Source code for orion.core.cli.hunt

#!/usr/bin/env python
# -*- coding: utf-8 -*-
Module running the optimization command

Gets an experiment and iterates over it until one of the exit conditions is met


import logging

import orion.core
import as experiment_builder
from orion.client.experiment import ExperimentClient
from orion.core.cli import base as cli
from orion.core.cli import evc as evc_cli
from orion.core.utils import sigterm_as_interrupt
from orion.core.utils.exceptions import (
from orion.core.utils.format_terminal import format_stats
from orion.core.worker.consumer import Consumer
from orion.core.worker.producer import Producer

log = logging.getLogger(__name__)
SHORT_DESCRIPTION = "Conducts hyperparameter optimization"
This command starts hyperparameter optimization process for the user-provided model using the
configured optimization algorithm and search space.

[docs]def add_subparser(parser): """Add the subparser that needs to be used for this command""" hunt_parser = parser.add_parser( "hunt", help=SHORT_DESCRIPTION, description=DESCRIPTION ) orion_group = cli.get_basic_args_group( hunt_parser, group_name="Hunt arguments", group_help="" ) orion.core.config.experiment.add_arguments( orion_group, rename=dict(max_broken="--exp-max-broken", max_trials="--exp-max-trials"), ) orion_group.add_argument( "--max-trials", type=int, metavar="#", help="(DEPRECATED) This argument will be removed in v0.3. Use --exp-max-trials instead", ) orion_group.add_argument( "--init-only", default=False, action="store_true", help="Only create the experiment and register in database, but do not execute any trial.", ) worker_args_group = hunt_parser.add_argument_group( "Worker arguments (optional)", description="Arguments to automatically resolved branching events.", ) orion.core.config.worker.add_arguments( worker_args_group, rename=dict(max_broken="--worker-max-broken", max_trials="--worker-max-trials"), ) evc_cli.get_branching_args_group(hunt_parser) cli.get_user_args_group(hunt_parser) hunt_parser.set_defaults(func=main) hunt_parser.set_defaults(help_empty=True) # Print help if command is empty return hunt_parser
COMPLETION_MESSAGE = """\ Hints ===== Info ---- To get more information on the experiment, run the command orion info --name {} --version {experiment.version} """ NONCOMPLETED_MESSAGE = """\ Status ------ To get the status of the trials, run the command orion status --name {} --version {experiment.version} For a detailed view with status of each trial listed, use the argument `--all` orion status --name {} --version {experiment.version} --all """ # pylint:disable=unused-argument
[docs]def on_error(client, trial, error, worker_broken_trials): """If the script is not executable, don't waste time and raise right away""" if isinstance(error, (InexecutableUserScript, MissingResultFile)): raise error return True
# pylint:disable=too-many-arguments
[docs]def workon( experiment, n_workers=None, pool_size=None, max_trials=None, max_broken=None, max_idle_time=None, reservation_timeout=None, heartbeat=None, user_script_config=None, interrupt_signal_code=None, ignore_code_changes=None, executor=None, executor_configuration=None, idle_timeout=None, ): """Try to find solution to the search problem defined in `experiment`.""" # NOTE: Remove in v0.3.0 if max_idle_time is not None and reservation_timeout is None: reservation_timeout = max_idle_time producer = Producer(experiment) consumer = Consumer( experiment, user_script_config, interrupt_signal_code, ignore_code_changes, ) client = ExperimentClient(experiment, producer, heartbeat=heartbeat) if executor is None: executor = orion.core.config.worker.executor if executor_configuration is None: executor_configuration = orion.core.config.worker.executor_configuration log.debug("Starting workers") with client.tmp_executor(executor, n_workers=n_workers, **executor_configuration): try: client.workon( consumer, n_workers=n_workers, pool_size=pool_size, reservation_timeout=reservation_timeout, max_trials_per_worker=max_trials, max_broken=max_broken, trial_arg="trial", on_error=on_error, idle_timeout=idle_timeout, ) except BrokenExperiment as e: print(e) if client.is_done: print("Search finished successfully") print("\n" + format_stats(client)) print("\n" + COMPLETION_MESSAGE.format(experiment=client)) if not experiment.is_done: print(NONCOMPLETED_MESSAGE.format(experiment=client))
[docs]def main(args): """Build experiment and execute hunt command""" args["root"] = None args["leafs"] = [] # TODO: simplify when parameter parsing is refactored experiment = experiment_builder.build_from_args(args) if args["init_only"]: return config = experiment_builder.get_cmd_config(args) worker_config = orion.core.config.worker.to_dict() if config.get("worker"): worker_config.update(config.get("worker")) # If EVC is not enabled, we force Consumer to ignore code changes. if not config["branching"].get("enable", orion.core.config.evc.enable): ignore_code_changes = True else: ignore_code_changes = config["branching"].get("ignore_code_changes") with sigterm_as_interrupt(): workon(experiment, ignore_code_changes=ignore_code_changes, **worker_config)