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/NEON/kernels/NEFFTScaleKernel.h"
25
26 #include "arm_compute/core/ITensor.h"
27 #include "arm_compute/core/TensorInfo.h"
28 #include "arm_compute/core/Types.h"
29 #include "arm_compute/core/Validate.h"
30 #include "arm_compute/core/Window.h"
31 #include "src/core/NEON/wrapper/wrapper.h"
32 #include "src/core/helpers/AutoConfiguration.h"
33 #include "src/core/helpers/WindowHelpers.h"
34
35 #include <arm_neon.h>
36
37 namespace arm_compute
38 {
39 namespace
40 {
scale_complex(float * c_in,float * c_out,bool is_conjugate,float scale)41 void scale_complex(float *c_in, float *c_out, bool is_conjugate, float scale)
42 {
43 const auto a = wrapper::vload(c_in);
44 auto b = wrapper::vdiv(a, float32x2_t{ scale, scale });
45 if(is_conjugate)
46 {
47 const float img_part = wrapper::vgetlane(b, 1);
48 b = wrapper::vsetlane(-img_part, b, 1);
49 }
50
51 wrapper::vstore(c_out, b);
52 }
53
validate_arguments(const ITensorInfo * input,const ITensorInfo * output)54 Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
55 {
56 ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 2, DataType::F32);
57
58 // Checks performed when output is configured
59 if((output != nullptr) && (output->total_size() != 0))
60 {
61 ARM_COMPUTE_RETURN_ERROR_ON(output->num_channels() != 1 && output->num_channels() != 2);
62 ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
63 ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
64 }
65
66 return Status{};
67 }
68
validate_and_configure_window(ITensorInfo * input,ITensorInfo * output)69 std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
70 {
71 // Configure kernel window
72 Window win = calculate_max_window(*input, Steps());
73
74 if(output != nullptr)
75 {
76 // Output auto inizialitation if not yet initialized
77 auto_init_if_empty(*output, *input->clone());
78
79 // NEFFTScaleKernel doesn't need padding so update_window_and_padding() can be skipped
80 Coordinates coord;
81 coord.set_num_dimensions(output->num_dimensions());
82 output->set_valid_region(ValidRegion(coord, output->tensor_shape()));
83 }
84
85 return std::make_pair(Status{}, win);
86 }
87 } // namespace
88
NEFFTScaleKernel()89 NEFFTScaleKernel::NEFFTScaleKernel()
90 : _input(nullptr), _output(nullptr), _scale(), _run_in_place(false), _is_conj(false)
91 {
92 }
93
configure(ITensor * input,ITensor * output,const FFTScaleKernelInfo & config)94 void NEFFTScaleKernel::configure(ITensor *input, ITensor *output, const FFTScaleKernelInfo &config)
95 {
96 ARM_COMPUTE_ERROR_ON_NULLPTR(input);
97 ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), (output != nullptr) ? output->info() : nullptr));
98
99 _input = input;
100 _output = output;
101 _run_in_place = (output == nullptr) || (output == input);
102 _is_conj = config.conjugate;
103 _scale = config.scale;
104
105 // Configure kernel window
106 auto win_config = validate_and_configure_window(input->info(), _run_in_place ? nullptr : output->info());
107 ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
108 INEKernel::configure(win_config.second);
109 }
110
validate(const ITensorInfo * input,const ITensorInfo * output,const FFTScaleKernelInfo & config)111 Status NEFFTScaleKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const FFTScaleKernelInfo &config)
112 {
113 ARM_COMPUTE_UNUSED(config);
114 ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output));
115 ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first);
116
117 return Status{};
118 }
119
run(const Window & window,const ThreadInfo & info)120 void NEFFTScaleKernel::run(const Window &window, const ThreadInfo &info)
121 {
122 ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
123 ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
124 ARM_COMPUTE_UNUSED(info);
125
126 Window input_window = window;
127 input_window.set(Window::DimX, 0);
128
129 Iterator in(_input, input_window);
130 Iterator out(_run_in_place ? _input : _output, input_window);
131
132 execute_window_loop(window, [&](const Coordinates &)
133 {
134 scale_complex(reinterpret_cast<float *>(in.ptr()), reinterpret_cast<float *>(out.ptr()), _is_conj, _scale);
135 },
136 in, out);
137 }
138 } // namespace arm_compute
139