code: def test_quantize_op(self, input_data):
      input_data[input_data == -0.0] = 0.0
  
      quantize = core.CreateOperator(
          "FloatToFused8BitRowwiseQuantized",
          ["input_data"],
          ["quantized_data"],
      )
      workspace.FeedBlob("input_data", input_data)
      workspace.RunOperatorOnce(quantize)
  
      quantized_data = workspace.FetchBlob("quantized_data")
  
      reference = fused_rowwise_8bit_quantize_reference(
          input_data.astype(np.float32)
      )
      np.testing.assert_array_almost_equal(quantized_data, reference)
  
file_path: pytorch/caffe2/python/fused_8bit_rowwise_conversion_ops_test.py
imports: from caffe2.python import core, workspace
  import caffe2.python.hypothesis_test_util
  import numpy
  import struct
  from hypothesis import given
label_desc: Use image node_id 1 for calling the TestFused8BitRowwiseQuantizationConversion obj's underlying member method code with example usage: obj.test_quantize_op(input_data) without return types