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[Backend]Add DisablePaddleTrtOPs (#788)

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* Add DisablePaddleTrtOPs

* Add delete_paddle_backend_pass disable_paddle_trt_ops pybind
This commit is contained in:
Jack Zhou
2022-12-05 10:03:52 +08:00
committed by GitHub
parent 6c31198342
commit 8c2d582925
6 changed files with 267 additions and 220 deletions
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26
fastdeploy/backends/paddle/paddle_backend.h Executable file → Normal file
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@@ -23,8 +23,8 @@
#ifdef ENABLE_PADDLE_FRONTEND
#include "paddle2onnx/converter.h"
#endif
#include "paddle_inference_api.h" // NOLINT
#include "fastdeploy/utils/unique_ptr.h"
#include "paddle_inference_api.h" // NOLINT
#ifdef ENABLE_TRT_BACKEND
#include "fastdeploy/backends/tensorrt/trt_backend.h"
@@ -60,6 +60,7 @@ struct PaddleBackendOption {
#ifdef ENABLE_TRT_BACKEND
TrtBackendOption trt_option;
bool collect_shape = false;
std::vector<std::string> trt_disabled_ops_{};
#endif
#ifdef WITH_IPU
@@ -91,8 +92,7 @@ void ShareTensorFromFDTensor(paddle_infer::Tensor* tensor, FDTensor& fd_tensor);
// if copy_to_fd is true, copy memory data to FDTensor
/// else share memory to FDTensor
void PaddleTensorToFDTensor(std::unique_ptr<paddle_infer::Tensor>& tensor,
FDTensor* fd_tensor,
bool copy_to_fd);
FDTensor* fd_tensor, bool copy_to_fd);
// Convert data type from paddle inference to fastdeploy
FDDataType PaddleDataTypeToFD(const paddle_infer::DataType& dtype);
@@ -106,20 +106,18 @@ class PaddleBackend : public BaseBackend {
virtual ~PaddleBackend() = default;
void BuildOption(const PaddleBackendOption& option);
bool InitFromPaddle(
const std::string& model_file, const std::string& params_file,
const PaddleBackendOption& option = PaddleBackendOption());
bool
InitFromPaddle(const std::string& model_file, const std::string& params_file,
const PaddleBackendOption& option = PaddleBackendOption());
bool Infer(std::vector<FDTensor>& inputs,
std::vector<FDTensor>* outputs,
bool Infer(std::vector<FDTensor>& inputs, std::vector<FDTensor>* outputs,
bool copy_to_fd = true) override;
int NumInputs() const override { return inputs_desc_.size(); }
int NumOutputs() const override { return outputs_desc_.size(); }
std::unique_ptr<BaseBackend> Clone(void *stream = nullptr,
std::unique_ptr<BaseBackend> Clone(void* stream = nullptr,
int device_id = -1) override;
TensorInfo GetInputInfo(int index) override;
@@ -129,9 +127,11 @@ class PaddleBackend : public BaseBackend {
private:
#ifdef ENABLE_TRT_BACKEND
void CollectShapeRun(paddle_infer::Predictor* predictor,
const std::map<std::string, std::vector<int>>& shape) const;
void GetDynamicShapeFromOption(const PaddleBackendOption& option,
void
CollectShapeRun(paddle_infer::Predictor* predictor,
const std::map<std::string, std::vector<int>>& shape) const;
void GetDynamicShapeFromOption(
const PaddleBackendOption& option,
std::map<std::string, std::vector<int>>* max_shape,
std::map<std::string, std::vector<int>>* min_shape,
std::map<std::string, std::vector<int>>* opt_shape) const;