Package Methods (0.1.0)

Summary of entries of Methods for google-cloud-gkerecommender.

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient

GkeInferenceQuickstartAsyncClient(
    *,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    transport: typing.Optional[
        typing.Union[
            str,
            google.cloud.gkerecommender_v1.services.gke_inference_quickstart.transports.base.GkeInferenceQuickstartTransport,
            typing.Callable[
                [...],
                google.cloud.gkerecommender_v1.services.gke_inference_quickstart.transports.base.GkeInferenceQuickstartTransport,
            ],
        ]
    ] = "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
)

Instantiates the gke inference quickstart async client.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.common_billing_account_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.common_folder_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.common_location_path

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

Returns a fully-qualified location string.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.common_location_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.common_organization_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.common_project_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.fetch_benchmarking_data

fetch_benchmarking_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.gkerecommender_v1.types.gkerecommender.FetchBenchmarkingDataRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.gkerecommender_v1.types.gkerecommender.FetchBenchmarkingDataResponse

Fetches all of the benchmarking data available for a profile.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.fetch_benchmarking_data

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.fetch_model_server_versions

fetch_model_server_versions(
    request: typing.Optional[
        typing.Union[
            google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelServerVersionsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelServerVersionsAsyncPager
)

Fetches available model server versions.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.fetch_model_server_versions

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.fetch_model_servers

fetch_model_servers(
    request: typing.Optional[
        typing.Union[
            google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelServersRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelServersAsyncPager
)

Fetches available model servers.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.fetch_model_servers

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.fetch_models

fetch_models(
    request: typing.Optional[
        typing.Union[
            google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelsRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelsAsyncPager
)

Fetches available models.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.fetch_models

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.fetch_profiles

fetch_profiles(
    request: typing.Optional[
        typing.Union[
            google.cloud.gkerecommender_v1.types.gkerecommender.FetchProfilesRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchProfilesAsyncPager
)

Fetches available profiles.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.fetch_profiles

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.from_service_account_file

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

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

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.from_service_account_file

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.from_service_account_info

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

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

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.from_service_account_info

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.from_service_account_json

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

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

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.from_service_account_json

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.generate_optimized_manifest

generate_optimized_manifest(
    request: typing.Optional[
        typing.Union[
            google.cloud.gkerecommender_v1.types.gkerecommender.GenerateOptimizedManifestRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.gkerecommender_v1.types.gkerecommender.GenerateOptimizedManifestResponse
)

Generates an optimized deployment manifest for a given model and model server, based on the specified accelerator, performance targets, and configurations.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.generate_optimized_manifest

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.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.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.get_transport_class

get_transport_class(
    label: typing.Optional[str] = None,
) -> typing.Type[
    google.cloud.gkerecommender_v1.services.gke_inference_quickstart.transports.base.GkeInferenceQuickstartTransport
]

Returns an appropriate transport class.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.get_transport_class

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.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.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.parse_common_billing_account_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.parse_common_folder_path

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

Parse a folder path into its component segments.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.parse_common_folder_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.parse_common_location_path

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

Parse a location path into its component segments.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.parse_common_location_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.parse_common_organization_path

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

Parse a organization path into its component segments.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.parse_common_organization_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.parse_common_project_path

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

Parse a project path into its component segments.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartAsyncClient.parse_common_project_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient

GkeInferenceQuickstartClient(
    *,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    transport: typing.Optional[
        typing.Union[
            str,
            google.cloud.gkerecommender_v1.services.gke_inference_quickstart.transports.base.GkeInferenceQuickstartTransport,
            typing.Callable[
                [...],
                google.cloud.gkerecommender_v1.services.gke_inference_quickstart.transports.base.GkeInferenceQuickstartTransport,
            ],
        ]
    ] = None,
    client_options: typing.Optional[
        typing.Union[google.api_core.client_options.ClientOptions, dict]
    ] = None,
    client_info: google.api_core.gapic_v1.client_info.ClientInfo = google.api_core.gapic_v1.client_info.ClientInfo
)

Instantiates the gke inference quickstart client.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.exit

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.common_billing_account_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.common_folder_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.common_location_path

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

Returns a fully-qualified location string.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.common_location_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.common_organization_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.common_project_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.fetch_benchmarking_data

fetch_benchmarking_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.gkerecommender_v1.types.gkerecommender.FetchBenchmarkingDataRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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, typing.Union[str, bytes]]] = ()
) -> google.cloud.gkerecommender_v1.types.gkerecommender.FetchBenchmarkingDataResponse

Fetches all of the benchmarking data available for a profile.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.fetch_benchmarking_data

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.fetch_model_server_versions

fetch_model_server_versions(
    request: typing.Optional[
        typing.Union[
            google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelServerVersionsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelServerVersionsPager
)

Fetches available model server versions.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.fetch_model_server_versions

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.fetch_model_servers

fetch_model_servers(
    request: typing.Optional[
        typing.Union[
            google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelServersRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelServersPager
)

Fetches available model servers.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.fetch_model_servers

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.fetch_models

fetch_models(
    request: typing.Optional[
        typing.Union[
            google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelsRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelsPager
)

Fetches available models.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.fetch_models

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.fetch_profiles

fetch_profiles(
    request: typing.Optional[
        typing.Union[
            google.cloud.gkerecommender_v1.types.gkerecommender.FetchProfilesRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchProfilesPager
)

Fetches available profiles.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.fetch_profiles

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.from_service_account_file

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

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

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.from_service_account_file

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.from_service_account_info

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

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

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.from_service_account_info

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.from_service_account_json

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

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

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.from_service_account_json

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.generate_optimized_manifest

generate_optimized_manifest(
    request: typing.Optional[
        typing.Union[
            google.cloud.gkerecommender_v1.types.gkerecommender.GenerateOptimizedManifestRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.gkerecommender_v1.types.gkerecommender.GenerateOptimizedManifestResponse
)

Generates an optimized deployment manifest for a given model and model server, based on the specified accelerator, performance targets, and configurations.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.generate_optimized_manifest

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.get_mtls_endpoint_and_cert_source

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

Deprecated.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.get_mtls_endpoint_and_cert_source

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.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.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.parse_common_billing_account_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.parse_common_folder_path

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

Parse a folder path into its component segments.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.parse_common_folder_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.parse_common_location_path

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

Parse a location path into its component segments.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.parse_common_location_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.parse_common_organization_path

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

Parse a organization path into its component segments.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.parse_common_organization_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.parse_common_project_path

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

Parse a project path into its component segments.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.GkeInferenceQuickstartClient.parse_common_project_path

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelServerVersionsAsyncPager

FetchModelServerVersionsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelServerVersionsResponse
        ],
    ],
    request: google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelServerVersionsRequest,
    response: google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelServerVersionsResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
)

Instantiates the pager.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelServerVersionsAsyncPager

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelServerVersionsPager

FetchModelServerVersionsPager(
    method: typing.Callable[
        [...],
        google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelServerVersionsResponse,
    ],
    request: google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelServerVersionsRequest,
    response: google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelServerVersionsResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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, typing.Union[str, bytes]]] = ()
)

Instantiate the pager.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelServerVersionsPager

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelServersAsyncPager

FetchModelServersAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelServersResponse
        ],
    ],
    request: google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelServersRequest,
    response: google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelServersResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
)

Instantiates the pager.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelServersAsyncPager

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelServersPager

FetchModelServersPager(
    method: typing.Callable[
        [...],
        google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelServersResponse,
    ],
    request: google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelServersRequest,
    response: google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelServersResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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, typing.Union[str, bytes]]] = ()
)

Instantiate the pager.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelServersPager

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelsAsyncPager

FetchModelsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelsResponse
        ],
    ],
    request: google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelsRequest,
    response: google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelsResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
)

Instantiates the pager.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelsAsyncPager

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelsPager

FetchModelsPager(
    method: typing.Callable[
        [...], google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelsResponse
    ],
    request: google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelsRequest,
    response: google.cloud.gkerecommender_v1.types.gkerecommender.FetchModelsResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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, typing.Union[str, bytes]]] = ()
)

Instantiate the pager.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchModelsPager

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchProfilesAsyncPager

FetchProfilesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.gkerecommender_v1.types.gkerecommender.FetchProfilesResponse
        ],
    ],
    request: google.cloud.gkerecommender_v1.types.gkerecommender.FetchProfilesRequest,
    response: google.cloud.gkerecommender_v1.types.gkerecommender.FetchProfilesResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
)

Instantiates the pager.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchProfilesAsyncPager

google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchProfilesPager

FetchProfilesPager(
    method: typing.Callable[
        [...], google.cloud.gkerecommender_v1.types.gkerecommender.FetchProfilesResponse
    ],
    request: google.cloud.gkerecommender_v1.types.gkerecommender.FetchProfilesRequest,
    response: google.cloud.gkerecommender_v1.types.gkerecommender.FetchProfilesResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.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, typing.Union[str, bytes]]] = ()
)

Instantiate the pager.

See more: google.cloud.gkerecommender_v1.services.gke_inference_quickstart.pagers.FetchProfilesPager