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tf.contrib.graph_editor.Transformer

Class Transformer

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

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

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.

Methods

__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.

__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.

© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/graph_editor/Transformer