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[Backend] Add SetTrtMaxBatchSize function for TensorRT. (#526)

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* Imporve OCR Readme

* Improve OCR Readme

* Improve OCR Readme

* Improve OCR Readme

* Improve OCR Readme

* Add Initialize function to PP-OCR

* Add Initialize function to PP-OCR

* Add Initialize function to PP-OCR

* Make all the model links come from PaddleOCR

* Improve OCR readme

* Improve OCR readme

* Improve OCR readme

* Improve OCR readme

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add check for label file in postprocess of Rec model

* Add check for label file in postprocess of Rec model

* Add check for label file in postprocess of Rec model

* Add check for label file in postprocess of Rec model

* Add check for label file in postprocess of Rec model

* Add check for label file in postprocess of Rec model

* Add comments to create API docs

* Improve OCR comments

* Rename OCR and add comments

* Make sure previous python example works

* Make sure previous python example works

* Fix Rec model bug

* Fix Rec model bug

* Fix rec model bug

* Add SetTrtMaxBatchSize function for TensorRT

* Add SetTrtMaxBatchSize Pybind

* Add set_trt_max_batch_size python function

Co-authored-by: Jason <jiangjiajun@baidu.com>
This commit is contained in:
yunyaoXYY
2022-11-09 13:57:36 +08:00
committed by GitHub
parent ad04a4377c
commit 4706a7c32a
5 changed files with 21 additions and 5 deletions
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5
fastdeploy/backends/paddle/paddle_backend.cc
View File

@@ -36,7 +36,7 @@ void PaddleBackend::BuildOption(const PaddleBackendOption& option) {
FDWARNING << "Detect that tensorrt cache file has been set to " << option.trt_option.serialize_file << ", but while enable paddle2trt, please notice that the cache file will save to the directory where paddle model saved." << std::endl;
use_static = true;
}
config_.EnableTensorRtEngine(option.trt_option.max_workspace_size, 32, 3, precision, use_static);
config_.EnableTensorRtEngine(option.trt_option.max_workspace_size, option.trt_option.max_batch_size, 3, precision, use_static);
SetTRTDynamicShapeToConfig(option);
#else
FDWARNING << "The FastDeploy is not compiled with TensorRT backend, so will fallback to GPU with Paddle Inference Backend." << std::endl;
@@ -112,8 +112,9 @@ bool PaddleBackend::InitFromPaddle(const std::string& model_file,
FDWARNING << "Detect that tensorrt cache file has been set to " << option.trt_option.serialize_file << ", but while enable paddle2trt, please notice that the cache file will save to the directory where paddle model saved." << std::endl;
use_static = true;
}
config_.EnableTensorRtEngine(option.trt_option.max_workspace_size, 32, 3, paddle_infer::PrecisionType::kInt8, use_static, false);
config_.EnableTensorRtEngine(option.trt_option.max_workspace_size, option.trt_option.max_batch_size, 3, paddle_infer::PrecisionType::kInt8, use_static, false);
SetTRTDynamicShapeToConfig(option);
#endif
}
}

1
fastdeploy/pybind/runtime.cc
View File

@@ -42,6 +42,7 @@ void BindRuntime(pybind11::module& m) {
.def("set_lite_power_mode", &RuntimeOption::SetLitePowerMode)
.def("set_trt_input_shape", &RuntimeOption::SetTrtInputShape)
.def("set_trt_max_workspace_size", &RuntimeOption::SetTrtMaxWorkspaceSize)
.def("set_trt_max_batch_size", &RuntimeOption::SetTrtMaxBatchSize)
.def("enable_paddle_to_trt", &RuntimeOption::EnablePaddleToTrt)
.def("enable_trt_fp16", &RuntimeOption::EnableTrtFP16)
.def("disable_trt_fp16", &RuntimeOption::DisableTrtFP16)

3
fastdeploy/runtime.cc
View File

@@ -371,6 +371,9 @@ void RuntimeOption::SetTrtInputShape(const std::string& input_name,
void RuntimeOption::SetTrtMaxWorkspaceSize(size_t max_workspace_size) {
trt_max_workspace_size = max_workspace_size;
}
void RuntimeOption::SetTrtMaxBatchSize(size_t max_batch_size){
trt_max_batch_size = max_batch_size;
}
void RuntimeOption::EnableTrtFP16() { trt_enable_fp16 = true; }

3
fastdeploy/runtime.h
View File

@@ -200,6 +200,9 @@ struct FASTDEPLOY_DECL RuntimeOption {
/// Set max_workspace_size for TensorRT, default 1<<30
void SetTrtMaxWorkspaceSize(size_t trt_max_workspace_size);
/// Set max_batch_size for TensorRT, default 32
void SetTrtMaxBatchSize(size_t max_batch_size);
/**
* @brief Enable FP16 inference while using TensorRT backend. Notice: not all the GPU device support FP16, on those device doesn't support FP16, FastDeploy will fallback to FP32 automaticly
*/

10
python/fastdeploy/runtime.py
View File

@@ -18,6 +18,7 @@ from . import ModelFormat
from . import c_lib_wrap as C
from . import rknpu2
class Runtime:
"""FastDeploy Runtime object.
"""
@@ -207,7 +208,9 @@ class RuntimeOption:
"""
return self._option.use_cpu()
def use_rknpu2(self,rknpu2_name=rknpu2.CpuName.RK3588,rknpu2_core=rknpu2.CoreMask.RKNN_NPU_CORE_0):
def use_rknpu2(self,
rknpu2_name=rknpu2.CpuName.RK3588,
rknpu2_core=rknpu2.CoreMask.RKNN_NPU_CORE_0):
"""Inference with CPU
"""
return self._option.use_rknpu2(rknpu2_name, rknpu2_core)
@@ -344,6 +347,11 @@ class RuntimeOption:
"""
return self._option.set_trt_max_workspace_size(trt_max_workspace_size)
def set_trt_max_batch_size(self, trt_max_batch_size):
"""Set max batch size while using TensorRT backend.
"""
return self._option.set_trt_max_batch_size(trt_max_batch_size)
def enable_paddle_trt_collect_shape(self):
return self._option.enable_paddle_trt_collect_shape()