[Backend Tester] Skip in-place activation tests due to lack of support in ET

ghstack-source-id: 154fa15
ghstack-comment-id: 3257141684
Pull-Request: #13989

Author: GregoryComer

backends/test/suite/operators/test_elu.py

@@ -8,6 +8,7 @@
 
 
 import torch
+import unittest
 from executorch.backends.test.suite.flow import TestFlow
 
 from executorch.backends.test.suite.operators import (
@@ -42,5 +43,6 @@ def test_elu_f32_multi_dim(self, flow: TestFlow) -> None:
     def test_elu_f32_alpha(self, flow: TestFlow) -> None:
         self._test_op(Model(alpha=0.5), (torch.randn(3, 4, 5),), flow)
 
+    @unittest.skip("In place activations aren't properly defunctionalized yet.")
     def test_elu_f32_inplace(self, flow: TestFlow) -> None:
         self._test_op(Model(inplace=True), (torch.randn(3, 4, 5),), flow)

backends/test/suite/operators/test_hardsigmoid.py

@@ -8,6 +8,7 @@
 
 
 import torch
+import unittest
 from executorch.backends.test.suite.flow import TestFlow
 
 from executorch.backends.test.suite.operators import (
@@ -38,6 +39,7 @@ def test_hardsigmoid_f32_single_dim(self, flow: TestFlow) -> None:
     def test_hardsigmoid_f32_multi_dim(self, flow: TestFlow) -> None:
         self._test_op(Model(), (torch.randn(2, 3, 4, 5),), flow)
 
+    @unittest.skip("In place activations aren't properly defunctionalized yet.")
     def test_hardsigmoid_f32_inplace(self, flow: TestFlow) -> None:
         self._test_op(Model(inplace=True), (torch.randn(3, 4, 5),), flow)
 

backends/test/suite/operators/test_hardswish.py

@@ -8,6 +8,7 @@
 
 
 import torch
+import unittest
 from executorch.backends.test.suite.flow import TestFlow
 
 from executorch.backends.test.suite.operators import (
@@ -38,6 +39,7 @@ def test_hardswish_f32_single_dim(self, flow: TestFlow) -> None:
     def test_hardswish_f32_multi_dim(self, flow: TestFlow) -> None:
         self._test_op(Model(), (torch.randn(2, 3, 4, 5),), flow)
 
+    @unittest.skip("In place activations aren't properly defunctionalized yet.")
     def test_hardswish_f32_inplace(self, flow: TestFlow) -> None:
         self._test_op(Model(inplace=True), (torch.randn(3, 4, 5),), flow)
 

backends/test/suite/operators/test_hardtanh.py

@@ -8,6 +8,7 @@
 
 
 import torch
+import unittest
 from executorch.backends.test.suite.flow import TestFlow
 
 from executorch.backends.test.suite.operators import (
@@ -45,6 +46,7 @@ def test_hardtanh_f32_multi_dim(self, flow: TestFlow) -> None:
     def test_hardtanh_f32_custom_range(self, flow: TestFlow) -> None:
         self._test_op(Model(min_val=-2.0, max_val=2.0), (torch.randn(3, 4, 5),), flow)
 
+    @unittest.skip("In place activations aren't properly defunctionalized yet.")
     def test_hardtanh_f32_inplace(self, flow: TestFlow) -> None:
         self._test_op(Model(inplace=True), (torch.randn(3, 4, 5),), flow)
 

backends/test/suite/operators/test_leaky_relu.py

@@ -8,6 +8,7 @@
 
 
 import torch
+import unittest
 from executorch.backends.test.suite.flow import TestFlow
 
 from executorch.backends.test.suite.operators import (
@@ -44,6 +45,7 @@ def test_leaky_relu_f32_multi_dim(self, flow: TestFlow) -> None:
     def test_leaky_relu_f32_custom_slope(self, flow: TestFlow) -> None:
         self._test_op(Model(negative_slope=0.1), (torch.randn(3, 4, 5),), flow)
 
+    @unittest.skip("In place activations aren't properly defunctionalized yet.")
     def test_leaky_relu_f32_inplace(self, flow: TestFlow) -> None:
         self._test_op(Model(inplace=True), (torch.randn(3, 4, 5),), flow)
 

backends/test/suite/operators/test_relu.py

@@ -8,6 +8,7 @@
 
 
 import torch
+import unittest
 from executorch.backends.test.suite.flow import TestFlow
 
 from executorch.backends.test.suite.operators import (
@@ -38,5 +39,6 @@ def test_relu_f32_single_dim(self, flow: TestFlow) -> None:
     def test_relu_f32_multi_dim(self, flow: TestFlow) -> None:
         self._test_op(Model(), (torch.randn(2, 3, 4, 5),), flow)
 
+    @unittest.skip("In place activations aren't properly defunctionalized yet.")
     def test_relu_f32_inplace(self, flow: TestFlow) -> None:
         self._test_op(Model(inplace=True), (torch.randn(3, 4, 5),), flow)

backends/test/suite/operators/test_silu.py

@@ -8,6 +8,7 @@
 
 
 import torch
+import unittest
 from executorch.backends.test.suite.flow import TestFlow
 
 from executorch.backends.test.suite.operators import (
@@ -38,6 +39,7 @@ def test_silu_f32_single_dim(self, flow: TestFlow) -> None:
     def test_silu_f32_multi_dim(self, flow: TestFlow) -> None:
         self._test_op(Model(), (torch.randn(2, 3, 4, 5),), flow)
 
+    @unittest.skip("In place activations aren't properly defunctionalized yet.")
     def test_silu_f32_inplace(self, flow: TestFlow) -> None:
         self._test_op(Model(inplace=True), (torch.randn(3, 4, 5),), flow)
 

backends/test/suite/operators/test_threshold.py

@@ -8,6 +8,7 @@
 
 
 import torch
+import unittest
 from executorch.backends.test.suite.flow import TestFlow
 
 from executorch.backends.test.suite.operators import (
@@ -51,6 +52,7 @@ def test_threshold_f32_custom_value(self, flow: TestFlow) -> None:
     def test_threshold_f32_custom_threshold_value(self, flow: TestFlow) -> None:
         self._test_op(Model(threshold=0.5, value=1.0), (torch.randn(3, 4, 5),), flow)
 
+    @unittest.skip("In place activations aren't properly defunctionalized yet.")
     def test_threshold_f32_inplace(self, flow: TestFlow) -> None:
         self._test_op(Model(inplace=True), (torch.randn(3, 4, 5),), flow)