Migrate Movement 1 Operations (Reverse-1, Split-1) (#8079)

* Migrate Reverse-1 and Split-1

* Separate classes for each exception test case
This commit is contained in:
Steve Yoo
2021-10-29 18:49:41 +09:00
committed by GitHub
parent c9e7e60a84
commit 5c2ef7268b
5 changed files with 490 additions and 607 deletions

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// Copyright (C) 2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include <gtest/gtest.h>
#include "openvino/op/reverse.hpp"
#include "openvino/op/constant.hpp"
#include "base_reference_test.hpp"
using namespace reference_tests;
using namespace ov;
namespace {
struct ReverseParams {
ReverseParams(const Tensor& constantTensor, const op::v1::Reverse::Mode reverseMode,
const Tensor& dataTensor, const Tensor& expectedTensor, const std::string& testcaseName = "") :
constantTensor(constantTensor), reverseMode(reverseMode),
dataTensor(dataTensor), expectedTensor(expectedTensor),
testcaseName(testcaseName) {}
Tensor constantTensor;
op::v1::Reverse::Mode reverseMode;
Tensor dataTensor;
Tensor expectedTensor;
std::string testcaseName;
};
class ReferenceReverseTest : public testing::TestWithParam<ReverseParams>, public CommonReferenceTest {
public:
void SetUp() override {
auto params = GetParam();
function = CreateFunction(params);
inputData = {params.dataTensor.data};
refOutData = {params.expectedTensor.data};
}
static std::string getTestCaseName(const testing::TestParamInfo<ReverseParams>& obj) {
auto param = obj.param;
std::ostringstream result;
result << "cType=" << param.constantTensor.type << "_";
result << "cShape=" << param.constantTensor.shape << "_";
result << "rMode=" << param.reverseMode << "_";
result << "dType=" << param.dataTensor.type << "_";
result << "dShape=" << param.dataTensor.shape << "_";
result << "eType=" << param.expectedTensor.type << "_";
if (param.testcaseName != "") {
result << "eShape=" << param.expectedTensor.shape << "_";
result << "eShape=" << param.testcaseName;
} else {
result << "eShape=" << param.expectedTensor.shape;
}
return result.str();
}
private:
static std::shared_ptr<Function> CreateFunction(const ReverseParams& params) {
const auto data = std::make_shared<op::v0::Parameter>(params.dataTensor.type, params.dataTensor.shape);
const auto constant = std::make_shared<op::v0::Constant>(params.constantTensor.type,
params.constantTensor.shape,
params.constantTensor.data.data());
const auto reverse = std::make_shared<op::v1::Reverse>(data, constant, params.reverseMode);
return std::make_shared<ov::Function>(NodeVector {reverse}, ParameterVector {data});
}
};
class ReferenceReverseTestAxesRankIndexMode : public ReferenceReverseTest {
};
class ReferenceReverseTestAxesElemsMaskMode : public ReferenceReverseTest {
};
class ReferenceReverseTestAxesOutOfBounds : public ReferenceReverseTest {
};
class ReferenceReverseTestAxesOutOfBounds4 : public ReferenceReverseTest {
};
TEST_P(ReferenceReverseTest, CompareWithRefs) {
Exec();
}
TEST_P(ReferenceReverseTestAxesRankIndexMode, CompareWithRefs) {
const auto Data = std::make_shared<op::v0::Parameter>(element::f32, Shape{2, 2, 2});
const auto Rev_Axes = std::make_shared<op::v0::Parameter>(element::i64, Shape{1, 1}); // correct: 1D
EXPECT_THROW(std::make_shared<ov::Function>(std::make_shared<op::v1::Reverse>(Data, Rev_Axes, op::v1::Reverse::Mode::INDEX),
ParameterVector{Data, Rev_Axes}),
ngraph::NodeValidationFailure);
}
TEST_P(ReferenceReverseTestAxesElemsMaskMode, CompareWithRefs) {
const auto Data = std::make_shared<op::v0::Parameter>(element::f32, Shape{2, 2, 2});
const auto Rev_Axes = std::make_shared<op::v0::Parameter>(element::boolean, Shape{2}); // correct: 3
EXPECT_THROW(std::make_shared<op::v1::Reverse>(Data, Rev_Axes, op::v1::Reverse::Mode::MASK),
ngraph::NodeValidationFailure);
}
TEST_P(ReferenceReverseTestAxesOutOfBounds, CompareWithRefs) {
const auto Data = std::make_shared<op::v0::Parameter>(element::f32, Shape{2, 2, 2});
const auto Rev_Axes = op::v0::Constant::create(element::i64, Shape{2}, {1, 10});
EXPECT_THROW(std::make_shared<op::v1::Reverse>(Data, Rev_Axes, op::v1::Reverse::Mode::INDEX),
ngraph::NodeValidationFailure);
}
TEST_P(ReferenceReverseTestAxesOutOfBounds4, CompareWithRefs) {
const auto Data = std::make_shared<op::v0::Parameter>(element::f32, Shape{2, 2, 2});
const auto Rev_Axes = op::v0::Constant::create(element::i64, Shape{4}, {0, 1, 2, 3});
EXPECT_THROW(std::make_shared<op::v1::Reverse>(Data, Rev_Axes, op::v1::Reverse::Mode::INDEX),
ngraph::NodeValidationFailure);
}
template <element::Type_t IN_ET>
std::vector<ReverseParams> generateParams() {
using T = typename element_type_traits<IN_ET>::value_type;
std::vector<ReverseParams> params {
// nothing_to_reverse
ReverseParams(Tensor({0}, element::i64, std::vector<int64_t>{}),
op::v1::Reverse::Mode::INDEX,
Tensor({8}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7}),
Tensor({8}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7}),
"nothing_to_reverse"),
// reverse_1d
ReverseParams(Tensor({1}, element::i64, std::vector<int64_t>{0}),
op::v1::Reverse::Mode::INDEX,
Tensor({8}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7}),
Tensor({8}, IN_ET, std::vector<T>{7, 6, 5, 4, 3, 2, 1, 0}),
"reverse_1d"),
// reverse_2d_0
ReverseParams(Tensor({1}, element::i64, std::vector<int64_t>{0}),
op::v1::Reverse::Mode::INDEX,
Tensor({4, 3}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}),
Tensor({4, 3}, IN_ET, std::vector<T>{9, 10, 11, 6, 7, 8, 3, 4, 5, 0, 1, 2}),
"reverse_2d_0"),
// reverse_2d_1
ReverseParams(Tensor({1}, element::i64, std::vector<int64_t>{1}),
op::v1::Reverse::Mode::INDEX,
Tensor({4, 3}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}),
Tensor({4, 3}, IN_ET, std::vector<T>{2, 1, 0, 5, 4, 3, 8, 7, 6, 11, 10, 9}),
"reverse_2d_1"),
// reverse_2d_1_mask
ReverseParams(Tensor({2}, element::boolean, std::vector<char>{false, true}),
op::v1::Reverse::Mode::MASK,
Tensor({4, 3}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}),
Tensor({4, 3}, IN_ET, std::vector<T>{2, 1, 0, 5, 4, 3, 8, 7, 6, 11, 10, 9}),
"reverse_2d_1_mask"),
// reverse_2d_01
ReverseParams(Tensor({2}, element::i64, std::vector<int64_t>{0, 1}),
op::v1::Reverse::Mode::INDEX,
Tensor({4, 3}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}),
Tensor({4, 3}, IN_ET, std::vector<T>{11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0}),
"reverse_2d_01"),
// reverse_2d_01_mask
ReverseParams(Tensor({2}, element::boolean, std::vector<char>{true, true}),
op::v1::Reverse::Mode::MASK,
Tensor({4, 3}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}),
Tensor({4, 3}, IN_ET, std::vector<T>{11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0}),
"reverse_2d_01_mask"),
// reverse_3d_0
ReverseParams(Tensor({1}, element::i64, std::vector<int64_t>{0}),
op::v1::Reverse::Mode::INDEX,
Tensor({2, 4, 3}, IN_ET, std::vector<T>{
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23}),
Tensor({2, 4, 3}, IN_ET, std::vector<T>{
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}),
"reverse_3d_0"),
// reverse_3d_1
ReverseParams(Tensor({1}, element::i64, std::vector<int64_t>{1}),
op::v1::Reverse::Mode::INDEX,
Tensor({2, 4, 3}, IN_ET, std::vector<T>{
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23}),
Tensor({2, 4, 3}, IN_ET, std::vector<T>{
9, 10, 11, 6, 7, 8, 3, 4, 5, 0, 1, 2, 21, 22, 23, 18, 19, 20, 15, 16, 17, 12, 13, 14}),
"reverse_3d_1"),
// reverse_3d_2
ReverseParams(Tensor({1}, element::i64, std::vector<int64_t>{2}),
op::v1::Reverse::Mode::INDEX,
Tensor({2, 4, 3}, IN_ET, std::vector<T>{
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23}),
Tensor({2, 4, 3}, IN_ET, std::vector<T>{
2, 1, 0, 5, 4, 3, 8, 7, 6, 11, 10, 9, 14, 13, 12, 17, 16, 15, 20, 19, 18, 23, 22, 21}),
"reverse_3d_2"),
// reverse_3d_01
ReverseParams(Tensor({2}, element::i64, std::vector<int64_t>{0, 1}),
op::v1::Reverse::Mode::INDEX,
Tensor({2, 4, 3}, IN_ET, std::vector<T>{
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23}),
Tensor({2, 4, 3}, IN_ET, std::vector<T>{
21, 22, 23, 18, 19, 20, 15, 16, 17, 12, 13, 14, 9, 10, 11, 6, 7, 8, 3, 4, 5, 0, 1, 2}),
"reverse_3d_01"),
// reverse_3d_02
ReverseParams(Tensor({2}, element::i64, std::vector<int64_t>{0, 2}),
op::v1::Reverse::Mode::INDEX,
Tensor({2, 4, 3}, IN_ET, std::vector<T>{
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23}),
Tensor({2, 4, 3}, IN_ET, std::vector<T>{
14, 13, 12, 17, 16, 15, 20, 19, 18, 23, 22, 21, 2, 1, 0, 5, 4, 3, 8, 7, 6, 11, 10, 9}),
"reverse_3d_02"),
// reverse_3d_12
ReverseParams(Tensor({2}, element::i64, std::vector<int64_t>{1, 2}),
op::v1::Reverse::Mode::INDEX,
Tensor({2, 4, 3}, IN_ET, std::vector<T>{
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23}),
Tensor({2, 4, 3}, IN_ET, std::vector<T>{
11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12}),
"reverse_3d_12"),
// reverse_3d_012
ReverseParams(Tensor({3}, element::i64, std::vector<int64_t>{0, 1, 2}),
op::v1::Reverse::Mode::INDEX,
Tensor({2, 4, 3}, IN_ET, std::vector<T>{
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23}),
Tensor({2, 4, 3}, IN_ET, std::vector<T>{
23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0}),
"reverse_3d_012"),
};
return params;
}
std::vector<ReverseParams> generateCombinedParams() {
const std::vector<std::vector<ReverseParams>> reverseTypeParams {
generateParams<element::Type_t::i8>(),
generateParams<element::Type_t::i16>(),
generateParams<element::Type_t::i32>(),
generateParams<element::Type_t::i64>(),
generateParams<element::Type_t::u8>(),
generateParams<element::Type_t::u16>(),
generateParams<element::Type_t::u32>(),
generateParams<element::Type_t::u64>(),
generateParams<element::Type_t::f16>(),
generateParams<element::Type_t::f32>(),
};
std::vector<ReverseParams> combinedParams;
for (const auto& params : reverseTypeParams) {
combinedParams.insert(combinedParams.end(), params.begin(), params.end());
}
return combinedParams;
}
std::vector<ReverseParams> generateParamsAxesRankIndexMode() {
std::vector<ReverseParams> params {
// reverse_v1_incorrect_rev_axes_rank_index_mode
ReverseParams(Tensor({1}, element::i64, std::vector<int64_t>{0}),
op::v1::Reverse::Mode::INDEX,
Tensor({1}, element::i64, std::vector<int64_t>{0}),
Tensor({1}, element::i64, std::vector<int64_t>{0}),
"reverse_v1_incorrect_rev_axes_rank_index_mode"),
};
return params;
}
std::vector<ReverseParams> generateParamsAxesElemsMaskMode() {
std::vector<ReverseParams> params {
// reverse_v1_incorrect_rev_axes_elems_mask_mode
ReverseParams(Tensor({1}, element::i64, std::vector<int64_t>{0}),
op::v1::Reverse::Mode::INDEX,
Tensor({1}, element::i64, std::vector<int64_t>{0}),
Tensor({1}, element::i64, std::vector<int64_t>{0}),
"reverse_v1_incorrect_rev_axes_elems_mask_mode"),
};
return params;
}
std::vector<ReverseParams> generateParamsAxesOutOfBounds() {
std::vector<ReverseParams> params {
// reverse_v1_axes_out_of_bounds
ReverseParams(Tensor({1}, element::i64, std::vector<int64_t>{0}),
op::v1::Reverse::Mode::INDEX,
Tensor({1}, element::i64, std::vector<int64_t>{0}),
Tensor({1}, element::i64, std::vector<int64_t>{0}),
"reverse_v1_axes_out_of_bounds"),
};
return params;
}
std::vector<ReverseParams> generateParamsAxesOutOfBounds4() {
std::vector<ReverseParams> params {
// reverse_v1_axes_out_of_bounds_4
ReverseParams(Tensor({1}, element::i64, std::vector<int64_t>{0}),
op::v1::Reverse::Mode::INDEX,
Tensor({1}, element::i64, std::vector<int64_t>{0}),
Tensor({1}, element::i64, std::vector<int64_t>{0}),
"reverse_v1_axes_out_of_bounds_4"),
};
return params;
}
INSTANTIATE_TEST_SUITE_P(smoke_Reverse_With_Hardcoded_Refs, ReferenceReverseTest,
testing::ValuesIn(generateCombinedParams()), ReferenceReverseTest::getTestCaseName);
INSTANTIATE_TEST_SUITE_P(smoke_Reverse_With_Hardcoded_Refs, ReferenceReverseTestAxesRankIndexMode,
testing::ValuesIn(generateParamsAxesRankIndexMode()), ReferenceReverseTest::getTestCaseName);
INSTANTIATE_TEST_SUITE_P(smoke_Reverse_With_Hardcoded_Refs, ReferenceReverseTestAxesElemsMaskMode,
testing::ValuesIn(generateParamsAxesElemsMaskMode()), ReferenceReverseTest::getTestCaseName);
INSTANTIATE_TEST_SUITE_P(smoke_Reverse_With_Hardcoded_Refs, ReferenceReverseTestAxesOutOfBounds,
testing::ValuesIn(generateParamsAxesOutOfBounds()), ReferenceReverseTest::getTestCaseName);
INSTANTIATE_TEST_SUITE_P(smoke_Reverse_With_Hardcoded_Refs, ReferenceReverseTestAxesOutOfBounds4,
testing::ValuesIn(generateParamsAxesOutOfBounds4()), ReferenceReverseTest::getTestCaseName);
} // namespace

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// Copyright (C) 2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include <gtest/gtest.h>
#include "openvino/op/split.hpp"
#include "openvino/op/constant.hpp"
#include "base_reference_test.hpp"
using namespace reference_tests;
using namespace ov;
namespace {
struct SplitParams {
SplitParams(const Tensor& dataTensor, const Tensor& axisTensor, const size_t numSplits,
const std::vector<Tensor>& expectedTensors, const std::string& testcaseName = "") :
dataTensor(dataTensor), axisTensor(axisTensor), numSplits(numSplits),
expectedTensors(expectedTensors), testcaseName(testcaseName) {}
Tensor dataTensor;
Tensor axisTensor;
size_t numSplits;
std::vector<Tensor> expectedTensors;
std::string testcaseName;
};
class ReferenceSplitTest : public testing::TestWithParam<SplitParams>, public CommonReferenceTest {
public:
void SetUp() override {
auto params = GetParam();
function = CreateFunction(params);
inputData = {params.dataTensor.data};
refOutData.reserve(params.expectedTensors.size());
for (const auto& expectedTensor : params.expectedTensors) {
refOutData.push_back(expectedTensor.data);
}
}
static std::string getTestCaseName(const testing::TestParamInfo<SplitParams>& obj) {
auto param = obj.param;
std::ostringstream result;
result << "dType=" << param.dataTensor.type << "_";
result << "dShape=" << param.dataTensor.shape << "_";
result << "aType=" << param.axisTensor.type << "_";
result << "aShape=" << param.axisTensor.shape << "_";
result << "nSplit=" << param.numSplits << "_";
result << "eType=" << param.expectedTensors[0].type << "_";
if (param.testcaseName != "") {
result << "eShape=" << param.expectedTensors[0].shape << "_";
result << "eShape=" << param.testcaseName;
} else {
result << "eShape=" << param.expectedTensors[0].shape;
}
return result.str();
}
private:
static std::shared_ptr<Function> CreateFunction(const SplitParams& params) {
const auto data = std::make_shared<op::v0::Parameter>(params.dataTensor.type, params.dataTensor.shape);
const auto axis = std::make_shared<op::v0::Constant>(params.axisTensor.type,
params.axisTensor.shape,
params.axisTensor.data.data());
const auto split = std::make_shared<op::v1::Split>(data, axis, params.numSplits);
return std::make_shared<ov::Function>(split->outputs(), ParameterVector {data});
}
};
TEST_P(ReferenceSplitTest, CompareWithRefs) {
Exec();
}
template <element::Type_t IN_ET>
std::vector<SplitParams> generateSplitParams() {
using T = typename element_type_traits<IN_ET>::value_type;
std::vector<SplitParams> splitParams {
// split_1d
SplitParams(Tensor({6}, IN_ET, std::vector<T>{1, 2, 3, 4, 5, 6}),
Tensor({}, element::i64, std::vector<int64_t>{0}),
3,
std::vector<Tensor>{Tensor({2}, IN_ET, std::vector<T>{1, 2}),
Tensor({2}, IN_ET, std::vector<T>{3, 4}),
Tensor({2}, IN_ET, std::vector<T>{5, 6})},
"split_1d"),
// split_2d_axis_0
SplitParams(Tensor({6, 2}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}),
Tensor({}, element::i64, std::vector<int64_t>{0}),
2,
std::vector<Tensor>{Tensor({3, 2}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5}),
Tensor({3, 2}, IN_ET, std::vector<T>{6, 7, 8, 9, 10, 11})},
"split_2d_axis_0"),
// split_2d_axis_1
SplitParams(Tensor({6, 2}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}),
Tensor({}, element::i64, std::vector<int64_t>{1}),
2,
std::vector<Tensor>{Tensor({6, 1}, IN_ET, std::vector<T>{0, 2, 4, 6, 8, 10}),
Tensor({6, 1}, IN_ET, std::vector<T>{1, 3, 5, 7, 9, 11})},
"split_2d_axis_1"),
// split_3d_axis_0
SplitParams(Tensor({2, 2, 3}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}),
Tensor({}, element::i64, std::vector<int64_t>{0}),
2,
std::vector<Tensor>{Tensor({1, 2, 3}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5}),
Tensor({1, 2, 3}, IN_ET, std::vector<T>{6, 7, 8, 9, 10, 11})},
"split_3d_axis_0"),
// split_3d_axis_1
SplitParams(Tensor({2, 8, 2}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31}),
Tensor({}, element::i64, std::vector<int64_t>{1}),
4,
std::vector<Tensor>{Tensor({2, 2, 2}, IN_ET, std::vector<T>{0, 1, 2, 3, 16, 17, 18, 19}),
Tensor({2, 2, 2}, IN_ET, std::vector<T>{4, 5, 6, 7, 20, 21, 22, 23}),
Tensor({2, 2, 2}, IN_ET, std::vector<T>{8, 9, 10, 11, 24, 25, 26, 27}),
Tensor({2, 2, 2}, IN_ET, std::vector<T>{12, 13, 14, 15, 28, 29, 30, 31})},
"split_3d_axis_1"),
// split_3d_axis_2
SplitParams(Tensor({2, 1, 6}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}),
Tensor({}, element::i64, std::vector<int64_t>{2}),
2,
std::vector<Tensor>{Tensor({2, 1, 3}, IN_ET, std::vector<T>{0, 1, 2, 6, 7, 8}),
Tensor({2, 1, 3}, IN_ET, std::vector<T>{3, 4, 5, 9, 10, 11})},
"split_3d_axis_2"),
// split_4d_axis_0
SplitParams(Tensor({3, 2, 3, 1}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17}),
Tensor({}, element::i64, std::vector<int64_t>{0}),
3,
std::vector<Tensor>{Tensor({1, 2, 3, 1}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5}),
Tensor({1, 2, 3, 1}, IN_ET, std::vector<T>{6, 7, 8, 9, 10, 11}),
Tensor({1, 2, 3, 1}, IN_ET, std::vector<T>{12, 13, 14, 15, 16, 17})},
"split_4d_axis_0"),
// split_4d_axis_1
SplitParams(Tensor({2, 8, 2, 2}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,
48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63}),
Tensor({}, element::i64, std::vector<int64_t>{1}),
4,
std::vector<Tensor>{
Tensor({2, 2, 2, 2}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7, 32, 33, 34, 35, 36, 37, 38, 39}),
Tensor({2, 2, 2, 2}, IN_ET, std::vector<T>{8, 9, 10, 11, 12, 13, 14, 15, 40, 41, 42, 43, 44, 45, 46, 47}),
Tensor({2, 2, 2, 2}, IN_ET, std::vector<T>{16, 17, 18, 19, 20, 21, 22, 23, 48, 49, 50, 51, 52, 53, 54, 55}),
Tensor({2, 2, 2, 2}, IN_ET, std::vector<T>{24, 25, 26, 27, 28, 29, 30, 31, 56, 57, 58, 59, 60, 61, 62, 63})},
"split_4d_axis_1"),
// split_4d_axis_2
SplitParams(Tensor({2, 1, 6, 2}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23}),
Tensor({}, element::i64, std::vector<int64_t>{2}),
3,
std::vector<Tensor>{Tensor({2, 1, 2, 2}, IN_ET, std::vector<T>{0, 1, 2, 3, 12, 13, 14, 15}),
Tensor({2, 1, 2, 2}, IN_ET, std::vector<T>{4, 5, 6, 7, 16, 17, 18, 19}),
Tensor({2, 1, 2, 2}, IN_ET, std::vector<T>{8, 9, 10, 11, 20, 21, 22, 23})},
"split_4d_axis_2"),
// split_4d_axis_3
SplitParams(Tensor({2, 1, 2, 6}, IN_ET, std::vector<T>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23}),
Tensor({}, element::i64, std::vector<int64_t>{3}),
3,
std::vector<Tensor>{Tensor({2, 1, 2, 2}, IN_ET, std::vector<T>{0, 1, 6, 7, 12, 13, 18, 19}),
Tensor({2, 1, 2, 2}, IN_ET, std::vector<T>{2, 3, 8, 9, 14, 15, 20, 21}),
Tensor({2, 1, 2, 2}, IN_ET, std::vector<T>{4, 5, 10, 11, 16, 17, 22, 23})},
"split_4d_axis_3"),
};
return splitParams;
}
std::vector<SplitParams> generateSplitCombinedParams() {
const std::vector<std::vector<SplitParams>> splitTypeParams {
generateSplitParams<element::Type_t::i8>(),
generateSplitParams<element::Type_t::i16>(),
generateSplitParams<element::Type_t::i32>(),
generateSplitParams<element::Type_t::i64>(),
generateSplitParams<element::Type_t::u8>(),
generateSplitParams<element::Type_t::u16>(),
generateSplitParams<element::Type_t::u32>(),
generateSplitParams<element::Type_t::u64>(),
generateSplitParams<element::Type_t::f16>(),
generateSplitParams<element::Type_t::f32>(),
};
std::vector<SplitParams> combinedParams;
for (const auto& params : splitTypeParams) {
combinedParams.insert(combinedParams.end(), params.begin(), params.end());
}
return combinedParams;
}
INSTANTIATE_TEST_SUITE_P(smoke_Split_With_Hardcoded_Refs, ReferenceSplitTest,
testing::ValuesIn(generateSplitCombinedParams()), ReferenceSplitTest::getTestCaseName);
} // namespace