def create_destination() -> Destination:
if is_ipynb():
from labml.internal.logger.destinations.ipynb import IpynbDestination
return IpynbDestination()
else:
from labml.internal.logger.destinations.console import ConsoleDestination
return ConsoleDestination()
def create_destination() -> List[Destination]:
from labml.internal.logger.destinations.console import ConsoleDestination
if is_ipynb():
if is_ipynb_pycharm():
from labml.internal.logger.destinations.ipynb_pycharm import IpynbPyCharmDestination
return [IpynbPyCharmDestination(), ConsoleDestination(False)]
else:
from labml.internal.logger.destinations.ipynb import IpynbDestination
return [IpynbDestination(), ConsoleDestination(False)]
else:
return [ConsoleDestination(True)]
def __init__(self, *,
uuid: str,
name: Optional[str],
python_file: Optional[str],
comment: Optional[str],
writers: Set[str],
ignore_callers: Set[str],
tags: Optional[Set[str]],
is_evaluate: bool):
if is_ipynb():
lab_singleton().set_path(os.getcwd())
if python_file is None:
python_file = 'notebook.ipynb'
if name is None:
name = 'Notebook Experiment'
else:
if python_file is None:
python_file = get_caller_file(ignore_callers)
lab_singleton().set_path(python_file)
if name is None:
file_path = pathlib.PurePath(python_file)
name = file_path.stem
if comment is None:
comment = ''
if global_params_singleton().comment is not None:
comment = global_params_singleton().comment
self.experiment_path = lab_singleton().experiments / name
self.check_repo_dirty = lab_singleton().check_repo_dirty
self.configs_processor = None
if tags is None:
tags = set(name.split('_'))
self.run = Run.create(
uuid=uuid,
experiment_path=self.experiment_path,
python_file=python_file,
trial_time=time.localtime(),
name=name,
comment=comment,
tags=list(tags))
try:
repo = git.Repo(lab_singleton().path)
self.run.repo_remotes = list(repo.remote().urls)
self.run.commit = repo.head.commit.hexsha
self.run.commit_message = repo.head.commit.message.strip()
self.run.is_dirty = repo.is_dirty()
self.run.diff = repo.git.diff()
except git.InvalidGitRepositoryError:
if not is_colab() and not is_kaggle():
labml_notice(["Not a valid git repository: ",
(lab_singleton().path, Text.value)])
self.run.commit = 'unknown'
self.run.commit_message = ''
self.run.is_dirty = True
self.run.diff = ''
self.checkpoint_saver = CheckpointSaver(self.run.checkpoint_path)
self.is_evaluate = is_evaluate
self.web_api = None
self.writers = writers
self.is_started = False
self.distributed_rank = 0
self.distributed_world_size = -1
def __init__(self, *,
name: Optional[str],
python_file: Optional[str],
comment: Optional[str],
writers: Set[str],
ignore_callers: Set[str],
tags: Optional[Set[str]]):
if python_file is None:
python_file = get_caller_file(ignore_callers)
if python_file.startswith('<ipython'):
assert is_ipynb()
if name is None:
raise ValueError("You must specify python_file or experiment name"
" when creating an experiment from a python notebook.")
lab_singleton().set_path(os.getcwd())
python_file = 'notebook.ipynb'
else:
lab_singleton().set_path(python_file)
if name is None:
file_path = pathlib.PurePath(python_file)
name = file_path.stem
if comment is None:
comment = ''
self.name = name
self.experiment_path = lab_singleton().experiments / name
self.check_repo_dirty = lab_singleton().check_repo_dirty
self.configs_processor = None
experiment_path = pathlib.Path(self.experiment_path)
if not experiment_path.exists():
experiment_path.mkdir(parents=True)
if tags is None:
tags = set(name.split('_'))
self.run = Run.create(
experiment_path=self.experiment_path,
python_file=python_file,
trial_time=time.localtime(),
comment=comment,
tags=list(tags))
repo = git.Repo(lab_singleton().path)
self.run.commit = repo.head.commit.hexsha
self.run.commit_message = repo.head.commit.message.strip()
self.run.is_dirty = repo.is_dirty()
self.run.diff = repo.git.diff()
logger_internal().reset_writers()
if 'sqlite' in writers:
from labml.internal.logger.writers import sqlite
artifacts_folder = pathlib.Path(self.run.artifacts_folder)
if not artifacts_folder.exists():
artifacts_folder.mkdir(parents=True)
logger_internal().add_writer(
sqlite.Writer(self.run.sqlite_path, self.run.artifacts_folder))
if 'tensorboard' in writers:
from labml.internal.logger.writers import tensorboard
logger_internal().add_writer(tensorboard.Writer(self.run.tensorboard_log_path))
self.checkpoint_saver = None
def __init__(self, *,
name: Optional[str],
python_file: Optional[str],
comment: Optional[str],
writers: Set[str],
ignore_callers: Set[str],
tags: Optional[Set[str]]):
if python_file is None:
python_file = get_caller_file(ignore_callers)
if python_file.startswith('<ipython'):
assert is_ipynb()
if name is None:
raise ValueError("You must specify python_file or experiment name"
" when creating an experiment from a python notebook.")
lab_singleton().set_path(os.getcwd())
python_file = 'notebook.ipynb'
else:
lab_singleton().set_path(python_file)
if name is None:
file_path = pathlib.PurePath(python_file)
name = file_path.stem
if comment is None:
comment = ''
if global_params_singleton().comment is not None:
comment = global_params_singleton().comment
self.name = name
self.experiment_path = lab_singleton().experiments / name
self.check_repo_dirty = lab_singleton().check_repo_dirty
self.configs_processor = None
experiment_path = pathlib.Path(self.experiment_path)
if not experiment_path.exists():
experiment_path.mkdir(parents=True)
if tags is None:
tags = set(name.split('_'))
self.run = Run.create(
experiment_path=self.experiment_path,
python_file=python_file,
trial_time=time.localtime(),
comment=comment,
tags=list(tags))
try:
repo = git.Repo(lab_singleton().path)
self.run.commit = repo.head.commit.hexsha
self.run.commit_message = repo.head.commit.message.strip()
self.run.is_dirty = repo.is_dirty()
self.run.diff = repo.git.diff()
except git.InvalidGitRepositoryError:
if not is_colab() and not is_kaggle():
warnings.warn(f"Not a valid git repository",
UserWarning, stacklevel=4)
self.run.commit = 'unknown'
self.run.commit_message = ''
self.run.is_dirty = True
self.run.diff = ''
logger_internal().reset_writers()
if 'sqlite' in writers:
from labml.internal.logger.writers import sqlite
logger_internal().add_writer(
sqlite.Writer(self.run.sqlite_path, self.run.artifacts_folder))
if 'tensorboard' in writers:
from labml.internal.logger.writers import tensorboard
logger_internal().add_writer(tensorboard.Writer(self.run.tensorboard_log_path))
if 'web_api' in writers:
from labml.internal.logger.writers import web_api
self.web_api = web_api.Writer()
logger_internal().add_writer(self.web_api)
else:
self.web_api = None
self.checkpoint_saver = CheckpointSaver(self.run.checkpoint_path)