blob: e707e8d5a4479bd6955df6d9043c82d94df6fc0c [file] [log] [blame]
Georgios Pinitas61ba0692021-01-10 04:07:39 +00001/*
2 * Copyright (c) 2018-2021 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/cpu/kernels/CpuConcatenateWidthKernel.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/TensorInfo.h"
31#include "arm_compute/core/Utils.h"
32#include "arm_compute/core/Validate.h"
33#include "arm_compute/core/Window.h"
34#include "src/core/NEON/NEAsymm.h"
35#include "src/core/NEON/wrapper/wrapper.h"
36#include "src/core/helpers/AutoConfiguration.h"
37#include "src/core/helpers/WindowHelpers.h"
38
39#include <cstdint>
40
41namespace arm_compute
42{
43namespace cpu
44{
45namespace kernels
46{
47namespace
48{
49Status validate_arguments(const ITensorInfo *src, unsigned int width_offset, const ITensorInfo *dst)
50{
51 ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
Sheri Zhangac6499a2021-02-10 15:32:38 +000052 // Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src) is not needed here as this kernel doesn't use Neon FP16 instructions.
Georgios Pinitas61ba0692021-01-10 04:07:39 +000053 ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN);
54 ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
55 ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(0) + width_offset > dst->dimension(0));
56
57 for(size_t i = 1; i < Coordinates::num_max_dimensions; ++i)
58 {
59 ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(i) != dst->dimension(i));
60 }
61
62 return Status{};
63}
64} // namespace
65
66CpuConcatenateWidthKernel::CpuConcatenateWidthKernel()
67 : _width_offset(0)
68{
69}
70
71void CpuConcatenateWidthKernel::configure(const ITensorInfo *src, unsigned int width_offset, ITensorInfo *dst)
72{
73 ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
74 ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, width_offset, dst));
75
76 _width_offset = width_offset;
77
78 // Configure kernel window
79 Window win = calculate_max_window(*src, Steps());
80 Coordinates coord;
81 coord.set_num_dimensions(dst->num_dimensions());
82 dst->set_valid_region(ValidRegion(coord, dst->tensor_shape()));
83
84 ICpuKernel::configure(win);
85}
86
87Status CpuConcatenateWidthKernel::validate(const ITensorInfo *src, unsigned int width_offset, const ITensorInfo *dst)
88{
89 ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, width_offset, dst));
90 return Status{};
91}
92
93void CpuConcatenateWidthKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
94{
95 ARM_COMPUTE_UNUSED(info);
96 ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
97 ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICpuKernel::window(), window);
98
99 const auto src = tensors.get_const_tensor(TensorType::ACL_SRC);
100 auto dst = tensors.get_tensor(TensorType::ACL_DST);
101
102 // Offset output pointer to the correct position
103 uint8_t *dst_ptr = dst->buffer() + dst->info()->offset_first_element_in_bytes() + _width_offset * dst->info()->strides_in_bytes()[0];
104
105 const auto window_start_x = static_cast<int>(window.x().start());
106 const auto window_end_x = static_cast<int>(window.x().end()) * static_cast<int>(dst->info()->element_size());
107 constexpr int window_step_x = 16;
108
109 Window win{ window };
110 win.set(Window::DimX, Window::Dimension(0, 1, 1));
111
112 // Create iterators
113 Iterator src_it(src, win);
114 Iterator dst_it(dst, win);
115 const DataType dt = src->info()->data_type();
116 const UniformQuantizationInfo &src_qinfo = src->info()->quantization_info().uniform();
117 const UniformQuantizationInfo &dst_qinfo = dst->info()->quantization_info().uniform();
118 if(dt == DataType::QASYMM8 && src_qinfo != dst_qinfo)
119 {
120 execute_window_loop(win, [&](const Coordinates &)
121 {
122 int x = window_start_x;
123 for(; x <= (window_end_x - window_step_x); x += window_step_x)
124 {
125 vst1q_u8(dst_ptr + dst_it.offset() + x, vquantize(vdequantize(vld1q_u8(src_it.ptr() + x), src_qinfo), dst_qinfo));
126 }
127
128 // Compute left-over elements
129 for(; x < window_end_x; ++x)
130 {
131 *(dst_ptr + dst_it.offset() + x) = quantize_qasymm8(dequantize_qasymm8(*(src_it.ptr() + x), src_qinfo), dst_qinfo);
132 }
133 },
134 src_it, dst_it);
135 }
136 else if(dt == DataType::QASYMM8_SIGNED && src_qinfo != dst_qinfo)
137 {
138 execute_window_loop(win, [&](const Coordinates &)
139 {
140 int x = window_start_x;
141 for(; x <= (window_end_x - window_step_x); x += window_step_x)
142 {
143 vst1q_s8(reinterpret_cast<int8_t *>(dst_ptr + dst_it.offset() + x),
144 vquantize_signed(vdequantize(vld1q_s8(reinterpret_cast<int8_t *>(src_it.ptr() + x)), src_qinfo), dst_qinfo));
145 }
146
147 // Compute left-over elements
148 for(; x < window_end_x; ++x)
149 {
150 *(dst_ptr + dst_it.offset() + x) = quantize_qasymm8_signed(dequantize_qasymm8_signed(*(src_it.ptr() + x), src_qinfo), dst_qinfo);
151 }
152 },
153 src_it, dst_it);
154 }
155 else
156 {
157 execute_window_loop(win, [&](const Coordinates &)
158 {
159 const auto in_ptr = src_it.ptr();
160 const auto out_ptr = dst_ptr + dst_it.offset();
161 int x = window_start_x;
162 for(; x <= (window_end_x - window_step_x); x += window_step_x)
163 {
164 wrapper::vstore(out_ptr + x, wrapper::vloadq(in_ptr + x));
165 }
166
167 // Compute left-over elements
168 for(; x < window_end_x; ++x)
169 {
170 *(out_ptr + x) = *(in_ptr + x);
171 }
172 },
173 src_it, dst_it);
174 }
175}
176
177const char *CpuConcatenateWidthKernel::name() const
178{
179 return "CpuConcatenateWidthKernel";
180}
181} // namespace kernels
182} // namespace cpu
183} // namespace arm_compute