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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"
#if defined(DATA_TYPE) && defined(DEPTH_IN) && defined(BLOCK_SIZE)
/** Perform space to depth rearrangement of tensor
*
* @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float
* @attention Input tensor depth should be given as a preprocessor argument using -DDEPTH_IN=size. e.g. -DDEPTH_IN=16
* @attention block size should be given as a preprocessor argument using -DBLOCK_SIZE=size. e.g. -DBLOCK_SIZE=1
*
* @param[in] input_ptr Pointer to the source image. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
* @param[in] input_stride_x Stride of the source image in X dimension (in bytes)
* @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] input_stride_y Stride of the source image in Y dimension (in bytes)
* @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] input_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 inpu
t_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_stride_w Stride of the source tensor in W dimension (in bytes)
* @param[in] output_step_w output_stride_w * number of elements along W 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 space_to_depth(
TENSOR4D_DECLARATION(input),
TENSOR4D_DECLARATION(output))
{
Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT(input, DEPTH_IN);
Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(output, 0);
int out_index[4]={0};
int in_index[4]={0};
in_index[0] = get_global_id(0);//W
in_index[1] = get_global_id(1);//H
in_index[2] = get_global_id(2) % DEPTH_IN;//C
in_index[3] = get_global_id(2) / DEPTH_IN;//B
out_index[0] = in_index[0]/BLOCK_SIZE;
out_index[1] = in_index[1]/BLOCK_SIZE;
out_index[2] = in_index[2] + ((in_index[1] % BLOCK_SIZE) * BLOCK_SIZE + in_index[0] % BLOCK_SIZE) * DEPTH_IN;
out_index[3] = in_index[3];
*((__global DATA_TYPE *)tensor4D_offset(&out, out_index[0],out_index[1],out_index[2],out_index[3])) = *((__global DATA_TYPE *)in.ptr);
}
#endif // defined(DATA_TYPE) && defined(DEPTH_IN) && defined(BLOCK_SIZE)
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