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7 changes: 6 additions & 1 deletion exir/tests/models.py
Original file line number Diff line number Diff line change
Expand Up @@ -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

Expand All @@ -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:
Expand Down
15 changes: 8 additions & 7 deletions exir/tests/test_dynamic_shape_propagation.py
Original file line number Diff line number Diff line change
Expand Up @@ -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):
Expand All @@ -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
Expand Down