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PiperOrigin-RevId: 483078695
This commit is contained in:
MediaPipe Team 2022-10-22 15:54:34 -07:00 committed by Copybara-Service
parent d8006a2f87
commit ab0193bbb7
4 changed files with 27 additions and 7 deletions
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7
mediapipe/calculators/tensor/inference_calculator_gl.cc
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@ -26,6 +26,8 @@
#include "mediapipe/gpu/gl_calculator_helper.h"
#include "tensorflow/lite/delegates/gpu/gl_delegate.h"
#define PERFETTO_TRACK_EVENT_NAMESPACE mediapipe
namespace mediapipe {
namespace api2 {
@ -191,7 +193,7 @@ absl::Status InferenceCalculatorGlImpl::GpuInferenceRunner::Process(
CalculatorContext* cc, const std::vector<Tensor>& input_tensors,
std::vector<Tensor>& output_tensors) {
return gpu_helper_.RunInGlContext(
[this, &input_tensors, &output_tensors]() -> absl::Status {
[this, cc, &input_tensors, &output_tensors]() -> absl::Status {
// Explicitly copy input.
for (int i = 0; i < input_tensors.size(); ++i) {
glBindBuffer(GL_COPY_READ_BUFFER,
@ -203,7 +205,10 @@ absl::Status InferenceCalculatorGlImpl::GpuInferenceRunner::Process(
}
// Run inference.
{
MEDIAPIPE_PROFILING(GPU_TASK_INVOKE, cc);
RET_CHECK_EQ(interpreter_->Invoke(), kTfLiteOk);
}
output_tensors.reserve(output_size_);
for (int i = 0; i < output_size_; ++i) {

13
mediapipe/calculators/tensor/inference_calculator_gl_advanced.cc
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@ -32,6 +32,8 @@
#include "mediapipe/util/android/file/base/helpers.h"
#endif // MEDIAPIPE_ANDROID
#define PERFETTO_TRACK_EVENT_NAMESPACE mediapipe
namespace mediapipe {
namespace api2 {
@ -83,7 +85,7 @@ class InferenceCalculatorGlAdvancedImpl
const mediapipe::InferenceCalculatorOptions::Delegate& delegate);
absl::StatusOr<std::vector<Tensor>> Process(
const std::vector<Tensor>& input_tensors);
CalculatorContext* cc, const std::vector<Tensor>& input_tensors);
absl::Status Close();
@ -121,11 +123,11 @@ absl::Status InferenceCalculatorGlAdvancedImpl::GpuInferenceRunner::Init(
absl::StatusOr<std::vector<Tensor>>
InferenceCalculatorGlAdvancedImpl::GpuInferenceRunner::Process(
const std::vector<Tensor>& input_tensors) {
CalculatorContext* cc, const std::vector<Tensor>& input_tensors) {
std::vector<Tensor> output_tensors;
MP_RETURN_IF_ERROR(gpu_helper_.RunInGlContext(
[this, &input_tensors, &output_tensors]() -> absl::Status {
[this, cc, &input_tensors, &output_tensors]() -> absl::Status {
for (int i = 0; i < input_tensors.size(); ++i) {
MP_RETURN_IF_ERROR(tflite_gpu_runner_->BindSSBOToInputTensor(
input_tensors[i].GetOpenGlBufferReadView().name(), i));
@ -138,7 +140,10 @@ InferenceCalculatorGlAdvancedImpl::GpuInferenceRunner::Process(
output_tensors.back().GetOpenGlBufferWriteView().name(), i));
}
// Run inference.
{
MEDIAPIPE_PROFILING(GPU_TASK_INVOKE, cc);
return tflite_gpu_runner_->Invoke();
}
}));
return output_tensors;
@ -354,7 +359,7 @@ absl::Status InferenceCalculatorGlAdvancedImpl::Process(CalculatorContext* cc) {
auto output_tensors = absl::make_unique<std::vector<Tensor>>();
ASSIGN_OR_RETURN(*output_tensors,
gpu_inference_runner_->Process(input_tensors));
gpu_inference_runner_->Process(cc, input_tensors));
kOutTensors(cc).Send(std::move(output_tensors));
return absl::OkStatus();

5
mediapipe/framework/calculator_profile.proto
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@ -133,7 +133,12 @@ message GraphTrace {
TPU_TASK = 13;
GPU_CALIBRATION = 14;
PACKET_QUEUED = 15;
GPU_TASK_INVOKE = 16;
TPU_TASK_INVOKE = 17;
}
// //depot/mediapipe/framework/mediapipe_profiling.h:profiler_census_tags,
// //depot/mediapipe/framework/profiler/trace_buffer.h:event_type_list,
// )
// The timing for one packet set being processed at one caclulator node.
message CalculatorTrace {

5
mediapipe/framework/profiler/trace_buffer.h
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@ -109,6 +109,11 @@ struct TraceEvent {
static constexpr EventType TPU_TASK = GraphTrace::TPU_TASK;
static constexpr EventType GPU_CALIBRATION = GraphTrace::GPU_CALIBRATION;
static constexpr EventType PACKET_QUEUED = GraphTrace::PACKET_QUEUED;
static constexpr EventType GPU_TASK_INVOKE = GraphTrace::GPU_TASK_INVOKE;
static constexpr EventType TPU_TASK_INVOKE = GraphTrace::TPU_TASK_INVOKE;
// //depot/mediapipe/framework/mediapipe_profiling.h:profiler_census_tags,
// //depot/mediapipe/framework/calculator_profile.proto:event_type,
// )
};
// Packet trace log buffer.