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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright (c) 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(ELEMENT_DATA_TYPE) && defined(DEPTH_OUT)
/** Extracts a strided slice up to 4-dimensions
*
* @note Datatype should be given as a preprocessor argument using -DELEMENT_DATA_TYPE=type. e.g. -DELEMENT_DATA_TYPE=short
* @attention Output tensor depth should be given as a preprocessor argument using -DDEPTH_OUT=size. e.g. -DDEPTH_OUT=16
*
* @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 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_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
* @param[in] starts The stride of X dimension of input tensor to be sliced. Supported data types: S32
* @param[in] strides The stride of Y dimension of input tensor to be sliced. Supported data types: S32
*/
__kernel void strided_slice_ex(TENSOR4D_DECLARATION(input),
TENSOR4D_DECLARATION(output),
const int4 starts,
const int4 strides)
{
Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT(input, 0);
Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT(output, DEPTH_OUT);
int4 indices_in =
{
starts.x + (strides.x * get_global_id(0)),
starts.y + (strides.y * get_global_id(1)),
starts.z + (strides.z * (get_global_id(2) % DEPTH_OUT)),
starts.w + (strides.w * (get_global_id(2) / DEPTH_OUT)),
};
*((__global ELEMENT_DATA_TYPE *)out.ptr) = *((__global ELEMENT_DATA_TYPE *)tensor4D_offset(&in, indices_in.x, indices_in.y, indices_in.z, indices_in.w));
}
#endif // defined(ELEMENT_DATA_TYPE) && defined(DEPTH_OUT)
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