From dc1959e6a7843670331b978e0afbdff4e1b6dfd3 Mon Sep 17 00:00:00 2001
From: Xu Han <xu.han@outlook.com>
Date: Sun, 25 Aug 2024 20:39:52 +0000
Subject: [PATCH] [inductor] calibration inductor windows uts (7/N) (#134420)

Disable UTs on Windows: `test/dynamo/test_misc.py`

Pull Request resolved: https://github.com/pytorch/pytorch/pull/134420
Approved by: https://github.com/jansel
---
 test/dynamo/test_misc.py | 13 +++++++++++++
 1 file changed, 13 insertions(+)

diff --git a/test/dynamo/test_misc.py b/test/dynamo/test_misc.py
index b55fdb1fc7b..dc9e99f7701 100644
--- a/test/dynamo/test_misc.py
+++ b/test/dynamo/test_misc.py
@@ -80,6 +80,7 @@ from torch.testing._internal.common_utils import (
     IS_FBCODE,
     set_default_dtype,
     skipIfNNModuleInlined,
+    skipIfWindows,
     wrapDeterministicFlagAPITest,
 )
 from torch.testing._internal.jit_utils import JitTestCase
@@ -2848,6 +2849,9 @@ utils_device.CURRENT_DEVICE == None""".split(
         else:
             self.assertExpectedInline(str(cnts.frame_count), """2""")
 
+    @skipIfWindows(
+        msg="AssertionError: Object comparison failed: dtype('int64') != <class 'int'>"
+    )
     def test_numpy_with_builtin_type(self):
         x = np.random.rand(5)
 
@@ -2921,6 +2925,9 @@ utils_device.CURRENT_DEVICE == None""".split(
         self.assertEqual(fn(x), compiled_fn(x))
         self.assertEqual(counter.frame_count, 2)
 
+    @skipIfWindows(
+        msg="AssertionError: The values for attribute 'dtype' do not match: torch.int32 != torch.int64."
+    )
     def test_trace_ndarray_frame_2(self):
         # no tensors/ndarray as inputs in the frame
         def fn(x):
@@ -10483,6 +10490,9 @@ ShapeEnv not equal: field values don't match:
             else:
                 res.backward(grad)
 
+    @skipIfWindows(
+        msg="AssertionError: False is not true : Encountered an unexpected fallback to 'aten pow' in dynamo compiled code"
+    )
     def test_torch_dynamo_codegen_pow(self):
         def pow(x):
             return x**2
@@ -10605,6 +10615,9 @@ ShapeEnv not equal: field values don't match:
             torch.compile(fn4, backend="eager")(x)
             self.assertEqual(3, len(torch._dynamo.utils.get_compilation_metrics()))
 
+    @skipIfWindows(
+        msg="TypeError: sequence item 0: expected str instance, NoneType found"
+    )
     def test_funcname_cache(self):
         src = """\
 import torch