Official code for "Block Transformer: Global-to-Local Language Modeling for Fast Inference" - block-transformer/generate_wandb_run_id.py at bee36ac7ab7ba224fbf2324368680aeae13483df · itsnamgyu/block-transformer
When wandb used in training, there are some files to be uploaded after training. It will be much better if the upload thread does not BLOCK the training process, for some reason it keeps blocking for hours which is unacceptable in hyperparameter search with sweep, I mean people using sweep ...
Method 调用 tqdm 库： from tqdm import tqdm Example try: from tqdm import tqdm except: ...
Require the run parameter in InterfaceBase.publish_summary allowing the deletion of InterfaceBase._run and _hack_set_run(). InterfaceSock, which overrides _hack_set_run() to get the run's ID, is up...
Description I'm currently using AWS ec2. Since I want to resume the log of training a deep learning model (which means that I train a single deep learning model, stop in the middle and then resume training), I specified a id to wandb.ini...
def train(config=None, run_num=None, project=None): with wandb.init(project=project, config=config) as run: config = wandb.config # Working training code... sweep_id = wandb.sweep(sweep_config, project="ABC") wandb.agent(sweep_id, train, count=2) for run_num in range(2): train(...
Official code for "Block Transformer: Global-to-Local Language Modeling for Fast Inference" - block-transformer/generate_wandb_run_id.py at main · itsnamgyu/block-transformer