def wrap_sequence(sequence, books=None, tensor_shape=None):
  """Creates an input layer representing the given sequence of tensors.

  Args:
    sequence: A sequence of tensors.
    books: The bookkeeper.
    tensor_shape: An optional shape that will be set on the Tensor or verified
      to match the tensor.
  Returns:
    A layer.
  """
  if books is None:
    books = bookkeeper.for_default_graph()
  my_sequence = [
      wrap(t, books=books, tensor_shape=tensor_shape) for t in sequence]
  return Layer(books, sequence=my_sequence, name=my_sequence[0].name)
def wrap_sequence ( sequence , books = None , tensor_shape = None ) : if books is None : books = bookkeeper . for_default_graph ( ) my_sequence = [ wrap ( t , books = books , tensor_shape = tensor_shape ) for t in sequence ] return Layer ( books , sequence = my_sequence , name = my_sequence [ 0 ] . name )
Creates an input layer representing the given sequence of tensors.

  Args:
    sequence: A sequence of tensors.
    books: The bookkeeper.
    tensor_shape: An optional shape that will be set on the Tensor or verified
      to match the tensor.
  Returns:
    A layer.