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ci/official/README.md
called "MLCI" that makes testing more convenient: it can execute any full CI job against a pending change. Search for "MLCI" internally to find it. You may invoke a CI script of your choice by following these instructions: ```bash cd tensorflow-git-dir # Here is a single-line example of running a script on Linux to build the
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RELEASE.md
* distribute.experimental.rpc package: * distribute.experimental.rpc package introduces APIs to create a GRPC based server to register tf.function methods and a GRPC client to invoke remote registered methods. RPC APIs are intended for multi-client setups i.e. server and clients are started in separate binaries independently. * Example usage to create server: ```python server =
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.bazelrc
build:rbe_cross_compile_base_xla --config=rbe_cross_compile_base build:rbe_cross_compile_base_xla --strategy=Genrule=standalone # Due to the above strategy, all Genrule commands are executed locally, but the # following actions invoke tools (E.g `flatc`, `llvm-tblgen`, etc.) that are # only executabe on the RBE (x86) machine, so the strategy_regexp options are # added to override and run the actions using remote strategy.
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