code: def float_and_quant_and_nhwc(self, inp_float, scale, zero_point):
      torch.manual_seed(29)
      inp_quant = qpt(inp_float, 0.03, 128)
      return [
          ("float", inp_float),
          ("float-nhwc", nhwc(inp_float)),
          ("quant", inp_quant),
          ("quant-nhwc", nhwc(inp_quant)),
      ]
  
imports: import os
  import ctypes
  import torch
  import unittest
  from typing import Tuple
  from torch.backends._nnapi.prepare import convert_model_to_nnapi
  from torch.testing._internal.common_quantized import supported_qengines
  from torch.testing._internal.common_utils import TestCase, run_tests
label_desc: Use image node_id 5 for calling the TestNNAPI obj's underlying member method code with example usage: obj.float_and_quant_and_nhwc(inp_float, scale, zero_point) and returns: list