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[Backend] Add KunlunXin XPU deploy support (#747)

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* add xpu support

* fix docs

* update code

* update doc

* update code

* update yolov5

* update cmake

* add int64_t data support

* fix

* update download links

* add en doc

* update code

* update xpu options

* update doc

* update doc

* update doc

* update lib links

* update doc

* update code

* update lite xpu link

* update xpu lib

* update doc

* update en doc
This commit is contained in:
yeliang2258
2022-12-15 21:17:14 +08:00
committed by GitHub
parent 6e79df40d9
commit 5be839b322
39 changed files with 870 additions and 58 deletions
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30
examples/vision/classification/paddleclas/cpp/infer.cc Normal file → Executable file
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@@ -96,6 +96,32 @@ void IpuInfer(const std::string& model_dir, const std::string& image_file) {
std::cout << res.Str() << std::endl;
}
void XpuInfer(const std::string& model_dir, const std::string& image_file) {
auto model_file = model_dir + sep + "inference.pdmodel";
auto params_file = model_dir + sep + "inference.pdiparams";
auto config_file = model_dir + sep + "inference_cls.yaml";
auto option = fastdeploy::RuntimeOption();
option.UseXpu();
auto model = fastdeploy::vision::classification::PaddleClasModel(
model_file, params_file, config_file, option);
if (!model.Initialized()) {
std::cerr << "Failed to initialize." << std::endl;
return;
}
auto im = cv::imread(image_file);
fastdeploy::vision::ClassifyResult res;
if (!model.Predict(im, &res)) {
std::cerr << "Failed to predict." << std::endl;
return;
}
// print res
std::cout << res.Str() << std::endl;
}
void TrtInfer(const std::string& model_dir, const std::string& image_file) {
auto model_file = model_dir + sep + "inference.pdmodel";
auto params_file = model_dir + sep + "inference.pdiparams";
@@ -128,7 +154,7 @@ int main(int argc, char* argv[]) {
"e.g ./infer_demo ./ResNet50_vd ./test.jpeg 0"
<< std::endl;
std::cout << "The data type of run_option is int, 0: run with cpu; 1: run "
"with gpu; 2: run with gpu and use tensorrt backend."
"with gpu; 2: run with gpu and use tensorrt backend; 3: run with ipu; 4: run with xpu."
<< std::endl;
return -1;
}
@@ -141,6 +167,8 @@ int main(int argc, char* argv[]) {
TrtInfer(argv[1], argv[2]);
} else if (std::atoi(argv[3]) == 3) {
IpuInfer(argv[1], argv[2]);
} else if (std::atoi(argv[3]) == 4) {
XpuInfer(argv[1], argv[2]);
}
return 0;
}