what the requirement is for the number of input images

[JEDA836]

def forward(self, x, y=None):
    # x: [B, 3, T, H, W]
    # y: [B, 3, T, sH, sW]

    result_dict = {}

    F, KD, f_Y, f, anchor_D = self.degradation_learning_network(x)

May I ask what the requirement is for the number of input images? When inputting the tensor in this shape, errors will be reported in many steps in the middle.