docstr: Init method based on N(0, sigma).
docstr_tok: ["Init","method","based","on","N","(","0",",","sigma",")","."]
code: def init_method_normal(self, sigma):
      """Init method based on N(0, sigma)."""
  
      def init_(tensor):
          return torch.nn.init.normal_(tensor, mean=0.0, std=sigma)
  
      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 3 for calling the MockGPT2ModelPipe obj's underlying member method code with example usage: obj.init_method_normal(sigma) and returns: init_, torch