[tests] use torch_device instead of auto for model testing
#29531
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Hi @faaany - thanks for opening this PR! Using device_map="auto" is necessary for this test - it's checking that beam search works when the model is split across devices. If it doesn't work with XPU, then you can add a skip with unittest e.g. if "xpu" in torch_device:
return unittest.skip("device_map='auto' does not work with XPU devices") |
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Hi @amyeroberts , thanks so much for reviewing this PR! I updated my patch and used |
amyeroberts
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Mar 8, 2024
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
done, thx! |
dvrogozh
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`return unittest.skip()` used in the `test_model_parallel_beam_search` in skip condition for xpu did not actually mark test to be skipped running under pytest: * 148 passed, 1 skipped Other tests use `self.skipTest()`. Reusing this approach and moving the condition outside the loop (since it does not depend on it) allows to skip for xpu correctly: * 148 skipped Secondly, `device_map="auto"` is now implemented for XPU for IPEX>=2.5 and torch>=2.6, so we can now enable these tests for XPU for new IPEX/torch versions. Fixes: 1ea3ad1 ("[tests] use `torch_device` instead of `auto` for model testing (huggingface#29531)") Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>
ydshieh
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Jan 17, 2025
`return unittest.skip()` used in the `test_model_parallel_beam_search` in skip condition for xpu did not actually mark test to be skipped running under pytest: * 148 passed, 1 skipped Other tests use `self.skipTest()`. Reusing this approach and moving the condition outside the loop (since it does not depend on it) allows to skip for xpu correctly: * 148 skipped Secondly, `device_map="auto"` is now implemented for XPU for IPEX>=2.5 and torch>=2.6, so we can now enable these tests for XPU for new IPEX/torch versions. Fixes: 1ea3ad1 ("[tests] use `torch_device` instead of `auto` for model testing (#29531)") Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>
bursteratom
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Jan 31, 2025
…ngface#35742) `return unittest.skip()` used in the `test_model_parallel_beam_search` in skip condition for xpu did not actually mark test to be skipped running under pytest: * 148 passed, 1 skipped Other tests use `self.skipTest()`. Reusing this approach and moving the condition outside the loop (since it does not depend on it) allows to skip for xpu correctly: * 148 skipped Secondly, `device_map="auto"` is now implemented for XPU for IPEX>=2.5 and torch>=2.6, so we can now enable these tests for XPU for new IPEX/torch versions. Fixes: 1ea3ad1 ("[tests] use `torch_device` instead of `auto` for model testing (huggingface#29531)") Signed-off-by: Dmitry Rogozhkin <dmitry.v.rogozhkin@intel.com>
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What does this PR do?
When running test cases under the models folder on XPU, I found that many model tests fail at the same test
test_model_parallel_beam_search, e.g.FAILED tests/models/bigbird_pegasus/test_modeling_bigbird_pegasus.py::BigBirdPegasusModelTest::test_model_parallel_beam_search - RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and xpu:0! (when cheThis is because
device_map="auto"is used. As elaborated in this PR, the device_map="auto" mechanism is still not mature on XPU, causing model to be loaded on CPU, rather than on XPU.If there is no particular reason for using
auto, I would suggest usingtorch_deviceinsteadauto, becausetorch_deviceis more specific thanautoand we don't have the need to useauto, e.g. large model inference, in our tests anyway. WDYT? @ArthurZucker