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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright (c) 2016, 2017 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"
#ifdef SATURATE
#define CONVERT_OP_FLOAT_STR(x, type, round) (convert_##type##_sat##round(x))
#else /* SATURATE */
#define CONVERT_OP_FLOAT_STR(x, type, round) (convert_##type##round(x))
#endif /* SATURATE */
#define CONVERT_OP_FLOAT(x, type, round) CONVERT_OP_FLOAT_STR(x, type, round)
/** Performs a pixelwise division with float scale of either integer or float inputs.
*
* @attention The inputs and output data types need to be passed at compile time using -DDATA_TYPE_IN1, -DDATA_TYPE_IN2 and -DDATA_TYPE_OUT:
* e.g. -DDATA_TYPE_IN1=uchar -DDATA_TYPE_IN2=ushort -DDATA_TYPE_OUT=short
* @attention The data type of the intermediate result of the division should passed as well using -DDATA_TYPE_RES.
* e.g. If one of inputs is S16 -DDATA_TYPE_RES=int should be passed else -DDATA_TYPE_RES=short.
* @attention -DDATA_TYPE_FLOAT must be passed if floating point inputs are provided.
*
* @param[in] in1_ptr Pointer to the source image. Supported data types: U8, S16, F16, F32
* @param[in] in1_stride_x Stride of the source image in X dimension (in bytes)
* @param[in] in1_step_x in1_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] in1_stride_y Stride of the source image in Y dimension (in bytes)
* @param[in] in1_step_y in1_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] in1_stride_z Stride of the source image in Y dimension (in bytes)
* @param[in] in1_step_z in1_stride_z * number of elements along Y processed per workitem(in bytes)
* @param[in] in1_offset_first_element_in_bytes The offset of the first element in the source image
* @param[in] in2_ptr Pointer to the source image. Supported data types: U8, S16, F16, F32
* @param[in] in2_stride_x Stride of the source image in X dimension (in bytes)
* @param[in] in2_step_x in2_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] in2_stride_y Stride of the source image in Y dimension (in bytes)
* @param[in] in2_step_y in2_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] in2_stride_z Stride of the source image in Y dimension (in bytes)
* @param[in] in2_step_z in2_stride_z * number of elements along Y processed per workitem(in bytes)
* @param[in] in2_offset_first_element_in_bytes The offset of the first element in the source image
* @param[out] out_ptr Pointer to the destination image. Supported data types: U8, S16, F16, F32
* @param[in] out_stride_x Stride of the destination image in X dimension (in bytes)
* @param[in] out_step_x out_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] out_stride_y Stride of the destination image in Y dimension (in bytes)
* @param[in] out_step_y out_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] out_stride_z Stride of the destination image in Y dimension (in bytes)
* @param[in] out_step_z out_stride_z * number of elements along Y processed per workitem(in bytes)
* @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination image
* @param[in] scale Float scaling factor. Supported data types: F32
*/
__kernel void pixelwise_div_float(
TENSOR3D_DECLARATION(in1),
TENSOR3D_DECLARATION(in2),
TENSOR3D_DECLARATION(out),
const float scale)
{
// Get pixels pointer
Tensor3D in1 = CONVERT_TO_TENSOR3D_STRUCT(in1);
Tensor3D in2 = CONVERT_TO_TENSOR3D_STRUCT(in2);
Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(out);
// Load data
VEC_DATA_TYPE(DATA_TYPE_RES, 16)
in1_data = CONVERT(vload16(0, (__global DATA_TYPE_IN1 *)in1.ptr), VEC_DATA_TYPE(DATA_TYPE_RES, 16));
VEC_DATA_TYPE(DATA_TYPE_RES, 16)
in2_data = CONVERT(vload16(0, (__global DATA_TYPE_IN2 *)in2.ptr), VEC_DATA_TYPE(DATA_TYPE_RES, 16));
// Perform division
#ifdef DATA_TYPE_FLOAT
VEC_DATA_TYPE(DATA_TYPE_OUT, 16)
res = CONVERT(in1_data / in2_data * (DATA_TYPE_RES)scale, VEC_DATA_TYPE(DATA_TYPE_OUT, 16));
#else /* DATA_TYPE_FLOAT */
VEC_DATA_TYPE(DATA_TYPE_OUT, 16)
res = CONVERT_OP_FLOAT(CONVERT_OP_FLOAT((convert_float16(in1_data / in2_data) * scale), VEC_DATA_TYPE(DATA_TYPE_RES, 16), ROUND), VEC_DATA_TYPE(DATA_TYPE_OUT, 16), ROUND);
#endif /* DATA_TYPE_FLOAT */
// Store result
vstore16(res, 0, (__global DATA_TYPE_OUT *)out.ptr);
}
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