Class Instance (0.2.0)

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

The definition of a notebook instance. .. attribute:: name

Output only. The name of this notebook instance. Format: projects/{project_id}/locations/{location}/instances/{instance_id}

:type: str

Attributes
Name	Description
`vm_image`	`google.cloud.notebooks_v1beta1.types.VmImage` Use a Compute Engine VM image to start the notebook instance.
`container_image`	`google.cloud.notebooks_v1beta1.types.ContainerImage` Use a container image to start the notebook instance.
`post_startup_script`	`str` Path to a Bash script that automatically runs after a notebook instance fully boots up. The path must be a URL or Cloud Storage path (`gs://path-to-file/file-name`).
`proxy_uri`	`str` Output only. The proxy endpoint that is used to access the Jupyter notebook.
`instance_owners`	`Sequence[str]` Input only. The owner of this instance after creation. Format: `alias@example.com` Currently supports one owner only. If not specified, all of the service account users of your VM instance's service account can use the instance.
`service_account`	`str` The service account on this instance, giving access to other Google Cloud services. You can use any service account within the same project, but you must have the service account user permission to use the instance. If not specified, the `Compute Engine default service account
`machine_type`	`str` Required. The `Compute Engine machine type
`accelerator_config`	`google.cloud.notebooks_v1beta1.types.Instance.AcceleratorConfig` The hardware accelerator used on this instance. If you use accelerators, make sure that your configuration has `enough vCPUs and memory to support the `machine_type` you have selected
`state`	`google.cloud.notebooks_v1beta1.types.Instance.State` Output only. The state of this instance.
`install_gpu_driver`	`bool` Whether the end user authorizes Google Cloud to install GPU driver on this instance. If this field is empty or set to false, the GPU driver won't be installed. Only applicable to instances with GPUs.
`custom_gpu_driver_path`	`str` Specify a custom Cloud Storage path where the GPU driver is stored. If not specified, we'll automatically choose from official GPU drivers.
`boot_disk_type`	`google.cloud.notebooks_v1beta1.types.Instance.DiskType` Input only. The type of the boot disk attached to this instance, defaults to standard persistent disk (`PD_STANDARD`).
`boot_disk_size_gb`	`int` Input only. The size of the boot disk in GB attached to this instance, up to a maximum of 64000 GB (64 TB). The minimum recommended value is 100 GB. If not specified, this defaults to 100.
`data_disk_type`	`google.cloud.notebooks_v1beta1.types.Instance.DiskType` Input only. The type of the data disk attached to this instance, defaults to standard persistent disk (`PD_STANDARD`).
`data_disk_size_gb`	`int` Input only. The size of the data disk in GB attached to this instance, up to a maximum of 64000 GB (64 TB). You can choose the size of the data disk based on how big your notebooks and data are. If not specified, this defaults to 100.
`no_remove_data_disk`	`bool` Input only. If true, the data disk will not be auto deleted when deleting the instance.
`disk_encryption`	`google.cloud.notebooks_v1beta1.types.Instance.DiskEncryption` Input only. Disk encryption method used on the boot and data disks, defaults to GMEK.
`kms_key`	`str` Input only. The KMS key used to encrypt the disks, only applicable if disk_encryption is CMEK. Format: `projects/{project_id}/locations/{location}/keyRings/{key_ring_id}/cryptoKeys/{key_id}` Learn more about `using your own encryption keys
`no_public_ip`	`bool` If true, no public IP will be assigned to this instance.
`no_proxy_access`	`bool` If true, the notebook instance will not register with the proxy.
`network`	`str` The name of the VPC that this instance is in. Format: `projects/{project_id}/global/networks/{network_id}`
`subnet`	`str` The name of the subnet that this instance is in. Format: `projects/{project_id}/regions/{region}/subnetworks/{subnetwork_id}`
`labels`	`Sequence[google.cloud.notebooks_v1beta1.types.Instance.LabelsEntry]` Labels to apply to this instance. These can be later modified by the setLabels method.
`metadata`	`Sequence[google.cloud.notebooks_v1beta1.types.Instance.MetadataEntry]` Custom metadata to apply to this instance.
`create_time`	`google.protobuf.timestamp_pb2.Timestamp` Output only. Instance creation time.
`update_time`	`google.protobuf.timestamp_pb2.Timestamp` Output only. Instance update time.

Classes

AcceleratorConfig

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

Definition of a hardware accelerator. Note that not all combinations of type and core_count are valid. Check GPUs on Compute Engine </compute/docs/gpus/#gpus-list>__ to find a valid combination. TPUs are not supported.

AcceleratorType

AcceleratorType(value)

Definition of the types of hardware accelerators that can be used on this instance.

DiskEncryption

DiskEncryption(value)

Definition of the disk encryption options.

DiskType

DiskType(value)

Possible disk types for notebook instances.

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, .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.

MetadataEntry

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