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80 lines
2.5 KiB
80 lines
2.5 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 unittest
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import numpy as np
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from op_test import OpTest
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def sequence_erase(in_seq, lod0, tokens):
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new_lod0 = [0]
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out_seq = []
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for i in range(0, len(lod0) - 1):
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num_out = 0
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for dat in in_seq[lod0[i]:lod0[i + 1]]:
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if dat not in tokens:
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out_seq.append(dat)
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num_out += 1
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new_lod0.append(new_lod0[-1] + num_out)
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return np.array(out_seq).astype("int32"), new_lod0
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class TestSequenceEraseOpInt32(OpTest):
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def setUp(self):
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self.op_type = "sequence_erase"
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in_seq = np.random.randint(0, 10, (30, 1)).astype("int32")
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lod = [[0, 9, 13, 24, 30]]
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tokens = [2, 3, 5]
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out_seq, new_lod0 = sequence_erase(in_seq, lod[0], tokens)
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self.attrs = {'tokens': tokens}
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self.inputs = {'X': (in_seq, lod)}
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self.outputs = {'Out': (out_seq, [new_lod0])}
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def test_check_output(self):
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self.check_output()
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class TestSequenceEraseOpInt64(OpTest):
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def setUp(self):
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self.op_type = "sequence_erase"
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in_seq = np.random.randint(0, 10, (30, 1)).astype("int64")
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lod = [[0, 9, 13, 24, 30]]
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tokens = [2, 3, 5]
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out_seq, new_lod0 = sequence_erase(in_seq, lod[0], tokens)
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self.attrs = {'tokens': tokens}
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self.inputs = {'X': (in_seq, lod)}
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self.outputs = {'Out': (out_seq, [new_lod0])}
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def test_check_output(self):
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self.check_output()
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class TestSequenceEraseOpEmpty(OpTest):
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def setUp(self):
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self.op_type = "sequence_erase"
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in_seq = np.random.randint(0, 10, (30, 1)).astype("int32")
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lod = [[0, 9, 13, 24, 30]]
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tokens = []
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out_seq, new_lod0 = sequence_erase(in_seq, lod[0], tokens)
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self.attrs = {'tokens': tokens}
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self.inputs = {'X': (in_seq, lod)}
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self.outputs = {'Out': (out_seq, [new_lod0])}
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def test_check_output(self):
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self.check_output()
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if __name__ == '__main__':
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unittest.main()
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