59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
"""
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Copyright (C) 2017-2020 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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import numpy as np
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from mo.graph.graph import Node, Graph
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from mo.ops.op import Op
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class ConstantFill(Op):
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""" Constant blob generation by broadcasting specified value to a given shape.
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It is assumed that there is no equivalent of this op in IE,
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so it is usually relevant to constant folding.
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"""
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op = 'ConstantFill'
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def __init__(self, graph: Graph, attrs: dict):
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mandatory_props = {
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'type': None,
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'op': __class__.op,
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'input_as_shape': 1,
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'in_ports_count': 1,
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'out_ports_count': 1,
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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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'input_as_shape',
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'fill_value'
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]
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@staticmethod
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def infer(node: Node):
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assert len(node.in_nodes()) == 1
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assert node.fill_value is not None
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assert node.input_as_shape
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shape = node.in_node(0).value
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assert shape is not None
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node.out_node(0).value = np.full(shape, node.fill_value, np.float32)
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node.out_node(0).shape = np.array(node.out_node(0).value.shape, dtype=np.int64)
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