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1 /*
2  * Copyright (c) 2017-2020 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/NEFloorKernel.h"
25 
26 #include "arm_compute/core/Coordinates.h"
27 #include "arm_compute/core/Helpers.h"
28 #include "arm_compute/core/ITensor.h"
29 #include "arm_compute/core/Validate.h"
30 #include "src/core/CPP/Validate.h"
31 #include "src/core/NEON/INEKernel.h"
32 #include "src/core/helpers/AutoConfiguration.h"
33 #include "src/core/helpers/WindowHelpers.h"
34 
35 #include "src/core/NEON/kernels/floor/impl/list.h"
36 #include "src/core/common/Registrars.h"
37 
38 namespace arm_compute
39 {
40 namespace
41 {
42 struct FloorSelectorData
43 {
44     DataType dt;
45 };
46 using FloorSelectorPtr = std::add_pointer<bool(const FloorSelectorData &data)>::type;
47 using FloorUKernelPtr  = std::add_pointer<void(const void *, void *, int)>::type;
48 
49 struct FloorKernel
50 {
51     const char            *name;
52     const FloorSelectorPtr is_selected;
53     FloorUKernelPtr        ukernel;
54 };
55 
56 static const FloorKernel available_kernels[] =
57 {
58     {
59         "fp16_neon_floor",
__anon1384abb60202() 60         [](const FloorSelectorData & data) { return data.dt == DataType::F16; },
61         REGISTER_FP16_NEON(arm_compute::cpu::fp16_neon_floor)
62     },
63     {
64         "f32_neon_floor",
__anon1384abb60302() 65         [](const FloorSelectorData & data) { return data.dt == DataType::F32; },
66         REGISTER_FP32_NEON(arm_compute::cpu::fp32_neon_floor)
67     },
68 };
69 
get_implementation(const FloorSelectorData & data)70 const FloorKernel *get_implementation(const FloorSelectorData &data)
71 {
72     for(const auto &uk : available_kernels)
73     {
74         if(uk.is_selected(data))
75         {
76             return &uk;
77         }
78     }
79     return nullptr;
80 }
81 
validate_arguments(const ITensorInfo * input,const ITensorInfo * output)82 Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
83 {
84     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
85 
86     const auto *uk = get_implementation(FloorSelectorData{ input->data_type() });
87     ARM_COMPUTE_RETURN_ERROR_ON(uk == nullptr || uk->ukernel == nullptr);
88 
89     // Validate in case of configured output
90     if(output->total_size() > 0)
91     {
92         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
93         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
94     }
95 
96     return Status{};
97 }
98 } // namespace
99 
configure(const ITensor * input,ITensor * output)100 void NEFloorKernel::configure(const ITensor *input, ITensor *output)
101 {
102     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
103 
104     // Auto initialize output
105     auto_init_if_empty(*output->info(), input->info()->tensor_shape(), 1, input->info()->data_type());
106 
107     // Validate
108     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info()));
109 
110     _input  = input;
111     _output = output;
112 
113     // Configure kernel window
114     Window win = calculate_max_window(*input->info(), Steps());
115 
116     Coordinates coord;
117     coord.set_num_dimensions(output->info()->num_dimensions());
118     output->info()->set_valid_region(ValidRegion(coord, output->info()->tensor_shape()));
119 
120     INEKernel::configure(win);
121 }
122 
validate(const ITensorInfo * input,const ITensorInfo * output)123 Status NEFloorKernel::validate(const ITensorInfo *input, const ITensorInfo *output)
124 {
125     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output));
126     return Status{};
127 }
128 
run(const Window & window,const ThreadInfo & info)129 void NEFloorKernel::run(const Window &window, const ThreadInfo &info)
130 {
131     ARM_COMPUTE_UNUSED(info);
132     ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
133     ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
134 
135     Window win{ window };
136     win.set(Window::DimX, Window::Dimension(0, 1, 1));
137 
138     const auto  len = static_cast<int>(window.x().end()) - static_cast<int>(window.x().start());
139     const auto *uk  = get_implementation(FloorSelectorData{ _input->info()->data_type() });
140 
141     Iterator input(_input, win);
142     Iterator output(_output, win);
143 
144     execute_window_loop(win, [&](const Coordinates &)
145     {
146         uk->ukernel(input.ptr(), output.ptr(), len);
147     },
148     input, output);
149 }
150 } // namespace arm_compute
151