[export] Remove torch._export.export uses (pytorch#6486)

test/stablehlo/test_export_llama.py

@@ -2,7 +2,6 @@
 import torch_xla.core.xla_model as xm
 from torch_xla.stablehlo import save_as_stablehlo, StableHLOExportOptions
 import torch
-import torch._export
 import torchvision
 
 import tempfile
@@ -18,7 +17,7 @@ def test_llama_export(self):
     model = llama_model.Transformer(options)
     arg = (torch.randint(0, 1000, (1, 100)), 0)
     """
-    exported = torch._export.export(model, arg)
+    exported = torch.export.export(model, arg)
 
     with tempfile.TemporaryDirectory() as tempdir:
       save_as_stablehlo(exported, arg, tempdir)
@@ -30,7 +29,7 @@ def test_llama_export(self):
     options = StableHLOExportOptions()
     options.override_tracing_arguments = arg
     with torch.no_grad():
-      exported2 = torch._export.export(gen, arg)
+      exported2 = torch.export.export(gen, arg)
     with tempfile.TemporaryDirectory() as tempdir:
       save_as_stablehlo(exported2, tempdir, options)
 
@@ -40,7 +39,7 @@ def test_llama_export(self):
     arg = (torch.randint(0, 1000, (8, 100)), torch.arange(0, 100), None)
     options = StableHLOExportOptions()
     options.override_tracing_arguments = arg
-    exported = torch._export.export(model, arg)
+    exported = torch.export.export(model, arg)
     with tempfile.TemporaryDirectory() as tempdir:
       save_as_stablehlo(exported, tempdir, options)
 

test/stablehlo/test_stablehlo_inference.py

@@ -10,7 +10,7 @@
 
 
 def export_torch_model(model, args):
-  exported = torch._export.export(model, args)
+  exported = torch.export.export(model, args)
   options = StableHLOExportOptions()
   options.override_tracing_arguments = args
   return exported_program_to_stablehlo(exported, options)

test/stablehlo/test_stablehlo_save_load.py

@@ -4,7 +4,6 @@
 from torch_xla import save_torch_model_as_stablehlo, save_as_stablehlo
 from torch_xla.stablehlo import StableHLOExportOptions, StableHLOGraphModule
 import torch
-import torch._export
 import torchvision
 import unittest
 import os
@@ -92,7 +91,7 @@ def test_cat(self):
   def test_save_load(self):
     model = ElementwiseAdd()
     inputs = model.get_random_inputs()
-    exported = torch._export.export(model, inputs)
+    exported = torch.export.export(model, inputs)
     options = StableHLOExportOptions()
     options.override_tracing_arguments = inputs
     with tempfile.TemporaryDirectory() as tempdir:
@@ -104,7 +103,7 @@ def test_save_load(self):
   def test_save_load_without_saving_weights(self):
     model = ElementwiseAdd()
     inputs = model.get_random_inputs()
-    exported = torch._export.export(model, inputs)
+    exported = torch.export.export(model, inputs)
     options = StableHLOExportOptions()
     options.override_tracing_arguments = inputs
     options.save_weights = False
@@ -138,7 +137,7 @@ def test_save_load2_without_saving_weights(self):
   def test_save_load3(self):
     model = ElementwiseAdd()
     inputs = model.get_random_inputs()
-    exported = torch._export.export(model, inputs)
+    exported = torch.export.export(model, inputs)
     with tempfile.TemporaryDirectory() as tempdir:
       # Shouldnt need specify options because exported has example_input inside
       save_as_stablehlo(exported, tempdir)

test/test_core_aten_ops.py

@@ -3,7 +3,6 @@
 from torch_xla.stablehlo import exported_program_to_stablehlo
 from torch.utils import _pytree as pytree
 import torch
-import torch._export
 
 import os
 import tempfile