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Function f

tensorflow/lite/python/util.py:282–305  ·  view source on GitHub ↗

Function to create `GraphDebugInfo` for the given `original_nodes`.

(original_nodes)

Source from the content-addressed store, hash-verified

280 converts them to a `GraphDebugInfo` for a given set of nodes.
281 """
282 def f(original_nodes):
283 """Function to create `GraphDebugInfo` for the given `original_nodes`."""
284 if not original_graph:
285 return None
286 # For the given nodes, gets all the op definitions in the original graph.
287 useful_ops = []
288 for func, name in original_nodes:
289 try:
290 if not func:
291 useful_ops.append((func, original_graph.get_operation_by_name(name)))
292 else:
293 sub_func = original_graph._get_function(func) # pylint: disable=protected-access
294 if isinstance(sub_func, function._EagerDefinedFunction): # pylint: disable=protected-access
295 useful_ops.append(
296 (func, sub_func.graph.get_operation_by_name(name)))
297 else:
298 sys.stderr.write(
299 "Use '@tf.function' or '@defun' to decorate the function.")
300 continue
301 except KeyError:
302 # New node created by graph optimizer. No stack trace from source code.
303 continue
304 # Convert all the op definitions to stack traces in terms of GraphDebugInfo.
305 return _error_interpolation.create_graph_debug_info_def(useful_ops)
306
307 return f
308

Callers 2

TESTFunction · 0.50

Calls 4

get_operation_by_nameMethod · 0.80
_get_functionMethod · 0.80
appendMethod · 0.45
writeMethod · 0.45

Tested by 2

TESTFunction · 0.40