74 lines
2.8 KiB
C++
74 lines
2.8 KiB
C++
/*
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* Copyright (c) 2017 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 "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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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(UNIT)
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TEST_SUITE(TensorShapeValidation)
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// *INDENT-OFF*
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// clang-format off
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DATA_TEST_CASE(Construction, framework::DatasetMode::ALL, zip(zip(
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framework::dataset::make("TensorShape", {
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TensorShape{},
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TensorShape{ 1U },
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TensorShape{ 2U },
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TensorShape{ 2U, 3U },
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TensorShape{ 2U, 3U, 5U },
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TensorShape{ 2U, 3U, 5U, 7U },
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TensorShape{ 2U, 3U, 5U, 7U, 11U },
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TensorShape{ 2U, 3U, 5U, 7U, 11U, 13U }}),
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framework::dataset::make("NumDimensions", { 0U, 1U, 1U, 2U, 3U, 4U, 5U, 6U })),
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framework::dataset::make("TotalSize", { 0U, 1U, 2U, 6U, 30U, 210U, 2310U, 30030U })),
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shape, num_dimensions, total_size)
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{
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ARM_COMPUTE_EXPECT(shape.num_dimensions() == num_dimensions, framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(shape.total_size() == total_size, framework::LogLevel::ERRORS);
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}
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// clang-format on
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// *INDENT-ON*
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DATA_TEST_CASE(SetEmpty, framework::DatasetMode::ALL, framework::dataset::make("Dimension", { 0U, 1U, 2U, 3U, 4U, 5U }), dimension)
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{
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TensorShape shape;
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shape.set(dimension, 10);
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ARM_COMPUTE_EXPECT(shape.num_dimensions() == dimension + 1, framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(shape.total_size() == 10, framework::LogLevel::ERRORS);
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}
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TEST_SUITE_END() // TensorShapeValidation
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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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