Create a new graph which compute the targets from the replaced Tensors.
tf.contrib.graph_editor.graph_replace(
target_ts, replacement_ts, dst_scope='', src_scope='', reuse_dst_scope=False
)
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.
|