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
71 lines
2.2 KiB
Python
71 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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from mo.back.replacement import BackReplacementPattern
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from mo.graph.graph import Graph
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class KaldiRemoveMemoryOutputBackReplacementPattern(BackReplacementPattern):
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enabled = True
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def run_after(self):
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from extensions.back.pass_separator import BackFinish
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return [BackFinish]
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def run_before(self):
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from extensions.back.SpecialNodesFinalization import CreateConstNodesReplacement
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return [CreateConstNodesReplacement]
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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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('memory_node', dict(op='Assign')),
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('data_node', dict(kind='data')),
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('op_output', dict(op='Result'))
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],
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edges=[
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('memory_node', 'data_node'),
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('data_node', 'op_output')
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]
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)
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@staticmethod
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def replace_pattern(graph: Graph, match: dict):
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"""
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Need to find the pattern: Memory -> Data -> Result
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It is needed to make Memory nodes appear in IR,
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but they are output nodes by default and we remove the Result node after each output memory.
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DO NOT use graph clean up after it
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otherwise Memory nodes would be removed as they are not on the path from input to output
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Parameters
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----------
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graph : Graph
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Graph with loaded model.
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match : dict
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Patterns which were found in graph structure.
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"""
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memory = match['memory_node']
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data = match['data_node']
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op_output = match['op_output']
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graph.remove_edge(memory.id, data.id)
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graph.remove_node(data.id)
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graph.remove_node(op_output.id)
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