🐛 Describe the bug
skipIfXpu is used on classes, for example in test_autoheuristic.py:
@skipIfXpu(msg="AutoHeuristic doesn't currently work on the XPU stack")
class AutoHeuristicTest(TestCase):
If you try to run the tests:
(pytorch) $ python test_autoheuristic.py
----------------------------------------------------------------------
Ran 0 tests in 0.000s
OK
No tests found:
(pytorch) $ python test_autoheuristic.py --discover-tests
<unittest.suite.TestSuite tests=[]>
Running a class member function with skipIfXpu seems to work, however:
(pytorch) $ python test_aot_inductor.py -k test_fp8
../home/gabeferns/pt-envs/pytorch/torch/backends/mkldnn/__init__.py:78: UserWarning: TF32 acceleration on top of oneDNN is available for Intel GPUs. The current Torch version does not have Intel GPU Support. (Triggered internally at /home/gabeferns/pt-envs/pytorch/aten/src/ATen/Context.cpp:148.)
torch._C._set_onednn_allow_tf32(_allow_tf32)
W0407 12:19:41.756000 1780910 torch/_export/__init__.py:67] +============================+
W0407 12:19:41.756000 1780910 torch/_export/__init__.py:68] | !!! WARNING !!! |
W0407 12:19:41.756000 1780910 torch/_export/__init__.py:69] +============================+
W0407 12:19:41.757000 1780910 torch/_export/__init__.py:70] torch._export.aot_compile()/torch._export.aot_load() is being deprecated, please switch to directly calling torch._inductor.aoti_compile_and_package(torch.export.export())/torch._inductor.aoti_load_package() instead.
stats [('calls_captured', 2), ('unique_graphs', 1)]
inductor [('async_compile_cache_miss', 1), ('extern_calls', 1), ('async_compile_cache_hit', 1)]
graph_break []
aten_mm_info [('aten._scaled_mm.default_s0_32_16', 1)]
./home/gabeferns/pt-envs/pytorch/torch/backends/mkldnn/__init__.py:78: UserWarning: TF32 acceleration on top of oneDNN is available for Intel GPUs. The current Torch version does not have Intel GPU Support. (Triggered internally at /home/gabeferns/pt-envs/pytorch/aten/src/ATen/Context.cpp:148.)
torch._C._set_onednn_allow_tf32(_allow_tf32)
stats [('calls_captured', 2), ('unique_graphs', 1)]
inductor [('extern_calls', 1)]
graph_break []
aten_mm_info [('aten._scaled_mm.default_s0_32_16', 1)]
.
----------------------------------------------------------------------
Ran 4 tests in 12.083s
OK
Versions
h100 devserver
cc @ezyang @gchanan @zou3519 @kadeng @msaroufim @seemethere @malfet @pytorch/pytorch-dev-infra @mruberry @ZainRizvi @gujinghui @EikanWang @fengyuan14 @guangyey
🐛 Describe the bug
skipIfXpuis used on classes, for example intest_autoheuristic.py:If you try to run the tests:
No tests found:
Running a class member function with skipIfXpu seems to work, however:
Versions
h100 devserver
cc @ezyang @gchanan @zou3519 @kadeng @msaroufim @seemethere @malfet @pytorch/pytorch-dev-infra @mruberry @ZainRizvi @gujinghui @EikanWang @fengyuan14 @guangyey