Michalis Spyrou | 780db4e | 2017-11-23 09:49:51 +0000 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | cbbed28 | 2019-12-20 13:26:08 +0000 | [diff] [blame^] | 2 | * Copyright (c) 2017-2020 ARM Limited. |
Michalis Spyrou | 780db4e | 2017-11-23 09:49:51 +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 | |
| 26 | /** This function applies upsample on an input image. |
| 27 | * |
Michele Di Giorgio | cbbed28 | 2019-12-20 13:26:08 +0000 | [diff] [blame^] | 28 | * @param[in] src_ptr Pointer to the source image. Supported data types: All. |
Michalis Spyrou | 780db4e | 2017-11-23 09:49:51 +0000 | [diff] [blame] | 29 | * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) |
| 30 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 31 | * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) |
| 32 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
Georgios Pinitas | bc06f99 | 2018-05-18 17:11:16 +0100 | [diff] [blame] | 33 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 34 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
Michalis Spyrou | 780db4e | 2017-11-23 09:49:51 +0000 | [diff] [blame] | 35 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image |
Michele Di Giorgio | 9fef38a | 2018-07-06 18:06:58 +0100 | [diff] [blame] | 36 | * @param[out] dst_ptr Pointer to the destination image. Supported data types: same as @p src_ptr |
Michalis Spyrou | 780db4e | 2017-11-23 09:49:51 +0000 | [diff] [blame] | 37 | * @param[in] dst_stride_x Stride of the destination image in X dimension (in bytes) |
| 38 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 39 | * @param[in] dst_stride_y Stride of the destination image in Y dimension (in bytes) |
| 40 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
Georgios Pinitas | bc06f99 | 2018-05-18 17:11:16 +0100 | [diff] [blame] | 41 | * @param[in] dst_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 42 | * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
Michalis Spyrou | 780db4e | 2017-11-23 09:49:51 +0000 | [diff] [blame] | 43 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination image |
| 44 | */ |
| 45 | __kernel void deconvolution_upsample( |
Georgios Pinitas | bc06f99 | 2018-05-18 17:11:16 +0100 | [diff] [blame] | 46 | TENSOR3D_DECLARATION(src), |
| 47 | TENSOR3D_DECLARATION(dst)) |
Michalis Spyrou | 780db4e | 2017-11-23 09:49:51 +0000 | [diff] [blame] | 48 | { |
Georgios Pinitas | bc06f99 | 2018-05-18 17:11:16 +0100 | [diff] [blame] | 49 | Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); |
| 50 | Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); |
Michalis Spyrou | 780db4e | 2017-11-23 09:49:51 +0000 | [diff] [blame] | 51 | |
| 52 | // Store result |
Georgios Pinitas | 793f87d | 2018-05-18 20:08:58 +0100 | [diff] [blame] | 53 | *((__global DATA_TYPE *)dst.ptr) = *((__global DATA_TYPE *)src.ptr); |
Michalis Spyrou | 780db4e | 2017-11-23 09:49:51 +0000 | [diff] [blame] | 54 | } |
giuros01 | 46a49a0 | 2019-04-01 13:50:22 +0100 | [diff] [blame] | 55 | |
| 56 | #if defined(FILTER_WIDTH) && defined(FILTER_HEIGHT) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(DATA_TYPE) |
| 57 | /** This kernel reshapes the deconvolution output tensor before returning the result of the Deconvolution. The decovnolution output tensor |
| 58 | * is the result of a @ref CLGEMM operation between the deconvolution input and the deconvolution filter |
| 59 | * |
| 60 | * @note Data type should be given as a preprocessor argument using -DDATA_TYPE=type, e.g., -DDATA_TYPE=F32 |
| 61 | * @note The width of the filter should be given as a preprocessor argument using -DFILTER_WIDTH=width, e.g., -DFILTER_WIDTH=2 |
| 62 | * @note The height of the filter should be given as a preprocessor argument using -DFILTER_HEIGHT=height, e.g., -DFILTER_HEIGHT=2 |
| 63 | * @note The width of the input should be given as a preprocessor argument using -DSRC_WIDTH=width, e.g., -DSRC_WIDTH=10 |
| 64 | * @note The height of the input should be given as a preprocessor argument using -DSRC_HEIGHT=width, e.g., -DSRC_HEIGHT=10 |
| 65 | * @note The output data layout is NHWC if the preprocessor argument NUM_FILTERS is defined, NCHW if NUM_FILTERS is not defined |
| 66 | * |
| 67 | * @param[in] src_ptr Pointer to the source image. Supported data types: QASYMM8/F16/F32 |
| 68 | * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) |
| 69 | * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| 70 | * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) |
| 71 | * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| 72 | * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 73 | * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| 74 | * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image |
| 75 | * @param[out] dst_ptr Pointer to the destination image. Supported data types: same as @p src_ptr |
| 76 | * @param[in] dst_stride_x Stride of the destination image in X dimension (in bytes) |
| 77 | * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| 78 | * @param[in] dst_stride_y Stride of the destination image in Y dimension (in bytes) |
| 79 | * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) |
| 80 | * @param[in] dst_stride_z Stride of the source tensor in Z dimension (in bytes) |
| 81 | * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| 82 | * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination image |
| 83 | * @param[in] bias_ptr (Optional) Pointer to the biases vector. Supported data types: F16/F32/S32 |
| 84 | * @param[in] bias_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) |
| 85 | * @param[in] bias_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) |
| 86 | * @param[in] bias_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector |
| 87 | */ |
| 88 | __kernel void deconvolution_reshape( |
| 89 | TENSOR3D_DECLARATION(src), |
| 90 | TENSOR3D_DECLARATION(dst) |
| 91 | #if defined(ADD_BIAS) |
| 92 | , |
| 93 | VECTOR_DECLARATION(bias) |
| 94 | #endif // defined(ADD_BIAS) |
| 95 | ) |
| 96 | { |
| 97 | #define FILTER_AREA ((FILTER_WIDTH) * (FILTER_HEIGHT)) |
| 98 | |
| 99 | Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); |
| 100 | Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(dst); |
| 101 | const DATA_TYPE data = *(__global DATA_TYPE *)src.ptr; |
| 102 | |
| 103 | // Store result |
| 104 | const int x_in = get_global_id(0); |
| 105 | const int y_in = get_global_id(1); |
| 106 | const int z_in = get_global_id(2); |
| 107 | |
| 108 | #if defined(NUM_FILTERS) |
| 109 | const int bias_index = x_in / (FILTER_AREA); |
| 110 | const int z_out = bias_index + (NUM_FILTERS) * (z_in / (SRC_HEIGHT)); |
| 111 | const int x_out = x_in % (FILTER_WIDTH) + y_in * (FILTER_WIDTH); |
| 112 | const int y_out = (FILTER_HEIGHT) * (z_in % (SRC_HEIGHT)) + ((x_in % (FILTER_AREA)) / (FILTER_WIDTH)); |
| 113 | #else // defined(NUM_FILTERS) |
| 114 | const int x_out = x_in / (FILTER_AREA); |
| 115 | const int y_out = x_in % (FILTER_WIDTH) + y_in * (FILTER_WIDTH); |
| 116 | const int z_out = (FILTER_HEIGHT) * z_in + ((x_in % (FILTER_AREA)) / (FILTER_WIDTH)); |
| 117 | const int bias_index = x_out; |
| 118 | #endif // defined(NUM_FILTERS) |
| 119 | |
| 120 | #if defined(ADD_BIAS) |
| 121 | Vector bias = CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); |
| 122 | const DATA_TYPE bias_val = *(__global DATA_TYPE *)vector_offset(&bias, bias_index); |
| 123 | *((__global DATA_TYPE *)tensor3D_offset(&dst, x_out, y_out, z_out)) = data + bias_val; |
| 124 | #else // defined(ADD_BIAS) |
| 125 | *((__global DATA_TYPE *)tensor3D_offset(&dst, x_out, y_out, z_out)) = data; |
| 126 | #endif // defined(ADD_BIAS) |
| 127 | |
| 128 | #undef FILTER_AREA |
| 129 | } |
| 130 | #endif // defined(FILTER_WIDTH) && defined(FILTER_HEIGHT) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(DATA_TYPE) |