xpu enabling for 4 cases #12345
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xpu enabling for 4 cases #12345
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Signed-off-by: Yao, Matrix <matrix.yao@intel.com>
yao-matrix
commented
Sep 18, 2025
| @@ -678,7 +683,7 @@ def matches_pattern(component_id, pattern, exact_match=False): | |||
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| return get_return_dict(matches, return_dict_with_names) | |||
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| def enable_auto_cpu_offload(self, device: Union[str, int, torch.device] = "cuda", memory_reserve_margin="3GB"): | |||
| def enable_auto_cpu_offload(self, device: Union[str, int, torch.device] = None, memory_reserve_margin="3GB"): | |||
| """ | |||
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as in #11288, i suggest make None as the default value of device, so in that case, if users run on other devices like XPU w/o specify the device argument, the code will auto detect the device and run, rather than crash. Thx
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to make below 4 cases pass on XPU
pytest -rA tests/modular_pipelines/stable_diffusion_xl/test_modular_pipeline_stable_diffusion_xl.py::SDXLImg2ImgModularPipelineFastTests::test_components_auto_cpu_offload_inference_consistent
pytest -rA tests/modular_pipelines/stable_diffusion_xl/test_modular_pipeline_stable_diffusion_xl.py::SDXLInpaintingModularPipelineFastTests::test_components_auto_cpu_offload_inference_consistent
pytest -rA tests/modular_pipelines/stable_diffusion_xl/test_modular_pipeline_stable_diffusion_xl.py::SDXLModularPipelineFastTests::test_components_auto_cpu_offload_inference_consistent
pytest -rA tests/lora/test_lora_layers_hunyuanvideo.py::HunyuanVideoLoRAIntegrationTests::test_original_format_cseti
@DN6 @a-r-r-o-w , pls help review, thx very much