code: def testDequantizeOp(self):
      expected_output = [1.0, 2.0, 4.0, 8.0, 16.0, 255.0]
      inp = np.array([1, 2, 4, 8, 16, 255]).astype(np.uint8)
      with self.session(use_gpu=False) as sess:
          x = constant_op.constant(inp, shape=[6], dtype=dtypes.quint8)
          x_min = 0.0
          x_max = 255.0
          op = array_ops.dequantize(x, x_min, x_max, mode="MIN_FIRST")
          value = self.evaluate(op)
          self.assertArrayNear(expected_output, value, 0.1)
  
file_path: tensorflow/tensorflow/python/ops/quantized_ops_test.py
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the QuantizedOpsTest obj's underlying member method code with example usage: obj.testDequantizeOp() without return types