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#include "tensorflow/core/common_runtime/kernel_benchmark_testlib.h"
#include "tensorflow/core/common_runtime/device.h"
#include "tensorflow/core/common_runtime/device_factory.h"
#include "tensorflow/core/framework/op.h"
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/framework/op_segment.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/lib/core/threadpool.h"
#include "tensorflow/core/lib/strings/str_util.h"
#include "tensorflow/core/util/device_name_utils.h"
#include "tensorflow/core/lib/core/notification.h"
#include "tensorflow/core/kernels/ops_util.h"
#include "tensorflow/core/platform/port.h"
#include "tensorflow/core/platform/test_benchmark.h"
#include "tensorflow/core/public/session_options.h"
#if defined(PLATFORM_GOOGLE)
DECLARE_bool(brain_gpu_use_bfc_allocator);
#else
extern bool FLAGS_brain_gpu_use_bfc_allocator;
#endif
namespace tensorflow {
namespace test {
Benchmark::Benchmark(const string& device, Graph* g,
const SessionOptions* options, Graph* init) {
RequireDefaultOps();
FLAGS_brain_gpu_use_bfc_allocator = true;
SessionOptions default_options;
if (!options) {
options = &default_options;
}
testing::StopTiming();
string t = str_util::Uppercase(device);
device_ =
DeviceFactory::NewDevice(t, *options, "/job:localhost/replica:0/task:0");
CHECK(device_) << "Could not create a " << device << " device";
pool_ = new thread::ThreadPool(options->env, "blocking",
port::NumSchedulableCPUs());
auto runner = [this](std::function<void()> closure) {
pool_->Schedule(closure);
};
rendez_ = NewLocalRendezvous();
if (init) {
Executor* init_exec;
TF_CHECK_OK(NewLocalExecutor(
{
device_, nullptr, false,
[this](const NodeDef& ndef, OpKernel** kernel) {
return CreateNonCachedKernel(device_, nullptr, ndef, kernel);
},
[](OpKernel* kernel) { DeleteNonCachedKernel(kernel); },
},
init, &init_exec));
Executor::Args args;
args.rendezvous = rendez_;
args.runner = runner;
TF_CHECK_OK(init_exec->Run(args));
delete init_exec;
}
TF_CHECK_OK(NewLocalExecutor(
{
device_,
nullptr,
false,
[this](const NodeDef& ndef, OpKernel** kernel) {
return CreateNonCachedKernel(device_, nullptr, ndef, kernel);
},
[](OpKernel* kernel) { DeleteNonCachedKernel(kernel); },
},
g, &exec_));
}
Benchmark::~Benchmark() {
if (device_) {
rendez_->Unref();
delete exec_;
delete device_;
delete pool_;
}
}
void Benchmark::Run(int iters) { RunWithArgs({}, {}, iters); }
string GetRendezvousKey(const Node* node) {
string send_device;
TF_CHECK_OK(GetNodeAttr(node->def(), "send_device", &send_device));
string recv_device;
TF_CHECK_OK(GetNodeAttr(node->def(), "recv_device", &recv_device));
string tensor_name;
TF_CHECK_OK(GetNodeAttr(node->def(), "tensor_name", &tensor_name));
uint64 send_device_incarnation;
TF_CHECK_OK(GetNodeAttr(node->def(), "send_device_incarnation",
reinterpret_cast<int64*>(&send_device_incarnation)));
return Rendezvous::CreateKey(send_device, send_device_incarnation,
recv_device, tensor_name, FrameAndIter(0, 0));
}
void Benchmark::RunWithArgs(
const std::vector<std::pair<const Node*, Tensor>>& inputs,
const std::vector<const Node*>& outputs, int iters) {
if (device_) {
// Gets inputs' and outputs' rendezvous keys.
std::vector<std::pair<string, Tensor>> in;
for (const auto& p : inputs) {
in.push_back({GetRendezvousKey(p.first), p.second});
}
std::vector<string> out;
for (const auto& n : outputs) {
out.push_back(GetRendezvousKey(n));
}
Tensor unused; // In benchmark, we don't care the return value.
bool is_dead;
// Warm up
Executor::Args args;
args.rendezvous = rendez_;
args.runner = [this](std::function<void()> closure) {
pool_->Schedule(closure);
};
for (int i = 0; i < 3; ++i) {
for (const auto& p : in) {
rendez_->Send(p.first, Rendezvous::Args(), p.second, false);
}
TF_CHECK_OK(exec_->Run(args));
for (const string& key : out) {
rendez_->Recv(key, Rendezvous::Args(), &unused, &is_dead);
}
}
TF_CHECK_OK(device_->Sync());
testing::StartTiming();
while (iters-- > 0) {
for (const auto& p : in) {
rendez_->Send(p.first, Rendezvous::Args(), p.second, false);
}
TF_CHECK_OK(exec_->Run(args));
for (const string& key : out) {
rendez_->Recv(key, Rendezvous::Args(), &unused, &is_dead);
}
}
TF_CHECK_OK(device_->Sync());
testing::StopTiming();
}
}
} // end namespace test
} // end namespace tensorflow
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