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Diffstat (limited to 'src/core/CL/cl_kernels/nchw/winograd_input_transform.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/nchw/winograd_input_transform.cl | 1346 |
1 files changed, 1346 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/nchw/winograd_input_transform.cl b/src/core/CL/cl_kernels/nchw/winograd_input_transform.cl new file mode 100644 index 0000000000..8c382183c3 --- /dev/null +++ b/src/core/CL/cl_kernels/nchw/winograd_input_transform.cl @@ -0,0 +1,1346 @@ +/* + * 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(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) |