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RELEASE.md
* Add support for TensorArrays to `tf.data Dataset`. * Integrate Ragged Tensors with `tf.data`. * All core and experimental tf.data transformations that input user-defined functions can span multiple devices now. * Extending the TF 2.0 support for `shuffle(..., reshuffle_each_iteration=True)` and `cache()` to work across different Python iterators for the same dataset.
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.bazelrc
build --define framework_shared_object=true build --define tsl_protobuf_header_only=true build --define=use_fast_cpp_protos=true build --define=allow_oversize_protos=true build --spawn_strategy=standalone build -c opt # Make Bazel print out all options from rc files. build --announce_rc # TODO(mihaimaruseac): Document this option or remove if no longer needed build --define=grpc_no_ares=true
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