def is_compute_target_prepared(experiment, source_directory, run_config):
"""Check compute target is prepared.
Checks whether the compute target, specified in run_config, is already prepared or not for the specified run
configuration.
:param experiment:
:type experiment: azureml.core.experiment.Experiment
:param source_directory:
:type source_directory: str
:param run_config: The run configuration. This can be a run configuration name, as string, or a
azureml.core.runconfig.RunConfiguration object.
:type run_config: str or azureml.core.runconfig.RunConfiguration
:return: True, if the compute target is prepared.
:rtype: bool
"""
from azureml._execution import _commands
from azureml.core.runconfig import RunConfiguration
from azureml._project.project import Project
run_config_object = RunConfiguration._get_run_config_object(
path=source_directory, run_config=run_config)
project_object = Project(experiment=experiment, directory=source_directory)
return _commands.prepare_compute_target(project_object,
run_config_object,
check=True)
def prepare_compute_target(experiment, source_directory, run_config):
"""Prepare the compute target.
Installs all the required packages for an experiment run based on run_config and custom_run_config.
:param experiment:
:type experiment: azureml.core.experiment.Experiment
:param source_directory:
:type source_directory: str
:param run_config: The run configuration. This can be a run configuration name, as string, or a
azureml.core.runconfig.RunConfiguration object.
:type run_config: str or azureml.core.runconfig.RunConfiguration
:return: A run object
:rtype: azureml.core.script_run.ScriptRun
"""
from azureml._execution import _commands
from azureml.core.runconfig import RunConfiguration
from azureml._project.project import Project
run_config_object = RunConfiguration._get_run_config_object(
path=source_directory, run_config=run_config)
project_object = Project(experiment=experiment, directory=source_directory)
return _commands.prepare_compute_target(project_object, run_config_object)
def get_run_config_from_script_run(script_run_config):
"""Get the RunConfiguration object with parameters copied from the ScriptRunConfig.
:param script_run_config: The ScriptRunConfig from which to get the run configuration.
:type script_run_config: azureml.core.script_run_config.ScriptRunConfig
:return: The run configuration.
:rtype: azureml.core.runconfig.RunConfiguration
"""
# Gets a deep copy of run_config
run_config = RunConfiguration._get_run_config_object(
path=script_run_config.source_directory,
run_config=script_run_config.run_config)
if script_run_config.arguments:
# Gets a deep copy of arguments as arguments contains not only simple type (e.g. DatasetConsumptionConfig)
run_config.arguments = deepcopy(script_run_config.arguments)
if script_run_config.script:
run_config.script = script_run_config.script
if script_run_config.command:
run_config.command = script_run_config.command
return run_config