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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 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)
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