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Function get_debug_info

tensorflow/lite/python/util.py:310–337  ·  view source on GitHub ↗

Returns the debug info for the original nodes in the `converted_graph`. Args: nodes_to_debug_info_func: The method to collect the op debug info for the nodes. converted_graph: A `GraphDef` after optimization and transfermation. Returns: `GraphDebugInfo` for all the original nod

(nodes_to_debug_info_func, converted_graph)

Source from the content-addressed store, hash-verified

308
309
310def get_debug_info(nodes_to_debug_info_func, converted_graph):
311 """Returns the debug info for the original nodes in the `converted_graph`.
312
313 Args:
314 nodes_to_debug_info_func: The method to collect the op debug info for the
315 nodes.
316 converted_graph: A `GraphDef` after optimization and transfermation.
317
318 Returns:
319 `GraphDebugInfo` for all the original nodes in `converted_graph`.
320 """
321 if not nodes_to_debug_info_func:
322 return None
323
324 # Collect all the debug info nodes from the converted_graph
325 original_nodes = set()
326 for node in converted_graph.node:
327 debug_nodes = node.experimental_debug_info.original_node_names
328 debug_funcs = node.experimental_debug_info.original_func_names
329 # If the `original_node_names` are empty, uses the node name directly.
330 if not debug_nodes:
331 original_nodes.add(("", node.name))
332 else:
333 for i in range(len(debug_nodes)):
334 original_nodes.add((debug_funcs[i], debug_nodes[i]))
335
336 # Convert the nodes to the debug info proto object.
337 return nodes_to_debug_info_func(original_nodes)

Callers

nothing calls this directly

Calls 2

rangeFunction · 0.50
addMethod · 0.45

Tested by

no test coverage detected