code: def testConv2D1x2Filter(self):
      # The outputs are computed using third_party/py/IPython/notebook.
      # With a shift of 21, we should execute the optimized path here.
      expected_output = [
          231.0,
          252.0,
          273.0,
          384.0,
          423.0,
          462.0,
          690.0,
          765.0,
          840.0,
          843.0,
          936.0,
          1029.0,
      ]
      self._VerifyValues(
          tensor_in_sizes=[1, 2, 3, 3],
          filter_in_sizes=[1, 2, 3, 3],
          stride=1,
          padding="VALID",
          expected=expected_output,
      )
  
file_path: tensorflow/tensorflow/python/ops/quantized_conv_ops_test.py
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the Conv2DTest obj's underlying member method code with example usage: obj.testConv2D1x2Filter() without return types