diff options
Diffstat (limited to 'src/core/CL/cl_kernels/winograd_input_transform.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/winograd_input_transform.cl | 2233 |
1 files changed, 0 insertions, 2233 deletions
diff --git a/src/core/CL/cl_kernels/winograd_input_transform.cl b/src/core/CL/cl_kernels/winograd_input_transform.cl deleted file mode 100644 index fbb5e95196..0000000000 --- a/src/core/CL/cl_kernels/winograd_input_transform.cl +++ /dev/null @@ -1,2233 +0,0 @@ -/* - * Copyright (c) 2018-2021 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" -#include "tile_helpers.h" - -#define OUTPUT_ROW_4x4_5x5(out, tmp, comm_fact) \ - ({ \ - comm_fact.s0 = tmp.s2 - 4.25f * tmp.s4 + tmp.s6; \ - comm_fact.s1 = tmp.s1 - 4.25f * tmp.s3 + tmp.s5; \ - comm_fact.s2 = 2.5f * tmp.s3; \ - comm_fact.s3 = 0.5f * tmp.s1 + 2.f * tmp.s5 - comm_fact.s2; \ - comm_fact.s4 = 0.25f * tmp.s2 - 1.25f * tmp.s4 + tmp.s6; \ - comm_fact.s5 = 4.f * tmp.s2 + tmp.s6 - 5.f * tmp.s4; \ - comm_fact.s6 = 2.f * tmp.s1 + 0.5f * tmp.s5 - comm_fact.s2; \ - \ - out.s0 = tmp.s0 - tmp.s6 + 5.25f * tmp.s4 - 5.25f * tmp.s2; \ - out.s1 = comm_fact.s0 + comm_fact.s1; \ - out.s2 = comm_fact.s0 - comm_fact.s1; \ - out.s3 = comm_fact.s3 + comm_fact.s4; \ - out.s4 = comm_fact.s4 - comm_fact.s3; \ - out.s5 = comm_fact.s5 + comm_fact.s6; \ - out.s6 = comm_fact.s5 - comm_fact.s6; \ - out.s7 = tmp.s7 - tmp.s1 + 5.25f * tmp.s3 - 5.25f * tmp.s5; \ - }) - -#define OUTPUT_ROW_2x2_7x7(out, tmp, comm_fact) \ - ({ \ - comm_fact.s0 = 36.0f * tmp.s2 - 13.0f * tmp.s4 + tmp.s6; \ - comm_fact.s1 = 36.0f * tmp.s1 - 13.0f * tmp.s3 + 1.0f * tmp.s5; \ - comm_fact.s2 = 9.0f * tmp.s2 - 10.0f * tmp.s4 + tmp.s6; \ - comm_fact.s3 = 18.0f * tmp.s1 - 20.0f * tmp.s3 + 2.0f * tmp.s5; \ - comm_fact.s4 = 4.0f * tmp.s2 - 5.0f * tmp.s4 + tmp.s6; \ - comm_fact.s5 = 12.0f * tmp.s1 - 15.0f * tmp.s3 + 3.0f * tmp.s5; \ - out.s0 = -36.0f * tmp.s0 + 49.0f * tmp.s2 + -14.0f * tmp.s4 + tmp.s6; \ - out.s1 = comm_fact.s0 - comm_fact.s1; \ - out.s2 = comm_fact.s0 + comm_fact.s1; \ - out.s3 = comm_fact.s2 - comm_fact.s3; \ - out.s4 = comm_fact.s2 + comm_fact.s3; \ - out.s5 = comm_fact.s4 - comm_fact.s5; \ - out.s6 = comm_fact.s4 + comm_fact.s5; \ - out.s7 = -36.0f * tmp.s1 + 0.0f * tmp.s2 + 49.0f * tmp.s3 - 14.0f * tmp.s5 + tmp.s7; \ - }) - -#if defined(NUM_TILES_X) && defined(PAD_LEFT) && defined(PAD_TOP) && defined(OUTPUT_TILE_W) && defined(OUTPUT_TILE_H) -/** This OpenCL kernel computes the input transform when the kernel size is 3x3/3x1 or 1x3 and the output tile is 2x2/2x1 or 1x2 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 - * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * @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 image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - */ -__kernel void winograd_input_transform_2x2_3x3_stepz1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst), - uint src_stride_w, - uint dst_stride_w) -{ - const int x = get_global_id(0); - const int y = get_global_id(1); -#if defined(SRC_DEPTH) - const int z = get_global_id(2) % SRC_DEPTH; - const int b = get_global_id(2) / SRC_DEPTH; -#else /* defined(SRC_DEPTH) */ - const int z = get_global_id(2); -#endif /* defined(SRC_DEPTH) */ - - // Compute input address -#if defined(SRC_DEPTH) - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * sizeof(DATA_TYPE) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z + b * src_stride_w; -#else /* defined(SRC_DEPTH) */ - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * sizeof(DATA_TYPE) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z; -#endif /* defined(SRC_DEPTH) */ - - src_addr = src_addr - ((int)PAD_LEFT * sizeof(DATA_TYPE)) - ((int)PAD_TOP * src_stride_y); - -#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row0 = vload4(0, (__global DATA_TYPE *)(src_addr)); -#elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row0 = (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))); -#else // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row0 = vload4(0, (__global DATA_TYPE *)(src_addr + 0 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row1 = vload4(0, (__global DATA_TYPE *)(src_addr + 1 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row2 = vload4(0, (__global DATA_TYPE *)(src_addr + 2 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row3 = vload4(0, (__global DATA_TYPE *)(src_addr + 3 * src_stride_y)); -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - VEC_DATA_TYPE(DATA_TYPE, 4) - tmp0 = in_row0; - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - tmp0 -= in_row2; -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - DATA_TYPE out00 = tmp0.s0 - tmp0.s2; - DATA_TYPE out01 = tmp0.s1 + tmp0.s2; - DATA_TYPE out02 = tmp0.s2 - tmp0.s1; - DATA_TYPE out03 = tmp0.s1 - tmp0.s3; - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - VEC_DATA_TYPE(DATA_TYPE, 4) - tmp1 = in_row1 + in_row2; - VEC_DATA_TYPE(DATA_TYPE, 4) - tmp2 = in_row2 - in_row1; - VEC_DATA_TYPE(DATA_TYPE, 4) - tmp3 = in_row1 - in_row3; - - DATA_TYPE out10 = tmp1.s0 - tmp1.s2; - DATA_TYPE out11 = tmp1.s1 + tmp1.s2; - DATA_TYPE out12 = tmp1.s2 - tmp1.s1; - DATA_TYPE out13 = tmp1.s1 - tmp1.s3; - - DATA_TYPE out20 = tmp2.s0 - tmp2.s2; - DATA_TYPE out21 = tmp2.s1 + tmp2.s2; - DATA_TYPE out22 = tmp2.s2 - tmp2.s1; - DATA_TYPE out23 = tmp2.s1 - tmp2.s3; - - DATA_TYPE out30 = tmp3.s0 - tmp3.s2; - DATA_TYPE out31 = tmp3.s1 + tmp3.s2; - DATA_TYPE out32 = tmp3.s2 - tmp3.s1; - DATA_TYPE out33 = tmp3.s1 - tmp3.s3; -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - -#if defined(SRC_DEPTH) - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * sizeof(DATA_TYPE) + (x + y * (int)NUM_TILES_X) * dst_stride_y + b * dst_stride_w; -#else /* defined(SRC_DEPTH) */ - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * sizeof(DATA_TYPE) + (x + y * (int)NUM_TILES_X) * dst_stride_y; -#endif /* defined(SRC_DEPTH) */ - - *((__global DATA_TYPE *)(dst_addr + 0 * dst_stride_z)) = out00; // in_row0.s0; out00; - *((__global DATA_TYPE *)(dst_addr + 1 * dst_stride_z)) = out01; // in_row0.s1; out01; - *((__global DATA_TYPE *)(dst_addr + 2 * dst_stride_z)) = out02; // in_row0.s2; out02; - *((__global DATA_TYPE *)(dst_addr + 3 * dst_stride_z)) = out03; // in_row0.s3; out03; - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - *((__global DATA_TYPE *)(dst_addr + 4 * dst_stride_z)) = out10; - *((__global DATA_TYPE *)(dst_addr + 5 * dst_stride_z)) = out11; - *((__global DATA_TYPE *)(dst_addr + 6 * dst_stride_z)) = out12; - *((__global DATA_TYPE *)(dst_addr + 7 * dst_stride_z)) = out13; - *((__global DATA_TYPE *)(dst_addr + 8 * dst_stride_z)) = out20; - *((__global DATA_TYPE *)(dst_addr + 9 * dst_stride_z)) = out21; - *((__global DATA_TYPE *)(dst_addr + 10 * dst_stride_z)) = out22; - *((__global DATA_TYPE *)(dst_addr + 11 * dst_stride_z)) = out23; - *((__global DATA_TYPE *)(dst_addr + 12 * dst_stride_z)) = out30; - *((__global DATA_TYPE *)(dst_addr + 13 * dst_stride_z)) = out31; - *((__global DATA_TYPE *)(dst_addr + 14 * dst_stride_z)) = out32; - *((__global DATA_TYPE *)(dst_addr + 15 * dst_stride_z)) = out33; -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) -} - -/** This OpenCL kernel computes the input transform when the kernel size is 3x3/3x1 or 1x3, the output tile is 2x2/2x1 or 1x2 and the number of channels is multiple of 2 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 - * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * @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 image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - */ -__kernel void winograd_input_transform_2x2_3x3_stepz2_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst), - uint src_stride_w, - uint dst_stride_w) -{ - const int x = get_global_id(0); - const int y = get_global_id(1); -#if defined(SRC_DEPTH) - const int z = (get_global_id(2) * 2) % SRC_DEPTH; - const int b = (get_global_id(2) * 2) / SRC_DEPTH; -#else /* defined(SRC_DEPTH) */ - const int z = get_global_id(2) * 2; -#endif /* defined(SRC_DEPTH) */ - - // Compute input address -#if defined(SRC_DEPTH) - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * sizeof(DATA_TYPE) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z + b * src_stride_w; -#else /* defined(SRC_DEPTH) */ - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * sizeof(DATA_TYPE) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z; -#endif /* defined(SRC_DEPTH) */ - src_addr = src_addr - ((int)PAD_LEFT * sizeof(DATA_TYPE)) - ((int)PAD_TOP * src_stride_y); - -#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row0 = vload4(0, (__global DATA_TYPE *)(src_addr)); -#elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row0 = (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))); -#else // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row0 = vload4(0, (__global DATA_TYPE *)(src_addr + 0 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row1 = vload4(0, (__global DATA_TYPE *)(src_addr + 1 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row2 = vload4(0, (__global DATA_TYPE *)(src_addr + 2 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row3 = vload4(0, (__global DATA_TYPE *)(src_addr + 3 * src_stride_y)); -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - src_addr += src_stride_z; -#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row4 = vload4(0, (__global DATA_TYPE *)(src_addr)); -#elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row4 = (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))); -#else // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row4 = vload4(0, (__global DATA_TYPE *)(src_addr + 0 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row5 = vload4(0, (__global DATA_TYPE *)(src_addr + 1 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row6 = vload4(0, (__global DATA_TYPE *)(src_addr + 2 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 4) - in_row7 = vload4(0, (__global DATA_TYPE *)(src_addr + 3 * src_stride_y)); -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - VEC_DATA_TYPE(DATA_TYPE, 4) - tmp0 = in_row0; - VEC_DATA_TYPE(DATA_TYPE, 4) - tmp4 = in_row4; - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - tmp0 -= in_row2; - tmp4 -= in_row6; -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - VEC_DATA_TYPE(DATA_TYPE, 2) - out00 = (VEC_DATA_TYPE(DATA_TYPE, 2))(tmp0.s0 - tmp0.s2, tmp4.s0 - tmp4.s2); - VEC_DATA_TYPE(DATA_TYPE, 2) - out01 = (VEC_DATA_TYPE(DATA_TYPE, 2))(tmp0.s1 + tmp0.s2, tmp4.s1 + tmp4.s2); - VEC_DATA_TYPE(DATA_TYPE, 2) - out02 = (VEC_DATA_TYPE(DATA_TYPE, 2))(tmp0.s2 - tmp0.s1, tmp4.s2 - tmp4.s1); - VEC_DATA_TYPE(DATA_TYPE, 2) - out03 = (VEC_DATA_TYPE(DATA_TYPE, 2))(tmp0.s1 - tmp0.s3, tmp4.s1 - tmp4.s3); - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - VEC_DATA_TYPE(DATA_TYPE, 4) - tmp1 = in_row1 + in_row2; - VEC_DATA_TYPE(DATA_TYPE, 4) - tmp2 = in_row2 - in_row1; - VEC_DATA_TYPE(DATA_TYPE, 4) - tmp3 = in_row1 - in_row3; - - VEC_DATA_TYPE(DATA_TYPE, 4) - tmp5 = in_row5 + in_row6; - VEC_DATA_TYPE(DATA_TYPE, 4) - tmp6 = in_row6 - in_row5; - VEC_DATA_TYPE(DATA_TYPE, 4) - tmp7 = in_row5 - in_row7; - - VEC_DATA_TYPE(DATA_TYPE, 2) - out10 = (VEC_DATA_TYPE(DATA_TYPE, 2))(tmp1.s0 - tmp1.s2, tmp5.s0 - tmp5.s2); - VEC_DATA_TYPE(DATA_TYPE, 2) - out11 = (VEC_DATA_TYPE(DATA_TYPE, 2))(tmp1.s1 + tmp1.s2, tmp5.s1 + tmp5.s2); - VEC_DATA_TYPE(DATA_TYPE, 2) - out12 = (VEC_DATA_TYPE(DATA_TYPE, 2))(tmp1.s2 - tmp1.s1, tmp5.s2 - tmp5.s1); - VEC_DATA_TYPE(DATA_TYPE, 2) - out13 = (VEC_DATA_TYPE(DATA_TYPE, 2))(tmp1.s1 - tmp1.s3, tmp5.s1 - tmp5.s3); - - VEC_DATA_TYPE(DATA_TYPE, 2) - out20 = (VEC_DATA_TYPE(DATA_TYPE, 2))(tmp2.s0 - tmp2.s2, tmp6.s0 - tmp6.s2); - VEC_DATA_TYPE(DATA_TYPE, 2) - out21 = (VEC_DATA_TYPE(DATA_TYPE, 2))(tmp2.s1 + tmp2.s2, tmp6.s1 + tmp6.s2); - VEC_DATA_TYPE(DATA_TYPE, 2) - out22 = (VEC_DATA_TYPE(DATA_TYPE, 2))(tmp2.s2 - tmp2.s1, tmp6.s2 - tmp6.s1); - VEC_DATA_TYPE(DATA_TYPE, 2) - out23 = (VEC_DATA_TYPE(DATA_TYPE, 2))(tmp2.s1 - tmp2.s3, tmp6.s1 - tmp6.s3); - - VEC_DATA_TYPE(DATA_TYPE, 2) - out30 = (VEC_DATA_TYPE(DATA_TYPE, 2))(tmp3.s0 - tmp3.s2, tmp7.s0 - tmp7.s2); - VEC_DATA_TYPE(DATA_TYPE, 2) - out31 = (VEC_DATA_TYPE(DATA_TYPE, 2))(tmp3.s1 + tmp3.s2, tmp7.s1 + tmp7.s2); - VEC_DATA_TYPE(DATA_TYPE, 2) - out32 = (VEC_DATA_TYPE(DATA_TYPE, 2))(tmp3.s2 - tmp3.s1, tmp7.s2 - tmp7.s1); - VEC_DATA_TYPE(DATA_TYPE, 2) - out33 = (VEC_DATA_TYPE(DATA_TYPE, 2))(tmp3.s1 - tmp3.s3, tmp7.s1 - tmp7.s3); -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - -#if defined(SRC_DEPTH) - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * sizeof(DATA_TYPE) + (x + y * (int)NUM_TILES_X) * dst_stride_y + b * dst_stride_w; -#else /* defined(SRC_DEPTH) */ - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * sizeof(DATA_TYPE) + (x + y * (int)NUM_TILES_X) * dst_stride_y; -#endif /* defined(SRC_DEPTH) */ - - vstore2(out00, 0, (__global DATA_TYPE *)(dst_addr + 0 * dst_stride_z)); - vstore2(out01, 0, (__global DATA_TYPE *)(dst_addr + 1 * dst_stride_z)); - vstore2(out02, 0, (__global DATA_TYPE *)(dst_addr + 2 * dst_stride_z)); - vstore2(out03, 0, (__global DATA_TYPE *)(dst_addr + 3 * dst_stride_z)); - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - vstore2(out10, 0, (__global DATA_TYPE *)(dst_addr + 4 * dst_stride_z)); - vstore2(out11, 0, (__global DATA_TYPE *)(dst_addr + 5 * dst_stride_z)); - vstore2(out12, 0, (__global DATA_TYPE *)(dst_addr + 6 * dst_stride_z)); - vstore2(out13, 0, (__global DATA_TYPE *)(dst_addr + 7 * dst_stride_z)); - vstore2(out20, 0, (__global DATA_TYPE *)(dst_addr + 8 * dst_stride_z)); - vstore2(out21, 0, (__global DATA_TYPE *)(dst_addr + 9 * dst_stride_z)); - vstore2(out22, 0, (__global DATA_TYPE *)(dst_addr + 10 * dst_stride_z)); - vstore2(out23, 0, (__global DATA_TYPE *)(dst_addr + 11 * dst_stride_z)); - vstore2(out30, 0, (__global DATA_TYPE *)(dst_addr + 12 * dst_stride_z)); - vstore2(out31, 0, (__global DATA_TYPE *)(dst_addr + 13 * dst_stride_z)); - vstore2(out32, 0, (__global DATA_TYPE *)(dst_addr + 14 * dst_stride_z)); - vstore2(out33, 0, (__global DATA_TYPE *)(dst_addr + 15 * dst_stride_z)); -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) -} - -/** This OpenCL kernel computes the input transform when the output tile is 4x4/4x1 or 1x4, the filter size 3x3/3x1 or 1x3 and the data layout is NCHW - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 - * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * @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 image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - */ -__kernel void winograd_input_transform_4x4_3x3_stepz1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst), - uint src_stride_w, - uint dst_stride_w) -{ - const int x = get_global_id(0); - const int y = get_global_id(1); -#if defined(SRC_DEPTH) - const int z = get_global_id(2) % SRC_DEPTH; - const int b = get_global_id(2) / SRC_DEPTH; -#else /* defined(SRC_DEPTH) */ - const int z = get_global_id(2); -#endif /* defined(SRC_DEPTH) */ - - // Compute input address -#if defined(SRC_DEPTH) - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * sizeof(DATA_TYPE) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z + b * src_stride_w; -#else /* defined(SRC_DEPTH) */ - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * sizeof(DATA_TYPE) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z; -#endif /* defined(SRC_DEPTH) */ - - src_addr = src_addr - ((int)PAD_LEFT * sizeof(DATA_TYPE)) - ((int)PAD_TOP * src_stride_y); - -#if defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - // Row0 - VEC_DATA_TYPE(DATA_TYPE, 4) - d00 = (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))); - VEC_DATA_TYPE(DATA_TYPE, 2) - d01 = (VEC_DATA_TYPE(DATA_TYPE, 2))(*((__global DATA_TYPE *)(src_addr + 4 * src_stride_y)), - *((__global DATA_TYPE *)(src_addr + 5 * src_stride_y))); -#else // defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - // Row0 - VEC_DATA_TYPE(DATA_TYPE, 4) - d00 = vload4(0, (__global DATA_TYPE *)(src_addr + 0 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 2) - d01 = vload2(2, (__global DATA_TYPE *)(src_addr + 0 * src_stride_y)); -#endif // defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - DATA_TYPE out0 = 0.0f; - DATA_TYPE out1 = 0.0f; - DATA_TYPE out2 = 0.0f; - DATA_TYPE out3 = 0.0f; - DATA_TYPE out4 = 0.0f; - DATA_TYPE out5 = 0.0f; - - // Channels [0, 5]: [out00, out01, out02, out03, out04, out05] - out0 += 16.0f * d00.s0 - 20.0f * d00.s2 + 4.0f * d01.s0; - out1 += -16.0f * d00.s1 - 16.0f * d00.s2 + 4.0f * d00.s3 + 4.0f * d01.s0; - out2 += 16.0f * d00.s1 - 16.0f * d00.s2 - 4.0f * d00.s3 + 4.0f * d01.s0; - out3 += -8.0f * d00.s1 - 4.0f * d00.s2 + 8.0f * d00.s3 + 4.0f * d01.s0; - out4 += 8.0f * d00.s1 - 4.0f * d00.s2 - 8.0f * d00.s3 + 4.0f * d01.s0; - out5 += 16.0f * d00.s1 - 20.0f * d00.s3 + 4.0f * d01.s1; - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - // Row4 - VEC_DATA_TYPE(DATA_TYPE, 4) - d40 = vload4(0, (__global DATA_TYPE *)(src_addr + 4 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 2) - d41 = vload2(2, (__global DATA_TYPE *)(src_addr + 4 * src_stride_y)); - - // k0, k1, k2, k3, k4, k5 are common terms for row0, row1, row2, row3 and row4 - DATA_TYPE k0 = d41.s0; - DATA_TYPE k1 = d41.s0; - DATA_TYPE k2 = d41.s0; - DATA_TYPE k3 = d41.s0; - DATA_TYPE k4 = d41.s0; - DATA_TYPE k5 = 0.0f; - - k0 += 4.0f * d40.s0 - 5.0f * d40.s2; - k1 += -4.0f * d40.s1 - 4.0f * d40.s2 + d40.s3; - k2 += 4.0f * d40.s1 - 4.0f * d40.s2 - d40.s3; - k3 += -2.0f * d40.s1 + 2.0f * d40.s3 - d40.s2; - k4 += 2.0f * d40.s1 - 2.0f * d40.s3 - d40.s2; - k5 += 4.0f * d40.s1 - 5.0f * d40.s3 + d41.s1; - - out0 += k0; - out1 += k1; - out2 += k2; - out3 += k3; - out4 += k4; - out5 += k5; - - // Row2 - VEC_DATA_TYPE(DATA_TYPE, 4) - d20 = vload4(0, (__global DATA_TYPE *)(src_addr + 2 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 2) - d21 = vload2(2, (__global DATA_TYPE *)(src_addr + 2 * src_stride_y)); - - out0 += -20.0f * d20.s0 + 25.0f * d20.s2 - 5.0f * d21.s0; - out1 += +20.0f * d20.s1 + 20.0f * d20.s2 - 5.0f * d20.s3 - 5.0f * d21.s0; - out2 += -20.0f * d20.s1 + 20.0f * d20.s2 + 5.0f * d20.s3 - 5.0f * d21.s0; - out3 += +10.0f * d20.s1 + 5.0f * d20.s2 - 10.0f * d20.s3 - 5.0f * d21.s0; - out4 += -10.0f * d20.s1 + 5.0f * d20.s2 + 10.0f * d20.s3 - 5.0f * d21.s0; - out5 += -20.0f * d20.s1 + 25.0f * d20.s3 - 5.0f * d21.s1; -#endif // #if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - // Compute destination address -#if defined(SRC_DEPTH) - __global DATA_TYPE *dst_addr = (__global DATA_TYPE *)(dst_ptr + dst_offset_first_element_in_bytes + z * sizeof(DATA_TYPE) + (x + y * (int)NUM_TILES_X) * dst_stride_y + b * dst_stride_w); -#else /* defined(SRC_DEPTH) */ - __global DATA_TYPE *dst_addr = (__global DATA_TYPE *)(dst_ptr + dst_offset_first_element_in_bytes + z * sizeof(DATA_TYPE) + (x + y * (int)NUM_TILES_X) * dst_stride_y); -#endif /* defined(SRC_DEPTH) */ - - uint dst_plane_stride = dst_stride_z / sizeof(DATA_TYPE); - - *(dst_addr) = out0; - dst_addr += dst_plane_stride; - *(dst_addr) = out1; - dst_addr += dst_plane_stride; - *(dst_addr) = out2; - dst_addr += dst_plane_stride; - *(dst_addr) = out3; - dst_addr += dst_plane_stride; - *(dst_addr) = out4; - dst_addr += dst_plane_stride; - *(dst_addr) = out5; - dst_addr += dst_plane_stride; - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - DATA_TYPE out6 = k0; - DATA_TYPE out7 = k1; - DATA_TYPE out8 = k2; - DATA_TYPE out9 = k3; - DATA_TYPE out10 = k4; - DATA_TYPE out11 = k5; - DATA_TYPE out12 = k0; - DATA_TYPE out13 = k1; - DATA_TYPE out14 = k2; - DATA_TYPE out15 = k3; - DATA_TYPE out16 = k4; - DATA_TYPE out17 = k5; - DATA_TYPE out18 = k0; - DATA_TYPE out19 = k1; - DATA_TYPE out20 = k2; - DATA_TYPE out21 = k3; - DATA_TYPE out22 = k4; - DATA_TYPE out23 = k5; - DATA_TYPE out24 = k0; - DATA_TYPE out25 = k1; - DATA_TYPE out26 = k2; - DATA_TYPE out27 = k3; - DATA_TYPE out28 = k4; - DATA_TYPE out29 = k5; - - // Row1 - VEC_DATA_TYPE(DATA_TYPE, 4) - d10 = vload4(0, (__global DATA_TYPE *)(src_addr + 1 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 2) - d11 = vload2(2, (__global DATA_TYPE *)(src_addr + 1 * src_stride_y)); - - // Row3 - VEC_DATA_TYPE(DATA_TYPE, 4) - d30 = vload4(0, (__global DATA_TYPE *)(src_addr + 3 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 2) - d31 = vload2(2, (__global DATA_TYPE *)(src_addr + 3 * src_stride_y)); - - // Compute common parts for the channels between [6, 29] - // Channels [6, 11]: [out10, out11, out12, out13, out14, out15] - // Channels [12, 17]: [out20, out21, out22, out23, out24, out25] - DATA_TYPE part0 = -16.0f * d20.s0 + 20.0f * d20.s2 - 4.0f * d21.s0; - DATA_TYPE part1 = 16.0f * d10.s0 - 20.0f * d10.s2 + 4.0f * d11.s0 - 4.0f * d30.s0 + 5.0f * d30.s2 - d31.s0; - DATA_TYPE part2 = 16.0f * d20.s2 - 4.0f * d21.s0; - DATA_TYPE part3 = 16.0f * d20.s1 - 4.0f * d20.s3; - DATA_TYPE part4 = 16.0f * d10.s2 - 4.0f * d11.s0 - 4.0f * d30.s2 + d31.s0; - DATA_TYPE part5 = 16.0f * d10.s1 - 4.0f * d10.s3 - 4.0f * d30.s1 + d30.s3; - DATA_TYPE part6 = 4.0f * d20.s2 - 4.0f * d21.s0; - DATA_TYPE part7 = 8.0f * d10.s1 - 8.0f * d10.s3 - 2.0f * d30.s1 + 2.0f * d30.s3; - DATA_TYPE part8 = 4.0f * d10.s2 - 4.0f * d11.s0 - d30.s2 + d31.s0; - DATA_TYPE part9 = 8.0f * d20.s1 - 8.0f * d20.s3; - DATA_TYPE part10 = -16.0f * d20.s1 + 20.0f * d20.s3 - 4.0f * d21.s1; - DATA_TYPE part11 = -16.0f * d10.s1 + 20.0f * d10.s3 - 4.0f * d11.s1 + 4.0f * d30.s1 - 5.0f * d30.s3 + d31.s1; - - // Channels [18, 23]: [out30, out31, out32, out33, out34, out35] - // Channels [24, 29]: [out40, out41, out42, out43, out44, out45] - DATA_TYPE part12 = 8.0f * d10.s0 - 10.0f * d10.s2 + 2.0f * d11.s0 - 8.0f * d30.s0 + 10.0f * d30.s2 - 2.0f * d31.s0; - DATA_TYPE part13 = part0 * 0.25f; // -4.0f * d20.s0 + 5.0f * d20.s2 - d21.s0 - DATA_TYPE part14 = part2 * 0.25f; // 4.0f * d20.s2 - d21.s0 - DATA_TYPE part15 = 8.0f * d10.s1 - 2.0f * d10.s3 - 8.0f * d30.s1 + 2.0f * d30.s3; - DATA_TYPE part16 = 8.0f * d10.s2 - 2.0f * d11.s0 - 8.0f * d30.s2 + 2.0f * d31.s0; - DATA_TYPE part17 = part3 * 0.25f; // 4.0f * d20.s1 - d20.s3 - DATA_TYPE part18 = part6 * 0.25f; // d20.s2 - d21.s0 - DATA_TYPE part19 = 4.0f * d10.s1 - 4.0f * d10.s3 - 4.0f * d30.s1 + 4.0f * d30.s3; - DATA_TYPE part20 = 2.0f * d10.s2 - 2.0f * d11.s0 - 2.0f * d30.s2 + 2.0f * d31.s0; - DATA_TYPE part21 = part9 * 0.25f; // 2.0f * (d20.s1 - d20.s3) - DATA_TYPE part22 = part10 * 0.25f; // - 4.0f * d20.s1 + 5.0f * d20.s3 - d21.s1 - DATA_TYPE part23 = part11 * 0.5f + 6.0f * d30.s1 - 7.5f * d30.s3 + 1.5f * d31.s1; // - 8.0f * d10.s1 + 10.0f * d10.s3 - 2.0f * d11.s1 + 8.0f * d30.s1 - 10.0f * d30.s3 + 2.0f * d31.s1; - - out6 += part0 - part1; - out12 += part0 + part1; - out7 += part2 + part3 + part4 + part5; - out8 += part2 - part3 + part4 - part5; - out13 += part2 + part3 - part4 - part5; - out14 += part2 - part3 - part4 + part5; - out9 += part6 + part7 + part8 + part9; - out10 += part6 - part7 + part8 - part9; - out15 += part6 - part7 - part8 + part9; - out16 += part6 + part7 - part8 - part9; - out11 += part10 + part11; - out17 += part10 - part11; - - out18 += part13 - part12; - out24 += part13 + part12; - out19 += part14 + part15 + part16 + part17; - out20 += part14 - part15 + part16 - part17; - out25 += part14 - part15 - part16 + part17; - out26 += part14 + part15 - part16 - part17; - out21 += part18 + part19 + part20 + part21; - out22 += part18 - part19 + part20 - part21; - out27 += part18 - part19 - part20 + part21; - out28 += part18 + part19 - part20 - part21; - out23 += part22 + part23; - out29 += part22 - part23; - - *(dst_addr) = out6; - dst_addr += dst_plane_stride; - *(dst_addr) = out7; - dst_addr += dst_plane_stride; - *(dst_addr) = out8; - dst_addr += dst_plane_stride; - *(dst_addr) = out9; - dst_addr += dst_plane_stride; - *(dst_addr) = out10; - dst_addr += dst_plane_stride; - *(dst_addr) = out11; - dst_addr += dst_plane_stride; - *(dst_addr) = out12; - dst_addr += dst_plane_stride; - *(dst_addr) = out13; - dst_addr += dst_plane_stride; - *(dst_addr) = out14; - dst_addr += dst_plane_stride; - *(dst_addr) = out15; - dst_addr += dst_plane_stride; - *(dst_addr) = out16; - dst_addr += dst_plane_stride; - *(dst_addr) = out17; - dst_addr += dst_plane_stride; - - *(dst_addr) = out18; - dst_addr += dst_plane_stride; - *(dst_addr) = out19; - dst_addr += dst_plane_stride; - *(dst_addr) = out20; - dst_addr += dst_plane_stride; - *(dst_addr) = out21; - dst_addr += dst_plane_stride; - *(dst_addr) = out22; - dst_addr += dst_plane_stride; - *(dst_addr) = out23; - dst_addr += dst_plane_stride; - *(dst_addr) = out24; - dst_addr += dst_plane_stride; - *(dst_addr) = out25; - dst_addr += dst_plane_stride; - *(dst_addr) = out26; - dst_addr += dst_plane_stride; - *(dst_addr) = out27; - dst_addr += dst_plane_stride; - *(dst_addr) = out28; - dst_addr += dst_plane_stride; - *(dst_addr) = out29; - dst_addr += dst_plane_stride; - - // Row5 - VEC_DATA_TYPE(DATA_TYPE, 4) - d50 = vload4(0, (__global DATA_TYPE *)(src_addr + 5 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, 2) - d51 = vload2(2, (__global DATA_TYPE *)(src_addr + 5 * src_stride_y)); - - // Channels [30, 35] - out0 = 16.0f * d10.s0 - 20.0f * d10.s2 - 20.0f * d30.s0 + 25.0f * d30.s2 + 4.0f * d50.s0 - 5.0f * d50.s2 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0; - out1 = -16.0f * d10.s1 - 16.0f * d10.s2 + 4.0f * d10.s3 + 20.0f * d30.s1 + 20.0f * d30.s2 - 5.0f * d30.s3 - 4.0f * d50.s1 - 4.0f * d50.s2 + d50.s3 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0; - out2 = 16.0f * d10.s1 - 16.0f * d10.s2 - 4.0f * d10.s3 - 20.0f * d30.s1 + 20.0f * d30.s2 + 5.0f * d30.s3 + 4.0f * d50.s1 - 4.0f * d50.s2 - d50.s3 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0; - out3 = -8.0f * d10.s1 - 4.0f * d10.s2 + 8.0f * d10.s3 + 10.0f * d30.s1 - 10.0f * d30.s3 + 5.0f * d30.s2 - 2.0f * d50.s1 + 2.0f * d50.s3 - d50.s2 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0; - out4 = 8.0f * d10.s1 - 4.0f * d10.s2 - 8.0f * d10.s3 - 10.0f * d30.s1 + 5.0f * d30.s2 + 10.0f * d30.s3 + 2.0f * d50.s1 - 2.0f * d50.s3 - d50.s2 + d51.s0 + 4.0f * d11.s0 - 5.0f * d31.s0; - out5 = 16.0f * d10.s1 - 20.0f * d10.s3 + 4.0f * d11.s1 - 20.0f * d30.s1 + 25.0f * d30.s3 - 5.0f * d31.s1 + 4.0f * d50.s1 - 5.0f * d50.s3 + d51.s1; - - *(dst_addr) = out0; - dst_addr += dst_plane_stride; - *(dst_addr) = out1; - dst_addr += dst_plane_stride; - *(dst_addr) = out2; - dst_addr += dst_plane_stride; - *(dst_addr) = out3; - dst_addr += dst_plane_stride; - *(dst_addr) = out4; - dst_addr += dst_plane_stride; - *(dst_addr) = out5; - dst_addr += dst_plane_stride; -#endif // #if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) -} - -/** This OpenCL kernel computes the input transform when the kernel size is 5x5/5x1 or 1x5 and the output tile is 4x4/4x1 or 1x4 when the data layout is NCHW - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 - * @note If this kernel is used to perform Winograd input transform 5x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd input transform 1x5, -DWINOGRAD_INPUT_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 image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - */ -__kernel void winograd_input_transform_4x4_5x5_stepz1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst), - uint src_stride_w, - uint dst_stride_w) -{ - const int x = get_global_id(0); - const int y = get_global_id(1); -#if defined(SRC_DEPTH) - const int z = get_global_id(2) % SRC_DEPTH; - const int b = get_global_id(2) / SRC_DEPTH; -#else /* defined(SRC_DEPTH) */ - const int z = get_global_id(2); -#endif /* defined(SRC_DEPTH) */ - - // Compute input address -#if defined(SRC_DEPTH) - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * sizeof(DATA_TYPE) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z + b * src_stride_w; -#else /* defined(SRC_DEPTH) */ - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * OUTPUT_TILE_W * sizeof(DATA_TYPE) + y * OUTPUT_TILE_H * src_stride_y + z * src_stride_z; -#endif /* defined(SRC_DEPTH) */ - src_addr = src_addr - ((int)PAD_LEFT * sizeof(DATA_TYPE)) - ((int)PAD_TOP * src_stride_y); - - // Load input tile -#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - const VEC_DATA_TYPE(DATA_TYPE, 8) in_row0 = vload8(0, (__global DATA_TYPE *)(src_addr)); -#elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // !defined(WINOGRAD_FILTER_TRANSFORM_HORIZONTAL) - const VEC_DATA_TYPE(DATA_TYPE, 8) in_row0 = (VEC_DATA_TYPE(DATA_TYPE, 8))(*((__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)), - *((__global DATA_TYPE *)(src_addr + 4 * src_stride_y)), - *((__global DATA_TYPE *)(src_addr + 5 * src_stride_y)), - *((__global DATA_TYPE *)(src_addr + 6 * src_stride_y)), - *((__global DATA_TYPE *)(src_addr + 7 * src_stride_y))); -#else // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - const VEC_DATA_TYPE(DATA_TYPE, 8) in_row0 = vload8(0, (__global DATA_TYPE *)(src_addr + 0 * src_stride_y)); - const VEC_DATA_TYPE(DATA_TYPE, 8) in_row1 = vload8(0, (__global DATA_TYPE *)(src_addr + 1 * src_stride_y)); - const VEC_DATA_TYPE(DATA_TYPE, 8) in_row2 = vload8(0, (__global DATA_TYPE *)(src_addr + 2 * src_stride_y)); - const VEC_DATA_TYPE(DATA_TYPE, 8) in_row3 = vload8(0, (__global DATA_TYPE *)(src_addr + 3 * src_stride_y)); - const VEC_DATA_TYPE(DATA_TYPE, 8) in_row4 = vload8(0, (__global DATA_TYPE *)(src_addr + 4 * src_stride_y)); - const VEC_DATA_TYPE(DATA_TYPE, 8) in_row5 = vload8(0, (__global DATA_TYPE *)(src_addr + 5 * src_stride_y)); - const VEC_DATA_TYPE(DATA_TYPE, 8) in_row6 = vload8(0, (__global DATA_TYPE *)(src_addr + 6 * src_stride_y)); - const VEC_DATA_TYPE(DATA_TYPE, 8) in_row7 = vload8(0, (__global DATA_TYPE *)(src_addr + 7 * src_stride_y)); -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - // Calculate common factors for intermediate tensor - VEC_DATA_TYPE(DATA_TYPE, 8) - tmp0 = in_row0; - VEC_DATA_TYPE(DATA_TYPE, 8) - comm_fact0 = 0.0f; - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - comm_fact0 += in_row2 + in_row6 - (DATA_TYPE)4.25f * in_row4; - tmp0 += -in_row6 + (DATA_TYPE)5.25f * in_row4 - (DATA_TYPE)5.25f * in_row2; - - VEC_DATA_TYPE(DATA_TYPE, 8) - comm_fact1 = in_row1 + in_row5 - (DATA_TYPE)4.25f * in_row3; - VEC_DATA_TYPE(DATA_TYPE, 8) - comm_fact2 = (DATA_TYPE)0.25f * in_row2 - (DATA_TYPE)1.25f * in_row4 + in_row6; - - const VEC_DATA_TYPE(DATA_TYPE, 8) tmp1 = comm_fact0 + comm_fact1; - const VEC_DATA_TYPE(DATA_TYPE, 8) tmp2 = comm_fact0 - comm_fact1; - - comm_fact0 = (DATA_TYPE)2.5f * in_row3; - comm_fact1 = (DATA_TYPE)0.5f * in_row1 - comm_fact0 + (DATA_TYPE)2.0f * in_row5; - - const VEC_DATA_TYPE(DATA_TYPE, 8) tmp3 = comm_fact1 + comm_fact2; - const VEC_DATA_TYPE(DATA_TYPE, 8) tmp4 = comm_fact2 - comm_fact1; - - comm_fact1 = (DATA_TYPE)2.0f * in_row1 - comm_fact0 + (DATA_TYPE)0.5f * in_row5; - comm_fact2 = (DATA_TYPE)4.0f * in_row2 - (DATA_TYPE)5.0f * in_row4 + in_row6; - - const VEC_DATA_TYPE(DATA_TYPE, 8) tmp5 = comm_fact1 + comm_fact2; - const VEC_DATA_TYPE(DATA_TYPE, 8) tmp6 = comm_fact2 - comm_fact1; - const VEC_DATA_TYPE(DATA_TYPE, 8) tmp7 = in_row7 - in_row1 + (DATA_TYPE)5.25f * in_row3 - (DATA_TYPE)5.25f * in_row5; -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - // Calculate output rows (reuse comm_fact0 vector) - VEC_DATA_TYPE(DATA_TYPE, 8) - out0; - - OUTPUT_ROW_4x4_5x5(out0, tmp0, comm_fact0); - -#if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - VEC_DATA_TYPE(DATA_TYPE, 8) - out1, out2, out3, out4, out5, out6, out7; - - OUTPUT_ROW_4x4_5x5(out1, tmp1, comm_fact0); - OUTPUT_ROW_4x4_5x5(out2, tmp2, comm_fact0); - OUTPUT_ROW_4x4_5x5(out3, tmp3, comm_fact0); - OUTPUT_ROW_4x4_5x5(out4, tmp4, comm_fact0); - OUTPUT_ROW_4x4_5x5(out5, tmp5, comm_fact0); - OUTPUT_ROW_4x4_5x5(out6, tmp6, comm_fact0); - OUTPUT_ROW_4x4_5x5(out7, tmp7, comm_fact0); -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - // Store values across the channels -#if defined(SRC_DEPTH) - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * sizeof(DATA_TYPE) + (x + y * (int)NUM_TILES_X) * dst_stride_y + b * dst_stride_w; -#else /* defined(SRC_DEPTH) */ - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * sizeof(DATA_TYPE) + (x + y * (int)NUM_TILES_X) * dst_stride_y; -#endif /* defined(SRC_DEPTH) */ - - *((__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_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_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_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) -} - -#if defined(NHWC) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(NUM_TILES_X) && defined(NUM_TILES_Y) -//! @cond Doxygen_Suppress -/** This OpenCL kernel computes the input transform when the output tile is 4x4, 4x1 or 1x4, the filter size 3x3, 3x1 or 1x3 and the data layout is NHWC - * - * @note Data layout supported: NHWC - * @note Data type supported: F32/F16 - * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=half) - * @note The number of tiles in the X and Y axes must be passed at compile time using -DNUM_TILES_X and -DNUM_TILES_Y (i.e.-DNUM_TILES_X=5, -DNUM_TILES_Y=3). - * @note The convolution padding (left and top) must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (e.g. -DPAD_LEFT=2, -DPAD_TOP=2) - * @note The spatial dimensions of the source tensor must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT (e.g. -DSRC_WIDTH=96, -DSRC_HEIGHT=64) - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 - * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along 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] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -//! @endcond -__kernel void winograd_input_transform_4x4_3x3_stepz1_nhwc( - TENSOR4D(src, BUFFER), - TENSOR4D(dst, BUFFER)) -{ - const int cout = GET_SPATIAL_IDX(0, 1, 0); // OFM - const int mout = GET_SPATIAL_IDX(1, 1, 0); // NUM_TILES_X x NUM_TILES_Y - const int bout = GET_SPATIAL_IDX(2, 1, 0); // BATCH SIZE IDX - - // All the tensor dimensions are passed at compile time. - // In case of dynamic tensor support, the following dimensions should be passed as function argument. -#define _ISRC_WIDTH SRC_WIDTH -#define _ISRC_HEIGHT SRC_HEIGHT -#define _INUM_TILES_X NUM_TILES_X -#define _INUM_TILES_Y NUM_TILES_Y - - int x = (mout % _INUM_TILES_X) * OUTPUT_TILE_W; - int y = (mout / _INUM_TILES_X) * OUTPUT_TILE_H; - x -= PAD_LEFT; - y -= PAD_TOP; - -#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - TILE(DATA_TYPE, 6, 1, in); - TILE(DATA_TYPE, 6, 1, out); - - // Initialize the input tile - LOOP_UNROLLING(int, i, 0, 1, 6, - { - in[i].v = 0; - }) - -#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - T_LOAD_NHWC(DATA_TYPE, 1, 6, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in); -#else // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - T_LOAD_NHWC(DATA_TYPE, 6, 1, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in); -#endif // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - - TILE(DATA_TYPE, 6, 1, com); - - LOOP_UNROLLING(int, i, 0, 1, 6, - { - in[i].v *= 4.0f; - }) - - com[0].v = in[2].v - 4.f * in[0].v; - com[1].v = in[3].v - 4.f * in[1].v; - com[2].v = in[4].v - 4.f * in[2].v; - com[3].v = in[5].v - 4.f * in[3].v; - com[4].v = in[3].v - in[1].v; - com[4].v = com[4].v + com[4].v; - com[5].v = in[4].v - in[2].v; - - out[0].v = com[2].v - com[0].v; - out[1].v = com[2].v + com[1].v; - out[2].v = com[2].v - com[1].v; - out[3].v = com[5].v + com[4].v; - out[4].v = com[5].v - com[4].v; - out[5].v = com[3].v - com[1].v; - - TILE(uint, 6, 1, dst_indirect_y); - - LOOP_UNROLLING(int, i, 0, 1, 6, - { - dst_indirect_y[i].v = mout + i * _INUM_TILES_X * _INUM_TILES_Y; - dst_indirect_y[i].v += bout * _INUM_TILES_X * _INUM_TILES_Y * 6; - }) - - T_STORE_INDIRECT_WIDTH_SELECT(DATA_TYPE, 6, 1, 0, BUFFER, dst, cout, dst_stride_y, false, out, dst_indirect_y); - -#else // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - TILE(DATA_TYPE, 36, 1, in); - - // Initialize the input tile - LOOP_UNROLLING(int, i, 0, 1, 36, - { - in[i].v = 0; - }) - - // Load the tile from a NHWC tensor - T_LOAD_NHWC(DATA_TYPE, 6, 6, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in); - - TILE(DATA_TYPE, 6, 1, com); - TILE(DATA_TYPE, 36, 1, tmp); - - LOOP_UNROLLING(int, i, 0, 1, 6, - { - com[0].v = in[2 * 6 + i].v - (DATA_TYPE)4.0f * in[0 * 6 + i].v; - com[1].v = in[3 * 6 + i].v - (DATA_TYPE)4.0f * in[1 * 6 + i].v; - com[2].v = in[4 * 6 + i].v - (DATA_TYPE)4.0f * in[2 * 6 + i].v; - com[3].v = in[5 * 6 + i].v - (DATA_TYPE)4.0f * in[3 * 6 + i].v; - com[4].v = in[3 * 6 + i].v - in[1 * 6 + i].v; - com[4].v = com[4].v + com[4].v; - com[5].v = in[4 * 6 + i].v - in[2 * 6 + i].v; - tmp[i + 0 * 6].v = com[2].v - com[0].v; - tmp[i + 1 * 6].v = com[2].v + com[1].v; - tmp[i + 2 * 6].v = com[2].v - com[1].v; - tmp[i + 3 * 6].v = com[5].v + com[4].v; - tmp[i + 4 * 6].v = com[5].v - com[4].v; - tmp[i + 5 * 6].v = com[3].v - com[1].v; - }) - - TILE(DATA_TYPE, 36, 1, out); - - LOOP_UNROLLING(int, i, 0, 1, 6, - { - com[0].v = tmp[i * 6 + 2].v - 4.f * tmp[i * 6 + 0].v; - com[1].v = tmp[i * 6 + 3].v - 4.f * tmp[i * 6 + 1].v; - com[2].v = tmp[i * 6 + 4].v - 4.f * tmp[i * 6 + 2].v; - com[3].v = tmp[i * 6 + 5].v - 4.f * tmp[i * 6 + 3].v; - com[4].v = tmp[i * 6 + 3].v - tmp[i * 6 + 1].v; - com[4].v = com[4].v + com[4].v; - com[5].v = tmp[i * 6 + 4].v - tmp[i * 6 + 2].v; - out[i * 6 + 0].v = com[2].v - com[0].v; - out[i * 6 + 1].v = com[2].v + com[1].v; - out[i * 6 + 2].v = com[2].v - com[1].v; - out[i * 6 + 3].v = com[5].v + com[4].v; - out[i * 6 + 4].v = com[5].v - com[4].v; - out[i * 6 + 5].v = com[3].v - com[1].v; - }) - - // Compute destination address - TILE(uint, 36, 1, dst_indirect_y); - - LOOP_UNROLLING(int, i, 0, 1, 36, - { - dst_indirect_y[i].v = mout + i * _INUM_TILES_X * _INUM_TILES_Y; - dst_indirect_y[i].v += bout * _INUM_TILES_X * _INUM_TILES_Y * 36; - }) - - T_STORE_INDIRECT_WIDTH_SELECT(DATA_TYPE, 36, 1, 0, BUFFER, dst, cout, dst_stride_y, false, out, dst_indirect_y); -#endif // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) -} - -//! @cond Doxygen_Suppress -/** This OpenCL kernel computes the input transform when the kernel size is 5x5/5x1 or 1x5 and the output tile is 4x4/4x1 or 1x4 when the data layout is NHWC - * - * @note Data layout supported: NHWC - * @note Data type supported: F32/F16 - * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=half) - * @note The number of tiles in the X and Y axes must be passed at compile time using -DNUM_TILES_X and -DNUM_TILES_Y (i.e.-DNUM_TILES_X=5, -DNUM_TILES_Y=3). - * @note The convolution padding (left and top) must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (e.g. -DPAD_LEFT=2, -DPAD_TOP=2) - * @note The spatial dimensions of the source tensor must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT (e.g. -DSRC_WIDTH=96, -DSRC_HEIGHT=64) - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 - * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along 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] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -//! @endcond -__kernel void winograd_input_transform_4x4_5x5_stepz1_nhwc( - TENSOR4D(src, BUFFER), - TENSOR4D(dst, BUFFER)) -{ - const int cout = GET_SPATIAL_IDX(0, 1, 0); // OFM - const int mout = GET_SPATIAL_IDX(1, 1, 0); // NUM_TILES_X x NUM_TILES_Y - const int bout = GET_SPATIAL_IDX(2, 1, 0); // BATCH SIZE IDX - - // All the tensor dimensions are passed at compile time. - // In case of dynamic tensor support, the following dimensions should be passed as function argument. -#define _ISRC_WIDTH SRC_WIDTH -#define _ISRC_HEIGHT SRC_HEIGHT -#define _INUM_TILES_X NUM_TILES_X -#define _INUM_TILES_Y NUM_TILES_Y - - int x = (mout % _INUM_TILES_X) * OUTPUT_TILE_W; - int y = (mout / _INUM_TILES_X) * OUTPUT_TILE_H; - x -= PAD_LEFT; - y -= PAD_TOP; - -#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - TILE(DATA_TYPE, 8, 1, in); - TILE(DATA_TYPE, 8, 1, out); - - // Initialize the input tile - LOOP_UNROLLING(int, i, 0, 1, 8, - { - in[i].v = 0; - }) - -#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - T_LOAD_NHWC(DATA_TYPE, 1, 8, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in); -#else // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - T_LOAD_NHWC(DATA_TYPE, 8, 1, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in); -#endif // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - - TILE(DATA_TYPE, 1, 8, com); - - com[0].s[0] = in[2].v - 4.25f * in[4].v + in[6].v; - com[0].s[1] = in[1].v - 4.25f * in[3].v + in[5].v; - com[0].s[2] = 0.5f * in[1].v - 2.5f * in[3].v + 2.0f * in[5].v; - com[0].s[3] = 0.25f * in[2].v - 1.25f * in[4].v + in[6].v; - com[0].s[4] = 4.0f * in[2].v - 5.0f * in[4].v + in[6].v; - com[0].s[5] = 2.0f * in[1].v - 2.5f * in[3].v + 0.5f * in[5].v; - out[0].s[0] = in[0].v - 5.25f * in[2].v + 5.25f * in[4].v - in[6].v; - out[1].s[0] = com[0].s[0] + com[0].s[1]; - out[2].s[0] = com[0].s[0] - com[0].s[1]; - out[3].s[0] = com[0].s[3] + com[0].s[2]; - out[4].s[0] = com[0].s[3] - com[0].s[2]; - out[5].s[0] = com[0].s[4] + com[0].s[5]; - out[6].s[0] = com[0].s[4] - com[0].s[5]; - out[7].s[0] = -in[1].v + 5.25f * in[3].v - 5.25f * in[5].v + in[7].v; - - TILE(uint, 8, 1, dst_indirect_y); - - LOOP_UNROLLING(int, i, 0, 1, 8, - { - dst_indirect_y[i].v = mout + i * _INUM_TILES_X * _INUM_TILES_Y; - dst_indirect_y[i].v += bout * _INUM_TILES_X * _INUM_TILES_Y * 8; - }) - - T_STORE_INDIRECT_WIDTH_SELECT(DATA_TYPE, 8, 1, 0, BUFFER, dst, cout, dst_stride_y, false, out, dst_indirect_y); - -#else // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - TILE(DATA_TYPE, 64, 1, in); - TILE(DATA_TYPE, 64, 1, out); - - // Initialize the input tile - LOOP_UNROLLING(int, i, 0, 1, 64, - { - in[i].v = 0; - }) - - // Load the tile from a NHWC tensor - T_LOAD_NHWC(DATA_TYPE, 8, 8, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in); - - TILE(DATA_TYPE, 8, 8, com); - - LOOP_UNROLLING(int, i, 0, 1, 8, - { - com[0].s[i] = in[2 * 8 + i].s[0] - (DATA_TYPE)4.25f * in[4 * 8 + i].s[0] + in[6 * 8 + i].s[0]; // x - com[1].s[i] = in[1 * 8 + i].s[0] - (DATA_TYPE)4.25f * in[3 * 8 + i].s[0] + in[5 * 8 + i].s[0]; // x - com[2].s[i] = (DATA_TYPE)0.25f * in[2 * 8 + i].s[0] - (DATA_TYPE)1.25f * in[4 * 8 + i].s[0] + in[6 * 8 + i].s[0]; // x - com[3].s[i] = (DATA_TYPE)0.5f * in[1 * 8 + i].s[0] - (DATA_TYPE)2.5f * in[3 * 8 + i].s[0] + (DATA_TYPE)2.0f * in[5 * 8 + i].s[0]; // x - com[4].s[i] = (DATA_TYPE)4.0f * in[2 * 8 + i].s[0] - (DATA_TYPE)5.0f * in[4 * 8 + i].s[0] + in[6 * 8 + i].s[0]; - com[5].s[i] = (DATA_TYPE)2.0f * in[1 * 8 + i].s[0] - (DATA_TYPE)2.5f * in[3 * 8 + i].s[0] + (DATA_TYPE)0.5f * in[5 * 8 + i].s[0]; - com[6].s[i] = in[0 * 8 + i].s[0] - (DATA_TYPE)5.25f * in[2 * 8 + i].s[0] + (DATA_TYPE)5.25f * in[4 * 8 + i].s[0] - in[6 * 8 + i].s[0]; - com[7].s[i] = -in[1 * 8 + i].s[0] + (DATA_TYPE)5.25f * in[3 * 8 + i].s[0] - (DATA_TYPE)5.25f * in[5 * 8 + i].s[0] + in[7 * 8 + i].s[0]; - }) - - TILE(DATA_TYPE, 8, 8, tmp); - tmp[0].v = com[6].v; - tmp[1].v = com[0].v + com[1].v; - tmp[2].v = com[0].v - com[1].v; - tmp[3].v = com[2].v + com[3].v; - tmp[4].v = com[2].v - com[3].v; - tmp[5].v = com[4].v + com[5].v; - tmp[6].v = com[4].v - com[5].v; - tmp[7].v = com[7].v; - - LOOP_UNROLLING(int, i, 0, 1, 8, - { - com[0].s[0] = tmp[i].s[2] - 4.25f * tmp[i].s[4] + tmp[i].s[6]; - com[0].s[1] = tmp[i].s[1] - 4.25f * tmp[i].s[3] + tmp[i].s[5]; - com[0].s[2] = 0.5f * tmp[i].s[1] - 2.5f * tmp[i].s[3] + 2.0f * tmp[i].s[5]; - com[0].s[3] = 0.25f * tmp[i].s[2] - 1.25f * tmp[i].s[4] + tmp[i].s[6]; - com[0].s[4] = 4.0f * tmp[i].s[2] - 5.0f * tmp[i].s[4] + tmp[i].s[6]; - com[0].s[5] = 2.0f * tmp[i].s[1] - 2.5f * tmp[i].s[3] + 0.5f * tmp[i].s[5]; - out[i * 8 + 0].s[0] = tmp[i].s[0] - 5.25f * tmp[i].s[2] + 5.25f * tmp[i].s[4] - tmp[i].s[6]; - out[i * 8 + 1].s[0] = com[0].s[0] + com[0].s[1]; - out[i * 8 + 2].s[0] = com[0].s[0] - com[0].s[1]; - out[i * 8 + 3].s[0] = com[0].s[3] + com[0].s[2]; - out[i * 8 + 4].s[0] = com[0].s[3] - com[0].s[2]; - out[i * 8 + 5].s[0] = com[0].s[4] + com[0].s[5]; - out[i * 8 + 6].s[0] = com[0].s[4] - com[0].s[5]; - out[i * 8 + 7].s[0] = -tmp[i].s[1] + 5.25f * tmp[i].s[3] - 5.25f * tmp[i].s[5] + tmp[i].s[7]; - }) - - TILE(uint, 64, 1, dst_indirect_y); - - LOOP_UNROLLING(int, i, 0, 1, 64, - { - dst_indirect_y[i].v = mout + i * _INUM_TILES_X * _INUM_TILES_Y; - dst_indirect_y[i].v += bout * _INUM_TILES_X * _INUM_TILES_Y * 64; - }) - - T_STORE_INDIRECT_WIDTH_SELECT(DATA_TYPE, 64, 1, 0, BUFFER, dst, cout, dst_stride_y, false, out, dst_indirect_y); - -#endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) -} - -//! @cond Doxygen_Suppress -/** This OpenCL kernel computes the input transform when the kernel size is 7x7/7x1/1x7 and the output tile is 2x2/7x1/1x7 when the data layout is NHWC - * - * @note Data layout supported: NHWC - * @note Data type supported: F32/F16 - * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=half) - * @note The number of tiles in the X and Y axes must be passed at compile time using -DNUM_TILES_X and -DNUM_TILES_Y (i.e.-DNUM_TILES_X=5, -DNUM_TILES_Y=3). - * @note The convolution padding (left and top) must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (e.g. -DPAD_LEFT=2, -DPAD_TOP=2) - * @note The spatial dimensions of the source tensor must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT (e.g. -DSRC_WIDTH=96, -DSRC_HEIGHT=64) - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 - * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along 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] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -//! @endcond -__kernel void winograd_input_transform_2x2_7x7_stepz1_nhwc( - TENSOR4D(src, BUFFER), - TENSOR4D(dst, BUFFER)) -{ - const int cout = GET_SPATIAL_IDX(0, 1, 0); // OFM - const int mout = GET_SPATIAL_IDX(1, 1, 0); // NUM_TILES_X x NUM_TILES_Y - const int bout = GET_SPATIAL_IDX(2, 1, 0); // BATCH SIZE IDX - - // All the tensor dimensions are passed at compile time. - // In case of dynamic tensor support, the following dimensions should be passed as function argument. -#define _ISRC_WIDTH SRC_WIDTH -#define _ISRC_HEIGHT SRC_HEIGHT -#define _INUM_TILES_X NUM_TILES_X -#define _INUM_TILES_Y NUM_TILES_Y - - int x = (mout % _INUM_TILES_X) * OUTPUT_TILE_W; - int y = (mout / _INUM_TILES_X) * OUTPUT_TILE_H; - x -= PAD_LEFT; - y -= PAD_TOP; - -#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - TILE(DATA_TYPE, 8, 1, in); - TILE(DATA_TYPE, 8, 1, out); - - // Initialize the input tile - LOOP_UNROLLING(int, i, 0, 1, 8, - { - in[i].v = 0; - }) - -#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - T_LOAD_NHWC(DATA_TYPE, 1, 8, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in); -#else // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - T_LOAD_NHWC(DATA_TYPE, 8, 1, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in); -#endif // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - - LOOP_UNROLLING(int, i, 0, 1, 8, - { - in[i].v *= (DATA_TYPE) - 36.0f; - }) - - TILE(DATA_TYPE, 1, 8, com) = { { { 0 } } }; - - com[0].s[0] = 36.0f * in[2].v - 13.0f * in[4].v + in[6].v; - com[0].s[1] = 36.0f * in[1].v - 13.0f * in[3].v + 1.0f * in[5].v; - com[0].s[2] = 9.0f * in[2].v - 10.0f * in[4].v + in[6].v; - com[0].s[3] = 18.0f * in[1].v - 20.0f * in[3].v + 2.0f * in[5].v; - com[0].s[4] = 4.0f * in[2].v - 5.0f * in[4].v + in[6].v; - com[0].s[5] = 12.0f * in[1].v - 15.0f * in[3].v + 3.0f * in[5].v; - out[0].s[0] = -36.0f * in[0].v + 49.0f * in[2].v + -14.0f * in[4].v + in[6].v; - out[1].s[0] = com[0].s[0] - com[0].s[1]; - out[2].s[0] = com[0].s[0] + com[0].s[1]; - out[3].s[0] = com[0].s[2] - com[0].s[3]; - out[4].s[0] = com[0].s[2] + com[0].s[3]; - out[5].s[0] = com[0].s[4] - com[0].s[5]; - out[6].s[0] = com[0].s[4] + com[0].s[5]; - out[7].s[0] = -36.0f * in[1].v + 0.0f * in[2].v + 49.0f * in[3].v - 14.0f * in[5].v + in[7].v; - - TILE(uint, 8, 1, dst_indirect_y); - - LOOP_UNROLLING(int, i, 0, 1, 8, - { - dst_indirect_y[i].v = mout + i * _INUM_TILES_X * _INUM_TILES_Y; - dst_indirect_y[i].v += bout * _INUM_TILES_X * _INUM_TILES_Y * 8; - }) - - T_STORE_INDIRECT_WIDTH_SELECT(DATA_TYPE, 8, 1, 0, BUFFER, dst, cout, dst_stride_y, false, out, dst_indirect_y); - -#else // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) - - TILE(DATA_TYPE, 64, 1, in); - TILE(DATA_TYPE, 64, 1, out); - - // Initialize the input tile - LOOP_UNROLLING(int, i, 0, 1, 64, - { - in[i].v = 0; - }) - - // Load the tile from a NHWC tensor - T_LOAD_NHWC(DATA_TYPE, 8, 8, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in); - - TILE(DATA_TYPE, 8, 8, com); - - LOOP_UNROLLING(int, i, 0, 1, 8, - { - com[0].s[i] = (DATA_TYPE)36.0f * in[2 * 8 + i].s[0] - (DATA_TYPE)13.0f * in[4 * 8 + i].s[0] + in[6 * 8 + i].s[0]; - com[1].s[i] = (DATA_TYPE)36.0f * in[1 * 8 + i].s[0] - (DATA_TYPE)13.0f * in[3 * 8 + i].s[0] + in[5 * 8 + i].s[0]; - com[2].s[i] = (DATA_TYPE)9.0f * in[2 * 8 + i].s[0] - (DATA_TYPE)10.0f * in[4 * 8 + i].s[0] + in[6 * 8 + i].s[0]; - com[3].s[i] = (DATA_TYPE)18.0f * in[1 * 8 + i].s[0] - (DATA_TYPE)20.0f * in[3 * 8 + i].s[0] + (DATA_TYPE)2.0f * in[5 * 8 + i].s[0]; - com[4].s[i] = (DATA_TYPE)4.0f * in[2 * 8 + i].s[0] - (DATA_TYPE)5.0f * in[4 * 8 + i].s[0] + in[6 * 8 + i].s[0]; - com[5].s[i] = (DATA_TYPE)12.0f * in[1 * 8 + i].s[0] - (DATA_TYPE)15.0f * in[3 * 8 + i].s[0] + (DATA_TYPE)3.0f * in[5 * 8 + i].s[0]; - com[6].s[i] = (DATA_TYPE)49.0f * in[2 * 8 + i].s[0] - (DATA_TYPE)36.0f * in[0 * 8 + i].s[0] + in[6 * 8 + i].s[0] - (DATA_TYPE)14.0f * in[4 * 8 + i].s[0]; - com[7].s[i] = (DATA_TYPE)49.0f * in[3 * 8 + i].s[0] - (DATA_TYPE)36.0f * in[1 * 8 + i].s[0] + in[7 * 8 + i].s[0] - (DATA_TYPE)14.0f * in[5 * 8 + i].s[0]; - }) - - TILE(DATA_TYPE, 8, 8, tmp); - tmp[0].v = com[6].v; - tmp[1].v = com[0].v - com[1].v; - tmp[2].v = com[0].v + com[1].v; - tmp[3].v = com[2].v - com[3].v; - tmp[4].v = com[2].v + com[3].v; - tmp[5].v = com[4].v - com[5].v; - tmp[6].v = com[4].v + com[5].v; - tmp[7].v = com[7].v; - - LOOP_UNROLLING(int, i, 0, 1, 8, - { - com[0].s[0] = 36.0f * tmp[i].s[2] - 13.0f * tmp[i].s[4] + tmp[i].s[6]; - com[0].s[1] = 36.0f * tmp[i].s[1] - 13.0f * tmp[i].s[3] + 1.0f * tmp[i].s[5]; - com[0].s[2] = 9.0f * tmp[i].s[2] - 10.0f * tmp[i].s[4] + tmp[i].s[6]; - com[0].s[3] = 18.0f * tmp[i].s[1] - 20.0f * tmp[i].s[3] + 2.0f * tmp[i].s[5]; - com[0].s[4] = 4.0f * tmp[i].s[2] - 5.0f * tmp[i].s[4] + tmp[i].s[6]; - com[0].s[5] = 12.0f * tmp[i].s[1] - 15.0f * tmp[i].s[3] + 3.0f * tmp[i].s[5]; - out[i * 8 + 0].s[0] = -36.0f * tmp[i].s[0] + 49.0f * tmp[i].s[2] + -14.0f * tmp[i].s[4] + tmp[i].s[6]; - out[i * 8 + 1].s[0] = com[0].s[0] - com[0].s[1]; - out[i * 8 + 2].s[0] = com[0].s[0] + com[0].s[1]; - out[i * 8 + 3].s[0] = com[0].s[2] - com[0].s[3]; - out[i * 8 + 4].s[0] = com[0].s[2] + com[0].s[3]; - out[i * 8 + 5].s[0] = com[0].s[4] - com[0].s[5]; - out[i * 8 + 6].s[0] = com[0].s[4] + com[0].s[5]; - out[i * 8 + 7].s[0] = -36.0f * tmp[i].s[1] + 0.0f * tmp[i].s[2] + 49.0f * tmp[i].s[3] - 14.0f * tmp[i].s[5] + tmp[i].s[7]; - }) - - TILE(uint, 64, 1, dst_indirect_y); - - LOOP_UNROLLING(int, i, 0, 1, 64, - { - dst_indirect_y[i].v = mout + i * _INUM_TILES_X * _INUM_TILES_Y; - dst_indirect_y[i].v += bout * _INUM_TILES_X * _INUM_TILES_Y * 64; - }) - - T_STORE_INDIRECT_WIDTH_SELECT(DATA_TYPE, 64, 1, 0, BUFFER, dst, cout, dst_stride_y, false, out, dst_indirect_y); - -#endif // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) -} - -//! @cond Doxygen_Suppress -/** This OpenCL kernel computes the input transform when the kernel size is 3x1 and the output tile is 4x1 for data layout NHWC - * - * @note Data layout supported: NHWC - * @note Data type supported: F32/F16 - * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=half) - * @note The number of tiles in the X and Y axes must be passed at compile time using -DNUM_TILES_X and -DNUM_TILES_Y (i.e.-DNUM_TILES_X=5, -DNUM_TILES_Y=3). - * @note The convolution padding (left and top) must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (e.g. -DPAD_LEFT=2, -DPAD_TOP=2) - * @note The spatial dimensions of the source tensor must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT (e.g. -DSRC_WIDTH=96, -DSRC_HEIGHT=64) - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 - * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along 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] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -//! @endcond -__kernel void winograd_input_transform_4x1_3x1_stepz1_nhwc( - TENSOR4D(src, BUFFER), - TENSOR4D(dst, BUFFER)) -{ - winograd_input_transform_4x4_3x3_stepz1_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_stride_w, - dst_step_w, - dst_offset_first_element_in_bytes); -} - -//! @cond Doxygen_Suppress -/** This OpenCL kernel computes the input transform when the kernel size is 5x1 and the output tile is 4x1 for data layout NHWC - * - * @note Data layout supported: NHWC - * @note Data type supported: F32/F16 - * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=half) - * @note The number of tiles in the X and Y axes must be passed at compile time using -DNUM_TILES_X and -DNUM_TILES_Y (i.e.-DNUM_TILES_X=5, -DNUM_TILES_Y=3). - * @note The convolution padding (left and top) must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (e.g. -DPAD_LEFT=2, -DPAD_TOP=2) - * @note The spatial dimensions of the source tensor must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT (e.g. -DSRC_WIDTH=96, -DSRC_HEIGHT=64) - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 - * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along 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] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -//! @endcond -__kernel void winograd_input_transform_4x1_5x1_stepz1_nhwc( - TENSOR4D(src, BUFFER), - TENSOR4D(dst, BUFFER)) -{ - winograd_input_transform_4x4_5x5_stepz1_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_stride_w, - dst_step_w, - dst_offset_first_element_in_bytes); -} - -//! @cond Doxygen_Suppress -/** This OpenCL kernel computes the input transform when the kernel size is 7x1 and the output tile is 2x1 for data layout NHWC - * - * @note Data layout supported: NHWC - * @note Data type supported: F32/F16 - * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=half) - * @note The number of tiles in the X and Y axes must be passed at compile time using -DNUM_TILES_X and -DNUM_TILES_Y (i.e.-DNUM_TILES_X=5, -DNUM_TILES_Y=3). - * @note The convolution padding (left and top) must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (e.g. -DPAD_LEFT=2, -DPAD_TOP=2) - * @note The spatial dimensions of the source tensor must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT (e.g. -DSRC_WIDTH=96, -DSRC_HEIGHT=64) - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 - * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along 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] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -//! @endcond -__kernel void winograd_input_transform_2x1_7x1_stepz1_nhwc( - TENSOR4D(src, BUFFER), - TENSOR4D(dst, BUFFER)) -{ - winograd_input_transform_2x2_7x7_stepz1_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_stride_w, - dst_step_w, - dst_offset_first_element_in_bytes); -} - -//! @cond Doxygen_Suppress -/** This OpenCL kernel computes the input transform when the kernel size is 1x3 and the output tile is 1x4 for data layout NHWC - * - * @note Data layout supported: NHWC - * @note Data type supported: F32/F16 - * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=half) - * @note The number of tiles in the X and Y axes must be passed at compile time using -DNUM_TILES_X and -DNUM_TILES_Y (i.e.-DNUM_TILES_X=5, -DNUM_TILES_Y=3). - * @note The convolution padding (left and top) must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (e.g. -DPAD_LEFT=2, -DPAD_TOP=2) - * @note The spatial dimensions of the source tensor must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT (e.g. -DSRC_WIDTH=96, -DSRC_HEIGHT=64) - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 - * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along 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] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -//! @endcond -__kernel void winograd_input_transform_1x4_1x3_stepz1_nhwc( - TENSOR4D(src, BUFFER), - TENSOR4D(dst, BUFFER)) -{ - winograd_input_transform_4x4_3x3_stepz1_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_stride_w, - dst_step_w, - dst_offset_first_element_in_bytes); -} - -//! @cond Doxygen_Suppress -/** This OpenCL kernel computes the input transform when the kernel size is 1x5 and the output tile is 1x4 for data layout NHWC - * - * @note Data layout supported: NHWC - * @note Data type supported: F32/F16 - * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=half) - * @note The number of tiles in the X and Y axes must be passed at compile time using -DNUM_TILES_X and -DNUM_TILES_Y (i.e.-DNUM_TILES_X=5, -DNUM_TILES_Y=3). - * @note The convolution padding (left and top) must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (e.g. -DPAD_LEFT=2, -DPAD_TOP=2) - * @note The spatial dimensions of the source tensor must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT (e.g. -DSRC_WIDTH=96, -DSRC_HEIGHT=64) - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 - * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along 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] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -//! @endcond -__kernel void winograd_input_transform_1x4_1x5_stepz1_nhwc( - TENSOR4D(src, BUFFER), - TENSOR4D(dst, BUFFER)) -{ - winograd_input_transform_4x4_5x5_stepz1_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_stride_w, - dst_step_w, - dst_offset_first_element_in_bytes); -} - -//! @cond Doxygen_Suppress -/** This OpenCL kernel computes the input transform when the kernel size is 1x7 and the output tile is 1x2 for data layout NHWC - * - * @note Data layout supported: NHWC - * @note Data type supported: F32/F16 - * @note The data type must be passed at compile time using -DDATA_TYPE (e.g. -DDATA_TYPE=half) - * @note The number of tiles in the X and Y axes must be passed at compile time using -DNUM_TILES_X and -DNUM_TILES_Y (i.e.-DNUM_TILES_X=5, -DNUM_TILES_Y=3). - * @note The convolution padding (left and top) must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (e.g. -DPAD_LEFT=2, -DPAD_TOP=2) - * @note The spatial dimensions of the source tensor must be passed at compile time using -DSRC_WIDTH and -DSRC_HEIGHT (e.g. -DSRC_WIDTH=96, -DSRC_HEIGHT=64) - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 - * @note If this kernel is used to perform Winograd input transform 3x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @note If this kernel is used to perform Winograd input transform 1x3, -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along 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] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -//! @endcond -__kernel void winograd_input_transform_1x2_1x7_stepz1_nhwc( - TENSOR4D(src, BUFFER), - TENSOR4D(dst, BUFFER)) -{ - winograd_input_transform_2x2_7x7_stepz1_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_stride_w, - dst_step_w, - dst_offset_first_element_in_bytes); -} -#endif // defined(NHWC) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(NUM_TILES_X) && defined(NUM_TILES_Y) - -#if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) -/** This OpenCL kernel computes the input transform when the kernel size is 3x1 and the output tile is 2x1 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 - * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @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 image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - */ -__kernel void winograd_input_transform_2x1_3x1_stepz1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst), - uint src_stride_w, - uint dst_stride_w) -{ - winograd_input_transform_2x2_3x3_stepz1_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes, - src_stride_w, - dst_stride_w); -} - -/** This OpenCL kernel computes the input transform when the kernel size is 3x1, the output tile is 2x1 and the number of channels is multiple of 2 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 - * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @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 image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - */ -__kernel void winograd_input_transform_2x1_3x1_stepz2_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst), - uint src_stride_w, - uint dst_stride_w) -{ - winograd_input_transform_2x2_3x3_stepz2_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes, - src_stride_w, - dst_stride_w); -} - -/** This OpenCL kernel computes the input transform when the kernel size is 3x1 and the output tile is 4x1 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=4 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=1 - * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time - * @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 image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - */ -__kernel void winograd_input_transform_4x1_3x1_stepz1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst), - uint src_stride_w, - uint dst_stride_w) -{ - winograd_input_transform_4x4_3x3_stepz1_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes, - src_stride_w, - dst_stride_w); -} - -/** This OpenCL kernel computes the input transform when the kernel size is 5x1 and the output tile is 4x1 when the data layout is NCHW - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=2 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 - * @note -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL 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 image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - */ -__kernel void winograd_input_transform_4x1_5x1_stepz1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst), - uint src_stride_w, - uint dst_stride_w) -{ - winograd_input_transform_4x4_5x5_stepz1_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes, - src_stride_w, - dst_stride_w); -} -#endif // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) - -#if defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) -/** This OpenCL kernel computes the input transform when the kernel size is 1x3 and the output tile is 1x2 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 - * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * @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 image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - */ -__kernel void winograd_input_transform_1x2_1x3_stepz1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst), - uint src_stride_w, - uint dst_stride_w) -{ - winograd_input_transform_2x2_3x3_stepz1_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes, - src_stride_w, - dst_stride_w); -} - -/** This OpenCL kernel computes the input transform when the kernel size is 1x3, the output tile is 1x2 and the number of channels is multiple of 2 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=2 - * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * @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 image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - */ -__kernel void winograd_input_transform_1x2_1x3_stepz2_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst), - uint src_stride_w, - uint dst_stride_w) -{ - winograd_input_transform_2x2_3x3_stepz2_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes, - src_stride_w, - dst_stride_w); -} - -/** This OpenCL kernel computes the input transform when the kernel size is 1x3 and the output tile is 1x4 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 - * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * @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 image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - */ -__kernel void winograd_input_transform_1x4_1x3_stepz1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst), - uint src_stride_w, - uint dst_stride_w) -{ - winograd_input_transform_4x4_3x3_stepz1_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes, - src_stride_w, - dst_stride_w); -} - -/** This OpenCL kernel computes the input transform when the kernel size is 1x5 and the output tile is 1x4 - * - * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). - * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). - * @note The width of the output tile must be passed at compile time using -DOUTPUT_TILE_W: e.g. -DOUTPUT_TILE_W=1 - * @note The height of the output tile must be passed at compile time using -DOUTPUT_TILE_H: e.g. -DOUTPUT_TILE_H=4 - * @note -DWINOGRAD_INPUT_TRANSFORM_VERTICAL has to be passed at compile time - * @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 image. Supported data types: F32/F16 - * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - */ -__kernel void winograd_input_transform_1x4_1x5_stepz1_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst), - uint src_stride_w, - uint dst_stride_w) -{ - winograd_input_transform_4x4_5x5_stepz1_nchw(src_ptr, - src_stride_x, - src_step_x, - src_stride_y, - src_step_y, - src_stride_z, - src_step_z, - src_offset_first_element_in_bytes, - dst_ptr, - dst_stride_x, - dst_step_x, - dst_stride_y, - dst_step_y, - dst_stride_z, - dst_step_z, - dst_offset_first_element_in_bytes, - src_stride_w, - dst_stride_w); -} -#endif // defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) -#endif // defined(NUM_TILES_X) && defined(PAD_LEFT) && defined(PAD_TOP) && defined(OUTPUT_TILE_W) && defined(OUTPUT_TILE_H) |