class_docstr: A sequential sampler used in FeatureSet when get (train=false) iterator .
code: def set_epoch(self, epoch):
      self.epoch = epoch
  
file_path: analytics-zoo/pyzoo/zoo/pipeline/api/torch/utils.py
imports: from torch.utils.data.sampler import Sampler
  import math
label_desc: Use image node_id 4 for calling the DistributedSequentialSampler obj's underlying member method code with example usage: obj.set_epoch(epoch) without return types