tf.contrib.graph_editor.graph_replace
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 | |
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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 | |
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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 | |
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ValueError |
if the targets are not connected to replacement_ts. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/graph_editor/graph_replace