Publishing 2019 R2 content (#223)
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"""
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Copyright (c) 2019 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.layout import get_batch_dim, get_features_dim, shape_for_layout
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from mo.graph.graph import Node, Graph
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from mo.ops.op import Op, PermuteAttrs
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class Interpolate(Op):
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op = 'Interpolate'
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enabled = False
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def __init__(self, graph: Graph, attrs: dict):
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mandatory_props = {
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'type': __class__.op,
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'op': __class__.op,
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'axes': None,
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'mode': None,
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'align_corners': 0,
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'antialias': 0,
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'pads_begin': 0,
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'pads_end': 0,
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'in_ports_count': 2,
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'out_ports_count': 1,
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'force_precision_in_ports': {1:'int64'},
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'infer': __class__.infer,
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}
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super().__init__(graph, mandatory_props, attrs)
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def supported_attrs(self):
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return [
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('axes', lambda node: ','.join(map(str, node.axes))),
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'mode', 'align_corners', 'antialias', 'pads_begin', 'pads_end',
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]
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@staticmethod
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def infer(node: Node):
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layout = node.graph.graph['layout']
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assert len(layout) == 4
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assert len([p for p in node.in_ports().values() if not p.disconnected()])
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assert node.has_valid('mode')
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assert node.has_valid('axes')
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src_shape = node.in_port(0).data.get_shape()
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assert src_shape is not None
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dst_shape = node.in_port(1).data.get_value()
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assert dst_shape is not None
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out_height = dst_shape[0]
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out_width = dst_shape[1]
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node.out_node().shape = shape_for_layout(layout,
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batch=src_shape[get_batch_dim(layout, 4)],
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features=src_shape[get_features_dim(layout, 4)],
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height=out_height,
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width=out_width)
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PermuteAttrs.create_permute_attrs(node, attrs=[('axes', 'input:0')])
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