clearml/clearml/cli/task/__main__.py
2021-07-31 23:53:22 +03:00

146 lines
7.4 KiB
Python

from argparse import ArgumentParser
from pathlib2 import Path
from clearml import Task
from clearml.backend_interface.task.populate import CreateAndPopulate
def setup_parser(parser):
parser.add_argument('--version', action='store_true', default=None,
help='Display the clearml-task utility version')
parser.add_argument('--project', type=str, default=None,
help='Required: set the project name for the task. '
'If --base-task-id is used, this arguments is optional.')
parser.add_argument('--name', type=str, default=None, required=True,
help='Required: select a name for the remote task')
parser.add_argument('--repo', type=str, default=None,
help='remote URL for the repository to use. '
'Example: --repo https://github.com/allegroai/clearml.git')
parser.add_argument('--branch', type=str, default=None,
help='Select specific repository branch/tag (implies the latest commit from the branch)')
parser.add_argument('--commit', type=str, default=None,
help='Select specific commit id to use (default: latest commit, '
'or when used with local repository matching the local commit id)')
parser.add_argument('--folder', type=str, default=None,
help='Remotely execute the code in the local folder. '
'Notice! It assumes a git repository already exists. '
'Current state of the repo (commit id and uncommitted changes) is logged '
'and will be replicated on the remote machine')
parser.add_argument('--script', type=str, default=None,
help='Specify the entry point script for the remote execution. '
'When used in tandem with --repo the script should be a relative path inside '
'the repository, for example: --script source/train.py .'
'When used with --folder it supports a direct path to a file inside the local '
'repository itself, for example: --script ~/project/source/train.py')
parser.add_argument('--cwd', type=str, default=None,
help='Working directory to launch the script from. Default: repository root folder. '
'Relative to repo root or local folder')
parser.add_argument('--args', default=None, nargs='*',
help='Arguments to pass to the remote execution, list of <argument>=<value> strings.'
'Currently only argparse arguments are supported. '
'Example: --args lr=0.003 batch_size=64')
parser.add_argument('--queue', type=str, default=None,
help='Select the queue to launch the task. '
'If not provided a Task will be created but it will not be launched.')
parser.add_argument('--requirements', type=str, default=None,
help='Specify requirements.txt file to install when setting the session. '
'If not provided, the requirements.txt from the repository will be used.')
parser.add_argument('--packages', default=None, nargs='*',
help='Manually specify a list of required packages. '
'Example: --packages "tqdm>=2.1" "scikit-learn"')
parser.add_argument('--docker', type=str, default=None,
help='Select the docker image to use in the remote session')
parser.add_argument('--docker_args', type=str, default=None,
help='Add docker arguments, pass a single string')
parser.add_argument('--docker_bash_setup_script', type=str, default=None,
help="Add bash script to be executed inside the docker before setting up "
"the Task's environment")
parser.add_argument('--output-uri', type=str, default=None, required=False,
help='Optional: set the Task `output_uri` (automatically upload model destination)')
parser.add_argument('--task-type', type=str, default=None,
help='Set the Task type, optional values: '
'training, testing, inference, data_processing, application, monitor, '
'controller, optimizer, service, qc, custom')
parser.add_argument('--skip-task-init', action='store_true', default=None,
help='If set, Task.init() call is not added to the entry point, and is assumed '
'to be called in within the script. Default: add Task.init() call entry point script')
parser.add_argument('--base-task-id', type=str, default=None,
help='Use a pre-existing task in the system, instead of a local repo/script. '
'Essentially clones an existing task and overrides arguments/requirements.')
def cli():
title = 'ClearML launch - launch any codebase on remote machine running clearml-agent'
print(title)
parser = ArgumentParser(description=title)
setup_parser(parser)
# get the args
args = parser.parse_args()
if args.version:
from ...version import __version__
print('Version {}'.format(__version__))
exit(0)
if args.docker_bash_setup_script and Path(args.docker_bash_setup_script).is_file():
with open(args.docker_bash_setup_script, "r") as bash_setup_script_file:
bash_setup_script = bash_setup_script_file.readlines()
# remove Bash Shebang
if bash_setup_script and bash_setup_script[0].strip().startswith("#!"):
bash_setup_script = bash_setup_script[1:]
else:
bash_setup_script = args.docker_bash_setup_script or None
create_populate = CreateAndPopulate(
project_name=args.project,
task_name=args.name,
task_type=args.task_type,
repo=args.repo or args.folder,
branch=args.branch,
commit=args.commit,
script=args.script,
working_directory=args.cwd,
packages=args.packages,
requirements_file=args.requirements,
docker=args.docker,
docker_args=args.docker_args,
docker_bash_setup_script=bash_setup_script,
output_uri=args.output_uri,
base_task_id=args.base_task_id,
add_task_init_call=not args.skip_task_init,
raise_on_missing_entries=True,
verbose=True,
)
# verify args
create_populate.update_task_args(args.args)
print('Creating new task')
create_populate.create_task()
# update Task args
create_populate.update_task_args(args.args)
print('New task created id={}'.format(create_populate.get_id()))
if not args.queue:
print('Warning: No queue was provided, leaving task in draft-mode.')
exit(0)
Task.enqueue(create_populate.task, queue_name=args.queue)
print('Task id={} sent for execution on queue {}'.format(create_populate.get_id(), args.queue))
print('Execution log at: {}'.format(create_populate.task.get_output_log_web_page()))
def main():
try:
cli()
except KeyboardInterrupt:
print('\nUser aborted')
except Exception as ex:
print('\nError: {}'.format(ex))
exit(1)
if __name__ == '__main__':
main()