1/* 2 * Copyright (c) 2017-2021 Arm Limited. 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 * 28 * @param[in] src_ptr Pointer to the source image. Supported data types: All. 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) 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) 35 * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image 36 * @param[out] dst_ptr Pointer to the destination image. Supported data types: same as @p src_ptr 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) 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) 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( 46 TENSOR3D_DECLARATION(src), 47 TENSOR3D_DECLARATION(dst)) 48{ 49 Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); 50 Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); 51 52 // Store result 53 *((__global DATA_TYPE *)dst.ptr) = *((__global DATA_TYPE *)src.ptr); 54} 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/QASYMM8_SIGNED/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) 131