yang-zhang

• pin_memory=True
• sigmoid used in cross_entropy_loss
• set_seed before fold and train

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import logging
log = logging.getLogger(__name__)
log.setLevel(level=logging.DEBUG)

fmtr = logging.Formatter("[%(asctime)s] [%(levelname)-8.8s] %(message)s", "%Y-%m-%d %H:%M:%S")

fhdlr = logging.FileHandler(f"log.log", mode='w')
fhdlr.setFormatter(fmtr)
log.addHandler(fhdlr)

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def set_seed(seed):
    random.seed(seed)
    os.environ['PYTHONHASHSEED'] = str(seed)
    np.random.seed(seed)
    torch.manual_seed(seed)
    torch.cuda.manual_seed(seed)
    torch.backends.cudnn.deterministic = True

yang-zhang

Keyboard Shortcut               Action
Windows key                     Open or close Start Menu.
Windows key + A                 Open Action center.
Windows key + C                 Open Cortana in listening mode.
Windows key + D                 Display and hide the desktop.
Windows key + E                 Open File Explorer.
Windows key + G                 Open Game bar when a game is open.
Windows key + H                 Open the Share charm.
Windows key + I                 Open Settings.
Windows key + K                 Open the Connect quick action.

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yang-zhang

(fa1043)$ conda install ipykernel
(fa1043)$ python -m ipykernel install --user --name fa1043

yang-zhang

kjupyter() {
    docker run  --runtime=nvidia --ipc=host -v $PWD:/tmp/working -v /data:/tmp/working/data -w=/tmp/working -p 8888:8888 --rm -it kaggle/python-gpu-build bash -c "pip install tornado==4.5.3; export LD_LIBRARY_PATH=/usr/local/cuda/lib64; pip install jupyter_contrib_nbextensions; pip install jupyter_nbextensions_configurator; jupyter contrib nbextension install --user; jupyter nbextension enable toc2/main --user; jupyter notebook --notebook-dir=/tmp/working --ip='*' --port=8888 --no-browser --allow-root"
}

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