JIT compilation failed with tf.math.sqrt on GPU
Hi **@tayyibgondal** ,
Could you please try again? I tried with TF2.15 and I cannot reproduce the error. Please check the [gist](https://colab.sandbox.google.com/gist/Venkat6871/1df4a8d92ffb8be9c1335b21cb322a9c/62837_gpu_2-15-v.ipynb) here.

Thank you! I think there was a cuda version mismatch. I updated my cuda drivers to version 12 using the line:

`!pip install tensorflow[and-cuda]`

Now it's working fine. Thanks! Hi **@tayyibgondal** ,

Could you please confirm if this issue is resolved for you ? Please feel free to close the issue if it is resolved.

Thank you! Yes, it is resolved! 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/62837">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/62837">No</a>

### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 15.0

### Custom code

Yes

### OS platform and distribution

Linux Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.11

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

11.7

### GPU model and memory

NVIDIA RTX A5000 (24 GB)

### Current behavior?

Here is my code for position embedding of gpt model:

```
class PositionalEmbedding(tf.keras.layers.Layer):
  def __init__(self, vocab_size, d_model):
    super().__init__()
    self.d_model = d_model
    self.embedding = tf.keras.layers.Embedding(vocab_size, d_model, mask_zero=True)
    self.pos_encoding = positional_encoding(length=2048, depth=d_model)

  def compute_mask(self, *args, **kwargs):
    return self.embedding.compute_mask(*args, **kwargs)

  def call(self, x):
    length = tf.shape(x)[1]  # No of words
    x = self.embedding(x)
    # This factor sets the relative scale of the embedding and positonal_encoding.
    x *= tf.math.sqrt(tf.cast(self.d_model, tf.float32))
    x = x + self.pos_encoding[tf.newaxis, :length, :]
    return x


embed_fr = PositionalEmbedding(vocab_size=fr_vocab_size, d_model=512)
embed_en = PositionalEmbedding(vocab_size=en_vocab_size, d_model=512)
fr = tf.stack(fr_train_sequences[0:2])
en = tf.stack(en_train_sequences[0:2])


print('French input shape:', fr.shape)
fr_emb = embed_fr(fr)
print(fr_emb.shape)
```

This particular line causes the error: 

`x *= tf.math.sqrt(tf.cast(self.d_model, tf.float32))`

Here is the error:
![Screenshot from 2024-01-24 11-38-51](https://github.com/tensorflow/tensorflow/assets/114048277/9f88aa6f-4374-4d3f-8563-72a9e2a74587)



### Standalone code to reproduce the issue

```shell
import tensorflow as tf
# Create a tensor
tensor_to_sqrt = tf.constant([4.0, 9.0, 16.0], dtype=tf.float32)

# Take the square root
tensor_sqrt = tf.sqrt(tensor_to_sqrt)

# Print the original tensor and its square root
print("Original Tensor:")
print(tensor_to_sqrt.numpy())

print("\nSquare Root Tensor:")
print(tensor_sqrt.numpy())
```


### Relevant log output

```shell
{{function_node __wrapped__Sqrt_device_/job:localhost/replica:0/task:0/device:GPU:0}} JIT compilation failed. [Op:Sqrt] name:
```
