[dynamo] Add support for tensor's is_complex method

[YangQun1]

This PR is to add support for tensor's is_complex method in dynamo. Take the following code as an example:

   def test_tensor_is_complex(x):
        if x.is_complex():
            return x + 1
        else:
            return x - 1

Before this fix, the is_complex() call will cause a graph break "torch.* op returned non-Tensor bool call_method is_complex". After this fix, the graph break can be avoided.

Fixes #122692

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

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✅ You can merge normally! (2 Unrelated Failures)

As of commit 1f46fad with merge base 7a6813b ():

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

• pull / linux-focal-cuda12.1-py3.10-gcc9 / test (default, 3, 5, linux.4xlarge.nvidia.gpu) (gh)
  test_foreach.py::TestForeachCUDA::test_binary_op_list_error_cases__foreach_clamp_max_cuda_int16

BROKEN TRUNK - The following job failed but was present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

• pull / linux-focal-cuda12.1-py3.10-gcc9-sm86 / test (default, 3, 5, linux.g5.4xlarge.nvidia.gpu) (gh)
  inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_mutation_cudagraph_managed_tensors_config_backend_cudagraphs

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[ezyang]

fix lint please

[ezyang]

@pytorchbot merge

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[IlyasMoutawwakil]

Hi @ezyang I see many of PRs adding support for tensor methods that are not returning a tensor, is there a way to do this from the user side when implementing a similar method in a tensor wrapper subclass ?