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Add legacy mode test #11492

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Jun 18, 2025
Merged

Add legacy mode test #11492

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50 changes: 28 additions & 22 deletions backends/xnnpack/test/ops/test_div.py
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Original file line number Diff line number Diff line change
Expand Up @@ -31,17 +31,20 @@ def forward(self, x):
return z

def _test_div(self, inputs):
(
Tester(self.Div(), inputs)
.export()
.check_count({"torch.ops.aten.div.Tensor": 1})
.to_edge_transform_and_lower()
.check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
.check_not(["executorch_exir_dialects_edge__ops_aten_div_Tensor"])
.to_executorch()
.serialize()
.run_method_and_compare_outputs()
)
for legacy_mode in (True, False):
tester = Tester(self.Div(), inputs)
tester.export()
tester.check_count({"torch.ops.aten.div.Tensor": 1})
if legacy_mode:
tester.to_edge()
tester.partition()
else:
tester.to_edge_transform_and_lower()
tester.check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
tester.check_not(["executorch_exir_dialects_edge__ops_aten_div_Tensor"])
tester.to_executorch()
tester.serialize()
tester.run_method_and_compare_outputs()

def test_fp16_div(self):
# Adding 4 to move distribution away from 0, 4 Std Dev should be far enough
Expand All @@ -59,14 +62,17 @@ def test_fp32_div(self):
def test_fp32_div_single_input(self):
# Adding 4 to move distribution away from 0, 4 Std Dev should be far enough
inputs = (torch.randn(1) + 4,)
(
Tester(self.DivSingleInput(), inputs)
.export()
.check_count({"torch.ops.aten.div.Tensor": 1})
.to_edge_transform_and_lower()
.check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
.check_not(["executorch_exir_dialects_edge__ops_aten_div_Tensor"])
.to_executorch()
.serialize()
.run_method_and_compare_outputs()
)
for legacy_mode in (True, False):
tester = Tester(self.DivSingleInput(), inputs)
tester.export()
tester.check_count({"torch.ops.aten.div.Tensor": 1})
if legacy_mode:
tester.to_edge()
tester.partition()
else:
tester.to_edge_transform_and_lower()
tester.check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
tester.check_not(["executorch_exir_dialects_edge__ops_aten_div_Tensor"])
tester.to_executorch()
tester.serialize()
tester.run_method_and_compare_outputs()
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