hook函数：

import torch

import torch.nn as nn

import numpy as np

import matplotlib.pyplot as plt

torch.manual_seed(42)

np.random.seed(42)

 

张量钩子：

x = torch.tensor([2.0], requires_grad=True)

y = x ** 2

z = y ** 3

def tensor_hook(grad):

    print(f"原始梯度: {grad}")

    return grad / 2

hook_handle = y.register_hook(tensor_hook)

z.backward()

print(f"x的梯度: {x.grad}")

ho@浙大疏锦行ok_handle.remove()