class_docstr: FeatureStorage that asynchronously reads features from a ``numpy.memmap`` object.
code: def _fetch(self, indices, device, pin_memory=False):
      result = F.zerocopy_from_numpy(self.arr[indices])
      result = F.copy_to(result, device)
      return result
  
file_path: dgl/python/dgl/storages/numpy.py
imports: import numpy
  from ..None import backend
  from .base import FeatureStorage, register_storage_wrapper, ThreadedFuture
label_desc: Use image node_id 2 for calling the NumpyStorage obj's underlying member method code with example usage: obj._fetch(indices, device, pin_memory) and returns: result