backend changes to decomposition for transpose

py/torch_tensorrt/dynamo/backend/backends.py

@@ -10,6 +10,7 @@
 from torch._dynamo.backends.common import aot_autograd
 from torch._dynamo.utils import detect_fake_mode
 from torch._functorch.aot_autograd import aot_export_joint_simple
+from torch._ops import OpOverload
 from torch_tensorrt.dynamo import CompilationSettings
 from torch_tensorrt.dynamo._compiler import compile_module
 from torch_tensorrt.dynamo.lowering import (
@@ -59,17 +60,17 @@ def aot_torch_tensorrt_aten_backend(
         _pretraced_backend, settings=settings, engine_cache=engine_cache
     )
     settings_aot_autograd = {}
-    settings_aot_autograd["decompostions"] = get_decompositions(
+    settings_aot_autograd["decompositions"] = get_decompositions(
         settings.enable_experimental_decompositions
     )
-    # This is added since detach lowering leads to alias nodes
-    # Error - View operation returned a tensor that is the same as the input base tensor
-    # torch nop_decompositions in torch/_decomp/decompositions.py
-    if aten.detach in settings_aot_autograd["decompositions"]:
-        del settings_aot_autograd["decompositions"][aten.detach]
+    # transpose key deleted since not desirable to lower it to permute
+    for key in settings_aot_autograd["decompositions"]:
+        if "transpose" in key._name:
+            to_delete = key
+    del settings_aot_autograd["decompositions"][to_delete]
     return aot_autograd(
         fw_compiler=_pretraced_backend_autograd,
-        decompositions=get_decompositions(settings.enable_experimental_decompositions),
+        decompositions=settings_aot_autograd["decompositions"],
     )(gm, sample_inputs)