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tensorflow_lite_support/tools/pip_package
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This PyPI package includes the Python bindings for following features:
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+ - Task Library: a set of powerful and easy-to-use task-specific libraries to
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+ integrate TFLite models onto various platforms. See the [Task Library
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+ documentation](https://www.tensorflow.org/lite/inference_with_metadata/task_library/overview)
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+ for more information.
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- Metadata schemas: wraps TFLite model schema and metadata schema in Python.
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- - Metadata populator and displayer: can be used to populate the metadata and
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+ - Metadata writer and displayer: can be used to populate the metadata and
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associated files into the model, as well as converting the populated metadata
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- into the json format.
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+ into the json format. See the [Metadata
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+ documentation](https://www.tensorflow.org/lite/convert/metadata) for more
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+ information.
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- Android Codegen tool: generates the Java model interface used in Android for
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- a particular model.
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+ a particular model. See the [Codegen tool
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+ documentation](https://www.tensorflow.org/lite/inference_with_metadata/codegen)
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+ for more information.
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"""
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from __future__ import absolute_import
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# This version string is semver compatible, but incompatible with pip.
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# For pip, we will remove all '-' characters from this string, and use the
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# result for pip.
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- _VERSION = '0.3 .0'
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+ _VERSION = '0.4 .0'
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SETUP_PACKAGES = [
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'pybind11 >= 2.6.0' ,
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