[Backend Tester] Skip inf and nan operator tests (pytorch#13990)

Skip tests that validate inf and nan edge cases. In hindsight, it's not
reasonable to validate these on backends, with varying quantization and
precision. I've marked them as skip to allow for manually running as
they might have some conceptual value to backend authors.

Author: GregoryComer

backends/test/suite/operators/test_abs.py

@@ -7,6 +7,8 @@
 # pyre-unsafe
 
 
+import unittest
+
 import torch
 from executorch.backends.test.suite.flow import TestFlow
 
@@ -45,6 +47,7 @@ def test_abs_shapes(self, flow: TestFlow) -> None:
         # 3D tensor
         self._test_op(AbsModel(), (torch.randn(3, 4, 5),), flow)
 
+    @unittest.skip("NaN and Inf are not enforced for backends.")
     def test_abs_edge_cases(self, flow: TestFlow) -> None:
         # Test edge cases
 

backends/test/suite/operators/test_amax.py

@@ -6,6 +6,7 @@
 
 # pyre-unsafe
 
+import unittest
 from typing import List, Optional, Tuple, Union
 
 import torch
@@ -201,6 +202,7 @@ def test_amax_shapes(self, flow: TestFlow) -> None:
             flow,
         )
 
+    @unittest.skip("NaN and Inf are not enforced for backends.")
     def test_amax_edge_cases(self, flow: TestFlow) -> None:
         x = torch.tensor([[1.0, float("inf"), 3.0], [4.0, 5.0, float("inf")]])
         self._test_op(

backends/test/suite/operators/test_amin.py

@@ -6,6 +6,7 @@
 
 # pyre-unsafe
 
+import unittest
 from typing import List, Optional, Tuple, Union
 
 import torch
@@ -203,6 +204,7 @@ def test_amin_shapes(self, flow: TestFlow) -> None:
             flow,
         )
 
+    @unittest.skip("NaN and Inf are not enforced for backends.")
     def test_amin_edge_cases(self, flow: TestFlow) -> None:
         x = torch.tensor([[1.0, float("-inf"), 3.0], [4.0, 5.0, float("-inf")]])
         self._test_op(

backends/test/suite/operators/test_argmax.py

@@ -6,6 +6,7 @@
 
 # pyre-unsafe
 
+import unittest
 from typing import Optional
 
 import torch
@@ -143,6 +144,7 @@ def test_argmax_shapes(self, flow: TestFlow) -> None:
             flow,
         )
 
+    @unittest.skip("NaN and Inf are not enforced for backends.")
     def test_argmax_edge_cases(self, flow: TestFlow) -> None:
         x = torch.tensor([[1.0, float("inf"), 3.0], [4.0, 5.0, float("inf")]])
         self._test_op(

backends/test/suite/operators/test_argmin.py

@@ -6,6 +6,7 @@
 
 # pyre-unsafe
 
+import unittest
 from typing import Optional
 
 import torch
@@ -143,6 +144,7 @@ def test_argmin_shapes(self, flow: TestFlow) -> None:
             flow,
         )
 
+    @unittest.skip("NaN and Inf are not enforced for backends.")
     def test_argmin_edge_cases(self, flow: TestFlow) -> None:
         x = torch.tensor([[1.0, float("-inf"), 3.0], [4.0, 5.0, float("-inf")]])
         self._test_op(

backends/test/suite/operators/test_ceil.py

@@ -7,6 +7,8 @@
 # pyre-unsafe
 
 
+import unittest
+
 import torch
 from executorch.backends.test.suite.flow import TestFlow
 
@@ -45,6 +47,7 @@ def test_ceil_shapes(self, flow: TestFlow) -> None:
         # 3D tensor
         self._test_op(CeilModel(), (torch.randn(3, 4, 5),), flow)
 
+    @unittest.skip("NaN and Inf are not enforced for backends.")
     def test_ceil_edge_cases(self, flow: TestFlow) -> None:
         # Test edge cases
 

backends/test/suite/operators/test_clamp.py

@@ -7,6 +7,8 @@
 # pyre-unsafe
 
 
+import unittest
+
 import torch
 from executorch.backends.test.suite.flow import TestFlow
 
@@ -56,6 +58,7 @@ def test_clamp_shapes(self, flow: TestFlow) -> None:
         # 3D tensor
         self._test_op(model, (torch.randn(3, 4, 5),), flow)
 
+    @unittest.skip("NaN and Inf are not enforced for backends.")
     def test_clamp_edge_cases(self, flow: TestFlow) -> None:
         # Test edge cases
 

backends/test/suite/operators/test_exp.py

@@ -7,6 +7,8 @@
 # pyre-unsafe
 
 
+import unittest
+
 import torch
 from executorch.backends.test.suite.flow import TestFlow
 
@@ -46,6 +48,7 @@ def test_exp_shapes(self, flow: TestFlow) -> None:
         # 3D tensor
         self._test_op(ExpModel(), (torch.randn(3, 4, 5),), flow)
 
+    @unittest.skip("NaN and Inf are not enforced for backends.")
     def test_exp_edge_cases(self, flow: TestFlow) -> None:
         # Test edge cases
 

backends/test/suite/operators/test_floor.py

@@ -7,6 +7,8 @@
 # pyre-unsafe
 
 
+import unittest
+
 import torch
 from executorch.backends.test.suite.flow import TestFlow
 
@@ -42,6 +44,7 @@ def test_floor_shapes(self, flow: TestFlow) -> None:
         # 3D tensor
         self._test_op(FloorModel(), (torch.randn(3, 4, 5),), flow)
 
+    @unittest.skip("NaN and Inf are not enforced for backends.")
     def test_floor_edge_cases(self, flow: TestFlow) -> None:
         # Test edge cases
 

backends/test/suite/operators/test_floor_divide.py

@@ -6,6 +6,8 @@
 
 # pyre-unsafe
 
+import unittest
+
 import torch
 from executorch.backends.test.suite.flow import TestFlow
 
@@ -178,6 +180,7 @@ def test_floor_divide_values(self, flow: TestFlow) -> None:
         y = torch.tensor([-2.0]).expand_as(x).clone()
         self._test_op(model, (x, y), flow, generate_random_test_inputs=False)
 
+    @unittest.skip("NaN and Inf are not enforced for backends.")
     def test_floor_divide_edge_cases(self, flow: TestFlow) -> None:
         # Test edge cases
         model = FloorDivideModel()