Python 如何获得渴望模式的中间输出

我建立了一个迁移学习模型，并试图获得中间输出。为了得到模型的中间输出，我遵循其中一个建议，如下所示：

import tensorflow as tf
from tensorflow.keras import backend as K

tf.enable_eager_execution()

base_conv = tf.keras.applications.MobileNetV2(input_shape= None, 
            alpha=1.0, depth_multiplier=1, \
            include_top=True, weights='imagenet', input_tensor=None, \
            pooling=None, classes=1000)

model = tf.keras.models.Sequential()

model.add(base_conv)

model.add(tf.keras.layers.Dense(512, activation='relu'))

model.add(tf.keras.layers.Dense(5, activation='softmax'))

# with a Sequential model
get_layer_output = K.function([model.layers[0].input],                                 
                          [model.layers[0].get_layer('Conv_1').output])

#x is the input image
layer_output = get_layer_output([x])

但后来我犯了一个错误：

AttributeError: Tensor.name is meaningless when eager execution is enabled.