110 lines
4.9 KiB
C++
110 lines
4.9 KiB
C++
/*
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* Copyright (c) 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 "MaxUnpoolingLayer.h"
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#include "arm_compute/core/Types.h"
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#include "arm_compute/core/utils/misc/ShapeCalculator.h"
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#include "tests/validation/Helpers.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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namespace reference
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{
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using namespace arm_compute::misc::shape_calculator;
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template <typename T>
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SimpleTensor<T> max_unpooling_layer_internal(const SimpleTensor<T> &src, const PoolingLayerInfo &info,
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const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices,
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TensorShape output_shape, DataLayout data_layout)
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{
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ARM_COMPUTE_UNUSED(info);
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ARM_COMPUTE_UNUSED(output_qinfo);
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ARM_COMPUTE_UNUSED(data_layout);
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// Create reference
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SimpleTensor<T> dst{ output_shape, src.data_type(), 1 };
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ARM_COMPUTE_ERROR_ON(indices.shape().total_size() == 0);
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std::fill_n(dst.data(), dst.num_elements(), 0);
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const auto w_indices = static_cast<int>(indices.shape()[0]);
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const auto h_indices = static_cast<int>(indices.shape()[1]);
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const auto z_indices = static_cast<int>(indices.shape()[2]);
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const auto b_indices = static_cast<int>(indices.shape()[3]);
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const auto w_dst = static_cast<int>(dst.shape()[0]);
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const auto h_dst = static_cast<int>(dst.shape()[1]);
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const auto z_dst = static_cast<int>(dst.shape()[2]);
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for(int b = 0; b < b_indices; ++b)
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{
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for(int r = 0; r < z_indices; ++r)
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{
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for(int h = 0; h < h_indices; ++h)
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{
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for(int w = 0; w < w_indices; ++w)
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{
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const uint32_t index_into_dst = indices[b * z_indices * h_indices * w_indices + r * h_indices * w_indices + h * w_indices + w];
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const auto input_val = src[b * z_indices * h_indices * w_indices + r * h_indices * w_indices + h * w_indices + w];
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auto *ptr = &dst[b * z_dst * h_dst * w_dst];
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ptr[index_into_dst] = input_val;
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}
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}
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}
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}
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return dst;
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}
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template <>
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SimpleTensor<uint8_t> max_unpooling_layer<uint8_t>(
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const SimpleTensor<uint8_t> &src, const PoolingLayerInfo &info,
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const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices,
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TensorShape output_shape, DataLayout data_layout)
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{
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SimpleTensor<float> src_tmp = convert_from_asymmetric(src);
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SimpleTensor<float> dst_tmp = max_unpooling_layer_internal<float>(src_tmp, info, output_qinfo, indices, output_shape, data_layout);
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SimpleTensor<uint8_t> dst = convert_to_asymmetric<uint8_t>(dst_tmp, output_qinfo);
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return dst;
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}
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template <typename T>
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SimpleTensor<T> max_unpooling_layer(const SimpleTensor<T> &src, const PoolingLayerInfo &info,
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const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices,
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TensorShape output_shape, DataLayout data_layout)
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{
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return max_unpooling_layer_internal<T>(src, info, output_qinfo, indices, output_shape, data_layout);
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}
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template SimpleTensor<float> max_unpooling_layer(const SimpleTensor<float> &src, const PoolingLayerInfo &info,
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const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices,
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TensorShape output_shape, DataLayout data_layout);
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template SimpleTensor<half> max_unpooling_layer(const SimpleTensor<half> &src, const PoolingLayerInfo &info,
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const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices,
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TensorShape output_shape, DataLayout data_layout);
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} // namespace reference
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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