• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
1 /*
2  * Copyright (c) 2018-2020 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/NEWidthConcatenateLayerKernel.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 
41 namespace arm_compute
42 {
43 namespace
44 {
validate_arguments(const ITensorInfo * input,unsigned int width_offset,const ITensorInfo * output)45 Status validate_arguments(const ITensorInfo *input, unsigned int width_offset, const ITensorInfo *output)
46 {
47     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
48     // Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use NEON FP16 instructions.
49     ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
50     ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
51     ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(0) + width_offset > output->dimension(0));
52 
53     for(size_t i = 1; i < Coordinates::num_max_dimensions; ++i)
54     {
55         ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(i) != output->dimension(i));
56     }
57 
58     return Status{};
59 }
60 } // namespace
61 
NEWidthConcatenateLayerKernel()62 NEWidthConcatenateLayerKernel::NEWidthConcatenateLayerKernel()
63     : _width_offset(0)
64 {
65 }
66 
configure(const ITensorInfo * input,unsigned int width_offset,ITensorInfo * output)67 void NEWidthConcatenateLayerKernel::configure(const ITensorInfo *input, unsigned int width_offset, ITensorInfo *output)
68 {
69     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
70     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input, width_offset, output));
71 
72     _width_offset = width_offset;
73 
74     // Configure kernel window
75     Window      win = calculate_max_window(*input, Steps());
76     Coordinates coord;
77     coord.set_num_dimensions(output->num_dimensions());
78     output->set_valid_region(ValidRegion(coord, output->tensor_shape()));
79 
80     INEKernel::configure(win);
81 }
82 
validate(const ITensorInfo * input,unsigned int width_offset,const ITensorInfo * output)83 Status NEWidthConcatenateLayerKernel::validate(const ITensorInfo *input, unsigned int width_offset, const ITensorInfo *output)
84 {
85     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, width_offset, output));
86     return Status{};
87 }
88 
run_op(ITensorPack & tensors,const Window & window,const ThreadInfo & info)89 void NEWidthConcatenateLayerKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
90 {
91     ARM_COMPUTE_UNUSED(info);
92     ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
93     ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
94 
95     const auto src = tensors.get_const_tensor(TensorType::ACL_SRC);
96     auto       dst = tensors.get_tensor(TensorType::ACL_DST);
97 
98     // Offset output pointer to the correct position
99     uint8_t *output_ptr = dst->buffer() + dst->info()->offset_first_element_in_bytes() + _width_offset * dst->info()->strides_in_bytes()[0];
100 
101     const auto    window_start_x = static_cast<int>(window.x().start());
102     const auto    window_end_x   = static_cast<int>(window.x().end()) * static_cast<int>(dst->info()->element_size());
103     constexpr int window_step_x  = 16;
104 
105     Window win{ window };
106     win.set(Window::DimX, Window::Dimension(0, 1, 1));
107 
108     // Create iterators
109     Iterator                       input(src, win);
110     Iterator                       output(dst, win);
111     const DataType                 dt           = src->info()->data_type();
112     const UniformQuantizationInfo &input_qinfo  = src->info()->quantization_info().uniform();
113     const UniformQuantizationInfo &output_qinfo = dst->info()->quantization_info().uniform();
114     if(dt == DataType::QASYMM8 && input_qinfo != output_qinfo)
115     {
116         execute_window_loop(win, [&](const Coordinates &)
117         {
118             int x = window_start_x;
119             for(; x <= (window_end_x - window_step_x); x += window_step_x)
120             {
121                 vst1q_u8(output_ptr + output.offset() + x, vquantize(vdequantize(vld1q_u8(input.ptr() + x), input_qinfo), output_qinfo));
122             }
123 
124             // Compute left-over elements
125             for(; x < window_end_x; ++x)
126             {
127                 *(output_ptr + output.offset() + x) = quantize_qasymm8(dequantize_qasymm8(*(input.ptr() + x), input_qinfo), output_qinfo);
128             }
129         },
130         input, output);
131     }
132     else if(dt == DataType::QASYMM8_SIGNED && input_qinfo != output_qinfo)
133     {
134         execute_window_loop(win, [&](const Coordinates &)
135         {
136             int x = window_start_x;
137             for(; x <= (window_end_x - window_step_x); x += window_step_x)
138             {
139                 vst1q_s8(reinterpret_cast<int8_t *>(output_ptr + output.offset() + x),
140                          vquantize_signed(vdequantize(vld1q_s8(reinterpret_cast<int8_t *>(input.ptr() + x)), input_qinfo), output_qinfo));
141             }
142 
143             // Compute left-over elements
144             for(; x < window_end_x; ++x)
145             {
146                 *(output_ptr + output.offset() + x) = quantize_qasymm8_signed(dequantize_qasymm8_signed(*(input.ptr() + x), input_qinfo), output_qinfo);
147             }
148         },
149         input, output);
150     }
151     else
152     {
153         execute_window_loop(win, [&](const Coordinates &)
154         {
155             const auto in_ptr  = input.ptr();
156             const auto out_ptr = output_ptr + output.offset();
157             int        x       = window_start_x;
158             for(; x <= (window_end_x - window_step_x); x += window_step_x)
159             {
160                 wrapper::vstore(out_ptr + x, wrapper::vloadq(in_ptr + x));
161             }
162 
163             // Compute left-over elements
164             for(; x < window_end_x; ++x)
165             {
166                 *(out_ptr + x) = *(in_ptr + x);
167             }
168         },
169         input, output);
170     }
171 }
172 } // namespace arm_compute
173