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• ModelContainer.java

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com.pulumi.aws.sagemaker.outputs.ModelContainer Maven / Gradle / Ivy

// *** WARNING: this file was generated by pulumi-java-gen. ***
// *** Do not edit by hand unless you're certain you know what you are doing! ***

package com.pulumi.aws.sagemaker.outputs;

import com.pulumi.aws.sagemaker.outputs.ModelContainerImageConfig;
import com.pulumi.aws.sagemaker.outputs.ModelContainerModelDataSource;
import com.pulumi.aws.sagemaker.outputs.ModelContainerMultiModelConfig;
import com.pulumi.core.annotations.CustomType;
import java.lang.String;
import java.util.Map;
import java.util.Objects;
import java.util.Optional;
import javax.annotation.Nullable;

@CustomType
public final class ModelContainer {
    /**
     * @return The DNS host name for the container.
     * 
     */
    private @Nullable String containerHostname;
    /**
     * @return Environment variables for the Docker container.
     * A list of key value pairs.
     * 
     */
    private @Nullable Map environment;
    /**
     * @return The registry path where the inference code image is stored in Amazon ECR.
     * 
     */
    private @Nullable String image;
    /**
     * @return Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For more information see [Using a Private Docker Registry for Real-Time Inference Containers](https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-containers-inference-private.html). see Image Config.
     * 
     */
    private @Nullable ModelContainerImageConfig imageConfig;
    /**
     * @return The inference specification name in the model package version.
     * 
     */
    private @Nullable String inferenceSpecificationName;
    /**
     * @return The container hosts value `SingleModel/MultiModel`. The default value is `SingleModel`.
     * 
     */
    private @Nullable String mode;
    /**
     * @return The location of model data to deploy. Use this for uncompressed model deployment. For information about how to deploy an uncompressed model, see [Deploying uncompressed models](https://docs.aws.amazon.com/sagemaker/latest/dg/large-model-inference-uncompressed.html) in the _AWS SageMaker Developer Guide_.
     * 
     */
    private @Nullable ModelContainerModelDataSource modelDataSource;
    /**
     * @return The URL for the S3 location where model artifacts are stored.
     * 
     */
    private @Nullable String modelDataUrl;
    /**
     * @return The Amazon Resource Name (ARN) of the model package to use to create the model.
     * 
     */
    private @Nullable String modelPackageName;
    /**
     * @return Specifies additional configuration for multi-model endpoints. see Multi Model Config.
     * 
     */
    private @Nullable ModelContainerMultiModelConfig multiModelConfig;

    private ModelContainer() {}
    /**
     * @return The DNS host name for the container.
     * 
     */
    public Optional containerHostname() {
        return Optional.ofNullable(this.containerHostname);
    }
    /**
     * @return Environment variables for the Docker container.
     * A list of key value pairs.
     * 
     */
    public Map environment() {
        return this.environment == null ? Map.of() : this.environment;
    }
    /**
     * @return The registry path where the inference code image is stored in Amazon ECR.
     * 
     */
    public Optional image() {
        return Optional.ofNullable(this.image);
    }
    /**
     * @return Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For more information see [Using a Private Docker Registry for Real-Time Inference Containers](https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-containers-inference-private.html). see Image Config.
     * 
     */
    public Optional imageConfig() {
        return Optional.ofNullable(this.imageConfig);
    }
    /**
     * @return The inference specification name in the model package version.
     * 
     */
    public Optional inferenceSpecificationName() {
        return Optional.ofNullable(this.inferenceSpecificationName);
    }
    /**
     * @return The container hosts value `SingleModel/MultiModel`. The default value is `SingleModel`.
     * 
     */
    public Optional mode() {
        return Optional.ofNullable(this.mode);
    }
    /**
     * @return The location of model data to deploy. Use this for uncompressed model deployment. For information about how to deploy an uncompressed model, see [Deploying uncompressed models](https://docs.aws.amazon.com/sagemaker/latest/dg/large-model-inference-uncompressed.html) in the _AWS SageMaker Developer Guide_.
     * 
     */
    public Optional modelDataSource() {
        return Optional.ofNullable(this.modelDataSource);
    }
    /**
     * @return The URL for the S3 location where model artifacts are stored.
     * 
     */
    public Optional modelDataUrl() {
        return Optional.ofNullable(this.modelDataUrl);
    }
    /**
     * @return The Amazon Resource Name (ARN) of the model package to use to create the model.
     * 
     */
    public Optional modelPackageName() {
        return Optional.ofNullable(this.modelPackageName);
    }
    /**
     * @return Specifies additional configuration for multi-model endpoints. see Multi Model Config.
     * 
     */
    public Optional multiModelConfig() {
        return Optional.ofNullable(this.multiModelConfig);
    }

    public static Builder builder() {
        return new Builder();
    }

    public static Builder builder(ModelContainer defaults) {
        return new Builder(defaults);
    }
    @CustomType.Builder
    public static final class Builder {
        private @Nullable String containerHostname;
        private @Nullable Map environment;
        private @Nullable String image;
        private @Nullable ModelContainerImageConfig imageConfig;
        private @Nullable String inferenceSpecificationName;
        private @Nullable String mode;
        private @Nullable ModelContainerModelDataSource modelDataSource;
        private @Nullable String modelDataUrl;
        private @Nullable String modelPackageName;
        private @Nullable ModelContainerMultiModelConfig multiModelConfig;
        public Builder() {}
        public Builder(ModelContainer defaults) {
    	      Objects.requireNonNull(defaults);
    	      this.containerHostname = defaults.containerHostname;
    	      this.environment = defaults.environment;
    	      this.image = defaults.image;
    	      this.imageConfig = defaults.imageConfig;
    	      this.inferenceSpecificationName = defaults.inferenceSpecificationName;
    	      this.mode = defaults.mode;
    	      this.modelDataSource = defaults.modelDataSource;
    	      this.modelDataUrl = defaults.modelDataUrl;
    	      this.modelPackageName = defaults.modelPackageName;
    	      this.multiModelConfig = defaults.multiModelConfig;
        }

        @CustomType.Setter
        public Builder containerHostname(@Nullable String containerHostname) {

            this.containerHostname = containerHostname;
            return this;
        }
        @CustomType.Setter
        public Builder environment(@Nullable Map environment) {

            this.environment = environment;
            return this;
        }
        @CustomType.Setter
        public Builder image(@Nullable String image) {

            this.image = image;
            return this;
        }
        @CustomType.Setter
        public Builder imageConfig(@Nullable ModelContainerImageConfig imageConfig) {

            this.imageConfig = imageConfig;
            return this;
        }
        @CustomType.Setter
        public Builder inferenceSpecificationName(@Nullable String inferenceSpecificationName) {

            this.inferenceSpecificationName = inferenceSpecificationName;
            return this;
        }
        @CustomType.Setter
        public Builder mode(@Nullable String mode) {

            this.mode = mode;
            return this;
        }
        @CustomType.Setter
        public Builder modelDataSource(@Nullable ModelContainerModelDataSource modelDataSource) {

            this.modelDataSource = modelDataSource;
            return this;
        }
        @CustomType.Setter
        public Builder modelDataUrl(@Nullable String modelDataUrl) {

            this.modelDataUrl = modelDataUrl;
            return this;
        }
        @CustomType.Setter
        public Builder modelPackageName(@Nullable String modelPackageName) {

            this.modelPackageName = modelPackageName;
            return this;
        }
        @CustomType.Setter
        public Builder multiModelConfig(@Nullable ModelContainerMultiModelConfig multiModelConfig) {

            this.multiModelConfig = multiModelConfig;
            return this;
        }
        public ModelContainer build() {
            final var _resultValue = new ModelContainer();
            _resultValue.containerHostname = containerHostname;
            _resultValue.environment = environment;
            _resultValue.image = image;
            _resultValue.imageConfig = imageConfig;
            _resultValue.inferenceSpecificationName = inferenceSpecificationName;
            _resultValue.mode = mode;
            _resultValue.modelDataSource = modelDataSource;
            _resultValue.modelDataUrl = modelDataUrl;
            _resultValue.modelPackageName = modelPackageName;
            _resultValue.multiModelConfig = multiModelConfig;
            return _resultValue;
        }
    }
}