BUG: reference count leak in function `RegisterForwardAccumulatorCleanup` (static analyzer report)
### Issue type

Bug

### Have you reproduced the bug with TensorFlow Nightly?

Yes

### Source

source

### TensorFlow version

commit faad219fc46032a0ae9576ccc3076612cc1f5f72

### Custom code

No

### OS platform and distribution

Linux Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.8

### Bazel version

_No response_

### GCC/compiler version

Our static analyzer uses Clang 13 as its parser

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

https://github.com/tensorflow/tensorflow/blob/53fb0130851ad40d544105432f414b4ebe9e729d/tensorflow/python/eager/pywrap_tfe_src.cc#L2378-L2379

API `PyCFunction_New` does not steal a reference for the second argument.
API `PyLong_FromLong` will return a new reference.
Calling `PyLong_FromLong` directly as the second argument of `PyCFunction_New` will lead to a reference count leak for the PyObject returned by `PyLong_FromLong`.

Internal report ID: c13984

### Standalone code to reproduce the issue

```shell
Unnecessary. Whenever this function is called, the problem will be triggered.
```


### Relevant log output

_No response_