code: def testConvertNumpyArrayWithExplicitDtype(self):
      converter = self.makePythonTensorConverter()
      x = np.array([[1, 2, 3], [4, 5, 6]], np.int32)
      result, dtype, used_fallback = converter.Convert(
          x, types_pb2.DT_INT64
      )
      self.assertIsInstance(result, tensor.Tensor)
      self.assertAllEqual(result, [[1, 2, 3], [4, 5, 6]])
      self.assertEqual(dtype, types_pb2.DT_INT64)
      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 14 for calling the PythonTensorConverterTest obj's underlying member method code with example usage: obj.testConvertNumpyArrayWithExplicitDtype() without return types