code: def from_sharded(
      lb: LazyBuffer,
      devices: Tuple[str, ...],
      axis: Optional[int] = None,
  ):
      lbs = [lb.contiguous() if lb.base != lb else lb] * len(devices)
      return MultiLazyBuffer(
          [
              lb.copy_to_device(d).contiguous()
              for lb, d in zip(
                  to_sharded(lbs, axis) if axis is not None else lbs,
                  devices,
              )
          ],
          axis,
      )
  
imports: from __future__ import annotations
  from typing import Optional, Union, Any, Tuple, List
  import functools
  from tinygrad.helpers import all_same, dedup, round_up, DEBUG
  from tinygrad.dtype import DType
  from tinygrad.ops import BinaryOps, LoadOps, UnaryOps, TernaryOps, ReduceOps
  from tinygrad.lazy import LazyBuffer, create_schedule
  from tinygrad.shape.shapetracker import ShapeTracker, sint
label_desc: Use image node_id 4 for calling the MultiLazyBuffer obj's underlying member method code with example usage: obj.from_sharded(lb, devices, axis) and returns: MultiLazyBuffer