tensorflow_probability/python/bijectors/blockwise.py
def _validate_block_sizes(block_sizes, bijectors, validate_args):
  """Helper to validate block sizes."""
  block_sizes_shape = block_sizes.shape
  if tensorshape_util.is_fully_defined(block_sizes_shape):
    if (tensorshape_util.rank(block_sizes_shape) != 1 or
        (tensorshape_util.num_elements(block_sizes_shape) != len(bijectors))):
      raise ValueError(
          '`block_sizes` must be `None`, or a vector of the same length as '
          '`bijectors`. Got a `Tensor` with shape {} and `bijectors` of '
          'length {}'.format(block_sizes_shape, len(bijectors)))
    return block_sizes
  elif validate_args:
    message = ('`block_sizes` must be `None`, or a vector of the same length '
               'as `bijectors`.')
    with tf.control_dependencies([
        assert_util.assert_equal(
            tf.size(input=block_sizes), len(bijectors), message=message),
        assert_util.assert_equal(tf.rank(block_sizes), 1)
    ]):
      return tf.identity(block_sizes)
  else:
    return block_sizes
def _validate_block_sizes(block_sizes, bijectors, validate_args):
  """Helper to validate block sizes."""
  block_sizes_shape = block_sizes.shape
  if tensorshape_util.is_fully_defined(block_sizes_shape):
    if (tensorshape_util.rank(block_sizes_shape) != 1 or
        (tensorshape_util.num_elements(block_sizes_shape) != len(bijectors))):
      raise ValueError(
          '`block_sizes` must be `None`, or a vector of the same length as '
          '`bijectors`. Got a `Tensor` with shape {} and `bijectors` of '
          'length {}'.format(block_sizes_shape, len(bijectors)))
    return block_sizes
  elif validate_args:
    message = ('`block_sizes` must be `None`, or a vector of the same length '
               'as `bijectors`.')
    with tf.control_dependencies([
        assert_util.assert_equal(
            tf.size(input=block_sizes), len(bijectors), message=message),
        assert_util.assert_equal(tf.rank(block_sizes), 1)
    ]):
      return tf.identity(block_sizes)
  else:
    return block_sizes
def _validate_block_sizes ( block_sizes , bijectors , validate_args ) : block_sizes_shape = block_sizes . shape if tensorshape_util . is_fully_defined ( block_sizes_shape ) : if ( tensorshape_util . rank ( block_sizes_shape ) != 1 or ( tensorshape_util . num_elements ( block_sizes_shape ) != len ( bijectors ) ) ) : raise ValueError ( '`block_sizes` must be `None`, or a vector of the same length as ' '`bijectors`. Got a `Tensor` with shape {} and `bijectors` of ' 'length {}' . format ( block_sizes_shape , len ( bijectors ) ) ) return block_sizes elif validate_args : message = ( '`block_sizes` must be `None`, or a vector of the same length ' 'as `bijectors`.' ) with tf . control_dependencies ( [ assert_util . assert_equal ( tf . size ( input = block_sizes ) , len ( bijectors ) , message = message ) , assert_util . assert_equal ( tf . rank ( block_sizes ) , 1 ) ] ) : return tf . identity ( block_sizes ) else : return block_sizes
Helper to validate block sizes.
Helper to validate block sizes .