diff --git a/torch/_dynamo/backends/torchxla.py b/torch/_dynamo/backends/torchxla.py
index 6b5645d4b90..32e1aba8ec6 100644
--- a/torch/_dynamo/backends/torchxla.py
+++ b/torch/_dynamo/backends/torchxla.py
@@ -1,7 +1,6 @@
 # mypy: ignore-errors
 
 import logging
-import warnings
 
 from functorch.compile import make_boxed_func
 
@@ -12,20 +11,6 @@ log = logging.getLogger(__name__)
 
 
 @register_experimental_backend
-def torchxla_trivial(gm, fake_tensor_inputs):
-    return gm
-
-
-@register_experimental_backend
-def torchxla_trace_once(model, fake_tensor_inputs):
-    warnings.warn(
-        "This backend will be deprecated in 2.2, please use `openxla` backend instead"
-    )
-
-    return xla_backend_helper(model, fake_tensor_inputs)
-
-
-@register_backend
 def openxla_eval(model, fake_tensor_inputs):
     return xla_backend_helper(model, fake_tensor_inputs, boxed=False)
 
@@ -55,20 +40,6 @@ def xla_backend_helper(model, fake_tensor_inputs, boxed=False):
     return make_boxed_func(fwd) if boxed else fwd
 
 
-aot_torchxla_trivial = aot_autograd(
-    fw_compiler=torchxla_trivial,
-)
-register_experimental_backend(
-    name="aot_torchxla_trivial", compiler_fn=aot_torchxla_trivial
-)
-
-aot_torchxla_trace_once = aot_autograd(
-    fw_compiler=torchxla_trace_once,
-)
-register_experimental_backend(
-    name="aot_torchxla_trace_once", compiler_fn=aot_torchxla_trace_once
-)
-
 openxla = aot_autograd(
     fw_compiler=openxla_eval_boxed,
 )