(height, width, smallest_side)
return new_height, new_width
Computes new shape with the smallest side equal to `smallest_side`.

  Computes new shape with the smallest side equal to `smallest_side` while
  preserving the original aspect ratio.

  Args:
    height: an int32 scalar tensor indicating the current height.
    width: an int32 scalar tensor indicating the current width.
    smallest_side: A python integer or scalar `Tensor` indicating the size of
      the smallest side after resize.

  Returns:
    new_height: an int32 scalar tensor indicating the new height.
    new_width: and int32 scalar tensor indicating the new width.
Computes new shape with the smallest side equal to `smallest_side`.
Computes new shape with the smallest side equal to smallest_side .
def _smallest_size_at_least(height, width, smallest_side):
  """Computes new shape with the smallest side equal to `smallest_side`.

  Computes new shape with the smallest side equal to `smallest_side` while
  preserving the original aspect ratio.

  Args:
    height: an int32 scalar tensor indicating the current height.
    width: an int32 scalar tensor indicating the current width.
    smallest_side: A python integer or scalar `Tensor` indicating the size of
      the smallest side after resize.

  Returns:
    new_height: an int32 scalar tensor indicating the new height.
    new_width: and int32 scalar tensor indicating the new width.
  """
  smallest_side = tf.convert_to_tensor(smallest_side, dtype=tf.int32)

  height = tf.to_float(height)
  width = tf.to_float(width)
  smallest_side = tf.to_float(smallest_side)

  scale = tf.cond(tf.greater(height, width),
                  lambda: smallest_side / width,
                  lambda: smallest_side / height)
  new_height = tf.to_int32(height * scale)
  new_width = tf.to_int32(width * scale)
  return new_height, new_width
def _smallest_size_at_least ( height , width , smallest_side ) : smallest_side = tf . convert_to_tensor ( smallest_side , dtype = tf . int32 ) height = tf . to_float ( height ) width = tf . to_float ( width ) smallest_side = tf . to_float ( smallest_side ) scale = tf . cond ( tf . greater ( height , width ) , lambda : smallest_side / width , lambda : smallest_side / height ) new_height = tf . to_int32 ( height * scale ) new_width = tf . to_int32 ( width * scale ) return new_height , new_width