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[LPT] GroupConvolution plugin tests: test class corrected to restore behavior in arm plugin instances (#16883)

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* [LPT] GroupConvolution plugin tests: restored test params default values

* return FQOnData shape automatic generation
This commit is contained in:
Vladislav Golubev authored and GitHub committed 2023-04-13 01:41:44 +01:00
1 parent 1ba87971d1
commit 9c6d287a58
3 files changed
+29 -16
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src/tests/functional/plugin/shared/include/low_precision_transformations/group_convolution_transformation.hpp
+16
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@@ -15,6 +15,22 @@ namespace LayerTestsDefinitions {
class GroupConvolutionTransformationParam {
public:
GroupConvolutionTransformationParam() = default;
GroupConvolutionTransformationParam(const size_t group,
const int groupCalculationDimention,
const ngraph::builder::subgraph::FakeQuantizeOnData& fakeQuantizeOnData,
const ngraph::builder::subgraph::FakeQuantizeOnWeights& fakeQuantizeOnWeights,
const bool addReshape = true,
const std::string& layerName = "",
const std::string& expectedKernelType = "")
: group(group),
groupCalculationDimention(groupCalculationDimention),
fakeQuantizeOnData(fakeQuantizeOnData),
fakeQuantizeOnWeights(fakeQuantizeOnWeights),
addReshape(addReshape),
layerName(layerName),
expectedKernelType(expectedKernelType) {}
size_t group;
int groupCalculationDimention;
ngraph::builder::subgraph::FakeQuantizeOnData fakeQuantizeOnData;
src/tests/functional/plugin/shared/src/low_precision_transformations/group_convolution_transformation.cpp
+1 -1
View File
@@ -60,7 +60,7 @@ std::string GroupConvolutionTransformation::getTestCaseName(const testing::TestP
param.group << "_" <<
param.groupCalculationDimention << "_" <<
param.fakeQuantizeOnData << "_" <<
(param.addReshape ? "reshape_on_weights_" : "") <<
(param.addReshape ? "reshape_on_weights_" : "wo_reshape_") <<
(addPrecisionPreserved ? "max_pool_" : "") <<
param.fakeQuantizeOnWeights;
return result.str();
src/tests/ngraph_helpers/lpt_ngraph_functions/src/group_convolution_function.cpp
+12 -15
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@@ -181,34 +181,31 @@ std::shared_ptr<ngraph::Function> GroupConvolutionFunction::getOriginal(
std::shared_ptr<ngraph::Node> parent = input;
if (!fakeQuantizeOnData.empty()) {
auto getConstShape = [&](const size_t elemsCount) {
Shape constantShape;
if (ov::shape_size(fakeQuantizeOnData.constantShape) != 1) {
constantShape = fakeQuantizeOnData.constantShape;
} else {
constantShape = Shape(rankLength, 1);
constantShape[1] = elemsCount;
}
return constantShape;
};
parent = std::make_shared<ngraph::opset1::FakeQuantize>(
input,
std::make_shared<ngraph::opset1::Constant>(
precision,
getConstShape(fakeQuantizeOnData.inputLowValues.size()),
rankLength == 3 ?
Shape{ 1, fakeQuantizeOnData.inputLowValues.size(), 1 } :
Shape{ 1, fakeQuantizeOnData.inputLowValues.size(), 1, 1 },
fakeQuantizeOnData.inputLowValues),
std::make_shared<ngraph::opset1::Constant>(
precision,
getConstShape(fakeQuantizeOnData.inputHighValues.size()),
rankLength == 3 ?
Shape{ 1, fakeQuantizeOnData.inputHighValues.size(), 1 } :
Shape{ 1, fakeQuantizeOnData.inputHighValues.size(), 1, 1 },
fakeQuantizeOnData.inputHighValues),
std::make_shared<ngraph::opset1::Constant>(
precision,
getConstShape(fakeQuantizeOnData.outputLowValues.size()),
rankLength == 3 ?
Shape{ 1, fakeQuantizeOnData.outputLowValues.size(), 1 } :
Shape{ 1, fakeQuantizeOnData.outputLowValues.size(), 1, 1 },
fakeQuantizeOnData.outputLowValues),
std::make_shared<ngraph::opset1::Constant>(
precision,
getConstShape(fakeQuantizeOnData.outputHighValues.size()),
rankLength == 3 ?
Shape{ 1, fakeQuantizeOnData.outputHighValues.size(), 1 } :
Shape{ 1, fakeQuantizeOnData.outputHighValues.size(), 1, 1 },
fakeQuantizeOnData.outputHighValues),
fakeQuantizeOnData.quantizationLevel);
}