Correction of docs for "Added support for ml.trn1.32xlarge instance type in Reserved Capacity Offering"

Author: aws-sdk-dotnet-automation

generator/ServiceModels/sagemaker/sagemaker-2017-07-24.docs.json

@@ -2835,7 +2835,7 @@
         "DeployedImage$SpecifiedImage": "<p>The image path you specified when you created the model.</p>",
         "DeployedImage$ResolvedImage": "<p>The specific digest path of the image hosted in this <code>ProductionVariant</code>.</p>",
         "InferenceComponentContainerSpecification$Image": "<p>The Amazon Elastic Container Registry (Amazon ECR) path where the Docker image for the model is stored.</p>",
-        "ModelPackageContainerDefinition$Image": "<p>The Amazon EC2 Container Registry path where inference code is stored.</p> <p>If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both <code>registry/repository[:tag]</code> and <code>registry/repository[@digest]</code> image path formats. For more information, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html\">Using Your Own Algorithms with Amazon SageMaker</a>.</p>",
+        "ModelPackageContainerDefinition$Image": "<p>The Amazon Elastic Container Registry (Amazon ECR) path where inference code is stored.</p> <p>If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both <code>registry/repository[:tag]</code> and <code>registry/repository[@digest]</code> image path formats. For more information, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html\">Using Your Own Algorithms with Amazon SageMaker</a>.</p>",
         "TrainingSpecification$TrainingImage": "<p>The Amazon ECR registry path of the Docker image that contains the training algorithm.</p>"
       }
     },

generator/ServiceModels/sagemaker/sagemaker-2017-07-24.normal.json

@@ -29903,7 +29903,7 @@
         },
         "Image":{
           "shape":"ContainerImage",
-          "documentation":"<p>The Amazon EC2 Container Registry path where inference code is stored.</p> <p>If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both <code>registry/repository[:tag]</code> and <code>registry/repository[@digest]</code> image path formats. For more information, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html\">Using Your Own Algorithms with Amazon SageMaker</a>.</p>"
+          "documentation":"<p>The Amazon Elastic Container Registry (Amazon ECR) path where inference code is stored.</p> <p>If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both <code>registry/repository[:tag]</code> and <code>registry/repository[@digest]</code> image path formats. For more information, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html\">Using Your Own Algorithms with Amazon SageMaker</a>.</p>"
         },
         "ImageDigest":{
           "shape":"ImageDigest",

sdk/src/Services/SageMaker/Generated/Model/ModelPackageContainerDefinition.cs

@@ -147,7 +147,7 @@ internal bool IsSetFrameworkVersion()
         /// <summary>
         /// Gets and sets the property Image. 
         /// <para>
-        /// The Amazon EC2 Container Registry path where inference code is stored.
+        /// The Amazon Elastic Container Registry (Amazon ECR) path where inference code is stored.
         /// </para>
         ///  
         /// <para>