59 lines
1.9 KiB
Python
59 lines
1.9 KiB
Python
"""
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Copyright (c) 2018-2019 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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import numpy as np
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import logging as log
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from mo.graph.graph import Graph
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from mo.ops.op import Op
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class Shape(Op):
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op = 'ShapeOf'
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enabled = True
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'type': __class__.op,
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'op': __class__.op,
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'infer': __class__.infer,
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'in_ports_count': 1,
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'out_ports_count': 1,
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}, attrs)
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def supported_attrs(self):
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return []
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@staticmethod
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def infer(node):
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if len(node.in_nodes()) != 1:
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log.warning('ShapeOf operation should have exact one input node, but it has {}'.format(len(node.in_nodes())))
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return
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if node.in_node(0).shape is not None:
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value = np.array(node.in_node(0).shape)
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node.out_node().shape = np.array(value.shape, dtype=np.int64)
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if not node.has_and_set('stop_value_propagation'):
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if node.has_valid('data_type'):
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node.out_node().value = np.array(value, dtype=node.data_type)
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else:
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node.out_node().value = np.array(value)
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node.out_node().shape = np.array(value.shape, dtype=np.int64)
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else:
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log.info('Can\'t infer shape and value for shape operation due to undefined input shape')
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