70 lines
3.4 KiB
C++
70 lines
3.4 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 "arm_compute/core/Types.h"
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#include "arm_compute/runtime/NEON/functions/NECol2Im.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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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(NEON)
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TEST_SUITE(Col2Im)
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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(zip(
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framework::dataset::make("InputInfo", { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), // Unsupported data type
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TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), // Mismatching data type
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TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), // Invalid output shape
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TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32),
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}),
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framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16),
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TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F16),
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TensorInfo(TensorShape(3U, 3U, 10U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::F32),
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})),
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framework::dataset::make("ConvolvedWidth", { 3, 3, 3, 3, 3 })),
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framework::dataset::make("ConvolvedHeight", { 4, 4, 4, 4, 4 })),
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framework::dataset::make("Expected", { false, false, false, true })),
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input_info, output_info, convolved_width, convolved_height, expected)
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{
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bool status = bool(NECol2Im::validate(&input_info, &output_info, Size2D(convolved_width, convolved_height)));
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ARM_COMPUTE_EXPECT(status == 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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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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