#include <Slice.h>

Collaboration diagram for luci_interpreter::kernels::Slice:

Public Member Functions
	Slice (const Tensor input, const Tensor begin, const Tensor size, Tensor output)

const Tensor *	input () const

const Tensor *	begin () const

const Tensor *	size () 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 27 of file Slice.h.

Constructor & Destructor Documentation

◆ Slice()

luci_interpreter::kernels::Slice::Slice	(	const Tensor *	input,
		const Tensor *	begin,
		const Tensor *	size,
		Tensor *	output
	)

Definition at line 31 of file Slice.cpp.

  : Kernel({input, begin, size}, {output})
{
}

References begin(), input(), and size().

Member Function Documentation

◆ begin()

const Tensor * luci_interpreter::kernels::Slice::begin ( ) const

inline

Definition at line 33 of file Slice.h.

33{ return _inputs[1]; }

luci_interpreter::Kernel::_inputs

const std::vector< const Tensor * > _inputs

Definition Kernel.h:52

References luci_interpreter::Kernel::_inputs.

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

◆ configure()

void luci_interpreter::kernels::Slice::configure ( )

overridevirtual

Implements luci_interpreter::Kernel.

Definition at line 74 of file Slice.cpp.

{
  assert(input()->element_type() == output()->element_type());
  assert(begin()->element_type() == DataType::S32 || begin()->element_type() == DataType::S64);
  assert(size()->element_type() == DataType::S32 || size()->element_type() == DataType::S64);
  assert(begin()->shape().num_dims() == 1);
  assert(size()->shape().num_dims() == 1);
  assert(input()->shape().num_dims() <= max_dim);
 
  if (begin()->element_type() == DataType::S32)
  {
    output()->resize(calculateOutputShape<int32_t>(input(), begin(), size()));
  }
  else if (begin()->element_type() == DataType::S64)
  {
    output()->resize(calculateOutputShape<int64_t>(input(), begin(), size()));
  }
  else
  {
    throw std::runtime_error("luci-intp Slice Unsupported type.");
  }
}

References begin(), input(), luci_interpreter::kernels::max_dim, output(), luci_interpreter::Tensor::resize(), and size().

◆ execute()

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

overridevirtual

Implements luci_interpreter::Kernel.

Definition at line 97 of file Slice.cpp.

{
  std::vector<int> begins;
  begins.reserve(max_dim);
  std::vector<int> sizes;
  sizes.reserve(max_dim);
  if (begin()->element_type() == DataType::S32)
  {
    getBeginAndSizeVectors<int32_t>(input()->shape().num_dims(), begin(), size(), &begins, &sizes);
  }
  else if (begin()->element_type() == DataType::S64)
  {
    getBeginAndSizeVectors<int64_t>(input()->shape().num_dims(), begin(), size(), &begins, &sizes);
  }
  else
  {
    throw std::runtime_error("Unsupported begin type.");
  }
  for (int i = input()->shape().num_dims(); i < max_dim; ++i)
  {
    begins.push_back(0);
    sizes.push_back(1);
  }
 
  assert(begins.size() == 4);
  assert(sizes.size() == 4);
  tflite::SliceParams op_params{};
  op_params.begin_count = 4;
  op_params.size_count = 4;
  for (int i = 0; i < 4; i++)
  {
    op_params.begin[i] = begins[3 - i];
    op_params.size[i] = sizes[3 - i];
  }
  switch (input()->element_type())
  {
    case DataType::FLOAT32:
      luci_interpreter_pal::Slice(op_params, getTensorShape(input()), getTensorData<float>(input()),
                                  getTensorShape(output()), getTensorData<float>(output()));
      break;
    case DataType::U8:
      luci_interpreter_pal::Slice(op_params, getTensorShape(input()),
                                  getTensorData<uint8_t>(input()), getTensorShape(output()),
                                  getTensorData<uint8_t>(output()));
      break;
    case DataType::S8:
      luci_interpreter_pal::Slice(op_params, getTensorShape(input()),
                                  getTensorData<int8_t>(input()), getTensorShape(output()),
                                  getTensorData<int8_t>(output()));
      break;
    default:
      throw std::runtime_error("Unsupported input type.");
  }
}