Evgeny Lazarev
c8dd831fc3
* Added transformation config to support automl efficientdet-4 model * Added configuration file to convert Automl EfficientDet model * Updated unit test for Pack * Added instruction on how to convert EfficientDet Tensorflow model * Updated documentation on how to convert EfficientDet model * Updated a documentation with instruction on how to convert Automl EfficientDet.
41 lines
1.7 KiB
Python
41 lines
1.7 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.front.common.partial_infer.utils import int64_array
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from mo.front.common.replacement import FrontReplacementOp
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from mo.front.tf.graph_utils import create_op_with_const_inputs
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from mo.graph.graph import Node, Graph, rename_nodes
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from mo.ops.concat import Concat
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from mo.ops.unsqueeze import Unsqueeze
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class Pack(FrontReplacementOp):
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op = "Pack"
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enabled = True
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def replace_op(self, graph: Graph, node: Node):
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out_node = Concat(graph, {'axis': node.axis, 'in_ports_count': len(node.in_ports())}).create_node()
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pack_name = node.soft_get('name', node.id)
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for ind in node.in_ports():
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unsqueeze_node = create_op_with_const_inputs(graph, Unsqueeze, {1: int64_array([node.axis])},
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{'name': node.soft_get('name', node.id) + '/Unsqueeze'})
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node.in_port(ind).get_connection().set_destination(unsqueeze_node.in_port(0))
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unsqueeze_node.out_port(0).connect(out_node.in_port(ind))
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rename_nodes([(node, pack_name + '/TBR'), (out_node, pack_name)])
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return [out_node.id]
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