Abort when running tensorflow.python.ops.nn_ops.conv3d_transpose
@dmc1778 I was able to run the code successfully on colab using TF v2.11, 2.13 and tf-nightly. Please find the attached gist [here](https://colab.research.google.com/gist/sushreebarsa/407ab1c9b9756832e3f2589f08fecdec/61573.ipynb) and confirm the same?
Thank you! 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/61573">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/61573">No</a>

### Issue type

Bug

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

No

### Source

binary

### TensorFlow version

2.10.0

### Custom code

Yes

### OS platform and distribution

22.04

### Mobile device

_No response_

### Python version

3.9

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

nvidia-cudnn-cu11==8.6.0.163, cudatoolkit=11.8.0

### GPU model and memory

_No response_

### Current behavior?

Due to feeding invalid list element

### Standalone code to reproduce the issue

```shell
import tensorflow as tf
import os
import numpy as np
from tensorflow.python.ops import nn_ops
try:
  arg_0_tensor = tf.random.uniform([2, 5, 6, 4, 3], dtype=tf.float32)
  arg_0 = tf.identity(arg_0_tensor)
  arg_1_tensor = tf.random.uniform([3, 3, 3, 2, 3], dtype=tf.float32)
  arg_1 = tf.identity(arg_1_tensor)
  arg_2_0 = 2
  arg_2_1 = 11
  arg_2_2 = 13
  arg_2_3 = 9
  arg_2_4 = False
  arg_2 = [arg_2_0,arg_2_1,arg_2_2,arg_2_3,arg_2_4,]
  strides_0 = 1
  strides_1 = 2
  strides_2 = 2
  strides_3 = 2
  strides_4 = 1
  strides = [strides_0,strides_1,strides_2,strides_3,strides_4,]
  padding = "VALID"
  out = nn_ops.conv3d_transpose(arg_0,arg_1,arg_2,strides=strides,padding=padding,)
except Exception as e:
  print("Error:"+str(e))
```
```


### Relevant log output

```shell
2023-08-14 21:32:34.731642: 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
2023-08-14 21:32:34.748917: 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
2023-08-14 21:32:34.749058: 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
2023-08-14 21:32:34.749350: 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.
2023-08-14 21:32:34.750631: 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
2023-08-14 21:32:34.750742: 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
2023-08-14 21:32:34.750840: 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
2023-08-14 21:32:34.804553: 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
2023-08-14 21:32:34.804756: 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
2023-08-14 21:32:34.804893: 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
2023-08-14 21:32:34.804979: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1616] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 4009 MB memory:  -> device: 0, name: NVIDIA GeForce GTX 1660 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5
2023-08-14 21:32:34.866964: I tensorflow/stream_executor/cuda/cuda_dnn.cc:384] Loaded cuDNN version 8600
2023-08-14 21:32:34.880076: F tensorflow/stream_executor/cuda/cuda_dnn.cc:804] Check failed: cudnnSetConvolutionGroupCount( handle_.get(), convolution_descriptor.group_count()) == CUDNN_STATUS_SUCCESS (3 vs. 0)
Aborted

```
```
