/*
 * 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 result of prelu function implemented as below:
 * f(input) = alpha * input for input < 0, f(input) = input for input >= 0.
 *
 * @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]  alpha_ptr                             Pointer to the source image. Supported Data
 *                                                   types : F16/F32
 * @param[in]  alpha_stride_x                        Stride of the source image in X dimension (in
 *                                                   bytes)
 * @param[in]  alpha_step_x                          input2_stride_x * number of elements along X
 *                                                   processed per workitem(in bytes)
 * @param[in]  alpha_stride_y                        Stride of the source image in Y dimension (in
 *                                                   bytes)
 * @param[in]  alpha_step_y                          input2_stride_y * number of elements along Y
 *                                                   processed per workitem(in bytes)
 * @param[in]  alpha_stride_z                        Stride of the source tensor in Z dimension (in
 *                                                   bytes)
 * @param[in]  alpha_step_z                          input2_stride_z * number of elements along Z
 *                                                   processed per workitem(in bytes)
 * @param[in]  alpha_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: same as @p input_ptr
 * @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 prelu(TENSOR3D_DECLARATION(input), TENSOR3D_DECLARATION(alpha),
                    TENSOR3D_DECLARATION(output))
{
  Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input);
  Tensor3D alpha = CONVERT_TO_TENSOR3D_STRUCT(alpha);
  Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);

  VSTORE(VEC_SIZE)
  (VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr) < 0
       ? VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr) *
             VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)alpha.ptr)
       : VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr),
   0, (__global DATA_TYPE *)output.ptr);
}
#endif // defined(DATA_TYPE)