| /* |
| * Copyright (c) 2018-2021, 2023-2024 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(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(SRC_DEPTH) && defined(DST_DEPTH) |
| /** Perform a floor operation on an input tensor. |
| * |
| * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float |
| * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 |
| * @note Can only take floating point data types. |
| * |
| * @param[in] input_ptr Pointer to the source image. Supported data types: All |
| * @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_offset_first_element_in_bytes The offset of the first element in the destination image |
| */ |
| __kernel void tile( |
| TENSOR4D_DECLARATION(input), |
| TENSOR4D_DECLARATION(output)) |
| { |
| Tensor4D output = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(output); |
| Tensor4D input = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input); |
| |
| // For all coordinates but x, each tile copies from the input |
| const int y = get_global_id(1); |
| const int z = get_global_id(2) % DST_DEPTH; |
| const int batch = get_global_id(2) / DST_DEPTH; |
| |
| #if defined(VEC_SIZE) && defined(OFFSET) |
| // If we are loading/storing multiple elements at time, we need to |
| // not exceed the input boundaries. The last threads need to backtrack |
| // of OFFSET elements. Those elements cumulates for previous tiles |
| |
| const int id = (int)(get_global_id(0)); |
| const int multiple_no = id / SRC_WIDTH_TILES; |
| const int tile_no = id % SRC_WIDTH_TILES; |
| const int last_tile = (int)(tile_no == SRC_WIDTH_TILES - 1); |
| |
| const int x_input = tile_no * VEC_SIZE - last_tile * OFFSET; |
| const int x_output = multiple_no * SRC_WIDTH + x_input; |
| |
| // Update the input and output pointers. |
| input.ptr = tensor4D_offset(&input, x_input, y % SRC_HEIGHT, z % SRC_DEPTH, batch % SRC_BATCHES); |
| output.ptr = tensor4D_offset(&output, x_output, y, z, batch); |
| |
| // Copy the data |
| VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) |
| data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr); |
| |
| VSTORE(VEC_SIZE) |
| (data, 0, (__global DATA_TYPE *)output.ptr); |
| #else // !defined(VEC_SIZE) || !defined(OFFSET) |
| const int x = get_global_id(0); |
| |
| // Update the input and output pointers. |
| input.ptr = tensor4D_offset(&input, x % SRC_WIDTH, y % SRC_HEIGHT, z % SRC_DEPTH, batch % SRC_BATCHES); |
| output.ptr = tensor4D_offset(&output, x, y, z, batch); |
| |
| *((__global DATA_TYPE *)(output.ptr)) = *((__global DATA_TYPE *)(input.ptr)); |
| #endif // defined(VEC_SIZE) && defined(OFFSET) |
| } |
| #endif // defined(DATA_TYPE) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(SRC_DEPTH) && defined(DST_DEPTH) |