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
39 lines
1.3 KiB
Python
39 lines
1.3 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.front.tf.FakeQuantWithMinMaxVars import FakeQuantWithMinMaxVarsToQuantize
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from mo.front.common.replacement import FrontReplacementPattern
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from mo.graph.graph import Graph
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class DisableQuantizeValuePropagation(FrontReplacementPattern):
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enabled = True
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def run_after(self):
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return [FakeQuantWithMinMaxVarsToQuantize]
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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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('quantize', dict(op='FakeQuantize', levels=lambda levels: levels != 2)),
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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: dict):
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match['quantize']['stop_value_propagation'] = True
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