Method concatenate

tensorflow/python/framework/tensor_shape.py:946–967

Returns the concatenation of the dimension in `self` and `other`. *N.B.* If either `self` or `other` is completely unknown, concatenation will discard information about the other shape. In future, we might support concatenation that preserves this information for use with slicing.

(self, other)

    return other.concatenate(self)

  def concatenate(self, other):
    """Returns the concatenation of the dimension in `self` and `other`.

    *N.B.* If either `self` or `other` is completely unknown,
    concatenation will discard information about the other shape. In
    future, we might support concatenation that preserves this
    information for use with slicing.

    Args:
      other: Another `TensorShape`.

    Returns:
      A `TensorShape` whose dimensions are the concatenation of the
      dimensions in `self` and `other`.
    """
    # TODO(mrry): Handle the case where we concatenate a known shape with a
    # completely unknown shape, so that we can use the partial information.
    other = as_shape(other)
    if self._dims is None or other.dims is None:
      return unknown_shape()
    else:
      return TensorShape(self._dims + other.dims)

  def assert_same_rank(self, other):
    """Raises an exception if `self` and `other` do not have compatible ranks.