# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. # # 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. from __future__ import print_function import unittest import numpy as np from op_test import OpTest def sequence_erase(in_seq, lod0, tokens): new_lod0 = [] out_seq = [] offset = 0 for i in range(0, len(lod0)): num_out = 0 for dat in in_seq[offset:(offset + lod0[i])]: if dat not in tokens: out_seq.append(dat) num_out += 1 offset += lod0[i] new_lod0.append(num_out) return np.array(out_seq).astype("int32"), new_lod0 class TestSequenceEraseOpInt32(OpTest): def setUp(self): self.op_type = "sequence_erase" in_seq = np.random.randint(0, 10, (30, 1)).astype("int32") lod = [[9, 4, 11, 6]] tokens = [2, 3, 5] out_seq, new_lod0 = sequence_erase(in_seq, lod[0], tokens) self.attrs = {'tokens': tokens} self.inputs = {'X': (in_seq, lod)} self.outputs = {'Out': (out_seq, [new_lod0])} def test_check_output(self): self.check_output() class TestSequenceEraseOpInt32LoD2(OpTest): def setUp(self): self.op_type = "sequence_erase" in_seq = np.random.randint(0, 10, (30, 1)).astype("int32") lod = [[1, 3], [9, 4, 11, 6]] tokens = [2, 3, 5] out_seq, new_lod0 = sequence_erase(in_seq, lod[-1], tokens) self.attrs = {'tokens': tokens} self.inputs = {'X': (in_seq, lod)} self.outputs = {'Out': (out_seq, lod[:-1] + [new_lod0])} def test_check_output(self): self.check_output() class TestSequenceEraseOpInt64(OpTest): def setUp(self): self.op_type = "sequence_erase" in_seq = np.random.randint(0, 10, (30, 1)).astype("int64") lod = [[9, 4, 11, 6]] tokens = [2, 3, 5] out_seq, new_lod0 = sequence_erase(in_seq, lod[0], tokens) self.attrs = {'tokens': tokens} self.inputs = {'X': (in_seq, lod)} self.outputs = {'Out': (out_seq, [new_lod0])} def test_check_output(self): self.check_output() class TestSequenceEraseOpEmpty(OpTest): def setUp(self): self.op_type = "sequence_erase" in_seq = np.random.randint(0, 10, (30, 1)).astype("int32") lod = [[9, 4, 11, 6]] tokens = [] out_seq, new_lod0 = sequence_erase(in_seq, lod[0], tokens) self.attrs = {'tokens': tokens} self.inputs = {'X': (in_seq, lod)} self.outputs = {'Out': (out_seq, [new_lod0])} def test_check_output(self): self.check_output() if __name__ == '__main__': unittest.main()