util.py 文件源码

def dump_vars(sess, trainable_scopes=None):
    all_vars = set(tf.global_variables())
    trainable_vars = set(trainable_variables(trainable_scopes))
    non_trainable_vars = all_vars.difference(trainable_vars)

    def _dump_set(var_set):
        names_vars = map(lambda v: (v.name, v), var_set)
        for n, v in sorted(names_vars, key=lambda nv: nv[0]):
            print("%s=%s" % (n, sess.run(v)))

    print("Variable values:")
    print("-----------")
    print("\n---Trainable vars:")
    _dump_set(trainable_vars)
    print("\n---Non Trainable vars:")
    _dump_set(non_trainable_vars)
    print("-----------")