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/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include "tensorflow/core/distributed_runtime/rpc/grpc_util.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/platform/test_benchmark.h"
#include "tensorflow/core/protobuf/worker.pb.h"
namespace tensorflow {
namespace {
string ToString(const grpc::ByteBuffer& buf) {
std::vector<grpc::Slice> slices;
CHECK(buf.Dump(&slices).ok());
string result;
for (const grpc::Slice& s : slices) {
result.append(reinterpret_cast<const char*>(s.begin()), s.size());
}
return result;
}
// Return a ByteBuffer that contains str split up into num_slices slices.
grpc::ByteBuffer MakeBuffer(const string& str, int num_slices) {
// Convert to a ByteBuffer.
std::vector<::grpc::Slice> slices;
const size_t per_slice = (str.size() + num_slices - 1) / num_slices;
for (size_t pos = 0; pos < str.size();) {
const size_t n = std::min(str.size() - pos, per_slice);
auto slice = grpc_slice_from_copied_buffer(&str[pos], n);
slices.push_back(::grpc::Slice(slice, ::grpc::Slice::STEAL_REF));
pos += n;
}
if (slices.empty()) {
slices.push_back(::grpc::Slice());
}
return ::grpc::ByteBuffer(&slices[0], slices.size());
}
// Make a proto with approximately the specified length.
CleanupAllRequest MakeProto(int size) {
int approx_size = 0;
CleanupAllRequest proto;
int index = 0;
while (approx_size < size) {
int item_size = std::min(size - approx_size, 1024);
proto.add_container(string(item_size, 'a' + static_cast<char>(index % 26)));
approx_size += item_size + 3; // +3 for encoding overhead.
index++;
}
return proto;
}
} // namespace
TEST(GrpcProto, Unparse) {
CleanupAllRequest proto;
proto.add_container("hello");
proto.add_container("world");
grpc::ByteBuffer buf;
GrpcUnparseProto(proto, &buf);
CleanupAllRequest parsed;
ASSERT_TRUE(parsed.ParseFromString(ToString(buf)));
ASSERT_EQ(proto.DebugString(), parsed.DebugString());
}
TEST(GrpcProto, Parse) {
// Test with serialization broken up into a bunch of slices.
struct Case {
int length;
int slices;
};
for (Case c : std::vector<Case>{
{0, 1},
{20, 1},
{100, 1},
{1 << 20, 1},
{100, 5},
{10000, 50},
}) {
CleanupAllRequest proto = MakeProto(c.length);
::grpc::ByteBuffer src = MakeBuffer(proto.SerializeAsString(), c.slices);
CleanupAllRequest parsed;
ASSERT_TRUE(GrpcParseProto(src, &parsed)) << c.length << " " << c.slices;
ASSERT_EQ(proto.DebugString(), parsed.DebugString());
}
}
static void BM_UnparseGrpc(int iters, int size) {
testing::StopTiming();
auto proto = MakeProto(size);
testing::StartTiming();
for (int i = 0; i < iters; i++) {
grpc::ByteBuffer buf;
GrpcUnparseProto(proto, &buf);
}
testing::StopTiming();
}
BENCHMARK(BM_UnparseGrpc)->Arg(1)->Arg(1 << 10)->Arg(1 << 20);
static void BM_UnparseString(int iters, int size) {
testing::StopTiming();
auto proto = MakeProto(size);
testing::StartTiming();
for (int i = 0; i < iters; i++) {
string buf;
proto.SerializeToString(&buf);
}
testing::StopTiming();
}
BENCHMARK(BM_UnparseString)->Arg(1)->Arg(1 << 10)->Arg(1 << 20);
static void BM_ParseGrpc(int iters, int size, int num_slices) {
testing::StopTiming();
CleanupAllRequest proto = MakeProto(size);
auto buf = MakeBuffer(proto.SerializeAsString(), num_slices);
testing::StartTiming();
for (int i = 0; i < iters; i++) {
CHECK(GrpcParseProto(buf, &proto));
}
testing::StopTiming();
}
BENCHMARK(BM_ParseGrpc)
->ArgPair(1, 1)
->ArgPair(1 << 10, 1)
->ArgPair(1 << 10, 4)
->ArgPair(1 << 20, 1)
->ArgPair(1 << 20, 4);
static void BM_ParseString(int iters, int size) {
testing::StopTiming();
CleanupAllRequest proto = MakeProto(size);
string serial = proto.SerializeAsString();
testing::StartTiming();
for (int i = 0; i < iters; i++) {
CHECK(proto.ParseFromString(serial));
}
testing::StopTiming();
}
BENCHMARK(BM_ParseString)->Arg(1)->Arg(1 << 10)->Arg(1 << 20);
} // namespace tensorflow
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