list iterator incompatible

c++

用list 的erase时

iterator erase (iterator position);
由于删除的时候需要传入的值为iterator,该迭代器用erase()之后就失去了作用。 所以会出现list iterator incompatible的错误。

解决方法可以从表达式中看出,由于erase函数返回了一个迭代器,该迭代器为下一个list元素的地址。所以可以直接声明一个iterator变量去接收这个值就可以啦。

Traceback (most recent call last): File "E:\pytorch_coad\prediction_chongmin\d_muti_model_predict.py", line 84, in <module> c1_p = predic(model, c1_x, 1) File "E:\pytorch_coad\prediction_chongmin\d_muti_model_predict.py", line 51, in predic prediction = model.predict(test_x) File "C:\Anaconda\envs\yolo5\lib\site-packages\keras\utils\traceback_utils.py", line 70, in error_handler raise e.with_traceback(filtered_tb) from None File "C:\Users\Akili\AppData\Local\Temp\__autograph_generated_file899fmq2i.py", line 15, in tf__predict_function retval_ = ag__.converted_call(ag__.ld(step_function), (ag__.ld(self), ag__.ld(iterator)), None, fscope) ValueError: in user code: File "C:\Anaconda\envs\yolo5\lib\site-packages\keras\engine\training.py", line 2041, in predict_function * return step_function(self, iterator) File "C:\Anaconda\envs\yolo5\lib\site-packages\keras\engine\training.py", line 2027, in step_function ** outputs = model.distribute_strategy.run(run_step, args=(data,)) File "C:\Anaconda\envs\yolo5\lib\site-packages\keras\engine\training.py", line 2015, in run_step ** outputs = model.predict_step(data) File "C:\Anaconda\envs\yolo5\lib\site-packages\keras\engine\training.py", line 1983, in predict_step return self(x, training=False) File "C:\Anaconda\envs\yolo5\lib\site-packages\keras\utils\traceback_utils.py", line 70, in error_handler raise e.with_traceback(filtered_tb) from None File "C:\Anaconda\envs\yolo5\lib\site-packages\keras\engine\input_spec.py", line 295, in assert_input_compatibility raise ValueError( ValueError: Input 0 of layer "sequential" is incompatible with the layer: expected shape=(None, 720, 1), found shape=(None, 745, 1) Process finished with exit code 1
最新发布
11-07
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