Class Tensorboard (1.36.4)

Tensorboard(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Tensorboard is a physical database that stores users' training metrics. A default Tensorboard is provided in each region of a Google Cloud project. If needed users can also create extra Tensorboards in their projects.

Attributes

NameDescription
name str
Output only. Name of the Tensorboard. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}
display_name str
Required. User provided name of this Tensorboard.
description str
Description of this Tensorboard.
encryption_spec google.cloud.aiplatform_v1beta1.types.EncryptionSpec
Customer-managed encryption key spec for a Tensorboard. If set, this Tensorboard and all sub-resources of this Tensorboard will be secured by this key.
blob_storage_path_prefix str
Output only. Consumer project Cloud Storage path prefix used to store blob data, which can either be a bucket or directory. Does not end with a '/'.
run_count int
Output only. The number of Runs stored in this Tensorboard.
create_time google.protobuf.timestamp_pb2.Timestamp
Output only. Timestamp when this Tensorboard was created.
update_time google.protobuf.timestamp_pb2.Timestamp
Output only. Timestamp when this Tensorboard was last updated.
labels MutableMapping[str, str]
The labels with user-defined metadata to organize your Tensorboards. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Tensorboard (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
etag str
Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
is_default bool
Used to indicate if the TensorBoard instance is the default one. Each project & region can have at most one default TensorBoard instance. Creation of a default TensorBoard instance and updating an existing TensorBoard instance to be default will mark all other TensorBoard instances (if any) as non default.

Classes

LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters
NameDescription
kwargs dict

Keys and values corresponding to the fields of the message.

mapping Union[dict, .Message]

A dictionary or message to be used to determine the values for this message.

ignore_unknown_fields Optional(bool)

If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

Methods

Tensorboard

Tensorboard(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Tensorboard is a physical database that stores users' training metrics. A default Tensorboard is provided in each region of a Google Cloud project. If needed users can also create extra Tensorboards in their projects.