/* * 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)