from tensorflow.python.tools import optimize_for_inference_lib

path = "model_lcnn_29v2.pb"
graph_def = tf.GraphDef()
with tf.Session() as sess:
    # Read binary pb graph from file
    with tf.gfile.Open(path, "rb") as f:
        data2read = f.read()
        graph_def.ParseFromString(data2read)
    
    # Optimize/Transform for inference: 
    graph_def = tf.graph_util.convert_variables_to_constants(sess, graph_def, ['MatMul_1'])
    graph_def = optimize_for_inference_lib.optimize_for_inference(graph_def, ['0'], ['MatMul_1'], tf.float32.as_datatype_enum)
    tf.train.write_graph(graph_def, "", path.rsplit('.', 1)[0]+'_optim.pb', as_text=False)