55 lines
2.2 KiB
Python
55 lines
2.2 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 logging as log
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import numpy as np
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from extensions.middle.FuseReshapesSequence import FuseReshapesSequence
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from extensions.middle.pass_separator import PostMiddleStart
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from mo.graph.graph import Graph
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from mo.middle.replacement import MiddleReplacementPattern
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class RemoveRedundantReshapes(MiddleReplacementPattern):
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"""
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Finds Reshape layers that does nothing and removes them.
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"""
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enabled = True
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force_clean_up = True
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run_not_recursively = True # non-unified data nodes view in TI body (no Const ops, bare data node)
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def run_after(self):
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return [FuseReshapesSequence]
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def run_before(self):
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return [PostMiddleStart]
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def find_and_replace_pattern(self, graph: Graph):
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for reshape_node in graph.get_op_nodes(type='Reshape'):
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in_ports = [port for port in reshape_node.in_ports().values() if not port.disconnected()]
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assert len(in_ports) == 2, "`Reshape` node must have 2 inputs"
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previous_dim_op = reshape_node.in_port(1).get_source().node.op
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if previous_dim_op != 'Const':
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continue
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dim = reshape_node.in_port(1).get_connection().data.get_value()
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in_shape = reshape_node.in_port(0).data.get_shape()
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if np.array_equal(dim, in_shape) and len(reshape_node.out_nodes()):
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log.debug("Useless reshape with dim {} was deleted: {}".format(str(dim), reshape_node.name))
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reshape_node.out_port(0).get_connection().set_source(reshape_node.in_port(0).get_source())
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graph.remove_nodes_from([reshape_node.out_node(0).id, reshape_node.id])
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