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Pablo Tello3dd5b682019-03-04 14:14:02 +00001/*
2 * Copyright (c) 2019 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 "arm_compute/core/NEON/kernels/NEHeightConcatenateLayerKernel.h"
25
26#include "arm_compute/core/Error.h"
27#include "arm_compute/core/Helpers.h"
28#include "arm_compute/core/IAccessWindow.h"
29#include "arm_compute/core/ITensor.h"
30#include "arm_compute/core/NEON/NEAsymm.h"
31#include "arm_compute/core/NEON/wrapper/wrapper.h"
32#include "arm_compute/core/TensorInfo.h"
33#include "arm_compute/core/Utils.h"
34#include "arm_compute/core/Validate.h"
35#include "arm_compute/core/Window.h"
36
37#include <cstdint>
38
39using namespace arm_compute;
40
41namespace
42{
43std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
44{
45 const unsigned int num_elems_processed_per_iteration = 16 / output->element_size();
46
47 // The window needs to be based on input as we copy all the widths of input
48 Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration));
49 AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration);
50 AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
51 bool window_changed = update_window_and_padding(win, input_access, output_access);
52
53 Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
54 return std::make_pair(err, win);
55}
56
57Status validate_arguments(const ITensorInfo *input, unsigned int height_offset, const ITensorInfo *output)
58{
59 ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
60 // Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use NEON FP16 instructions.
61 ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1,
62 DataType::U8, DataType::S8, DataType::QASYMM8,
63 DataType::U16, DataType::S16, DataType::F16,
64 DataType::U32, DataType::F32);
65 ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
66 ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimX) != output->dimension(Window::DimX));
67 ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimY) + height_offset > output->dimension(Window::DimY));
68 for(size_t i = 2; i < Coordinates::num_max_dimensions; ++i)
69 {
70 ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(i) != output->dimension(i));
71 }
72
73 return Status{};
74}
75} // namespace
76
77NEHeightConcatenateLayerKernel::NEHeightConcatenateLayerKernel()
78 : _input(nullptr), _output(nullptr), _height_offset(0)
79{
80}
81
82void NEHeightConcatenateLayerKernel::configure(const ITensor *input, unsigned int height_offset, ITensor *output)
83{
84 ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
85 ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), height_offset, output->info()));
86
87 _input = input;
88 _output = output;
89 _height_offset = height_offset;
90
91 // Configure kernel window
92 auto win_config = validate_and_configure_window(input->info(), output->info());
93 ARM_COMPUTE_ERROR_THROW_ON(std::get<0>(win_config));
94
95 INEKernel::configure(std::get<1>(win_config));
96}
97
98Status NEHeightConcatenateLayerKernel::validate(const ITensorInfo *input, unsigned int height_offset, const ITensorInfo *output)
99{
100 ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, height_offset, output));
101 ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first);
102 return Status{};
103}
104
105void NEHeightConcatenateLayerKernel::run(const Window &window, const ThreadInfo &info)
106{
107 ARM_COMPUTE_UNUSED(info);
108 ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
109 ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
110
111 // Offset output pointer to the correct position
112 uint8_t *output_ptr = _output->buffer() + _output->info()->offset_first_element_in_bytes() + _height_offset * _output->info()->strides_in_bytes()[Window::DimY];
113
114 // Create iterators
115 Iterator input(_input, window);
116 Iterator output(_output, window);
117 const DataType dt = _input->info()->data_type();
118 const QuantizationInfo &input_qinfo = _input->info()->quantization_info();
119 const QuantizationInfo &output_qinfo = _output->info()->quantization_info();
120 if(dt == DataType::QASYMM8 && input_qinfo != output_qinfo)
121 {
122 execute_window_loop(window, [&](const Coordinates &)
123 {
124 vst1q_u8(output_ptr + output.offset(), vquantize(vdequantize(vld1q_u8(input.ptr()), input_qinfo), output_qinfo));
125 },
126 input, output);
127 }
128 else
129 {
130 execute_window_loop(window, [&](const Coordinates &)
131 {
132 const auto in_ptr = input.ptr();
133 const auto out_ptr = output_ptr + output.offset();
134
135 wrapper::vstore(out_ptr, wrapper::vloadq(in_ptr));
136 },
137 input, output);
138 }
139}