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executorch/backends/qualcomm/tests #7381

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11 changes: 5 additions & 6 deletions backends/qualcomm/tests/test_qnn_delegate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1617,7 +1617,7 @@ def test_qnn_backend_multi_contexts_composite(self):
)
sample_input = module.get_random_input()
edge_prog = to_edge(
torch.export.export(module, sample_input),
torch.export.export(module, sample_input, strict=True),
)
update_spill_fill_size(edge_prog.exported_program())
exec_prog = edge_prog.to_executorch()
Expand Down Expand Up @@ -1957,7 +1957,7 @@ def calibrator(gm):
self.assertEqual(len(exported_progs), 1)
# lower all graph again, the skipped operators will be left in CPU
exec_prog = to_edge(
torch.export.export(graph_module, sample_input),
torch.export.export(graph_module, sample_input, strict=True),
).to_executorch()
self.verify_output(module, sample_input, exec_prog)

Expand Down Expand Up @@ -2004,7 +2004,7 @@ def calibrator(gm):
self.assertEqual(len(exported_progs), 2)
# lower all graph again, the skipped operators will be left in CPU
exec_prog = exec_prog = to_edge(
torch.export.export(graph_module, sample_input),
torch.export.export(graph_module, sample_input, strict=True),
).to_executorch()
self.verify_output(module, sample_input, exec_prog)

Expand Down Expand Up @@ -2041,7 +2041,7 @@ def calibrator(gm):
self.assertEqual(len(exported_progs), 5)
# lower all graph again, the skipped operators will be delegated with fp16
exec_prog = to_edge(
torch.export.export(graph_module, sample_input),
torch.export.export(graph_module, sample_input, strict=True),
).to_executorch()
self.verify_output(module, sample_input, exec_prog)

Expand Down Expand Up @@ -2086,7 +2086,7 @@ def test_qnn_backend_multi_contexts_composite(self):
)
sample_input = module.get_random_input()
edge_prog = to_edge(
torch.export.export(module, sample_input),
torch.export.export(module, sample_input, strict=True),
)
update_spill_fill_size(edge_prog.exported_program())
exec_prog = edge_prog.to_executorch()
Expand Down Expand Up @@ -2721,7 +2721,6 @@ def test_ssd300_vgg16(self):


class TestExampleQaihubScript(TestQNN):

def required_envs(self, conditions=None) -> bool:
conditions = [] if conditions is None else conditions
return all(
Expand Down
2 changes: 1 addition & 1 deletion backends/qualcomm/tests/utils.py
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Expand Up @@ -385,7 +385,7 @@ def get_qdq_module(
custom_quant_annotations: Tuple[Callable] = (),
quant_dtype: QuantDtype = QuantDtype.use_8a8w,
) -> torch.fx.GraphModule:
m = torch.export.export(module, inputs).module()
m = torch.export.export(module, inputs, strict=True).module()

quantizer = QnnQuantizer()
quantizer.add_custom_quant_annotations(custom_quant_annotations)
Expand Down
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