加载已保存的顺序模型时，我收到关于模型缺少输入形状和优化器状态重置的警告

from tensorflow.keras.models import load_model

# 假设模型的输入形状是 (224, 224, 3)
input_shape = (224, 224, 3)

# 加载模型并指定输入形状
model = load_model('path_to_your_model.h5', input_shape=input_shape)

from tensorflow.keras.layers import Input, Conv2D, Flatten, Dense
from tensorflow.keras.models import Model

input_layer = Input(shape=(224, 224, 3))
x = Conv2D(32, (3, 3), activation='relu')(input_layer)
x = Flatten()(x)
output_layer = Dense(10, activation='softmax')(x)

model = Model(inputs=input_layer, outputs=output_layer)

from tensorflow.keras.models import load_model
from tensorflow.keras.optimizers import SGD

# 加载模型
model = load_model('path_to_your_model.h5')

# 恢复优化器状态
optimizer = SGD(learning_rate=0.01, momentum=0.9)
model.compile(optimizer=optimizer, loss='categorical_crossentropy', metrics=['accuracy'])

import tensorflow as tf

# 创建 Checkpoint 对象
checkpoint = tf.train.Checkpoint(model=model, optimizer=optimizer)

# 加载 Checkpoint
checkpoint.restore('path_to_your_checkpoint.ckpt')