Function copy

tensorflow/contrib/graph_editor/transform.py:591–623

Copy a subgraph. Args: sgv: the source subgraph-view. This argument is converted to a subgraph using the same rules than the function subgraph.make_view. dst_graph: the destination graph. dst_scope: the destination scope. src_scope: the source scope. reuse_dst_scope: if

(sgv, dst_graph=None, dst_scope="", src_scope="",
         reuse_dst_scope=False)

def copy(sgv, dst_graph=None, dst_scope="", src_scope="",
         reuse_dst_scope=False):
  """Copy a subgraph.

  Args:
    sgv: the source subgraph-view. This argument is converted to a subgraph
      using the same rules than the function subgraph.make_view.
    dst_graph: the destination graph.
    dst_scope: the destination scope.
    src_scope: the source scope.
    reuse_dst_scope: if True the dst_scope is re-used if it already exists.
      Otherwise, the scope is given a unique name based on the one given
      by appending an underscore followed by a digit (default).
  Returns:
    A tuple `(sgv, info)` where:
      `sgv` is the transformed subgraph view;
      `info` is an instance of TransformerInfo containing
      information about the transform, including mapping between
      original and transformed tensors and operations.
  Raises:
    TypeError: if `dst_graph` is not a `tf.Graph`.
    StandardError: if sgv cannot be converted to a SubGraphView using
      the same rules than the function subgraph.make_view.
  """
  sgv = subgraph.make_view(sgv)
  if dst_graph is None:
    dst_graph = sgv.graph
  if not isinstance(dst_graph, tf_ops.Graph):
    raise TypeError("Expected a tf.Graph, got: {}".format(type(dst_graph)))

  copier = Transformer()
  return copier(
      sgv, dst_graph, dst_scope, src_scope, reuse_dst_scope=reuse_dst_scope)


def copy_with_input_replacements(sgv, replacement_ts,