remove exir.capture from dynamic_shape_propogation test

Summary: title

Differential Revision: D56216416

Author: JacobSzwejbka

exir/tests/models.py

@@ -7,7 +7,7 @@
 # pyre-strict
 
 import itertools
-from typing import List, Optional, Tuple, Union
+from typing import Any, List, Optional, Tuple, Union
 
 import executorch.exir as exir
 
@@ -34,6 +34,11 @@ def forward(
     def get_random_inputs(self) -> Tuple[torch.Tensor, torch.Tensor]:
         return (torch.rand(4), torch.rand(5))
 
+    def get_dynamic_shape(self) -> Any:  # pyre-ignore[3]
+        dim = torch.export.Dim("dim", max=10)
+        dim2 = torch.export.Dim("dim2", max=10)
+        return ({0: dim}, {0: dim2})
+
 
 class ModelWithUnusedArg(nn.Module):
     def __init__(self) -> None:

exir/tests/test_dynamic_shape_propagation.py

@@ -7,8 +7,10 @@
 from unittest import TestCase
 
 from executorch import exir
+from executorch.exir import to_edge
 from executorch.exir.passes import DebugPass, HintBasedSymShapeEvalPass, SpecPropPass
 from executorch.exir.tests.models import Repeat
+from torch.export import export
 
 
 class TestDynamicShapeProp(TestCase):
@@ -17,15 +19,14 @@ def test_repeat(self):
         inputs = eager_model.get_random_inputs()
         inputs = inputs[0], inputs[1]
 
-        prog = exir.capture(
-            eager_model,
-            inputs,
-            exir.CaptureConfig(enable_dynamic_shape=True),
-        ).to_edge(exir.EdgeCompileConfig(_check_ir_validity=False))
+        prog = to_edge(
+            export(eager_model, inputs, dynamic_shapes=eager_model.get_dynamic_shape()),
+            compile_config=exir.EdgeCompileConfig(_check_ir_validity=False),
+        )
 
-        new_prog = prog.transform(SpecPropPass(), HintBasedSymShapeEvalPass())
+        new_prog = prog.transform([SpecPropPass(), HintBasedSymShapeEvalPass()])
 
-        gm = new_prog.exported_program.graph_module
+        gm = new_prog.exported_program().graph_module
 
         DebugPass(show_spec=True)(gm)
         *_, return_node = gm.graph.nodes