code: def testFastpathExecute_ResourceVariableTapeWrite(self):
      ctx = context.context()
      ctx.ensure_initialized()
  
      with backprop.GradientTape(persistent=True) as tape:
          a_2_by_2 = constant_op.constant(1.0, shape=[2, 2])
          m = resource_variable_ops.ResourceVariable(a_2_by_2)
          tape.watch(m)
          z = pywrap_tfe.TFE_Py_FastPathExecute(
              ctx,
              "MatMul",
              None,
              m,
              m,
              "transpose_a",
              False,
              "transpose_b",
              False,
          )
      dz_dy = tape.gradient(z, [m])[0]
      self.assertAllEqual(
          dz_dy.numpy(), constant_op.constant(4.0, shape=[2, 2]).numpy()
      )
  
imports: import sys
  import traceback
  import numpy
  from tensorflow.python import pywrap_tfe
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.eager import core
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import resource_variable_ops
label_desc: Use image node_id 4 for calling the Tests obj's underlying member method code with example usage: obj.testFastpathExecute_ResourceVariableTapeWrite() without return types