[upstream #3539] [Bug Skip] test_cache_hot_load device=xpu fails on XPU: AOTAutograd / inductor cache counter mismatch

[Stonepia]

[upstream pytorch#3539] [Bug Skip] test_cache_hot_load device=xpu fails on XPU: AOTAutograd / inductor cache counter mismatch

Fixes https://github.com/intel-sandbox/torch-xpu-ops-exp/issues/381

Root Cause: The test exercises the AOTAutograd cache hot-load round trip:

1. Compile a function with dynamic=True, populate the FX graph cache.
2. torch.compiler.save_cache_artifacts() → serialise.
3. Clear caches; torch.compiler.load_cache_artifacts() → deserialise.
4. Recompile and assert counters reflect a hit on the AOTAutograd cache
   plus the expected number of fxgraph_cache_miss /
   fxgraph_lookup_write_file events.

On XPU, autotune_local_cache: True produces extra Triton autotune
cache entries (visible as len(cache_info.autotune_artifacts) == 2
where autotune_expect = 2 if device == GPU_TYPE else 0). The
non-bundled subclass adds these to the inductor counter
(Expected 4 but got 6); the bundled subclass appears to bypass the
inductor count entirely (Expected 2 but got 0).

This is consistent with the XPU autotune cache pathway not following
the same accounting as the CUDA path, OR the bundled cache
serialisation on XPU not embedding the autotune artifacts into the
bundle the way it does on CUDA.

Failed Tests:

• dynamo/test_aot_autograd_cache_xpu.py::AOTAutogradCacheTests::test_cache_hot_load_device_xpu_bfloat16_dynamic_True
• dynamo/test_aot_autograd_cache_xpu.py::AOTAutogradCacheBundledTests::test_cache_hot_load_device_xpu_bfloat16_dynamic_True
• dynamo/test_aot_autograd_cache_xpu.py::AOTAutogradCacheTests::test_cache_hot_load_device_xpu_float32_dynamic_True
• dynamo/test_aot_autograd_cache_xpu.py::AOTAutogradCacheBundledTests::test_cache_hot_load_device_xpu_float32_dynamic_True

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Diff stat:

test/dynamo/test_aot_autograd_cache.py | 16 ++++++++++++++--
 1 file changed, 14 insertions(+), 2 deletions(-)