tf.keras.layers.Conv3D throws error when backprop
@cheyennee I was able to replicate the issue on colab, please find the gist [here](https://colab.research.google.com/gist/sushreebarsa/b2b68382c6bd9682aff75bb1c40dc880/62425.ipynb#scrollTo=M60O0nHx2Qdj). Could you either increase the strides or decrease the kernel_size to avoid such an issue?
Thank you! Hi, @sushreebarsa. Decreasing the kernel_size can avoid such an issue. But shouldn't this error message be set to be more user-friendly, so that the user knows how to adjust the parameters appropriately?
### Issue type

Bug

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

No

### Source

source

### TensorFlow version

tf 2.14.0

### Custom code

Yes

### OS platform and distribution

windows colab

### 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 I try to do back prop on tf.keras.layers.Conv3D layer, it throws error. I think this bug is related to tensorflow because the error message contains tensorflow backprop ops.

### Standalone code to reproduce the issue

```shell
filters = 1
kernel_size_0 = 4
kernel_size_1 = 2
kernel_size_2 = 1
kernel_size = [kernel_size_0, kernel_size_1,kernel_size_2, ]
strides_0 = 1
strides_1 = 1
strides_2 = 1
strides = [strides_0, strides_1, strides_2, ]
padding = "valid"
data_format = "channels_last"
dilation_rate_0 = 1
dilation_rate_1 = 1
dilation_rate_2 = 1
dilation_rate = [dilation_rate_0,dilation_rate_1,dilation_rate_2,]
groups = 1
activation = "relu"
use_bias = True
kernel_initializer = None
bias_initializer = None
kernel_regularizer = None
bias_regularizer = None
activity_regularizer = None
kernel_constraint = None
bias_constraint = None
x = tf.random.uniform([1, 3, 3, 3, 1], minval=0.7301831337248943, maxval=3.0, dtype=tf.float32)
layer = tf.keras.layers.Conv3D(filters, kernel_size, strides=strides, padding=padding, data_format=data_format, dilation_rate=dilation_rate, groups=groups, activation=activation, use_bias=use_bias, kernel_initializer=kernel_initializer, bias_initializer=bias_initializer, kernel_regularizer=kernel_regularizer, bias_regularizer=bias_regularizer, activity_regularizer=activity_regularizer, kernel_constraint=kernel_constraint, bias_constraint=bias_constraint)
with tf.GradientTape() as g:
    g.watch(x)
    res = layer(x) 
grad = g.jacobian(res, x) # Error
```


### Relevant log output

```shell
InvalidArgumentError                      Traceback (most recent call last)
<ipython-input-16-7a29e2e0c3b9> in <cell line: 34>()
     32     res = layer(x)
     33 print(res.shape)
---> 34 grad = g.jacobian(res, x) # Error

3 frames
/usr/local/lib/python3.10/dist-packages/tensorflow/python/eager/execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
     58         for t in inputs
     59     ]
---> 60     tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
     61                                         inputs, attrs, num_outputs)
     62   except core._NotOkStatusException as e:

InvalidArgumentError: Graph execution error:

Detected at node gradient_tape/Conv3DBackpropInputV2/pfor/TensorArrayV2Stack/TensorListStack defined at (most recent call last):
  File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main

  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code

  File "/usr/local/lib/python3.10/dist-packages/colab_kernel_launcher.py", line 37, in <module>

  File "/usr/local/lib/python3.10/dist-packages/traitlets/config/application.py", line 992, in launch_instance

  File "/usr/local/lib/python3.10/dist-packages/ipykernel/kernelapp.py", line 619, in start

  File "/usr/local/lib/python3.10/dist-packages/tornado/platform/asyncio.py", line 195, in start

  File "/usr/lib/python3.10/asyncio/base_events.py", line 603, in run_forever

  File "/usr/lib/python3.10/asyncio/base_events.py", line 1909, in _run_once

  File "/usr/lib/python3.10/asyncio/events.py", line 80, in _run

  File "/usr/local/lib/python3.10/dist-packages/tornado/ioloop.py", line 685, in <lambda>

  File "/usr/local/lib/python3.10/dist-packages/tornado/ioloop.py", line 738, in _run_callback

  File "/usr/local/lib/python3.10/dist-packages/tornado/gen.py", line 825, in inner

  File "/usr/local/lib/python3.10/dist-packages/tornado/gen.py", line 786, in run

  File "/usr/local/lib/python3.10/dist-packages/ipykernel/kernelbase.py", line 361, in process_one

  File "/usr/local/lib/python3.10/dist-packages/tornado/gen.py", line 234, in wrapper

  File "/usr/local/lib/python3.10/dist-packages/ipykernel/kernelbase.py", line 261, in dispatch_shell

  File "/usr/local/lib/python3.10/dist-packages/tornado/gen.py", line 234, in wrapper

  File "/usr/local/lib/python3.10/dist-packages/ipykernel/kernelbase.py", line 539, in execute_request

  File "/usr/local/lib/python3.10/dist-packages/tornado/gen.py", line 234, in wrapper

  File "/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py", line 302, in do_execute

  File "/usr/local/lib/python3.10/dist-packages/ipykernel/zmqshell.py", line 539, in run_cell

  File "/usr/local/lib/python3.10/dist-packages/IPython/core/interactiveshell.py", line 2975, in run_cell

  File "/usr/local/lib/python3.10/dist-packages/IPython/core/interactiveshell.py", line 3030, in _run_cell

  File "/usr/local/lib/python3.10/dist-packages/IPython/core/async_helpers.py", line 78, in _pseudo_sync_runner

  File "/usr/local/lib/python3.10/dist-packages/IPython/core/interactiveshell.py", line 3257, in run_cell_async

  File "/usr/local/lib/python3.10/dist-packages/IPython/core/interactiveshell.py", line 3473, in run_ast_nodes

  File "/usr/local/lib/python3.10/dist-packages/IPython/core/interactiveshell.py", line 3553, in run_code

  File "<ipython-input-16-7a29e2e0c3b9>", line 34, in <cell line: 34>

  File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/ops/parallel_for/control_flow_ops.py", line 212, in f

Tried to stack elements of an empty list with non-fully-defined element_shape: [?,?,?,?,?]
	 [[{{node gradient_tape/Conv3DBackpropInputV2/pfor/TensorArrayV2Stack/TensorListStack}}]] [Op:__inference_f_4984]
```
