class_docstr: Simple linear projection from the hidden vector to
  vocab.
class_docstr_tok: ["Simple","linear","projection","from","the","hidden","vector","to","vocab","."]
code: def __init__(
      self, src_dict, dst_dict, out_embed_dim=512, *args, **kwargs
  ):
      super().__init__()
      self.linear_projection = Linear(out_embed_dim, len(dst_dict))
      self.reset_parameters()
  
file_path: pytext/pytext/models/seq_models/projection_layers.py
imports: from typing import Dict, Optional, Tuple
  import torch
  import torch.nn.functional
  from pytext.models.seq_models.utils import Linear
  from torch import nn, Tensor
  from .attention import DecoupledMultiheadAttention
  from .utils import verify_encoder_out
label_desc: Use image node_id 1 to create a new DecoderWithLinearOutputProjection object from inherited base classes: nn with example: obj = DecoderWithLinearOutputProjection(src_dict, dst_dict, out_embed_dim)