[Dynamo][autograd.Function] Support mark_non_differentiable

[yanboliang]

Stack from ghstack (oldest at bottom):

• [Dynamo][autograd.Function] Support ctx.setup_context properly and compose with vmap #134256
• -> [Dynamo][autograd.Function] Support mark_non_differentiable #134087

cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames @rec

[pytorch-bot]

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✅ You can merge normally! (1 Unrelated Failure)

As of commit 8a1c30c with merge base d2c6074 ():

FLAKY - The following job failed but was likely due to flakiness present on trunk:

• pull / linux-focal-cuda12.1-py3.10-gcc9 / test (default, 4, 5, amz2023.linux.4xlarge.nvidia.gpu) (gh) (similar failure)
  'test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load'

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[zou3519]

Let's beef up the test and see if it works.

[zou3519]

code LGTM, but I added suggestions for more test cases, please read.

[yanboliang]

@pytorchbot merge

[pytorchmergebot]

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