157 lines
8.7 KiB
C++
157 lines
8.7 KiB
C++
/*
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* Copyright (c) 2018-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/CL/CLTensor.h"
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#include "arm_compute/runtime/CL/CLTensorAllocator.h"
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#include "arm_compute/runtime/CL/functions/CLConcatenateLayer.h"
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#include "tests/CL/CLAccessor.h"
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#include "tests/datasets/ShapeDatasets.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Macros.h"
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#include "tests/framework/datasets/Datasets.h"
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#include "tests/validation/Validation.h"
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#include "tests/validation/fixtures/ConcatenateLayerFixture.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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TEST_SUITE(CL)
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TEST_SUITE(WidthConcatenateLayer)
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// *INDENT-OFF*
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// clang-format off
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DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
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framework::dataset::make("InputInfo1", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/output
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TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching y dimension
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TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching total width
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TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32),
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TensorInfo(TensorShape(21U, 35U, 5U), 1, DataType::F32)
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}),
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framework::dataset::make("InputInfo2", { TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32),
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TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32),
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TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32),
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TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32),
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TensorInfo(TensorShape(10U, 35U, 5U), 1, DataType::F32)
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})),
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framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(47U, 27U, 5U), 1, DataType::F16),
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TensorInfo(TensorShape(75U, 12U, 5U), 1, DataType::F32),
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TensorInfo(TensorShape(11U, 27U, 5U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 27U, 5U), 1, DataType::F32),
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TensorInfo(TensorShape(31U, 35U, 5U), 1, DataType::F32)
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})),
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framework::dataset::make("Expected", { false, false, false, true, true })),
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input_info1, input_info2, output_info,expected)
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{
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std::vector<TensorInfo> inputs_vector_info;
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inputs_vector_info.emplace_back(std::move(input_info1));
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inputs_vector_info.emplace_back(std::move(input_info2));
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std::vector<const ITensorInfo *> inputs_vector_info_raw;
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inputs_vector_info_raw.reserve(inputs_vector_info.size());
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for(auto &input : inputs_vector_info)
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{
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inputs_vector_info_raw.emplace_back(&input);
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}
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bool is_valid = bool(CLConcatenateLayer::validate(inputs_vector_info_raw,&output_info.clone()->set_is_resizable(true), 0));
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ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
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}
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// clang-format on
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// *INDENT-ON*
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template <typename T>
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using CLWidthConcatenateLayerFixture = ConcatenateLayerValidationFixture<CLTensor, ICLTensor, CLAccessor, CLConcatenateLayer, T>;
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TEST_SUITE(Float)
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TEST_SUITE(FP16)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()),
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framework::dataset::make("DataType",
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DataType::F16)),
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framework::dataset::make("Axis", 0)))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::Large2DShapes(), datasets::Small4DShapes()),
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framework::dataset::make("DataType",
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DataType::F16)),
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framework::dataset::make("Axis", 0)))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END()
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TEST_SUITE(FP32)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()),
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framework::dataset::make("DataType",
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DataType::F32)),
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framework::dataset::make("Axis", 0)))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::ConcatenateLayerShapes(), framework::dataset::make("DataType",
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DataType::F32)),
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framework::dataset::make("Axis", 0)))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END()
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TEST_SUITE_END()
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TEST_SUITE(Quantized)
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TEST_SUITE(QASYMM8)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLWidthConcatenateLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()),
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framework::dataset::make("DataType",
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DataType::QASYMM8)),
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framework::dataset::make("Axis", 0)))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLWidthConcatenateLayerFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::ConcatenateLayerShapes(), framework::dataset::make("DataType",
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DataType::QASYMM8)),
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framework::dataset::make("Axis", 0)))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END()
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TEST_SUITE_END()
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TEST_SUITE_END()
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TEST_SUITE_END()
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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