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Function _RemoveDefaultAttrs

tensorflow/python/framework/importer.py:145–175  ·  view source on GitHub ↗

Removes unknown default attrs according to `producer_op_list`. Removes any unknown attrs in `graph_def` (i.e. attrs that do not appear in the OpDefs in `op_dict`) that have a default value in `producer_op_list`. Args: op_dict: dict mapping operation name to OpDef. producer_op_list: O

(op_dict, producer_op_list, graph_def)

Source from the content-addressed store, hash-verified

143
144
145def _RemoveDefaultAttrs(op_dict, producer_op_list, graph_def):
146 """Removes unknown default attrs according to `producer_op_list`.
147
148 Removes any unknown attrs in `graph_def` (i.e. attrs that do not appear in
149 the OpDefs in `op_dict`) that have a default value in `producer_op_list`.
150
151 Args:
152 op_dict: dict mapping operation name to OpDef.
153 producer_op_list: OpList proto.
154 graph_def: GraphDef proto
155 """
156 producer_op_dict = {op.name: op for op in producer_op_list.op}
157 for node in graph_def.node:
158 # Remove any default attr values that aren't in op_def.
159 if (node.op in producer_op_dict
160 # Some custom op registrations won't show up here. That's OK, attribute
161 # stripping just won't be available.
162 and node.op in op_dict):
163 op_def = op_dict[node.op]
164 producer_op_def = producer_op_dict[node.op]
165 # We make a copy of node.attr to iterate through since we may modify
166 # node.attr inside the loop.
167 for key in list(node.attr):
168 if _FindAttrInOpDef(key, op_def) is None:
169 # No attr_def in consumer, look in producer.
170 attr_def = _FindAttrInOpDef(key, producer_op_def)
171 if (attr_def and attr_def.HasField('default_value') and
172 node.attr[key] == attr_def.default_value):
173 # Unknown attr had default value in producer, delete it so it can be
174 # understood by consumer.
175 del node.attr[key]
176
177
178def _ConvertInputMapValues(name, input_map):

Callers 1

Calls 1

_FindAttrInOpDefFunction · 0.85

Tested by

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