报错ValueError: None values not supported.如何解决

Question

在跑代码的时候出现了ValueError: None values not supported.
停在了这里，这是我定义的class 应该是调用fit函数时候出现的问题

class NetworkBase(object):
    def train(self, x_train, y_train, x_test, y_test, epochs, batch_size, log_dir='/tmp/fullyconnected', stop_early=False):
        callbacks = []
        if backend._BACKEND == 'tensorflow':
            callbacks.append(TensorBoard(log_dir=log_dir))

        if stop_early:
            callbacks.append(EarlyStopping(monitor='val_loss', patience=2, verbose=1, mode='auto'))

        self.fcnet.fit(x_train, y_train,
                epochs=epochs,
                batch_size=batch_size,
                shuffle=True,
                validation_data=(x_test, y_test),
                callbacks=callbacks)

报错信息如下

  File "D:\R\实验室\代码\DL-hybrid-precoder-master\main_train\Model\network_base.py", line 20, in train
    callbacks=callbacks)
  File "C:\Users\admin\Anaconda3\lib\site-packages\keras\engine\training.py", line 1213, in fit
    self._make_train_function()
  File "C:\Users\admin\Anaconda3\lib\site-packages\keras\engine\training.py", line 316, in _make_train_function
    loss=self.total_loss)
  File "C:\Users\admin\Anaconda3\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
    return func(*args, **kwargs)
  File "C:\Users\admin\Anaconda3\lib\site-packages\keras\optimizers.py", line 543, in get_updates
    p_t = p - lr_t * m_t / (K.sqrt(v_t) + self.epsilon)
  File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\ops\math_ops.py", line 815, in binary_op_wrapper
    y = ops.convert_to_tensor(y, dtype=x.dtype.base_dtype, name="y")
  File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1039, in convert_to_tensor
    return convert_to_tensor_v2(value, dtype, preferred_dtype, name)
  File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1097, in convert_to_tensor_v2
    as_ref=False)
  File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1175, in internal_convert_to_tensor
    ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
  File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py", line 304, in _constant_tensor_conversion_function
    return constant(v, dtype=dtype, name=name)
  File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py", line 245, in constant
    allow_broadcast=True)
  File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py", line 283, in _constant_impl
    allow_broadcast=allow_broadcast))
  File "C:\Users\admin\Anaconda3\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 454, in make_tensor_proto
    raise ValueError("None values not supported.")
ValueError: None values not supported.

希望有大神可以帮我解答问题出在哪里

Answer 1

兄弟解决了没？