[inductor] disable capture_pre_autograd_graph related UTs on Windows (p…

…ytorch#132848)

Contined to pytorch#132841

We disable `capture_pre_autograd_graph` related UT on Windows.
Disable `test_lstm_packed_change_input_sizes` and `test_multihead_attention` UTs on Windows.

**TODO:**
Turn on them after fix `capture_pre_autograd_graph` issue on Windows.

## Local Test:
Linux is not skiped:
<img width="1387" alt="image" src="https://github.com/user-attachments/assets/28dfbb4b-d9c0-4d5b-be84-d7b3697bcd3f">

And we can skiped them on Windows:
<img width="853" alt="image" src="https://github.com/user-attachments/assets/e96ebcf8-9bf3-43aa-93fd-fb33d3743573">

Co-authored-by: Jiong Gong <[email protected]>
Pull Request resolved: pytorch#132848
Approved by: https://github.com/jgong5, https://github.com/desertfire

test/inductor/test_cpu_cpp_wrapper.py

@@ -9,7 +9,12 @@
 from torch.testing._internal.common_device_type import (
     get_desired_device_type_test_bases,
 )
-from torch.testing._internal.common_utils import IS_MACOS, slowTest, TEST_WITH_ROCM
+from torch.testing._internal.common_utils import (
+    IS_MACOS,
+    IS_WINDOWS,
+    slowTest,
+    TEST_WITH_ROCM,
+)
 from torch.testing._internal.inductor_utils import HAS_CPU
 
 
@@ -266,13 +271,14 @@ class BaseTest(NamedTuple):
             "test_lstm_packed_change_input_sizes",
             "cpu",
             test_cpu_repro.CPUReproTests(),
-            condition=torch.backends.mkldnn.is_available(),
+            condition=torch.backends.mkldnn.is_available() and not IS_WINDOWS,
         ),
         BaseTest("test_max_pool2d6"),
         BaseTest("test_mm_views"),
         BaseTest("test_multihead_attention", "cpu", test_cpu_repro.CPUReproTests()),
         BaseTest(
             "test_multi_threading",
+            condition=not IS_WINDOWS,
             # Two threads compile, so we expect the output code to be printed twice.
             code_string_count={"py::gil_scoped_release release;": 2},
         ),
@@ -281,37 +287,37 @@ class BaseTest(NamedTuple):
             "test_qconv2d",
             "cpu",
             test_mkldnn_pattern_matcher.TestPatternMatcher(),
-            condition=torch.backends.mkldnn.is_available(),
+            condition=torch.backends.mkldnn.is_available() and not IS_WINDOWS,
         ),
         BaseTest(
             "test_qconv2d_relu",
             "cpu",
             test_mkldnn_pattern_matcher.TestPatternMatcher(),
-            condition=torch.backends.mkldnn.is_available(),
+            condition=torch.backends.mkldnn.is_available() and not IS_WINDOWS,
         ),
         BaseTest(
             "test_qconv2d_add",
             "cpu",
             test_mkldnn_pattern_matcher.TestPatternMatcher(),
-            condition=torch.backends.mkldnn.is_available(),
+            condition=torch.backends.mkldnn.is_available() and not IS_WINDOWS,
         ),
         BaseTest(
             "test_qconv2d_add_relu",
             "cpu",
             test_mkldnn_pattern_matcher.TestPatternMatcher(),
-            condition=torch.backends.mkldnn.is_available(),
+            condition=torch.backends.mkldnn.is_available() and not IS_WINDOWS,
         ),
         BaseTest(
             "test_qconv2d_dequant_promotion",
             "cpu",
             test_mkldnn_pattern_matcher.TestPatternMatcher(),
-            condition=torch.backends.mkldnn.is_available(),
+            condition=torch.backends.mkldnn.is_available() and not IS_WINDOWS,
         ),
         BaseTest(
             "test_qconv2d_maxpool2d_linear_dynamic",
             "cpu",
             test_mkldnn_pattern_matcher.TestDynamicPatternMatcher(),
-            condition=torch.backends.mkldnn.is_available(),
+            condition=torch.backends.mkldnn.is_available() and not IS_WINDOWS,
             func_inputs=[
                 [
                     "op_qconv2d_pointwise.call",
@@ -324,49 +330,49 @@ class BaseTest(NamedTuple):
             "test_qlinear",
             "cpu",
             test_mkldnn_pattern_matcher.TestPatternMatcher(),
-            condition=torch.backends.mkldnn.is_available(),
+            condition=torch.backends.mkldnn.is_available() and not IS_WINDOWS,
         ),
         BaseTest(
             "test_qlinear_relu",
             "cpu",
             test_mkldnn_pattern_matcher.TestPatternMatcher(),
-            condition=torch.backends.mkldnn.is_available(),
+            condition=torch.backends.mkldnn.is_available() and not IS_WINDOWS,
         ),
         BaseTest(
             "test_qlinear_gelu",
             "cpu",
             test_mkldnn_pattern_matcher.TestPatternMatcher(),
-            condition=torch.backends.mkldnn.is_available(),
+            condition=torch.backends.mkldnn.is_available() and not IS_WINDOWS,
         ),
         BaseTest(
             "test_qlinear_add",
             "cpu",
             test_mkldnn_pattern_matcher.TestPatternMatcher(),
-            condition=torch.backends.mkldnn.is_available(),
+            condition=torch.backends.mkldnn.is_available() and not IS_WINDOWS,
         ),
         BaseTest(
             "test_qlinear_add_relu",
             "cpu",
             test_mkldnn_pattern_matcher.TestPatternMatcher(),
-            condition=torch.backends.mkldnn.is_available(),
+            condition=torch.backends.mkldnn.is_available() and not IS_WINDOWS,
         ),
         BaseTest(
             "test_qlinear_dequant_promotion",
             "cpu",
             test_mkldnn_pattern_matcher.TestPatternMatcher(),
-            condition=torch.backends.mkldnn.is_available(),
+            condition=torch.backends.mkldnn.is_available() and not IS_WINDOWS,
         ),
         BaseTest(
             "test_dynamic_qlinear",
             "cpu",
             test_mkldnn_pattern_matcher.TestPatternMatcher(),
-            condition=torch.backends.mkldnn.is_available(),
+            condition=torch.backends.mkldnn.is_available() and not IS_WINDOWS,
         ),
         BaseTest(
             "test_dynamic_qlinear_qat",
             "cpu",
             test_mkldnn_pattern_matcher.TestPatternMatcher(),
-            condition=torch.backends.mkldnn.is_available(),
+            condition=torch.backends.mkldnn.is_available() and not IS_WINDOWS,
         ),
         BaseTest("test_randint"),
         BaseTest("test_randn_with_dtype_and_device"),