# 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_enumerate(input_seq, win_size, pad_value): out_seq = [] for idx in range(0, len(input_seq)): single_seq = [] for word_idx in range(win_size): word_pos = idx + word_idx dat = input_seq[word_pos] if word_pos < len(input_seq) \ else pad_value single_seq.append(dat) out_seq.append(single_seq) return out_seq class TestSequenceEnumerateOp(OpTest): def setUp(self): self.op_type = "sequence_enumerate" self.init_test_case() self.inputs = {'X': (self.in_seq, self.lod)} self.attrs = {'win_size': self.win_size, 'pad_value': self.pad_value} self.outputs = {'Out': (self.out_seq, self.lod)} def test_check_output(self): self.check_output() def init_test_case(self): self.in_seq = np.random.randint(0, 10, (30, 1)).astype("int32") self.lod = [[9, 4, 11, 6]] self.win_size = 2 self.pad_value = 0 out_seq = sequence_enumerate(self.in_seq, self.win_size, self.pad_value) self.out_seq = np.array(out_seq).astype("int32") class TesSequenceEnumerateOpInt64(TestSequenceEnumerateOp): def init_test_case(self): self.in_seq = np.random.randint(0, 10, (30, 1)).astype("int64") self.lod = [[9, 4, 11, 6]] self.win_size = 2 self.pad_value = 0 out_seq = sequence_enumerate(self.in_seq, self.win_size, self.pad_value) self.out_seq = np.array(out_seq).astype("int64") class TestSequenceEnumerateOpMaxWinSize(TestSequenceEnumerateOp): def init_test_case(self): self.in_seq = np.random.randint(0, 10, (30, 1)).astype("int32") self.lod = [[9, 4, 11, 6]] self.win_size = 30 self.pad_value = 0 out_seq = sequence_enumerate(self.in_seq, self.win_size, self.pad_value) self.out_seq = np.array(out_seq).astype("int32") if __name__ == "__main__": unittest.main()