ColossalAI/examples/tutorial/sequence_parallel/model/layers/init_method.py

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import torch
import math
def init_normal(tensor, sigma):
"""Init method based on N(0, sigma)."""
torch.nn.init.normal_(tensor, mean=0.0, std=sigma)
def output_init_normal(tensor, sigma, num_layers):
"""Init method based on N(0, sigma/sqrt(2*num_layers)."""
std = sigma / math.sqrt(2.0 * num_layers)
torch.nn.init.normal_(tensor, mean=0.0, std=std)