code: def time_tensor_numpy(out: Tensor):
      times = []
      for _ in range(5):
          st = time.perf_counter()
          out.lazydata.base.realized.as_buffer(allow_zero_copy=True)
          et = time.perf_counter() - st
          times.append(et)
      return min(times)
  
imports: import unittest
  from tinygrad import Tensor, Device
  import time
label_desc: Use image node_id 1 for calling a global function with example usage: time_tensor_numpy(out) and returns: min