class_docstr: Non shuffling Distributed Sampler
class_docstr_tok: ["Non","shuffling","Distributed","Sampler"]
code: def __len__(self):
      return self.num_samples
  
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 3 for calling the DistributedSampler obj's underlying member method code with example usage: obj.__len__() and returns: self