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/*
* Copyright (c) 2018-2020 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "helpers.h"
#if defined(DATA_TYPE) && defined(VEC_SIZE) && defined(VEC_SIZE_LEFTOVER)
/** Performs a copy of input tensor to the output tensor.
*
* @note The following variables must be passed at compile time:
* -# -DDATA_TYPE : Input and output datatypes.
* -# -DVEC_SIZE : The number of elements processed in X dimension
* -# -DVEC_SIZE_LEFTOVER: Leftover size in the X dimension; x_dimension % VEC_SIZE
*
* @param[in] in_ptr Pointer to the source tensor. Supported data types: All
* @param[in] in_stride_x Stride of the source tensor in X dimension (in bytes)
* @param[in] in_step_x input_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] in_stride_y Stride of the source tensor in Y dimension (in bytes)
* @param[in] in_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] in_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] in_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] in_offset_first_element_in_bytes The offset of the first element in the source tensor
* @param[out] out_ptr Pointer to the destination tensor. Supported data types: same as @p in_ptr
* @param[in] out_stride_x Stride of the destination tensor in X dimension (in bytes)
* @param[in] out_step_x output_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] out_stride_y Stride of the destination tensor in Y dimension (in bytes)
* @param[in] out_step_y output_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] out_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] out_step_z output_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination tensor
*/
__kernel void copy_tensor(
TENSOR3D_DECLARATION(in),
TENSOR3D_DECLARATION(out))
{
Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(in);
Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(out);
// Boundary-aware access:
// If the there's left-over in width (VEC_SIZE_LEFTOVER > 0):
// Shift all accesses other than the first to avoid accessing out of bounds
const int shift = max((int)(get_global_id(0) * VEC_SIZE) - (int)VEC_SIZE_LEFTOVER, 0) % VEC_SIZE;
in.ptr -= shift * in.stride_x;
out.ptr -= shift * out.stride_x;
// Load data
VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
data0 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)in.ptr);
// Boundary-aware store
STORE_VECTOR_SELECT(data, DATA_TYPE, (__global DATA_TYPE *)out.ptr, VEC_SIZE, VEC_SIZE_LEFTOVER, VEC_SIZE_LEFTOVER != 0 && get_global_id(0) == 0);
}
#endif // defined(DATA_TYPE) && defined(VEC_SIZE) && defined(VEC_SIZE_LEFTOVER)
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