// This file is part of OpenCV project. // It is subject to the license terms in the LICENSE file found in the top-level directory // of this distribution and at http://opencv.org/license.html. // Copyright (C) 2016, Intel Corporation, all rights reserved. // Third party copyrights are property of their respective owners. /* Implementation of padding layer, which adds paddings to input blob. */ #include "../precomp.hpp" #include "op_halide.hpp" #include <vector> namespace cv { namespace dnn { class PaddingLayerImpl : public PaddingLayer { public: PaddingLayerImpl(const LayerParams ¶ms) { setParamsFrom(params); paddingDim = params.get<int>("padding_dim"); padding = params.get<int>("padding"); inputDims = params.get<int>("input_dims", 0); index = params.get<int>("index", 0); paddingValue = params.get<double>("value", 0); if(paddingDim < 0 || padding < 0) CV_Error(cv::Error::StsNotImplemented, "Negative padding and dim aren't supported"); } bool getMemoryShapes(const std::vector<MatShape> &inputs, const int requiredOutputs, std::vector<MatShape> &outputs, std::vector<MatShape> &internals) const { outputs.clear(); for(int i = 0; i < inputs.size(); i++) { MatShape shape = inputs[i]; int dim = getPadDim(shape); CV_Assert(dim < shape.size()); shape[dim] += padding; outputs.push_back(shape); } return false; } virtual bool supportBackend(int backendId) { return backendId == DNN_BACKEND_DEFAULT || backendId == DNN_BACKEND_HALIDE && haveHalide(); } void forward(std::vector<Mat*> &inputs, std::vector<Mat> &outputs, std::vector<Mat> &internals) { CV_TRACE_FUNCTION(); CV_TRACE_ARG_VALUE(name, "name", name.c_str()); for(int i = 0; i < inputs.size(); i++) { outputs[i] = paddingValue; const Mat& inp = *inputs[i]; Mat& out = outputs[i]; int dims = inp.dims; MatShape inShape(inp.size.p, inp.size.p + dims); MatShape outShape(out.size.p, out.size.p + dims); int dim = getPadDim(inShape); int actualIndex = index; if(index == 0) actualIndex = inShape[dim]; std::vector<std::pair<Range, Range> > srcDstRanges; srcDstRanges.push_back(std::make_pair(Range(0, actualIndex), Range(0, actualIndex))); srcDstRanges.push_back(std::make_pair(Range(actualIndex, inShape[dim]), Range(actualIndex + padding, outShape[dim]))); std::vector<Range> srcRanges(dims, Range::all()), dstRanges = srcRanges; for(int j = 0; j < srcDstRanges.size(); j++) { if(!srcDstRanges[j].first.empty()) { srcRanges[dim] = srcDstRanges[j].first; dstRanges[dim] = srcDstRanges[j].second; Mat dst = out(&dstRanges[0]); Mat src = inp(&srcRanges[0]).clone(); src.copyTo(dst); } } } } int getPadDim(const MatShape& shape) const { return inputDims > 0 && (int)shape.size() > inputDims ? paddingDim + 1 : paddingDim; } virtual Ptr<BackendNode> initHalide(const std::vector<Ptr<BackendWrapper> > &inputs) { #ifdef HAVE_HALIDE int inW, inH, inC, inN; Halide::Buffer<float> inputBuffer = halideBuffer(inputs[0]); getCanonicalSize(inputBuffer, &inW, &inH, &inC, &inN); Halide::Var x("x"), y("y"), c("c"), n("n"); Halide::Func top = (name.empty() ? Halide::Func() : Halide::Func(name)); Halide::Func padded = Halide::BoundaryConditions::constant_exterior(inputBuffer, paddingValue); top(x, y, c, n) = padded(x, y, c, n); return Ptr<BackendNode>(new HalideBackendNode(top)); #endif // HAVE_HALIDE return Ptr<BackendNode>(); } int paddingDim, padding, inputDims, index; float paddingValue; }; Ptr<PaddingLayer> PaddingLayer::create(const LayerParams ¶ms) { return Ptr<PaddingLayer>(new PaddingLayerImpl(params)); } } }