# 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'
]
