54 lines
1.7 KiB
Python
54 lines
1.7 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 extensions.ops.MatMul import FullyConnected
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from mo.front.caffe.extractors.utils import weights_biases
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from mo.front.extractor import FrontExtractorOp
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class InnerProductFrontExtractor(FrontExtractorOp):
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op = 'innerproduct'
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enabled = True
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@classmethod
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def extract(cls, node):
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param = node.pb.inner_product_param
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pb_model = node.model_pb
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attrs = {
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'out-size': param.num_output,
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'transpose_weights': not param.transpose,
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}
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attrs.update(weights_biases(param.bias_term, pb_model))
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FullyConnected.update_node_stat(node, attrs)
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return cls.enabled
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class AnotherInnerProductFrontExtractor(FrontExtractorOp):
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op = 'inner_product'
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enabled = True
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@classmethod
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def extract(cls, node):
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param = node.pb.inner_product_param
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pb_model = node.model_pb
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attrs = {
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'out-size': param.num_output,
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'transpose_weights': not param.transpose,
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}
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attrs.update(weights_biases(param.bias_term, pb_model))
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FullyConnected.update_node_stat(node, attrs)
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return cls.enabled
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