Api
Used for querying the wandb server.
Api(
overrides: Optional[Dict[str, Any]] = None,
timeout: Optional[int] = None,
api_key: Optional[str] = None
) -> None
Examples:
Most common way to initialize
>>> wandb.Api()
Args |
|
overrides |
(dict) You can set base_url if you are using a wandb server other than https://api.wandb.ai. You can also set defaults for entity , project , and run . |
Methods
artifact
View source
artifact(
name: str,
type: Optional[str] = None
)
Return a single artifact by parsing path in the form project/name
or entity/project/name
.
Args |
|
name |
(str) An artifact name. May be prefixed with project/ or entity/project/. If no entity is specified in the name, the Run or API setting’s entity is used. Valid names can be in the following forms: name:version name:alias |
type |
(str, optional) The type of artifact to fetch. |
Returns |
|
An Artifact object. |
|
Raises |
|
ValueError |
If the artifact name is not specified. |
ValueError |
If the artifact type is specified but does not match the type of the fetched artifact. |
Note:
This method is intended for external use only. Do not call api.artifact()
within the wandb repository code.
artifact_collection
View source
artifact_collection(
type_name: str,
name: str
) -> "public.ArtifactCollection"
Return a single artifact collection by type and parsing path in the form entity/project/name
.
Args |
|
type_name |
(str) The type of artifact collection to fetch. |
name |
(str) An artifact collection name. May be prefixed with entity/project. |
Returns |
|
An ArtifactCollection object. |
|
artifact_collection_exists
View source
artifact_collection_exists(
name: str,
type: str
) -> bool
Return whether an artifact collection exists within a specified project and entity.
Args |
|
name |
(str) An artifact collection name. May be prefixed with entity/project. If entity or project is not specified, it will be inferred from the override params if populated. Otherwise, entity will be pulled from the user settings and project will default to uncategorized . |
type |
(str) The type of artifact collection |
Returns |
|
True if the artifact collection exists, False otherwise. |
|
artifact_collections
View source
artifact_collections(
project_name: str,
type_name: str,
per_page: Optional[int] = 50
) -> "public.ArtifactCollections"
Return a collection of matching artifact collections.
Args |
|
project_name |
(str) The name of the project to filter on. |
type_name |
(str) The name of the artifact type to filter on. |
per_page |
(int, optional) Sets the page size for query pagination. None will use the default size. Usually there is no reason to change this. |
Returns |
|
An iterable ArtifactCollections object. |
|
artifact_exists
View source
artifact_exists(
name: str,
type: Optional[str] = None
) -> bool
Return whether an artifact version exists within a specified project and entity.
Args |
|
name |
(str) An artifact name. May be prefixed with entity/project. If entity or project is not specified, it will be inferred from the override params if populated. Otherwise, entity will be pulled from the user settings and project will default to uncategorized . Valid names can be in the following forms: name:version name:alias . |
type |
(str, optional) The type of artifact. |
Returns |
|
True if the artifact version exists, False otherwise. |
|
artifact_type
View source
artifact_type(
type_name: str,
project: Optional[str] = None
) -> "public.ArtifactType"
Return the matching ArtifactType
.
Args |
|
type_name |
(str) The name of the artifact type to retrieve. |
project |
(str, optional) If given, a project name or path to filter on. |
Returns |
|
An ArtifactType object. |
|
artifact_types
View source
artifact_types(
project: Optional[str] = None
) -> "public.ArtifactTypes"
Return a collection of matching artifact types.
Args |
|
project |
(str, optional) If given, a project name or path to filter on. |
Returns |
|
An iterable ArtifactTypes object. |
|
artifact_versions
View source
artifact_versions(
type_name, name, per_page=50
)
Deprecated, use artifacts(type_name, name)
instead.
artifacts
View source
artifacts(
type_name: str,
name: str,
per_page: Optional[int] = 50,
tags: Optional[List[str]] = None
) -> "public.Artifacts"
Return an Artifacts
collection from the given parameters.
Args |
|
type_name |
(str) The type of artifacts to fetch. |
name |
(str) An artifact collection name. May be prefixed with entity/project. |
per_page |
(int, optional) Sets the page size for query pagination. None will use the default size. Usually there is no reason to change this. |
tags |
(list[str], optional) Only return artifacts with all of these tags. |
Returns |
|
An iterable Artifacts object. |
|
create_project
View source
create_project(
name: str,
entity: str
) -> None
Create a new project.
Args |
|
name |
(str) The name of the new project. |
entity |
(str) The entity of the new project. |
create_run
View source
create_run(
*,
run_id: Optional[str] = None,
project: Optional[str] = None,
entity: Optional[str] = None
) -> "public.Run"
Create a new run.
Args |
|
run_id |
(str, optional) The ID to assign to the run, if given. The run ID is automatically generated by default, so in general, you do not need to specify this and should only do so at your own risk. |
project |
(str, optional) If given, the project of the new run. |
entity |
(str, optional) If given, the entity of the new run. |
Returns |
|
The newly created Run . |
|
create_run_queue
View source
create_run_queue(
name: str,
type: "public.RunQueueResourceType",
entity: Optional[str] = None,
prioritization_mode: Optional['public.RunQueuePrioritizationMode'] = None,
config: Optional[dict] = None,
template_variables: Optional[dict] = None
) -> "public.RunQueue"
Create a new run queue (launch).
Args |
|
name |
(str) Name of the queue to create. |
type |
(str) Type of resource to be used for the queue. One of local-container , local-process , kubernetes , sagemaker , or gcp-vertex . |
entity |
(str) Optional name of the entity to create the queue. If None, will use the configured or default entity. |
prioritization_mode |
(str) Optional version of prioritization to use. Either V0 or None . |
config |
(dict) Optional default resource configuration to be used for the queue. Use handlebars (eg. {{var}} ) to specify template variables. |
template_variables |
(dict) A dictionary of template variable schemas to be used with the config. Expected format of: { "var-name": { "schema": { "type": ("string", "number", or "integer"), "default": (optional value), "minimum": (optional minimum), "maximum": (optional maximum), "enum": [..."(options)"] } } } . |
Returns |
|
The newly created RunQueue |
|
Raises |
|
ValueError if any of the parameters are invalid wandb.Error on wandb API errors |
|
create_team
View source
create_team(
team, admin_username=None
)
Create a new team.
Args |
|
team |
(str) The name of the team |
admin_username |
(str) optional username of the admin user of the team, defaults to the current user. |
create_user
View source
create_user(
email, admin=(False)
)
Create a new user.
Args |
|
email |
(str) The email address of the user |
admin |
(bool) Whether this user should be a global instance admin |
flush
View source
Flush the local cache.
The api object keeps a local cache of runs, so if the state of the run may
change while executing your script you must clear the local cache with
api.flush()
to get the latest values associated with the run.
from_path
View source
Return a run, sweep, project, or report from a path.
Examples:
project = api.from_path("my_project")
team_project = api.from_path("my_team/my_project")
run = api.from_path("my_team/my_project/runs/id")
sweep = api.from_path("my_team/my_project/sweeps/id")
report = api.from_path("my_team/my_project/reports/My-Report-Vm11dsdf")
Args |
|
path |
(str) The path to the project, run, sweep or report |
Returns |
|
A Project , Run , Sweep , or BetaReport instance. |
|
Raises |
|
wandb.Error if path is invalid or the object doesn’t exist |
|
job
View source
job(
name: Optional[str],
path: Optional[str] = None
) -> "public.Job"
Return a Job
from the given parameters.
Args |
|
name |
(str) The job name. |
path |
(str, optional) If given, the root path in which to download the job artifact. |
list_jobs
View source
list_jobs(
entity: str,
project: str
) -> List[Dict[str, Any]]
Return a list of jobs, if any, for the given entity and project.
Args |
|
entity |
(str) The entity for the listed jobs. |
project |
(str) The project for the listed jobs. |
Returns |
|
A list of matching jobs. |
|
project
View source
project(
name: str,
entity: Optional[str] = None
) -> "public.Project"
Return the Project
with the given name (and entity, if given).
Args |
|
name |
(str) The project name. |
entity |
(str) Name of the entity requested. If None, will fall back to the default entity passed to Api . If no default entity, will raise a ValueError . |
Returns |
|
A Project object. |
|
projects
View source
projects(
entity: Optional[str] = None,
per_page: Optional[int] = 200
) -> "public.Projects"
Get projects for a given entity.
Args |
|
entity |
(str) Name of the entity requested. If None, will fall back to the default entity passed to Api . If no default entity, will raise a ValueError . |
per_page |
(int) Sets the page size for query pagination. None will use the default size. Usually there is no reason to change this. |
Returns |
|
A Projects object which is an iterable collection of Project objects. |
|
queued_run
View source
queued_run(
entity, project, queue_name, run_queue_item_id, project_queue=None,
priority=None
)
Return a single queued run based on the path.
Parses paths of the form entity/project/queue_id/run_queue_item_id.
reports
View source
reports(
path: str = "",
name: Optional[str] = None,
per_page: Optional[int] = 50
) -> "public.Reports"
Get reports for a given project path.
WARNING: This api is in beta and will likely change in a future release
Args |
|
path |
(str) path to project the report resides in, should be in the form: “entity/project” |
name |
(str, optional) optional name of the report requested. |
per_page |
(int) Sets the page size for query pagination. None will use the default size. Usually there is no reason to change this. |
Returns |
|
A Reports object which is an iterable collection of BetaReport objects. |
|
run
View source
Return a single run by parsing path in the form entity/project/run_id.
Args |
|
path |
(str) path to run in the form entity/project/run_id . If api.entity is set, this can be in the form project/run_id and if api.project is set this can just be the run_id. |
run_queue
View source
run_queue(
entity, name
)
Return the named RunQueue
for entity.
To create a new RunQueue
, use wandb.Api().create_run_queue(...)
.
runs
View source
runs(
path: Optional[str] = None,
filters: Optional[Dict[str, Any]] = None,
order: str = "+created_at",
per_page: int = 50,
include_sweeps: bool = (True)
)
Return a set of runs from a project that match the filters provided.
You can filter by config.*
, summary_metrics.*
, tags
, state
, entity
, createdAt
, etc.
Examples:
Find runs in my_project where config.experiment_name has been set to “foo”
api.runs(path="my_entity/my_project", filters={"config.experiment_name": "foo"})
Find runs in my_project where config.experiment_name has been set to “foo” or “bar”
api.runs(
path="my_entity/my_project",
filters={
"$or": [
{"config.experiment_name": "foo"},
{"config.experiment_name": "bar"},
]
},
)
Find runs in my_project where config.experiment_name matches a regex (anchors are not supported)
api.runs(
path="my_entity/my_project",
filters={"config.experiment_name": {"$regex": "b.*"}},
)
Find runs in my_project where the run name matches a regex (anchors are not supported)
api.runs(
path="my_entity/my_project", filters={"display_name": {"$regex": "^foo.*"}}
)
Find runs in my_project sorted by ascending loss
api.runs(path="my_entity/my_project", order="+summary_metrics.loss")
Args |
|
path |
(str) path to project, should be in the form: “entity/project” |
filters |
(dict) queries for specific runs using the MongoDB query language. You can filter by run properties such as config.key, summary_metrics.key, state, entity, createdAt, etc. For example: {"config.experiment_name": "foo"} would find runs with a config entry of experiment name set to “foo” You can compose operations to make more complicated queries, see Reference for the language is at https://docs.mongodb.com/manual/reference/operator/query |
order |
(str) Order can be created_at , heartbeat_at , config.*.value , or summary_metrics.* . If you prepend order with a + order is ascending. If you prepend order with a - order is descending (default). The default order is run.created_at from oldest to newest. |
per_page |
(int) Sets the page size for query pagination. |
include_sweeps |
(bool) Whether to include the sweep runs in the results. |
Returns |
|
A Runs object, which is an iterable collection of Run objects. |
|
sweep
View source
Return a sweep by parsing path in the form entity/project/sweep_id
.
Args |
|
path |
(str, optional) path to sweep in the form entity/project/sweep_id. If api.entity is set, this can be in the form project/sweep_id and if api.project is set this can just be the sweep_id. |
sync_tensorboard
View source
sync_tensorboard(
root_dir, run_id=None, project=None, entity=None
)
Sync a local directory containing tfevent files to wandb.
team
View source
team(
team: str
) -> "public.Team"
Return the matching Team
with the given name.
Args |
|
team |
(str) The name of the team. |
upsert_run_queue
View source
upsert_run_queue(
name: str,
resource_config: dict,
resource_type: "public.RunQueueResourceType",
entity: Optional[str] = None,
template_variables: Optional[dict] = None,
external_links: Optional[dict] = None,
prioritization_mode: Optional['public.RunQueuePrioritizationMode'] = None
)
Upsert a run queue (launch).
Args |
|
name |
(str) Name of the queue to create. |
entity |
(str) Optional name of the entity to create the queue. If None, will use the configured or default entity. |
resource_config |
(dict) Optional default resource configuration to be used for the queue. Use handlebars (eg. {{var}} ) to specify template variables. |
resource_type |
(str) Type of resource to be used for the queue. One of local-container , local-process , kubernetes , sagemaker , or gcp-vertex . |
template_variables |
(dict) A dictionary of template variable schemas to be used with the config. Expected format of: { "var-name": { "schema": { "type": ("string", "number", or "integer"), "default": (optional value), "minimum": (optional minimum), "maximum": (optional maximum), "enum": [..."(options)"] } } } . |
external_links |
(dict) Optional dictionary of external links to be used with the queue. Expected format of: { "name": "url" } . |
prioritization_mode |
(str) Optional version of prioritization to use. Either V0 or None . |
Returns |
|
The upserted RunQueue . |
|
Raises |
|
ValueError if any of the parameters are invalid wandb.Error on wandb API errors |
|
user
View source
user(
username_or_email: str
) -> Optional['public.User']
Return a user from a username or email address.
Note: This function only works for Local Admins, if you are trying to get your own user object, please use api.viewer
.
Args |
|
username_or_email |
(str) The username or email address of the user |
Returns |
|
A User object or None if a user couldn’t be found |
|
users
View source
users(
username_or_email: str
) -> List['public.User']
Return all users from a partial username or email address query.
Note: This function only works for Local Admins, if you are trying to get your own user object, please use api.viewer
.
Args |
|
username_or_email |
(str) The prefix or suffix of the user you want to find |
Returns |
|
An array of User objects |
|
Class Variables |
|
CREATE_PROJECT |
|
DEFAULT_ENTITY_QUERY |
|
USERS_QUERY |
|
VIEWER_QUERY |
|