Source code for gptcache.utils.softmax
import numpy as np
[docs]def softmax(x: list):
x = np.array(x)
assert len(x.shape) == 1, f"Expect to get a shape of (len,) but got {x.shape}, x value: {x}."
max_val = x.max()
e_x = np.exp(x - max_val)
return e_x / e_x.sum()