def data_format_error():
data = paddle.randint(shape=[1, 1, 3, 3])
indices = paddle.reshape(paddle.arange(4, 40), shape[1, 1, 3, 4])
MaxPool2D = F.maxunpool2d(data,
indices,
kernel_size=2,
stride=2,
data_format="NHWC")
def data_outputsize_error2():
data = paddle.randint(shape=[1, 1, 3, 3])
indices = paddle.reshape(paddle.arange(4, 40), shape[1, 1, 3, 4])
MaxPool2D = F.maxunpool2d(data,
indices,
kernel_size=2,
stride=2,
output_size=[100, 100])
def indices_value_error():
data = paddle.randint(shape=[1, 1, 3, 3])
indices = paddle.reshape(paddle.arange(4, 40), shape[1, 1, 3, 4])
MaxPool2D = F.maxunpool2d(data, indices, kernel_size=2, stride=2)