lu-wang-g

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Thanks for the proposal, Wouter. We found item 10 and 11 very helpful in our use cases. It will be nice to support them in the new binary format.

Currently, only the Python Object API has type hint, and it's only available for the attributes in a table. Dropping Python2 will make Type Hint a lot easier.

FYI, as a Flatbuffer python API user, TFLite has stopped supporting Python3 to our users, so we are OK with this upgrade. In fact type annotations will be super helpful...

@schmidt-sebastian may you please help out here? Thanks!

Can you please provide more detailed description of your problem, such as code snippet, logs, error messages, etc.

Java text embedder is not supported at this moment. The most closest one is the Java [Searcher API](https://www.tensorflow.org/lite/inference_with_metadata/task_library/text_searcher), which takes a Searcher model (an embedder + index file) and returns...

This PR has a conflict with master. Need to resolve it before merging.

@lintian06 is this in Model Maker? Feel free to reassign it back to me if it's not.

For the first two errors, it seems that you didn't feed in input data for tensor 995 and tensor 869. You can open your model in https://lutzroeder.github.io/netron/ and check what...