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Diffstat (limited to 'src/core/CL/cl_kernels/arg_min_max.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/arg_min_max.cl | 451 |
1 files changed, 0 insertions, 451 deletions
diff --git a/src/core/CL/cl_kernels/arg_min_max.cl b/src/core/CL/cl_kernels/arg_min_max.cl deleted file mode 100644 index 6e57ed0af1..0000000000 --- a/src/core/CL/cl_kernels/arg_min_max.cl +++ /dev/null @@ -1,451 +0,0 @@ -/* - * 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)
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