docstr: Test kernels that return a mixture of const and non-const outputs.
docstr_tok: ["Test","kernels","that","return","a","mixture","of","const","and","non-const","outputs","."]
code: def testSomeConstOutputs(self):
      """Test kernels that return a mixture of const and non-const outputs."""
  
      def SomeConstOutputs(x):
          return (
              constant_op.constant([-2, 7]),
              array_ops.identity(x),
              constant_op.constant(3.5),
          )
  
      self._compare(
          SomeConstOutputs,
          [np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32)],
      )
  
imports: import os
  import numpy
  from tensorflow.compiler.tests import test_utils
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.core.protobuf import rewriter_config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.compiler.xla import jit
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import function
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import while_loop
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the JitLaunchTest obj's underlying member method code with example usage: obj.testSomeConstOutputs() and returns: constant_op,  array_ops,  constant_op