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| author | Giorgio Arena <giorgio.arena@arm.com> | 2018-07-02 13:42:23 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:10 +0000 |
| commit | a50e5e034a1b9fbce066639cbebcd457a6259ef9 (patch) | |
| tree | aafadd80bf4b309f490b710aa4e73ab30eb574b8 | |
| parent | 767c9f77fa884ff7fd376b7bc477dc33a7603418 (diff) | |
| download | ComputeLibrary-a50e5e034a1b9fbce066639cbebcd457a6259ef9.tar.gz | |
COMPMID-1338 Split winograd.cl
Change-Id: I583227fc1a38b1a34de253e383d71cca66007f18
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/138273
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
| -rw-r--r-- | src/core/CL/CLKernelLibrary.cpp | 72 | ||||
| -rw-r--r-- | src/core/CL/cl_kernels/winograd.cl | 3882 | ||||
| -rw-r--r-- | src/core/CL/cl_kernels/winograd_filter_transform.cl | 1155 | ||||
| -rw-r--r-- | src/core/CL/cl_kernels/winograd_input_transform.cl | 1623 | ||||
| -rw-r--r-- | src/core/CL/cl_kernels/winograd_output_transform.cl | 1152 |
5 files changed, 3970 insertions, 3914 deletions
diff --git a/src/core/CL/CLKernelLibrary.cpp b/src/core/CL/CLKernelLibrary.cpp index fb688b5ee9..db4b344935 100644 --- a/src/core/CL/CLKernelLibrary.cpp +++ b/src/core/CL/CLKernelLibrary.cpp @@ -373,36 +373,36 @@ const std::map<std::string, std::string> CLKernelLibrary::_kernel_program_map = { "warp_affine_bilinear", "warp_affine.cl" }, { "warp_perspective_nearest_neighbour", "warp_perspective.cl" }, { "warp_perspective_bilinear", "warp_perspective.cl" }, - { "winograd_filter_transform_2x2_3x3_nchw", "winograd.cl" }, - { "winograd_filter_transform_2x1_3x1_nchw", "winograd.cl" }, - { "winograd_filter_transform_1x2_1x3_nchw", "winograd.cl" }, - { "winograd_filter_transform_4x4_3x3_nchw", "winograd.cl" }, - { "winograd_filter_transform_4x1_3x1_nchw", "winograd.cl" }, - { "winograd_filter_transform_1x4_1x3_nchw", "winograd.cl" }, - { "winograd_filter_transform_4x4_5x5_nchw", "winograd.cl" }, - { "winograd_filter_transform_4x4_3x3_nhwc", "winograd.cl" }, - { "winograd_filter_transform_4x4_5x5_nhwc", "winograd.cl" }, - { "winograd_input_transform_2x2_3x3_stepz1_nchw", "winograd.cl" }, - { "winograd_input_transform_2x2_3x3_stepz2_nchw", "winograd.cl" }, - { "winograd_input_transform_2x1_3x1_stepz1_nchw", "winograd.cl" }, - { "winograd_input_transform_2x1_3x1_stepz2_nchw", "winograd.cl" }, - { "winograd_input_transform_1x2_1x3_stepz1_nchw", "winograd.cl" }, - { "winograd_input_transform_1x2_1x3_stepz2_nchw", "winograd.cl" }, - { "winograd_input_transform_4x4_3x3_stepz1_nchw", "winograd.cl" }, - { "winograd_input_transform_4x1_3x1_stepz1_nchw", "winograd.cl" }, - { "winograd_input_transform_1x4_1x3_stepz1_nchw", "winograd.cl" }, - { "winograd_input_transform_4x4_5x5_stepz1_nchw", "winograd.cl" }, - { "winograd_input_transform_4x4_3x3_stepz1_nhwc", "winograd.cl" }, - { "winograd_input_transform_4x4_5x5_stepz1_nhwc", "winograd.cl" }, - { "winograd_output_transform_2x2_3x3_nchw", "winograd.cl" }, - { "winograd_output_transform_2x1_3x1_nchw", "winograd.cl" }, - { "winograd_output_transform_1x2_1x3_nchw", "winograd.cl" }, - { "winograd_output_transform_4x4_3x3_nchw", "winograd.cl" }, - { "winograd_output_transform_4x1_3x1_nchw", "winograd.cl" }, - { "winograd_output_transform_1x4_1x3_nchw", "winograd.cl" }, - { "winograd_output_transform_4x4_5x5_nchw", "winograd.cl" }, - { "winograd_output_transform_4x4_3x3_nhwc", "winograd.cl" }, - { "winograd_output_transform_4x4_5x5_nhwc", "winograd.cl" }, + { "winograd_filter_transform_2x2_3x3_nchw", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_2x1_3x1_nchw", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_1x2_1x3_nchw", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_4x4_3x3_nchw", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_4x1_3x1_nchw", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_1x4_1x3_nchw", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_4x4_5x5_nchw", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_4x4_3x3_nhwc", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_4x4_5x5_nhwc", "winograd_filter_transform.cl" }, + { "winograd_input_transform_2x2_3x3_stepz1_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_2x2_3x3_stepz2_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_2x1_3x1_stepz1_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_2x1_3x1_stepz2_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_1x2_1x3_stepz1_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_1x2_1x3_stepz2_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_4x4_3x3_stepz1_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_4x1_3x1_stepz1_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_1x4_1x3_stepz1_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_4x4_5x5_stepz1_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_4x4_3x3_stepz1_nhwc", "winograd_input_transform.cl" }, + { "winograd_input_transform_4x4_5x5_stepz1_nhwc", "winograd_input_transform.cl" }, + { "winograd_output_transform_2x2_3x3_nchw", "winograd_output_transform.cl" }, + { "winograd_output_transform_2x1_3x1_nchw", "winograd_output_transform.cl" }, + { "winograd_output_transform_1x2_1x3_nchw", "winograd_output_transform.cl" }, + { "winograd_output_transform_4x4_3x3_nchw", "winograd_output_transform.cl" }, + { "winograd_output_transform_4x1_3x1_nchw", "winograd_output_transform.cl" }, + { "winograd_output_transform_1x4_1x3_nchw", "winograd_output_transform.cl" }, + { "winograd_output_transform_4x4_5x5_nchw", "winograd_output_transform.cl" }, + { "winograd_output_transform_4x4_3x3_nhwc", "winograd_output_transform.cl" }, + { "winograd_output_transform_4x4_5x5_nhwc", "winograd_output_transform.cl" }, { "YUYV422_to_IYUV_bt709", "color_convert.cl" }, { "YUYV422_to_NV12_bt709", "color_convert.cl" }, { "YUYV422_to_RGB888_bt709", "color_convert.cl" }, @@ -745,8 +745,16 @@ const std::map<std::string, std::string> CLKernelLibrary::_program_source_map = #include "./cl_kernels/warp_perspective.clembed" }, { - "winograd.cl", -#include "./cl_kernels/winograd.clembed" + "winograd_filter_transform.cl", +#include "./cl_kernels/winograd_filter_transform.clembed" + }, + { + "winograd_input_transform.cl", +#include "./cl_kernels/winograd_input_transform.clembed" + }, + { + "winograd_output_transform.cl", +#include "./cl_kernels/winograd_output_transform.clembed" }, #endif /* EMBEDDED_KERNELS */ }; diff --git a/src/core/CL/cl_kernels/winograd.cl b/src/core/CL/cl_kernels/winograd.cl deleted file mode 100644 index ce48d28b74..0000000000 --- a/src/core/CL/cl_kernels/winograd.cl +++ /dev/null @@ -1,3882 +0,0 @@ -/* - * Copyright (c) 2018 ARM Limited. - * - * SPDX-License-Identifier: MIT - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to - * deal in the Software without restriction, including without limitation the - * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or - * sell copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ -#include "helpers.h" - -#if defined(SRC_DIM_Z) - -/** This OpenCL kernel performs Winograd filter transform 3x3/3x1/1x3 when the data layout is NCHW and the output tile is 2x2/2x1/1x2 - * - * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 - * @note If this kernel is used to perform Winograd filter transform 3x1, -DWINOGRAD_FILTER_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd filter transform 1x3, -DWINOGRAD_FILTER_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_filter_transform_2x2_3x3_nchw( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - Tensor4D src = CONVERT_TO_TENSOR4D_STRUCT(src, SRC_DIM_Z); - - const __global uchar *src_addr = tensor4D_offset(&src, 0, 0, 0, 0); - - // Load the values from the input tensor -#if defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - float3 w0 = vload3(0, (__global float *)(src_addr)); -#elif defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - float3 w0 = (float3)(*((__global float *)(src_addr + 0 * src_stride_y)), - *((__global float *)(src_addr + 1 * src_stride_y)), - *((__global float *)(src_addr + 2 * src_stride_y))); -#else // defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - float3 w0 = vload3(0, (__global float *)(src_addr + 0 * src_stride_y)); - float3 w1 = vload3(0, (__global float *)(src_addr + 1 * src_stride_y)); - float3 w2 = vload3(0, (__global float *)(src_addr + 2 * src_stride_y)); -#endif // defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - - // Row 0 - float4 out0 = 0.0f; - out0.s0 = (w0.s0); - out0.s1 = (w0.s0 + w0.s1 + w0.s2) * 0.5f; - out0.s2 = (w0.s0 + w0.s2 - w0.s1) * 0.5f; - out0.s3 = (w0.s2); - -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - // Row 1 - float4 out1 = 0.0f; - out1.s0 = (w0.s0 + w1.s0 + w2.s0) * 0.5f; - out1.s1 = (w0.s0 + w1.s0 + w2.s0 + w0.s1 + w1.s1 + w2.s1 + w0.s2 + w1.s2 + w2.s2) * 0.25f; - out1.s2 = (w0.s0 + w1.s0 + w2.s0 + w0.s2 + w1.s2 + w2.s2 - w0.s1 - w1.s1 - w2.s1) * 0.25f; - out1.s3 = (w0.s2 + w1.s2 + w2.s2) * 0.5f; - - // Row 2 - float4 out2 = 0.0f; - out2.s0 = (w0.s0 + w2.s0 - w1.s0) * 0.5f; - out2.s1 = (w0.s0 + w2.s0 + w0.s1 + w2.s1 + w0.s2 + w2.s2 - w1.s0 - w1.s1 - w1.s2) * 0.25f; - out2.s2 = (w0.s0 + w2.s0 + w1.s1 + w0.s2 + w2.s2 - w1.s0 - w0.s1 - w2.s1 - w1.s2) * 0.25f; - out2.s3 = (w0.s2 + w2.s2 - w1.s2) * 0.5f; - - // Row 3 - float4 out3 = 0.0f; - out3.s0 = (w2.s0); - out3.s1 = (w2.s0 + w2.s1 + w2.s2) * 0.5f; - out3.s2 = (w2.s0 + w2.s2 - w2.s1) * 0.5f; - out3.s3 = (w2.s2); -#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - - int z = get_global_id(2); - int x0 = z / SRC_DIM_Z; // idx filter - int y0 = z % SRC_DIM_Z; // idx channel - - // Get output address - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x0 * dst_stride_x + y0 * dst_stride_y; - - // Store the values across the channels - // 16 channels for 3x3 kernels - // 4 channels for 3x1 or 1x3 kernels - *(__global float *)(dst_addr + 0 * dst_stride_z) = out0.s0; - *(__global float *)(dst_addr + 1 * dst_stride_z) = out0.s1; - *(__global float *)(dst_addr + 2 * dst_stride_z) = out0.s2; - *(__global float *)(dst_addr + 3 * dst_stride_z) = out0.s3; - -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - *(__global float *)(dst_addr + 4 * dst_stride_z) = out1.s0; - *(__global float *)(dst_addr + 5 * dst_stride_z) = out1.s1; - *(__global float *)(dst_addr + 6 * dst_stride_z) = out1.s2; - *(__global float *)(dst_addr + 7 * dst_stride_z) = out1.s3; - *(__global float *)(dst_addr + 8 * dst_stride_z) = out2.s0; - *(__global float *)(dst_addr + 9 * dst_stride_z) = out2.s1; - *(__global float *)(dst_addr + 10 * dst_stride_z) = out2.s2; - *(__global float *)(dst_addr + 11 * dst_stride_z) = out2.s3; - *(__global float *)(dst_addr + 12 * dst_stride_z) = out3.s0; - *(__global float *)(dst_addr + 13 * dst_stride_z) = out3.s1; - *(__global float *)(dst_addr + 14 * dst_stride_z) = out3.s2; - *(__global float *)(dst_addr + 15 * dst_stride_z) = out3.s3; -#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) -} - -/** This OpenCL kernel performs Winograd filter transform 3x3/3x1/1x3 when the data layout is NCHW and the output tile is 4x4/4x1/1x4 - * - * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 - * @note If this kernel is used to perform Winograd filter transform 3x1, -DWINOGRAD_FILTER_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd filter transform 1x3, -DWINOGRAD_FILTER_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_filter_transform_4x4_3x3_nchw( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - Tensor4D src = CONVERT_TO_TENSOR4D_STRUCT(src, SRC_DIM_Z); - - const __global uchar *src_addr = tensor4D_offset(&src, 0, 0, 0, 0); - - // Load the values from the input tensor -#if defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - float3 w0 = vload3(0, (__global float *)(src_addr)); -#elif defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - float3 w0 = (float3)(*((__global float *)(src_addr + 0 * src_stride_y)), - *((__global float *)(src_addr + 1 * src_stride_y)), - *((__global float *)(src_addr + 2 * src_stride_y))); -#else // defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - float3 w0 = vload3(0, (__global float *)(src_addr + 0 * src_stride_y)); - float3 w1 = vload3(0, (__global float *)(src_addr + 1 * src_stride_y)); - float3 w2 = vload3(0, (__global float *)(src_addr + 2 * src_stride_y)); -#endif // defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - - // Row 0 - float8 out0 = 0.0f; - out0.s0 = (w0.s0) / 16.f; - out0.s1 = (-w0.s0 - w0.s1 - w0.s2) / 24.f; - out0.s2 = (-w0.s0 + w0.s1 - w0.s2) / 24.f; - out0.s3 = (w0.s0 + 2.f * w0.s1 + 4.f * w0.s2) / 96.f; - out0.s4 = (w0.s0 - 2.f * w0.s1 + 4.f * w0.s2) / 96.f; - out0.s5 = (w0.s2) / 4.f; - -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - // Row 1 - float8 out1 = 0.0f; - out1.s0 = (-w0.s0 - w1.s0 - w2.s0) / 24.f; - out1.s1 = (w0.s0 + w1.s0 + w2.s0 + w0.s1 + w1.s1 + w2.s1 + w0.s2 + w1.s2 + w2.s2) / 36.f; - out1.s2 = (w0.s0 + w1.s0 + w2.s0 - w0.s1 - w1.s1 - w2.s1 + w0.s2 + w1.s2 + w2.s2) / 36.f; - out1.s3 = (-w0.s0 - w1.s0 - w2.s0 + 2.f * (-w0.s1 - w1.s1 - w2.s1) + 4.f * (-w0.s2 - w1.s2 - w2.s2)) / 144.f; - out1.s4 = (-w0.s0 - w1.s0 - w2.s0 + 2.f * (w0.s1 + w1.s1 + w2.s1) + 4.f * (-w0.s2 - w1.s2 - w2.s2)) / 144.f; - out1.s5 = (-w0.s2 - w1.s2 - w2.s2) / 6.f; - - // Row 2 - float8 out2 = 0.0f; - out2.s0 = (-w0.s0 + w1.s0 - w2.s0) / 24.f; - out2.s1 = (w0.s0 - w1.s0 + w2.s0 + w0.s1 - w1.s1 + w2.s1 + w0.s2 - w1.s2 + w2.s2) / 36.f; - out2.s2 = (w0.s0 - w1.s0 + w2.s0 - w0.s1 + w1.s1 - w2.s1 + w0.s2 - w1.s2 + w2.s2) / 36.f; - out2.s3 = (-w0.s0 + w1.s0 - w2.s0 + 2.f * (-w0.s1 + w1.s1 - w2.s1) + 4.f * (-w0.s2 + w1.s2 - w2.s2)) / 144.f; - out2.s4 = (-w0.s0 + w1.s0 - w2.s0 + 2.f * (w0.s1 - w1.s1 + w2.s1) + 4.f * (-w0.s2 + w1.s2 - w2.s2)) / 144.f; - out2.s5 = (-w0.s2 + w1.s2 - w2.s2) / 6.f; - - // Row 3 - float8 out3 = 0.0f; - out3.s0 = (w0.s0 + 2.f * w1.s0 + 4.f * w2.s0) / 96.f; - out3.s1 = (-w0.s0 - 2.f * w1.s0 - 4.f * w2.s0 - w0.s1 - 2.f * w1.s1 - 4.f * w2.s1 - w0.s2 - 2.f * w1.s2 - 4.f * w2.s2) / 144.f; - out3.s2 = (-w0.s0 - 2.f * w1.s0 - 4.f * w2.s0 + w0.s1 + 2.f * w1.s1 + 4.f * w2.s1 - w0.s2 - 2.f * w1.s2 - 4.f * w2.s2) / 144.f; - out3.s3 = ((w0.s0 + 2.f * w1.s0 + 4.f * w2.s0) + 2.f * (w0.s1 + 2.f * w1.s1 + 4.f * w2.s1) + 4.f * (w0.s2 + 2.f * w1.s2 + 4.f * w2.s2)) / 576.f; - out3.s4 = ((w0.s0 + 2.f * w1.s0 + 4.f * w2.s0) + 2.f * (-w0.s1 - 2.f * w1.s1 - 4.f * w2.s1) + 4.f * (w0.s2 + 2.f * w1.s2 + 4.f * w2.s2)) / 576.f; - out3.s5 = (w0.s2 + 2.f * w1.s2 + 4.f * w2.s2) / 24.f; - - // Row 4 - float8 out4 = 0.0f; - out4.s0 = (w0.s0 - 2.f * w1.s0 + 4.f * w2.s0) / 96.f; - out4.s1 = (-w0.s0 + 2.f * w1.s0 - 4.f * w2.s0 - w0.s1 + 2.f * w1.s1 - 4.f * w2.s1 - w0.s2 + 2.f * w1.s2 - 4.f * w2.s2) / 144.f; - out4.s2 = (-w0.s0 + 2.f * w1.s0 - 4.f * w2.s0 + w0.s1 - 2.f * w1.s1 + 4.f * w2.s1 - w0.s2 + 2.f * w1.s2 - 4.f * w2.s2) / 144.f; - out4.s3 = ((w0.s0 - 2.f * w1.s0 + 4.f * w2.s0) + 2.f * (w0.s1 - 2.f * w1.s1 + 4.f * w2.s1) + 4.f * (w0.s2 - 2.f * w1.s2 + 4.f * w2.s2)) / 576.f; - out4.s4 = ((w0.s0 - 2.f * w1.s0 + 4.f * w2.s0) + 2.f * (-w0.s1 + 2.f * w1.s1 - 4.f * w2.s1) + 4.f * (w0.s2 - 2.f * w1.s2 + 4.f * w2.s2)) / 576.f; - out4.s5 = (w0.s2 - 2.f * w1.s2 + 4.f * w2.s2) / 24.f; - - // Row 5 - float8 out5 = 0.0f; - out5.s0 = (w2.s0) / 4.f; - out5.s1 = (-w2.s0 - w2.s1 - w2.s2) / 6.f; - out5.s2 = (-w2.s0 + w2.s1 - w2.s2) / 6.f; - out5.s3 = (w2.s0 + 2.f * w2.s1 + 4.f * w2.s2) / 24.f; - out5.s4 = (w2.s0 - 2.f * w2.s1 + 4.f * w2.s2) / 24.f; - out5.s5 = (w2.s2); -#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - - int z = get_global_id(2); - int x0 = z / SRC_DIM_Z; // idx filter - int y0 = z % SRC_DIM_Z; // idx channel - - // Get output address - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x0 * dst_stride_x + y0 * dst_stride_y; - - // Store the values across the channels - // 36 channels for 3x3 kernels - // 6 channels for 3x1 or 1x3 kernels - *(__global float *)(dst_addr + 0 * dst_stride_z) = out0.s0; - *(__global float *)(dst_addr + 1 * dst_stride_z) = out0.s1; - *(__global float *)(dst_addr + 2 * dst_stride_z) = out0.s2; - *(__global float *)(dst_addr + 3 * dst_stride_z) = out0.s3; - *(__global float *)(dst_addr + 4 * dst_stride_z) = out0.s4; - *(__global float *)(dst_addr + 5 * dst_stride_z) = out0.s5; - -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - *(__global float *)(dst_addr + 6 * dst_stride_z) = out1.s0; - *(__global float *)(dst_addr + 7 * dst_stride_z) = out1.s1; - *(__global float *)(dst_addr + 8 * dst_stride_z) = out1.s2; - *(__global float *)(dst_addr + 9 * dst_stride_z) = out1.s3; - *(__global float *)(dst_addr + 10 * dst_stride_z) = out1.s4; - *(__global float *)(dst_addr + 11 * dst_stride_z) = out1.s5; - *(__global float *)(dst_addr + 12 * dst_stride_z) = out2.s0; - *(__global float *)(dst_addr + 13 * dst_stride_z) = out2.s1; - *(__global float *)(dst_addr + 14 * dst_stride_z) = out2.s2; - *(__global float *)(dst_addr + 15 * dst_stride_z) = out2.s3; - *(__global float *)(dst_addr + 16 * dst_stride_z) = out2.s4; - *(__global float *)(dst_addr + 17 * dst_stride_z) = out2.s5; - *(__global float *)(dst_addr + 18 * dst_stride_z) = out3.s0; - *(__global float *)(dst_addr + 19 * dst_stride_z) = out3.s1; - *(__global float *)(dst_addr + 20 * dst_stride_z) = out3.s2; - *(__global float *)(dst_addr + 21 * dst_stride_z) = out3.s3; - *(__global float *)(dst_addr + 22 * dst_stride_z) = out3.s4; - *(__global float *)(dst_addr + 23 * dst_stride_z) = out3.s5; - *(__global float *)(dst_addr + 24 * dst_stride_z) = out4.s0; - *(__global float *)(dst_addr + 25 * dst_stride_z) = out4.s1; - *(__global float *)(dst_addr + 26 * dst_stride_z) = out4.s2; - *(__global float *)(dst_addr + 27 * dst_stride_z) = out4.s3; - *(__global float *)(dst_addr + 28 * dst_stride_z) = out4.s4; - *(__global float *)(dst_addr + 29 * dst_stride_z) = out4.s5; - *(__global float *)(dst_addr + 30 * dst_stride_z) = out5.s0; - *(__global float *)(dst_addr + 31 * dst_stride_z) = out5.s1; - *(__global float *)(dst_addr + 32 * dst_stride_z) = out5.s2; - *(__global float *)(dst_addr + 33 * dst_stride_z) = out5.s3; - *(__global float *)(dst_addr + 34 * dst_stride_z) = out5.s4; - *(__global float *)(dst_addr + 35 * dst_stride_z) = out5.s5; -#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) -} - -#if defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) -/** This OpenCL kernel performs Winograd filter transform 3x1 when the data layout is NCHW and the output tile is 2x1 - * - * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 - * @note -DWINOGRAD_FILTER_TRANSFORM_HORIZONTAL has to be passed at compile time to perform Winograd Filter Transform - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_filter_transform_2x1_3x1_nchw( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_filter_transform_2x2_3x3_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_stride_w, - src_step_w, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes); -} - -/** This OpenCL kernel performs Winograd filter transform 3x1 when the data layout is NCHW and the output tile is 4x1 - * - * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 - * @note -DWINOGRAD_FILTER_TRANSFORM_HORIZONTAL has to be passed at compile time to perform Winograd Filter Transform - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_filter_transform_4x1_3x1_nchw( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_filter_transform_4x4_3x3_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_stride_w, - src_step_w, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes); -} -#endif // defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - -#if defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) -/** This OpenCL kernel performs Winograd filter transform 1x3 when the data layout is NCHW and the output tile is 1x2 - * - * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 - * @note -DWINOGRAD_FILTER_TRANSFORM_VERTICAL has to be passed at compile time to perform Winograd Filter Transform - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_filter_transform_1x2_1x3_nchw( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_filter_transform_2x2_3x3_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_stride_w, - src_step_w, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes); -} - -/** This OpenCL kernel performs Winograd filter transform 1x3 when the data layout is NCHW and the output tile is 1x4 - * - * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 - * @note -DWINOGRAD_FILTER_TRANSFORM_VERTICAL has to be passed at compile time to perform Winograd Filter Transform - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_filter_transform_1x4_1x3_nchw( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_filter_transform_4x4_3x3_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_stride_w, - src_step_w, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes); -} -#endif // defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - -/** This OpenCL kernel performs Winograd filter transform 3x3 when the data layout is NHWC and the output tile is 4x4 - * - * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_filter_transform_4x4_3x3_nhwc( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - Tensor4D src = CONVERT_TO_TENSOR4D_STRUCT(src, SRC_DIM_Z); - - const __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + get_global_id(0) * src_step_x + get_global_id(1) * src_step_y + get_global_id(2) * src_step_w; - - // Load the values from the input tensor - float w00 = *((__global float *)(src_addr + 0 * src_stride_z + 0 * src_stride_y)); - float w01 = *((__global float *)(src_addr + 0 * src_stride_z + 1 * src_stride_y)); - float w02 = *((__global float *)(src_addr + 0 * src_stride_z + 2 * src_stride_y)); - float w10 = *((__global float *)(src_addr + 1 * src_stride_z + 0 * src_stride_y)); - float w11 = *((__global float *)(src_addr + 1 * src_stride_z + 1 * src_stride_y)); - float w12 = *((__global float *)(src_addr + 1 * src_stride_z + 2 * src_stride_y)); - float w20 = *((__global float *)(src_addr + 2 * src_stride_z + 0 * src_stride_y)); - float w21 = *((__global float *)(src_addr + 2 * src_stride_z + 1 * src_stride_y)); - float w22 = *((__global float *)(src_addr + 2 * src_stride_z + 2 * src_stride_y)); - - // Transform the 3x3 tile in a 6x6 tile - float out00, out01, out02, out03, out04, out05; - float out10, out11, out12, out13, out14, out15; - float out20, out21, out22, out23, out24, out25; - float out30, out31, out32, out33, out34, out35; - float out40, out41, out42, out43, out44, out45; - float out50, out51, out52, out53, out54, out55; - - out00 = out01 = out02 = out03 = out04 = out05 = 0.f; - out10 = out11 = out12 = out13 = out14 = out15 = 0.f; - out20 = out21 = out22 = out23 = out24 = out25 = 0.f; - out30 = out31 = out32 = out33 = out34 = out35 = 0.f; - out40 = out41 = out42 = out43 = out44 = out45 = 0.f; - out50 = out51 = out52 = out53 = out54 = out55 = 0.f; - - // Row 0 - out00 = (w00) / 16.f; - out01 = (-w00 - w01 - w02) / 24.f; - out02 = (-w00 + w01 - w02) / 24.f; - out03 = (w00 + 2.f * w01 + 4.f * w02) / 96.f; - out04 = (w00 - 2.f * w01 + 4.f * w02) / 96.f; - out05 = (w02) / 4.f; - - // Row 1 - out10 = (-w00 - w10 - w20) / 24.f; - out11 = (w00 + w10 + w20 + w01 + w11 + w21 + w02 + w12 + w22) / 36.f; - out12 = (w00 + w10 + w20 - w01 - w11 - w21 + w02 + w12 + w22) / 36.f; - out13 = (-w00 - w10 - w20 + 2.f * (-w01 - w11 - w21) + 4.f * (-w02 - w12 - w22)) / 144.f; - out14 = (-w00 - w10 - w20 + 2.f * (w01 + w11 + w21) + 4.f * (-w02 - w12 - w22)) / 144.f; - out15 = (-w02 - w12 - w22) / 6.f; - - // Row 2 - out20 = (-w00 + w10 - w20) / 24.f; - out21 = (w00 - w10 + w20 + w01 - w11 + w21 + w02 - w12 + w22) / 36.f; - out22 = (w00 - w10 + w20 - w01 + w11 - w21 + w02 - w12 + w22) / 36.f; - out23 = (-w00 + w10 - w20 + 2.f * (-w01 + w11 - w21) + 4.f * (-w02 + w12 - w22)) / 144.f; - out24 = (-w00 + w10 - w20 + 2.f * (w01 - w11 + w21) + 4.f * (-w02 + w12 - w22)) / 144.f; - out25 = (-w02 + w12 - w22) / 6.f; - - // Row 3 - out30 = (w00 + 2.f * w10 + 4.f * w20) / 96.f; - out31 = (-w00 - 2.f * w10 - 4.f * w20 - w01 - 2.f * w11 - 4.f * w21 - w02 - 2.f * w12 - 4.f * w22) / 144.f; - out32 = (-w00 - 2.f * w10 - 4.f * w20 + w01 + 2.f * w11 + 4.f * w21 - w02 - 2.f * w12 - 4.f * w22) / 144.f; - out33 = ((w00 + 2.f * w10 + 4.f * w20) + 2.f * (w01 + 2.f * w11 + 4.f * w21) + 4.f * (w02 + 2.f * w12 + 4.f * w22)) / 576.f; - out34 = ((w00 + 2.f * w10 + 4.f * w20) + 2.f * (-w01 - 2.f * w11 - 4.f * w21) + 4.f * (w02 + 2.f * w12 + 4.f * w22)) / 576.f; - out35 = (w02 + 2.f * w12 + 4.f * w22) / 24.f; - - // Row 4 - out40 = (w00 - 2.f * w10 + 4.f * w20) / 96.f; - out41 = (-w00 + 2.f * w10 - 4.f * w20 - w01 + 2.f * w11 - 4.f * w21 - w02 + 2.f * w12 - 4.f * w22) / 144.f; - out42 = (-w00 + 2.f * w10 - 4.f * w20 + w01 - 2.f * w11 + 4.f * w21 - w02 + 2.f * w12 - 4.f * w22) / 144.f; - out43 = ((w00 - 2.f * w10 + 4.f * w20) + 2.f * (w01 - 2.f * w11 + 4.f * w21) + 4.f * (w02 - 2.f * w12 + 4.f * w22)) / 576.f; - out44 = ((w00 - 2.f * w10 + 4.f * w20) + 2.f * (-w01 + 2.f * w11 - 4.f * w21) + 4.f * (w02 - 2.f * w12 + 4.f * w22)) / 576.f; - out45 = (w02 - 2.f * w12 + 4.f * w22) / 24.f; - - // Row 5 - out50 = (w20) / 4.f; - out51 = (-w20 - w21 - w22) / 6.f; - out52 = (-w20 + w21 - w22) / 6.f; - out53 = (w20 + 2.f * w21 + 4.f * w22) / 24.f; - out54 = (w20 - 2.f * w21 + 4.f * w22) / 24.f; - out55 = (w22); - - int x0 = get_global_id(2); // idx filter - int y0 = get_global_id(0); // idx channel - - // Get output address - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x0 * dst_stride_x + y0 * dst_stride_y; - - // Store the values across the channels - *(__global float *)(dst_addr + 0 * dst_stride_z) = out00; - *(__global float *)(dst_addr + 1 * dst_stride_z) = out01; - *(__global float *)(dst_addr + 2 * dst_stride_z) = out02; - *(__global float *)(dst_addr + 3 * dst_stride_z) = out03; - *(__global float *)(dst_addr + 4 * dst_stride_z) = out04; - *(__global float *)(dst_addr + 5 * dst_stride_z) = out05; - *(__global float *)(dst_addr + 6 * dst_stride_z) = out10; - *(__global float *)(dst_addr + 7 * dst_stride_z) = out11; - *(__global float *)(dst_addr + 8 * dst_stride_z) = out12; - *(__global float *)(dst_addr + 9 * dst_stride_z) = out13; - *(__global float *)(dst_addr + 10 * dst_stride_z) = out14; - *(__global float *)(dst_addr + 11 * dst_stride_z) = out15; - *(__global float *)(dst_addr + 12 * dst_stride_z) = out20; - *(__global float *)(dst_addr + 13 * dst_stride_z) = out21; - *(__global float *)(dst_addr + 14 * dst_stride_z) = out22; - *(__global float *)(dst_addr + 15 * dst_stride_z) = out23; - *(__global float *)(dst_addr + 16 * dst_stride_z) = out24; - *(__global float *)(dst_addr + 17 * dst_stride_z) = out25; - *(__global float *)(dst_addr + 18 * dst_stride_z) = out30; - *(__global float *)(dst_addr + 19 * dst_stride_z) = out31; - *(__global float *)(dst_addr + 20 * dst_stride_z) = out32; - *(__global float *)(dst_addr + 21 * dst_stride_z) = out33; - *(__global float *)(dst_addr + 22 * dst_stride_z) = out34; - *(__global float *)(dst_addr + 23 * dst_stride_z) = out35; - *(__global float *)(dst_addr + 24 * dst_stride_z) = out40; - *(__global float *)(dst_addr + 25 * dst_stride_z) = out41; - *(__global float *)(dst_addr + 26 * dst_stride_z) = out42; - *(__global float *)(dst_addr + 27 * dst_stride_z) = out43; - *(__global float *)(dst_addr + 28 * dst_stride_z) = out44; - *(__global float *)(dst_addr + 29 * dst_stride_z) = out45; - *(__global float *)(dst_addr + 30 * dst_stride_z) = out50; - *(__global float *)(dst_addr + 31 * dst_stride_z) = out51; - *(__global float *)(dst_addr + 32 * dst_stride_z) = out52; - *(__global float *)(dst_addr + 33 * dst_stride_z) = out53; - *(__global float *)(dst_addr + 34 * dst_stride_z) = out54; - *(__global float *)(dst_addr + 35 * dst_stride_z) = out55; -} -/** This OpenCL kernel performs Winograd filter transform 5x5 when the data layout is NCHW and the output tile is 4x4 - * - * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_filter_transform_4x4_5x5_nchw( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - Tensor4D src = CONVERT_TO_TENSOR4D_STRUCT(src, SRC_DIM_Z); - - const __global uchar *src_addr = tensor4D_offset(&src, 0, 0, 0, 0); - - // Load the values from the input tensor - const char stride_x = 4 * sizeof(float); // Used for accessing the last value in each row - const uchar8 stride_y = (uchar8)(0, 1, 2, 3, 4, 0, 0, 0) * (uchar8)src_stride_y; - - float4 w00 = vload4(0, (__global float *)(src_addr + stride_y.s0)); - float w01 = *((__global float *)(src_addr + stride_y.s0 + stride_x)); - float4 w10 = vload4(0, (__global float *)(src_addr + stride_y.s1)); - float w11 = *((__global float *)(src_addr + stride_y.s1 + stride_x)); - float4 w20 = vload4(0, (__global float *)(src_addr + stride_y.s2)); - float w21 = *((__global float *)(src_addr + stride_y.s2 + stride_x)); - float4 w30 = vload4(0, (__global float *)(src_addr + stride_y.s3)); - float w31 = *((__global float *)(src_addr + stride_y.s3 + stride_x)); - float4 w40 = vload4(0, (__global float *)(src_addr + stride_y.s4)); - float w41 = *((__global float *)(src_addr + stride_y.s4 + stride_x)); - - // Transform the 3x3 tile in a 8x8 tile - float8 out0 = 0.0f; - float8 out1 = 0.0f; - float8 out2 = 0.0f; - float8 out3 = 0.0f; - float8 out4 = 0.0f; - float8 out5 = 0.0f; - float8 out6 = 0.0f; - float8 out7 = 0.0f; - - // Row 0 - out0.s0 = w00.s0; - out0.s1 = -2.f * (w00.s0 + w00.s1 + w00.s2 + w00.s3 + w01) / 9.f; - out0.s2 = -2.f * (w00.s0 - w00.s1 + w00.s2 - w00.s3 + w01) / 9.f; - out0.s3 = (w00.s0 + 2.f * w00.s1 + 4.f * w00.s2 + 8.f * w00.s3 + 16.f * w01) / 90.f; - out0.s4 = (w00.s0 - 2.f * w00.s1 + 4.f * w00.s2 - 8.f * w00.s3 + 16.f * w01) / 90.f; - out0.s5 = (16.f * w00.s0 + 8.f * w00.s1 + 4.f * w00.s2 + 2.f * w00.s3 + w01) / 180.f; - out0.s6 = (16.f * w00.s0 - 8.f * w00.s1 + 4.f * w00.s2 - 2.f * w00.s3 + w01) / 180.f; - out0.s7 = w01; - - // Row 1 - out1.s0 = -2.f * (w00.s0 + w10.s0 + w20.s0 + w30.s0 + w40.s0) / 9.f; - out1.s1 = 4.f * ((w00.s0 + w10.s0 + w20.s0 + w30.s0 + w40.s0) + (w00.s1 + w10.s1 + w20.s1 + w30.s1 + w40.s1) + (w00.s2 + w10.s2 + w20.s2 + w30.s2 + w40.s2) + - (w00.s3 + w10.s3 + w20.s3 + w30.s3 + w40.s3) + (w01 + w11 + w21 + w31 + w41)) / 81.f; - out1.s2 = 4.f * ((w00.s0 + w10.s0 + w20.s0 + w30.s0 + w40.s0) - (w00.s1 + w10.s1 + w20.s1 + w30.s1 + w40.s1) + (w00.s2 + w10.s2 + w20.s2 + w30.s2 + w40.s2) - - (w00.s3 + w10.s3 + w20.s3 + w30.s3 + w40.s3) + (w01 + w11 + w21 + w31 + w41)) / 81.f; - out1.s3 = -((w00.s0 + w10.s0 + w20.s0 + w30.s0 + w40.s0) + 2.f * (w00.s1 + w10.s1 + w20.s1 + w30.s1 + w40.s1) + 4.f * (w00.s2 + w10.s2 + w20.s2 + w30.s2 + w40.s2) + 8.f * - (w00.s3 + w10.s3 + w20.s3 + w30.s3 + w40.s3) + 16.f * (w01 + w11 + w21 + w31 + w41)) / 405.f; - out1.s4 = -((w00.s0 + w10.s0 + w20.s0 + w30.s0 + w40.s0) - 2.f * (w00.s1 + w10.s1 + w20.s1 + w30.s1 + w40.s1) + 4.f * (w00.s2 + w10.s2 + w20.s2 + w30.s2 + w40.s2) - 8.f * - (w00.s3 + w10.s3 + w20.s3 + w30.s3 + w40.s3) + 16.f * (w01 + w11 + w21 + w31 + w41)) / 405.f; - out1.s5 = -(16.f * (w00.s0 + w10.s0 + w20.s0 + w30.s0 + w40.s0) + 8.f * (w00.s1 + w10.s1 + w20.s1 + w30.s1 + w40.s1) + 4.f * (w00.s2 + w10.s2 + w20.s2 + w30.s2 + w40.s2) + 2.f * - (w00.s3 + w10.s3 + w20.s3 + w30.s3 + w40.s3) + (w01 + w11 + w21 + w31 + w41)) / 810.f; - out1.s6 = -(16.f * (w00.s0 + w10.s0 + w20.s0 + w30.s0 + w40.s0) - 8.f * (w00.s1 + w10.s1 + w20.s1 + w30.s1 + w40.s1) + 4.f * (w00.s2 + w10.s2 + w20.s2 + w30.s2 + w40.s2) - 2.f * - (w00.s3 + w10.s3 + w20.s3 + w30.s3 + w40.s3) + (w01 + w11 + w21 + w31 + w41)) / 810.f; - out1.s7 = -2.f * (w01 + w11 + w21 + w31 + w41) / 9.f; - - // Row 2 - out2.s0 = -2.f * (w00.s0 - w10.s0 + w20.s0 - w30.s0 + w40.s0) / 9.f; - out2.s1 = 4.f * ((w00.s0 - w10.s0 + w20.s0 - w30.s0 + w40.s0) + (w00.s1 - w10.s1 + w20.s1 - w30.s1 + w40.s1) + (w00.s2 - w10.s2 + w20.s2 - w30.s2 + w40.s2) + - (w00.s3 - w10.s3 + w20.s3 - w30.s3 + w40.s3) + (w01 - w11 + w21 - w31 + w41)) / 81.f; - out2.s2 = 4.f * ((w00.s0 - w10.s0 + w20.s0 - w30.s0 + w40.s0) - (w00.s1 - w10.s1 + w20.s1 - w30.s1 + w40.s1) + (w00.s2 - w10.s2 + w20.s2 - w30.s2 + w40.s2) - - (w00.s3 - w10.s3 + w20.s3 - w30.s3 + w40.s3) + (w01 - w11 + w21 - w31 + w41)) / 81.f; - out2.s3 = -((w00.s0 - w10.s0 + w20.s0 - w30.s0 + w40.s0) + 2.f * (w00.s1 - w10.s1 + w20.s1 - w30.s1 + w40.s1) + 4.f * (w00.s2 - w10.s2 + w20.s2 - w30.s2 + w40.s2) + 8.f * - (w00.s3 - w10.s3 + w20.s3 - w30.s3 + w40.s3) + 16.f * (w01 - w11 + w21 - w31 + w41)) / 405.f; - out2.s4 = -((w00.s0 - w10.s0 + w20.s0 - w30.s0 + w40.s0) - 2.f * (w00.s1 - w10.s1 + w20.s1 - w30.s1 + w40.s1) + 4.f * (w00.s2 - w10.s2 + w20.s2 - w30.s2 + w40.s2) - 8.f * - (w00.s3 - w10.s3 + w20.s3 - w30.s3 + w40.s3) + 16.f * (w01 - w11 + w21 - w31 + w41)) / 405.f; - out2.s5 = -(16.f * (w00.s0 - w10.s0 + w20.s0 - w30.s0 + w40.s0) + 8.f * (w00.s1 - w10.s1 + w20.s1 - w30.s1 + w40.s1) + 4.f * (w00.s2 - w10.s2 + w20.s2 - w30.s2 + w40.s2) + 2.f * - (w00.s3 - w10.s3 + w20.s3 - w30.s3 + w40.s3) + (w01 - w11 + w21 - w31 + w41)) / 810.f; - out2.s6 = -(16.f * (w00.s0 - w10.s0 + w20.s0 - w30.s0 + w40.s0) - 8.f * (w00.s1 - w10.s1 + w20.s1 - w30.s1 + w40.s1) + 4.f * (w00.s2 - w10.s2 + w20.s2 - w30.s2 + w40.s2) - 2.f * - (w00.s3 - w10.s3 + w20.s3 - w30.s3 + w40.s3) + (w01 - w11 + w21 - w31 + w41)) / 810.f; - out2.s7 = -2.f * (w01 - w11 + w21 - w31 + w41) / 9.f; - - // Row 3 - out3.s0 = (w00.s0 + 2.f * w10.s0 + 4.f * w20.s0 + 8.f * w30.s0 + 16.f * w40.s0) / 90.f; - out3.s1 = -((w00.s0 + 2.f * w10.s0 + 4.f * w20.s0 + 8.f * w30.s0 + 16.f * w40.s0) + (w00.s1 + 2.f * w10.s1 + 4.f * w20.s1 + 8.f * w30.s1 + 16.f * w40.s1) + - (w00.s2 + 2.f * w10.s2 + 4.f * w20.s2 + 8.f * w30.s2 + 16.f * w40.s2) + (w00.s3 + 2.f * w10.s3 + 4.f * w20.s3 + 8.f * w30.s3 + 16.f * w40.s3) + - (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41)) / 405.f; - out3.s2 = -((w00.s0 + 2.f * w10.s0 + 4.f * w20.s0 + 8.f * w30.s0 + 16.f * w40.s0) - (w00.s1 + 2.f * w10.s1 + 4.f * w20.s1 + 8.f * w30.s1 + 16.f * w40.s1) + - (w00.s2 + 2.f * w10.s2 + 4.f * w20.s2 + 8.f * w30.s2 + 16.f * w40.s2) - (w00.s3 + 2.f * w10.s3 + 4.f * w20.s3 + 8.f * w30.s3 + 16.f * w40.s3) + - (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41)) / 405.f; - out3.s3 = ((w00.s0 + 2.f * w10.s0 + 4.f * w20.s0 + 8.f * w30.s0 + 16.f * w40.s0) + 2.f * (w00.s1 + 2.f * w10.s1 + 4.f * w20.s1 + 8.f * w30.s1 + 16.f * w40.s1) + 4.f * - (w00.s2 + 2.f * w10.s2 + 4.f * w20.s2 + 8.f * w30.s2 + 16.f * w40.s2) + 8.f * (w00.s3 + 2.f * w10.s3 + 4.f * w20.s3 + 8.f * w30.s3 + 16.f * w40.s3) + 16.f * - (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41)) / 8100.f; - out3.s4 = ((w00.s0 + 2.f * w10.s0 + 4.f * w20.s0 + 8.f * w30.s0 + 16.f * w40.s0) - 2.f * (w00.s1 + 2.f * w10.s1 + 4.f * w20.s1 + 8.f * w30.s1 + 16.f * w40.s1) + 4.f * - (w00.s2 + 2.f * w10.s2 + 4.f * w20.s2 + 8.f * w30.s2 + 16.f * w40.s2) - 8.f * (w00.s3 + 2.f * w10.s3 + 4.f * w20.s3 + 8.f * w30.s3 + 16.f * w40.s3) + 16.f * - (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41)) / 8100.f; - out3.s5 = (16.f * (w00.s0 + 2.f * w10.s0 + 4.f * w20.s0 + 8.f * w30.s0 + 16.f * w40.s0) + 8.f * (w00.s1 + 2.f * w10.s1 + 4.f * w20.s1 + 8.f * w30.s1 + 16.f * w40.s1) + 4.f * - (w00.s2 + 2.f * w10.s2 + 4.f * w20.s2 + 8.f * w30.s2 + 16.f * w40.s2) + 2.f * (w00.s3 + 2.f * w10.s3 + 4.f * w20.s3 + 8.f * w30.s3 + 16.f * w40.s3) + - (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41)) / 16200.f; - out3.s6 = (16.f * (w00.s0 + 2.f * w10.s0 + 4.f * w20.s0 + 8.f * w30.s0 + 16.f * w40.s0) - 8.f * (w00.s1 + 2.f * w10.s1 + 4.f * w20.s1 + 8.f * w30.s1 + 16.f * w40.s1) + 4.f * - (w00.s2 + 2.f * w10.s2 + 4.f * w20.s2 + 8.f * w30.s2 + 16.f * w40.s2) - 2.f * (w00.s3 + 2.f * w10.s3 + 4.f * w20.s3 + 8.f * w30.s3 + 16.f * w40.s3) + - (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41)) / 16200.f; - out3.s7 = (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41) / 90.f; - - // Row 4 - out4.s0 = (w00.s0 - 2.f * w10.s0 + 4.f * w20.s0 - 8.f * w30.s0 + 16.f * w40.s0) / 90.f; - out4.s1 = -((w00.s0 - 2.f * w10.s0 + 4.f * w20.s0 - 8.f * w30.s0 + 16.f * w40.s0) + (w00.s1 - 2.f * w10.s1 + 4.f * w20.s1 - 8.f * w30.s1 + 16.f * w40.s1) + - (w00.s2 - 2.f * w10.s2 + 4.f * w20.s2 - 8.f * w30.s2 + 16.f * w40.s2) + (w00.s3 - 2.f * w10.s3 + 4.f * w20.s3 - 8.f * w30.s3 + 16.f * w40.s3) + - (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41)) / 405.f; - out4.s2 = -((w00.s0 - 2.f * w10.s0 + 4.f * w20.s0 - 8.f * w30.s0 + 16.f * w40.s0) - (w00.s1 - 2.f * w10.s1 + 4.f * w20.s1 - 8.f * w30.s1 + 16.f * w40.s1) + - (w00.s2 - 2.f * w10.s2 + 4.f * w20.s2 - 8.f * w30.s2 + 16.f * w40.s2) - (w00.s3 - 2.f * w10.s3 + 4.f * w20.s3 - 8.f * w30.s3 + 16.f * w40.s3) + - (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41)) / 405.f; - out4.s3 = ((w00.s0 - 2.f * w10.s0 + 4.f * w20.s0 - 8.f * w30.s0 + 16.f * w40.s0) + 2.f * (w00.s1 - 2.f * w10.s1 + 4.f * w20.s1 - 8.f * w30.s1 + 16.f * w40.s1) + 4.f * - (w00.s2 - 2.f * w10.s2 + 4.f * w20.s2 - 8.f * w30.s2 + 16.f * w40.s2) + 8.f * (w00.s3 - 2.f * w10.s3 + 4.f * w20.s3 - 8.f * w30.s3 + 16.f * w40.s3) + 16.f * - (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41)) / 8100.f; - out4.s4 = ((w00.s0 - 2.f * w10.s0 + 4.f * w20.s0 - 8.f * w30.s0 + 16.f * w40.s0) - 2.f * (w00.s1 - 2.f * w10.s1 + 4.f * w20.s1 - 8.f * w30.s1 + 16.f * w40.s1) + 4.f * - (w00.s2 - 2.f * w10.s2 + 4.f * w20.s2 - 8.f * w30.s2 + 16.f * w40.s2) - 8.f * (w00.s3 - 2.f * w10.s3 + 4.f * w20.s3 - 8.f * w30.s3 + 16.f * w40.s3) + 16.f * - (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41)) / 8100.f; - out4.s5 = (16.f * (w00.s0 - 2.f * w10.s0 + 4.f * w20.s0 - 8.f * w30.s0 + 16.f * w40.s0) + 8.f * (w00.s1 - 2.f * w10.s1 + 4.f * w20.s1 - 8.f * w30.s1 + 16.f * w40.s1) + 4.f * - (w00.s2 - 2.f * w10.s2 + 4.f * w20.s2 - 8.f * w30.s2 + 16.f * w40.s2) + 2.f * (w00.s3 - 2.f * w10.s3 + 4.f * w20.s3 - 8.f * w30.s3 + 16.f * w40.s3) + - (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41)) / 16200.f; - out4.s6 = (16.f * (w00.s0 - 2.f * w10.s0 + 4.f * w20.s0 - 8.f * w30.s0 + 16.f * w40.s0) - 8.f * (w00.s1 - 2.f * w10.s1 + 4.f * w20.s1 - 8.f * w30.s1 + 16.f * w40.s1) + 4.f * - (w00.s2 - 2.f * w10.s2 + 4.f * w20.s2 - 8.f * w30.s2 + 16.f * w40.s2) - 2.f * (w00.s3 - 2.f * w10.s3 + 4.f * w20.s3 - 8.f * w30.s3 + 16.f * w40.s3) + - (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41)) / 16200.f; - out4.s7 = (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41) / 90.f; - - // Row 5 - out5.s0 = (16.f * w00.s0 + 8.f * w10.s0 + 4.f * w20.s0 + 2.f * w30.s0 + w40.s0) / 180.f; - out5.s1 = -((16.f * w00.s0 + 8.f * w10.s0 + 4.f * w20.s0 + 2.f * w30.s0 + w40.s0) + (16.f * w00.s1 + 8.f * w10.s1 + 4.f * w20.s1 + 2.f * w30.s1 + w40.s1) + - (16.f * w00.s2 + 8.f * w10.s2 + 4.f * w20.s2 + 2.f * w30.s2 + w40.s2) + (16.f * w00.s3 + 8.f * w10.s3 + 4.f * w20.s3 + 2.f * w30.s3 + w40.s3) + - (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41)) / 810.f; - out5.s2 = -((16.f * w00.s0 + 8.f * w10.s0 + 4.f * w20.s0 + 2.f * w30.s0 + w40.s0) - (16.f * w00.s1 + 8.f * w10.s1 + 4.f * w20.s1 + 2.f * w30.s1 + w40.s1) + - (16.f * w00.s2 + 8.f * w10.s2 + 4.f * w20.s2 + 2.f * w30.s2 + w40.s2) - (16.f * w00.s3 + 8.f * w10.s3 + 4.f * w20.s3 + 2.f * w30.s3 + w40.s3) + - (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41)) / 810.f; - out5.s3 = ((16.f * w00.s0 + 8.f * w10.s0 + 4.f * w20.s0 + 2.f * w30.s0 + w40.s0) + 2.f * (16.f * w00.s1 + 8.f * w10.s1 + 4.f * w20.s1 + 2.f * w30.s1 + w40.s1) + 4.f * - (16.f * w00.s2 + 8.f * w10.s2 + 4.f * w20.s2 + 2.f * w30.s2 + w40.s2) + 8.f * (16.f * w00.s3 + 8.f * w10.s3 + 4.f * w20.s3 + 2.f * w30.s3 + w40.s3) + 16.f * - (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41)) / 16200.f; - out5.s4 = ((16.f * w00.s0 + 8.f * w10.s0 + 4.f * w20.s0 + 2.f * w30.s0 + w40.s0) - 2.f * (16.f * w00.s1 + 8.f * w10.s1 + 4.f * w20.s1 + 2.f * w30.s1 + w40.s1) + 4.f * - (16.f * w00.s2 + 8.f * w10.s2 + 4.f * w20.s2 + 2.f * w30.s2 + w40.s2) - 8.f * (16.f * w00.s3 + 8.f * w10.s3 + 4.f * w20.s3 + 2.f * w30.s3 + w40.s3) + 16.f * - (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41)) / 16200.f; - out5.s5 = (16.f * (16.f * w00.s0 + 8.f * w10.s0 + 4.f * w20.s0 + 2.f * w30.s0 + w40.s0) + 8.f * (16.f * w00.s1 + 8.f * w10.s1 + 4.f * w20.s1 + 2.f * w30.s1 + w40.s1) + 4.f * - (16.f * w00.s2 + 8.f * w10.s2 + 4.f * w20.s2 + 2.f * w30.s2 + w40.s2) + 2.f * (16.f * w00.s3 + 8.f * w10.s3 + 4.f * w20.s3 + 2.f * w30.s3 + w40.s3) + - (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41)) / 32400.f; - out5.s6 = (16.f * (16.f * w00.s0 + 8.f * w10.s0 + 4.f * w20.s0 + 2.f * w30.s0 + w40.s0) - 8.f * (16.f * w00.s1 + 8.f * w10.s1 + 4.f * w20.s1 + 2.f * w30.s1 + w40.s1) + 4.f * - (16.f * w00.s2 + 8.f * w10.s2 + 4.f * w20.s2 + 2.f * w30.s2 + w40.s2) - 2.f * (16.f * w00.s3 + 8.f * w10.s3 + 4.f * w20.s3 + 2.f * w30.s3 + w40.s3) + - (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41)) / 32400.f; - out5.s7 = (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41) / 180.f; - - // Row 6 - out6.s0 = (16.f * w00.s0 - 8.f * w10.s0 + 4.f * w20.s0 - 2.f * w30.s0 + w40.s0) / 180.f; - out6.s1 = -((16.f * w00.s0 - 8.f * w10.s0 + 4.f * w20.s0 - 2.f * w30.s0 + w40.s0) + (16.f * w00.s1 - 8.f * w10.s1 + 4.f * w20.s1 - 2.f * w30.s1 + w40.s1) + - (16.f * w00.s2 - 8.f * w10.s2 + 4.f * w20.s2 - 2.f * w30.s2 + w40.s2) + (16.f * w00.s3 - 8.f * w10.s3 + 4.f * w20.s3 - 2.f * w30.s3 + w40.s3) + - (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41)) / 810.f; - out6.s2 = -((16.f * w00.s0 - 8.f * w10.s0 + 4.f * w20.s0 - 2.f * w30.s0 + w40.s0) - (16.f * w00.s1 - 8.f * w10.s1 + 4.f * w20.s1 - 2.f * w30.s1 + w40.s1) + - (16.f * w00.s2 - 8.f * w10.s2 + 4.f * w20.s2 - 2.f * w30.s2 + w40.s2) - (16.f * w00.s3 - 8.f * w10.s3 + 4.f * w20.s3 - 2.f * w30.s3 + w40.s3) + - (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41)) / 810.f; - out6.s3 = ((16.f * w00.s0 - 8.f * w10.s0 + 4.f * w20.s0 - 2.f * w30.s0 + w40.s0) + 2.f * (16.f * w00.s1 - 8.f * w10.s1 + 4.f * w20.s1 - 2.f * w30.s1 + w40.s1) + 4.f * - (16.f * w00.s2 - 8.f * w10.s2 + 4.f * w20.s2 - 2.f * w30.s2 + w40.s2) + 8.f * (16.f * w00.s3 - 8.f * w10.s3 + 4.f * w20.s3 - 2.f * w30.s3 + w40.s3) + 16.f * - (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41)) / 16200.f; - out6.s4 = ((16.f * w00.s0 - 8.f * w10.s0 + 4.f * w20.s0 - 2.f * w30.s0 + w40.s0) - 2.f * (16.f * w00.s1 - 8.f * w10.s1 + 4.f * w20.s1 - 2.f * w30.s1 + w40.s1) + 4.f * - (16.f * w00.s2 - 8.f * w10.s2 + 4.f * w20.s2 - 2.f * w30.s2 + w40.s2) - 8.f * (16.f * w00.s3 - 8.f * w10.s3 + 4.f * w20.s3 - 2.f * w30.s3 + w40.s3) + 16.f * - (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41)) / 16200.f; - out6.s5 = (16.f * (16.f * w00.s0 - 8.f * w10.s0 + 4.f * w20.s0 - 2.f * w30.s0 + w40.s0) + 8.f * (16.f * w00.s1 - 8.f * w10.s1 + 4.f * w20.s1 - 2.f * w30.s1 + w40.s1) + 4.f * - (16.f * w00.s2 - 8.f * w10.s2 + 4.f * w20.s2 - 2.f * w30.s2 + w40.s2) + 2.f * (16.f * w00.s3 - 8.f * w10.s3 + 4.f * w20.s3 - 2.f * w30.s3 + w40.s3) + - (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41)) / 32400.f; - out6.s6 = (16.f * (16.f * w00.s0 - 8.f * w10.s0 + 4.f * w20.s0 - 2.f * w30.s0 + w40.s0) - 8.f * (16.f * w00.s1 - 8.f * w10.s1 + 4.f * w20.s1 - 2.f * w30.s1 + w40.s1) + 4.f * - (16.f * w00.s2 - 8.f * w10.s2 + 4.f * w20.s2 - 2.f * w30.s2 + w40.s2) - 2.f * (16.f * w00.s3 - 8.f * w10.s3 + 4.f * w20.s3 - 2.f * w30.s3 + w40.s3) + - (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41)) / 32400.f; - out6.s7 = (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41) / 180.f; - - // Row 7 - out7.s0 = w40.s0; - out7.s1 = -2.f * (w40.s0 + w40.s1 + w40.s2 + w40.s3 + w41) / 9.f; - out7.s2 = -2.f * (w40.s0 - w40.s1 + w40.s2 - w40.s3 + w41) / 9.f; - out7.s3 = (w40.s0 + 2.f * w40.s1 + 4.f * w40.s2 + 8.f * w40.s3 + 16.f * w41) / 90.f; - out7.s4 = (w40.s0 - 2.f * w40.s1 + 4.f * w40.s2 - 8.f * w40.s3 + 16.f * w41) / 90.f; - out7.s5 = (16.f * w40.s0 + 8.f * w40.s1 + 4.f * w40.s2 + 2.f * w40.s3 + w41) / 180.f; - out7.s6 = (16.f * w40.s0 - 8.f * w40.s1 + 4.f * w40.s2 - 2.f * w40.s3 + w41) / 180.f; - out7.s7 = w41; - - int z = get_global_id(2); - int x0 = z / SRC_DIM_Z; // idx filter - int y0 = z % SRC_DIM_Z; // idx channel - - // Get output address - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x0 * dst_stride_x + y0 * dst_stride_y; - - // Store the 64 values across the 64 channels - *(__global float *)(dst_addr + 0 * dst_stride_z) = out0.s0; - *(__global float *)(dst_addr + 1 * dst_stride_z) = out0.s1; - *(__global float *)(dst_addr + 2 * dst_stride_z) = out0.s2; - *(__global float *)(dst_addr + 3 * dst_stride_z) = out0.s3; - *(__global float *)(dst_addr + 4 * dst_stride_z) = out0.s4; - *(__global float *)(dst_addr + 5 * dst_stride_z) = out0.s5; - *(__global float *)(dst_addr + 6 * dst_stride_z) = out0.s6; - *(__global float *)(dst_addr + 7 * dst_stride_z) = out0.s7; - *(__global float *)(dst_addr + 8 * dst_stride_z) = out1.s0; - *(__global float *)(dst_addr + 9 * dst_stride_z) = out1.s1; - *(__global float *)(dst_addr + 10 * dst_stride_z) = out1.s2; - *(__global float *)(dst_addr + 11 * dst_stride_z) = out1.s3; - *(__global float *)(dst_addr + 12 * dst_stride_z) = out1.s4; - *(__global float *)(dst_addr + 13 * dst_stride_z) = out1.s5; - *(__global float *)(dst_addr + 14 * dst_stride_z) = out1.s6; - *(__global float *)(dst_addr + 15 * dst_stride_z) = out1.s7; - *(__global float *)(dst_addr + 16 * dst_stride_z) = out2.s0; - *(__global float *)(dst_addr + 17 * dst_stride_z) = out2.s1; - *(__global float *)(dst_addr + 18 * dst_stride_z) = out2.s2; - *(__global float *)(dst_addr + 19 * dst_stride_z) = out2.s3; - *(__global float *)(dst_addr + 20 * dst_stride_z) = out2.s4; - *(__global float *)(dst_addr + 21 * dst_stride_z) = out2.s5; - *(__global float *)(dst_addr + 22 * dst_stride_z) = out2.s6; - *(__global float *)(dst_addr + 23 * dst_stride_z) = out2.s7; - *(__global float *)(dst_addr + 24 * dst_stride_z) = out3.s0; - *(__global float *)(dst_addr + 25 * dst_stride_z) = out3.s1; - *(__global float *)(dst_addr + 26 * dst_stride_z) = out3.s2; - *(__global float *)(dst_addr + 27 * dst_stride_z) = out3.s3; - *(__global float *)(dst_addr + 28 * dst_stride_z) = out3.s4; - *(__global float *)(dst_addr + 29 * dst_stride_z) = out3.s5; - *(__global float *)(dst_addr + 30 * dst_stride_z) = out3.s6; - *(__global float *)(dst_addr + 31 * dst_stride_z) = out3.s7; - *(__global float *)(dst_addr + 32 * dst_stride_z) = out4.s0; - *(__global float *)(dst_addr + 33 * dst_stride_z) = out4.s1; - *(__global float *)(dst_addr + 34 * dst_stride_z) = out4.s2; - *(__global float *)(dst_addr + 35 * dst_stride_z) = out4.s3; - *(__global float *)(dst_addr + 36 * dst_stride_z) = out4.s4; - *(__global float *)(dst_addr + 37 * dst_stride_z) = out4.s5; - *(__global float *)(dst_addr + 38 * dst_stride_z) = out4.s6; - *(__global float *)(dst_addr + 39 * dst_stride_z) = out4.s7; - *(__global float *)(dst_addr + 40 * dst_stride_z) = out5.s0; - *(__global float *)(dst_addr + 41 * dst_stride_z) = out5.s1; - *(__global float *)(dst_addr + 42 * dst_stride_z) = out5.s2; - *(__global float *)(dst_addr + 43 * dst_stride_z) = out5.s3; - *(__global float *)(dst_addr + 44 * dst_stride_z) = out5.s4; - *(__global float *)(dst_addr + 45 * dst_stride_z) = out5.s5; - *(__global float *)(dst_addr + 46 * dst_stride_z) = out5.s6; - *(__global float *)(dst_addr + 47 * dst_stride_z) = out5.s7; - *(__global float *)(dst_addr + 48 * dst_stride_z) = out6.s0; - *(__global float *)(dst_addr + 49 * dst_stride_z) = out6.s1; - *(__global float *)(dst_addr + 50 * dst_stride_z) = out6.s2; - *(__global float *)(dst_addr + 51 * dst_stride_z) = out6.s3; - *(__global float *)(dst_addr + 52 * dst_stride_z) = out6.s4; - *(__global float *)(dst_addr + 53 * dst_stride_z) = out6.s5; - *(__global float *)(dst_addr + 54 * dst_stride_z) = out6.s6; - *(__global float *)(dst_addr + 55 * dst_stride_z) = out6.s7; - *(__global float *)(dst_addr + 56 * dst_stride_z) = out7.s0; - *(__global float *)(dst_addr + 57 * dst_stride_z) = out7.s1; - *(__global float *)(dst_addr + 58 * dst_stride_z) = out7.s2; - *(__global float *)(dst_addr + 59 * dst_stride_z) = out7.s3; - *(__global float *)(dst_addr + 60 * dst_stride_z) = out7.s4; - *(__global float *)(dst_addr + 61 * dst_stride_z) = out7.s5; - *(__global float *)(dst_addr + 62 * dst_stride_z) = out7.s6; - *(__global float *)(dst_addr + 63 * dst_stride_z) = out7.s7; -} - -/** This OpenCL kernel performs Winograd filter transform 5x5 when the data layout is NHWC and the output tile is 4x4 - * - * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_filter_transform_4x4_5x5_nhwc( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - Tensor4D src = CONVERT_TO_TENSOR4D_STRUCT(src, SRC_DIM_Z); - - const __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + get_global_id(0) * sizeof(float) + get_global_id(1) * src_step_y + get_global_id(2) * src_step_w; - - // Load the values from the input tensor - float w00 = *((__global float *)(src_addr + 0 * src_stride_z + 0 * src_stride_y)); - float w01 = *((__global float *)(src_addr + 0 * src_stride_z + 1 * src_stride_y)); - float w02 = *((__global float *)(src_addr + 0 * src_stride_z + 2 * src_stride_y)); - float w03 = *((__global float *)(src_addr + 0 * src_stride_z + 3 * src_stride_y)); - float w04 = *((__global float *)(src_addr + 0 * src_stride_z + 4 * src_stride_y)); - float w10 = *((__global float *)(src_addr + 1 * src_stride_z + 0 * src_stride_y)); - float w11 = *((__global float *)(src_addr + 1 * src_stride_z + 1 * src_stride_y)); - float w12 = *((__global float *)(src_addr + 1 * src_stride_z + 2 * src_stride_y)); - float w13 = *((__global float *)(src_addr + 1 * src_stride_z + 3 * src_stride_y)); - float w14 = *((__global float *)(src_addr + 1 * src_stride_z + 4 * src_stride_y)); - float w20 = *((__global float *)(src_addr + 2 * src_stride_z + 0 * src_stride_y)); - float w21 = *((__global float *)(src_addr + 2 * src_stride_z + 1 * src_stride_y)); - float w22 = *((__global float *)(src_addr + 2 * src_stride_z + 2 * src_stride_y)); - float w23 = *((__global float *)(src_addr + 2 * src_stride_z + 3 * src_stride_y)); - float w24 = *((__global float *)(src_addr + 2 * src_stride_z + 4 * src_stride_y)); - float w30 = *((__global float *)(src_addr + 3 * src_stride_z + 0 * src_stride_y)); - float w31 = *((__global float *)(src_addr + 3 * src_stride_z + 1 * src_stride_y)); - float w32 = *((__global float *)(src_addr + 3 * src_stride_z + 2 * src_stride_y)); - float w33 = *((__global float *)(src_addr + 3 * src_stride_z + 3 * src_stride_y)); - float w34 = *((__global float *)(src_addr + 3 * src_stride_z + 4 * src_stride_y)); - float w40 = *((__global float *)(src_addr + 4 * src_stride_z + 0 * src_stride_y)); - float w41 = *((__global float *)(src_addr + 4 * src_stride_z + 1 * src_stride_y)); - float w42 = *((__global float *)(src_addr + 4 * src_stride_z + 2 * src_stride_y)); - float w43 = *((__global float *)(src_addr + 4 * src_stride_z + 3 * src_stride_y)); - float w44 = *((__global float *)(src_addr + 4 * src_stride_z + 4 * src_stride_y)); - - // Transform the 3x3 tile in a 8x8 tile - float8 out0 = 0.0f; - float8 out1 = 0.0f; - float8 out2 = 0.0f; - float8 out3 = 0.0f; - float8 out4 = 0.0f; - float8 out5 = 0.0f; - float8 out6 = 0.0f; - float8 out7 = 0.0f; - - // Row 0 - out0.s0 = w00; - out0.s1 = -2.f * (w00 + w01 + w02 + w03 + w04) / 9.f; - out0.s2 = -2.f * (w00 - w01 + w02 - w03 + w04) / 9.f; - out0.s3 = (w00 + 2.f * w01 + 4.f * w02 + 8.f * w03 + 16.f * w04) / 90.f; - out0.s4 = (w00 - 2.f * w01 + 4.f * w02 - 8.f * w03 + 16.f * w04) / 90.f; - out0.s5 = (16.f * w00 + 8.f * w01 + 4.f * w02 + 2.f * w03 + w04) / 180.f; - out0.s6 = (16.f * w00 - 8.f * w01 + 4.f * w02 - 2.f * w03 + w04) / 180.f; - out0.s7 = w04; - - // Row 1 - out1.s0 = -2.f * (w00 + w10 + w20 + w30 + w40) / 9.f; - out1.s1 = 4.f * ((w00 + w10 + w20 + w30 + w40) + (w01 + w11 + w21 + w31 + w41) + (w02 + w12 + w22 + w32 + w42) + (w03 + w13 + w23 + w33 + w43) + (w04 + w14 + w24 + w34 + w44)) / 81.f; - out1.s2 = 4.f * ((w00 + w10 + w20 + w30 + w40) - (w01 + w11 + w21 + w31 + w41) + (w02 + w12 + w22 + w32 + w42) - (w03 + w13 + w23 + w33 + w43) + (w04 + w14 + w24 + w34 + w44)) / 81.f; - out1.s3 = -((w00 + w10 + w20 + w30 + w40) + 2.f * (w01 + w11 + w21 + w31 + w41) + 4.f * (w02 + w12 + w22 + w32 + w42) + 8.f * (w03 + w13 + w23 + w33 + w43) + 16.f * - (w04 + w14 + w24 + w34 + w44)) / 405.f; - out1.s4 = -((w00 + w10 + w20 + w30 + w40) - 2.f * (w01 + w11 + w21 + w31 + w41) + 4.f * (w02 + w12 + w22 + w32 + w42) - 8.f * (w03 + w13 + w23 + w33 + w43) + 16.f * - (w04 + w14 + w24 + w34 + w44)) / 405.f; - out1.s5 = -(16.f * (w00 + w10 + w20 + w30 + w40) + 8.f * (w01 + w11 + w21 + w31 + w41) + 4.f * (w02 + w12 + w22 + w32 + w42) + 2.f * (w03 + w13 + w23 + w33 + w43) + - (w04 + w14 + w24 + w34 + w44)) / 810.f; - out1.s6 = -(16.f * (w00 + w10 + w20 + w30 + w40) - 8.f * (w01 + w11 + w21 + w31 + w41) + 4.f * (w02 + w12 + w22 + w32 + w42) - 2.f * (w03 + w13 + w23 + w33 + w43) + - (w04 + w14 + w24 + w34 + w44)) / 810.f; - out1.s7 = -2.f * (w04 + w14 + w24 + w34 + w44) / 9.f; - - // Row 2 - out2.s0 = -2.f * (w00 - w10 + w20 - w30 + w40) / 9.f; - out2.s1 = 4.f * ((w00 - w10 + w20 - w30 + w40) + (w01 - w11 + w21 - w31 + w41) + (w02 - w12 + w22 - w32 + w42) + (w03 - w13 + w23 - w33 + w43) + (w04 - w14 + w24 - w34 + w44)) / 81.f; - out2.s2 = 4.f * ((w00 - w10 + w20 - w30 + w40) - (w01 - w11 + w21 - w31 + w41) + (w02 - w12 + w22 - w32 + w42) - (w03 - w13 + w23 - w33 + w43) + (w04 - w14 + w24 - w34 + w44)) / 81.f; - out2.s3 = -((w00 - w10 + w20 - w30 + w40) + 2.f * (w01 - w11 + w21 - w31 + w41) + 4.f * (w02 - w12 + w22 - w32 + w42) + 8.f * (w03 - w13 + w23 - w33 + w43) + 16.f * - (w04 - w14 + w24 - w34 + w44)) / 405.f; - out2.s4 = -((w00 - w10 + w20 - w30 + w40) - 2.f * (w01 - w11 + w21 - w31 + w41) + 4.f * (w02 - w12 + w22 - w32 + w42) - 8.f * (w03 - w13 + w23 - w33 + w43) + 16.f * - (w04 - w14 + w24 - w34 + w44)) / 405.f; - out2.s5 = -(16.f * (w00 - w10 + w20 - w30 + w40) + 8.f * (w01 - w11 + w21 - w31 + w41) + 4.f * (w02 - w12 + w22 - w32 + w42) + 2.f * (w03 - w13 + w23 - w33 + w43) + - (w04 - w14 + w24 - w34 + w44)) / 810.f; - out2.s6 = -(16.f * (w00 - w10 + w20 - w30 + w40) - 8.f * (w01 - w11 + w21 - w31 + w41) + 4.f * (w02 - w12 + w22 - w32 + w42) - 2.f * (w03 - w13 + w23 - w33 + w43) + - (w04 - w14 + w24 - w34 + w44)) / 810.f; - out2.s7 = -2.f * (w04 - w14 + w24 - w34 + w44) / 9.f; - - // Row 3 - out3.s0 = (w00 + 2.f * w10 + 4.f * w20 + 8.f * w30 + 16.f * w40) / 90.f; - out3.s1 = -((w00 + 2.f * w10 + 4.f * w20 + 8.f * w30 + 16.f * w40) + (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41) + (w02 + 2.f * w12 + 4.f * w22 + 8.f * w32 + 16.f * w42) + - (w03 + 2.f * w13 + 4.f * w23 + 8.f * w33 + 16.f * w43) + (w04 + 2.f * w14 + 4.f * w24 + 8.f * w34 + 16.f * w44)) / 405.f; - out3.s2 = -((w00 + 2.f * w10 + 4.f * w20 + 8.f * w30 + 16.f * w40) - (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41) + (w02 + 2.f * w12 + 4.f * w22 + 8.f * w32 + 16.f * w42) - - (w03 + 2.f * w13 + 4.f * w23 + 8.f * w33 + 16.f * w43) + (w04 + 2.f * w14 + 4.f * w24 + 8.f * w34 + 16.f * w44)) / 405.f; - out3.s3 = ((w00 + 2.f * w10 + 4.f * w20 + 8.f * w30 + 16.f * w40) + 2.f * (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41) + 4.f * (w02 + 2.f * w12 + 4.f * w22 + 8.f * w32 + 16.f * w42) + 8.f - * (w03 + 2.f * w13 + 4.f * w23 + 8.f * w33 + 16.f * w43) + 16.f * (w04 + 2.f * w14 + 4.f * w24 + 8.f * w34 + 16.f * w44)) / 8100.f; - out3.s4 = ((w00 + 2.f * w10 + 4.f * w20 + 8.f * w30 + 16.f * w40) - 2.f * (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41) + 4.f * (w02 + 2.f * w12 + 4.f * w22 + 8.f * w32 + 16.f * w42) - 8.f - * (w03 + 2.f * w13 + 4.f * w23 + 8.f * w33 + 16.f * w43) + 16.f * (w04 + 2.f * w14 + 4.f * w24 + 8.f * w34 + 16.f * w44)) / 8100.f; - out3.s5 = (16.f * (w00 + 2.f * w10 + 4.f * w20 + 8.f * w30 + 16.f * w40) + 8.f * (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41) + 4.f * - (w02 + 2.f * w12 + 4.f * w22 + 8.f * w32 + 16.f * w42) + 2.f * (w03 + 2.f * w13 + 4.f * w23 + 8.f * w33 + 16.f * w43) + (w04 + 2.f * w14 + 4.f * w24 + 8.f * w34 + 16.f * w44)) / 16200.f; - out3.s6 = (16.f * (w00 + 2.f * w10 + 4.f * w20 + 8.f * w30 + 16.f * w40) - 8.f * (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41) + 4.f * - (w02 + 2.f * w12 + 4.f * w22 + 8.f * w32 + 16.f * w42) - 2.f * (w03 + 2.f * w13 + 4.f * w23 + 8.f * w33 + 16.f * w43) + (w04 + 2.f * w14 + 4.f * w24 + 8.f * w34 + 16.f * w44)) / 16200.f; - out3.s7 = (w04 + 2.f * w14 + 4.f * w24 + 8.f * w34 + 16.f * w44) / 90.f; - - // Row 4 - out4.s0 = (w00 - 2.f * w10 + 4.f * w20 - 8.f * w30 + 16.f * w40) / 90.f; - out4.s1 = -((w00 - 2.f * w10 + 4.f * w20 - 8.f * w30 + 16.f * w40) + (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41) + (w02 - 2.f * w12 + 4.f * w22 - 8.f * w32 + 16.f * w42) + - (w03 - 2.f * w13 + 4.f * w23 - 8.f * w33 + 16.f * w43) + (w04 - 2.f * w14 + 4.f * w24 - 8.f * w34 + 16.f * w44)) / 405.f; - out4.s2 = -((w00 - 2.f * w10 + 4.f * w20 - 8.f * w30 + 16.f * w40) - (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41) + (w02 - 2.f * w12 + 4.f * w22 - 8.f * w32 + 16.f * w42) - - (w03 - 2.f * w13 + 4.f * w23 - 8.f * w33 + 16.f * w43) + (w04 - 2.f * w14 + 4.f * w24 - 8.f * w34 + 16.f * w44)) / 405.f; - out4.s3 = ((w00 - 2.f * w10 + 4.f * w20 - 8.f * w30 + 16.f * w40) + 2.f * (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41) + 4.f * (w02 - 2.f * w12 + 4.f * w22 - 8.f * w32 + 16.f * w42) + 8.f - * (w03 - 2.f * w13 + 4.f * w23 - 8.f * w33 + 16.f * w43) + 16.f * (w04 - 2.f * w14 + 4.f * w24 - 8.f * w34 + 16.f * w44)) / 8100.f; - out4.s4 = ((w00 - 2.f * w10 + 4.f * w20 - 8.f * w30 + 16.f * w40) - 2.f * (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41) + 4.f * (w02 - 2.f * w12 + 4.f * w22 - 8.f * w32 + 16.f * w42) - 8.f - * (w03 - 2.f * w13 + 4.f * w23 - 8.f * w33 + 16.f * w43) + 16.f * (w04 - 2.f * w14 + 4.f * w24 - 8.f * w34 + 16.f * w44)) / 8100.f; - out4.s5 = (16.f * (w00 - 2.f * w10 + 4.f * w20 - 8.f * w30 + 16.f * w40) + 8.f * (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41) + 4.f * - (w02 - 2.f * w12 + 4.f * w22 - 8.f * w32 + 16.f * w42) + 2.f * (w03 - 2.f * w13 + 4.f * w23 - 8.f * w33 + 16.f * w43) + (w04 - 2.f * w14 + 4.f * w24 - 8.f * w34 + 16.f * w44)) / 16200.f; - out4.s6 = (16.f * (w00 - 2.f * w10 + 4.f * w20 - 8.f * w30 + 16.f * w40) - 8.f * (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41) + 4.f * - (w02 - 2.f * w12 + 4.f * w22 - 8.f * w32 + 16.f * w42) - 2.f * (w03 - 2.f * w13 + 4.f * w23 - 8.f * w33 + 16.f * w43) + (w04 - 2.f * w14 + 4.f * w24 - 8.f * w34 + 16.f * w44)) / 16200.f; - out4.s7 = (w04 - 2.f * w14 + 4.f * w24 - 8.f * w34 + 16.f * w44) / 90.f; - - // Row 5 - out5.s0 = (16.f * w00 + 8.f * w10 + 4.f * w20 + 2.f * w30 + w40) / 180.f; - out5.s1 = -((16.f * w00 + 8.f * w10 + 4.f * w20 + 2.f * w30 + w40) + (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41) + (16.f * w02 + 8.f * w12 + 4.f * w22 + 2.f * w32 + w42) + - (16.f * w03 + 8.f * w13 + 4.f * w23 + 2.f * w33 + w43) + (16.f * w04 + 8.f * w14 + 4.f * w24 + 2.f * w34 + w44)) / 810.f; - out5.s2 = -((16.f * w00 + 8.f * w10 + 4.f * w20 + 2.f * w30 + w40) - (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41) + (16.f * w02 + 8.f * w12 + 4.f * w22 + 2.f * w32 + w42) - - (16.f * w03 + 8.f * w13 + 4.f * w23 + 2.f * w33 + w43) + (16.f * w04 + 8.f * w14 + 4.f * w24 + 2.f * w34 + w44)) / 810.f; - out5.s3 = ((16.f * w00 + 8.f * w10 + 4.f * w20 + 2.f * w30 + w40) + 2.f * (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41) + 4.f * (16.f * w02 + 8.f * w12 + 4.f * w22 + 2.f * w32 + w42) + 8.f - * (16.f * w03 + 8.f * w13 + 4.f * w23 + 2.f * w33 + w43) + 16.f * (16.f * w04 + 8.f * w14 + 4.f * w24 + 2.f * w34 + w44)) / 16200.f; - out5.s4 = ((16.f * w00 + 8.f * w10 + 4.f * w20 + 2.f * w30 + w40) - 2.f * (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41) + 4.f * (16.f * w02 + 8.f * w12 + 4.f * w22 + 2.f * w32 + w42) - 8.f - * (16.f * w03 + 8.f * w13 + 4.f * w23 + 2.f * w33 + w43) + 16.f * (16.f * w04 + 8.f * w14 + 4.f * w24 + 2.f * w34 + w44)) / 16200.f; - out5.s5 = (16.f * (16.f * w00 + 8.f * w10 + 4.f * w20 + 2.f * w30 + w40) + 8.f * (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41) + 4.f * - (16.f * w02 + 8.f * w12 + 4.f * w22 + 2.f * w32 + w42) + 2.f * (16.f * w03 + 8.f * w13 + 4.f * w23 + 2.f * w33 + w43) + (16.f * w04 + 8.f * w14 + 4.f * w24 + 2.f * w34 + w44)) / 32400.f; - out5.s6 = (16.f * (16.f * w00 + 8.f * w10 + 4.f * w20 + 2.f * w30 + w40) - 8.f * (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41) + 4.f * - (16.f * w02 + 8.f * w12 + 4.f * w22 + 2.f * w32 + w42) - 2.f * (16.f * w03 + 8.f * w13 + 4.f * w23 + 2.f * w33 + w43) + (16.f * w04 + 8.f * w14 + 4.f * w24 + 2.f * w34 + w44)) / 32400.f; - out5.s7 = (16.f * w04 + 8.f * w14 + 4.f * w24 + 2.f * w34 + w44) / 180.f; - - // Row 6 - out6.s0 = (16.f * w00 - 8.f * w10 + 4.f * w20 - 2.f * w30 + w40) / 180.f; - out6.s1 = -((16.f * w00 - 8.f * w10 + 4.f * w20 - 2.f * w30 + w40) + (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41) + (16.f * w02 - 8.f * w12 + 4.f * w22 - 2.f * w32 + w42) + - (16.f * w03 - 8.f * w13 + 4.f * w23 - 2.f * w33 + w43) + (16.f * w04 - 8.f * w14 + 4.f * w24 - 2.f * w34 + w44)) / 810.f; - out6.s2 = -((16.f * w00 - 8.f * w10 + 4.f * w20 - 2.f * w30 + w40) - (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41) + (16.f * w02 - 8.f * w12 + 4.f * w22 - 2.f * w32 + w42) - - (16.f * w03 - 8.f * w13 + 4.f * w23 - 2.f * w33 + w43) + (16.f * w04 - 8.f * w14 + 4.f * w24 - 2.f * w34 + w44)) / 810.f; - out6.s3 = ((16.f * w00 - 8.f * w10 + 4.f * w20 - 2.f * w30 + w40) + 2.f * (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41) + 4.f * (16.f * w02 - 8.f * w12 + 4.f * w22 - 2.f * w32 + w42) + 8.f - * (16.f * w03 - 8.f * w13 + 4.f * w23 - 2.f * w33 + w43) + 16.f * (16.f * w04 - 8.f * w14 + 4.f * w24 - 2.f * w34 + w44)) / 16200.f; - out6.s4 = ((16.f * w00 - 8.f * w10 + 4.f * w20 - 2.f * w30 + w40) - 2.f * (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41) + 4.f * (16.f * w02 - 8.f * w12 + 4.f * w22 - 2.f * w32 + w42) - 8.f - * (16.f * w03 - 8.f * w13 + 4.f * w23 - 2.f * w33 + w43) + 16.f * (16.f * w04 - 8.f * w14 + 4.f * w24 - 2.f * w34 + w44)) / 16200.f; - out6.s5 = (16.f * (16.f * w00 - 8.f * w10 + 4.f * w20 - 2.f * w30 + w40) + 8.f * (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41) + 4.f * - (16.f * w02 - 8.f * w12 + 4.f * w22 - 2.f * w32 + w42) + 2.f * (16.f * w03 - 8.f * w13 + 4.f * w23 - 2.f * w33 + w43) + (16.f * w04 - 8.f * w14 + 4.f * w24 - 2.f * w34 + w44)) / 32400.f; - out6.s6 = (16.f * (16.f * w00 - 8.f * w10 + 4.f * w20 - 2.f * w30 + w40) - 8.f * (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41) + 4.f * - (16.f * w02 - 8.f * w12 + 4.f * w22 - 2.f * w32 + w42) - 2.f * (16.f * w03 - 8.f * w13 + 4.f * w23 - 2.f * w33 + w43) + (16.f * w04 - 8.f * w14 + 4.f * w24 - 2.f * w34 + w44)) / 32400.f; - out6.s7 = (16.f * w04 - 8.f * w14 + 4.f * w24 - 2.f * w34 + w44) / 180.f; - - // Row 7 - out7.s0 = w40; - out7.s1 = -2.f * (w40 + w41 + w42 + w43 + w44) / 9.f; - out7.s2 = -2.f * (w40 - w41 + w42 - w43 + w44) / 9.f; - out7.s3 = (w40 + 2.f * w41 + 4.f * w42 + 8.f * w43 + 16.f * w44) / 90.f; - out7.s4 = (w40 - 2.f * w41 + 4.f * w42 - 8.f * w43 + 16.f * w44) / 90.f; - out7.s5 = (16.f * w40 + 8.f * w41 + 4.f * w42 + 2.f * w43 + w44) / 180.f; - out7.s6 = (16.f * w40 - 8.f * w41 + 4.f * w42 - 2.f * w43 + w44) / 180.f; - out7.s7 = w44; - - int x0 = get_global_id(2); // idx filter - int y0 = get_global_id(0); // idx channel - - // Get output address - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x0 * sizeof(float) + y0 * dst_stride_y; - - // Store the 64 values across the 64 channels - *(__global float *)(dst_addr + 0 * dst_stride_z) = out0.s0; - *(__global float *)(dst_addr + 1 * dst_stride_z) = out0.s1; - *(__global float *)(dst_addr + 2 * dst_stride_z) = out0.s2; - *(__global float *)(dst_addr + 3 * dst_stride_z) = out0.s3; - *(__global float *)(dst_addr + 4 * dst_stride_z) = out0.s4; - *(__global float *)(dst_addr + 5 * dst_stride_z) = out0.s5; - *(__global float *)(dst_addr + 6 * dst_stride_z) = out0.s6; - *(__global float *)(dst_addr + 7 * dst_stride_z) = out0.s7; - *(__global float *)(dst_addr + 8 * dst_stride_z) = out1.s0; - *(__global float *)(dst_addr + 9 * dst_stride_z) = out1.s1; - *(__global float *)(dst_addr + 10 * dst_stride_z) = out1.s2; - *(__global float *)(dst_addr + 11 * dst_stride_z) = out1.s3; - *(__global float *)(dst_addr + 12 * dst_stride_z) = out1.s4; - *(__global float *)(dst_addr + 13 * dst_stride_z) = out1.s5; - *(__global float *)(dst_addr + 14 * dst_stride_z) = out1.s6; - *(__global float *)(dst_addr + 15 * dst_stride_z) = out1.s7; - *(__global float *)(dst_addr + 16 * dst_stride_z) = out2.s0; - *(__global float *)(dst_addr + 17 * dst_stride_z) = out2.s1; - *(__global float *)(dst_addr + 18 * dst_stride_z) = out2.s2; - *(__global float *)(dst_addr + 19 * dst_stride_z) = out2.s3; - *(__global float *)(dst_addr + 20 * dst_stride_z) = out2.s4; - *(__global float *)(dst_addr + 21 * dst_stride_z) = out2.s5; - *(__global float *)(dst_addr + 22 * dst_stride_z) = out2.s6; - *(__global float *)(dst_addr + 23 * dst_stride_z) = out2.s7; - *(__global float *)(dst_addr + 24 * dst_stride_z) = out3.s0; - *(__global float *)(dst_addr + 25 * dst_stride_z) = out3.s1; - *(__global float *)(dst_addr + 26 * dst_stride_z) = out3.s2; - *(__global float *)(dst_addr + 27 * dst_stride_z) = out3.s3; - *(__global float *)(dst_addr + 28 * dst_stride_z) = out3.s4; - *(__global float *)(dst_addr + 29 * dst_stride_z) = out3.s5; - *(__global float *)(dst_addr + 30 * dst_stride_z) = out3.s6; - *(__global float *)(dst_addr + 31 * dst_stride_z) = out3.s7; - *(__global float *)(dst_addr + 32 * dst_stride_z) = out4.s0; - *(__global float *)(dst_addr + 33 * dst_stride_z) = out4.s1; - *(__global float *)(dst_addr + 34 * dst_stride_z) = out4.s2; - *(__global float *)(dst_addr + 35 * dst_stride_z) = out4.s3; - *(__global float *)(dst_addr + 36 * dst_stride_z) = out4.s4; - *(__global float *)(dst_addr + 37 * dst_stride_z) = out4.s5; - *(__global float *)(dst_addr + 38 * dst_stride_z) = out4.s6; - *(__global float *)(dst_addr + 39 * dst_stride_z) = out4.s7; - *(__global float *)(dst_addr + 40 * dst_stride_z) = out5.s0; - *(__global float *)(dst_addr + 41 * dst_stride_z) = out5.s1; - *(__global float *)(dst_addr + 42 * dst_stride_z) = out5.s2; - *(__global float *)(dst_addr + 43 * dst_stride_z) = out5.s3; - *(__global float *)(dst_addr + 44 * dst_stride_z) = out5.s4; - *(__global float *)(dst_addr + 45 * dst_stride_z) = out5.s5; - *(__global float *)(dst_addr + 46 * dst_stride_z) = out5.s6; - *(__global float *)(dst_addr + 47 * dst_stride_z) = out5.s7; - *(__global float *)(dst_addr + 48 * dst_stride_z) = out6.s0; - *(__global float *)(dst_addr + 49 * dst_stride_z) = out6.s1; - *(__global float *)(dst_addr + 50 * dst_stride_z) = out6.s2; - *(__global float *)(dst_addr + 51 * dst_stride_z) = out6.s3; - *(__global float *)(dst_addr + 52 * dst_stride_z) = out6.s4; - *(__global float *)(dst_addr + 53 * dst_stride_z) = out6.s5; - *(__global float *)(dst_addr + 54 * dst_stride_z) = out6.s6; - *(__global float *)(dst_addr + 55 * dst_stride_z) = out6.s7; - *(__global float *)(dst_addr + 56 * dst_stride_z) = out7.s0; - *(__global float *)(dst_addr + 57 * dst_stride_z) = out7.s1; - *(__global float *)(dst_addr + 58 * dst_stride_z) = out7.s2; - *(__global float *)(dst_addr + 59 * dst_stride_z) = out7.s3; - *(__global float *)(dst_addr + 60 * dst_stride_z) = out7.s4; - *(__global float *)(dst_addr + 61 * dst_stride_z) = out7.s5; - *(__global float *)(dst_addr + 62 * dst_stride_z) = out7.s6; - *(__global float *)(dst_addr + 63 * dst_stride_z) = out7.s7; -} -#endif // defined(SRC_DIM_Z) - -#if defined(NUM_TILES_X) && defined(PAD_LEFT) && defined(PAD_TOP) && defined(OUTPUT_TILE_W) && defined(OUTPUT_TILE_H) -/** This OpenCL kernel computes the input transform when the kernel size is 3x3/3x1 or 1x3 and the output tile is 2x2/2x1 or 1x2 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 - * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_input_transform_2x2_3x3_stepz1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - int x = get_global_id(0); - int y = get_global_id(1); - int z = get_global_id(2); - - // Compute input address - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * sizeof(float) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z; - - src_addr = src_addr - ((int)PAD_LEFT * sizeof(float)) - ((int)PAD_TOP * src_stride_y); - -#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - float4 in_row0 = vload4(0, (__global float *)(src_addr)); -#elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - float4 in_row0 = (float4)(*((__global float *)(src_addr + 0 * src_stride_y)), - *((__global float *)(src_addr + 1 * src_stride_y)), - *((__global float *)(src_addr + 2 * src_stride_y)), - *((__global float *)(src_addr + 3 * src_stride_y))); -#else // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - float4 in_row0 = vload4(0, (__global float *)(src_addr + 0 * src_stride_y)); - float4 in_row1 = vload4(0, (__global float *)(src_addr + 1 * src_stride_y)); - float4 in_row2 = vload4(0, (__global float *)(src_addr + 2 * src_stride_y)); - float4 in_row3 = vload4(0, (__global float *)(src_addr + 3 * src_stride_y)); -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - float4 tmp0 = in_row0; - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - tmp0 -= in_row2; -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - float out00 = tmp0.s0 - tmp0.s2; - float out01 = tmp0.s1 + tmp0.s2; - float out02 = tmp0.s2 - tmp0.s1; - float out03 = tmp0.s1 - tmp0.s3; - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - float4 tmp1 = in_row1 + in_row2; - float4 tmp2 = in_row2 - in_row1; - float4 tmp3 = in_row1 - in_row3; - - float out10 = tmp1.s0 - tmp1.s2; - float out11 = tmp1.s1 + tmp1.s2; - float out12 = tmp1.s2 - tmp1.s1; - float out13 = tmp1.s1 - tmp1.s3; - - float out20 = tmp2.s0 - tmp2.s2; - float out21 = tmp2.s1 + tmp2.s2; - float out22 = tmp2.s2 - tmp2.s1; - float out23 = tmp2.s1 - tmp2.s3; - - float out30 = tmp3.s0 - tmp3.s2; - float out31 = tmp3.s1 + tmp3.s2; - float out32 = tmp3.s2 - tmp3.s1; - float out33 = tmp3.s1 - tmp3.s3; -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * sizeof(float) + (x + y * (int)NUM_TILES_X) * dst_stride_y; - - *((__global float *)(dst_addr + 0 * dst_stride_z)) = out00; // in_row0.s0; out00; - *((__global float *)(dst_addr + 1 * dst_stride_z)) = out01; // in_row0.s1; out01; - *((__global float *)(dst_addr + 2 * dst_stride_z)) = out02; // in_row0.s2; out02; - *((__global float *)(dst_addr + 3 * dst_stride_z)) = out03; // in_row0.s3; out03; - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - *((__global float *)(dst_addr + 4 * dst_stride_z)) = out10; - *((__global float *)(dst_addr + 5 * dst_stride_z)) = out11; - *((__global float *)(dst_addr + 6 * dst_stride_z)) = out12; - *((__global float *)(dst_addr + 7 * dst_stride_z)) = out13; - *((__global float *)(dst_addr + 8 * dst_stride_z)) = out20; - *((__global float *)(dst_addr + 9 * dst_stride_z)) = out21; - *((__global float *)(dst_addr + 10 * dst_stride_z)) = out22; - *((__global float *)(dst_addr + 11 * dst_stride_z)) = out23; - *((__global float *)(dst_addr + 12 * dst_stride_z)) = out30; - *((__global float *)(dst_addr + 13 * dst_stride_z)) = out31; - *((__global float *)(dst_addr + 14 * dst_stride_z)) = out32; - *((__global float *)(dst_addr + 15 * dst_stride_z)) = out33; -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) -} - -/** This OpenCL kernel computes the input transform when the kernel size is 3x3/3x1 or 1x3, the output tile is 2x2/2x1 or 1x2 and the number of channels is multiple of 2 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 - * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_input_transform_2x2_3x3_stepz2_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - int x = get_global_id(0); - int y = get_global_id(1); - int z = get_global_id(2) * 2; - - // Compute input address - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * sizeof(float) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z; - - src_addr = src_addr - ((int)PAD_LEFT * sizeof(float)) - ((int)PAD_TOP * src_stride_y); - -#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - float4 in_row0 = vload4(0, (__global float *)(src_addr)); -#elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - float4 in_row0 = (float4)(*((__global float *)(src_addr + 0 * src_stride_y)), - *((__global float *)(src_addr + 1 * src_stride_y)), - *((__global float *)(src_addr + 2 * src_stride_y)), - *((__global float *)(src_addr + 3 * src_stride_y))); -#else // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - float4 in_row0 = vload4(0, (__global float *)(src_addr + 0 * src_stride_y)); - float4 in_row1 = vload4(0, (__global float *)(src_addr + 1 * src_stride_y)); - float4 in_row2 = vload4(0, (__global float *)(src_addr + 2 * src_stride_y)); - float4 in_row3 = vload4(0, (__global float *)(src_addr + 3 * src_stride_y)); -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - src_addr += src_stride_z; -#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - float4 in_row4 = vload4(0, (__global float *)(src_addr)); -#elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - float4 in_row4 = (float4)(*((__global float *)(src_addr + 0 * src_stride_y)), - *((__global float *)(src_addr + 1 * src_stride_y)), - *((__global float *)(src_addr + 2 * src_stride_y)), - *((__global float *)(src_addr + 3 * src_stride_y))); -#else // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - float4 in_row4 = vload4(0, (__global float *)(src_addr + 0 * src_stride_y)); - float4 in_row5 = vload4(0, (__global float *)(src_addr + 1 * src_stride_y)); - float4 in_row6 = vload4(0, (__global float *)(src_addr + 2 * src_stride_y)); - float4 in_row7 = vload4(0, (__global float *)(src_addr + 3 * src_stride_y)); -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - float4 tmp0 = in_row0; - float4 tmp4 = in_row4; - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - tmp0 -= in_row2; - tmp4 -= in_row6; -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - float2 out00 = (float2)(tmp0.s0 - tmp0.s2, tmp4.s0 - tmp4.s2); - float2 out01 = (float2)(tmp0.s1 + tmp0.s2, tmp4.s1 + tmp4.s2); - float2 out02 = (float2)(tmp0.s2 - tmp0.s1, tmp4.s2 - tmp4.s1); - float2 out03 = (float2)(tmp0.s1 - tmp0.s3, tmp4.s1 - tmp4.s3); - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - float4 tmp1 = in_row1 + in_row2; - float4 tmp2 = in_row2 - in_row1; - float4 tmp3 = in_row1 - in_row3; - - float4 tmp5 = in_row5 + in_row6; - float4 tmp6 = in_row6 - in_row5; - float4 tmp7 = in_row5 - in_row7; - - float2 out10 = (float2)(tmp1.s0 - tmp1.s2, tmp5.s0 - tmp5.s2); - float2 out11 = (float2)(tmp1.s1 + tmp1.s2, tmp5.s1 + tmp5.s2); - float2 out12 = (float2)(tmp1.s2 - tmp1.s1, tmp5.s2 - tmp5.s1); - float2 out13 = (float2)(tmp1.s1 - tmp1.s3, tmp5.s1 - tmp5.s3); - - float2 out20 = (float2)(tmp2.s0 - tmp2.s2, tmp6.s0 - tmp6.s2); - float2 out21 = (float2)(tmp2.s1 + tmp2.s2, tmp6.s1 + tmp6.s2); - float2 out22 = (float2)(tmp2.s2 - tmp2.s1, tmp6.s2 - tmp6.s1); - float2 out23 = (float2)(tmp2.s1 - tmp2.s3, tmp6.s1 - tmp6.s3); - - float2 out30 = (float2)(tmp3.s0 - tmp3.s2, tmp7.s0 - tmp7.s2); - float2 out31 = (float2)(tmp3.s1 + tmp3.s2, tmp7.s1 + tmp7.s2); - float2 out32 = (float2)(tmp3.s2 - tmp3.s1, tmp7.s2 - tmp7.s1); - float2 out33 = (float2)(tmp3.s1 - tmp3.s3, tmp7.s1 - tmp7.s3); -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * sizeof(float) + (x + y * (int)NUM_TILES_X) * dst_stride_y; - - vstore2(out00, 0, (__global float *)(dst_addr + 0 * dst_stride_z)); - vstore2(out01, 0, (__global float *)(dst_addr + 1 * dst_stride_z)); - vstore2(out02, 0, (__global float *)(dst_addr + 2 * dst_stride_z)); - vstore2(out03, 0, (__global float *)(dst_addr + 3 * dst_stride_z)); - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - vstore2(out10, 0, (__global float *)(dst_addr + 4 * dst_stride_z)); - vstore2(out11, 0, (__global float *)(dst_addr + 5 * dst_stride_z)); - vstore2(out12, 0, (__global float *)(dst_addr + 6 * dst_stride_z)); - vstore2(out13, 0, (__global float *)(dst_addr + 7 * dst_stride_z)); - vstore2(out20, 0, (__global float *)(dst_addr + 8 * dst_stride_z)); - vstore2(out21, 0, (__global float *)(dst_addr + 9 * dst_stride_z)); - vstore2(out22, 0, (__global float *)(dst_addr + 10 * dst_stride_z)); - vstore2(out23, 0, (__global float *)(dst_addr + 11 * dst_stride_z)); - vstore2(out30, 0, (__global float *)(dst_addr + 12 * dst_stride_z)); - vstore2(out31, 0, (__global float *)(dst_addr + 13 * dst_stride_z)); - vstore2(out32, 0, (__global float *)(dst_addr + 14 * dst_stride_z)); - vstore2(out33, 0, (__global float *)(dst_addr + 15 * dst_stride_z)); -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) -} - -/** This OpenCL kernel computes the input transform when the output tile is 4x4, the filter size 3x3 and the data layout is NCHW - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 - * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_input_transform_4x4_3x3_stepz1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - int x = get_global_id(0); - int y = get_global_id(1); - int z = get_global_id(2); - - // Compute input address - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * sizeof(float) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z; - - src_addr = src_addr - ((int)PAD_LEFT * sizeof(float)) - ((int)PAD_TOP * src_stride_y); - -#if defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - // Row0 - float4 d00 = (float4)(*((__global float *)(src_addr + 0 * src_stride_y)), - *((__global float *)(src_addr + 1 * src_stride_y)), - *((__global float *)(src_addr + 2 * src_stride_y)), - *((__global float *)(src_addr + 3 * src_stride_y))); - float2 d01 = (float2)(*((__global float *)(src_addr + 4 * src_stride_y)), - *((__global float *)(src_addr + 5 * src_stride_y))); -#else // defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - // Row0 - float4 d00 = vload4(0, (__global float *)(src_addr + 0 * src_stride_y)); - float2 d01 = vload2(2, (__global float *)(src_addr + 0 * src_stride_y)); -#endif // defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - float out0 = 0.0f; - float out1 = 0.0f; - float out2 = 0.0f; - float out3 = 0.0f; - float out4 = 0.0f; - float out5 = 0.0f; - - // Channels [0, 5]: [out00, out01, out02, out03, out04, out05] - out0 += 16.0f * d00.s0 - 20.0f * d00.s2 + 4.0f * d01.s0; - out1 += -16.0f * d00.s1 - 16.0f * d00.s2 + 4.0f * d00.s3 + 4.0f * d01.s0; - out2 += 16.0f * d00.s1 - 16.0f * d00.s2 - 4.0f * d00.s3 + 4.0f * d01.s0; - out3 += -8.0f * d00.s1 - 4.0f * d00.s2 + 8.0f * d00.s3 + 4.0f * d01.s0; - out4 += 8.0f * d00.s1 - 4.0f * d00.s2 - 8.0f * d00.s3 + 4.0f * d01.s0; - out5 += 16.0f * d00.s1 - 20.0f * d00.s3 + 4.0f * d01.s1; - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - // Row4 - float4 d40 = vload4(0, (__global float *)(src_addr + 4 * src_stride_y)); - float2 d41 = vload2(2, (__global float *)(src_addr + 4 * src_stride_y)); - - // k0, k1, k2, k3, k4, k5 are common terms for row0, row1, row2, row3 and row4 - float k0 = d41.s0; - float k1 = d41.s0; - float k2 = d41.s0; - float k3 = d41.s0; - float k4 = d41.s0; - float k5 = 0.0f; - - k0 += 4.0f * d40.s0 - 5.0f * d40.s2; - k1 += -4.0f * d40.s1 - 4.0f * d40.s2 + d40.s3; - k2 += 4.0f * d40.s1 - 4.0f * d40.s2 - d40.s3; - k3 += -2.0f * d40.s1 + 2.0f * d40.s3 - d40.s2; - k4 += 2.0f * d40.s1 - 2.0f * d40.s3 - d40.s2; - k5 += 4.0f * d40.s1 - 5.0f * d40.s3 + d41.s1; - - out0 += k0; - out1 += k1; - out2 += k2; - out3 += k3; - out4 += k4; - out5 += k5; - - // Row2 - float4 d20 = vload4(0, (__global float *)(src_addr + 2 * src_stride_y)); - float2 d21 = vload2(2, (__global float *)(src_addr + 2 * src_stride_y)); - - out0 += -20.0f * d20.s0 + 25.0f * d20.s2 - 5.0f * d21.s0; - out1 += +20.0f * d20.s1 + 20.0f * d20.s2 - 5.0f * d20.s3 - 5.0f * d21.s0; - out2 += -20.0f * d20.s1 + 20.0f * d20.s2 + 5.0f * d20.s3 - 5.0f * d21.s0; - out3 += +10.0f * d20.s1 + 5.0f * d20.s2 - 10.0f * d20.s3 - 5.0f * d21.s0; - out4 += -10.0f * d20.s1 + 5.0f * d20.s2 + 10.0f * d20.s3 - 5.0f * d21.s0; - out5 += -20.0f * d20.s1 + 25.0f * d20.s3 - 5.0f * d21.s1; -#endif // #if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - // Compute destination address - __global float *dst_addr = (__global float *)(dst_ptr + dst_offset_first_element_in_bytes + z * sizeof(float) + (x + y * (int)NUM_TILES_X) * dst_stride_y); - - uint dst_plane_stride = dst_stride_z / sizeof(float); - - *(dst_addr) = out0; - dst_addr += dst_plane_stride; - *(dst_addr) = out1; - dst_addr += dst_plane_stride; - *(dst_addr) = out2; - dst_addr += dst_plane_stride; - *(dst_addr) = out3; - dst_addr += dst_plane_stride; - *(dst_addr) = out4; - dst_addr += dst_plane_stride; - *(dst_addr) = out5; - dst_addr += dst_plane_stride; - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - float out6 = k0; - float out7 = k1; - float out8 = k2; - float out9 = k3; - float out10 = k4; - float out11 = k5; - float out12 = k0; - float out13 = k1; - float out14 = k2; - float out15 = k3; - float out16 = k4; - float out17 = k5; - float out18 = k0; - float out19 = k1; - float out20 = k2; - float out21 = k3; - float out22 = k4; - float out23 = k5; - float out24 = k0; - float out25 = k1; - float out26 = k2; - float out27 = k3; - float out28 = k4; - float out29 = k5; - - // Row1 - float4 d10 = vload4(0, (__global float *)(src_addr + 1 * src_stride_y)); - float2 d11 = vload2(2, (__global float *)(src_addr + 1 * src_stride_y)); - - // Row3 - float4 d30 = vload4(0, (__global float *)(src_addr + 3 * src_stride_y)); - float2 d31 = vload2(2, (__global float *)(src_addr + 3 * src_stride_y)); - - // Compute common parts for the channels between [6, 29] - // Channels [6, 11]: [out10, out11, out12, out13, out14, out15] - // Channels [12, 17]: [out20, out21, out22, out23, out24, out25] - float part0 = -16.0f * d20.s0 + 20.0f * d20.s2 - 4.0f * d21.s0; - float part1 = 16.0f * d10.s0 - 20.0f * d10.s2 + 4.0f * d11.s0 - 4.0f * d30.s0 + 5.0f * d30.s2 - d31.s0; - float part2 = 16.0f * d20.s2 - 4.0f * d21.s0; - float part3 = 16.0f * d20.s1 - 4.0f * d20.s3; - float part4 = 16.0f * d10.s2 - 4.0f * d11.s0 - 4.0f * d30.s2 + d31.s0; - float part5 = 16.0f * d10.s1 - 4.0f * d10.s3 - 4.0f * d30.s1 + d30.s3; - float part6 = 4.0f * d20.s2 - 4.0f * d21.s0; - float part7 = 8.0f * d10.s1 - 8.0f * d10.s3 - 2.0f * d30.s1 + 2.0f * d30.s3; - float part8 = 4.0f * d10.s2 - 4.0f * d11.s0 - d30.s2 + d31.s0; - float part9 = 8.0f * d20.s1 - 8.0f * d20.s3; - float part10 = -16.0f * d20.s1 + 20.0f * d20.s3 - 4.0f * d21.s1; - float part11 = -16.0f * d10.s1 + 20.0f * d10.s3 - 4.0f * d11.s1 + 4.0f * d30.s1 - 5.0f * d30.s3 + d31.s1; - - // Channels [18, 23]: [out30, out31, out32, out33, out34, out35] - // Channels [24, 29]: [out40, out41, out42, out43, out44, out45] - float part12 = 8.0f * d10.s0 - 10.0f * d10.s2 + 2.0f * d11.s0 - 8.0f * d30.s0 + 10.0f * d30.s2 - 2.0f * d31.s0; - float part13 = part0 * 0.25f; // -4.0f * d20.s0 + 5.0f * d20.s2 - d21.s0 - float part14 = part2 * 0.25f; // 4.0f * d20.s2 - d21.s0 - float part15 = 8.0f * d10.s1 - 2.0f * d10.s3 - 8.0f * d30.s1 + 2.0f * d30.s3; - float part16 = 8.0f * d10.s2 - 2.0f * d11.s0 - 8.0f * d30.s2 + 2.0f * d31.s0; - float part17 = part3 * 0.25f; // 4.0f * d20.s1 - d20.s3 - float part18 = part6 * 0.25f; // d20.s2 - d21.s0 - float part19 = 4.0f * d10.s1 - 4.0f * d10.s3 - 4.0f * d30.s1 + 4.0f * d30.s3; - float part20 = 2.0f * d10.s2 - 2.0f * d11.s0 - 2.0f * d30.s2 + 2.0f * d31.s0; - float part21 = part9 * 0.25f; // 2.0f * (d20.s1 - d20.s3) - float part22 = part10 * 0.25f; // - 4.0f * d20.s1 + 5.0f * d20.s3 - d21.s1 - float part23 = part11 * 0.5f + 6.0f * d30.s1 - 7.5f * d30.s3 + 1.5f * d31.s1; // - 8.0f * d10.s1 + 10.0f * d10.s3 - 2.0f * d11.s1 + 8.0f * d30.s1 - 10.0f * d30.s3 + 2.0f * d31.s1; - - out6 += part0 - part1; - out12 += part0 + part1; - out7 += part2 + part3 + part4 + part5; - out8 += part2 - part3 + part4 - part5; - out13 += part2 + part3 - part4 - part5; - out14 += part2 - part3 - part4 + part5; - out9 += part6 + part7 + part8 + part9; - out10 += part6 - part7 + part8 - part9; - out15 += part6 - part7 - part8 + part9; - out16 += part6 + part7 - part8 - part9; - out11 += part10 + part11; - out17 += part10 - part11; - - out18 += part13 - part12; - out24 += part13 + part12; - out19 += part14 + part15 + part16 + part17; - out20 += part14 - part15 + part16 - part17; - out25 += part14 - part15 - part16 + part17; - out26 += part14 + part15 - part16 - part17; - out21 += part18 + part19 + part20 + part21; - out22 += part18 - part19 + part20 - part21; - out27 += part18 - part19 - part20 + part21; - out28 += part18 + part19 - part20 - part21; - out23 += part22 + part23; - out29 += part22 - part23; - - *(dst_addr) = out6; - dst_addr += dst_plane_stride; - *(dst_addr) = out7; - dst_addr += dst_plane_stride; - *(dst_addr) = out8; - dst_addr += dst_plane_stride; - *(dst_addr) = out9; - dst_addr += dst_plane_stride; - *(dst_addr) = out10; - dst_addr += dst_plane_stride; - *(dst_addr) = out11; - dst_addr += dst_plane_stride; - *(dst_addr) = out12; - dst_addr += dst_plane_stride; - *(dst_addr) = out13; - dst_addr += dst_plane_stride; - *(dst_addr) = out14; - dst_addr += dst_plane_stride; - *(dst_addr) = out15; - dst_addr += dst_plane_stride; - *(dst_addr) = out16; - dst_addr += dst_plane_stride; - *(dst_addr) = out17; - dst_addr += dst_plane_stride; - - *(dst_addr) = out18; - dst_addr += dst_plane_stride; - *(dst_addr) = out19; - dst_addr += dst_plane_stride; - *(dst_addr) = out20; - dst_addr += dst_plane_stride; - *(dst_addr) = out21; - dst_addr += dst_plane_stride; - *(dst_addr) = out22; - dst_addr += dst_plane_stride; - *(dst_addr) = out23; - dst_addr += dst_plane_stride; - *(dst_addr) = out24; - dst_addr += dst_plane_stride; - *(dst_addr) = out25; - dst_addr += dst_plane_stride; - *(dst_addr) = out26; - dst_addr += dst_plane_stride; - *(dst_addr) = out27; - dst_addr += dst_plane_stride; - *(dst_addr) = out28; - dst_addr += dst_plane_stride; - *(dst_addr) = out29; - dst_addr += dst_plane_stride; - - // Row5 - float4 d50 = vload4(0, (__global float *)(src_addr + 5 * src_stride_y)); - float2 d51 = vload2(2, (__global float *)(src_addr + 5 * src_stride_y)); - - // Channels [30, 35] - out0 = 16.0f * d10.s0 - 20.0f * d10.s2 - 20.0f * d30.s0 + 25.0f * d30.s2 + 4.0f * d50.s0 - 5.0f * d50.s2 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0; - out1 = -16.0f * d10.s1 - 16.0f * d10.s2 + 4.0f * d10.s3 + 20.0f * d30.s1 + 20.0f * d30.s2 - 5.0f * d30.s3 - 4.0f * d50.s1 - 4.0f * d50.s2 + d50.s3 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0; - out2 = 16.0f * d10.s1 - 16.0f * d10.s2 - 4.0f * d10.s3 - 20.0f * d30.s1 + 20.0f * d30.s2 + 5.0f * d30.s3 + 4.0f * d50.s1 - 4.0f * d50.s2 - d50.s3 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0; - out3 = -8.0f * d10.s1 - 4.0f * d10.s2 + 8.0f * d10.s3 + 10.0f * d30.s1 - 10.0f * d30.s3 + 5.0f * d30.s2 - 2.0f * d50.s1 + 2.0f * d50.s3 - d50.s2 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0; - out4 = 8.0f * d10.s1 - 4.0f * d10.s2 - 8.0f * d10.s3 - 10.0f * d30.s1 + 5.0f * d30.s2 + 10.0f * d30.s3 + 2.0f * d50.s1 - 2.0f * d50.s3 - d50.s2 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0; - out5 = 16.0f * d10.s1 - 20.0f * d10.s3 + 4.0f * d11.s1 - 20.0f * d30.s1 + 25.0f * d30.s3 - 5.0f * d31.s1 + 4.0f * d50.s1 - 5.0f * d50.s3 + d51.s1; - - *(dst_addr) = out0; - dst_addr += dst_plane_stride; - *(dst_addr) = out1; - dst_addr += dst_plane_stride; - *(dst_addr) = out2; - dst_addr += dst_plane_stride; - *(dst_addr) = out3; - dst_addr += dst_plane_stride; - *(dst_addr) = out4; - dst_addr += dst_plane_stride; - *(dst_addr) = out5; - dst_addr += dst_plane_stride; -#endif // #if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) -} - -#if defined(SRC_DIM_1) && defined(SRC_DIM_2) -/** This OpenCL kernel computes the input transform when the output tile is 4x4, the filter size 3x3 and the data layout is NHWC - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112) - * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112) - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_input_transform_4x4_3x3_stepz1_nhwc( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - int x = get_global_id(0); - int y = get_global_id(1); - int z = get_global_id(2); - - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * src_stride_x; - - // Clamp coordinates. This clamp is valid for all rows - int4 y_coord0 = (int4)(y * 4) + (int4)(0, 1, 2, 3) - (int4)PAD_LEFT; - int2 y_coord1 = (int2)(y * 4) + (int2)(4, 5) - (int2)PAD_LEFT; - y_coord0 = clamp(y_coord0, -1, SRC_DIM_1); - y_coord1 = clamp(y_coord1, -1, SRC_DIM_1); - - // Row4 - int z_coord = (z * 4) - PAD_TOP + 4; - - // If z < 0, set y to -1 - int4 valid_y0 = select(y_coord0, -1, (int4)z_coord < 0); - int2 valid_y1 = select(y_coord1, -1, (int2)z_coord < 0); - // If z >= SRC_DIM_2, set y to SRC_DIM_2 - valid_y0 = select(valid_y0, SRC_DIM_1, (int4)z_coord >= SRC_DIM_2); - valid_y1 = select(valid_y1, SRC_DIM_1, (int2)z_coord >= SRC_DIM_2); - - // Clamp z coordinate - z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); - - float d40 = *(__global float *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); - float d41 = *(__global float *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); - float d42 = *(__global float *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); - float d43 = *(__global float *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); - float d44 = *(__global float *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); - float d45 = *(__global float *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); - - float k0 = d44; - float k1 = d44; - float k2 = d44; - float k3 = d44; - float k4 = d44; - float k5 = (float)0.0f; - - k0 += 4.0f * d40 - 5.0f * d42; - k1 += -4.0f * d41 - 4.0f * d42 + d43; - k2 += 4.0f * d41 - 4.0f * d42 - d43; - k3 += -2.0f * d41 + 2.0f * d43 - d42; - k4 += 2.0f * d41 - 2.0f * d43 - d42; - k5 += 4.0f * d41 - 5.0f * d43 + d45; - - // Row0 - z_coord = (z * 4) - PAD_TOP + 0; - -#if PAD_TOP != 0 - valid_y0 = select(y_coord0, -1, (int4)z_coord < 0); - valid_y1 = select(y_coord1, -1, (int2)z_coord < 0); - valid_y0 = select(valid_y0, SRC_DIM_1, (int4)z_coord >= SRC_DIM_2); - valid_y1 = select(valid_y1, SRC_DIM_1, (int2)z_coord >= SRC_DIM_2); - z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); -#else // PAD_TOP != 0 - valid_y0 = y_coord0; - valid_y1 = y_coord1; -#endif // if PAD_TOP == 0, we cannot read out of bound - - float d00 = *(__global float *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); - float d01 = *(__global float *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); - float d02 = *(__global float *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); - float d03 = *(__global float *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); - float d04 = *(__global float *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); - float d05 = *(__global float *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); - - // Row2 - z_coord = (z * 4) - PAD_TOP + 2; - valid_y0 = select(y_coord0, -1, (int4)z_coord < 0); - valid_y1 = select(y_coord1, -1, (int2)z_coord < 0); - valid_y0 = select(valid_y0, SRC_DIM_1, (int4)z_coord >= SRC_DIM_2); - valid_y1 = select(valid_y1, SRC_DIM_1, (int2)z_coord >= SRC_DIM_2); - z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); - - float d20 = *(__global float *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); - float d21 = *(__global float *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); - float d22 = *(__global float *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); - float d23 = *(__global float *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); - float d24 = *(__global float *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); - float d25 = *(__global float *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); - - // Compute destination address - __global float *dst_addr = (__global float *)(dst_ptr + dst_offset_first_element_in_bytes + x * dst_stride_x + (y + z * (int)NUM_TILES_X) * dst_stride_y); - - uint dst_plane_stride = dst_stride_z / sizeof(float); - - float out0 = k0; - float out1 = k1; - float out2 = k2; - float out3 = k3; - float out4 = k4; - float out5 = k5; - float out6 = k0; - float out7 = k1; - float out8 = k2; - float out9 = k3; - float out10 = k4; - float out11 = k5; - float out12 = k0; - float out13 = k1; - float out14 = k2; - float out15 = k3; - float out16 = k4; - float out17 = k5; - float out18 = k0; - float out19 = k1; - float out20 = k2; - float out21 = k3; - float out22 = k4; - float out23 = k5; - float out24 = k0; - float out25 = k1; - float out26 = k2; - float out27 = k3; - float out28 = k4; - float out29 = k5; - - // Channels [0, 5]: [out00, out01, out02, out03, out04, out05] - out0 += 16.0f * d00 - 20.0f * d02 - 20.0f * d20 + 25.0f * d22 + 4.0f * d04 - 5.0f * d24; - out1 += -16.0f * d01 - 16.0f * d02 + 4.0f * d03 + 20.0f * d21 + 20.0f * d22 - 5.0f * d23 + 4.0f * d04 - 5.0f * d24; - out2 += 16.0f * d01 - 16.0f * d02 - 4.0f * d03 - 20.0f * d21 + 20.0f * d22 + 5.0f * d23 + 4.0f * d04 - 5.0f * d24; - out3 += -8.0f * d01 - 4.0f * d02 + 8.0f * d03 + 10.0f * d21 + 5.0f * d22 - 10.0f * d23 + 4.0f * d04 - 5.0f * d24; - out4 += 8.0f * d01 - 4.0f * d02 - 8.0f * d03 - 10.0f * d21 + 5.0f * d22 + 10.0f * d23 + 4.0f * d04 - 5.0f * d24; - out5 += 16.0f * d01 - 20.0f * d03 - 20.0f * d21 + 4.0f * d05 + 25.0f * d23 - 5.0f * d25; - - *((__global float *)dst_addr) = out0; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out1; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out2; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out3; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out4; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out5; - dst_addr += dst_plane_stride; - - // Row1 - z_coord = (z * 4) - PAD_TOP + 1; - // Row1 can never be out of bounds - valid_y0 = y_coord0; - valid_y1 = y_coord1; - - float d10 = *(__global float *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); - float d11 = *(__global float *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); - float d12 = *(__global float *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); - float d13 = *(__global float *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); - float d14 = *(__global float *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); - float d15 = *(__global float *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); - - // Row3 - z_coord = (z * 4) - PAD_TOP + 3; - valid_y0 = select(y_coord0, -1, (int4)z_coord < 0); - valid_y1 = select(y_coord1, -1, (int2)z_coord < 0); - valid_y0 = select(valid_y0, SRC_DIM_1, (int4)z_coord >= SRC_DIM_2); - valid_y1 = select(valid_y1, SRC_DIM_1, (int2)z_coord >= SRC_DIM_2); - z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); - z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); - - float d30 = *(__global float *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); - float d31 = *(__global float *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); - float d32 = *(__global float *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); - float d33 = *(__global float *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); - float d34 = *(__global float *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); - float d35 = *(__global float *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); - - // Compute common parts for the channels between [6, 29] - // Channels [6, 11]: [out10, out11, out12, out13, out14, out15] - // Channels [12, 17]: [out20, out21, out22, out23, out24, out25] - float part0 = -16.0f * d20 + 20.0f * d22 - 4.0f * d24; - float part1 = 16.0f * d10 - 20.0f * d12 + 4.0f * d14 - 4.0f * d30 + 5.0f * d32 - d34; - float part2 = 16.0f * d22 - 4.0f * d24; - float part3 = 16.0f * d21 - 4.0f * d23; - float part4 = 16.0f * d12 - 4.0f * d14 - 4.0f * d32 + d34; - float part5 = 16.0f * d11 - 4.0f * d13 - 4.0f * d31 + d33; - float part6 = 4.0f * d22 - 4.0f * d24; - float part7 = 8.0f * d11 - 8.0f * d13 - 2.0f * d31 + 2.0f * d33; - float part8 = 4.0f * d12 - 4.0f * d14 - d32 + d34; - float part9 = 8.0f * d21 - 8.0f * d23; - float part10 = -16.0f * d21 + 20.0f * d23 - 4.0f * d25; - float part11 = -16.0f * d11 + 20.0f * d13 - 4.0f * d15 + 4.0f * d31 - 5.0f * d33 + d35; - - // Channels [18, 23]: [out30, out31, out32, out33, out34, out35] - // Channels [24, 29]: [out40, out41, out42, out43, out44, out45] - float part12 = 8.0f * d10 - 10.0f * d12 + 2.0f * d14 - 8.0f * d30 + 10.0f * d32 - 2.0f * d34; - float part13 = part0 * 0.25f; // -4.0f * d20 + 5.0f * d22 - d24 - float part14 = part2 * 0.25f; // 4.0f * d22 - d24 - float part15 = 8.0f * d11 - 2.0f * d13 - 8.0f * d31 + 2.0f * d33; - float part16 = 8.0f * d12 - 2.0f * d14 - 8.0f * d32 + 2.0f * d34; - float part17 = part3 * 0.25f; // 4.0f * d21 - d23 - float part18 = part6 * 0.25f; // d22 - d24 - float part19 = 4.0f * d11 - 4.0f * d13 - 4.0f * d31 + 4.0f * d33; - float part20 = 2.0f * d12 - 2.0f * d14 - 2.0f * d32 + 2.0f * d34; - float part21 = part9 * 0.25f; // 2.0f * (d21 - d23) - float part22 = part10 * 0.25f; // - 4.0f * d21 + 5.0f * d23 - d25 - float part23 = part11 * 0.5f + 6.0f * d31 - 7.5f * d33 + 1.5f * d35; // - 8.0f * d11 + 10.0f * d13 - 2.0f * d15 + 8.0f * d31 - 10.0f * d33 + 2.0f * d35; - - out6 += part0 - part1; - out12 += part0 + part1; - out7 += part2 + part3 + part4 + part5; - out8 += part2 - part3 + part4 - part5; - out13 += part2 + part3 - part4 - part5; - out14 += part2 - part3 - part4 + part5; - out9 += part6 + part7 + part8 + part9; - out10 += part6 - part7 + part8 - part9; - out15 += part6 - part7 - part8 + part9; - out16 += part6 + part7 - part8 - part9; - out11 += part10 + part11; - out17 += part10 - part11; - - out18 += part13 - part12; - out24 += part13 + part12; - out19 += part14 + part15 + part16 + part17; - out20 += part14 - part15 + part16 - part17; - out25 += part14 - part15 - part16 + part17; - out26 += part14 + part15 - part16 - part17; - out21 += part18 + part19 + part20 + part21; - out22 += part18 - part19 + part20 - part21; - out27 += part18 - part19 - part20 + part21; - out28 += part18 + part19 - part20 - part21; - out23 += part22 + part23; - out29 += part22 - part23; - - *((__global float *)dst_addr) = out6; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out7; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out8; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out9; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out10; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out11; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out12; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out13; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out14; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out15; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out16; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out17; - dst_addr += dst_plane_stride; - - *((__global float *)dst_addr) = out18; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out19; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out20; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out21; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out22; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out23; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out24; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out25; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out26; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out27; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out28; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out29; - dst_addr += dst_plane_stride; - - // Row5 - z_coord = (z * 4) - PAD_TOP + 5; - valid_y0 = select(y_coord0, -1, (int4)z_coord < 0); - valid_y1 = select(y_coord1, -1, (int2)z_coord < 0); - valid_y0 = select(valid_y0, SRC_DIM_1, (int4)z_coord >= SRC_DIM_2); - valid_y1 = select(valid_y1, SRC_DIM_1, (int2)z_coord >= SRC_DIM_2); - z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); - z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); - - float d50 = *(__global float *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); - float d51 = *(__global float *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); - float d52 = *(__global float *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); - float d53 = *(__global float *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); - float d54 = *(__global float *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); - float d55 = *(__global float *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); - - // Channels [30, 35] - out0 = 16.0f * d10 - 20.0f * d12 - 20.0f * d30 + 25.0f * d32 + 4.0f * d50 - 5.0f * d52 + d54 + 4.0f * d14 - 5.0f * d34; - out1 = -16.0f * d11 - 16.0f * d12 + 4.0f * d13 + 20.0f * d31 + 20.0f * d32 - 5.0f * d33 - 4.0f * d51 - 4.0f * d52 + d53 + d54 + 4.0f * d14 - 5.0f * d34; - out2 = 16.0f * d11 - 16.0f * d12 - 4.0f * d13 - 20.0f * d31 + 20.0f * d32 + 5.0f * d33 + 4.0f * d51 - 4.0f * d52 - d53 + d54 + 4.0f * d14 - 5.0f * d34; - out3 = -8.0f * d11 - 4.0f * d12 + 8.0f * d13 + 10.0f * d31 - 10.0f * d33 + 5.0f * d32 - 2.0f * d51 + 2.0f * d53 - d52 + d54 + 4.0f * d14 - 5.0f * d34; - out4 = 8.0f * d11 - 4.0f * d12 - 8.0f * d13 - 10.0f * d31 + 5.0f * d32 + 10.0f * d33 + 2.0f * d51 - 2.0f * d53 - d52 + d54 + 4.0f * d14 - 5.0f * d34; - out5 = 16.0f * d11 - 20.0f * d13 + 4.0f * d15 - 20.0f * d31 + 25.0f * d33 - 5.0f * d35 + 4.0f * d51 - 5.0f * d53 + d55; - - *((__global float *)dst_addr) = out0; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out1; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out2; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out3; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out4; - dst_addr += dst_plane_stride; - *((__global float *)dst_addr) = out5; - dst_addr += dst_plane_stride; -} - -#endif // defined(SRC_DIM_1) && defined(SRC_DIM_2) - -#define OUTPUT_ROW_4x4_5x5(out, tmp, comm_fact) \ - ({ \ - comm_fact.s0 = tmp.s2 - 4.25f * tmp.s4 + tmp.s6; \ - comm_fact.s1 = tmp.s1 - 4.25f * tmp.s3 + tmp.s5; \ - comm_fact.s2 = 2.5f * tmp.s3; \ - comm_fact.s3 = 0.5f * tmp.s1 + 2.f * tmp.s5 - comm_fact.s2; \ - comm_fact.s4 = 0.25f * tmp.s2 - 1.25f * tmp.s4 + tmp.s6; \ - comm_fact.s5 = 4.f * tmp.s2 + tmp.s6 - 5.f * tmp.s4; \ - comm_fact.s6 = 2.f * tmp.s1 + 0.5f * tmp.s5 - comm_fact.s2; \ - \ - out.s0 = tmp.s0 - tmp.s6 + 5.25f * tmp.s4 - 5.25f * tmp.s2; \ - out.s1 = comm_fact.s0 + comm_fact.s1; \ - out.s2 = comm_fact.s0 - comm_fact.s1; \ - out.s3 = comm_fact.s3 + comm_fact.s4; \ - out.s4 = comm_fact.s4 - comm_fact.s3; \ - out.s5 = comm_fact.s5 + comm_fact.s6; \ - out.s6 = comm_fact.s5 - comm_fact.s6; \ - out.s7 = tmp.s7 - tmp.s1 + 5.25f * tmp.s3 - 5.25f * tmp.s5; \ - }) - -/** This OpenCL kernel computes the input transform when the kernel size is 5x5 and the output tile is 4x4 when the data layout is NCHW - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_input_transform_4x4_5x5_stepz1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - int x = get_global_id(0); - int y = get_global_id(1); - int z = get_global_id(2); - - // Compute input address - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * 4 * src_stride_x + y * 4 * src_stride_y + z * src_stride_z; - - src_addr = src_addr - ((int)PAD_LEFT * src_stride_x) - ((int)PAD_TOP * src_stride_y); - - // Load 8x8 input tile - const float8 in_row0 = vload8(0, (__global float *)(src_addr + 0 * src_stride_y)); - const float8 in_row1 = vload8(0, (__global float *)(src_addr + 1 * src_stride_y)); - const float8 in_row2 = vload8(0, (__global float *)(src_addr + 2 * src_stride_y)); - const float8 in_row3 = vload8(0, (__global float *)(src_addr + 3 * src_stride_y)); - const float8 in_row4 = vload8(0, (__global float *)(src_addr + 4 * src_stride_y)); - const float8 in_row5 = vload8(0, (__global float *)(src_addr + 5 * src_stride_y)); - const float8 in_row6 = vload8(0, (__global float *)(src_addr + 6 * src_stride_y)); - const float8 in_row7 = vload8(0, (__global float *)(src_addr + 7 * src_stride_y)); - - // Calculate common factors for intermediate tensor - float8 comm_fact0 = in_row2 + in_row6 - 4.25f * in_row4; - float8 comm_fact1 = in_row1 + in_row5 - 4.25f * in_row3; - float8 comm_fact2 = 0.25f * in_row2 - 1.25f * in_row4 + in_row6; - - // Calculate intermediate tensor and reuse common factor vectors - const float8 tmp0 = in_row0 - in_row6 + 5.25f * in_row4 - 5.25f * in_row2; - const float8 tmp1 = comm_fact0 + comm_fact1; - const float8 tmp2 = comm_fact0 - comm_fact1; - - comm_fact0 = 2.5f * in_row3; - comm_fact1 = 0.5f * in_row1 - comm_fact0 + 2.f * in_row5; - - const float8 tmp3 = comm_fact1 + comm_fact2; - const float8 tmp4 = comm_fact2 - comm_fact1; - - comm_fact1 = 2.f * in_row1 - comm_fact0 + 0.5f * in_row5; - comm_fact2 = 4.f * in_row2 - 5.f * in_row4 + in_row6; - - const float8 tmp5 = comm_fact1 + comm_fact2; - const float8 tmp6 = comm_fact2 - comm_fact1; - const float8 tmp7 = in_row7 - in_row1 + 5.25f * in_row3 - 5.25f * in_row5; - - // Calculate output rows (reuse comm_fact0 vector) - float8 out0, out1, out2, out3, out4, out5, out6, out7; - - OUTPUT_ROW_4x4_5x5(out0, tmp0, comm_fact0); - OUTPUT_ROW_4x4_5x5(out1, tmp1, comm_fact0); - OUTPUT_ROW_4x4_5x5(out2, tmp2, comm_fact0); - OUTPUT_ROW_4x4_5x5(out3, tmp3, comm_fact0); - OUTPUT_ROW_4x4_5x5(out4, tmp4, comm_fact0); - OUTPUT_ROW_4x4_5x5(out5, tmp5, comm_fact0); - OUTPUT_ROW_4x4_5x5(out6, tmp6, comm_fact0); - OUTPUT_ROW_4x4_5x5(out7, tmp7, comm_fact0); - - // Store values across the 64 channels - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * dst_stride_x + (x + y * (int)NUM_TILES_X) * dst_stride_y; - - *((__global float *)(dst_addr + 0 * dst_stride_z)) = out0.s0; - *((__global float *)(dst_addr + 1 * dst_stride_z)) = out0.s1; - *((__global float *)(dst_addr + 2 * dst_stride_z)) = out0.s2; - *((__global float *)(dst_addr + 3 * dst_stride_z)) = out0.s3; - *((__global float *)(dst_addr + 4 * dst_stride_z)) = out0.s4; - *((__global float *)(dst_addr + 5 * dst_stride_z)) = out0.s5; - *((__global float *)(dst_addr + 6 * dst_stride_z)) = out0.s6; - *((__global float *)(dst_addr + 7 * dst_stride_z)) = out0.s7; - *((__global float *)(dst_addr + 8 * dst_stride_z)) = out1.s0; - *((__global float *)(dst_addr + 9 * dst_stride_z)) = out1.s1; - *((__global float *)(dst_addr + 10 * dst_stride_z)) = out1.s2; - *((__global float *)(dst_addr + 11 * dst_stride_z)) = out1.s3; - *((__global float *)(dst_addr + 12 * dst_stride_z)) = out1.s4; - *((__global float *)(dst_addr + 13 * dst_stride_z)) = out1.s5; - *((__global float *)(dst_addr + 14 * dst_stride_z)) = out1.s6; - *((__global float *)(dst_addr + 15 * dst_stride_z)) = out1.s7; - *((__global float *)(dst_addr + 16 * dst_stride_z)) = out2.s0; - *((__global float *)(dst_addr + 17 * dst_stride_z)) = out2.s1; - *((__global float *)(dst_addr + 18 * dst_stride_z)) = out2.s2; - *((__global float *)(dst_addr + 19 * dst_stride_z)) = out2.s3; - *((__global float *)(dst_addr + 20 * dst_stride_z)) = out2.s4; - *((__global float *)(dst_addr + 21 * dst_stride_z)) = out2.s5; - *((__global float *)(dst_addr + 22 * dst_stride_z)) = out2.s6; - *((__global float *)(dst_addr + 23 * dst_stride_z)) = out2.s7; - *((__global float *)(dst_addr + 24 * dst_stride_z)) = out3.s0; - *((__global float *)(dst_addr + 25 * dst_stride_z)) = out3.s1; - *((__global float *)(dst_addr + 26 * dst_stride_z)) = out3.s2; - *((__global float *)(dst_addr + 27 * dst_stride_z)) = out3.s3; - *((__global float *)(dst_addr + 28 * dst_stride_z)) = out3.s4; - *((__global float *)(dst_addr + 29 * dst_stride_z)) = out3.s5; - *((__global float *)(dst_addr + 30 * dst_stride_z)) = out3.s6; - *((__global float *)(dst_addr + 31 * dst_stride_z)) = out3.s7; - *((__global float *)(dst_addr + 32 * dst_stride_z)) = out4.s0; - *((__global float *)(dst_addr + 33 * dst_stride_z)) = out4.s1; - *((__global float *)(dst_addr + 34 * dst_stride_z)) = out4.s2; - *((__global float *)(dst_addr + 35 * dst_stride_z)) = out4.s3; - *((__global float *)(dst_addr + 36 * dst_stride_z)) = out4.s4; - *((__global float *)(dst_addr + 37 * dst_stride_z)) = out4.s5; - *((__global float *)(dst_addr + 38 * dst_stride_z)) = out4.s6; - *((__global float *)(dst_addr + 39 * dst_stride_z)) = out4.s7; - *((__global float *)(dst_addr + 40 * dst_stride_z)) = out5.s0; - *((__global float *)(dst_addr + 41 * dst_stride_z)) = out5.s1; - *((__global float *)(dst_addr + 42 * dst_stride_z)) = out5.s2; - *((__global float *)(dst_addr + 43 * dst_stride_z)) = out5.s3; - *((__global float *)(dst_addr + 44 * dst_stride_z)) = out5.s4; - *((__global float *)(dst_addr + 45 * dst_stride_z)) = out5.s5; - *((__global float *)(dst_addr + 46 * dst_stride_z)) = out5.s6; - *((__global float *)(dst_addr + 47 * dst_stride_z)) = out5.s7; - *((__global float *)(dst_addr + 48 * dst_stride_z)) = out6.s0; - *((__global float *)(dst_addr + 49 * dst_stride_z)) = out6.s1; - *((__global float *)(dst_addr + 50 * dst_stride_z)) = out6.s2; - *((__global float *)(dst_addr + 51 * dst_stride_z)) = out6.s3; - *((__global float *)(dst_addr + 52 * dst_stride_z)) = out6.s4; - *((__global float *)(dst_addr + 53 * dst_stride_z)) = out6.s5; - *((__global float *)(dst_addr + 54 * dst_stride_z)) = out6.s6; - *((__global float *)(dst_addr + 55 * dst_stride_z)) = out6.s7; - *((__global float *)(dst_addr + 56 * dst_stride_z)) = out7.s0; - *((__global float *)(dst_addr + 57 * dst_stride_z)) = out7.s1; - *((__global float *)(dst_addr + 58 * dst_stride_z)) = out7.s2; - *((__global float *)(dst_addr + 59 * dst_stride_z)) = out7.s3; - *((__global float *)(dst_addr + 60 * dst_stride_z)) = out7.s4; - *((__global float *)(dst_addr + 61 * dst_stride_z)) = out7.s5; - *((__global float *)(dst_addr + 62 * dst_stride_z)) = out7.s6; - *((__global float *)(dst_addr + 63 * dst_stride_z)) = out7.s7; -} - -#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) -/** This OpenCL kernel computes the input transform when the kernel size is 3x1 and the output tile is 2x1 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 - * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_input_transform_2x1_3x1_stepz1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_input_transform_2x2_3x3_stepz1_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes); -} - -/** This OpenCL kernel computes the input transform when the kernel size is 3x1, the output tile is 2x1 and the number of channels is multiple of 2 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 - * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_input_transform_2x1_3x1_stepz2_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_input_transform_2x2_3x3_stepz2_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes); -} - -/** This OpenCL kernel computes the input transform when the kernel size is 3x1 and the output tile is 4x1 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 - * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_input_transform_4x1_3x1_stepz1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_input_transform_4x4_3x3_stepz1_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes); -} -#endif // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - -#if defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) -/** This OpenCL kernel computes the input transform when the kernel size is 1x3 and the output tile is 1x2 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 - * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_input_transform_1x2_1x3_stepz1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_input_transform_2x2_3x3_stepz1_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes); -} - -/** This OpenCL kernel computes the input transform when the kernel size is 1x3, the output tile is 1x2 and the number of channels is multiple of 2 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 - * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_input_transform_1x2_1x3_stepz2_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_input_transform_2x2_3x3_stepz2_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes); -} - -/** This OpenCL kernel computes the input transform when the kernel size is 1x3 and the output tile is 1x4 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 - * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_input_transform_1x4_1x3_stepz1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_input_transform_4x4_3x3_stepz1_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes); -} -#endif // defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - -#if defined(SRC_DIM_1) && defined(SRC_DIM_2) -/** This OpenCL kernel computes the input transform when the kernel size is 5x5 and the output tile is 4x4 when the data layout is NHWC - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_input_transform_4x4_5x5_stepz1_nhwc( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - int x = get_global_id(0); - int y = get_global_id(1); - int z = get_global_id(2); - - // Compute input address - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(float); - - // Clamp coordinates. This clamp is valid for all rows - int8 y_coord = (int8)(y * 4) + (int8)(0, 1, 2, 3, 4, 5, 6, 7) - (int8)PAD_LEFT; - y_coord = clamp(y_coord, -1, SRC_DIM_1); - - // Load 8x8 input tile - float8 in_row0, in_row1, in_row2, in_row3, in_row4, in_row5, in_row6, in_row7; - - // Row0 - int z_coord = (z * 4) - PAD_TOP + 0; - int8 valid_y = select(y_coord, -1, (int8)z_coord < 0); // If z < 0, set y to -1 - valid_y = select(valid_y, SRC_DIM_1, (int8)z_coord >= SRC_DIM_2); // If z >= SRC_DIM_2, set y to SRC_DIM_2 - z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); // Clamp z coordinate - - in_row0.s0 = *(__global float *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); - in_row0.s1 = *(__global float *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); - in_row0.s2 = *(__global float *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); - in_row0.s3 = *(__global float *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); - in_row0.s4 = *(__global float *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); - in_row0.s5 = *(__global float *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); - in_row0.s6 = *(__global float *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); - in_row0.s7 = *(__global float *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); - - // Row1 - z_coord = (z * 4) - PAD_TOP + 1; - valid_y = select(y_coord, -1, (int8)z_coord < 0); - valid_y = select(valid_y, SRC_DIM_1, (int8)z_coord >= SRC_DIM_2); - z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); - - in_row1.s0 = *(__global float *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); - in_row1.s1 = *(__global float *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); - in_row1.s2 = *(__global float *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); - in_row1.s3 = *(__global float *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); - in_row1.s4 = *(__global float *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); - in_row1.s5 = *(__global float *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); - in_row1.s6 = *(__global float *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); - in_row1.s7 = *(__global float *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); - - // Row2 - z_coord = (z * 4) - PAD_TOP + 2; - valid_y = select(y_coord, -1, (int8)z_coord < 0); - valid_y = select(valid_y, SRC_DIM_1, (int8)z_coord >= SRC_DIM_2); - z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); - - in_row2.s0 = *(__global float *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); - in_row2.s1 = *(__global float *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); - in_row2.s2 = *(__global float *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); - in_row2.s3 = *(__global float *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); - in_row2.s4 = *(__global float *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); - in_row2.s5 = *(__global float *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); - in_row2.s6 = *(__global float *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); - in_row2.s7 = *(__global float *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); - - // Row3 - z_coord = (z * 4) - PAD_TOP + 3; - valid_y = select(y_coord, -1, (int8)z_coord < 0); - valid_y = select(valid_y, SRC_DIM_1, (int8)z_coord >= SRC_DIM_2); - z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); - - in_row3.s0 = *(__global float *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); - in_row3.s1 = *(__global float *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); - in_row3.s2 = *(__global float *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); - in_row3.s3 = *(__global float *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); - in_row3.s4 = *(__global float *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); - in_row3.s5 = *(__global float *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); - in_row3.s6 = *(__global float *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); - in_row3.s7 = *(__global float *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); - - // Row4 - z_coord = (z * 4) - PAD_TOP + 4; - valid_y = select(y_coord, -1, (int8)z_coord < 0); - valid_y = select(valid_y, SRC_DIM_1, (int8)z_coord >= SRC_DIM_2); - z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); - - in_row4.s0 = *(__global float *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); - in_row4.s1 = *(__global float *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); - in_row4.s2 = *(__global float *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); - in_row4.s3 = *(__global float *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); - in_row4.s4 = *(__global float *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); - in_row4.s5 = *(__global float *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); - in_row4.s6 = *(__global float *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); - in_row4.s7 = *(__global float *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); - - // Row5 - z_coord = (z * 4) - PAD_TOP + 5; - valid_y = select(y_coord, -1, (int8)z_coord < 0); - valid_y = select(valid_y, SRC_DIM_1, (int8)z_coord >= SRC_DIM_2); - z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); - - in_row5.s0 = *(__global float *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); - in_row5.s1 = *(__global float *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); - in_row5.s2 = *(__global float *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); - in_row5.s3 = *(__global float *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); - in_row5.s4 = *(__global float *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); - in_row5.s5 = *(__global float *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); - in_row5.s6 = *(__global float *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); - in_row5.s7 = *(__global float *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); - - // Row6 - z_coord = (z * 4) - PAD_TOP + 6; - valid_y = select(y_coord, -1, (int8)z_coord < 0); - valid_y = select(valid_y, SRC_DIM_1, (int8)z_coord >= SRC_DIM_2); - z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); - - in_row6.s0 = *(__global float *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); - in_row6.s1 = *(__global float *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); - in_row6.s2 = *(__global float *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); - in_row6.s3 = *(__global float *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); - in_row6.s4 = *(__global float *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); - in_row6.s5 = *(__global float *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); - in_row6.s6 = *(__global float *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); - in_row6.s7 = *(__global float *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); - - // Row7 - z_coord = (z * 4) - PAD_TOP + 7; - valid_y = select(y_coord, -1, (int8)z_coord < 0); - valid_y = select(valid_y, SRC_DIM_1, (int8)z_coord >= SRC_DIM_2); - z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); - - in_row7.s0 = *(__global float *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); - in_row7.s1 = *(__global float *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); - in_row7.s2 = *(__global float *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); - in_row7.s3 = *(__global float *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); - in_row7.s4 = *(__global float *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); - in_row7.s5 = *(__global float *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); - in_row7.s6 = *(__global float *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); - in_row7.s7 = *(__global float *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); - - // Calculate common factors for intermediate tensor - float8 comm_fact0 = in_row2 + in_row6 - 4.25f * in_row4; - float8 comm_fact1 = in_row1 + in_row5 - 4.25f * in_row3; - float8 comm_fact2 = 0.25f * in_row2 - 1.25f * in_row4 + in_row6; - - // Calculate intermediate tensor and reuse common factor vectors - const float8 tmp0 = in_row0 - in_row6 + 5.25f * in_row4 - 5.25f * in_row2; - const float8 tmp1 = comm_fact0 + comm_fact1; - const float8 tmp2 = comm_fact0 - comm_fact1; - - comm_fact0 = 2.5f * in_row3; - comm_fact1 = 0.5f * in_row1 - comm_fact0 + 2.f * in_row5; - - const float8 tmp3 = comm_fact1 + comm_fact2; - const float8 tmp4 = comm_fact2 - comm_fact1; - - comm_fact1 = 2.f * in_row1 - comm_fact0 + 0.5f * in_row5; - comm_fact2 = 4.f * in_row2 - 5.f * in_row4 + in_row6; - - const float8 tmp5 = comm_fact1 + comm_fact2; - const float8 tmp6 = comm_fact2 - comm_fact1; - const float8 tmp7 = in_row7 - in_row1 + 5.25f * in_row3 - 5.25f * in_row5; - - // Calculate output rows (reuse comm_fact0 vector) - float8 out0, out1, out2, out3, out4, out5, out6, out7; - - OUTPUT_ROW_4x4_5x5(out0, tmp0, comm_fact0); - OUTPUT_ROW_4x4_5x5(out1, tmp1, comm_fact0); - OUTPUT_ROW_4x4_5x5(out2, tmp2, comm_fact0); - OUTPUT_ROW_4x4_5x5(out3, tmp3, comm_fact0); - OUTPUT_ROW_4x4_5x5(out4, tmp4, comm_fact0); - OUTPUT_ROW_4x4_5x5(out5, tmp5, comm_fact0); - OUTPUT_ROW_4x4_5x5(out6, tmp6, comm_fact0); - OUTPUT_ROW_4x4_5x5(out7, tmp7, comm_fact0); - - // Store values across the 64 channels - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * sizeof(float) + (y + z * (int)NUM_TILES_X) * dst_stride_y; - - *((__global float *)(dst_addr + 0 * dst_stride_z)) = out0.s0; - *((__global float *)(dst_addr + 1 * dst_stride_z)) = out0.s1; - *((__global float *)(dst_addr + 2 * dst_stride_z)) = out0.s2; - *((__global float *)(dst_addr + 3 * dst_stride_z)) = out0.s3; - *((__global float *)(dst_addr + 4 * dst_stride_z)) = out0.s4; - *((__global float *)(dst_addr + 5 * dst_stride_z)) = out0.s5; - *((__global float *)(dst_addr + 6 * dst_stride_z)) = out0.s6; - *((__global float *)(dst_addr + 7 * dst_stride_z)) = out0.s7; - *((__global float *)(dst_addr + 8 * dst_stride_z)) = out1.s0; - *((__global float *)(dst_addr + 9 * dst_stride_z)) = out1.s1; - *((__global float *)(dst_addr + 10 * dst_stride_z)) = out1.s2; - *((__global float *)(dst_addr + 11 * dst_stride_z)) = out1.s3; - *((__global float *)(dst_addr + 12 * dst_stride_z)) = out1.s4; - *((__global float *)(dst_addr + 13 * dst_stride_z)) = out1.s5; - *((__global float *)(dst_addr + 14 * dst_stride_z)) = out1.s6; - *((__global float *)(dst_addr + 15 * dst_stride_z)) = out1.s7; - *((__global float *)(dst_addr + 16 * dst_stride_z)) = out2.s0; - *((__global float *)(dst_addr + 17 * dst_stride_z)) = out2.s1; - *((__global float *)(dst_addr + 18 * dst_stride_z)) = out2.s2; - *((__global float *)(dst_addr + 19 * dst_stride_z)) = out2.s3; - *((__global float *)(dst_addr + 20 * dst_stride_z)) = out2.s4; - *((__global float *)(dst_addr + 21 * dst_stride_z)) = out2.s5; - *((__global float *)(dst_addr + 22 * dst_stride_z)) = out2.s6; - *((__global float *)(dst_addr + 23 * dst_stride_z)) = out2.s7; - *((__global float *)(dst_addr + 24 * dst_stride_z)) = out3.s0; - *((__global float *)(dst_addr + 25 * dst_stride_z)) = out3.s1; - *((__global float *)(dst_addr + 26 * dst_stride_z)) = out3.s2; - *((__global float *)(dst_addr + 27 * dst_stride_z)) = out3.s3; - *((__global float *)(dst_addr + 28 * dst_stride_z)) = out3.s4; - *((__global float *)(dst_addr + 29 * dst_stride_z)) = out3.s5; - *((__global float *)(dst_addr + 30 * dst_stride_z)) = out3.s6; - *((__global float *)(dst_addr + 31 * dst_stride_z)) = out3.s7; - *((__global float *)(dst_addr + 32 * dst_stride_z)) = out4.s0; - *((__global float *)(dst_addr + 33 * dst_stride_z)) = out4.s1; - *((__global float *)(dst_addr + 34 * dst_stride_z)) = out4.s2; - *((__global float *)(dst_addr + 35 * dst_stride_z)) = out4.s3; - *((__global float *)(dst_addr + 36 * dst_stride_z)) = out4.s4; - *((__global float *)(dst_addr + 37 * dst_stride_z)) = out4.s5; - *((__global float *)(dst_addr + 38 * dst_stride_z)) = out4.s6; - *((__global float *)(dst_addr + 39 * dst_stride_z)) = out4.s7; - *((__global float *)(dst_addr + 40 * dst_stride_z)) = out5.s0; - *((__global float *)(dst_addr + 41 * dst_stride_z)) = out5.s1; - *((__global float *)(dst_addr + 42 * dst_stride_z)) = out5.s2; - *((__global float *)(dst_addr + 43 * dst_stride_z)) = out5.s3; - *((__global float *)(dst_addr + 44 * dst_stride_z)) = out5.s4; - *((__global float *)(dst_addr + 45 * dst_stride_z)) = out5.s5; - *((__global float *)(dst_addr + 46 * dst_stride_z)) = out5.s6; - *((__global float *)(dst_addr + 47 * dst_stride_z)) = out5.s7; - *((__global float *)(dst_addr + 48 * dst_stride_z)) = out6.s0; - *((__global float *)(dst_addr + 49 * dst_stride_z)) = out6.s1; - *((__global float *)(dst_addr + 50 * dst_stride_z)) = out6.s2; - *((__global float *)(dst_addr + 51 * dst_stride_z)) = out6.s3; - *((__global float *)(dst_addr + 52 * dst_stride_z)) = out6.s4; - *((__global float *)(dst_addr + 53 * dst_stride_z)) = out6.s5; - *((__global float *)(dst_addr + 54 * dst_stride_z)) = out6.s6; - *((__global float *)(dst_addr + 55 * dst_stride_z)) = out6.s7; - *((__global float *)(dst_addr + 56 * dst_stride_z)) = out7.s0; - *((__global float *)(dst_addr + 57 * dst_stride_z)) = out7.s1; - *((__global float *)(dst_addr + 58 * dst_stride_z)) = out7.s2; - *((__global float *)(dst_addr + 59 * dst_stride_z)) = out7.s3; - *((__global float *)(dst_addr + 60 * dst_stride_z)) = out7.s4; - *((__global float *)(dst_addr + 61 * dst_stride_z)) = out7.s5; - *((__global float *)(dst_addr + 62 * dst_stride_z)) = out7.s6; - *((__global float *)(dst_addr + 63 * dst_stride_z)) = out7.s7; -} -#endif // defined(SRC_DIM_1) && defined(SRC_DIM_2) -#endif // defined(NUM_TILES_X) && defined(PAD_LEFT) && defined(PAD_TOP) && defined(OUTPUT_TILE_W) && defined(OUTPUT_TILE_H) - -#if defined(NUM_TILES_X) && defined(OUTPUT_TILE_W) && defined(OUTPUT_TILE_H) -/** This OpenCL kernel performs Winograd output transform when the output tile is 2x2/2x1 or 1x2, the filter size 3x3/3x1 or 1x3 and the data layout is NCHW - * - * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 - * @note If this kernel is used to perform Winograd output transform 3x1, -DWINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd output transform 1x3, -DWINOGRAD_OUTPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_output_transform_2x2_3x3_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst) -#if defined(HAS_BIAS) - , - VECTOR_DECLARATION(bias) -#endif // defined(HAS_BIAS) -) -{ - // Each thread stores a 2x2/2x1 or 1x2 tile accordingly with the filter size - Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); - - const __global uchar *src_addr = tensor3D_offset(&src, 0, 0, 0); - - // Load the values across the 16 or 4 channels to compose the 4x4 or 4x1 tile - float d00 = *((__global float *)(src_addr + 0 * src_stride_z)); - float d01 = *((__global float *)(src_addr + 1 * src_stride_z)); - float d02 = *((__global float *)(src_addr + 2 * src_stride_z)); - float d03 = *((__global float *)(src_addr + 3 * src_stride_z)); - -#if defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) - // Compute the 2x1 or 1x2 output tile - // out00 = d00 + d01 + d02 - // out01 = d01 - d02 - d03 - - float out00 = d00 + d01 + d02; - float out01 = d01 - d02 - d03; -#else // defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) - float d10 = *((__global float *)(src_addr + 4 * src_stride_z)); - float d11 = *((__global float *)(src_addr + 5 * src_stride_z)); - float d12 = *((__global float *)(src_addr + 6 * src_stride_z)); - float d13 = *((__global float *)(src_addr + 7 * src_stride_z)); - - float d20 = *((__global float *)(src_addr + 8 * src_stride_z)); - float d21 = *((__global float *)(src_addr + 9 * src_stride_z)); - float d22 = *((__global float *)(src_addr + 10 * src_stride_z)); - float d23 = *((__global float *)(src_addr + 11 * src_stride_z)); - - float d30 = *((__global float *)(src_addr + 12 * src_stride_z)); - float d31 = *((__global float *)(src_addr + 13 * src_stride_z)); - float d32 = *((__global float *)(src_addr + 14 * src_stride_z)); - float d33 = *((__global float *)(src_addr + 15 * src_stride_z)); - - // Compute the 2x2 output tile - float k0 = d01 + d11 + d21; - float k1 = d02 + d12 + d22; - float k2 = d11 - d21 - d31; - float k3 = d12 - d22 - d32; - - // out00 = d00 + d10 + d20 + d01 + d11 + d21 + d02 + d12 + d22 - // out01 = d01 + d11 + d21 - (d02 + d12 + d22) - (d03 + d13 + d23) - // out10 = d10 - d20 - d30 + (d11 - d21 - d31) + (d12 - d22 - d32) - // out11 = d11 - d21 - d31 - (d12 - d22 - d32) - (d13 - d23 - d33) - - float out00 = d10; - float out01 = -d13; - float out10 = d10; - float out11 = -d13; - - out00 += d00 + d20 + k0 + k1; - out01 += k0 - k1 - (d03 + d23); - out10 += -d20 - d30 + k2 + k3; - out11 += k2 - k3 + d23 + d33; -#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) - - int y_in = get_global_id(1); - int x_out = (y_in % NUM_TILES_X) * OUTPUT_TILE_W; - int y_out = (y_in / NUM_TILES_X) * OUTPUT_TILE_H; - int z_out = get_global_id(0); - -#if defined(HAS_BIAS) - // Add bias - Vector bias = CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); - - float b = (float) * ((__global float *)(vector_offset(&bias, z_out))); - - out00 += (float)b; - out01 += (float)b; -#endif // defined(HAS_BIAS) - - // Get output address - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x_out * sizeof(float) + y_out * dst_stride_y + z_out * dst_stride_z; - - // Store the output tile -#if defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) - *((__global float *)(dst_addr + 0 * dst_stride_y)) = out00; - *((__global float *)(dst_addr + 1 * dst_stride_y)) = out01; -#else // defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) - vstore2((float2)(out00, out01), 0, (__global float *)(dst_addr + 0 * dst_stride_y)); -#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) - -#if !defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) -#if defined(HAS_BIAS) - // Add bias - out10 += (float)b; - out11 += (float)b; -#endif // defined(HAS_BIAS) - - vstore2((float2)(out10, out11), 0, (__global float *)(dst_addr + 1 * dst_stride_y)); -#endif // !defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) -} - -/** This OpenCL kernel performs Winograd output transform when the output tile is 4x4, the filter size 3x3 and the data layout is NCHW - * - * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 - * @note If this kernel is used to perform Winograd output transform 3x1, -DWINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd output transform 1x3, -DWINOGRAD_OUTPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_output_transform_4x4_3x3_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst) -#if defined(HAS_BIAS) - , - VECTOR_DECLARATION(bias) -#endif // defined(HAS_BIAS) -) -{ - // Each thread stores a 4x4/4x1 or 1x4 tile - Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); - - const __global uchar *src_addr = tensor3D_offset(&src, 0, 0, 0); - - // Load the values across the channels to compose the 6x6 or 6x1 tile - float d00 = *((__global float *)(src_addr + 0 * src_stride_z)); - float d01 = *((__global float *)(src_addr + 1 * src_stride_z)); - float d02 = *((__global float *)(src_addr + 2 * src_stride_z)); - float d03 = *((__global float *)(src_addr + 3 * src_stride_z)); - float d04 = *((__global float *)(src_addr + 4 * src_stride_z)); - float d05 = *((__global float *)(src_addr + 5 * src_stride_z)); - -#if defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) - // Compute out00, out01, out02 and out03 - float out00 = d00 + d01 + d02 + d03 + d04; - float out01 = d01 - d02 + 2.0f * d03 - 2.0f * d04; - float out02 = d01 + d02 + 4.0f * d03 + 4.0f * d04; - float out03 = d01 - d02 + 8.0f * d03 - 8.0f * d04 + d05; -#else // defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) - float d10 = *((__global float *)(src_addr + 6 * src_stride_z)); - float d11 = *((__global float *)(src_addr + 7 * src_stride_z)); - float d12 = *((__global float *)(src_addr + 8 * src_stride_z)); - float d13 = *((__global float *)(src_addr + 9 * src_stride_z)); - float d14 = *((__global float *)(src_addr + 10 * src_stride_z)); - float d15 = *((__global float *)(src_addr + 11 * src_stride_z)); - - float d20 = *((__global float *)(src_addr + 12 * src_stride_z)); - float d21 = *((__global float *)(src_addr + 13 * src_stride_z)); - float d22 = *((__global float *)(src_addr + 14 * src_stride_z)); - float d23 = *((__global float *)(src_addr + 15 * src_stride_z)); - float d24 = *((__global float *)(src_addr + 16 * src_stride_z)); - float d25 = *((__global float *)(src_addr + 17 * src_stride_z)); - - float d30 = *((__global float *)(src_addr + 18 * src_stride_z)); - float d31 = *((__global float *)(src_addr + 19 * src_stride_z)); - float d32 = *((__global float *)(src_addr + 20 * src_stride_z)); - float d33 = *((__global float *)(src_addr + 21 * src_stride_z)); - float d34 = *((__global float *)(src_addr + 22 * src_stride_z)); - float d35 = *((__global float *)(src_addr + 23 * src_stride_z)); - - float d40 = *((__global float *)(src_addr + 24 * src_stride_z)); - float d41 = *((__global float *)(src_addr + 25 * src_stride_z)); - float d42 = *((__global float *)(src_addr + 26 * src_stride_z)); - float d43 = *((__global float *)(src_addr + 27 * src_stride_z)); - float d44 = *((__global float *)(src_addr + 28 * src_stride_z)); - float d45 = *((__global float *)(src_addr + 29 * src_stride_z)); - - float d50 = *((__global float *)(src_addr + 30 * src_stride_z)); - float d51 = *((__global float *)(src_addr + 31 * src_stride_z)); - float d52 = *((__global float *)(src_addr + 32 * src_stride_z)); - float d53 = *((__global float *)(src_addr + 33 * src_stride_z)); - float d54 = *((__global float *)(src_addr + 34 * src_stride_z)); - float d55 = *((__global float *)(src_addr + 35 * src_stride_z)); - - // Compute out00, out01, out02 and out03 - float out00 = d01 + d21 + d41 + d11 + d31; - float out01 = d01 + d21 + d41 + d11 + d31; - float out02 = d01 + d21 + d41 + d11 + d31; - float out03 = d01 + d21 + d41 + d11 + d31; - - float k0 = d03 + d04 + d13 + d14 + d23 + d24 + d33 + d34 + d43 + d44; - float k1 = 2.0f * d03 - 2.0f * d04 + 2.0f * d13 - 2.0f * d14 + 2.0f * d23 - 2.0f * d24 + 2.0f * d33 - 2.0f * d34 + 2.0f * d43 - 2.0f * d44; - - out00 += k0 + d00 + d02 + d10 + d12 + d20 + d22 + d30 + d32 + d40 + d42; - out01 += k1 - d02 - d12 - d22 - d32 - d42; - out02 += 4.0f * k0 + d02 + d12 + d22 + d32 + d42; - out03 += 4.0f * k1 - d02 - d12 - d22 - d32 - d42 + d05 + d15 + d25 + d35 + d45; - - // Compute out10, out11, out12 and out13 - float out10 = d11 - d21 + 2.0f * d31 - 2.0f * d41; - float out11 = d11 - d21 + 2.0f * d31 - 2.0f * d41; - float out12 = d11 - d21 + 2.0f * d31 - 2.0f * d41; - float out13 = d11 - d21 + 2.0f * d31 - 2.0f * d41; - - k0 = d13 + d14 - d23 - d24 + 2.0f * d33 + 2.0f * d34 - 2.0f * d43 - 2.0f * d44; - k1 = 2.0f * d13 - 2.0f * d14 - 2.0f * d23 + 2.0f * d24 + 4.0f * d33 - 4.0f * d34 - 4.0f * d43 + 4.0f * d44; - - out10 += k0 + d10 + d12 - d20 - d22 + 2.0f * d30 + 2.0f * d32 - 2.0f * d40 - 2.0f * d42; - out11 += k1 - d12 + d22 - 2.0f * d32 + 2.0f * d42; - out12 += 4.0f * k0 + d12 - d22 + 2.0f * d32 - 2.0f * d42; - out13 += 4.0f * k1 - d12 + d15 + d22 - d25 - 2.0f * d32 + 2.0f * d35 + 2.0f * d42 - 2.0f * d45; - - // Compute out20, out21, out22 and out23 - float out20 = d11 + d21 + 4.0f * d31 + 4.0f * d41; - float out21 = d11 + d21 + 4.0f * d31 + 4.0f * d41; - float out22 = d11 + d21 + 4.0f * d31 + 4.0f * d41; - float out23 = d11 + d21 + 4.0f * d31 + 4.0f * d41; - - k0 = d13 + d14 + d23 + d24 + 4.0f * d33 + 4.0f * d34 + 4.0f * d43 + 4.0f * d44; - k1 = 2.0f * d13 - 2.0f * d14 + 2.0f * d23 - 2.0f * d24 + 8.0f * d33 - 8.0f * d34 + 8.0f * d43 - 8.0f * d44; - - out20 += k0 + d10 + d12 + d20 + d22 + 4.0f * d30 + 4.0f * d32 + 4.0f * d40 + 4.0f * d42; - out21 += k1 - d12 - d22 - 4.0f * d32 - 4.0f * d42; - out22 += 4.0f * k0 + d12 + d22 + 4.0f * d32 + 4.0f * d42; - out23 += 4.0f * k1 - d12 + d15 - d22 + d25 - 4.0f * d32 + 4.0f * d35 - 4.0f * d42 + 4.0f * d45; - - // Compute out30, out31, out32 and out33 - float out30 = d11 - d21 + 8.0f * d31 - 8.0f * d41 + d51; - float out31 = d11 - d21 + 8.0f * d31 - 8.0f * d41 + d51; - float out32 = d11 - d21 + 8.0f * d31 - 8.0f * d41 + d51; - float out33 = d11 - d21 + 8.0f * d31 - 8.0f * d41 + d51; - - k0 = d13 + d14 - d23 - d24 + 8.0f * d33 + 8.0f * d34 - 8.0f * d43 - 8.0f * d44 + d53 + d54; - k1 = 2.0f * d13 - 2.0f * d14 - 2.0f * d23 + 2.0f * d24 + 16.0f * d33 - 16.0f * d34 - 16.0f * d43 + 16.0f * d44 + 2.0f * d53 - 2.0f * d54; - - out30 += k0 + d10 + d12 - d20 - d22 + 8.0f * d30 + 8.0f * d32 - 8.0f * d40 - 8.0f * d42 + d50 + d52; - out31 += k1 - d12 + d22 - 8.0f * d32 + 8.0f * d42 - d52; - out32 += 4.0f * k0 + d12 - d22 + 8.0f * d32 - 8.0f * d42 + d52; - out33 += 4.0f * k1 - d12 + d15 + d22 - d25 - 8.0f * d32 + 8.0f * d35 + 8.0f * d42 - 8.0f * d45 - d52 + d55; -#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) - - int y_in = get_global_id(1); - int x_out = (y_in % NUM_TILES_X) * OUTPUT_TILE_W; - int y_out = (y_in / NUM_TILES_X) * OUTPUT_TILE_H; - int z_out = get_global_id(0); - -#if defined(HAS_BIAS) - // Add bias - Vector bias = CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); - - float b = (float) * ((__global float *)(vector_offset(&bias, z_out))); - - out00 += (float)b; - out01 += (float)b; - out02 += (float)b; - out03 += (float)b; -#endif // defined(HAS_BIAS) - - // Get output address - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x_out * sizeof(float) + y_out * dst_stride_y + z_out * dst_stride_z; - - // Store the output tile -#if defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) - *((__global float *)(dst_addr + 0 * dst_stride_y)) = out00; - *((__global float *)(dst_addr + 1 * dst_stride_y)) = out01; - *((__global float *)(dst_addr + 2 * dst_stride_y)) = out02; - *((__global float *)(dst_addr + 3 * dst_stride_y)) = out03; -#else // defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) - vstore4((float4)(out00, out01, out02, out03), 0, (__global float *)(dst_addr + 0 * dst_stride_y)); -#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) - -#if !defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) -#if defined(HAS_BIAS) - // Add bias - out10 += (float)b; - out11 += (float)b; - out12 += (float)b; - out13 += (float)b; - - out20 += (float)b; - out21 += (float)b; - out22 += (float)b; - out23 += (float)b; - - out30 += (float)b; - out31 += (float)b; - out32 += (float)b; - out33 += (float)b; -#endif // defined(HAS_BIAS) - vstore4((float4)(out10, out11, out12, out13), 0, (__global float *)(dst_addr + 1 * dst_stride_y)); - vstore4((float4)(out20, out21, out22, out23), 0, (__global float *)(dst_addr + 2 * dst_stride_y)); - vstore4((float4)(out30, out31, out32, out33), 0, (__global float *)(dst_addr + 3 * dst_stride_y)); -#endif // !defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) -} - -#if defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) -/** This OpenCL kernel performs Winograd output transform when the output tile is 2x1, the filter size 3x1 and the data layout is NCHW - * - * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 - * @note -DWINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_output_transform_2x1_3x1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst) -#if defined(HAS_BIAS) - , - VECTOR_DECLARATION(bias) -#endif // defined(HAS_BIAS) -) -{ - winograd_output_transform_2x2_3x3_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes -#if defined(HAS_BIAS) - , - bias_ptr, - bias_stride_x, - bias_step_x, - bias_offset_first_element_in_bytes -#endif // defined(HAS_BIAS) - ); -} - -/** This OpenCL kernel performs Winograd output transform when the output tile is 4x1, the filter size 3x1 and the data layout is NCHW - * - * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 - * @note -DWINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_output_transform_4x1_3x1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst) -#if defined(HAS_BIAS) - , - VECTOR_DECLARATION(bias) -#endif // defined(HAS_BIAS) -) -{ - winograd_output_transform_4x4_3x3_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes -#if defined(HAS_BIAS) - , - bias_ptr, - bias_stride_x, - bias_step_x, - bias_offset_first_element_in_bytes -#endif // defined(HAS_BIAS) - ); -} -#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) - -#if defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) -/** This OpenCL kernel performs Winograd output transform when the output tile is 1x2, the filter size 1x3 and the data layout is NCHW - * - * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 - * @note -DWINOGRAD_OUTPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_output_transform_1x2_1x3_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst) -#if defined(HAS_BIAS) - , - VECTOR_DECLARATION(bias) -#endif // defined(HAS_BIAS) -) -{ - winograd_output_transform_2x2_3x3_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes -#if defined(HAS_BIAS) - , - bias_ptr, - bias_stride_x, - bias_step_x, - bias_offset_first_element_in_bytes -#endif // defined(HAS_BIAS) - ); -} - -/** This OpenCL kernel performs Winograd output transform when the output tile is 1x4, the filter size 1x3 and the data layout is NCHW - * - * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 - * @note -DWINOGRAD_OUTPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_output_transform_1x4_1x3_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst) -#if defined(HAS_BIAS) - , - VECTOR_DECLARATION(bias) -#endif // defined(HAS_BIAS) -) -{ - winograd_output_transform_4x4_3x3_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes -#if defined(HAS_BIAS) - , - bias_ptr, - bias_stride_x, - bias_step_x, - bias_offset_first_element_in_bytes -#endif // defined(HAS_BIAS) - ); -} -#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) - -/** This OpenCL kernel performs Winograd output transform when the output tile is 4x4, the filter size 3x3 and the data layout is NHWC - * - * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] dst_size Size of the destination tensor, minus the last padding - */ -__kernel void winograd_output_transform_4x4_3x3_nhwc( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst), -#if defined(HAS_BIAS) - VECTOR_DECLARATION(bias), -#endif // defined(HAS_BIAS) - int dst_size) -{ - // Each thread stores a 4x4 tile - Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); - - const __global uchar *src_addr = tensor3D_offset(&src, 0, 0, 0); - - // Load the values across the 36 channels to compose the 6x6 tile - float d00 = *((__global float *)(src_addr + 0 * src_stride_z)); - float d01 = *((__global float *)(src_addr + 1 * src_stride_z)); - float d02 = *((__global float *)(src_addr + 2 * src_stride_z)); - float d03 = *((__global float *)(src_addr + 3 * src_stride_z)); - float d04 = *((__global float *)(src_addr + 4 * src_stride_z)); - float d05 = *((__global float *)(src_addr + 5 * src_stride_z)); - - float d10 = *((__global float *)(src_addr + 6 * src_stride_z)); - float d11 = *((__global float *)(src_addr + 7 * src_stride_z)); - float d12 = *((__global float *)(src_addr + 8 * src_stride_z)); - float d13 = *((__global float *)(src_addr + 9 * src_stride_z)); - float d14 = *((__global float *)(src_addr + 10 * src_stride_z)); - float d15 = *((__global float *)(src_addr + 11 * src_stride_z)); - - float d20 = *((__global float *)(src_addr + 12 * src_stride_z)); - float d21 = *((__global float *)(src_addr + 13 * src_stride_z)); - float d22 = *((__global float *)(src_addr + 14 * src_stride_z)); - float d23 = *((__global float *)(src_addr + 15 * src_stride_z)); - float d24 = *((__global float *)(src_addr + 16 * src_stride_z)); - float d25 = *((__global float *)(src_addr + 17 * src_stride_z)); - - float d30 = *((__global float *)(src_addr + 18 * src_stride_z)); - float d31 = *((__global float *)(src_addr + 19 * src_stride_z)); - float d32 = *((__global float *)(src_addr + 20 * src_stride_z)); - float d33 = *((__global float *)(src_addr + 21 * src_stride_z)); - float d34 = *((__global float *)(src_addr + 22 * src_stride_z)); - float d35 = *((__global float *)(src_addr + 23 * src_stride_z)); - - float d40 = *((__global float *)(src_addr + 24 * src_stride_z)); - float d41 = *((__global float *)(src_addr + 25 * src_stride_z)); - float d42 = *((__global float *)(src_addr + 26 * src_stride_z)); - float d43 = *((__global float *)(src_addr + 27 * src_stride_z)); - float d44 = *((__global float *)(src_addr + 28 * src_stride_z)); - float d45 = *((__global float *)(src_addr + 29 * src_stride_z)); - - float d50 = *((__global float *)(src_addr + 30 * src_stride_z)); - float d51 = *((__global float *)(src_addr + 31 * src_stride_z)); - float d52 = *((__global float *)(src_addr + 32 * src_stride_z)); - float d53 = *((__global float *)(src_addr + 33 * src_stride_z)); - float d54 = *((__global float *)(src_addr + 34 * src_stride_z)); - float d55 = *((__global float *)(src_addr + 35 * src_stride_z)); - - // Compute out00, out01, out02 and out03 - float out00 = d01 + d21 + d41 + d11 + d31; - float out01 = d01 + d21 + d41 + d11 + d31; - float out02 = d01 + d21 + d41 + d11 + d31; - float out03 = d01 + d21 + d41 + d11 + d31; - - float k0 = d03 + d04 + d13 + d14 + d23 + d24 + d33 + d34 + d43 + d44; - float k1 = 2.0f * d03 - 2.0f * d04 + 2.0f * d13 - 2.0f * d14 + 2.0f * d23 - 2.0f * d24 + 2.0f * d33 - 2.0f * d34 + 2.0f * d43 - 2.0f * d44; - - out00 += k0 + d00 + d02 + d10 + d12 + d20 + d22 + d30 + d32 + d40 + d42; - out01 += k1 - d02 - d12 - d22 - d32 - d42; - out02 += 4.0f * k0 + d02 + d12 + d22 + d32 + d42; - out03 += 4.0f * k1 - d02 - d12 - d22 - d32 - d42 + d05 + d15 + d25 + d35 + d45; - - // Compute out10, out11, out12 and out13 - float out10 = d11 - d21 + 2.0f * d31 - 2.0f * d41; - float out11 = d11 - d21 + 2.0f * d31 - 2.0f * d41; - float out12 = d11 - d21 + 2.0f * d31 - 2.0f * d41; - float out13 = d11 - d21 + 2.0f * d31 - 2.0f * d41; - - k0 = d13 + d14 - d23 - d24 + 2.0f * d33 + 2.0f * d34 - 2.0f * d43 - 2.0f * d44; - k1 = 2.0f * d13 - 2.0f * d14 - 2.0f * d23 + 2.0f * d24 + 4.0f * d33 - 4.0f * d34 - 4.0f * d43 + 4.0f * d44; - - out10 += k0 + d10 + d12 - d20 - d22 + 2.0f * d30 + 2.0f * d32 - 2.0f * d40 - 2.0f * d42; - out11 += k1 - d12 + d22 - 2.0f * d32 + 2.0f * d42; - out12 += 4.0f * k0 + d12 - d22 + 2.0f * d32 - 2.0f * d42; - out13 += 4.0f * k1 - d12 + d15 + d22 - d25 - 2.0f * d32 + 2.0f * d35 + 2.0f * d42 - 2.0f * d45; - - // Compute out20, out21, out22 and out23 - float out20 = d11 + d21 + 4.0f * d31 + 4.0f * d41; - float out21 = d11 + d21 + 4.0f * d31 + 4.0f * d41; - float out22 = d11 + d21 + 4.0f * d31 + 4.0f * d41; - float out23 = d11 + d21 + 4.0f * d31 + 4.0f * d41; - - k0 = d13 + d14 + d23 + d24 + 4.0f * d33 + 4.0f * d34 + 4.0f * d43 + 4.0f * d44; - k1 = 2.0f * d13 - 2.0f * d14 + 2.0f * d23 - 2.0f * d24 + 8.0f * d33 - 8.0f * d34 + 8.0f * d43 - 8.0f * d44; - - out20 += k0 + d10 + d12 + d20 + d22 + 4.0f * d30 + 4.0f * d32 + 4.0f * d40 + 4.0f * d42; - out21 += k1 - d12 - d22 - 4.0f * d32 - 4.0f * d42; - out22 += 4.0f * k0 + d12 + d22 + 4.0f * d32 + 4.0f * d42; - out23 += 4.0f * k1 - d12 + d15 - d22 + d25 - 4.0f * d32 + 4.0f * d35 - 4.0f * d42 + 4.0f * d45; - - // Compute out30, out31, out32 and out33 - float out30 = d11 - d21 + 8.0f * d31 - 8.0f * d41 + d51; - float out31 = d11 - d21 + 8.0f * d31 - 8.0f * d41 + d51; - float out32 = d11 - d21 + 8.0f * d31 - 8.0f * d41 + d51; - float out33 = d11 - d21 + 8.0f * d31 - 8.0f * d41 + d51; - - k0 = d13 + d14 - d23 - d24 + 8.0f * d33 + 8.0f * d34 - 8.0f * d43 - 8.0f * d44 + d53 + d54; - k1 = 2.0f * d13 - 2.0f * d14 - 2.0f * d23 + 2.0f * d24 + 16.0f * d33 - 16.0f * d34 - 16.0f * d43 + 16.0f * d44 + 2.0f * d53 - 2.0f * d54; - - out30 += k0 + d10 + d12 - d20 - d22 + 8.0f * d30 + 8.0f * d32 - 8.0f * d40 - 8.0f * d42 + d50 + d52; - out31 += k1 - d12 + d22 - 8.0f * d32 + 8.0f * d42 - d52; - out32 += 4.0f * k0 + d12 - d22 + 8.0f * d32 - 8.0f * d42 + d52; - out33 += 4.0f * k1 - d12 + d15 + d22 - d25 - 8.0f * d32 + 8.0f * d35 + 8.0f * d42 - 8.0f * d45 - d52 + d55; - - int y_in = get_global_id(1); - int x_out = get_global_id(0); - int y_out = (y_in % NUM_TILES_X) * 4; - int z_out = (y_in / NUM_TILES_X) * 4; - -#if defined(HAS_BIAS) - // Add bias - Vector bias = CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); - - float b = (float) * ((__global float *)(vector_offset(&bias, z_out))); - - out00 += (float)b; - out01 += (float)b; - out02 += (float)b; - out03 += (float)b; - - out10 += (float)b; - out11 += (float)b; - out12 += (float)b; - out13 += (float)b; - - out20 += (float)b; - out21 += (float)b; - out22 += (float)b; - out23 += (float)b; - - out30 += (float)b; - out31 += (float)b; - out32 += (float)b; - out33 += (float)b; - -#endif // defined(HAS_BIAS) - - // Get output address - int4 offset = (int4)(dst_offset_first_element_in_bytes + x_out * sizeof(float) + y_out * dst_stride_y + z_out * dst_stride_z); - offset = min(offset + (int4)(0, 1, 2, 3) * (int4)dst_stride_z, dst_size); // If address is beyond the last plane, clamp it to dst_size (which points to the last padding). - int4 mult_y = min(dst_size - offset, 1); // If out of bound, we don't want to increase dst_stride_y, so we set the multiplier to 0. It will be 1 otherwise. - - // Store the 4x4 output tile - *((__global float *)(dst_ptr + mult_y.s0 * 0 * dst_stride_y + offset.s0)) = out00; - *((__global float *)(dst_ptr + mult_y.s0 * 1 * dst_stride_y + offset.s0)) = out01; - *((__global float *)(dst_ptr + mult_y.s0 * 2 * dst_stride_y + offset.s0)) = out02; - *((__global float *)(dst_ptr + mult_y.s0 * 3 * dst_stride_y + offset.s0)) = out03; - *((__global float *)(dst_ptr + mult_y.s1 * 0 * dst_stride_y + offset.s1)) = out10; - *((__global float *)(dst_ptr + mult_y.s1 * 1 * dst_stride_y + offset.s1)) = out11; - *((__global float *)(dst_ptr + mult_y.s1 * 2 * dst_stride_y + offset.s1)) = out12; - *((__global float *)(dst_ptr + mult_y.s1 * 3 * dst_stride_y + offset.s1)) = out13; - *((__global float *)(dst_ptr + mult_y.s2 * 0 * dst_stride_y + offset.s2)) = out20; - *((__global float *)(dst_ptr + mult_y.s2 * 1 * dst_stride_y + offset.s2)) = out21; - *((__global float *)(dst_ptr + mult_y.s2 * 2 * dst_stride_y + offset.s2)) = out22; - *((__global float *)(dst_ptr + mult_y.s2 * 3 * dst_stride_y + offset.s2)) = out23; - *((__global float *)(dst_ptr + mult_y.s3 * 0 * dst_stride_y + offset.s3)) = out30; - *((__global float *)(dst_ptr + mult_y.s3 * 1 * dst_stride_y + offset.s3)) = out31; - *((__global float *)(dst_ptr + mult_y.s3 * 2 * dst_stride_y + offset.s3)) = out32; - *((__global float *)(dst_ptr + mult_y.s3 * 3 * dst_stride_y + offset.s3)) = out33; -} - -#define COMPUTE_TMP_COL(col, d0, d1, d2, d3, d4, d5, d6, d7, comm_fact) \ - ({ \ - comm_fact.s0 = d1 + d2; \ - comm_fact.s1 = d3 + d4; \ - comm_fact.s2 = d5 + d6; \ - \ - col.s0 = comm_fact.s0 + comm_fact.s1 + 8.f * comm_fact.s2 + d0; \ - col.s2 = comm_fact.s0 + 4.f * comm_fact.s1 + 2.f * comm_fact.s2; \ - \ - comm_fact.s0 = d1 - d2; \ - comm_fact.s1 = d3 - d4; \ - comm_fact.s2 = d5 - d6; \ - \ - col.s1 = comm_fact.s0 + 2.f * comm_fact.s1 + 4.f * comm_fact.s2; \ - col.s3 = comm_fact.s0 + 8.f * comm_fact.s1 + comm_fact.s2 + d7; \ - }) - -/** This OpenCL kernel performs Winograd output transform when the output tile is 4x4, the filter size 5x5 and the data layout is NCHW - * - * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_output_transform_4x4_5x5_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst) -#if defined(HAS_BIAS) - , - VECTOR_DECLARATION(bias) -#endif // defined(HAS_BIAS) -) -{ - // Each thread stores a 4x4 tile - Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); - - const __global uchar *src_addr = tensor3D_offset(&src, 0, 0, 0); - - // Load the values across the 64 channels to compose the 8x8 input tile - float d00 = *((__global float *)(src_addr + 0 * src_stride_z)); - float d01 = *((__global float *)(src_addr + 1 * src_stride_z)); - float d02 = *((__global float *)(src_addr + 2 * src_stride_z)); - float d03 = *((__global float *)(src_addr + 3 * src_stride_z)); - float d04 = *((__global float *)(src_addr + 4 * src_stride_z)); - float d05 = *((__global float *)(src_addr + 5 * src_stride_z)); - float d06 = *((__global float *)(src_addr + 6 * src_stride_z)); - float d07 = *((__global float *)(src_addr + 7 * src_stride_z)); - - float d10 = *((__global float *)(src_addr + 8 * src_stride_z)); - float d11 = *((__global float *)(src_addr + 9 * src_stride_z)); - float d12 = *((__global float *)(src_addr + 10 * src_stride_z)); - float d13 = *((__global float *)(src_addr + 11 * src_stride_z)); - float d14 = *((__global float *)(src_addr + 12 * src_stride_z)); - float d15 = *((__global float *)(src_addr + 13 * src_stride_z)); - float d16 = *((__global float *)(src_addr + 14 * src_stride_z)); - float d17 = *((__global float *)(src_addr + 15 * src_stride_z)); - - float d20 = *((__global float *)(src_addr + 16 * src_stride_z)); - float d21 = *((__global float *)(src_addr + 17 * src_stride_z)); - float d22 = *((__global float *)(src_addr + 18 * src_stride_z)); - float d23 = *((__global float *)(src_addr + 19 * src_stride_z)); - float d24 = *((__global float *)(src_addr + 20 * src_stride_z)); - float d25 = *((__global float *)(src_addr + 21 * src_stride_z)); - float d26 = *((__global float *)(src_addr + 22 * src_stride_z)); - float d27 = *((__global float *)(src_addr + 23 * src_stride_z)); - - float d30 = *((__global float *)(src_addr + 24 * src_stride_z)); - float d31 = *((__global float *)(src_addr + 25 * src_stride_z)); - float d32 = *((__global float *)(src_addr + 26 * src_stride_z)); - float d33 = *((__global float *)(src_addr + 27 * src_stride_z)); - float d34 = *((__global float *)(src_addr + 28 * src_stride_z)); - float d35 = *((__global float *)(src_addr + 29 * src_stride_z)); - float d36 = *((__global float *)(src_addr + 30 * src_stride_z)); - float d37 = *((__global float *)(src_addr + 31 * src_stride_z)); - - float d40 = *((__global float *)(src_addr + 32 * src_stride_z)); - float d41 = *((__global float *)(src_addr + 33 * src_stride_z)); - float d42 = *((__global float *)(src_addr + 34 * src_stride_z)); - float d43 = *((__global float *)(src_addr + 35 * src_stride_z)); - float d44 = *((__global float *)(src_addr + 36 * src_stride_z)); - float d45 = *((__global float *)(src_addr + 37 * src_stride_z)); - float d46 = *((__global float *)(src_addr + 38 * src_stride_z)); - float d47 = *((__global float *)(src_addr + 39 * src_stride_z)); - - float d50 = *((__global float *)(src_addr + 40 * src_stride_z)); - float d51 = *((__global float *)(src_addr + 41 * src_stride_z)); - float d52 = *((__global float *)(src_addr + 42 * src_stride_z)); - float d53 = *((__global float *)(src_addr + 43 * src_stride_z)); - float d54 = *((__global float *)(src_addr + 44 * src_stride_z)); - float d55 = *((__global float *)(src_addr + 45 * src_stride_z)); - float d56 = *((__global float *)(src_addr + 46 * src_stride_z)); - float d57 = *((__global float *)(src_addr + 47 * src_stride_z)); - - float d60 = *((__global float *)(src_addr + 48 * src_stride_z)); - float d61 = *((__global float *)(src_addr + 49 * src_stride_z)); - float d62 = *((__global float *)(src_addr + 50 * src_stride_z)); - float d63 = *((__global float *)(src_addr + 51 * src_stride_z)); - float d64 = *((__global float *)(src_addr + 52 * src_stride_z)); - float d65 = *((__global float *)(src_addr + 53 * src_stride_z)); - float d66 = *((__global float *)(src_addr + 54 * src_stride_z)); - float d67 = *((__global float *)(src_addr + 55 * src_stride_z)); - - float d70 = *((__global float *)(src_addr + 56 * src_stride_z)); - float d71 = *((__global float *)(src_addr + 57 * src_stride_z)); - float d72 = *((__global float *)(src_addr + 58 * src_stride_z)); - float d73 = *((__global float *)(src_addr + 59 * src_stride_z)); - float d74 = *((__global float *)(src_addr + 60 * src_stride_z)); - float d75 = *((__global float *)(src_addr + 61 * src_stride_z)); - float d76 = *((__global float *)(src_addr + 62 * src_stride_z)); - float d77 = *((__global float *)(src_addr + 63 * src_stride_z)); - - // Compute the 8x4 intermediate tensor - float4 comm_fact0, comm_fact1, comm_fact2; - float4 tmp_col0, tmp_col1, tmp_col2, tmp_col3, tmp_col4, tmp_col5, tmp_col6, tmp_col7; - - COMPUTE_TMP_COL(tmp_col0, d00, d10, d20, d30, d40, d50, d60, d70, comm_fact0); - COMPUTE_TMP_COL(tmp_col1, d01, d11, d21, d31, d41, d51, d61, d71, comm_fact0); - COMPUTE_TMP_COL(tmp_col2, d02, d12, d22, d32, d42, d52, d62, d72, comm_fact0); - COMPUTE_TMP_COL(tmp_col3, d03, d13, d23, d33, d43, d53, d63, d73, comm_fact0); - COMPUTE_TMP_COL(tmp_col4, d04, d14, d24, d34, d44, d54, d64, d74, comm_fact0); - COMPUTE_TMP_COL(tmp_col5, d05, d15, d25, d35, d45, d55, d65, d75, comm_fact0); - COMPUTE_TMP_COL(tmp_col6, d06, d16, d26, d36, d46, d56, d66, d76, comm_fact0); - COMPUTE_TMP_COL(tmp_col7, d07, d17, d27, d37, d47, d57, d67, d77, comm_fact0); - - // Compute the 4x4 output tile - comm_fact0 = tmp_col1 + tmp_col2; - comm_fact1 = tmp_col3 + tmp_col4; - comm_fact2 = tmp_col5 + tmp_col6; - - float4 out_col0 = comm_fact0 + comm_fact1 + 8.f * comm_fact2 + tmp_col0; - float4 out_col2 = comm_fact0 + 4.f * comm_fact1 + 2.f * comm_fact2; - - comm_fact0 = tmp_col1 - tmp_col2; - comm_fact1 = tmp_col3 - tmp_col4; - comm_fact2 = tmp_col5 - tmp_col6; - - float4 out_col1 = comm_fact0 + 2.f * comm_fact1 + 4.f * comm_fact2; - float4 out_col3 = comm_fact0 + 8.f * comm_fact1 + comm_fact2 + tmp_col7; - - int y_in = get_global_id(1); - int x_out = (y_in % NUM_TILES_X) * 4; - int y_out = (y_in / NUM_TILES_X) * 4; - int z_out = get_global_id(0); - -#if defined(HAS_BIAS) - // Add bias - Vector bias = CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); - - float b = (float) * ((__global float *)(vector_offset(&bias, z_out))); - - out_col0 += (float4)b; - out_col1 += (float4)b; - out_col2 += (float4)b; - out_col3 += (float4)b; -#endif // defined(HAS_BIAS) - - // Get output address - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x_out * dst_stride_x + y_out * dst_stride_y + z_out * dst_stride_z; - - // Store the 4x4 output tile - *(__global float *)(dst_addr + 0 * dst_stride_x + 0 * dst_stride_y) = out_col0.s0; - *(__global float *)(dst_addr + 1 * dst_stride_x + 0 * dst_stride_y) = out_col1.s0; - *(__global float *)(dst_addr + 2 * dst_stride_x + 0 * dst_stride_y) = out_col2.s0; - *(__global float *)(dst_addr + 3 * dst_stride_x + 0 * dst_stride_y) = out_col3.s0; - *(__global float *)(dst_addr + 0 * dst_stride_x + 1 * dst_stride_y) = out_col0.s1; - *(__global float *)(dst_addr + 1 * dst_stride_x + 1 * dst_stride_y) = out_col1.s1; - *(__global float *)(dst_addr + 2 * dst_stride_x + 1 * dst_stride_y) = out_col2.s1; - *(__global float *)(dst_addr + 3 * dst_stride_x + 1 * dst_stride_y) = out_col3.s1; - *(__global float *)(dst_addr + 0 * dst_stride_x + 2 * dst_stride_y) = out_col0.s2; - *(__global float *)(dst_addr + 1 * dst_stride_x + 2 * dst_stride_y) = out_col1.s2; - *(__global float *)(dst_addr + 2 * dst_stride_x + 2 * dst_stride_y) = out_col2.s2; - *(__global float *)(dst_addr + 3 * dst_stride_x + 2 * dst_stride_y) = out_col3.s2; - *(__global float *)(dst_addr + 0 * dst_stride_x + 3 * dst_stride_y) = out_col0.s3; - *(__global float *)(dst_addr + 1 * dst_stride_x + 3 * dst_stride_y) = out_col1.s3; - *(__global float *)(dst_addr + 2 * dst_stride_x + 3 * dst_stride_y) = out_col2.s3; - *(__global float *)(dst_addr + 3 * dst_stride_x + 3 * dst_stride_y) = out_col3.s3; -} - -/** This OpenCL kernel performs Winograd output transform when the output tile is 4x4, the filter size 5x5 and the data layout is NHWC - * - * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void winograd_output_transform_4x4_5x5_nhwc( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst), -#if defined(HAS_BIAS) - VECTOR_DECLARATION(bias), -#endif // defined(HAS_BIAS) - int dst_size) -{ - // Each thread stores a 4x4 tile - Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); - - const __global uchar *src_addr = tensor3D_offset(&src, 0, 0, 0); - - // Load the values across the 64 channels to compose the 8x8 input tile - float d00 = *((__global float *)(src_addr + 0 * src_stride_z)); - float d01 = *((__global float *)(src_addr + 1 * src_stride_z)); - float d02 = *((__global float *)(src_addr + 2 * src_stride_z)); - float d03 = *((__global float *)(src_addr + 3 * src_stride_z)); - float d04 = *((__global float *)(src_addr + 4 * src_stride_z)); - float d05 = *((__global float *)(src_addr + 5 * src_stride_z)); - float d06 = *((__global float *)(src_addr + 6 * src_stride_z)); - float d07 = *((__global float *)(src_addr + 7 * src_stride_z)); - - float d10 = *((__global float *)(src_addr + 8 * src_stride_z)); - float d11 = *((__global float *)(src_addr + 9 * src_stride_z)); - float d12 = *((__global float *)(src_addr + 10 * src_stride_z)); - float d13 = *((__global float *)(src_addr + 11 * src_stride_z)); - float d14 = *((__global float *)(src_addr + 12 * src_stride_z)); - float d15 = *((__global float *)(src_addr + 13 * src_stride_z)); - float d16 = *((__global float *)(src_addr + 14 * src_stride_z)); - float d17 = *((__global float *)(src_addr + 15 * src_stride_z)); - - float d20 = *((__global float *)(src_addr + 16 * src_stride_z)); - float d21 = *((__global float *)(src_addr + 17 * src_stride_z)); - float d22 = *((__global float *)(src_addr + 18 * src_stride_z)); - float d23 = *((__global float *)(src_addr + 19 * src_stride_z)); - float d24 = *((__global float *)(src_addr + 20 * src_stride_z)); - float d25 = *((__global float *)(src_addr + 21 * src_stride_z)); - float d26 = *((__global float *)(src_addr + 22 * src_stride_z)); - float d27 = *((__global float *)(src_addr + 23 * src_stride_z)); - - float d30 = *((__global float *)(src_addr + 24 * src_stride_z)); - float d31 = *((__global float *)(src_addr + 25 * src_stride_z)); - float d32 = *((__global float *)(src_addr + 26 * src_stride_z)); - float d33 = *((__global float *)(src_addr + 27 * src_stride_z)); - float d34 = *((__global float *)(src_addr + 28 * src_stride_z)); - float d35 = *((__global float *)(src_addr + 29 * src_stride_z)); - float d36 = *((__global float *)(src_addr + 30 * src_stride_z)); - float d37 = *((__global float *)(src_addr + 31 * src_stride_z)); - - float d40 = *((__global float *)(src_addr + 32 * src_stride_z)); - float d41 = *((__global float *)(src_addr + 33 * src_stride_z)); - float d42 = *((__global float *)(src_addr + 34 * src_stride_z)); - float d43 = *((__global float *)(src_addr + 35 * src_stride_z)); - float d44 = *((__global float *)(src_addr + 36 * src_stride_z)); - float d45 = *((__global float *)(src_addr + 37 * src_stride_z)); - float d46 = *((__global float *)(src_addr + 38 * src_stride_z)); - float d47 = *((__global float *)(src_addr + 39 * src_stride_z)); - - float d50 = *((__global float *)(src_addr + 40 * src_stride_z)); - float d51 = *((__global float *)(src_addr + 41 * src_stride_z)); - float d52 = *((__global float *)(src_addr + 42 * src_stride_z)); - float d53 = *((__global float *)(src_addr + 43 * src_stride_z)); - float d54 = *((__global float *)(src_addr + 44 * src_stride_z)); - float d55 = *((__global float *)(src_addr + 45 * src_stride_z)); - float d56 = *((__global float *)(src_addr + 46 * src_stride_z)); - float d57 = *((__global float *)(src_addr + 47 * src_stride_z)); - - float d60 = *((__global float *)(src_addr + 48 * src_stride_z)); - float d61 = *((__global float *)(src_addr + 49 * src_stride_z)); - float d62 = *((__global float *)(src_addr + 50 * src_stride_z)); - float d63 = *((__global float *)(src_addr + 51 * src_stride_z)); - float d64 = *((__global float *)(src_addr + 52 * src_stride_z)); - float d65 = *((__global float *)(src_addr + 53 * src_stride_z)); - float d66 = *((__global float *)(src_addr + 54 * src_stride_z)); - float d67 = *((__global float *)(src_addr + 55 * src_stride_z)); - - float d70 = *((__global float *)(src_addr + 56 * src_stride_z)); - float d71 = *((__global float *)(src_addr + 57 * src_stride_z)); - float d72 = *((__global float *)(src_addr + 58 * src_stride_z)); - float d73 = *((__global float *)(src_addr + 59 * src_stride_z)); - float d74 = *((__global float *)(src_addr + 60 * src_stride_z)); - float d75 = *((__global float *)(src_addr + 61 * src_stride_z)); - float d76 = *((__global float *)(src_addr + 62 * src_stride_z)); - float d77 = *((__global float *)(src_addr + 63 * src_stride_z)); - - // Compute the 8x4 intermediate tensor - float4 comm_fact0, comm_fact1, comm_fact2; - float4 tmp_col0, tmp_col1, tmp_col2, tmp_col3, tmp_col4, tmp_col5, tmp_col6, tmp_col7; - - COMPUTE_TMP_COL(tmp_col0, d00, d10, d20, d30, d40, d50, d60, d70, comm_fact0); - COMPUTE_TMP_COL(tmp_col1, d01, d11, d21, d31, d41, d51, d61, d71, comm_fact0); - COMPUTE_TMP_COL(tmp_col2, d02, d12, d22, d32, d42, d52, d62, d72, comm_fact0); - COMPUTE_TMP_COL(tmp_col3, d03, d13, d23, d33, d43, d53, d63, d73, comm_fact0); - COMPUTE_TMP_COL(tmp_col4, d04, d14, d24, d34, d44, d54, d64, d74, comm_fact0); - COMPUTE_TMP_COL(tmp_col5, d05, d15, d25, d35, d45, d55, d65, d75, comm_fact0); - COMPUTE_TMP_COL(tmp_col6, d06, d16, d26, d36, d46, d56, d66, d76, comm_fact0); - COMPUTE_TMP_COL(tmp_col7, d07, d17, d27, d37, d47, d57, d67, d77, comm_fact0); - - // Compute the 4x4 output tile - comm_fact0 = tmp_col1 + tmp_col2; - comm_fact1 = tmp_col3 + tmp_col4; - comm_fact2 = tmp_col5 + tmp_col6; - - float4 out_col0 = comm_fact0 + comm_fact1 + 8.f * comm_fact2 + tmp_col0; - float4 out_col2 = comm_fact0 + 4.f * comm_fact1 + 2.f * comm_fact2; - - comm_fact0 = tmp_col1 - tmp_col2; - comm_fact1 = tmp_col3 - tmp_col4; - comm_fact2 = tmp_col5 - tmp_col6; - - float4 out_col1 = comm_fact0 + 2.f * comm_fact1 + 4.f * comm_fact2; - float4 out_col3 = comm_fact0 + 8.f * comm_fact1 + comm_fact2 + tmp_col7; - - int y_in = get_global_id(1); - int x_out = get_global_id(0); - int y_out = (y_in % NUM_TILES_X) * 4; - int z_out = (y_in / NUM_TILES_X) * 4; - -#if defined(HAS_BIAS) - // Add bias - Vector bias = CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); - - float b = (float) * ((__global float *)(vector_offset(&bias, z_out))); - - out_col0 += (float4)b; - out_col1 += (float4)b; - out_col2 += (float4)b; - out_col3 += (float4)b; -#endif // defined(HAS_BIAS) - - // Get output address - int4 offset = (int4)(dst_offset_first_element_in_bytes + x_out * sizeof(float) + y_out * dst_stride_y + z_out * dst_stride_z); - offset = min(offset + (int4)(0, 1, 2, 3) * (int4)dst_stride_z, dst_size); // If address is beyond the last plane, clamp it to dst_size (which points to the last padding). - int4 mult_y = min(dst_size - offset, 1); // If out of bound, we don't want to increase dst_stride_y, so we set the multiplier to 0. It will be 1 otherwise. - - // Store the 4x4 output tile - *(__global float *)(dst_ptr + mult_y.s0 * 0 * dst_stride_y + offset.s0) = out_col0.s0; - *(__global float *)(dst_ptr + mult_y.s0 * 1 * dst_stride_y + offset.s0) = out_col1.s0; - *(__global float *)(dst_ptr + mult_y.s0 * 2 * dst_stride_y + offset.s0) = out_col2.s0; - *(__global float *)(dst_ptr + mult_y.s0 * 3 * dst_stride_y + offset.s0) = out_col3.s0; - *(__global float *)(dst_ptr + mult_y.s0 * 0 * dst_stride_y + offset.s1) = out_col0.s1; - *(__global float *)(dst_ptr + mult_y.s0 * 1 * dst_stride_y + offset.s1) = out_col1.s1; - *(__global float *)(dst_ptr + mult_y.s0 * 2 * dst_stride_y + offset.s1) = out_col2.s1; - *(__global float *)(dst_ptr + mult_y.s0 * 3 * dst_stride_y + offset.s1) = out_col3.s1; - *(__global float *)(dst_ptr + mult_y.s0 * 0 * dst_stride_y + offset.s2) = out_col0.s2; - *(__global float *)(dst_ptr + mult_y.s0 * 1 * dst_stride_y + offset.s2) = out_col1.s2; - *(__global float *)(dst_ptr + mult_y.s0 * 2 * dst_stride_y + offset.s2) = out_col2.s2; - *(__global float *)(dst_ptr + mult_y.s0 * 3 * dst_stride_y + offset.s2) = out_col3.s2; - *(__global float *)(dst_ptr + mult_y.s0 * 0 * dst_stride_y + offset.s3) = out_col0.s3; - *(__global float *)(dst_ptr + mult_y.s0 * 1 * dst_stride_y + offset.s3) = out_col1.s3; - *(__global float *)(dst_ptr + mult_y.s0 * 2 * dst_stride_y + offset.s3) = out_col2.s3; - *(__global float *)(dst_ptr + mult_y.s0 * 3 * dst_stride_y + offset.s3) = out_col3.s3; -} -#endif // defined(NUM_TILES_X) && defined(OUTPUT_TILE_W) && defined(OUTPUT_TILE_H) diff --git a/src/core/CL/cl_kernels/winograd_filter_transform.cl b/src/core/CL/cl_kernels/winograd_filter_transform.cl new file mode 100644 index 0000000000..1ee6981a07 --- /dev/null +++ b/src/core/CL/cl_kernels/winograd_filter_transform.cl @@ -0,0 +1,1155 @@ +/* + * Copyright (c) 2018 ARM Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#include "helpers.h" + +#if defined(SRC_DIM_Z) + +/** This OpenCL kernel performs Winograd filter transform 3x3/3x1/1x3 when the data layout is NCHW and the output tile is 2x2/2x1/1x2 + * + * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 + * @note If this kernel is used to perform Winograd filter transform 3x1, -DWINOGRAD_FILTER_TRANSFORM_HORIZONTAL has to be passed at compile time + * @note If this kernel is used to perform Winograd filter transform 1x3, -DWINOGRAD_FILTER_TRANSFORM_VERTICAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) + * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_filter_transform_2x2_3x3_nchw( + TENSOR4D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + Tensor4D src = CONVERT_TO_TENSOR4D_STRUCT(src, SRC_DIM_Z); + + const __global uchar *src_addr = tensor4D_offset(&src, 0, 0, 0, 0); + + // Load the values from the input tensor +#if defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) + float3 w0 = vload3(0, (__global float *)(src_addr)); +#elif defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) + float3 w0 = (float3)(*((__global float *)(src_addr + 0 * src_stride_y)), + *((__global float *)(src_addr + 1 * src_stride_y)), + *((__global float *)(src_addr + 2 * src_stride_y))); +#else // defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) + float3 w0 = vload3(0, (__global float *)(src_addr + 0 * src_stride_y)); + float3 w1 = vload3(0, (__global float *)(src_addr + 1 * src_stride_y)); + float3 w2 = vload3(0, (__global float *)(src_addr + 2 * src_stride_y)); +#endif // defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) + + // Row 0 + float4 out0 = 0.0f; + out0.s0 = (w0.s0); + out0.s1 = (w0.s0 + w0.s1 + w0.s2) * 0.5f; + out0.s2 = (w0.s0 + w0.s2 - w0.s1) * 0.5f; + out0.s3 = (w0.s2); + +#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) + // Row 1 + float4 out1 = 0.0f; + out1.s0 = (w0.s0 + w1.s0 + w2.s0) * 0.5f; + out1.s1 = (w0.s0 + w1.s0 + w2.s0 + w0.s1 + w1.s1 + w2.s1 + w0.s2 + w1.s2 + w2.s2) * 0.25f; + out1.s2 = (w0.s0 + w1.s0 + w2.s0 + w0.s2 + w1.s2 + w2.s2 - w0.s1 - w1.s1 - w2.s1) * 0.25f; + out1.s3 = (w0.s2 + w1.s2 + w2.s2) * 0.5f; + + // Row 2 + float4 out2 = 0.0f; + out2.s0 = (w0.s0 + w2.s0 - w1.s0) * 0.5f; + out2.s1 = (w0.s0 + w2.s0 + w0.s1 + w2.s1 + w0.s2 + w2.s2 - w1.s0 - w1.s1 - w1.s2) * 0.25f; + out2.s2 = (w0.s0 + w2.s0 + w1.s1 + w0.s2 + w2.s2 - w1.s0 - w0.s1 - w2.s1 - w1.s2) * 0.25f; + out2.s3 = (w0.s2 + w2.s2 - w1.s2) * 0.5f; + + // Row 3 + float4 out3 = 0.0f; + out3.s0 = (w2.s0); + out3.s1 = (w2.s0 + w2.s1 + w2.s2) * 0.5f; + out3.s2 = (w2.s0 + w2.s2 - w2.s1) * 0.5f; + out3.s3 = (w2.s2); +#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) + + int z = get_global_id(2); + int x0 = z / SRC_DIM_Z; // idx filter + int y0 = z % SRC_DIM_Z; // idx channel + + // Get output address + __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x0 * dst_stride_x + y0 * dst_stride_y; + + // Store the values across the channels + // 16 channels for 3x3 kernels + // 4 channels for 3x1 or 1x3 kernels + *(__global float *)(dst_addr + 0 * dst_stride_z) = out0.s0; + *(__global float *)(dst_addr + 1 * dst_stride_z) = out0.s1; + *(__global float *)(dst_addr + 2 * dst_stride_z) = out0.s2; + *(__global float *)(dst_addr + 3 * dst_stride_z) = out0.s3; + +#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) + *(__global float *)(dst_addr + 4 * dst_stride_z) = out1.s0; + *(__global float *)(dst_addr + 5 * dst_stride_z) = out1.s1; + *(__global float *)(dst_addr + 6 * dst_stride_z) = out1.s2; + *(__global float *)(dst_addr + 7 * dst_stride_z) = out1.s3; + *(__global float *)(dst_addr + 8 * dst_stride_z) = out2.s0; + *(__global float *)(dst_addr + 9 * dst_stride_z) = out2.s1; + *(__global float *)(dst_addr + 10 * dst_stride_z) = out2.s2; + *(__global float *)(dst_addr + 11 * dst_stride_z) = out2.s3; + *(__global float *)(dst_addr + 12 * dst_stride_z) = out3.s0; + *(__global float *)(dst_addr + 13 * dst_stride_z) = out3.s1; + *(__global float *)(dst_addr + 14 * dst_stride_z) = out3.s2; + *(__global float *)(dst_addr + 15 * dst_stride_z) = out3.s3; +#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) +} + +/** This OpenCL kernel performs Winograd filter transform 3x3/3x1/1x3 when the data layout is NCHW and the output tile is 4x4/4x1/1x4 + * + * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 + * @note If this kernel is used to perform Winograd filter transform 3x1, -DWINOGRAD_FILTER_TRANSFORM_HORIZONTAL has to be passed at compile time + * @note If this kernel is used to perform Winograd filter transform 1x3, -DWINOGRAD_FILTER_TRANSFORM_VERTICAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) + * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_filter_transform_4x4_3x3_nchw( + TENSOR4D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + Tensor4D src = CONVERT_TO_TENSOR4D_STRUCT(src, SRC_DIM_Z); + + const __global uchar *src_addr = tensor4D_offset(&src, 0, 0, 0, 0); + + // Load the values from the input tensor +#if defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) + float3 w0 = vload3(0, (__global float *)(src_addr)); +#elif defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) + float3 w0 = (float3)(*((__global float *)(src_addr + 0 * src_stride_y)), + *((__global float *)(src_addr + 1 * src_stride_y)), + *((__global float *)(src_addr + 2 * src_stride_y))); +#else // defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) + float3 w0 = vload3(0, (__global float *)(src_addr + 0 * src_stride_y)); + float3 w1 = vload3(0, (__global float *)(src_addr + 1 * src_stride_y)); + float3 w2 = vload3(0, (__global float *)(src_addr + 2 * src_stride_y)); +#endif // defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) + + // Row 0 + float8 out0 = 0.0f; + out0.s0 = (w0.s0) / 16.f; + out0.s1 = (-w0.s0 - w0.s1 - w0.s2) / 24.f; + out0.s2 = (-w0.s0 + w0.s1 - w0.s2) / 24.f; + out0.s3 = (w0.s0 + 2.f * w0.s1 + 4.f * w0.s2) / 96.f; + out0.s4 = (w0.s0 - 2.f * w0.s1 + 4.f * w0.s2) / 96.f; + out0.s5 = (w0.s2) / 4.f; + +#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) + // Row 1 + float8 out1 = 0.0f; + out1.s0 = (-w0.s0 - w1.s0 - w2.s0) / 24.f; + out1.s1 = (w0.s0 + w1.s0 + w2.s0 + w0.s1 + w1.s1 + w2.s1 + w0.s2 + w1.s2 + w2.s2) / 36.f; + out1.s2 = (w0.s0 + w1.s0 + w2.s0 - w0.s1 - w1.s1 - w2.s1 + w0.s2 + w1.s2 + w2.s2) / 36.f; + out1.s3 = (-w0.s0 - w1.s0 - w2.s0 + 2.f * (-w0.s1 - w1.s1 - w2.s1) + 4.f * (-w0.s2 - w1.s2 - w2.s2)) / 144.f; + out1.s4 = (-w0.s0 - w1.s0 - w2.s0 + 2.f * (w0.s1 + w1.s1 + w2.s1) + 4.f * (-w0.s2 - w1.s2 - w2.s2)) / 144.f; + out1.s5 = (-w0.s2 - w1.s2 - w2.s2) / 6.f; + + // Row 2 + float8 out2 = 0.0f; + out2.s0 = (-w0.s0 + w1.s0 - w2.s0) / 24.f; + out2.s1 = (w0.s0 - w1.s0 + w2.s0 + w0.s1 - w1.s1 + w2.s1 + w0.s2 - w1.s2 + w2.s2) / 36.f; + out2.s2 = (w0.s0 - w1.s0 + w2.s0 - w0.s1 + w1.s1 - w2.s1 + w0.s2 - w1.s2 + w2.s2) / 36.f; + out2.s3 = (-w0.s0 + w1.s0 - w2.s0 + 2.f * (-w0.s1 + w1.s1 - w2.s1) + 4.f * (-w0.s2 + w1.s2 - w2.s2)) / 144.f; + out2.s4 = (-w0.s0 + w1.s0 - w2.s0 + 2.f * (w0.s1 - w1.s1 + w2.s1) + 4.f * (-w0.s2 + w1.s2 - w2.s2)) / 144.f; + out2.s5 = (-w0.s2 + w1.s2 - w2.s2) / 6.f; + + // Row 3 + float8 out3 = 0.0f; + out3.s0 = (w0.s0 + 2.f * w1.s0 + 4.f * w2.s0) / 96.f; + out3.s1 = (-w0.s0 - 2.f * w1.s0 - 4.f * w2.s0 - w0.s1 - 2.f * w1.s1 - 4.f * w2.s1 - w0.s2 - 2.f * w1.s2 - 4.f * w2.s2) / 144.f; + out3.s2 = (-w0.s0 - 2.f * w1.s0 - 4.f * w2.s0 + w0.s1 + 2.f * w1.s1 + 4.f * w2.s1 - w0.s2 - 2.f * w1.s2 - 4.f * w2.s2) / 144.f; + out3.s3 = ((w0.s0 + 2.f * w1.s0 + 4.f * w2.s0) + 2.f * (w0.s1 + 2.f * w1.s1 + 4.f * w2.s1) + 4.f * (w0.s2 + 2.f * w1.s2 + 4.f * w2.s2)) / 576.f; + out3.s4 = ((w0.s0 + 2.f * w1.s0 + 4.f * w2.s0) + 2.f * (-w0.s1 - 2.f * w1.s1 - 4.f * w2.s1) + 4.f * (w0.s2 + 2.f * w1.s2 + 4.f * w2.s2)) / 576.f; + out3.s5 = (w0.s2 + 2.f * w1.s2 + 4.f * w2.s2) / 24.f; + + // Row 4 + float8 out4 = 0.0f; + out4.s0 = (w0.s0 - 2.f * w1.s0 + 4.f * w2.s0) / 96.f; + out4.s1 = (-w0.s0 + 2.f * w1.s0 - 4.f * w2.s0 - w0.s1 + 2.f * w1.s1 - 4.f * w2.s1 - w0.s2 + 2.f * w1.s2 - 4.f * w2.s2) / 144.f; + out4.s2 = (-w0.s0 + 2.f * w1.s0 - 4.f * w2.s0 + w0.s1 - 2.f * w1.s1 + 4.f * w2.s1 - w0.s2 + 2.f * w1.s2 - 4.f * w2.s2) / 144.f; + out4.s3 = ((w0.s0 - 2.f * w1.s0 + 4.f * w2.s0) + 2.f * (w0.s1 - 2.f * w1.s1 + 4.f * w2.s1) + 4.f * (w0.s2 - 2.f * w1.s2 + 4.f * w2.s2)) / 576.f; + out4.s4 = ((w0.s0 - 2.f * w1.s0 + 4.f * w2.s0) + 2.f * (-w0.s1 + 2.f * w1.s1 - 4.f * w2.s1) + 4.f * (w0.s2 - 2.f * w1.s2 + 4.f * w2.s2)) / 576.f; + out4.s5 = (w0.s2 - 2.f * w1.s2 + 4.f * w2.s2) / 24.f; + + // Row 5 + float8 out5 = 0.0f; + out5.s0 = (w2.s0) / 4.f; + out5.s1 = (-w2.s0 - w2.s1 - w2.s2) / 6.f; + out5.s2 = (-w2.s0 + w2.s1 - w2.s2) / 6.f; + out5.s3 = (w2.s0 + 2.f * w2.s1 + 4.f * w2.s2) / 24.f; + out5.s4 = (w2.s0 - 2.f * w2.s1 + 4.f * w2.s2) / 24.f; + out5.s5 = (w2.s2); +#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) + + int z = get_global_id(2); + int x0 = z / SRC_DIM_Z; // idx filter + int y0 = z % SRC_DIM_Z; // idx channel + + // Get output address + __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x0 * dst_stride_x + y0 * dst_stride_y; + + // Store the values across the channels + // 36 channels for 3x3 kernels + // 6 channels for 3x1 or 1x3 kernels + *(__global float *)(dst_addr + 0 * dst_stride_z) = out0.s0; + *(__global float *)(dst_addr + 1 * dst_stride_z) = out0.s1; + *(__global float *)(dst_addr + 2 * dst_stride_z) = out0.s2; + *(__global float *)(dst_addr + 3 * dst_stride_z) = out0.s3; + *(__global float *)(dst_addr + 4 * dst_stride_z) = out0.s4; + *(__global float *)(dst_addr + 5 * dst_stride_z) = out0.s5; + +#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) + *(__global float *)(dst_addr + 6 * dst_stride_z) = out1.s0; + *(__global float *)(dst_addr + 7 * dst_stride_z) = out1.s1; + *(__global float *)(dst_addr + 8 * dst_stride_z) = out1.s2; + *(__global float *)(dst_addr + 9 * dst_stride_z) = out1.s3; + *(__global float *)(dst_addr + 10 * dst_stride_z) = out1.s4; + *(__global float *)(dst_addr + 11 * dst_stride_z) = out1.s5; + *(__global float *)(dst_addr + 12 * dst_stride_z) = out2.s0; + *(__global float *)(dst_addr + 13 * dst_stride_z) = out2.s1; + *(__global float *)(dst_addr + 14 * dst_stride_z) = out2.s2; + *(__global float *)(dst_addr + 15 * dst_stride_z) = out2.s3; + *(__global float *)(dst_addr + 16 * dst_stride_z) = out2.s4; + *(__global float *)(dst_addr + 17 * dst_stride_z) = out2.s5; + *(__global float *)(dst_addr + 18 * dst_stride_z) = out3.s0; + *(__global float *)(dst_addr + 19 * dst_stride_z) = out3.s1; + *(__global float *)(dst_addr + 20 * dst_stride_z) = out3.s2; + *(__global float *)(dst_addr + 21 * dst_stride_z) = out3.s3; + *(__global float *)(dst_addr + 22 * dst_stride_z) = out3.s4; + *(__global float *)(dst_addr + 23 * dst_stride_z) = out3.s5; + *(__global float *)(dst_addr + 24 * dst_stride_z) = out4.s0; + *(__global float *)(dst_addr + 25 * dst_stride_z) = out4.s1; + *(__global float *)(dst_addr + 26 * dst_stride_z) = out4.s2; + *(__global float *)(dst_addr + 27 * dst_stride_z) = out4.s3; + *(__global float *)(dst_addr + 28 * dst_stride_z) = out4.s4; + *(__global float *)(dst_addr + 29 * dst_stride_z) = out4.s5; + *(__global float *)(dst_addr + 30 * dst_stride_z) = out5.s0; + *(__global float *)(dst_addr + 31 * dst_stride_z) = out5.s1; + *(__global float *)(dst_addr + 32 * dst_stride_z) = out5.s2; + *(__global float *)(dst_addr + 33 * dst_stride_z) = out5.s3; + *(__global float *)(dst_addr + 34 * dst_stride_z) = out5.s4; + *(__global float *)(dst_addr + 35 * dst_stride_z) = out5.s5; +#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) +} + +#if defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) +/** This OpenCL kernel performs Winograd filter transform 3x1 when the data layout is NCHW and the output tile is 2x1 + * + * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 + * @note -DWINOGRAD_FILTER_TRANSFORM_HORIZONTAL has to be passed at compile time to perform Winograd Filter Transform + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) + * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_filter_transform_2x1_3x1_nchw( + TENSOR4D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + winograd_filter_transform_2x2_3x3_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_stride_w, + src_step_w, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes); +} + +/** This OpenCL kernel performs Winograd filter transform 3x1 when the data layout is NCHW and the output tile is 4x1 + * + * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 + * @note -DWINOGRAD_FILTER_TRANSFORM_HORIZONTAL has to be passed at compile time to perform Winograd Filter Transform + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) + * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_filter_transform_4x1_3x1_nchw( + TENSOR4D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + winograd_filter_transform_4x4_3x3_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_stride_w, + src_step_w, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes); +} +#endif // defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) + +#if defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) +/** This OpenCL kernel performs Winograd filter transform 1x3 when the data layout is NCHW and the output tile is 1x2 + * + * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 + * @note -DWINOGRAD_FILTER_TRANSFORM_VERTICAL has to be passed at compile time to perform Winograd Filter Transform + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) + * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_filter_transform_1x2_1x3_nchw( + TENSOR4D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + winograd_filter_transform_2x2_3x3_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_stride_w, + src_step_w, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes); +} + +/** This OpenCL kernel performs Winograd filter transform 1x3 when the data layout is NCHW and the output tile is 1x4 + * + * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 + * @note -DWINOGRAD_FILTER_TRANSFORM_VERTICAL has to be passed at compile time to perform Winograd Filter Transform + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) + * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_filter_transform_1x4_1x3_nchw( + TENSOR4D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + winograd_filter_transform_4x4_3x3_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_stride_w, + src_step_w, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes); +} +#endif // defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) + +/** This OpenCL kernel performs Winograd filter transform 3x3 when the data layout is NHWC and the output tile is 4x4 + * + * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) + * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_filter_transform_4x4_3x3_nhwc( + TENSOR4D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + Tensor4D src = CONVERT_TO_TENSOR4D_STRUCT(src, SRC_DIM_Z); + + const __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + get_global_id(0) * src_step_x + get_global_id(1) * src_step_y + get_global_id(2) * src_step_w; + + // Load the values from the input tensor + float w00 = *((__global float *)(src_addr + 0 * src_stride_z + 0 * src_stride_y)); + float w01 = *((__global float *)(src_addr + 0 * src_stride_z + 1 * src_stride_y)); + float w02 = *((__global float *)(src_addr + 0 * src_stride_z + 2 * src_stride_y)); + float w10 = *((__global float *)(src_addr + 1 * src_stride_z + 0 * src_stride_y)); + float w11 = *((__global float *)(src_addr + 1 * src_stride_z + 1 * src_stride_y)); + float w12 = *((__global float *)(src_addr + 1 * src_stride_z + 2 * src_stride_y)); + float w20 = *((__global float *)(src_addr + 2 * src_stride_z + 0 * src_stride_y)); + float w21 = *((__global float *)(src_addr + 2 * src_stride_z + 1 * src_stride_y)); + float w22 = *((__global float *)(src_addr + 2 * src_stride_z + 2 * src_stride_y)); + + // Transform the 3x3 tile in a 6x6 tile + float out00, out01, out02, out03, out04, out05; + float out10, out11, out12, out13, out14, out15; + float out20, out21, out22, out23, out24, out25; + float out30, out31, out32, out33, out34, out35; + float out40, out41, out42, out43, out44, out45; + float out50, out51, out52, out53, out54, out55; + + out00 = out01 = out02 = out03 = out04 = out05 = 0.f; + out10 = out11 = out12 = out13 = out14 = out15 = 0.f; + out20 = out21 = out22 = out23 = out24 = out25 = 0.f; + out30 = out31 = out32 = out33 = out34 = out35 = 0.f; + out40 = out41 = out42 = out43 = out44 = out45 = 0.f; + out50 = out51 = out52 = out53 = out54 = out55 = 0.f; + + // Row 0 + out00 = (w00) / 16.f; + out01 = (-w00 - w01 - w02) / 24.f; + out02 = (-w00 + w01 - w02) / 24.f; + out03 = (w00 + 2.f * w01 + 4.f * w02) / 96.f; + out04 = (w00 - 2.f * w01 + 4.f * w02) / 96.f; + out05 = (w02) / 4.f; + + // Row 1 + out10 = (-w00 - w10 - w20) / 24.f; + out11 = (w00 + w10 + w20 + w01 + w11 + w21 + w02 + w12 + w22) / 36.f; + out12 = (w00 + w10 + w20 - w01 - w11 - w21 + w02 + w12 + w22) / 36.f; + out13 = (-w00 - w10 - w20 + 2.f * (-w01 - w11 - w21) + 4.f * (-w02 - w12 - w22)) / 144.f; + out14 = (-w00 - w10 - w20 + 2.f * (w01 + w11 + w21) + 4.f * (-w02 - w12 - w22)) / 144.f; + out15 = (-w02 - w12 - w22) / 6.f; + + // Row 2 + out20 = (-w00 + w10 - w20) / 24.f; + out21 = (w00 - w10 + w20 + w01 - w11 + w21 + w02 - w12 + w22) / 36.f; + out22 = (w00 - w10 + w20 - w01 + w11 - w21 + w02 - w12 + w22) / 36.f; + out23 = (-w00 + w10 - w20 + 2.f * (-w01 + w11 - w21) + 4.f * (-w02 + w12 - w22)) / 144.f; + out24 = (-w00 + w10 - w20 + 2.f * (w01 - w11 + w21) + 4.f * (-w02 + w12 - w22)) / 144.f; + out25 = (-w02 + w12 - w22) / 6.f; + + // Row 3 + out30 = (w00 + 2.f * w10 + 4.f * w20) / 96.f; + out31 = (-w00 - 2.f * w10 - 4.f * w20 - w01 - 2.f * w11 - 4.f * w21 - w02 - 2.f * w12 - 4.f * w22) / 144.f; + out32 = (-w00 - 2.f * w10 - 4.f * w20 + w01 + 2.f * w11 + 4.f * w21 - w02 - 2.f * w12 - 4.f * w22) / 144.f; + out33 = ((w00 + 2.f * w10 + 4.f * w20) + 2.f * (w01 + 2.f * w11 + 4.f * w21) + 4.f * (w02 + 2.f * w12 + 4.f * w22)) / 576.f; + out34 = ((w00 + 2.f * w10 + 4.f * w20) + 2.f * (-w01 - 2.f * w11 - 4.f * w21) + 4.f * (w02 + 2.f * w12 + 4.f * w22)) / 576.f; + out35 = (w02 + 2.f * w12 + 4.f * w22) / 24.f; + + // Row 4 + out40 = (w00 - 2.f * w10 + 4.f * w20) / 96.f; + out41 = (-w00 + 2.f * w10 - 4.f * w20 - w01 + 2.f * w11 - 4.f * w21 - w02 + 2.f * w12 - 4.f * w22) / 144.f; + out42 = (-w00 + 2.f * w10 - 4.f * w20 + w01 - 2.f * w11 + 4.f * w21 - w02 + 2.f * w12 - 4.f * w22) / 144.f; + out43 = ((w00 - 2.f * w10 + 4.f * w20) + 2.f * (w01 - 2.f * w11 + 4.f * w21) + 4.f * (w02 - 2.f * w12 + 4.f * w22)) / 576.f; + out44 = ((w00 - 2.f * w10 + 4.f * w20) + 2.f * (-w01 + 2.f * w11 - 4.f * w21) + 4.f * (w02 - 2.f * w12 + 4.f * w22)) / 576.f; + out45 = (w02 - 2.f * w12 + 4.f * w22) / 24.f; + + // Row 5 + out50 = (w20) / 4.f; + out51 = (-w20 - w21 - w22) / 6.f; + out52 = (-w20 + w21 - w22) / 6.f; + out53 = (w20 + 2.f * w21 + 4.f * w22) / 24.f; + out54 = (w20 - 2.f * w21 + 4.f * w22) / 24.f; + out55 = (w22); + + int x0 = get_global_id(2); // idx filter + int y0 = get_global_id(0); // idx channel + + // Get output address + __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x0 * dst_stride_x + y0 * dst_stride_y; + + // Store the values across the channels + *(__global float *)(dst_addr + 0 * dst_stride_z) = out00; + *(__global float *)(dst_addr + 1 * dst_stride_z) = out01; + *(__global float *)(dst_addr + 2 * dst_stride_z) = out02; + *(__global float *)(dst_addr + 3 * dst_stride_z) = out03; + *(__global float *)(dst_addr + 4 * dst_stride_z) = out04; + *(__global float *)(dst_addr + 5 * dst_stride_z) = out05; + *(__global float *)(dst_addr + 6 * dst_stride_z) = out10; + *(__global float *)(dst_addr + 7 * dst_stride_z) = out11; + *(__global float *)(dst_addr + 8 * dst_stride_z) = out12; + *(__global float *)(dst_addr + 9 * dst_stride_z) = out13; + *(__global float *)(dst_addr + 10 * dst_stride_z) = out14; + *(__global float *)(dst_addr + 11 * dst_stride_z) = out15; + *(__global float *)(dst_addr + 12 * dst_stride_z) = out20; + *(__global float *)(dst_addr + 13 * dst_stride_z) = out21; + *(__global float *)(dst_addr + 14 * dst_stride_z) = out22; + *(__global float *)(dst_addr + 15 * dst_stride_z) = out23; + *(__global float *)(dst_addr + 16 * dst_stride_z) = out24; + *(__global float *)(dst_addr + 17 * dst_stride_z) = out25; + *(__global float *)(dst_addr + 18 * dst_stride_z) = out30; + *(__global float *)(dst_addr + 19 * dst_stride_z) = out31; + *(__global float *)(dst_addr + 20 * dst_stride_z) = out32; + *(__global float *)(dst_addr + 21 * dst_stride_z) = out33; + *(__global float *)(dst_addr + 22 * dst_stride_z) = out34; + *(__global float *)(dst_addr + 23 * dst_stride_z) = out35; + *(__global float *)(dst_addr + 24 * dst_stride_z) = out40; + *(__global float *)(dst_addr + 25 * dst_stride_z) = out41; + *(__global float *)(dst_addr + 26 * dst_stride_z) = out42; + *(__global float *)(dst_addr + 27 * dst_stride_z) = out43; + *(__global float *)(dst_addr + 28 * dst_stride_z) = out44; + *(__global float *)(dst_addr + 29 * dst_stride_z) = out45; + *(__global float *)(dst_addr + 30 * dst_stride_z) = out50; + *(__global float *)(dst_addr + 31 * dst_stride_z) = out51; + *(__global float *)(dst_addr + 32 * dst_stride_z) = out52; + *(__global float *)(dst_addr + 33 * dst_stride_z) = out53; + *(__global float *)(dst_addr + 34 * dst_stride_z) = out54; + *(__global float *)(dst_addr + 35 * dst_stride_z) = out55; +} +/** This OpenCL kernel performs Winograd filter transform 5x5 when the data layout is NCHW and the output tile is 4x4 + * + * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) + * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_filter_transform_4x4_5x5_nchw( + TENSOR4D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + Tensor4D src = CONVERT_TO_TENSOR4D_STRUCT(src, SRC_DIM_Z); + + const __global uchar *src_addr = tensor4D_offset(&src, 0, 0, 0, 0); + + // Load the values from the input tensor + const char stride_x = 4 * sizeof(float); // Used for accessing the last value in each row + const uchar8 stride_y = (uchar8)(0, 1, 2, 3, 4, 0, 0, 0) * (uchar8)src_stride_y; + + float4 w00 = vload4(0, (__global float *)(src_addr + stride_y.s0)); + float w01 = *((__global float *)(src_addr + stride_y.s0 + stride_x)); + float4 w10 = vload4(0, (__global float *)(src_addr + stride_y.s1)); + float w11 = *((__global float *)(src_addr + stride_y.s1 + stride_x)); + float4 w20 = vload4(0, (__global float *)(src_addr + stride_y.s2)); + float w21 = *((__global float *)(src_addr + stride_y.s2 + stride_x)); + float4 w30 = vload4(0, (__global float *)(src_addr + stride_y.s3)); + float w31 = *((__global float *)(src_addr + stride_y.s3 + stride_x)); + float4 w40 = vload4(0, (__global float *)(src_addr + stride_y.s4)); + float w41 = *((__global float *)(src_addr + stride_y.s4 + stride_x)); + + // Transform the 3x3 tile in a 8x8 tile + float8 out0 = 0.0f; + float8 out1 = 0.0f; + float8 out2 = 0.0f; + float8 out3 = 0.0f; + float8 out4 = 0.0f; + float8 out5 = 0.0f; + float8 out6 = 0.0f; + float8 out7 = 0.0f; + + // Row 0 + out0.s0 = w00.s0; + out0.s1 = -2.f * (w00.s0 + w00.s1 + w00.s2 + w00.s3 + w01) / 9.f; + out0.s2 = -2.f * (w00.s0 - w00.s1 + w00.s2 - w00.s3 + w01) / 9.f; + out0.s3 = (w00.s0 + 2.f * w00.s1 + 4.f * w00.s2 + 8.f * w00.s3 + 16.f * w01) / 90.f; + out0.s4 = (w00.s0 - 2.f * w00.s1 + 4.f * w00.s2 - 8.f * w00.s3 + 16.f * w01) / 90.f; + out0.s5 = (16.f * w00.s0 + 8.f * w00.s1 + 4.f * w00.s2 + 2.f * w00.s3 + w01) / 180.f; + out0.s6 = (16.f * w00.s0 - 8.f * w00.s1 + 4.f * w00.s2 - 2.f * w00.s3 + w01) / 180.f; + out0.s7 = w01; + + // Row 1 + out1.s0 = -2.f * (w00.s0 + w10.s0 + w20.s0 + w30.s0 + w40.s0) / 9.f; + out1.s1 = 4.f * ((w00.s0 + w10.s0 + w20.s0 + w30.s0 + w40.s0) + (w00.s1 + w10.s1 + w20.s1 + w30.s1 + w40.s1) + (w00.s2 + w10.s2 + w20.s2 + w30.s2 + w40.s2) + + (w00.s3 + w10.s3 + w20.s3 + w30.s3 + w40.s3) + (w01 + w11 + w21 + w31 + w41)) / 81.f; + out1.s2 = 4.f * ((w00.s0 + w10.s0 + w20.s0 + w30.s0 + w40.s0) - (w00.s1 + w10.s1 + w20.s1 + w30.s1 + w40.s1) + (w00.s2 + w10.s2 + w20.s2 + w30.s2 + w40.s2) - + (w00.s3 + w10.s3 + w20.s3 + w30.s3 + w40.s3) + (w01 + w11 + w21 + w31 + w41)) / 81.f; + out1.s3 = -((w00.s0 + w10.s0 + w20.s0 + w30.s0 + w40.s0) + 2.f * (w00.s1 + w10.s1 + w20.s1 + w30.s1 + w40.s1) + 4.f * (w00.s2 + w10.s2 + w20.s2 + w30.s2 + w40.s2) + 8.f * + (w00.s3 + w10.s3 + w20.s3 + w30.s3 + w40.s3) + 16.f * (w01 + w11 + w21 + w31 + w41)) / 405.f; + out1.s4 = -((w00.s0 + w10.s0 + w20.s0 + w30.s0 + w40.s0) - 2.f * (w00.s1 + w10.s1 + w20.s1 + w30.s1 + w40.s1) + 4.f * (w00.s2 + w10.s2 + w20.s2 + w30.s2 + w40.s2) - 8.f * + (w00.s3 + w10.s3 + w20.s3 + w30.s3 + w40.s3) + 16.f * (w01 + w11 + w21 + w31 + w41)) / 405.f; + out1.s5 = -(16.f * (w00.s0 + w10.s0 + w20.s0 + w30.s0 + w40.s0) + 8.f * (w00.s1 + w10.s1 + w20.s1 + w30.s1 + w40.s1) + 4.f * (w00.s2 + w10.s2 + w20.s2 + w30.s2 + w40.s2) + 2.f * + (w00.s3 + w10.s3 + w20.s3 + w30.s3 + w40.s3) + (w01 + w11 + w21 + w31 + w41)) / 810.f; + out1.s6 = -(16.f * (w00.s0 + w10.s0 + w20.s0 + w30.s0 + w40.s0) - 8.f * (w00.s1 + w10.s1 + w20.s1 + w30.s1 + w40.s1) + 4.f * (w00.s2 + w10.s2 + w20.s2 + w30.s2 + w40.s2) - 2.f * + (w00.s3 + w10.s3 + w20.s3 + w30.s3 + w40.s3) + (w01 + w11 + w21 + w31 + w41)) / 810.f; + out1.s7 = -2.f * (w01 + w11 + w21 + w31 + w41) / 9.f; + + // Row 2 + out2.s0 = -2.f * (w00.s0 - w10.s0 + w20.s0 - w30.s0 + w40.s0) / 9.f; + out2.s1 = 4.f * ((w00.s0 - w10.s0 + w20.s0 - w30.s0 + w40.s0) + (w00.s1 - w10.s1 + w20.s1 - w30.s1 + w40.s1) + (w00.s2 - w10.s2 + w20.s2 - w30.s2 + w40.s2) + + (w00.s3 - w10.s3 + w20.s3 - w30.s3 + w40.s3) + (w01 - w11 + w21 - w31 + w41)) / 81.f; + out2.s2 = 4.f * ((w00.s0 - w10.s0 + w20.s0 - w30.s0 + w40.s0) - (w00.s1 - w10.s1 + w20.s1 - w30.s1 + w40.s1) + (w00.s2 - w10.s2 + w20.s2 - w30.s2 + w40.s2) - + (w00.s3 - w10.s3 + w20.s3 - w30.s3 + w40.s3) + (w01 - w11 + w21 - w31 + w41)) / 81.f; + out2.s3 = -((w00.s0 - w10.s0 + w20.s0 - w30.s0 + w40.s0) + 2.f * (w00.s1 - w10.s1 + w20.s1 - w30.s1 + w40.s1) + 4.f * (w00.s2 - w10.s2 + w20.s2 - w30.s2 + w40.s2) + 8.f * + (w00.s3 - w10.s3 + w20.s3 - w30.s3 + w40.s3) + 16.f * (w01 - w11 + w21 - w31 + w41)) / 405.f; + out2.s4 = -((w00.s0 - w10.s0 + w20.s0 - w30.s0 + w40.s0) - 2.f * (w00.s1 - w10.s1 + w20.s1 - w30.s1 + w40.s1) + 4.f * (w00.s2 - w10.s2 + w20.s2 - w30.s2 + w40.s2) - 8.f * + (w00.s3 - w10.s3 + w20.s3 - w30.s3 + w40.s3) + 16.f * (w01 - w11 + w21 - w31 + w41)) / 405.f; + out2.s5 = -(16.f * (w00.s0 - w10.s0 + w20.s0 - w30.s0 + w40.s0) + 8.f * (w00.s1 - w10.s1 + w20.s1 - w30.s1 + w40.s1) + 4.f * (w00.s2 - w10.s2 + w20.s2 - w30.s2 + w40.s2) + 2.f * + (w00.s3 - w10.s3 + w20.s3 - w30.s3 + w40.s3) + (w01 - w11 + w21 - w31 + w41)) / 810.f; + out2.s6 = -(16.f * (w00.s0 - w10.s0 + w20.s0 - w30.s0 + w40.s0) - 8.f * (w00.s1 - w10.s1 + w20.s1 - w30.s1 + w40.s1) + 4.f * (w00.s2 - w10.s2 + w20.s2 - w30.s2 + w40.s2) - 2.f * + (w00.s3 - w10.s3 + w20.s3 - w30.s3 + w40.s3) + (w01 - w11 + w21 - w31 + w41)) / 810.f; + out2.s7 = -2.f * (w01 - w11 + w21 - w31 + w41) / 9.f; + + // Row 3 + out3.s0 = (w00.s0 + 2.f * w10.s0 + 4.f * w20.s0 + 8.f * w30.s0 + 16.f * w40.s0) / 90.f; + out3.s1 = -((w00.s0 + 2.f * w10.s0 + 4.f * w20.s0 + 8.f * w30.s0 + 16.f * w40.s0) + (w00.s1 + 2.f * w10.s1 + 4.f * w20.s1 + 8.f * w30.s1 + 16.f * w40.s1) + + (w00.s2 + 2.f * w10.s2 + 4.f * w20.s2 + 8.f * w30.s2 + 16.f * w40.s2) + (w00.s3 + 2.f * w10.s3 + 4.f * w20.s3 + 8.f * w30.s3 + 16.f * w40.s3) + + (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41)) / 405.f; + out3.s2 = -((w00.s0 + 2.f * w10.s0 + 4.f * w20.s0 + 8.f * w30.s0 + 16.f * w40.s0) - (w00.s1 + 2.f * w10.s1 + 4.f * w20.s1 + 8.f * w30.s1 + 16.f * w40.s1) + + (w00.s2 + 2.f * w10.s2 + 4.f * w20.s2 + 8.f * w30.s2 + 16.f * w40.s2) - (w00.s3 + 2.f * w10.s3 + 4.f * w20.s3 + 8.f * w30.s3 + 16.f * w40.s3) + + (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41)) / 405.f; + out3.s3 = ((w00.s0 + 2.f * w10.s0 + 4.f * w20.s0 + 8.f * w30.s0 + 16.f * w40.s0) + 2.f * (w00.s1 + 2.f * w10.s1 + 4.f * w20.s1 + 8.f * w30.s1 + 16.f * w40.s1) + 4.f * + (w00.s2 + 2.f * w10.s2 + 4.f * w20.s2 + 8.f * w30.s2 + 16.f * w40.s2) + 8.f * (w00.s3 + 2.f * w10.s3 + 4.f * w20.s3 + 8.f * w30.s3 + 16.f * w40.s3) + 16.f * + (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41)) / 8100.f; + out3.s4 = ((w00.s0 + 2.f * w10.s0 + 4.f * w20.s0 + 8.f * w30.s0 + 16.f * w40.s0) - 2.f * (w00.s1 + 2.f * w10.s1 + 4.f * w20.s1 + 8.f * w30.s1 + 16.f * w40.s1) + 4.f * + (w00.s2 + 2.f * w10.s2 + 4.f * w20.s2 + 8.f * w30.s2 + 16.f * w40.s2) - 8.f * (w00.s3 + 2.f * w10.s3 + 4.f * w20.s3 + 8.f * w30.s3 + 16.f * w40.s3) + 16.f * + (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41)) / 8100.f; + out3.s5 = (16.f * (w00.s0 + 2.f * w10.s0 + 4.f * w20.s0 + 8.f * w30.s0 + 16.f * w40.s0) + 8.f * (w00.s1 + 2.f * w10.s1 + 4.f * w20.s1 + 8.f * w30.s1 + 16.f * w40.s1) + 4.f * + (w00.s2 + 2.f * w10.s2 + 4.f * w20.s2 + 8.f * w30.s2 + 16.f * w40.s2) + 2.f * (w00.s3 + 2.f * w10.s3 + 4.f * w20.s3 + 8.f * w30.s3 + 16.f * w40.s3) + + (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41)) / 16200.f; + out3.s6 = (16.f * (w00.s0 + 2.f * w10.s0 + 4.f * w20.s0 + 8.f * w30.s0 + 16.f * w40.s0) - 8.f * (w00.s1 + 2.f * w10.s1 + 4.f * w20.s1 + 8.f * w30.s1 + 16.f * w40.s1) + 4.f * + (w00.s2 + 2.f * w10.s2 + 4.f * w20.s2 + 8.f * w30.s2 + 16.f * w40.s2) - 2.f * (w00.s3 + 2.f * w10.s3 + 4.f * w20.s3 + 8.f * w30.s3 + 16.f * w40.s3) + + (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41)) / 16200.f; + out3.s7 = (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41) / 90.f; + + // Row 4 + out4.s0 = (w00.s0 - 2.f * w10.s0 + 4.f * w20.s0 - 8.f * w30.s0 + 16.f * w40.s0) / 90.f; + out4.s1 = -((w00.s0 - 2.f * w10.s0 + 4.f * w20.s0 - 8.f * w30.s0 + 16.f * w40.s0) + (w00.s1 - 2.f * w10.s1 + 4.f * w20.s1 - 8.f * w30.s1 + 16.f * w40.s1) + + (w00.s2 - 2.f * w10.s2 + 4.f * w20.s2 - 8.f * w30.s2 + 16.f * w40.s2) + (w00.s3 - 2.f * w10.s3 + 4.f * w20.s3 - 8.f * w30.s3 + 16.f * w40.s3) + + (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41)) / 405.f; + out4.s2 = -((w00.s0 - 2.f * w10.s0 + 4.f * w20.s0 - 8.f * w30.s0 + 16.f * w40.s0) - (w00.s1 - 2.f * w10.s1 + 4.f * w20.s1 - 8.f * w30.s1 + 16.f * w40.s1) + + (w00.s2 - 2.f * w10.s2 + 4.f * w20.s2 - 8.f * w30.s2 + 16.f * w40.s2) - (w00.s3 - 2.f * w10.s3 + 4.f * w20.s3 - 8.f * w30.s3 + 16.f * w40.s3) + + (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41)) / 405.f; + out4.s3 = ((w00.s0 - 2.f * w10.s0 + 4.f * w20.s0 - 8.f * w30.s0 + 16.f * w40.s0) + 2.f * (w00.s1 - 2.f * w10.s1 + 4.f * w20.s1 - 8.f * w30.s1 + 16.f * w40.s1) + 4.f * + (w00.s2 - 2.f * w10.s2 + 4.f * w20.s2 - 8.f * w30.s2 + 16.f * w40.s2) + 8.f * (w00.s3 - 2.f * w10.s3 + 4.f * w20.s3 - 8.f * w30.s3 + 16.f * w40.s3) + 16.f * + (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41)) / 8100.f; + out4.s4 = ((w00.s0 - 2.f * w10.s0 + 4.f * w20.s0 - 8.f * w30.s0 + 16.f * w40.s0) - 2.f * (w00.s1 - 2.f * w10.s1 + 4.f * w20.s1 - 8.f * w30.s1 + 16.f * w40.s1) + 4.f * + (w00.s2 - 2.f * w10.s2 + 4.f * w20.s2 - 8.f * w30.s2 + 16.f * w40.s2) - 8.f * (w00.s3 - 2.f * w10.s3 + 4.f * w20.s3 - 8.f * w30.s3 + 16.f * w40.s3) + 16.f * + (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41)) / 8100.f; + out4.s5 = (16.f * (w00.s0 - 2.f * w10.s0 + 4.f * w20.s0 - 8.f * w30.s0 + 16.f * w40.s0) + 8.f * (w00.s1 - 2.f * w10.s1 + 4.f * w20.s1 - 8.f * w30.s1 + 16.f * w40.s1) + 4.f * + (w00.s2 - 2.f * w10.s2 + 4.f * w20.s2 - 8.f * w30.s2 + 16.f * w40.s2) + 2.f * (w00.s3 - 2.f * w10.s3 + 4.f * w20.s3 - 8.f * w30.s3 + 16.f * w40.s3) + + (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41)) / 16200.f; + out4.s6 = (16.f * (w00.s0 - 2.f * w10.s0 + 4.f * w20.s0 - 8.f * w30.s0 + 16.f * w40.s0) - 8.f * (w00.s1 - 2.f * w10.s1 + 4.f * w20.s1 - 8.f * w30.s1 + 16.f * w40.s1) + 4.f * + (w00.s2 - 2.f * w10.s2 + 4.f * w20.s2 - 8.f * w30.s2 + 16.f * w40.s2) - 2.f * (w00.s3 - 2.f * w10.s3 + 4.f * w20.s3 - 8.f * w30.s3 + 16.f * w40.s3) + + (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41)) / 16200.f; + out4.s7 = (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41) / 90.f; + + // Row 5 + out5.s0 = (16.f * w00.s0 + 8.f * w10.s0 + 4.f * w20.s0 + 2.f * w30.s0 + w40.s0) / 180.f; + out5.s1 = -((16.f * w00.s0 + 8.f * w10.s0 + 4.f * w20.s0 + 2.f * w30.s0 + w40.s0) + (16.f * w00.s1 + 8.f * w10.s1 + 4.f * w20.s1 + 2.f * w30.s1 + w40.s1) + + (16.f * w00.s2 + 8.f * w10.s2 + 4.f * w20.s2 + 2.f * w30.s2 + w40.s2) + (16.f * w00.s3 + 8.f * w10.s3 + 4.f * w20.s3 + 2.f * w30.s3 + w40.s3) + + (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41)) / 810.f; + out5.s2 = -((16.f * w00.s0 + 8.f * w10.s0 + 4.f * w20.s0 + 2.f * w30.s0 + w40.s0) - (16.f * w00.s1 + 8.f * w10.s1 + 4.f * w20.s1 + 2.f * w30.s1 + w40.s1) + + (16.f * w00.s2 + 8.f * w10.s2 + 4.f * w20.s2 + 2.f * w30.s2 + w40.s2) - (16.f * w00.s3 + 8.f * w10.s3 + 4.f * w20.s3 + 2.f * w30.s3 + w40.s3) + + (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41)) / 810.f; + out5.s3 = ((16.f * w00.s0 + 8.f * w10.s0 + 4.f * w20.s0 + 2.f * w30.s0 + w40.s0) + 2.f * (16.f * w00.s1 + 8.f * w10.s1 + 4.f * w20.s1 + 2.f * w30.s1 + w40.s1) + 4.f * + (16.f * w00.s2 + 8.f * w10.s2 + 4.f * w20.s2 + 2.f * w30.s2 + w40.s2) + 8.f * (16.f * w00.s3 + 8.f * w10.s3 + 4.f * w20.s3 + 2.f * w30.s3 + w40.s3) + 16.f * + (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41)) / 16200.f; + out5.s4 = ((16.f * w00.s0 + 8.f * w10.s0 + 4.f * w20.s0 + 2.f * w30.s0 + w40.s0) - 2.f * (16.f * w00.s1 + 8.f * w10.s1 + 4.f * w20.s1 + 2.f * w30.s1 + w40.s1) + 4.f * + (16.f * w00.s2 + 8.f * w10.s2 + 4.f * w20.s2 + 2.f * w30.s2 + w40.s2) - 8.f * (16.f * w00.s3 + 8.f * w10.s3 + 4.f * w20.s3 + 2.f * w30.s3 + w40.s3) + 16.f * + (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41)) / 16200.f; + out5.s5 = (16.f * (16.f * w00.s0 + 8.f * w10.s0 + 4.f * w20.s0 + 2.f * w30.s0 + w40.s0) + 8.f * (16.f * w00.s1 + 8.f * w10.s1 + 4.f * w20.s1 + 2.f * w30.s1 + w40.s1) + 4.f * + (16.f * w00.s2 + 8.f * w10.s2 + 4.f * w20.s2 + 2.f * w30.s2 + w40.s2) + 2.f * (16.f * w00.s3 + 8.f * w10.s3 + 4.f * w20.s3 + 2.f * w30.s3 + w40.s3) + + (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41)) / 32400.f; + out5.s6 = (16.f * (16.f * w00.s0 + 8.f * w10.s0 + 4.f * w20.s0 + 2.f * w30.s0 + w40.s0) - 8.f * (16.f * w00.s1 + 8.f * w10.s1 + 4.f * w20.s1 + 2.f * w30.s1 + w40.s1) + 4.f * + (16.f * w00.s2 + 8.f * w10.s2 + 4.f * w20.s2 + 2.f * w30.s2 + w40.s2) - 2.f * (16.f * w00.s3 + 8.f * w10.s3 + 4.f * w20.s3 + 2.f * w30.s3 + w40.s3) + + (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41)) / 32400.f; + out5.s7 = (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41) / 180.f; + + // Row 6 + out6.s0 = (16.f * w00.s0 - 8.f * w10.s0 + 4.f * w20.s0 - 2.f * w30.s0 + w40.s0) / 180.f; + out6.s1 = -((16.f * w00.s0 - 8.f * w10.s0 + 4.f * w20.s0 - 2.f * w30.s0 + w40.s0) + (16.f * w00.s1 - 8.f * w10.s1 + 4.f * w20.s1 - 2.f * w30.s1 + w40.s1) + + (16.f * w00.s2 - 8.f * w10.s2 + 4.f * w20.s2 - 2.f * w30.s2 + w40.s2) + (16.f * w00.s3 - 8.f * w10.s3 + 4.f * w20.s3 - 2.f * w30.s3 + w40.s3) + + (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41)) / 810.f; + out6.s2 = -((16.f * w00.s0 - 8.f * w10.s0 + 4.f * w20.s0 - 2.f * w30.s0 + w40.s0) - (16.f * w00.s1 - 8.f * w10.s1 + 4.f * w20.s1 - 2.f * w30.s1 + w40.s1) + + (16.f * w00.s2 - 8.f * w10.s2 + 4.f * w20.s2 - 2.f * w30.s2 + w40.s2) - (16.f * w00.s3 - 8.f * w10.s3 + 4.f * w20.s3 - 2.f * w30.s3 + w40.s3) + + (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41)) / 810.f; + out6.s3 = ((16.f * w00.s0 - 8.f * w10.s0 + 4.f * w20.s0 - 2.f * w30.s0 + w40.s0) + 2.f * (16.f * w00.s1 - 8.f * w10.s1 + 4.f * w20.s1 - 2.f * w30.s1 + w40.s1) + 4.f * + (16.f * w00.s2 - 8.f * w10.s2 + 4.f * w20.s2 - 2.f * w30.s2 + w40.s2) + 8.f * (16.f * w00.s3 - 8.f * w10.s3 + 4.f * w20.s3 - 2.f * w30.s3 + w40.s3) + 16.f * + (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41)) / 16200.f; + out6.s4 = ((16.f * w00.s0 - 8.f * w10.s0 + 4.f * w20.s0 - 2.f * w30.s0 + w40.s0) - 2.f * (16.f * w00.s1 - 8.f * w10.s1 + 4.f * w20.s1 - 2.f * w30.s1 + w40.s1) + 4.f * + (16.f * w00.s2 - 8.f * w10.s2 + 4.f * w20.s2 - 2.f * w30.s2 + w40.s2) - 8.f * (16.f * w00.s3 - 8.f * w10.s3 + 4.f * w20.s3 - 2.f * w30.s3 + w40.s3) + 16.f * + (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41)) / 16200.f; + out6.s5 = (16.f * (16.f * w00.s0 - 8.f * w10.s0 + 4.f * w20.s0 - 2.f * w30.s0 + w40.s0) + 8.f * (16.f * w00.s1 - 8.f * w10.s1 + 4.f * w20.s1 - 2.f * w30.s1 + w40.s1) + 4.f * + (16.f * w00.s2 - 8.f * w10.s2 + 4.f * w20.s2 - 2.f * w30.s2 + w40.s2) + 2.f * (16.f * w00.s3 - 8.f * w10.s3 + 4.f * w20.s3 - 2.f * w30.s3 + w40.s3) + + (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41)) / 32400.f; + out6.s6 = (16.f * (16.f * w00.s0 - 8.f * w10.s0 + 4.f * w20.s0 - 2.f * w30.s0 + w40.s0) - 8.f * (16.f * w00.s1 - 8.f * w10.s1 + 4.f * w20.s1 - 2.f * w30.s1 + w40.s1) + 4.f * + (16.f * w00.s2 - 8.f * w10.s2 + 4.f * w20.s2 - 2.f * w30.s2 + w40.s2) - 2.f * (16.f * w00.s3 - 8.f * w10.s3 + 4.f * w20.s3 - 2.f * w30.s3 + w40.s3) + + (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41)) / 32400.f; + out6.s7 = (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41) / 180.f; + + // Row 7 + out7.s0 = w40.s0; + out7.s1 = -2.f * (w40.s0 + w40.s1 + w40.s2 + w40.s3 + w41) / 9.f; + out7.s2 = -2.f * (w40.s0 - w40.s1 + w40.s2 - w40.s3 + w41) / 9.f; + out7.s3 = (w40.s0 + 2.f * w40.s1 + 4.f * w40.s2 + 8.f * w40.s3 + 16.f * w41) / 90.f; + out7.s4 = (w40.s0 - 2.f * w40.s1 + 4.f * w40.s2 - 8.f * w40.s3 + 16.f * w41) / 90.f; + out7.s5 = (16.f * w40.s0 + 8.f * w40.s1 + 4.f * w40.s2 + 2.f * w40.s3 + w41) / 180.f; + out7.s6 = (16.f * w40.s0 - 8.f * w40.s1 + 4.f * w40.s2 - 2.f * w40.s3 + w41) / 180.f; + out7.s7 = w41; + + int z = get_global_id(2); + int x0 = z / SRC_DIM_Z; // idx filter + int y0 = z % SRC_DIM_Z; // idx channel + + // Get output address + __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x0 * dst_stride_x + y0 * dst_stride_y; + + // Store the 64 values across the 64 channels + *(__global float *)(dst_addr + 0 * dst_stride_z) = out0.s0; + *(__global float *)(dst_addr + 1 * dst_stride_z) = out0.s1; + *(__global float *)(dst_addr + 2 * dst_stride_z) = out0.s2; + *(__global float *)(dst_addr + 3 * dst_stride_z) = out0.s3; + *(__global float *)(dst_addr + 4 * dst_stride_z) = out0.s4; + *(__global float *)(dst_addr + 5 * dst_stride_z) = out0.s5; + *(__global float *)(dst_addr + 6 * dst_stride_z) = out0.s6; + *(__global float *)(dst_addr + 7 * dst_stride_z) = out0.s7; + *(__global float *)(dst_addr + 8 * dst_stride_z) = out1.s0; + *(__global float *)(dst_addr + 9 * dst_stride_z) = out1.s1; + *(__global float *)(dst_addr + 10 * dst_stride_z) = out1.s2; + *(__global float *)(dst_addr + 11 * dst_stride_z) = out1.s3; + *(__global float *)(dst_addr + 12 * dst_stride_z) = out1.s4; + *(__global float *)(dst_addr + 13 * dst_stride_z) = out1.s5; + *(__global float *)(dst_addr + 14 * dst_stride_z) = out1.s6; + *(__global float *)(dst_addr + 15 * dst_stride_z) = out1.s7; + *(__global float *)(dst_addr + 16 * dst_stride_z) = out2.s0; + *(__global float *)(dst_addr + 17 * dst_stride_z) = out2.s1; + *(__global float *)(dst_addr + 18 * dst_stride_z) = out2.s2; + *(__global float *)(dst_addr + 19 * dst_stride_z) = out2.s3; + *(__global float *)(dst_addr + 20 * dst_stride_z) = out2.s4; + *(__global float *)(dst_addr + 21 * dst_stride_z) = out2.s5; + *(__global float *)(dst_addr + 22 * dst_stride_z) = out2.s6; + *(__global float *)(dst_addr + 23 * dst_stride_z) = out2.s7; + *(__global float *)(dst_addr + 24 * dst_stride_z) = out3.s0; + *(__global float *)(dst_addr + 25 * dst_stride_z) = out3.s1; + *(__global float *)(dst_addr + 26 * dst_stride_z) = out3.s2; + *(__global float *)(dst_addr + 27 * dst_stride_z) = out3.s3; + *(__global float *)(dst_addr + 28 * dst_stride_z) = out3.s4; + *(__global float *)(dst_addr + 29 * dst_stride_z) = out3.s5; + *(__global float *)(dst_addr + 30 * dst_stride_z) = out3.s6; + *(__global float *)(dst_addr + 31 * dst_stride_z) = out3.s7; + *(__global float *)(dst_addr + 32 * dst_stride_z) = out4.s0; + *(__global float *)(dst_addr + 33 * dst_stride_z) = out4.s1; + *(__global float *)(dst_addr + 34 * dst_stride_z) = out4.s2; + *(__global float *)(dst_addr + 35 * dst_stride_z) = out4.s3; + *(__global float *)(dst_addr + 36 * dst_stride_z) = out4.s4; + *(__global float *)(dst_addr + 37 * dst_stride_z) = out4.s5; + *(__global float *)(dst_addr + 38 * dst_stride_z) = out4.s6; + *(__global float *)(dst_addr + 39 * dst_stride_z) = out4.s7; + *(__global float *)(dst_addr + 40 * dst_stride_z) = out5.s0; + *(__global float *)(dst_addr + 41 * dst_stride_z) = out5.s1; + *(__global float *)(dst_addr + 42 * dst_stride_z) = out5.s2; + *(__global float *)(dst_addr + 43 * dst_stride_z) = out5.s3; + *(__global float *)(dst_addr + 44 * dst_stride_z) = out5.s4; + *(__global float *)(dst_addr + 45 * dst_stride_z) = out5.s5; + *(__global float *)(dst_addr + 46 * dst_stride_z) = out5.s6; + *(__global float *)(dst_addr + 47 * dst_stride_z) = out5.s7; + *(__global float *)(dst_addr + 48 * dst_stride_z) = out6.s0; + *(__global float *)(dst_addr + 49 * dst_stride_z) = out6.s1; + *(__global float *)(dst_addr + 50 * dst_stride_z) = out6.s2; + *(__global float *)(dst_addr + 51 * dst_stride_z) = out6.s3; + *(__global float *)(dst_addr + 52 * dst_stride_z) = out6.s4; + *(__global float *)(dst_addr + 53 * dst_stride_z) = out6.s5; + *(__global float *)(dst_addr + 54 * dst_stride_z) = out6.s6; + *(__global float *)(dst_addr + 55 * dst_stride_z) = out6.s7; + *(__global float *)(dst_addr + 56 * dst_stride_z) = out7.s0; + *(__global float *)(dst_addr + 57 * dst_stride_z) = out7.s1; + *(__global float *)(dst_addr + 58 * dst_stride_z) = out7.s2; + *(__global float *)(dst_addr + 59 * dst_stride_z) = out7.s3; + *(__global float *)(dst_addr + 60 * dst_stride_z) = out7.s4; + *(__global float *)(dst_addr + 61 * dst_stride_z) = out7.s5; + *(__global float *)(dst_addr + 62 * dst_stride_z) = out7.s6; + *(__global float *)(dst_addr + 63 * dst_stride_z) = out7.s7; +} + +/** This OpenCL kernel performs Winograd filter transform 5x5 when the data layout is NHWC and the output tile is 4x4 + * + * @note In order to correctly split the input tensor in batches, its dimension across the Z axis (channels for NCHW, height for NHWC) must be passed at compile time using -DSRC_DIM_Z: e.g. -DSRC_DIM_Z=64 + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) + * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_filter_transform_4x4_5x5_nhwc( + TENSOR4D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + Tensor4D src = CONVERT_TO_TENSOR4D_STRUCT(src, SRC_DIM_Z); + + const __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + get_global_id(0) * sizeof(float) + get_global_id(1) * src_step_y + get_global_id(2) * src_step_w; + + // Load the values from the input tensor + float w00 = *((__global float *)(src_addr + 0 * src_stride_z + 0 * src_stride_y)); + float w01 = *((__global float *)(src_addr + 0 * src_stride_z + 1 * src_stride_y)); + float w02 = *((__global float *)(src_addr + 0 * src_stride_z + 2 * src_stride_y)); + float w03 = *((__global float *)(src_addr + 0 * src_stride_z + 3 * src_stride_y)); + float w04 = *((__global float *)(src_addr + 0 * src_stride_z + 4 * src_stride_y)); + float w10 = *((__global float *)(src_addr + 1 * src_stride_z + 0 * src_stride_y)); + float w11 = *((__global float *)(src_addr + 1 * src_stride_z + 1 * src_stride_y)); + float w12 = *((__global float *)(src_addr + 1 * src_stride_z + 2 * src_stride_y)); + float w13 = *((__global float *)(src_addr + 1 * src_stride_z + 3 * src_stride_y)); + float w14 = *((__global float *)(src_addr + 1 * src_stride_z + 4 * src_stride_y)); + float w20 = *((__global float *)(src_addr + 2 * src_stride_z + 0 * src_stride_y)); + float w21 = *((__global float *)(src_addr + 2 * src_stride_z + 1 * src_stride_y)); + float w22 = *((__global float *)(src_addr + 2 * src_stride_z + 2 * src_stride_y)); + float w23 = *((__global float *)(src_addr + 2 * src_stride_z + 3 * src_stride_y)); + float w24 = *((__global float *)(src_addr + 2 * src_stride_z + 4 * src_stride_y)); + float w30 = *((__global float *)(src_addr + 3 * src_stride_z + 0 * src_stride_y)); + float w31 = *((__global float *)(src_addr + 3 * src_stride_z + 1 * src_stride_y)); + float w32 = *((__global float *)(src_addr + 3 * src_stride_z + 2 * src_stride_y)); + float w33 = *((__global float *)(src_addr + 3 * src_stride_z + 3 * src_stride_y)); + float w34 = *((__global float *)(src_addr + 3 * src_stride_z + 4 * src_stride_y)); + float w40 = *((__global float *)(src_addr + 4 * src_stride_z + 0 * src_stride_y)); + float w41 = *((__global float *)(src_addr + 4 * src_stride_z + 1 * src_stride_y)); + float w42 = *((__global float *)(src_addr + 4 * src_stride_z + 2 * src_stride_y)); + float w43 = *((__global float *)(src_addr + 4 * src_stride_z + 3 * src_stride_y)); + float w44 = *((__global float *)(src_addr + 4 * src_stride_z + 4 * src_stride_y)); + + // Transform the 3x3 tile in a 8x8 tile + float8 out0 = 0.0f; + float8 out1 = 0.0f; + float8 out2 = 0.0f; + float8 out3 = 0.0f; + float8 out4 = 0.0f; + float8 out5 = 0.0f; + float8 out6 = 0.0f; + float8 out7 = 0.0f; + + // Row 0 + out0.s0 = w00; + out0.s1 = -2.f * (w00 + w01 + w02 + w03 + w04) / 9.f; + out0.s2 = -2.f * (w00 - w01 + w02 - w03 + w04) / 9.f; + out0.s3 = (w00 + 2.f * w01 + 4.f * w02 + 8.f * w03 + 16.f * w04) / 90.f; + out0.s4 = (w00 - 2.f * w01 + 4.f * w02 - 8.f * w03 + 16.f * w04) / 90.f; + out0.s5 = (16.f * w00 + 8.f * w01 + 4.f * w02 + 2.f * w03 + w04) / 180.f; + out0.s6 = (16.f * w00 - 8.f * w01 + 4.f * w02 - 2.f * w03 + w04) / 180.f; + out0.s7 = w04; + + // Row 1 + out1.s0 = -2.f * (w00 + w10 + w20 + w30 + w40) / 9.f; + out1.s1 = 4.f * ((w00 + w10 + w20 + w30 + w40) + (w01 + w11 + w21 + w31 + w41) + (w02 + w12 + w22 + w32 + w42) + (w03 + w13 + w23 + w33 + w43) + (w04 + w14 + w24 + w34 + w44)) / 81.f; + out1.s2 = 4.f * ((w00 + w10 + w20 + w30 + w40) - (w01 + w11 + w21 + w31 + w41) + (w02 + w12 + w22 + w32 + w42) - (w03 + w13 + w23 + w33 + w43) + (w04 + w14 + w24 + w34 + w44)) / 81.f; + out1.s3 = -((w00 + w10 + w20 + w30 + w40) + 2.f * (w01 + w11 + w21 + w31 + w41) + 4.f * (w02 + w12 + w22 + w32 + w42) + 8.f * (w03 + w13 + w23 + w33 + w43) + 16.f * + (w04 + w14 + w24 + w34 + w44)) / 405.f; + out1.s4 = -((w00 + w10 + w20 + w30 + w40) - 2.f * (w01 + w11 + w21 + w31 + w41) + 4.f * (w02 + w12 + w22 + w32 + w42) - 8.f * (w03 + w13 + w23 + w33 + w43) + 16.f * + (w04 + w14 + w24 + w34 + w44)) / 405.f; + out1.s5 = -(16.f * (w00 + w10 + w20 + w30 + w40) + 8.f * (w01 + w11 + w21 + w31 + w41) + 4.f * (w02 + w12 + w22 + w32 + w42) + 2.f * (w03 + w13 + w23 + w33 + w43) + + (w04 + w14 + w24 + w34 + w44)) / 810.f; + out1.s6 = -(16.f * (w00 + w10 + w20 + w30 + w40) - 8.f * (w01 + w11 + w21 + w31 + w41) + 4.f * (w02 + w12 + w22 + w32 + w42) - 2.f * (w03 + w13 + w23 + w33 + w43) + + (w04 + w14 + w24 + w34 + w44)) / 810.f; + out1.s7 = -2.f * (w04 + w14 + w24 + w34 + w44) / 9.f; + + // Row 2 + out2.s0 = -2.f * (w00 - w10 + w20 - w30 + w40) / 9.f; + out2.s1 = 4.f * ((w00 - w10 + w20 - w30 + w40) + (w01 - w11 + w21 - w31 + w41) + (w02 - w12 + w22 - w32 + w42) + (w03 - w13 + w23 - w33 + w43) + (w04 - w14 + w24 - w34 + w44)) / 81.f; + out2.s2 = 4.f * ((w00 - w10 + w20 - w30 + w40) - (w01 - w11 + w21 - w31 + w41) + (w02 - w12 + w22 - w32 + w42) - (w03 - w13 + w23 - w33 + w43) + (w04 - w14 + w24 - w34 + w44)) / 81.f; + out2.s3 = -((w00 - w10 + w20 - w30 + w40) + 2.f * (w01 - w11 + w21 - w31 + w41) + 4.f * (w02 - w12 + w22 - w32 + w42) + 8.f * (w03 - w13 + w23 - w33 + w43) + 16.f * + (w04 - w14 + w24 - w34 + w44)) / 405.f; + out2.s4 = -((w00 - w10 + w20 - w30 + w40) - 2.f * (w01 - w11 + w21 - w31 + w41) + 4.f * (w02 - w12 + w22 - w32 + w42) - 8.f * (w03 - w13 + w23 - w33 + w43) + 16.f * + (w04 - w14 + w24 - w34 + w44)) / 405.f; + out2.s5 = -(16.f * (w00 - w10 + w20 - w30 + w40) + 8.f * (w01 - w11 + w21 - w31 + w41) + 4.f * (w02 - w12 + w22 - w32 + w42) + 2.f * (w03 - w13 + w23 - w33 + w43) + + (w04 - w14 + w24 - w34 + w44)) / 810.f; + out2.s6 = -(16.f * (w00 - w10 + w20 - w30 + w40) - 8.f * (w01 - w11 + w21 - w31 + w41) + 4.f * (w02 - w12 + w22 - w32 + w42) - 2.f * (w03 - w13 + w23 - w33 + w43) + + (w04 - w14 + w24 - w34 + w44)) / 810.f; + out2.s7 = -2.f * (w04 - w14 + w24 - w34 + w44) / 9.f; + + // Row 3 + out3.s0 = (w00 + 2.f * w10 + 4.f * w20 + 8.f * w30 + 16.f * w40) / 90.f; + out3.s1 = -((w00 + 2.f * w10 + 4.f * w20 + 8.f * w30 + 16.f * w40) + (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41) + (w02 + 2.f * w12 + 4.f * w22 + 8.f * w32 + 16.f * w42) + + (w03 + 2.f * w13 + 4.f * w23 + 8.f * w33 + 16.f * w43) + (w04 + 2.f * w14 + 4.f * w24 + 8.f * w34 + 16.f * w44)) / 405.f; + out3.s2 = -((w00 + 2.f * w10 + 4.f * w20 + 8.f * w30 + 16.f * w40) - (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41) + (w02 + 2.f * w12 + 4.f * w22 + 8.f * w32 + 16.f * w42) - + (w03 + 2.f * w13 + 4.f * w23 + 8.f * w33 + 16.f * w43) + (w04 + 2.f * w14 + 4.f * w24 + 8.f * w34 + 16.f * w44)) / 405.f; + out3.s3 = ((w00 + 2.f * w10 + 4.f * w20 + 8.f * w30 + 16.f * w40) + 2.f * (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41) + 4.f * (w02 + 2.f * w12 + 4.f * w22 + 8.f * w32 + 16.f * w42) + 8.f + * (w03 + 2.f * w13 + 4.f * w23 + 8.f * w33 + 16.f * w43) + 16.f * (w04 + 2.f * w14 + 4.f * w24 + 8.f * w34 + 16.f * w44)) / 8100.f; + out3.s4 = ((w00 + 2.f * w10 + 4.f * w20 + 8.f * w30 + 16.f * w40) - 2.f * (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41) + 4.f * (w02 + 2.f * w12 + 4.f * w22 + 8.f * w32 + 16.f * w42) - 8.f + * (w03 + 2.f * w13 + 4.f * w23 + 8.f * w33 + 16.f * w43) + 16.f * (w04 + 2.f * w14 + 4.f * w24 + 8.f * w34 + 16.f * w44)) / 8100.f; + out3.s5 = (16.f * (w00 + 2.f * w10 + 4.f * w20 + 8.f * w30 + 16.f * w40) + 8.f * (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41) + 4.f * + (w02 + 2.f * w12 + 4.f * w22 + 8.f * w32 + 16.f * w42) + 2.f * (w03 + 2.f * w13 + 4.f * w23 + 8.f * w33 + 16.f * w43) + (w04 + 2.f * w14 + 4.f * w24 + 8.f * w34 + 16.f * w44)) / 16200.f; + out3.s6 = (16.f * (w00 + 2.f * w10 + 4.f * w20 + 8.f * w30 + 16.f * w40) - 8.f * (w01 + 2.f * w11 + 4.f * w21 + 8.f * w31 + 16.f * w41) + 4.f * + (w02 + 2.f * w12 + 4.f * w22 + 8.f * w32 + 16.f * w42) - 2.f * (w03 + 2.f * w13 + 4.f * w23 + 8.f * w33 + 16.f * w43) + (w04 + 2.f * w14 + 4.f * w24 + 8.f * w34 + 16.f * w44)) / 16200.f; + out3.s7 = (w04 + 2.f * w14 + 4.f * w24 + 8.f * w34 + 16.f * w44) / 90.f; + + // Row 4 + out4.s0 = (w00 - 2.f * w10 + 4.f * w20 - 8.f * w30 + 16.f * w40) / 90.f; + out4.s1 = -((w00 - 2.f * w10 + 4.f * w20 - 8.f * w30 + 16.f * w40) + (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41) + (w02 - 2.f * w12 + 4.f * w22 - 8.f * w32 + 16.f * w42) + + (w03 - 2.f * w13 + 4.f * w23 - 8.f * w33 + 16.f * w43) + (w04 - 2.f * w14 + 4.f * w24 - 8.f * w34 + 16.f * w44)) / 405.f; + out4.s2 = -((w00 - 2.f * w10 + 4.f * w20 - 8.f * w30 + 16.f * w40) - (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41) + (w02 - 2.f * w12 + 4.f * w22 - 8.f * w32 + 16.f * w42) - + (w03 - 2.f * w13 + 4.f * w23 - 8.f * w33 + 16.f * w43) + (w04 - 2.f * w14 + 4.f * w24 - 8.f * w34 + 16.f * w44)) / 405.f; + out4.s3 = ((w00 - 2.f * w10 + 4.f * w20 - 8.f * w30 + 16.f * w40) + 2.f * (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41) + 4.f * (w02 - 2.f * w12 + 4.f * w22 - 8.f * w32 + 16.f * w42) + 8.f + * (w03 - 2.f * w13 + 4.f * w23 - 8.f * w33 + 16.f * w43) + 16.f * (w04 - 2.f * w14 + 4.f * w24 - 8.f * w34 + 16.f * w44)) / 8100.f; + out4.s4 = ((w00 - 2.f * w10 + 4.f * w20 - 8.f * w30 + 16.f * w40) - 2.f * (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41) + 4.f * (w02 - 2.f * w12 + 4.f * w22 - 8.f * w32 + 16.f * w42) - 8.f + * (w03 - 2.f * w13 + 4.f * w23 - 8.f * w33 + 16.f * w43) + 16.f * (w04 - 2.f * w14 + 4.f * w24 - 8.f * w34 + 16.f * w44)) / 8100.f; + out4.s5 = (16.f * (w00 - 2.f * w10 + 4.f * w20 - 8.f * w30 + 16.f * w40) + 8.f * (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41) + 4.f * + (w02 - 2.f * w12 + 4.f * w22 - 8.f * w32 + 16.f * w42) + 2.f * (w03 - 2.f * w13 + 4.f * w23 - 8.f * w33 + 16.f * w43) + (w04 - 2.f * w14 + 4.f * w24 - 8.f * w34 + 16.f * w44)) / 16200.f; + out4.s6 = (16.f * (w00 - 2.f * w10 + 4.f * w20 - 8.f * w30 + 16.f * w40) - 8.f * (w01 - 2.f * w11 + 4.f * w21 - 8.f * w31 + 16.f * w41) + 4.f * + (w02 - 2.f * w12 + 4.f * w22 - 8.f * w32 + 16.f * w42) - 2.f * (w03 - 2.f * w13 + 4.f * w23 - 8.f * w33 + 16.f * w43) + (w04 - 2.f * w14 + 4.f * w24 - 8.f * w34 + 16.f * w44)) / 16200.f; + out4.s7 = (w04 - 2.f * w14 + 4.f * w24 - 8.f * w34 + 16.f * w44) / 90.f; + + // Row 5 + out5.s0 = (16.f * w00 + 8.f * w10 + 4.f * w20 + 2.f * w30 + w40) / 180.f; + out5.s1 = -((16.f * w00 + 8.f * w10 + 4.f * w20 + 2.f * w30 + w40) + (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41) + (16.f * w02 + 8.f * w12 + 4.f * w22 + 2.f * w32 + w42) + + (16.f * w03 + 8.f * w13 + 4.f * w23 + 2.f * w33 + w43) + (16.f * w04 + 8.f * w14 + 4.f * w24 + 2.f * w34 + w44)) / 810.f; + out5.s2 = -((16.f * w00 + 8.f * w10 + 4.f * w20 + 2.f * w30 + w40) - (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41) + (16.f * w02 + 8.f * w12 + 4.f * w22 + 2.f * w32 + w42) - + (16.f * w03 + 8.f * w13 + 4.f * w23 + 2.f * w33 + w43) + (16.f * w04 + 8.f * w14 + 4.f * w24 + 2.f * w34 + w44)) / 810.f; + out5.s3 = ((16.f * w00 + 8.f * w10 + 4.f * w20 + 2.f * w30 + w40) + 2.f * (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41) + 4.f * (16.f * w02 + 8.f * w12 + 4.f * w22 + 2.f * w32 + w42) + 8.f + * (16.f * w03 + 8.f * w13 + 4.f * w23 + 2.f * w33 + w43) + 16.f * (16.f * w04 + 8.f * w14 + 4.f * w24 + 2.f * w34 + w44)) / 16200.f; + out5.s4 = ((16.f * w00 + 8.f * w10 + 4.f * w20 + 2.f * w30 + w40) - 2.f * (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41) + 4.f * (16.f * w02 + 8.f * w12 + 4.f * w22 + 2.f * w32 + w42) - 8.f + * (16.f * w03 + 8.f * w13 + 4.f * w23 + 2.f * w33 + w43) + 16.f * (16.f * w04 + 8.f * w14 + 4.f * w24 + 2.f * w34 + w44)) / 16200.f; + out5.s5 = (16.f * (16.f * w00 + 8.f * w10 + 4.f * w20 + 2.f * w30 + w40) + 8.f * (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41) + 4.f * + (16.f * w02 + 8.f * w12 + 4.f * w22 + 2.f * w32 + w42) + 2.f * (16.f * w03 + 8.f * w13 + 4.f * w23 + 2.f * w33 + w43) + (16.f * w04 + 8.f * w14 + 4.f * w24 + 2.f * w34 + w44)) / 32400.f; + out5.s6 = (16.f * (16.f * w00 + 8.f * w10 + 4.f * w20 + 2.f * w30 + w40) - 8.f * (16.f * w01 + 8.f * w11 + 4.f * w21 + 2.f * w31 + w41) + 4.f * + (16.f * w02 + 8.f * w12 + 4.f * w22 + 2.f * w32 + w42) - 2.f * (16.f * w03 + 8.f * w13 + 4.f * w23 + 2.f * w33 + w43) + (16.f * w04 + 8.f * w14 + 4.f * w24 + 2.f * w34 + w44)) / 32400.f; + out5.s7 = (16.f * w04 + 8.f * w14 + 4.f * w24 + 2.f * w34 + w44) / 180.f; + + // Row 6 + out6.s0 = (16.f * w00 - 8.f * w10 + 4.f * w20 - 2.f * w30 + w40) / 180.f; + out6.s1 = -((16.f * w00 - 8.f * w10 + 4.f * w20 - 2.f * w30 + w40) + (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41) + (16.f * w02 - 8.f * w12 + 4.f * w22 - 2.f * w32 + w42) + + (16.f * w03 - 8.f * w13 + 4.f * w23 - 2.f * w33 + w43) + (16.f * w04 - 8.f * w14 + 4.f * w24 - 2.f * w34 + w44)) / 810.f; + out6.s2 = -((16.f * w00 - 8.f * w10 + 4.f * w20 - 2.f * w30 + w40) - (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41) + (16.f * w02 - 8.f * w12 + 4.f * w22 - 2.f * w32 + w42) - + (16.f * w03 - 8.f * w13 + 4.f * w23 - 2.f * w33 + w43) + (16.f * w04 - 8.f * w14 + 4.f * w24 - 2.f * w34 + w44)) / 810.f; + out6.s3 = ((16.f * w00 - 8.f * w10 + 4.f * w20 - 2.f * w30 + w40) + 2.f * (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41) + 4.f * (16.f * w02 - 8.f * w12 + 4.f * w22 - 2.f * w32 + w42) + 8.f + * (16.f * w03 - 8.f * w13 + 4.f * w23 - 2.f * w33 + w43) + 16.f * (16.f * w04 - 8.f * w14 + 4.f * w24 - 2.f * w34 + w44)) / 16200.f; + out6.s4 = ((16.f * w00 - 8.f * w10 + 4.f * w20 - 2.f * w30 + w40) - 2.f * (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41) + 4.f * (16.f * w02 - 8.f * w12 + 4.f * w22 - 2.f * w32 + w42) - 8.f + * (16.f * w03 - 8.f * w13 + 4.f * w23 - 2.f * w33 + w43) + 16.f * (16.f * w04 - 8.f * w14 + 4.f * w24 - 2.f * w34 + w44)) / 16200.f; + out6.s5 = (16.f * (16.f * w00 - 8.f * w10 + 4.f * w20 - 2.f * w30 + w40) + 8.f * (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41) + 4.f * + (16.f * w02 - 8.f * w12 + 4.f * w22 - 2.f * w32 + w42) + 2.f * (16.f * w03 - 8.f * w13 + 4.f * w23 - 2.f * w33 + w43) + (16.f * w04 - 8.f * w14 + 4.f * w24 - 2.f * w34 + w44)) / 32400.f; + out6.s6 = (16.f * (16.f * w00 - 8.f * w10 + 4.f * w20 - 2.f * w30 + w40) - 8.f * (16.f * w01 - 8.f * w11 + 4.f * w21 - 2.f * w31 + w41) + 4.f * + (16.f * w02 - 8.f * w12 + 4.f * w22 - 2.f * w32 + w42) - 2.f * (16.f * w03 - 8.f * w13 + 4.f * w23 - 2.f * w33 + w43) + (16.f * w04 - 8.f * w14 + 4.f * w24 - 2.f * w34 + w44)) / 32400.f; + out6.s7 = (16.f * w04 - 8.f * w14 + 4.f * w24 - 2.f * w34 + w44) / 180.f; + + // Row 7 + out7.s0 = w40; + out7.s1 = -2.f * (w40 + w41 + w42 + w43 + w44) / 9.f; + out7.s2 = -2.f * (w40 - w41 + w42 - w43 + w44) / 9.f; + out7.s3 = (w40 + 2.f * w41 + 4.f * w42 + 8.f * w43 + 16.f * w44) / 90.f; + out7.s4 = (w40 - 2.f * w41 + 4.f * w42 - 8.f * w43 + 16.f * w44) / 90.f; + out7.s5 = (16.f * w40 + 8.f * w41 + 4.f * w42 + 2.f * w43 + w44) / 180.f; + out7.s6 = (16.f * w40 - 8.f * w41 + 4.f * w42 - 2.f * w43 + w44) / 180.f; + out7.s7 = w44; + + int x0 = get_global_id(2); // idx filter + int y0 = get_global_id(0); // idx channel + + // Get output address + __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x0 * sizeof(float) + y0 * dst_stride_y; + + // Store the 64 values across the 64 channels + *(__global float *)(dst_addr + 0 * dst_stride_z) = out0.s0; + *(__global float *)(dst_addr + 1 * dst_stride_z) = out0.s1; + *(__global float *)(dst_addr + 2 * dst_stride_z) = out0.s2; + *(__global float *)(dst_addr + 3 * dst_stride_z) = out0.s3; + *(__global float *)(dst_addr + 4 * dst_stride_z) = out0.s4; + *(__global float *)(dst_addr + 5 * dst_stride_z) = out0.s5; + *(__global float *)(dst_addr + 6 * dst_stride_z) = out0.s6; + *(__global float *)(dst_addr + 7 * dst_stride_z) = out0.s7; + *(__global float *)(dst_addr + 8 * dst_stride_z) = out1.s0; + *(__global float *)(dst_addr + 9 * dst_stride_z) = out1.s1; + *(__global float *)(dst_addr + 10 * dst_stride_z) = out1.s2; + *(__global float *)(dst_addr + 11 * dst_stride_z) = out1.s3; + *(__global float *)(dst_addr + 12 * dst_stride_z) = out1.s4; + *(__global float *)(dst_addr + 13 * dst_stride_z) = out1.s5; + *(__global float *)(dst_addr + 14 * dst_stride_z) = out1.s6; + *(__global float *)(dst_addr + 15 * dst_stride_z) = out1.s7; + *(__global float *)(dst_addr + 16 * dst_stride_z) = out2.s0; + *(__global float *)(dst_addr + 17 * dst_stride_z) = out2.s1; + *(__global float *)(dst_addr + 18 * dst_stride_z) = out2.s2; + *(__global float *)(dst_addr + 19 * dst_stride_z) = out2.s3; + *(__global float *)(dst_addr + 20 * dst_stride_z) = out2.s4; + *(__global float *)(dst_addr + 21 * dst_stride_z) = out2.s5; + *(__global float *)(dst_addr + 22 * dst_stride_z) = out2.s6; + *(__global float *)(dst_addr + 23 * dst_stride_z) = out2.s7; + *(__global float *)(dst_addr + 24 * dst_stride_z) = out3.s0; + *(__global float *)(dst_addr + 25 * dst_stride_z) = out3.s1; + *(__global float *)(dst_addr + 26 * dst_stride_z) = out3.s2; + *(__global float *)(dst_addr + 27 * dst_stride_z) = out3.s3; + *(__global float *)(dst_addr + 28 * dst_stride_z) = out3.s4; + *(__global float *)(dst_addr + 29 * dst_stride_z) = out3.s5; + *(__global float *)(dst_addr + 30 * dst_stride_z) = out3.s6; + *(__global float *)(dst_addr + 31 * dst_stride_z) = out3.s7; + *(__global float *)(dst_addr + 32 * dst_stride_z) = out4.s0; + *(__global float *)(dst_addr + 33 * dst_stride_z) = out4.s1; + *(__global float *)(dst_addr + 34 * dst_stride_z) = out4.s2; + *(__global float *)(dst_addr + 35 * dst_stride_z) = out4.s3; + *(__global float *)(dst_addr + 36 * dst_stride_z) = out4.s4; + *(__global float *)(dst_addr + 37 * dst_stride_z) = out4.s5; + *(__global float *)(dst_addr + 38 * dst_stride_z) = out4.s6; + *(__global float *)(dst_addr + 39 * dst_stride_z) = out4.s7; + *(__global float *)(dst_addr + 40 * dst_stride_z) = out5.s0; + *(__global float *)(dst_addr + 41 * dst_stride_z) = out5.s1; + *(__global float *)(dst_addr + 42 * dst_stride_z) = out5.s2; + *(__global float *)(dst_addr + 43 * dst_stride_z) = out5.s3; + *(__global float *)(dst_addr + 44 * dst_stride_z) = out5.s4; + *(__global float *)(dst_addr + 45 * dst_stride_z) = out5.s5; + *(__global float *)(dst_addr + 46 * dst_stride_z) = out5.s6; + *(__global float *)(dst_addr + 47 * dst_stride_z) = out5.s7; + *(__global float *)(dst_addr + 48 * dst_stride_z) = out6.s0; + *(__global float *)(dst_addr + 49 * dst_stride_z) = out6.s1; + *(__global float *)(dst_addr + 50 * dst_stride_z) = out6.s2; + *(__global float *)(dst_addr + 51 * dst_stride_z) = out6.s3; + *(__global float *)(dst_addr + 52 * dst_stride_z) = out6.s4; + *(__global float *)(dst_addr + 53 * dst_stride_z) = out6.s5; + *(__global float *)(dst_addr + 54 * dst_stride_z) = out6.s6; + *(__global float *)(dst_addr + 55 * dst_stride_z) = out6.s7; + *(__global float *)(dst_addr + 56 * dst_stride_z) = out7.s0; + *(__global float *)(dst_addr + 57 * dst_stride_z) = out7.s1; + *(__global float *)(dst_addr + 58 * dst_stride_z) = out7.s2; + *(__global float *)(dst_addr + 59 * dst_stride_z) = out7.s3; + *(__global float *)(dst_addr + 60 * dst_stride_z) = out7.s4; + *(__global float *)(dst_addr + 61 * dst_stride_z) = out7.s5; + *(__global float *)(dst_addr + 62 * dst_stride_z) = out7.s6; + *(__global float *)(dst_addr + 63 * dst_stride_z) = out7.s7; +} +#endif // defined(SRC_DIM_Z)
\ No newline at end of file diff --git a/src/core/CL/cl_kernels/winograd_input_transform.cl b/src/core/CL/cl_kernels/winograd_input_transform.cl new file mode 100644 index 0000000000..4662426a72 --- /dev/null +++ b/src/core/CL/cl_kernels/winograd_input_transform.cl @@ -0,0 +1,1623 @@ +/* + * Copyright (c) 2018 ARM Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#include "helpers.h" + +#if defined(NUM_TILES_X) && defined(PAD_LEFT) && defined(PAD_TOP) && defined(OUTPUT_TILE_W) && defined(OUTPUT_TILE_H) +/** This OpenCL kernel computes the input transform when the kernel size is 3x3/3x1 or 1x3 and the output tile is 2x2/2x1 or 1x2 + * + * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). + * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 + * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time + * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source image. Supported data types: F32 + * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) + * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_input_transform_2x2_3x3_stepz1_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + int x = get_global_id(0); + int y = get_global_id(1); + int z = get_global_id(2); + + // Compute input address + __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * sizeof(float) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z; + + src_addr = src_addr - ((int)PAD_LEFT * sizeof(float)) - ((int)PAD_TOP * src_stride_y); + +#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) + float4 in_row0 = vload4(0, (__global float *)(src_addr)); +#elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) + float4 in_row0 = (float4)(*((__global float *)(src_addr + 0 * src_stride_y)), + *((__global float *)(src_addr + 1 * src_stride_y)), + *((__global float *)(src_addr + 2 * src_stride_y)), + *((__global float *)(src_addr + 3 * src_stride_y))); +#else // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + float4 in_row0 = vload4(0, (__global float *)(src_addr + 0 * src_stride_y)); + float4 in_row1 = vload4(0, (__global float *)(src_addr + 1 * src_stride_y)); + float4 in_row2 = vload4(0, (__global float *)(src_addr + 2 * src_stride_y)); + float4 in_row3 = vload4(0, (__global float *)(src_addr + 3 * src_stride_y)); +#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + + float4 tmp0 = in_row0; + +#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + tmp0 -= in_row2; +#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + + float out00 = tmp0.s0 - tmp0.s2; + float out01 = tmp0.s1 + tmp0.s2; + float out02 = tmp0.s2 - tmp0.s1; + float out03 = tmp0.s1 - tmp0.s3; + +#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + float4 tmp1 = in_row1 + in_row2; + float4 tmp2 = in_row2 - in_row1; + float4 tmp3 = in_row1 - in_row3; + + float out10 = tmp1.s0 - tmp1.s2; + float out11 = tmp1.s1 + tmp1.s2; + float out12 = tmp1.s2 - tmp1.s1; + float out13 = tmp1.s1 - tmp1.s3; + + float out20 = tmp2.s0 - tmp2.s2; + float out21 = tmp2.s1 + tmp2.s2; + float out22 = tmp2.s2 - tmp2.s1; + float out23 = tmp2.s1 - tmp2.s3; + + float out30 = tmp3.s0 - tmp3.s2; + float out31 = tmp3.s1 + tmp3.s2; + float out32 = tmp3.s2 - tmp3.s1; + float out33 = tmp3.s1 - tmp3.s3; +#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + + __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * sizeof(float) + (x + y * (int)NUM_TILES_X) * dst_stride_y; + + *((__global float *)(dst_addr + 0 * dst_stride_z)) = out00; // in_row0.s0; out00; + *((__global float *)(dst_addr + 1 * dst_stride_z)) = out01; // in_row0.s1; out01; + *((__global float *)(dst_addr + 2 * dst_stride_z)) = out02; // in_row0.s2; out02; + *((__global float *)(dst_addr + 3 * dst_stride_z)) = out03; // in_row0.s3; out03; + +#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + *((__global float *)(dst_addr + 4 * dst_stride_z)) = out10; + *((__global float *)(dst_addr + 5 * dst_stride_z)) = out11; + *((__global float *)(dst_addr + 6 * dst_stride_z)) = out12; + *((__global float *)(dst_addr + 7 * dst_stride_z)) = out13; + *((__global float *)(dst_addr + 8 * dst_stride_z)) = out20; + *((__global float *)(dst_addr + 9 * dst_stride_z)) = out21; + *((__global float *)(dst_addr + 10 * dst_stride_z)) = out22; + *((__global float *)(dst_addr + 11 * dst_stride_z)) = out23; + *((__global float *)(dst_addr + 12 * dst_stride_z)) = out30; + *((__global float *)(dst_addr + 13 * dst_stride_z)) = out31; + *((__global float *)(dst_addr + 14 * dst_stride_z)) = out32; + *((__global float *)(dst_addr + 15 * dst_stride_z)) = out33; +#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) +} + +/** This OpenCL kernel computes the input transform when the kernel size is 3x3/3x1 or 1x3, the output tile is 2x2/2x1 or 1x2 and the number of channels is multiple of 2 + * + * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). + * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 + * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time + * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source image. Supported data types: F32 + * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) + * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_input_transform_2x2_3x3_stepz2_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + int x = get_global_id(0); + int y = get_global_id(1); + int z = get_global_id(2) * 2; + + // Compute input address + __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * sizeof(float) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z; + + src_addr = src_addr - ((int)PAD_LEFT * sizeof(float)) - ((int)PAD_TOP * src_stride_y); + +#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) + float4 in_row0 = vload4(0, (__global float *)(src_addr)); +#elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) + float4 in_row0 = (float4)(*((__global float *)(src_addr + 0 * src_stride_y)), + *((__global float *)(src_addr + 1 * src_stride_y)), + *((__global float *)(src_addr + 2 * src_stride_y)), + *((__global float *)(src_addr + 3 * src_stride_y))); +#else // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + float4 in_row0 = vload4(0, (__global float *)(src_addr + 0 * src_stride_y)); + float4 in_row1 = vload4(0, (__global float *)(src_addr + 1 * src_stride_y)); + float4 in_row2 = vload4(0, (__global float *)(src_addr + 2 * src_stride_y)); + float4 in_row3 = vload4(0, (__global float *)(src_addr + 3 * src_stride_y)); +#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + + src_addr += src_stride_z; +#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) + float4 in_row4 = vload4(0, (__global float *)(src_addr)); +#elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) + float4 in_row4 = (float4)(*((__global float *)(src_addr + 0 * src_stride_y)), + *((__global float *)(src_addr + 1 * src_stride_y)), + *((__global float *)(src_addr + 2 * src_stride_y)), + *((__global float *)(src_addr + 3 * src_stride_y))); +#else // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + float4 in_row4 = vload4(0, (__global float *)(src_addr + 0 * src_stride_y)); + float4 in_row5 = vload4(0, (__global float *)(src_addr + 1 * src_stride_y)); + float4 in_row6 = vload4(0, (__global float *)(src_addr + 2 * src_stride_y)); + float4 in_row7 = vload4(0, (__global float *)(src_addr + 3 * src_stride_y)); +#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + + float4 tmp0 = in_row0; + float4 tmp4 = in_row4; + +#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + tmp0 -= in_row2; + tmp4 -= in_row6; +#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + + float2 out00 = (float2)(tmp0.s0 - tmp0.s2, tmp4.s0 - tmp4.s2); + float2 out01 = (float2)(tmp0.s1 + tmp0.s2, tmp4.s1 + tmp4.s2); + float2 out02 = (float2)(tmp0.s2 - tmp0.s1, tmp4.s2 - tmp4.s1); + float2 out03 = (float2)(tmp0.s1 - tmp0.s3, tmp4.s1 - tmp4.s3); + +#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + float4 tmp1 = in_row1 + in_row2; + float4 tmp2 = in_row2 - in_row1; + float4 tmp3 = in_row1 - in_row3; + + float4 tmp5 = in_row5 + in_row6; + float4 tmp6 = in_row6 - in_row5; + float4 tmp7 = in_row5 - in_row7; + + float2 out10 = (float2)(tmp1.s0 - tmp1.s2, tmp5.s0 - tmp5.s2); + float2 out11 = (float2)(tmp1.s1 + tmp1.s2, tmp5.s1 + tmp5.s2); + float2 out12 = (float2)(tmp1.s2 - tmp1.s1, tmp5.s2 - tmp5.s1); + float2 out13 = (float2)(tmp1.s1 - tmp1.s3, tmp5.s1 - tmp5.s3); + + float2 out20 = (float2)(tmp2.s0 - tmp2.s2, tmp6.s0 - tmp6.s2); + float2 out21 = (float2)(tmp2.s1 + tmp2.s2, tmp6.s1 + tmp6.s2); + float2 out22 = (float2)(tmp2.s2 - tmp2.s1, tmp6.s2 - tmp6.s1); + float2 out23 = (float2)(tmp2.s1 - tmp2.s3, tmp6.s1 - tmp6.s3); + + float2 out30 = (float2)(tmp3.s0 - tmp3.s2, tmp7.s0 - tmp7.s2); + float2 out31 = (float2)(tmp3.s1 + tmp3.s2, tmp7.s1 + tmp7.s2); + float2 out32 = (float2)(tmp3.s2 - tmp3.s1, tmp7.s2 - tmp7.s1); + float2 out33 = (float2)(tmp3.s1 - tmp3.s3, tmp7.s1 - tmp7.s3); +#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + + __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * sizeof(float) + (x + y * (int)NUM_TILES_X) * dst_stride_y; + + vstore2(out00, 0, (__global float *)(dst_addr + 0 * dst_stride_z)); + vstore2(out01, 0, (__global float *)(dst_addr + 1 * dst_stride_z)); + vstore2(out02, 0, (__global float *)(dst_addr + 2 * dst_stride_z)); + vstore2(out03, 0, (__global float *)(dst_addr + 3 * dst_stride_z)); + +#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + vstore2(out10, 0, (__global float *)(dst_addr + 4 * dst_stride_z)); + vstore2(out11, 0, (__global float *)(dst_addr + 5 * dst_stride_z)); + vstore2(out12, 0, (__global float *)(dst_addr + 6 * dst_stride_z)); + vstore2(out13, 0, (__global float *)(dst_addr + 7 * dst_stride_z)); + vstore2(out20, 0, (__global float *)(dst_addr + 8 * dst_stride_z)); + vstore2(out21, 0, (__global float *)(dst_addr + 9 * dst_stride_z)); + vstore2(out22, 0, (__global float *)(dst_addr + 10 * dst_stride_z)); + vstore2(out23, 0, (__global float *)(dst_addr + 11 * dst_stride_z)); + vstore2(out30, 0, (__global float *)(dst_addr + 12 * dst_stride_z)); + vstore2(out31, 0, (__global float *)(dst_addr + 13 * dst_stride_z)); + vstore2(out32, 0, (__global float *)(dst_addr + 14 * dst_stride_z)); + vstore2(out33, 0, (__global float *)(dst_addr + 15 * dst_stride_z)); +#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) +} + +/** This OpenCL kernel computes the input transform when the output tile is 4x4, the filter size 3x3 and the data layout is NCHW + * + * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). + * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 + * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time + * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source image. Supported data types: F32 + * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) + * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_input_transform_4x4_3x3_stepz1_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + int x = get_global_id(0); + int y = get_global_id(1); + int z = get_global_id(2); + + // Compute input address + __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * sizeof(float) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z; + + src_addr = src_addr - ((int)PAD_LEFT * sizeof(float)) - ((int)PAD_TOP * src_stride_y); + +#if defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + // Row0 + float4 d00 = (float4)(*((__global float *)(src_addr + 0 * src_stride_y)), + *((__global float *)(src_addr + 1 * src_stride_y)), + *((__global float *)(src_addr + 2 * src_stride_y)), + *((__global float *)(src_addr + 3 * src_stride_y))); + float2 d01 = (float2)(*((__global float *)(src_addr + 4 * src_stride_y)), + *((__global float *)(src_addr + 5 * src_stride_y))); +#else // defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + // Row0 + float4 d00 = vload4(0, (__global float *)(src_addr + 0 * src_stride_y)); + float2 d01 = vload2(2, (__global float *)(src_addr + 0 * src_stride_y)); +#endif // defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + + float out0 = 0.0f; + float out1 = 0.0f; + float out2 = 0.0f; + float out3 = 0.0f; + float out4 = 0.0f; + float out5 = 0.0f; + + // Channels [0, 5]: [out00, out01, out02, out03, out04, out05] + out0 += 16.0f * d00.s0 - 20.0f * d00.s2 + 4.0f * d01.s0; + out1 += -16.0f * d00.s1 - 16.0f * d00.s2 + 4.0f * d00.s3 + 4.0f * d01.s0; + out2 += 16.0f * d00.s1 - 16.0f * d00.s2 - 4.0f * d00.s3 + 4.0f * d01.s0; + out3 += -8.0f * d00.s1 - 4.0f * d00.s2 + 8.0f * d00.s3 + 4.0f * d01.s0; + out4 += 8.0f * d00.s1 - 4.0f * d00.s2 - 8.0f * d00.s3 + 4.0f * d01.s0; + out5 += 16.0f * d00.s1 - 20.0f * d00.s3 + 4.0f * d01.s1; + +#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + // Row4 + float4 d40 = vload4(0, (__global float *)(src_addr + 4 * src_stride_y)); + float2 d41 = vload2(2, (__global float *)(src_addr + 4 * src_stride_y)); + + // k0, k1, k2, k3, k4, k5 are common terms for row0, row1, row2, row3 and row4 + float k0 = d41.s0; + float k1 = d41.s0; + float k2 = d41.s0; + float k3 = d41.s0; + float k4 = d41.s0; + float k5 = 0.0f; + + k0 += 4.0f * d40.s0 - 5.0f * d40.s2; + k1 += -4.0f * d40.s1 - 4.0f * d40.s2 + d40.s3; + k2 += 4.0f * d40.s1 - 4.0f * d40.s2 - d40.s3; + k3 += -2.0f * d40.s1 + 2.0f * d40.s3 - d40.s2; + k4 += 2.0f * d40.s1 - 2.0f * d40.s3 - d40.s2; + k5 += 4.0f * d40.s1 - 5.0f * d40.s3 + d41.s1; + + out0 += k0; + out1 += k1; + out2 += k2; + out3 += k3; + out4 += k4; + out5 += k5; + + // Row2 + float4 d20 = vload4(0, (__global float *)(src_addr + 2 * src_stride_y)); + float2 d21 = vload2(2, (__global float *)(src_addr + 2 * src_stride_y)); + + out0 += -20.0f * d20.s0 + 25.0f * d20.s2 - 5.0f * d21.s0; + out1 += +20.0f * d20.s1 + 20.0f * d20.s2 - 5.0f * d20.s3 - 5.0f * d21.s0; + out2 += -20.0f * d20.s1 + 20.0f * d20.s2 + 5.0f * d20.s3 - 5.0f * d21.s0; + out3 += +10.0f * d20.s1 + 5.0f * d20.s2 - 10.0f * d20.s3 - 5.0f * d21.s0; + out4 += -10.0f * d20.s1 + 5.0f * d20.s2 + 10.0f * d20.s3 - 5.0f * d21.s0; + out5 += -20.0f * d20.s1 + 25.0f * d20.s3 - 5.0f * d21.s1; +#endif // #if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + + // Compute destination address + __global float *dst_addr = (__global float *)(dst_ptr + dst_offset_first_element_in_bytes + z * sizeof(float) + (x + y * (int)NUM_TILES_X) * dst_stride_y); + + uint dst_plane_stride = dst_stride_z / sizeof(float); + + *(dst_addr) = out0; + dst_addr += dst_plane_stride; + *(dst_addr) = out1; + dst_addr += dst_plane_stride; + *(dst_addr) = out2; + dst_addr += dst_plane_stride; + *(dst_addr) = out3; + dst_addr += dst_plane_stride; + *(dst_addr) = out4; + dst_addr += dst_plane_stride; + *(dst_addr) = out5; + dst_addr += dst_plane_stride; + +#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + float out6 = k0; + float out7 = k1; + float out8 = k2; + float out9 = k3; + float out10 = k4; + float out11 = k5; + float out12 = k0; + float out13 = k1; + float out14 = k2; + float out15 = k3; + float out16 = k4; + float out17 = k5; + float out18 = k0; + float out19 = k1; + float out20 = k2; + float out21 = k3; + float out22 = k4; + float out23 = k5; + float out24 = k0; + float out25 = k1; + float out26 = k2; + float out27 = k3; + float out28 = k4; + float out29 = k5; + + // Row1 + float4 d10 = vload4(0, (__global float *)(src_addr + 1 * src_stride_y)); + float2 d11 = vload2(2, (__global float *)(src_addr + 1 * src_stride_y)); + + // Row3 + float4 d30 = vload4(0, (__global float *)(src_addr + 3 * src_stride_y)); + float2 d31 = vload2(2, (__global float *)(src_addr + 3 * src_stride_y)); + + // Compute common parts for the channels between [6, 29] + // Channels [6, 11]: [out10, out11, out12, out13, out14, out15] + // Channels [12, 17]: [out20, out21, out22, out23, out24, out25] + float part0 = -16.0f * d20.s0 + 20.0f * d20.s2 - 4.0f * d21.s0; + float part1 = 16.0f * d10.s0 - 20.0f * d10.s2 + 4.0f * d11.s0 - 4.0f * d30.s0 + 5.0f * d30.s2 - d31.s0; + float part2 = 16.0f * d20.s2 - 4.0f * d21.s0; + float part3 = 16.0f * d20.s1 - 4.0f * d20.s3; + float part4 = 16.0f * d10.s2 - 4.0f * d11.s0 - 4.0f * d30.s2 + d31.s0; + float part5 = 16.0f * d10.s1 - 4.0f * d10.s3 - 4.0f * d30.s1 + d30.s3; + float part6 = 4.0f * d20.s2 - 4.0f * d21.s0; + float part7 = 8.0f * d10.s1 - 8.0f * d10.s3 - 2.0f * d30.s1 + 2.0f * d30.s3; + float part8 = 4.0f * d10.s2 - 4.0f * d11.s0 - d30.s2 + d31.s0; + float part9 = 8.0f * d20.s1 - 8.0f * d20.s3; + float part10 = -16.0f * d20.s1 + 20.0f * d20.s3 - 4.0f * d21.s1; + float part11 = -16.0f * d10.s1 + 20.0f * d10.s3 - 4.0f * d11.s1 + 4.0f * d30.s1 - 5.0f * d30.s3 + d31.s1; + + // Channels [18, 23]: [out30, out31, out32, out33, out34, out35] + // Channels [24, 29]: [out40, out41, out42, out43, out44, out45] + float part12 = 8.0f * d10.s0 - 10.0f * d10.s2 + 2.0f * d11.s0 - 8.0f * d30.s0 + 10.0f * d30.s2 - 2.0f * d31.s0; + float part13 = part0 * 0.25f; // -4.0f * d20.s0 + 5.0f * d20.s2 - d21.s0 + float part14 = part2 * 0.25f; // 4.0f * d20.s2 - d21.s0 + float part15 = 8.0f * d10.s1 - 2.0f * d10.s3 - 8.0f * d30.s1 + 2.0f * d30.s3; + float part16 = 8.0f * d10.s2 - 2.0f * d11.s0 - 8.0f * d30.s2 + 2.0f * d31.s0; + float part17 = part3 * 0.25f; // 4.0f * d20.s1 - d20.s3 + float part18 = part6 * 0.25f; // d20.s2 - d21.s0 + float part19 = 4.0f * d10.s1 - 4.0f * d10.s3 - 4.0f * d30.s1 + 4.0f * d30.s3; + float part20 = 2.0f * d10.s2 - 2.0f * d11.s0 - 2.0f * d30.s2 + 2.0f * d31.s0; + float part21 = part9 * 0.25f; // 2.0f * (d20.s1 - d20.s3) + float part22 = part10 * 0.25f; // - 4.0f * d20.s1 + 5.0f * d20.s3 - d21.s1 + float part23 = part11 * 0.5f + 6.0f * d30.s1 - 7.5f * d30.s3 + 1.5f * d31.s1; // - 8.0f * d10.s1 + 10.0f * d10.s3 - 2.0f * d11.s1 + 8.0f * d30.s1 - 10.0f * d30.s3 + 2.0f * d31.s1; + + out6 += part0 - part1; + out12 += part0 + part1; + out7 += part2 + part3 + part4 + part5; + out8 += part2 - part3 + part4 - part5; + out13 += part2 + part3 - part4 - part5; + out14 += part2 - part3 - part4 + part5; + out9 += part6 + part7 + part8 + part9; + out10 += part6 - part7 + part8 - part9; + out15 += part6 - part7 - part8 + part9; + out16 += part6 + part7 - part8 - part9; + out11 += part10 + part11; + out17 += part10 - part11; + + out18 += part13 - part12; + out24 += part13 + part12; + out19 += part14 + part15 + part16 + part17; + out20 += part14 - part15 + part16 - part17; + out25 += part14 - part15 - part16 + part17; + out26 += part14 + part15 - part16 - part17; + out21 += part18 + part19 + part20 + part21; + out22 += part18 - part19 + part20 - part21; + out27 += part18 - part19 - part20 + part21; + out28 += part18 + part19 - part20 - part21; + out23 += part22 + part23; + out29 += part22 - part23; + + *(dst_addr) = out6; + dst_addr += dst_plane_stride; + *(dst_addr) = out7; + dst_addr += dst_plane_stride; + *(dst_addr) = out8; + dst_addr += dst_plane_stride; + *(dst_addr) = out9; + dst_addr += dst_plane_stride; + *(dst_addr) = out10; + dst_addr += dst_plane_stride; + *(dst_addr) = out11; + dst_addr += dst_plane_stride; + *(dst_addr) = out12; + dst_addr += dst_plane_stride; + *(dst_addr) = out13; + dst_addr += dst_plane_stride; + *(dst_addr) = out14; + dst_addr += dst_plane_stride; + *(dst_addr) = out15; + dst_addr += dst_plane_stride; + *(dst_addr) = out16; + dst_addr += dst_plane_stride; + *(dst_addr) = out17; + dst_addr += dst_plane_stride; + + *(dst_addr) = out18; + dst_addr += dst_plane_stride; + *(dst_addr) = out19; + dst_addr += dst_plane_stride; + *(dst_addr) = out20; + dst_addr += dst_plane_stride; + *(dst_addr) = out21; + dst_addr += dst_plane_stride; + *(dst_addr) = out22; + dst_addr += dst_plane_stride; + *(dst_addr) = out23; + dst_addr += dst_plane_stride; + *(dst_addr) = out24; + dst_addr += dst_plane_stride; + *(dst_addr) = out25; + dst_addr += dst_plane_stride; + *(dst_addr) = out26; + dst_addr += dst_plane_stride; + *(dst_addr) = out27; + dst_addr += dst_plane_stride; + *(dst_addr) = out28; + dst_addr += dst_plane_stride; + *(dst_addr) = out29; + dst_addr += dst_plane_stride; + + // Row5 + float4 d50 = vload4(0, (__global float *)(src_addr + 5 * src_stride_y)); + float2 d51 = vload2(2, (__global float *)(src_addr + 5 * src_stride_y)); + + // Channels [30, 35] + out0 = 16.0f * d10.s0 - 20.0f * d10.s2 - 20.0f * d30.s0 + 25.0f * d30.s2 + 4.0f * d50.s0 - 5.0f * d50.s2 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0; + out1 = -16.0f * d10.s1 - 16.0f * d10.s2 + 4.0f * d10.s3 + 20.0f * d30.s1 + 20.0f * d30.s2 - 5.0f * d30.s3 - 4.0f * d50.s1 - 4.0f * d50.s2 + d50.s3 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0; + out2 = 16.0f * d10.s1 - 16.0f * d10.s2 - 4.0f * d10.s3 - 20.0f * d30.s1 + 20.0f * d30.s2 + 5.0f * d30.s3 + 4.0f * d50.s1 - 4.0f * d50.s2 - d50.s3 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0; + out3 = -8.0f * d10.s1 - 4.0f * d10.s2 + 8.0f * d10.s3 + 10.0f * d30.s1 - 10.0f * d30.s3 + 5.0f * d30.s2 - 2.0f * d50.s1 + 2.0f * d50.s3 - d50.s2 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0; + out4 = 8.0f * d10.s1 - 4.0f * d10.s2 - 8.0f * d10.s3 - 10.0f * d30.s1 + 5.0f * d30.s2 + 10.0f * d30.s3 + 2.0f * d50.s1 - 2.0f * d50.s3 - d50.s2 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0; + out5 = 16.0f * d10.s1 - 20.0f * d10.s3 + 4.0f * d11.s1 - 20.0f * d30.s1 + 25.0f * d30.s3 - 5.0f * d31.s1 + 4.0f * d50.s1 - 5.0f * d50.s3 + d51.s1; + + *(dst_addr) = out0; + dst_addr += dst_plane_stride; + *(dst_addr) = out1; + dst_addr += dst_plane_stride; + *(dst_addr) = out2; + dst_addr += dst_plane_stride; + *(dst_addr) = out3; + dst_addr += dst_plane_stride; + *(dst_addr) = out4; + dst_addr += dst_plane_stride; + *(dst_addr) = out5; + dst_addr += dst_plane_stride; +#endif // #if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) +} + +#if defined(SRC_DIM_1) && defined(SRC_DIM_2) +/** This OpenCL kernel computes the input transform when the output tile is 4x4, the filter size 3x3 and the data layout is NHWC + * + * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). + * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). + * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112) + * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112) + * + * @param[in] src_ptr Pointer to the source image. Supported data types: F32 + * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) + * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_input_transform_4x4_3x3_stepz1_nhwc( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + int x = get_global_id(0); + int y = get_global_id(1); + int z = get_global_id(2); + + __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * src_stride_x; + + // Clamp coordinates. This clamp is valid for all rows + int4 y_coord0 = (int4)(y * 4) + (int4)(0, 1, 2, 3) - (int4)PAD_LEFT; + int2 y_coord1 = (int2)(y * 4) + (int2)(4, 5) - (int2)PAD_LEFT; + y_coord0 = clamp(y_coord0, -1, SRC_DIM_1); + y_coord1 = clamp(y_coord1, -1, SRC_DIM_1); + + // Row4 + int z_coord = (z * 4) - PAD_TOP + 4; + + // If z < 0, set y to -1 + int4 valid_y0 = select(y_coord0, -1, (int4)z_coord < 0); + int2 valid_y1 = select(y_coord1, -1, (int2)z_coord < 0); + // If z >= SRC_DIM_2, set y to SRC_DIM_2 + valid_y0 = select(valid_y0, SRC_DIM_1, (int4)z_coord >= SRC_DIM_2); + valid_y1 = select(valid_y1, SRC_DIM_1, (int2)z_coord >= SRC_DIM_2); + + // Clamp z coordinate + z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); + + float d40 = *(__global float *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); + float d41 = *(__global float *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); + float d42 = *(__global float *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); + float d43 = *(__global float *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); + float d44 = *(__global float *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); + float d45 = *(__global float *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); + + float k0 = d44; + float k1 = d44; + float k2 = d44; + float k3 = d44; + float k4 = d44; + float k5 = (float)0.0f; + + k0 += 4.0f * d40 - 5.0f * d42; + k1 += -4.0f * d41 - 4.0f * d42 + d43; + k2 += 4.0f * d41 - 4.0f * d42 - d43; + k3 += -2.0f * d41 + 2.0f * d43 - d42; + k4 += 2.0f * d41 - 2.0f * d43 - d42; + k5 += 4.0f * d41 - 5.0f * d43 + d45; + + // Row0 + z_coord = (z * 4) - PAD_TOP + 0; + +#if PAD_TOP != 0 + valid_y0 = select(y_coord0, -1, (int4)z_coord < 0); + valid_y1 = select(y_coord1, -1, (int2)z_coord < 0); + valid_y0 = select(valid_y0, SRC_DIM_1, (int4)z_coord >= SRC_DIM_2); + valid_y1 = select(valid_y1, SRC_DIM_1, (int2)z_coord >= SRC_DIM_2); + z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); +#else // PAD_TOP != 0 + valid_y0 = y_coord0; + valid_y1 = y_coord1; +#endif // if PAD_TOP == 0, we cannot read out of bound + + float d00 = *(__global float *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); + float d01 = *(__global float *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); + float d02 = *(__global float *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); + float d03 = *(__global float *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); + float d04 = *(__global float *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); + float d05 = *(__global float *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); + + // Row2 + z_coord = (z * 4) - PAD_TOP + 2; + valid_y0 = select(y_coord0, -1, (int4)z_coord < 0); + valid_y1 = select(y_coord1, -1, (int2)z_coord < 0); + valid_y0 = select(valid_y0, SRC_DIM_1, (int4)z_coord >= SRC_DIM_2); + valid_y1 = select(valid_y1, SRC_DIM_1, (int2)z_coord >= SRC_DIM_2); + z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); + + float d20 = *(__global float *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); + float d21 = *(__global float *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); + float d22 = *(__global float *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); + float d23 = *(__global float *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); + float d24 = *(__global float *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); + float d25 = *(__global float *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); + + // Compute destination address + __global float *dst_addr = (__global float *)(dst_ptr + dst_offset_first_element_in_bytes + x * dst_stride_x + (y + z * (int)NUM_TILES_X) * dst_stride_y); + + uint dst_plane_stride = dst_stride_z / sizeof(float); + + float out0 = k0; + float out1 = k1; + float out2 = k2; + float out3 = k3; + float out4 = k4; + float out5 = k5; + float out6 = k0; + float out7 = k1; + float out8 = k2; + float out9 = k3; + float out10 = k4; + float out11 = k5; + float out12 = k0; + float out13 = k1; + float out14 = k2; + float out15 = k3; + float out16 = k4; + float out17 = k5; + float out18 = k0; + float out19 = k1; + float out20 = k2; + float out21 = k3; + float out22 = k4; + float out23 = k5; + float out24 = k0; + float out25 = k1; + float out26 = k2; + float out27 = k3; + float out28 = k4; + float out29 = k5; + + // Channels [0, 5]: [out00, out01, out02, out03, out04, out05] + out0 += 16.0f * d00 - 20.0f * d02 - 20.0f * d20 + 25.0f * d22 + 4.0f * d04 - 5.0f * d24; + out1 += -16.0f * d01 - 16.0f * d02 + 4.0f * d03 + 20.0f * d21 + 20.0f * d22 - 5.0f * d23 + 4.0f * d04 - 5.0f * d24; + out2 += 16.0f * d01 - 16.0f * d02 - 4.0f * d03 - 20.0f * d21 + 20.0f * d22 + 5.0f * d23 + 4.0f * d04 - 5.0f * d24; + out3 += -8.0f * d01 - 4.0f * d02 + 8.0f * d03 + 10.0f * d21 + 5.0f * d22 - 10.0f * d23 + 4.0f * d04 - 5.0f * d24; + out4 += 8.0f * d01 - 4.0f * d02 - 8.0f * d03 - 10.0f * d21 + 5.0f * d22 + 10.0f * d23 + 4.0f * d04 - 5.0f * d24; + out5 += 16.0f * d01 - 20.0f * d03 - 20.0f * d21 + 4.0f * d05 + 25.0f * d23 - 5.0f * d25; + + *((__global float *)dst_addr) = out0; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out1; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out2; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out3; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out4; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out5; + dst_addr += dst_plane_stride; + + // Row1 + z_coord = (z * 4) - PAD_TOP + 1; + // Row1 can never be out of bounds + valid_y0 = y_coord0; + valid_y1 = y_coord1; + + float d10 = *(__global float *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); + float d11 = *(__global float *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); + float d12 = *(__global float *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); + float d13 = *(__global float *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); + float d14 = *(__global float *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); + float d15 = *(__global float *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); + + // Row3 + z_coord = (z * 4) - PAD_TOP + 3; + valid_y0 = select(y_coord0, -1, (int4)z_coord < 0); + valid_y1 = select(y_coord1, -1, (int2)z_coord < 0); + valid_y0 = select(valid_y0, SRC_DIM_1, (int4)z_coord >= SRC_DIM_2); + valid_y1 = select(valid_y1, SRC_DIM_1, (int2)z_coord >= SRC_DIM_2); + z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); + z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); + + float d30 = *(__global float *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); + float d31 = *(__global float *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); + float d32 = *(__global float *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); + float d33 = *(__global float *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); + float d34 = *(__global float *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); + float d35 = *(__global float *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); + + // Compute common parts for the channels between [6, 29] + // Channels [6, 11]: [out10, out11, out12, out13, out14, out15] + // Channels [12, 17]: [out20, out21, out22, out23, out24, out25] + float part0 = -16.0f * d20 + 20.0f * d22 - 4.0f * d24; + float part1 = 16.0f * d10 - 20.0f * d12 + 4.0f * d14 - 4.0f * d30 + 5.0f * d32 - d34; + float part2 = 16.0f * d22 - 4.0f * d24; + float part3 = 16.0f * d21 - 4.0f * d23; + float part4 = 16.0f * d12 - 4.0f * d14 - 4.0f * d32 + d34; + float part5 = 16.0f * d11 - 4.0f * d13 - 4.0f * d31 + d33; + float part6 = 4.0f * d22 - 4.0f * d24; + float part7 = 8.0f * d11 - 8.0f * d13 - 2.0f * d31 + 2.0f * d33; + float part8 = 4.0f * d12 - 4.0f * d14 - d32 + d34; + float part9 = 8.0f * d21 - 8.0f * d23; + float part10 = -16.0f * d21 + 20.0f * d23 - 4.0f * d25; + float part11 = -16.0f * d11 + 20.0f * d13 - 4.0f * d15 + 4.0f * d31 - 5.0f * d33 + d35; + + // Channels [18, 23]: [out30, out31, out32, out33, out34, out35] + // Channels [24, 29]: [out40, out41, out42, out43, out44, out45] + float part12 = 8.0f * d10 - 10.0f * d12 + 2.0f * d14 - 8.0f * d30 + 10.0f * d32 - 2.0f * d34; + float part13 = part0 * 0.25f; // -4.0f * d20 + 5.0f * d22 - d24 + float part14 = part2 * 0.25f; // 4.0f * d22 - d24 + float part15 = 8.0f * d11 - 2.0f * d13 - 8.0f * d31 + 2.0f * d33; + float part16 = 8.0f * d12 - 2.0f * d14 - 8.0f * d32 + 2.0f * d34; + float part17 = part3 * 0.25f; // 4.0f * d21 - d23 + float part18 = part6 * 0.25f; // d22 - d24 + float part19 = 4.0f * d11 - 4.0f * d13 - 4.0f * d31 + 4.0f * d33; + float part20 = 2.0f * d12 - 2.0f * d14 - 2.0f * d32 + 2.0f * d34; + float part21 = part9 * 0.25f; // 2.0f * (d21 - d23) + float part22 = part10 * 0.25f; // - 4.0f * d21 + 5.0f * d23 - d25 + float part23 = part11 * 0.5f + 6.0f * d31 - 7.5f * d33 + 1.5f * d35; // - 8.0f * d11 + 10.0f * d13 - 2.0f * d15 + 8.0f * d31 - 10.0f * d33 + 2.0f * d35; + + out6 += part0 - part1; + out12 += part0 + part1; + out7 += part2 + part3 + part4 + part5; + out8 += part2 - part3 + part4 - part5; + out13 += part2 + part3 - part4 - part5; + out14 += part2 - part3 - part4 + part5; + out9 += part6 + part7 + part8 + part9; + out10 += part6 - part7 + part8 - part9; + out15 += part6 - part7 - part8 + part9; + out16 += part6 + part7 - part8 - part9; + out11 += part10 + part11; + out17 += part10 - part11; + + out18 += part13 - part12; + out24 += part13 + part12; + out19 += part14 + part15 + part16 + part17; + out20 += part14 - part15 + part16 - part17; + out25 += part14 - part15 - part16 + part17; + out26 += part14 + part15 - part16 - part17; + out21 += part18 + part19 + part20 + part21; + out22 += part18 - part19 + part20 - part21; + out27 += part18 - part19 - part20 + part21; + out28 += part18 + part19 - part20 - part21; + out23 += part22 + part23; + out29 += part22 - part23; + + *((__global float *)dst_addr) = out6; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out7; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out8; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out9; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out10; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out11; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out12; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out13; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out14; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out15; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out16; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out17; + dst_addr += dst_plane_stride; + + *((__global float *)dst_addr) = out18; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out19; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out20; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out21; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out22; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out23; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out24; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out25; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out26; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out27; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out28; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out29; + dst_addr += dst_plane_stride; + + // Row5 + z_coord = (z * 4) - PAD_TOP + 5; + valid_y0 = select(y_coord0, -1, (int4)z_coord < 0); + valid_y1 = select(y_coord1, -1, (int2)z_coord < 0); + valid_y0 = select(valid_y0, SRC_DIM_1, (int4)z_coord >= SRC_DIM_2); + valid_y1 = select(valid_y1, SRC_DIM_1, (int2)z_coord >= SRC_DIM_2); + z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); + z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); + + float d50 = *(__global float *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); + float d51 = *(__global float *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); + float d52 = *(__global float *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); + float d53 = *(__global float *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); + float d54 = *(__global float *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); + float d55 = *(__global float *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); + + // Channels [30, 35] + out0 = 16.0f * d10 - 20.0f * d12 - 20.0f * d30 + 25.0f * d32 + 4.0f * d50 - 5.0f * d52 + d54 + 4.0f * d14 - 5.0f * d34; + out1 = -16.0f * d11 - 16.0f * d12 + 4.0f * d13 + 20.0f * d31 + 20.0f * d32 - 5.0f * d33 - 4.0f * d51 - 4.0f * d52 + d53 + d54 + 4.0f * d14 - 5.0f * d34; + out2 = 16.0f * d11 - 16.0f * d12 - 4.0f * d13 - 20.0f * d31 + 20.0f * d32 + 5.0f * d33 + 4.0f * d51 - 4.0f * d52 - d53 + d54 + 4.0f * d14 - 5.0f * d34; + out3 = -8.0f * d11 - 4.0f * d12 + 8.0f * d13 + 10.0f * d31 - 10.0f * d33 + 5.0f * d32 - 2.0f * d51 + 2.0f * d53 - d52 + d54 + 4.0f * d14 - 5.0f * d34; + out4 = 8.0f * d11 - 4.0f * d12 - 8.0f * d13 - 10.0f * d31 + 5.0f * d32 + 10.0f * d33 + 2.0f * d51 - 2.0f * d53 - d52 + d54 + 4.0f * d14 - 5.0f * d34; + out5 = 16.0f * d11 - 20.0f * d13 + 4.0f * d15 - 20.0f * d31 + 25.0f * d33 - 5.0f * d35 + 4.0f * d51 - 5.0f * d53 + d55; + + *((__global float *)dst_addr) = out0; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out1; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out2; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out3; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out4; + dst_addr += dst_plane_stride; + *((__global float *)dst_addr) = out5; + dst_addr += dst_plane_stride; +} + +#endif // defined(SRC_DIM_1) && defined(SRC_DIM_2) + +#define OUTPUT_ROW_4x4_5x5(out, tmp, comm_fact) \ + ({ \ + comm_fact.s0 = tmp.s2 - 4.25f * tmp.s4 + tmp.s6; \ + comm_fact.s1 = tmp.s1 - 4.25f * tmp.s3 + tmp.s5; \ + comm_fact.s2 = 2.5f * tmp.s3; \ + comm_fact.s3 = 0.5f * tmp.s1 + 2.f * tmp.s5 - comm_fact.s2; \ + comm_fact.s4 = 0.25f * tmp.s2 - 1.25f * tmp.s4 + tmp.s6; \ + comm_fact.s5 = 4.f * tmp.s2 + tmp.s6 - 5.f * tmp.s4; \ + comm_fact.s6 = 2.f * tmp.s1 + 0.5f * tmp.s5 - comm_fact.s2; \ + \ + out.s0 = tmp.s0 - tmp.s6 + 5.25f * tmp.s4 - 5.25f * tmp.s2; \ + out.s1 = comm_fact.s0 + comm_fact.s1; \ + out.s2 = comm_fact.s0 - comm_fact.s1; \ + out.s3 = comm_fact.s3 + comm_fact.s4; \ + out.s4 = comm_fact.s4 - comm_fact.s3; \ + out.s5 = comm_fact.s5 + comm_fact.s6; \ + out.s6 = comm_fact.s5 - comm_fact.s6; \ + out.s7 = tmp.s7 - tmp.s1 + 5.25f * tmp.s3 - 5.25f * tmp.s5; \ + }) + +/** This OpenCL kernel computes the input transform when the kernel size is 5x5 and the output tile is 4x4 when the data layout is NCHW + * + * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). + * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). + * + * @param[in] src_ptr Pointer to the source image. Supported data types: F32 + * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) + * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_input_transform_4x4_5x5_stepz1_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + int x = get_global_id(0); + int y = get_global_id(1); + int z = get_global_id(2); + + // Compute input address + __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * 4 * src_stride_x + y * 4 * src_stride_y + z * src_stride_z; + + src_addr = src_addr - ((int)PAD_LEFT * src_stride_x) - ((int)PAD_TOP * src_stride_y); + + // Load 8x8 input tile + const float8 in_row0 = vload8(0, (__global float *)(src_addr + 0 * src_stride_y)); + const float8 in_row1 = vload8(0, (__global float *)(src_addr + 1 * src_stride_y)); + const float8 in_row2 = vload8(0, (__global float *)(src_addr + 2 * src_stride_y)); + const float8 in_row3 = vload8(0, (__global float *)(src_addr + 3 * src_stride_y)); + const float8 in_row4 = vload8(0, (__global float *)(src_addr + 4 * src_stride_y)); + const float8 in_row5 = vload8(0, (__global float *)(src_addr + 5 * src_stride_y)); + const float8 in_row6 = vload8(0, (__global float *)(src_addr + 6 * src_stride_y)); + const float8 in_row7 = vload8(0, (__global float *)(src_addr + 7 * src_stride_y)); + + // Calculate common factors for intermediate tensor + float8 comm_fact0 = in_row2 + in_row6 - 4.25f * in_row4; + float8 comm_fact1 = in_row1 + in_row5 - 4.25f * in_row3; + float8 comm_fact2 = 0.25f * in_row2 - 1.25f * in_row4 + in_row6; + + // Calculate intermediate tensor and reuse common factor vectors + const float8 tmp0 = in_row0 - in_row6 + 5.25f * in_row4 - 5.25f * in_row2; + const float8 tmp1 = comm_fact0 + comm_fact1; + const float8 tmp2 = comm_fact0 - comm_fact1; + + comm_fact0 = 2.5f * in_row3; + comm_fact1 = 0.5f * in_row1 - comm_fact0 + 2.f * in_row5; + + const float8 tmp3 = comm_fact1 + comm_fact2; + const float8 tmp4 = comm_fact2 - comm_fact1; + + comm_fact1 = 2.f * in_row1 - comm_fact0 + 0.5f * in_row5; + comm_fact2 = 4.f * in_row2 - 5.f * in_row4 + in_row6; + + const float8 tmp5 = comm_fact1 + comm_fact2; + const float8 tmp6 = comm_fact2 - comm_fact1; + const float8 tmp7 = in_row7 - in_row1 + 5.25f * in_row3 - 5.25f * in_row5; + + // Calculate output rows (reuse comm_fact0 vector) + float8 out0, out1, out2, out3, out4, out5, out6, out7; + + OUTPUT_ROW_4x4_5x5(out0, tmp0, comm_fact0); + OUTPUT_ROW_4x4_5x5(out1, tmp1, comm_fact0); + OUTPUT_ROW_4x4_5x5(out2, tmp2, comm_fact0); + OUTPUT_ROW_4x4_5x5(out3, tmp3, comm_fact0); + OUTPUT_ROW_4x4_5x5(out4, tmp4, comm_fact0); + OUTPUT_ROW_4x4_5x5(out5, tmp5, comm_fact0); + OUTPUT_ROW_4x4_5x5(out6, tmp6, comm_fact0); + OUTPUT_ROW_4x4_5x5(out7, tmp7, comm_fact0); + + // Store values across the 64 channels + __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * dst_stride_x + (x + y * (int)NUM_TILES_X) * dst_stride_y; + + *((__global float *)(dst_addr + 0 * dst_stride_z)) = out0.s0; + *((__global float *)(dst_addr + 1 * dst_stride_z)) = out0.s1; + *((__global float *)(dst_addr + 2 * dst_stride_z)) = out0.s2; + *((__global float *)(dst_addr + 3 * dst_stride_z)) = out0.s3; + *((__global float *)(dst_addr + 4 * dst_stride_z)) = out0.s4; + *((__global float *)(dst_addr + 5 * dst_stride_z)) = out0.s5; + *((__global float *)(dst_addr + 6 * dst_stride_z)) = out0.s6; + *((__global float *)(dst_addr + 7 * dst_stride_z)) = out0.s7; + *((__global float *)(dst_addr + 8 * dst_stride_z)) = out1.s0; + *((__global float *)(dst_addr + 9 * dst_stride_z)) = out1.s1; + *((__global float *)(dst_addr + 10 * dst_stride_z)) = out1.s2; + *((__global float *)(dst_addr + 11 * dst_stride_z)) = out1.s3; + *((__global float *)(dst_addr + 12 * dst_stride_z)) = out1.s4; + *((__global float *)(dst_addr + 13 * dst_stride_z)) = out1.s5; + *((__global float *)(dst_addr + 14 * dst_stride_z)) = out1.s6; + *((__global float *)(dst_addr + 15 * dst_stride_z)) = out1.s7; + *((__global float *)(dst_addr + 16 * dst_stride_z)) = out2.s0; + *((__global float *)(dst_addr + 17 * dst_stride_z)) = out2.s1; + *((__global float *)(dst_addr + 18 * dst_stride_z)) = out2.s2; + *((__global float *)(dst_addr + 19 * dst_stride_z)) = out2.s3; + *((__global float *)(dst_addr + 20 * dst_stride_z)) = out2.s4; + *((__global float *)(dst_addr + 21 * dst_stride_z)) = out2.s5; + *((__global float *)(dst_addr + 22 * dst_stride_z)) = out2.s6; + *((__global float *)(dst_addr + 23 * dst_stride_z)) = out2.s7; + *((__global float *)(dst_addr + 24 * dst_stride_z)) = out3.s0; + *((__global float *)(dst_addr + 25 * dst_stride_z)) = out3.s1; + *((__global float *)(dst_addr + 26 * dst_stride_z)) = out3.s2; + *((__global float *)(dst_addr + 27 * dst_stride_z)) = out3.s3; + *((__global float *)(dst_addr + 28 * dst_stride_z)) = out3.s4; + *((__global float *)(dst_addr + 29 * dst_stride_z)) = out3.s5; + *((__global float *)(dst_addr + 30 * dst_stride_z)) = out3.s6; + *((__global float *)(dst_addr + 31 * dst_stride_z)) = out3.s7; + *((__global float *)(dst_addr + 32 * dst_stride_z)) = out4.s0; + *((__global float *)(dst_addr + 33 * dst_stride_z)) = out4.s1; + *((__global float *)(dst_addr + 34 * dst_stride_z)) = out4.s2; + *((__global float *)(dst_addr + 35 * dst_stride_z)) = out4.s3; + *((__global float *)(dst_addr + 36 * dst_stride_z)) = out4.s4; + *((__global float *)(dst_addr + 37 * dst_stride_z)) = out4.s5; + *((__global float *)(dst_addr + 38 * dst_stride_z)) = out4.s6; + *((__global float *)(dst_addr + 39 * dst_stride_z)) = out4.s7; + *((__global float *)(dst_addr + 40 * dst_stride_z)) = out5.s0; + *((__global float *)(dst_addr + 41 * dst_stride_z)) = out5.s1; + *((__global float *)(dst_addr + 42 * dst_stride_z)) = out5.s2; + *((__global float *)(dst_addr + 43 * dst_stride_z)) = out5.s3; + *((__global float *)(dst_addr + 44 * dst_stride_z)) = out5.s4; + *((__global float *)(dst_addr + 45 * dst_stride_z)) = out5.s5; + *((__global float *)(dst_addr + 46 * dst_stride_z)) = out5.s6; + *((__global float *)(dst_addr + 47 * dst_stride_z)) = out5.s7; + *((__global float *)(dst_addr + 48 * dst_stride_z)) = out6.s0; + *((__global float *)(dst_addr + 49 * dst_stride_z)) = out6.s1; + *((__global float *)(dst_addr + 50 * dst_stride_z)) = out6.s2; + *((__global float *)(dst_addr + 51 * dst_stride_z)) = out6.s3; + *((__global float *)(dst_addr + 52 * dst_stride_z)) = out6.s4; + *((__global float *)(dst_addr + 53 * dst_stride_z)) = out6.s5; + *((__global float *)(dst_addr + 54 * dst_stride_z)) = out6.s6; + *((__global float *)(dst_addr + 55 * dst_stride_z)) = out6.s7; + *((__global float *)(dst_addr + 56 * dst_stride_z)) = out7.s0; + *((__global float *)(dst_addr + 57 * dst_stride_z)) = out7.s1; + *((__global float *)(dst_addr + 58 * dst_stride_z)) = out7.s2; + *((__global float *)(dst_addr + 59 * dst_stride_z)) = out7.s3; + *((__global float *)(dst_addr + 60 * dst_stride_z)) = out7.s4; + *((__global float *)(dst_addr + 61 * dst_stride_z)) = out7.s5; + *((__global float *)(dst_addr + 62 * dst_stride_z)) = out7.s6; + *((__global float *)(dst_addr + 63 * dst_stride_z)) = out7.s7; +} + +#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) +/** This OpenCL kernel computes the input transform when the kernel size is 3x1 and the output tile is 2x1 + * + * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). + * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 + * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source image. Supported data types: F32 + * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) + * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_input_transform_2x1_3x1_stepz1_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + winograd_input_transform_2x2_3x3_stepz1_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes); +} + +/** This OpenCL kernel computes the input transform when the kernel size is 3x1, the output tile is 2x1 and the number of channels is multiple of 2 + * + * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). + * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 + * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source image. Supported data types: F32 + * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) + * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_input_transform_2x1_3x1_stepz2_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + winograd_input_transform_2x2_3x3_stepz2_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes); +} + +/** This OpenCL kernel computes the input transform when the kernel size is 3x1 and the output tile is 4x1 + * + * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). + * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 + * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source image. Supported data types: F32 + * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) + * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_input_transform_4x1_3x1_stepz1_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + winograd_input_transform_4x4_3x3_stepz1_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes); +} +#endif // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) + +#if defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) +/** This OpenCL kernel computes the input transform when the kernel size is 1x3 and the output tile is 1x2 + * + * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). + * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 + * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source image. Supported data types: F32 + * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) + * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_input_transform_1x2_1x3_stepz1_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + winograd_input_transform_2x2_3x3_stepz1_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes); +} + +/** This OpenCL kernel computes the input transform when the kernel size is 1x3, the output tile is 1x2 and the number of channels is multiple of 2 + * + * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). + * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 + * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source image. Supported data types: F32 + * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) + * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_input_transform_1x2_1x3_stepz2_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + winograd_input_transform_2x2_3x3_stepz2_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes); +} + +/** This OpenCL kernel computes the input transform when the kernel size is 1x3 and the output tile is 1x4 + * + * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). + * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 + * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source image. Supported data types: F32 + * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) + * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_input_transform_1x4_1x3_stepz1_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + winograd_input_transform_4x4_3x3_stepz1_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes); +} +#endif // defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) + +#if defined(SRC_DIM_1) && defined(SRC_DIM_2) +/** This OpenCL kernel computes the input transform when the kernel size is 5x5 and the output tile is 4x4 when the data layout is NHWC + * + * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). + * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 + * + * @param[in] src_ptr Pointer to the source image. Supported data types: F32 + * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) + * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_input_transform_4x4_5x5_stepz1_nhwc( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + int x = get_global_id(0); + int y = get_global_id(1); + int z = get_global_id(2); + + // Compute input address + __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(float); + + // Clamp coordinates. This clamp is valid for all rows + int8 y_coord = (int8)(y * 4) + (int8)(0, 1, 2, 3, 4, 5, 6, 7) - (int8)PAD_LEFT; + y_coord = clamp(y_coord, -1, SRC_DIM_1); + + // Load 8x8 input tile + float8 in_row0, in_row1, in_row2, in_row3, in_row4, in_row5, in_row6, in_row7; + + // Row0 + int z_coord = (z * 4) - PAD_TOP + 0; + int8 valid_y = select(y_coord, -1, (int8)z_coord < 0); // If z < 0, set y to -1 + valid_y = select(valid_y, SRC_DIM_1, (int8)z_coord >= SRC_DIM_2); // If z >= SRC_DIM_2, set y to SRC_DIM_2 + z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); // Clamp z coordinate + + in_row0.s0 = *(__global float *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); + in_row0.s1 = *(__global float *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); + in_row0.s2 = *(__global float *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); + in_row0.s3 = *(__global float *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); + in_row0.s4 = *(__global float *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); + in_row0.s5 = *(__global float *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); + in_row0.s6 = *(__global float *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); + in_row0.s7 = *(__global float *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); + + // Row1 + z_coord = (z * 4) - PAD_TOP + 1; + valid_y = select(y_coord, -1, (int8)z_coord < 0); + valid_y = select(valid_y, SRC_DIM_1, (int8)z_coord >= SRC_DIM_2); + z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); + + in_row1.s0 = *(__global float *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); + in_row1.s1 = *(__global float *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); + in_row1.s2 = *(__global float *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); + in_row1.s3 = *(__global float *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); + in_row1.s4 = *(__global float *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); + in_row1.s5 = *(__global float *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); + in_row1.s6 = *(__global float *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); + in_row1.s7 = *(__global float *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); + + // Row2 + z_coord = (z * 4) - PAD_TOP + 2; + valid_y = select(y_coord, -1, (int8)z_coord < 0); + valid_y = select(valid_y, SRC_DIM_1, (int8)z_coord >= SRC_DIM_2); + z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); + + in_row2.s0 = *(__global float *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); + in_row2.s1 = *(__global float *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); + in_row2.s2 = *(__global float *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); + in_row2.s3 = *(__global float *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); + in_row2.s4 = *(__global float *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); + in_row2.s5 = *(__global float *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); + in_row2.s6 = *(__global float *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); + in_row2.s7 = *(__global float *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); + + // Row3 + z_coord = (z * 4) - PAD_TOP + 3; + valid_y = select(y_coord, -1, (int8)z_coord < 0); + valid_y = select(valid_y, SRC_DIM_1, (int8)z_coord >= SRC_DIM_2); + z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); + + in_row3.s0 = *(__global float *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); + in_row3.s1 = *(__global float *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); + in_row3.s2 = *(__global float *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); + in_row3.s3 = *(__global float *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); + in_row3.s4 = *(__global float *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); + in_row3.s5 = *(__global float *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); + in_row3.s6 = *(__global float *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); + in_row3.s7 = *(__global float *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); + + // Row4 + z_coord = (z * 4) - PAD_TOP + 4; + valid_y = select(y_coord, -1, (int8)z_coord < 0); + valid_y = select(valid_y, SRC_DIM_1, (int8)z_coord >= SRC_DIM_2); + z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); + + in_row4.s0 = *(__global float *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); + in_row4.s1 = *(__global float *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); + in_row4.s2 = *(__global float *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); + in_row4.s3 = *(__global float *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); + in_row4.s4 = *(__global float *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); + in_row4.s5 = *(__global float *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); + in_row4.s6 = *(__global float *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); + in_row4.s7 = *(__global float *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); + + // Row5 + z_coord = (z * 4) - PAD_TOP + 5; + valid_y = select(y_coord, -1, (int8)z_coord < 0); + valid_y = select(valid_y, SRC_DIM_1, (int8)z_coord >= SRC_DIM_2); + z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); + + in_row5.s0 = *(__global float *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); + in_row5.s1 = *(__global float *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); + in_row5.s2 = *(__global float *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); + in_row5.s3 = *(__global float *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); + in_row5.s4 = *(__global float *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); + in_row5.s5 = *(__global float *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); + in_row5.s6 = *(__global float *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); + in_row5.s7 = *(__global float *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); + + // Row6 + z_coord = (z * 4) - PAD_TOP + 6; + valid_y = select(y_coord, -1, (int8)z_coord < 0); + valid_y = select(valid_y, SRC_DIM_1, (int8)z_coord >= SRC_DIM_2); + z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); + + in_row6.s0 = *(__global float *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); + in_row6.s1 = *(__global float *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); + in_row6.s2 = *(__global float *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); + in_row6.s3 = *(__global float *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); + in_row6.s4 = *(__global float *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); + in_row6.s5 = *(__global float *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); + in_row6.s6 = *(__global float *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); + in_row6.s7 = *(__global float *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); + + // Row7 + z_coord = (z * 4) - PAD_TOP + 7; + valid_y = select(y_coord, -1, (int8)z_coord < 0); + valid_y = select(valid_y, SRC_DIM_1, (int8)z_coord >= SRC_DIM_2); + z_coord = clamp(z_coord, 0, SRC_DIM_2 - 1); + + in_row7.s0 = *(__global float *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); + in_row7.s1 = *(__global float *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); + in_row7.s2 = *(__global float *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); + in_row7.s3 = *(__global float *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); + in_row7.s4 = *(__global float *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); + in_row7.s5 = *(__global float *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); + in_row7.s6 = *(__global float *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); + in_row7.s7 = *(__global float *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); + + // Calculate common factors for intermediate tensor + float8 comm_fact0 = in_row2 + in_row6 - 4.25f * in_row4; + float8 comm_fact1 = in_row1 + in_row5 - 4.25f * in_row3; + float8 comm_fact2 = 0.25f * in_row2 - 1.25f * in_row4 + in_row6; + + // Calculate intermediate tensor and reuse common factor vectors + const float8 tmp0 = in_row0 - in_row6 + 5.25f * in_row4 - 5.25f * in_row2; + const float8 tmp1 = comm_fact0 + comm_fact1; + const float8 tmp2 = comm_fact0 - comm_fact1; + + comm_fact0 = 2.5f * in_row3; + comm_fact1 = 0.5f * in_row1 - comm_fact0 + 2.f * in_row5; + + const float8 tmp3 = comm_fact1 + comm_fact2; + const float8 tmp4 = comm_fact2 - comm_fact1; + + comm_fact1 = 2.f * in_row1 - comm_fact0 + 0.5f * in_row5; + comm_fact2 = 4.f * in_row2 - 5.f * in_row4 + in_row6; + + const float8 tmp5 = comm_fact1 + comm_fact2; + const float8 tmp6 = comm_fact2 - comm_fact1; + const float8 tmp7 = in_row7 - in_row1 + 5.25f * in_row3 - 5.25f * in_row5; + + // Calculate output rows (reuse comm_fact0 vector) + float8 out0, out1, out2, out3, out4, out5, out6, out7; + + OUTPUT_ROW_4x4_5x5(out0, tmp0, comm_fact0); + OUTPUT_ROW_4x4_5x5(out1, tmp1, comm_fact0); + OUTPUT_ROW_4x4_5x5(out2, tmp2, comm_fact0); + OUTPUT_ROW_4x4_5x5(out3, tmp3, comm_fact0); + OUTPUT_ROW_4x4_5x5(out4, tmp4, comm_fact0); + OUTPUT_ROW_4x4_5x5(out5, tmp5, comm_fact0); + OUTPUT_ROW_4x4_5x5(out6, tmp6, comm_fact0); + OUTPUT_ROW_4x4_5x5(out7, tmp7, comm_fact0); + + // Store values across the 64 channels + __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * sizeof(float) + (y + z * (int)NUM_TILES_X) * dst_stride_y; + + *((__global float *)(dst_addr + 0 * dst_stride_z)) = out0.s0; + *((__global float *)(dst_addr + 1 * dst_stride_z)) = out0.s1; + *((__global float *)(dst_addr + 2 * dst_stride_z)) = out0.s2; + *((__global float *)(dst_addr + 3 * dst_stride_z)) = out0.s3; + *((__global float *)(dst_addr + 4 * dst_stride_z)) = out0.s4; + *((__global float *)(dst_addr + 5 * dst_stride_z)) = out0.s5; + *((__global float *)(dst_addr + 6 * dst_stride_z)) = out0.s6; + *((__global float *)(dst_addr + 7 * dst_stride_z)) = out0.s7; + *((__global float *)(dst_addr + 8 * dst_stride_z)) = out1.s0; + *((__global float *)(dst_addr + 9 * dst_stride_z)) = out1.s1; + *((__global float *)(dst_addr + 10 * dst_stride_z)) = out1.s2; + *((__global float *)(dst_addr + 11 * dst_stride_z)) = out1.s3; + *((__global float *)(dst_addr + 12 * dst_stride_z)) = out1.s4; + *((__global float *)(dst_addr + 13 * dst_stride_z)) = out1.s5; + *((__global float *)(dst_addr + 14 * dst_stride_z)) = out1.s6; + *((__global float *)(dst_addr + 15 * dst_stride_z)) = out1.s7; + *((__global float *)(dst_addr + 16 * dst_stride_z)) = out2.s0; + *((__global float *)(dst_addr + 17 * dst_stride_z)) = out2.s1; + *((__global float *)(dst_addr + 18 * dst_stride_z)) = out2.s2; + *((__global float *)(dst_addr + 19 * dst_stride_z)) = out2.s3; + *((__global float *)(dst_addr + 20 * dst_stride_z)) = out2.s4; + *((__global float *)(dst_addr + 21 * dst_stride_z)) = out2.s5; + *((__global float *)(dst_addr + 22 * dst_stride_z)) = out2.s6; + *((__global float *)(dst_addr + 23 * dst_stride_z)) = out2.s7; + *((__global float *)(dst_addr + 24 * dst_stride_z)) = out3.s0; + *((__global float *)(dst_addr + 25 * dst_stride_z)) = out3.s1; + *((__global float *)(dst_addr + 26 * dst_stride_z)) = out3.s2; + *((__global float *)(dst_addr + 27 * dst_stride_z)) = out3.s3; + *((__global float *)(dst_addr + 28 * dst_stride_z)) = out3.s4; + *((__global float *)(dst_addr + 29 * dst_stride_z)) = out3.s5; + *((__global float *)(dst_addr + 30 * dst_stride_z)) = out3.s6; + *((__global float *)(dst_addr + 31 * dst_stride_z)) = out3.s7; + *((__global float *)(dst_addr + 32 * dst_stride_z)) = out4.s0; + *((__global float *)(dst_addr + 33 * dst_stride_z)) = out4.s1; + *((__global float *)(dst_addr + 34 * dst_stride_z)) = out4.s2; + *((__global float *)(dst_addr + 35 * dst_stride_z)) = out4.s3; + *((__global float *)(dst_addr + 36 * dst_stride_z)) = out4.s4; + *((__global float *)(dst_addr + 37 * dst_stride_z)) = out4.s5; + *((__global float *)(dst_addr + 38 * dst_stride_z)) = out4.s6; + *((__global float *)(dst_addr + 39 * dst_stride_z)) = out4.s7; + *((__global float *)(dst_addr + 40 * dst_stride_z)) = out5.s0; + *((__global float *)(dst_addr + 41 * dst_stride_z)) = out5.s1; + *((__global float *)(dst_addr + 42 * dst_stride_z)) = out5.s2; + *((__global float *)(dst_addr + 43 * dst_stride_z)) = out5.s3; + *((__global float *)(dst_addr + 44 * dst_stride_z)) = out5.s4; + *((__global float *)(dst_addr + 45 * dst_stride_z)) = out5.s5; + *((__global float *)(dst_addr + 46 * dst_stride_z)) = out5.s6; + *((__global float *)(dst_addr + 47 * dst_stride_z)) = out5.s7; + *((__global float *)(dst_addr + 48 * dst_stride_z)) = out6.s0; + *((__global float *)(dst_addr + 49 * dst_stride_z)) = out6.s1; + *((__global float *)(dst_addr + 50 * dst_stride_z)) = out6.s2; + *((__global float *)(dst_addr + 51 * dst_stride_z)) = out6.s3; + *((__global float *)(dst_addr + 52 * dst_stride_z)) = out6.s4; + *((__global float *)(dst_addr + 53 * dst_stride_z)) = out6.s5; + *((__global float *)(dst_addr + 54 * dst_stride_z)) = out6.s6; + *((__global float *)(dst_addr + 55 * dst_stride_z)) = out6.s7; + *((__global float *)(dst_addr + 56 * dst_stride_z)) = out7.s0; + *((__global float *)(dst_addr + 57 * dst_stride_z)) = out7.s1; + *((__global float *)(dst_addr + 58 * dst_stride_z)) = out7.s2; + *((__global float *)(dst_addr + 59 * dst_stride_z)) = out7.s3; + *((__global float *)(dst_addr + 60 * dst_stride_z)) = out7.s4; + *((__global float *)(dst_addr + 61 * dst_stride_z)) = out7.s5; + *((__global float *)(dst_addr + 62 * dst_stride_z)) = out7.s6; + *((__global float *)(dst_addr + 63 * dst_stride_z)) = out7.s7; +} +#endif // defined(SRC_DIM_1) && defined(SRC_DIM_2) +#endif // defined(NUM_TILES_X) && defined(PAD_LEFT) && defined(PAD_TOP) && defined(OUTPUT_TILE_W) && defined(OUTPUT_TILE_H)
\ No newline at end of file diff --git a/src/core/CL/cl_kernels/winograd_output_transform.cl b/src/core/CL/cl_kernels/winograd_output_transform.cl new file mode 100644 index 0000000000..d195c14ccd --- /dev/null +++ b/src/core/CL/cl_kernels/winograd_output_transform.cl @@ -0,0 +1,1152 @@ +/* + * Copyright (c) 2018 ARM Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#include "helpers.h" + +#if defined(NUM_TILES_X) && defined(OUTPUT_TILE_W) && defined(OUTPUT_TILE_H) +/** This OpenCL kernel performs Winograd output transform when the output tile is 2x2/2x1 or 1x2, the filter size 3x3/3x1 or 1x3 and the data layout is NCHW + * + * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 + * @note If this kernel is used to perform Winograd output transform 3x1, -DWINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL has to be passed at compile time + * @note If this kernel is used to perform Winograd output transform 1x3, -DWINOGRAD_OUTPUT_TRANSFORM_VERTICAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_output_transform_2x2_3x3_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst) +#if defined(HAS_BIAS) + , + VECTOR_DECLARATION(bias) +#endif // defined(HAS_BIAS) +) +{ + // Each thread stores a 2x2/2x1 or 1x2 tile accordingly with the filter size + Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); + + const __global uchar *src_addr = tensor3D_offset(&src, 0, 0, 0); + + // Load the values across the 16 or 4 channels to compose the 4x4 or 4x1 tile + float d00 = *((__global float *)(src_addr + 0 * src_stride_z)); + float d01 = *((__global float *)(src_addr + 1 * src_stride_z)); + float d02 = *((__global float *)(src_addr + 2 * src_stride_z)); + float d03 = *((__global float *)(src_addr + 3 * src_stride_z)); + +#if defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + // Compute the 2x1 or 1x2 output tile + // out00 = d00 + d01 + d02 + // out01 = d01 - d02 - d03 + + float out00 = d00 + d01 + d02; + float out01 = d01 - d02 - d03; +#else // defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + float d10 = *((__global float *)(src_addr + 4 * src_stride_z)); + float d11 = *((__global float *)(src_addr + 5 * src_stride_z)); + float d12 = *((__global float *)(src_addr + 6 * src_stride_z)); + float d13 = *((__global float *)(src_addr + 7 * src_stride_z)); + + float d20 = *((__global float *)(src_addr + 8 * src_stride_z)); + float d21 = *((__global float *)(src_addr + 9 * src_stride_z)); + float d22 = *((__global float *)(src_addr + 10 * src_stride_z)); + float d23 = *((__global float *)(src_addr + 11 * src_stride_z)); + + float d30 = *((__global float *)(src_addr + 12 * src_stride_z)); + float d31 = *((__global float *)(src_addr + 13 * src_stride_z)); + float d32 = *((__global float *)(src_addr + 14 * src_stride_z)); + float d33 = *((__global float *)(src_addr + 15 * src_stride_z)); + + // Compute the 2x2 output tile + float k0 = d01 + d11 + d21; + float k1 = d02 + d12 + d22; + float k2 = d11 - d21 - d31; + float k3 = d12 - d22 - d32; + + // out00 = d00 + d10 + d20 + d01 + d11 + d21 + d02 + d12 + d22 + // out01 = d01 + d11 + d21 - (d02 + d12 + d22) - (d03 + d13 + d23) + // out10 = d10 - d20 - d30 + (d11 - d21 - d31) + (d12 - d22 - d32) + // out11 = d11 - d21 - d31 - (d12 - d22 - d32) - (d13 - d23 - d33) + + float out00 = d10; + float out01 = -d13; + float out10 = d10; + float out11 = -d13; + + out00 += d00 + d20 + k0 + k1; + out01 += k0 - k1 - (d03 + d23); + out10 += -d20 - d30 + k2 + k3; + out11 += k2 - k3 + d23 + d33; +#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + + int y_in = get_global_id(1); + int x_out = (y_in % NUM_TILES_X) * OUTPUT_TILE_W; + int y_out = (y_in / NUM_TILES_X) * OUTPUT_TILE_H; + int z_out = get_global_id(0); + +#if defined(HAS_BIAS) + // Add bias + Vector bias = CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); + + float b = (float) * ((__global float *)(vector_offset(&bias, z_out))); + + out00 += (float)b; + out01 += (float)b; +#endif // defined(HAS_BIAS) + + // Get output address + __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x_out * sizeof(float) + y_out * dst_stride_y + z_out * dst_stride_z; + + // Store the output tile +#if defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + *((__global float *)(dst_addr + 0 * dst_stride_y)) = out00; + *((__global float *)(dst_addr + 1 * dst_stride_y)) = out01; +#else // defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + vstore2((float2)(out00, out01), 0, (__global float *)(dst_addr + 0 * dst_stride_y)); +#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + +#if !defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) +#if defined(HAS_BIAS) + // Add bias + out10 += (float)b; + out11 += (float)b; +#endif // defined(HAS_BIAS) + + vstore2((float2)(out10, out11), 0, (__global float *)(dst_addr + 1 * dst_stride_y)); +#endif // !defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) +} + +/** This OpenCL kernel performs Winograd output transform when the output tile is 4x4, the filter size 3x3 and the data layout is NCHW + * + * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 + * @note If this kernel is used to perform Winograd output transform 3x1, -DWINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL has to be passed at compile time + * @note If this kernel is used to perform Winograd output transform 1x3, -DWINOGRAD_OUTPUT_TRANSFORM_VERTICAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_output_transform_4x4_3x3_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst) +#if defined(HAS_BIAS) + , + VECTOR_DECLARATION(bias) +#endif // defined(HAS_BIAS) +) +{ + // Each thread stores a 4x4/4x1 or 1x4 tile + Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); + + const __global uchar *src_addr = tensor3D_offset(&src, 0, 0, 0); + + // Load the values across the channels to compose the 6x6 or 6x1 tile + float d00 = *((__global float *)(src_addr + 0 * src_stride_z)); + float d01 = *((__global float *)(src_addr + 1 * src_stride_z)); + float d02 = *((__global float *)(src_addr + 2 * src_stride_z)); + float d03 = *((__global float *)(src_addr + 3 * src_stride_z)); + float d04 = *((__global float *)(src_addr + 4 * src_stride_z)); + float d05 = *((__global float *)(src_addr + 5 * src_stride_z)); + +#if defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + // Compute out00, out01, out02 and out03 + float out00 = d00 + d01 + d02 + d03 + d04; + float out01 = d01 - d02 + 2.0f * d03 - 2.0f * d04; + float out02 = d01 + d02 + 4.0f * d03 + 4.0f * d04; + float out03 = d01 - d02 + 8.0f * d03 - 8.0f * d04 + d05; +#else // defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + float d10 = *((__global float *)(src_addr + 6 * src_stride_z)); + float d11 = *((__global float *)(src_addr + 7 * src_stride_z)); + float d12 = *((__global float *)(src_addr + 8 * src_stride_z)); + float d13 = *((__global float *)(src_addr + 9 * src_stride_z)); + float d14 = *((__global float *)(src_addr + 10 * src_stride_z)); + float d15 = *((__global float *)(src_addr + 11 * src_stride_z)); + + float d20 = *((__global float *)(src_addr + 12 * src_stride_z)); + float d21 = *((__global float *)(src_addr + 13 * src_stride_z)); + float d22 = *((__global float *)(src_addr + 14 * src_stride_z)); + float d23 = *((__global float *)(src_addr + 15 * src_stride_z)); + float d24 = *((__global float *)(src_addr + 16 * src_stride_z)); + float d25 = *((__global float *)(src_addr + 17 * src_stride_z)); + + float d30 = *((__global float *)(src_addr + 18 * src_stride_z)); + float d31 = *((__global float *)(src_addr + 19 * src_stride_z)); + float d32 = *((__global float *)(src_addr + 20 * src_stride_z)); + float d33 = *((__global float *)(src_addr + 21 * src_stride_z)); + float d34 = *((__global float *)(src_addr + 22 * src_stride_z)); + float d35 = *((__global float *)(src_addr + 23 * src_stride_z)); + + float d40 = *((__global float *)(src_addr + 24 * src_stride_z)); + float d41 = *((__global float *)(src_addr + 25 * src_stride_z)); + float d42 = *((__global float *)(src_addr + 26 * src_stride_z)); + float d43 = *((__global float *)(src_addr + 27 * src_stride_z)); + float d44 = *((__global float *)(src_addr + 28 * src_stride_z)); + float d45 = *((__global float *)(src_addr + 29 * src_stride_z)); + + float d50 = *((__global float *)(src_addr + 30 * src_stride_z)); + float d51 = *((__global float *)(src_addr + 31 * src_stride_z)); + float d52 = *((__global float *)(src_addr + 32 * src_stride_z)); + float d53 = *((__global float *)(src_addr + 33 * src_stride_z)); + float d54 = *((__global float *)(src_addr + 34 * src_stride_z)); + float d55 = *((__global float *)(src_addr + 35 * src_stride_z)); + + // Compute out00, out01, out02 and out03 + float out00 = d01 + d21 + d41 + d11 + d31; + float out01 = d01 + d21 + d41 + d11 + d31; + float out02 = d01 + d21 + d41 + d11 + d31; + float out03 = d01 + d21 + d41 + d11 + d31; + + float k0 = d03 + d04 + d13 + d14 + d23 + d24 + d33 + d34 + d43 + d44; + float k1 = 2.0f * d03 - 2.0f * d04 + 2.0f * d13 - 2.0f * d14 + 2.0f * d23 - 2.0f * d24 + 2.0f * d33 - 2.0f * d34 + 2.0f * d43 - 2.0f * d44; + + out00 += k0 + d00 + d02 + d10 + d12 + d20 + d22 + d30 + d32 + d40 + d42; + out01 += k1 - d02 - d12 - d22 - d32 - d42; + out02 += 4.0f * k0 + d02 + d12 + d22 + d32 + d42; + out03 += 4.0f * k1 - d02 - d12 - d22 - d32 - d42 + d05 + d15 + d25 + d35 + d45; + + // Compute out10, out11, out12 and out13 + float out10 = d11 - d21 + 2.0f * d31 - 2.0f * d41; + float out11 = d11 - d21 + 2.0f * d31 - 2.0f * d41; + float out12 = d11 - d21 + 2.0f * d31 - 2.0f * d41; + float out13 = d11 - d21 + 2.0f * d31 - 2.0f * d41; + + k0 = d13 + d14 - d23 - d24 + 2.0f * d33 + 2.0f * d34 - 2.0f * d43 - 2.0f * d44; + k1 = 2.0f * d13 - 2.0f * d14 - 2.0f * d23 + 2.0f * d24 + 4.0f * d33 - 4.0f * d34 - 4.0f * d43 + 4.0f * d44; + + out10 += k0 + d10 + d12 - d20 - d22 + 2.0f * d30 + 2.0f * d32 - 2.0f * d40 - 2.0f * d42; + out11 += k1 - d12 + d22 - 2.0f * d32 + 2.0f * d42; + out12 += 4.0f * k0 + d12 - d22 + 2.0f * d32 - 2.0f * d42; + out13 += 4.0f * k1 - d12 + d15 + d22 - d25 - 2.0f * d32 + 2.0f * d35 + 2.0f * d42 - 2.0f * d45; + + // Compute out20, out21, out22 and out23 + float out20 = d11 + d21 + 4.0f * d31 + 4.0f * d41; + float out21 = d11 + d21 + 4.0f * d31 + 4.0f * d41; + float out22 = d11 + d21 + 4.0f * d31 + 4.0f * d41; + float out23 = d11 + d21 + 4.0f * d31 + 4.0f * d41; + + k0 = d13 + d14 + d23 + d24 + 4.0f * d33 + 4.0f * d34 + 4.0f * d43 + 4.0f * d44; + k1 = 2.0f * d13 - 2.0f * d14 + 2.0f * d23 - 2.0f * d24 + 8.0f * d33 - 8.0f * d34 + 8.0f * d43 - 8.0f * d44; + + out20 += k0 + d10 + d12 + d20 + d22 + 4.0f * d30 + 4.0f * d32 + 4.0f * d40 + 4.0f * d42; + out21 += k1 - d12 - d22 - 4.0f * d32 - 4.0f * d42; + out22 += 4.0f * k0 + d12 + d22 + 4.0f * d32 + 4.0f * d42; + out23 += 4.0f * k1 - d12 + d15 - d22 + d25 - 4.0f * d32 + 4.0f * d35 - 4.0f * d42 + 4.0f * d45; + + // Compute out30, out31, out32 and out33 + float out30 = d11 - d21 + 8.0f * d31 - 8.0f * d41 + d51; + float out31 = d11 - d21 + 8.0f * d31 - 8.0f * d41 + d51; + float out32 = d11 - d21 + 8.0f * d31 - 8.0f * d41 + d51; + float out33 = d11 - d21 + 8.0f * d31 - 8.0f * d41 + d51; + + k0 = d13 + d14 - d23 - d24 + 8.0f * d33 + 8.0f * d34 - 8.0f * d43 - 8.0f * d44 + d53 + d54; + k1 = 2.0f * d13 - 2.0f * d14 - 2.0f * d23 + 2.0f * d24 + 16.0f * d33 - 16.0f * d34 - 16.0f * d43 + 16.0f * d44 + 2.0f * d53 - 2.0f * d54; + + out30 += k0 + d10 + d12 - d20 - d22 + 8.0f * d30 + 8.0f * d32 - 8.0f * d40 - 8.0f * d42 + d50 + d52; + out31 += k1 - d12 + d22 - 8.0f * d32 + 8.0f * d42 - d52; + out32 += 4.0f * k0 + d12 - d22 + 8.0f * d32 - 8.0f * d42 + d52; + out33 += 4.0f * k1 - d12 + d15 + d22 - d25 - 8.0f * d32 + 8.0f * d35 + 8.0f * d42 - 8.0f * d45 - d52 + d55; +#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + + int y_in = get_global_id(1); + int x_out = (y_in % NUM_TILES_X) * OUTPUT_TILE_W; + int y_out = (y_in / NUM_TILES_X) * OUTPUT_TILE_H; + int z_out = get_global_id(0); + +#if defined(HAS_BIAS) + // Add bias + Vector bias = CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); + + float b = (float) * ((__global float *)(vector_offset(&bias, z_out))); + + out00 += (float)b; + out01 += (float)b; + out02 += (float)b; + out03 += (float)b; +#endif // defined(HAS_BIAS) + + // Get output address + __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x_out * sizeof(float) + y_out * dst_stride_y + z_out * dst_stride_z; + + // Store the output tile +#if defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + *((__global float *)(dst_addr + 0 * dst_stride_y)) = out00; + *((__global float *)(dst_addr + 1 * dst_stride_y)) = out01; + *((__global float *)(dst_addr + 2 * dst_stride_y)) = out02; + *((__global float *)(dst_addr + 3 * dst_stride_y)) = out03; +#else // defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + vstore4((float4)(out00, out01, out02, out03), 0, (__global float *)(dst_addr + 0 * dst_stride_y)); +#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + +#if !defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) +#if defined(HAS_BIAS) + // Add bias + out10 += (float)b; + out11 += (float)b; + out12 += (float)b; + out13 += (float)b; + + out20 += (float)b; + out21 += (float)b; + out22 += (float)b; + out23 += (float)b; + + out30 += (float)b; + out31 += (float)b; + out32 += (float)b; + out33 += (float)b; +#endif // defined(HAS_BIAS) + vstore4((float4)(out10, out11, out12, out13), 0, (__global float *)(dst_addr + 1 * dst_stride_y)); + vstore4((float4)(out20, out21, out22, out23), 0, (__global float *)(dst_addr + 2 * dst_stride_y)); + vstore4((float4)(out30, out31, out32, out33), 0, (__global float *)(dst_addr + 3 * dst_stride_y)); +#endif // !defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) +} + +#if defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) +/** This OpenCL kernel performs Winograd output transform when the output tile is 2x1, the filter size 3x1 and the data layout is NCHW + * + * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 + * @note -DWINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_output_transform_2x1_3x1_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst) +#if defined(HAS_BIAS) + , + VECTOR_DECLARATION(bias) +#endif // defined(HAS_BIAS) +) +{ + winograd_output_transform_2x2_3x3_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes +#if defined(HAS_BIAS) + , + bias_ptr, + bias_stride_x, + bias_step_x, + bias_offset_first_element_in_bytes +#endif // defined(HAS_BIAS) + ); +} + +/** This OpenCL kernel performs Winograd output transform when the output tile is 4x1, the filter size 3x1 and the data layout is NCHW + * + * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 + * @note -DWINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_output_transform_4x1_3x1_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst) +#if defined(HAS_BIAS) + , + VECTOR_DECLARATION(bias) +#endif // defined(HAS_BIAS) +) +{ + winograd_output_transform_4x4_3x3_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes +#if defined(HAS_BIAS) + , + bias_ptr, + bias_stride_x, + bias_step_x, + bias_offset_first_element_in_bytes +#endif // defined(HAS_BIAS) + ); +} +#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) + +#if defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) +/** This OpenCL kernel performs Winograd output transform when the output tile is 1x2, the filter size 1x3 and the data layout is NCHW + * + * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 + * @note -DWINOGRAD_OUTPUT_TRANSFORM_VERTICAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_output_transform_1x2_1x3_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst) +#if defined(HAS_BIAS) + , + VECTOR_DECLARATION(bias) +#endif // defined(HAS_BIAS) +) +{ + winograd_output_transform_2x2_3x3_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes +#if defined(HAS_BIAS) + , + bias_ptr, + bias_stride_x, + bias_step_x, + bias_offset_first_element_in_bytes +#endif // defined(HAS_BIAS) + ); +} + +/** This OpenCL kernel performs Winograd output transform when the output tile is 1x4, the filter size 1x3 and the data layout is NCHW + * + * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 + * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 + * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 + * @note -DWINOGRAD_OUTPUT_TRANSFORM_VERTICAL has to be passed at compile time + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_output_transform_1x4_1x3_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst) +#if defined(HAS_BIAS) + , + VECTOR_DECLARATION(bias) +#endif // defined(HAS_BIAS) +) +{ + winograd_output_transform_4x4_3x3_nchw(src_ptr, + src_stride_x, + src_step_x, + src_stride_y, + src_step_y, + src_stride_z, + src_step_z, + src_offset_first_element_in_bytes, + dst_ptr, + dst_stride_x, + dst_step_x, + dst_stride_y, + dst_step_y, + dst_stride_z, + dst_step_z, + dst_offset_first_element_in_bytes +#if defined(HAS_BIAS) + , + bias_ptr, + bias_stride_x, + bias_step_x, + bias_offset_first_element_in_bytes +#endif // defined(HAS_BIAS) + ); +} +#endif // defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL) + +/** This OpenCL kernel performs Winograd output transform when the output tile is 4x4, the filter size 3x3 and the data layout is NHWC + * + * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + * @param[in] dst_size Size of the destination tensor, minus the last padding + */ +__kernel void winograd_output_transform_4x4_3x3_nhwc( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst), +#if defined(HAS_BIAS) + VECTOR_DECLARATION(bias), +#endif // defined(HAS_BIAS) + int dst_size) +{ + // Each thread stores a 4x4 tile + Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); + + const __global uchar *src_addr = tensor3D_offset(&src, 0, 0, 0); + + // Load the values across the 36 channels to compose the 6x6 tile + float d00 = *((__global float *)(src_addr + 0 * src_stride_z)); + float d01 = *((__global float *)(src_addr + 1 * src_stride_z)); + float d02 = *((__global float *)(src_addr + 2 * src_stride_z)); + float d03 = *((__global float *)(src_addr + 3 * src_stride_z)); + float d04 = *((__global float *)(src_addr + 4 * src_stride_z)); + float d05 = *((__global float *)(src_addr + 5 * src_stride_z)); + + float d10 = *((__global float *)(src_addr + 6 * src_stride_z)); + float d11 = *((__global float *)(src_addr + 7 * src_stride_z)); + float d12 = *((__global float *)(src_addr + 8 * src_stride_z)); + float d13 = *((__global float *)(src_addr + 9 * src_stride_z)); + float d14 = *((__global float *)(src_addr + 10 * src_stride_z)); + float d15 = *((__global float *)(src_addr + 11 * src_stride_z)); + + float d20 = *((__global float *)(src_addr + 12 * src_stride_z)); + float d21 = *((__global float *)(src_addr + 13 * src_stride_z)); + float d22 = *((__global float *)(src_addr + 14 * src_stride_z)); + float d23 = *((__global float *)(src_addr + 15 * src_stride_z)); + float d24 = *((__global float *)(src_addr + 16 * src_stride_z)); + float d25 = *((__global float *)(src_addr + 17 * src_stride_z)); + + float d30 = *((__global float *)(src_addr + 18 * src_stride_z)); + float d31 = *((__global float *)(src_addr + 19 * src_stride_z)); + float d32 = *((__global float *)(src_addr + 20 * src_stride_z)); + float d33 = *((__global float *)(src_addr + 21 * src_stride_z)); + float d34 = *((__global float *)(src_addr + 22 * src_stride_z)); + float d35 = *((__global float *)(src_addr + 23 * src_stride_z)); + + float d40 = *((__global float *)(src_addr + 24 * src_stride_z)); + float d41 = *((__global float *)(src_addr + 25 * src_stride_z)); + float d42 = *((__global float *)(src_addr + 26 * src_stride_z)); + float d43 = *((__global float *)(src_addr + 27 * src_stride_z)); + float d44 = *((__global float *)(src_addr + 28 * src_stride_z)); + float d45 = *((__global float *)(src_addr + 29 * src_stride_z)); + + float d50 = *((__global float *)(src_addr + 30 * src_stride_z)); + float d51 = *((__global float *)(src_addr + 31 * src_stride_z)); + float d52 = *((__global float *)(src_addr + 32 * src_stride_z)); + float d53 = *((__global float *)(src_addr + 33 * src_stride_z)); + float d54 = *((__global float *)(src_addr + 34 * src_stride_z)); + float d55 = *((__global float *)(src_addr + 35 * src_stride_z)); + + // Compute out00, out01, out02 and out03 + float out00 = d01 + d21 + d41 + d11 + d31; + float out01 = d01 + d21 + d41 + d11 + d31; + float out02 = d01 + d21 + d41 + d11 + d31; + float out03 = d01 + d21 + d41 + d11 + d31; + + float k0 = d03 + d04 + d13 + d14 + d23 + d24 + d33 + d34 + d43 + d44; + float k1 = 2.0f * d03 - 2.0f * d04 + 2.0f * d13 - 2.0f * d14 + 2.0f * d23 - 2.0f * d24 + 2.0f * d33 - 2.0f * d34 + 2.0f * d43 - 2.0f * d44; + + out00 += k0 + d00 + d02 + d10 + d12 + d20 + d22 + d30 + d32 + d40 + d42; + out01 += k1 - d02 - d12 - d22 - d32 - d42; + out02 += 4.0f * k0 + d02 + d12 + d22 + d32 + d42; + out03 += 4.0f * k1 - d02 - d12 - d22 - d32 - d42 + d05 + d15 + d25 + d35 + d45; + + // Compute out10, out11, out12 and out13 + float out10 = d11 - d21 + 2.0f * d31 - 2.0f * d41; + float out11 = d11 - d21 + 2.0f * d31 - 2.0f * d41; + float out12 = d11 - d21 + 2.0f * d31 - 2.0f * d41; + float out13 = d11 - d21 + 2.0f * d31 - 2.0f * d41; + + k0 = d13 + d14 - d23 - d24 + 2.0f * d33 + 2.0f * d34 - 2.0f * d43 - 2.0f * d44; + k1 = 2.0f * d13 - 2.0f * d14 - 2.0f * d23 + 2.0f * d24 + 4.0f * d33 - 4.0f * d34 - 4.0f * d43 + 4.0f * d44; + + out10 += k0 + d10 + d12 - d20 - d22 + 2.0f * d30 + 2.0f * d32 - 2.0f * d40 - 2.0f * d42; + out11 += k1 - d12 + d22 - 2.0f * d32 + 2.0f * d42; + out12 += 4.0f * k0 + d12 - d22 + 2.0f * d32 - 2.0f * d42; + out13 += 4.0f * k1 - d12 + d15 + d22 - d25 - 2.0f * d32 + 2.0f * d35 + 2.0f * d42 - 2.0f * d45; + + // Compute out20, out21, out22 and out23 + float out20 = d11 + d21 + 4.0f * d31 + 4.0f * d41; + float out21 = d11 + d21 + 4.0f * d31 + 4.0f * d41; + float out22 = d11 + d21 + 4.0f * d31 + 4.0f * d41; + float out23 = d11 + d21 + 4.0f * d31 + 4.0f * d41; + + k0 = d13 + d14 + d23 + d24 + 4.0f * d33 + 4.0f * d34 + 4.0f * d43 + 4.0f * d44; + k1 = 2.0f * d13 - 2.0f * d14 + 2.0f * d23 - 2.0f * d24 + 8.0f * d33 - 8.0f * d34 + 8.0f * d43 - 8.0f * d44; + + out20 += k0 + d10 + d12 + d20 + d22 + 4.0f * d30 + 4.0f * d32 + 4.0f * d40 + 4.0f * d42; + out21 += k1 - d12 - d22 - 4.0f * d32 - 4.0f * d42; + out22 += 4.0f * k0 + d12 + d22 + 4.0f * d32 + 4.0f * d42; + out23 += 4.0f * k1 - d12 + d15 - d22 + d25 - 4.0f * d32 + 4.0f * d35 - 4.0f * d42 + 4.0f * d45; + + // Compute out30, out31, out32 and out33 + float out30 = d11 - d21 + 8.0f * d31 - 8.0f * d41 + d51; + float out31 = d11 - d21 + 8.0f * d31 - 8.0f * d41 + d51; + float out32 = d11 - d21 + 8.0f * d31 - 8.0f * d41 + d51; + float out33 = d11 - d21 + 8.0f * d31 - 8.0f * d41 + d51; + + k0 = d13 + d14 - d23 - d24 + 8.0f * d33 + 8.0f * d34 - 8.0f * d43 - 8.0f * d44 + d53 + d54; + k1 = 2.0f * d13 - 2.0f * d14 - 2.0f * d23 + 2.0f * d24 + 16.0f * d33 - 16.0f * d34 - 16.0f * d43 + 16.0f * d44 + 2.0f * d53 - 2.0f * d54; + + out30 += k0 + d10 + d12 - d20 - d22 + 8.0f * d30 + 8.0f * d32 - 8.0f * d40 - 8.0f * d42 + d50 + d52; + out31 += k1 - d12 + d22 - 8.0f * d32 + 8.0f * d42 - d52; + out32 += 4.0f * k0 + d12 - d22 + 8.0f * d32 - 8.0f * d42 + d52; + out33 += 4.0f * k1 - d12 + d15 + d22 - d25 - 8.0f * d32 + 8.0f * d35 + 8.0f * d42 - 8.0f * d45 - d52 + d55; + + int y_in = get_global_id(1); + int x_out = get_global_id(0); + int y_out = (y_in % NUM_TILES_X) * 4; + int z_out = (y_in / NUM_TILES_X) * 4; + +#if defined(HAS_BIAS) + // Add bias + Vector bias = CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); + + float b = (float) * ((__global float *)(vector_offset(&bias, z_out))); + + out00 += (float)b; + out01 += (float)b; + out02 += (float)b; + out03 += (float)b; + + out10 += (float)b; + out11 += (float)b; + out12 += (float)b; + out13 += (float)b; + + out20 += (float)b; + out21 += (float)b; + out22 += (float)b; + out23 += (float)b; + + out30 += (float)b; + out31 += (float)b; + out32 += (float)b; + out33 += (float)b; + +#endif // defined(HAS_BIAS) + + // Get output address + int4 offset = (int4)(dst_offset_first_element_in_bytes + x_out * sizeof(float) + y_out * dst_stride_y + z_out * dst_stride_z); + offset = min(offset + (int4)(0, 1, 2, 3) * (int4)dst_stride_z, dst_size); // If address is beyond the last plane, clamp it to dst_size (which points to the last padding). + int4 mult_y = min(dst_size - offset, 1); // If out of bound, we don't want to increase dst_stride_y, so we set the multiplier to 0. It will be 1 otherwise. + + // Store the 4x4 output tile + *((__global float *)(dst_ptr + mult_y.s0 * 0 * dst_stride_y + offset.s0)) = out00; + *((__global float *)(dst_ptr + mult_y.s0 * 1 * dst_stride_y + offset.s0)) = out01; + *((__global float *)(dst_ptr + mult_y.s0 * 2 * dst_stride_y + offset.s0)) = out02; + *((__global float *)(dst_ptr + mult_y.s0 * 3 * dst_stride_y + offset.s0)) = out03; + *((__global float *)(dst_ptr + mult_y.s1 * 0 * dst_stride_y + offset.s1)) = out10; + *((__global float *)(dst_ptr + mult_y.s1 * 1 * dst_stride_y + offset.s1)) = out11; + *((__global float *)(dst_ptr + mult_y.s1 * 2 * dst_stride_y + offset.s1)) = out12; + *((__global float *)(dst_ptr + mult_y.s1 * 3 * dst_stride_y + offset.s1)) = out13; + *((__global float *)(dst_ptr + mult_y.s2 * 0 * dst_stride_y + offset.s2)) = out20; + *((__global float *)(dst_ptr + mult_y.s2 * 1 * dst_stride_y + offset.s2)) = out21; + *((__global float *)(dst_ptr + mult_y.s2 * 2 * dst_stride_y + offset.s2)) = out22; + *((__global float *)(dst_ptr + mult_y.s2 * 3 * dst_stride_y + offset.s2)) = out23; + *((__global float *)(dst_ptr + mult_y.s3 * 0 * dst_stride_y + offset.s3)) = out30; + *((__global float *)(dst_ptr + mult_y.s3 * 1 * dst_stride_y + offset.s3)) = out31; + *((__global float *)(dst_ptr + mult_y.s3 * 2 * dst_stride_y + offset.s3)) = out32; + *((__global float *)(dst_ptr + mult_y.s3 * 3 * dst_stride_y + offset.s3)) = out33; +} + +#define COMPUTE_TMP_COL(col, d0, d1, d2, d3, d4, d5, d6, d7, comm_fact) \ + ({ \ + comm_fact.s0 = d1 + d2; \ + comm_fact.s1 = d3 + d4; \ + comm_fact.s2 = d5 + d6; \ + \ + col.s0 = comm_fact.s0 + comm_fact.s1 + 8.f * comm_fact.s2 + d0; \ + col.s2 = comm_fact.s0 + 4.f * comm_fact.s1 + 2.f * comm_fact.s2; \ + \ + comm_fact.s0 = d1 - d2; \ + comm_fact.s1 = d3 - d4; \ + comm_fact.s2 = d5 - d6; \ + \ + col.s1 = comm_fact.s0 + 2.f * comm_fact.s1 + 4.f * comm_fact.s2; \ + col.s3 = comm_fact.s0 + 8.f * comm_fact.s1 + comm_fact.s2 + d7; \ + }) + +/** This OpenCL kernel performs Winograd output transform when the output tile is 4x4, the filter size 5x5 and the data layout is NCHW + * + * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_output_transform_4x4_5x5_nchw( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst) +#if defined(HAS_BIAS) + , + VECTOR_DECLARATION(bias) +#endif // defined(HAS_BIAS) +) +{ + // Each thread stores a 4x4 tile + Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); + + const __global uchar *src_addr = tensor3D_offset(&src, 0, 0, 0); + + // Load the values across the 64 channels to compose the 8x8 input tile + float d00 = *((__global float *)(src_addr + 0 * src_stride_z)); + float d01 = *((__global float *)(src_addr + 1 * src_stride_z)); + float d02 = *((__global float *)(src_addr + 2 * src_stride_z)); + float d03 = *((__global float *)(src_addr + 3 * src_stride_z)); + float d04 = *((__global float *)(src_addr + 4 * src_stride_z)); + float d05 = *((__global float *)(src_addr + 5 * src_stride_z)); + float d06 = *((__global float *)(src_addr + 6 * src_stride_z)); + float d07 = *((__global float *)(src_addr + 7 * src_stride_z)); + + float d10 = *((__global float *)(src_addr + 8 * src_stride_z)); + float d11 = *((__global float *)(src_addr + 9 * src_stride_z)); + float d12 = *((__global float *)(src_addr + 10 * src_stride_z)); + float d13 = *((__global float *)(src_addr + 11 * src_stride_z)); + float d14 = *((__global float *)(src_addr + 12 * src_stride_z)); + float d15 = *((__global float *)(src_addr + 13 * src_stride_z)); + float d16 = *((__global float *)(src_addr + 14 * src_stride_z)); + float d17 = *((__global float *)(src_addr + 15 * src_stride_z)); + + float d20 = *((__global float *)(src_addr + 16 * src_stride_z)); + float d21 = *((__global float *)(src_addr + 17 * src_stride_z)); + float d22 = *((__global float *)(src_addr + 18 * src_stride_z)); + float d23 = *((__global float *)(src_addr + 19 * src_stride_z)); + float d24 = *((__global float *)(src_addr + 20 * src_stride_z)); + float d25 = *((__global float *)(src_addr + 21 * src_stride_z)); + float d26 = *((__global float *)(src_addr + 22 * src_stride_z)); + float d27 = *((__global float *)(src_addr + 23 * src_stride_z)); + + float d30 = *((__global float *)(src_addr + 24 * src_stride_z)); + float d31 = *((__global float *)(src_addr + 25 * src_stride_z)); + float d32 = *((__global float *)(src_addr + 26 * src_stride_z)); + float d33 = *((__global float *)(src_addr + 27 * src_stride_z)); + float d34 = *((__global float *)(src_addr + 28 * src_stride_z)); + float d35 = *((__global float *)(src_addr + 29 * src_stride_z)); + float d36 = *((__global float *)(src_addr + 30 * src_stride_z)); + float d37 = *((__global float *)(src_addr + 31 * src_stride_z)); + + float d40 = *((__global float *)(src_addr + 32 * src_stride_z)); + float d41 = *((__global float *)(src_addr + 33 * src_stride_z)); + float d42 = *((__global float *)(src_addr + 34 * src_stride_z)); + float d43 = *((__global float *)(src_addr + 35 * src_stride_z)); + float d44 = *((__global float *)(src_addr + 36 * src_stride_z)); + float d45 = *((__global float *)(src_addr + 37 * src_stride_z)); + float d46 = *((__global float *)(src_addr + 38 * src_stride_z)); + float d47 = *((__global float *)(src_addr + 39 * src_stride_z)); + + float d50 = *((__global float *)(src_addr + 40 * src_stride_z)); + float d51 = *((__global float *)(src_addr + 41 * src_stride_z)); + float d52 = *((__global float *)(src_addr + 42 * src_stride_z)); + float d53 = *((__global float *)(src_addr + 43 * src_stride_z)); + float d54 = *((__global float *)(src_addr + 44 * src_stride_z)); + float d55 = *((__global float *)(src_addr + 45 * src_stride_z)); + float d56 = *((__global float *)(src_addr + 46 * src_stride_z)); + float d57 = *((__global float *)(src_addr + 47 * src_stride_z)); + + float d60 = *((__global float *)(src_addr + 48 * src_stride_z)); + float d61 = *((__global float *)(src_addr + 49 * src_stride_z)); + float d62 = *((__global float *)(src_addr + 50 * src_stride_z)); + float d63 = *((__global float *)(src_addr + 51 * src_stride_z)); + float d64 = *((__global float *)(src_addr + 52 * src_stride_z)); + float d65 = *((__global float *)(src_addr + 53 * src_stride_z)); + float d66 = *((__global float *)(src_addr + 54 * src_stride_z)); + float d67 = *((__global float *)(src_addr + 55 * src_stride_z)); + + float d70 = *((__global float *)(src_addr + 56 * src_stride_z)); + float d71 = *((__global float *)(src_addr + 57 * src_stride_z)); + float d72 = *((__global float *)(src_addr + 58 * src_stride_z)); + float d73 = *((__global float *)(src_addr + 59 * src_stride_z)); + float d74 = *((__global float *)(src_addr + 60 * src_stride_z)); + float d75 = *((__global float *)(src_addr + 61 * src_stride_z)); + float d76 = *((__global float *)(src_addr + 62 * src_stride_z)); + float d77 = *((__global float *)(src_addr + 63 * src_stride_z)); + + // Compute the 8x4 intermediate tensor + float4 comm_fact0, comm_fact1, comm_fact2; + float4 tmp_col0, tmp_col1, tmp_col2, tmp_col3, tmp_col4, tmp_col5, tmp_col6, tmp_col7; + + COMPUTE_TMP_COL(tmp_col0, d00, d10, d20, d30, d40, d50, d60, d70, comm_fact0); + COMPUTE_TMP_COL(tmp_col1, d01, d11, d21, d31, d41, d51, d61, d71, comm_fact0); + COMPUTE_TMP_COL(tmp_col2, d02, d12, d22, d32, d42, d52, d62, d72, comm_fact0); + COMPUTE_TMP_COL(tmp_col3, d03, d13, d23, d33, d43, d53, d63, d73, comm_fact0); + COMPUTE_TMP_COL(tmp_col4, d04, d14, d24, d34, d44, d54, d64, d74, comm_fact0); + COMPUTE_TMP_COL(tmp_col5, d05, d15, d25, d35, d45, d55, d65, d75, comm_fact0); + COMPUTE_TMP_COL(tmp_col6, d06, d16, d26, d36, d46, d56, d66, d76, comm_fact0); + COMPUTE_TMP_COL(tmp_col7, d07, d17, d27, d37, d47, d57, d67, d77, comm_fact0); + + // Compute the 4x4 output tile + comm_fact0 = tmp_col1 + tmp_col2; + comm_fact1 = tmp_col3 + tmp_col4; + comm_fact2 = tmp_col5 + tmp_col6; + + float4 out_col0 = comm_fact0 + comm_fact1 + 8.f * comm_fact2 + tmp_col0; + float4 out_col2 = comm_fact0 + 4.f * comm_fact1 + 2.f * comm_fact2; + + comm_fact0 = tmp_col1 - tmp_col2; + comm_fact1 = tmp_col3 - tmp_col4; + comm_fact2 = tmp_col5 - tmp_col6; + + float4 out_col1 = comm_fact0 + 2.f * comm_fact1 + 4.f * comm_fact2; + float4 out_col3 = comm_fact0 + 8.f * comm_fact1 + comm_fact2 + tmp_col7; + + int y_in = get_global_id(1); + int x_out = (y_in % NUM_TILES_X) * 4; + int y_out = (y_in / NUM_TILES_X) * 4; + int z_out = get_global_id(0); + +#if defined(HAS_BIAS) + // Add bias + Vector bias = CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); + + float b = (float) * ((__global float *)(vector_offset(&bias, z_out))); + + out_col0 += (float4)b; + out_col1 += (float4)b; + out_col2 += (float4)b; + out_col3 += (float4)b; +#endif // defined(HAS_BIAS) + + // Get output address + __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x_out * dst_stride_x + y_out * dst_stride_y + z_out * dst_stride_z; + + // Store the 4x4 output tile + *(__global float *)(dst_addr + 0 * dst_stride_x + 0 * dst_stride_y) = out_col0.s0; + *(__global float *)(dst_addr + 1 * dst_stride_x + 0 * dst_stride_y) = out_col1.s0; + *(__global float *)(dst_addr + 2 * dst_stride_x + 0 * dst_stride_y) = out_col2.s0; + *(__global float *)(dst_addr + 3 * dst_stride_x + 0 * dst_stride_y) = out_col3.s0; + *(__global float *)(dst_addr + 0 * dst_stride_x + 1 * dst_stride_y) = out_col0.s1; + *(__global float *)(dst_addr + 1 * dst_stride_x + 1 * dst_stride_y) = out_col1.s1; + *(__global float *)(dst_addr + 2 * dst_stride_x + 1 * dst_stride_y) = out_col2.s1; + *(__global float *)(dst_addr + 3 * dst_stride_x + 1 * dst_stride_y) = out_col3.s1; + *(__global float *)(dst_addr + 0 * dst_stride_x + 2 * dst_stride_y) = out_col0.s2; + *(__global float *)(dst_addr + 1 * dst_stride_x + 2 * dst_stride_y) = out_col1.s2; + *(__global float *)(dst_addr + 2 * dst_stride_x + 2 * dst_stride_y) = out_col2.s2; + *(__global float *)(dst_addr + 3 * dst_stride_x + 2 * dst_stride_y) = out_col3.s2; + *(__global float *)(dst_addr + 0 * dst_stride_x + 3 * dst_stride_y) = out_col0.s3; + *(__global float *)(dst_addr + 1 * dst_stride_x + 3 * dst_stride_y) = out_col1.s3; + *(__global float *)(dst_addr + 2 * dst_stride_x + 3 * dst_stride_y) = out_col2.s3; + *(__global float *)(dst_addr + 3 * dst_stride_x + 3 * dst_stride_y) = out_col3.s3; +} + +/** This OpenCL kernel performs Winograd output transform when the output tile is 4x4, the filter size 5x5 and the data layout is NHWC + * + * @note The number of tiles along the X direction must be passed at compile time using -DNUM_TILES_X: e.g. -DNUM_TILES_X=16 + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) + * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr + * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) + * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) + * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void winograd_output_transform_4x4_5x5_nhwc( + TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst), +#if defined(HAS_BIAS) + VECTOR_DECLARATION(bias), +#endif // defined(HAS_BIAS) + int dst_size) +{ + // Each thread stores a 4x4 tile + Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); + + const __global uchar *src_addr = tensor3D_offset(&src, 0, 0, 0); + + // Load the values across the 64 channels to compose the 8x8 input tile + float d00 = *((__global float *)(src_addr + 0 * src_stride_z)); + float d01 = *((__global float *)(src_addr + 1 * src_stride_z)); + float d02 = *((__global float *)(src_addr + 2 * src_stride_z)); + float d03 = *((__global float *)(src_addr + 3 * src_stride_z)); + float d04 = *((__global float *)(src_addr + 4 * src_stride_z)); + float d05 = *((__global float *)(src_addr + 5 * src_stride_z)); + float d06 = *((__global float *)(src_addr + 6 * src_stride_z)); + float d07 = *((__global float *)(src_addr + 7 * src_stride_z)); + + float d10 = *((__global float *)(src_addr + 8 * src_stride_z)); + float d11 = *((__global float *)(src_addr + 9 * src_stride_z)); + float d12 = *((__global float *)(src_addr + 10 * src_stride_z)); + float d13 = *((__global float *)(src_addr + 11 * src_stride_z)); + float d14 = *((__global float *)(src_addr + 12 * src_stride_z)); + float d15 = *((__global float *)(src_addr + 13 * src_stride_z)); + float d16 = *((__global float *)(src_addr + 14 * src_stride_z)); + float d17 = *((__global float *)(src_addr + 15 * src_stride_z)); + + float d20 = *((__global float *)(src_addr + 16 * src_stride_z)); + float d21 = *((__global float *)(src_addr + 17 * src_stride_z)); + float d22 = *((__global float *)(src_addr + 18 * src_stride_z)); + float d23 = *((__global float *)(src_addr + 19 * src_stride_z)); + float d24 = *((__global float *)(src_addr + 20 * src_stride_z)); + float d25 = *((__global float *)(src_addr + 21 * src_stride_z)); + float d26 = *((__global float *)(src_addr + 22 * src_stride_z)); + float d27 = *((__global float *)(src_addr + 23 * src_stride_z)); + + float d30 = *((__global float *)(src_addr + 24 * src_stride_z)); + float d31 = *((__global float *)(src_addr + 25 * src_stride_z)); + float d32 = *((__global float *)(src_addr + 26 * src_stride_z)); + float d33 = *((__global float *)(src_addr + 27 * src_stride_z)); + float d34 = *((__global float *)(src_addr + 28 * src_stride_z)); + float d35 = *((__global float *)(src_addr + 29 * src_stride_z)); + float d36 = *((__global float *)(src_addr + 30 * src_stride_z)); + float d37 = *((__global float *)(src_addr + 31 * src_stride_z)); + + float d40 = *((__global float *)(src_addr + 32 * src_stride_z)); + float d41 = *((__global float *)(src_addr + 33 * src_stride_z)); + float d42 = *((__global float *)(src_addr + 34 * src_stride_z)); + float d43 = *((__global float *)(src_addr + 35 * src_stride_z)); + float d44 = *((__global float *)(src_addr + 36 * src_stride_z)); + float d45 = *((__global float *)(src_addr + 37 * src_stride_z)); + float d46 = *((__global float *)(src_addr + 38 * src_stride_z)); + float d47 = *((__global float *)(src_addr + 39 * src_stride_z)); + + float d50 = *((__global float *)(src_addr + 40 * src_stride_z)); + float d51 = *((__global float *)(src_addr + 41 * src_stride_z)); + float d52 = *((__global float *)(src_addr + 42 * src_stride_z)); + float d53 = *((__global float *)(src_addr + 43 * src_stride_z)); + float d54 = *((__global float *)(src_addr + 44 * src_stride_z)); + float d55 = *((__global float *)(src_addr + 45 * src_stride_z)); + float d56 = *((__global float *)(src_addr + 46 * src_stride_z)); + float d57 = *((__global float *)(src_addr + 47 * src_stride_z)); + + float d60 = *((__global float *)(src_addr + 48 * src_stride_z)); + float d61 = *((__global float *)(src_addr + 49 * src_stride_z)); + float d62 = *((__global float *)(src_addr + 50 * src_stride_z)); + float d63 = *((__global float *)(src_addr + 51 * src_stride_z)); + float d64 = *((__global float *)(src_addr + 52 * src_stride_z)); + float d65 = *((__global float *)(src_addr + 53 * src_stride_z)); + float d66 = *((__global float *)(src_addr + 54 * src_stride_z)); + float d67 = *((__global float *)(src_addr + 55 * src_stride_z)); + + float d70 = *((__global float *)(src_addr + 56 * src_stride_z)); + float d71 = *((__global float *)(src_addr + 57 * src_stride_z)); + float d72 = *((__global float *)(src_addr + 58 * src_stride_z)); + float d73 = *((__global float *)(src_addr + 59 * src_stride_z)); + float d74 = *((__global float *)(src_addr + 60 * src_stride_z)); + float d75 = *((__global float *)(src_addr + 61 * src_stride_z)); + float d76 = *((__global float *)(src_addr + 62 * src_stride_z)); + float d77 = *((__global float *)(src_addr + 63 * src_stride_z)); + + // Compute the 8x4 intermediate tensor + float4 comm_fact0, comm_fact1, comm_fact2; + float4 tmp_col0, tmp_col1, tmp_col2, tmp_col3, tmp_col4, tmp_col5, tmp_col6, tmp_col7; + + COMPUTE_TMP_COL(tmp_col0, d00, d10, d20, d30, d40, d50, d60, d70, comm_fact0); + COMPUTE_TMP_COL(tmp_col1, d01, d11, d21, d31, d41, d51, d61, d71, comm_fact0); + COMPUTE_TMP_COL(tmp_col2, d02, d12, d22, d32, d42, d52, d62, d72, comm_fact0); + COMPUTE_TMP_COL(tmp_col3, d03, d13, d23, d33, d43, d53, d63, d73, comm_fact0); + COMPUTE_TMP_COL(tmp_col4, d04, d14, d24, d34, d44, d54, d64, d74, comm_fact0); + COMPUTE_TMP_COL(tmp_col5, d05, d15, d25, d35, d45, d55, d65, d75, comm_fact0); + COMPUTE_TMP_COL(tmp_col6, d06, d16, d26, d36, d46, d56, d66, d76, comm_fact0); + COMPUTE_TMP_COL(tmp_col7, d07, d17, d27, d37, d47, d57, d67, d77, comm_fact0); + + // Compute the 4x4 output tile + comm_fact0 = tmp_col1 + tmp_col2; + comm_fact1 = tmp_col3 + tmp_col4; + comm_fact2 = tmp_col5 + tmp_col6; + + float4 out_col0 = comm_fact0 + comm_fact1 + 8.f * comm_fact2 + tmp_col0; + float4 out_col2 = comm_fact0 + 4.f * comm_fact1 + 2.f * comm_fact2; + + comm_fact0 = tmp_col1 - tmp_col2; + comm_fact1 = tmp_col3 - tmp_col4; + comm_fact2 = tmp_col5 - tmp_col6; + + float4 out_col1 = comm_fact0 + 2.f * comm_fact1 + 4.f * comm_fact2; + float4 out_col3 = comm_fact0 + 8.f * comm_fact1 + comm_fact2 + tmp_col7; + + int y_in = get_global_id(1); + int x_out = get_global_id(0); + int y_out = (y_in % NUM_TILES_X) * 4; + int z_out = (y_in / NUM_TILES_X) * 4; + +#if defined(HAS_BIAS) + // Add bias + Vector bias = CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); + + float b = (float) * ((__global float *)(vector_offset(&bias, z_out))); + + out_col0 += (float4)b; + out_col1 += (float4)b; + out_col2 += (float4)b; + out_col3 += (float4)b; +#endif // defined(HAS_BIAS) + + // Get output address + int4 offset = (int4)(dst_offset_first_element_in_bytes + x_out * sizeof(float) + y_out * dst_stride_y + z_out * dst_stride_z); + offset = min(offset + (int4)(0, 1, 2, 3) * (int4)dst_stride_z, dst_size); // If address is beyond the last plane, clamp it to dst_size (which points to the last padding). + int4 mult_y = min(dst_size - offset, 1); // If out of bound, we don't want to increase dst_stride_y, so we set the multiplier to 0. It will be 1 otherwise. + + // Store the 4x4 output tile + *(__global float *)(dst_ptr + mult_y.s0 * 0 * dst_stride_y + offset.s0) = out_col0.s0; + *(__global float *)(dst_ptr + mult_y.s0 * 1 * dst_stride_y + offset.s0) = out_col1.s0; + *(__global float *)(dst_ptr + mult_y.s0 * 2 * dst_stride_y + offset.s0) = out_col2.s0; + *(__global float *)(dst_ptr + mult_y.s0 * 3 * dst_stride_y + offset.s0) = out_col3.s0; + *(__global float *)(dst_ptr + mult_y.s0 * 0 * dst_stride_y + offset.s1) = out_col0.s1; + *(__global float *)(dst_ptr + mult_y.s0 * 1 * dst_stride_y + offset.s1) = out_col1.s1; + *(__global float *)(dst_ptr + mult_y.s0 * 2 * dst_stride_y + offset.s1) = out_col2.s1; + *(__global float *)(dst_ptr + mult_y.s0 * 3 * dst_stride_y + offset.s1) = out_col3.s1; + *(__global float *)(dst_ptr + mult_y.s0 * 0 * dst_stride_y + offset.s2) = out_col0.s2; + *(__global float *)(dst_ptr + mult_y.s0 * 1 * dst_stride_y + offset.s2) = out_col1.s2; + *(__global float *)(dst_ptr + mult_y.s0 * 2 * dst_stride_y + offset.s2) = out_col2.s2; + *(__global float *)(dst_ptr + mult_y.s0 * 3 * dst_stride_y + offset.s2) = out_col3.s2; + *(__global float *)(dst_ptr + mult_y.s0 * 0 * dst_stride_y + offset.s3) = out_col0.s3; + *(__global float *)(dst_ptr + mult_y.s0 * 1 * dst_stride_y + offset.s3) = out_col1.s3; + *(__global float *)(dst_ptr + mult_y.s0 * 2 * dst_stride_y + offset.s3) = out_col2.s3; + *(__global float *)(dst_ptr + mult_y.s0 * 3 * dst_stride_y + offset.s3) = out_col3.s3; +} +#endif // defined(NUM_TILES_X) && defined(OUTPUT_TILE_W) && defined(OUTPUT_TILE_H)
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