# 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 class TestSequenceConcat(OpTest): def setLoD(self): self.lod1 = [7, 3] self.lod2 = [12, 8] self.out_lod = [19, 11] def setUp(self): x1 = np.random.random(size=(10, 80)).astype('float32') x2 = np.random.random(size=(20, 80)).astype('float32') self.setLoD() out = np.concatenate((x1[0:self.lod1[0]], x2[0:self.lod2[0]], x1[self.lod1[0]:], x2[self.lod2[0]:])) self.op_type = "sequence_concat" self.inputs = { 'X': [("x1", (x1, [self.lod1])), ("x2", (x2, [self.lod2]))] } self.outputs = {"Out": (out, [self.out_lod])} def test_output(self): self.check_output() def test_dx(self): self.check_grad(inputs_to_check=['x1', 'x2'], output_names="Out") class TestSequenceConcatCase2(TestSequenceConcat): def setLoD(self): self.lod1 = [10, 0] self.lod2 = [12, 8] self.out_lod = [22, 8] class TestSequenceConcatCase3(TestSequenceConcat): def setLoD(self): self.lod1 = [10, 0] self.lod2 = [20, 0] self.out_lod = [30, 0] class TestSequenceConcatCase4(TestSequenceConcat): def setLoD(self): self.lod1 = [0, 10] self.lod2 = [0, 20] self.out_lod = [0, 30] class TestSequenceConcatCase5(TestSequenceConcat): def setLoD(self): self.lod1 = [0, 10] self.lod2 = [20, 0] self.out_lod = [20, 10] if __name__ == '__main__': unittest.main()