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Support ignoring default_output_uri on remote runs when output_uri=False was specified and the backend task data has no output_uri specified

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This commit is contained in:
allegroai 2023-11-07 17:03:11 +02:00
parent 1e5992cd5a
commit 9d5c39aac3
1 changed files with 12 additions and 6 deletions
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18
clearml/task.py
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@ -331,7 +331,9 @@ class Task(_Task):
:param str output_uri: The default location for output models and other artifacts. If True, the default
files_server will be used for model storage. In the default location, ClearML creates a subfolder for the
output. The subfolder structure is the following: `<output destination name> / <project name> / <task name>.<Task ID>`.
output. If set to False, local runs will not upload output models and artifacts,
and remote runs will not use any default values provided using ``default_output_uri``.
The subfolder structure is the following: `<output destination name> / <project name> / <task name>.<Task ID>`.
Note that for cloud storage, you must install the **ClearML** package for your cloud storage type,
and then configure your storage credentials. For detailed information, see "Storage" in the ClearML
Documentation.
@ -606,10 +608,14 @@ class Task(_Task):
task_id=get_remote_task_id(),
log_to_backend=False,
)
if task.get_project_object().default_output_destination and not task.output_uri:
task.output_uri = task.get_project_object().default_output_destination
if cls.__default_output_uri and not task.output_uri:
task.output_uri = cls.__default_output_uri
if output_uri is False and not task.output_uri:
# Setting output_uri=False argument will disable using any default when running remotely
pass
else:
if task.get_project_object().default_output_destination and not task.output_uri:
task.output_uri = task.get_project_object().default_output_destination
if cls.__default_output_uri and not task.output_uri:
task.output_uri = cls.__default_output_uri
# store new task ID
cls.__update_master_pid_task(task=task)
# make sure we are started
@ -1389,7 +1395,7 @@ class Task(_Task):
:return: The number of tasks enqueued in the given queue
"""
if not Session.check_min_api_server_version("2.20"):
if not Session.check_min_api_server_version("2.20", raise_error=True):
raise ValueError("You version of clearml-server does not support the 'queues.get_num_entries' endpoint")
mutually_exclusive(queue_name=queue_name, queue_id=queue_id)
session = cls._get_default_session()