class_docstr: Embedding layer that initializes its values to use a truncated normal distribution.
docstr: Overriding default ``reset_parameters`` method.
docstr_tok: ["Overriding","default","``","reset_parameters","``","method","."]
code: def reset_parameters(self) -> None:
      """Overriding default ``reset_parameters`` method."""
      self.weight.data.normal_(0, 1.0 / (self.embedding_dim * 2.5))
  
file_path: collie/collie/model/base/layers.py
imports: from typing import Dict, List
  import torch
label_desc: Use image node_id 1 for calling the ScaledEmbedding obj's underlying member method code with example usage: obj.reset_parameters() without return types