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API Conformance report: C++ & Merge XML Part (#11245)

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* Separate Summary, OpSummary, ApiSummary

* final separatin

* ChangeNamespaces

* git status

* filename

* link error

* Fix linking

* Fix compilation

* Report - ieplugin

* Next step

* Fix build

* Changing inheritance + fix build

* Fix run

* Summary

* Fix comments

* Fix the run

* fix build

* #Extend report

* Fix build

* fix template

* api_report flag

* rebase to master branch

* fix

* fix build

* myriad

* fix problem with crash

* Fix some mistakes

* python merge

* fix tests

* tmp

* Update Merge_xml script

* Fix op

* fix build

* Fix bug with --report_unique_name

* build

* remove extra

* gg

* gpu build

* c

* Fix issue with win

* infer_req

* compiled + exec net

* ov_plugin

* ie_plugin

* Fix comments

* ff

* fix last comment

* fix build

* fix template func

* Apply commnets

* Apply commnets

* fix ci

* build

* build

* build

* inl

* Remove extra

* fix merge_xml

* fix build

* remarks

* skip one test

Co-authored-by: Alexander Zhogov <alexander.zhogov@intel.com>
This commit is contained in:
Irina Efode
2022-08-15 18:57:10 +04:00
committed by GitHub
parent dd55f434c3
commit d04521a7c3
132 changed files with 2561 additions and 2015 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
docs/template_plugin/tests/functional/shared_tests_instances/behavior/ov_infer_request/batched_tensors.cpp
View File

@@ -17,7 +17,7 @@ TEST_P(OVInferRequestBatchedTests, SetInputTensors_Batch_Non_0) {
auto batch_shape = Shape{batch, 3, 3, 3};
auto model = OVInferRequestBatchedTests::create_n_inputs(1, element::f32, batch_shape, "CNHW");
const std::string tensor_name = "tensor_input0";
auto execNet = ie->compile_model(model, targetDevice);
auto execNet = ie->compile_model(model, target_device);
ov::InferRequest req;
req = execNet.create_infer_request();
std::vector<ov::Tensor> tensors(batch, ov::Tensor(element::f32, one_shape));
@@ -31,7 +31,7 @@ TEST_P(OVInferRequestBatchedTests, SetInputTensors_remote_tensor_default) {
auto batch_shape = Shape{batch, 4, 4, 4};
auto model = OVInferRequestBatchedTests::create_n_inputs(1, element::f32, batch_shape, "NCHW");
const std::string tensor_name = "tensor_input0";
auto execNet = ie->compile_model(model, targetDevice);
auto execNet = ie->compile_model(model, target_device);
ov::InferRequest req;
req = execNet.create_infer_request();
std::vector<ov::Tensor> tensors(batch - 1, ov::Tensor(element::f32, one_shape));
@@ -49,7 +49,7 @@ TEST_P(OVInferRequestBatchedTests, SetInputTensors_Strides) {
auto model = OVInferRequestBatchedTests::create_n_inputs(2, element::f32, batch_shape, "NCHW");
std::vector<float> buffer1(one_shape_size_stride, 10);
std::vector<float> buffer2(one_shape_size_stride, 20);
auto execNet = ie->compile_model(model, targetDevice);
auto execNet = ie->compile_model(model, target_device);
// Create InferRequest
ov::InferRequest req;
req = execNet.create_infer_request();

16
docs/template_plugin/tests/functional/shared_tests_instances/behavior/plugin/core_integration.cpp
View File

@@ -69,7 +69,13 @@ INSTANTIATE_TEST_SUITE_P(
// IE Class SetConfig
//
using IEClassSetConfigTestHETERO = BehaviorTestsUtils::IEClassNetworkTest;
class IEClassSetConfigTestHETERO : public BehaviorTestsUtils::IEClassNetworkTest,
public BehaviorTestsUtils::IEPluginTestBase {
void SetUp() override {
IEClassNetworkTest::SetUp();
IEPluginTestBase::SetUp();
}
};
TEST_F(IEClassSetConfigTestHETERO, smoke_SetConfigNoThrow) {
{
@@ -115,7 +121,13 @@ INSTANTIATE_TEST_SUITE_P(
smoke_IEClassGetConfigTest, IEClassGetConfigTest,
::testing::Values(CommonTestUtils::DEVICE_TEMPLATE));
using IEClassGetConfigTestTEMPLATE = BehaviorTestsUtils::IEClassNetworkTest;
class IEClassGetConfigTestTEMPLATE : public BehaviorTestsUtils::IEClassNetworkTest,
public BehaviorTestsUtils::IEPluginTestBase {
void SetUp() override {
IEClassNetworkTest::SetUp();
IEPluginTestBase::SetUp();
}
};
TEST_F(IEClassGetConfigTestTEMPLATE, smoke_GetConfigNoThrow) {
InferenceEngine::Core ie = BehaviorTestsUtils::createIECoreWithTemplate();