Class TpuAsyncClient (1.9.0)

Manages TPU nodes and other resources TPU API v1

Returns the transport used by the client instance.

Instantiates the tpu client.

Returns a fully-qualified accelerator_type string.

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.

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

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)

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)

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.

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

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

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

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)

Gets information about a location.

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.

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)

Gets the latest state of a long-running operation.

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)

Returns an appropriate transport class.

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)

Lists information about the supported locations for this service.

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)

Lists operations that match the specified filter in the request.

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)

Returns a fully-qualified node string.

Parses a accelerator_type path into its component segments.

Parse a billing_account path into its component segments.

Parse a folder path into its component segments.

Parse a location path into its component segments.

Parse a organization path into its component segments.

Parse a project path into its component segments.

Parses a node path into its component segments.

Parses a tensor_flow_version path into its component segments.

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)

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)

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)

Returns a fully-qualified tensor_flow_version string.