Use absl::Status and co explicitly
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c6c80c3745
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@ -58,7 +58,7 @@ MEDIAPIPE_REGISTER_NODE(MatrixToVectorCalculator);
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absl::Status MatrixToVectorCalculator::Open(CalculatorContext* cc) {
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cc->SetOffset(0);
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return mediapipe::OkStatus();
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return absl::OkStatus();
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}
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absl::Status MatrixToVectorCalculator::Process(CalculatorContext* cc) {
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@ -63,7 +63,7 @@ absl::StatusOr<Packet<TfLiteModelPtr>> InferenceCalculator::GetModelAsPacket(
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return TfLiteModelLoader::LoadFromPath(options.model_path());
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}
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if (!kSideInModel(cc).IsEmpty()) return kSideInModel(cc);
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return absl::Status(mediapipe::StatusCode::kNotFound,
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return absl::Status(absl::StatusCode::kNotFound,
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"Must specify TFLite model as path or loaded model.");
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}
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@ -144,11 +144,10 @@ absl::Status InferenceCalculatorGlImpl::Open(CalculatorContext* cc) {
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}
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MP_RETURN_IF_ERROR(gpu_helper_.Open(cc));
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MP_RETURN_IF_ERROR(
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gpu_helper_.RunInGlContext([this, &cc]() -> ::mediapipe::Status {
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return use_advanced_gpu_api_ ? InitTFLiteGPURunner(cc)
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: LoadDelegateAndAllocateTensors(cc);
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}));
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MP_RETURN_IF_ERROR(gpu_helper_.RunInGlContext([this, &cc]() -> absl::Status {
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return use_advanced_gpu_api_ ? InitTFLiteGPURunner(cc)
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: LoadDelegateAndAllocateTensors(cc);
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}));
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return absl::OkStatus();
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}
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@ -162,7 +161,7 @@ absl::Status InferenceCalculatorGlImpl::Process(CalculatorContext* cc) {
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if (use_advanced_gpu_api_) {
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MP_RETURN_IF_ERROR(gpu_helper_.RunInGlContext(
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[this, &input_tensors, &output_tensors]() -> ::mediapipe::Status {
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[this, &input_tensors, &output_tensors]() -> absl::Status {
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for (int i = 0; i < input_tensors.size(); ++i) {
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MP_RETURN_IF_ERROR(tflite_gpu_runner_->BindSSBOToInputTensor(
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input_tensors[i].GetOpenGlBufferReadView().name(), i));
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@ -177,8 +176,8 @@ absl::Status InferenceCalculatorGlImpl::Process(CalculatorContext* cc) {
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return absl::OkStatus();
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}));
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} else {
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MP_RETURN_IF_ERROR(gpu_helper_.RunInGlContext(
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[this, &input_tensors]() -> ::mediapipe::Status {
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MP_RETURN_IF_ERROR(
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gpu_helper_.RunInGlContext([this, &input_tensors]() -> absl::Status {
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// Explicitly copy input.
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for (int i = 0; i < input_tensors.size(); ++i) {
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glBindBuffer(GL_COPY_READ_BUFFER,
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@ -200,8 +199,8 @@ absl::Status InferenceCalculatorGlImpl::Process(CalculatorContext* cc) {
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}
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if (use_gpu_delegate_) {
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MP_RETURN_IF_ERROR(gpu_helper_.RunInGlContext(
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[this, &output_tensors]() -> ::mediapipe::Status {
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MP_RETURN_IF_ERROR(
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gpu_helper_.RunInGlContext([this, &output_tensors]() -> absl::Status {
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output_tensors->reserve(output_shapes_.size());
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for (int i = 0; i < output_shapes_.size(); ++i) {
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const auto& t = gpu_buffers_out_[i];
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@ -250,7 +249,7 @@ absl::Status InferenceCalculatorGlImpl::SaveGpuCaches() {
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absl::Status InferenceCalculatorGlImpl::Close(CalculatorContext* cc) {
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MP_RETURN_IF_ERROR(SaveGpuCaches());
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if (use_gpu_delegate_) {
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MP_RETURN_IF_ERROR(gpu_helper_.RunInGlContext([this]() -> Status {
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MP_RETURN_IF_ERROR(gpu_helper_.RunInGlContext([this]() -> absl::Status {
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gpu_buffers_in_.clear();
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gpu_buffers_out_.clear();
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// Delegate must outlive the interpreter, hence the order is important.
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@ -367,7 +367,8 @@ absl::Status SceneCameraMotionAnalyzer::PopulateFocusPointFrames(
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scene_summary, focus_point_frame_type, scene_frame_timestamps,
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focus_point_frames);
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} else {
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return absl::Status(StatusCode::kInvalidArgument, "Unknown motion type.");
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return absl::Status(absl::StatusCode::kInvalidArgument,
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"Unknown motion type.");
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}
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}
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@ -50,7 +50,7 @@ TEST(VisualScorerTest, ScoresSharpness) {
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image_mat.setTo(cv::Scalar(0, 0, 0));
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float score_rect = 0;
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auto status = scorer.CalculateScore(image_mat, region, &score_rect);
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EXPECT_EQ(status.code(), StatusCode::kInvalidArgument);
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EXPECT_EQ(status.code(), absl::StatusCode::kInvalidArgument);
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}
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TEST(VisualScorerTest, ScoresColorfulness) {
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@ -257,19 +257,19 @@ struct First {
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template <class T>
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struct AddStatus {
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using type = StatusOr<T>;
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using type = absl::StatusOr<T>;
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};
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template <class T>
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struct AddStatus<StatusOr<T>> {
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using type = StatusOr<T>;
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struct AddStatus<absl::StatusOr<T>> {
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using type = absl::StatusOr<T>;
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};
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template <>
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struct AddStatus<Status> {
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using type = Status;
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struct AddStatus<absl::Status> {
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using type = absl::Status;
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};
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template <>
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struct AddStatus<void> {
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using type = Status;
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using type = absl::Status;
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};
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template <class R, class F, class... A>
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@ -280,7 +280,7 @@ struct CallAndAddStatusImpl {
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};
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template <class F, class... A>
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struct CallAndAddStatusImpl<void, F, A...> {
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Status operator()(const F& f, A&&... a) {
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absl::Status operator()(const F& f, A&&... a) {
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f(std::forward<A>(a)...);
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return {};
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}
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@ -69,14 +69,14 @@ StatusBuilder&& StatusBuilder::SetNoLogging() && {
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return std::move(SetNoLogging());
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}
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StatusBuilder::operator Status() const& {
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StatusBuilder::operator absl::Status() const& {
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if (!stream_ || stream_->str().empty() || no_logging_) {
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return status_;
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}
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return StatusBuilder(*this).JoinMessageToStatus();
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}
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StatusBuilder::operator Status() && {
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StatusBuilder::operator absl::Status() && {
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if (!stream_ || stream_->str().empty() || no_logging_) {
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return status_;
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}
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@ -97,7 +97,7 @@ absl::Status StatusBuilder::JoinMessageToStatus() {
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? absl::StrCat(stream_->str(), status_.message())
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: absl::StrCat(status_.message(), stream_->str());
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}
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return Status(status_.code(), message);
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return absl::Status(status_.code(), message);
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}
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} // namespace mediapipe
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@ -92,8 +92,8 @@ class ABSL_MUST_USE_RESULT StatusBuilder {
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return std::move(*this << msg);
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}
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operator Status() const&;
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operator Status() &&;
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operator absl::Status() const&;
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operator absl::Status() &&;
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absl::Status JoinMessageToStatus();
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@ -30,7 +30,7 @@ TEST(Status, OK) {
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}
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TEST(DeathStatus, CheckOK) {
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Status status(absl::StatusCode::kInvalidArgument, "Invalid");
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absl::Status status(absl::StatusCode::kInvalidArgument, "Invalid");
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ASSERT_DEATH(MEDIAPIPE_CHECK_OK(status), "Invalid");
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}
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@ -94,7 +94,7 @@ const Packet& OutputStreamShard::Header() const {
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// binary. This function can be defined in the .cc file because only two
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// versions are ever instantiated, and all call sites are within this .cc file.
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template <typename T>
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Status OutputStreamShard::AddPacketInternal(T&& packet) {
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absl::Status OutputStreamShard::AddPacketInternal(T&& packet) {
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if (IsClosed()) {
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return mediapipe::FailedPreconditionErrorBuilder(MEDIAPIPE_LOC)
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<< "Packet sent to closed stream \"" << Name() << "\".";
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@ -113,7 +113,7 @@ Status OutputStreamShard::AddPacketInternal(T&& packet) {
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<< timestamp.DebugString();
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}
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Status result = output_stream_spec_->packet_type->Validate(packet);
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absl::Status result = output_stream_spec_->packet_type->Validate(packet);
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if (!result.ok()) {
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return StatusBuilder(result, MEDIAPIPE_LOC).SetPrepend() << absl::StrCat(
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"Packet type mismatch on calculator outputting to stream \"",
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@ -132,14 +132,14 @@ Status OutputStreamShard::AddPacketInternal(T&& packet) {
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}
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void OutputStreamShard::AddPacket(const Packet& packet) {
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Status status = AddPacketInternal(packet);
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absl::Status status = AddPacketInternal(packet);
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if (!status.ok()) {
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output_stream_spec_->TriggerErrorCallback(status);
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}
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}
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void OutputStreamShard::AddPacket(Packet&& packet) {
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Status status = AddPacketInternal(std::move(packet));
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absl::Status status = AddPacketInternal(std::move(packet));
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if (!status.ok()) {
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output_stream_spec_->TriggerErrorCallback(status);
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}
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@ -144,7 +144,7 @@ const proto_ns::MessageLite& Packet::GetProtoMessageLite() const {
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return *proto;
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}
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StatusOr<std::vector<const proto_ns::MessageLite*>>
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absl::StatusOr<std::vector<const proto_ns::MessageLite*>>
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Packet::GetVectorOfProtoMessageLitePtrs() const {
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if (holder_ == nullptr) {
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return absl::InternalError("Packet is empty.");
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@ -174,7 +174,7 @@ class Packet {
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// object type is a vector of MessageLite data, returns an error otherwise.
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// Note: This function is meant to be used internally within the MediaPipe
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// framework only.
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StatusOr<std::vector<const proto_ns::MessageLite*>>
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absl::StatusOr<std::vector<const proto_ns::MessageLite*>>
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GetVectorOfProtoMessageLitePtrs() const;
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// Returns an error if the packet does not contain data of type T.
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@ -394,7 +394,7 @@ class HolderBase {
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// Returns a vector<MessageLite*> for the data in the holder, if the
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// underlying object is a vector of protocol buffer objects, otherwise,
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// returns an error.
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virtual StatusOr<std::vector<const proto_ns::MessageLite*>>
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virtual absl::StatusOr<std::vector<const proto_ns::MessageLite*>>
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GetVectorOfProtoMessageLite() const = 0;
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virtual bool HasForeignOwner() const { return false; }
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@ -424,7 +424,7 @@ struct is_proto_vector<std::vector<ItemT, Allocator>>
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// Helper function to create and return a vector of pointers to proto message
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// elements of the vector passed into the function.
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template <typename T>
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StatusOr<std::vector<const proto_ns::MessageLite*>>
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absl::StatusOr<std::vector<const proto_ns::MessageLite*>>
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ConvertToVectorOfProtoMessageLitePtrs(const T* data,
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/*is_proto_vector=*/std::false_type) {
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return absl::InvalidArgumentError(absl::StrCat(
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@ -433,7 +433,7 @@ ConvertToVectorOfProtoMessageLitePtrs(const T* data,
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}
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template <typename T>
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StatusOr<std::vector<const proto_ns::MessageLite*>>
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absl::StatusOr<std::vector<const proto_ns::MessageLite*>>
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ConvertToVectorOfProtoMessageLitePtrs(const T* data,
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/*is_proto_vector=*/std::true_type) {
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std::vector<const proto_ns::MessageLite*> result;
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@ -562,7 +562,7 @@ class Holder : public HolderBase {
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// Returns a vector<MessageLite*> for the data in the holder, if the
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// underlying object is a vector of protocol buffer objects, otherwise,
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// returns an error.
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StatusOr<std::vector<const proto_ns::MessageLite*>>
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absl::StatusOr<std::vector<const proto_ns::MessageLite*>>
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GetVectorOfProtoMessageLite() const override {
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return ConvertToVectorOfProtoMessageLitePtrs(ptr_, is_proto_vector<T>());
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}
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@ -496,7 +496,7 @@ TEST(PacketTest, PacketFromSerializedProto) {
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original.add_value("foo");
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std::string serialized = original.SerializeAsString();
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StatusOr<Packet> maybe_packet = packet_internal::PacketFromDynamicProto(
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absl::StatusOr<Packet> maybe_packet = packet_internal::PacketFromDynamicProto(
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"mediapipe.SimpleProto", serialized);
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MP_ASSERT_OK(maybe_packet);
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Packet packet = maybe_packet.value();
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@ -670,7 +670,7 @@ absl::Status GraphProfiler::CaptureProfile(
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previous_log_end_time_ = end_time;
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// Record the latest CalculatorProfiles.
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Status status;
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absl::Status status;
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std::vector<CalculatorProfile> profiles;
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status.Update(GetCalculatorProfiles(&profiles));
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for (CalculatorProfile& p : profiles) {
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@ -16,7 +16,7 @@
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namespace mediapipe {
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StatusOr<std::string> GetDefaultTraceLogDirectory() {
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absl::StatusOr<std::string> GetDefaultTraceLogDirectory() {
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return std::string("/tmp");
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}
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@ -25,11 +25,11 @@ namespace mediapipe {
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// Returns the path to the directory where trace logs will be stored by default.
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// If the function is unable to find an appropriate directory, it returns an
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// error.
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StatusOr<std::string> GetDefaultTraceLogDirectory();
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absl::StatusOr<std::string> GetDefaultTraceLogDirectory();
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// Given a log file path, this function provides an absolute path with which
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// it can be accessed as a file. Enclosing directories are created as needed.
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StatusOr<std::string> PathToLogFile(const std::string& path);
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absl::StatusOr<std::string> PathToLogFile(const std::string& path);
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} // namespace mediapipe
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@ -20,11 +20,11 @@
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namespace mediapipe {
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StatusOr<std::string> GetDefaultTraceLogDirectory() {
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absl::StatusOr<std::string> GetDefaultTraceLogDirectory() {
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// The path to external storage directory on a device doesn't change when an
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// application is running, hence can be stored as global state.
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static const StatusOr<std::string>* kExternalStorageDirectory = [] {
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StatusOr<std::string>* result = new StatusOr<std::string>();
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static const absl::StatusOr<std::string>* kExternalStorageDirectory = [] {
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absl::StatusOr<std::string>* result = new absl::StatusOr<std::string>();
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bool has_jvm = java::HasJavaVM();
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if (!has_jvm) {
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*result = absl::InternalError("JavaVM not available.");
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@ -2,7 +2,7 @@
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namespace mediapipe {
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StatusOr<std::string> GetDefaultTraceLogDirectory() {
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absl::StatusOr<std::string> GetDefaultTraceLogDirectory() {
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return "/data/local/tmp";
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}
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@ -20,7 +20,7 @@
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namespace mediapipe {
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StatusOr<std::string> GetDefaultTraceLogDirectory() {
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absl::StatusOr<std::string> GetDefaultTraceLogDirectory() {
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// Get the Documents directory. iOS apps can write files to this directory.
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NSURL* documents_directory_url = [[[NSFileManager defaultManager]
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URLsForDirectory:NSDocumentDirectory
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@ -146,14 +146,14 @@ TEST(Reporter, PrintAllColumns) {
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TEST(Reporter, CanReportBadColumns) {
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auto reporter = loadReporter({"profile_opencv_0.binarypb"});
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auto result = reporter->set_columns({"il[leg]al"});
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EXPECT_EQ(result.code(), StatusCode::kInvalidArgument);
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EXPECT_EQ(result.code(), absl::StatusCode::kInvalidArgument);
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EXPECT_EQ(result.message(), "Column 'il[leg]al' is invalid.\n");
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}
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TEST(Reporter, CanReportNonMatchingColumns) {
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auto reporter = loadReporter({"profile_opencv_0.binarypb"});
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auto result = reporter->set_columns({"time_*", "il[leg]al"});
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EXPECT_EQ(result.code(), StatusCode::kInvalidArgument);
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EXPECT_EQ(result.code(), absl::StatusCode::kInvalidArgument);
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EXPECT_EQ(result.message(), "Column 'il[leg]al' is invalid.\n");
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// Should not affect active columns, which is currently still "*".
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auto report = reporter->Report();
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@ -164,7 +164,7 @@ TEST(Reporter, CanReportNonMatchingColumns) {
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TEST(Reporter, BadPatternsIgnored) {
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auto reporter = loadReporter({"profile_opencv_0.binarypb"});
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auto result = reporter->set_columns({"time_mean", "il[leg]al", "^bad"});
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EXPECT_EQ(result.code(), StatusCode::kInvalidArgument);
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EXPECT_EQ(result.code(), absl::StatusCode::kInvalidArgument);
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// Can report multiple errors at once, separated by newlines.
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EXPECT_EQ(result.message(),
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"Column 'il[leg]al' is invalid.\n"
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@ -177,7 +177,7 @@ TEST(Reporter, BadPatternsIgnored) {
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TEST(Reporter, NonMatchingColumnsIgnored) {
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auto reporter = loadReporter({"profile_opencv_0.binarypb"});
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auto result = reporter->set_columns({"koopa*"});
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EXPECT_EQ(result.code(), StatusCode::kInvalidArgument);
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EXPECT_EQ(result.code(), absl::StatusCode::kInvalidArgument);
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EXPECT_EQ(result.message(), "Column 'koopa*' did not match any columns.\n");
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}
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@ -268,7 +268,7 @@ FieldData SerializeProtobufAny(const FieldData& data) {
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}
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// Returns the field index of an extension type in a repeated field.
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StatusOr<int> FindExtensionIndex(const FieldData& message_data,
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absl::StatusOr<int> FindExtensionIndex(const FieldData& message_data,
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FieldPathEntry* entry) {
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if (entry->field == nullptr || !IsProtobufAny(entry->field)) {
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return -1;
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@ -447,7 +447,7 @@ absl::Status GetNodeOptions(const FieldData& message_data,
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std::string parent_type = options_field_util::ParseTypeUrl(
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std::string(message_data.message_value().type_url()));
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FieldPath path;
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Status status;
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absl::Status status;
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path = GetExtensionPath(parent_type, extension_type, kOptionsName, false);
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status = GetField(path, message_data, result);
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if (status.ok()) {
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@ -467,7 +467,7 @@ absl::Status GetGraphOptions(const FieldData& message_data,
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std::string parent_type = options_field_util::ParseTypeUrl(
|
||||
std::string(message_data.message_value().type_url()));
|
||||
FieldPath path;
|
||||
Status status;
|
||||
absl::Status status;
|
||||
path = GetExtensionPath(parent_type, extension_type, kOptionsName, false);
|
||||
status = GetField(path, message_data, result);
|
||||
if (status.ok()) {
|
||||
|
|
|
@ -59,7 +59,7 @@ std::string MessageType(FieldData message) {
|
|||
// Copy literal options from graph_options to node_options.
|
||||
absl::Status CopyLiteralOptions(CalculatorGraphConfig::Node parent_node,
|
||||
CalculatorGraphConfig* config) {
|
||||
Status status;
|
||||
absl::Status status;
|
||||
FieldData graph_data = options_field_util::AsFieldData(*config);
|
||||
FieldData parent_data = options_field_util::AsFieldData(parent_node);
|
||||
|
||||
|
@ -105,7 +105,7 @@ absl::Status CopyLiteralOptions(CalculatorGraphConfig::Node parent_node,
|
|||
absl::Status DefineGraphOptions(const CalculatorGraphConfig::Node& parent_node,
|
||||
CalculatorGraphConfig* config) {
|
||||
MP_RETURN_IF_ERROR(CopyLiteralOptions(parent_node, config));
|
||||
return mediapipe::OkStatus();
|
||||
return absl::OkStatus();
|
||||
}
|
||||
|
||||
} // namespace tool
|
||||
|
|
|
@ -37,15 +37,15 @@ using FieldType = ::mediapipe::proto_ns::FieldDescriptorProto::Type;
|
|||
class NightLightCalculator : public CalculatorBase {
|
||||
public:
|
||||
static absl::Status GetContract(CalculatorContract* cc) {
|
||||
return mediapipe::OkStatus();
|
||||
return absl::OkStatus();
|
||||
}
|
||||
|
||||
absl::Status Open(CalculatorContext* cc) final {
|
||||
return mediapipe::OkStatus();
|
||||
return absl::OkStatus();
|
||||
}
|
||||
|
||||
absl::Status Process(CalculatorContext* cc) final {
|
||||
return mediapipe::OkStatus();
|
||||
return absl::OkStatus();
|
||||
}
|
||||
|
||||
private:
|
||||
|
|
|
@ -58,8 +58,8 @@ absl::Status CombinedStatus(const std::string& general_comment,
|
|||
}
|
||||
}
|
||||
}
|
||||
if (error_code == StatusCode::kOk) return OkStatus();
|
||||
Status combined = absl::Status(
|
||||
if (error_code == absl::StatusCode::kOk) return absl::OkStatus();
|
||||
absl::Status combined = absl::Status(
|
||||
error_code,
|
||||
absl::StrCat(general_comment, "\n", absl::StrJoin(errors, "\n")));
|
||||
return combined;
|
||||
|
|
|
@ -149,7 +149,7 @@ absl::Status GpuResources::PrepareGpuNode(CalculatorNode* node) {
|
|||
context->SetProfilingContext(
|
||||
node->GetCalculatorState().GetSharedProfilingContext());
|
||||
|
||||
return OkStatus();
|
||||
return absl::OkStatus();
|
||||
}
|
||||
|
||||
// TODO: expose and use an actual ID instead of using the
|
||||
|
|
|
@ -56,12 +56,12 @@ Detection TensorToDetection(
|
|||
return detection;
|
||||
}
|
||||
|
||||
Status TensorsToDetections(const ::tensorflow::Tensor& num_detections,
|
||||
const ::tensorflow::Tensor& boxes,
|
||||
const ::tensorflow::Tensor& scores,
|
||||
const ::tensorflow::Tensor& classes,
|
||||
const std::map<int, std::string>& label_map,
|
||||
std::vector<Detection>* detections) {
|
||||
absl::Status TensorsToDetections(const ::tensorflow::Tensor& num_detections,
|
||||
const ::tensorflow::Tensor& boxes,
|
||||
const ::tensorflow::Tensor& scores,
|
||||
const ::tensorflow::Tensor& classes,
|
||||
const std::map<int, std::string>& label_map,
|
||||
std::vector<Detection>* detections) {
|
||||
const ::tensorflow::Tensor empty_keypoints = ::tensorflow::Tensor(
|
||||
::tensorflow::DT_FLOAT, ::tensorflow::TensorShape({0, 0, 0}));
|
||||
const ::tensorflow::Tensor empty_masks = ::tensorflow::Tensor(
|
||||
|
@ -71,15 +71,15 @@ Status TensorsToDetections(const ::tensorflow::Tensor& num_detections,
|
|||
/*mask_threshold=*/0.0f, label_map, detections);
|
||||
}
|
||||
|
||||
Status TensorsToDetections(const ::tensorflow::Tensor& num_detections,
|
||||
const ::tensorflow::Tensor& boxes,
|
||||
const ::tensorflow::Tensor& scores,
|
||||
const ::tensorflow::Tensor& classes,
|
||||
const ::tensorflow::Tensor& keypoints,
|
||||
const ::tensorflow::Tensor& masks,
|
||||
float mask_threshold,
|
||||
const std::map<int, std::string>& label_map,
|
||||
std::vector<Detection>* detections) {
|
||||
absl::Status TensorsToDetections(const ::tensorflow::Tensor& num_detections,
|
||||
const ::tensorflow::Tensor& boxes,
|
||||
const ::tensorflow::Tensor& scores,
|
||||
const ::tensorflow::Tensor& classes,
|
||||
const ::tensorflow::Tensor& keypoints,
|
||||
const ::tensorflow::Tensor& masks,
|
||||
float mask_threshold,
|
||||
const std::map<int, std::string>& label_map,
|
||||
std::vector<Detection>* detections) {
|
||||
int num_boxes = -1;
|
||||
if (num_detections.dims() > 0 && num_detections.dim_size(0) != 0) {
|
||||
if (num_detections.dtype() != tf::DT_INT32) {
|
||||
|
|
Loading…
Reference in New Issue
Block a user