Segmentation fault when running tensorflow.python.ops.gen_math_ops._histogram_fixed_width
Please always test with the latest version. Testing with versions from last year cause needless work as people now have to spend time to reproduce issues in nightly/last release. @dmc1778 This issue is replicating in TF v2.11, 2.13 and tf-nightly as well. Could you please have a look at [this](https://colab.research.google.com/gist/sushreebarsa/1a4ca4d9d153b95097e2ce690be8e016/untitled827.ipynb#scrollTo=O6iBEtiEXcAo) gist. 
Since Segmentation faults can be considered as potential security vulnerabilities please read [SECURITY.md](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) and report them through proper channel as mentioned in SECURITY.md. If you want to stick to a specific version then please follow [this](https://github.com/tensorflow/tensorflow/blob/master/README.md#patching-guidelines) and create your own patch to resolve such issues. Thank you! 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/61555">Yes</a>
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### Issue type

Bug

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

No

### Source

binary

### TensorFlow version

2.13.0

### Custom code

Yes

### OS platform and distribution

22.04

### Mobile device

_No response_

### Python version

3.9

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

nvidia-cudnn-cu11==8.6.0.163, cudatoolkit=11.8.0

### GPU model and memory

_No response_

### Current behavior?

Due to negative float argument

### Standalone code to reproduce the issue

```shell
import tensorflow as tf
import numpy as np
from tensorflow.python.ops import gen_math_ops
try:
  try:
    with tf.device('/CPU'):
      arg_0_0_0 = -1.0
      arg_0_0_1 = 0.0
      arg_0_0_2 = 1.5
      arg_0_0 = [arg_0_0_0,arg_0_0_1,arg_0_0_2,]
      arg_0_1_0 = 2.0
      arg_0_1_1 = 5.0
      arg_0_1_2 = 15
      arg_0_1 = [arg_0_1_0,arg_0_1_1,arg_0_1_2,]
      arg_0 = [arg_0_0,arg_0_1,]
      arg_1_0 = -1.7976931348623157e+308
      arg_1_1 = -1.4013e-45
      arg_1 = [arg_1_0,arg_1_1,]
      arg_2 = 5
      dtype = tf.int32
      out = gen_math_ops._histogram_fixed_width(arg_0,arg_1,arg_2,dtype=dtype,)
  except Exception as e:
    print("Error:"+str(e))
  try:
    with tf.device('/GPU:0'):
      arg_0_0 = [arg_0_0_0,arg_0_0_1,arg_0_0_2,]
      arg_0_1 = [arg_0_1_0,arg_0_1_1,arg_0_1_2,]
      arg_0 = [arg_0_0,arg_0_1,]
      arg_1 = [arg_1_0,arg_1_1,]
      dtype = tf.int32
      gen_math_ops._histogram_fixed_width(arg_0,arg_1,arg_2,dtype=dtype,)
  except Exception as e:
    print("Error:"+str(e))
except Exception as e:
  print("Error:"+str(e))
```
```


### Relevant log output

```shell
2023-08-14 17:17:24.916189: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
2023-08-14 17:17:25.460939: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 17:17:25.478482: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 17:17:25.478631: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 17:17:25.478922: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-08-14 17:17:25.479696: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 17:17:25.479802: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 17:17:25.479896: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 17:17:25.548142: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 17:17:25.548279: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 17:17:25.548375: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-14 17:17:25.548456: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1613] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 3932 MB memory:  -> device: 0, name: NVIDIA GeForce GTX 1660 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5
Segmentation fault
(fuzzer_tf_2.11.0) n
```
```
