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launch-library
Classes
class LaunchAgent
: Launch agent class which polls run given run queues and launches runs for wandb launch.
Functions
launch(...)
: Launch a W&B launch experiment.
launch_add(...)
: Enqueue a W&B launch experiment by uri
, job
, or docker_image
.
1 - launch
Launch a W&B launch experiment.
launch(
api: Api,
job: Optional[str] = None,
entry_point: Optional[List[str]] = None,
version: Optional[str] = None,
name: Optional[str] = None,
resource: Optional[str] = None,
resource_args: Optional[Dict[str, Any]] = None,
project: Optional[str] = None,
entity: Optional[str] = None,
docker_image: Optional[str] = None,
config: Optional[Dict[str, Any]] = None,
synchronous: Optional[bool] = (True),
run_id: Optional[str] = None,
repository: Optional[str] = None
) -> AbstractRun
Arguments |
|
job |
string reference to a wandb.Job , such as wandb/test/my-job:latest . |
api |
An instance of a wandb Api from wandb.apis.internal . |
entry_point |
Entry point to run within the project. Defaults to using the entry point used in the original run for wandb URIs, or main.py for git repository URIs. |
version |
For Git-based projects, either a commit hash or a branch name. |
name |
Name run under which to launch the run. |
resource |
Execution backend for the run. |
resource_args |
Resource related arguments for launching runs onto a remote backend. Will be stored on the constructed launch config under resource_args . |
project |
Target project to send launched run to. |
entity |
Target entity to send launched run to. |
config |
A dictionary containing the configuration for the run. May also contain resource specific arguments under the key resource_args" . |
synchronous |
Whether to block while waiting for a run to complete. Defaults to True. If synchronous is False and backend is local-container , this method will return, but the current process will block when exiting until the local run completes. If the current process is interrupted, any asynchronous runs launched via this method will be terminated. If synchronous is True and the run fails, the current process will error out as well. |
run_id |
ID for the run (To ultimately replace the :name: field). |
repository |
string name of repository path for remote registry. |
Example:
from wandb.sdk.launch import launch
job = "wandb/jobs/Hello World:latest"
params = {"epochs": 5}
# Run W&B project and create a reproducible docker environment
# on a local host
api = wandb.apis.internal.Api()
launch(api, job, parameters=params)
Returns |
|
an instance ofwandb.launch.SubmittedRun exposing information about the launched run, wuch as the run ID. |
|
Raises |
|
wandb.exceptions.ExecutionError If a run launched in blocking mode is unsuccessful. |
|
2 - launch_add
Enqueue a W&B launch experiment with a source uri
, job
or docker_image
.
launch_add(
uri: Optional[str] = None,
job: Optional[str] = None,
config: Optional[Dict[str, Any]] = None,
template_variables: Optional[Dict[str, Union[float, int, str]]] = None,
project: Optional[str] = None,
entity: Optional[str] = None,
queue_name: Optional[str] = None,
resource: Optional[str] = None,
entry_point: Optional[List[str]] = None,
name: Optional[str] = None,
version: Optional[str] = None,
docker_image: Optional[str] = None,
project_queue: Optional[str] = None,
resource_args: Optional[Dict[str, Any]] = None,
run_id: Optional[str] = None,
build: Optional[bool] = (False),
repository: Optional[str] = None,
sweep_id: Optional[str] = None,
author: Optional[str] = None,
priority: Optional[int] = None
) -> "public.QueuedRun"
Arguments |
|
uri |
URI of experiment to run. A wandb run uri or a Git repository URI. |
job |
string reference to a wandb.Job eg: wandb/test/my-job:latest |
config |
A dictionary containing the configuration for the run. May also contain resource specific arguments under the key “resource_args” |
template_variables |
A dictionary containing values of template variables for a run queue. Expected format of {"VAR_NAME": VAR_VALUE} |
project |
Target project to send launched run to |
entity |
Target entity to send launched run to |
queue |
the name of the queue to enqueue the run to |
priority |
the priority level of the job, where 1 is the highest priority |
resource |
Execution backend for the run: W&B provides built-in support for “local-container” backend |
entry_point |
Entry point to run within the project. Defaults to using the entry point used in the original run for wandb URIs, or main.py for git repository URIs. |
name |
Name run under which to launch the run. |
version |
For Git-based projects, either a commit hash or a branch name. |
docker_image |
The name of the docker image to use for the run. |
resource_args |
Resource related arguments for launching runs onto a remote backend. Will be stored on the construc ted launch config under resource_args . |
run_id |
optional string indicating the id of the launched run |
build |
optional flag defaulting to false, requires queue to be set if build, an image is created, creates a job ar tifact, pushes a reference to that job artifact to queue |
repository |
optional string to control the name of the remote repository, used when pushing images to a registry |
project_queue |
optional string to control the name of the project for the queue. Primarily used for back compatibility with project scoped queues |
Example:
from wandb.sdk.launch import launch_add
project_uri = "https://github.com/wandb/examples"
params = {"alpha": 0.5, "l1_ratio": 0.01}
# Run W&B project and create a reproducible docker environment
# on a local host
api = wandb.apis.internal.Api()
launch_add(uri=project_uri, parameters=params)
Returns |
|
an instance of wandb.api.public.QueuedRun which gives information about the queued run, or if wait_until_started or wait_until_finished are called, gives access to the underlying Run information. |
|
Raises |
|
wandb.exceptions.LaunchError if unsuccessful |
|
3 - launch-library
Classes
class LaunchAgent
: Launch agent class which polls run given run queues and launches runs for wandb launch.
Functions
launch(...)
: Launch a W&B launch experiment.
launch_add(...)
: Enqueue a W&B launch experiment. With either a source uri
, job
, or docker_image
.
4 - LaunchAgent
Launch agent class which polls run given run queues and launches runs for wandb launch.
LaunchAgent(
api: Api,
config: Dict[str, Any]
)
Arguments |
|
api |
Api object to use for making requests to the backend. |
config |
Config dictionary for the agent. |
Attributes |
|
num_running_jobs |
Return the number of jobs not including schedulers. |
num_running_schedulers |
Return just the number of schedulers. |
thread_ids |
Returns a list of keys running thread ids for the agent. |
Methods
check_sweep_state
View source
check_sweep_state(
launch_spec, api
)
Check the state of a sweep before launching a run for the sweep.
fail_run_queue_item
View source
fail_run_queue_item(
run_queue_item_id, message, phase, files=None
)
finish_thread_id
View source
finish_thread_id(
thread_id, exception=None
)
Removes the job from our list for now.
get_job_and_queue
View source
initialized
View source
@classmethod
initialized() -> bool
Return whether the agent is initialized.
loop
View source
Loop infinitely to poll for jobs and run them.
Raises |
|
KeyboardInterrupt |
if the agent is requested to stop. |
name
View source
@classmethod
name() -> str
Return the name of the agent.
pop_from_queue
View source
Pops an item off the runqueue to run as a job.
Arguments |
|
queue |
Queue to pop from. |
Returns |
|
Item popped off the queue. |
|
Raises |
|
Exception |
if there is an error popping from the queue. |
print_status
View source
Prints the current status of the agent.
run_job
View source
run_job(
job, queue, file_saver
)
Set up project and run the job.
Arguments |
|
job |
Job to run. |
task_run_job
View source
task_run_job(
launch_spec, job, default_config, api, job_tracker
)
update_status
View source
Update the status of the agent.
Arguments |
|
status |
Status to update the agent to. |