giuros01 | 3175fcf | 2018-11-21 09:59:17 +0000 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2018-2020 Arm Limited. |
giuros01 | 3175fcf | 2018-11-21 09:59:17 +0000 | [diff] [blame] | 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 | * |
Sheri Zhang | 0de45d0 | 2020-04-17 14:59:13 +0100 | [diff] [blame] | 32 | * @param[in] input_ptr Pointer to the source image. Supported data types: All |
giuros01 | 3175fcf | 2018-11-21 09:59:17 +0000 | [diff] [blame] | 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) |