50 lines
1.5 KiB
Python
50 lines
1.5 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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from mo.graph.graph import Node, Graph
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from mo.ops.op import Op
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class CTCGreedyDecoderOp(Op):
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op = 'CTCGreedyDecoder'
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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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'in_ports_count': 2,
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'out_ports_count': 1,
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'infer': CTCGreedyDecoderOp.ctc_greedy_decoder_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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'ctc_merge_repeated'
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]
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@staticmethod
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def ctc_greedy_decoder_infer(node: Node):
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outn = node.out_node(0)
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inn = node.in_node(0)
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inn2 = node.in_node(1)
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outn.shape = np.ones(4, dtype=np.int)
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assert inn.shape[1] == inn2.shape[1], 'Batch for CTCGreedyDecoder should be the same in both inputs'
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outn.shape[0] = inn.shape[1]
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outn.shape[1] = inn.shape[0]
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