11ddd731b7
* Remove fp16 of Convert layer test from skip_tests.config.cpp as it works now * update repo * add op reference test of group_convolution and group_convolution_backpropdata * update reference test of group_convolution/group_convolution_backpropdata and remove their ngraph backend test
252 lines
11 KiB
C++
252 lines
11 KiB
C++
// Copyright (C) 2021 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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//
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#include <gtest/gtest.h>
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#include "openvino/op/group_conv.hpp"
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#include "base_reference_test.hpp"
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using namespace reference_tests;
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using namespace ov;
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namespace {
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struct GroupConvolutionParams {
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template <class IT>
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GroupConvolutionParams(const PartialShape& inputShape, const PartialShape& filterShape, const PartialShape& outputShape,
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const element::Type& iType,
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const std::vector<IT>& iValues, const std::vector<IT>& filterValues, const std::vector<IT>& oValues,
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const Strides& strides, const CoordinateDiff& padBegin, const CoordinateDiff& padEnd, const Strides& dialations)
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: inputShape(inputShape),
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filterShape(filterShape),
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outputShape(outputShape),
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inType(iType),
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filterType(iType),
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outType(iType),
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inputData(CreateTensor(iType, iValues)),
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filterData(CreateTensor(iType, filterValues)),
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refData(CreateTensor(iType, oValues)),
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strides(strides),
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padBegin(padBegin),
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padEnd(padEnd),
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dialations(dialations) {}
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PartialShape inputShape;
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PartialShape filterShape;
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PartialShape outputShape;
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ov::element::Type inType;
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ov::element::Type filterType;
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ov::element::Type outType;
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ov::runtime::Tensor inputData;
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ov::runtime::Tensor filterData;
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ov::runtime::Tensor refData;
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ov::Strides strides;
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ov::CoordinateDiff padBegin;
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ov::CoordinateDiff padEnd;
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ov::Strides dialations;
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};
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class ReferenceGroupConvolutionLayerTest : public testing::TestWithParam<GroupConvolutionParams>, public CommonReferenceTest {
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public:
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void SetUp() override {
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auto params = GetParam();
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function = CreateFunction(params);
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inputData = {params.inputData, params.filterData};
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refOutData = {params.refData};
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}
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static std::string getTestCaseName(const testing::TestParamInfo<GroupConvolutionParams>& obj) {
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auto param = obj.param;
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std::ostringstream result;
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result << "inputShape=" << param.inputShape << "_";
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result << "filterShape=" << param.filterShape << "_";
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result << "outputShape=" << param.outputShape << "_";
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result << "iType=" << param.inType << "_";
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result << "oType=" << param.outType << "_";
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result << "strides=" << param.strides << "_";
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result << "padBegin=" << param.padBegin << "_";
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result << "padEnd=" << param.padEnd << "_";
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result << "dialations=" << param.dialations;
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return result.str();
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}
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private:
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static std::shared_ptr<Function> CreateFunction(const GroupConvolutionParams& params) {
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const op::PadType auto_pad{op::PadType::EXPLICIT};
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const auto in = std::make_shared<op::v0::Parameter>(params.inType, params.inputShape);
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const auto filter = std::make_shared<op::v0::Parameter>(params.inType, params.filterShape);
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const auto GroupConvolution = std::make_shared<op::v1::GroupConvolution>(in,
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filter,
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params.strides,
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params.padBegin,
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params.padEnd,
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params.dialations,
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auto_pad);
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return std::make_shared<ov::Function>(NodeVector {GroupConvolution}, ParameterVector {in, filter});
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}
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};
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TEST_P(ReferenceGroupConvolutionLayerTest, CompareWithRefs) {
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Exec();
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}
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template <element::Type_t IN_ET>
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std::vector<GroupConvolutionParams> generateGroupConvolutionParams() {
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using T = typename element_type_traits<IN_ET>::value_type;
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std::vector<GroupConvolutionParams> groupConvolutionParams {
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// --------------------- 1D GroupConvolution ------------------------------------------
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GroupConvolutionParams(PartialShape {1, 1, 6},
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PartialShape {1, 1, 1, 3},
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PartialShape {1, 1, 4},
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IN_ET,
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std::vector<T>{1, 3, 3, 0, 1, 2},
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std::vector<T>{2, 0, 1},
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std::vector<T>{5, 6, 7, 2},
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{1},
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{0},
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{0},
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{1}),
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GroupConvolutionParams(PartialShape {1, 2, 6},
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PartialShape {2, 1, 1, 3},
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PartialShape {1, 2, 4},
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IN_ET,
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std::vector<T>{1, 3, 3, 0, 1, 2,
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1, 3, 3, 0, 1, 2},
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std::vector<T>{1, 0, 3,
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3, 0, 1},
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std::vector<T>{10, 3, 6, 6,
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6, 9, 10, 2},
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{1},
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{0},
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{0},
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{1}),
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GroupConvolutionParams(PartialShape {1, 2, 6},
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PartialShape {2, 2, 1, 3},
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PartialShape {1, 4, 4},
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IN_ET,
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std::vector<T>{1, 3, 3, 0, 1, 2,
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-1, -3, -3, 0, 1, 2},
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std::vector<T>{1, 0, 3,
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3, 0, 1,
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-3, 0, 1,
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3, 2, -1},
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std::vector<T>{
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10, 3, 6, 6,
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6, 9, 10, 2,
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0, 9, 10, 2,
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-6, -15, -10, 0},
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{1},
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{0},
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{0},
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{1}),
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GroupConvolutionParams(PartialShape {2, 2, 6},
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PartialShape {2, 1, 1, 3},
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PartialShape {2, 2, 4},
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IN_ET,
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std::vector<T>{
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// -- batch 1 --
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1, 3, 3, 0, 1, 2,
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1, 3, 3, 0, 1, 2,
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// -- batch 2 --
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1, 3, 3, 0, 1, 2,
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1, 3, 3, 0, 1, 2},
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std::vector<T>{1, 0, 3,
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3, 0, 1},
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std::vector<T>{
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10, 3, 6, 6,
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6, 9, 10, 2,
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10, 3, 6, 6,
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6, 9, 10, 2},
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{1},
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{0},
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{0},
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{1}),
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};
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return groupConvolutionParams;
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}
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template <element::Type_t IN_ET>
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std::vector<GroupConvolutionParams> generateGroupConvolutionUintParams() {
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using T = typename element_type_traits<IN_ET>::value_type;
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std::vector<GroupConvolutionParams> groupConvolutionParams {
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// --------------------- 1D GroupConvolution ------------------------------------------
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GroupConvolutionParams(PartialShape {1, 1, 6},
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PartialShape {1, 1, 1, 3},
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PartialShape {1, 1, 4},
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IN_ET,
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std::vector<T>{1, 3, 3, 0, 1, 2},
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std::vector<T>{2, 0, 1},
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std::vector<T>{5, 6, 7, 2},
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{1},
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{0},
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{0},
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{1}),
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GroupConvolutionParams(PartialShape {1, 2, 6},
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PartialShape {2, 1, 1, 3},
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PartialShape {1, 2, 4},
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IN_ET,
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std::vector<T>{1, 3, 3, 0, 1, 2,
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1, 3, 3, 0, 1, 2},
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std::vector<T>{1, 0, 3,
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3, 0, 1},
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std::vector<T>{10, 3, 6, 6,
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6, 9, 10, 2},
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{1},
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{0},
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{0},
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{1}),
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GroupConvolutionParams(PartialShape {2, 2, 6},
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PartialShape {2, 1, 1, 3},
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PartialShape {2, 2, 4},
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IN_ET,
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std::vector<T>{
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// -- batch 1 --
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1, 3, 3, 0, 1, 2,
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1, 3, 3, 0, 1, 2,
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// -- batch 2 --
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1, 3, 3, 0, 1, 2,
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1, 3, 3, 0, 1, 2},
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std::vector<T>{1, 0, 3,
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3, 0, 1},
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std::vector<T>{
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10, 3, 6, 6,
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6, 9, 10, 2,
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10, 3, 6, 6,
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6, 9, 10, 2},
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{1},
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{0},
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{0},
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{1}),
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};
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return groupConvolutionParams;
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}
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std::vector<GroupConvolutionParams> generateGroupConvolutionCombinedParams() {
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const std::vector<std::vector<GroupConvolutionParams>> groupConvolutionTypeParams {
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generateGroupConvolutionParams<element::Type_t::f64>(),
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generateGroupConvolutionParams<element::Type_t::f32>(),
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generateGroupConvolutionParams<element::Type_t::f16>(),
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generateGroupConvolutionParams<element::Type_t::bf16>(),
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generateGroupConvolutionParams<element::Type_t::i64>(),
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generateGroupConvolutionParams<element::Type_t::i32>(),
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generateGroupConvolutionParams<element::Type_t::i16>(),
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generateGroupConvolutionParams<element::Type_t::i8>(),
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generateGroupConvolutionUintParams<element::Type_t::u64>(),
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generateGroupConvolutionUintParams<element::Type_t::u32>(),
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generateGroupConvolutionUintParams<element::Type_t::u16>(),
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generateGroupConvolutionUintParams<element::Type_t::u8>()
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};
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std::vector<GroupConvolutionParams> combinedParams;
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for (const auto& params : groupConvolutionTypeParams) {
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combinedParams.insert(combinedParams.end(), params.begin(), params.end());
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}
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return combinedParams;
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}
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INSTANTIATE_TEST_SUITE_P(smoke_GroupConvolution_With_Hardcoded_Refs, ReferenceGroupConvolutionLayerTest,
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testing::ValuesIn(generateGroupConvolutionCombinedParams()), ReferenceGroupConvolutionLayerTest::getTestCaseName);
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} // namespace
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