# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # #Licensed under the Apache License, Version 2.0 (the "License"); #you may not use this file except in compliance with the License. #You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # #Unless required by applicable law or agreed to in writing, software #distributed under the License is distributed on an "AS IS" BASIS, #WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. #See the License for the specific language governing permissions and #limitations under the License. import sys import unittest import numpy as np from op_test import OpTest from test_softmax_op import stable_softmax def CTCAlign(input, lod, blank, merge_repeated): lod0 = lod[0] result = [] for i in range(len(lod0) - 1): prev_token = -1 for j in range(lod0[i], lod0[i + 1]): token = input[j][0] if (token != blank) and not (merge_repeated and token == prev_token): result.append(token) prev_token = token result = np.array(result).reshape([len(result), 1]).astype("int32") return result class TestCTCAlignOp(OpTest): def config(self): self.op_type = "ctc_align" self.input_lod = [[0, 11, 18]] self.blank = 0 self.merge_repeated = False self.input = np.array( [0, 1, 2, 2, 0, 4, 0, 4, 5, 0, 6, 6, 0, 0, 7, 7, 7, 0]).reshape( [18, 1]).astype("int32") def setUp(self): self.config() output = CTCAlign(self.input, self.input_lod, self.blank, self.merge_repeated) self.inputs = {"Input": (self.input, self.input_lod), } self.outputs = {"Output": output} self.attrs = { "blank": self.blank, "merge_repeated": self.merge_repeated } def test_check_output(self): self.check_output() pass class TestCTCAlignOpCase1(TestCTCAlignOp): def config(self): self.op_type = "ctc_align" self.input_lod = [[0, 11, 19]] self.blank = 0 self.merge_repeated = True self.input = np.array( [0, 1, 2, 2, 0, 4, 0, 4, 5, 0, 6, 6, 0, 0, 7, 7, 7, 0, 0]).reshape( [19, 1]).astype("int32") if __name__ == "__main__": unittest.main()