请教--关于detach

书写得很全面细致，关于detach，请教：网上很多地方都没有讲清楚detach，特别是将其值改变了之会怎么样，例如：
https://zhuanlan.zhihu.com/p/505445223 中的第一段代码，但是如果将其中“a = a0.tanh()”改为“a = a0.sin()”，如下，就可以正常运行了--没有报错，why？我的版本是2.3.0+cu121

import torch
a0 = torch.tensor([1.1, 2.2, 3.3], requires_grad = True)
a = a0.sin()
print('a=',a)
print('a.requires_grad=',a.requires_grad)
a_detach = a.detach()
print('a_detach=',a_detach)
print('a_detach.requires_grad=', a_detach.requires_grad)

a_detach.zero_()
print('a_detach=',a_detach)
print('a=',a)
print('a.requires_grad=',a.requires_grad) # 此时对原来的a求导
a.sum().backward()
print(a0.grad)

Start with the provided code and the linked Zhihu example, reproducing both the tanh and sin cases with PyTorch 2.3.0+cu121. Trace how detach, the in-place zero_ call, and backward behave in each case. Done means documenting the reason for the different outcomes; the issue names no project file or test location.