test_hsigmoid_op.py

import unittest
import numpy as np
from op_test import OpTest


class TestHSigmoidOp(OpTest):
    def setUp(self):
        self.op_type = "hierarchical_sigmoid"
        num_classes = 6
        embded_size = 10
        batch_size = 5
        x = np.random.random((batch_size, embded_size)).astype("float32")
        parameter = np.random.random(
            (batch_size, num_classes - 1, embded_size)).astype("float32")
        label = np.random.randint(0, num_classes, batch_size)
        bias = np.random.random((1, num_classes - 1)).astype("float32")
        self.inputs = {
            'X': x,
            'Parameters': parameter,
            'Label': label,
            'Bias': bias
        }
        self.attrs = {'num_classes': num_classes}
        self.outputs = {
            'Out': np.random.random((batch_size, 1)).astype("float32")
        }

    def test_check_output(self):
        self.check_output()

    def test_check_grad(self):
        self.check_grad(
            ['X', 'Parameters', 'Label', 'Bias'],
            'Out',
            no_grad_set=set(['Label']))


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