85 lines
3.9 KiB
C++
85 lines
3.9 KiB
C++
/*
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* Copyright (c) 2017-2018 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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#ifndef ARM_COMPUTE_TEST_SMALL_GEMMLOWP_DATASET
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#define ARM_COMPUTE_TEST_SMALL_GEMMLOWP_DATASET
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#include "tests/datasets/GEMMLowpDataset.h"
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#include "utils/TypePrinter.h"
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#include "arm_compute/core/TensorShape.h"
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#include "arm_compute/core/Types.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 datasets
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{
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class SmallGEMMLowpDataset final : public GEMMLowpDataset
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{
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public:
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SmallGEMMLowpDataset()
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{
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add_config(TensorShape(21U, 1U), TensorShape(43U, 21U), TensorShape(43U, 1U), 0, 0);
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add_config(TensorShape(21U, 13U), TensorShape(33U, 21U), TensorShape(33U, 13U), 0, 0);
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add_config(TensorShape(31U, 3U), TensorShape(72U, 31U), TensorShape(72U, 3U), -2, 13);
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add_config(TensorShape(52U, 13U), TensorShape(33U, 52U), TensorShape(33U, 13U), 0, 4);
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add_config(TensorShape(52U, 26U), TensorShape(33U, 52U), TensorShape(33U, 26U), -2, 0);
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add_config(TensorShape(31U, 27U), TensorShape(23U, 31U), TensorShape(23U, 27U), 5, 13);
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add_config(TensorShape(38U, 43U), TensorShape(21U, 38U), TensorShape(21U, 43U), -3, -2);
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add_config(TensorShape(32U, 72U), TensorShape(17U, 32U), TensorShape(17U, 72U), -9, 1);
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}
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};
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class SmallGEMMLowpOutput3DDataset final : public GEMMLowpDataset
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{
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public:
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SmallGEMMLowpOutput3DDataset()
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{
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add_config(TensorShape(21U, 14U), TensorShape(34U, 21U), TensorShape(34U, 7U, 2U), 0, 0);
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add_config(TensorShape(31U, 1U), TensorShape(23U, 31U), TensorShape(23U, 1U, 1U), -2, 13);
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add_config(TensorShape(38U, 12U), TensorShape(21U, 38U), TensorShape(21U, 4U, 3U), 0, 4);
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add_config(TensorShape(32U, 1U), TensorShape(17U, 32U), TensorShape(17U, 1U, 1U), -2, 1);
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add_config(TensorShape(16U, 16U), TensorShape(8U, 16U), TensorShape(8U, 8U, 2U), 5, 9);
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add_config(TensorShape(16U, 16U, 5U), TensorShape(8U, 16U, 5U), TensorShape(8U, 8U, 2U, 5U), -7, 2);
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}
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};
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class SmallGEMMLowpInputOutput3DDataset final : public GEMMLowpDataset
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{
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public:
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SmallGEMMLowpInputOutput3DDataset()
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{
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add_config(TensorShape(21U, 14U, 13U), TensorShape(34U, 21U), TensorShape(34U, 14U, 13U), 0, 0);
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add_config(TensorShape(31U, 1U, 3U), TensorShape(23U, 31U), TensorShape(23U, 1U, 3U), 0, 0);
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add_config(TensorShape(38U, 12U, 2U), TensorShape(21U, 38U), TensorShape(21U, 12U, 2U), -2, 13);
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add_config(TensorShape(32U, 1U, 4U, 3U), TensorShape(17U, 32U), TensorShape(17U, 1U, 4U, 3U), 0, 4);
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add_config(TensorShape(16U, 16U, 3U, 2U), TensorShape(8U, 16U), TensorShape(8U, 16U, 3U, 2U), -2, 0);
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add_config(TensorShape(16U, 16U, 5U, 3U), TensorShape(8U, 16U), TensorShape(8U, 16U, 5U, 3U), -9, 1);
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}
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};
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} // namespace datasets
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} // namespace test
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_TEST_SMALL_GEMMLOWP_DATASET */
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