class_docstr: Common super class for decoder networks with output projection layers.
class_docstr_tok: ["Common","super","class","for","decoder","networks","with","output","projection","layers","."]
code: def reset_parameters(self):
      nn.init.uniform_(self.linear_projection.weight, -0.1, 0.1)
      nn.init.zeros_(self.linear_projection.bias)
  
imports: from typing import Dict, List, Optional, Tuple
  import torch
  import torch.nn.functional
  from fairseq import utils
  from pytext.config import ConfigBase
  from pytext.models.seq_models.base import PyTextSeq2SeqModule
  from pytext.utils.usage import log_class_usage
  from torch import nn
  from .attention import DotAttention
  from .base import PlaceholderIdentity, PyTextIncrementalDecoderComponent
label_desc: Use image node_id 2 for calling the DecoderWithLinearOutputProjection obj's underlying member method code with example usage: obj.reset_parameters() without return types