[gpu] /root/repo/LightGBM/compute/include/boost/compute/utility/wait_list.hpp:166: void boost::compute::wait_list::wait() const: Assertion `clWaitForEvents(size(), get_event_ptr()) == 0' failed. Aborted (core dumped) #2648
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ping @huanzhang12 |
guolinke
changed the title
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@pseudotensor I cannot reproduce the issue in the following environment with the following versions. Can you please try the latest version of LightGBM? Operating System: Windows Server 2016 Datacenter 1607 (add verbosity and @@ -4,6 +4,7 @@ import numpy as np
import lightgbm as lgb
print(lgb.__version__)
model_orig, X, y = pickle.load(open("lgbm_waitforfailure.pkl", "rb"))
-p = {'boosting_type': 'gbdt', 'class_weight': None, 'colsample_bytree': 0.8, 'importance_type': 'gain', 'learning_rate': 0.25, 'max_depth': 6, 'min_child_samples': 1, 'min_child_weight': 1, 'min_split_gain': 0.0, 'n_estimators': 1800, 'n_jobs': 4, 'num_leaves': 64, 'objective': 'multiclass', 'random_state': None, 'reg_alpha': 0.0, 'reg_lambda': 1.0, 'silent': True, 'subsample': 0.7, 'subsample_for_bin': 200000, 'subsample_freq': 1, 'num_class': 4, 'max_bin': 255, 'scale_pos_weight': 1, 'max_delta_step': 0, 'min_data_in_bin': 1, 'seed': 12345, 'device_type': 'gpu', 'gpu_device_id': 0, 'gpu_platform_id': 0, 'gpu_use_dp': True, 'feature_fraction_seed': 12346, 'bagging_seed': 12347, 'verbose': -1}
+p = {'boosting_type': 'gbdt', 'class_weight': None, 'colsample_bytree': 0.8, 'importance_type': 'gain', 'learning_rate': 0.25, 'max_depth': 6, 'min_child_samples': 1, 'min_child_weight': 1, 'min_split_gain': 0.0, 'n_estimators': 1800, 'n_jobs': 4, 'num_leaves': 64, 'objective': 'multiclass', 'random_state': None, 'reg_alpha': 0.0, 'reg_lambda': 1.0, 'silent': False, 'subsample': 0.7, 'subsample_for_bin': 200000, 'subsample_freq': 1, 'num_class': 4, 'max_bin': 255, 'scale_pos_weight': 1, 'max_delta_step': 0, 'min_data_in_bin': 1, 'seed': 12345, 'device_type': 'gpu', 'gpu_device_id': 0, 'gpu_platform_id': 0, 'gpu_use_dp': True, 'feature_fraction_seed': 12346, 'bagging_seed': 12347, 'verbose': 5}
model = lgb.LGBMClassifier(**p)
model.fit(X, y)
+print(model.predict(X)) |
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@StrikerRUS It's reproducible on edb9149 with boost updated to 1.72 on Linux You can download h2o4gpu the version of lgbm from https://h2o-release.s3.amazonaws.com/h2o4gpu/snapshots/ai/h2o/h2o4gpu/0.3-cuda10/h2o4gpu-0.3.2%2Bpr.818.e8ed15e-cp36-cp36m-linux_x86_64.whl use to import lgbm |
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@sh1ng Is hardware the same as in #2648 (comment)? |
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BTW, have you tried to play around with |
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Operating System: Ubuntu 18.04.3 LTS CPU/GPU model: Intel(R) Core(TM) i7-8550U CPU @ 1.80GHz/GeForce MX150 C++/Python/R version: Python 3.6.8 the whl was built on centos-7 The same if I install lightgbm from pypi with opencl support tested on cuda-10.0 and cuda-10.2 |
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If I'm not mistaken there's only one OpenCL device |
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removing |
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@sh1ng Thank you very much for the cc @huanzhang12 |
Merged
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Recompiling with defined It means |
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Please do NOT remove the gpu_use_dp flag. We are using it in the CUDA version. |
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ping @huanzhang12 for the
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Merged
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We got the same error using: lightgbm: 3.3.3.99 |
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Operating System: Ubuntu 16.04 LTS
CPU/GPU model: Xeon / 1080ti
C++/Python/R version: 3.6.6
LightGBM version or commit hash: 2.2.4
lgbm_waitforfailure.zip
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