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API documentation for aiplatform_v1beta1.services.deployment_resource_pool_service.pagers
module.
Classes
ListDeploymentResourcePoolsAsyncPager
ListDeploymentResourcePoolsAsyncPager(
method: Callable[
[...],
Awaitable[
google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsResponse
],
],
request: google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsRequest,
response: google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()
)
A pager for iterating through list_deployment_resource_pools
requests.
This class thinly wraps an initial
ListDeploymentResourcePoolsResponse object, and
provides an __aiter__
method to iterate through its
deployment_resource_pools
field.
If there are more pages, the __aiter__
method will make additional
ListDeploymentResourcePools
requests and continue to iterate
through the deployment_resource_pools
field on the
corresponding responses.
All the usual ListDeploymentResourcePoolsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListDeploymentResourcePoolsPager
ListDeploymentResourcePoolsPager(
method: Callable[
[...],
google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsResponse,
],
request: google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsRequest,
response: google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()
)
A pager for iterating through list_deployment_resource_pools
requests.
This class thinly wraps an initial
ListDeploymentResourcePoolsResponse object, and
provides an __iter__
method to iterate through its
deployment_resource_pools
field.
If there are more pages, the __iter__
method will make additional
ListDeploymentResourcePools
requests and continue to iterate
through the deployment_resource_pools
field on the
corresponding responses.
All the usual ListDeploymentResourcePoolsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
QueryDeployedModelsAsyncPager
QueryDeployedModelsAsyncPager(
method: Callable[
[...],
Awaitable[
google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.QueryDeployedModelsResponse
],
],
request: google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.QueryDeployedModelsRequest,
response: google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.QueryDeployedModelsResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()
)
A pager for iterating through query_deployed_models
requests.
This class thinly wraps an initial
QueryDeployedModelsResponse object, and
provides an __aiter__
method to iterate through its
deployed_models
field.
If there are more pages, the __aiter__
method will make additional
QueryDeployedModels
requests and continue to iterate
through the deployed_models
field on the
corresponding responses.
All the usual QueryDeployedModelsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
QueryDeployedModelsPager
QueryDeployedModelsPager(
method: Callable[
[...],
google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.QueryDeployedModelsResponse,
],
request: google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.QueryDeployedModelsRequest,
response: google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.QueryDeployedModelsResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()
)
A pager for iterating through query_deployed_models
requests.
This class thinly wraps an initial
QueryDeployedModelsResponse object, and
provides an __iter__
method to iterate through its
deployed_models
field.
If there are more pages, the __iter__
method will make additional
QueryDeployedModels
requests and continue to iterate
through the deployed_models
field on the
corresponding responses.
All the usual QueryDeployedModelsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.