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1 /*
2  * Copyright (c) 2016-2020 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 "src/core/CL/kernels/CLHarrisCornersKernel.h"
25 
26 #include "arm_compute/core/CL/CLHelpers.h"
27 #include "arm_compute/core/CL/CLKernelLibrary.h"
28 #include "arm_compute/core/CL/ICLTensor.h"
29 #include "arm_compute/core/CL/OpenCL.h"
30 #include "arm_compute/core/Helpers.h"
31 #include "arm_compute/core/TensorInfo.h"
32 #include "arm_compute/core/Validate.h"
33 #include "src/core/AccessWindowStatic.h"
34 #include "src/core/helpers/AutoConfiguration.h"
35 #include "src/core/helpers/WindowHelpers.h"
36 #include "support/StringSupport.h"
37 
38 #include <set>
39 #include <sstream>
40 #include <string>
41 
42 using namespace arm_compute;
43 
CLHarrisScoreKernel()44 CLHarrisScoreKernel::CLHarrisScoreKernel()
45     : _input1(nullptr), _input2(nullptr), _output(nullptr), _sensitivity(), _strength_thresh(), _norm_factor(), _border_size(0)
46 {
47 }
48 
border_size() const49 BorderSize CLHarrisScoreKernel::border_size() const
50 {
51     return _border_size;
52 }
53 
configure(const ICLImage * input1,const ICLImage * input2,ICLImage * output,int32_t block_size,float norm_factor,float strength_thresh,float sensitivity,bool border_undefined)54 void CLHarrisScoreKernel::configure(const ICLImage *input1, const ICLImage *input2, ICLImage *output,
55                                     int32_t block_size, float norm_factor, float strength_thresh, float sensitivity,
56                                     bool border_undefined)
57 {
58     configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output, block_size, norm_factor, strength_thresh, sensitivity, border_undefined);
59 }
60 
configure(const CLCompileContext & compile_context,const ICLImage * input1,const ICLImage * input2,ICLImage * output,int32_t block_size,float norm_factor,float strength_thresh,float sensitivity,bool border_undefined)61 void CLHarrisScoreKernel::configure(const CLCompileContext &compile_context, const ICLImage *input1, const ICLImage *input2, ICLImage *output,
62                                     int32_t block_size, float norm_factor, float strength_thresh, float sensitivity,
63                                     bool border_undefined)
64 {
65     ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(input1);
66     ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(input2);
67     ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(output);
68     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::S16, DataType::S32);
69     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input2, 1, DataType::S16, DataType::S32);
70     ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::F32);
71     ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input1, input2);
72     ARM_COMPUTE_ERROR_ON(!(block_size == 3 || block_size == 5 || block_size == 7));
73     ARM_COMPUTE_ERROR_ON(0.0f == norm_factor);
74 
75     _input1          = input1;
76     _input2          = input2;
77     _output          = output;
78     _sensitivity     = sensitivity;
79     _strength_thresh = strength_thresh;
80     _norm_factor     = norm_factor;
81     _border_size     = BorderSize(block_size / 2);
82 
83     // Select kernel
84     std::stringstream harris_score_kernel_name;
85     harris_score_kernel_name << "harris_score_" << block_size << "x" << block_size;
86 
87     // Create build options
88     std::set<std::string> build_opts = { ("-DDATA_TYPE=" + get_cl_type_from_data_type(input1->info()->data_type())) };
89 
90     // Create kernel
91     _kernel = create_kernel(compile_context, harris_score_kernel_name.str(), build_opts);
92 
93     // Set static kernel arguments
94     unsigned int idx = 3 * num_arguments_per_2D_tensor(); //Skip the input and output parameters
95     _kernel.setArg(idx++, sensitivity);
96     _kernel.setArg(idx++, strength_thresh);
97     _kernel.setArg(idx++, norm_factor);
98 
99     // Configure kernel window
100     constexpr unsigned int num_elems_processed_per_iteration = 4;
101     constexpr unsigned int num_elems_written_per_iteration   = 4;
102     const unsigned int     num_elems_read_per_iteration      = block_size == 7 ? 10 : 8;
103     const unsigned int     num_rows_read_per_iteration       = block_size;
104 
105     Window win = calculate_max_window(*_input1->info(), Steps(num_elems_processed_per_iteration), border_undefined, border_size());
106 
107     AccessWindowRectangle  input1_access(input1->info(), -border_size().left, -border_size().top, num_elems_read_per_iteration, num_rows_read_per_iteration);
108     AccessWindowRectangle  input2_access(input2->info(), -border_size().left, -border_size().top, num_elems_read_per_iteration, num_rows_read_per_iteration);
109     AccessWindowHorizontal output_access(output->info(), 0, num_elems_written_per_iteration);
110 
111     update_window_and_padding(win, input1_access, input2_access, output_access);
112 
113     ValidRegion valid_region = intersect_valid_regions(input1->info()->valid_region(), input2->info()->valid_region());
114     output_access.set_valid_region(win, valid_region, border_undefined, border_size());
115 
116     ICLKernel::configure_internal(win);
117 
118     // Set config_id for enabling LWS tuning
119     _config_id = harris_score_kernel_name.str();
120     _config_id += "_";
121     _config_id += lower_string(string_from_data_type(input1->info()->data_type()));
122     _config_id += "_";
123     _config_id += support::cpp11::to_string(input1->info()->dimension(0));
124     _config_id += "_";
125     _config_id += support::cpp11::to_string(input1->info()->dimension(1));
126     _config_id += "_";
127     _config_id += lower_string(string_from_data_type(input2->info()->data_type()));
128     _config_id += "_";
129     _config_id += support::cpp11::to_string(input2->info()->dimension(0));
130     _config_id += "_";
131     _config_id += support::cpp11::to_string(input2->info()->dimension(1));
132 }
133 
run(const Window & window,cl::CommandQueue & queue)134 void CLHarrisScoreKernel::run(const Window &window, cl::CommandQueue &queue)
135 {
136     ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
137     ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
138 
139     Window slice = window.first_slice_window_2D();
140     do
141     {
142         unsigned int idx = 0;
143         add_2D_tensor_argument(idx, _input1, slice);
144         add_2D_tensor_argument(idx, _input2, slice);
145         add_2D_tensor_argument(idx, _output, slice);
146         enqueue(queue, *this, slice, lws_hint());
147     }
148     while(window.slide_window_slice_2D(slice));
149 }
150