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90 lines
2.7 KiB
90 lines
2.7 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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#
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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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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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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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import sys
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import unittest
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import numpy as np
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from op_test import OpTest
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from test_softmax_op import stable_softmax
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def CTCAlign(input, lod, blank, merge_repeated):
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lod0 = lod[0]
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result = []
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cur_offset = 0
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for i in range(len(lod0)):
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prev_token = -1
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for j in range(cur_offset, cur_offset + lod0[i]):
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token = input[j][0]
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if (token != blank) and not (merge_repeated and
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token == prev_token):
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result.append(token)
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prev_token = token
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cur_offset += lod0[i]
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result = np.array(result).reshape([len(result), 1]).astype("int32")
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if len(result) == 0:
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result = np.array([-1])
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return result
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class TestCTCAlignOp(OpTest):
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def config(self):
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self.op_type = "ctc_align"
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self.input_lod = [[11, 7]]
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self.blank = 0
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self.merge_repeated = False
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self.input = np.array(
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[0, 1, 2, 2, 0, 4, 0, 4, 5, 0, 6, 6, 0, 0, 7, 7, 7, 0]).reshape(
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[18, 1]).astype("int32")
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def setUp(self):
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self.config()
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output = CTCAlign(self.input, self.input_lod, self.blank,
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self.merge_repeated)
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self.inputs = {"Input": (self.input, self.input_lod), }
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self.outputs = {"Output": output}
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self.attrs = {
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"blank": self.blank,
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"merge_repeated": self.merge_repeated
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}
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def test_check_output(self):
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self.check_output()
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pass
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class TestCTCAlignOpCase1(TestCTCAlignOp):
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def config(self):
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self.op_type = "ctc_align"
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self.input_lod = [[11, 8]]
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self.blank = 0
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self.merge_repeated = True
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self.input = np.array(
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[0, 1, 2, 2, 0, 4, 0, 4, 5, 0, 6, 6, 0, 0, 7, 7, 7, 0, 0]).reshape(
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[19, 1]).astype("int32")
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class TestCTCAlignOpCase2(TestCTCAlignOp):
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def config(self):
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self.op_type = "ctc_align"
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self.input_lod = [[4]]
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self.blank = 0
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self.merge_repeated = True
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self.input = np.array([0, 0, 0, 0]).reshape([4, 1]).astype("int32")
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if __name__ == "__main__":
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unittest.main()
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