import unittest
import numpy as np
from op_test import OpTest


class TestSeqExpand(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 = 'seq_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 TestSeqExpandCase1(TestSeqExpand):
    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 TestSeqExpandCase2(TestSeqExpand):
    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)}


if __name__ == '__main__':
    unittest.main()

import unittest
import numpy as np
from op_test import OpTest


class TestSeqExpand(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 = 'seq_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 TestSeqExpandCase1(TestSeqExpand):
    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 TestSeqExpandCase2(TestSeqExpand):
    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 TestSeqExpandCase3(TestSeqExpand):
    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()

Add empty sequence case in unitest