luci_interpreter::kernels::AveragePool2D Class Reference

#include <AveragePool2D.h>

Collaboration diagram for luci_interpreter::kernels::AveragePool2D:

Public Member Functions
	AveragePool2D (const Tensor *input, Tensor *output, Tensor *scratchpad, const Pool2DParams &params)
const Tensor *	input () const
Tensor *	output () const
void	configure () override
void	execute () const override
Public Member Functions inherited from luci_interpreter::KernelWithParams< Pool2DParams >
const Pool2DParams &	params () const
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::KernelWithParams< Pool2DParams >
	KernelWithParams (std::vector< const Tensor * > inputs, std::vector< Tensor * > outputs, const Pool2DParams &params)
Protected Member Functions inherited from luci_interpreter::Kernel
	Kernel (std::vector< const Tensor * > inputs, std::vector< Tensor * > outputs)
Protected Attributes inherited from luci_interpreter::KernelWithParams< Pool2DParams >
const Pool2DParams	_params
Protected Attributes inherited from luci_interpreter::Kernel
const std::vector< const Tensor * >	_inputs
const std::vector< Tensor * >	_outputs

Detailed Description

Definition at line 28 of file AveragePool2D.h.

Constructor & Destructor Documentation

AveragePool2D()

luci_interpreter::kernels::AveragePool2D::AveragePool2D	(	const Tensor *	input,
		Tensor *	output,
		Tensor *	scratchpad,
		const Pool2DParams &	params
	)

Definition at line 31 of file AveragePool2D.cpp.

  : KernelWithParams<Pool2DParams>({input}, {output, scratchpad}, params)
{
}

References input().

Member Function Documentation

configure()

void luci_interpreter::kernels::AveragePool2D::configure ( )

overridevirtual

Implements luci_interpreter::Kernel.

Definition at line 37 of file AveragePool2D.cpp.

{
  if (input()->element_type() != output()->element_type())
  {
    throw std::runtime_error("Input Tensor and Output Tensor Type must be same");
  }
  if (input()->shape().num_dims() != 4)
  {
    throw std::runtime_error("Input Tensor Shape must be 4-D");
  }
  const Shape &input_shape = input()->shape();
 
  const int32_t batches = input_shape.dim(0);
  const int32_t input_height = input_shape.dim(1);
  const int32_t input_width = input_shape.dim(2);
  const int32_t depth = input_shape.dim(3);
 
  const int32_t output_height =
    computeOutputSize(_params.padding, input_height, _params.filter_height, _params.stride_height);
  const int32_t output_width =
    computeOutputSize(_params.padding, input_width, _params.filter_width, _params.stride_width);
 
  _padding_height =
    computePadding(_params.stride_height, 1, input_height, _params.filter_height, output_height);
  _padding_width =
    computePadding(_params.stride_width, 1, input_width, _params.filter_width, output_width);
  if (input()->element_type() == DataType::U8)
  {
    LUCI_INTERPRETER_CHECK(std::abs(output()->scale() - input()->scale()) <= 1.0e-6);
    LUCI_INTERPRETER_CHECK(output()->zero_point() == input()->zero_point());
  }
  else if (input()->element_type() == DataType::S16)
  {
    LUCI_INTERPRETER_CHECK(std::abs(output()->scale() - input()->scale()) <= 1.0e-6);
    LUCI_INTERPRETER_CHECK(input()->zero_point() == 0 && output()->zero_point() == 0);
  }
  else if (input()->element_type() == DataType::S8)
  {
    LUCI_INTERPRETER_CHECK(std::abs(output()->scale() - input()->scale()) <= 1.0e-6);
    LUCI_INTERPRETER_CHECK(output()->zero_point() == input()->zero_point());
  }
  output()->resize({batches, output_height, output_width, depth});
 
  auto scratchpad = getOutputTensors()[1];
  luci_interpreter_pal::SetupScratchpadTensor(scratchpad, input()->element_type(),
                                              getTensorShape(input()), getTensorShape(output()));
}

References luci_interpreter::KernelWithParams< Pool2DParams >::_params, luci_interpreter::kernels::computeOutputSize(), luci_interpreter::kernels::computePadding(), luci_interpreter::Shape::dim(), luci_interpreter::Pool2DParams::filter_height, luci_interpreter::Pool2DParams::filter_width, luci_interpreter::Kernel::getOutputTensors(), luci_interpreter::kernels::getTensorShape(), input(), LUCI_INTERPRETER_CHECK, output(), luci_interpreter::Pool2DParams::padding, luci_interpreter::Tensor::resize(), luci_interpreter::Tensor::shape(), luci_interpreter::Pool2DParams::stride_height, and luci_interpreter::Pool2DParams::stride_width.

execute()

void luci_interpreter::kernels::AveragePool2D::execute ( ) const

overridevirtual

Implements luci_interpreter::Kernel.

Definition at line 85 of file AveragePool2D.cpp.

{
  switch (input()->element_type())
  {
    case DataType::FLOAT32:
      evalFloat();
      break;
    case DataType::U8:
      evalQuantized();
      break;
    case DataType::S16:
      evalSInt16();
      break;
    case DataType::S8:
      evalSInt8();
      break;
    default:
      throw std::runtime_error("luci-intp AveragePool2D Unsupported type.");
  }
}

References input().

input()

const Tensor * luci_interpreter::kernels::AveragePool2D::input ( ) const

inline

Definition at line 34 of file AveragePool2D.h.

{ return _inputs[0]; }

References luci_interpreter::Kernel::_inputs.

Referenced by AveragePool2D(), configure(), and execute().

output()

Tensor * luci_interpreter::kernels::AveragePool2D::output ( ) const

inline

Definition at line 35 of file AveragePool2D.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/AveragePool2D.h
• compiler/luci-interpreter/src/kernels/AveragePool2D.cpp