import torch
import math
def get_positional_encoding(max_len, d_model):
pe = torch.zeros(max_len, d_model)
position = torch.arange(0, max_len, dtype=torch.float).unsqueeze(1)
div_term = torch.exp(torch.arange(0, d_model, 2).float() * (-math.log(10000.0) / d_model))
pe[:, 0::2] = torch.sin(position * div_term)
pe[:, 1::2] = torch.cos(position * div_term)
return pe.unsqueeze(0) # (1, max_len, d_model)
# 示例
max_len = 50
d_model = 512
positional_encoding = get_positional_encoding(max_len, d_model)
print(positional_encoding.shape) # 输出: torch.Size([1, 50, 512])