#include <Transpose.h>

Collaboration diagram for luci_interpreter::kernels::Transpose:

Public Member Functions
	Transpose (const Tensor input, const Tensor perm, Tensor *output)

const Tensor *	input () const

const Tensor *	perm () 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 Transpose.h.

Constructor & Destructor Documentation

◆ Transpose()

luci_interpreter::kernels::Transpose::Transpose	(	const Tensor *	input,
		const Tensor *	perm,
		Tensor *	output
	)

Definition at line 31 of file Transpose.cpp.

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

References input(), and perm().

Member Function Documentation

◆ configure()

void luci_interpreter::kernels::Transpose::configure ( )

overridevirtual

Implements luci_interpreter::Kernel.

Definition at line 36 of file Transpose.cpp.

{
  // Transpose op only supports 1D-4D input arrays.
  int dims = input()->shape().num_dims();
  const int32_t *perm_data = getTensorData<int32_t>(perm());
 
  assert(input()->shape().num_dims() <= 4);
  assert(input()->element_type() == output()->element_type());
 
  assert(perm()->shape().num_dims() == 1);
  assert(perm()->shape().dim(0) == dims);
 
  Shape output_shape(dims);
  for (int i = 0; i < dims; i++)
  {
    assert(perm_data[i] < dims && perm_data[i] >= 0);
    output_shape.dim(i) = input()->shape().dim(perm_data[i]);
  }
 
  output()->resize(output_shape);
}

References luci_interpreter::Shape::dim(), input(), luci_interpreter::Shape::num_dims(), output(), output_shape, perm(), luci_interpreter::Tensor::resize(), and luci_interpreter::Tensor::shape().

◆ execute()

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

overridevirtual

Implements luci_interpreter::Kernel.

Definition at line 58 of file Transpose.cpp.

{
  tflite::TransposeParams params{};
  const int32_t *perm_data = getTensorData<int32_t>(perm());
  const int32_t size = perm()->shape().dim(0);
  params.perm_count = size;
  for (int i = 0; i < size; i++)
    params.perm[i] = perm_data[i];
  switch (input()->element_type())
  {
    case DataType::FLOAT32:
      tflite::reference_ops::Transpose(params, getTensorShape(input()),
                                       getTensorData<float>(input()), getTensorShape(output()),
                                       getTensorData<float>(output()));
      break;
    case DataType::S64:
      tflite::reference_ops::Transpose(params, getTensorShape(input()),
                                       getTensorData<int64_t>(input()), getTensorShape(output()),
                                       getTensorData<int64_t>(output()));
      break;
    case DataType::U8:
      tflite::reference_ops::Transpose(params, getTensorShape(input()),
                                       getTensorData<uint8_t>(input()), getTensorShape(output()),
                                       getTensorData<uint8_t>(output()));
      break;
    default:
      throw std::runtime_error("luci-intp Transpose Unsupported type.");
  }
}