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 reset_parameters(self):
      nn.init.uniform_(self.linear_projection.weight, -0.1, 0.1)
      nn.init.zeros_(self.linear_projection.bias)
  
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 2 for calling the DecoderWithLinearOutputProjection obj's underlying member method code with example usage: obj.reset_parameters() without return types