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/*
 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
 * Copyright (c) 2016-2018 ARM Limited.
 *
 * 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.
 */
#include "helpers.h"

#ifndef VEC_SIZE
#define VEC_SIZE 1
#endif

#if defined(DATA_TYPE)
/** Returns true value of squared_difference of two tensors.
 *
 * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float
 * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
 * @note Can only take floating point data types.
 *
 * @param[in]  input1_ptr                            Pointer to the source image. Supported data types: F16/F32
 * @param[in]  input1_stride_x                       Stride of the source image in X dimension (in bytes)
 * @param[in]  input1_step_x                         input1_stride_x * number of elements along X processed per workitem(in bytes)
 * @param[in]  input1_stride_y                       Stride of the source image in Y dimension (in bytes)
 * @param[in]  input1_step_y                         input1_stride_y * number of elements along Y processed per workitem(in bytes)
 * @param[in]  input1_stride_z                       Stride of the source tensor in Z dimension (in bytes)
 * @param[in]  input1_step_z                         input1_stride_z * number of elements along Z processed per workitem(in bytes)
 * @param[in]  input1_offset_first_element_in_bytes  The offset of the first element in the source image
 *
 * @param[in]  input2_ptr                            Pointer to the source image. Supported data types: F16/F32
 * @param[in]  input2_stride_x                       Stride of the source image in X dimension (in bytes)
 * @param[in]  input2_step_x                         input2_stride_x * number of elements along X processed per workitem(in bytes)
 * @param[in]  input2_stride_y                       Stride of the source image in Y dimension (in bytes)
 * @param[in]  input2_step_y                         input2_stride_y * number of elements along Y processed per workitem(in bytes)
 * @param[in]  input2_stride_z                       Stride of the source tensor in Z dimension (in bytes)
 * @param[in]  input2_step_z                         input2_stride_z * number of elements along Z processed per workitem(in bytes)
 * @param[in]  input2_offset_first_element_in_bytes  The offset of the first element in the source image
 *
 * @param[out] output_ptr                            Pointer to the destination image. Supported data types: F16/F32
 * @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_offset_first_element_in_bytes The offset of the first element in the destination image
 */
__kernel void squared_difference(
    TENSOR3D_DECLARATION(input1),
    TENSOR3D_DECLARATION(input2),
    TENSOR3D_DECLARATION(output))
{
    Tensor3D input1  = CONVERT_TO_TENSOR3D_STRUCT(input1);
    Tensor3D input2  = CONVERT_TO_TENSOR3D_STRUCT(input2);
    Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);

    VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
    diff = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input1.ptr)- VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input2.ptr);

    VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
    sq_diff = diff * diff;

    VSTORE(VEC_SIZE)
    (sq_diff, 0, (__global DATA_TYPE *)output.ptr);
}
#endif // defined(DATA_TYPE)