58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
"""
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Copyright (c) 2018-2019 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 mo.graph.graph import Graph
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from mo.middle.passes.eliminate import remove_op_node_with_data_node
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from mo.middle.replacement import MiddleReplacementPattern
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class NormalizePad(MiddleReplacementPattern):
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"""
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The replacer finds all Pad operations and remove inputs with index 1 and 2. These inputs contain padding values
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for each input tensor dimension and optionally the pad value for case of padding with a 'constant' mode.
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The Pad layer is removed if all padding values are equal to 0.
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"""
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enabled = True
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def run_after(self):
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from extensions.middle.pass_separator import MiddleStart
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return [MiddleStart]
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def run_before(self):
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from extensions.middle.pass_separator import MiddleFinish
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return [MiddleFinish]
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def pattern(self):
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return dict(
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nodes=[
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('pad', dict(kind='op', op='Pad'))
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],
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edges=[]
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)
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def replace_pattern(self, graph: Graph, match: dict):
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node = match['pad']
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for port, input_node in node.in_nodes().items():
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if port != 0:
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graph.remove_edge(input_node.id, node.id)
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# remove Pad operation if all pads are equal to 0
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if np.all(node.pads == 0):
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remove_op_node_with_data_node(graph, node)
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