W0000 00:00:1714315704.778368    2252 graph_launch.cc:671] Fallback to op-by-op mode because memset node breaks graph update
@sondosaabed,
I suspect that this is due to **Keras 3** which uses jit compile by default, and **Keras 2** doesn't (user needs to explicitly enable jit), and the warning message is probably from jit/xla. I request you to take a look at this [issue](https://github.com/keras-team/keras/issues/19081) where a similar issue/warning has been proposed and it is still open. Also I request to follow the similar issue which has been proposed to have the updates on the similar issue. Thank you! > @sondosaabed, I suspect that this is due to **Keras 3** which uses jit compile by default, and **Keras 2** doesn't (user needs to explicitly enable jit), and the warning message is probably from jit/xla. I request you to take a look at this [issue](https://github.com/keras-team/keras/issues/19081) where a similar issue/warning has been proposed and it is still open. Also I request to follow the similar issue which has been proposed to have the updates on the similar issue. Thank you!

Thank you for your reply! I suggest they make a better warning message so as a user I could easily understand what this is and how to fix it. I will check out the jit/xla ! 
Thank you for indicating that issue I'll follow up and see if it's affecting my training. I'm gonna close this issue with this... Are you satisfied with the resolution of your issue?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/66589">Yes</a>
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/66589">No</a>

### Issue type

Others

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

No

### Source

source

### TensorFlow version

2.15

### Custom code

Yes

### OS platform and distribution

Kaggle notebook

### Mobile device

_No response_

### Python version

3.12

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

What does this warning indicate and how does it affect the training 


![image](https://github.com/tensorflow/tensorflow/assets/65151701/674fc8cf-168e-42a1-ad80-4ca2397294a6)

### Standalone code to reproduce the issue

```shell
I have included an image in the upper cell. I see a warning when training
```


### Relevant log output

_No response_