Sagemaker test docs update for framework upgrade (#11206)

* increased train_runtime for model parallelism

* added documentation for framework upgrade

tests/sagemaker/README.md

@@ -66,8 +66,7 @@ images:
 ```
 2. In the PR comment describe what test, we ran and with which package versions. Here you can copy the table from [Current Tests](#current-tests). 
 
-TODO: Add a screenshot of PR + Text template to make it easy to open. 
- 
+2. In the PR comment describe what test we ran and with which framework versions. Here you can copy the table from [Current Tests](#current-tests). You can take a look at this [PR](https://github.com/aws/deep-learning-containers/pull/1016), which information are needed. 
 ## Test Case 2: Releasing a New AWS Framework DLC
 
 
@@ -92,7 +91,6 @@ AWS_PROFILE=<enter-your-profile> make test-sagemaker
 ```
 These tests take around 10-15 minutes to finish. Preferably make a screenshot of the successfully ran tests.
 
-
 ### After successful Tests:
 
 After we have successfully run tests for the new framework version we need to create a PR at the [Deep Learning Container Repository](https://github.com/aws/deep-learning-containers).
@@ -136,7 +134,7 @@ images:
     docker_file: !join [ docker/, *SHORT_VERSION, /, *DOCKER_PYTHON_VERSION, /, 
       *CUDA_VERSION, /Dockerfile., *DEVICE_TYPE ]
 ```
-2. In the PR comment describe what test we ran and with which framework versions. Here you can copy the table from [Current Tests](#current-tests). You can take a look at this [PR](https://github.com/aws/deep-learning-containers/pull/1016), which information are needed.
+2. In the PR comment describe what test we ran and with which framework versions. Here you can copy the table from [Current Tests](#current-tests). You can take a look at this [PR](https://github.com/aws/deep-learning-containers/pull/1025), which information are needed.
 
 ## Current Tests
 

tests/sagemaker/test_multi_node_model_parallel.py

@@ -28,14 +28,14 @@ if is_sagemaker_available():
             "script": "run_glue_model_parallelism.py",
             "model_name_or_path": "roberta-large",
             "instance_type": "ml.p3dn.24xlarge",
-            "results": {"train_runtime": 1500, "eval_accuracy": 0.3, "eval_loss": 1.2},
+            "results": {"train_runtime": 1600, "eval_accuracy": 0.3, "eval_loss": 1.2},
         },
         {
             "framework": "pytorch",
             "script": "run_glue.py",
             "model_name_or_path": "roberta-large",
             "instance_type": "ml.p3dn.24xlarge",
-            "results": {"train_runtime": 1500, "eval_accuracy": 0.3, "eval_loss": 1.2},
+            "results": {"train_runtime": 1600, "eval_accuracy": 0.3, "eval_loss": 1.2},
         },
     ]
 )