code: def test_Fused8BitRowwiseQuantizedToFloat(self, input_data):
      QuantizeOp = core.CreateOperator(
          "FloatToFused8BitRowwiseQuantized",
          ["input_data"],
          ["quantized_data"],
      )
  
      workspace.FeedBlob("input_data", input_data)
      workspace.RunOperatorOnce(QuantizeOp)
  
      quantized_data = workspace.FetchBlob("quantized_data")
  
      dequantized_data = (
          torch.ops._caffe2.Fused8BitRowwiseQuantizedToFloat(
              torch.tensor(quantized_data)
          )
      )
  
      reference = fused_rowwise_8bit_quantize_dequantize_reference(
          input_data
      )
      np.testing.assert_array_almost_equal(
          dequantized_data.numpy(), reference
      )
  
imports: import struct
  import unittest
  import caffe2.python.hypothesis_test_util
  import hypothesis.strategies
  import numpy
  import torch
  from caffe2.python import core, workspace
  from hypothesis import given, settings
  from scipy.stats import norm
  from ._utils import assert_allclose
label_desc: Use image node_id 30 for calling the TorchIntegration obj's underlying member method code with example usage: obj.test_Fused8BitRowwiseQuantizedToFloat(input_data) without return types