relu provide wrong / inconsistent result for tensorflow-macos   2.14.0.
Hi @MKrbm ,

Thanks for reaching us. `tensorflow-macos` is built and maintained by Apple. I hope you have followed the metal plugin instructions [here](https://developer.apple.com/metal/tensorflow-plugin/). As this works fine on Colab(Linux) and the issue persists on only Mac M1, I request you to raise an issue with apple developer forum [here](https://developer.apple.com/forums/tags/tensorflow-metal/).

@kulinseth , Do you have any pointers here? @SuryanarayanaY  Yes, I indeed followd the instructions.  I will raisean issue there as you suggested. Thank you.
 Hi @MKrbm ,

COuld you checked the issue with latest Keras3 versions either 3.0.4 or keras-nightly and let us know the result? 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?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/62137">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/62137">No</a>

### Issue type

Bug

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

No

### Source

binary

### TensorFlow version

2.14

### Custom code

No

### OS platform and distribution

macOS 14.0 

### Mobile device

_No response_

### Python version

3.11 / 3.10

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

Apple m1 16GB

### Current behavior?

I was playing with https://www.tensorflow.org/tutorials/generative/autoencoder and I found the results of autoencoder were completely inconsistent between when I run this on **google colab** and my own **m1 macbook**.

Concrete problems are 

1. Result image of first AE ( basic autoencoder) doesn't make sense at all. 
<img width="892" alt="Screenshot 2023-10-17 at 14 37 31" src="https://github.com/tensorflow/tensorflow/assets/57752203/49a56138-faf0-4f31-813d-53b97a3fa99f">


2. Displayed loss value is quite different from when I test after training. (See below sc)

local 
<img width="1034" alt="Screenshot 2023-10-17 at 14 40 41" src="https://github.com/tensorflow/tensorflow/assets/57752203/e5c15d6c-83c1-46db-9748-0a1240a550c0">

colab
<img width="1398" alt="image" src="https://github.com/tensorflow/tensorflow/assets/57752203/03cdb403-6b72-4c70-b6ae-280a6f9aaf59">


3. When I use `elu` instead of `relu`, problems were solved. 
<img width="1022" alt="Screenshot 2023-10-17 at 14 47 36" src="https://github.com/tensorflow/tensorflow/assets/57752203/1ae8274d-e302-4488-8a07-c2312df8426d">
<img width="971" alt="image" src="https://github.com/tensorflow/tensorflow/assets/57752203/f828d8a1-706a-4bef-90c3-8dec9dee0194">

Is `relu` not recommended for tensorflor-macos right now?



### Standalone code to reproduce the issue

```shell
You can directy use notebook from google colab.
```


### Relevant log output

_No response_