Class TpuAsyncClient (1.16.0)

TpuAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.tpu_v1.services.tpu.transports.base.TpuTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Manages TPU nodes and other resources

TPU API v1

Properties

transport

Returns the transport used by the client instance.

Returns
TypeDescription
TpuTransportThe transport used by the client instance.

Methods

TpuAsyncClient

TpuAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.tpu_v1.services.tpu.transports.base.TpuTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the tpu client.

Parameters
NameDescription
credentials Optional[google.auth.credentials.Credentials]

The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.

transport Union[str, .TpuTransport]

The transport to use. If set to None, a transport is chosen automatically.

client_options ClientOptions

Custom options for the client. It won't take effect if a transport instance is provided. (1) The api_endpoint property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the api_endpoint property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used.

Exceptions
TypeDescription
google.auth.exceptions.MutualTlsChannelErrorIf mutual TLS transport creation failed for any reason.

accelerator_type_path

accelerator_type_path(project: str, location: str, accelerator_type: str) -> str

Returns a fully-qualified accelerator_type string.

cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
NameDescription
request .operations_pb2.CancelOperationRequest

The request object. Request message for CancelOperation method.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

create_node

create_node(
    request: typing.Optional[
        typing.Union[google.cloud.tpu_v1.types.cloud_tpu.CreateNodeRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    node: typing.Optional[google.cloud.tpu_v1.types.cloud_tpu.Node] = None,
    node_id: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a node.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tpu_v1

async def sample_create_node():
    # Create a client
    client = tpu_v1.TpuAsyncClient()

    # Initialize request argument(s)
    node = tpu_v1.Node()
    node.accelerator_type = "accelerator_type_value"
    node.tensorflow_version = "tensorflow_version_value"

    request = tpu_v1.CreateNodeRequest(
        parent="parent_value",
        node=node,
    )

    # Make the request
    operation = client.create_node(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.tpu_v1.types.CreateNodeRequest, dict]]

The request object. Request for CreateNode.

parent str

Required. The parent resource name. This corresponds to the parent field on the request instance; if request is provided, this should not be set.

node Node

Required. The node. This corresponds to the node field on the request instance; if request is provided, this should not be set.

node_id str

The unqualified resource name. This corresponds to the node_id field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be Node A TPU instance.

delete_node

delete_node(
    request: typing.Optional[
        typing.Union[google.cloud.tpu_v1.types.cloud_tpu.DeleteNodeRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a node.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tpu_v1

async def sample_delete_node():
    # Create a client
    client = tpu_v1.TpuAsyncClient()

    # Initialize request argument(s)
    request = tpu_v1.DeleteNodeRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_node(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.tpu_v1.types.DeleteNodeRequest, dict]]

The request object. Request for DeleteNode.

name str

Required. The resource name. This corresponds to the name field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be Node A TPU instance.

delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
NameDescription
request .operations_pb2.DeleteOperationRequest

The request object. Request message for DeleteOperation method.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
TpuAsyncClientThe constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

Parameter
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
TpuAsyncClientThe constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
TpuAsyncClientThe constructed client.

get_accelerator_type

get_accelerator_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.tpu_v1.types.cloud_tpu.GetAcceleratorTypeRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tpu_v1.types.cloud_tpu.AcceleratorType

Gets AcceleratorType.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tpu_v1

async def sample_get_accelerator_type():
    # Create a client
    client = tpu_v1.TpuAsyncClient()

    # Initialize request argument(s)
    request = tpu_v1.GetAcceleratorTypeRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_accelerator_type(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.tpu_v1.types.GetAcceleratorTypeRequest, dict]]

The request object. Request for GetAcceleratorType.

name str

Required. The resource name. This corresponds to the name field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tpu_v1.types.AcceleratorTypeA accelerator type that a Node can be configured with.

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

Parameters
NameDescription
request .location_pb2.GetLocationRequest

The request object. Request message for GetLocation method.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
.location_pb2.LocationLocation object.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not "true", the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variable is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameter
NameDescription
client_options google.api_core.client_options.ClientOptions

Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Exceptions
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
Tuple[str, Callable[[], Tuple[bytes, bytes]]]returns the API endpoint and the client cert source to use.

get_node

get_node(
    request: typing.Optional[
        typing.Union[google.cloud.tpu_v1.types.cloud_tpu.GetNodeRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tpu_v1.types.cloud_tpu.Node

Gets the details of a node.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tpu_v1

async def sample_get_node():
    # Create a client
    client = tpu_v1.TpuAsyncClient()

    # Initialize request argument(s)
    request = tpu_v1.GetNodeRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_node(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.tpu_v1.types.GetNodeRequest, dict]]

The request object. Request for GetNode.

name str

Required. The resource name. This corresponds to the name field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tpu_v1.types.NodeA TPU instance.

get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

Parameters
NameDescription
request .operations_pb2.GetOperationRequest

The request object. Request message for GetOperation method.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
.operations_pb2.OperationAn Operation object.

get_tensor_flow_version

get_tensor_flow_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.tpu_v1.types.cloud_tpu.GetTensorFlowVersionRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tpu_v1.types.cloud_tpu.TensorFlowVersion

Gets TensorFlow Version.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tpu_v1

async def sample_get_tensor_flow_version():
    # Create a client
    client = tpu_v1.TpuAsyncClient()

    # Initialize request argument(s)
    request = tpu_v1.GetTensorFlowVersionRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_tensor_flow_version(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.tpu_v1.types.GetTensorFlowVersionRequest, dict]]

The request object. Request for GetTensorFlowVersion.

name str

Required. The resource name. This corresponds to the name field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tpu_v1.types.TensorFlowVersionA tensorflow version that a Node can be configured with.

get_transport_class

get_transport_class() -> (
    typing.Type[google.cloud.tpu_v1.services.tpu.transports.base.TpuTransport]
)

Returns an appropriate transport class.

list_accelerator_types

list_accelerator_types(
    request: typing.Optional[
        typing.Union[
            google.cloud.tpu_v1.types.cloud_tpu.ListAcceleratorTypesRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tpu_v1.services.tpu.pagers.ListAcceleratorTypesAsyncPager

Lists accelerator types supported by this API.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tpu_v1

async def sample_list_accelerator_types():
    # Create a client
    client = tpu_v1.TpuAsyncClient()

    # Initialize request argument(s)
    request = tpu_v1.ListAcceleratorTypesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_accelerator_types(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.tpu_v1.types.ListAcceleratorTypesRequest, dict]]

The request object. Request for ListAcceleratorTypes.

parent str

Required. The parent resource name. This corresponds to the parent field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tpu_v1.services.tpu.pagers.ListAcceleratorTypesAsyncPagerResponse for ListAcceleratorTypes. Iterating over this object will yield results and resolve additional pages automatically.

list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

Parameters
NameDescription
request .location_pb2.ListLocationsRequest

The request object. Request message for ListLocations method.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
.location_pb2.ListLocationsResponseResponse message for ListLocations method.

list_nodes

list_nodes(
    request: typing.Optional[
        typing.Union[google.cloud.tpu_v1.types.cloud_tpu.ListNodesRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tpu_v1.services.tpu.pagers.ListNodesAsyncPager

Lists nodes.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tpu_v1

async def sample_list_nodes():
    # Create a client
    client = tpu_v1.TpuAsyncClient()

    # Initialize request argument(s)
    request = tpu_v1.ListNodesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_nodes(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.tpu_v1.types.ListNodesRequest, dict]]

The request object. Request for ListNodes.

parent str

Required. The parent resource name. This corresponds to the parent field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tpu_v1.services.tpu.pagers.ListNodesAsyncPagerResponse for ListNodes. Iterating over this object will yield results and resolve additional pages automatically.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

Parameters
NameDescription
request .operations_pb2.ListOperationsRequest

The request object. Request message for ListOperations method.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
.operations_pb2.ListOperationsResponseResponse message for ListOperations method.

list_tensor_flow_versions

list_tensor_flow_versions(
    request: typing.Optional[
        typing.Union[
            google.cloud.tpu_v1.types.cloud_tpu.ListTensorFlowVersionsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tpu_v1.services.tpu.pagers.ListTensorFlowVersionsAsyncPager

List TensorFlow versions supported by this API.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tpu_v1

async def sample_list_tensor_flow_versions():
    # Create a client
    client = tpu_v1.TpuAsyncClient()

    # Initialize request argument(s)
    request = tpu_v1.ListTensorFlowVersionsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_tensor_flow_versions(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.tpu_v1.types.ListTensorFlowVersionsRequest, dict]]

The request object. Request for ListTensorFlowVersions.

parent str

Required. The parent resource name. This corresponds to the parent field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tpu_v1.services.tpu.pagers.ListTensorFlowVersionsAsyncPagerResponse for ListTensorFlowVersions. Iterating over this object will yield results and resolve additional pages automatically.

node_path

node_path(project: str, location: str, node: str) -> str

Returns a fully-qualified node string.

parse_accelerator_type_path

parse_accelerator_type_path(path: str) -> typing.Dict[str, str]

Parses a accelerator_type path into its component segments.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_node_path

parse_node_path(path: str) -> typing.Dict[str, str]

Parses a node path into its component segments.

parse_tensor_flow_version_path

parse_tensor_flow_version_path(path: str) -> typing.Dict[str, str]

Parses a tensor_flow_version path into its component segments.

reimage_node

reimage_node(
    request: typing.Optional[
        typing.Union[google.cloud.tpu_v1.types.cloud_tpu.ReimageNodeRequest, dict]
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Reimages a node's OS.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tpu_v1

async def sample_reimage_node():
    # Create a client
    client = tpu_v1.TpuAsyncClient()

    # Initialize request argument(s)
    request = tpu_v1.ReimageNodeRequest(
    )

    # Make the request
    operation = client.reimage_node(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.tpu_v1.types.ReimageNodeRequest, dict]]

The request object. Request for ReimageNode.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be Node A TPU instance.

start_node

start_node(
    request: typing.Optional[
        typing.Union[google.cloud.tpu_v1.types.cloud_tpu.StartNodeRequest, dict]
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Starts a node.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tpu_v1

async def sample_start_node():
    # Create a client
    client = tpu_v1.TpuAsyncClient()

    # Initialize request argument(s)
    request = tpu_v1.StartNodeRequest(
    )

    # Make the request
    operation = client.start_node(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.tpu_v1.types.StartNodeRequest, dict]]

The request object. Request for StartNode.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be Node A TPU instance.

stop_node

stop_node(
    request: typing.Optional[
        typing.Union[google.cloud.tpu_v1.types.cloud_tpu.StopNodeRequest, dict]
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Stops a node, this operation is only available with single TPU nodes.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tpu_v1

async def sample_stop_node():
    # Create a client
    client = tpu_v1.TpuAsyncClient()

    # Initialize request argument(s)
    request = tpu_v1.StopNodeRequest(
    )

    # Make the request
    operation = client.stop_node(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Optional[Union[google.cloud.tpu_v1.types.StopNodeRequest, dict]]

The request object. Request for StopNode.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be Node A TPU instance.

tensor_flow_version_path

tensor_flow_version_path(
    project: str, location: str, tensor_flow_version: str
) -> str

Returns a fully-qualified tensor_flow_version string.