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[Backend] Add Huawei Ascend NPU deploy using PaddleLite CANN. (#757)

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* Add Huawei Ascend NPU deploy through PaddleLite CANN

* Add NNAdapter interface for paddlelite

* Modify Huawei Ascend Cmake

* Update way for compiling Huawei Ascend NPU deployment

* remove UseLiteBackend in UseCANN

* Support compile python whlee

* Change names of nnadapter API

* Add nnadapter pybind and remove useless API

* Support Python deployment on Huawei Ascend NPU

* Add models suppor for ascend

* Add PPOCR rec reszie for ascend

* fix conflict for ascend

* Rename CANN to Ascend

* Rename CANN to Ascend

* Improve ascend

* fix ascend bug

* improve ascend docs

* improve ascend docs

* improve ascend docs

* Improve Ascend

* Improve Ascend

* Move ascend python demo

* Imporve ascend

* Improve ascend

* Improve ascend

* Improve ascend

* Improve ascend

* Imporve ascend

* Imporve ascend

* Improve ascend
This commit is contained in:
yunyaoXYY
2022-12-26 10:18:34 +08:00
committed by GitHub
parent 2d3d941372
commit d45382e3cc
42 changed files with 714 additions and 29 deletions
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27
examples/vision/classification/paddleclas/cpp/infer.cc
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@@ -148,6 +148,31 @@ void TrtInfer(const std::string& model_dir, const std::string& image_file) {
std::cout << res.Str() << std::endl;
}
void AscendInfer(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.UseAscend();
auto model = fastdeploy::vision::classification::PaddleClasModel(
model_file, params_file, config_file, option);
assert(model.Initialized());
auto im = cv::imread(image_file);
fastdeploy::vision::ClassifyResult res;
if (!model.Predict(&im, &res)) {
std::cerr << "Failed to predict." << std::endl;
return;
}
std::cout << res.Str() << std::endl;
}
int main(int argc, char* argv[]) {
if (argc < 4) {
std::cout << "Usage: infer_demo path/to/model path/to/image run_option, "
@@ -169,6 +194,8 @@ int main(int argc, char* argv[]) {
IpuInfer(argv[1], argv[2]);
} else if (std::atoi(argv[3]) == 4) {
XpuInfer(argv[1], argv[2]);
} else if (std::atoi(argv[3]) == 5) {
AscendInfer(argv[1], argv[2]);
}
return 0;
}