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1 /*
2  * Copyright (c) 2019-2020 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/CLPadLayerKernel.h"
25 
26 #include "arm_compute/core/CL/CLHelpers.h"
27 #include "arm_compute/core/CL/ICLTensor.h"
28 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
29 #include "src/core/helpers/AutoConfiguration.h"
30 #include "src/core/helpers/WindowHelpers.h"
31 #include "support/StringSupport.h"
32 
33 namespace arm_compute
34 {
35 namespace
36 {
validate_arguments(const ITensorInfo * input,const ITensorInfo * output,const PaddingList & padding,PixelValue constant_value,PaddingMode mode)37 Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode)
38 {
39     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
40     ARM_COMPUTE_UNUSED(constant_value);
41     ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
42     ARM_COMPUTE_RETURN_ERROR_ON(padding.size() > input->num_dimensions());
43     if(mode == PaddingMode::REFLECT || mode == PaddingMode::SYMMETRIC)
44     {
45         ARM_COMPUTE_RETURN_ERROR_ON(padding.size() > 3);
46 
47         const auto is_reflect = static_cast<unsigned int>(mode == PaddingMode::REFLECT);
48         for(size_t i = 0; i < padding.size(); ++i)
49         {
50             ARM_COMPUTE_RETURN_ERROR_ON(padding.at(i).first > (input->dimension(i) - is_reflect));
51             ARM_COMPUTE_RETURN_ERROR_ON(padding.at(i).second > (input->dimension(i) - is_reflect));
52         }
53     }
54 
55     if(output->total_size() > 0)
56     {
57         TensorShape padded_shape = misc::shape_calculator::compute_padded_shape(input->tensor_shape(), padding);
58 
59         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(output, input);
60         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), padded_shape);
61     }
62 
63     return Status{};
64 }
65 
validate_and_configure_window(ITensorInfo * input,ITensorInfo * output,const PaddingList & padding,PixelValue constant_value,PaddingMode mode,unsigned int & num_elems_processed_per_iteration)66 std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode,
67                                                         unsigned int &num_elems_processed_per_iteration)
68 {
69     ARM_COMPUTE_UNUSED(constant_value, mode);
70 
71     const TensorShape padded_shape = misc::shape_calculator::compute_padded_shape(input->tensor_shape(), padding);
72     auto_init_if_empty(*output, input->clone()->set_tensor_shape(padded_shape));
73 
74     num_elems_processed_per_iteration = std::min(16U, 32U / static_cast<unsigned int>(element_size_from_data_type(input->data_type())));
75     if(input->dimension(0) < num_elems_processed_per_iteration)
76     {
77         num_elems_processed_per_iteration = 1 << static_cast<unsigned int>(std::log2(input->dimension(0)));
78     }
79 
80     // Configure kernel window
81     Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration));
82 
83     const int input_start_x = mode == PaddingMode::CONSTANT ? -(padding.at(0).first % num_elems_processed_per_iteration) : 0;
84     const int input_start_y = (mode == PaddingMode::CONSTANT && padding.size() > 1) ? -padding.at(1).first : 0;
85 
86     AccessWindowRectangle  input_access(input, input_start_x, input_start_y, num_elems_processed_per_iteration, 1);
87     AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
88 
89     const bool window_changed = update_window_and_padding(win, input_access, output_access);
90     output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape()));
91 
92     Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
93     return std::make_pair(err, win);
94 }
95 } // namespace
96 
CLPadLayerKernel()97 CLPadLayerKernel::CLPadLayerKernel()
98     : _input(nullptr), _output(nullptr), _input_start_x(0), _input_start_y(0), _4d_enabled(false)
99 {
100 }
101 
configure(const ICLTensor * input,ICLTensor * output,const PaddingList & padding,PixelValue constant_value,PaddingMode mode)102 void CLPadLayerKernel::configure(const ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode)
103 {
104     configure(CLKernelLibrary::get().get_compile_context(), input, output, padding, constant_value, mode);
105 }
106 
configure(const CLCompileContext & compile_context,const ICLTensor * input,ICLTensor * output,const PaddingList & padding,PixelValue constant_value,PaddingMode mode)107 void CLPadLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode)
108 {
109     // Perform validation step
110     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
111     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), padding, constant_value, mode));
112 
113     _input      = input;
114     _output     = output;
115     _4d_enabled = (mode == PaddingMode::CONSTANT) && (padding.size() > 3);
116 
117     // Configure window
118     unsigned int vec_size;
119     auto         win_config = validate_and_configure_window(input->info(), output->info(), padding, constant_value, mode, vec_size);
120     ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
121     ICLKernel::configure_internal(win_config.second);
122 
123     // Set build options
124     std::string kernel_name = "pad_layer_";
125 
126     const DataType    &data_type       = input->info()->data_type();
127     const unsigned int input_width     = input->info()->dimension(0);
128     const unsigned int input_height    = input->info()->dimension(1);
129     const unsigned int input_depth     = input->info()->dimension(2);
130     const unsigned int pad_x_before    = padding.at(0).first;
131     const unsigned int pad_y_before    = padding.size() > 1 ? padding.at(1).first : 0;
132     const unsigned int pad_z_before    = padding.size() > 2 ? padding.at(2).first : 0;
133     const unsigned int pad_right_start = input_width + pad_x_before;
134 
135     _input_start_x = mode == PaddingMode::CONSTANT ? -(pad_x_before % vec_size) : 0;
136     _input_start_y = (mode == PaddingMode::CONSTANT && padding.size() > 1) ? -padding.at(1).first : 0;
137 
138     CLBuildOptions build_opts;
139     build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type));
140     build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size));
141     build_opts.add_option("-DPAD_X_BEFORE=" + support::cpp11::to_string(pad_x_before));
142     build_opts.add_option("-DSRC_WIDTH=" + support::cpp11::to_string(input_width));
143     if(padding.size() > 1)
144     {
145         build_opts.add_option("-DPAD_Y_BEFORE=" + support::cpp11::to_string(pad_y_before));
146         build_opts.add_option("-DSRC_HEIGHT=" + support::cpp11::to_string(input_height));
147 
148         if(padding.size() > 2)
149         {
150             build_opts.add_option("-DPAD_Z_BEFORE=" + support::cpp11::to_string(pad_z_before));
151             build_opts.add_option("-DSRC_DEPTH=" + support::cpp11::to_string(input_depth));
152         }
153     }
154 
155     switch(mode)
156     {
157         case PaddingMode::CONSTANT:
158         {
159             kernel_name += "constant";
160 
161             build_opts.add_option("-DCONST_VAL=" + string_from_pixel_value(constant_value, data_type));
162             build_opts.add_option_if(pad_x_before >= vec_size, "-DNUM_THREADS_TO_SKIP_X=" + support::cpp11::to_string(pad_x_before / vec_size));
163 
164             if(_4d_enabled)
165             {
166                 build_opts.add_option("-DPAD_W_BEFORE=" + support::cpp11::to_string(padding.at(3).first));
167                 build_opts.add_option("-DSRC_BATCH=" + support::cpp11::to_string(input->info()->dimension(3)));
168             }
169 
170             break;
171         }
172         case PaddingMode::SYMMETRIC:
173         case PaddingMode::REFLECT:
174         {
175             kernel_name += "symmetric_reflect";
176 
177             const auto is_reflect = static_cast<unsigned int>(mode == PaddingMode::REFLECT);
178 
179             const unsigned int pad_x_before_remainder = pad_x_before % vec_size;
180             const unsigned int pad_x_after_remainder  = pad_right_start % vec_size;
181             const unsigned int after_pad_fact_x       = (2 * input_width + pad_x_before) - is_reflect;
182             const unsigned int output_last_x          = ceil_to_multiple(pad_right_start + padding.at(0).second, vec_size);
183 
184             build_opts.add_option("-DIS_REFLECT=" + support::cpp11::to_string(is_reflect));
185             build_opts.add_option("-DPAD_X_BEFORE_REMAINDER=" + support::cpp11::to_string(pad_x_before_remainder));
186             build_opts.add_option("-DPAD_X_AFTER_REMAINDER=" + support::cpp11::to_string(pad_x_after_remainder));
187             build_opts.add_option("-DPAD_X_BEFORE_REMAINDER_REFL=" + support::cpp11::to_string((pad_x_before_remainder + is_reflect) % vec_size));
188             build_opts.add_option("-DPAD_X_AFTER_REMAINDER_REFL=" + support::cpp11::to_string((pad_x_after_remainder - is_reflect) % vec_size));
189             build_opts.add_option("-DAFTER_PAD_FACT_X=" + support::cpp11::to_string(after_pad_fact_x));
190             build_opts.add_option_if(after_pad_fact_x < output_last_x, "-DAFTER_PAD_REM=" + support::cpp11::to_string(after_pad_fact_x % vec_size));
191 
192             break;
193         }
194         default:
195             ARM_COMPUTE_ERROR("Padding mode not supported.");
196     }
197 
198     // Create kernel
199     _kernel = create_kernel(compile_context, kernel_name, build_opts.options());
200 }
201 
validate(const ITensorInfo * input,const ITensorInfo * output,const PaddingList & padding,PixelValue constant_value,PaddingMode mode)202 Status CLPadLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode)
203 {
204     unsigned int vec_size;
205     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, padding, constant_value, mode));
206     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), padding, constant_value, mode, vec_size).first);
207 
208     return Status{};
209 }
210 
run(const Window & window,cl::CommandQueue & queue)211 void CLPadLayerKernel::run(const Window &window, cl::CommandQueue &queue)
212 {
213     ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
214     ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
215 
216     Window win_in = window;
217     win_in.adjust(Window::DimX, _input_start_x, true);
218     win_in.adjust(Window::DimY, _input_start_y, true);
219 
220     Window       slice_out = window.first_slice_window_3D();
221     Window       slice_in  = win_in.first_slice_window_3D();
222     unsigned int batch     = 0;
223     do
224     {
225         unsigned int idx = 0;
226         add_3D_tensor_argument(idx, _input, slice_in);
227         add_3D_tensor_argument(idx, _output, slice_out);
228         if(_4d_enabled)
229         {
230             add_argument<unsigned int>(idx, batch++);
231         }
232 
233         enqueue(queue, *this, slice_out, lws_hint());
234     }
235     while(window.slide_window_slice_3D(slice_out) && win_in.slide_window_slice_3D(slice_in));
236 }
237 } // namespace arm_compute
238