output_padding argument in Conv1DTranspose
@olive380 If you don't require any padding for the output, simply omit the output_padding argument altogether. The default behavior in TensorFlow 2.16 for Conv1DTranspose is to not add any padding, which aligns with your case of using output_padding=0. Also please refer to the Keras [documentation](https://www.tensorflow.org/api_docs/python/tf/keras/layers/Conv1DTranspose) for the Conv1DTranspose layer specifically. This might provide additional details and examples regarding the output_padding argument.

Thank you! @sushreebarsa Thank you for the answer, but your proposal does not solve the issue since the behavior of TensorFlow is totally different if output_padding is omitted or set to zero in all versions of the code up to 2.15. If you are not aware of this, please have a look at the deconv_output_length method defined in /tensorflow/python/keras/utils/conv_utils.py available [here](https://github.com/tensorflow/tensorflow/blob/43fcba8aeb627182afea8c5655f55d0557ab53dd/tensorflow/python/keras/utils/conv_utils.py#L4). So, please fix the bug in version 2.16 to allow set output_padding=0 in Conv1DTraspose and Conv2DTranspose.

Thank you ! @olive380,
Thank you for the issue. By default Tensorflow v2.16.1 contains keras3.0 version which might be the issue, as you mentioned this feature is available in Tensorflow v2.15 which contains tf-keras. If the same feature needs to be implemented in the keras3.0, could you please raise the request in [keras-team/Keras](https://github.com/keras-team/keras/issues) repo for the quick response. Thank you!
### Issue type

Bug

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

No

### Source

source

### TensorFlow version

tf2.16.1

### Custom code

Yes

### OS platform and distribution

Linux Ubuntu 20.04 LTS

### Mobile device

_No response_

### Python version

3.9.16

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

With TF2.16, it is no more possible to set output_padding=0 when using Conv1DTranspose.
This feature is still needed and was allowed in previous versions of TF (e..g TF2.15).


### Standalone code to reproduce the issue

```shell
To reproduce the bug, please use the following python script : 
[models.zip](https://github.com/tensorflow/tensorflow/files/15414612/models.zip)
```


### Relevant log output

```shell
File "tf2.16/lib/python3.9/site-packages/keras/src/layers/convolutional/conv1d_transpose.py", line 113, in __init__
    super().__init__(
  File "tf2.16/lib/python3.9/site-packages/keras/src/layers/convolutional/base_conv_transpose.py", line 111, in __init__
    self.output_padding = standardize_tuple(
  File "tf2.16/lib/python3.9/site-packages/keras/src/utils/argument_validation.py", line 51, in standardize_tuple
    raise ValueError(error_msg)
ValueError: The `output_padding` argument must be a tuple of 1 integers. Received output_padding=0, including values {0} that do not satisfy `value > 0`
```
