Is it because (rapids-22.06) python -c "from xgboost import XGBClassifier classifier = XGBClassifier(tree_method='gpu_hist') classifier.fit(], )" (test_xgboost) F:\github\xgboost\python-package>wmic path win32_VideoController get name : parallel_for failed: cudaErrorNoKernelImageForDevice: no kernel image is available for execution on the device Raise XGBoostError(py_str(_LIB.XGBGetLastError())) _check_call(_LIB.XGBoosterUpdateOneIter(self.handle,įile "F:\github\xgboost\python-package\xgboost\core.py", line 203, in _check_call > from xgboost import XGBClassifier classifier = XGBClassifier(tree_method='gpu_hist') classifier.fit(], )įile "F:\github\xgboost\python-package\xgboost\core.py", line 532, in inner_fįile "F:\github\xgboost\python-package\xgboost\sklearn.py", line 1400, in fitįile "F:\github\xgboost\python-package\xgboost\training.py", line 181, in trainįile "F:\github\xgboost\python-package\xgboost\core.py", line 1733, in update Type "help", "copyright", "credits" or "license" for more information.
Now, I facing the following problem (test_xgboost) F:\github\xgboost\python-package>python > = Build: 5 succeeded, 0 failed, 0 up-to-date, 0 skipped =Ĭmake -build. I did the following to build from source cd github\xgboost\buildĬmake.
0 kommentar(er)
