Evgenya Stepyreva
802d605bff
* [ MO ] KSO ON by default. Introduce static_shape MO key, remove keep_shape_ops key usages * keep_shape_ops -> static_shape * static_shape = False by default * Fix Proposal-4 shape infer * style-apply * Fix Layout Change for ShapeOf paths
104 lines
4.5 KiB
Python
104 lines
4.5 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.back.ForceStrictPrecision import ForceStrictPrecision
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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, rename_nodes
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from mo.ops.const import Const
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from mo.ops.shape import Shape
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from mo.ops.strided_slice import StridedSlice
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from mo.ops.unsqueeze import Unsqueeze
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class PriorboxMutation(BackReplacementPattern):
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enabled = True
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force_shape_inference = True
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def run_before(self):
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return [ForceStrictPrecision]
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def pattern(self):
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return dict(
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nodes=[
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('pb', {'type': lambda node_type: node_type in ['PriorBox', 'PriorBoxClustered']})
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],
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edges=[]
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)
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def replace_pattern(self, graph: Graph, match: dict):
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node = match['pb']
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name = node.soft_get('name', node.id)
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graph.graph['cmd_params'].static_shape = False
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assert len(node.in_ports()) == 2
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begin = Const(graph, {'value': np.array([2], dtype=np.int32), 'name': name + '/ss_begin'}).create_node()
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end = Const(graph, {'value': np.array([4], dtype=np.int32), 'name': name + '/ss_end'}).create_node()
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stride = Const(graph, {'value': np.array([1], dtype=np.int32), 'name': name + '/ss_stride'}).create_node()
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shape_0 = Shape(graph, {'name': name + '/0_port'}).create_node()
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ss_0 = StridedSlice(graph, {'name': name + '/ss_0_port',
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'begin_mask': np.array([1], dtype=np.int32),
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'end_mask': np.array([0], dtype=np.int32),
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'new_axis_mask': np.array([0], dtype=np.int32),
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'shrink_axis_mask': np.array([0], dtype=np.int32),
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'ellipsis_mask': np.array([0], dtype=np.int32)}).create_node()
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shape_0.out_port(0).connect(ss_0.in_port(0))
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begin.out_port(0).connect(ss_0.in_port(1))
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end.out_port(0).connect(ss_0.in_port(2))
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stride.out_port(0).connect(ss_0.in_port(3))
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source = node.in_port(0).get_connection().get_source()
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node.in_port(0).disconnect()
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source.connect(shape_0.in_port(0))
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ss_0.out_port(0).connect(node.in_port(0))
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shape_1 = Shape(graph, {'name': name + '/1_port'}).create_node()
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ss_1 = StridedSlice(graph, {'name': name + '/ss_1_port',
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'begin_mask': np.array([1], dtype=np.int32),
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'end_mask': np.array([0], dtype=np.int32),
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'new_axis_mask': np.array([0], dtype=np.int32),
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'shrink_axis_mask': np.array([0], dtype=np.int32),
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'ellipsis_mask': np.array([0], dtype=np.int32)}).create_node()
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shape_1.out_port(0).connect(ss_1.in_port(0))
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begin.out_port(0).connect(ss_1.in_port(1))
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end.out_port(0).connect(ss_1.in_port(2))
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stride.out_port(0).connect(ss_1.in_port(3))
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source = node.in_port(1).get_connection().get_source()
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node.in_port(1).disconnect()
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source.connect(shape_1.in_port(0))
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ss_1.out_port(0).connect(node.in_port(1))
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ss_0['force_precision_in_ports'] = {1: 'int64', 2: 'int64', 3: 'int64'}
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ss_1['force_precision_in_ports'] = {1: 'int64', 2: 'int64', 3: 'int64'}
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node['need_shape_inference'] = True
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node['override_output_shape'] = True
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node['V10_infer'] = True
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unsqueeze = create_op_node_with_second_input(graph, Unsqueeze, int64_array([0]), {'name': name + '/unsqueeze'})
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naked_priorbox_name = name + '/naked_not_unsqueezed'
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rename_nodes([(node, naked_priorbox_name), (unsqueeze, name)])
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node.out_port(0).get_connection().set_source(unsqueeze.out_port(0))
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node.out_port(0).connect(unsqueeze.in_port(0))
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