Amazon SageMaker Service Update: SageMaker Neo now supports data input shape derivation for Pytorch 2.0 and XGBoost compilation job for cloud instance targets. You can skip DataInputConfig field during compilation job creation. You can also access derived information from model in DescribeCompilationJob response.

Author: AWS

.changes/next-release/feature-AmazonSageMakerService-4c34b88.json

@@ -0,0 +1,6 @@
+{
+    "type": "feature",
+    "category": "Amazon SageMaker Service",
+    "contributor": "",
+    "description": "SageMaker Neo now supports data input shape derivation for Pytorch 2.0 and XGBoost compilation job for cloud instance targets. You can skip DataInputConfig field during compilation job creation. You can also access derived information from model in DescribeCompilationJob response."
+}

services/sagemaker/src/main/resources/codegen-resources/service-2.json

@@ -10852,6 +10852,16 @@
         }
       }
     },
+    "DerivedInformation":{
+      "type":"structure",
+      "members":{
+        "DerivedDataInputConfig":{
+          "shape":"DataInputConfig",
+          "documentation":"<p>The data input configuration that SageMaker Neo automatically derived for the model. When SageMaker Neo derives this information, you don't need to specify the data input configuration when you create a compilation job.</p>"
+        }
+      },
+      "documentation":"<p>Information that SageMaker Neo automatically derived about the model.</p>"
+    },
     "DescribeActionRequest":{
       "type":"structure",
       "required":["ActionName"],
@@ -11500,6 +11510,10 @@
         "VpcConfig":{
           "shape":"NeoVpcConfig",
           "documentation":"<p>A <a href=\"https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_VpcConfig.html\">VpcConfig</a> object that specifies the VPC that you want your compilation job to connect to. Control access to your models by configuring the VPC. For more information, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/neo-vpc.html\">Protect Compilation Jobs by Using an Amazon Virtual Private Cloud</a>.</p>"
+        },
+        "DerivedInformation":{
+          "shape":"DerivedInformation",
+          "documentation":"<p>Information that SageMaker Neo automatically derived about the model.</p>"
         }
       }
     },
@@ -19173,7 +19187,6 @@
       "type":"structure",
       "required":[
         "S3Uri",
-        "DataInputConfig",
         "Framework"
       ],
       "members":{
@@ -24767,7 +24780,7 @@
       "members":{
         "Percentile":{
           "shape":"String64",
-          "documentation":"<p>The model latency percentile threshold. For custom load tests, specify the value as <code>P95</code>.</p>"
+          "documentation":"<p>The model latency percentile threshold. Acceptable values are <code>P95</code> and <code>P99</code>. For custom load tests, specify the value as <code>P95</code>.</p>"
         },
         "ValueInMilliseconds":{
           "shape":"Integer",