Compute Library
 21.02
Helper.h
Go to the documentation of this file.
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 #ifndef ARM_COMPUTE_TEST_NEON_HELPER_H
25 #define ARM_COMPUTE_TEST_NEON_HELPER_H
26 
31 #include "tests/Globals.h"
32 
33 #include <algorithm>
34 #include <array>
35 #include <memory>
36 #include <vector>
37 
38 namespace arm_compute
39 {
40 namespace test
41 {
42 template <typename D, typename T, typename... Ts>
43 void fill_tensors(D &&dist, std::initializer_list<int> seeds, T &&tensor, Ts &&... other_tensors)
44 {
45  const std::array < T, 1 + sizeof...(Ts) > tensors{ { std::forward<T>(tensor), std::forward<Ts>(other_tensors)... } };
46  std::vector<int> vs(seeds);
47  ARM_COMPUTE_ERROR_ON(vs.size() != tensors.size());
48  int k = 0;
49  for(auto tp : tensors)
50  {
51  library->fill(Accessor(*tp), std::forward<D>(dist), vs[k++]);
52  }
53 }
54 
55 /** This template synthetizes an INESimpleFunction which runs the given kernel K */
56 template <typename K>
58 {
59 public:
60  /** Configure the kernel.
61  *
62  * @param[in] args Configuration arguments.
63  */
64  template <typename... Args>
65  void configure(Args &&... args)
66  {
67  auto k = std::make_unique<K>();
68  k->configure(std::forward<Args>(args)...);
69  _kernel = std::move(k);
70  }
71  /** Validate input arguments
72  *
73  * @param[in] args Configuration arguments.
74  */
75  template <typename... Args>
76  static Status validate(Args &&... args)
77  {
78  return K::validate(std::forward<Args>(args)...);
79  }
80 };
81 
82 /** As above but this also setups a Zero border on the input tensor of the specified bordersize */
83 template <typename K, int bordersize>
85 {
86 public:
87  /** Configure the kernel.
88  *
89  * @param[in] first First configuration argument.
90  * @param[in] args Rest of the configuration arguments.
91  */
92  template <typename T, typename... Args>
93  void configure(T first, Args &&... args)
94  {
95  auto k = std::make_unique<K>();
96  k->configure(first, std::forward<Args>(args)...);
97  _kernel = std::move(k);
98 
99  auto b = std::make_unique<NEFillBorderKernel>();
100  b->configure(first, BorderSize(bordersize), BorderMode::CONSTANT, PixelValue());
101  _border_handler = std::move(b);
102  }
103 };
104 
105 /** As above but this also setups a Zero border on the input tensor of the kernel's bordersize */
106 template <typename K>
108 {
109 public:
110  /** Configure the kernel.
111  *
112  * @param[in] first First configuration argument.
113  * @param[in] args Rest of the configuration arguments.
114  */
115  template <typename T, typename... Args>
116  void configure(T first, Args &&... args)
117  {
118  auto k = std::make_unique<K>();
119  k->configure(first, std::forward<Args>(args)...);
120  _kernel = std::move(k);
121 
122  auto b = std::make_unique<NEFillBorderKernel>();
123  b->configure(first, BorderSize(_kernel->border_size()), BorderMode::CONSTANT, PixelValue());
124  _border_handler = std::move(b);
125  }
126 };
127 
128 } // namespace test
129 } // namespace arm_compute
130 #endif /* ARM_COMPUTE_TEST_NEON_HELPER_H */
As above but this also setups a Zero border on the input tensor of the specified bordersize.
Definition: Helper.h:84
Class describing the value of a pixel for any image format.
Definition: PixelValue.h:34
void configure(Args &&... args)
Configure the kernel.
Definition: Helper.h:65
SimpleTensor< float > b
Definition: DFT.cpp:157
Container for 2D border size.
Definition: Types.h:273
static Status validate(Args &&... args)
Validate input arguments.
Definition: Helper.h:76
#define ARM_COMPUTE_ERROR_ON(cond)
If the condition is true then an error message is printed and an exception thrown.
Definition: Error.h:466
As above but this also setups a Zero border on the input tensor of the kernel&#39;s bordersize.
Definition: Helper.h:107
Status class.
Definition: Error.h:52
Copyright (c) 2017-2021 Arm Limited.
void configure(T first, Args &&... args)
Configure the kernel.
Definition: Helper.h:116
Accessor implementation for Tensor objects.
Definition: Accessor.h:35
Basic interface for functions which have a single Neon kernel and no border.
std::unique_ptr< AssetsLibrary > library
Definition: main.cpp:78
This template synthetizes an INESimpleFunction which runs the given kernel K.
Definition: Helper.h:57
void fill_tensors(D &&dist, std::initializer_list< int > seeds, T &&tensor, Ts &&... other_tensors)
Definition: Helper.h:43
Basic interface for functions which have a single Neon kernel.
void configure(T first, Args &&... args)
Configure the kernel.
Definition: Helper.h:93
Status validate(const ITensorInfo *scores_in, const ITensorInfo *boxes_in, const ITensorInfo *batch_splits_in, const ITensorInfo *scores_out, const ITensorInfo *boxes_out, const ITensorInfo *classes, const ITensorInfo *batch_splits_out, const ITensorInfo *keeps, const ITensorInfo *keeps_size, const BoxNMSLimitInfo info)