1 /*
2 * Copyright (c) 2017-2021 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/cpu/kernels/CpuConcatenateDepthKernel.h"
25
26 #include "arm_compute/core/Error.h"
27 #include "arm_compute/core/Helpers.h"
28 #include "arm_compute/core/ITensor.h"
29 #include "arm_compute/core/TensorInfo.h"
30 #include "arm_compute/core/Utils.h"
31 #include "arm_compute/core/Validate.h"
32 #include "arm_compute/core/Window.h"
33 #include "src/core/NEON/NEAsymm.h"
34 #include "src/core/NEON/NEFixedPoint.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
41 namespace arm_compute
42 {
43 namespace cpu
44 {
45 namespace kernels
46 {
47 namespace
48 {
49 template <typename T>
depth_concat(const ITensor * src,ITensor * dst,unsigned int depth_offset,const Window & window)50 void depth_concat(const ITensor *src, ITensor *dst, unsigned int depth_offset, const Window &window)
51 {
52 // Offset source
53 uint8_t *src_ptr = src->buffer() + src->info()->offset_first_element_in_bytes();
54
55 // Offset destination
56 uint8_t *dst_ptr = dst->buffer() + dst->info()->offset_first_element_in_bytes() + depth_offset * dst->info()->strides_in_bytes()[2];
57
58 const auto window_start_x = static_cast<int>(window.x().start());
59 const auto window_end_x = static_cast<int>(window.x().end());
60 const int window_step_x = 16 / dst->info()->element_size();
61
62 Window win{ window };
63 win.set(Window::DimX, Window::Dimension(0, 1, 1));
64 win.set(Window::DimZ, Window::Dimension(0, src->info()->tensor_shape().z(), 1));
65
66 Iterator src_it(src, win);
67 Iterator dst_it(dst, win);
68
69 const DataType dt = src->info()->data_type();
70 const UniformQuantizationInfo src_qinfo = src->info()->quantization_info().uniform();
71 const UniformQuantizationInfo dst_qinfo = dst->info()->quantization_info().uniform();
72 if(dt == DataType::QASYMM8 && src_qinfo != dst_qinfo)
73 {
74 execute_window_loop(win, [&](const Coordinates &)
75 {
76 const auto in_ptr = reinterpret_cast<const uint8_t *>(src_ptr + src_it.offset());
77 const auto out_ptr = reinterpret_cast<uint8_t *>(dst_ptr + dst_it.offset());
78 int x = window_start_x;
79 for(; x <= (window_end_x - window_step_x); x += window_step_x)
80 {
81 wrapper::vstore(out_ptr + x, vquantize(vdequantize(wrapper::vloadq(in_ptr + x), src_qinfo), dst_qinfo));
82 }
83
84 // Compute left-over elements
85 for(; x < window_end_x; ++x)
86 {
87 *(out_ptr + x) = quantize_qasymm8(dequantize_qasymm8(*(in_ptr + x), src_qinfo), dst_qinfo);
88 }
89 },
90 src_it, dst_it);
91 }
92 else if(dt == DataType::QASYMM8_SIGNED && src_qinfo != dst_qinfo)
93 {
94 execute_window_loop(win, [&](const Coordinates &)
95 {
96 const auto in_ptr = reinterpret_cast<const int8_t *>(src_ptr + src_it.offset());
97 const auto out_ptr = reinterpret_cast<int8_t *>(dst_ptr + dst_it.offset());
98 int x = window_start_x;
99 for(; x <= (window_end_x - window_step_x); x += window_step_x)
100 {
101 wrapper::vstore(out_ptr + x, vquantize_signed(vdequantize(wrapper::vloadq(in_ptr + x), src_qinfo), dst_qinfo));
102 }
103
104 // Compute left-over elements
105 for(; x < window_end_x; ++x)
106 {
107 *(out_ptr + x) = quantize_qasymm8_signed(dequantize_qasymm8_signed(*(in_ptr + x), src_qinfo), dst_qinfo);
108 }
109 },
110 src_it, dst_it);
111 }
112 else
113 {
114 execute_window_loop(win, [&](const Coordinates &)
115 {
116 const auto in_ptr = reinterpret_cast<const T *>(src_ptr + src_it.offset());
117 const auto out_ptr = reinterpret_cast<T *>(dst_ptr + dst_it.offset());
118 int x = window_start_x;
119 for(; x <= (window_end_x - window_step_x); x += window_step_x)
120 {
121 wrapper::vstore(out_ptr + x, wrapper::vloadq(in_ptr + x));
122 }
123 // Compute left-over elements
124 for(; x < window_end_x; ++x)
125 {
126 *(out_ptr + x) = *(in_ptr + x);
127 }
128 },
129 src_it, dst_it);
130 }
131 }
132
validate_arguments(const ITensorInfo * input,unsigned int depth_offset,const ITensorInfo * output)133 Status validate_arguments(const ITensorInfo *input, unsigned int depth_offset, const ITensorInfo *output)
134 {
135 ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
136 //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use CPU FP16 instructions.
137 ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::F16, DataType::F32);
138 ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
139
140 ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimX) != output->dimension(Window::DimX));
141 ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimY) != output->dimension(Window::DimY));
142 ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(2) + depth_offset > output->dimension(2));
143 ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(3, input, output);
144
145 return Status{};
146 }
147 } // namespace
148
configure(const ITensorInfo * src,unsigned int depth_offset,ITensorInfo * dst)149 void CpuConcatenateDepthKernel::configure(const ITensorInfo *src, unsigned int depth_offset, ITensorInfo *dst)
150 {
151 ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
152 ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, depth_offset, dst));
153
154 _func = nullptr;
155 _depth_offset = depth_offset;
156
157 switch(src->data_type())
158 {
159 case DataType::QASYMM8:
160 _func = &depth_concat<uint8_t>;
161 break;
162 case DataType::QASYMM8_SIGNED:
163 _func = &depth_concat<int8_t>;
164 break;
165 case DataType::F16:
166 _func = &depth_concat<uint16_t>;
167 break;
168 case DataType::F32:
169 _func = &depth_concat<uint32_t>;
170 break;
171 default:
172 ARM_COMPUTE_ERROR("Unsupported data type.");
173 }
174
175 // Configure kernel window
176 Window win = calculate_max_window(*dst, Steps());
177 ICpuKernel::configure(win);
178 }
179
validate(const arm_compute::ITensorInfo * src,unsigned int depth_offset,const arm_compute::ITensorInfo * dst)180 Status CpuConcatenateDepthKernel::validate(const arm_compute::ITensorInfo *src,
181 unsigned int depth_offset,
182 const arm_compute::ITensorInfo *dst)
183 {
184 ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, depth_offset, dst));
185 return Status{};
186 }
187
run_op(ITensorPack & tensors,const Window & window,const ThreadInfo & info)188 void CpuConcatenateDepthKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
189 {
190 ARM_COMPUTE_UNUSED(info);
191 ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
192 ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICpuKernel::window(), window);
193 ARM_COMPUTE_ERROR_ON(_func == nullptr);
194
195 (*_func)(tensors.get_const_tensor(TensorType::ACL_SRC),
196 tensors.get_tensor(TensorType::ACL_DST),
197 _depth_offset,
198 window);
199 }
200
name() const201 const char *CpuConcatenateDepthKernel::name() const
202 {
203 return "CpuConcatenateDepthKernel";
204 }
205 } // namespace kernels
206 } // namespace cpu
207 } // namespace arm_compute
208