Aborted (core dumped) in `tf.raw_ops.FusedPadConv2D`
@SuryanarayanaY I was able to replicate the issue reported [here](https://colab.research.google.com/gist/sushreebarsa/f7ccbeafd541d3d1bfcc1844e6820161/67527.ipynb).
Thank you!
### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.16.1

### Custom code

Yes

### OS platform and distribution

Ubuntu 20.04

### 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?

When `input` dimension is less than 4， it will cause abort.

### Standalone code to reproduce the issue

```shell
import tensorflow as tf

mode = "REFLECT"
strides = [1, 1, 1, 1]
padding = "VALID"
input = tf.constant(1.5e+300, shape=[], dtype=tf.float64)
paddings = tf.constant(65534, shape=[4,2], dtype=tf.int32)
filter = tf.constant([], shape=[1,1,0,1,0], dtype=tf.float64)
tf.raw_ops.FusedPadConv2D(input=input, paddings=paddings, filter=filter, mode=mode, strides=strides, padding=padding)
```


### Relevant log output

```shell
2024-05-14 08:19:37.953832: F tensorflow/core/framework/tensor_shape.cc:357] Check failed: d < dims() (1 vs. 0)
Aborted (core dumped)
```
