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/*
* Copyright (c) 2019-2020 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(FLOAT_DATA_TYPE)
#define ISGREATER(x, y) isgreater(x, y)
#define ISLESS(x, y) 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_DATA_TYPE(DATA_TYPE_SELECT, 16))0, (VEC_DATA_TYPE(DATA_TYPE_SELECT, 16)) - 1, x > y)
#define ISLESS(x, y) select((VEC_DATA_TYPE(DATA_TYPE_SELECT, 16))0, (VEC_DATA_TYPE(DATA_TYPE_SELECT, 16)) - 1, 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(DATA_TYPE_OUTPUT) && defined(DATA_TYPE_SELECT)
#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 };
VEC_DATA_TYPE(DATA_TYPE_SELECT, 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), VEC_DATA_TYPE(DATA_TYPE_SELECT, 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), VEC_DATA_TYPE(DATA_TYPE_SELECT, 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), DATA_TYPE_SELECT));
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 };
VEC_DATA_TYPE(DATA_TYPE_SELECT, 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), VEC_DATA_TYPE(DATA_TYPE_SELECT, 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), VEC_DATA_TYPE(DATA_TYPE_SELECT, 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), DATA_TYPE_SELECT));
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 The data type of the output must be passed at compile time using -DDATA_TYPE_OUTPUT: e.g. -DDATA_TYPE_OUTPUT=uint
* @note The data type of the select results must be passed at compile time using -DDATA_TYPE_SELECT: e.g. -DDATA_TYPE_SELECT=int
* @note The height size must be passed at compile time using -DHEIGHT e.g. -DHEIGHT=128
*
* @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] 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(src),
IMAGE_DECLARATION(output))
{
Image src = CONVERT_TO_IMAGE_STRUCT(src);
Image output = CONVERT_TO_IMAGE_STRUCT(output);
VEC_DATA_TYPE(DATA_TYPE, 16)
res = CONVERT(vload16(0, (__global DATA_TYPE *)offset(&src, 0, 0)), VEC_DATA_TYPE(DATA_TYPE, 16));
VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16)
indx = 0;
for(unsigned int y = 1; y < HEIGHT; ++y)
{
VEC_DATA_TYPE(DATA_TYPE, 16)
in = CONVERT(vload16(0, (__global DATA_TYPE *)offset(&src, 0, y)), VEC_DATA_TYPE(DATA_TYPE, 16));
VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16)
cond_conv = CONVERT(CONDITION_TO_USE(in, res), VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16));
indx = select(indx, y, cond_conv);
res = select(res, in, CONDITION_TO_USE(in, res));
}
// Store result
vstore16(indx, 0, (__global DATA_TYPE_OUTPUT *)output.ptr);
}
#endif // defined(HEIGHT)
#if defined(DEPTH)
/** 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 The data type of the select results must be passed at compile time using -DDATA_TYPE_SELECT: e.g. -DDATA_TYPE_SELECT=int
* @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))
{
Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input);
Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);
VEC_DATA_TYPE(DATA_TYPE, 16)
res = CONVERT(vload16(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, 0, 0)), VEC_DATA_TYPE(DATA_TYPE, 16));
VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16)
indx = 0;
for(DATA_TYPE_OUTPUT z = 1; z < DEPTH; ++z)
{
VEC_DATA_TYPE(DATA_TYPE, 16)
in = CONVERT(vload16(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, 0, z)), VEC_DATA_TYPE(DATA_TYPE, 16));
VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16)
cond_conv = CONVERT(CONDITION_TO_USE(in, res), VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16));
indx = select(indx, z, cond_conv);
res = select(res, in, CONDITION_TO_USE(in, res));
}
// Store result
vstore16(indx, 0, (__global DATA_TYPE_OUTPUT *)output.ptr);
}
#endif /* defined(DEPTH) */
#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 The data type of the select results must be passed at compile time using -DDATA_TYPE_SELECT: e.g. -DDATA_TYPE_SELECT=int
* @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))
{
Tensor4D input = CONVERT_TO_TENSOR4D_STRUCT(input, DEPTH);
Tensor4D output = CONVERT_TO_TENSOR4D_STRUCT(output, DEPTH);
VEC_DATA_TYPE(DATA_TYPE, 16)
res = CONVERT(vload16(0, (__global DATA_TYPE *)tensor4D_offset(&input, 0, 0, 0, 0)), VEC_DATA_TYPE(DATA_TYPE, 16));
VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16)
indx = 0;
for(DATA_TYPE_OUTPUT w = 1; w < BATCH; ++w)
{
VEC_DATA_TYPE(DATA_TYPE, 16)
in = CONVERT(vload16(0, (__global DATA_TYPE *)tensor4D_offset(&input, 0, 0, 0, w)), VEC_DATA_TYPE(DATA_TYPE, 16));
VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16)
cond_conv = CONVERT(CONDITION_TO_USE(in, res), VEC_DATA_TYPE(DATA_TYPE_OUTPUT, 16));
indx = select(indx, w, cond_conv);
res = select(res, in, CONDITION_TO_USE(in, res));
}
// Store result
vstore16(indx, 0, (__global DATA_TYPE_OUTPUT *)output.ptr);
}
#endif /* defined(BATCH) && defined(DEPTH) */
#endif /* defined(DATA_TYPE_OUTPUT) && defined(DATA_TYPE_SELECT) */
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