/* * Copyright (c) 2019-2021 Arm Limited. * * SPDX-License-Identifier: MIT * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to * deal in the Software without restriction, including without limitation the * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or * sell copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ #include "helpers.h" #if defined(VEC_SIZE) && defined(DATA_TYPE) && defined(DATA_TYPE_OUTPUT) #define VEC_TYPE_IN VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) #define VEC_TYPE_OUT VEC_DATA_TYPE(DATA_TYPE_OUTPUT, VEC_SIZE) #define VEC_SELECT_IN SELECT_VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) #define VEC_SIGNED_INT_IN SIGNED_INT_VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) #if defined(FLOAT_DATA_TYPE) #define ISGREATER(x, y) (VEC_SELECT_IN) isgreater(x, y) #define ISLESS(x, y) (VEC_SELECT_IN) isless(x, y) #else // !FLOAT_DATA_TYPE #if defined(WIDTH) #define ISGREATER(x, y) (x > y) ? 1 : 0 #define ISLESS(x, y) (x < y) ? 1 : 0 #else // !defined(WIDTH) #define ISGREATER(x, y) select((VEC_SIGNED_INT_IN)0, (VEC_SIGNED_INT_IN)-1, (VEC_SIGNED_INT_IN)(x > y)) #define ISLESS(x, y) select((VEC_SIGNED_INT_IN)0, (VEC_SIGNED_INT_IN)-1, (VEC_SIGNED_INT_IN)(x < y)) #endif // defined(WIDTH) #endif // defined(FLOAT_DATA_TYPE) #if defined(ARG_MAX) #define CONDITION_TO_USE(x, y) ISGREATER(x, y) #elif defined(ARG_MIN) #define CONDITION_TO_USE(x, y) ISLESS(x, y) #else // !(defined(ARG_MAX) || defined(ARG_MIN)) #error "Unsupported reduction operation!" #endif // defined(ARG_MAX) #if defined(WIDTH) #if defined(ARG_MIN) #if defined(PREV_OUTPUT) /** Find index minimum value of a vector * * @param[in] input Pointer to the first value. * * @return index of the vector. */ inline DATA_TYPE_OUTPUT arg_idx_min_prev_out(__global const DATA_TYPE *input, __global const DATA_TYPE_OUTPUT *prev_res, const int x_idx) { int end_elem = (x_idx + 1) * 16; if(end_elem > WIDTH) { end_elem = WIDTH - x_idx * 16; } DATA_TYPE_OUTPUT res = prev_res[0]; for(int x_v = 1; x_v < end_elem; ++x_v) { res = select(res, prev_res[x_v], *(input + prev_res[x_v]) < * (input + res)); } return res; } #else // !defined(PREV_OUTPUT) /** Find index minimum value of a vector * * @param[in] input Pointer to the first value. * * @return index of the vector. */ inline DATA_TYPE_OUTPUT arg_idx_min(__global const DATA_TYPE *input, const int x_idx) { #if WIDTH < 16 DATA_TYPE_OUTPUT res = 0; for(DATA_TYPE_OUTPUT x_v = res + 1; x_v < WIDTH; ++x_v) { res = select(res, x_v, *(input + x_v) < * (input + res)); } return res; #else // WIDTH >= 16 int x_elem = x_idx * 16; const int x_goback = select(0, 16 - WIDTH % 16, x_elem + 16 > WIDTH); x_elem -= x_goback; VEC_DATA_TYPE(DATA_TYPE, 16) in = vload16(0, input - x_goback); VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16) res = { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 }; SIGNED_INT_VEC_DATA_TYPE(DATA_TYPE, 8) idx_sel = (in.s01234567 <= in.s89abcdef); in.s01234567 = select(in.s89abcdef, in.s01234567, idx_sel); res.s01234567 = select(res.s89abcdef, res.s01234567, CONVERT(idx_sel, int8)); idx_sel.s0123 = (in.s0123 < in.s4567) || (in.s0123 == in.s4567 && CONVERT((res.s0123 < res.s4567), SIGNED_INT_VEC_DATA_TYPE(DATA_TYPE, 4))); in.s0123 = select(in.s4567, in.s0123, idx_sel.s0123); res.s0123 = select(res.s4567, res.s0123, CONVERT(idx_sel.s0123, int4)); idx_sel.s01 = (in.s01 < in.s23) || (in.s01 == in.s23 && CONVERT((res.s01 < res.s23), SIGNED_INT_VEC_DATA_TYPE(DATA_TYPE, 2))); in.s01 = select(in.s23, in.s01, idx_sel.s01); res.s01 = select(res.s23, res.s01, CONVERT(idx_sel.s01, int2)); idx_sel.s0 = (in.s0 < in.s1) || (in.s0 == in.s1 && CONVERT((res.s0 < res.s1), SIGNED_INT_DATA_TYPE(DATA_TYPE))); res.s0 = select(res.s1, res.s0, CONVERT(idx_sel.s0, int)); return res.s0 + x_elem; #endif // WIDTH < 16 } #endif // defined(PREV_OUTPUT) #endif // defined(ARG_MIN) #if defined(ARG_MAX) #if defined(PREV_OUTPUT) /** Find index maximum value of a vector * * @param[in] input Pointer to the first value. * * @return index of the vector. */ inline DATA_TYPE_OUTPUT arg_idx_max_prev_out(__global const DATA_TYPE *input, __global const DATA_TYPE_OUTPUT *prev_res, const int x_idx) { int end_elem = (x_idx + 1) * 16; if(end_elem > WIDTH) { end_elem = WIDTH - x_idx * 16; } DATA_TYPE_OUTPUT res = prev_res[0]; for(int x_v = 1; x_v < end_elem; ++x_v) { res = select(res, prev_res[x_v], *(input + prev_res[x_v]) > *(input + res)); } return res; } #else // !defined(PREV_OUTPUT) /** Find index maximum value of a vector * * @param[in] input Pointer to the first value. * * @return index of the vector. */ inline DATA_TYPE_OUTPUT arg_idx_max(__global const DATA_TYPE *input, const int x_idx) { #if WIDTH < 16 DATA_TYPE_OUTPUT res = 0; for(DATA_TYPE_OUTPUT x_v = res + 1; x_v < WIDTH; ++x_v) { res = select(res, x_v, *(input + x_v) > *(input + res)); } return res; #else // WIDTH >= 16 int x_elem = x_idx * 16; const int x_goback = select(0, 16 - WIDTH % 16, x_elem + 16 > WIDTH); x_elem -= x_goback; VEC_DATA_TYPE(DATA_TYPE, 16) in = vload16(0, input - x_goback); VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16) res = { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 }; SIGNED_INT_VEC_DATA_TYPE(DATA_TYPE, 8) idx_sel = (in.s01234567 >= in.s89abcdef); in.s01234567 = select(in.s89abcdef, in.s01234567, idx_sel); res.s01234567 = select(res.s89abcdef, res.s01234567, CONVERT(idx_sel, int8)); idx_sel.s0123 = (in.s0123 > in.s4567) || (in.s0123 == in.s4567 && CONVERT((res.s0123 < res.s4567), SIGNED_INT_VEC_DATA_TYPE(DATA_TYPE, 4))); in.s0123 = select(in.s4567, in.s0123, idx_sel.s0123); res.s0123 = select(res.s4567, res.s0123, CONVERT(idx_sel.s0123, int4)); idx_sel.s01 = (in.s01 > in.s23) || (in.s01 == in.s23 && CONVERT((res.s01 < res.s23), SIGNED_INT_VEC_DATA_TYPE(DATA_TYPE, 2))); in.s01 = select(in.s23, in.s01, idx_sel.s01); res.s01 = select(res.s23, res.s01, CONVERT(idx_sel.s01, int2)); idx_sel.s0 = (in.s0 > in.s1) || (in.s0 == in.s1 && CONVERT((res.s0 < res.s1), SIGNED_INT_DATA_TYPE(DATA_TYPE))); res.s0 = select(res.s1, res.s0, CONVERT(idx_sel.s0, int)); return res.s0 + x_elem; #endif // WIDTH < 16 } #endif // defined(PREV_OUTPUT) #endif // defined(ARG_MAX) /** This kernel performs parallel reduction given an operation on x-axis. * * @note In case the results of previous stages are passed the flag PREV_OUTPUT has to be passed using -DPREV_OUTPUT * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float * @note The data type of the output must be passed at compile time using -DDATA_TYPE_OUTPUT: e.g. -DDATA_TYPE_OUTPUT=uint * @note The arg_max flag must be passed at compile time using -DARG_MAX if we want to compute the ArgMax * @note The arg_min flag must be passed at compile time using -DARG_MIN if we want to compute the ArgMin * * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/S32/F16/F32 * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor * @param[in] prev_res_ptr (Optional) Pointer to previous results tensor. Supported data types: U32/S32 * @param[in] prev_res_stride_x (Optional) Stride of the output tensor in X dimension (in bytes) * @param[in] prev_res_step_x (Optional) prev_res_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] prev_res_stride_y (Optional) Stride of the output tensor in Y dimension (in bytes) * @param[in] prev_res_step_y (Optional) prev_res_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] prev_res_offset_first_element_in_bytes (Optional) The offset of the first element in the previous results tensor * @param[in] partial_res_ptr The local buffer to hold partial result values. Supported data types: U32/S32 * @param[in] partial_res_stride_x Stride of the output tensor in X dimension (in bytes) * @param[in] partial_res_step_x partial_res_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] partial_res_stride_y Stride of the output tensor in Y dimension (in bytes) * @param[in] partial_res_step_y partial_res_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] partial_res_offset_first_element_in_bytes The offset of the first element in the source tensor * @param[in] local_results Local buffer for storing the partial result */ __kernel void arg_min_max_x( IMAGE_DECLARATION(src), #if defined(PREV_OUTPUT) IMAGE_DECLARATION(prev_res), #endif // defined(PREV_OUTPUT) IMAGE_DECLARATION(partial_res), __local DATA_TYPE_OUTPUT *local_results) { #if defined(PREV_OUTPUT) Image src = CONVERT_TO_IMAGE_STRUCT_NO_STEP(src); Image prev_res = CONVERT_TO_IMAGE_STRUCT(prev_res); #else // !defined(PREV_OUTPUT) Image src = CONVERT_TO_IMAGE_STRUCT(src); #endif // defined(PREV_OUTPUT) Image partial_res = CONVERT_TO_IMAGE_STRUCT(partial_res); unsigned int lsize = get_local_size(0); unsigned int lid = get_local_id(0); const uint x_idx = get_global_id(0); const uint y_idx = get_global_id(1); const __global DATA_TYPE *src_in_row = (const __global DATA_TYPE *)(src_ptr + src_offset_first_element_in_bytes + y_idx * src_step_y); for(unsigned int y = 0; y < get_local_size(1); ++y) { #if defined(ARG_MAX) #if defined(PREV_OUTPUT) local_results[lid] = arg_idx_max_prev_out(src_in_row, (__global DATA_TYPE_OUTPUT *)offset(&prev_res, 0, y), x_idx); #else // !defined(PREV_OUTPUT) local_results[lid] = arg_idx_max((__global DATA_TYPE *)offset(&src, 0, y), x_idx); #endif // defined(PREV_OUTPUT) #else // defined(ARG_MIN) #if defined(PREV_OUTPUT) local_results[lid] = arg_idx_min_prev_out(src_in_row, (__global DATA_TYPE_OUTPUT *)offset(&prev_res, 0, y), x_idx); #else // !defined(PREV_OUTPUT) local_results[lid] = arg_idx_min((__global DATA_TYPE *)offset(&src, 0, y), x_idx); #endif // defined(PREV_OUTPUT) #endif // defined(ARG_MAX) || defined(ARG_MIN) barrier(CLK_LOCAL_MEM_FENCE); // Looking for the next highest power of 2 (maximum value of lsize is 8) unsigned int middle = lsize - 1; middle |= middle >> 1; middle |= middle >> 2; middle += 1; // Perform parallel reduction for(unsigned int i = middle; i > 0; i >>= 1) { if(lid < i && lid + i < lsize) { DATA_TYPE tmp0 = *(src_in_row + local_results[lid]); DATA_TYPE tmp1 = *(src_in_row + local_results[lid + i]); #if defined(ARG_MAX) local_results[lid] = select( local_results[lid], local_results[lid + i], ((tmp0 == tmp1) && (local_results[lid + i] < local_results[lid])) || (tmp0 < tmp1)); #else // defined(ARG_MIN) local_results[lid] = select( local_results[lid], local_results[lid + i], ((tmp0 == tmp1) && (local_results[lid + i] < local_results[lid])) || (tmp0 > tmp1)); #endif // defined(ARG_MAX) || defined(ARG_MIN) } barrier(CLK_LOCAL_MEM_FENCE); } if(lid == 0) { ((__global DATA_TYPE_OUTPUT *)offset(&partial_res, get_group_id(0), y))[0] = local_results[0]; } } } #endif // defined(WIDTH) #if defined(HEIGHT) /** This kernel performs reduction on y-axis. * * @note The input data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float * @note Leftover vector size has to be passed at compile time using -DVEC_SIZE_LEFTOVER. e.g. -DVEC_SIZE_LEFTOVER=3. It is defined as the remainder between the input's first dimension and VEC_SIZE * @note The data type of the output must be passed at compile time using -DDATA_TYPE_OUTPUT: e.g. -DDATA_TYPE_OUTPUT=uint * @note The height size must be passed at compile time using -DHEIGHT e.g. -DHEIGHT=128 * * @param[in] input_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/S32/F16/F32 * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: U32/S32 * @param[in] output_stride_x Stride of the output tensor in X dimension (in bytes) * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] output_stride_y Stride of the output tensor in Y dimension (in bytes) * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] output_offset_first_element_in_bytes The offset of the first element in the source tensor */ __kernel void arg_min_max_y( IMAGE_DECLARATION(input), IMAGE_DECLARATION(output)) { const int x_offs = max((int)(get_global_id(0) * VEC_SIZE - (VEC_SIZE - VEC_SIZE_LEFTOVER) % VEC_SIZE), 0); __global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * input_stride_y; __global uchar *output_addr = output_ptr + output_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE_OUTPUT) + get_global_id(1) * output_stride_y; VEC_TYPE_IN res = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input_addr), VEC_TYPE_IN); VEC_TYPE_OUT indx0 = 0; for(DATA_TYPE_OUTPUT y = 1; y < HEIGHT; ++y) { VEC_TYPE_IN in = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(input_addr + y * input_stride_y)), VEC_TYPE_IN); VEC_TYPE_OUT cond_conv = CONVERT(CONDITION_TO_USE(in, res), VEC_TYPE_OUT); indx0 = select(indx0, (VEC_TYPE_OUT)y, cond_conv); res = select(res, in, CONDITION_TO_USE(in, res)); } // Store result STORE_VECTOR_SELECT(indx, DATA_TYPE_OUTPUT, output_addr, VEC_SIZE, VEC_SIZE_LEFTOVER, VEC_SIZE_LEFTOVER != 0 && get_global_id(0) == 0); } #endif // defined(HEIGHT) #if defined(DEPTH) && !defined(BATCH) /** This kernel performs reduction on z-axis. * * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float * @note Leftover vector size has to be passed at compile time using -DVEC_SIZE_LEFTOVER. e.g. -DVEC_SIZE_LEFTOVER=3. It is defined as the remainder between the input's first dimension and VEC_SIZE * @note The depth size must be passed at compile time using -DDEPTH e.g. -DDEPTH=128 * * @param[in] input_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/S32/F16/F32 * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: U32/S32 * @param[in] output_stride_x Stride of the output tensor in X dimension (in bytes) * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] output_stride_y Stride of the output tensor in Y dimension (in bytes) * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] output_stride_z Stride of the output tensor in Z dimension (in bytes) * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) * @param[in] output_offset_first_element_in_bytes The offset of the first element in the source tensor */ __kernel void arg_min_max_z( TENSOR3D_DECLARATION(input), TENSOR3D_DECLARATION(output)) { const int x_offs = max((int)(get_global_id(0) * VEC_SIZE - (VEC_SIZE - VEC_SIZE_LEFTOVER) % VEC_SIZE), 0); __global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * input_stride_y + get_global_id(2) * input_stride_z; __global uchar *output_addr = output_ptr + output_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE_OUTPUT) + get_global_id(1) * output_stride_y + get_global_id(2) * output_stride_z; VEC_TYPE_IN res = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input_addr), VEC_TYPE_IN); VEC_TYPE_OUT indx0 = 0; for(DATA_TYPE_OUTPUT z = 1; z < DEPTH; ++z) { VEC_TYPE_IN in = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(input_addr + z * input_stride_z)), VEC_TYPE_IN); VEC_TYPE_OUT cond_conv = CONVERT(CONDITION_TO_USE(in, res), VEC_TYPE_OUT); indx0 = select(indx0, (VEC_TYPE_OUT)z, cond_conv); res = select(res, in, CONDITION_TO_USE(in, res)); } // Store result STORE_VECTOR_SELECT(indx, DATA_TYPE_OUTPUT, output_addr, VEC_SIZE, VEC_SIZE_LEFTOVER, VEC_SIZE_LEFTOVER != 0 && get_global_id(0) == 0); } #endif /* defined(DEPTH) && !defined(BATCH) */ #if defined(BATCH) && defined(DEPTH) /** This kernel performs reduction on w-axis. * * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float * @note Leftover vector size has to be passed at compile time using -DVEC_SIZE_LEFTOVER. e.g. -DVEC_SIZE_LEFTOVER=3. It is defined as the remainder between the input's first dimension and VEC_SIZE * @note The batch size must be passed at compile time using -DBATCH e.g. -DBATCH=128 * @note The depth size must be passed at compile time using -DBATCH e.g. -DDEPTH=128 * * @param[in] input_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/S32/F16/F32 * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) * @param[in] input_stride_w Stride of the source tensor in W dimension (in bytes) * @param[in] input_step_w input_stride_w * number of elements along W processed per workitem(in bytes) * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: U32/S32 * @param[in] output_stride_x Stride of the output tensor in X dimension (in bytes) * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] output_stride_y Stride of the output tensor in Y dimension (in bytes) * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] output_stride_z Stride of the output tensor in Z dimension (in bytes) * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) * @param[in] output_stride_w Stride of the output tensor in W dimension (in bytes) * @param[in] output_step_w output_stride_w * number of elements along W processed per workitem(in bytes) * @param[in] output_offset_first_element_in_bytes The offset of the first element in the source tensor */ __kernel void arg_min_max_w( TENSOR4D_DECLARATION(input), TENSOR4D_DECLARATION(output)) { const int x_offs = max((int)(get_global_id(0) * VEC_SIZE - (VEC_SIZE - VEC_SIZE_LEFTOVER) % VEC_SIZE), 0); __global uchar *input_addr = input_ptr + input_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) + get_global_id(1) * input_stride_y + (get_global_id(2) % DEPTH) * input_stride_z + (get_global_id(2) / DEPTH) * input_stride_w; __global uchar *output_addr = output_ptr + output_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE_OUTPUT) + get_global_id(1) * output_stride_y + (get_global_id( 2) % DEPTH) * output_stride_z + (get_global_id(2) / DEPTH) * output_stride_w; VEC_TYPE_IN res = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input_addr), VEC_TYPE_IN); VEC_TYPE_OUT indx0 = 0; for(DATA_TYPE_OUTPUT w = 1; w < BATCH; ++w) { VEC_TYPE_IN in = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(input_addr + w * input_stride_w)), VEC_TYPE_IN); VEC_TYPE_OUT cond_conv = CONVERT(CONDITION_TO_USE(in, res), VEC_TYPE_OUT); indx0 = select(indx0, (VEC_TYPE_OUT)w, cond_conv); res = select(res, in, CONDITION_TO_USE(in, res)); } // Store result STORE_VECTOR_SELECT(indx, DATA_TYPE_OUTPUT, output_addr, VEC_SIZE, VEC_SIZE_LEFTOVER, VEC_SIZE_LEFTOVER != 0 && get_global_id(0) == 0); } #endif /* defined(BATCH) && defined(DEPTH) */ #endif // defined(VEC_SIZE) && defined(DATA_TYPE) && defined(DATA_TYPE_OUTPUT)