63 lines
2.6 KiB
Python
63 lines
2.6 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.back.ForceStrictPrecision import ForceStrictPrecision
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from extensions.back.ReduceToPooling import ReduceReplacer
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from mo.back.replacement import BackReplacementPattern
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from mo.front.common.partial_infer.utils import int64_array
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from mo.front.tf.graph_utils import create_op_node_with_second_input
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from mo.graph.graph import Graph
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from mo.ops.squeeze import Squeeze
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class Reshape0DToSqueeze(BackReplacementPattern):
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"""
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Transformation looks for the Reshape layers which generate 0D tensor and replace them with Reshape_1D->Squeeze to
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overcome issue the IE doesn't 1D constants with value [0] which is generated for the Reshape to OD case.
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"""
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enabled = True
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run_not_recursively = True
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force_shape_inference = True
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def run_after(self):
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return [ReduceReplacer]
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def run_before(self):
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return [ForceStrictPrecision]
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def find_and_replace_pattern(self, graph: Graph):
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for reshape_node in graph.get_op_nodes(op='Reshape'):
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output_shape = reshape_node.in_port(1).data.get_value()
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shape_producer_node = reshape_node.in_port(1).get_source().node
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assert output_shape is not None
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if np.array_equal(output_shape, []) and shape_producer_node.op == 'Const':
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log.debug('Reshape node {} changes shape to 0D tensor.'.format(reshape_node.name))
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shape_producer_node.value = int64_array([1])
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shape_producer_node.shape = int64_array([1])
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shape_producer_node['need_shape_inference'] = True
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shape_producer_node['override_output_shape'] = True
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reshape_node['need_shape_inference'] = True
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reshape_node['override_output_shape'] = True
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squeeze_0D = create_op_node_with_second_input(graph, Squeeze, int64_array([0]))
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squeeze_0D['override_output_shape'] = True
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reshape_node.out_port(0).get_connection().insert_node(squeeze_0D)
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