Different behaviors of raw_ops.Expm1 can be observed when jitcompiled=true. 
@sachinprasadhs,
I was able to reproduce the issue on tensorflow v2.14 and tf-nightly. Kindly find the gist of it [here](https://colab.research.google.com/gist/tilakrayal/a7a8aa205d7c0d5e8acd3ff09a96bbda/untitled1416.ipynb). I did not observe any inconsistencies when `jit_compile = True` and `jit_compile = False`. 
It is failing in both the cases and resulting similar outputs.
Attaching the Gist [here](https://colab.sandbox.google.com/gist/sachinprasadhs/4170aec49c6cfb4fc1d67fd5dabd5fd2/raw_ops-expm1.ipynb) for reference.  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/62211">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/62211">No</a>

### Issue type

Bug

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

No

### Source

source

### TensorFlow version

2.14.0

### Custom code

Yes

### OS platform and distribution

Ubuntu 22.04.3 LTS (x86_64)

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

11.8

### GPU model and memory

GPU 0: NVIDIA GeForce RTX 2070 GPU 1: NVIDIA GeForce RTX 2070 GPU 2: NVIDIA GeForce RTX 2070 GPU 3: NVIDIA GeForce RTX 2070

### Current behavior?

In TensorFlow, enabling jitcompiled results in inconsistent behavior of raw_ops.Expm1.

### Standalone code to reproduce the issue

```shell
https://colab.research.google.com/drive/1k9OjhFTmZNsj94JJ0lmJ-iiBL29-au00?usp=sharing
```


### Relevant log output

```shell
File "/home/guihuan/LLM/results/tf-2/2023-10-22-20-21/test.py", line 42, in <module>
    tf.debugging.assert_near(no_op_res, op_res, atol=0.001, rtol=0.001)
  File "/home/guihuan/.conda/envs/night/lib/python3.9/site-packages/tensorflow/python/util/traceback_utils.py", line 153, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "/home/guihuan/.conda/envs/night/lib/python3.9/site-packages/tensorflow/python/ops/control_flow_assert.py", line 102, in Assert
    raise errors.InvalidArgumentError(
tensorflow.python.framework.errors_impl.InvalidArgumentError: Expected 'tf.Tensor(False, shape=(), dtype=bool)' to be true. Summarized data: b''
b'x and y not equal to tolerance rtol = tf.Tensor(0.001, shape=(), dtype=float64), atol = tf.Tensor(0.001, shape=(), dtype=float64)'
b'x (shape=(10, 9, 8) dtype=complex128) = '
(-1+0j), (-1+0j), (nan+infj), ...
b'y (shape=(10, 9, 8) dtype=complex128) = '
(-1+0j), (-1+0j), (inf+infj), ...
```
