Compute Library
 21.02
NEGaussian5x5.cpp
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25 
33 
34 namespace arm_compute
35 {
37 
38 NEGaussian5x5::NEGaussian5x5(std::shared_ptr<IMemoryManager> memory_manager)
39  : _memory_group(std::move(memory_manager)), _kernel_hor(), _kernel_vert(), _tmp(), _border_handler()
40 {
41 }
42 
43 void NEGaussian5x5::configure(ITensor *input, ITensor *output, BorderMode border_mode, uint8_t constant_border_value)
44 {
45  // Init temporary buffer
46  TensorInfo tensor_info(input->info()->tensor_shape(), 1, DataType::S16);
47  _tmp.allocator()->init(tensor_info);
48 
49  // Manage intermediate buffers
50  _memory_group.manage(&_tmp);
51 
52  _kernel_hor = std::make_unique<NEGaussian5x5HorKernel>();
53  _kernel_vert = std::make_unique<NEGaussian5x5VertKernel>();
54  _border_handler = std::make_unique<NEFillBorderKernel>();
55 
56  // Create and configure kernels for the two passes
57  _kernel_hor->configure(input, &_tmp, border_mode == BorderMode::UNDEFINED);
58  _kernel_vert->configure(&_tmp, output, border_mode == BorderMode::UNDEFINED);
59 
60  _tmp.allocator()->allocate();
61 
62  _border_handler->configure(input, _kernel_hor->border_size(), border_mode, PixelValue(constant_border_value));
63 }
64 
66 {
67  NEScheduler::get().schedule(_border_handler.get(), Window::DimZ);
68 
69  MemoryGroupResourceScope scope_mg(_memory_group);
70 
71  NEScheduler::get().schedule(_kernel_hor.get(), Window::DimY);
72  NEScheduler::get().schedule(_kernel_vert.get(), Window::DimY);
73 }
74 } // namespace arm_compute
BorderMode
Methods available to handle borders.
Definition: Types.h:265
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...
NEGaussian5x5(std::shared_ptr< IMemoryManager > memory_manager=nullptr)
Default constructor.
Interface for Neon tensor.
Definition: ITensor.h:36
Copyright (c) 2017-2021 Arm Limited.
TensorAllocator * allocator()
Return a pointer to the tensor&#39;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
virtual const TensorShape & tensor_shape() const =0
Size for each dimension of the tensor.
void allocate() override
Allocate size specified by TensorInfo of CPU memory.
virtual ITensorInfo * info() const =0
Interface to be implemented by the child class to return the tensor&#39;s metadata.
~NEGaussian5x5()
Default destructor.
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.
Store the tensor&#39;s metadata.
Definition: TensorInfo.h:45
void configure(ITensor *input, ITensor *output, BorderMode border_mode, uint8_t constant_border_value=0)
Initialise the function&#39;s input, output and border mode.
static IScheduler & get()
Access the scheduler singleton.
Definition: Scheduler.cpp:94