我正试图用猫和狗的图像来训练CNN。代码如下：

model = Sequential()
model.add(Reshape((32, 32, 3)))

model.add(Conv2D(32, (3, 3), padding='same'))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Dropout(0.2))

model.add(Conv2D(32, (3, 3), padding='same'))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Dropout(0.2))

model.add(Conv2D(32, (3, 3), padding = 'same'))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size = (2, 2)))
model.add(Dropout(0.2))

model.add(Flatten())
model.add(Dense(512))
model.add(Activation('relu'))
model.add(Dense(2))
model.add(Activation('softmax'))

opt = keras.optimizers.legacy.RMSprop(learning_rate=0.0001, decay=1e-6)

model.compile(loss='categorical_crossentropy',
          optimizer=opt,
          metrics=['accuracy'])

history = model.fit(cd_train_inputs.shape, cd_train_labels.shape, 
                validation_data=(cd_test_inputs.shape, cd_test_labels.shape), \
                epochs=70)
print(model.summary())

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当我运行上面的代码时，我得到以下错误：

ValueError: Data cardinality is ambiguous:
  x sizes: 4
  y sizes: 1
Make sure all arrays contain the same number of samples.

型
我怎么才能让它工作？