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hub / github.com/DeepRec-AI/DeepRec / _ProcessGraphDefParam

Function _ProcessGraphDefParam

tensorflow/python/framework/importer.py:86–113  ·  view source on GitHub ↗

Type-checks and possibly canonicalizes `graph_def`.

(graph_def, op_dict)

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84
85
86def _ProcessGraphDefParam(graph_def, op_dict):
87 """Type-checks and possibly canonicalizes `graph_def`."""
88 if not isinstance(graph_def, graph_pb2.GraphDef):
89 # `graph_def` could be a dynamically-created message, so try a duck-typed
90 # approach
91 try:
92 old_graph_def = graph_def
93 graph_def = graph_pb2.GraphDef()
94 graph_def.MergeFrom(old_graph_def)
95 except TypeError:
96 raise TypeError('graph_def must be a GraphDef proto.')
97 else:
98 # If we're using the graph_def provided by the caller, modify graph_def
99 # in-place to add attr defaults to the NodeDefs (this is visible to the
100 # caller).
101 # NOTE(skyewm): this is undocumented behavior that at least meta_graph.py
102 # depends on. It might make sense to move this to meta_graph.py and have
103 # import_graph_def not modify the graph_def argument (we'd have to make sure
104 # this doesn't break anything else.)
105 for node in graph_def.node:
106 if node.op not in op_dict:
107 # Assume unrecognized ops are functions for now. TF_ImportGraphDef will
108 # report an error if the op is actually missing.
109 continue
110 op_def = op_dict[node.op]
111 _SetDefaultAttrValues(node, op_def)
112
113 return graph_def
114
115
116def _ProcessInputMapParam(input_map):

Callers 1

Calls 1

_SetDefaultAttrValuesFunction · 0.85

Tested by

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