1/* 2 * Copyright (c) 2018-2021 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#if defined(DATA_TYPE) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(SRC_DEPTH) && defined(DST_DEPTH) 26/** Perform a floor operation on an input tensor. 27 * 28 * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float 29 * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 30 * @note Can only take floating point data types. 31 * 32 * @param[in] input_ptr Pointer to the source image. Supported data types: All 33 * @param[in] input_stride_x Stride of the source image in X dimension (in bytes) 34 * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) 35 * @param[in] input_stride_y Stride of the source image in Y dimension (in bytes) 36 * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) 37 * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) 38 * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) 39 * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source image 40 * @param[out] output_ptr Pointer to the destination image. Supported data types: same as @p input_ptr 41 * @param[in] output_stride_x Stride of the destination image in X dimension (in bytes) 42 * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) 43 * @param[in] output_stride_y Stride of the destination image in Y dimension (in bytes) 44 * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) 45 * @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes) 46 * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) 47 * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination image 48 */ 49__kernel void tile( 50 TENSOR4D_DECLARATION(input), 51 TENSOR4D_DECLARATION(output)) 52{ 53 Tensor4D output = CONVERT_TO_TENSOR4D_STRUCT(output, DST_DEPTH); 54 Tensor4D input = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, SRC_DEPTH); 55 56 // For all coordinates but x, each tile copies from the input 57 const int y = get_global_id(1); 58 const int z = get_global_id(2) % DST_DEPTH; 59 const int batch = get_global_id(2) / DST_DEPTH; 60 61#if defined(VEC_SIZE) && defined(OFFSET) 62 // If we are loading/storing multiple elements at time, we need to 63 // not exceed the input boundaries. The last threads need to backtrack 64 // of OFFSET elements. Those elements cumulates for previous tiles 65 const int id = (int)(get_global_id(0)); 66 int x = id * VEC_SIZE; 67 68 // Shift x based on the previous offsets 69 const int tile_number = x / SRC_WIDTH; 70 x -= (tile_number) * OFFSET; 71 int x_input = x % SRC_WIDTH; 72 73 // Shift x based on being the last tile 74 const int last_tile = (int)(x_input + VEC_SIZE > SRC_WIDTH); 75 x -= last_tile * OFFSET; 76 x_input = x % SRC_WIDTH; 77 output.ptr -= (tile_number + last_tile) * OFFSET * output_stride_x; 78 79 // Update the input pointer 80 input.ptr = tensor4D_offset(&input, x_input, y % SRC_HEIGHT, z % SRC_DEPTH, batch % SRC_BATCHES); 81 82 // Copy the data 83 VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) 84 data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr); 85 86 VSTORE(VEC_SIZE) 87 (data, 0, (__global DATA_TYPE *)output.ptr); 88#else // !defined(VEC_SIZE) || !defined(OFFSET) 89 const int x = get_global_id(0); 90 91 // Update the input pointer 92 input.ptr = tensor4D_offset(&input, x % SRC_WIDTH, y % SRC_HEIGHT, z % SRC_DEPTH, batch % SRC_BATCHES); 93 94 *((__global DATA_TYPE *)(output.ptr)) = *((__global DATA_TYPE *)(input.ptr)); 95#endif // defined(VEC_SIZE) && defined(OFFSET) 96} 97#endif // defined(DATA_TYPE) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(SRC_DEPTH) && defined(DST_DEPTH) 98