How to use the kipoi.model.TensorFlowModel function in kipoi

def test_tf_model():
    tf.reset_default_graph()
    input_nodes = "inputs"
    target_nodes = "preds"
    meta_graph = "model_files/model.tf.meta"
    # meta_graph = 'model_files/model.tf-modified.meta'
    checkpoint = "model_files/model.tf"
    index = "model_files/model.tf.index"
    pkl_file = "model_files/const_feed_dict.pkl"

    from kipoi.model import TensorFlowModel

    m = TensorFlowModel(input_nodes="inputs",
                        target_nodes="preds",
                        meta_graph=meta_graph,
                        checkpoint=checkpoint,
                        const_feed_dict_pkl=pkl_file)
    ops = tf.get_default_graph().get_operations()



    # TODO - modify the 
    out = tf.train.export_meta_graph(filename='model_files/model.tf-modified.meta', as_text=True)
    ops[0].outputs[0].shape[0] = None

    pops = [op.outputs[0] for op in ops
           if op.type == "Placeholder" and
           op.name.startswith("Placeholder")]