Evgeny Lazarev
970b1301b5
* Removed back phase transformations related to IRv7 * Fixed setting value for the input port using the 'set_value' method * Removed front and middle phase transformations related to IRv7 * Cleanup the rest of the Model Optimizer transformations from IRv7 specific transformations * Final cleanup of the deprecated IR v7 related code * Removed 'blobs_as_input' usage in the Model Optimizer. * Removed function '_fuse_add' from the Model Optimizer since it is not used anymore. * Removed 'keep_in_IR' node attribute for FakeQuantize ops in the MO * Disabled failing gpu_engine.user_context test
135 lines
4.1 KiB
Python
135 lines
4.1 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.elementwise import Sub, Div, Negative
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from mo.back.replacement import BackReplacementPattern
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from mo.graph.graph import Node, Graph
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class Negate(BackReplacementPattern):
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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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('mul', {'type': 'Multiply'})
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],
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edges=[],
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)
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@staticmethod
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def replace_pattern(graph: Graph, match: [str, Node]):
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mul = match['mul']
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name = mul.soft_get('name', mul.id)
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mul_POS_port = None
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if mul.in_port(0).data.get_value() is not None and np.all(mul.in_port(0).data.get_value() == -1):
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mul_POS_port = mul.in_port(1)
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if mul.in_port(1).data.get_value() is not None and np.all(mul.in_port(1).data.get_value() == -1):
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mul_POS_port = mul.in_port(0)
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if mul_POS_port is None:
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return
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negative = Negative(graph, {'name': name + '/Negate'}).create_node()
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mul.out_port(0).get_connection().set_source(negative.out_port(0))
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mul_POS_port.get_connection().set_destination(negative.in_port(0))
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class EltwisesToSubtract(BackReplacementPattern):
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enabled = True
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force_clean_up = True
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def run_after(self):
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return [Negate]
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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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('neg', {'type': 'Negative'}),
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('neg_d', {}),
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('add', {'type': 'Add'})
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],
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edges=[
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('neg', 'neg_d'),
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('neg_d', 'add'),
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],
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)
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@staticmethod
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def replace_pattern(graph: Graph, match: [str, Node]):
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neg = match['neg']
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add = match['add']
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name = add.soft_get('name', add.id)
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minuend_port = add.in_port(0).get_source() \
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if add.in_port(1).get_source().node.id == neg.id else add.in_port(1).get_source()
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subtrahned_port = neg.in_port(0).get_source()
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sub = Sub(graph, {'name': name + '/sub'}).create_node()
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add.out_port(0).get_connection().set_source(sub.out_port(0))
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minuend_port.connect(sub.in_port(0))
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subtrahned_port.connect(sub.in_port(1))
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class EltwisesToDiv(BackReplacementPattern):
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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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('const', {'type': 'Const'}),
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('const_d', {'value': lambda val: val is not None and np.all(val == -1)}),
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('inv', {'type': 'Pow'}),
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('inv_d', {}),
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('mul', {'type': 'Multiply'})
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],
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edges=[
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('const', 'const_d'),
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('const_d', 'inv', {'in': 1}),
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('inv', 'inv_d'),
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('inv_d', 'mul'),
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],
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)
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@staticmethod
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def replace_pattern(graph: Graph, match: [str, Node]):
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pow = match['inv']
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mul = match['mul']
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const = match['const']
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name = mul.soft_get('name', mul.id)
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devidend_port = mul.in_port(0).get_source() if mul.in_port(1).get_source().node.id == pow.id else mul.in_port(
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1).get_source()
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divider_port = pow.in_port(0).get_source() if pow.in_port(1).get_source().node.id == const.id else pow.in_port(
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1).get_source()
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div = Div(graph, {'name': name + '/div'}).create_node()
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mul.out_port(0).get_connection().set_source(div.out_port(0))
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devidend_port.connect(div.in_port(0))
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divider_port.connect(div.in_port(1))
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