#include <BroadcastTo.h>

Collaboration diagram for luci_interpreter::kernels::BroadcastTo:

Public Member Functions
	BroadcastTo (const Tensor input, const Tensor shape, Tensor *output)

const Tensor *	input () const

const Tensor *	shape () 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 BroadcastTo.h.

Constructor & Destructor Documentation

◆ BroadcastTo()

luci_interpreter::kernels::BroadcastTo::BroadcastTo	(	const Tensor *	input,
		const Tensor *	shape,
		Tensor *	output
	)

Definition at line 73 of file BroadcastTo.cpp.

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

References input(), and shape().

Member Function Documentation

◆ configure()

void luci_interpreter::kernels::BroadcastTo::configure ( )

overridevirtual

Implements luci_interpreter::Kernel.

Definition at line 78 of file BroadcastTo.cpp.

{
  LUCI_INTERPRETER_CHECK(input()->element_type() == output()->element_type());
 
  Shape output_shape = extractShapeFromTensor(shape());
 
  int input_rank = input()->shape().num_dims();
  int output_rank = output_shape.num_dims();
 
  // Ensures output rank is not less than input rank
  LUCI_INTERPRETER_CHECK(input_rank <= output_rank);
 
  // Check if output shape is broadcastable from input shape
  // from https://www.tensorflow.org/api_docs/python/tf/broadcast_to
  // if a tensor has fewer axes than necessary its shape is padded on the left with ones.
  int extending_rank = output_rank - input_rank;
  for (int idx = 0; idx < input_rank; ++idx)
  {
    LUCI_INTERPRETER_CHECK(input()->shape().dim(idx) == 1 ||
                           input()->shape().dim(idx) == output_shape.dim(extending_rank + idx));
  }
 
  output()->resize(output_shape);
}

References input(), LUCI_INTERPRETER_CHECK, luci::must_cast(), luci_interpreter::Shape::num_dims(), output(), output_shape, luci_interpreter::Tensor::resize(), luci_interpreter::Tensor::shape(), and shape().

◆ execute()

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

overridevirtual

Implements luci_interpreter::Kernel.

Definition at line 103 of file BroadcastTo.cpp.

{
  switch (input()->element_type())
  {
    case DataType::FLOAT32:
      evalFloat();
      break;
    case DataType::BOOL:
      evalBool();
      break;
    default:
      throw std::runtime_error("luci-intp BroadcastTo Unsupported type.");
  }
}