refactor: delete unused code line

[helin0815]

Types of changes

bugfix: when use example of cifar10.py,will generate this error:

Traceback (most recent call last):
  File "cifar.py", line 36, in <module>
    from opacus.grad_sample.functorch import make_functional
ImportError: cannot import name 'make_functional' from 'opacus.grad_sample.functorch' (/root/miniconda3/lib/python3.8/site-packages/opacus/grad_sample/functorch.py)

Motivation and Context / Related issue

How Has This Been Tested (if it applies)

Checklist

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[HuanyuZhang]

Thanks for the contribution! However, I could not replicate the error from my side. Could you make sure of the correctness of the Opacus's install?

Furthermore, I do not think this line is unused. See line 145 in the code (https://github.com/HuanyuZhang/opacus/blob/main/examples/cifar10.py#L145).

[helin0815]

Thanks for the contribution! However, I could not replicate the error from my side. Could you make sure of the correctness of the Opacus's install?

Furthermore, I do not think this line is unused. See line 145 in the code (https://github.com/HuanyuZhang/opacus/blob/main/examples/cifar10.py#L145).

@HuanyuZhang Hello.What is the version of opacus on your end? My version here is 1.4

[helin0815]

@HuanyuZhang hello，我最近在使用opacus的过程中遇到了一些问题，在这里请教您一下（看您的头像和id应该是中国人，因此在这里直接使用中文提问）。我现在北京交通大学计算机院读研，在做的实验是差分隐私相关，打算使用opacus来确认隐私预算的量，但是遇到了一些问题：我添加from opacus import PrivacyEngine privacy_engine = PrivacyEngine(accountant = "rdp") net, optimizer, trainloader = privacy_engine.make_private( module=net, optimizer=optimizer, data_loader=trainloader, noise_multiplier=1.1, max_grad_norm=1.0, )这样一段代码以后就出现了cuda out of memory的报错，未添加之前可以正常运行，而且我现在的GPU是一块24G显存的4090的卡，感觉已经挺大的了。而且我想请教一些关于opacus的问题，我在使用privacy_engine.make_private这个函数以后，是会对模型、优化器、参数都进行一些修改吗，还有在调用make_private这个函数以后是不是就会消耗大量的GPU来对模型参数进行一些处理，以及最后计算出来的隐私预算的值(epsilon)的值如果大于100的话合不合理。多谢