CLMeanStdDevNormalizationLayer Class Reference

Basic function to execute mean and standard deviation normalization by calling CLMeanStdDevNormalizationKernel. More...

#include <CLMeanStdDevNormalizationLayer.h>

Collaboration diagram for CLMeanStdDevNormalizationLayer:

Public Member Functions
void	configure (ICLTensor *input, ICLTensor *output=nullptr, float epsilon=1e-8f)
	Initialise the function's input and outputs. More...
void	configure (const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output=nullptr, float epsilon=1e-8f)
	Initialise the function's input and outputs. More...
Public Member Functions inherited from ICLSimpleFunction
	ICLSimpleFunction (CLRuntimeContext *ctx=nullptr)
	Constructor. More...
	ICLSimpleFunction (const ICLSimpleFunction &)=delete
	Prevent instances of this class from being copied (As this class contains pointers) More...
	ICLSimpleFunction (ICLSimpleFunction &&)=default
	Default move constructor. More...
ICLSimpleFunction &	operator= (const ICLSimpleFunction &)=delete
	Prevent instances of this class from being copied (As this class contains pointers) More...
ICLSimpleFunction &	operator= (ICLSimpleFunction &&)=default
	Default move assignment operator. More...
	~ICLSimpleFunction ()
	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=nullptr, float epsilon=1e-8f)
	Static function to check if given info will lead to a valid configuration of CLMeanStdDevNormalizationKernel. More...

Detailed Description

Basic function to execute mean and standard deviation normalization by calling CLMeanStdDevNormalizationKernel.

Definition at line 37 of file CLMeanStdDevNormalizationLayer.h.

Member Function Documentation

configure() [1/2]

void configure	(	const CLCompileContext &	compile_context,
		ICLTensor *	input,
		ICLTensor *	output = nullptr,
		float	epsilon = 1e-8f
	)

Initialise the function's input and outputs.

Note

If the output tensor is a nullptr, the normalization will be performed in-place.

Parameters

[in]	compile_context	The compile context to be used.
[in,out]	input	Input tensor with 2 dimensions. Data types supported: F16/F32.
[out]	output	(Optional) Destination tensor. It can be nullptr in case of in-place computation. Data type supported: same as input
[in]	epsilon	(Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8.

Definition at line 38 of file CLMeanStdDevNormalizationLayer.cpp.

{
    ARM_COMPUTE_LOG_PARAMS(input, output, epsilon);
    auto k = std::make_unique<CLMeanStdDevNormalizationKernel>();
    k->configure(compile_context, input, output, epsilon);
    _kernel = std::move(k);
}

References ARM_COMPUTE_LOG_PARAMS, arm_compute::quantization::epsilon, and arm_compute::test::validation::input.

configure() [2/2]

void configure	(	ICLTensor *	input,
		ICLTensor *	output = nullptr,
		float	epsilon = 1e-8f
	)

Initialise the function's input and outputs.

Valid data layouts:

• NHWC
• NCHW

Valid data type configurations:

src	dst
F32	F32
F16	F16

Note

If the output tensor is a nullptr, the normalization will be performed in-place.

Parameters

[in,out]	input	Input tensor with 2 dimensions. Data types supported: F16/F32.
[out]	output	(Optional) Destination tensor. It can be nullptr in case of in-place computation. Data type supported: same as input
[in]	epsilon	(Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8.

Definition at line 33 of file CLMeanStdDevNormalizationLayer.cpp.

{
    configure(CLKernelLibrary::get().get_compile_context(), input, output, epsilon);
}

References arm_compute::quantization::epsilon, CLKernelLibrary::get(), and arm_compute::test::validation::input.

Referenced by CLLSTMLayer::configure().

validate()

Status validate ( const ITensorInfo *  input, const ITensorInfo *  output = nullptr, float  epsilon = 1e-8f  )

static

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

Parameters

[in]	input	Source tensor info with 2 dimensions. In case of output tensor info = nullptr, this tensor will store the result of the normalization. Data types supported: F16/F32.
[in]	output	(Optional) Destination tensor info. It can be nullptr in case of in-place computation. Data type supported: same as input
[in]	epsilon	(Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8.

Returns

a status

Definition at line 49 of file CLMeanStdDevNormalizationLayer.cpp.

{
    return CLMeanStdDevNormalizationKernel::validate(input, output, epsilon);
}

References arm_compute::quantization::epsilon, arm_compute::test::validation::input, and CLMeanStdDevNormalizationKernel::validate().

Referenced by CLLSTMLayer::validate().

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

• arm_compute/runtime/CL/functions/CLMeanStdDevNormalizationLayer.h
• src/runtime/CL/functions/CLMeanStdDevNormalizationLayer.cpp