luci_interpreter::kernels::PRelu Class Reference

#include <PRelu.h>

Collaboration diagram for luci_interpreter::kernels::PRelu:

Public Member Functions
	PRelu (const Tensor *input, const Tensor *alpha, Tensor *output)
	~PRelu ()
const Tensor *	input () const
const Tensor *	alpha () const
Tensor *	output () const
void	configure () override
void	execute () const override
Public Member Functions inherited from luci_interpreter::Kernel
virtual	~Kernel ()=default
const std::vector< const Tensor * > &	getInputTensors () const
const std::vector< Tensor * > &	getOutputTensors () const

Additional Inherited Members
Protected Member Functions inherited from luci_interpreter::Kernel
	Kernel (std::vector< const Tensor * > inputs, std::vector< Tensor * > outputs)
Protected Attributes inherited from luci_interpreter::Kernel
const std::vector< const Tensor * >	_inputs
const std::vector< Tensor * >	_outputs

Detailed Description

Definition at line 30 of file PRelu.h.

Constructor & Destructor Documentation

PRelu()

luci_interpreter::kernels::PRelu::PRelu	(	const Tensor *	input,
		const Tensor *	alpha,
		Tensor *	output
	)

Definition at line 33 of file PRelu.cpp.

  : Kernel({input, alpha}, {output})
{
}

References alpha(), and input().

~PRelu()

luci_interpreter::kernels::PRelu::~PRelu

(

)

Definition at line 38 of file PRelu.cpp.

{
  // Destructor declared to delete vector of alpha quantized data properly
}

Member Function Documentation

alpha()

const Tensor * luci_interpreter::kernels::PRelu::alpha ( ) const

inline

Definition at line 38 of file PRelu.h.

{ return _inputs[1]; }

References luci_interpreter::Kernel::_inputs.

Referenced by configure(), and PRelu().

configure()

void luci_interpreter::kernels::PRelu::configure ( )

overridevirtual

Implements luci_interpreter::Kernel.

Definition at line 43 of file PRelu.cpp.

{
  LUCI_INTERPRETER_CHECK(input()->element_type() == output()->element_type());
  LUCI_INTERPRETER_CHECK(alpha()->element_type() == output()->element_type());
  LUCI_INTERPRETER_CHECK(input()->scales().size() <= 1);
  LUCI_INTERPRETER_CHECK(output()->scales().size() <= 1);
 
  if (input()->element_type() == DataType::U8)
  {
    LUCI_INTERPRETER_CHECK(alpha()->scales().size() <= 1); // remove when CWQ kernel arrives
    _alpha_multipliers.resize(1);
    double alpha_multiplier = input()->scale() * alpha()->scale() / output()->scale();
    quantizeMultiplier(alpha_multiplier, &_alpha_multipliers[0].multiplier,
                       &_alpha_multipliers[0].shift);
    double identity_multiplier = input()->scale() / output()->scale();
    quantizeMultiplier(identity_multiplier, &_output_multiplier_identity, &_output_shift_identity);
  }
  else if (input()->element_type() == DataType::S16)
  {
    // Common check for correctness of quant params
    LUCI_INTERPRETER_CHECK(input()->zero_point() == 0 && output()->zero_point() == 0);
    for (size_t channel = 0; channel < alpha()->zero_points().size(); ++channel)
    {
      LUCI_INTERPRETER_CHECK(alpha()->zero_points()[channel] == 0);
    }
    // PRelu specific checks for CWQ
    LUCI_INTERPRETER_CHECK(alpha()->quantized_dimension() == alpha()->shape().num_dims() - 1);
    LUCI_INTERPRETER_CHECK(static_cast<int32_t>(alpha()->scales().size()) ==
                           alpha()->shape().dim(alpha()->quantized_dimension()));
    LUCI_INTERPRETER_CHECK(alpha()->shape().num_elements() ==
                           input()->shape().dim(input()->shape().num_dims() - 1));
 
    // all dimension of alpha except last one should be size 1
    for (int dim = 0; dim < alpha()->shape().num_dims() - 1; ++dim)
    {
      LUCI_INTERPRETER_CHECK(alpha()->shape().dim(dim) == 1);
    }
 
    std::vector<double> real_multipliers =
      getQuantizedConvolutionMultiplers(input()->scale(), alpha()->scales(), output()->scale());
 
    _alpha_multipliers = quantizeMultipliers(real_multipliers);
 
    double identity_multiplier = input()->scale() / output()->scale();
    quantizeMultiplier(identity_multiplier, &_output_multiplier_identity, &_output_shift_identity);
  }
  output()->resize(calculateShapeForBroadcast(input()->shape(), alpha()->shape()));
}

References alpha(), luci_interpreter::kernels::calculateShapeForBroadcast(), luci_interpreter::kernels::getQuantizedConvolutionMultiplers(), input(), LUCI_INTERPRETER_CHECK, luci_interpreter::Shape::num_dims(), output(), luci_interpreter::kernels::quantizeMultiplier(), luci_interpreter::kernels::quantizeMultipliers(), luci_interpreter::Tensor::resize(), luci_interpreter::Tensor::scale(), luci_interpreter::Tensor::shape(), size, and luci_interpreter::Tensor::zero_points().

execute()

void luci_interpreter::kernels::PRelu::execute ( ) const

overridevirtual

Implements luci_interpreter::Kernel.

Definition at line 92 of file PRelu.cpp.

{
  switch (input()->element_type())
  {
    case DataType::FLOAT32:
      evalFloat();
      break;
    case DataType::U8:
      evalQuantized();
      break;
    case DataType::S16:
      evalQuantizedS16();
      break;
    default:
      throw std::runtime_error("luci-intp PRelu Unsupported type.");
  }
}

References input().

input()

const Tensor * luci_interpreter::kernels::PRelu::input ( ) const

inline

Definition at line 37 of file PRelu.h.

{ return _inputs[0]; }

References luci_interpreter::Kernel::_inputs.

Referenced by configure(), execute(), and PRelu().

output()

Tensor * luci_interpreter::kernels::PRelu::output ( ) const

inline

Definition at line 39 of file PRelu.h.

{ return _outputs[0]; }

References luci_interpreter::Kernel::_outputs.

Referenced by configure().

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

• compiler/luci-interpreter/src/kernels/PRelu.h
• compiler/luci-interpreter/src/kernels/PRelu.cpp