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Showing content from https://github.com/aws/aws-sdk-js-v3/commit/0e1fe398e7943436e58a6af8d58e9e586c4ed6b0 below:

This release introduces compute quota for GPU… · aws/aws-sdk-js-v3@0e1fe39 · GitHub

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clients/client-sagemaker/src
codegen/sdk-codegen/aws-models

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+139

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lines changed Original file line number Diff line number Diff line change


 @@ -44,6 +44,9 @@ export interface CreateComputeQuotaCommandOutput extends CreateComputeQuotaRespo

44 44


  * { // ComputeQuotaResourceConfig

45 45


  * InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.p6-b200.48xlarge" || "ml.trn2.48xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.i3en.large" || "ml.i3en.xlarge" || "ml.i3en.2xlarge" || "ml.i3en.3xlarge" || "ml.i3en.6xlarge" || "ml.i3en.12xlarge" || "ml.i3en.24xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge", // required

46 46


  * Count: Number("int"),

47

+
  * Accelerators: Number("int"),

48

+
  * VCpu: Number("float"),

49

+
  * MemoryInGiB: Number("float"),

47 50


  * },

48 51


  * ],

49 52


  * ResourceSharingConfig: { // ResourceSharingConfig

Original file line number Diff line number Diff line change


 @@ -55,6 +55,9 @@ export interface DescribeComputeQuotaCommandOutput extends DescribeComputeQuotaR

55 55


  * // { // ComputeQuotaResourceConfig

56 56


  * // InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.p6-b200.48xlarge" || "ml.trn2.48xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.i3en.large" || "ml.i3en.xlarge" || "ml.i3en.2xlarge" || "ml.i3en.3xlarge" || "ml.i3en.6xlarge" || "ml.i3en.12xlarge" || "ml.i3en.24xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge", // required

57 57


  * // Count: Number("int"),

58

+
  * // Accelerators: Number("int"),

59

+
  * // VCpu: Number("float"),

60

+
  * // MemoryInGiB: Number("float"),

58 61


  * // },

59 62


  * // ],

60 63


  * // ResourceSharingConfig: { // ResourceSharingConfig

Original file line number Diff line number Diff line change


 @@ -62,6 +62,9 @@ export interface ListComputeQuotasCommandOutput extends ListComputeQuotasRespons

62 62


  * // { // ComputeQuotaResourceConfig

63 63


  * // InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.p6-b200.48xlarge" || "ml.trn2.48xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.i3en.large" || "ml.i3en.xlarge" || "ml.i3en.2xlarge" || "ml.i3en.3xlarge" || "ml.i3en.6xlarge" || "ml.i3en.12xlarge" || "ml.i3en.24xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge", // required

64 64


  * // Count: Number("int"),

65

+
  * // Accelerators: Number("int"),

66

+
  * // VCpu: Number("float"),

67

+
  * // MemoryInGiB: Number("float"),

65 68


  * // },

66 69


  * // ],

67 70


  * // ResourceSharingConfig: { // ResourceSharingConfig

Original file line number Diff line number Diff line change


 @@ -43,6 +43,9 @@ export interface UpdateComputeQuotaCommandOutput extends UpdateComputeQuotaRespo

43 43


  * { // ComputeQuotaResourceConfig

44 44


  * InstanceType: "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.12xlarge" || "ml.c5.18xlarge" || "ml.c5.24xlarge" || "ml.c5n.large" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.8xlarge" || "ml.m5.12xlarge" || "ml.m5.16xlarge" || "ml.m5.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.g6.xlarge" || "ml.g6.2xlarge" || "ml.g6.4xlarge" || "ml.g6.8xlarge" || "ml.g6.16xlarge" || "ml.g6.12xlarge" || "ml.g6.24xlarge" || "ml.g6.48xlarge" || "ml.gr6.4xlarge" || "ml.gr6.8xlarge" || "ml.g6e.xlarge" || "ml.g6e.2xlarge" || "ml.g6e.4xlarge" || "ml.g6e.8xlarge" || "ml.g6e.16xlarge" || "ml.g6e.12xlarge" || "ml.g6e.24xlarge" || "ml.g6e.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.p6-b200.48xlarge" || "ml.trn2.48xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.r6i.large" || "ml.r6i.xlarge" || "ml.r6i.2xlarge" || "ml.r6i.4xlarge" || "ml.r6i.8xlarge" || "ml.r6i.12xlarge" || "ml.r6i.16xlarge" || "ml.r6i.24xlarge" || "ml.r6i.32xlarge" || "ml.i3en.large" || "ml.i3en.xlarge" || "ml.i3en.2xlarge" || "ml.i3en.3xlarge" || "ml.i3en.6xlarge" || "ml.i3en.12xlarge" || "ml.i3en.24xlarge" || "ml.m7i.large" || "ml.m7i.xlarge" || "ml.m7i.2xlarge" || "ml.m7i.4xlarge" || "ml.m7i.8xlarge" || "ml.m7i.12xlarge" || "ml.m7i.16xlarge" || "ml.m7i.24xlarge" || "ml.m7i.48xlarge" || "ml.r7i.large" || "ml.r7i.xlarge" || "ml.r7i.2xlarge" || "ml.r7i.4xlarge" || "ml.r7i.8xlarge" || "ml.r7i.12xlarge" || "ml.r7i.16xlarge" || "ml.r7i.24xlarge" || "ml.r7i.48xlarge", // required

45 45


  * Count: Number("int"),

46

+
  * Accelerators: Number("int"),

47

+
  * VCpu: Number("float"),

48

+
  * MemoryInGiB: Number("float"),

46 49


  * },

47 50


  * ],

48 51


  * ResourceSharingConfig: { // ResourceSharingConfig

Original file line number Diff line number Diff line change


 @@ -706,6 +706,24 @@ export interface ComputeQuotaResourceConfig {

706 706


  * @public

707 707

*/

708 708


 Count?: number | undefined;

709 + 710

+
 /**

711

+
  * <p>The number of accelerators to allocate. If you don't specify a value for vCPU and MemoryInGiB, SageMaker AI automatically allocates ratio-based values for those parameters based on the number of accelerators you provide. For example, if you allocate 16 out of 32 total accelerators, SageMaker AI uses the ratio of 0.5 and allocates values to vCPU and MemoryInGiB.</p>

712

+
  * @public

713

+
  */

714

+
 Accelerators?: number | undefined;

715 + 716

+
 /**

717

+
  * <p>The number of vCPU to allocate. If you specify a value only for vCPU, SageMaker AI automatically allocates ratio-based values for MemoryInGiB based on this vCPU parameter. For example, if you allocate 20 out of 40 total vCPU, SageMaker AI uses the ratio of 0.5 and allocates values to MemoryInGiB. Accelerators are set to 0.</p>

718

+
  * @public

719

+
  */

720

+
 VCpu?: number | undefined;

721 + 722

+
 /**

723

+
  * <p>The amount of memory in GiB to allocate. If you specify a value only for this parameter, SageMaker AI automatically allocates a ratio-based value for vCPU based on this memory that you provide. For example, if you allocate 200 out of 400 total memory in GiB, SageMaker AI uses the ratio of 0.5 and allocates values to vCPU. Accelerators are set to 0.</p>

724

+
  * @public

725

+
  */

726

+
 MemoryInGiB?: number | undefined;

709 727

710 728 711 729

/**

Original file line number Diff line number Diff line change


 @@ -2642,7 +2642,7 @@ export const se_CreateComputeQuotaCommand = async (

2642 2642


 ): Promise<__HttpRequest> => {

2643 2643


 const headers: __HeaderBag = sharedHeaders("CreateComputeQuota");

2644 2644


 let body: any;

2645

-
 body = JSON.stringify(_json(input));

2645

+
 body = JSON.stringify(se_CreateComputeQuotaRequest(input, context));

2646 2646


 return buildHttpRpcRequest(context, headers, "/", undefined, body);

2647 2647

};

2648 2648


 @@ -6721,7 +6721,7 @@ export const se_UpdateComputeQuotaCommand = async (

6721 6721


 ): Promise<__HttpRequest> => {

6722 6722


 const headers: __HeaderBag = sharedHeaders("UpdateComputeQuota");

6723 6723


 let body: any;

6724

-
 body = JSON.stringify(_json(input));

6724

+
 body = JSON.stringify(se_UpdateComputeQuotaRequest(input, context));

6725 6725


 return buildHttpRpcRequest(context, headers, "/", undefined, body);

6726 6726

};

6727 6727


 @@ -14775,11 +14775,40 @@ const se_BatchTransformInput = (input: BatchTransformInput, context: __SerdeCont

14775 14775 14776 14776


 // se_CompressionTypes omitted.

14777 14777 14778

-
 // se_ComputeQuotaConfig omitted.

14778

+
 /**

14779

+
 * serializeAws_json1_1ComputeQuotaConfig

14780

+
 */

14781

+
 const se_ComputeQuotaConfig = (input: ComputeQuotaConfig, context: __SerdeContext): any => {

14782

+
 return take(input, {

14783

+
 ComputeQuotaResources: (_) => se_ComputeQuotaResourceConfigList(_, context),

14784

+
 PreemptTeamTasks: [],

14785

+
 ResourceSharingConfig: _json,

14786

+
 });

14787

+
 };

14779 14788 14780

-
 // se_ComputeQuotaResourceConfig omitted.

14789

+
 /**

14790

+
 * serializeAws_json1_1ComputeQuotaResourceConfig

14791

+
 */

14792

+
 const se_ComputeQuotaResourceConfig = (input: ComputeQuotaResourceConfig, context: __SerdeContext): any => {

14793

+
 return take(input, {

14794

+
 Accelerators: [],

14795

+
 Count: [],

14796

+
 InstanceType: [],

14797

+
 MemoryInGiB: __serializeFloat,

14798

+
 VCpu: __serializeFloat,

14799

+
 });

14800

+
 };

14781 14801 14782

-
 // se_ComputeQuotaResourceConfigList omitted.

14802

+
 /**

14803

+
 * serializeAws_json1_1ComputeQuotaResourceConfigList

14804

+
 */

14805

+
 const se_ComputeQuotaResourceConfigList = (input: ComputeQuotaResourceConfig[], context: __SerdeContext): any => {

14806

+
 return input

14807

+
 .filter((e: any) => e != null)

14808

+
 .map((entry) => {

14809

+
 return se_ComputeQuotaResourceConfig(entry, context);

14810

+
 });

14811

+
 };

14783 14812 14784 14813


 // se_ComputeQuotaTarget omitted.

14785 14814


 @@ -14862,7 +14891,20 @@ const se_CreateAutoMLJobV2Request = (input: CreateAutoMLJobV2Request, context: _

14862 14891 14863 14892


 // se_CreateCompilationJobRequest omitted.

14864 14893 14865

-
 // se_CreateComputeQuotaRequest omitted.

14894

+
 /**

14895

+
 * serializeAws_json1_1CreateComputeQuotaRequest

14896

+
 */

14897

+
 const se_CreateComputeQuotaRequest = (input: CreateComputeQuotaRequest, context: __SerdeContext): any => {

14898

+
 return take(input, {

14899

+
 ActivationState: [],

14900

+
 ClusterArn: [],

14901

+
 ComputeQuotaConfig: (_) => se_ComputeQuotaConfig(_, context),

14902

+
 ComputeQuotaTarget: _json,

14903

+
 Description: [],

14904

+
 Name: [],

14905

+
 Tags: _json,

14906

+
 });

14907

+
 };

14866 14908 14867 14909


 // se_CreateContextRequest omitted.

14868 14910


 @@ -18064,7 +18106,19 @@ const se_TuningJobCompletionCriteria = (input: TuningJobCompletionCriteria, cont

18064 18106 18065 18107


 // se_UpdateCodeRepositoryInput omitted.

18066 18108 18067

-
 // se_UpdateComputeQuotaRequest omitted.

18109

+
 /**

18110

+
 * serializeAws_json1_1UpdateComputeQuotaRequest

18111

+
 */

18112

+
 const se_UpdateComputeQuotaRequest = (input: UpdateComputeQuotaRequest, context: __SerdeContext): any => {

18113

+
 return take(input, {

18114

+
 ActivationState: [],

18115

+
 ComputeQuotaConfig: (_) => se_ComputeQuotaConfig(_, context),

18116

+
 ComputeQuotaId: [],

18117

+
 ComputeQuotaTarget: _json,

18118

+
 Description: [],

18119

+
 TargetVersion: [],

18120

+
 });

18121

+
 };

18068 18122 18069 18123


 // se_UpdateContextRequest omitted.

18070 18124


 @@ -20557,8 +20611,11 @@ const de_ComputeQuotaConfig = (output: any, context: __SerdeContext): ComputeQuo

20557 20611

*/

20558 20612


 const de_ComputeQuotaResourceConfig = (output: any, context: __SerdeContext): ComputeQuotaResourceConfig => {

20559 20613


 return take(output, {

20614

+
 Accelerators: __expectInt32,

20560 20615


 Count: __expectInt32,

20561 20616


 InstanceType: __expectString,

20617

+
 MemoryInGiB: __limitedParseFloat32,

20618

+
 VCpu: __limitedParseFloat32,

20562 20619


 }) as any;

20563 20620

};

20564 20621 Original file line number Diff line number Diff line change


 @@ -1,6 +1,15 @@

1 1

2 2


 "smithy": "2.0",

3 3


 "shapes": {

4

+
 "com.amazonaws.sagemaker#AcceleratorsAmount": {

5

+
 "type": "integer",

6

+
 "traits": {

7

+
 "smithy.api#range": {

8

+
 "min": 0,

9

+
 "max": 10000000

10

+
 }

11

+
 }

12

+
 },

4 13


 "com.amazonaws.sagemaker#Accept": {

5 14


 "type": "string",

6 15


 "traits": {


 @@ -10317,6 +10326,24 @@

10317 10326


 "traits": {

10318 10327


 "smithy.api#documentation": "<p>The number of instances to add to the instance group of a SageMaker HyperPod cluster.</p>"

10319 10328

10329

+
 },

10330

+
 "Accelerators": {

10331

+
 "target": "com.amazonaws.sagemaker#AcceleratorsAmount",

10332

+
 "traits": {

10333

+
 "smithy.api#documentation": "<p>The number of accelerators to allocate. If you don't specify a value for vCPU and MemoryInGiB, SageMaker AI automatically allocates ratio-based values for those parameters based on the number of accelerators you provide. For example, if you allocate 16 out of 32 total accelerators, SageMaker AI uses the ratio of 0.5 and allocates values to vCPU and MemoryInGiB.</p>"

10334

+
 }

10335

+
 },

10336

+
 "VCpu": {

10337

+
 "target": "com.amazonaws.sagemaker#VCpuAmount",

10338

+
 "traits": {

10339

+
 "smithy.api#documentation": "<p>The number of vCPU to allocate. If you specify a value only for vCPU, SageMaker AI automatically allocates ratio-based values for MemoryInGiB based on this vCPU parameter. For example, if you allocate 20 out of 40 total vCPU, SageMaker AI uses the ratio of 0.5 and allocates values to MemoryInGiB. Accelerators are set to 0.</p>"

10340

+
 }

10341

+
 },

10342

+
 "MemoryInGiB": {

10343

+
 "target": "com.amazonaws.sagemaker#MemoryInGiBAmount",

10344

+
 "traits": {

10345

+
 "smithy.api#documentation": "<p>The amount of memory in GiB to allocate. If you specify a value only for this parameter, SageMaker AI automatically allocates a ratio-based value for vCPU based on this memory that you provide. For example, if you allocate 200 out of 400 total memory in GiB, SageMaker AI uses the ratio of 0.5 and allocates values to vCPU. Accelerators are set to 0.</p>"

10346

+
 }

10320 10347

10321 10348

},

10322 10349


 "traits": {


 @@ -49831,6 +49858,15 @@

49831 49858

49832 49859

49833 49860

},

49861

+
 "com.amazonaws.sagemaker#MemoryInGiBAmount": {

49862

+
 "type": "float",

49863

+
 "traits": {

49864

+
 "smithy.api#range": {

49865

+
 "min": 0,

49866

+
 "max": 10000000

49867

+
 }

49868

+
 }

49869

+
 },

49834 49870


 "com.amazonaws.sagemaker#MemoryInMb": {

49835 49871


 "type": "integer",

49836 49872


 "traits": {


 @@ -80502,6 +80538,15 @@

80502 80538

80503 80539

80504 80540

},

80541

+
 "com.amazonaws.sagemaker#VCpuAmount": {

80542

+
 "type": "float",

80543

+
 "traits": {

80544

+
 "smithy.api#range": {

80545

+
 "min": 0,

80546

+
 "max": 10000000

80547

+
 }

80548

+
 }

80549

+
 },

80505 80550


 "com.amazonaws.sagemaker#ValidationFraction": {

80506 80551


 "type": "float",

80507 80552


 "traits": {

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