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 __init__(self, tensor):
      self.storage = tensor
  
imports: from ..None import backend
  from .base import FeatureStorage
label_desc: Use image node_id 1 to create a new BaseTensorStorage object from inherited base classes: FeatureStorage with example: obj = BaseTensorStorage(tensor)