Class Transformer
Defined in tensorflow/contrib/graph_editor/transform.py
.
Transform a subgraph into another one.
By default, the constructor create a transform which copy a subgraph and replaces inputs with placeholders. This behavior can be modified by changing the handlers.
__init__
__init__()
Transformer constructor.
The following members can be modified:
transform_op_handler: handle the transformation of a tf.Operation
.
This handler defaults to a simple copy.
assign_collections_handler: handle the assignment of collections.
This handler defaults to assigning new collections created under the
given name-scope.
transform_external_input_handler: handle the transform of the inputs to
the given subgraph. This handler defaults to creating placeholders
instead of the ops just before the input tensors of the subgraph.
transform_external_hidden_input_handler: handle the transform of the
hidden inputs of the subgraph, that is, the inputs which are not listed
in sgv.inputs. This handler defaults to a transform which keep the same
input if the source and destination graphs are the same, otherwise
use placeholders.
transform_original_op_handler: handle the transform of original_op. This
handler defaults to transforming original_op only if they are in the
subgraph, otherwise they are ignored.
Methods
tf.contrib.graph_editor.Transformer.__call__
__call__(
sgv,
dst_graph,
dst_scope,
src_scope='',
reuse_dst_scope=False
)
Execute the transformation.
Args:
sgv
: the source subgraph-view.dst_graph
: the destination graph.dst_scope
: the destination scope.src_scope
: the source scope, which specify the path from which the relative path of the transformed nodes are computed. For instance, if src_scope is a/ and dst_scoped is b/, then the node a/x/y will have a relative path of x/y and will be transformed into b/x/y.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:
ValueError
: if the arguments are invalid.