#include <CumSum.h>

Collaboration diagram for luci_interpreter::kernels::CumSum:

[legend]

Public Member Functions
	CumSum (const Tensor input, const Tensor axis, Tensor *output, const CumSumParams &params)

const Tensor *	input () const

const Tensor *	axis () const

Tensor *	output () const

void	configure () override

void	execute () const override

Public Member Functions inherited from luci_interpreter::KernelWithParams< CumSumParams >
const CumSumParams &	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< CumSumParams >
	KernelWithParams (std::vector< const Tensor * > inputs, std::vector< Tensor * > outputs, const CumSumParams &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< CumSumParams >
const CumSumParams	_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 CumSum.h.

Constructor & Destructor Documentation

◆ CumSum()

luci_interpreter::kernels::CumSum::CumSum	(	const Tensor *	input,
		const Tensor *	axis,
		Tensor *	output,
		const CumSumParams &	params
	)

Definition at line 28 of file CumSum.cpp.

  : KernelWithParams<CumSumParams>({input, axis}, {output}, params)
{
}

References axis(), and input().

Member Function Documentation

◆ axis()

const Tensor * luci_interpreter::kernels::CumSum::axis ( ) const

inline

Definition at line 36 of file CumSum.h.

36{ return _inputs[1]; }

luci_interpreter::Kernel::_inputs

const std::vector< const Tensor * > _inputs

Definition Kernel.h:52

References luci_interpreter::Kernel::_inputs.

Referenced by onert.experimental.train.metrics.categorical_accuracy.CategoricalAccuracy::__init__(), configure(), CumSum(), execute(), and onert.experimental.train.metrics.categorical_accuracy.CategoricalAccuracy::update_state().

◆ configure()

void luci_interpreter::kernels::CumSum::configure ( )

overridevirtual

Implements luci_interpreter::Kernel.

Definition at line 33 of file CumSum.cpp.

{
  LUCI_INTERPRETER_CHECK(input()->element_type() == output()->element_type());
  LUCI_INTERPRETER_CHECK(input()->shape().num_dims() >= 1);
 
  LUCI_INTERPRETER_CHECK(axis()->element_type() == DataType::S32);
  LUCI_INTERPRETER_CHECK(axis()->shape().num_dims() == 0);
 
  output()->resize(input()->shape());
}

References axis(), input(), LUCI_INTERPRETER_CHECK, output(), and luci_interpreter::Tensor::resize().

◆ execute()

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

overridevirtual

Implements luci_interpreter::Kernel.

Definition at line 44 of file CumSum.cpp.

{
  switch (input()->element_type())
  {
    case DataType::FLOAT32:
      tflite::optimized_ops::CumSum(getTensorData<float>(input()), getTensorShape(input()),
                                    *getTensorData<int32_t>(axis()), params().exclusive,
                                    params().reverse, getTensorData<float>(output()));
      break;
    case DataType::S32:
      tflite::optimized_ops::CumSum(getTensorData<int32_t>(input()), getTensorShape(input()),
                                    *getTensorData<int32_t>(axis()), params().exclusive,
                                    params().reverse, getTensorData<int32_t>(output()));
      break;
    case DataType::S64:
      tflite::optimized_ops::CumSum(getTensorData<int64_t>(input()), getTensorShape(input()),
                                    *getTensorData<int32_t>(axis()), params().exclusive,
                                    params().reverse, getTensorData<int64_t>(output()));
      break;
    default:
      throw std::runtime_error("luci-intp CumSum Unsupported type.");
  }
}