code: def testConvertIntWithInferredDType(self):
      converter = self.makePythonTensorConverter()
      result, dtype, used_fallback = converter.Convert(
          12, types_pb2.DT_INVALID
      )
      self.assertIsInstance(result, tensor.Tensor)
      self.assertAllEqual(result, 12)
      self.assertEqual(dtype, types_pb2.DT_INT32)
      self.assertEqual(used_fallback, not context.executing_eagerly())
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.core.framework import types_pb2
  from tensorflow.python.eager import context
  from tensorflow.python.framework import _pywrap_python_tensor_converter
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 3 for calling the PythonTensorConverterTest obj's underlying member method code with example usage: obj.testConvertIntWithInferredDType() without return types