#include "layers_common.hpp"
#include <float.h>
#include <algorithm>
+#include "opencl_kernels_dnn.hpp"
namespace cv
{
CV_Assert((int)_numAxes == inp0.dims);
computeStrides(shape(*inputs[0]), shape(outputs[0]));
+
+#ifdef HAVE_OPENCL
+ if (uorder.empty())
+ {
+ std::vector<int> orderVec(_order.begin(), _order.end());;
+ Mat morder(1, orderVec.size(), CV_32SC1, &orderVec[0]);
+
+ std::vector<int> oldStrideVec(_oldStride.begin(), _oldStride.end());
+ Mat mold_stride(1, _oldStride.size(), CV_32SC1, &oldStrideVec[0]);
+
+ std::vector<int> newStrideVec(_newStride.begin(), _newStride.end());
+ Mat mnew_stride(1, newStrideVec.size(), CV_32SC1, &newStrideVec[0]);
+
+ morder.copyTo(uorder);
+ mold_stride.copyTo(uold_stride);
+ mnew_stride.copyTo(unew_stride);
+ }
+#endif
}
class PermuteInvoker : public ParallelLoopBody
}
};
+#ifdef HAVE_OPENCL
+ bool forward_ocl(InputArrayOfArrays inps, OutputArrayOfArrays outs, OutputArrayOfArrays internals)
+ {
+ std::vector<UMat> inputs;
+ std::vector<UMat> outputs;
+
+ inps.getUMatVector(inputs);
+ outs.getUMatVector(outputs);
+
+ if (!_needsPermute)
+ return false;
+
+ for (size_t i = 0; i < inputs.size(); i++)
+ {
+ ocl::Kernel kernel("permute", ocl::dnn::permute_oclsrc);
+
+ kernel.set(0, (int)_count);
+ kernel.set(1, ocl::KernelArg::PtrReadOnly(inputs[i]));
+ kernel.set(2, ocl::KernelArg::PtrReadOnly(uorder));
+ kernel.set(3, ocl::KernelArg::PtrReadOnly(uold_stride));
+ kernel.set(4, ocl::KernelArg::PtrReadOnly(unew_stride));
+ kernel.set(5, (int)_numAxes);
+ kernel.set(6, ocl::KernelArg::PtrWriteOnly(outputs[i]));
+
+ if (!kernel.run(1, &_count, NULL, false))
+ return false;
+ }
+
+ return true;
+ }
+#endif
+
void forward(InputArrayOfArrays inputs_arr, OutputArrayOfArrays outputs_arr, OutputArrayOfArrays internals_arr)
{
CV_TRACE_FUNCTION();
CV_TRACE_ARG_VALUE(name, "name", name.c_str());
+ CV_OCL_RUN((preferableTarget == DNN_TARGET_OPENCL) &&
+ OCL_PERFORMANCE_CHECK(ocl::Device::getDefault().isIntel()),
+ forward_ocl(inputs_arr, outputs_arr, internals_arr))
+
Layer::forward_fallback(inputs_arr, outputs_arr, internals_arr);
}
std::vector<size_t> _newStride;
bool _needsPermute;
+#ifdef HAVE_OPENCL
+ UMat uorder, uold_stride, unew_stride;
+#endif
+
size_t _numAxes;
};
--- /dev/null
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+// By downloading, copying, installing or using the software you agree to this license.
+// If you do not agree to this license, do not download, install,
+// copy or use the software.
+//
+//
+// License Agreement
+// For Open Source Computer Vision Library
+//
+// Copyright (C) 2017, Intel Corporation, all rights reserved.
+// Copyright (c) 2016-2017 Fabian David Tschopp, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+// * Redistribution's of source code must retain the above copyright notice,
+// this list of conditions and the following disclaimer.
+//
+// * Redistribution's in binary form must reproduce the above copyright notice,
+// this list of conditions and the following disclaimer in the documentation
+// and/or other materials provided with the distribution.
+//
+// * The name of the copyright holders may not be used to endorse or promote products
+// derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#define Dtype float
+
+__kernel void permute(const int nthreads,
+ __global Dtype* bottom_data,
+ global int* permute_order,
+ global int* oldStride,
+ global int* newStride,
+ const int num_axes,
+ __global Dtype* top_data)
+{
+ for (int i = get_global_id(0); i < nthreads; i += get_global_size(0))
+ {
+ int oldPosition = 0;
+ int newPosition = i;
+
+ for (int j = 0; j < num_axes; ++j)
+ {
+ int order = permute_order[j];
+ oldPosition += (newPosition / newStride[j]) * oldStride[order];
+ newPosition %= newStride[j];
+ }
+
+ top_data[i] = bottom_data[oldPosition];
+ }
+}