训练模型时出错

[xingxindrst]

我在训练以前的模型时遇到了
2023-04-03 17:53:46.366387: W tensorflow/core/framework/op_kernel.cc:1830] OP_REQUIRES failed at ctc_loss_op.cc:215 : INVALID_ARGUMENT: Saw a non-null label (index >= num_classes - 1) following a null label, batch: 1 num_classes: 1425 labels: 353,1111,657,1059,1135,842,911,1424,1059,187,540 labels seen so far: 353,1111,657,1059,1135,842,911
Traceback (most recent call last):
File "D:\biyeshixi\f14f1116-77dd-11ed-b094-52540066b139\CASR-DEMO-master\speech_env\main\SpeechModel251.py", line 429, in
ms.TrainModel(datapath, epoch = 50, batch_size = 2, save_step = 500)
File "D:\biyeshixi\f14f1116-77dd-11ed-b094-52540066b139\CASR-DEMO-master\speech_env\main\SpeechModel251.py", line 175, in TrainModel
self._model.fit_generator(yielddatas, save_step)
File "E:\python\lib\site-packages\keras\engine\training.py", line 2604, in fit_generator
return self.fit(
File "E:\python\lib\site-packages\keras\utils\traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "E:\python\lib\site-packages\tensorflow\python\eager\execute.py", line 52, in quick_execute
tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.InvalidArgumentError: Graph execution error:

Detected at node 'model_1/ctc/CTCLoss' defined at (most recent call last):
File "D:\biyeshixi\f14f1116-77dd-11ed-b094-52540066b139\CASR-DEMO-master\speech_env\main\SpeechModel251.py", line 429, in
ms.TrainModel(datapath, epoch = 50, batch_size = 2, save_step = 500)
File "D:\biyeshixi\f14f1116-77dd-11ed-b094-52540066b139\CASR-DEMO-master\speech_env\main\SpeechModel251.py", line 175, in TrainModel
self._model.fit_generator(yielddatas, save_step)
File "E:\python\lib\site-packages\keras\engine\training.py", line 2604, in fit_generator
return self.fit(
File "E:\python\lib\site-packages\keras\utils\traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "E:\python\lib\site-packages\keras\engine\training.py", line 1650, in fit
tmp_logs = self.train_function(iterator)
File "E:\python\lib\site-packages\keras\engine\training.py", line 1249, in train_function
return step_function(self, iterator)
File "E:\python\lib\site-packages\keras\engine\training.py", line 1233, in step_function
outputs = model.distribute_strategy.run(run_step, args=(data,))
File "E:\python\lib\site-packages\keras\engine\training.py", line 1222, in run_step
outputs = model.train_step(data)
File "E:\python\lib\site-packages\keras\engine\training.py", line 1023, in train_step
y_pred = self(x, training=True)
File "E:\python\lib\site-packages\keras\utils\traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "E:\python\lib\site-packages\keras\engine\training.py", line 561, in call
return super().call(*args, **kwargs)
File "E:\python\lib\site-packages\keras\utils\traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "E:\python\lib\site-packages\keras\engine\base_layer.py", line 1132, in call
outputs = call_fn(inputs, *args, **kwargs)
File "E:\python\lib\site-packages\keras\utils\traceback_utils.py", line 96, in error_handler
return fn(*args, **kwargs)
File "E:\python\lib\site-packages\keras\engine\functional.py", line 511, in call
return self._run_internal_graph(inputs, training=training, mask=mask)
File "E:\python\lib\site-packages\keras\engine\functional.py", line 668, in _run_internal_graph
outputs = node.layer(*args, **kwargs)
File "E:\python\lib\site-packages\keras\utils\traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "E:\python\lib\site-packages\keras\engine\base_layer.py", line 1132, in call
outputs = call_fn(inputs, *args, **kwargs)
File "E:\python\lib\site-packages\keras\utils\traceback_utils.py", line 96, in error_handler
return fn(*args, **kwargs)
File "E:\python\lib\site-packages\keras\layers\core\lambda_layer.py", line 209, in call
result = self.function(inputs, **kwargs)
File "D:\biyeshixi\f14f1116-77dd-11ed-b094-52540066b139\CASR-DEMO-master\speech_env\main\SpeechModel251.py", line 148, in ctc_lambda_func
return K.ctc_batch_cost(labels, y_pred, input_length, label_length)
File "E:\python\lib\site-packages\keras\backend.py", line 7023, in ctc_batch_cost
tf.compat.v1.nn.ctc_loss(
Node: 'model_1/ctc/CTCLoss'
Saw a non-null label (index >= num_classes - 1) following a null label, batch: 1 num_classes: 1425 labels: 353,1111,657,1059,1135,842,911,1424,1059,187,540 labels seen so far: 353,1111,657,1059,1135,842,911
[[{{node model_1/ctc/CTCLoss}}]] [Op:__inference_train_function_2809]
2023-04-03 17:53:51.148622: W tensorflow/core/kernels/data/generator_dataset_op.cc:108] Error occurred when finalizing GeneratorDataset iterator: FAILED_PRECONDITION: Python interpreter state is not initialized. The process may be terminated.
[[{{node PyFunc}}]]

Process finished with exit code 1
麻烦大家可以帮我看看吗，谢谢

[nl8590687]

你是不是改了dict.txt里面的列表数目，这种问题一般都是改代码和配置文件改出来的

[xingxindrst]

你是不是改了dict.txt里面的列表数目，这种问题一般都是改代码和配置文件改出来的
没有改过dict.txt 代码也只改了报错的地方