Keras错误:无法将符号Keras输入/输出转换为numpy数组

import tensorflow as tf
import numpy as np

# 假设model是你的Keras模型
input_tensor = model.input
output_tensor = model.output

# 创建一个会话来运行TensorFlow图
with tf.Session() as sess:
    # 运行输入张量并获取NumPy数组
    input_np = sess.run(input_tensor, feed_dict={input_tensor: your_input_data})
    
    # 运行输出张量并获取NumPy数组
    output_np = sess.run(output_tensor, feed_dict={input_tensor: your_input_data})

import tensorflow as tf

# 假设model是你的Keras模型
input_tensor = model.input
output_tensor = model.output

# 使用tf.keras.backend.eval()方法
input_np = tf.keras.backend.eval(input_tensor, feed_dict={input_tensor: your_input_data})
output_np = tf.keras.backend.eval(output_tensor, feed_dict={input_tensor: your_input_data})

import tensorflow as tf

# 假设model是你的Keras模型
input_tensor = model.input
output_tensor = model.output

@tf.function
def get_numpy_array(tensor, data):
    return tf.numpy_function(lambda x: x.numpy(), [tensor], tf.float32)

# 获取NumPy数组
input_np = get_numpy_array(input_tensor, your_input_data)
output_np = get_numpy_array(output_tensor, your_input_data)