tensorflow_probability/python/internal/backend/numpy/misc.py
def _sort(values, axis=-1, direction='ASCENDING', stable=False, name=None):  # pylint: disable=unused-argument
  """Numpy implementation of `tf.sort`."""
  if direction == 'ASCENDING':
    pass
  elif direction == 'DESCENDING':
    values = np.negative(values)
  else:
    raise ValueError('Unrecognized direction: {}.'.format(direction))
  result = np.sort(values, axis, kind='stable' if stable else 'quicksort')
  if direction == 'DESCENDING':
    return np.negative(result)
  return result
def _sort(values, axis=-1, direction='ASCENDING', stable=False, name=None):  # pylint: disable=unused-argument
  if direction == 'ASCENDING':
    pass
  elif direction == 'DESCENDING':
    values = np.negative(values)
  else:
    raise ValueError('Unrecognized direction: {}.'.format(direction))
  result = np.sort(values, axis, kind='stable' if stable else 'quicksort')
  if direction == 'DESCENDING':
    return np.negative(result)
  return result
def _sort ( values , axis = - 1 , direction = 'ASCENDING' , stable = False , name = None ) : # pylint: disable=unused-argument if direction == 'ASCENDING' : pass elif direction == 'DESCENDING' : values = np . negative ( values ) else : raise ValueError ( 'Unrecognized direction: {}.' . format ( direction ) ) result = np . sort ( values , axis , kind = 'stable' if stable else 'quicksort' ) if direction == 'DESCENDING' : return np . negative ( result ) return result
Numpy implementation of `tf.sort`.
Numpy implementation of tf . sort .