#include <Fill.h>

Collaboration diagram for luci_interpreter::kernels::Fill:

Public Member Functions
	Fill (const Tensor dims, const Tensor value, Tensor *output)

const Tensor *	dims () const

const Tensor *	value () 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 28 of file Fill.h.

Constructor & Destructor Documentation

◆ Fill()

luci_interpreter::kernels::Fill::Fill	(	const Tensor *	dims,
		const Tensor *	value,
		Tensor *	output
	)

Definition at line 26 of file Fill.cpp.

  : Kernel({dims, value}, {output})
{
}

References dims(), and value().

Member Function Documentation

◆ configure()

void luci_interpreter::kernels::Fill::configure ( )

overridevirtual

Implements luci_interpreter::Kernel.

Definition at line 48 of file Fill.cpp.

{
  const auto dims_shape = dims()->shape();
  const auto value_shape = value()->shape();
 
  // Make sure the 1st input tensor is 1-D
  LUCI_INTERPRETER_CHECK(dims_shape.num_dims() == 1);
 
  // Make sure the 1st input tensor is int32 or int64
  LUCI_INTERPRETER_CHECK(dims()->element_type() == DataType::S32 or
                         dims()->element_type() == DataType::S64);
 
  // Make sure the 2nd input tensor is a scalar
  LUCI_INTERPRETER_CHECK(value_shape.num_dims() == 0)
 
  // Check zero point and scale for S16 and S8
  if (value()->element_type() == loco::DataType::S16 or
      value()->element_type() == loco::DataType::S8)
  {
    LUCI_INTERPRETER_CHECK(value()->scale() == output()->scale());
    LUCI_INTERPRETER_CHECK(value()->zero_point() == output()->zero_point());
 
    if (value()->element_type() == loco::DataType::S16)
      LUCI_INTERPRETER_CHECK(value()->zero_point() == 0);
  }
  // Resize output
  switch (dims()->element_type())
  {
    case DataType::S32:
      configureShape<int32_t>();
      break;
    case DataType::S64:
      configureShape<int64_t>();
      break;
    default:
      throw std::runtime_error("luci-intp Fill(1) Unsupported type.");
  }
}

References dims(), LUCI_INTERPRETER_CHECK, output(), luci_interpreter::Tensor::shape(), and value().

◆ dims()

const Tensor * luci_interpreter::kernels::Fill::dims ( ) const

inline

Definition at line 33 of file Fill.h.

33{ return _inputs[0]; }

luci_interpreter::Kernel::_inputs

const std::vector< const Tensor * > _inputs

Definition Kernel.h:52

References luci_interpreter::Kernel::_inputs.

Referenced by configure(), and Fill().

◆ execute()

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

overridevirtual

Implements luci_interpreter::Kernel.

Definition at line 87 of file Fill.cpp.

{
  switch (output()->element_type())
  {
    case DataType::S8:
      tflite::reference_ops::Fill(getTensorShape(value()), getTensorData<int8_t>(value()),
                                  getTensorShape(output()), getTensorData<int8_t>(output()));
      break;
    case DataType::S16:
      tflite::reference_ops::Fill(getTensorShape(value()), getTensorData<int16_t>(value()),
                                  getTensorShape(output()), getTensorData<int16_t>(output()));
      break;
    case DataType::S32:
      tflite::reference_ops::Fill(getTensorShape(value()), getTensorData<int32_t>(value()),
                                  getTensorShape(output()), getTensorData<int32_t>(output()));
      break;
    case DataType::S64:
      tflite::reference_ops::Fill(getTensorShape(value()), getTensorData<int64_t>(value()),
                                  getTensorShape(output()), getTensorData<int64_t>(output()));
      break;
    case DataType::FLOAT32:
      tflite::reference_ops::Fill(getTensorShape(value()), getTensorData<float>(value()),
                                  getTensorShape(output()), getTensorData<float>(output()));
      break;
    default:
      throw std::runtime_error("luci-intp Fill(2) Unsupported type.");
  }
}