tf.raw_ops.FusedPadConv2D: Aborted (core dumped)
@sachinprasadhs,
I was able to reproduce the issue on tensorflow [v2.15](https://colab.research.google.com/gist/tilakrayal/c510f241f5ad6df92a119baa25e37609/untitled1753.ipynb) and the tf-nightly. Kindly find the gist of it [here](https://colab.research.google.com/gist/tilakrayal/3d8e36b937c66dd8f3056b4f6d64b1af/untitled1754.ipynb). 
### Issue type

Bug

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

Yes

### Source

binary

### TensorFlow version

tf 2.15

### Custom code

Yes

### OS platform and distribution

Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.9

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

Under specific input, `tf.raw_ops.FusedPadConv2D` encounters "Aborted (core dumped)".

### Standalone code to reproduce the issue

```shell
import tensorflow as tf

# Generate input data
input_data = tf.random.normal([3, 10, 10])

# Define paddings
paddings = tf.constant([[0, 0], [1, 1], [1, 1]])

# Define filter
filter = tf.random.normal([3, 3, 3, 16])

# Define mode
mode = "REFLECT"  # Change mode to "REFLECT" or "SYMMETRIC"

# Define strides
strides = [1, 1, 1, 1]

# Define padding
padding = "VALID"

# Invoke tf.raw_ops.FusedPadConv2D
output = tf.raw_ops.FusedPadConv2D(input=input_data, paddings=paddings, filter=filter, mode=mode, strides=strides, padding=padding)

print(output)
```


### Relevant log output

```shell
2024-03-10 14:49:28.555826: F tensorflow/core/framework/tensor_shape.cc:357] Check failed: d < dims() (3 vs. 3)
Aborted (core dumped)
```
