1/* 2 * Copyright (c) 2017-2022 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24#include "helpers.h" 25 26/** Perform tensor reshape 27 * 28 * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short 29 * 30 * @param[in] input_ptr Pointer to the first source tensor. Supported data types: All 31 * @param[in] input_stride_x Stride of the first source tensor in X dimension (in bytes) 32 * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) 33 * @param[in] input_stride_y Stride of the first source tensor in Y dimension (in bytes) 34 * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) 35 * @param[in] input_stride_z Stride of the first source tensor in Z dimension (in bytes) 36 * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) 37 * @param[in] input_offset_first_element_in_bytes The offset of the first element in the first source tensor 38 * @param[out] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr 39 * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) 40 * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) 41 * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes) 42 * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) 43 * @param[in] output_stride_z Stride of the destination tensor in Z dimension (in bytes) 44 * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) 45 * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor 46 * @param[in] input_shape Input spatial shape 47 * @param[in] output_shape Output spatial shape 48 */ 49__kernel void reshape_layer(TENSOR3D_DECLARATION(input), 50 TENSOR3D_DECLARATION(output), 51 int2 input_shape, 52 int2 output_shape) 53{ 54 int out_x = get_global_id(0); 55 int out_y = get_global_id(1); 56 int out_z = get_global_id(2); 57 58 // Compute the output linearized index 59 int out_linear_idx = out_x + out_y * output_shape.x + out_z * output_shape.x * output_shape.y; 60 61 // Translate to intput 62 int in_x = out_linear_idx % input_shape.x; 63 int in_y = (out_linear_idx / input_shape.x) % input_shape.y; 64 int in_z = out_linear_idx / (input_shape.x * input_shape.y); 65 66 // Store result 67 input_ptr += input_offset_first_element_in_bytes + in_x * input_stride_x + in_y * input_stride_y + in_z * input_stride_z; 68 output_ptr += output_offset_first_element_in_bytes + out_x * output_stride_x + out_y * output_stride_y + out_z * output_stride_z; 69 *((__global DATA_TYPE *)output_ptr) = *((__global DATA_TYPE *)input_ptr); 70} 71