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TensorboardRun(mapping=None, *, ignore_unknown_fields=False, **kwargs)
TensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etc
Attributes
Name | Description |
name |
str
Output only. Name of the TensorboardRun. Format: ``projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`` |
display_name |
str
Required. User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment. |
description |
str
Description of this TensorboardRun. |
create_time |
google.protobuf.timestamp_pb2.Timestamp
Output only. Timestamp when this TensorboardRun was created. |
update_time |
google.protobuf.timestamp_pb2.Timestamp
Output only. Timestamp when this TensorboardRun was last updated. |
etag |
str
Used to perform a consistent read-modify- rite updates. If not set, a blind "overwrite" update happens. |
Inheritance
builtins.object > proto.message.Message > TensorboardRunClasses
LabelsEntry
LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)
The abstract base class for a message.
Name | Description |
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 |