因此，我目前正在进行一个图像分类实现tutorial，我正在使用CNN来实现该模型。CNN架构如下：

model=tf.keras.models.Sequential([
    #first layer an input layer a shape of 100*150 RGP array of pictures 
    # 2D convutional layer with 32 nodes 3*3 filter
    tf.keras.layers.Conv2D(32,(3,3),activation='relu',input_shape=(100,150,3)),
    #2d maxpooling with size of 2*2
    tf.keras.layers.MaxPooling2D(2,2),
    
    #second layer
    tf.keras.layers.Conv2D(64,(3,3),activation='relu'),
    tf.keras.layers.MaxPooling2D(2,2),
    
    #third layer 
    tf.keras.layers.Conv2D(128,(3,3),activation='relu'),
    tf.keras.layers.MaxPooling2D(2,2),
    
    #forth layer 
    tf.keras.layers.Conv2D(256,(3,3),activation='relu'),
    tf.keras.layers.MaxPooling2D(2,2),
    
    #flatten layer 
    tf.keras.layers.Flatten(),
    
    #dense layer 
    tf.keras.layers.Dense(512,activation='relu'),
    tf.keras.layers.Dense(3,activation='softmax')
    
    
]
    
)
model.compile(loss='categorical_crossentropy',optimizer=tf.optimizers.Adam(),
              metrics=['accuracy'])

现在，当我运行fit时，我得到这个错误。

history=model.fit(train_gen,steps_per_epoch=25,epochs=20,
                  validation_data=validation_gen,validation_steps=5,verbose=2,
                  callbacks=[my_callback()]
    
)

错误追溯如下

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
c:\Users\rabee\OneDrive\Desktop\rps-final-dataset\rbs_classification.ipynb Cell 20 in <cell line: 1>()
----> 1 model.fit(train_gen,steps_per_epoch=25,epochs=20,
      2                   validation_data=validation_gen,validation_steps=5,verbose=2,
      3                   callbacks=[my_callback()]
      4     
      5 )

File c:\Users\rabee\AppData\Local\Programs\Python\Python310\lib\site-packages\keras\utils\traceback_utils.py:67, in filter_traceback.<locals>.error_handler(*args, **kwargs)
     65 except Exception as e:  # pylint: disable=broad-except
     66   filtered_tb = _process_traceback_frames(e.__traceback__)
---> 67   raise e.with_traceback(filtered_tb) from None
     68 finally:
     69   del filtered_tb

File c:\Users\rabee\AppData\Local\Programs\Python\Python310\lib\site-packages\scipy\ndimage\_interpolation.py:574, in affine_transform(input, matrix, offset, output_shape, output, order, mode, cval, prefilter)
    572     npad = 0
    573     filtered = input
--> 574 mode = _ni_support._extend_mode_to_code(mode)
    575 matrix = numpy.asarray(matrix, dtype=numpy.float64)
    576 if matrix.ndim not in [1, 2] or matrix.shape[0] < 1:

File c:\Users\rabee\AppData\Local\Programs\Python\Python310\lib\site-packages\scipy\ndimage\_ni_support.py:54, in _extend_mode_to_code(mode)
     52     return 6
     53 else:
---> 54     raise RuntimeError('boundary mode not supported')

RuntimeError: boundary mode not supported

我不明白问题boundary mode not supported和如何解决它？