141 lines
4.5 KiB
Python
141 lines
4.5 KiB
Python
"""
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Copyright (C) 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.back.CutMemory import CutMemoryInput, CutMemoryOutput
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from mo.back.replacement import BackReplacementPattern
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from mo.graph.graph import Graph
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from mo.ops.memory import Memory
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"""
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All transformations in this file should be removed after removing IR v7 support
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"""
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class ReplaceReadValueByMemory(BackReplacementPattern):
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"""
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Replace ReadValue by Memory. Should be removed after v7 IR support removing.
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"""
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enabled = True
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graph_condition = [lambda graph: not graph.graph['cmd_params'].generate_experimental_IR_V10]
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force_clean_up = True
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def run_after(self):
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return [CutMemoryInput]
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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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('op', dict(kind='op', op='ReadValue'))],
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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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node = match['op']
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node_id = node['variable_id']
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node.in_port(0).disconnect()
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new_in = Memory(graph, {'name': node.id, 'id': node_id, 'index': 1, 'size': 2,
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'shape': list(node.out_port(0).data.get_shape())[1:]}).create_node()
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for dest in node.out_port(0).get_destinations():
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dest.disconnect()
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new_in.out_port(0).connect(dest)
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class ReplaceAssignByMemory(BackReplacementPattern):
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"""
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Replace Assign by Memory. Should be removed after v7 IR support removing.
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"""
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enabled = True
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graph_condition = [lambda graph: not graph.graph['cmd_params'].generate_experimental_IR_V10]
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force_clean_up = True
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def run_after(self):
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return [CutMemoryOutput]
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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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('op', dict(kind='op', op='Assign'))],
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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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node = match['op']
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node_id = node['variable_id']
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new_out = Memory(graph, {'name': node.id, 'id': node_id, 'index': 0, 'size': 2,
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'shape': list(node.out_port(0).data.get_shape())[1:]}).create_node()
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node.in_port(0).get_source().connect(new_out.in_port(0))
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node.in_port(0).disconnect()
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node.out_port(0).get_connection().set_source(new_out.out_port(0))
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class KaldiRemoveMemoryOutputBackReplacementPatternV7(BackReplacementPattern):
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enabled = True
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graph_condition = [lambda graph: not graph.graph['cmd_params'].generate_experimental_IR_V10]
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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 RemoveOutputOps
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return [RemoveOutputOps]
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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='Memory')),
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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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