Merge branch 'main' into zhiwei/codegen

test/xpu/skip_list_common.py

@@ -673,6 +673,13 @@
         # https://github.com/intel/torch-xpu-ops/issues/623
         "test_dtypes_nextafter_xpu",
 
+        # Bool is involved in latest PyTorch. XPU impl of unfold doesn't support it.
+        # https://github.com/intel/torch-xpu-ops/issues/887
+        "test_dtypes_nn_functional_unfold_xpu",
+        "test_non_standard_bool_values_nn_functional_unfold_xpu_bool",
+        "test_compare_cpu_nn_functional_unfold_xpu_bool",
+        "test_non_standard_bool_values_nn_functional_unfold_xpu_bool",
+
         # AssertionError: The supported dtypes for argsort on device type xpu are incorrect!
         # The following dtypes worked in forward but are not listed by the OpInfo: {torch.bool}.
         # CUDA does not have torch.bool support on argsort.
@@ -2105,6 +2112,10 @@
         "test_reduction_all_prod_layout2_xpu_float64",
         "test_reduction_all_sum_layout2_xpu_float16",
         "test_reduction_all_sum_layout2_xpu_float64",
+
+        # Bool is involved in latest PyTorch. XPU impl of unfold doesn't support it.
+        # https://github.com/intel/torch-xpu-ops/issues/887
+        "test_nn_unfold_xpu",
     ),
 
     "nn/test_packed_sequence_xpu.py": (
@@ -3483,5 +3494,8 @@
         "test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_max_pool1d_xpu_float",
         "test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_max_pool2d_xpu_bfloat16",
         "test_dispatch_symbolic_meta_outplace_nn_functional_adaptive_max_pool2d_xpu_float",        
+        "test_meta_outplace_nn_functional_unfold_xpu_bool",
+        "test_dispatch_meta_outplace_nn_functional_unfold_xpu_bool",
+        "test_dispatch_symbolic_meta_outplace_nn_functional_unfold_xpu_bool",
     ),
 }