#include "../precomp.hpp"
#include "layers_common.hpp"
#include "op_halide.hpp"
+#include "opencl_kernels_dnn.hpp"
namespace cv
{
switch (op)
{
case SUM:
- if (coeffs.empty())
- {
- add(inputs[0], inputs[1], outputs[0]);
- for (int i = 2; i < inputs.size(); ++i)
- add(outputs[0], inputs[i], outputs[0]);
- }
- else
{
- UMat mul0, mul1;
- multiply(coeffs[0], inputs[0], mul0);
- multiply(coeffs[1], inputs[1], mul1);
- add(mul0, mul1, outputs[0]);
- for (int i = 2; i < inputs.size(); ++i)
+ int channels = total(shape(outputs[0]), 0, 2);
+ int plane_size = total(shape(outputs[0]), 2);
+ if (channels % 4 == 0 && plane_size % 4 == 0)
+ {
+ size_t localsize[] = { 128 };
+ size_t globalsize[] = { (size_t)channels / 4 * localsize[0] };
+
+ for (int i = 0; i < (inputs.size() - 1); ++i)
+ {
+ String buildopt = format("-DLOOP=%d", i);
+ ocl::Kernel kernel("op_sum4", ocl::dnn::eltwise_oclsrc, buildopt);
+ int idx = 0;
+ UMat inpMat = (i == 0) ? inputs[0] : UMat();
+ float coeff1 = (coeffs.empty() || i > 0) ? 1.0f : coeffs[i];
+ float coeff2 = coeffs.empty() ? 1.0f : coeffs[i + 1];
+ kernel.set(idx++, ocl::KernelArg::PtrReadOnly(inputs[0]));
+ kernel.set(idx++, ocl::KernelArg::PtrReadOnly(inputs[1]));
+ kernel.set(idx++, (int)plane_size);
+ kernel.set(idx++, (float)coeff1);
+ kernel.set(idx++, (float)coeff2);
+ kernel.set(idx++, ocl::KernelArg::PtrReadWrite(outputs[0]));
+ bool ret = kernel.run(1, globalsize, localsize, false);
+ if (!ret)
+ return false;
+ }
+ }
+ else
{
- multiply(coeffs[i], inputs[i], mul0);
- add(mul0, outputs[0], outputs[0]);
+ float coeff1 = coeffs.empty() ? 1.f : coeffs[0];
+ float coeff2 = coeffs.empty() ? 1.f : coeffs[1];
+ UMat mul0, mul1;
+ multiply(coeff1, inputs[0], mul0);
+ multiply(coeff2, inputs[1], mul1);
+ add(mul0, mul1, outputs[0]);
+ for (int i = 2; i < inputs.size(); ++i)
+ {
+ float coeff = coeffs.empty() ? 1.f : coeffs[i];
+ multiply(coeff, inputs[i], mul0);
+ add(mul0, outputs[0], outputs[0]);
+ }
}
}
break;
--- /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
+#define Dtype4 float4
+#define Dtype8 float8
+
+__kernel void op_sum4(__global const Dtype * A,
+ __global const Dtype * B,
+ unsigned int A_col_size,
+ const float coeff1,
+ const float coeff2,
+ __global Dtype * C)
+{
+ unsigned int row_gid = get_group_id(0);
+ unsigned int lid = get_local_id(0);
+ const __global Dtype *src0_read = A + row_gid * 4 * A_col_size;
+ const __global Dtype *src1_read = B + row_gid * 4 * A_col_size;
+ __global Dtype *dst0_read = C + row_gid * 4 * A_col_size;
+
+ Dtype4 a0, a1, a2, a3;
+ Dtype4 dot0, dot1, dot2, dot3;
+ unsigned int i = lid;
+ while( i < A_col_size / 4)
+ {
+ const Dtype4 b0 = vload4(i, src1_read);
+ const Dtype4 b1 = vload4(i, src1_read + A_col_size);
+ const Dtype4 b2 = vload4(i, src1_read + 2 * A_col_size);
+ const Dtype4 b3 = vload4(i, src1_read + 3 * A_col_size);
+
+#if LOOP == 0
+ a0 = vload4(i, src0_read);
+ a1 = vload4(i, src0_read + A_col_size);
+ a2 = vload4(i, src0_read + 2 * A_col_size);
+ a3 = vload4(i, src0_read + 3 * A_col_size);
+
+ dot0 = a0 * coeff1 + b0 * coeff2;
+ dot1 = a1 * coeff1 + b1 * coeff2;
+ dot2 = a2 * coeff1 + b2 * coeff2;
+ dot3 = a3 * coeff1 + b3 * coeff2;
+#else
+ a0 = vload4(i, dst0_read);
+ a1 = vload4(i, dst0_read + A_col_size);
+ a2 = vload4(i, dst0_read + 2 * A_col_size);
+ a3 = vload4(i, dst0_read + 3 * A_col_size);
+
+ dot0 = a0 + b0 * coeff2;
+ dot1 = a1 + b1 * coeff2;
+ dot2 = a2 + b2 * coeff2;
+ dot3 = a3 + b3 * coeff2;
+#endif
+ vstore4(dot0, i, dst0_read);
+ vstore4(dot1, i, dst0_read + A_col_size);
+ vstore4(dot2, i, dst0_read + 2 * A_col_size);
+ vstore4(dot3, i, dst0_read + 3 * A_col_size);
+
+ i += get_local_size(0);
+ }
+}