crash when calling api combinations of tf.py_function() tf.math.log() tf.GradientTape().jacobian both on GPU and CPU
Hi **@beanduan22** ,
Sorry for the delay. I Was able to reproduce the issue on colab using TF v2.14 , 2.15, and TF-nightly, Please find the [gist](https://colab.research.google.com/gist/Venkat6871/012ae46e4f2181daa763828e7affe2e2/62559_2-14_2-15-nightly-v.ipynb) here for reference. We need to dig for this issue. I will give an update in a few days.

Thank you!
 Hi **@beanduan22**,

There is an issue with the combination of tf.py_function() and GPU usage. The tf.py_function may not be compatible with GPU execution in some cases. And it may work well on the CPU.
When using tf.py_function on the GPU, it is recommended to use tf.autodiff.ForwardAccumulator instead of tf.GradientTape. Here I added a [gist](https://colab.research.google.com/gist/Venkat6871/1ac82907b2599f6fa924d80284c812a8/62559_2-15-v.ipynb) for your reference. Once you go through this gist.

Thank you! This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
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### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.13

### Custom code

Yes

### OS platform and distribution

_No response_

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

```python
import tensorflow as tf


with tf.device("/cpu:0"):
  def log(a):
    return tf.py_function(lambda a: tf.math.log(a), [a], a.dtype)
  def test(a) :
    with tf.GradientTape() as tape:
      tape.watch(a)
      y = log(a)
    jaco = tape.jacobian(y, a)
    return jaco
  a = tf.constant([0, 2, 3], dtype=tf.float32)
  cpu_out = test(a)

with tf.device("/gpu:0"):
  def log(a):
    return tf.py_function(lambda a: tf.math.log(a), [a], a.dtype)
  def test(a) :
    with tf.GradientTape() as tape:
      tape.watch(a)
      y = log(a)
    jaco = tape.jacobian(y, a)
    return jaco
  a = tf.constant([0, 2, 3], dtype=tf.float32)
  gpu_out = test(a)

print(cpu_out)
print(gpu_out)

### Standalone code to reproduce the issue

```shell
crash when calling api combinations of tf.py_function() tf.math.log() tf.GradientTape().jacobian both on GPU and CPU
```


### Relevant log output

```shell
2023-12-04 12:40:51.556810: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: SSE SSE2 SSE3 SSE4.1 SSE4.2 AVX AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-12-04 12:40:51.779640: W tensorflow/core/framework/op_kernel.cc:1816] UNKNOWN: KeyError: b'pyfunc_0'
Traceback (most recent call last):

  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\ops\script_ops.py", line 266, in __call__
    return func(device, token, args)

  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\ops\script_ops.py", line 144, in __call__
    outputs = self._call(device, args)

  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\ops\script_ops.py", line 151, in _call
    ret = self._func(*args)

  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\autograph\impl\api.py", line 643, in wrapper
    return func(*args, **kwargs)

  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\ops\script_ops.py", line 399, in eagerly_executed_grad
    tape, eager_inputs, eager_outputs = tape_cache.pop(compat.as_bytes(token))

KeyError: b'pyfunc_0'


Traceback (most recent call last):
  File "C:\Users\uqbduan\Desktop\pythonProject\test.py", line 16, in <module>
    cpu_out = test(a)
  File "C:\Users\uqbduan\Desktop\pythonProject\test.py", line 13, in test
    jaco = tape.jacobian(y, a)
  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\eager\backprop.py", line 1167, in jacobian
    output = pfor_ops.pfor(loop_fn, target_size,
  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\ops\parallel_for\control_flow_ops.py", line 227, in pfor
    outputs = f()
  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\util\traceback_utils.py", line 153, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\eager\execute.py", line 53, in quick_execute
    tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.UnknownError: Graph execution error:

Detected at node 'gradient_tape/EagerPyFunc/pfor/while/EagerPyFunc' defined at (most recent call last):
    File "C:\Users\uqbduan\Desktop\pythonProject\test.py", line 16, in <module>
      cpu_out = test(a)
    File "C:\Users\uqbduan\Desktop\pythonProject\test.py", line 13, in test
      jaco = tape.jacobian(y, a)
    File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\ops\parallel_for\control_flow_ops.py", line 208, in f
      iters,
Node: 'gradient_tape/EagerPyFunc/pfor/while/EagerPyFunc'
KeyError: b'pyfunc_0'
Traceback (most recent call last):

  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\ops\script_ops.py", line 266, in __call__
    return func(device, token, args)

  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\ops\script_ops.py", line 144, in __call__
    outputs = self._call(device, args)

  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\ops\script_ops.py", line 151, in _call
    ret = self._func(*args)

  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\autograph\impl\api.py", line 643, in wrapper
    return func(*args, **kwargs)

  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\ops\script_ops.py", line 399, in eagerly_executed_grad
    tape, eager_inputs, eager_outputs = tape_cache.pop(compat.as_bytes(token))

KeyError: b'pyfunc_0'


	 [[{{node gradient_tape/EagerPyFunc/pfor/while/EagerPyFunc}}]] [Op:__inference_f_147]
```
