code: def copyout(self, dest: memoryview, src: torch.Tensor):
      torch.frombuffer(dest, dtype=src.dtype).copy_(src.flatten())
  
file_path: tinygrad/tinygrad/runtime/ops_torch.py
imports: import torch
  from typing import Dict, Callable
  from tinygrad.ops import BufferOps, UnaryOps, BinaryOps, TernaryOps, ReduceOps, MovementOps, Op
  from tinygrad.device import Interpreted, Allocator
  from tinygrad.dtype import dtypes
  from tinygrad.helpers import getenv, flatten
  from tinygrad.runtime.ops_cpu import einsum_mulacc, reduce_axis
label_desc: Use image node_id 3 for calling the TorchAllocator obj's underlying member method code with example usage: obj.copyout(dest, src) without return types