Compute Library
 20.08
NEGaussian5x5.cpp
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25 
32 
33 using namespace arm_compute;
34 
35 NEGaussian5x5::NEGaussian5x5(std::shared_ptr<IMemoryManager> memory_manager)
36  : _memory_group(std::move(memory_manager)), _kernel_hor(), _kernel_vert(), _tmp(), _border_handler()
37 {
38 }
39 
40 void NEGaussian5x5::configure(ITensor *input, ITensor *output, BorderMode border_mode, uint8_t constant_border_value)
41 {
42  // Init temporary buffer
43  TensorInfo tensor_info(input->info()->tensor_shape(), 1, DataType::S16);
44  _tmp.allocator()->init(tensor_info);
45 
46  // Manage intermediate buffers
47  _memory_group.manage(&_tmp);
48 
49  // Create and configure kernels for the two passes
50  _kernel_hor.configure(input, &_tmp, border_mode == BorderMode::UNDEFINED);
51  _kernel_vert.configure(&_tmp, output, border_mode == BorderMode::UNDEFINED);
52 
53  _tmp.allocator()->allocate();
54 
55  _border_handler.configure(input, _kernel_hor.border_size(), border_mode, PixelValue(constant_border_value));
56 }
57 
59 {
60  NEScheduler::get().schedule(&_border_handler, Window::DimZ);
61 
62  MemoryGroupResourceScope scope_mg(_memory_group);
63 
64  NEScheduler::get().schedule(&_kernel_hor, Window::DimY);
65  NEScheduler::get().schedule(&_kernel_vert, Window::DimY);
66 }
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...
void configure(ITensor *tensor, BorderSize border_size, BorderMode border_mode, const PixelValue &constant_border_value=PixelValue())
Initialise the function.
NEGaussian5x5(std::shared_ptr< IMemoryManager > memory_manager=nullptr)
Default constructor.
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 run() override
Run the kernels contained in the function.
void manage(IMemoryManageable *obj) override
Sets a object to be managed by the given memory group.
Definition: MemoryGroup.h:79
void allocate() override
Allocate size specified by TensorInfo of CPU memory.
1 channel, 1 S16 per channel
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.
void configure(const ITensor *input, ITensor *output, bool border_undefined)
Initialise the kernel's source, destination and border mode.
Store the tensor's metadata.
Definition: TensorInfo.h:45
void configure(const ITensor *input, ITensor *output, bool border_undefined)
Initialise the kernel's source, destination and border mode.
void configure(ITensor *input, ITensor *output, BorderMode border_mode, uint8_t constant_border_value=0)
Initialise the function's input, output and border mode.
BorderSize border_size() const override
The size of the border for that kernel.
static IScheduler & get()
Access the scheduler singleton.
Definition: Scheduler.cpp:95