code: def testConvertIndexedSlicesWithInferredDType(self):
      converter = self.makePythonTensorConverter()
      x = indexed_slices.IndexedSlices(
          constant_op.constant(
              [[1, 2, 3]], dtypes.int32, name="x_values"
          ),
          constant_op.constant([1], dtypes.int64, name="x_indices"),
          constant_op.constant([3, 3], dtypes.int64, name="x_shape"),
      )
      result, dtype, used_fallback = converter.Convert(
          x, types_pb2.DT_INVALID
      )
      self.assertIsInstance(result, tensor.Tensor)
      self.assertAllEqual(result, [[0, 0, 0], [1, 2, 3], [0, 0, 0]])
      self.assertEqual(dtype, types_pb2.DT_INT32)
      self.assertTrue(used_fallback)
  
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 17 for calling the PythonTensorConverterTest obj's underlying member method code with example usage: obj.testConvertIndexedSlicesWithInferredDType() without return types