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RELEASE.md
* `tf.experimental.StructuredTensor` * Introduced `tf.experimental.StructuredTensor`, which provides a flexible and Tensorflow-native way to encode structured data such as protocol buffers or pandas dataframes. * `tf.keras`: * Added method `get_metrics_result()` to `tf.keras.models.Model`. * Returns the current metrics values of the model as a dict.
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ci/devinfra/docker_windows/Dockerfile
cryptography cycler Cython decorator google-api-python-client \ google-auth google-auth-httplib2 grpcio httplib2 idna ipython-genutils \ kiwisolver macholib matplotlib nose numpy packaging pandas pickleshare pip \ prompt-toolkit protobuf psutil pyasn1 pyasn1-modules pycparser Pygments \ pyparsing pyreadline python-dateutil pytz pywin32 requests rsa setuptools \
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