class_docstr: Non shuffling Distributed Sampler
class_docstr_tok: ["Non","shuffling","Distributed","Sampler"]
code: def set_epoch(self, epoch):
      self.epoch = epoch
  
file_path: TTS/TTS/utils/distribute.py
imports: import math
  import torch
  import torch.distributed
  from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
  from torch.autograd import Variable
  from torch.utils.data.sampler import Sampler
label_desc: Use image node_id 4 for calling the DistributedSampler obj's underlying member method code with example usage: obj.set_epoch(epoch) without return types