Compute Library
 21.02
NEQuantizationLayer Class Reference

Basic function to simulate a quantization layer. More...

#include <NEQuantizationLayer.h>

Collaboration diagram for NEQuantizationLayer:
[legend]

Public Member Functions

void configure (const ITensor *input, ITensor *output)
 Set the input and output tensors. More...
 
- Public Member Functions inherited from INESimpleFunctionNoBorder
 INESimpleFunctionNoBorder (IRuntimeContext *ctx=nullptr)
 Constructor. More...
 
 INESimpleFunctionNoBorder (const INESimpleFunctionNoBorder &)=delete
 Prevent instances of this class from being copied (As this class contains pointers) More...
 
 INESimpleFunctionNoBorder (INESimpleFunctionNoBorder &&)=default
 Default move constructor. More...
 
INESimpleFunctionNoBorderoperator= (const INESimpleFunctionNoBorder &)=delete
 Prevent instances of this class from being copied (As this class contains pointers) More...
 
INESimpleFunctionNoBorderoperator= (INESimpleFunctionNoBorder &&)=default
 Default move assignment operator. More...
 
 ~INESimpleFunctionNoBorder ()
 Default destructor. More...
 
void run () override final
 Run the kernels contained in the function. More...
 
- Public Member Functions inherited from IFunction
virtual ~IFunction ()=default
 Destructor. More...
 
virtual void prepare ()
 Prepare the function for executing. More...
 

Static Public Member Functions

static Status validate (const ITensorInfo *input, const ITensorInfo *output)
 Static function to check if given info will lead to a valid configuration of NEQuantizationLayer. More...
 

Detailed Description

Basic function to simulate a quantization layer.

This function calls the following Neon kernels:

  1. NEQuantizationLayerKernel

Definition at line 44 of file NEQuantizationLayer.h.

Member Function Documentation

◆ configure()

void configure ( const ITensor input,
ITensor output 
)

Set the input and output tensors.

Parameters
[in]inputSource tensor. The dimensions over the third will be interpreted as batches. Data types supported: QASYMM8/QASYMM8_SIGNED/F32/F16.
[out]outputDestination tensor with the same dimensions of input. Data types supported: QASYMM8/QASYMM8_SIGNED/QASYMM16

Definition at line 41 of file NEQuantizationLayer.cpp.

References ARM_COMPUTE_ERROR_ON_NULLPTR.

Referenced by NEReduceMean::configure(), NEGenerateProposalsLayer::configure(), NELSTMLayerQuantized::configure(), and main().

42 {
44 
45  // Configure quantize kernel
46  auto k = std::make_unique<NEQuantizationLayerKernel>();
47  k->configure(input, output);
48  _kernel = std::move(k);
49 }
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:161

◆ validate()

Status validate ( const ITensorInfo input,
const ITensorInfo output 
)
static

Static function to check if given info will lead to a valid configuration of NEQuantizationLayer.

Parameters
[in]inputInput tensor info. The dimensions over the third will be interpreted as batches. Data types supported: QASYMM8/QASYMM8_SIGNED/F32/F16.
[in]outputOutput tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/QASYMM16
Returns
a status

Definition at line 33 of file NEQuantizationLayer.cpp.

References ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR, ARM_COMPUTE_RETURN_ON_ERROR, and NEQuantizationLayerKernel::validate().

Referenced by NEGenerateProposalsLayer::validate(), and NELSTMLayerQuantized::validate().

34 {
37 
38  return Status{};
39 }
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:204
static Status validate(const ITensorInfo *input, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of NEQuantizationLayerKerne...
#define ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(...)
Definition: Validate.h:163

The documentation for this class was generated from the following files: