Niraj Singh

@mehransi @peiniliu, As your question is not a bug/performance/feature request, I would recommend you to open this issue in [TensorFlow Forum](https://discuss.tensorflow.org/) as there is a larger community there. Thanks!

Closing this due to inactivity. Please take a look into the answers provided above, feel free to reopen and post your comments(if you still have queries on this). Thank you!

@codernew007, Could you please share the model code and the complete error stack trace so we can better understand the issue? Thank you!

@codernew007, This is a known issue where cloud file system implementation has been moved to tensorflow-io. The suggested workaround is to pip install [tensorflow-io](https://pypi.org/project/tensorflow-io/) and import it. This has the...

Closing this due to inactivity. Please take a look into the answers provided above, feel free to reopen and post your comments(if you still have queries on this). Thank you!

Closing this due to inactivity. Please take a look into the answers provided above, feel free to reopen and post your comments(if you still have queries on this). Thank you!

@Saoqq, [TF serving 2.11.0](https://github.com/tensorflow/serving/releases/tag/2.11.0) is released. Please try the new release and let us know if your issue has been resolved. Thank you!

@battuzz, [TF serving 2.11.0](https://github.com/tensorflow/serving/releases/tag/2.11.0) is released. Please try the new release and let us know if your issue has been resolved. Thank you!

@RajezMariner, In TF-Serving, batching works by concatenating multiple input tensors along the 0th dimension (which is assumed to be the batch-size dimension), then calling Session::Run() on the concatenated tensor(s), and...

Closing this due to inactivity. Please feel free to reopen and post your comments(if you still have queries on this). Thank you!