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Diffstat (limited to 'src/core/CL/cl_kernels/winograd_filter_transform.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/winograd_filter_transform.cl | 1952 |
1 files changed, 0 insertions, 1952 deletions
diff --git a/src/core/CL/cl_kernels/winograd_filter_transform.cl b/src/core/CL/cl_kernels/winograd_filter_transform.cl deleted file mode 100644 index 5c3bb8aa9b..0000000000 --- a/src/core/CL/cl_kernels/winograd_filter_transform.cl +++ /dev/null @@ -1,1952 +0,0 @@ -/* - * Copyright (c) 2018-2019 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) - -#define OUTPUT_ROW_2x2_7x7(out, tmp) \ - ({ \ - out.s0 = -tmp.s0 / 36.f; \ - out.s1 = (tmp.s0 - tmp.s1 + tmp.s2 - tmp.s3 + tmp.s4 - tmp.s5 + tmp.s6) / 48.f; \ - out.s2 = (tmp.s0 + tmp.s1 + tmp.s2 + tmp.s3 + tmp.s4 + tmp.s5 + tmp.s6) / 48.f; \ - out.s3 = (-tmp.s0 + 2.f * tmp.s1 - 4.f * tmp.s2 + 8.f * tmp.s3 - 16.f * tmp.s4 + 32.f * tmp.s5 - 64.f * tmp.s6) / 120.f; \ - out.s4 = (-tmp.s0 - 2.f * tmp.s1 - 4.f * tmp.s2 - 8.f * tmp.s3 - 16.f * tmp.s4 - 32.f * tmp.s5 - 64.f * tmp.s6) / 120.f; \ - out.s5 = (tmp.s0 - 3.f * tmp.s1 + 9.f * tmp.s2 - 27.f * tmp.s3 + 81.f * tmp.s4 - 243.f * tmp.s5 + 729.f * tmp.s6) / 720.f; \ - out.s6 = (tmp.s0 + 3.f * tmp.s1 + 9.f * tmp.s2 + 27.f * tmp.s3 + 81.f * tmp.s4 + 243.f * tmp.s5 + 729.f * tmp.s6) / 720.f; \ - out.s7 = tmp.s6; \ - }) - -/** 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 - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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) - VEC_DATA_TYPE(DATA_TYPE, 3) - w0 = vload3(0, (__global DATA_TYPE *)(src_addr)); -#elif defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - VEC_DATA_TYPE(DATA_TYPE, 3) - w0 = (VEC_DATA_TYPE(DATA_TYPE, 3))(*((__global DATA_TYPE *)(src_addr + 0 * src_stride_y)), - *((__global DATA_TYPE *)(src_addr + 1 * src_stride_y)), - *((__global DATA_TYPE *)(src_addr + 2 * src_stride_y))); -#else // defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - VEC_DATA_TYPE(DATA_TYPE, 3) - w0 = vload3(0, (__global DATA_TYPE *)(src_addr + 0 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 3) - w1 = vload3(0, (__global DATA_TYPE *)(src_addr + 1 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 3) - w2 = vload3(0, (__global DATA_TYPE *)(src_addr + 2 * src_stride_y)); -#endif // defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - - // Row 0 - VEC_DATA_TYPE(DATA_TYPE, 4) - 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 - VEC_DATA_TYPE(DATA_TYPE, 4) - 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 - VEC_DATA_TYPE(DATA_TYPE, 4) - 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 - VEC_DATA_TYPE(DATA_TYPE, 4) - 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 DATA_TYPE *)(dst_addr + 0 * dst_stride_z) = out0.s0; - *(__global DATA_TYPE *)(dst_addr + 1 * dst_stride_z) = out0.s1; - *(__global DATA_TYPE *)(dst_addr + 2 * dst_stride_z) = out0.s2; - *(__global DATA_TYPE *)(dst_addr + 3 * dst_stride_z) = out0.s3; - -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - *(__global DATA_TYPE *)(dst_addr + 4 * dst_stride_z) = out1.s0; - *(__global DATA_TYPE *)(dst_addr + 5 * dst_stride_z) = out1.s1; - *(__global DATA_TYPE *)(dst_addr + 6 * dst_stride_z) = out1.s2; - *(__global DATA_TYPE *)(dst_addr + 7 * dst_stride_z) = out1.s3; - *(__global DATA_TYPE *)(dst_addr + 8 * dst_stride_z) = out2.s0; - *(__global DATA_TYPE *)(dst_addr + 9 * dst_stride_z) = out2.s1; - *(__global DATA_TYPE *)(dst_addr + 10 * dst_stride_z) = out2.s2; - *(__global DATA_TYPE *)(dst_addr + 11 * dst_stride_z) = out2.s3; - *(__global DATA_TYPE *)(dst_addr + 12 * dst_stride_z) = out3.s0; - *(__global DATA_TYPE *)(dst_addr + 13 * dst_stride_z) = out3.s1; - *(__global DATA_TYPE *)(dst_addr + 14 * dst_stride_z) = out3.s2; - *(__global DATA_TYPE *)(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 - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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) - VEC_DATA_TYPE(DATA_TYPE, 3) - w0 = vload3(0, (__global DATA_TYPE *)(src_addr)); -#elif defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - VEC_DATA_TYPE(DATA_TYPE, 3) - w0 = (VEC_DATA_TYPE(DATA_TYPE, 3))(*((__global DATA_TYPE *)(src_addr + 0 * src_stride_y)), - *((__global DATA_TYPE *)(src_addr + 1 * src_stride_y)), - *((__global DATA_TYPE *)(src_addr + 2 * src_stride_y))); -#else // defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - VEC_DATA_TYPE(DATA_TYPE, 3) - w0 = vload3(0, (__global DATA_TYPE *)(src_addr + 0 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 3) - w1 = vload3(0, (__global DATA_TYPE *)(src_addr + 1 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 3) - w2 = vload3(0, (__global DATA_TYPE *)(src_addr + 2 * src_stride_y)); -#endif // defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - - // Row 0 - VEC_DATA_TYPE(DATA_TYPE, 8) - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - 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 DATA_TYPE *)(dst_addr + 0 * dst_stride_z) = out0.s0; - *(__global DATA_TYPE *)(dst_addr + 1 * dst_stride_z) = out0.s1; - *(__global DATA_TYPE *)(dst_addr + 2 * dst_stride_z) = out0.s2; - *(__global DATA_TYPE *)(dst_addr + 3 * dst_stride_z) = out0.s3; - *(__global DATA_TYPE *)(dst_addr + 4 * dst_stride_z) = out0.s4; - *(__global DATA_TYPE *)(dst_addr + 5 * dst_stride_z) = out0.s5; - -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - *(__global DATA_TYPE *)(dst_addr + 6 * dst_stride_z) = out1.s0; - *(__global DATA_TYPE *)(dst_addr + 7 * dst_stride_z) = out1.s1; - *(__global DATA_TYPE *)(dst_addr + 8 * dst_stride_z) = out1.s2; - *(__global DATA_TYPE *)(dst_addr + 9 * dst_stride_z) = out1.s3; - *(__global DATA_TYPE *)(dst_addr + 10 * dst_stride_z) = out1.s4; - *(__global DATA_TYPE *)(dst_addr + 11 * dst_stride_z) = out1.s5; - *(__global DATA_TYPE *)(dst_addr + 12 * dst_stride_z) = out2.s0; - *(__global DATA_TYPE *)(dst_addr + 13 * dst_stride_z) = out2.s1; - *(__global DATA_TYPE *)(dst_addr + 14 * dst_stride_z) = out2.s2; - *(__global DATA_TYPE *)(dst_addr + 15 * dst_stride_z) = out2.s3; - *(__global DATA_TYPE *)(dst_addr + 16 * dst_stride_z) = out2.s4; - *(__global DATA_TYPE *)(dst_addr + 17 * dst_stride_z) = out2.s5; - *(__global DATA_TYPE *)(dst_addr + 18 * dst_stride_z) = out3.s0; - *(__global DATA_TYPE *)(dst_addr + 19 * dst_stride_z) = out3.s1; - *(__global DATA_TYPE *)(dst_addr + 20 * dst_stride_z) = out3.s2; - *(__global DATA_TYPE *)(dst_addr + 21 * dst_stride_z) = out3.s3; - *(__global DATA_TYPE *)(dst_addr + 22 * dst_stride_z) = out3.s4; - *(__global DATA_TYPE *)(dst_addr + 23 * dst_stride_z) = out3.s5; - *(__global DATA_TYPE *)(dst_addr + 24 * dst_stride_z) = out4.s0; - *(__global DATA_TYPE *)(dst_addr + 25 * dst_stride_z) = out4.s1; - *(__global DATA_TYPE *)(dst_addr + 26 * dst_stride_z) = out4.s2; - *(__global DATA_TYPE *)(dst_addr + 27 * dst_stride_z) = out4.s3; - *(__global DATA_TYPE *)(dst_addr + 28 * dst_stride_z) = out4.s4; - *(__global DATA_TYPE *)(dst_addr + 29 * dst_stride_z) = out4.s5; - *(__global DATA_TYPE *)(dst_addr + 30 * dst_stride_z) = out5.s0; - *(__global DATA_TYPE *)(dst_addr + 31 * dst_stride_z) = out5.s1; - *(__global DATA_TYPE *)(dst_addr + 32 * dst_stride_z) = out5.s2; - *(__global DATA_TYPE *)(dst_addr + 33 * dst_stride_z) = out5.s3; - *(__global DATA_TYPE *)(dst_addr + 34 * dst_stride_z) = out5.s4; - *(__global DATA_TYPE *)(dst_addr + 35 * dst_stride_z) = out5.s5; -#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 NHWC 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 - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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 -#if defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - DATA_TYPE w00 = *((__global DATA_TYPE *)(src_addr + 0 * src_stride_z)); - DATA_TYPE w01 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z)); - DATA_TYPE w02 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z)); -#else // defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - DATA_TYPE w00 = *((__global DATA_TYPE *)(src_addr + 0 * src_stride_z + 0 * src_stride_y)); - DATA_TYPE w01 = *((__global DATA_TYPE *)(src_addr + 0 * src_stride_z + 1 * src_stride_y)); - DATA_TYPE w02 = *((__global DATA_TYPE *)(src_addr + 0 * src_stride_z + 2 * src_stride_y)); -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - DATA_TYPE w10 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z + 0 * src_stride_y)); - DATA_TYPE w11 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z + 1 * src_stride_y)); - DATA_TYPE w12 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z + 2 * src_stride_y)); - DATA_TYPE w20 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z + 0 * src_stride_y)); - DATA_TYPE w21 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z + 1 * src_stride_y)); - DATA_TYPE w22 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z + 2 * src_stride_y)); -#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) -#endif // defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - - // Row 0 - DATA_TYPE out00, out01, out02, out03, out04, out05; - 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; - -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - // Row 1 - DATA_TYPE out10, out11, out12, out13, out14, out15; - 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 - DATA_TYPE out20, out21, out22, out23, out24, out25; - 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 - DATA_TYPE out30, out31, out32, out33, out34, out35; - 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 - DATA_TYPE out40, out41, out42, out43, out44, out45; - 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 - DATA_TYPE out50, out51, out52, out53, out54, out55; - 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); -#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - - 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(DATA_TYPE) + y0 * dst_stride_y; - - // Store the values across the channels - // 36 channels for 3x3 kernels - // 6 channels for 3x1 or 1x3 kernels - *(__global DATA_TYPE *)(dst_addr + 0 * dst_stride_z) = out00; - *(__global DATA_TYPE *)(dst_addr + 1 * dst_stride_z) = out01; - *(__global DATA_TYPE *)(dst_addr + 2 * dst_stride_z) = out02; - *(__global DATA_TYPE *)(dst_addr + 3 * dst_stride_z) = out03; - *(__global DATA_TYPE *)(dst_addr + 4 * dst_stride_z) = out04; - *(__global DATA_TYPE *)(dst_addr + 5 * dst_stride_z) = out05; -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - *(__global DATA_TYPE *)(dst_addr + 6 * dst_stride_z) = out10; - *(__global DATA_TYPE *)(dst_addr + 7 * dst_stride_z) = out11; - *(__global DATA_TYPE *)(dst_addr + 8 * dst_stride_z) = out12; - *(__global DATA_TYPE *)(dst_addr + 9 * dst_stride_z) = out13; - *(__global DATA_TYPE *)(dst_addr + 10 * dst_stride_z) = out14; - *(__global DATA_TYPE *)(dst_addr + 11 * dst_stride_z) = out15; - *(__global DATA_TYPE *)(dst_addr + 12 * dst_stride_z) = out20; - *(__global DATA_TYPE *)(dst_addr + 13 * dst_stride_z) = out21; - *(__global DATA_TYPE *)(dst_addr + 14 * dst_stride_z) = out22; - *(__global DATA_TYPE *)(dst_addr + 15 * dst_stride_z) = out23; - *(__global DATA_TYPE *)(dst_addr + 16 * dst_stride_z) = out24; - *(__global DATA_TYPE *)(dst_addr + 17 * dst_stride_z) = out25; - *(__global DATA_TYPE *)(dst_addr + 18 * dst_stride_z) = out30; - *(__global DATA_TYPE *)(dst_addr + 19 * dst_stride_z) = out31; - *(__global DATA_TYPE *)(dst_addr + 20 * dst_stride_z) = out32; - *(__global DATA_TYPE *)(dst_addr + 21 * dst_stride_z) = out33; - *(__global DATA_TYPE *)(dst_addr + 22 * dst_stride_z) = out34; - *(__global DATA_TYPE *)(dst_addr + 23 * dst_stride_z) = out35; - *(__global DATA_TYPE *)(dst_addr + 24 * dst_stride_z) = out40; - *(__global DATA_TYPE *)(dst_addr + 25 * dst_stride_z) = out41; - *(__global DATA_TYPE *)(dst_addr + 26 * dst_stride_z) = out42; - *(__global DATA_TYPE *)(dst_addr + 27 * dst_stride_z) = out43; - *(__global DATA_TYPE *)(dst_addr + 28 * dst_stride_z) = out44; - *(__global DATA_TYPE *)(dst_addr + 29 * dst_stride_z) = out45; - *(__global DATA_TYPE *)(dst_addr + 30 * dst_stride_z) = out50; - *(__global DATA_TYPE *)(dst_addr + 31 * dst_stride_z) = out51; - *(__global DATA_TYPE *)(dst_addr + 32 * dst_stride_z) = out52; - *(__global DATA_TYPE *)(dst_addr + 33 * dst_stride_z) = out53; - *(__global DATA_TYPE *)(dst_addr + 34 * dst_stride_z) = out54; - *(__global DATA_TYPE *)(dst_addr + 35 * dst_stride_z) = out55; -#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) -} - -/** This OpenCL kernel performs Winograd filter transform 5x5/5x1 or 1x5 when the data layout is NCHW and the output tile is 4x4/4x1 or 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 5x1, -DWINOGRAD_FILTER_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd filter transform 1x5, -DWINOGRAD_FILTER_TRANSFORM_VERTICAL has to be passed at compile time - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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 -#if defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - VEC_DATA_TYPE(DATA_TYPE, 4) - w00 = vload4(0, (__global DATA_TYPE *)(src_addr + 0 * src_stride_y)); - DATA_TYPE w01 = *((__global DATA_TYPE *)(src_addr + 0 * src_stride_y) + 4); -#elif defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - VEC_DATA_TYPE(DATA_TYPE, 4) - w00 = (VEC_DATA_TYPE(DATA_TYPE, 4))(*((__global DATA_TYPE *)(src_addr + 0 * src_stride_y)), - *((__global DATA_TYPE *)(src_addr + 1 * src_stride_y)), - *((__global DATA_TYPE *)(src_addr + 2 * src_stride_y)), - *((__global DATA_TYPE *)(src_addr + 3 * src_stride_y))); - DATA_TYPE w01 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_y)); -#else // defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - VEC_DATA_TYPE(DATA_TYPE, 4) - w00 = vload4(0, (__global DATA_TYPE *)(src_addr + 0 * src_stride_y)); - DATA_TYPE w01 = *((__global DATA_TYPE *)(src_addr + 0 * src_stride_y) + 4); - VEC_DATA_TYPE(DATA_TYPE, 4) - w10 = vload4(0, (__global DATA_TYPE *)(src_addr + 1 * src_stride_y)); - DATA_TYPE w11 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_y) + 4); - VEC_DATA_TYPE(DATA_TYPE, 4) - w20 = vload4(0, (__global DATA_TYPE *)(src_addr + 2 * src_stride_y)); - DATA_TYPE w21 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_y) + 4); - VEC_DATA_TYPE(DATA_TYPE, 4) - w30 = vload4(0, (__global DATA_TYPE *)(src_addr + 3 * src_stride_y)); - DATA_TYPE w31 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_y) + 4); - VEC_DATA_TYPE(DATA_TYPE, 4) - w40 = vload4(0, (__global DATA_TYPE *)(src_addr + 4 * src_stride_y)); - DATA_TYPE w41 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_y) + 4); -#endif // defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - - // Transform the input tile - - // Row 0 - VEC_DATA_TYPE(DATA_TYPE, 8) - out0 = 0.0f; - 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; - -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - // Row 1 - VEC_DATA_TYPE(DATA_TYPE, 8) - out1 = 0.0f; - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - out2 = 0.0f; - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - out3 = 0.0f; - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - out4 = 0.0f; - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - out5 = 0.0f; - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - out6 = 0.0f; - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - out7 = 0.0f; - 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; -#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 * sizeof(DATA_TYPE) + y0 * dst_stride_y; - - // Store the values across the channels - *(__global DATA_TYPE *)(dst_addr + 0 * dst_stride_z) = out0.s0; - *(__global DATA_TYPE *)(dst_addr + 1 * dst_stride_z) = out0.s1; - *(__global DATA_TYPE *)(dst_addr + 2 * dst_stride_z) = out0.s2; - *(__global DATA_TYPE *)(dst_addr + 3 * dst_stride_z) = out0.s3; - *(__global DATA_TYPE *)(dst_addr + 4 * dst_stride_z) = out0.s4; - *(__global DATA_TYPE *)(dst_addr + 5 * dst_stride_z) = out0.s5; - *(__global DATA_TYPE *)(dst_addr + 6 * dst_stride_z) = out0.s6; - *(__global DATA_TYPE *)(dst_addr + 7 * dst_stride_z) = out0.s7; - -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - *(__global DATA_TYPE *)(dst_addr + 8 * dst_stride_z) = out1.s0; - *(__global DATA_TYPE *)(dst_addr + 9 * dst_stride_z) = out1.s1; - *(__global DATA_TYPE *)(dst_addr + 10 * dst_stride_z) = out1.s2; - *(__global DATA_TYPE *)(dst_addr + 11 * dst_stride_z) = out1.s3; - *(__global DATA_TYPE *)(dst_addr + 12 * dst_stride_z) = out1.s4; - *(__global DATA_TYPE *)(dst_addr + 13 * dst_stride_z) = out1.s5; - *(__global DATA_TYPE *)(dst_addr + 14 * dst_stride_z) = out1.s6; - *(__global DATA_TYPE *)(dst_addr + 15 * dst_stride_z) = out1.s7; - *(__global DATA_TYPE *)(dst_addr + 16 * dst_stride_z) = out2.s0; - *(__global DATA_TYPE *)(dst_addr + 17 * dst_stride_z) = out2.s1; - *(__global DATA_TYPE *)(dst_addr + 18 * dst_stride_z) = out2.s2; - *(__global DATA_TYPE *)(dst_addr + 19 * dst_stride_z) = out2.s3; - *(__global DATA_TYPE *)(dst_addr + 20 * dst_stride_z) = out2.s4; - *(__global DATA_TYPE *)(dst_addr + 21 * dst_stride_z) = out2.s5; - *(__global DATA_TYPE *)(dst_addr + 22 * dst_stride_z) = out2.s6; - *(__global DATA_TYPE *)(dst_addr + 23 * dst_stride_z) = out2.s7; - *(__global DATA_TYPE *)(dst_addr + 24 * dst_stride_z) = out3.s0; - *(__global DATA_TYPE *)(dst_addr + 25 * dst_stride_z) = out3.s1; - *(__global DATA_TYPE *)(dst_addr + 26 * dst_stride_z) = out3.s2; - *(__global DATA_TYPE *)(dst_addr + 27 * dst_stride_z) = out3.s3; - *(__global DATA_TYPE *)(dst_addr + 28 * dst_stride_z) = out3.s4; - *(__global DATA_TYPE *)(dst_addr + 29 * dst_stride_z) = out3.s5; - *(__global DATA_TYPE *)(dst_addr + 30 * dst_stride_z) = out3.s6; - *(__global DATA_TYPE *)(dst_addr + 31 * dst_stride_z) = out3.s7; - *(__global DATA_TYPE *)(dst_addr + 32 * dst_stride_z) = out4.s0; - *(__global DATA_TYPE *)(dst_addr + 33 * dst_stride_z) = out4.s1; - *(__global DATA_TYPE *)(dst_addr + 34 * dst_stride_z) = out4.s2; - *(__global DATA_TYPE *)(dst_addr + 35 * dst_stride_z) = out4.s3; - *(__global DATA_TYPE *)(dst_addr + 36 * dst_stride_z) = out4.s4; - *(__global DATA_TYPE *)(dst_addr + 37 * dst_stride_z) = out4.s5; - *(__global DATA_TYPE *)(dst_addr + 38 * dst_stride_z) = out4.s6; - *(__global DATA_TYPE *)(dst_addr + 39 * dst_stride_z) = out4.s7; - *(__global DATA_TYPE *)(dst_addr + 40 * dst_stride_z) = out5.s0; - *(__global DATA_TYPE *)(dst_addr + 41 * dst_stride_z) = out5.s1; - *(__global DATA_TYPE *)(dst_addr + 42 * dst_stride_z) = out5.s2; - *(__global DATA_TYPE *)(dst_addr + 43 * dst_stride_z) = out5.s3; - *(__global DATA_TYPE *)(dst_addr + 44 * dst_stride_z) = out5.s4; - *(__global DATA_TYPE *)(dst_addr + 45 * dst_stride_z) = out5.s5; - *(__global DATA_TYPE *)(dst_addr + 46 * dst_stride_z) = out5.s6; - *(__global DATA_TYPE *)(dst_addr + 47 * dst_stride_z) = out5.s7; - *(__global DATA_TYPE *)(dst_addr + 48 * dst_stride_z) = out6.s0; - *(__global DATA_TYPE *)(dst_addr + 49 * dst_stride_z) = out6.s1; - *(__global DATA_TYPE *)(dst_addr + 50 * dst_stride_z) = out6.s2; - *(__global DATA_TYPE *)(dst_addr + 51 * dst_stride_z) = out6.s3; - *(__global DATA_TYPE *)(dst_addr + 52 * dst_stride_z) = out6.s4; - *(__global DATA_TYPE *)(dst_addr + 53 * dst_stride_z) = out6.s5; - *(__global DATA_TYPE *)(dst_addr + 54 * dst_stride_z) = out6.s6; - *(__global DATA_TYPE *)(dst_addr + 55 * dst_stride_z) = out6.s7; - *(__global DATA_TYPE *)(dst_addr + 56 * dst_stride_z) = out7.s0; - *(__global DATA_TYPE *)(dst_addr + 57 * dst_stride_z) = out7.s1; - *(__global DATA_TYPE *)(dst_addr + 58 * dst_stride_z) = out7.s2; - *(__global DATA_TYPE *)(dst_addr + 59 * dst_stride_z) = out7.s3; - *(__global DATA_TYPE *)(dst_addr + 60 * dst_stride_z) = out7.s4; - *(__global DATA_TYPE *)(dst_addr + 61 * dst_stride_z) = out7.s5; - *(__global DATA_TYPE *)(dst_addr + 62 * dst_stride_z) = out7.s6; - *(__global DATA_TYPE *)(dst_addr + 63 * dst_stride_z) = out7.s7; -#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) -} - -/** This OpenCL kernel performs Winograd filter transform 5x5/5x1 or 1x5 when the data layout is NHWC and the output tile is 4x4/4x1 or 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 5x1, -DWINOGRAD_FILTER_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd filter transform 1x5, -DWINOGRAD_FILTER_TRANSFORM_VERTICAL has to be passed at compile time - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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(DATA_TYPE) + get_global_id(1) * src_step_y + get_global_id(2) * src_step_w; - -#if defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - // Load the values from the input tensor - DATA_TYPE w00 = *((__global DATA_TYPE *)(src_addr + 0 * src_stride_z)); - DATA_TYPE w01 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z)); - DATA_TYPE w02 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z)); - DATA_TYPE w03 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_z)); - DATA_TYPE w04 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_z)); -#else // defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - // Load the values from the input tensor - DATA_TYPE w00 = *((__global DATA_TYPE *)(src_addr + 0 * src_stride_y)); - DATA_TYPE w01 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_y)); - DATA_TYPE w02 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_y)); - DATA_TYPE w03 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_y)); - DATA_TYPE w04 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_y)); -#endif // defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - DATA_TYPE w10 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z + 0 * src_stride_y)); - DATA_TYPE w11 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z + 1 * src_stride_y)); - DATA_TYPE w12 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z + 2 * src_stride_y)); - DATA_TYPE w13 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z + 3 * src_stride_y)); - DATA_TYPE w14 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z + 4 * src_stride_y)); - DATA_TYPE w20 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z + 0 * src_stride_y)); - DATA_TYPE w21 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z + 1 * src_stride_y)); - DATA_TYPE w22 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z + 2 * src_stride_y)); - DATA_TYPE w23 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z + 3 * src_stride_y)); - DATA_TYPE w24 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z + 4 * src_stride_y)); - DATA_TYPE w30 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_z + 0 * src_stride_y)); - DATA_TYPE w31 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_z + 1 * src_stride_y)); - DATA_TYPE w32 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_z + 2 * src_stride_y)); - DATA_TYPE w33 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_z + 3 * src_stride_y)); - DATA_TYPE w34 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_z + 4 * src_stride_y)); - DATA_TYPE w40 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_z + 0 * src_stride_y)); - DATA_TYPE w41 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_z + 1 * src_stride_y)); - DATA_TYPE w42 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_z + 2 * src_stride_y)); - DATA_TYPE w43 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_z + 3 * src_stride_y)); - DATA_TYPE w44 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_z + 4 * src_stride_y)); -#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - - // Row 0 - VEC_DATA_TYPE(DATA_TYPE, 8) - out0 = 0.0f; - 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; - -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - // Row 1 - VEC_DATA_TYPE(DATA_TYPE, 8) - out1 = 0.0f; - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - out2 = 0.0f; - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - out3 = 0.0f; - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - out4 = 0.0f; - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - out5 = 0.0f; - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - out6 = 0.0f; - 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 - VEC_DATA_TYPE(DATA_TYPE, 8) - out7 = 0.0f; - 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; -#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - - 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(DATA_TYPE) + y0 * dst_stride_y; - - // Store the values across the channels - *(__global DATA_TYPE *)(dst_addr + 0 * dst_stride_z) = out0.s0; - *(__global DATA_TYPE *)(dst_addr + 1 * dst_stride_z) = out0.s1; - *(__global DATA_TYPE *)(dst_addr + 2 * dst_stride_z) = out0.s2; - *(__global DATA_TYPE *)(dst_addr + 3 * dst_stride_z) = out0.s3; - *(__global DATA_TYPE *)(dst_addr + 4 * dst_stride_z) = out0.s4; - *(__global DATA_TYPE *)(dst_addr + 5 * dst_stride_z) = out0.s5; - *(__global DATA_TYPE *)(dst_addr + 6 * dst_stride_z) = out0.s6; - *(__global DATA_TYPE *)(dst_addr + 7 * dst_stride_z) = out0.s7; - -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - *(__global DATA_TYPE *)(dst_addr + 8 * dst_stride_z) = out1.s0; - *(__global DATA_TYPE *)(dst_addr + 9 * dst_stride_z) = out1.s1; - *(__global DATA_TYPE *)(dst_addr + 10 * dst_stride_z) = out1.s2; - *(__global DATA_TYPE *)(dst_addr + 11 * dst_stride_z) = out1.s3; - *(__global DATA_TYPE *)(dst_addr + 12 * dst_stride_z) = out1.s4; - *(__global DATA_TYPE *)(dst_addr + 13 * dst_stride_z) = out1.s5; - *(__global DATA_TYPE *)(dst_addr + 14 * dst_stride_z) = out1.s6; - *(__global DATA_TYPE *)(dst_addr + 15 * dst_stride_z) = out1.s7; - *(__global DATA_TYPE *)(dst_addr + 16 * dst_stride_z) = out2.s0; - *(__global DATA_TYPE *)(dst_addr + 17 * dst_stride_z) = out2.s1; - *(__global DATA_TYPE *)(dst_addr + 18 * dst_stride_z) = out2.s2; - *(__global DATA_TYPE *)(dst_addr + 19 * dst_stride_z) = out2.s3; - *(__global DATA_TYPE *)(dst_addr + 20 * dst_stride_z) = out2.s4; - *(__global DATA_TYPE *)(dst_addr + 21 * dst_stride_z) = out2.s5; - *(__global DATA_TYPE *)(dst_addr + 22 * dst_stride_z) = out2.s6; - *(__global DATA_TYPE *)(dst_addr + 23 * dst_stride_z) = out2.s7; - *(__global DATA_TYPE *)(dst_addr + 24 * dst_stride_z) = out3.s0; - *(__global DATA_TYPE *)(dst_addr + 25 * dst_stride_z) = out3.s1; - *(__global DATA_TYPE *)(dst_addr + 26 * dst_stride_z) = out3.s2; - *(__global DATA_TYPE *)(dst_addr + 27 * dst_stride_z) = out3.s3; - *(__global DATA_TYPE *)(dst_addr + 28 * dst_stride_z) = out3.s4; - *(__global DATA_TYPE *)(dst_addr + 29 * dst_stride_z) = out3.s5; - *(__global DATA_TYPE *)(dst_addr + 30 * dst_stride_z) = out3.s6; - *(__global DATA_TYPE *)(dst_addr + 31 * dst_stride_z) = out3.s7; - *(__global DATA_TYPE *)(dst_addr + 32 * dst_stride_z) = out4.s0; - *(__global DATA_TYPE *)(dst_addr + 33 * dst_stride_z) = out4.s1; - *(__global DATA_TYPE *)(dst_addr + 34 * dst_stride_z) = out4.s2; - *(__global DATA_TYPE *)(dst_addr + 35 * dst_stride_z) = out4.s3; - *(__global DATA_TYPE *)(dst_addr + 36 * dst_stride_z) = out4.s4; - *(__global DATA_TYPE *)(dst_addr + 37 * dst_stride_z) = out4.s5; - *(__global DATA_TYPE *)(dst_addr + 38 * dst_stride_z) = out4.s6; - *(__global DATA_TYPE *)(dst_addr + 39 * dst_stride_z) = out4.s7; - *(__global DATA_TYPE *)(dst_addr + 40 * dst_stride_z) = out5.s0; - *(__global DATA_TYPE *)(dst_addr + 41 * dst_stride_z) = out5.s1; - *(__global DATA_TYPE *)(dst_addr + 42 * dst_stride_z) = out5.s2; - *(__global DATA_TYPE *)(dst_addr + 43 * dst_stride_z) = out5.s3; - *(__global DATA_TYPE *)(dst_addr + 44 * dst_stride_z) = out5.s4; - *(__global DATA_TYPE *)(dst_addr + 45 * dst_stride_z) = out5.s5; - *(__global DATA_TYPE *)(dst_addr + 46 * dst_stride_z) = out5.s6; - *(__global DATA_TYPE *)(dst_addr + 47 * dst_stride_z) = out5.s7; - *(__global DATA_TYPE *)(dst_addr + 48 * dst_stride_z) = out6.s0; - *(__global DATA_TYPE *)(dst_addr + 49 * dst_stride_z) = out6.s1; - *(__global DATA_TYPE *)(dst_addr + 50 * dst_stride_z) = out6.s2; - *(__global DATA_TYPE *)(dst_addr + 51 * dst_stride_z) = out6.s3; - *(__global DATA_TYPE *)(dst_addr + 52 * dst_stride_z) = out6.s4; - *(__global DATA_TYPE *)(dst_addr + 53 * dst_stride_z) = out6.s5; - *(__global DATA_TYPE *)(dst_addr + 54 * dst_stride_z) = out6.s6; - *(__global DATA_TYPE *)(dst_addr + 55 * dst_stride_z) = out6.s7; - *(__global DATA_TYPE *)(dst_addr + 56 * dst_stride_z) = out7.s0; - *(__global DATA_TYPE *)(dst_addr + 57 * dst_stride_z) = out7.s1; - *(__global DATA_TYPE *)(dst_addr + 58 * dst_stride_z) = out7.s2; - *(__global DATA_TYPE *)(dst_addr + 59 * dst_stride_z) = out7.s3; - *(__global DATA_TYPE *)(dst_addr + 60 * dst_stride_z) = out7.s4; - *(__global DATA_TYPE *)(dst_addr + 61 * dst_stride_z) = out7.s5; - *(__global DATA_TYPE *)(dst_addr + 62 * dst_stride_z) = out7.s6; - *(__global DATA_TYPE *)(dst_addr + 63 * dst_stride_z) = out7.s7; -#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) -} -/** This OpenCL kernel performs Winograd filter transform 7x7/7x1 or 1x7 when the data layout is NHWC and the output tile is 2x2/2x1 or 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 7x1, -DWINOGRAD_FILTER_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd filter transform 1x7, -DWINOGRAD_FILTER_TRANSFORM_VERTICAL has to be passed at compile time - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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_7x7_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(DATA_TYPE) + get_global_id(1) * src_step_y + get_global_id(2) * src_step_w; - -#if defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - // Load the values from the input tensor - DATA_TYPE w00 = *((__global DATA_TYPE *)(src_addr + 0 * src_stride_z)); - DATA_TYPE w01 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z)); - DATA_TYPE w02 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z)); - DATA_TYPE w03 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_z)); - DATA_TYPE w04 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_z)); - DATA_TYPE w05 = *((__global DATA_TYPE *)(src_addr + 5 * src_stride_z)); - DATA_TYPE w06 = *((__global DATA_TYPE *)(src_addr + 6 * src_stride_z)); -#else // defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - // Load the values from the input tensor - DATA_TYPE w00 = *((__global DATA_TYPE *)(src_addr + 0 * src_stride_y)); - DATA_TYPE w01 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_y)); - DATA_TYPE w02 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_y)); - DATA_TYPE w03 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_y)); - DATA_TYPE w04 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_y)); - DATA_TYPE w05 = *((__global DATA_TYPE *)(src_addr + 5 * src_stride_y)); - DATA_TYPE w06 = *((__global DATA_TYPE *)(src_addr + 6 * src_stride_y)); -#endif // defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - DATA_TYPE w10 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z + 0 * src_stride_y)); - DATA_TYPE w11 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z + 1 * src_stride_y)); - DATA_TYPE w12 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z + 2 * src_stride_y)); - DATA_TYPE w13 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z + 3 * src_stride_y)); - DATA_TYPE w14 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z + 4 * src_stride_y)); - DATA_TYPE w15 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z + 5 * src_stride_y)); - DATA_TYPE w16 = *((__global DATA_TYPE *)(src_addr + 1 * src_stride_z + 6 * src_stride_y)); - - DATA_TYPE w20 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z + 0 * src_stride_y)); - DATA_TYPE w21 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z + 1 * src_stride_y)); - DATA_TYPE w22 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z + 2 * src_stride_y)); - DATA_TYPE w23 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z + 3 * src_stride_y)); - DATA_TYPE w24 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z + 4 * src_stride_y)); - DATA_TYPE w25 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z + 5 * src_stride_y)); - DATA_TYPE w26 = *((__global DATA_TYPE *)(src_addr + 2 * src_stride_z + 6 * src_stride_y)); - - DATA_TYPE w30 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_z + 0 * src_stride_y)); - DATA_TYPE w31 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_z + 1 * src_stride_y)); - DATA_TYPE w32 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_z + 2 * src_stride_y)); - DATA_TYPE w33 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_z + 3 * src_stride_y)); - DATA_TYPE w34 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_z + 4 * src_stride_y)); - DATA_TYPE w35 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_z + 5 * src_stride_y)); - DATA_TYPE w36 = *((__global DATA_TYPE *)(src_addr + 3 * src_stride_z + 6 * src_stride_y)); - - DATA_TYPE w40 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_z + 0 * src_stride_y)); - DATA_TYPE w41 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_z + 1 * src_stride_y)); - DATA_TYPE w42 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_z + 2 * src_stride_y)); - DATA_TYPE w43 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_z + 3 * src_stride_y)); - DATA_TYPE w44 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_z + 4 * src_stride_y)); - DATA_TYPE w45 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_z + 5 * src_stride_y)); - DATA_TYPE w46 = *((__global DATA_TYPE *)(src_addr + 4 * src_stride_z + 6 * src_stride_y)); - - DATA_TYPE w50 = *((__global DATA_TYPE *)(src_addr + 5 * src_stride_z + 0 * src_stride_y)); - DATA_TYPE w51 = *((__global DATA_TYPE *)(src_addr + 5 * src_stride_z + 1 * src_stride_y)); - DATA_TYPE w52 = *((__global DATA_TYPE *)(src_addr + 5 * src_stride_z + 2 * src_stride_y)); - DATA_TYPE w53 = *((__global DATA_TYPE *)(src_addr + 5 * src_stride_z + 3 * src_stride_y)); - DATA_TYPE w54 = *((__global DATA_TYPE *)(src_addr + 5 * src_stride_z + 4 * src_stride_y)); - DATA_TYPE w55 = *((__global DATA_TYPE *)(src_addr + 5 * src_stride_z + 5 * src_stride_y)); - DATA_TYPE w56 = *((__global DATA_TYPE *)(src_addr + 5 * src_stride_z + 6 * src_stride_y)); - - DATA_TYPE w60 = *((__global DATA_TYPE *)(src_addr + 6 * src_stride_z + 0 * src_stride_y)); - DATA_TYPE w61 = *((__global DATA_TYPE *)(src_addr + 6 * src_stride_z + 1 * src_stride_y)); - DATA_TYPE w62 = *((__global DATA_TYPE *)(src_addr + 6 * src_stride_z + 2 * src_stride_y)); - DATA_TYPE w63 = *((__global DATA_TYPE *)(src_addr + 6 * src_stride_z + 3 * src_stride_y)); - DATA_TYPE w64 = *((__global DATA_TYPE *)(src_addr + 6 * src_stride_z + 4 * src_stride_y)); - DATA_TYPE w65 = *((__global DATA_TYPE *)(src_addr + 6 * src_stride_z + 5 * src_stride_y)); - DATA_TYPE w66 = *((__global DATA_TYPE *)(src_addr + 6 * src_stride_z + 6 * src_stride_y)); - -#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - - VEC_DATA_TYPE(DATA_TYPE, 8) - tmp = 0.0f; - - // Row 0 - VEC_DATA_TYPE(DATA_TYPE, 8) - out0 = 0.0f; - - out0.s0 = -w00 / 36.0f; - out0.s1 = (w00 - w01 + w02 - w03 + w04 - w05 + w06) / 48.f; - out0.s2 = (w00 + w01 + w02 + w03 + w04 + w05 + w06) / 48.f; - out0.s3 = (-w00 + 2.f * w01 - 4.f * w02 + 8.f * w03 - 16.f * w04 + 32.f * w05 - 64.f * w06) / 120.f; - out0.s4 = (-w00 - 2.f * w01 - 4.f * w02 - 8.f * w03 - 16.f * w04 - 32.f * w05 - 64.f * w06) / 120.f; - out0.s5 = (w00 - 3.f * w01 + 9.f * w02 - 27.f * w03 + 81.f * w04 - 243.f * w05 + 729.f * w06) / 720.f; - out0.s6 = (w00 + 3.f * w01 + 9.f * w02 + 27.f * w03 + 81.f * w04 + 243.f * w05 + 729.f * w06) / 720.f; - out0.s7 = w06; - - out0 /= (VEC_DATA_TYPE(DATA_TYPE, 8)) - 36.f; - -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - - // Row 1 - VEC_DATA_TYPE(DATA_TYPE, 8) - out1 = 0.0f; - - tmp.s0 = (w00 - w10 + w20 - w30 + w40 - w50 + w60) / 48.f; - tmp.s1 = (w01 - w11 + w21 - w31 + w41 - w51 + w61) / 48.f; - tmp.s2 = (w02 - w12 + w22 - w32 + w42 - w52 + w62) / 48.f; - tmp.s3 = (w03 - w13 + w23 - w33 + w43 - w53 + w63) / 48.f; - tmp.s4 = (w04 - w14 + w24 - w34 + w44 - w54 + w64) / 48.f; - tmp.s5 = (w05 - w15 + w25 - w35 + w45 - w55 + w65) / 48.f; - tmp.s6 = (w06 - w16 + w26 - w36 + w46 - w56 + w66) / 48.f; - - OUTPUT_ROW_2x2_7x7(out1, tmp); - - // Row 2 - VEC_DATA_TYPE(DATA_TYPE, 8) - out2 = 0.0f; - - tmp.s0 = (w00 + w10 + w20 + w30 + w40 + w50 + w60) / 48.f; - tmp.s1 = (w01 + w11 + w21 + w31 + w41 + w51 + w61) / 48.f; - tmp.s2 = (w02 + w12 + w22 + w32 + w42 + w52 + w62) / 48.f; - tmp.s3 = (w03 + w13 + w23 + w33 + w43 + w53 + w63) / 48.f; - tmp.s4 = (w04 + w14 + w24 + w34 + w44 + w54 + w64) / 48.f; - tmp.s5 = (w05 + w15 + w25 + w35 + w45 + w55 + w65) / 48.f; - tmp.s6 = (w06 + w16 + w26 + w36 + w46 + w56 + w66) / 48.f; - - OUTPUT_ROW_2x2_7x7(out2, tmp); - - // Row 3 - VEC_DATA_TYPE(DATA_TYPE, 8) - out3 = 0.0f; - - tmp.s0 = (-w00 + 2.f * w10 - 4.f * w20 + 8.f * w30 - 16.f * w40 + 32.f * w50 - 64.f * w60) / 120.f; - tmp.s1 = (-w01 + 2.f * w11 - 4.f * w21 + 8.f * w31 - 16.f * w41 + 32.f * w51 - 64.f * w61) / 120.f; - tmp.s2 = (-w02 + 2.f * w12 - 4.f * w22 + 8.f * w32 - 16.f * w42 + 32.f * w52 - 64.f * w62) / 120.f; - tmp.s3 = (-w03 + 2.f * w13 - 4.f * w23 + 8.f * w33 - 16.f * w43 + 32.f * w53 - 64.f * w63) / 120.f; - tmp.s4 = (-w04 + 2.f * w14 - 4.f * w24 + 8.f * w34 - 16.f * w44 + 32.f * w54 - 64.f * w64) / 120.f; - tmp.s5 = (-w05 + 2.f * w15 - 4.f * w25 + 8.f * w35 - 16.f * w45 + 32.f * w55 - 64.f * w65) / 120.f; - tmp.s6 = (-w06 + 2.f * w16 - 4.f * w26 + 8.f * w36 - 16.f * w46 + 32.f * w56 - 64.f * w66) / 120.f; - - OUTPUT_ROW_2x2_7x7(out3, tmp); - - // Row 4 - VEC_DATA_TYPE(DATA_TYPE, 8) - out4 = 0.0f; - - tmp.s0 = (-w00 - 2.f * w10 - 4.f * w20 - 8.f * w30 - 16.f * w40 - 32.f * w50 - 64.f * w60) / 120.f; - tmp.s1 = (-w01 - 2.f * w11 - 4.f * w21 - 8.f * w31 - 16.f * w41 - 32.f * w51 - 64.f * w61) / 120.f; - tmp.s2 = (-w02 - 2.f * w12 - 4.f * w22 - 8.f * w32 - 16.f * w42 - 32.f * w52 - 64.f * w62) / 120.f; - tmp.s3 = (-w03 - 2.f * w13 - 4.f * w23 - 8.f * w33 - 16.f * w43 - 32.f * w53 - 64.f * w63) / 120.f; - tmp.s4 = (-w04 - 2.f * w14 - 4.f * w24 - 8.f * w34 - 16.f * w44 - 32.f * w54 - 64.f * w64) / 120.f; - tmp.s5 = (-w05 - 2.f * w15 - 4.f * w25 - 8.f * w35 - 16.f * w45 - 32.f * w55 - 64.f * w65) / 120.f; - tmp.s6 = (-w06 - 2.f * w16 - 4.f * w26 - 8.f * w36 - 16.f * w46 - 32.f * w56 - 64.f * w66) / 120.f; - - OUTPUT_ROW_2x2_7x7(out4, tmp); - - // Row 5 - VEC_DATA_TYPE(DATA_TYPE, 8) - out5 = 0.0f; - - tmp.s0 = (w00 - 3.f * w10 + 9.f * w20 - 27.f * w30 + 81.f * w40 - 243.f * w50 + 729.f * w60) / 720.f; - tmp.s1 = (w01 - 3.f * w11 + 9.f * w21 - 27.f * w31 + 81.f * w41 - 243.f * w51 + 729.f * w61) / 720.f; - tmp.s2 = (w02 - 3.f * w12 + 9.f * w22 - 27.f * w32 + 81.f * w42 - 243.f * w52 + 729.f * w62) / 720.f; - tmp.s3 = (w03 - 3.f * w13 + 9.f * w23 - 27.f * w33 + 81.f * w43 - 243.f * w53 + 729.f * w63) / 720.f; - tmp.s4 = (w04 - 3.f * w14 + 9.f * w24 - 27.f * w34 + 81.f * w44 - 243.f * w54 + 729.f * w64) / 720.f; - tmp.s5 = (w05 - 3.f * w15 + 9.f * w25 - 27.f * w35 + 81.f * w45 - 243.f * w55 + 729.f * w65) / 720.f; - tmp.s6 = (w06 - 3.f * w16 + 9.f * w26 - 27.f * w36 + 81.f * w46 - 243.f * w56 + 729.f * w66) / 720.f; - - OUTPUT_ROW_2x2_7x7(out5, tmp); - - // Row 6 - VEC_DATA_TYPE(DATA_TYPE, 8) - out6 = 0.0f; - - tmp.s0 = (w00 + 3.f * w10 + 9.f * w20 + 27.f * w30 + 81.f * w40 + 243.f * w50 + 729.f * w60) / 720.f; - tmp.s1 = (w01 + 3.f * w11 + 9.f * w21 + 27.f * w31 + 81.f * w41 + 243.f * w51 + 729.f * w61) / 720.f; - tmp.s2 = (w02 + 3.f * w12 + 9.f * w22 + 27.f * w32 + 81.f * w42 + 243.f * w52 + 729.f * w62) / 720.f; - tmp.s3 = (w03 + 3.f * w13 + 9.f * w23 + 27.f * w33 + 81.f * w43 + 243.f * w53 + 729.f * w63) / 720.f; - tmp.s4 = (w04 + 3.f * w14 + 9.f * w24 + 27.f * w34 + 81.f * w44 + 243.f * w54 + 729.f * w64) / 720.f; - tmp.s5 = (w05 + 3.f * w15 + 9.f * w25 + 27.f * w35 + 81.f * w45 + 243.f * w55 + 729.f * w65) / 720.f; - tmp.s6 = (w06 + 3.f * w16 + 9.f * w26 + 27.f * w36 + 81.f * w46 + 243.f * w56 + 729.f * w66) / 720.f; - - OUTPUT_ROW_2x2_7x7(out6, tmp); - - // Row 7 - VEC_DATA_TYPE(DATA_TYPE, 8) - out7 = 0.0f; - - tmp.s0 = w60; - tmp.s1 = w61; - tmp.s2 = w62; - tmp.s3 = w63; - tmp.s4 = w64; - tmp.s5 = w65; - tmp.s6 = w66; - - OUTPUT_ROW_2x2_7x7(out7, tmp); - -#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - - 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(DATA_TYPE) + y0 * dst_stride_y; - - // Store the values across the channels - *(__global DATA_TYPE *)(dst_addr + 0 * dst_stride_z) = out0.s0; - *(__global DATA_TYPE *)(dst_addr + 1 * dst_stride_z) = out0.s1; - *(__global DATA_TYPE *)(dst_addr + 2 * dst_stride_z) = out0.s2; - *(__global DATA_TYPE *)(dst_addr + 3 * dst_stride_z) = out0.s3; - *(__global DATA_TYPE *)(dst_addr + 4 * dst_stride_z) = out0.s4; - *(__global DATA_TYPE *)(dst_addr + 5 * dst_stride_z) = out0.s5; - *(__global DATA_TYPE *)(dst_addr + 6 * dst_stride_z) = out0.s6; - *(__global DATA_TYPE *)(dst_addr + 7 * dst_stride_z) = out0.s7; - -#if !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) - *(__global DATA_TYPE *)(dst_addr + 8 * dst_stride_z) = out1.s0; - *(__global DATA_TYPE *)(dst_addr + 9 * dst_stride_z) = out1.s1; - *(__global DATA_TYPE *)(dst_addr + 10 * dst_stride_z) = out1.s2; - *(__global DATA_TYPE *)(dst_addr + 11 * dst_stride_z) = out1.s3; - *(__global DATA_TYPE *)(dst_addr + 12 * dst_stride_z) = out1.s4; - *(__global DATA_TYPE *)(dst_addr + 13 * dst_stride_z) = out1.s5; - *(__global DATA_TYPE *)(dst_addr + 14 * dst_stride_z) = out1.s6; - *(__global DATA_TYPE *)(dst_addr + 15 * dst_stride_z) = out1.s7; - *(__global DATA_TYPE *)(dst_addr + 16 * dst_stride_z) = out2.s0; - *(__global DATA_TYPE *)(dst_addr + 17 * dst_stride_z) = out2.s1; - *(__global DATA_TYPE *)(dst_addr + 18 * dst_stride_z) = out2.s2; - *(__global DATA_TYPE *)(dst_addr + 19 * dst_stride_z) = out2.s3; - *(__global DATA_TYPE *)(dst_addr + 20 * dst_stride_z) = out2.s4; - *(__global DATA_TYPE *)(dst_addr + 21 * dst_stride_z) = out2.s5; - *(__global DATA_TYPE *)(dst_addr + 22 * dst_stride_z) = out2.s6; - *(__global DATA_TYPE *)(dst_addr + 23 * dst_stride_z) = out2.s7; - *(__global DATA_TYPE *)(dst_addr + 24 * dst_stride_z) = out3.s0; - *(__global DATA_TYPE *)(dst_addr + 25 * dst_stride_z) = out3.s1; - *(__global DATA_TYPE *)(dst_addr + 26 * dst_stride_z) = out3.s2; - *(__global DATA_TYPE *)(dst_addr + 27 * dst_stride_z) = out3.s3; - *(__global DATA_TYPE *)(dst_addr + 28 * dst_stride_z) = out3.s4; - *(__global DATA_TYPE *)(dst_addr + 29 * dst_stride_z) = out3.s5; - *(__global DATA_TYPE *)(dst_addr + 30 * dst_stride_z) = out3.s6; - *(__global DATA_TYPE *)(dst_addr + 31 * dst_stride_z) = out3.s7; - *(__global DATA_TYPE *)(dst_addr + 32 * dst_stride_z) = out4.s0; - *(__global DATA_TYPE *)(dst_addr + 33 * dst_stride_z) = out4.s1; - *(__global DATA_TYPE *)(dst_addr + 34 * dst_stride_z) = out4.s2; - *(__global DATA_TYPE *)(dst_addr + 35 * dst_stride_z) = out4.s3; - *(__global DATA_TYPE *)(dst_addr + 36 * dst_stride_z) = out4.s4; - *(__global DATA_TYPE *)(dst_addr + 37 * dst_stride_z) = out4.s5; - *(__global DATA_TYPE *)(dst_addr + 38 * dst_stride_z) = out4.s6; - *(__global DATA_TYPE *)(dst_addr + 39 * dst_stride_z) = out4.s7; - *(__global DATA_TYPE *)(dst_addr + 40 * dst_stride_z) = out5.s0; - *(__global DATA_TYPE *)(dst_addr + 41 * dst_stride_z) = out5.s1; - *(__global DATA_TYPE *)(dst_addr + 42 * dst_stride_z) = out5.s2; - *(__global DATA_TYPE *)(dst_addr + 43 * dst_stride_z) = out5.s3; - *(__global DATA_TYPE *)(dst_addr + 44 * dst_stride_z) = out5.s4; - *(__global DATA_TYPE *)(dst_addr + 45 * dst_stride_z) = out5.s5; - *(__global DATA_TYPE *)(dst_addr + 46 * dst_stride_z) = out5.s6; - *(__global DATA_TYPE *)(dst_addr + 47 * dst_stride_z) = out5.s7; - *(__global DATA_TYPE *)(dst_addr + 48 * dst_stride_z) = out6.s0; - *(__global DATA_TYPE *)(dst_addr + 49 * dst_stride_z) = out6.s1; - *(__global DATA_TYPE *)(dst_addr + 50 * dst_stride_z) = out6.s2; - *(__global DATA_TYPE *)(dst_addr + 51 * dst_stride_z) = out6.s3; - *(__global DATA_TYPE *)(dst_addr + 52 * dst_stride_z) = out6.s4; - *(__global DATA_TYPE *)(dst_addr + 53 * dst_stride_z) = out6.s5; - *(__global DATA_TYPE *)(dst_addr + 54 * dst_stride_z) = out6.s6; - *(__global DATA_TYPE *)(dst_addr + 55 * dst_stride_z) = out6.s7; - *(__global DATA_TYPE *)(dst_addr + 56 * dst_stride_z) = out7.s0; - *(__global DATA_TYPE *)(dst_addr + 57 * dst_stride_z) = out7.s1; - *(__global DATA_TYPE *)(dst_addr + 58 * dst_stride_z) = out7.s2; - *(__global DATA_TYPE *)(dst_addr + 59 * dst_stride_z) = out7.s3; - *(__global DATA_TYPE *)(dst_addr + 60 * dst_stride_z) = out7.s4; - *(__global DATA_TYPE *)(dst_addr + 61 * dst_stride_z) = out7.s5; - *(__global DATA_TYPE *)(dst_addr + 62 * dst_stride_z) = out7.s6; - *(__global DATA_TYPE *)(dst_addr + 63 * dst_stride_z) = out7.s7; -#endif // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_FILTER_TRANSFORM_VERTICAL) -} -#endif // defined(SRC_DIM_Z) - -#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 - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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 - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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); -} - -/** This OpenCL kernel performs Winograd filter transform 5x1 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 - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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_5x1_nchw( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_filter_transform_4x4_5x5_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 NHWC 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 - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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_nhwc( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_filter_transform_4x4_3x3_nhwc(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 5x1 when the data layout is NHWC 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 - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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_5x1_nhwc( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_filter_transform_4x4_5x5_nhwc(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 7x1 when the data layout is NHWC 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 - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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_7x1_nhwc( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_filter_transform_2x2_7x7_nhwc(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 - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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 - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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); -} - -/** This OpenCL kernel performs Winograd filter transform 1x5 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 - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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_1x5_nchw( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_filter_transform_4x4_5x5_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 NHWC 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 - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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_nhwc( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_filter_transform_4x4_3x3_nhwc(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 1x5 when the data layout is NHWC 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 - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float/half. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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_1x5_nhwc( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_filter_transform_4x4_5x5_nhwc(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 1x7 when the data layout is NHWC 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 - * @note The data type must be passed at compile time using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types: float. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32/F16 - * @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_1x7_nhwc( - TENSOR4D_DECLARATION(src), - TENSOR3D_DECLARATION(dst)) -{ - winograd_filter_transform_2x2_7x7_nhwc(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) |