34fce43ab0
* Remove fp16 of Convert layer test from skip_tests.config.cpp as it works now * update repo * add draft reference of binary convolution * build test * fix build error * add binary_convolution reference test and ngraph visitor api test * remove ngraph backend test of binary_convolution * add reference test and remove ngraph backend test of convolution_backprop * add f64 case for convolution_backprop
316 lines
15 KiB
C++
316 lines
15 KiB
C++
// Copyright (C) 2021 Intel Corporation
|
|
// SPDX-License-Identifier: Apache-2.0
|
|
//
|
|
|
|
#include <gtest/gtest.h>
|
|
|
|
#include <ngraph_functions/builders.hpp>
|
|
#include "openvino/op/binary_convolution.hpp"
|
|
#include "base_reference_test.hpp"
|
|
#include "openvino/opsets/opset8.hpp"
|
|
|
|
using namespace reference_tests;
|
|
using namespace ov;
|
|
|
|
namespace {
|
|
struct BinaryConvolutionParams {
|
|
template <class T>
|
|
BinaryConvolutionParams(const PartialShape& inputShape,
|
|
const Shape& filterShape,
|
|
const PartialShape& outputShape,
|
|
const element::Type& iType,
|
|
const std::vector<T>& iValues,
|
|
const std::vector<uint8_t>& filterValues,
|
|
const std::vector<T>& oValues,
|
|
const Strides& strides,
|
|
const CoordinateDiff& padBegin,
|
|
const CoordinateDiff& padEnd,
|
|
const Strides& dialations,
|
|
const float padValue = 0,
|
|
const std::string& test_name = "")
|
|
: inputShape(inputShape),
|
|
filterShape(filterShape),
|
|
outputShape(outputShape),
|
|
inType(iType),
|
|
outType(iType),
|
|
inputData(CreateTensor(iType, iValues)),
|
|
filterData(filterValues),
|
|
refData(CreateTensor(iType, oValues)),
|
|
strides(strides),
|
|
padBegin(padBegin),
|
|
padEnd(padEnd),
|
|
dialations(dialations),
|
|
padValue(padValue) {}
|
|
|
|
PartialShape inputShape;
|
|
Shape filterShape;
|
|
PartialShape outputShape;
|
|
ov::element::Type inType;
|
|
ov::element::Type outType;
|
|
ov::runtime::Tensor inputData;
|
|
std::vector<uint8_t> filterData;
|
|
ov::runtime::Tensor refData;
|
|
ov::Strides strides;
|
|
ov::CoordinateDiff padBegin;
|
|
ov::CoordinateDiff padEnd;
|
|
ov::Strides dialations;
|
|
ov::op::v1::BinaryConvolution::BinaryConvolutionMode mode = ov::op::v1::BinaryConvolution::BinaryConvolutionMode::XNOR_POPCOUNT;
|
|
float padValue;
|
|
std::string testcaseName;
|
|
};
|
|
|
|
class ReferenceBinaryConvolutionLayerTest : public testing::TestWithParam<BinaryConvolutionParams>, public CommonReferenceTest {
|
|
public:
|
|
void SetUp() override {
|
|
auto params = GetParam();
|
|
function = CreateFunction(params, params.filterData);
|
|
inputData = {params.inputData};
|
|
refOutData = {params.refData};
|
|
}
|
|
static std::string getTestCaseName(const testing::TestParamInfo<BinaryConvolutionParams>& obj) {
|
|
auto param = obj.param;
|
|
std::ostringstream result;
|
|
result << "inputShape=" << param.inputShape << "_";
|
|
result << "filterShape=" << param.filterShape << "_";
|
|
result << "outputShape=" << param.outputShape << "_";
|
|
result << "iType=" << param.inType << "_";
|
|
result << "oType=" << param.outType << "_";
|
|
result << "strides=" << param.strides << "_";
|
|
result << "padBegin=" << param.padBegin << "_";
|
|
result << "padEnd=" << param.padEnd << "_";
|
|
result << "dialations=" << param.dialations << "_";
|
|
if (param.testcaseName != "") {
|
|
result << "padValue=" << param.padValue << "_";
|
|
result << param.testcaseName;
|
|
} else {
|
|
result << "padValue=" << param.padValue;
|
|
}
|
|
return result.str();
|
|
}
|
|
|
|
private:
|
|
static std::shared_ptr<Function> CreateFunction(const BinaryConvolutionParams& params, const std::vector<uint8_t>& filterData) {
|
|
const op::PadType auto_pad{op::PadType::EXPLICIT};
|
|
const auto in = std::make_shared<op::v0::Parameter>(params.inType, params.inputShape);
|
|
auto filter = std::make_shared<opset8::Constant>(ov::element::u1, params.filterShape, &filterData[0]);
|
|
const auto BinaryConvolution = std::make_shared<op::v1::BinaryConvolution>(in,
|
|
filter,
|
|
params.strides,
|
|
params.padBegin,
|
|
params.padEnd,
|
|
params.dialations,
|
|
params.mode,
|
|
params.padValue,
|
|
auto_pad);
|
|
return std::make_shared<ov::Function>(NodeVector {BinaryConvolution}, ParameterVector {in});
|
|
}
|
|
};
|
|
|
|
TEST_P(ReferenceBinaryConvolutionLayerTest, CompareWithRefs) {
|
|
Exec();
|
|
}
|
|
|
|
template <element::Type_t IN_ET>
|
|
std::vector<BinaryConvolutionParams> generateBinaryConvolutionParams() {
|
|
using T = typename element_type_traits<IN_ET>::value_type;
|
|
|
|
std::vector<BinaryConvolutionParams> binaryConvolutionParams {
|
|
// --------------------- 2D BinaryConvolution ------------------------------------------
|
|
BinaryConvolutionParams(PartialShape {1, 1, 4, 4},
|
|
Shape {1, 1, 3, 3},
|
|
PartialShape {1, 1, 2, 2},
|
|
IN_ET,
|
|
std::vector<T>{1, 0, 0, 1,
|
|
1, 1, 0, 0,
|
|
0, 0, 0, 1,
|
|
1, 0, 1, 1},
|
|
std::vector<uint8_t>{0xAA, 0x80}, // 10101010 10000000
|
|
std::vector<T>{1, 1,
|
|
3, -1},
|
|
{1, 1},
|
|
{0, 0},
|
|
{0, 0},
|
|
{1, 1}),
|
|
BinaryConvolutionParams(PartialShape {1, 1, 4, 4},
|
|
Shape {1, 1, 3, 3},
|
|
PartialShape {1, 1, 4, 4},
|
|
IN_ET,
|
|
std::vector<T>{1, 0, 0, 1,
|
|
1, 1, 0, 0,
|
|
0, 0, 0, 1,
|
|
1, 0, 1, 1},
|
|
std::vector<uint8_t>{0xAA, 0x80}, // 10101010 10000000
|
|
std::vector<T>{1, -3, -1, 1,
|
|
-3, 1, 1, -5,
|
|
-3, 3, -1, 1,
|
|
1, -5, 1, -3},
|
|
{1, 1},
|
|
{1, 1},
|
|
{1, 1},
|
|
{1, 1}),
|
|
BinaryConvolutionParams(PartialShape {1, 1, 4, 4},
|
|
Shape {1, 1, 3, 3},
|
|
PartialShape {1, 1, 4, 4},
|
|
IN_ET,
|
|
std::vector<T>{1, 0, 0, 1,
|
|
1, 1, 0, 0,
|
|
0, 0, 0, 1,
|
|
1, 0, 1, 1},
|
|
std::vector<uint8_t>{0xAA, 0x80}, // 10101010 10000000
|
|
std::vector<T>{3, -1, 1, 3,
|
|
-1, 1, 1, -3,
|
|
-1, 3, -1, 3,
|
|
3, -3, 3, -1},
|
|
{1, 1},
|
|
{1, 1},
|
|
{1, 1},
|
|
{1, 1},
|
|
1.0f),
|
|
BinaryConvolutionParams(PartialShape {1, 1, 5, 5},
|
|
Shape {1, 1, 3, 3},
|
|
PartialShape {1, 1, 2, 2},
|
|
IN_ET,
|
|
std::vector<T>{0, 1, 1, 0, 1,
|
|
1, 1, 0, 1, 0,
|
|
0, 0, 1, 0, 1,
|
|
1, 1, 0, 1, 0,
|
|
0, 0, 1, 1, 1},
|
|
std::vector<uint8_t>{0x2E, 0x00}, // 10101010 10000000
|
|
std::vector<T>{-1, 3,
|
|
1, 1},
|
|
{2, 2},
|
|
{0, 0},
|
|
{0, 0},
|
|
{1, 1}),
|
|
BinaryConvolutionParams(PartialShape {1, 1, 7, 7},
|
|
Shape {1, 1, 3, 3},
|
|
PartialShape {1, 1, 3, 3},
|
|
IN_ET,
|
|
std::vector<T>{1, 1, 0, 0, 0, 1, 0,
|
|
0, 0, 1, 0, 1, 0, 0,
|
|
1, 1, 1, 1, 0, 1, 1,
|
|
0, 0, 0, 1, 1, 1, 0,
|
|
0, 1, 0, 0, 1, 1, 1,
|
|
1, 0, 1, 1, 0, 0, 0,
|
|
1, 1, 1, 0, 1, 0, 0},
|
|
std::vector<uint8_t>{0x6B, 0x00}, // 10101010 10000000
|
|
std::vector<T>{-5, -3, -5,
|
|
5, 1, 3,
|
|
-1, -1, 3},
|
|
{1, 1},
|
|
{0, 0},
|
|
{0, 0},
|
|
{2, 2}),
|
|
BinaryConvolutionParams(PartialShape {1, 1, 7, 7},
|
|
Shape {1, 1, 3, 3},
|
|
PartialShape {1, 1, 4, 4},
|
|
IN_ET,
|
|
std::vector<T>{1, 1, 0, 0, 0, 1, 0,
|
|
0, 0, 1, 0, 1, 0, 0,
|
|
1, 1, 1, 1, 0, 1, 1,
|
|
0, 0, 0, 1, 1, 1, 0,
|
|
0, 1, 0, 0, 1, 1, 1,
|
|
1, 0, 1, 1, 0, 0, 0,
|
|
1, 1, 1, 0, 1, 0, 0},
|
|
std::vector<uint8_t>{0x6B, 0x00}, // 10101010 10000000
|
|
std::vector<T>{1, 1, -1, 1,
|
|
1, -5, -5, 5,
|
|
3, -1, 3, 3,
|
|
-1, -1, 3, -3},
|
|
{2, 2},
|
|
{2, 2},
|
|
{2, 2},
|
|
{2, 2}),
|
|
BinaryConvolutionParams(PartialShape {1, 1, 7, 7},
|
|
Shape {1, 1, 3, 3},
|
|
PartialShape {1, 1, 4, 4},
|
|
IN_ET,
|
|
std::vector<T>{1, 1, 0, 0, 0, 1, 0,
|
|
0, 0, 1, 0, 1, 0, 0,
|
|
1, 1, 1, 1, 0, 1, 1,
|
|
0, 0, 0, 1, 1, 1, 0,
|
|
0, 1, 0, 0, 1, 1, 1,
|
|
1, 0, 1, 1, 0, 0, 0,
|
|
1, 1, 1, 0, 1, 0, 0},
|
|
std::vector<uint8_t>{0x6B, 0x00}, // 10101010 10000000
|
|
std::vector<T>{3, 3, 1, -1,
|
|
-1, -5, -5, 3,
|
|
1, -1, 3, 1,
|
|
-3, 1, 5, -1},
|
|
{2, 2},
|
|
{2, 2},
|
|
{2, 2},
|
|
{2, 2},
|
|
1.0f),
|
|
BinaryConvolutionParams(PartialShape {1, 2, 4, 4},
|
|
Shape {1, 2, 3, 3},
|
|
PartialShape {1, 1, 2, 2},
|
|
IN_ET,
|
|
std::vector<T>{
|
|
// channel 1
|
|
1, 0, 0, 1,
|
|
1, 1, 0, 0,
|
|
0, 0, 0, 1,
|
|
1, 0, 1, 1,
|
|
// channel 2
|
|
0, 1, 1, 0,
|
|
0, 0, 1, 1,
|
|
1, 1, 1, 0,
|
|
0, 1, 0, 0},
|
|
std::vector<uint8_t>{0xAA, 0xAA, 0x80}, // 10101010 10000000
|
|
std::vector<T>{2, 2,
|
|
6, -2},
|
|
{1, 1},
|
|
{0, 0},
|
|
{0, 0},
|
|
{1, 1}),
|
|
BinaryConvolutionParams(PartialShape {2, 1, 4, 4},
|
|
Shape {1, 1, 3, 3},
|
|
PartialShape {2, 1, 2, 2},
|
|
IN_ET,
|
|
std::vector<T>{
|
|
// batch 1
|
|
1, 0, 0, 1,
|
|
1, 1, 0, 0,
|
|
0, 0, 0, 1,
|
|
1, 0, 1, 1,
|
|
// batch 2
|
|
0, 0, 0, 0,
|
|
1, 1, 1, 0,
|
|
1, 1, 0, 1,
|
|
1, 0, 1, 0},
|
|
std::vector<uint8_t>{0xAA, 0x80}, // 10101010 10000000
|
|
std::vector<T>{
|
|
// batch 1
|
|
1, 1,
|
|
3, -1,
|
|
// batch 2
|
|
-3, 3,
|
|
5, -7},
|
|
{1, 1},
|
|
{0, 0},
|
|
{0, 0},
|
|
{1, 1})
|
|
};
|
|
return binaryConvolutionParams;
|
|
}
|
|
|
|
std::vector<BinaryConvolutionParams> generateBinaryConvolutionCombinedParams() {
|
|
const std::vector<std::vector<BinaryConvolutionParams>> binaryConvolutionTypeParams {
|
|
generateBinaryConvolutionParams<element::Type_t::f32>(),
|
|
generateBinaryConvolutionParams<element::Type_t::f16>(),
|
|
generateBinaryConvolutionParams<element::Type_t::i64>(),
|
|
generateBinaryConvolutionParams<element::Type_t::i32>()
|
|
};
|
|
std::vector<BinaryConvolutionParams> combinedParams;
|
|
|
|
for (const auto& params : binaryConvolutionTypeParams) {
|
|
combinedParams.insert(combinedParams.end(), params.begin(), params.end());
|
|
}
|
|
return combinedParams;
|
|
}
|
|
|
|
INSTANTIATE_TEST_SUITE_P(smoke_BinaryConvolution_With_Hardcoded_Refs, ReferenceBinaryConvolutionLayerTest,
|
|
testing::ValuesIn(generateBinaryConvolutionCombinedParams()), ReferenceBinaryConvolutionLayerTest::getTestCaseName);
|
|
|
|
} // namespace
|