code: def resize(self, length, duration, dim):
      self.length = length
      self.duration = duration
      self.dim = dim
      stdv = 1.0 / math.sqrt(dim / 3)
      del self.memory
      self.memory = (
          torch.rand(length, duration, dim, device=self.device)
          .mul_(2 * stdv)
          .add_(-stdv)
          .cuda()
      )
  
imports: import math
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  import slowfast.models.losses
  import slowfast.utils.distributed
  import slowfast.utils.logging
  from slowfast.models.video_model_builder import X3D, MViT, ResNet, SlowFast
  from .build import MODEL_REGISTRY
label_desc: Use image node_id 2 for calling the Memory obj's underlying member method code with example usage: obj.resize(length, duration, dim) without return types