在tensorflow中访问model.evalute中的执行时间

import time
import tensorflow as tf

# 构建模型
model = tf.keras.Sequential([
    tf.keras.layers.Dense(64, activation='relu'),
    tf.keras.layers.Dense(10, activation='softmax')
])

# 编译模型
model.compile(optimizer='adam',
              loss='sparse_categorical_crossentropy',
              metrics=['accuracy'])

# 加载数据集
(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()
x_train = x_train / 255.0
x_test = x_test / 255.0

# 计时开始
start_time = time.time()

# 评估模型
loss, accuracy = model.evaluate(x_test, y_test)

# 计时结束
end_time = time.time()

# 打印执行时间
execution_time = end_time - start_time
print("执行时间：", execution_time, "秒")