Python 函数调用堆栈：train_函数

在培训使用keras创建的功能模型时，我遇到以下错误：

File "D:\Age_prediction\testmatrixshape.py", line 34, in <module>
    cnn_lstm.fit(X_train, y_train, batch_size=10, epochs=10)
  File "C:\Users\Pranaswi Reddy\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\keras\engine\training.py", line 66, in _method_wrapper
    return method(self, *args, **kwargs)
  File "C:\Users\Pranaswi Reddy\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\keras\engine\training.py", line 848, in fit
    tmp_logs = train_function(iterator)
  File "C:\Users\Pranaswi Reddy\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\eager\def_function.py", line 580, in __call__
    result = self._call(*args, **kwds)
  File "C:\Users\Pranaswi Reddy\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\eager\def_function.py", line 644, in _call
    return self._stateless_fn(*args, **kwds)
  File "C:\Users\Pranaswi Reddy\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\eager\function.py", line 2420, in __call__
    return graph_function._filtered_call(args, kwargs)  # pylint: disable=protected-access
  File "C:\Users\Pranaswi Reddy\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\eager\function.py", line 1661, in _filtered_call
    return self._call_flat(
  File "C:\Users\Pranaswi Reddy\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\eager\function.py", line 1745, in _call_flat
    return self._build_call_outputs(self._inference_function.call(
  File "C:\Users\Pranaswi Reddy\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\eager\function.py", line 593, in call
    outputs = execute.execute(
  File "C:\Users\Pranaswi Reddy\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\eager\execute.py", line 59, in quick_execute
    tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.UnimplementedError:  Cast string to float is not supported
     [[node Cast (defined at D:\Age_prediction\testmatrixshape.py:34) ]] [Op:__inference_train_function_2171]

Function call stack:
train_function

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检查所有输入是否不包含任何“字符串”类型的数据。如果是这样，请更改它们，例如，您可以使用TensorFlow分类列函数

我的问题是，我打开了同一程序的另一个外壳。尝试检查窗口是否加倍。

在代码之前添加此代码

from tensorflow.compat.v1 import ConfigProto
from tensorflow.compat.v1 import InteractiveSession

config = ConfigProto()
config.gpu_options.allow_growth = True
session = InteractiveSession(config=config)

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感谢您的快速回复。我正在根据语音信号进行年龄预测。目标列中有两个标签，成人和年轻。这就是产生上述错误的原因。您建议我使用TensorFlow分类函数。但我不知道如何使用，当我检查时，我发现有两个函数是feature\u column.embeddeding\u column和feature\u column.indicator\u column。现在我不知道该使用哪一个。具体要做什么。如果你回应，我会觉得这是一个很大的帮助。从最简单的事情开始：你的输入（X\u train，y\u train）是否包含字符串？这很有效，但为什么？

from tensorflow.compat.v1 import ConfigProto
from tensorflow.compat.v1 import InteractiveSession

config = ConfigProto()
config.gpu_options.allow_growth = True
session = InteractiveSession(config=config)