tensorflow inference 2.10.1 release

CHANGELOG.md

@@ -1,5 +1,63 @@
 # Changelog
 
+## v2.119.0 (2022-12-21)
+
+### Features
+
+ * add RandomSeed to support reproducible HPO
+ * Doc update for TableFormatEnum
+ * Add p4de to smddp supported instance types
+ * Add disable_profiler field in config and propagate changes
+ * Added doc update for dataset builder
+ * Add support for TF2.9.2 training images
+ * Add SageMaker Experiment
+ * Feature Store dataset builder, delete_record, get_record, list_feature_group
+ * Add OSU region to frameworks for DLC
+ * Algorithms Region Expansion OSU/DXB
+ * Add Neo image uri config for Pytorch 1.12
+ * Adding support for SageMaker Training Compiler in PyTorch estimator starting 1.12
+ * Update registries with new region account number mappings.
+ * Add DXB region to frameworks by DLC
+ * Add Code Owners file
+ * Added transform with monitoring pipeline step in transformer
+ * Update TF 2.9 and TF 2.10 inference DLCs
+ * make estimator accept json file as modelparallel config
+ * SageMaker Training Compiler does not support p4de instances
+ * Add support for SparkML v3.3
+
+### Bug Fixes and Other Changes
+
+ * Do not specify S3 path for disabled profiler
+ * Correct SageMaker Clarify API docstrings by changing JSONPath to JMESPath
+ * Use Async Inference Config when available for endpoint update
+ * the Hyperband support fix for the HPO
+ * unpin packaging version
+ * Remove content type image/jpg from analysis configuration schema
+ * Update for Tensorflow Serving 2.11 inference DLCs
+ * Skip Bad Transform Test
+ * Pop out ModelPackageName from pipeline definition
+ * Fix failing jumpstart cache unit tests
+ * FrameworkProcessor S3 uploads
+ * Add constraints file for apache-airflow
+ * support idempotency for framework and spark processors
+ * Fix bug forcing uploaded tar to be named sourcedir
+ * Update local_requirements.txt PyYAML version
+ * refactoring : using with statement
+ * Allow Py 3.7 for MMS Test Docker env
+ * Return ARM XGB/SKLearn tags if `image_scope` is `inference_graviton`
+ * Update scipy to 1.7.3 to support M1 development envs
+ * Fixing type hints for Spark processor that has instance type/count params in reverse order
+ * Add DeepAR ap-northeast-3 repository.
+ * Fix AsyncInferenceConfig documentation typo
+ * fix ml_inf to ml_inf1 in Neo multi-version support
+ * Fix type annotations
+ * add neo mvp region accounts
+
+### Documentation Changes
+
+ * fix the incorrect property reference
+ * smdistributed libraries release notes
+
 ## v2.125.0 (2022-12-19)
 
 ### Features

VERSION

@@ -1 +1 @@
-2.125.1.dev0
+2.119.1.dev0

src/sagemaker/image_uri_config/autogluon.json

@@ -4,7 +4,8 @@
         "version_aliases": {
             "0.3": "0.3.2",
             "0.4": "0.4.3",
-            "0.5": "0.5.2"
+            "0.5": "0.5.2",
+            "0.6": "0.6.1"
         },
         "versions": {
             "0.3.1": {
@@ -101,6 +102,7 @@
                     "us-west-2": "763104351884"
                 },
                 "repository": "autogluon-training",
+                "processors": ["cpu", "gpu"],
                 "py_versions": ["py38"]
             },
             "0.4.2": {
@@ -133,6 +135,7 @@
                     "us-west-2": "763104351884"
                 },
                 "repository": "autogluon-training",
+                "processors": ["cpu", "gpu"],
                 "py_versions": ["py38"]
             },
             "0.4.3": {
@@ -165,6 +168,7 @@
                     "us-west-2": "763104351884"
                 },
                 "repository": "autogluon-training",
+                "processors": ["cpu", "gpu"],
                 "py_versions": ["py38"]
             },
             "0.5.2": {
@@ -197,6 +201,39 @@
                     "us-west-2": "763104351884"
                 },
                 "repository": "autogluon-training",
+                "processors": ["cpu", "gpu"],
+                "py_versions": ["py38"]
+            },
+            "0.6.1": {
+                "registries": {
+                    "af-south-1": "626614931356",
+                    "ap-east-1": "871362719292",
+                    "ap-northeast-1": "763104351884",
+                    "ap-northeast-2": "763104351884",
+                    "ap-northeast-3": "364406365360",
+                    "ap-south-1": "763104351884",
+                    "ap-southeast-1": "763104351884",
+                    "ap-southeast-2": "763104351884",
+                    "ap-southeast-3": "907027046896",
+                    "ca-central-1": "763104351884",
+                    "eu-central-1": "763104351884",
+                    "eu-north-1": "763104351884",
+                    "eu-west-1": "763104351884",
+                    "eu-west-2": "763104351884",
+                    "eu-west-3": "763104351884",
+                    "eu-south-1": "692866216735",
+                    "me-south-1": "217643126080",
+                    "sa-east-1": "763104351884",
+                    "us-east-1": "763104351884",
+                    "us-east-2": "763104351884",
+                    "us-gov-east-1": "446045086412",
+                    "us-gov-west-1": "442386744353",
+                    "us-iso-east-1": "886529160074",
+                    "us-west-1": "763104351884",
+                    "us-west-2": "763104351884"
+                },
+                "repository": "autogluon-training",
+                "processors": ["cpu", "gpu"],
                 "py_versions": ["py38"]
             }
         }
@@ -205,7 +242,8 @@
         "version_aliases": {
             "0.3": "0.3.2",
             "0.4": "0.4.3",
-            "0.5": "0.5.2"
+            "0.5": "0.5.2",
+            "0.6": "0.6.1"
         },
         "versions": {
             "0.3.1": {
@@ -435,6 +473,40 @@
                 "repository": "autogluon-inference",
                 "processors": ["cpu", "gpu"],
                 "py_versions": ["py38"]
+            },
+            "0.6.1": {
+                "registries": {
+                    "af-south-1": "626614931356",
+                    "ap-east-1": "871362719292",
+                    "ap-northeast-1": "763104351884",
+                    "ap-northeast-2": "763104351884",
+                    "ap-northeast-3": "364406365360",
+                    "ap-south-1": "763104351884",
+                    "ap-southeast-1": "763104351884",
+                    "ap-southeast-2": "763104351884",
+                    "ap-southeast-3": "907027046896",
+                    "ca-central-1": "763104351884",
+                    "cn-north-1": "727897471807",
+                    "cn-northwest-1": "727897471807",
+                    "eu-central-1": "763104351884",
+                    "eu-north-1": "763104351884",
+                    "eu-west-1": "763104351884",
+                    "eu-west-2": "763104351884",
+                    "eu-west-3": "763104351884",
+                    "eu-south-1": "692866216735",
+                    "me-south-1": "217643126080",
+                    "sa-east-1": "763104351884",
+                    "us-east-1": "763104351884",
+                    "us-east-2": "763104351884",
+                    "us-gov-east-1": "446045086412",
+                    "us-gov-west-1": "442386744353",
+                    "us-iso-east-1": "886529160074",
+                    "us-west-1": "763104351884",
+                    "us-west-2": "763104351884"
+                },
+                "repository": "autogluon-inference",
+                "processors": ["cpu", "gpu"],
+                "py_versions": ["py38"]
             }
         }
     }

src/sagemaker/image_uri_config/tensorflow.json

@@ -307,7 +307,7 @@
             "2.7": "2.7.0",
             "2.8": "2.8.0",
             "2.9": "2.9.2",
-            "2.10": "2.10.0",
+            "2.10": "2.10.1",
             "2.11": "2.11.0"
         },
         "versions": {
@@ -1707,6 +1707,41 @@
                 },
                 "repository": "tensorflow-inference"
             },
+            "2.10.1": {
+                "registries": {
+                    "af-south-1": "626614931356",
+                    "ap-east-1": "871362719292",
+                    "ap-northeast-1": "763104351884",
+                    "ap-northeast-2": "763104351884",
+                    "ap-northeast-3": "364406365360",
+                    "ap-south-1": "763104351884",
+                    "ap-south-2": "772153158452",
+                    "ap-southeast-1": "763104351884",
+                    "ap-southeast-2": "763104351884",
+                    "ap-southeast-3": "907027046896",
+                    "ca-central-1": "763104351884",
+                    "cn-north-1": "727897471807",
+                    "cn-northwest-1": "727897471807",
+                    "eu-central-1": "763104351884",
+                    "eu-central-2": "380420809688",
+                    "eu-north-1": "763104351884",
+                    "eu-south-1": "692866216735",
+                    "eu-south-2": "503227376785",
+                    "eu-west-1": "763104351884",
+                    "eu-west-2": "763104351884",
+                    "eu-west-3": "763104351884",
+                    "me-south-1": "217643126080",
+                    "sa-east-1": "763104351884",
+                    "us-east-1": "763104351884",
+                    "us-east-2": "763104351884",
+                    "us-gov-east-1": "446045086412",
+                    "us-gov-west-1": "442386744353",
+                    "us-iso-east-1": "886529160074",
+                    "us-west-1": "763104351884",
+                    "us-west-2": "763104351884"
+                },
+                "repository": "tensorflow-inference"
+            },
             "2.11.0": {
                 "registries": {
                     "af-south-1": "626614931356",
@@ -3347,3 +3382,4 @@
         }
     }
 }
+

tests/unit/sagemaker/image_uris/test_autogluon.py

@@ -37,12 +37,25 @@
     "sa-east-1": "763104351884",
     "us-east-1": "763104351884",
     "us-east-2": "763104351884",
+    "us-gov-east-1": "446045086412",
     "us-gov-west-1": "442386744353",
     "us-iso-east-1": "886529160074",
     "us-west-1": "763104351884",
     "us-west-2": "763104351884",
 }
-VERSIONS = ["0.3.1", "0.3.2", "0.4.0", "0.4.2", "0.4.3", "0.3", "0.4", "0.5.2", "0.5"]
+VERSIONS = [
+    "0.3.1",
+    "0.3.2",
+    "0.4.0",
+    "0.4.2",
+    "0.4.3",
+    "0.3",
+    "0.4",
+    "0.5.2",
+    "0.5",
+    "0.6.1",
+    "0.6",
+]
 SCOPES = ["training", "inference"]
 PROCESSORS = ["cpu", "gpu"]