dec7df17ed
* Remove unnnecessary ir_version checks in the MO * Cleaned up 'backend_attrs_v2' function * Small clean up from the 'TFCustomSubgraphCall' * Clean up the MO extractor attributes mapping * Renamed PreluOp to PReLU
44 lines
1.6 KiB
Python
44 lines
1.6 KiB
Python
"""
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Copyright (C) 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.front.common.partial_infer.utils import int64_array
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from mo.front.common.replacement import FrontReplacementPattern
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from mo.front.tf.graph_utils import create_op_with_const_inputs
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from mo.graph.graph import Graph
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from mo.ops.reshape import Reshape
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class OneHotDepthNormalizer(FrontReplacementPattern):
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"""
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Transformation performs squeezing one-element tensors on 1st input in OneHot into 0D scalars. This transformation
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allows to avoid problems with some models produced by tf2onnx which have 1D depth in OneHot.
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"""
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enabled = True
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def pattern(self):
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return dict(
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nodes=[
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('onehot', dict(kind='op', type='OneHot'))],
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edges=[]
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)
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@staticmethod
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def replace_pattern(graph: Graph, match: dict):
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node = match['onehot']
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node_name = node.soft_get('name', node.id)
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reshape = create_op_with_const_inputs(graph, Reshape, {1: int64_array([])}, {'name': node_name + '/Reshape'})
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node.in_port(1).get_connection().insert_node(reshape)
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