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diff --git a/tensorflow/docs_src/api_guides/python/contrib.graph_editor.md b/tensorflow/docs_src/api_guides/python/contrib.graph_editor.md deleted file mode 100644 index 8ce49b952b..0000000000 --- a/tensorflow/docs_src/api_guides/python/contrib.graph_editor.md +++ /dev/null @@ -1,177 +0,0 @@ -# Graph Editor (contrib) -[TOC] - -TensorFlow Graph Editor. - -The TensorFlow Graph Editor library allows for modification of an existing -`tf.Graph` instance in-place. - -The author's github username is [purpledog](https://github.com/purpledog). - -## Library overview - -Appending new nodes is the only graph editing operation allowed by the -TensorFlow core library. The Graph Editor library is an attempt to allow for -other kinds of editing operations, namely, *rerouting* and *transforming*. - -* *rerouting* is a local operation consisting in re-plugging existing tensors - (the edges of the graph). Operations (the nodes) are not modified by this - operation. For example, rerouting can be used to insert an operation adding - noise in place of an existing tensor. -* *transforming* is a global operation consisting in transforming a graph into - another. By default, a transformation is a simple copy but it can be - customized to achieved other goals. For instance, a graph can be transformed - into another one in which noise is added after all the operations of a - specific type. - -**Important: modifying a graph in-place with the Graph Editor must be done -`offline`, that is, without any active sessions.** - -Of course new operations can be appended online but Graph Editor specific -operations like rerouting and transforming can currently only be done offline. - -Here is an example of what you **cannot** do: - -* Build a graph. -* Create a session and run the graph. -* Modify the graph with the Graph Editor. -* Re-run the graph with the `same` previously created session. - -To edit an already running graph, follow these steps: - -* Build a graph. -* Create a session and run the graph. -* Save the graph state and terminate the session -* Modify the graph with the Graph Editor. -* create a new session and restore the graph state -* Re-run the graph with the newly created session. - -Note that this procedure is very costly because a new session must be created -after any modifications. Among other things, it takes time because the entire -graph state must be saved and restored again. - -## Sub-graph - -Most of the functions in the Graph Editor library operate on *sub-graph*. -More precisely, they take as input arguments instances of the SubGraphView class -(or anything which can be converted to it). Doing so allows the same function -to transparently operate on single operations as well as sub-graph of any size. - -A subgraph can be created in several ways: - -* using a list of ops: - - ```python - my_sgv = ge.sgv(ops) - ``` - -* from a name scope: - - ```python - my_sgv = ge.sgv_scope("foo/bar", graph=tf.get_default_graph()) - ``` - -* using regular expression: - - ```python - my_sgv = ge.sgv("foo/.*/.*read$", graph=tf.get_default_graph()) - ``` - -Note that the Graph Editor is meant to manipulate several graphs at the same -time, typically during transform or copy operation. For that reason, -to avoid any confusion, the default graph is never used and the graph on -which to operate must always be given explicitly. This is the reason why -*`graph=tf.get_default_graph()`* is used in the code snippets above. - -## Modules overview - -* util: utility functions. -* select: various selection methods of TensorFlow tensors and operations. -* match: TensorFlow graph matching. Think of this as regular expressions for - graphs (but not quite yet). -* reroute: various ways of rerouting tensors to different consuming ops like - *swap* or *reroute_a2b*. -* subgraph: the SubGraphView class, which enables subgraph manipulations in a - TensorFlow `tf.Graph`. -* edit: various editing functions operating on subgraphs like *detach*, - *connect* or *bypass*. -* transform: the Transformer class, which enables transforming - (or simply copying) a subgraph into another one. - -## Module: util - -* `tf.contrib.graph_editor.make_list_of_op` -* `tf.contrib.graph_editor.get_tensors` -* `tf.contrib.graph_editor.make_list_of_t` -* `tf.contrib.graph_editor.get_generating_ops` -* `tf.contrib.graph_editor.get_consuming_ops` -* `tf.contrib.graph_editor.ControlOutputs` -* `tf.contrib.graph_editor.placeholder_name` -* `tf.contrib.graph_editor.make_placeholder_from_tensor` -* `tf.contrib.graph_editor.make_placeholder_from_dtype_and_shape` - -## Module: select - -* `tf.contrib.graph_editor.filter_ts` -* `tf.contrib.graph_editor.filter_ts_from_regex` -* `tf.contrib.graph_editor.filter_ops` -* `tf.contrib.graph_editor.filter_ops_from_regex` -* `tf.contrib.graph_editor.get_name_scope_ops` -* `tf.contrib.graph_editor.check_cios` -* `tf.contrib.graph_editor.get_ops_ios` -* `tf.contrib.graph_editor.compute_boundary_ts` -* `tf.contrib.graph_editor.get_within_boundary_ops` -* `tf.contrib.graph_editor.get_forward_walk_ops` -* `tf.contrib.graph_editor.get_backward_walk_ops` -* `tf.contrib.graph_editor.get_walks_intersection_ops` -* `tf.contrib.graph_editor.get_walks_union_ops` -* `tf.contrib.graph_editor.select_ops` -* `tf.contrib.graph_editor.select_ts` -* `tf.contrib.graph_editor.select_ops_and_ts` - -## Module: subgraph - -* `tf.contrib.graph_editor.SubGraphView` -* `tf.contrib.graph_editor.make_view` -* `tf.contrib.graph_editor.make_view_from_scope` - -## Module: reroute - -* `tf.contrib.graph_editor.swap_ts` -* `tf.contrib.graph_editor.reroute_ts` -* `tf.contrib.graph_editor.swap_inputs` -* `tf.contrib.graph_editor.reroute_inputs` -* `tf.contrib.graph_editor.swap_outputs` -* `tf.contrib.graph_editor.reroute_outputs` -* `tf.contrib.graph_editor.swap_ios` -* `tf.contrib.graph_editor.reroute_ios` -* `tf.contrib.graph_editor.remove_control_inputs` -* `tf.contrib.graph_editor.add_control_inputs` - -## Module: edit - -* `tf.contrib.graph_editor.detach_control_inputs` -* `tf.contrib.graph_editor.detach_control_outputs` -* `tf.contrib.graph_editor.detach_inputs` -* `tf.contrib.graph_editor.detach_outputs` -* `tf.contrib.graph_editor.detach` -* `tf.contrib.graph_editor.connect` -* `tf.contrib.graph_editor.bypass` - -## Module: transform - -* `tf.contrib.graph_editor.replace_t_with_placeholder_handler` -* `tf.contrib.graph_editor.keep_t_if_possible_handler` -* `tf.contrib.graph_editor.assign_renamed_collections_handler` -* `tf.contrib.graph_editor.transform_op_if_inside_handler` -* `tf.contrib.graph_editor.copy_op_handler` -* `tf.contrib.graph_editor.Transformer` -* `tf.contrib.graph_editor.copy` -* `tf.contrib.graph_editor.copy_with_input_replacements` -* `tf.contrib.graph_editor.graph_replace` - -## Useful aliases - -* `tf.contrib.graph_editor.ph` -* `tf.contrib.graph_editor.sgv` -* `tf.contrib.graph_editor.sgv_scope` |