36 lines
1.2 KiB
Python
36 lines
1.2 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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import numpy as np
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from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE
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from extensions.ops.parameter import Parameter
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from mo.front.extractor import FrontExtractorOp
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class PlaceholderFrontExtractor(FrontExtractorOp):
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op = 'Parameter'
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enabled = True
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@classmethod
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def extract(cls, node):
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t_type = node.pb.type.tensor_type
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attrs = {
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'shape': np.array([d.dim_value for d in t_type.shape.dim], dtype=np.int64),
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'data_type': TENSOR_TYPE_TO_NP_TYPE[t_type.elem_type]
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}
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Parameter.update_node_stat(node, attrs)
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return cls.enabled
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