experiments/STT-tensorflow
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Move cache_rpc_response from GrpcWorkerService to GrpcWorker, since the rpc cache is maintained by GrpcWorker.

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Imported from GitHub PR #29379

PiperOrigin-RevId: 257005058
This commit is contained in:
Jing Dong 2019-07-08 10:17:14 -07:00 committed by TensorFlower Gardener
parent 07323ccf85
commit 29c522fd3e
3 changed files with 13 additions and 14 deletions
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11
tensorflow/core/distributed_runtime/rpc/grpc_worker_service.cc
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@ -370,11 +370,6 @@ class GrpcWorkerService : public AsyncServiceInterface {
GrpcWorkerServiceOptions options)
: is_shutdown_(false) {
builder->RegisterService(&worker_service_);
// TODO(jingdong): it would be cleaner to move this option to GrpcWorker
// since the cache is maintained by GrpcWorker now.
if (options.cache_rpc_response) {
worker->EnableResponseCache();
}
for (int i = 0; i < options.num_serving_threads; i++) {
threads_.emplace_back(
@ -428,7 +423,11 @@ GrpcWorker::GrpcWorker(WorkerEnv* worker_env, const ConfigProto& config)
recv_buf_max_chunk_(
config.experimental().recv_buf_max_chunk() > 0
? config.experimental().recv_buf_max_chunk()
: (config.experimental().recv_buf_max_chunk() < 0 ? 0 : 4096)) {}
: (config.experimental().recv_buf_max_chunk() < 0 ? 0 : 4096)) {
if (config.rpc_options().cache_rpc_response()) {
EnableResponseCache();
}
}
void GrpcWorker::EnableResponseCache() {
VLOG(1) << "Enabling gRPC tensor response cache.";

8
tensorflow/core/distributed_runtime/rpc/grpc_worker_service.h
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@ -75,14 +75,6 @@ struct GrpcWorkerServiceOptions {
// default queue depth for a method.
std::unordered_map<int, int> queue_depth;
int num_serving_threads = 8;
// Setting cache_rpc_response to true will enable sender side caching of
// response for RecvTensorAsync and RecvBufAsync to allow receiver to retry
// requests . This is only necessary when the network fabric is experiencing a
// significant error rate. Without it we'll fail a step on an network error,
// while with it we'll be able to complete long steps (like complex
// initializations) in the face of some network errors during RecvTensor.
bool cache_rpc_response = false;
};
// Returns an implementation of WorkerService rpc service.

8
tensorflow/core/protobuf/config.proto
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@ -327,6 +327,14 @@ message RPCOptions {
// If compression_algorithm is set, the compression level to be used.
// From 0 (no compression), up to 3.
int32 compression_level = 3;
// Setting cache_rpc_response to true will enable sender side caching of
// response for RecvTensorAsync and RecvBufAsync to allow receiver to retry
// requests . This is only necessary when the network fabric is experiencing a
// significant error rate. Without it we'll fail a step on an network error,
// while with it we'll be able to complete long steps (like complex
// initializations) in the face of some network errors during RecvTensor.
bool cache_rpc_response = 4;
}
// Metadata about the session.