luci_interpreter::kernels::Mean Class Reference

#include <Mean.h>

Collaboration diagram for luci_interpreter::kernels::Mean:

Public Member Functions
	Mean (const Tensor *input, const Tensor *axes, Tensor *output, Tensor *temp_index, Tensor *resolved_axes, Tensor *temp_sum, const ReducerParams &params)
const Tensor *	input () const
const Tensor *	axes () const
Tensor *	output () const
void	configure () override
void	execute () const override
Public Member Functions inherited from luci_interpreter::KernelWithParams< ReducerParams >
const ReducerParams &	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< ReducerParams >
	KernelWithParams (std::vector< const Tensor * > inputs, std::vector< Tensor * > outputs, const ReducerParams &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< ReducerParams >
const ReducerParams	_params
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 Mean.h.

Constructor & Destructor Documentation

Mean()

luci_interpreter::kernels::Mean::Mean	(	const Tensor *	input,
		const Tensor *	axes,
		Tensor *	output,
		Tensor *	temp_index,
		Tensor *	resolved_axes,
		Tensor *	temp_sum,
		const ReducerParams &	params
	)

Definition at line 126 of file Mean.cpp.

  : KernelWithParams<ReducerParams>({input, axes}, {output, temp_index, resolved_axes, temp_sum},
                                    params)
{
}

References axes(), and input().

Member Function Documentation

axes()

const Tensor * luci_interpreter::kernels::Mean::axes ( ) const

inline

Definition at line 37 of file Mean.h.

{ return _inputs[1]; }

References luci_interpreter::Kernel::_inputs.

Referenced by configure(), and Mean().

configure()

void luci_interpreter::kernels::Mean::configure ( )

overridevirtual

Implements luci_interpreter::Kernel.

Definition at line 133 of file Mean.cpp.

{
  LUCI_INTERPRETER_CHECK(input()->element_type() == output()->element_type());
  LUCI_INTERPRETER_CHECK(axes()->element_type() == DataType::S32);
  if (input()->element_type() == DataType::S16)
  {
    LUCI_INTERPRETER_CHECK(input()->zero_point() == 0 && output()->zero_point() == 0);
  }
 
  const Shape &input_shape = input()->shape();
  int input_num_dims = input_shape.num_dims();
 
  const auto *axes_data = getTensorData<int32_t>(axes());
  int num_axes = axes()->shape().num_elements();
  assert(num_axes <= 4);
 
  Shape output_shape = getOutputShape(input_shape, axes_data, num_axes, _params.keep_dims);
  output()->resize(output_shape);
 
  tflite::MeanParams params{};
  resolveAxes(axes_data, num_axes, &params);
  _need_temporaries = !(
    _params.keep_dims && input_num_dims == 4 && params.axis_count == 2 &&
    ((params.axis[0] == 1 && params.axis[1] == 2) || (params.axis[0] == 2 && params.axis[1] == 1)));
  if (_need_temporaries)
  {
    auto temp_index = getOutputTensors()[1];
    auto resolved_axes = getOutputTensors()[2];
    auto temp_sum = getOutputTensors()[3];
 
    temp_index->resize(Shape(input_num_dims));
    resolved_axes->resize(Shape(num_axes));
    temp_sum->resize(output()->shape());
  }
  else
  {
    auto temp_index = getOutputTensors()[1];
    auto resolved_axes = getOutputTensors()[2];
    auto temp_sum = getOutputTensors()[3];
 
    temp_index->set_allocatable(false);
    resolved_axes->set_allocatable(false);
    temp_sum->set_allocatable(false);
  }
}

References luci_interpreter::KernelWithParams< ReducerParams >::_params, axes(), luci_interpreter::Kernel::getOutputTensors(), input(), luci_interpreter::ReducerParams::keep_dims, LUCI_INTERPRETER_CHECK, luci_interpreter::Shape::num_dims(), luci_interpreter::Shape::num_elements(), output(), output_shape, luci_interpreter::KernelWithParams< ReducerParams >::params(), luci_interpreter::Tensor::resize(), and luci_interpreter::Tensor::shape().

execute()

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

overridevirtual

Implements luci_interpreter::Kernel.

Definition at line 179 of file Mean.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 Mean Unsupported type.");
  }
}

References input().

input()

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

inline

Definition at line 36 of file Mean.h.

{ return _inputs[0]; }

References luci_interpreter::Kernel::_inputs.

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

output()

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

inline

Definition at line 38 of file Mean.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/Mean.h
• compiler/luci-interpreter/src/kernels/Mean.cpp