Compute Library
 20.08
NENormalizationLayer.cpp
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24 
26 
27 #include "arm_compute/core/Error.h"
29 #include "arm_compute/core/Types.h"
32 
33 namespace arm_compute
34 {
35 NENormalizationLayer::NENormalizationLayer(std::shared_ptr<IMemoryManager> memory_manager)
36  : _memory_group(std::move(memory_manager)), _norm_kernel(), _multiply_f(), _input_squared()
37 {
38 }
39 
41 {
43 
44  TensorInfo tensor_info(input->info()->tensor_shape(), 1, input->info()->data_type());
45  _input_squared.allocator()->init(tensor_info);
46 
47  // Manage intermediate buffers
48  _memory_group.manage(&_input_squared);
49 
50  // Configure kernels
51  _norm_kernel.configure(input, &_input_squared, output, norm_info);
52  _multiply_f.configure(input, input, &_input_squared, 1.0f, ConvertPolicy::SATURATE, RoundingPolicy::TO_ZERO);
53 
54  // Allocate the tensor once the configure methods have been called
55  _input_squared.allocator()->allocate();
56 }
57 
59 {
60  // Perform validation step
62 
65 
66  return Status{};
67 }
68 
70 {
71  MemoryGroupResourceScope scope_mg(_memory_group);
72  _multiply_f.run();
73  NEScheduler::get().schedule(&_norm_kernel, Window::DimY);
74 }
75 }
static Status validate(const ITensorInfo *input, const ITensorInfo *input_squared, const ITensorInfo *output, NormalizationLayerInfo norm_info)
Static function to check if given info will lead to a valid configuration of NENormalizationLayerKern...
void run() override
Run the kernels contained in the function.
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 run() override
Run the kernels contained in the function.
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:204
Normalization Layer Information class.
Definition: Types.h:1614
Store the tensor's metadata.
Definition: ITensorInfo.h:40
Status class.
Definition: Error.h:52
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
void configure(const ITensor *input1, const ITensor *input2, ITensor *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info=ActivationLayerInfo())
Initialise the kernel's inputs, output and convertion policy.
void allocate() override
Allocate size specified by TensorInfo of CPU memory.
#define ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(...)
Definition: Validate.h:163
static constexpr size_t DimY
Alias for dimension 1 also known as Y dimension.
Definition: Window.h:45
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:161
Memory group resources scope handling class.
Definition: IMemoryGroup.h:82
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info=ActivationLayerInfo())
Static function to check if given info will lead to a valid configuration of NEPixelWiseMultiplicatio...
virtual void schedule(ICPPKernel *kernel, const Hints &hints)=0
Runs the kernel in the same thread as the caller synchronously.
void configure(const ITensor *input, const ITensor *input_squared, ITensor *output, NormalizationLayerInfo norm_info)
Set the input and output tensors.
NENormalizationLayer(std::shared_ptr< IMemoryManager > memory_manager=nullptr)
Default constructor.
Store the tensor's metadata.
Definition: TensorInfo.h:45
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const NormalizationLayerInfo &norm_info)
Static function to check if given info will lead to a valid configuration of NENormalizationLayer.
Truncates the least significant values that are lost in operations.
void configure(const ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info)
Set the input and output tensors.
static IScheduler & get()
Access the scheduler singleton.
Definition: Scheduler.cpp:95