IntenseWebs/openvino
3
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Removed ov::runtime namespace (#9781)

Browse Source 
* Removed ov::runtime namespace

* clang-format

* Fixes

* template reference

* Fixes
This commit is contained in:
Ilya Lavrenov
2022-01-20 16:17:57 +03:00
committed by GitHub
parent 29c3b8e201
commit 8f3d030d79
362 changed files with 4231 additions and 4262 deletions
Download Patch File Download Diff File Expand all files Collapse all files

18
samples/cpp/speech_sample/main.cpp
View File

@@ -81,7 +81,7 @@ int main(int argc, char* argv[]) {
// --------------------------- Step 1. Initialize inference engine core and read model
// -------------------------------------
ov::runtime::Core core;
ov::Core core;
slog::info << "Loading model files:" << slog::endl << FLAGS_m << slog::endl;
std::shared_ptr<ov::Model> model = core.read_model(FLAGS_m);
check_number_of_inputs(model->inputs().size(), numInputFiles);
@@ -215,7 +215,7 @@ int main(int argc, char* argv[]) {
ms loadTime = std::chrono::duration_cast<ms>(Time::now() - t0);
slog::info << "Model loading time " << loadTime.count() << " ms" << slog::endl;
slog::info << "Loading model to the device " << FLAGS_d << slog::endl;
ov::runtime::CompiledModel executableNet;
ov::CompiledModel executableNet;
if (!FLAGS_m.empty()) {
slog::info << "Loading model to the device" << slog::endl;
executableNet = core.compile_model(model, deviceStr, genericPluginConfig);
@@ -247,7 +247,7 @@ int main(int argc, char* argv[]) {
}
// --------------------------- Step 4. Configure input & output
// --------------------------------------------------
std::vector<ov::runtime::Tensor> ptrInputBlobs;
std::vector<ov::Tensor> ptrInputBlobs;
auto cInputInfo = executableNet.inputs();
check_number_of_inputs(cInputInfo.size(), numInputFiles);
if (!FLAGS_iname.empty()) {
@@ -259,7 +259,7 @@ int main(int argc, char* argv[]) {
throw std::logic_error(errMessage);
}
for (const auto& input : inputNameBlobs) {
ov::runtime::Tensor blob = inferRequests.begin()->inferRequest.get_tensor(input);
ov::Tensor blob = inferRequests.begin()->inferRequest.get_tensor(input);
if (!blob) {
std::string errMessage("No blob with name : " + input);
throw std::logic_error(errMessage);
@@ -302,7 +302,7 @@ int main(int argc, char* argv[]) {
}
/** Work with each utterance **/
for (uint32_t utteranceIndex = 0; utteranceIndex < numUtterances; ++utteranceIndex) {
std::map<std::string, ov::runtime::ProfilingInfo> utterancePerfMap;
std::map<std::string, ov::ProfilingInfo> utterancePerfMap;
uint64_t totalNumberOfRunsOnHw = 0;
std::string uttName;
uint32_t numFrames(0), n(0);
@@ -381,7 +381,7 @@ int main(int argc, char* argv[]) {
for (auto& ut : ptrUtterances) {
inputFrame.push_back(&ut.front());
}
std::map<std::string, ov::runtime::ProfilingInfo> callPerfMap;
std::map<std::string, ov::ProfilingInfo> callPerfMap;
size_t frameIndex = 0;
uint32_t numFramesFile = numFrames;
numFrames += FLAGS_cw_l + FLAGS_cw_r;
@@ -415,7 +415,7 @@ int main(int argc, char* argv[]) {
outputFrame = &ptrScores.front() +
numScoresPerFrame * sizeof(float) * (inferRequest.frameIndex);
ov::runtime::Tensor outputBlob =
ov::Tensor outputBlob =
inferRequest.inferRequest.get_tensor(executableNet.outputs()[0]);
if (!FLAGS_oname.empty())
outputBlob =
@@ -426,7 +426,7 @@ int main(int argc, char* argv[]) {
}
if (!FLAGS_r.empty()) {
/** Compare output data with reference scores **/
ov::runtime::Tensor outputBlob =
ov::Tensor outputBlob =
inferRequest.inferRequest.get_tensor(executableNet.outputs()[0]);
if (!FLAGS_oname.empty())
outputBlob =
@@ -458,7 +458,7 @@ int main(int argc, char* argv[]) {
for (int i = 0; i < model->inputs().size(); i++) {
inferRequest.inferRequest.set_input_tensor(
i,
ov::runtime::Tensor(ov::element::f32, model->inputs()[i].get_shape(), inputFrame[0]));
ov::Tensor(ov::element::f32, model->inputs()[i].get_shape(), inputFrame[0]));
}
/* Starting inference in asynchronous mode*/
inferRequest.inferRequest.start_async();