Abort when running tensorflow.python.ops.gen_nn_ops.conv3d_backprop_input_v2
Hi @dmc1778 ,

I tried to replicate the reported behaviour but for me it's working fine and code execution is success.Its working fine with Tf2.11 and tf-nightly as well. Ran the code multiple times and no error. Please refer to attached [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/839aab2129cda05a0fa1cf8f55cea59e/61539_2-11_nightly.ipynb).

Could you please cross verify again. Thanks! 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. Closing as resolved at head 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/61539">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/61539">No</a>

### Issue type

Bug

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

Yes

### Source

binary

### TensorFlow version

2.11.0

### 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 input tensor with zero shape

### Standalone code to reproduce the issue

```shell
import tensorflow as tf
import os
import numpy as np
from tensorflow.python.ops import gen_nn_ops
try:
  input_sizes_0 = 2
  input_sizes_1 = 8
  input_sizes_2 = 8
  input_sizes_3 = 8
  input_sizes_4 = 5
  input_sizes = [input_sizes_0,input_sizes_1,input_sizes_2,input_sizes_3,input_sizes_4,]
  filter_tensor = tf.random.uniform([0, 1, 2, 5, 3], dtype=tf.float32)
  filter = tf.identity(filter_tensor)
  out_backprop_tensor = tf.random.uniform([2, 4, 4, 4, 3], dtype=tf.float32)
  out_backprop = tf.identity(out_backprop_tensor)
  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 = "SAME"
  data_format = "NDHWC"
  dilations_0 = 1
  dilations_1 = 1
  dilations_2 = 1
  dilations_3 = 1
  dilations_4 = 1
  dilations = [dilations_0,dilations_1,dilations_2,dilations_3,dilations_4,]
  out = gen_nn_ops.conv3d_backprop_input_v2(input_sizes=input_sizes,filter=filter,out_backprop=out_backprop,strides=strides,padding=padding,data_format=data_format,dilations=dilations,)
except Exception as e:
  print("Error:"+str(e))

```
```


### Relevant log output

```shell
2023-08-13 00:13:03.668988: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
2023-08-13 00:13:04.462547: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 00:13:04.483261: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 00:13:04.483427: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 00:13:04.483905: 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.
2023-08-13 00:13:04.484753: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 00:13:04.484944: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 00:13:04.485057: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 00:13:04.585176: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 00:13:04.585346: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 00:13:04.585468: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-08-13 00:13:04.585565: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1613] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 744 MB memory:  -> device: 0, name: NVIDIA GeForce GTX 1660 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5
2023-08-13 00:13:04.615688: F ./tensorflow/core/util/gpu_launch_config.h:129] Check failed: work_element_count > 0 (0 vs. 0)
Aborted

```
```
