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24ab751547
* Remove isIntel check from deep learning layers * Remove fp16->fp32 fallbacks where it's not necessary * Fix Kernel::run to prevent localsize > globalsize
104 lines
3.8 KiB
C++
104 lines
3.8 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// Copyright (C) 2017, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "../precomp.hpp"
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#include "layers_common.hpp"
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namespace cv
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{
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namespace dnn
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{
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class SplitLayerImpl CV_FINAL : public SplitLayer
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{
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public:
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SplitLayerImpl(const LayerParams ¶ms)
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{
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setParamsFrom(params);
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//TODO: maybe "top_count" param is useless because it can be determined by output connections number
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if (params.has("top_count"))
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{
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outputsCount = params.get<int>("top_count");
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CV_Assert(outputsCount >= 0);
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}
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else
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{
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outputsCount = -1;
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}
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}
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bool getMemoryShapes(const std::vector<MatShape> &inputs,
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const int requiredOutputs,
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std::vector<MatShape> &outputs,
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std::vector<MatShape> &internals) const CV_OVERRIDE
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{
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CV_Assert(inputs.size() == 1);
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Layer::getMemoryShapes(inputs, max(1, outputsCount >= 0 ? outputsCount : requiredOutputs),
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outputs, internals);
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return false;
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}
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void forward(InputArrayOfArrays inputs_arr, OutputArrayOfArrays outputs_arr, OutputArrayOfArrays internals_arr) CV_OVERRIDE
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{
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CV_TRACE_FUNCTION();
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CV_TRACE_ARG_VALUE(name, "name", name.c_str());
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std::vector<Mat> inputs, outputs;
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inputs_arr.getMatVector(inputs);
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outputs_arr.getMatVector(outputs);
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for (size_t i = 0; i < outputs.size(); i++)
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{
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CV_Assert(inputs[0].total() == outputs[i].total());
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inputs[0].copyTo(outputs[i]);
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}
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}
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};
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Ptr<SplitLayer> SplitLayer::create(const LayerParams& params)
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{
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return Ptr<SplitLayer>(new SplitLayerImpl(params));
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}
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}
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}
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