Compute Library
 20.08
NESobel5x5.cpp
Go to the documentation of this file.
1 /*
2  * Copyright (c) 2016-2019 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  */
25 
32 
33 using namespace arm_compute;
34 
35 NESobel5x5::NESobel5x5(std::shared_ptr<IMemoryManager> memory_manager)
36  : _memory_group(std::move(memory_manager)), _sobel_hor(), _sobel_vert(), _tmp_x(), _tmp_y(), _border_handler()
37 {
38 }
39 
40 void NESobel5x5::configure(ITensor *input, ITensor *output_x, ITensor *output_y, BorderMode border_mode, uint8_t constant_border_value)
41 {
43 
44  const bool run_sobel_x = output_x != nullptr;
45  const bool run_sobel_y = output_y != nullptr;
46 
47  TensorInfo tensor_info(input->info()->tensor_shape(), Format::S16);
48 
49  if(run_sobel_x && run_sobel_y)
50  {
51  _tmp_x.allocator()->init(tensor_info);
52  _tmp_y.allocator()->init(tensor_info);
53  _memory_group.manage(&_tmp_x);
54  _memory_group.manage(&_tmp_y);
55  _sobel_hor.configure(input, &_tmp_x, &_tmp_y, border_mode == BorderMode::UNDEFINED);
56  _sobel_vert.configure(&_tmp_x, &_tmp_y, output_x, output_y, border_mode == BorderMode::UNDEFINED);
57  _tmp_x.allocator()->allocate();
58  _tmp_y.allocator()->allocate();
59  }
60  else if(run_sobel_x)
61  {
62  _tmp_x.allocator()->init(tensor_info);
63  _memory_group.manage(&_tmp_x);
64  _sobel_hor.configure(input, &_tmp_x, nullptr, border_mode == BorderMode::UNDEFINED);
65  _sobel_vert.configure(&_tmp_x, nullptr, output_x, nullptr, border_mode == BorderMode::UNDEFINED);
66  _tmp_x.allocator()->allocate();
67  }
68  else if(run_sobel_y)
69  {
70  _tmp_y.allocator()->init(tensor_info);
71  _memory_group.manage(&_tmp_y);
72  _sobel_hor.configure(input, nullptr, &_tmp_y, border_mode == BorderMode::UNDEFINED);
73  _sobel_vert.configure(nullptr, &_tmp_y, nullptr, output_y, border_mode == BorderMode::UNDEFINED);
74  _tmp_y.allocator()->allocate();
75  }
76 
77  _border_handler.configure(input, _sobel_hor.border_size(), border_mode, PixelValue(constant_border_value));
78 }
79 
81 {
82  NEScheduler::get().schedule(&_border_handler, Window::DimZ);
83 
84  MemoryGroupResourceScope scope_mg(_memory_group);
85 
86  NEScheduler::get().schedule(&_sobel_hor, Window::DimY);
87  NEScheduler::get().schedule(&_sobel_vert, Window::DimY);
88 }
BorderMode
Methods available to handle borders.
Definition: Types.h:264
Class describing the value of a pixel for any image format.
Definition: PixelValue.h:34
void init(const TensorAllocator &allocator, const Coordinates &coords, TensorInfo &sub_info)
Shares the same backing memory with another tensor allocator, while the tensor info might be differen...
1 channel, 1 U8 per channel
void configure(const ITensor *input, ITensor *output_x, ITensor *output_y, bool border_undefined)
Initialise the kernel's source, destination and border mode.
void configure(ITensor *tensor, BorderSize border_size, BorderMode border_mode, const PixelValue &constant_border_value=PixelValue())
Initialise the function.
Interface for NEON tensor.
Definition: ITensor.h:36
Copyright (c) 2017-2020 Arm Limited.
TensorAllocator * allocator()
Return a pointer to the tensor's allocator.
Definition: Tensor.cpp:48
void manage(IMemoryManageable *obj) override
Sets a object to be managed by the given memory group.
Definition: MemoryGroup.h:79
NESobel5x5(std::shared_ptr< IMemoryManager > memory_manager=nullptr)
Default constructor.
Definition: NESobel5x5.cpp:35
void allocate() override
Allocate size specified by TensorInfo of CPU memory.
void configure(ITensor *input, ITensor *output_x, ITensor *output_y, BorderMode border_mode, uint8_t constant_border_value=0)
Initialise the function's source, destinations and border mode.
Definition: NESobel5x5.cpp:40
1 channel, 1 S16 per channel
#define ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c,...)
Definition: Validate.h:790
static constexpr size_t DimY
Alias for dimension 1 also known as Y dimension.
Definition: Window.h:45
Memory group resources scope handling class.
Definition: IMemoryGroup.h:82
virtual void schedule(ICPPKernel *kernel, const Hints &hints)=0
Runs the kernel in the same thread as the caller synchronously.
static constexpr size_t DimZ
Alias for dimension 2 also known as Z dimension.
Definition: Window.h:47
Borders are left undefined.
Store the tensor's metadata.
Definition: TensorInfo.h:45
BorderSize border_size() const override
The size of the border for that kernel.
void configure(ITensor *input_x, ITensor *input_y, ITensor *output_x, ITensor *output_y, bool border_undefined)
Initialise the kernel's source, destination and border mode.
static IScheduler & get()
Access the scheduler singleton.
Definition: Scheduler.cpp:95
void run() override
Run the kernels contained in the function.
Definition: NESobel5x5.cpp:80