          fixed_generation_vocab=fixed_generation_vocab,
          model_output_logprob=model_output_logprob,
      )
  
imports: import math
  from typing import Dict, List, Optional, Tuple, Union
  import torch
  import torch.nn
  import torch.nn.functional
  from pytext.config import ConfigBase
  from pytext.config.module_config import ModuleConfig
  from pytext.models.module import create_module
  from pytext.models.seq_models.base import PlaceholderAttentionIdentity
  from pytext.models.seq_models.positional import build_positional_embedding, PostionalEmbedCombine, PostionalEmbedType
  from pytext.models.seq_models.utils import Linear, log_and_overwrite
  from torch import Tensor
  from torch.nn import LayerNorm
  from .attention import MultiheadAttention
  from .base import PlaceholderIdentity, PyTextIncrementalDecoderComponent, PyTextSeq2SeqModule
  from .light_conv import LightweightConv
  from .projection_layers import DecoderWithLinearOutputProjection, DecoupledDecoderHead
  from .utils import extract_ontology_vocab
label_desc: Use image node_id 1 to create a new LightConvDecoupledDecoder object from inherited base classes: LightConvDecoderBase with example: obj = LightConvDecoupledDecoder(target_dict, embed_tokens, layers, decoder_config, ontology_generation_only, decoupled_attention_heads, model_output_logprob)