Michalis Spyrou | 649962c | 2019-05-22 11:11:55 +0100 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2019-2020 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 | |
| 26 | #if defined(DATA_TYPE) && defined(BLOCK_SHAPE) && defined(CHANNEL_SIZE) |
| 27 | /** Batch to space transformation. (NCHW) |
| 28 | * |
| 29 | * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float |
| 30 | * @note The input tensor batch size must be passed at compile time using -DCHANNEL_SIZE. e.g. -DCHANNEL_SIZE=2 |
| 31 | * @note The block shape must be passed at compile time using -DBLOCK_SHAPE. e.g. -DBLOCK_SHAPE=2 |
| 32 | * |
Michele Di Giorgio | cbbed28 | 2019-12-20 13:26:08 +0000 | [diff] [blame] | 33 | * @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] | 34 | * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| 35 | * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| 36 | * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 37 | * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| 38 | * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 39 | * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| 40 | * @param[in] input_offset_first_element_in_bytes The offset of the first element in the first source tensor |
| 41 | * @param[in] batch_id The input tensor batch id |
| 42 | * @param[out] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr |
| 43 | * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 44 | * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) |
| 45 | * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 46 | * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) |
| 47 | * @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 48 | * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) |
| 49 | * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 50 | */ |
| 51 | __kernel void depth_to_space_nchw( |
| 52 | TENSOR3D_DECLARATION(input), |
| 53 | const int batch_id, |
| 54 | TENSOR4D_DECLARATION(output)) |
| 55 | { |
| 56 | Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(input); |
| 57 | Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(output, 0); |
| 58 | |
| 59 | const int r = (CHANNEL_SIZE / (BLOCK_SHAPE * BLOCK_SHAPE)); |
| 60 | const int x = get_global_id(0); |
| 61 | const int y = get_global_id(1); |
| 62 | const int z = get_global_id(2) % r; |
| 63 | |
| 64 | const int out_x = x * BLOCK_SHAPE + (get_global_id(2) / r) % BLOCK_SHAPE; |
| 65 | const int out_y = y * BLOCK_SHAPE + (get_global_id(2) / r) / BLOCK_SHAPE; |
| 66 | |
| 67 | *((__global DATA_TYPE *)tensor4D_offset(&out, out_x, out_y, z, batch_id)) = *((__global DATA_TYPE *)in.ptr); |
| 68 | } |
| 69 | /** Batch to space transformation. (NHWC) |
| 70 | * |
| 71 | * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float |
| 72 | * @note The input tensor batch size must be passed at compile time using -DCHANNEL_SIZE. e.g. -DCHANNEL_SIZE=2 |
| 73 | * @note The block shape must be passed at compile time using -DBLOCK_SHAPE. e.g. -DBLOCK_SHAPE=2 |
| 74 | * |
Michele Di Giorgio | cbbed28 | 2019-12-20 13:26:08 +0000 | [diff] [blame] | 75 | * @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] | 76 | * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) |
| 77 | * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) |
| 78 | * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) |
| 79 | * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) |
| 80 | * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 81 | * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) |
| 82 | * @param[in] input_offset_first_element_in_bytes The offset of the first element in the first source tensor |
| 83 | * @param[in] batch_id The input tensor batch id |
| 84 | * @param[out] output_ptr Pointer to the destination tensor. Supported data types: same as @p input_ptr |
| 85 | * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) |
| 86 | * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) |
| 87 | * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| 88 | * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) |
| 89 | * @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 90 | * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) |
| 91 | * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| 92 | */ |
| 93 | __kernel void depth_to_space_nhwc( |
| 94 | TENSOR3D_DECLARATION(input), |
| 95 | const int batch_id, |
| 96 | TENSOR4D_DECLARATION(output)) |
| 97 | { |
| 98 | Tensor3D in = CONVERT_TO_TENSOR3D_STRUCT(input); |
| 99 | Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(output, 0); |
| 100 | |
| 101 | const int r = (CHANNEL_SIZE / (BLOCK_SHAPE * BLOCK_SHAPE)); |
| 102 | const int x = get_global_id(1); |
| 103 | const int y = get_global_id(2); |
| 104 | const int z = get_global_id(0) % r; |
| 105 | |
| 106 | const int out_x = x * BLOCK_SHAPE + (get_global_id(0) / r) % BLOCK_SHAPE; |
| 107 | const int out_y = y * BLOCK_SHAPE + (get_global_id(0) / r) / BLOCK_SHAPE; |
| 108 | |
| 109 | *((__global DATA_TYPE *)tensor4D_offset(&out, z, out_x, out_y, batch_id)) = *((__global DATA_TYPE *)in.ptr); |
| 110 | } |
| 111 | #endif // defined(DATA_TYPE) && defined(BLOCK_SHAPE) && defined(CHANNEL_SIZE) |