[TF/XLA] Only force retracing for non-unique XLA context ID for TPUReplicatedContext

Fixes https://github.com/tensorflow/tensorflow/issues/39872

PiperOrigin-RevId: 316503485
Change-Id: Ice63983fcdf2fdedca60a9054f3b76ac60e1ff15

tensorflow/python/eager/def_function_xla_jit_test.py

@@ -29,7 +29,6 @@ from tensorflow.python.ops import array_ops
 from tensorflow.python.ops import control_flow_ops
 from tensorflow.python.ops import control_flow_util
 from tensorflow.python.ops import math_ops
-from tensorflow.python.ops import random_ops
 from tensorflow.python.ops import resource_variable_ops
 from tensorflow.python.ops import tensor_array_ops
 from tensorflow.python.platform import test
@@ -386,24 +385,6 @@ class DefFunctionTest(test.TestCase):
     f64_input = constant_op.constant([1.1, 2.2, 3.3], dtype=dtypes.float64)
     self.assertAllClose([1.1, 3.3, 6.6], f(f64_input))
 
-  def testNoExcessiveRetracing(self):
-    inner_retracings = 0
-
-    @def_function.function(experimental_compile=True)
-    def inner(a, b):
-      nonlocal inner_retracings
-      inner_retracings += 1
-      return a * b + a
-
-    def outer(a, b):
-      return inner(a, b)
-
-    func_input = random_ops.random_normal([10, 10])
-    for _ in range(2):
-      def_function.function(outer)(func_input, func_input)
-
-    self.assertEqual(inner_retracings, 1)
-
 
 if __name__ == '__main__':
   ops.enable_eager_execution()

tensorflow/python/eager/function.py

@@ -2981,10 +2981,9 @@ class Function(object):
     if not executing_eagerly:
       # We want to force function retracing for each different
       # XLAControlFlowContext, so add `xla_context_id` to the cache key.
-      xla_context = _enclosing_xla_context()
-      if xla_context is not None and \
-            xla_context.RequiresUniqueFunctionRetracing():
-        xla_context_id = id(xla_context)
+      tpu_context = _enclosing_xla_context()
+      if tpu_context is not None:
+        xla_context_id = id(tpu_context)
 
       with ops.init_scope():
         # The graph, or whether we're executing eagerly, should be a part of the

tensorflow/python/ops/control_flow_ops.py

@@ -3682,11 +3682,6 @@ class XLAControlFlowContext(ControlFlowContext):
   def AddValue(self, x):
     return x
 
-  def RequiresUniqueFunctionRetracing(self):
-    """Returns whether the tf.function should be retraced if the context changes.
-    """
-    return False
-
 
 def from_control_flow_context_def(context_def, import_scope=None):
   """Deserializes `context_def` into the appropriate ControlFlowContext.

tensorflow/python/tpu/tpu.py

@@ -639,12 +639,6 @@ class TPUReplicateContext(control_flow_ops.XLAControlFlowContext):
   def GetControlPivot(self):
     return self._pivot
 
-  def RequiresUniqueFunctionRetracing(self):
-    # More context: b/158152827. TPU stack uses the TPUReplicateContext to
-    # create replicated variable handles and cluster TPU computations, thus we
-    # always retrace a tf.function when the wrapped TPUReplicateContext changes.
-    return True
-
 
 class OutsideCompilationV2Context(control_flow_ops.ControlFlowContext):
   """The context for outside compilation in Tensorflow 2.0.