code: def as_buffer(self, src: np.ndarray) -> memoryview:
      return flat_mv(np.require(src, requirements="C").data)
  
file_path: tinygrad/tinygrad/runtime/ops_cpu.py
imports: import numpy
  from typing import Callable, Dict, Tuple
  from tinygrad.helpers import flat_mv
  from tinygrad.ops import BufferOps, UnaryOps, BinaryOps, TernaryOps, ReduceOps, MovementOps, Op
  from tinygrad.device import Interpreted, Allocator
label_desc: Use image node_id 2 for calling the NumpyAllocator obj's underlying member method code with example usage: obj.as_buffer(src) and returns: flat_mv