Migrate ngraph backend test of arithmetic2 operations (#7500)

* Remove fp16 of Convert layer test from skip_tests.config.cpp as it works now

* update repo

* add sin asin template plugin reference test

* add cos template plugin reference test and remove asin/sin/cos ngraph backend test

* update CMakeList.txt

* add template plugin reference test for asinh, cosh, sinh, tanh

* remove ngraph backend test for asinh, cosh, sinh, tanh

* update CMakeList.txt

* add ngraph type prop test for tanh

* add ngraph visitor api test for asin, sin

* add atanh type in activation SLT

* remove boolean from sin/cos/tan/asin/sinh/cosh evaluate
This commit is contained in:
Wilson Seok
2021-09-26 19:23:52 -07:00
committed by GitHub
parent ef028a567e
commit 8262aed30c
31 changed files with 763 additions and 470 deletions

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// Copyright (C) 2018-2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include <gtest/gtest.h>
#include <ie_core.hpp>
#include <ie_ngraph_utils.hpp>
#include <ngraph/ngraph.hpp>
#include <shared_test_classes/base/layer_test_utils.hpp>
#include <vector>
#include "base_reference_test.hpp"
using namespace ngraph;
namespace reference_tests {
namespace {
struct AsinParams {
Tensor input;
Tensor expected;
};
struct Builder : ParamsBuilder<AsinParams> {
REFERENCE_TESTS_ADD_SET_PARAM(Builder, input);
REFERENCE_TESTS_ADD_SET_PARAM(Builder, expected);
};
class ReferenceAsinLayerTest : public testing::TestWithParam<AsinParams>, public CommonReferenceTest {
public:
void SetUp() override {
auto params = GetParam();
function = CreateFunction(params.input.shape, params.input.type);
inputData = {params.input.data};
refOutData = {params.expected.data};
}
static std::string getTestCaseName(const testing::TestParamInfo<AsinParams>& obj) {
auto param = obj.param;
std::ostringstream result;
result << "shape=" << param.input.shape << "_";
result << "type=" << param.input.type;
return result.str();
}
private:
static std::shared_ptr<Function> CreateFunction(const Shape& shape, const element::Type& type) {
const auto in = std::make_shared<op::Parameter>(type, shape);
const auto Asin = std::make_shared<op::Asin>(in);
return std::make_shared<Function>(NodeVector {Asin}, ParameterVector {in});
}
};
TEST_P(ReferenceAsinLayerTest, AsinWithHardcodedRefs) {
Exec();
}
} // namespace
INSTANTIATE_TEST_SUITE_P(
smoke_Asin_With_Hardcoded_Refs, ReferenceAsinLayerTest,
::testing::Values(
Builder {}
.input({{11}, element::f16, std::vector<ngraph::float16> {-1.f, -0.75f, -0.5f, -0.25f, -0.125f, 0.f, 0.125f, 0.25f, 0.5f, 0.75f, 1.f}})
.expected({{11}, element::f16, std::vector<ngraph::float16> {-1.57079633f,
-0.84806208f,
-0.52359878f,
-0.25268026f,
-0.12532783f,
0.00000000f,
0.12532783f,
0.25268026f,
0.52359878f,
0.84806208f,
1.57079633f}}),
Builder {}
.input({{11}, element::f32, std::vector<float> {-1.f, -0.75f, -0.5f, -0.25f, -0.125f, 0.f, 0.125f, 0.25f, 0.5f, 0.75f, 1.f}})
.expected({{11}, element::f32, std::vector<float> {-1.57079633f,
-0.84806208f,
-0.52359878f,
-0.25268026f,
-0.12532783f,
0.00000000f,
0.12532783f,
0.25268026f,
0.52359878f,
0.84806208f,
1.57079633f}}),
Builder {}
.input({{3}, element::i32, std::vector<int32_t> {-1, 0, 1}})
.expected({{3}, element::i32, std::vector<int32_t> {-1, 0, 1}}),
Builder {}
.input({{3}, element::i64, std::vector<int64_t> {-1, 0, 1}})
.expected({{3}, element::i64, std::vector<int64_t> {-1, 0, 1}}),
Builder {}
.input({{2}, element::u32, std::vector<uint32_t> {0, 1}})
.expected({{2}, element::u32, std::vector<uint32_t> {0, 1}}),
Builder {}
.input({{2}, element::u64, std::vector<uint64_t> {0, 1}})
.expected({{2}, element::u64, std::vector<uint64_t> {0, 1}})),
ReferenceAsinLayerTest::getTestCaseName);
} // namespace reference_tests

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// Copyright (C) 2018-2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include <gtest/gtest.h>
#include <ie_core.hpp>
#include <ie_ngraph_utils.hpp>
#include <ngraph/ngraph.hpp>
#include <shared_test_classes/base/layer_test_utils.hpp>
#include <vector>
#include "base_reference_test.hpp"
using namespace ngraph;
namespace reference_tests {
namespace {
struct AsinhParams {
Tensor input;
Tensor expected;
};
struct Builder : ParamsBuilder<AsinhParams> {
REFERENCE_TESTS_ADD_SET_PARAM(Builder, input);
REFERENCE_TESTS_ADD_SET_PARAM(Builder, expected);
};
class ReferenceAsinhLayerTest : public testing::TestWithParam<AsinhParams>, public CommonReferenceTest {
public:
void SetUp() override {
auto params = GetParam();
function = CreateFunction(params.input.shape, params.input.type);
inputData = {params.input.data};
refOutData = {params.expected.data};
}
static std::string getTestCaseName(const testing::TestParamInfo<AsinhParams>& obj) {
auto param = obj.param;
std::ostringstream result;
result << "shape=" << param.input.shape << "_";
result << "type=" << param.input.type;
return result.str();
}
private:
static std::shared_ptr<Function> CreateFunction(const Shape& shape, const element::Type& type) {
const auto in = std::make_shared<op::Parameter>(type, shape);
const auto Asinh = std::make_shared<op::Asinh>(in);
return std::make_shared<Function>(NodeVector {Asinh}, ParameterVector {in});
}
};
TEST_P(ReferenceAsinhLayerTest, AsinhWithHardcodedRefs) {
Exec();
}
} // namespace
INSTANTIATE_TEST_SUITE_P(
smoke_Asinh_With_Hardcoded_Refs, ReferenceAsinhLayerTest,
::testing::Values(
Builder {}
.input({{11}, element::f16, std::vector<ngraph::float16> {0.f, 1.f, -1.f, 2.f, -2.f, 3.f, -3.f, 4.f, 5.f, 10.f, 100.f}})
.expected({{11}, element::f16, std::vector<ngraph::float16> {0.00000000f,
0.88137359f,
-0.88137359f,
1.44363548f,
-1.44363548f,
1.81844646f,
-1.81844646f,
2.09471255f,
2.31243834f,
2.99822295f,
5.29834237f}}),
Builder {}
.input({{11}, element::f32, std::vector<float> {0.f, 1.f, -1.f, 2.f, -2.f, 3.f, -3.f, 4.f, 5.f, 10.f, 100.f}})
.expected({{11}, element::f32, std::vector<float> {0.00000000f,
0.88137359f,
-0.88137359f,
1.44363548f,
-1.44363548f,
1.81844646f,
-1.81844646f,
2.09471255f,
2.31243834f,
2.99822295f,
5.29834237f}}),
Builder {}
.input({{11}, element::i32, std::vector<int32_t> {-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5}})
.expected({{11}, element::i32, std::vector<int32_t> {-2, -2, -2, -1, -1, 0, 1, 1, 2, 2, 2}}),
Builder {}
.input({{11}, element::i64, std::vector<int64_t> {-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5}})
.expected({{11}, element::i64, std::vector<int64_t> {-2, -2, -2, -1, -1, 0, 1, 1, 2, 2, 2}}),
Builder {}
.input({{6}, element::u32, std::vector<uint32_t> {0, 1, 2, 3, 4, 5}})
.expected({{6}, element::u32, std::vector<uint32_t> {0, 1, 1, 2, 2, 2}}),
Builder {}
.input({{6}, element::u64, std::vector<uint64_t> {0, 1, 2, 3, 4, 5}})
.expected({{6}, element::u64, std::vector<uint64_t> {0, 1, 1, 2, 2, 2}})),
ReferenceAsinhLayerTest::getTestCaseName);
} // namespace reference_tests

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// Copyright (C) 2018-2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include <gtest/gtest.h>
#include <ie_core.hpp>
#include <ie_ngraph_utils.hpp>
#include <ngraph/ngraph.hpp>
#include <shared_test_classes/base/layer_test_utils.hpp>
#include <vector>
#include "base_reference_test.hpp"
using namespace ngraph;
namespace reference_tests {
namespace {
struct CosParams {
Tensor input;
Tensor expected;
};
struct Builder : ParamsBuilder<CosParams> {
REFERENCE_TESTS_ADD_SET_PARAM(Builder, input);
REFERENCE_TESTS_ADD_SET_PARAM(Builder, expected);
};
class ReferenceCosLayerTest : public testing::TestWithParam<CosParams>, public CommonReferenceTest {
public:
void SetUp() override {
auto params = GetParam();
function = CreateFunction(params.input.shape, params.input.type);
inputData = {params.input.data};
refOutData = {params.expected.data};
}
static std::string getTestCaseName(const testing::TestParamInfo<CosParams>& obj) {
auto param = obj.param;
std::ostringstream result;
result << "shape=" << param.input.shape << "_";
result << "type=" << param.input.type;
return result.str();
}
private:
static std::shared_ptr<Function> CreateFunction(const Shape& shape, const element::Type& type) {
const auto in = std::make_shared<op::Parameter>(type, shape);
const auto Cos = std::make_shared<op::Cos>(in);
return std::make_shared<Function>(NodeVector {Cos}, ParameterVector {in});
}
};
TEST_P(ReferenceCosLayerTest, CosWithHardcodedRefs) {
Exec();
}
} // namespace
INSTANTIATE_TEST_SUITE_P(
smoke_Cos_With_Hardcoded_Refs, ReferenceCosLayerTest,
::testing::Values(
Builder {}
.input({{11}, element::f16, std::vector<ngraph::float16> {0.f, 0.25f, -0.25f, 0.5f, -0.5f, 1.f, -1.f, 2.f, -2.f, 4.f, -4.f}})
.expected({{11}, element::f16, std::vector<ngraph::float16> {1.00000000f,
0.96891242f,
0.96891242f,
0.87758256f,
0.87758256f,
0.54030231f,
0.54030231f,
-0.41614684f,
-0.41614684f,
-0.65364362f,
-0.65364362f}}),
Builder {}
.input({{11}, element::f32, std::vector<float> {0.f, 0.25f, -0.25f, 0.5f, -0.5f, 1.f, -1.f, 2.f, -2.f, 4.f, -4.f}})
.expected({{11}, element::f32, std::vector<float> {1.00000000f,
0.96891242f,
0.96891242f,
0.87758256f,
0.87758256f,
0.54030231f,
0.54030231f,
-0.41614684f,
-0.41614684f,
-0.65364362f,
-0.65364362f}}),
Builder {}
.input({{5}, element::i32, std::vector<int32_t> {1, 2, 3, 4, 5}})
.expected({{5}, element::i32, std::vector<int32_t> {1, 0, -1, -1, 0}}),
Builder {}
.input({{5}, element::i64, std::vector<int64_t> {1, 2, 3, 4, 5}})
.expected({{5}, element::i64, std::vector<int64_t> {1, 0, -1, -1, 0}}),
Builder {}
.input({{3}, element::u32, std::vector<uint32_t> {1, 2, 5}})
.expected({{3}, element::u32, std::vector<uint32_t> {1, 0, 0}}),
Builder {}
.input({{3}, element::u64, std::vector<uint64_t> {1, 2, 5}})
.expected({{3}, element::u64, std::vector<uint64_t> {1, 0, 0}})),
ReferenceCosLayerTest::getTestCaseName);
} // namespace reference_tests

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// Copyright (C) 2018-2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include <gtest/gtest.h>
#include <ie_core.hpp>
#include <ie_ngraph_utils.hpp>
#include <ngraph/ngraph.hpp>
#include <shared_test_classes/base/layer_test_utils.hpp>
#include <vector>
#include "base_reference_test.hpp"
using namespace ngraph;
namespace reference_tests {
namespace {
struct CoshParams {
Tensor input;
Tensor expected;
};
struct Builder : ParamsBuilder<CoshParams> {
REFERENCE_TESTS_ADD_SET_PARAM(Builder, input);
REFERENCE_TESTS_ADD_SET_PARAM(Builder, expected);
};
class ReferenceCoshLayerTest : public testing::TestWithParam<CoshParams>, public CommonReferenceTest {
public:
void SetUp() override {
auto params = GetParam();
function = CreateFunction(params.input.shape, params.input.type);
inputData = {params.input.data};
refOutData = {params.expected.data};
}
static std::string getTestCaseName(const testing::TestParamInfo<CoshParams>& obj) {
auto param = obj.param;
std::ostringstream result;
result << "shape=" << param.input.shape << "_";
result << "type=" << param.input.type;
return result.str();
}
private:
static std::shared_ptr<Function> CreateFunction(const Shape& shape, const element::Type& type) {
const auto in = std::make_shared<op::Parameter>(type, shape);
const auto Cosh = std::make_shared<op::Cosh>(in);
return std::make_shared<Function>(NodeVector {Cosh}, ParameterVector {in});
}
};
TEST_P(ReferenceCoshLayerTest, CoshWithHardcodedRefs) {
Exec();
}
} // namespace
INSTANTIATE_TEST_SUITE_P(
smoke_Cosh_With_Hardcoded_Refs, ReferenceCoshLayerTest,
::testing::Values(
Builder {}
.input({{11}, element::f16, std::vector<ngraph::float16> {-4.f, -2.f, -1.f, -0.5f, -0.25f, 0.f, 0.25f, 0.5f, 1.f, 2.f, 4.f}})
.expected({{11}, element::f16, std::vector<ngraph::float16> {27.30823284f,
3.76219569f,
1.54308063f,
1.12762597f,
1.03141310f,
1.00000000f,
1.03141310f,
1.12762597f,
1.54308063f,
3.76219569f,
27.30823284f}}),
Builder {}
.input({{11}, element::f32, std::vector<float> {-4.f, -2.f, -1.f, -0.5f, -0.25f, 0.f, 0.25f, 0.5f, 1.f, 2.f, 4.f}})
.expected({{11}, element::f32, std::vector<float> {27.30823284f,
3.76219569f,
1.54308063f,
1.12762597f,
1.03141310f,
1.00000000f,
1.03141310f,
1.12762597f,
1.54308063f,
3.76219569f,
27.30823284f}}),
Builder {}
.input({{7}, element::i32, std::vector<int32_t> {-4, -2, -1, 0, 1, 2, 4}})
.expected({{7}, element::i32, std::vector<int32_t> {27, 4, 2, 1, 2, 4, 27}}),
Builder {}
.input({{7}, element::i64, std::vector<int64_t> {-4, -2, -1, 0, 1, 2, 4}})
.expected({{7}, element::i64, std::vector<int64_t> {27, 4, 2, 1, 2, 4, 27}}),
Builder {}
.input({{4}, element::u32, std::vector<uint32_t> {0, 1, 2, 4}})
.expected({{4}, element::u32, std::vector<uint32_t> {1, 2, 4, 27}}),
Builder {}
.input({{4}, element::u64, std::vector<uint64_t> {0, 1, 2, 4}})
.expected({{4}, element::u64, std::vector<uint64_t> {1, 2, 4, 27}})),
ReferenceCoshLayerTest::getTestCaseName);
} // namespace reference_tests

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// Copyright (C) 2018-2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include <gtest/gtest.h>
#include <ie_core.hpp>
#include <ie_ngraph_utils.hpp>
#include <ngraph/ngraph.hpp>
#include <shared_test_classes/base/layer_test_utils.hpp>
#include <vector>
#include "base_reference_test.hpp"
using namespace ngraph;
namespace reference_tests {
namespace {
struct SinParams {
Tensor input;
Tensor expected;
};
struct Builder : ParamsBuilder<SinParams> {
REFERENCE_TESTS_ADD_SET_PARAM(Builder, input);
REFERENCE_TESTS_ADD_SET_PARAM(Builder, expected);
};
class ReferenceSinLayerTest : public testing::TestWithParam<SinParams>, public CommonReferenceTest {
public:
void SetUp() override {
auto params = GetParam();
function = CreateFunction(params.input.shape, params.input.type);
inputData = {params.input.data};
refOutData = {params.expected.data};
}
static std::string getTestCaseName(const testing::TestParamInfo<SinParams>& obj) {
auto param = obj.param;
std::ostringstream result;
result << "shape=" << param.input.shape << "_";
result << "type=" << param.input.type;
return result.str();
}
private:
static std::shared_ptr<Function> CreateFunction(const Shape& shape, const element::Type& type) {
const auto in = std::make_shared<op::Parameter>(type, shape);
const auto Sin = std::make_shared<op::Sin>(in);
return std::make_shared<Function>(NodeVector {Sin}, ParameterVector {in});
}
};
TEST_P(ReferenceSinLayerTest, SinWithHardcodedRefs) {
Exec();
}
} // namespace
INSTANTIATE_TEST_SUITE_P(
smoke_Sin_With_Hardcoded_Refs, ReferenceSinLayerTest,
::testing::Values(
Builder {}
.input({{11}, element::f16, std::vector<ngraph::float16> {0.f, 0.25f, -0.25f, 0.5f, -0.5f, 1.f, -1.f, 2.f, -2.f, 4.f, -4.f}})
.expected({{11}, element::f16, std::vector<ngraph::float16> {0.00000000f,
0.24740396f,
-0.24740396f,
0.47942554f,
-0.47942554f,
0.84147098f,
-0.84147098f,
0.90929743f,
-0.90929743f,
-0.75680250f,
0.75680250f}}),
Builder {}
.input({{11}, element::f32, std::vector<float> {0.f, 0.25f, -0.25f, 0.5f, -0.5f, 1.f, -1.f, 2.f, -2.f, 4.f, -4.f}})
.expected({{11}, element::f32, std::vector<float> {0.00000000f,
0.24740396f,
-0.24740396f,
0.47942554f,
-0.47942554f,
0.84147098f,
-0.84147098f,
0.90929743f,
-0.90929743f,
-0.75680250f,
0.75680250f}}),
Builder {}
.input({{7}, element::i32, std::vector<int32_t> {0, 1, -1, 2, -2, 4, -4}})
.expected({{7}, element::i32, std::vector<int32_t> {0, 0, 0, 0, 0, 0, 0}}),
Builder {}
.input({{7}, element::i64, std::vector<int64_t> {0, 1, -1, 2, -2, 4, -4}})
.expected({{7}, element::i64, std::vector<int64_t> {0, 0, 0, 0, 0, 0, 0}}),
Builder {}
.input({{4}, element::u32, std::vector<uint32_t> {0, 1, 2, 4}})
.expected({{4}, element::u32, std::vector<uint32_t> {0, 0, 0, 0}}),
Builder {}
.input({{4}, element::u64, std::vector<uint64_t> {0, 1, 2, 4}})
.expected({{4}, element::u64, std::vector<uint64_t> {0, 0, 0, 0}})),
ReferenceSinLayerTest::getTestCaseName);
} // namespace reference_tests

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// Copyright (C) 2018-2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include <gtest/gtest.h>
#include <ie_core.hpp>
#include <ie_ngraph_utils.hpp>
#include <ngraph/ngraph.hpp>
#include <shared_test_classes/base/layer_test_utils.hpp>
#include <vector>
#include "base_reference_test.hpp"
using namespace ngraph;
namespace reference_tests {
namespace {
struct SinhParams {
Tensor input;
Tensor expected;
};
struct Builder : ParamsBuilder<SinhParams> {
REFERENCE_TESTS_ADD_SET_PARAM(Builder, input);
REFERENCE_TESTS_ADD_SET_PARAM(Builder, expected);
};
class ReferenceSinhLayerTest : public testing::TestWithParam<SinhParams>, public CommonReferenceTest {
public:
void SetUp() override {
auto params = GetParam();
function = CreateFunction(params.input.shape, params.input.type);
inputData = {params.input.data};
refOutData = {params.expected.data};
}
static std::string getTestCaseName(const testing::TestParamInfo<SinhParams>& obj) {
auto param = obj.param;
std::ostringstream result;
result << "shape=" << param.input.shape << "_";
result << "type=" << param.input.type;
return result.str();
}
private:
static std::shared_ptr<Function> CreateFunction(const Shape& shape, const element::Type& type) {
const auto in = std::make_shared<op::Parameter>(type, shape);
const auto Sinh = std::make_shared<op::Sinh>(in);
return std::make_shared<Function>(NodeVector {Sinh}, ParameterVector {in});
}
};
TEST_P(ReferenceSinhLayerTest, SinhWithHardcodedRefs) {
Exec();
}
} // namespace
INSTANTIATE_TEST_SUITE_P(
smoke_Sinh_With_Hardcoded_Refs, ReferenceSinhLayerTest,
::testing::Values(
Builder {}
.input({{11}, element::f16, std::vector<ngraph::float16> {-4.f, -2.f, -1.f, -0.5f, -0.25f, 0.f, 0.25f, 0.5f, 1.f, 2.f, 4.f}})
.expected({{11}, element::f16, std::vector<ngraph::float16> {-27.28991720f,
-3.62686041f,
-1.17520120f,
-0.52109531f,
-0.25261232f,
0.00000000f,
0.25261232f,
0.52109531f,
1.17520120f,
3.62686041f,
27.28991720f}}),
Builder {}
.input({{11}, element::f32, std::vector<float> {-4.f, -2.f, -1.f, -0.5f, -0.25f, 0.f, 0.25f, 0.5f, 1.f, 2.f, 4.f}})
.expected({{11}, element::f32, std::vector<float> {-27.28991720f,
-3.62686041f,
-1.17520120f,
-0.52109531f,
-0.25261232f,
0.00000000f,
0.25261232f,
0.52109531f,
1.17520120f,
3.62686041f,
27.28991720f}}),
Builder {}
.input({{7}, element::i32, std::vector<int32_t> {-4, -2, -1, 0, 1, 2, 4}})
.expected({{7}, element::i32, std::vector<int32_t> {-27, -4, -1, 0, 1, 4, 27}}),
Builder {}
.input({{7}, element::i64, std::vector<int64_t> {-4, -2, -1, 0, 1, 2, 4}})
.expected({{7}, element::i64, std::vector<int64_t> {-27, -4, -1, 0, 1, 4, 27}}),
Builder {}
.input({{4}, element::u32, std::vector<uint32_t> {0, 1, 2, 4}})
.expected({{4}, element::u32, std::vector<uint32_t> {0, 1, 4, 27}}),
Builder {}
.input({{4}, element::u64, std::vector<uint64_t> {0, 1, 2, 4}})
.expected({{4}, element::u64, std::vector<uint64_t> {0, 1, 4, 27}})),
ReferenceSinhLayerTest::getTestCaseName);
} // namespace reference_tests

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// Copyright (C) 2018-2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include <gtest/gtest.h>
#include <ie_core.hpp>
#include <ie_ngraph_utils.hpp>
#include <ngraph/ngraph.hpp>
#include <shared_test_classes/base/layer_test_utils.hpp>
#include <vector>
#include "base_reference_test.hpp"
using namespace ngraph;
namespace reference_tests {
namespace {
struct TanhParams {
Tensor input;
Tensor expected;
};
struct Builder : ParamsBuilder<TanhParams> {
REFERENCE_TESTS_ADD_SET_PARAM(Builder, input);
REFERENCE_TESTS_ADD_SET_PARAM(Builder, expected);
};
class ReferenceTanhLayerTest : public testing::TestWithParam<TanhParams>, public CommonReferenceTest {
public:
void SetUp() override {
auto params = GetParam();
function = CreateFunction(params.input.shape, params.input.type);
inputData = {params.input.data};
refOutData = {params.expected.data};
}
static std::string getTestCaseName(const testing::TestParamInfo<TanhParams>& obj) {
auto param = obj.param;
std::ostringstream result;
result << "shape=" << param.input.shape << "_";
result << "type=" << param.input.type;
return result.str();
}
private:
static std::shared_ptr<Function> CreateFunction(const Shape& shape, const element::Type& type) {
const auto in = std::make_shared<op::Parameter>(type, shape);
const auto Tanh = std::make_shared<op::Tanh>(in);
return std::make_shared<Function>(NodeVector {Tanh}, ParameterVector {in});
}
};
TEST_P(ReferenceTanhLayerTest, TanhWithHardcodedRefs) {
Exec();
}
} // namespace
INSTANTIATE_TEST_SUITE_P(
smoke_Tanh_With_Hardcoded_Refs, ReferenceTanhLayerTest,
::testing::Values(
Builder {}
.input({{11}, element::f16, std::vector<ngraph::float16> {-4.f, -2.f, -1.f, -0.5f, -0.25f, 0.f, 0.25f, 0.5f, 1.f, 2.f, 4.f}})
.expected({{11}, element::f16, std::vector<ngraph::float16> {-0.99932930f,
-0.96402758f,
-0.76159416f,
-0.46211716f,
-0.24491866f,
0.00000000f,
0.24491866f,
0.46211716f,
0.76159416f,
0.96402758f,
0.99932930f}}),
Builder {}
.input({{11}, element::f32, std::vector<float> {-4.f, -2.f, -1.f, -0.5f, -0.25f, 0.f, 0.25f, 0.5f, 1.f, 2.f, 4.f}})
.expected({{11}, element::f32, std::vector<float> {-0.99932930f,
-0.96402758f,
-0.76159416f,
-0.46211716f,
-0.24491866f,
0.00000000f,
0.24491866f,
0.46211716f,
0.76159416f,
0.96402758f,
0.99932930f}}),
Builder {}
.input({{7}, element::i32, std::vector<int32_t> {-4, -2, -1, 0, 1, 2, 4}})
.expected({{7}, element::i32, std::vector<int32_t> {-1, -1, -1, 0, 1, 1, 1}}),
Builder {}
.input({{7}, element::i64, std::vector<int64_t> {-4, -2, -1, 0, 1, 2, 4}})
.expected({{7}, element::i64, std::vector<int64_t> {-1, -1, -1, 0, 1, 1, 1}}),
Builder {}
.input({{4}, element::u32, std::vector<uint32_t> {0, 1, 2, 4}})
.expected({{4}, element::u32, std::vector<uint32_t> {0, 1, 1, 1}}),
Builder {}
.input({{4}, element::u64, std::vector<uint64_t> {0, 1, 2, 4}})
.expected({{4}, element::u64, std::vector<uint64_t> {0, 1, 1, 1}})),
ReferenceTanhLayerTest::getTestCaseName);
} // namespace reference_tests