Files
openvino/docs/template_plugin/tests/functional/op_reference/log_softmax.cpp
Wilson Seok a8f0109584 Migrate ngraph backend test/activations (#7973)
* Remove fp16 of Convert layer test from skip_tests.config.cpp as it works now

* update repo

* create new PR from PR7849

* remove backend tests of activation operations
2021-10-14 09:38:30 +03:00

248 lines
11 KiB
C++

// Copyright (C) 2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include <gtest/gtest.h>
#include "openvino/op/log_softmax.hpp"
#include "base_reference_test.hpp"
using namespace reference_tests;
using namespace ov;
using namespace InferenceEngine;
namespace {
struct LogSoftmaxParams {
template <class IT>
LogSoftmaxParams(const ov::PartialShape& shape, const ov::element::Type& iType, const std::vector<IT>& iValues, const std::vector<IT>& oValues,
const int64_t axis)
: axis(axis),
pshape(shape),
inType(iType),
outType(iType),
inputData(CreateTensor(iType, iValues)),
refData(CreateTensor(iType, oValues)) {}
int64_t axis = 0;
ov::PartialShape pshape;
ov::element::Type inType;
ov::element::Type outType;
ov::runtime::Tensor inputData;
ov::runtime::Tensor refData;
};
class ReferenceLogSoftmaxLayerTest : public testing::TestWithParam<LogSoftmaxParams>, public CommonReferenceTest {
public:
void SetUp() override {
auto params = GetParam();
function = CreateFunction(params.pshape, params.inType, params.outType, params.axis);
inputData = {params.inputData};
refOutData = {params.refData};
}
static std::string getTestCaseName(const testing::TestParamInfo<LogSoftmaxParams>& obj) {
auto param = obj.param;
std::ostringstream result;
result << "shape=" << param.pshape << "_";
result << "iType=" << param.inType << "_";
result << "oType=" << param.outType << "_";
result << "axis=" << param.axis;
return result.str();
}
private:
static std::shared_ptr<Function> CreateFunction(const PartialShape& input_shape, const element::Type& input_type,
const element::Type& expected_output_type, const int64_t axis) {
const auto in = std::make_shared<op::v0::Parameter>(input_type, input_shape);
const auto LogSoftmax = std::make_shared<op::v5::LogSoftmax>(in, axis);
return std::make_shared<ov::Function>(NodeVector {LogSoftmax}, ParameterVector {in});
}
};
TEST_P(ReferenceLogSoftmaxLayerTest, CompareWithRefs) {
Exec();
}
template <element::Type_t IN_ET>
std::vector<LogSoftmaxParams> generateLogSoftmaxFloatParams() {
using T = typename element_type_traits<IN_ET>::value_type;
std::vector<LogSoftmaxParams> logSoftmaxParams {
LogSoftmaxParams(ov::PartialShape {1},
IN_ET,
std::vector<T>{1},
std::vector<T>{0},
0),
LogSoftmaxParams(ov::PartialShape {2, 4},
IN_ET,
std::vector<T>{0, 1, 2, 3, 10000, 10001, 10002, 10003},
std::vector<T>{-10000., -10000., -10000., -10000., 0., 0., 0., 0.},
0),
LogSoftmaxParams(ov::PartialShape {2, 4},
IN_ET,
std::vector<T>{0, 1, 2, 3, 10000, 10001, 10002, 10003},
std::vector<T>{-3.4401896, -2.4401896, -1.4401897, -0.4401897, -3.4401896, -2.4401896, -1.4401897, -0.4401897},
1),
LogSoftmaxParams(ov::PartialShape {2, 4},
IN_ET,
std::vector<T>{0, 1, 2, 3, 10000, 10001, 10002, 10003},
std::vector<T>{-3.4401896, -2.4401896, -1.4401897, -0.4401897, -3.4401896, -2.4401896, -1.4401897, -0.4401897},
-1),
LogSoftmaxParams(ov::PartialShape {2, 4},
IN_ET,
std::vector<T>{0, 1, 2, 3, 10000, 10001, 10002, 10003},
std::vector<T>{-10000., -10000., -10000., -10000., 0., 0., 0., 0.},
-2),
LogSoftmaxParams(ov::PartialShape {3, 2, 3},
IN_ET,
std::vector<T>{-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8},
std::vector<T>{-12.0024818,
-12.0024818,
-12.0024818,
-12.0024818,
-12.0024818,
-12.0024818,
-6.00248181,
-6.00248181,
-6.00248181,
-6.00248181,
-6.00248181,
-6.00248181,
-2.48181414e-03,
-2.48181414e-03,
-2.48181414e-03,
-2.48181414e-03,
-2.48181414e-03,
-2.48181414e-03},
0),
LogSoftmaxParams(ov::PartialShape {3, 2, 3},
IN_ET,
std::vector<T>{-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8},
std::vector<T>{-3.04858735,
-3.04858735,
-3.04858735,
-0.04858735,
-0.04858735,
-0.04858735,
-3.04858735,
-3.04858735,
-3.04858735,
-0.04858735,
-0.04858735,
-0.04858735,
-3.04858735,
-3.04858735,
-3.04858735,
-0.04858735,
-0.04858735,
-0.04858735},
1),
LogSoftmaxParams(ov::PartialShape {3, 2, 3},
IN_ET,
std::vector<T>{-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8},
std::vector<T>{-2.40760596,
-1.40760596,
-0.40760596,
-2.40760596,
-1.40760596,
-0.40760596,
-2.40760596,
-1.40760596,
-0.40760596,
-2.40760596,
-1.40760596,
-0.40760596,
-2.40760596,
-1.40760596,
-0.40760596,
-2.40760596,
-1.40760596,
-0.40760596},
2),
LogSoftmaxParams(ov::PartialShape {3, 2, 3},
IN_ET,
std::vector<T>{-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8},
std::vector<T>{-2.40760596,
-1.40760596,
-0.40760596,
-2.40760596,
-1.40760596,
-0.40760596,
-2.40760596,
-1.40760596,
-0.40760596,
-2.40760596,
-1.40760596,
-0.40760596,
-2.40760596,
-1.40760596,
-0.40760596,
-2.40760596,
-1.40760596,
-0.40760596},
-1),
LogSoftmaxParams(ov::PartialShape {3, 2, 3},
IN_ET,
std::vector<T>{-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8},
std::vector<T>{-3.04858735,
-3.04858735,
-3.04858735,
-0.04858735,
-0.04858735,
-0.04858735,
-3.04858735,
-3.04858735,
-3.04858735,
-0.04858735,
-0.04858735,
-0.04858735,
-3.04858735,
-3.04858735,
-3.04858735,
-0.04858735,
-0.04858735,
-0.04858735},
-2),
LogSoftmaxParams(ov::PartialShape {3, 2, 3},
IN_ET,
std::vector<T>{-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8},
std::vector<T>{-12.0024818,
-12.0024818,
-12.0024818,
-12.0024818,
-12.0024818,
-12.0024818,
-6.00248181,
-6.00248181,
-6.00248181,
-6.00248181,
-6.00248181,
-6.00248181,
-2.48181414e-03,
-2.48181414e-03,
-2.48181414e-03,
-2.48181414e-03,
-2.48181414e-03,
-2.48181414e-03},
-3)
};
return logSoftmaxParams;
}
std::vector<LogSoftmaxParams> generateLogSoftmaxCombinedParams() {
const std::vector<std::vector<LogSoftmaxParams>> logSoftmaxTypeParams {
generateLogSoftmaxFloatParams<element::Type_t::f32>(),
generateLogSoftmaxFloatParams<element::Type_t::f16>()
};
std::vector<LogSoftmaxParams> combinedParams;
for (const auto& params : logSoftmaxTypeParams) {
combinedParams.insert(combinedParams.end(), params.begin(), params.end());
}
return combinedParams;
}
INSTANTIATE_TEST_SUITE_P(smoke_LogSoftmax_With_Hardcoded_Refs, ReferenceLogSoftmaxLayerTest,
testing::ValuesIn(generateLogSoftmaxCombinedParams()), ReferenceLogSoftmaxLayerTest::getTestCaseName);
} // namespace