Internal Error for truncatediv when denominator is an integer zero.
Can I try my hands on it? @drewshark Thank you for raising this issue!
Truncation designates that negative numbers will round fractional quantities toward zero. It performs integer division. When the denominator is zero, there is no integer quotient that can be defined, so the function raises an error.
Could you use a floating-point denominator instead of an integer denominator, but this will change the behavior of the truncatediv function, as it will now perform floating-point division instead of integer division. Please let us know if it helps?
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?
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### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.14.0

### Custom code

Yes

### OS platform and distribution

_No response_

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

tf.truncatediv raises internal error when denominator is an integer zero. If the denominator is a float zero, this function works normally.

### Standalone code to reproduce the issue

```shell
import tensorflow as tf
x = tf.constant(33, dtype="int32")
y = tf.constant(0, dtype="int32")
print(x, y)
print(tf.truncatediv(x,y))
```


### Relevant log output

_No response_