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syntax = "proto3";
package yandex.cloud.compute.v1;
import "google/api/annotations.proto";
import "google/protobuf/field_mask.proto";
import "yandex/cloud/access/access.proto";
import "yandex/cloud/api/operation.proto";
import "yandex/cloud/compute/v1/instance.proto";
import "yandex/cloud/compute/v1/gpu_cluster.proto";
import "yandex/cloud/operation/operation.proto";
import "yandex/cloud/validation.proto";
option go_package = "github.com/yandex-cloud/go-genproto/yandex/cloud/compute/v1;compute";
option java_package = "yandex.cloud.api.compute.v1";
// A set of methods for managing GPU clusters.
service GpuClusterService {
// Returns the specified GPU cluster.
//
// To get the list of available GPU clusters, make a [List] request.
rpc Get(GetGpuClusterRequest) returns (GpuCluster) {
option (google.api.http) = { get: "/compute/v1/gpuClusters/{gpu_cluster_id}" };
}
// Retrieves the list of GPU clusters in the specified folder.
rpc List(ListGpuClustersRequest) returns (ListGpuClustersResponse) {
option (google.api.http) = { get: "/compute/v1/gpuClusters" };
}
// Creates a GPU cluster in the specified folder.
rpc Create(CreateGpuClusterRequest) returns (operation.Operation) {
option (google.api.http) = { post: "/compute/v1/gpuClusters" body: "*" };
option (yandex.cloud.api.operation) = {
metadata : "CreateGpuClusterMetadata"
response : "GpuCluster"
};
}
// Updates the specified GPU cluster.
//
// Currently only name, description and labels can be updated.
rpc Update(UpdateGpuClusterRequest) returns (operation.Operation) {
option (google.api.http) = { patch: "/compute/v1/gpuClusters/{gpu_cluster_id}" body: "*" };
option (yandex.cloud.api.operation) = {
metadata : "UpdateGpuClusterMetadata"
response : "GpuCluster"
};
}
// Deletes the specified GPU cluster.
//
// GPU cluster can be deleted only if it doesn't have any instances associated with it.
rpc Delete(DeleteGpuClusterRequest) returns (operation.Operation) {
option (google.api.http) = { delete: "/compute/v1/gpuClusters/{gpu_cluster_id}" };
option (yandex.cloud.api.operation) = {
metadata : "DeleteGpuClusterMetadata"
response : "google.protobuf.Empty"
};
}
// Lists operations for the specified GPU cluster.
rpc ListOperations(ListGpuClusterOperationsRequest) returns (ListGpuClusterOperationsResponse) {
option (google.api.http) = { get: "/compute/v1/gpuClusters/{gpu_cluster_id}/operations" };
}
// List instances created in this GPU cluster.
rpc ListInstances(ListGpuClusterInstancesRequest) returns (ListGpuClusterInstancesResponse) {
option (google.api.http) = { get: "/compute/v1/gpuClusters/{gpu_cluster_id}/instances" };
}
// access
// Lists access bindings for the GPU cluster.
rpc ListAccessBindings (access.ListAccessBindingsRequest) returns (access.ListAccessBindingsResponse) {
option (google.api.http) = { get: "/compute/v1/gpuClusters/{resource_id}:listAccessBindings" };
}
// Sets access bindings for the GPU cluster.
rpc SetAccessBindings (access.SetAccessBindingsRequest) returns (operation.Operation) {
option (google.api.http) = { post: "/compute/v1/gpuClusters/{resource_id}:setAccessBindings" body: "*" };
option (yandex.cloud.api.operation) = {
metadata: "access.SetAccessBindingsMetadata"
response: "access.AccessBindingsOperationResult"
};
}
// Updates access bindings for the GPU cluster.
rpc UpdateAccessBindings (access.UpdateAccessBindingsRequest) returns (operation.Operation) {
option (google.api.http) = { post: "/compute/v1/gpuClusters/{resource_id}:updateAccessBindings" body: "*" };
option (yandex.cloud.api.operation) = {
metadata: "access.UpdateAccessBindingsMetadata"
response: "access.AccessBindingsOperationResult"
};
}
}
message GetGpuClusterRequest {
// ID of the GPU cluster to return.
//
// To get a GPU cluster ID, make a [GpuClusterService.List] request.
string gpu_cluster_id = 1;
}
message ListGpuClustersRequest {
// ID of the folder to list GPU clusters in.
//
// To get the folder ID, make a [yandex.cloud.resourcemanager.v1.FolderService.List] request.
string folder_id = 1 [(required) = true, (length) = "<=50"];
// The maximum number of results per page to return. If the number of available
// results is larger than `page_size`, the service returns a [ListGpuClustersResponse.next_page_token]
// that can be used to get the next page of results in subsequent list requests.
int64 page_size = 2 [(value) = "<=1000"];
// Page token. To get the next page of results, set `page_token` to the
// [ListGpuClustersResponse.next_page_token] returned by a previous list request.
string page_token = 3 [(length) = "<=100"];
// A filter expression that filters GPU clusters listed in the response.
//
// The expression must specify:
// 1. The field name. Currently you can use filtering only on [GpuCluster.name] field.
// 2. An operator. Can be either `=` or `!=` for single values, `IN` or `NOT IN` for lists of values.
// 3. The value. Must be 3-63 characters long and match the regular expression `^[a-z][-a-z0-9]{1,61}[a-z0-9]`.
// Example of a filter: `name=my-schedule`.
string filter = 4 [(length) = "<=1000"];
// A sorting expression that sorts GPU clusters listed in the response.
//
// The expression must specify the field name from [GpuCluster] and `asc`ending or `desc`ending order,
// e.g. `createdAt desc`.
//
// Default value: `id asc`.
string order_by = 5 [(length) = "<=100"];
}
message ListGpuClustersResponse {
// List of GPU clusters in the specified folder.
repeated GpuCluster gpu_clusters = 1;
// Token for getting the next page of the list. If the number of results is greater than
// the specified [ListGpuClustersRequest.page_size], use `next_page_token` as the value
// for the [ListGpuClustersRequest.page_token] parameter in the next list request.
//
// Each subsequent page will have its own `next_page_token` to continue paging through the results.
string next_page_token = 2;
}
message CreateGpuClusterRequest {
// ID of the folder to create a GPU cluster in.
//
// To get a folder ID, make a [yandex.cloud.resourcemanager.v1.FolderService.List] request.
string folder_id = 1;
// Name of the GPU cluster.
//
// The name must be unique within the folder.
string name = 2;
// Description of the GPU cluster.
string description = 3;
// GPU cluster labels as `key:value` pairs.
map<string, string> labels = 4;
// ID of the availability zone where the GPU cluster resides.
// To get a list of available zones use the [yandex.cloud.compute.v1.ZoneService.List] request.
string zone_id = 5;
// Type of interconnect to use for this GPU cluster.
GpuInterconnectType interconnect_type = 6;
}
message CreateGpuClusterMetadata {
// ID of the GPU cluster that is being created.
string gpu_cluster_id = 1;
}
message UpdateGpuClusterRequest {
// ID of the GPU cluster to update.
//
// To get the GPU cluster ID, make a [GpuClusterService.List] request.
string gpu_cluster_id = 1;
// Field mask that specifies which attributes of the GPU cluster should be updated.
google.protobuf.FieldMask update_mask = 2;
// New name for the GPU cluster.
//
// The name must be unique within the folder.
string name = 3;
// New description of the GPU cluster.
string description = 4;
// New GPU cluster labels as `key:value` pairs.
//
// Existing set of labels is completely replaced by the provided set, so if you just want
// to add or remove a label:
// 1. Get the current set of labels with a [GpuClusterService.Get] request.
// 2. Add or remove a label in this set.
// 3. Send the new set in this field.
map<string, string> labels = 5;
}
message UpdateGpuClusterMetadata {
// ID of the GPU cluster that is being updated.
string gpu_cluster_id = 1;
}
message DeleteGpuClusterRequest {
// ID of the GPU cluster to delete.
//
// To get a GPU cluster ID, make a [GpuClusterService.List] request.
string gpu_cluster_id = 1;
}
message DeleteGpuClusterMetadata {
// ID of the GPU cluster that is being deleted.
string gpu_cluster_id = 1;
}
message ListGpuClusterOperationsRequest {
// ID of the GPU cluster to list operations for.
//
// To get a GPU cluster ID, make a [GpuClusterService.List] request.
string gpu_cluster_id = 1;
// The maximum number of results per page to return. If the number of available
// results is larger than [page_size], the service returns a [ListGpuClusterOperationsResponse.next_page_token]
// that can be used to get the next page of results in subsequent list requests.
//
// Default value: 100.
int64 page_size = 2;
// Page token. To get the next page of results, set [page_token] to the
// [ListGpuClusterOperationsResponse.next_page_token] returned by a previous list request.
string page_token = 3;
}
message ListGpuClusterOperationsResponse {
// List of operations for the specified GPU cluster.
repeated operation.Operation operations = 1;
// Token for getting the next page of the list. If the number of results is greater than
// the specified [ListGpuClusterOperationsRequest.page_size], use `next_page_token` as the value
// for the [ListGpuClusterOperationsRequest.page_token] parameter in the next list request.
//
// Each subsequent page will have its own `next_page_token` to continue paging through the results.
string next_page_token = 2;
}
message ListGpuClusterInstancesRequest {
// ID of the GPU cluster to list instances in.
//
// To get a GPU cluster ID, make a [GpuClusterService.List] request.
string gpu_cluster_id = 1;
// The maximum number of results per page to return. If the number of available
// results is larger than [page_size], the service returns a [ListGpuClusterInstancesResponse.next_page_token]
// that can be used to get the next page of results in subsequent list requests.
//
// Default value: 100.
int64 page_size = 2;
// Page token. To get the next page of results, set [page_token] to the
// [ListGpuClusterInstancesResponse.next_page_token] returned by a previous list request.
string page_token = 3;
// A filter expression that filters resources listed in the response.
// Currently you can use filtering only on the [Instance.name] field.
string filter = 4;
}
message ListGpuClusterInstancesResponse {
// List of instances in the specified GPU cluster.
repeated Instance instances = 1;
// Token for getting the next page of the list. If the number of results is greater than
// the specified [ListGpuClusterInstancesRequest.page_size], use `next_page_token` as the value
// for the [ListGpuClusterInstancesRequest.page_token] parameter in the next list request.
//
// Each subsequent page will have its own `next_page_token` to continue paging through the results.
string next_page_token = 2;
}
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