81 lines
3.2 KiB
Python
81 lines
3.2 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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import numpy as np
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from mo.graph.graph import Node, Graph
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from mo.ops.op import Op
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class Switch(Op):
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op = 'Switch'
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def __init__(self, graph: Graph, attrs: dict):
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mandatory_props = {
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'op': __class__.op,
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'infer': __class__.infer,
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'cf_infer': __class__.control_flow_infer
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}
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super().__init__(graph, mandatory_props, attrs)
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@staticmethod
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def infer(node: Node):
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assert len(node.in_nodes()) == 2
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tensor = node.in_node(0)
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port_id = node.in_node(1)
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output_shape = tensor.shape
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# Case with variable predicate
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if not port_id.has_valid('value'):
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# infer only shapes
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for _, out_node in node.graph.out_edges(node.id):
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node.graph.node[out_node]['shape'] = np.array(output_shape)
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return
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output_value = tensor.value
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for _, out_node in node.graph.out_edges(node.id):
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node.graph.node[out_node]['shape'] = np.array(output_shape)
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node.graph.node[out_node]['value'] = None if output_value is None else np.array(output_value)
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@staticmethod
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def control_flow_infer(node: Node, is_executable: bool, mark_executability: callable):
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"""
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Infers control flow through switch operation node. It marks output data nodes executability according to
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executability of current node and switch data value
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:param node: Node instance to infer control flow through
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:param is_executable: if current node is executable
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:param mark_executability: function to mark executability of node
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"""
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out_data_nodes = node.out_nodes(control_flow=True)
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node_with_switch_value = node.in_node(1)
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switch_data_0_port_node_id = [out_data_nodes[0].id] if 0 in out_data_nodes else []
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switch_data_1_port_node_id = [out_data_nodes[1].id] if 1 in out_data_nodes else []
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assert 1 <= len(switch_data_0_port_node_id) + len(switch_data_1_port_node_id) <= 2
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if not node_with_switch_value.has_valid('value'):
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# Mark both ports as executable
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resulting_switch_data_node_ids = switch_data_0_port_node_id + switch_data_1_port_node_id
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for n in resulting_switch_data_node_ids:
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mark_executability(n, True)
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else:
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switch_value = node_with_switch_value.value.item(0)
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resulting_switch_data_node_ids = [switch_data_0_port_node_id, switch_data_1_port_node_id]
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for n in resulting_switch_data_node_ids[not switch_value]:
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mark_executability(n, False)
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for n in resulting_switch_data_node_ids[switch_value]:
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mark_executability(n, is_executable)
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