import unittest import numpy as np from op_test import OpTest class TestSequenceExpand(OpTest): def set_data(self): x_data = np.random.uniform(0.1, 1, [3, 1]).astype('float32') y_data = np.random.uniform(0.1, 1, [8, 1]).astype('float32') y_lod = [[0, 1, 4, 8]] self.inputs = {'X': x_data, 'Y': (y_data, y_lod)} def compute(self): x = self.inputs['X'] x_data, x_lod = x if type(x) == tuple else (x, None) n = 1 + x_data.shape[0] if not x_lod else len(x_lod[0]) y_data, y_lod = self.inputs['Y'] repeats = [((y_lod[-1][i + 1] - y_lod[-1][i])) for i in range(len(y_lod[-1]) - 1)] out = x_data.repeat(repeats, axis=0) self.outputs = {'Out': out} def setUp(self): self.op_type = 'sequence_expand' self.set_data() self.compute() def test_check_output(self): self.check_output() def test_check_grad(self): self.check_grad(["X"], "Out") class TestSequenceExpandCase1(TestSequenceExpand): def set_data(self): x_data = np.random.uniform(0.1, 1, [5, 1]).astype('float32') x_lod = [[0, 2, 5]] y_data = np.random.uniform(0.1, 1, [13, 1]).astype('float32') y_lod = [[0, 2, 5], [0, 2, 4, 7, 10, 13]] self.inputs = {'X': (x_data, x_lod), 'Y': (y_data, y_lod)} class TestSequenceExpandCase2(TestSequenceExpand): def set_data(self): x_data = np.random.uniform(0.1, 1, [1, 2, 2]).astype('float32') x_lod = [[0, 1]] y_data = np.random.uniform(0.1, 1, [2, 2, 2]).astype('float32') y_lod = [[0, 2]] self.inputs = {'X': (x_data, x_lod), 'Y': (y_data, y_lod)} class TestSequenceExpandCase3(TestSequenceExpand): def set_data(self): x_data = np.random.uniform(0.1, 1, [4, 1]).astype('float32') x_lod = [[0, 1, 2, 3, 4]] y_data = np.random.uniform(0.1, 1, [6, 1]).astype('float32') y_lod = [[0, 2, 4, 4, 6]] self.inputs = {'X': (x_data, x_lod), 'Y': (y_data, y_lod)} if __name__ == '__main__': unittest.main()