/* * Copyright (c) 2018-2019 ARM Limited. * * SPDX-License-Identifier: MIT * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to * deal in the Software without restriction, including without limitation the * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or * sell copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ #include "helpers.h" #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)4.25 * in_row4; tmp0 += -in_row6 + (DATA_TYPE)5.25 * in_row4 - (DATA_TYPE)5.25 * in_row2; VEC_DATA_TYPE(DATA_TYPE, 8) comm_fact1 = in_row1 + in_row5 - (DATA_TYPE)4.25 * in_row3; VEC_DATA_TYPE(DATA_TYPE, 8) comm_fact2 = (DATA_TYPE)0.25 * in_row2 - (DATA_TYPE)1.25 * 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)2.5 * in_row3; comm_fact1 = (DATA_TYPE)0.5 * in_row1 - comm_fact0 + (DATA_TYPE)2.0 * 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)2.0 * in_row1 - comm_fact0 + (DATA_TYPE)0.5 * in_row5; comm_fact2 = (DATA_TYPE)4.0 * in_row2 - (DATA_TYPE)5.0 * 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)5.25 * in_row3 - (DATA_TYPE)5.25 * 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(SRC_DIM_1) && defined(SRC_DIM_2) /** 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 The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112) * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112) * @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 * @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_nhwc( 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(NUM_TILES_Y) const int z = get_global_id(2) % NUM_TILES_Y; const int b = get_global_id(2) / NUM_TILES_Y; #else /* defined(NUM_TILES_Y) */ const int z = get_global_id(2); #endif /* defined(NUM_TILES_Y) */ #if defined(NUM_TILES_Y) __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + b * src_stride_w; #else /* defined(NUM_TILES_Y) */ __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(DATA_TYPE); #endif /* defined(NUM_TILES_Y) */ // Clamp coordinates. This clamp is valid for all rows int4 y_coord0 = (int4)(y * OUTPUT_TILE_W) + (int4)(0, 1, 2, 3) - (int4)PAD_LEFT; int2 y_coord1 = (int2)(y * OUTPUT_TILE_W) + (int2)(4, 5) - (int2)PAD_LEFT; y_coord0 = clamp(y_coord0, (int4) - 1, (int4)SRC_DIM_1); y_coord1 = clamp(y_coord1, (int2) - 1, (int2)SRC_DIM_1); int z_coord; int4 valid_y0; int2 valid_y1; #if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // Row4 z_coord = (z * 4) - (int)PAD_TOP + 4; // If z < 0, set y to -1 valid_y0 = select(y_coord0, (int4) - 1, (int4)z_coord < 0); valid_y1 = select(y_coord1, (int2) - 1, (int2)z_coord < 0); // If z >= SRC_DIM_2, set y to SRC_DIM_2 valid_y0 = select(valid_y0, (int4)SRC_DIM_1, (int4)z_coord >= (int)SRC_DIM_2); valid_y1 = select(valid_y1, (int2)SRC_DIM_1, (int2)z_coord >= (int)SRC_DIM_2); // Clamp z coordinate z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); DATA_TYPE d40 = *(__global DATA_TYPE *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d41 = *(__global DATA_TYPE *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d42 = *(__global DATA_TYPE *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d43 = *(__global DATA_TYPE *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d44 = *(__global DATA_TYPE *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d45 = *(__global DATA_TYPE *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE k0 = d44; DATA_TYPE k1 = d44; DATA_TYPE k2 = d44; DATA_TYPE k3 = d44; DATA_TYPE k4 = d44; DATA_TYPE k5 = (DATA_TYPE)0.0f; k0 += 4.0f * d40 - 5.0f * d42; k1 += -4.0f * d41 - 4.0f * d42 + d43; k2 += 4.0f * d41 - 4.0f * d42 - d43; k3 += -2.0f * d41 + 2.0f * d43 - d42; k4 += 2.0f * d41 - 2.0f * d43 - d42; k5 += 4.0f * d41 - 5.0f * d43 + d45; #endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) #if !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // Row0 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 0; #if PAD_TOP != 0 valid_y0 = select(y_coord0, (int4) - 1, (int4)z_coord < 0); valid_y1 = select(y_coord1, (int2) - 1, (int2)z_coord < 0); valid_y0 = select(valid_y0, (int)SRC_DIM_1, (int4)z_coord >= (int)SRC_DIM_2); valid_y1 = select(valid_y1, (int)SRC_DIM_1, (int2)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); #else // PAD_TOP != 0 valid_y0 = y_coord0; valid_y1 = y_coord1; #endif // if PAD_TOP == 0, we cannot read out of bound DATA_TYPE d00 = *(__global DATA_TYPE *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d01 = *(__global DATA_TYPE *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d02 = *(__global DATA_TYPE *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d03 = *(__global DATA_TYPE *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d04 = *(__global DATA_TYPE *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d05 = *(__global DATA_TYPE *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); #else // !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) int4 z_coords0 = (int4)(z * OUTPUT_TILE_H) + (int4)(0, 1, 2, 3) - (int4)PAD_TOP; int2 z_coords1 = (int2)(z * OUTPUT_TILE_H) + (int2)(4, 5) - (int2)PAD_TOP; valid_y0 = select((int4)y_coord0.s0, (int4) - 1, z_coords0 < (int4)0); valid_y1 = select((int2)y_coord0.s0, (int2) - 1, z_coords1 < (int2)0); valid_y0 = select(valid_y0, (int4)SRC_DIM_1, z_coords0 >= (int4)SRC_DIM_2); valid_y1 = select(valid_y1, (int2)SRC_DIM_1, z_coords1 >= (int2)SRC_DIM_2); z_coords0 = clamp((int4)z_coords0, (int4)0, (int4)((int)SRC_DIM_2 - 1)); z_coords1 = clamp((int2)z_coords1, (int2)0, (int2)((int)SRC_DIM_2 - 1)); DATA_TYPE d00 = *(__global DATA_TYPE *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coords0.s0 * src_stride_z); DATA_TYPE d01 = *(__global DATA_TYPE *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coords0.s1 * src_stride_z); DATA_TYPE d02 = *(__global DATA_TYPE *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coords0.s2 * src_stride_z); DATA_TYPE d03 = *(__global DATA_TYPE *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coords0.s3 * src_stride_z); DATA_TYPE d04 = *(__global DATA_TYPE *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coords1.s0 * src_stride_z); DATA_TYPE d05 = *(__global DATA_TYPE *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coords1.s1 * src_stride_z); #endif // !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) DATA_TYPE out0 = 16.0f * d00 - 20.0f * d02 + 4.0f * d04; DATA_TYPE out1 = -16.0f * d01 - 16.0f * d02 + 4.0f * d03 + 4.0f * d04; DATA_TYPE out2 = 16.0f * d01 - 16.0f * d02 - 4.0f * d03 + 4.0f * d04; DATA_TYPE out3 = -8.0f * d01 - 4.0f * d02 + 8.0f * d03 + 4.0f * d04; DATA_TYPE out4 = 8.0f * d01 - 4.0f * d02 - 8.0f * d03 + 4.0f * d04; DATA_TYPE out5 = 16.0f * d01 - 20.0f * d03 + 4.0f * d05; #if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // Row2 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 2; valid_y0 = select(y_coord0, (int4) - 1, (int4)z_coord < 0); valid_y1 = select(y_coord1, (int2) - 1, (int2)z_coord < 0); valid_y0 = select(valid_y0, (int4)SRC_DIM_1, (int4)z_coord >= (int)SRC_DIM_2); valid_y1 = select(valid_y1, (int2)SRC_DIM_1, (int2)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); DATA_TYPE d20 = *(__global DATA_TYPE *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d21 = *(__global DATA_TYPE *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d22 = *(__global DATA_TYPE *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d23 = *(__global DATA_TYPE *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d24 = *(__global DATA_TYPE *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d25 = *(__global DATA_TYPE *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); out0 += k0; out1 += k1; out2 += k2; out3 += k3; out4 += k4; out5 += k5; 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; // Channels [0, 5]: [out00, out01, out02, out03, out04, out05] out0 += -20.0f * d20 + 25.0f * d22 - 5.0f * d24; out1 += 20.0f * d21 + 20.0f * d22 - 5.0f * d23 - 5.0f * d24; out2 += -20.0f * d21 + 20.0f * d22 + 5.0f * d23 - 5.0f * d24; out3 += 10.0f * d21 + 5.0f * d22 - 10.0f * d23 - 5.0f * d24; out4 += -10.0f * d21 + 5.0f * d22 + 10.0f * d23 - 5.0f * d24; out5 += -20.0f * d21 + 25.0f * d23 - 5.0f * d25; #endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // Compute destination address #if defined(NUM_TILES_Y) __global DATA_TYPE *dst_addr = (__global DATA_TYPE *)(dst_ptr + dst_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + (y + z * (int)NUM_TILES_X) * dst_stride_y + b * dst_stride_w); #else /* defined(NUM_TILES_Y) */ __global DATA_TYPE *dst_addr = (__global DATA_TYPE *)(dst_ptr + dst_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + (y + z * (int)NUM_TILES_X) * dst_stride_y); #endif /* defined(NUM_TILES_Y) */ uint dst_plane_stride = dst_stride_z / sizeof(DATA_TYPE); *((__global DATA_TYPE *)dst_addr) = out0; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out1; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out2; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out3; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out4; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out5; dst_addr += dst_plane_stride; #if !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // Row1 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 1; // Row1 can never be out of bounds valid_y0 = y_coord0; valid_y1 = y_coord1; DATA_TYPE d10 = *(__global DATA_TYPE *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d11 = *(__global DATA_TYPE *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d12 = *(__global DATA_TYPE *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d13 = *(__global DATA_TYPE *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d14 = *(__global DATA_TYPE *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d15 = *(__global DATA_TYPE *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); // Row3 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 3; valid_y0 = select(y_coord0, (int4) - 1, (int4)z_coord < 0); valid_y1 = select(y_coord1, (int2) - 1, (int2)z_coord < 0); valid_y0 = select(valid_y0, (int4)SRC_DIM_1, (int4)z_coord >= (int)SRC_DIM_2); valid_y1 = select(valid_y1, (int2)SRC_DIM_1, (int2)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); DATA_TYPE d30 = *(__global DATA_TYPE *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d31 = *(__global DATA_TYPE *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d32 = *(__global DATA_TYPE *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d33 = *(__global DATA_TYPE *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d34 = *(__global DATA_TYPE *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d35 = *(__global DATA_TYPE *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); // Compute common parts for the channels between [6, 29] // Channels [6, 11]: [out10, out11, out12, out13, out14, out15] // Channels [12, 17]: [out20, out21, out22, out23, out24, out25] DATA_TYPE part0 = -16.0f * d20 + 20.0f * d22 - 4.0f * d24; DATA_TYPE part1 = 16.0f * d10 - 20.0f * d12 + 4.0f * d14 - 4.0f * d30 + 5.0f * d32 - d34; DATA_TYPE part2 = 16.0f * d22 - 4.0f * d24; DATA_TYPE part3 = 16.0f * d21 - 4.0f * d23; DATA_TYPE part4 = 16.0f * d12 - 4.0f * d14 - 4.0f * d32 + d34; DATA_TYPE part5 = 16.0f * d11 - 4.0f * d13 - 4.0f * d31 + d33; DATA_TYPE part6 = 4.0f * d22 - 4.0f * d24; DATA_TYPE part7 = 8.0f * d11 - 8.0f * d13 - 2.0f * d31 + 2.0f * d33; DATA_TYPE part8 = 4.0f * d12 - 4.0f * d14 - d32 + d34; DATA_TYPE part9 = 8.0f * d21 - 8.0f * d23; DATA_TYPE part10 = -16.0f * d21 + 20.0f * d23 - 4.0f * d25; DATA_TYPE part11 = -16.0f * d11 + 20.0f * d13 - 4.0f * d15 + 4.0f * d31 - 5.0f * d33 + d35; // Channels [18, 23]: [out30, out31, out32, out33, out34, out35] // Channels [24, 29]: [out40, out41, out42, out43, out44, out45] DATA_TYPE part12 = 8.0f * d10 - 10.0f * d12 + 2.0f * d14 - 8.0f * d30 + 10.0f * d32 - 2.0f * d34; DATA_TYPE part13 = part0 * 0.25f; // -4.0f * d20 + 5.0f * d22 - d24 DATA_TYPE part14 = part2 * 0.25f; // 4.0f * d22 - d24 DATA_TYPE part15 = 8.0f * d11 - 2.0f * d13 - 8.0f * d31 + 2.0f * d33; DATA_TYPE part16 = 8.0f * d12 - 2.0f * d14 - 8.0f * d32 + 2.0f * d34; DATA_TYPE part17 = part3 * 0.25f; // 4.0f * d21 - d23 DATA_TYPE part18 = part6 * 0.25f; // d22 - d24 DATA_TYPE part19 = 4.0f * d11 - 4.0f * d13 - 4.0f * d31 + 4.0f * d33; DATA_TYPE part20 = 2.0f * d12 - 2.0f * d14 - 2.0f * d32 + 2.0f * d34; DATA_TYPE part21 = part9 * 0.25f; // 2.0f * (d21 - d23) DATA_TYPE part22 = part10 * 0.25f; // - 4.0f * d21 + 5.0f * d23 - d25 DATA_TYPE part23 = part11 * 0.5f + 6.0f * d31 - 7.5f * d33 + 1.5f * d35; // - 8.0f * d11 + 10.0f * d13 - 2.0f * d15 + 8.0f * d31 - 10.0f * d33 + 2.0f * d35; out6 += part0 - part1; out12 += part0 + part1; out7 += part2 + part3 + part4 + part5; out8 += part2 - part3 + part4 - part5; out13 += part2 + part3 - part4 - part5; out14 += part2 - part3 - part4 + part5; out9 += part6 + part7 + part8 + part9; out10 += part6 - part7 + part8 - part9; out15 += part6 - part7 - part8 + part9; out16 += part6 + part7 - part8 - part9; out11 += part10 + part11; out17 += part10 - part11; out18 += part13 - part12; out24 += part13 + part12; out19 += part14 + part15 + part16 + part17; out20 += part14 - part15 + part16 - part17; out25 += part14 - part15 - part16 + part17; out26 += part14 + part15 - part16 - part17; out21 += part18 + part19 + part20 + part21; out22 += part18 - part19 + part20 - part21; out27 += part18 - part19 - part20 + part21; out28 += part18 + part19 - part20 - part21; out23 += part22 + part23; out29 += part22 - part23; *((__global DATA_TYPE *)dst_addr) = out6; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out7; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out8; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out9; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out10; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out11; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out12; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out13; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out14; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out15; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out16; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out17; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out18; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out19; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out20; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out21; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out22; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out23; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out24; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out25; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out26; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out27; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out28; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out29; dst_addr += dst_plane_stride; // Row5 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 5; valid_y0 = select(y_coord0, (int4) - 1, (int4)z_coord < 0); valid_y1 = select(y_coord1, (int2) - 1, (int2)z_coord < 0); valid_y0 = select(valid_y0, (int4)SRC_DIM_1, (int4)z_coord >= (int)SRC_DIM_2); valid_y1 = select(valid_y1, (int2)SRC_DIM_1, (int2)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); DATA_TYPE d50 = *(__global DATA_TYPE *)(src_addr + valid_y0.s0 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d51 = *(__global DATA_TYPE *)(src_addr + valid_y0.s1 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d52 = *(__global DATA_TYPE *)(src_addr + valid_y0.s2 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d53 = *(__global DATA_TYPE *)(src_addr + valid_y0.s3 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d54 = *(__global DATA_TYPE *)(src_addr + valid_y1.s0 * (int)src_stride_y + z_coord * src_stride_z); DATA_TYPE d55 = *(__global DATA_TYPE *)(src_addr + valid_y1.s1 * (int)src_stride_y + z_coord * src_stride_z); // Channels [30, 35] out0 = 16.0f * d10 - 20.0f * d12 - 20.0f * d30 + 25.0f * d32 + 4.0f * d50 - 5.0f * d52 + d54 + 4.0f * d14 - 5.0f * d34; out1 = -16.0f * d11 - 16.0f * d12 + 4.0f * d13 + 20.0f * d31 + 20.0f * d32 - 5.0f * d33 - 4.0f * d51 - 4.0f * d52 + d53 + d54 + 4.0f * d14 - 5.0f * d34; out2 = 16.0f * d11 - 16.0f * d12 - 4.0f * d13 - 20.0f * d31 + 20.0f * d32 + 5.0f * d33 + 4.0f * d51 - 4.0f * d52 - d53 + d54 + 4.0f * d14 - 5.0f * d34; out3 = -8.0f * d11 - 4.0f * d12 + 8.0f * d13 + 10.0f * d31 - 10.0f * d33 + 5.0f * d32 - 2.0f * d51 + 2.0f * d53 - d52 + d54 + 4.0f * d14 - 5.0f * d34; out4 = 8.0f * d11 - 4.0f * d12 - 8.0f * d13 - 10.0f * d31 + 5.0f * d32 + 10.0f * d33 + 2.0f * d51 - 2.0f * d53 - d52 + d54 + 4.0f * d14 - 5.0f * d34; out5 = 16.0f * d11 - 20.0f * d13 + 4.0f * d15 - 20.0f * d31 + 25.0f * d33 - 5.0f * d35 + 4.0f * d51 - 5.0f * d53 + d55; *((__global DATA_TYPE *)dst_addr) = out0; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out1; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out2; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out3; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out4; dst_addr += dst_plane_stride; *((__global DATA_TYPE *)dst_addr) = out5; dst_addr += dst_plane_stride; #endif // !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 NHWC * * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112) * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112) * @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 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_nhwc( 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(NUM_TILES_Y) const int z = get_global_id(2) % NUM_TILES_Y; const int b = get_global_id(2) / NUM_TILES_Y; #else /* defined(NUM_TILES_Y) */ const int z = get_global_id(2); #endif /* defined(NUM_TILES_Y) */ // Compute input address #if defined(NUM_TILES_Y) __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + b * src_stride_w; #else /* defined(NUM_TILES_Y) */ __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(DATA_TYPE); #endif /* defined(NUM_TILES_Y) */ #if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) // Clamp coordinates. This clamp is valid for all rows int8 y_coord = (int8)(y * OUTPUT_TILE_W) + (int8)(0, 1, 2, 3, 4, 5, 6, 7) - (int8)PAD_LEFT; y_coord = clamp(y_coord, (int8) - 1, (int8)SRC_DIM_1); // Row0 // We can skip the border clamping along the z dimension as we cannot read out-of-bound in case of 5x1 kernels int z_coord = z * OUTPUT_TILE_H; // Load the input tile VEC_DATA_TYPE(DATA_TYPE, 8) in_row0; in_row0.s0 = *(__global DATA_TYPE *)(src_addr + y_coord.s0 * (int)src_stride_y + z_coord * src_stride_z); in_row0.s1 = *(__global DATA_TYPE *)(src_addr + y_coord.s1 * (int)src_stride_y + z_coord * src_stride_z); in_row0.s2 = *(__global DATA_TYPE *)(src_addr + y_coord.s2 * (int)src_stride_y + z_coord * src_stride_z); in_row0.s3 = *(__global DATA_TYPE *)(src_addr + y_coord.s3 * (int)src_stride_y + z_coord * src_stride_z); in_row0.s4 = *(__global DATA_TYPE *)(src_addr + y_coord.s4 * (int)src_stride_y + z_coord * src_stride_z); in_row0.s5 = *(__global DATA_TYPE *)(src_addr + y_coord.s5 * (int)src_stride_y + z_coord * src_stride_z); in_row0.s6 = *(__global DATA_TYPE *)(src_addr + y_coord.s6 * (int)src_stride_y + z_coord * src_stride_z); in_row0.s7 = *(__global DATA_TYPE *)(src_addr + y_coord.s7 * (int)src_stride_y + z_coord * src_stride_z); // Calculate common factors for intermediate tensor VEC_DATA_TYPE(DATA_TYPE, 8) comm_fact0 = 0.0f; VEC_DATA_TYPE(DATA_TYPE, 8) tmp0 = in_row0; VEC_DATA_TYPE(DATA_TYPE, 8) out0 = (VEC_DATA_TYPE(DATA_TYPE, 8))0.0f; OUTPUT_ROW_4x4_5x5(out0, tmp0, comm_fact0); #elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) // We can skip the border clamping along the y dimension as we cannot read out-of-bound in case of 1x5 kernels int y_coord = y * (int)OUTPUT_TILE_W; // Row0 // We can skip the border clamping along the z dimension as we cannot read out-of-bound in case of 5x1 kernels int8 z_coord = (int8)(z * OUTPUT_TILE_H) + (int8)(0, 1, 2, 3, 4, 5, 6, 7) - (int8)PAD_TOP; int8 valid_y = select((int8)y_coord, (int8) - 1, z_coord < (int8)0); // If z < 0, set y to -1 valid_y = select(valid_y, (int8)SRC_DIM_1, z_coord >= (int8)SRC_DIM_2); // If z >= SRC_DIM_2, set y to SRC_DIM_2 z_coord = clamp(z_coord, (int8)0, (int8)SRC_DIM_2 - 1); // Clamp z coordinate // Load the input tile VEC_DATA_TYPE(DATA_TYPE, 8) in_row0; in_row0.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord.s0 * src_stride_z); in_row0.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord.s1 * src_stride_z); in_row0.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord.s2 * src_stride_z); in_row0.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord.s3 * src_stride_z); in_row0.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord.s4 * src_stride_z); in_row0.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord.s5 * src_stride_z); in_row0.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord.s6 * src_stride_z); in_row0.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord.s7 * src_stride_z); // Calculate common factors for intermediate tensor VEC_DATA_TYPE(DATA_TYPE, 8) comm_fact0 = 0.0f; VEC_DATA_TYPE(DATA_TYPE, 8) tmp0 = in_row0; VEC_DATA_TYPE(DATA_TYPE, 8) out0 = (VEC_DATA_TYPE(DATA_TYPE, 8))0.0f; OUTPUT_ROW_4x4_5x5(out0, tmp0, comm_fact0); #else // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) VEC_DATA_TYPE(DATA_TYPE, 8) in_row0, in_row1, in_row2, in_row3, in_row4, in_row5, in_row6, in_row7; // Clamp coordinates. This clamp is valid for all rows int8 y_coord = (int8)(y * OUTPUT_TILE_W) + (int8)(0, 1, 2, 3, 4, 5, 6, 7) - (int8)PAD_LEFT; y_coord = clamp(y_coord, (int8) - 1, (int8)SRC_DIM_1); // Row0 int z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 0; int8 valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); // If z < 0, set y to -1 valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); // If z >= SRC_DIM_2, set y to SRC_DIM_2 z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); // Clamp z coordinate // Load the input tile in_row0.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); in_row0.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); in_row0.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); in_row0.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); in_row0.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); in_row0.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); in_row0.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); in_row0.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); // Row1 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 1; valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); in_row1.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); in_row1.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); in_row1.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); in_row1.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); in_row1.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); in_row1.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); in_row1.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); in_row1.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); // Row2 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 2; valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); in_row2.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); in_row2.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); in_row2.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); in_row2.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); in_row2.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); in_row2.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); in_row2.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); in_row2.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); // Row3 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 3; valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); in_row3.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); in_row3.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); in_row3.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); in_row3.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); in_row3.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); in_row3.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); in_row3.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); in_row3.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); // Row4 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 4; valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); in_row4.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); in_row4.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); in_row4.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); in_row4.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); in_row4.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); in_row4.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); in_row4.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); in_row4.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); // Row5 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 5; valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); in_row5.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); in_row5.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); in_row5.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); in_row5.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); in_row5.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); in_row5.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); in_row5.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); in_row5.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); // Row6 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 6; valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); in_row6.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); in_row6.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); in_row6.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); in_row6.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); in_row6.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); in_row6.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); in_row6.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); in_row6.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); // Row7 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 7; valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); in_row7.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * src_stride_z); in_row7.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * src_stride_z); in_row7.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * src_stride_z); in_row7.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * src_stride_z); in_row7.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * src_stride_z); in_row7.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * src_stride_z); in_row7.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * src_stride_z); in_row7.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * src_stride_z); VEC_DATA_TYPE(DATA_TYPE, 8) comm_fact0 = in_row2 + in_row6 - (DATA_TYPE)4.25f * in_row4; 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; // Calculate intermediate tensor and reuse common factor vectors const VEC_DATA_TYPE(DATA_TYPE, 8) tmp0 = in_row0 - in_row6 + (DATA_TYPE)5.25f * in_row4 - (DATA_TYPE)5.25f * in_row2; 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.f * 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.f * in_row1 - comm_fact0 + (DATA_TYPE)0.5f * in_row5; comm_fact2 = (DATA_TYPE)4.f * in_row2 - (DATA_TYPE)5.f * 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; // Calculate output rows (reuse comm_fact0 vector) VEC_DATA_TYPE(DATA_TYPE, 8) out0, out1, out2, out3, out4, out5, out6, out7; OUTPUT_ROW_4x4_5x5(out0, tmp0, comm_fact0); OUTPUT_ROW_4x4_5x5(out1, tmp1, comm_fact0); OUTPUT_ROW_4x4_5x5(out2, tmp2, comm_fact0); OUTPUT_ROW_4x4_5x5(out3, tmp3, comm_fact0); OUTPUT_ROW_4x4_5x5(out4, tmp4, comm_fact0); OUTPUT_ROW_4x4_5x5(out5, tmp5, comm_fact0); OUTPUT_ROW_4x4_5x5(out6, tmp6, comm_fact0); OUTPUT_ROW_4x4_5x5(out7, tmp7, comm_fact0); #endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // Store values across the channels #if defined(NUM_TILES_Y) __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + (y + z * (int)NUM_TILES_X) * dst_stride_y + b * dst_stride_w; #else /* NUM_TILES_Y */ __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + (y + z * (int)NUM_TILES_X) * dst_stride_y; #endif /* NUM_TILES_Y */ *((__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) } /** 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 The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=7). * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0). * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112) * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112) * @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 7x1, -DWINOGRAD_INPUT_TRANSFORM_HORIZONTAL has to be passed at compile time * @note If this kernel is used to perform Winograd input transform 1x7, -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 * @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_7x7_stepz1_nhwc( 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(NUM_TILES_Y) const int z = get_global_id(2) % NUM_TILES_Y; const int b = get_global_id(2) / NUM_TILES_Y; #else /* defined(NUM_TILES_Y) */ const int z = get_global_id(2); #endif /* defined(NUM_TILES_Y) */ // Compute input address #if defined(NUM_TILES_Y) __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + b * src_stride_w; #else /* defined(NUM_TILES_Y) */ __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(DATA_TYPE); #endif /* defined(NUM_TILES_Y) */ #if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) // Clamp coordinates. This clamp is valid for all rows int8 y_coord = (int8)(y * OUTPUT_TILE_W) + (int8)(0, 1, 2, 3, 4, 5, 6, 7) - (int8)PAD_LEFT; y_coord = clamp(y_coord, (int8) - 1, (int8)SRC_DIM_1); // Clamp coordinates. This clamp is valid for all columns int z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 0; int8 valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); // If z < 0, set y to -1 valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); // If z >= SRC_DIM_2, set y to SRC_DIM_2 z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); // Load the input tile VEC_DATA_TYPE(DATA_TYPE, 8) in_row0; in_row0.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row0.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row0.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row0.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row0.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row0.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row0.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row0.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * (int)src_stride_z); VEC_DATA_TYPE(DATA_TYPE, 8) out0 = (VEC_DATA_TYPE(DATA_TYPE, 8))0.0f; VEC_DATA_TYPE(DATA_TYPE, 8) tmp0 = ((VEC_DATA_TYPE(DATA_TYPE, 8)) - 36.0f) * in_row0; VEC_DATA_TYPE(DATA_TYPE, 8) comm_fact0 = (VEC_DATA_TYPE(DATA_TYPE, 8))0.0f; OUTPUT_ROW_2x2_7x7(out0, tmp0, comm_fact0); #elif defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) // We can skip the border clamping along the y dimension as we cannot read out-of-bound in case of 1x5 kernels int y_coord = y * (int)OUTPUT_TILE_W; // Row0 // We can skip the border clamping along the z dimension as we cannot read out-of-bound in case of 5x1 kernels int8 z_coord = (int8)(z * OUTPUT_TILE_H) + (int8)(0, 1, 2, 3, 4, 5, 6, 7) - (int8)PAD_TOP; int8 valid_y = select((int8)y_coord, (int8) - 1, z_coord < (int8)0); // If z < 0, set y to -1 valid_y = select(valid_y, (int8)SRC_DIM_1, z_coord >= (int8)SRC_DIM_2); // If z >= SRC_DIM_2, set y to SRC_DIM_2 z_coord = clamp(z_coord, (int8)0, (int8)SRC_DIM_2 - 1); // Clamp z coordinate // Load the input tile VEC_DATA_TYPE(DATA_TYPE, 8) in_row0; in_row0.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord.s0 * (int)src_stride_z); in_row0.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord.s1 * (int)src_stride_z); in_row0.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord.s2 * (int)src_stride_z); in_row0.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord.s3 * (int)src_stride_z); in_row0.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord.s4 * (int)src_stride_z); in_row0.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord.s5 * (int)src_stride_z); in_row0.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord.s6 * (int)src_stride_z); in_row0.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord.s7 * (int)src_stride_z); // Calculate common factors for intermediate tensor VEC_DATA_TYPE(DATA_TYPE, 8) tmp0 = ((VEC_DATA_TYPE(DATA_TYPE, 8)) - 36.0f) * in_row0; VEC_DATA_TYPE(DATA_TYPE, 8) out0 = (VEC_DATA_TYPE(DATA_TYPE, 8))0.0f; VEC_DATA_TYPE(DATA_TYPE, 8) comm_fact0 = (VEC_DATA_TYPE(DATA_TYPE, 8))0.0f; OUTPUT_ROW_2x2_7x7(out0, tmp0, comm_fact0); #else // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) VEC_DATA_TYPE(DATA_TYPE, 8) in_row0, in_row1, in_row2, in_row3, in_row4, in_row5, in_row6, in_row7; // Clamp coordinates. This clamp is valid for all rows int8 y_coord = (int8)(y * OUTPUT_TILE_W) + (int8)(0, 1, 2, 3, 4, 5, 6, 7) - (int8)PAD_LEFT; y_coord = clamp(y_coord, (int8) - 1, (int8)SRC_DIM_1); // Row0 int z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 0; int8 valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); // If z < 0, set y to -1 valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); // If z >= SRC_DIM_2, set y to SRC_DIM_2 z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); // Clamp z coordinate // Load the input tile in_row0.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row0.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row0.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row0.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row0.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row0.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row0.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row0.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * (int)src_stride_z); // Row1 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 1; valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); in_row1.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row1.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row1.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row1.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row1.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row1.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row1.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row1.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * (int)src_stride_z); // Row2 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 2; valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); in_row2.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row2.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row2.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row2.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row2.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row2.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row2.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row2.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * (int)src_stride_z); // Row3 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 3; valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); in_row3.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row3.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row3.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row3.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row3.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row3.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row3.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row3.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * (int)src_stride_z); // Row4 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 4; valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); in_row4.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row4.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row4.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row4.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row4.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row4.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row4.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row4.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * (int)src_stride_z); // Row5 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 5; valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); in_row5.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row5.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row5.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row5.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row5.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row5.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row5.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row5.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * (int)src_stride_z); // Row6 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 6; valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); in_row6.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row6.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row6.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row6.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row6.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row6.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row6.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row6.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * (int)src_stride_z); // Row7 z_coord = (z * (int)OUTPUT_TILE_H) - (int)PAD_TOP + 7; valid_y = select(y_coord, (int8) - 1, (int8)z_coord < 0); valid_y = select(valid_y, (int8)SRC_DIM_1, (int8)z_coord >= (int)SRC_DIM_2); z_coord = clamp(z_coord, 0, (int)SRC_DIM_2 - 1); in_row7.s0 = *(__global DATA_TYPE *)(src_addr + valid_y.s0 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row7.s1 = *(__global DATA_TYPE *)(src_addr + valid_y.s1 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row7.s2 = *(__global DATA_TYPE *)(src_addr + valid_y.s2 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row7.s3 = *(__global DATA_TYPE *)(src_addr + valid_y.s3 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row7.s4 = *(__global DATA_TYPE *)(src_addr + valid_y.s4 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row7.s5 = *(__global DATA_TYPE *)(src_addr + valid_y.s5 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row7.s6 = *(__global DATA_TYPE *)(src_addr + valid_y.s6 * (int)src_stride_y + z_coord * (int)src_stride_z); in_row7.s7 = *(__global DATA_TYPE *)(src_addr + valid_y.s7 * (int)src_stride_y + z_coord * (int)src_stride_z); VEC_DATA_TYPE(DATA_TYPE, 8) comm_fact0 = (DATA_TYPE)36.0f * in_row2 - (DATA_TYPE)13.0f * in_row4 + in_row6; VEC_DATA_TYPE(DATA_TYPE, 8) comm_fact1 = (DATA_TYPE)36.0f * in_row1 - (DATA_TYPE)13.0f * in_row3 + in_row5; VEC_DATA_TYPE(DATA_TYPE, 8) comm_fact2 = (DATA_TYPE)9.0f * in_row2 - (DATA_TYPE)10.0f * in_row4 + in_row6; VEC_DATA_TYPE(DATA_TYPE, 8) comm_fact3 = (DATA_TYPE)18.0f * in_row1 - (DATA_TYPE)20.0f * in_row3 + (DATA_TYPE)2.0f * in_row5; VEC_DATA_TYPE(DATA_TYPE, 8) comm_fact4 = (DATA_TYPE)4.0f * in_row2 - (DATA_TYPE)5.0f * in_row4 + in_row6; VEC_DATA_TYPE(DATA_TYPE, 8) comm_fact5 = (DATA_TYPE)12.0f * in_row1 - (DATA_TYPE)15.0f * in_row3 + (DATA_TYPE)3.0f * in_row5; // Calculate intermediate tensors const VEC_DATA_TYPE(DATA_TYPE, 8) tmp0 = -(DATA_TYPE)36.0f * in_row0 + (DATA_TYPE)49.0f * in_row2 - (DATA_TYPE)14.0f * 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; const VEC_DATA_TYPE(DATA_TYPE, 8) tmp3 = comm_fact2 - comm_fact3; const VEC_DATA_TYPE(DATA_TYPE, 8) tmp4 = comm_fact2 + comm_fact3; const VEC_DATA_TYPE(DATA_TYPE, 8) tmp5 = comm_fact4 - comm_fact5; const VEC_DATA_TYPE(DATA_TYPE, 8) tmp6 = comm_fact4 + comm_fact5; const VEC_DATA_TYPE(DATA_TYPE, 8) tmp7 = -(DATA_TYPE)36.0f * in_row1 + (DATA_TYPE)49.0f * in_row3 - (DATA_TYPE)14.0f * in_row5 + in_row7; VEC_DATA_TYPE(DATA_TYPE, 8) out0, out1, out2, out3, out4, out5, out6, out7; OUTPUT_ROW_2x2_7x7(out0, tmp0, comm_fact0); OUTPUT_ROW_2x2_7x7(out1, tmp1, comm_fact0); OUTPUT_ROW_2x2_7x7(out2, tmp2, comm_fact0); OUTPUT_ROW_2x2_7x7(out3, tmp3, comm_fact0); OUTPUT_ROW_2x2_7x7(out4, tmp4, comm_fact0); OUTPUT_ROW_2x2_7x7(out5, tmp5, comm_fact0); OUTPUT_ROW_2x2_7x7(out6, tmp6, comm_fact0); OUTPUT_ROW_2x2_7x7(out7, tmp7, comm_fact0); #endif // !defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) && !defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL) // Store values across the channels #if defined(NUM_TILES_Y) __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + (y + z * (int)NUM_TILES_X) * dst_stride_y + b * dst_stride_w; #else /* NUM_TILES_Y */ __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + (y + z * (int)NUM_TILES_X) * dst_stride_y; #endif /* NUM_TILES_Y */ *((__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) } #endif // defined(SRC_DIM_1) && defined(SRC_DIM_2) #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); } #if defined(SRC_DIM_1) && defined(SRC_DIM_2) /** This OpenCL kernel computes the input transform when the kernel size is 3x1 and the output tile is 4x1 for data layout NHWC * * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112) * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112) * @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_nhwc( TENSOR3D_DECLARATION(src), TENSOR3D_DECLARATION(dst), uint src_stride_w, uint dst_stride_w) { 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_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 for data layout NHWC * * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112) * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112) * @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_5x1_stepz1_nhwc( TENSOR3D_DECLARATION(src), TENSOR3D_DECLARATION(dst), uint src_stride_w, uint dst_stride_w) { 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_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 7x1 and the output tile is 2x1 for data layout NHWC * * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=7). * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112) * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112) * @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=7 * @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_7x1_stepz1_nhwc( TENSOR3D_DECLARATION(src), TENSOR3D_DECLARATION(dst), uint src_stride_w, uint dst_stride_w) { 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_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(NUM_TILES_Y) && defined(SRC_DIM_1) && defined(SRC_DIM_2) #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); } #if defined(SRC_DIM_1) && defined(SRC_DIM_2) /** This OpenCL kernel computes the input transform when the kernel size is 1x3 and the output tile is 1x4 for data layout NHWC * * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112) * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112) * @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_nhwc( TENSOR3D_DECLARATION(src), TENSOR3D_DECLARATION(dst), uint src_stride_w, uint dst_stride_w) { 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_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 for data layout NHWC * * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5). * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112) * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112) * @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_nhwc( TENSOR3D_DECLARATION(src), TENSOR3D_DECLARATION(dst), uint src_stride_w, uint dst_stride_w) { 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_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 1x7 and the output tile is 1x2 for data layout NHWC * * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=7). * @note Dimension one of the input tensor (width for NHWC data layout) must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM_1=112) * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112) * @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=7 * @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_1x7_stepz1_nhwc( TENSOR3D_DECLARATION(src), TENSOR3D_DECLARATION(dst), uint src_stride_w, uint dst_stride_w) { 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_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(SRC_DIM_1) && defined(SRC_DIM_2) #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)