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eager
rpc
BUILD
README.md
base_rendezvous_mgr.cc
base_rendezvous_mgr.h
call_options.cc
call_options.h
call_options_test.cc
cancellable_call.h
cluster_function_library_runtime.cc
cluster_function_library_runtime.h
cluster_function_library_runtime_test.cc
collective_param_resolver_distributed.cc
collective_param_resolver_distributed.h
collective_param_resolver_distributed_test.cc
collective_rma_distributed.cc
collective_rma_distributed.h
collective_rma_distributed_test.cc
device_resolver_distributed.cc
device_resolver_distributed.h
device_resolver_distributed_test.cc
graph_mgr.cc
graph_mgr.h
local_master.cc
local_master.h
master.cc
master.h
master_env.h
master_interface.h
master_session.cc
master_session.h
master_test.cc
message_wrappers.cc
message_wrappers.h
message_wrappers_test.cc
partial_run_mgr.cc
partial_run_mgr.h
partial_run_mgr_test.cc
recent_request_ids.cc
recent_request_ids.h
recent_request_ids_test.cc
remote_device.cc
remote_device.h
remote_device_test.cc
rendezvous_mgr_interface.h
request_id.cc
request_id.h
request_id_test.cc
rpc_collective_executor_mgr.cc
rpc_collective_executor_mgr.h
rpc_collective_executor_mgr_test.cc
rpcbench_test.cc
scheduler.cc
scheduler.h
server_lib.cc
server_lib.h
session_mgr.cc
session_mgr.h
session_mgr_test.cc
tensor_coding.cc
tensor_coding.h
tensor_coding_test.cc
test_utils.h
worker.cc
worker.h
worker_cache.h
worker_cache_logger.cc
worker_cache_logger.h
worker_cache_partial.cc
worker_cache_partial.h
worker_cache_wrapper.h
worker_env.h
worker_interface.h
worker_session.cc
worker_session.h

README.md

Distributed TensorFlow

This directory contains the initial open-source implementation of the distributed TensorFlow runtime, using gRPC for inter-process communication.

To learn how to use the distributed runtime to create a TensorFlow cluster, see the Distributed TensorFlow How-To.