Keras TypeError: max_pool3d() got an unexpected keyword argument 'data_format'

example.py

def classifier(input_shape, kernel_size, pool_size):
    model = Sequential()

    model.add(Convolution3D(16, kernel_size=kernel_size,
                            padding='valid',
                            input_shape=input_shape))
    model.add(Activation('relu'))
    model.add(MaxPooling3D(pool_size=pool_size))
    model.add(Convolution3D(32, kernel_size=kernel_size))
    model.add(Activation('relu'))
    model.add(MaxPooling3D(pool_size=pool_size))
    model.add(Convolution3D(64, kernel_size=kernel_size))
    model.add(Activation('relu'))
    model.add(MaxPooling3D(pool_size=pool_size))
    model.add(Dropout(0.25))

    model.add(Flatten())
    model.add(Dense(512))
    model.add(Activation('relu'))
    model.add(Dropout(0.5))
    model.add(Dense(128))
    model.add(Activation('relu'))
    model.add(Dropout(0.5))
    model.add(Dense(2))
    model.add(Activation('softmax'))

    return model

def train_classifier(input_shape):
    model = classifier(input_shape, (3, 3, 3), (2, 2, 2))
    model.compile(loss='categorical_crossentropy',
                  optimizer='adadelta',
                  metrics=['accuracy'])
    train_x = glob('working_space/traindata_*_Xtrain.p')
    train_y = glob('working_space/traindata_*_Ytrain.p')
    file_tup = list(zip(train_x, train_y))
    np.random.shuffle(file_tup)
    train_length = int(len(file_tup) * 0.8)

    train_x_path = [x[0] for x in file_tup[:train_length]]
    train_y_path = [x[1] for x in file_tup[:train_length]]
    val_x_path = [x[0] for x in file_tup[train_length:]]
    val_y_path = [x[1] for x in file_tup[train_length:]]


    # model.train_on_batch(trainX, trainY, sample_weight=None)
    model.fit_generator(data_generator(train_x_path, train_y_path),
                        validation_data=data_generator(val_x_path, val_y_path), steps_per_epoch=108, validation_steps=10)
    model.save('CNN_model.h5')

train_classifier((36,36,36, 1))