98 lines
8.0 KiB
C++
98 lines
8.0 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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#ifndef ARM_COMPUTE_TEST_GOOGLENET_GEMM_DATASET
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#define ARM_COMPUTE_TEST_GOOGLENET_GEMM_DATASET
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#include "tests/datasets/GEMMDataset.h"
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#include "utils/TypePrinter.h"
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#include "arm_compute/core/TensorShape.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 GoogleNetGEMMDataset final : public GEMMDataset
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{
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public:
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GoogleNetGEMMDataset()
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{
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add_config(TensorShape{ 147U, 12544U }, TensorShape{ 64U, 147U }, TensorShape{ 64U, 12544U }, TensorShape{ 64U, 12544U }, 1.f, 0.f);
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add_config(TensorShape{ 192U, 784U }, TensorShape{ 96U, 192U }, TensorShape{ 96U, 784U }, TensorShape{ 96U, 784U }, 1.f, 0.f);
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add_config(TensorShape{ 192U, 784U }, TensorShape{ 32U, 192U }, TensorShape{ 32U, 784U }, TensorShape{ 32U, 784U }, 1.f, 0.f);
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add_config(TensorShape{ 256U, 784U }, TensorShape{ 32U, 256U }, TensorShape{ 32U, 784U }, TensorShape{ 32U, 784U }, 1.f, 0.f);
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add_config(TensorShape{ 480U, 196U }, TensorShape{ 96U, 480U }, TensorShape{ 96U, 196U }, TensorShape{ 96U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 480U, 196U }, TensorShape{ 64U, 480U }, TensorShape{ 64U, 196U }, TensorShape{ 64U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 508U, 196U }, TensorShape{ 24U, 508U }, TensorShape{ 24U, 196U }, TensorShape{ 24U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 512U, 196U }, TensorShape{ 128U, 512U }, TensorShape{ 128U, 196U }, TensorShape{ 128U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 512U, 196U }, TensorShape{ 64U, 512U }, TensorShape{ 64U, 196U }, TensorShape{ 64U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 512U, 196U }, TensorShape{ 32U, 512U }, TensorShape{ 32U, 196U }, TensorShape{ 32U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 528U, 196U }, TensorShape{ 160U, 528U }, TensorShape{ 160U, 196U }, TensorShape{ 160U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 528U, 196U }, TensorShape{ 128U, 528U }, TensorShape{ 128U, 196U }, TensorShape{ 128U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 832U, 49U }, TensorShape{ 48U, 832U }, TensorShape{ 48U, 49U }, TensorShape{ 48U, 49U }, 1.f, 0.f);
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add_config(TensorShape{ 832U, 49U }, TensorShape{ 192U, 832U }, TensorShape{ 192U, 49U }, TensorShape{ 192U, 49U }, 1.f, 0.f);
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add_config(TensorShape{ 832U, 49U }, TensorShape{ 128U, 832U }, TensorShape{ 128U, 49U }, TensorShape{ 128U, 49U }, 1.f, 0.f);
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add_config(TensorShape{ 528U, 16U }, TensorShape{ 128U, 528U }, TensorShape{ 128U, 16U }, TensorShape{ 128U, 16U }, 1.f, 0.f);
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add_config(TensorShape{ 64U, 3136U }, TensorShape{ 64U, 64U }, TensorShape{ 64U, 3136U }, TensorShape{ 64U, 3136U }, 1.f, 0.f);
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add_config(TensorShape{ 864U, 784U }, TensorShape{ 128U, 864U }, TensorShape{ 128U, 784U }, TensorShape{ 128U, 784U }, 1.f, 0.f);
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add_config(TensorShape{ 256U, 784U }, TensorShape{ 128U, 256U }, TensorShape{ 128U, 784U }, TensorShape{ 128U, 784U }, 1.f, 0.f);
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add_config(TensorShape{ 800U, 784U }, TensorShape{ 96U, 800U }, TensorShape{ 96U, 784U }, TensorShape{ 96U, 784U }, 1.f, 0.f);
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add_config(TensorShape{ 864U, 196U }, TensorShape{ 204U, 864U }, TensorShape{ 204U, 196U }, TensorShape{ 204U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 508U, 196U }, TensorShape{ 160U, 508U }, TensorShape{ 160U, 196U }, TensorShape{ 160U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 600U, 196U }, TensorShape{ 64U, 600U }, TensorShape{ 64U, 196U }, TensorShape{ 64U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 1152U, 196U }, TensorShape{ 256U, 1152U }, TensorShape{ 256U, 196U }, TensorShape{ 256U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 512U, 196U }, TensorShape{ 112U, 512U }, TensorShape{ 112U, 196U }, TensorShape{ 112U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 800U, 196U }, TensorShape{ 64U, 800U }, TensorShape{ 64U, 196U }, TensorShape{ 64U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 1440U, 196U }, TensorShape{ 320U, 1440U }, TensorShape{ 320U, 196U }, TensorShape{ 320U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 832U, 49U }, TensorShape{ 256U, 832U }, TensorShape{ 256U, 49U }, TensorShape{ 256U, 49U }, 1.f, 0.f);
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add_config(TensorShape{ 1200U, 49U }, TensorShape{ 128U, 1200U }, TensorShape{ 128U, 49U }, TensorShape{ 128U, 49U }, 1.f, 0.f);
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add_config(TensorShape{ 1728U, 49U }, TensorShape{ 384U, 1728U }, TensorShape{ 384U, 49U }, TensorShape{ 384U, 49U }, 1.f, 0.f);
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add_config(TensorShape{ 508U, 16U }, TensorShape{ 128U, 508U }, TensorShape{ 128U, 16U }, TensorShape{ 128U, 16U }, 1.f, 0.f);
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add_config(TensorShape{ 2048U, 1U }, TensorShape{ 1024U, 2048U }, TensorShape{ 1024U, 1U }, TensorShape{ 1024U, 1U }, 1.f, 0.f);
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add_config(TensorShape{ 576U, 3136U }, TensorShape{ 192U, 576U }, TensorShape{ 192U, 3136U }, TensorShape{ 192U, 3136U }, 1.f, 0.f);
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add_config(TensorShape{ 192U, 784U }, TensorShape{ 16U, 192U }, TensorShape{ 16U, 784U }, TensorShape{ 16U, 784U }, 1.f, 0.f);
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add_config(TensorShape{ 256U, 784U }, TensorShape{ 128U, 256U }, TensorShape{ 128U, 784U }, TensorShape{ 128U, 784U }, 1.f, 0.f);
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add_config(TensorShape{ 256U, 784U }, TensorShape{ 64U, 256U }, TensorShape{ 64U, 784U }, TensorShape{ 64U, 784U }, 1.f, 0.f);
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add_config(TensorShape{ 480U, 196U }, TensorShape{ 16U, 480U }, TensorShape{ 16U, 196U }, TensorShape{ 16U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 508U, 196U }, TensorShape{ 112U, 508U }, TensorShape{ 112U, 196U }, TensorShape{ 112U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 508U, 196U }, TensorShape{ 64U, 508U }, TensorShape{ 64U, 196U }, TensorShape{ 64U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 512U, 196U }, TensorShape{ 24U, 512U }, TensorShape{ 24U, 196U }, TensorShape{ 24U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 512U, 196U }, TensorShape{ 144U, 512U }, TensorShape{ 144U, 196U }, TensorShape{ 144U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 512U, 196U }, TensorShape{ 64U, 512U }, TensorShape{ 64U, 196U }, TensorShape{ 64U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 528U, 196U }, TensorShape{ 32U, 528U }, TensorShape{ 32U, 196U }, TensorShape{ 32U, 196U }, 1.f, 0.f);
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add_config(TensorShape{ 832U, 49U }, TensorShape{ 160U, 832U }, TensorShape{ 160U, 49U }, TensorShape{ 160U, 49U }, 1.f, 0.f);
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add_config(TensorShape{ 832U, 49U }, TensorShape{ 128U, 832U }, TensorShape{ 128U, 49U }, TensorShape{ 128U, 49U }, 1.f, 0.f);
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add_config(TensorShape{ 832U, 49U }, TensorShape{ 48U, 832U }, TensorShape{ 48U, 49U }, TensorShape{ 48U, 49U }, 1.f, 0.f);
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add_config(TensorShape{ 2048U, 1U }, TensorShape{ 1024U, 2048U }, TensorShape{ 1024U, 1U }, TensorShape{ 1024U, 1U }, 1.f, 0.f);
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add_config(TensorShape{ 1024U, 1U }, TensorShape{ 1008U, 1024U }, TensorShape{ 1008U, 1U }, TensorShape{ 1008U, 1U }, 1.f, 0.f);
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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_GOOGLENET_GEMM_DATASET */
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