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### `tf.contrib.graph_editor.graph_replace(target_ts, replacement_ts, dst_scope='', src_scope='', reuse_dst_scope=False)` {#graph_replace}
Create a new graph which compute the targets from the replaced Tensors.
##### Args:
* <b>`target_ts`</b>: a single tf.Tensor or an iterable of tf.Tensor.
* <b>`replacement_ts`</b>: dictionary mapping from original tensors to replaced tensors
* <b>`dst_scope`</b>: the destination scope.
* <b>`src_scope`</b>: the source scope.
* <b>`reuse_dst_scope`</b>: 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:
* <b>`ValueError`</b>: if the targets are not connected to replacement_ts.
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