import tensorflow as tf

    with tf.variable_scope("conv_block_" + str(num_filters) + "_" + name):
        for i in range(2):
            with tf.variable_scope("conv1d_%s" % str(i)):
                filter_shape = [3, inputs.get_shape()[2], num_filters]
                W = tf.get_variable(name='W', shape=filter_shape, 
                    initializer=he_normal,
                    regularizer=regularizer)
                inputs = tf.nn.conv1d(inputs, W, stride=1, padding="SAME")
