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Differential Revision: D67551054

Pull Request resolved: #7422

Author: lucylq

exir/emit/test/test_emit.py

@@ -335,7 +335,8 @@ def forward(self, x: torch.Tensor) -> torch.Tensor:
 
         program = (
             to_edge(export(f, (torch.randn(2, 3, 5),), strict=True))
-            .to_executorch().executorch_program
+            .to_executorch()
+            .executorch_program
         )
         exir.print_program.pretty_print(program)
 
@@ -522,8 +523,7 @@ def forward(self, x: torch.Tensor, n: torch.Tensor) -> torch.Tensor:
         program = (
             to_edge(export(f, (x, x), strict=True))
             # .to_edge(self.compile_config)  # TODO(larryliu): fix cat
-            .to_executorch()
-            .executorch_program
+            .to_executorch().executorch_program
         )
 
         self.assertEqual(len(program.execution_plan[0].chains[0].instructions), 1)

exir/tests/test_quant_fusion_pass.py

@@ -163,7 +163,9 @@ def forward(self, x, y):
             exactly=True,
         ).check("executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor").check(
             "executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default"
-        ).check("executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor").check(
+        ).check(
+            "executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor"
+        ).check(
             "executorch_exir_dialects_edge__ops_quantized_decomposed_add_default"
         ).check(
             "executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default"
@@ -175,9 +177,7 @@ def forward(self, x, y):
         # check that we are using out variant of add and slice_copy
         FileCheck().check("torch.ops.quantized_decomposed.add.out").check(
             "torch.ops.aten.slice_copy.Tensor_out"
-        ).run(
-            m.exported_program().graph_module.code
-        )
+        ).run(m.exported_program().graph_module.code)
 
     def test_cat(self) -> None:
         class M(torch.nn.Module):