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PersistentResource(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Represents long-lasting resources that are dedicated to users to runs custom workloads. A PersistentResource can have multiple node pools and each node pool can have its own machine spec.
Attributes |
|
---|---|
Name | Description |
name |
str
Immutable. Resource name of a PersistentResource. |
display_name |
str
Optional. The display name of the PersistentResource. The name can be up to 128 characters long and can consist of any UTF-8 characters. |
resource_pools |
MutableSequence[google.cloud.aiplatform_v1beta1.types.ResourcePool]
Required. The spec of the pools of different resources. |
state |
google.cloud.aiplatform_v1beta1.types.PersistentResource.State
Output only. The detailed state of a Study. |
error |
google.rpc.status_pb2.Status
Output only. Only populated when persistent resource's state is STOPPING or ERROR .
|
create_time |
google.protobuf.timestamp_pb2.Timestamp
Output only. Time when the PersistentResource was created. |
start_time |
google.protobuf.timestamp_pb2.Timestamp
Output only. Time when the PersistentResource for the first time entered the RUNNING state.
|
update_time |
google.protobuf.timestamp_pb2.Timestamp
Output only. Time when the PersistentResource was most recently updated. |
labels |
MutableMapping[str, str]
Optional. The labels with user-defined metadata to organize PersistentResource. 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. See https://goo.gl/xmQnxf for more information and examples of labels. |
network |
str
Optional. The full name of the Compute Engine network __
to peered with Vertex AI to host the persistent resources.
For example, projects/12345/global/networks/myVPC .
Format __
is of the form
projects/{project}/global/networks/{network} . Where
{project} is a project number, as in 12345 , and
{network} is a network name.
To specify this field, you must have already `configured VPC
Network Peering for Vertex
AI |
encryption_spec |
google.cloud.aiplatform_v1beta1.types.EncryptionSpec
Optional. Customer-managed encryption key spec for a PersistentResource. If set, this PersistentResource and all sub-resources of this PersistentResource will be secured by this key. |
resource_runtime_spec |
google.cloud.aiplatform_v1beta1.types.ResourceRuntimeSpec
Optional. Persistent Resource runtime spec. For example, used for Ray cluster configuration. |
resource_runtime |
google.cloud.aiplatform_v1beta1.types.ResourceRuntime
Output only. Runtime information of the Persistent Resource. |
reserved_ip_ranges |
MutableSequence[str]
Optional. A list of names for the reserved IP ranges under the VPC network that can be used for this persistent resource. If set, we will deploy the persistent resource within the provided IP ranges. Otherwise, the persistent resource is deployed to any IP ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. |
Classes
LabelsEntry
LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)
The abstract base class for a message.
Parameters | |
---|---|
Name | Description |
kwargs |
dict
Keys and values corresponding to the fields of the message. |
mapping |
Union[dict,
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 |
State
State(value)
Describes the PersistentResource state.
Values:
STATE_UNSPECIFIED (0):
Not set.
PROVISIONING (1):
The PROVISIONING state indicates the
persistent resources is being created.
RUNNING (3):
The RUNNING state indicates the persistent
resource is healthy and fully usable.
STOPPING (4):
The STOPPING state indicates the persistent
resource is being deleted.
ERROR (5):
The ERROR state indicates the persistent resource may be
unusable. Details can be found in the error
field.
REBOOTING (6):
The REBOOTING state indicates the persistent
resource is being rebooted (PR is not available
right now but is expected to be ready again
later).
UPDATING (7):
The UPDATING state indicates the persistent
resource is being updated.
Methods
PersistentResource
PersistentResource(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Represents long-lasting resources that are dedicated to users to runs custom workloads. A PersistentResource can have multiple node pools and each node pool can have its own machine spec.