Michalis Spyrou | 649962c | 2019-05-22 11:11:55 +0100 | [diff] [blame] | 1 | /* |
Viet-Hoa Do | 6829e02 | 2024-01-16 16:23:24 +0000 | [diff] [blame^] | 2 | * Copyright (c) 2018-2021, 2023-2024 Arm Limited. |
Michalis Spyrou | 649962c | 2019-05-22 11:11:55 +0100 | [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 | |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 26 | #if defined(DATA_TYPE) && defined(BATCH_SIZE) |
| 27 | /** Batch to space transformation. (NHWC) |
Michalis Spyrou | 649962c | 2019-05-22 11:11:55 +0100 | [diff] [blame] | 28 | * |
| 29 | * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 30 | * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float |
| 31 | * @note The input tensor batch size must be passed at compile time using -DBATCH_SIZE. e.g. -DBATCH_SIZE=2 |
Michalis Spyrou | 649962c | 2019-05-22 11:11:55 +0100 | [diff] [blame] | 32 | * |
Omar Al Khatib | fff9a4c | 2023-03-28 11:14:29 +0100 | [diff] [blame] | 33 | * @deprecated This method for dynamic block shape is not fully mature and will be removed in 23.08 release |
| 34 | * |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 35 | * @param[in] input_ptr Pointer to the source tensor. Supported data types: All |
Michalis Spyrou | 649962c | 2019-05-22 11:11:55 +0100 | [diff] [blame] | 36 | * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| 37 | * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| 38 | * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 39 | * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| 40 | * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 41 | * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| 42 | * @param[in] input_offset_first_element_in_bytes The offset of the first element in the first source tensor |
| 43 | * @param[in] batch_id The input tensor batch id |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 44 | * @param[in] block_shape_ptr Pointer to the source tensor. Supported data types: S32 |
| 45 | * @param[in] block_shape_stride_x Stride of the source tensor in X dimension (in bytes) |
| 46 | * @param[in] block_shape_step_x block_shape_stride_x * number of elements along X processed per workitem(in bytes) |
| 47 | * @param[in] block_shape_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 48 | * @param[in] block_shape_step_y block_shape_stride_y * number of elements along Y processed per workitem(in bytes) |
| 49 | * @param[in] input_offset_first_element_in_bytes The offset of the first element in the first source tensor |
Michalis Spyrou | 649962c | 2019-05-22 11:11:55 +0100 | [diff] [blame] | 50 | * @param[out] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr |
| 51 | * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 52 | * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) |
| 53 | * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 54 | * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) |
| 55 | * @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 56 | * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) |
| 57 | * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 58 | */ |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 59 | __kernel void batch_to_space_nhwc( |
Omar Al Khatib | fff9a4c | 2023-03-28 11:14:29 +0100 | [diff] [blame] | 60 | TENSOR4D_DECLARATION(input), |
Michalis Spyrou | 649962c | 2019-05-22 11:11:55 +0100 | [diff] [blame] | 61 | const int batch_id, |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 62 | VECTOR_DECLARATION(block_shape), |
Omar Al Khatib | fff9a4c | 2023-03-28 11:14:29 +0100 | [diff] [blame] | 63 | TENSOR3D_DECLARATION(output)) |
Michalis Spyrou | 649962c | 2019-05-22 11:11:55 +0100 | [diff] [blame] | 64 | { |
Omar Al Khatib | fff9a4c | 2023-03-28 11:14:29 +0100 | [diff] [blame] | 65 | Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); |
Viet-Hoa Do | 6829e02 | 2024-01-16 16:23:24 +0000 | [diff] [blame^] | 66 | Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input); |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 67 | Vector block = CONVERT_TO_VECTOR_STRUCT_NO_STEP(block_shape); |
Michalis Spyrou | 649962c | 2019-05-22 11:11:55 +0100 | [diff] [blame] | 68 | |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 69 | const int block_x = *((__global int *)vector_offset(&block, 0)); |
| 70 | const int block_y = *((__global int *)vector_offset(&block, 1)); |
Michalis Spyrou | 649962c | 2019-05-22 11:11:55 +0100 | [diff] [blame] | 71 | |
Michalis Spyrou | 649962c | 2019-05-22 11:11:55 +0100 | [diff] [blame] | 72 | const int x = get_global_id(1); |
| 73 | const int y = get_global_id(2); |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 74 | const int z = get_global_id(0); |
Michalis Spyrou | 649962c | 2019-05-22 11:11:55 +0100 | [diff] [blame] | 75 | |
Omar Al Khatib | fff9a4c | 2023-03-28 11:14:29 +0100 | [diff] [blame] | 76 | const int in_batch = batch_id + ((x % block_x) + (y % block_y) * (block_x)) * BATCH_SIZE; |
| 77 | const int in_x = x / block_x; |
| 78 | const int in_y = y / block_y; |
Michalis Spyrou | 649962c | 2019-05-22 11:11:55 +0100 | [diff] [blame] | 79 | |
Omar Al Khatib | fff9a4c | 2023-03-28 11:14:29 +0100 | [diff] [blame] | 80 | *((__global DATA_TYPE *)out.ptr) = *((__global DATA_TYPE *)tensor4D_offset(&in, z, in_x, in_y, in_batch)); |
Michalis Spyrou | 649962c | 2019-05-22 11:11:55 +0100 | [diff] [blame] | 81 | } |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 82 | #endif // defined(DATA_TYPE) && defined(BATCH_SIZE) |
| 83 | |
| 84 | #if defined(DATA_TYPE) && defined(BATCH_SIZE) && defined(BLOCK_SHAPE_X) && defined(BLOCK_SHAPE_Y) |
| 85 | /** Batch to space transformation. (NHWC) |
| 86 | * |
| 87 | * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float |
| 88 | * @note The input tensor batch size must be passed at compile time using -DBATCH_SIZE. e.g. -DBATCH_SIZE=2 |
| 89 | * @note The block shape x must be passed at compile time using -DBLOCK_SHAPE_X. e.g. -DBLOCK_SHAPE_X=2 |
| 90 | * @note The block shape y must be passed at compile time using -DBLOCK_SHAPE_Y. e.g. -DBLOCK_SHAPE_Y=2 |
| 91 | * |
| 92 | * @param[in] input_ptr Pointer to the source tensor. Supported data types: All |
| 93 | * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| 94 | * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| 95 | * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 96 | * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| 97 | * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 98 | * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| 99 | * @param[in] input_offset_first_element_in_bytes The offset of the first element in the first source tensor |
| 100 | * @param[in] batch_id The input tensor batch id |
| 101 | * @param[out] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr |
| 102 | * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 103 | * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) |
| 104 | * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 105 | * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) |
| 106 | * @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 107 | * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) |
| 108 | * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 109 | */ |
| 110 | __kernel void batch_to_space_static_nhwc( |
Omar Al Khatib | fff9a4c | 2023-03-28 11:14:29 +0100 | [diff] [blame] | 111 | TENSOR4D_DECLARATION(input), |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 112 | const int batch_id, |
Omar Al Khatib | fff9a4c | 2023-03-28 11:14:29 +0100 | [diff] [blame] | 113 | TENSOR3D_DECLARATION(output)) |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 114 | { |
Omar Al Khatib | fff9a4c | 2023-03-28 11:14:29 +0100 | [diff] [blame] | 115 | Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); |
Viet-Hoa Do | 6829e02 | 2024-01-16 16:23:24 +0000 | [diff] [blame^] | 116 | Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input); |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 117 | |
| 118 | const int block_x = BLOCK_SHAPE_X; |
| 119 | const int block_y = BLOCK_SHAPE_Y; |
| 120 | |
Omar Al Khatib | fff9a4c | 2023-03-28 11:14:29 +0100 | [diff] [blame] | 121 | const int x = get_global_id(1) + CROP_LEFT; |
| 122 | const int y = get_global_id(2) + CROP_TOP; |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 123 | const int z = get_global_id(0); |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 124 | |
Omar Al Khatib | fff9a4c | 2023-03-28 11:14:29 +0100 | [diff] [blame] | 125 | const int in_batch = batch_id + ((x % block_x) + (y % block_y) * (block_x)) * BATCH_SIZE; |
| 126 | const int in_x = x / block_x; |
| 127 | const int in_y = y / block_y; |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 128 | |
Omar Al Khatib | fff9a4c | 2023-03-28 11:14:29 +0100 | [diff] [blame] | 129 | *((__global DATA_TYPE *)out.ptr) = *((__global DATA_TYPE *)tensor4D_offset(&in, z, in_x, in_y, in_batch)); |
Adnan AlSinan | 7075fe2 | 2021-07-05 13:12:52 +0100 | [diff] [blame] | 130 | } |
Viet-Hoa Do | 6829e02 | 2024-01-16 16:23:24 +0000 | [diff] [blame^] | 131 | #endif // defined(DATA_TYPE) && defined(BATCH_SIZE) && defined(BLOCK_SHAPE_X) && defined(BLOCK_SHAPE_Y) |