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// 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));
}
}
}