def convr(ch, x):
    conv_layer = ConvolutionalLayer(n_output_chns=ch, kernel_size=3, feature_normalization='batch', acti_func='selu', w_initializer=self.initializers['w'])
    return conv_layer(x, is_training=is_training)
def convr(ch, x):
    conv_layer = ConvolutionalLayer(n_output_chns=ch, kernel_size=3, feature_normalization='batch', acti_func='selu', w_initializer=self.initializers['w'])
    return conv_layer(x, is_training=is_training)