crash when invoking tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient, and the crash is uncertain
@beanduan22,
I request you please take a look at this issue https://github.com/tensorflow/tensorflow/issues/46910 where a similar issue has been raised and it is still open. Could you please follow that issue, since it is already being tracked there?  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/62562">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/62562">No</a>

### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.13.0

### 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?

```python
import tensorflow as tf
import numpy as np

tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient(inputs=1, gradients=1, max=[], min=np.ones(0))

### Standalone code to reproduce the issue

```shell
when you run this,
the crash output is uncertain 
some times it shown min has incorrect size, expected 26950 was 0 
some times it shown min has incorrect size, expected 97 was 0 
some times it no crash.
```


### Relevant log output

```shell
2023-12-04 14:06:28.318553: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: SSE SSE2 SSE3 SSE4.1 SSE4.2 AVX AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
Traceback (most recent call last):
  File "C:\Users\uqbduan\Desktop\pythonProject\test.py", line 6, in <module>
    tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient(inputs=1, gradients=1, max=[], min=np.ones(0))
  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 3978, in fake_quant_with_min_max_vars_per_channel_gradient
    return fake_quant_with_min_max_vars_per_channel_gradient_eager_fallback(
  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 4056, in fake_quant_with_min_max_vars_per_channel_gradient_eager_fallback
    _result = _execute.execute(b"FakeQuantWithMinMaxVarsPerChannelGradient", 3,
  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\eager\execute.py", line 53, in quick_execute
    tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__FakeQuantWithMinMaxVarsPerChannelGradient_device_/job:localhost/replica:0/task:0/device:CPU:0}} min has incorrect size, expected 97 was 0 [Op:FakeQuantWithMinMaxVarsPerChannelGradient]

or

Traceback (most recent call last):
  File "C:\Users\uqbduan\Desktop\pythonProject\test.py", line 6, in <module>
    tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient(inputs=1, gradients=1, max=[], min=np.ones(0))
  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 3978, in fake_quant_with_min_max_vars_per_channel_gradient
    return fake_quant_with_min_max_vars_per_channel_gradient_eager_fallback(
  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 4056, in fake_quant_with_min_max_vars_per_channel_gradient_eager_fallback
    _result = _execute.execute(b"FakeQuantWithMinMaxVarsPerChannelGradient", 3,
  File "C:\Users\uqbduan\Anaconda3\envs\tensorflow2\lib\site-packages\tensorflow\python\eager\execute.py", line 53, in quick_execute
    tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __wrapped__FakeQuantWithMinMaxVarsPerChannelGradient_device_/job:localhost/replica:0/task:0/device:CPU:0}} min has incorrect size, expected 26950 was 0 [Op:FakeQuantWithMinMaxVarsPerChannelGradient]

or 

no crash
```
