52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
"""
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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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import numpy as np
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from mo.front.common.partial_infer.elemental import copy_shape_infer
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from mo.graph.graph import Node, Graph
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from mo.middle.passes.convert_data_type import np_data_type_to_precision
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from mo.ops.op import Op
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class Cast(Op):
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op = 'Cast'
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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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'type': 'Convert',
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'infer': __class__.infer,
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'type_infer': __class__.type_infer,
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'dst_type': None,
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'in_ports_count': 1,
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'out_ports_count': 1,
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}
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super().__init__(graph, mandatory_props, attrs)
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def backend_attrs(self):
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return [('precision', lambda node: np_data_type_to_precision(node.dst_type))]
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@staticmethod
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def type_infer(node: Node):
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assert node.has_valid('dst_type'), 'Destination type of "Cast" operation should be extracted earlier'
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node.out_port(0).set_data_type(node.dst_type)
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@staticmethod
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def infer(node: Node):
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assert node.has_valid('dst_type'), 'Destination type of "Cast" operation should be extracted earlier'
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copy_shape_infer(node, lambda n: n.in_node().value.astype(n.dst_type))
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