class_docstr: FeatureStorage that synchronously slices features from a tensor and transfers
  it to the given device.
class_docstr_tok: ["FeatureStorage","that","synchronously","slices","features","from","a","tensor","and","transfers","it","to","the","given","device","."]
code: def fetch(
      self, indices, device, pin_memory=False, **kwargs
  ):  # pylint: disable=unused-argument
      return F.copy_to(
          F.gather_row(self.storage, indices), device, **kwargs
      )
  
imports: from ..None import backend
  from .base import FeatureStorage
label_desc: Use image node_id 2 for calling the BaseTensorStorage obj's underlying member method code with example usage: obj.fetch(indices, device, pin_memory) and returns: F