43 lines
1.5 KiB
Python
43 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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import numpy as np
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from extensions.ops.split import AttributedVariadicSplit, AttributedSplit
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from mo.front.common.partial_infer.utils import int64_array
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from mo.front.extractor import FrontExtractorOp
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from mo.front.onnx.extractors.utils import onnx_attr, onnx_get_num_outputs
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class SplitFrontExtractor(FrontExtractorOp):
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op = 'Split'
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enabled = True
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@classmethod
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def extract(cls, node):
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axis = onnx_attr(node, 'axis', 'i', default=0, dst_type=np.int64)
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size_splits = onnx_attr(node, 'split', 'ints', default=None, dst_type=int64_array)
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if size_splits is None:
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AttributedSplit.update_node_stat(node, {
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'axis': axis,
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'num_splits': onnx_get_num_outputs(node),
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})
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else:
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AttributedVariadicSplit.update_node_stat(node, {
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'axis': axis,
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'size_splits': size_splits,
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})
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return cls.enabled
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