def __init__(self):
    super(bn_1d_model, self).__init__(name='test_bn_1d_model')
    self.conv = Conv1d(n_filter=32, filter_size=5, stride=2, name='test_conv1d', in_channels=1)
    self.bn = BatchNorm1d(num_features=32, name='test_bn1d')
def __init__(self):
    super(bn_1d_model, self).__init__(name='test_bn_1d_model')
    self.conv = Conv1d(n_filter=32, filter_size=5, stride=2, name='test_conv1d', in_channels=1)
    self.bn = BatchNorm1d(num_features=32, name='test_bn1d')