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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"
#define SUB(x, y) (x) - (y)
#if defined(OFF_IN) && defined(OFF_ALPHA) && defined(OFF_OUT) && defined(SCALE_IN) && \
defined(SCALE_ALPHA) && defined(SCALE_OUT) && defined(VEC_SIZE)
#define VEC_FLOAT VEC_DATA_TYPE(float, VEC_SIZE)
#define VEC_INT VEC_DATA_TYPE(int, VEC_SIZE)
#define VEC_UCHAR VEC_DATA_TYPE(uchar, VEC_SIZE)
#define CONVERT_RTE(x, type) (convert_##type##_rte((x)))
#define CONVERT_DOWN(x, type) CONVERT_RTE(x, type)
#define SELECT_TYPE VEC_INT
/** 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_IN compile flag, e.g.
* -DDATA_TYPE_IN=uchar
* @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g.
* -DVEC_SIZE=16
* @note Can only take uchar data types.
*
* @param[in] input1_ptr Pointer to the source image. Supported Data
* types : QASYMM8
* @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 : QASYMM8
* @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_qasymm8(TENSOR3D_DECLARATION(input), TENSOR3D_DECLARATION(alpha),
TENSOR3D_DECLARATION(output))
{
// Get pixels pointer
Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input);
Tensor3D alpha = CONVERT_TO_TENSOR3D_STRUCT(alpha);
Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);
VEC_INT in_vec = CONVERT(VLOAD(VEC_SIZE)(0, (__global uchar *)input.ptr), VEC_INT);
VEC_INT alpha_vec = CONVERT(VLOAD(VEC_SIZE)(0, (__global uchar *)alpha.ptr), VEC_INT);
in_vec = SUB(in_vec, (VEC_INT)((int)OFF_IN));
alpha_vec = SUB(alpha_vec, (VEC_INT)((int)OFF_ALPHA));
const VEC_FLOAT inf32 = CONVERT(in_vec, VEC_FLOAT) * (VEC_FLOAT)((float)SCALE_IN);
const VEC_FLOAT alphaf32 = CONVERT(alpha_vec, VEC_FLOAT) * (VEC_FLOAT)((float)SCALE_ALPHA);
const VEC_FLOAT outf32 =
select(inf32, inf32 * alphaf32, CONVERT(inf32 < (VEC_FLOAT)0, SELECT_TYPE));
const VEC_FLOAT qresf32 = outf32 / ((VEC_FLOAT)(float)SCALE_OUT) + ((VEC_FLOAT)((float)OFF_OUT));
const VEC_UCHAR res = CONVERT_SAT(CONVERT_DOWN(qresf32, VEC_INT), VEC_UCHAR);
VSTORE(VEC_SIZE)
(res, 0, (__global uchar *)output.ptr);
}
#endif // defined(OFF_IN) && defined(OFF_ALPHA) && defined(OFF_OUT) && defined(SCALE_IN) &&
// defined(SCALE_ALPHA) && defined(SCALE_OUT) && defined(VEC_SIZE)
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