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Revert "[Backend] Add KunlunXin XPU deploy support" (#893)

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

This reverts commit 5be839b322.
This commit is contained in:
Jason
2022-12-15 21:17:59 +08:00
committed by GitHub
parent 5be839b322
commit 0990ab9b50
39 changed files with 58 additions and 870 deletions
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4
examples/vision/classification/paddleclas/cpp/README.md Executable file → Normal file
View File

@@ -30,10 +30,6 @@ wget https://gitee.com/paddlepaddle/PaddleClas/raw/release/2.4/deploy/images/Ima
./infer_demo ResNet50_vd_infer ILSVRC2012_val_00000010.jpeg 1
# GPU上TensorRT推理
./infer_demo ResNet50_vd_infer ILSVRC2012_val_00000010.jpeg 2
# IPU推理
./infer_demo ResNet50_vd_infer ILSVRC2012_val_00000010.jpeg 3
# KunlunXin XPU推理
./infer_demo ResNet50_vd_infer ILSVRC2012_val_00000010.jpeg 4
```
以上命令只适用于Linux或MacOS, Windows下SDK的使用方式请参考:

30
examples/vision/classification/paddleclas/cpp/infer.cc Executable file → Normal file
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@@ -96,32 +96,6 @@ 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";
@@ -154,7 +128,7 @@ 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; 3: run with ipu; 4: run with xpu."
"with gpu; 2: run with gpu and use tensorrt backend."
<< std::endl;
return -1;
}
@@ -167,8 +141,6 @@ 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;
}