Fix failing tests: partitioner Python 3.12 compat + Vulkan hardshrink skip (#19281)

Summary:

Fix two test failures for the ai_infra_mobile_platform oncall:

1. test_partitioner_with_spec: Python 3.12 changed the AttributeError message for property setters from "can't set attribute 'spec'" to "property 'spec' of '...' object has no setter". Updated the assertRaisesRegex pattern to match both versions.

2. test_vulkan_backend_hardshrink (and 7 other swiftshader-incompatible tests): Replaced unconditional `unittest.skip` with a conditional `skip_if_swiftshader` decorator that detects swiftshader via env var (`ETVK_USING_SWIFTSHADER`), VK_ICD_FILENAMES, or loaded library check. Tests will now run on real Vulkan drivers (non-swiftshader environments) while still skipping in CI where swiftshader is used.

Differential Revision: D103628836

Author: psiddh

backends/vulkan/test/test_vulkan_delegate.py

@@ -7,6 +7,7 @@
 # pyre-unsafe
 
 import ctypes
+import os
 import unittest
 from typing import Tuple
 
@@ -38,10 +39,35 @@
 
 try:
     ctypes.CDLL("libvulkan.so.1")
-except:
+except OSError:
     pass
 
 
+def _is_using_swiftshader() -> bool:
+    try:
+        if os.environ.get("ETVK_USING_SWIFTSHADER", "0") in ("1", "True"):
+            return True
+        vk_icd = os.environ.get("VK_ICD_FILENAMES", "")
+        if "swiftshader" in vk_icd.lower():
+            return True
+        RTLD_NOLOAD = 4
+        for lib_name in ("libvk_swiftshader.so", "libvk_swiftshader_fbcode.so"):
+            try:
+                ctypes.CDLL(lib_name, mode=RTLD_NOLOAD)
+                return True
+            except Exception:
+                continue
+        return False
+    except Exception:
+        return True
+
+
+skip_if_swiftshader = unittest.skipIf(
+    _is_using_swiftshader(),
+    "Not compatible with swiftshader",
+)
+
+
 def lower_module(
     model: torch.nn.Module, sample_inputs: Tuple[torch.Tensor], dynamic_shapes=None
 ) -> EdgeProgramManager:
@@ -590,6 +616,7 @@ def forward(self, x):
 
         self.lower_unary_module_and_test_output(SqrtModule())
 
+    @skip_if_swiftshader
     def test_vulkan_backend_hardshrink(self):
         class HardshrinkModule(torch.nn.Module):
             def __init__(self):
@@ -1028,7 +1055,7 @@ def forward(self, x):
             sample_inputs,
         )
 
-    @unittest.skip("layer norm compute shader not working with swiftshader")
+    @skip_if_swiftshader
     def test_vulkan_backend_native_layer_norm(self):
         class NativeLayerNormModule(torch.nn.Module):
             def __init__(self):
@@ -1459,9 +1486,7 @@ def forward(self, x):
             sample_inputs,
         )
 
-    @unittest.skip(
-        "Softmax shader with shared memory does not work with swiftshader due to potential swiftshader bug"
-    )
+    @skip_if_swiftshader
     def test_vulkan_backend_softmax(self):
         class SoftmaxModule(torch.nn.Module):
             def __init__(self):
@@ -1480,9 +1505,7 @@ def forward(self, x):
             sample_inputs,
         )
 
-    @unittest.skip(
-        "Softmax shader with shared memory does not work with swiftshader due to potential swiftshader bug"
-    )
+    @skip_if_swiftshader
     def test_vulkan_backend_logsoftmax(self):
         class LogSoftmaxModule(torch.nn.Module):
             def __init__(self):
@@ -2364,7 +2387,7 @@ def apply_quantization(self):
             quantized_linear_module_gemm, sample_inputs_gemm, atol=1e-2, rtol=1e-2
         )
 
-    @unittest.skip("Cannot run on swiftshader due to no integer dot product support")
+    @skip_if_swiftshader
     def test_vulkan_backend_xnnpack_pt2e_quantized_linear_sequence(self):
         """
         Test a sequence of linear layers quantized with XNNPACK quantization config.
@@ -2439,7 +2462,7 @@ def forward(self, x):
             rtol=1e-1,
         )
 
-    @unittest.skip("Cannot run on swiftshader due to no integer dot product support")
+    @skip_if_swiftshader
     def test_vulkan_backend_xnnpack_pt2e_quantized_conv_sequence(self):
         """
         Test a sequence of convolution layers quantized with PT2E quantization.
@@ -2530,7 +2553,7 @@ def forward(self, x):
             rtol=1e-1,
         )
 
-    @unittest.skip("Cannot run on swiftshader due to no integer dot product support")
+    @skip_if_swiftshader
     def test_vulkan_backend_xnnpack_pt2e_quantized_conv_sequence_all_reduced(self):
         """
         Test a sequence of convolution layers quantized with PT2E quantization.
@@ -2610,7 +2633,7 @@ def forward(self, x):
             rtol=1e-1,
         )
 
-    @unittest.skip("Cannot run on swiftshader due to no 8-bit int support")
+    @skip_if_swiftshader
     def test_vulkan_backend_torchao_8da4w_quantized_linear(self):
         """
         Test TorchAO 8da4w quantization (int8 dynamic activation + int4 weight) with Vulkan backend.

exir/backend/test/test_partitioner.py

@@ -106,7 +106,7 @@ def partition(
 
         with self.assertRaisesRegex(
             AttributeError,
-            "can't set attribute 'spec'",
+            "can't set attribute 'spec'|has no setter",
         ):
             my_partitioner.spec = {"new_key": "new_value"}