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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/*
* Copyright (c) 2017 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(DATA_TYPE) && defined(DEPTH_OUT) && defined(OP_CODE)
/** Perform arg_max/arg_min
*
* @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type.
* e.g. -DDATA_TYPE=short
* @attention Output tensor depth should be given as a preprocessor argument using -DDEPTH_OUT=size.
* e.g. -DDEPTH_OUT=16
* @attention Operation type(code) specifying which operation to perform should be passed as
* preprocessor argument using -DOP_CODE = number. e.g. -DOP_CODE=1
*
* @param[in] input_ptr Pointer to the source image. Supported data
* types:
* U8/QASYMM8/S8/U16/S16/F16/U32/S32/F32
* @param[in] input_stride_x Stride of the source image 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 image 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 image
* @param[in] input_stride_w Stride of the source tensor in W dimension
* (in bytes)
* @param[in] input_step_w output_stride_w * number of elements along W
* processed per workitem(in bytes)
* @param[out] output_ptr Pointer to the destination image.
* Supported data types: U32
* @param[in] output_stride_x Stride of the destination image 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 destination image 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 source 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 source 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
* destination image
* @param[in] axis Axis through which reduction occurs
* @param[in] dim Dimension across the axis to be reduced.
*/
__kernel void arg_op(TENSOR4D_DECLARATION(input), TENSOR4D_DECLARATION(output), const int axis,
const int dim)
{
Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT(input, 0);
Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT(output, DEPTH_OUT);
int indices[4] = {
get_global_id(0), get_global_id(1), get_global_id(2) % DEPTH_OUT,
get_global_id(2) / DEPTH_OUT,
};
DATA_TYPE value =
*((__global DATA_TYPE *)tensor4D_offset(&in, indices[0], indices[1], indices[2], indices[3]));
DATA_TYPE tval = value;
int idx = 0;
for (int i = 1; i < dim; ++i)
{
indices[axis] = i;
#if OP_CODE == 1 // ArgMax
value = max(value, *((__global DATA_TYPE *)tensor4D_offset(&in, indices[0], indices[1],
indices[2], indices[3])));
#elif OP_CODE == 2 // ArgMin
value = min(value, *((__global DATA_TYPE *)tensor4D_offset(&in, indices[0], indices[1],
indices[2], indices[3])));
#else
return;
#endif
if (tval != value)
{
idx = indices[axis];
tval = value;
}
}
*((__global uint *)out.ptr) = idx;
}
#endif // defined(DATA_TYPE) && defined(DEPTH_OUT) && defined(OP_CODE)
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