我已经训练了以下Keras模型的子类。我希望能够在加载的模型上调用B_frame_CNN中的所有方法（例如，get_embedded（））。以下代码运行得很好，并且在ipython笔记本上运行时可以满足我的需要。

import tensorflow as tf

class B_frame_CNN(tf.keras.Model):
    def __init__(self, filter_size, activation, padding):
        super().__init__()
        self.c1 = tf.keras.layers.Conv2D(32, filter_size, strides=(2,1), activation=activation, padding=padding)
        self.c2 = tf.keras.layers.Conv2D(64, filter_size, strides=2, activation=activation, padding=padding)
        self.p1 = tf.keras.layers.MaxPooling2D(filter_size, strides=2)
        self.c3 = tf.keras.layers.Conv2D(128, filter_size, strides=2, activation=activation, padding=padding, name="gradmaps")
        self.p2 = tf.keras.layers.MaxPooling2D(filter_size, strides=2)
        self.c4 = tf.keras.layers.Conv2D(256, filter_size, strides=2, activation=activation, padding=padding)
        self.c5 = tf.keras.layers.Conv2D(256, filter_size, strides=2, activation=activation, padding=padding)

        self.f1 = tf.keras.layers.Flatten()
        self.dropout1 = tf.keras.layers.Dropout(0.5)
        self.d1 = tf.keras.layers.Dense(64, activation=None, name="embedding")
        self.dropout2 = tf.keras.layers.Dropout(0.5)
        self.d2 = tf.keras.layers.Dense(2, activation='softmax')

        inputs = tf.keras.Input(shape=(200,100,1))
        self.full_model = tf.keras.Model(inputs=[inputs], outputs=self.call(inputs))

    def call(self, inputs):
        x = self.c1(inputs)
        x = self.c2(x)
        x = self.p1(x)
        x = self.c3(x)
        x = self.p2(x)
        x = self.c4(x)
        x = self.c5(x)
        
        x = self.f1(x)
        x = self.dropout1(x, training=True)
        x = self.d1(x)
        x = self.dropout2(x, training=True)
        return self.d2(x)

    def get_embedding(self):
        intermediate = tf.keras.models.Model(inputs=self.full_model.input, outputs=self.full_model.get_layer("embedding").output)
        return intermediate

model1 = B_frame_CNN(3, 'relu', 'same')
model1.load_weights("D:\\brain_cancer_oct\saved_models\CNN_bframe")

但是，当我在python脚本（.py）中运行它时，我得到了以下错误：
2022年09月10日01：44：08.287034：无法打开D：\脑肿瘤八位一体\保存的模型\CNN_bframe：未知：NewRandomAccessFile无法创建/打开：D：\脑癌_oct\保存的模型\CNN_bframe：访问被拒绝。输入/输出错误
我将感谢任何帮助破译这个错误。