docstr: Init method based on N(0, sigma/sqrt(2*num_layers).
docstr_tok: ["Init","method","based","on","N","(","0",",","sigma\/sqrt","(","2","*","num_layers",")","."]
code: def scaled_init_method_normal(self, sigma, num_layers):
      """Init method based on N(0, sigma/sqrt(2*num_layers)."""
      std = sigma / math.sqrt(2.0 * num_layers)
  
      def init_(tensor):
          return torch.nn.init.normal_(tensor, mean=0.0, std=std)
  
      return init_
  
file_path: H2O/h2o_flexgen/benchmark/third_party/DeepSpeed/tests/unit/megatron_model.py
imports: import torch
  import os
  import sys
  import math
  from .common import get_test_path
  from deepspeed.pipe import PipelineModule, LayerSpec
label_desc: Use image node_id 4 for calling the MockGPT2ModelPipe obj's underlying member method code with example usage: obj.scaled_init_method_normal(sigma, num_layers) and returns: init_, torch