Results with error set when running tf.raw_ops.StatelessParameterizedTruncatedNormal
@sachinprasadhs I was able to replicate the issue reported [here](https://colab.research.google.com/gist/sushreebarsa/c95ef7dfc143c2ae9a6d25072819c483/61903.ipynb). Thank you! @mihaimaruseac Is this a bug or security vulnerability? In the absence of demonstrated impact it is not security vuln.

Here, it is also just errors reported back to user, no abnormal program termination.

This is all WAI If you don't try to catch the error, you will see: 
```
OverflowError: Python int too large to convert to C long
```
This actually has nothing to do with TF. 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/61903">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/61903">No</a>

### Issue type

Bug

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

Yes

### Source

binary

### TensorFlow version

2.13.0

### Custom code

Yes

### OS platform and distribution

22.04

### Mobile device

_No response_

### Python version

3.10

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

Maybe a better error message should be raised here? 
```
Error:<class 'tensorflow.python.framework.ops.EagerTensor'> returned a result with an error set
Error:<class 'tensorflow.python.framework.ops.EagerTensor'> returned a result with an error set
```

### Standalone code to reproduce the issue

```shell
results = dict()
import tensorflow as tf
import numpy as np
try:
  try:
    with tf.device('/CPU'):
      shape = []
      seed_0 = -0.28041645497635637
      seed_1 = -434
      seed = [seed_0,seed_1,]
      means = -382
      stddevs_tensor = tf.saturate_cast(tf.random.uniform([], minval=0, maxval=2, dtype=tf.int64), dtype=tf.uint64)
      stddevs = tf.identity(stddevs_tensor)
      minvals = []
      maxvals = []
      name_tensor = tf.random.uniform([], dtype=tf.bfloat16)
      name = tf.identity(name_tensor)
      out = tf.raw_ops.StatelessParameterizedTruncatedNormal(shape=shape,seed=seed,means=means,stddevs=stddevs,minvals=minvals,maxvals=maxvals,name=name,)
  except Exception as e:
    print("Error:"+str(e))
  try:
    with tf.device('/GPU:0'):
      shape = []
      seed = [seed_0,seed_1,]
      stddevs = tf.identity(stddevs_tensor)
      stddevs = tf.cast(stddevs, tf.uint64)
      minvals = []
      maxvals = []
      name = tf.identity(name_tensor)
      name = tf.cast(name, tf.bfloat16)
      tf.raw_ops.StatelessParameterizedTruncatedNormal(shape=shape,seed=seed,means=means,stddevs=stddevs,minvals=minvals,maxvals=maxvals,name=name,)
  except Exception as e:
    print("Error:"+str(e))
except Exception as e:
  print("Error:"+str(e))

print(results)
```
```


### Relevant log output

```shell
2023-09-18 23:45:51.224040: 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.
2023-09-18 23:45:51.345060: E tensorflow/stream_executor/cuda/cuda_blas.cc:2981] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-09-18 23:45:51.934234: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory
2023-09-18 23:45:51.934291: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory
2023-09-18 23:45:51.934301: 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.
2023-09-18 23:45:52.423299: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:980] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-09-18 23:45:52.450695: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudnn.so.8'; dlerror: libcudnn.so.8: cannot open shared object file: No such file or directory
2023-09-18 23:45:52.450716: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1934] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
2023-09-18 23:45:52.451038: 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.
Error:<class 'tensorflow.python.framework.ops.EagerTensor'> returned a result with an error set
Error:<class 'tensorflow.python.framework.ops.EagerTensor'> returned a result with an error set
{}
```
```
