JIT compilation failed error when running the pix2pix template on GPU
Hi @Erida-Bendo ,

It seems the issue is related to Jupyter notebook environment. I can able to execute the code on google colab successfully without error and attached [gist](https://colab.research.google.com/gist/SuryanarayanaY/7b3fd146e2d519119de447994f25997e/pix2pix.ipynb) for reference.

We are not officially supporting Jupyter notebook instructions. You may refer the similar issues from #60790 and SO [link1](https://stackoverflow.com/questions/76101948/tensorflow-gpu-recognized-in-the-terminal-but-not-in-the-jupyter-notebook).
 Hi @SuryanarayanaY, thank you for your reply.
Differently from the attached issues, my jupyter notebook does recognize GPU. The error only appears when calling the 'fit' function, the rest of the notebook runs without issues.
Do you maybe have some suggestions on what could be some steps I could try for tackling the issue?
Thanks :) @Erida-Bendo , Could you tried installing `conda install nb_conda_kernels` and let us know.
 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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<details><summary>Click to expand!</summary> 
 
 ### Issue Type

Bug

### Have you reproduced the bug with TF nightly?

No

### Source

source

### Tensorflow Version

2.10.1

### Custom Code

No

### OS Platform and Distribution

Windows 10

### Mobile device

_No response_

### Python version

3.9.16

### Bazel version

_No response_

### GCC/Compiler version

_No response_

### CUDA/cuDNN version

cudatoolkit=11.2 cudnn=8.1.0

### GPU model and memory

NVIDIA Quadro M4000 8GB

### Current Behaviour?

I receive this error when I run the [pix2pix 1](https://www.tensorflow.org/tutorials/generative/pix2pix) template in a jupyter notebook on tensorflow GPU:
![image](https://github.com/tensorflow/tensorflow/assets/127302774/23962358-9ee9-4a57-8892-f3bbe99e483d)

When running only with CPU, no error appears though.



### Standalone code to reproduce the issue

```shell
This is the fit function, where the error appears:

def fit(train_ds, test_ds, steps):
 example_input, example_target = next(iter(test_ds.take(1)))
 start = time.time()

 for step, (input_image, target) in train_ds.repeat().take(steps).enumerate():
  if (step) % 1000 == 0:
   display.clear_output(wait=True)

  if step != 0:
    print(f'Time taken for 1000 steps: {time.time()-start:.2f} sec\n')

  start = time.time()

  generate_images(generator, example_input, example_target)
  print(f"Step: {step//1000}k")

train_step(input_image, target, step)

# Training step
if (step+1) % 10 == 0:
  print('.', end='', flush=True)


# Save (checkpoint) the model every 5k steps
if (step + 1) % 5000 == 0:
  checkpoint.save(file_prefix=checkpoint_prefix)
```


### Relevant log output

_No response_</details>