class_docstr: A sequential sampler used in FeatureSet when get (train=false) iterator .
class_docstr_tok: ["A","sequential","sampler","used","in","FeatureSet","when","get","(","train=false",")","iterator","."]
code: def __len__(self):
      return self.num_samples
  
file_path: BigDL/python/orca/src/bigdl/orca/torch/utils.py
imports: from torch.utils.data.sampler import Sampler
  import math
  from bigdl.dllib.utils.log4Error import *
  from deprecated import deprecated
label_desc: Use image node_id 3 for calling the DistributedSequentialSampler obj's underlying member method code with example usage: obj.__len__() and returns: self