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1 /*
2  * Copyright (c) 2017-2020 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/CLDeconvolutionLayerUpsampleKernel.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/Helpers.h"
30 #include "arm_compute/core/Validate.h"
31 #include "src/core/CL/CLValidate.h"
32 #include "src/core/helpers/WindowHelpers.h"
33 
34 namespace arm_compute
35 {
CLDeconvolutionLayerUpsampleKernel()36 CLDeconvolutionLayerUpsampleKernel::CLDeconvolutionLayerUpsampleKernel()
37     : _input(nullptr), _output(nullptr), _info(), _data_layout(DataLayout::UNKNOWN)
38 {
39 }
40 
validate(const ITensorInfo * input,const ITensorInfo * output,const PadStrideInfo & info)41 Status CLDeconvolutionLayerUpsampleKernel::validate(const ITensorInfo *input, const ITensorInfo *output,
42                                                     const PadStrideInfo &info)
43 {
44     ARM_COMPUTE_UNUSED(info);
45     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
46     ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
47     ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
48     ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
49     ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
50 
51     const DataLayout data_layout = input->data_layout();
52 
53     const size_t idx_w = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
54     const size_t idx_h = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
55     const size_t idx_c = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL);
56 
57     ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_w) == 0);
58     ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_h) == 0);
59 
60     ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(idx_c) != output->dimension(idx_c));
61     for(size_t i = 3; i < Coordinates::num_max_dimensions; ++i)
62     {
63         ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(i) != output->dimension(i));
64     }
65 
66     return Status{};
67 }
68 
configure(const ICLTensor * input,ICLTensor * output,const PadStrideInfo & info)69 void CLDeconvolutionLayerUpsampleKernel::configure(const ICLTensor *input, ICLTensor *output,
70                                                    const PadStrideInfo &info)
71 {
72     configure(CLKernelLibrary::get().get_compile_context(), input, output, info);
73 }
74 
configure(const CLCompileContext & compile_context,const ICLTensor * input,ICLTensor * output,const PadStrideInfo & info)75 void CLDeconvolutionLayerUpsampleKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output,
76                                                    const PadStrideInfo &info)
77 {
78     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
79 
80     // Perform validation step
81     ARM_COMPUTE_ERROR_THROW_ON(CLDeconvolutionLayerUpsampleKernel::validate(input->info(), output->info(), info));
82 
83     _input       = input;
84     _output      = output;
85     _info        = info;
86     _data_layout = input->info()->data_layout();
87 
88     // Create kernel
89     CLBuildOptions build_opts;
90     build_opts.add_option(("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(input->info()->element_size())));
91     _kernel = create_kernel(compile_context, "deconvolution_upsample", build_opts.options());
92 
93     constexpr unsigned int num_elems_processed_per_iteration = 1;
94 
95     // Configure kernel window
96     Window                 win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration));
97     AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
98     output_access.set_valid_region(win, ValidRegion(Coordinates(), output->info()->tensor_shape()));
99 
100     ICLKernel::configure_internal(win);
101 }
102 
run(const Window & window,cl::CommandQueue & queue)103 void CLDeconvolutionLayerUpsampleKernel::run(const Window &window, cl::CommandQueue &queue)
104 {
105     ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
106     ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
107 
108     const size_t idx_w = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::WIDTH);
109     const size_t idx_h = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::HEIGHT);
110 
111     const int out_start_x = _info.pad_left();
112     const int out_end_x   = _output->info()->dimension(idx_w) - _info.pad_right() + _info.stride().first - 1;
113     const int out_step_x  = _info.stride().first;
114 
115     const int out_start_y = _info.pad_top();
116     const int out_end_y   = _output->info()->dimension(idx_h) - _info.pad_bottom() + _info.stride().second - 1;
117     const int out_step_y  = _info.stride().second;
118 
119     switch(_data_layout)
120     {
121         case DataLayout::NCHW:
122         {
123             Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
124 
125             Window slice_out = collapsed.first_slice_window_3D();
126             slice_out.set(Window::DimX, Window::Dimension(out_start_x, out_end_x, out_step_x));
127             slice_out.set(Window::DimY, Window::Dimension(out_start_y, out_end_y, out_step_y));
128 
129             Window slice_in = collapsed.first_slice_window_3D();
130 
131             do
132             {
133                 unsigned int idx = 0;
134                 add_3D_tensor_argument(idx, _input, slice_in);
135                 add_3D_tensor_argument(idx, _output, slice_out);
136                 enqueue(queue, *this, slice_out, lws_hint());
137             }
138             while(collapsed.slide_window_slice_3D(slice_in) && collapsed.slide_window_slice_3D(slice_out));
139             break;
140         }
141         case DataLayout::NHWC:
142         {
143             // NOTE: not collapsing in NHWC
144             Window slice_out = window.first_slice_window_3D();
145             slice_out.set(Window::DimY, Window::Dimension(out_start_x, out_end_x, out_step_x));
146             slice_out.set(Window::DimZ, Window::Dimension(out_start_y, out_end_y, out_step_y));
147 
148             Window slice_in = window.first_slice_window_3D();
149 
150             do
151             {
152                 unsigned int idx = 0;
153                 add_3D_tensor_argument(idx, _input, slice_in);
154                 add_3D_tensor_argument(idx, _output, slice_out);
155                 enqueue(queue, *this, slice_out, lws_hint());
156             }
157             while(window.slide_window_slice_3D(slice_in) && window.slide_window_slice_3D(slice_out));
158             break;
159         }
160         default:
161             ARM_COMPUTE_ERROR("Unsupported data layout");
162     }
163 }
164 } // namespace arm_compute
165