# set the run directory in the config so it actually gets persisted run.config.set_run_dir(run.dir) if sagemaker_config: run.config.update(sagemaker_config) allow_val_change = True if config: run.config.update(config, allow_val_change=allow_val_change) # Access history to ensure resumed is set when resuming run.history # Load the summary to support resuming run.summary.load() atexit.register(run.close_files) return run tensorflow = util.LazyLoader('tensorflow', globals(), 'wandb.tensorflow') tensorboard = util.LazyLoader('tensorboard', globals(), 'wandb.tensorboard') jupyter = util.LazyLoader('jupyter', globals(), 'wandb.jupyter') keras = util.LazyLoader('keras', globals(), 'wandb.keras') fastai = util.LazyLoader('fastai', globals(), 'wandb.fastai') docker = util.LazyLoader('docker', globals(), 'wandb.docker') xgboost = util.LazyLoader('xgboost', globals(), 'wandb.xgboost') __all__ = ['init', 'config', 'termlog', 'termwarn', 'termerror', 'tensorflow', 'run', 'types', 'callbacks', 'join']
# set the run directory in the config so it actually gets persisted run.config.set_run_dir(run.dir) if sagemaker_config: run.config.update(sagemaker_config) allow_val_change = True if config: run.config.update(config, allow_val_change=allow_val_change) # Access history to ensure resumed is set when resuming run.history # Load the summary to support resuming run.summary.load() atexit.register(run.close_files) return run tf = util.LazyLoader('tf', globals(), 'wandb.tf') tb = util.LazyLoader('tb', globals(), 'wandb.tb') jupyter = util.LazyLoader('jupyter', globals(), 'wandb.jupyter') keras = util.LazyLoader('keras', globals(), 'wandb.keras') fastai = util.LazyLoader('fastai', globals(), 'wandb.fastai') docker = util.LazyLoader('docker', globals(), 'wandb.docker') __all__ = [ 'init', 'config', 'termlog', 'termwarn', 'termerror', 'tf', 'run', 'types', 'callbacks', 'join' ]
if config or telemetry_updated: run.config._update(config, exclude_keys=config_exclude_keys, include_keys=config_include_keys, allow_val_change=allow_val_change, as_defaults=not allow_val_change) # Access history to ensure resumed is set when resuming run.history # Load the summary to support resuming run.summary.load() return run tensorflow = util.LazyLoader('tensorflow', globals(), 'wandb.tensorflow') tensorboard = util.LazyLoader('tensorboard', globals(), 'wandb.tensorboard') jupyter = util.LazyLoader('jupyter', globals(), 'wandb.jupyter') keras = util.LazyLoader('keras', globals(), 'wandb.keras') fastai = util.LazyLoader('fastai', globals(), 'wandb.fastai') docker = util.LazyLoader('docker', globals(), 'wandb.docker') xgboost = util.LazyLoader('xgboost', globals(), 'wandb.xgboost') lightgbm = util.LazyLoader('lightgbm', globals(), 'wandb.lightgbm') gym = util.LazyLoader('gym', globals(), 'wandb.gym') ray = util.LazyLoader('ray', globals(), 'wandb.ray') sklearn = util.LazyLoader('sklearn', globals(), 'wandb.sklearn') __all__ = [ 'init', 'config', 'summary', 'join', 'login', 'log', 'save', 'restore', 'tensorflow', 'watch', 'types', 'tensorboard', 'jupyter', 'keras', 'fastai', 'docker', 'xgboost', 'gym', 'ray', 'run', 'join', 'Image',
# set the run directory in the config so it actually gets persisted run.config.set_run_dir(run.dir) if sagemaker_config: run.config.update(sagemaker_config) allow_val_change = True if config: run.config.update(config, allow_val_change=allow_val_change) # Access history to ensure resumed is set when resuming run.history # Load the summary to support resuming run.summary.load() atexit.register(run.close_files) return run tensorflow = util.LazyLoader('tensorflow', globals(), 'wandb.tensorflow') tensorboard = util.LazyLoader('tensorboard', globals(), 'wandb.tensorboard') keras = util.LazyLoader('keras', globals(), 'wandb.keras') fastai = util.LazyLoader('fastai', globals(), 'wandb.fastai') docker = util.LazyLoader('docker', globals(), 'wandb.docker') __all__ = [ 'init', 'config', 'termlog', 'termwarn', 'termerror', 'tensorflow', 'run', 'types', 'callbacks', 'join' ]