moco::TensorPackEnumerator Class Reference

#include <TensorPackEnumerator.h>

Public Member Functions
	TensorPackEnumerator ()=default
void	shape (const loco::TensorShape &si, const loco::TensorShape &so)
void	axis (uint32_t axis)
void	start (void)
bool	valid (void)
void	advance (void)
uint32_t	inp_num (void) const
uint32_t	inp_element (void) const
uint32_t	out_element (void) const

Detailed Description

Definition at line 29 of file TensorPackEnumerator.h.

Constructor & Destructor Documentation

TensorPackEnumerator()

moco::TensorPackEnumerator::TensorPackEnumerator ( )

default

Member Function Documentation

advance()

void moco::TensorPackEnumerator::advance

(

void

)

Definition at line 88 of file TensorPackEnumerator.cpp.

{
  uint32_t r = _rank_out - 1;
  increment(r);
 
  // from _cursor_out, set _cursor_inp and _num
  for (int32_t r = 0, s = 0; r < _rank_out; ++r)
  {
    if (r == _axis)
    {
      _num_inp = _cursor_out.at(r);
    }
    else
    {
      _cursor_inp.at(s) = _cursor_out.at(r);
      s++;
    }
  }
}

axis()

void moco::TensorPackEnumerator::axis ( uint32_t  axis )

inline

Definition at line 36 of file TensorPackEnumerator.h.

{ _axis = axis; }

References axis().

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

inp_element()

uint32_t moco::TensorPackEnumerator::inp_element

(

void

)

const

Definition at line 110 of file TensorPackEnumerator.cpp.

{
  uint32_t rank = _rank_out - 1;
  uint32_t element = 0;
  for (uint32_t r = 0; r < rank; ++r)
  {
    uint32_t dim = _boundary_inp.at(r);
    element = element * dim + _cursor_inp.at(r);
  }
  return element;
}

inp_num()

uint32_t moco::TensorPackEnumerator::inp_num

(

void

)

const

Definition at line 108 of file TensorPackEnumerator.cpp.

{ return _num_inp; }

out_element()

uint32_t moco::TensorPackEnumerator::out_element

(

void

)

const

Definition at line 122 of file TensorPackEnumerator.cpp.

{
  uint32_t rank = _rank_out;
  uint32_t element = 0;
  for (uint32_t r = 0; r < rank; ++r)
  {
    uint32_t dim = _boundary_out.at(r);
    element = element * dim + _cursor_out.at(r);
  }
  return element;
}

shape()

void moco::TensorPackEnumerator::shape	(	const loco::TensorShape &	si,
		const loco::TensorShape &	so
	)

Definition at line 24 of file TensorPackEnumerator.cpp.

{
  _shape_inp = si;
  _shape_out = so;
 
  assert(_shape_inp.rank() + 1 == _shape_out.rank());
 
  _rank_out = _shape_out.rank();
}

References loco::TensorShape::rank().

Referenced by RandomDataGenerator.RandomDataGenerator::_gen_float32(), RandomDataGenerator.RandomDataGenerator::_gen_int16(), and RandomDataGenerator.RandomDataGenerator::_gen_uint8().

start()

void moco::TensorPackEnumerator::start

(

void

)

Definition at line 52 of file TensorPackEnumerator.cpp.

{
  uint32_t rank = _rank_out;
 
  _cursor_out.resize(rank);
  _boundary_out.resize(rank);
  for (uint32_t r = 0; r < rank; ++r)
  {
    _cursor_out.at(r) = 0;
    _boundary_out.at(r) = _shape_out.dim(r).value();
  }
 
  rank = _rank_out - 1;
  _cursor_inp.resize(rank);
  _boundary_inp.resize(rank);
  for (uint32_t r = 0; r < rank; ++r)
  {
    _cursor_inp.at(r) = 0;
    _boundary_inp.at(r) = _shape_inp.dim(r).value();
  }
  _num_inp = 0;
}

References loco::TensorShape::dim(), and loco::Dimension::value().

valid()

bool moco::TensorPackEnumerator::valid

(

void

)

Definition at line 75 of file TensorPackEnumerator.cpp.

{
  uint32_t rank = _rank_out;
  for (uint32_t r = 0; r < rank; ++r)
  {
    if (_cursor_out.at(r) >= _boundary_out.at(r))
    {
      return false;
    }
  }
  return true;
}

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The documentation for this class was generated from the following files:

• compiler/moco/pass/src/TensorPackEnumerator.h
• compiler/moco/pass/src/TensorPackEnumerator.cpp