[Backend] support bechmark mode for runtime and backend (#1201)

* [backend] support bechmark mode for runtime and backend

* [backend] support bechmark mode for runtime and backend

* [pybind11] add benchmark methods pybind

* [pybind11] add benchmark methods pybind

* [Other] Update build scripts

* [Other] Update cmake/summary.cmake

* [Other] update build scripts

* [Other] add ENABLE_BENCHMARK option -> setup.py

* optimize backend time recording

* optimize backend time recording

* optimize trt backend time record

* [backend] optimze backend_time recording for trt

* [benchmark] remove redundant logs

* fixed ov_backend confilct

* [benchmark] fixed paddle_backend conflicts

* [benchmark] fixed paddle_backend conflicts

* [benchmark] fixed paddle_backend conflicts

* [benchmark] remove use_gpu option from ort backend option

* [benchmark] update benchmark_ppdet.py

* [benchmark] update benchmark_ppcls.py

* fixed lite backend conflicts

* [Lite] fixed lite xpu

* add benchmark macro

* add RUNTIME_PROFILE_LOOP macros

* add comments for RUNTIME_PROFILE macros

* add comments for new apis

* add comments for new apis

* update benchmark_ppdet.py

* afixed bugs

* remove unused codes

* optimize RUNTIME_PROFILE_LOOP macros

* optimize RUNTIME_PROFILE_LOOP macros

* add comments for benchmark option and result

* add docs for benchmark namespace
This commit is contained in:
DefTruth
2023-02-06 14:29:35 +08:00
committed by GitHub
parent 42d14e7119
commit f73a538f61
34 changed files with 741 additions and 91 deletions

View File

@@ -13,9 +13,6 @@
// limitations under the License.
#include "fastdeploy/runtime/backends/ort/ort_backend.h"
#include <memory>
#include "fastdeploy/core/float16.h"
#include "fastdeploy/runtime/backends/ort/ops/adaptive_pool2d.h"
#include "fastdeploy/runtime/backends/ort/ops/multiclass_nms.h"
@@ -25,6 +22,9 @@
#include "paddle2onnx/converter.h"
#endif
#include <memory>
namespace fastdeploy {
std::vector<OrtCustomOp*> OrtBackend::custom_operators_ =
@@ -258,6 +258,7 @@ bool OrtBackend::Infer(std::vector<FDTensor>& inputs,
}
// from FDTensor to Ort Inputs
RUNTIME_PROFILE_LOOP_H2D_D2H_BEGIN
for (size_t i = 0; i < inputs.size(); ++i) {
auto ort_value = CreateOrtValue(inputs[i], option_.device == Device::GPU);
binding_->BindInput(inputs[i].name.c_str(), ort_value);
@@ -270,12 +271,14 @@ bool OrtBackend::Infer(std::vector<FDTensor>& inputs,
}
// Inference with inputs
RUNTIME_PROFILE_LOOP_BEGIN(1)
try {
session_.Run({}, *(binding_.get()));
} catch (const std::exception& e) {
FDERROR << "Failed to Infer: " << e.what() << std::endl;
return false;
}
RUNTIME_PROFILE_LOOP_END
// Convert result after inference
std::vector<Ort::Value> ort_outputs = binding_->GetOutputValues();
@@ -284,7 +287,7 @@ bool OrtBackend::Infer(std::vector<FDTensor>& inputs,
OrtValueToFDTensor(ort_outputs[i], &((*outputs)[i]), outputs_desc_[i].name,
copy_to_fd);
}
RUNTIME_PROFILE_LOOP_H2D_D2H_END
return true;
}