tf.contrib.graph_editor.graph_replace(target_ts, replacement_ts, dst_scope='', src_scope='', reuse_dst_scope=False)

tf.contrib.graph_editor.graph_replace(target_ts, replacement_ts, dst_scope='', src_scope='', reuse_dst_scope=False)

See the guide: Graph Editor (contrib) > Module: transform

Create a new graph which compute the targets from the replaced Tensors.

Args:

  • target_ts: a single tf.Tensor or an iterable of tf.Tensor.
  • replacement_ts: dictionary mapping from original tensors to replaced tensors
  • 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 single tf.Tensor or a list of target tf.Tensor, depending on the type of the input argument target_ts. The returned tensors are recomputed using the tensors from replacement_ts. Raises:
  • ValueError: if the targets are not connected to replacement_ts.

Defined in tensorflow/contrib/graph_editor/transform.py.