52 lines
1.5 KiB
Python
52 lines
1.5 KiB
Python
"""
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Copyright (C) 2018-2020 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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from mo.graph.graph import Node
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def node_pb_arg(pb_extractor: callable):
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return lambda node: pb_extractor(node.pb)
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onnx_op_extractors = {}
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def common_onnx_fields(node: Node):
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return {
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'kind': 'op',
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'name': node.id,
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# no reliable name for an onnx node, name can be empty, so we use that surrogate built as ID in the loader
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'op': node.op if node.has_valid('op') else node.pb.op_type,
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}
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def onnx_op_extractor(node: Node, lowered_keys_map: dict):
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if not node.has_valid('pb'):
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return True, node.graph.node[node.id]
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result = common_onnx_fields(node)
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node.graph.node[node.id].update(result)
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supported = False
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op = result['op'].lower()
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if op in lowered_keys_map:
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op = lowered_keys_map[op]
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assert op in onnx_op_extractors
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attrs = onnx_op_extractors[op](node)
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if attrs:
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result.update(attrs)
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supported = True
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return supported, result
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