mirror of
https://github.com/vale981/ray
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75027eb479
Making sure that tuning multiple trials in parallel is not significantly slower than training each individual trials. Some overhead is expected. Signed-off-by: Xiaowei Jiang <xwjiang2010@gmail.com> Signed-off-by: Richard Liaw <rliaw@berkeley.edu> Signed-off-by: Kai Fricke <kai@anyscale.com> Co-authored-by: Jimmy Yao <jiahaoyao.math@gmail.com> Co-authored-by: Richard Liaw <rliaw@berkeley.edu> Co-authored-by: Kai Fricke <kai@anyscale.com> |
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| .. | ||
| _tensorflow_prepare.py | ||
| _torch_prepare.py | ||
| benchmark_util.py | ||
| data_benchmark.py | ||
| gpu_batch_prediction.py | ||
| pytorch_training_e2e.py | ||
| tensorflow_benchmark.py | ||
| torch_benchmark.py | ||
| tune_torch_benchmark.py | ||
| xgboost_benchmark.py | ||