59 lines
2.3 KiB
Python
59 lines
2.3 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.gather import Gather
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from mo.front.common.partial_infer.utils import int64_array
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from mo.graph.graph import Graph
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from mo.middle.replacement import MiddleReplacementPattern
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from mo.ops.const import Const
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from mo.ops.op import PermuteAttrs
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class Deconvolution3rdInputNormalization(MiddleReplacementPattern):
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enabled = True
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force_clean_up = True
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@staticmethod
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def pattern():
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return dict(
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nodes=[
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('op', dict(kind='op', type='Deconvolution'))],
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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['op']
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if not node.has_port('in', 2) or node.in_port(2).disconnected() or not node.has_and_set('shape_input'):
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return
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if node.has_valid('layout') and not node.layout.startswith('NC') and graph.graph['layout'] == 'NCHW':
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input_shape_rank = len(node.in_port(0).data.get_shape())
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permutation = PermuteAttrs.get_nhwc_to_nchw_permutation(input_shape_rank)
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data_node = node.in_node(2)
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name = node.soft_get('name', node.id) + '/ShapeGather'
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const = Const(graph, {'value': permutation.perm, 'name': name + '/Const',
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'need_shape_inference': True}).create_node_with_data()
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axis_const = Const(graph, {'value': int64_array(0), 'name': name + '/Axis'}).create_node_with_data()
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gather = Gather(graph, {'name': name,
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'need_shape_inference': True}).create_node_with_data([data_node, const, axis_const])
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attrs = graph.get_edge_data(data_node.id, node.id, key=0).copy()
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graph.add_edge(gather.id, node.id, **attrs)
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graph.remove_edge(data_node.id, node.id)
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