Created by: fw339wj

在finetuning的文件夹下面的classifier中，遇到一个这样的问题：

Traceback (most recent call last): File "C:/Users/wxc/Desktop/NLP/NLPCC2019/LARK/ERNIE/run_classifier.py", line 282, in main(args) File "C:/Users/wxc/Desktop/NLP/NLPCC2019/LARK/ERNIE/run_classifier.py", line 202, in main graph_vars, "train") File "C:\Users\wxc\Desktop\NLP\NLPCC2019\LARK\ERNIE\finetune\classifier.py", line 259, in evaluate ret["learning_rate"] = float(outputs[4][0]) IndexError: list index out of range W0518 13:45:05.752697 14328 graph.h:204] WARN: After a series of passes, the current graph can be quite different from OriginProgram. So, please avoid using the OriginProgram() method! I0518 13:45:10.330855 14328 build_strategy.cc:285] SeqOnlyAllReduceOps:0, num_trainers:1

代码如下：

`def evaluate(exe, test_program, test_pyreader, graph_vars, eval_phase): train_fetch_list = [ graph_vars["loss"].name, graph_vars["accuracy"].name, graph_vars["num_seqs"].name ]

if eval_phase == "train":
    if "learning_rate" in graph_vars:
        train_fetch_list.append(graph_vars["learning_rate"].name)
    outputs = exe.run(fetch_list=train_fetch_list)
    ret = {"loss": np.mean(outputs[0]), "accuracy": np.mean(outputs[1])}
    print("outputs:", outputs)

    if "learning_rate" in graph_vars:
        ret["learning_rate"] = float(outputs[4][0])
    return ret

我认为 ret["learning_rate"] = float(outputs[4][0])中应该outputs为[3][0],请确认。