aws-cdk-neuronx-patterns
Version:
> [!WARNING] > This library is experimental module.
95 lines • 18.9 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.SageMakerInferenceToolkitTnxCompiler = exports.SageMakerInferenceToolkitTnxCompileImage = void 0;
const aws_ecs_1 = require("aws-cdk-lib/aws-ecs");
const constructs_1 = require("constructs");
const path_1 = require("path");
const neuronx_1 = require("../base/neuronx");
const neuronx_compiler_1 = require("../base/neuronx-compiler");
/**
* Compile image for SageMakerInferenceToolkitTnxCompile.
* @example
* new SageMakerInferenceToolkitTnxCompileImage(PytorchTrainingNeuronxImage.LATEST);
*/
class SageMakerInferenceToolkitTnxCompileImage {
constructor(neruonxImage) {
this.image = aws_ecs_1.ContainerImage.fromAsset((0, path_1.join)(__dirname, "../../scripts/compile/sagemaker-inference-toolkit-tnx"), {
buildArgs: {
IMAGE_NAME: neruonxImage.imageName,
IMAGE_TAG: neruonxImage.imageTag,
},
});
this.sdkVersion = neruonxImage.sdkVersion;
}
}
exports.SageMakerInferenceToolkitTnxCompileImage = SageMakerInferenceToolkitTnxCompileImage;
/**
* Neuronx compile construct. Compile the model to work with Inferentia2 and Trainium1 and upload it to an S3 bucket.
*/
class SageMakerInferenceToolkitTnxCompiler extends constructs_1.Construct {
constructor(scope, id, props) {
super(scope, id);
const optLevel = props.compileOptions?.optLevel ?? neuronx_1.OptLevel.BEST_BALANCE;
const batchSize = props.compileOptions?.batchSize ?? 1;
const nPositions = props.compileOptions?.nPositions ?? 4096;
const quantDtype = props.compileOptions?.quantDtype;
const memoryFootprint = props.model.options.config
? (0, neuronx_1.calcMemoryFootprint)(props.model.options.config.embeddingDimension, props.model.options.config.layers, neuronx_1.DataTypeBits.BF16_OR_FP16, nPositions, batchSize)
: (0, neuronx_1.inferMemoryFootprintFromParameters)(props.model.options.parameters, nPositions, batchSize);
const neuronxInstanceTypes = props.neuronxInstanceType
? [props.neuronxInstanceType]
: [
neuronx_1.NeuronxInstanceType.INF2_8XLARGE,
neuronx_1.NeuronxInstanceType.INF2_24XLARGE,
neuronx_1.NeuronxInstanceType.INF2_48XLARGE,
];
const availableInstancePatterns = neuronxInstanceTypes
.flatMap((neuronxInstanceType) => (0, neuronx_1.calcTensorParallel)(neuronxInstanceType, memoryFootprint, props.model.options.config?.attentionHeads).map((v) => ({
neuronxInstanceType,
...v,
})))
.filter((pattern) => !props.compileOptions?.tpDegree ||
pattern.tp === props.compileOptions.tpDegree);
if (availableInstancePatterns.length === 0) {
throw new Error(`No available instance type. You can use tpDegree are ${availableInstancePatterns.map((p) => p.tp).join(", ")}.`);
}
const tpDegree = availableInstancePatterns[0].tp;
const image = props.image ??
new SageMakerInferenceToolkitTnxCompileImage(neuronx_1.PytorchTrainingNeuronxImage.LATEST);
let compiledArtifactPathPrefix = `${props.model.modelId}/neuronx-${image.sdkVersion}/tp${tpDegree}-np${nPositions}-opt${optLevel}`;
if (quantDtype) {
compiledArtifactPathPrefix = `${compiledArtifactPathPrefix}-quant${quantDtype}`;
}
const compiler = new neuronx_compiler_1.NeuronxCompiler(this, "Resource", {
...props,
neuronxInstanceType: availableInstancePatterns[0].neuronxInstanceType,
artifactS3Prefix: "test",
image: image,
environment: {
MODEL_ID: props.model.modelId,
TP_DEGREE: tpDegree.toString(),
N_POSITIONS: nPositions.toString(),
OPT_LEVEL: optLevel.toString(),
QUANT_DTYPE: quantDtype?.toString() ?? "",
ARTIFACT_S3_URL: props.bucket.s3UrlForObject(compiledArtifactPathPrefix),
},
});
this.tpDegree = tpDegree;
this.nPositions = nPositions;
this.quantDtype = quantDtype;
this.optLevel = optLevel;
this.model = props.model;
this.compiler = compiler;
}
compile() {
return {
...this.compiler.compile(),
tpDegree: this.tpDegree,
optLevel: this.optLevel,
nPositions: this.nPositions,
quantDtype: this.quantDtype,
};
}
}
exports.SageMakerInferenceToolkitTnxCompiler = SageMakerInferenceToolkitTnxCompiler;
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calc from parameters and quantDtype\n   */\n  readonly tpDegree?: number;\n  /**\n   * Maximum number of sequences per iteration.\n   * @default 1\n   */\n  readonly batchSize?: number;\n  /**\n   * @default - No quant\n   */\n  readonly quantDtype?: QuantDtype;\n  /**\n   * @default 4096\n   */\n  readonly nPositions?: number;\n  /**\n   * @default OptLevel.BEST_BALANCE\n   */\n  readonly optLevel?: OptLevel;\n}\n\n/**\n * The model compiled by Neuronx compiler.\n */\nexport interface SageMakerInferenceToolkitTnxCompiledModel\n  extends NeuronxCompiledModel {\n  readonly quantDtype?: QuantDtype;\n  readonly optLevel?: OptLevel;\n  readonly tpDegree: number;\n  readonly nPositions: number;\n}\n\n/**\n * Compile image for SageMakerInferenceToolkitTnxCompile.\n * @example\n * new SageMakerInferenceToolkitTnxCompileImage(PytorchTrainingNeuronxImage.LATEST);\n */\nexport class SageMakerInferenceToolkitTnxCompileImage\n  implements INeuronxContainerImage\n{\n  readonly image: ContainerImage;\n  readonly sdkVersion: string;\n  constructor(neruonxImage: INeuronxImage) {\n    this.image = ContainerImage.fromAsset(\n      join(__dirname, \"../../scripts/compile/sagemaker-inference-toolkit-tnx\"),\n      {\n        buildArgs: {\n          IMAGE_NAME: neruonxImage.imageName,\n          IMAGE_TAG: neruonxImage.imageTag,\n        },\n      },\n    );\n    this.sdkVersion = neruonxImage.sdkVersion;\n  }\n}\n\n/**\n * Props of NeuronxCompile.\n */\nexport interface SageMakerInferenceToolkitTnxCompilerProps {\n  /**\n   * VPC in which this will launch compile worker instance.\n   */\n  readonly vpc: ec2.IVpc;\n  /**\n   * The bucket to upload compiled artifacts.\n   */\n  readonly bucket: IBucket;\n  /**\n   * The model to be compiled.\n   */\n  readonly model: Model;\n  /**\n   * The instance type of compile worker instance.\n   */\n  readonly neuronxInstanceType?: INeuronxInstanceType;\n  /**\n   * The root volume of worker instance.\n   * @default - N bilion parameters * 5GiB EBS\n   */\n  readonly volumeSize?: Size;\n  /**\n   * Compile runtime image.\n   * @default - latest image\n   */\n  readonly image?: SageMakerInferenceToolkitTnxCompileImage;\n  /**\n   * Neuronx compile options.\n   * @default - Each properties are set default.\n   */\n  readonly compileOptions?: SageMakerInferenceToolkitTnxCompileOptions;\n  /**\n   * Whether or not to use spot instances. Spot instances are less expensive EC2 instances that can be reclaimed by EC2 at any time; your job will be given two minutes of notice before reclamation.\n   *\n   * @default false\n   */\n  readonly spot?: boolean;\n  /**\n   * The VPC Subnets this Compute Environment will launch instances in.\n   *\n   * @default - new subnets will be created\n   */\n  readonly vpcSubnets?: ec2.SubnetSelection;\n}\n\n/**\n * Neuronx compile construct. Compile the model to work with Inferentia2 and Trainium1 and upload it to an S3 bucket.\n */\nexport class SageMakerInferenceToolkitTnxCompiler extends Construct {\n  readonly quantDtype?: QuantDtype;\n  readonly optLevel?: OptLevel;\n  readonly tpDegree: number;\n  readonly nPositions: number;\n  model: Model;\n  private readonly compiler: NeuronxCompiler;\n  constructor(\n    scope: Construct,\n    id: string,\n    props: SageMakerInferenceToolkitTnxCompilerProps,\n  ) {\n    super(scope, id);\n    const optLevel = props.compileOptions?.optLevel ?? OptLevel.BEST_BALANCE;\n    const batchSize = props.compileOptions?.batchSize ?? 1;\n    const nPositions = props.compileOptions?.nPositions ?? 4096;\n    const quantDtype = props.compileOptions?.quantDtype;\n    const memoryFootprint = props.model.options.config\n      ? calcMemoryFootprint(\n          props.model.options.config.embeddingDimension,\n          props.model.options.config.layers,\n          DataTypeBits.BF16_OR_FP16,\n          nPositions,\n          batchSize,\n        )\n      : inferMemoryFootprintFromParameters(\n          props.model.options.parameters,\n          nPositions,\n          batchSize,\n        );\n    const neuronxInstanceTypes = props.neuronxInstanceType\n      ? [props.neuronxInstanceType]\n      : [\n          NeuronxInstanceType.INF2_8XLARGE,\n          NeuronxInstanceType.INF2_24XLARGE,\n          NeuronxInstanceType.INF2_48XLARGE,\n        ];\n    const availableInstancePatterns = neuronxInstanceTypes\n      .flatMap((neuronxInstanceType) =>\n        calcTensorParallel(\n          neuronxInstanceType,\n          memoryFootprint,\n          props.model.options.config?.attentionHeads,\n        ).map((v) => ({\n          neuronxInstanceType,\n          ...v,\n        })),\n      )\n      .filter(\n        (pattern) =>\n          !props.compileOptions?.tpDegree ||\n          pattern.tp === props.compileOptions.tpDegree,\n      );\n    if (availableInstancePatterns.length === 0) {\n      throw new Error(\n        `No available instance type. You can use tpDegree are ${availableInstancePatterns.map((p) => p.tp).join(\", \")}.`,\n      );\n    }\n    const tpDegree = availableInstancePatterns[0].tp;\n    const image =\n      props.image ??\n      new SageMakerInferenceToolkitTnxCompileImage(\n        PytorchTrainingNeuronxImage.LATEST,\n      );\n    let compiledArtifactPathPrefix = `${props.model.modelId}/neuronx-${image.sdkVersion}/tp${tpDegree}-np${nPositions}-opt${optLevel}`;\n    if (quantDtype!!) {\n      compiledArtifactPathPrefix = `${compiledArtifactPathPrefix}-quant${quantDtype}`;\n    }\n    const compiler = new NeuronxCompiler(this, \"Resource\", {\n      ...props,\n      neuronxInstanceType: availableInstancePatterns[0].neuronxInstanceType,\n      artifactS3Prefix: \"test\",\n      image: image,\n      environment: {\n        MODEL_ID: props.model.modelId,\n        TP_DEGREE: tpDegree.toString(),\n        N_POSITIONS: nPositions.toString(),\n        OPT_LEVEL: optLevel.toString(),\n        QUANT_DTYPE: quantDtype?.toString() ?? \"\",\n        ARTIFACT_S3_URL: props.bucket.s3UrlForObject(\n          compiledArtifactPathPrefix,\n        ),\n      },\n    });\n    this.tpDegree = tpDegree;\n    this.nPositions = nPositions;\n    this.quantDtype = quantDtype;\n    this.optLevel = optLevel;\n    this.model = props.model;\n    this.compiler = compiler;\n  }\n  compile(): SageMakerInferenceToolkitTnxCompiledModel {\n    return {\n      ...this.compiler.compile(),\n      tpDegree: this.tpDegree,\n      optLevel: this.optLevel,\n      nPositions: this.nPositions,\n      quantDtype: this.quantDtype,\n    };\n  }\n}\n"]}