""" Copyright (C) 2018-2020 Intel Corporation Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ import numpy as np from mo.graph.graph import Graph from mo.middle.replacement import MiddleReplacementPattern from mo.ops.const import Const class AnchorToPriorBoxes(MiddleReplacementPattern): """ Crop anchors consts before replacing subgraph with all anchors """ enabled = True force_clean_up = True graph_condition = [lambda graph: graph.graph['fw'] == 'mxnet' and graph.graph['cmd_params'].enable_ssd_gluoncv] def run_after(self): from extensions.middle.pass_separator import MiddleStart return [MiddleStart] def pattern(self): return dict( nodes=[ ('const', dict(op='Const')), ('const_data', dict(kind='data')), ('slice_like', dict(op='Crop')), ('slice_like_out', dict(kind='data')), ('reshape', dict(op='Reshape')), ], edges=[ ('const', 'const_data'), ('const_data', 'slice_like', {'in': 0}), ('slice_like', 'slice_like_out'), ('slice_like_out', 'reshape'), ] ) def replace_pattern(self, graph: Graph, match: dict): slice_like = match['slice_like'] anchor_node = slice_like.in_port(0).get_source().node reshape = slice_like.out_nodes()[0].out_node() slice_shape = slice_like.out_nodes()[0].shape anchor_node.value = np.copy(anchor_node.value[:slice_shape[0], :slice_shape[1], :slice_shape[2], :slice_shape[3], :slice_shape[4]]) anchor_node.shape = slice_shape val_node = Const(graph, {'name': slice_like.name +'/croped_', 'value': anchor_node.value[:slice_shape[0], :slice_shape[1], :slice_shape[2], :slice_shape[3], :slice_shape[4]], 'shape': slice_shape}).create_node_with_data() slice_like.in_port(0).disconnect() slice_like.in_port(1).disconnect() slice_like.out_port(0).disconnect() reshape.in_port(0).connect(val_node.in_node().out_port(0))