I’m getting the error AttributeError: ‘Tensor’ object has no attribute ‘numpy’ when trying to change a tf tensor to a numpy array and then back to a tensor. The code giving me the error is as follow.
network = models.Sequential() network.add(layers.Dense(512,activation='relu')) network.add(layers.Dense(10,activation='linear')) def root_mean_squared_error(y_true, y_pred): y_pred = y_pred.numpy() y_pred = tf.convert_to_tensor(y_pred) return K.sqrt(K.mean(K.square(y_pred - y_true))) network.compile(optimizer='rmsprop', loss=root_mean_squared_error, metrics=['accuracy']) network.fit(train_images,cat_train_labels,epochs=5,batch_size=28)
Here, i’m just trying to get this basic implementation to work as i’ve been getting issues while using .numpy()
It seems as though eager execution isn’t enabled but from what i tried I couldn’t enable it.
Any help is appreciated.
Source: Python Questions