fix: upgrade ubuntu from 18.04 to 20.04 for pipeline (#1888)

* fix: deprecate ubuntu 18.04 for pipeline * fix: upgrade unbuntu for direct usage * fix: AzureML-sklearn-0.24-ubuntu18.04-py37-cpu * fix: fix typo * fix: fix 2 ci * fix: roll back unexpected changes * fix: use version 1 * roll back unexpected change
2022-11-18 10:59:36 +08:00 · 2022-11-18 10:59:36 +08:00 · f884f1f69f
--- a/cli/assets/component/README.md
+++ b/cli/assets/component/README.md
@ -73,7 +73,7 @@ outputs:
  model_output:
    type: uri_folder
 code: ./train_src
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 command: >-
  python train.py 
  --training_data ${{inputs.training_data}} 
--- a/cli/assets/component/train.yml
+++ b/cli/assets/component/train.yml
@ -4,7 +4,7 @@ display_name: train_data
 description: A example train component
 tags:
  author: azureml-sdk-team
-version: 6
+version: 7
 type: command
 inputs:
  training_data: 
@ -24,7 +24,7 @@ outputs:
  model_output:
    type: uri_folder
 code: ./train_src
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 command: >-
  python train.py 
  --training_data ${{inputs.training_data}} 
--- a/cli/assets/environment/docker-contexts/python-and-pip/Dockerfile
+++ b/cli/assets/environment/docker-contexts/python-and-pip/Dockerfile
@ -1,4 +1,4 @@
-#FROM mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04
+#FROM mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04
 FROM python:3.8

 # python installs
--- a/cli/assets/environment/docker-image-plus-conda.yml
+++ b/cli/assets/environment/docker-image-plus-conda.yml
@ -1,5 +1,5 @@
 $schema: https://azuremlschemas.azureedge.net/latest/environment.schema.json
 name: docker-image-plus-conda-example
-image: mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04
+image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04
 conda_file: conda-yamls/pydata.yml
 description: Environment created from a Docker image plus Conda environment.
--- a/cli/jobs/basics/hello-pipeline-abc.yml
+++ b/cli/jobs/basics/hello-pipeline-abc.yml
@ -9,17 +9,17 @@ inputs:
 jobs:
  a:
    command: echo hello ${{inputs.hello_string}}
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    inputs:
      hello_string: ${{parent.inputs.hello_string_top_level_input}}
  b:
    command: echo "world" >> ${{outputs.world_output}}/world.txt
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    outputs:
      world_output:
  c:
    command: echo ${{inputs.world_input}}/world.txt
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    inputs:
      world_input: ${{parent.jobs.b.outputs.world_output}}
 
--- a/cli/jobs/basics/hello-pipeline-customize-output-file.yml
+++ b/cli/jobs/basics/hello-pipeline-customize-output-file.yml
@ -10,7 +10,7 @@ outputs:
 jobs:
  hello_world:
    command: echo "hello" && echo "world" > ${{outputs.output}}
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    compute: azureml:cpu-cluster
    outputs:
      output: ${{parent.outputs.output}}
--- a/cli/jobs/basics/hello-pipeline-customize-output-folder.yml
+++ b/cli/jobs/basics/hello-pipeline-customize-output-folder.yml
@ -6,7 +6,7 @@ settings:
 jobs:
  hello_world:
    command: echo "hello" && echo "world" > ${{outputs.output}}/hello_world-folder.txt
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    compute: azureml:cpu-cluster
    outputs:
      output:
--- a/cli/jobs/basics/hello-pipeline-default-artifacts.yml
+++ b/cli/jobs/basics/hello-pipeline-default-artifacts.yml
@ -4,13 +4,13 @@ display_name: hello_pipeline_default_artifacts
 jobs:
  hello_job:
    command: echo "hello" && echo "world" > ./outputs/world.txt
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    compute: azureml:cpu-cluster
    outputs:
      artifacts:
  world_job:
    command: cat ${{inputs.world_input}}/outputs/world.txt
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    compute: azureml:cpu-cluster
    inputs:
      world_input: ${{parent.jobs.hello_job.outputs.artifacts}}
--- a/cli/jobs/basics/hello-pipeline-io.yml
+++ b/cli/jobs/basics/hello-pipeline-io.yml
@ -4,13 +4,13 @@ display_name: hello_pipeline_io
 jobs:
  hello_job:
    command: echo "hello" && echo "world" > ${{outputs.world_output}}/world.txt
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    compute: azureml:cpu-cluster
    outputs:
      world_output:
  world_job:
    command: cat ${{inputs.world_input}}/world.txt
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:23
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
    compute: azureml:cpu-cluster
    inputs:
      world_input: ${{parent.jobs.hello_job.outputs.world_output}}
--- a/cli/jobs/basics/hello-pipeline-settings.yml
+++ b/cli/jobs/basics/hello-pipeline-settings.yml
@ -8,7 +8,7 @@ settings:
 jobs:
  hello_job:
    command: echo 202204190 & echo "hello"
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:23
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
  world_job:
    command: echo 202204190 & echo "hello"
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:23   
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1   
--- a/cli/jobs/basics/hello-pipeline.yml
+++ b/cli/jobs/basics/hello-pipeline.yml
@ -4,10 +4,10 @@ display_name: hello_pipeline
 jobs:
  hello_job:
    command: echo "hello"
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    compute: azureml:cpu-cluster
  world_job:
    command: echo "world"
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    compute: azureml:cpu-cluster
 
--- a/cli/jobs/pipelines-with-components/basics/1a_e2e_local_components/eval.yml
+++ b/cli/jobs/pipelines-with-components/basics/1a_e2e_local_components/eval.yml
@ -9,7 +9,7 @@ inputs:
 outputs:
  eval_output:
    type: uri_folder
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
 code: ./eval_src
 command: >-
  python eval.py 
--- a/cli/jobs/pipelines-with-components/basics/1a_e2e_local_components/score.yml
+++ b/cli/jobs/pipelines-with-components/basics/1a_e2e_local_components/score.yml
@ -11,7 +11,7 @@ inputs:
 outputs:
  score_output:
    type: uri_folder
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
 code: ./score_src
 command: >-
  python score.py 
--- a/cli/jobs/pipelines-with-components/basics/1a_e2e_local_components/train.yml
+++ b/cli/jobs/pipelines-with-components/basics/1a_e2e_local_components/train.yml
@ -18,7 +18,7 @@ outputs:
  model_output:
    type: uri_folder
 code: ./train_src
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
 command: >-
  python train.py 
  --training_data ${{inputs.training_data}} 
--- a/cli/jobs/pipelines-with-components/basics/1b_e2e_registered_components/eval.yml
+++ b/cli/jobs/pipelines-with-components/basics/1b_e2e_registered_components/eval.yml
@ -9,7 +9,7 @@ inputs:
 outputs:
  eval_output:
    type: uri_folder
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 code: ./eval_src
 command: >-
  python eval.py 
--- a/cli/jobs/pipelines-with-components/basics/1b_e2e_registered_components/score.yml
+++ b/cli/jobs/pipelines-with-components/basics/1b_e2e_registered_components/score.yml
@ -11,7 +11,7 @@ inputs:
 outputs:
  score_output:
    type: uri_folder
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 code: ./score_src
 command: >-
  python score.py 
--- a/cli/jobs/pipelines-with-components/basics/1b_e2e_registered_components/train.yml
+++ b/cli/jobs/pipelines-with-components/basics/1b_e2e_registered_components/train.yml
@ -25,7 +25,7 @@ outputs:
  model_output:
    type: uri_folder
 code: ./train_src
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 command: >-
  python train.py 
  --training_data ${{inputs.training_data}} 
--- a/cli/jobs/pipelines-with-components/basics/5b_env_registered/component.yml
+++ b/cli/jobs/pipelines-with-components/basics/5b_env_registered/component.yml
@ -7,7 +7,7 @@ version: 1

 code: ./src

-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest

 command: >-
  python hello.py
--- a/cli/jobs/pipelines-with-components/image_classification_with_densenet/apply_image_transformation/entry.spec.yaml
+++ b/cli/jobs/pipelines-with-components/image_classification_with_densenet/apply_image_transformation/entry.spec.yaml
@ -32,4 +32,4 @@ command: >-
  --output-path ${{outputs.output_path}}
 environment:
  conda_file: ./conda.yaml
-  image: mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20211124.v1
+  image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:latest
--- a/cli/jobs/pipelines-with-components/image_classification_with_densenet/convert_to_image_directory/entry.spec.yaml
+++ b/cli/jobs/pipelines-with-components/image_classification_with_densenet/convert_to_image_directory/entry.spec.yaml
@ -22,4 +22,4 @@ command: >-
  --output-path ${{outputs.output_path}}
 environment:
  conda_file: ./conda.yaml
-  image: mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20211124.v1
+  image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:latest
--- a/cli/jobs/pipelines-with-components/image_classification_with_densenet/init_image_transformation/entry.spec.yaml
+++ b/cli/jobs/pipelines-with-components/image_classification_with_densenet/init_image_transformation/entry.spec.yaml
@ -124,4 +124,4 @@ command: >-
  
 environment:
  conda_file: ./conda.yaml
-  image: mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20211124.v1
+  image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:latest
--- a/cli/jobs/pipelines-with-components/nyc_taxi_data_regression/predict.yml
+++ b/cli/jobs/pipelines-with-components/nyc_taxi_data_regression/predict.yml
@ -12,7 +12,7 @@ inputs:
 outputs:
  predictions:
    type: uri_folder
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
 code: ./predict_src
 command: >-
  python predict.py 
--- a/cli/jobs/pipelines-with-components/nyc_taxi_data_regression/prep.yml
+++ b/cli/jobs/pipelines-with-components/nyc_taxi_data_regression/prep.yml
@ -11,7 +11,7 @@ outputs:
  prep_data:
    type: uri_folder
 code: ./prep_src
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
 command: >-
  python prep.py 
  --raw_data ${{inputs.raw_data}} 
--- a/cli/jobs/pipelines-with-components/nyc_taxi_data_regression/score.yml
+++ b/cli/jobs/pipelines-with-components/nyc_taxi_data_regression/score.yml
@ -12,7 +12,7 @@ inputs:
 outputs:
  score_report:
    type: uri_folder
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
 code: ./score_src
 command: >-
  python score.py 
--- a/cli/jobs/pipelines-with-components/nyc_taxi_data_regression/train.yml
+++ b/cli/jobs/pipelines-with-components/nyc_taxi_data_regression/train.yml
@ -18,7 +18,7 @@ outputs:
  test_data:
    type: uri_folder
 code: ./train_src
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
 command: >-
  python train.py 
  --training_data ${{inputs.training_data}} 
--- a/cli/jobs/pipelines-with-components/nyc_taxi_data_regression/transform.yml
+++ b/cli/jobs/pipelines-with-components/nyc_taxi_data_regression/transform.yml
@ -11,7 +11,7 @@ outputs:
  transformed_data:
    type: uri_folder
 code: ./transform_src
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
 command: >-
  python transform.py 
  --clean_data ${{inputs.clean_data}} 
--- a/cli/jobs/pipelines-with-components/pipeline_with_hyperparameter_sweep/predict.yml
+++ b/cli/jobs/pipelines-with-components/pipeline_with_hyperparameter_sweep/predict.yml
@ -13,7 +13,7 @@ outputs:
  predict_result:
    type: uri_folder
 code: ./predict-src
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
 command: >-
  python predict.py 
  --model ${{inputs.model}} 
--- a/cli/jobs/pipelines-with-components/pipeline_with_hyperparameter_sweep/train.yml
+++ b/cli/jobs/pipelines-with-components/pipeline_with_hyperparameter_sweep/train.yml
@ -59,7 +59,7 @@ outputs:
  
 code: ./train-src

-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest

 command: >-
  python train.py 
--- a/cli/jobs/pipelines-with-components/rai_pipeline_adult_analyse/environment/responsibleai-environment.yaml
+++ b/cli/jobs/pipelines-with-components/rai_pipeline_adult_analyse/environment/responsibleai-environment.yaml
@ -1,5 +1,5 @@
 $schema: https://azuremlschemas.azureedge.net/latest/environment.schema.json
 name: AML-RAI-Environment
 version: 1
-image: mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20220303.v1
+image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:latest
 conda_file: conda_envs/python-aml-rai.yaml
--- a/cli/jobs/pipelines/automl/cli-automl-classification-task-bankmarketing-pipeline/components/component_register_model.yaml
+++ b/cli/jobs/pipelines/automl/cli-automl-classification-task-bankmarketing-pipeline/components/component_register_model.yaml
@ -9,7 +9,7 @@ inputs:
  model_base_name:
    type: string
 code: ./src/
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 command: >-
  python register.py
  --model_input_path ${{inputs.model_input_path}}
--- a/cli/jobs/pipelines/automl/cli-automl-regression-housepricing-pipeline/components/component_register_model.yaml
+++ b/cli/jobs/pipelines/automl/cli-automl-regression-housepricing-pipeline/components/component_register_model.yaml
@ -9,7 +9,7 @@ inputs:
  model_base_name:
    type: string
 code: ./src/
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 command: >-
  python register.py
  --model_input_path ${{inputs.model_input_path}}
--- a/cli/jobs/pipelines/automl/cli-automl-text-classification-multilabel-paper-categorization-pipeline/components/component_register_model.yaml
+++ b/cli/jobs/pipelines/automl/cli-automl-text-classification-multilabel-paper-categorization-pipeline/components/component_register_model.yaml
@ -9,7 +9,7 @@ inputs:
  model_base_name:
    type: string
 code: ./src/
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 command: >-
  python register.py
  --model_input_path ${{inputs.model_input_path}}
--- a/cli/jobs/pipelines/automl/cli-automl-text-classification-newsgroup-pipeline/components/component_register_model.yaml
+++ b/cli/jobs/pipelines/automl/cli-automl-text-classification-newsgroup-pipeline/components/component_register_model.yaml
@ -9,7 +9,7 @@ inputs:
  model_base_name:
    type: string
 code: ./src/
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 command: >-
  python register.py
  --model_input_path ${{inputs.model_input_path}}
--- a/cli/jobs/pipelines/automl/cli-automl-text-ner-conll-pipeline/components/component_register_model.yaml
+++ b/cli/jobs/pipelines/automl/cli-automl-text-ner-conll-pipeline/components/component_register_model.yaml
@ -9,7 +9,7 @@ inputs:
  model_base_name:
    type: string
 code: ./src/
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 command: >-
  python register.py
  --model_input_path ${{inputs.model_input_path}}
--- a/cli/jobs/pipelines/automl/forecasting-energy-demand-pipeline/components/component_register_model.yaml
+++ b/cli/jobs/pipelines/automl/forecasting-energy-demand-pipeline/components/component_register_model.yaml
@ -9,7 +9,7 @@ inputs:
  model_base_name:
    type: string
 code: ./src/
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 command: >-
  python register.py
  --model_input_path ${{inputs.model_input_path}}
--- a/cli/jobs/pipelines/automl/image-instance-segmentation-task-fridge-items-pipeline/components/component_register_model.yaml
+++ b/cli/jobs/pipelines/automl/image-instance-segmentation-task-fridge-items-pipeline/components/component_register_model.yaml
@ -9,7 +9,7 @@ inputs:
  model_base_name:
    type: string
 code: ./src/
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 command: >-
  python register.py
  --model_input_path ${{inputs.model_input_path}}
--- a/cli/jobs/pipelines/automl/image-multilabel-classification-fridge-items-pipeline/components/component_register_model.yaml
+++ b/cli/jobs/pipelines/automl/image-multilabel-classification-fridge-items-pipeline/components/component_register_model.yaml
@ -9,7 +9,7 @@ inputs:
  model_base_name:
    type: string
 code: ./src/
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 command: >-
  python register.py
  --model_input_path ${{inputs.model_input_path}}
--- a/cli/jobs/pipelines/automl/image-object-detection-task-fridge-items-pipeline/components/component_register_model.yaml
+++ b/cli/jobs/pipelines/automl/image-object-detection-task-fridge-items-pipeline/components/component_register_model.yaml
@ -9,7 +9,7 @@ inputs:
  model_base_name:
    type: string
 code: ./src/
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 command: >-
  python register.py
  --model_input_path ${{inputs.model_input_path}}
--- a/cli/jobs/pipelines/cifar-10/pipeline.yml
+++ b/cli/jobs/pipelines/cifar-10/pipeline.yml
@ -13,7 +13,7 @@ jobs:
      tar -xvzf cifar-10-python.tar.gz -C ${{outputs.cifar}};
      rm cifar-10-python.tar.gz;
    compute: azureml:gpu-cluster
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    outputs:
      cifar:
        type: uri_folder
--- a/cli/jobs/pipelines/iris-batch-prediction-using-parallel/pipeline.yml
+++ b/cli/jobs/pipelines/iris-batch-prediction-using-parallel/pipeline.yml
@ -47,7 +47,7 @@ jobs:
      environment:
        name: "prs-env"
        version: 1
-        image: mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04
+        image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04
        conda_file: ./environment/environment_parallel.yml
      program_arguments: >-
        --model ${{inputs.score_model}}
--- a/cli/jobs/pipelines/mnist-batch-identification-using-parallel/pipeline.yml
+++ b/cli/jobs/pipelines/mnist-batch-identification-using-parallel/pipeline.yml
@ -22,7 +22,7 @@ jobs:
    environment:
        name: "prepare_data_environment"
        version: 1
-        image: mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04
+        image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04
        conda_file: ./environment/environment_prepare.yml

  predict_digits_mnist:
@ -60,7 +60,7 @@ jobs:
      environment:
        name: "batch_environment"
        version: 1
-        image: mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04
+        image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04
        conda_file: ./environment/environment_parallel.yml
      program_arguments: >-
        --model ${{inputs.score_model}}
--- a/cli/jobs/pipelines/nyc-taxi/pipeline.yml
+++ b/cli/jobs/pipelines/nyc-taxi/pipeline.yml
@ -17,7 +17,7 @@ jobs:
      prep_data: 
        mode: upload
    code: src/prep
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    compute: azureml:cpu-cluster
    command: >-
      python prep.py 
@ -32,7 +32,7 @@ jobs:
      transformed_data:
        mode: upload
    code: src/transform
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    compute: azureml:cpu-cluster
    command: >-
      python transform.py 
@ -48,7 +48,7 @@ jobs:
      test_data: 
        mode: upload
    code: src/train
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    compute: azureml:cpu-cluster
    command: >-
      python train.py 
@ -64,7 +64,7 @@ jobs:
    outputs:
      predictions: 
    code: src/predict
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    compute: azureml:cpu-cluster
    command: >-
      python predict.py 
@ -80,7 +80,7 @@ jobs:
    outputs:
      score_report: 
    code: src/score
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    compute: azureml:cpu-cluster
    command: >-      
      python score.py 
--- a/cli/schedules/simple-pipeline-job.yml
+++ b/cli/schedules/simple-pipeline-job.yml
@ -8,17 +8,17 @@ inputs:
 jobs:
  a:
    command: echo hello ${{inputs.hello_string}}
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    inputs:
      hello_string: ${{parent.inputs.hello_string_top_level_input}}
  b:
    command: echo "world" >> ${{outputs.world_output}}/world.txt
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    outputs:
      world_output:
  c:
    command: echo ${{inputs.world_input}}/world.txt
-    environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+    environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
    inputs:
      world_input: ${{parent.jobs.b.outputs.world_output}}
 
--- a/sdk/dotnet/AzureML-Samples-CSharp/Assets/Environment/EnvironmentOperations.cs
+++ b/sdk/dotnet/AzureML-Samples-CSharp/Assets/Environment/EnvironmentOperations.cs
@ -67,7 +67,7 @@ internal class EnvironmentOperations
            Tags = { { "key1", "value1" }, { "key2", "value2" } },
            OSType = OperatingSystemType.Linux,
            IsAnonymous = false,
-            Image = "mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04",
+            Image = "mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04",
        };

        EnvironmentVersionData data = new EnvironmentVersionData(properties);
--- a/sdk/python/assets/component/train.yml
+++ b/sdk/python/assets/component/train.yml
@ -24,7 +24,7 @@ outputs:
  model_output:
    type: uri_folder
 code: ./train_src
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 command: >-
  python train.py 
  --training_data ${{inputs.training_data}} 
--- a/sdk/python/assets/data/data.ipynb
+++ b/sdk/python/assets/data/data.ipynb
@ -78,7 +78,7 @@
    "    code=\"./src\",  # local path where the code is stored\n",
    "    command=\"python read_data.py --input_data ${{inputs.input_data}}\",\n",
    "    inputs=inputs,\n",
-    "    environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:9\",\n",
+    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    compute=\"cpu-cluster\",\n",
    ")\n",
    "\n",
@ -130,7 +130,7 @@
    "    command=\"python read_write_data.py --input_data ${{inputs.input_data}} --output_folder ${{outputs.output_folder}}\",\n",
    "    inputs=inputs,\n",
    "    outputs=outputs,\n",
-    "    environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:9\",\n",
+    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    compute=\"cpu-cluster\",\n",
    ")\n",
    "\n",
@ -211,7 +211,7 @@
    "    code=\"./src\",\n",
    "    command=\"python read_data.py --input_data ${{inputs.input_data}}\",\n",
    "    inputs=my_job_inputs,\n",
-    "    environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:9\",\n",
+    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    compute=\"cpu-cluster\",\n",
    ")\n",
    "\n",
@ -291,7 +291,7 @@
    "from azure.ai.ml.entities import Environment\n",
    "\n",
    "env_docker_conda = Environment(\n",
-    "    image=\"mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04\",\n",
+    "    image=\"mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04\",\n",
    "    conda_file=\"env-mltable.yml\",\n",
    "    name=\"mltable\",\n",
    "    description=\"Environment created for consuming MLTable.\",\n",
--- a/sdk/python/assets/data/working_with_mltable.ipynb
+++ b/sdk/python/assets/data/working_with_mltable.ipynb
@ -207,7 +207,7 @@
    "from azure.ai.ml.constants import AssetTypes\n",
    "\n",
    "env = Environment(\n",
-    "    image=\"mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04\",\n",
+    "    image=\"mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04\",\n",
    "    conda_file=\"environments/mltable_environment.yaml\",\n",
    ")\n",
    "\n",
@ -319,7 +319,7 @@
    "from azure.ai.ml.constants import AssetTypes\n",
    "\n",
    "env = Environment(\n",
-    "    image=\"mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04\",\n",
+    "    image=\"mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04\",\n",
    "    conda_file=\"environments/mltable_environment.yaml\",\n",
    ")\n",
    "\n",
--- a/sdk/python/assets/environment/docker-contexts/python-and-pip/Dockerfile
+++ b/sdk/python/assets/environment/docker-contexts/python-and-pip/Dockerfile
@ -1,4 +1,4 @@
-#FROM mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04
+#FROM mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04
 FROM python:3.8

 # python installs
--- a/sdk/python/assets/environment/environment.ipynb
+++ b/sdk/python/assets/environment/environment.ipynb
@ -152,7 +152,7 @@
   "outputs": [],
   "source": [
    "env_docker_conda = Environment(\n",
-    "    image=\"mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04\",\n",
+    "    image=\"mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04\",\n",
    "    conda_file=\"conda-yamls/pydata.yml\",\n",
    "    name=\"docker-image-plus-conda-example\",\n",
    "    description=\"Environment created from a Docker image plus Conda environment.\",\n",
--- a/sdk/python/assets/model/model.ipynb
+++ b/sdk/python/assets/model/model.ipynb
@ -347,7 +347,7 @@
    "    command=\"python load_score.py --input_model ${{inputs.input_model}} --input_data ${{inputs.input_data}} --output_folder ${{outputs.output_folder}}\",\n",
    "    inputs=inputs,\n",
    "    outputs=outputs,\n",
-    "    environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:9\",\n",
+    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    compute=\"cpu-cluster\",\n",
    ")\n",
    "\n",
@ -396,7 +396,7 @@
    "    command=\"python load_write_model.py --input_model ${{inputs.input_model}} --custom_model_output ${{outputs.custom_model_output}}\",\n",
    "    inputs=inputs,\n",
    "    outputs=outputs,\n",
-    "    environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:9\",\n",
+    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    compute=\"cpu-cluster\",\n",
    ")\n",
    "\n",
--- a/sdk/python/jobs/automl-standalone-jobs/automl-classification-task-bankmarketing/automl-classification-task-bankmarketing-mlflow.ipynb
+++ b/sdk/python/jobs/automl-standalone-jobs/automl-classification-task-bankmarketing/automl-classification-task-bankmarketing-mlflow.ipynb
@ -649,7 +649,7 @@
    "env = Environment(\n",
    "    name=\"automl-tabular-env\",\n",
    "    description=\"environment for automl inference\",\n",
-    "    image=\"mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20210727.v1\",\n",
+    "    image=\"mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:latest\",\n",
    "    conda_file=\"artifact_downloads/outputs/conda_env_v_1_0_0.yml\",\n",
    ")"
   ]
--- a/sdk/python/jobs/automl-standalone-jobs/automl-forecasting-orange-juice-sales/automl-forecasting-orange-juice-sales-mlflow.ipynb
+++ b/sdk/python/jobs/automl-standalone-jobs/automl-forecasting-orange-juice-sales/automl-forecasting-orange-juice-sales-mlflow.ipynb
@ -854,7 +854,7 @@
    "env = Environment(\n",
    "    name=\"automl-tabular-env\",\n",
    "    description=\"environment for automl inference\",\n",
-    "    image=\"mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20210727.v1\",\n",
+    "    image=\"mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:latest\",\n",
    "    conda_file=\"artifact_downloads/outputs/conda_env_v_1_0_0.yml\",\n",
    ")\n",
    "\n",
--- a/sdk/python/jobs/automl-standalone-jobs/automl-forecasting-task-bike-share/auto-ml-forecasting-bike-share.ipynb
+++ b/sdk/python/jobs/automl-standalone-jobs/automl-forecasting-task-bike-share/auto-ml-forecasting-bike-share.ipynb
@ -726,7 +726,7 @@
    "env = Environment(\n",
    "    name=\"automl-tabular-env\",\n",
    "    description=\"environment for automl inference\",\n",
-    "    image=\"mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20210727.v1\",\n",
+    "    image=\"mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:latest\",\n",
    "    conda_file=\"artifact_downloads/outputs/conda_env_v_1_0_0.yml\",\n",
    ")\n",
    "\n",
--- a/sdk/python/jobs/pipelines/1a_pipeline_with_components_from_yaml/eval_model.yml
+++ b/sdk/python/jobs/pipelines/1a_pipeline_with_components_from_yaml/eval_model.yml
@ -11,7 +11,7 @@ inputs:
 outputs:
  eval_output:
    type: uri_folder
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:5
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 code: ./eval_src
 command: >-
  python eval.py 
--- a/sdk/python/jobs/pipelines/1a_pipeline_with_components_from_yaml/score_data.yml
+++ b/sdk/python/jobs/pipelines/1a_pipeline_with_components_from_yaml/score_data.yml
@ -14,7 +14,7 @@ inputs:
 outputs:
  score_output:
    type: uri_folder
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:5
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 code: ./score_src
 command: >-
  python score.py 
--- a/sdk/python/jobs/pipelines/1a_pipeline_with_components_from_yaml/train_model.yml
+++ b/sdk/python/jobs/pipelines/1a_pipeline_with_components_from_yaml/train_model.yml
@ -21,7 +21,7 @@ outputs:
  model_output:
    type: uri_folder
 code: ./train_src
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:5
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 command: >-
  python train.py 
  --training_data ${{inputs.training_data}} 
--- a/sdk/python/jobs/pipelines/1c_pipeline_with_hyperparameter_sweep/predict.yml
+++ b/sdk/python/jobs/pipelines/1c_pipeline_with_hyperparameter_sweep/predict.yml
@ -13,7 +13,7 @@ outputs:
  predict_result:
    type: uri_folder
 code: ./predict-src
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
 command: >-
  python predict.py 
  --model ${{inputs.model}} 
--- a/sdk/python/jobs/pipelines/1c_pipeline_with_hyperparameter_sweep/train.yml
+++ b/sdk/python/jobs/pipelines/1c_pipeline_with_hyperparameter_sweep/train.yml
@ -59,7 +59,7 @@ outputs:
  
 code: ./train-src

-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest

 command: >-
  python train.py 
--- a/sdk/python/jobs/pipelines/1d_pipeline_with_non_python_components/pipeline_with_non_python_components.ipynb
+++ b/sdk/python/jobs/pipelines/1d_pipeline_with_non_python_components/pipeline_with_non_python_components.ipynb
@ -113,7 +113,7 @@
    "download_url = \"https://azuremlexamples.blob.core.windows.net/datasets/iris.csv\"\n",
    "file_name = \"data.csv\"\n",
    "custom_path = \"azureml://datastores/workspaceblobstore/paths/custom_path/${{name}}/\"\n",
-    "environment = \"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1\"\n",
+    "environment = \"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\"\n",
    "# 1. Create a command component to download a input data\n",
    "download_data = command(\n",
    "    name=\"download-input\",\n",
--- a/sdk/python/jobs/pipelines/1e_pipeline_with_registered_components/score_data.yml
+++ b/sdk/python/jobs/pipelines/1e_pipeline_with_registered_components/score_data.yml
@ -14,7 +14,7 @@ inputs:
 outputs:
  score_output:
    type: uri_folder
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:5
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 code: ./score_src
 command: >-
  python score.py 
--- a/sdk/python/jobs/pipelines/1e_pipeline_with_registered_components/train_model.yml
+++ b/sdk/python/jobs/pipelines/1e_pipeline_with_registered_components/train_model.yml
@ -21,7 +21,7 @@ outputs:
  model_output:
    type: uri_folder
 code: ./train_src
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:5
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1
 command: >-
  python train.py 
  --training_data ${{inputs.training_data}} 
--- a/sdk/python/jobs/pipelines/1g_pipeline_with_parallel_nodes/pipeline_with_parallel_nodes.ipynb
+++ b/sdk/python/jobs/pipelines/1g_pipeline_with_parallel_nodes/pipeline_with_parallel_nodes.ipynb
@ -169,7 +169,7 @@
    "        code=\"./src\",\n",
    "        entry_script=\"file_batch_inference.py\",\n",
    "        program_arguments=\"--job_output_path ${{outputs.job_output_path}}\",\n",
-    "        environment=\"azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1\",\n",
+    "        environment=\"azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    ),\n",
    ")"
   ]
@ -215,7 +215,7 @@
    "        code=\"./src\",\n",
    "        entry_script=\"tabular_batch_inference.py\",\n",
    "        environment=Environment(\n",
-    "            image=\"mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04\",\n",
+    "            image=\"mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04\",\n",
    "            conda_file=\"./src/environment_parallel.yml\",\n",
    "        ),\n",
    "        program_arguments=\"--model ${{inputs.score_model}} \"\n",
--- a/sdk/python/jobs/pipelines/1g_pipeline_with_parallel_nodes/src/prepare_data.yml
+++ b/sdk/python/jobs/pipelines/1g_pipeline_with_parallel_nodes/src/prepare_data.yml
@ -18,7 +18,7 @@ outputs:

 code: ./

-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:5
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1

 command: >-
  python prepare_data.py
--- a/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-classification-bankmarketing-in-pipeline/automl-classification-bankmarketing-in-pipeline.ipynb
+++ b/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-classification-bankmarketing-in-pipeline/automl-classification-bankmarketing-in-pipeline.ipynb
@ -151,7 +151,7 @@
    "        command=\"python register.py \"\n",
    "        + \"--model_input_path ${{inputs.model_input_path}} \"\n",
    "        + \"--model_base_name ${{inputs.model_base_name}}\",\n",
-    "        environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1\",\n",
+    "        environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    )\n",
    "    register_model = command_func(\n",
    "        model_input_path=classification_node.outputs.best_model\n",
--- a/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-forecasting-in-pipeline/automl-forecasting-in-pipeline.ipynb
+++ b/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-forecasting-in-pipeline/automl-forecasting-in-pipeline.ipynb
@ -407,7 +407,7 @@
    "        command=\"python register_model.py \"\n",
    "        + \"--model_path ${{inputs.model_input_path}} \"\n",
    "        + f\"--model_base_name {model_name_str}\",\n",
-    "        environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1\",\n",
+    "        environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    )\n",
    "    register_model = command_func(model_input_path=forecasting_node.outputs.best_model)\n",
    "\n",
@ -613,7 +613,7 @@
    "\n",
    "env = Environment(\n",
    "    description=\"environment for automl inference\",\n",
-    "    image=\"mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20210727.v1\",\n",
+    "    image=\"mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:latest\",\n",
    "    conda_file=os.path.join(\"artifact_downloads\", \"outputs\", \"conda_env_v_1_0_0.yml\"),\n",
    ")"
   ]
--- a/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-image-classification-multiclass-in-pipeline/automl-image-classification-multiclass-in-pipeline.ipynb
+++ b/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-image-classification-multiclass-in-pipeline/automl-image-classification-multiclass-in-pipeline.ipynb
@ -327,7 +327,7 @@
    "        command=\"python register.py \"\n",
    "        + \"--model_input_path ${{inputs.model_input_path}} \"\n",
    "        + \"--model_base_name ${{inputs.model_base_name}}\",\n",
-    "        environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1\",\n",
+    "        environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    )\n",
    "    register_model = command_func(\n",
    "        model_input_path=image_classification_node.outputs.best_model\n",
--- a/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-image-classification-multilabel-in-pipeline/automl-image-classification-multilabel-in-pipeline.ipynb
+++ b/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-image-classification-multilabel-in-pipeline/automl-image-classification-multilabel-in-pipeline.ipynb
@ -334,7 +334,7 @@
    "        command=\"python register.py \"\n",
    "        + \"--model_input_path ${{inputs.model_input_path}} \"\n",
    "        + \"--model_base_name ${{inputs.model_base_name}}\",\n",
-    "        environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1\",\n",
+    "        environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    )\n",
    "    register_model = command_func(\n",
    "        model_input_path=image_classification_multilabel_node.outputs.best_model\n",
--- a/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-image-instance-segmentation-in-pipeline/automl-image-instance-segmentation-in-pipeline.ipynb
+++ b/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-image-instance-segmentation-in-pipeline/automl-image-instance-segmentation-in-pipeline.ipynb
@ -272,7 +272,7 @@
    "        command=\"python register.py \"\n",
    "        + \"--model_input_path ${{inputs.model_input_path}} \"\n",
    "        + \"--model_base_name ${{inputs.model_base_name}}\",\n",
-    "        environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1\",\n",
+    "        environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    )\n",
    "    register_model = command_func(\n",
    "        model_input_path=image_instance_segmentation_node.outputs.best_model\n",
--- a/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-image-object-detection-in-pipeline/automl-image-object-detection-in-pipeline.ipynb
+++ b/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-image-object-detection-in-pipeline/automl-image-object-detection-in-pipeline.ipynb
@ -349,7 +349,7 @@
    "        command=\"python register.py \"\n",
    "        + \"--model_input_path ${{inputs.model_input_path}} \"\n",
    "        + \"--model_base_name ${{inputs.model_base_name}}\",\n",
-    "        environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1\",\n",
+    "        environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    )\n",
    "    register_model = command_func(\n",
    "        model_input_path=image_object_detection_node.outputs.best_model\n",
--- a/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-regression-house-pricing-in-pipeline/automl-regression-house-pricing-in-pipeline.ipynb
+++ b/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-regression-house-pricing-in-pipeline/automl-regression-house-pricing-in-pipeline.ipynb
@ -144,7 +144,7 @@
    "        command=\"python register.py \"\n",
    "        + \"--model_input_path ${{inputs.model_input_path}} \"\n",
    "        + \"--model_base_name ${{inputs.model_base_name}}\",\n",
-    "        environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1\",\n",
+    "        environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    )\n",
    "    register_model = command_func(model_input_path=regression_node.outputs.best_model)\n",
    "\n",
--- a/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-text-classification-in-pipeline/automl-text-classification-in-pipeline.ipynb
+++ b/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-text-classification-in-pipeline/automl-text-classification-in-pipeline.ipynb
@ -149,7 +149,7 @@
    "        command=\"python register.py \"\n",
    "        + \"--model_input_path ${{inputs.model_input_path}} \"\n",
    "        + \"--model_base_name ${{inputs.model_base_name}}\",\n",
-    "        environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1\",\n",
+    "        environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    )\n",
    "    register_model = command_func(\n",
    "        model_input_path=text_classification_node.outputs.best_model\n",
--- a/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-text-classification-multilabel-in-pipeline/automl-text-classification-multilabel-in-pipeline.ipynb
+++ b/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-text-classification-multilabel-in-pipeline/automl-text-classification-multilabel-in-pipeline.ipynb
@ -148,7 +148,7 @@
    "        command=\"python register.py \"\n",
    "        + \"--model_input_path ${{inputs.model_input_path}} \"\n",
    "        + \"--model_base_name ${{inputs.model_base_name}}\",\n",
-    "        environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1\",\n",
+    "        environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    )\n",
    "    register_model = command_func(\n",
    "        model_input_path=text_classification_multilabel_node.outputs.best_model\n",
--- a/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-text-ner-named-entity-recognition-in-pipeline/automl-text-ner-named-entity-recognition-in-pipeline.ipynb
+++ b/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-text-ner-named-entity-recognition-in-pipeline/automl-text-ner-named-entity-recognition-in-pipeline.ipynb
@ -145,7 +145,7 @@
    "        command=\"python register.py \"\n",
    "        + \"--model_input_path ${{inputs.model_input_path}} \"\n",
    "        + \"--model_base_name ${{inputs.model_base_name}}\",\n",
-    "        environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1\",\n",
+    "        environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    )\n",
    "    register_model = command_func(model_input_path=text_ner_node.outputs.best_model)\n",
    "\n",
--- a/sdk/python/jobs/pipelines/1i_pipeline_with_spark_nodes/pipeline_with_spark_nodes.ipynb
+++ b/sdk/python/jobs/pipelines/1i_pipeline_with_spark_nodes/pipeline_with_spark_nodes.ipynb
@ -137,7 +137,7 @@
    "show_output_component = command(\n",
    "    inputs=dict(spark_output=Input(type=AssetTypes.URI_FOLDER)),\n",
    "    command=\"ls ${{inputs.spark_output}}\",\n",
-    "    environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:1\",\n",
+    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    ")"
   ]
  },
--- a/sdk/python/jobs/pipelines/2a_train_mnist_with_tensorflow/src/component.py
+++ b/sdk/python/jobs/pipelines/2a_train_mnist_with_tensorflow/src/component.py
@ -12,7 +12,7 @@ from mldesigner import command_component, Output
    description="Train a basic neural network with TensorFlow on the MNIST dataset, distributed via TensorFlow.",
    environment=dict(
        conda_file=Path(__file__).parent / "conda.yaml",
-        image="mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04",
+        image="mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04",
    ),
    distribution={"type": "tensorflow", "worker_count": 2},
 )
--- a/sdk/python/jobs/pipelines/2c_nyc_taxi_data_regression/predict.yml
+++ b/sdk/python/jobs/pipelines/2c_nyc_taxi_data_regression/predict.yml
@ -12,7 +12,7 @@ inputs:
 outputs:
  predictions:
    type: uri_folder
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
 code: ./predict_src
 command: >-
  python predict.py 
--- a/sdk/python/jobs/pipelines/2c_nyc_taxi_data_regression/prep.yml
+++ b/sdk/python/jobs/pipelines/2c_nyc_taxi_data_regression/prep.yml
@ -11,7 +11,7 @@ outputs:
  prep_data:
    type: uri_folder
 code: ./prep_src
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
 command: >-
  python prep.py 
  --raw_data ${{inputs.raw_data}} 
--- a/sdk/python/jobs/pipelines/2c_nyc_taxi_data_regression/score.yml
+++ b/sdk/python/jobs/pipelines/2c_nyc_taxi_data_regression/score.yml
@ -12,7 +12,7 @@ inputs:
 outputs:
  score_report:
    type: uri_folder
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
 code: ./score_src
 command: >-
  python score.py 
--- a/sdk/python/jobs/pipelines/2c_nyc_taxi_data_regression/train.yml
+++ b/sdk/python/jobs/pipelines/2c_nyc_taxi_data_regression/train.yml
@ -13,7 +13,7 @@ outputs:
  test_data:
    type: uri_folder
 code: ./train_src
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
 command: >-
  python train.py 
  --training_data ${{inputs.training_data}} 
--- a/sdk/python/jobs/pipelines/2c_nyc_taxi_data_regression/transform.yml
+++ b/sdk/python/jobs/pipelines/2c_nyc_taxi_data_regression/transform.yml
@ -11,7 +11,7 @@ outputs:
  transformed_data:
    type: uri_folder
 code: ./transform_src
-environment: azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest
+environment: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
 command: >-
  python transform.py 
  --clean_data ${{inputs.clean_data}} 
--- a/sdk/python/jobs/pipelines/2d_image_classification_with_densenet/apply_image_transformation/apply_image_transformation.yaml
+++ b/sdk/python/jobs/pipelines/2d_image_classification_with_densenet/apply_image_transformation/apply_image_transformation.yaml
@ -29,4 +29,4 @@ command: >-

 environment:
  conda_file: ./conda.yaml
-  image: mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20211124.v1
+  image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:latest
--- a/sdk/python/jobs/pipelines/2d_image_classification_with_densenet/convert_to_image_directory/convert_to_image_directory.yaml
+++ b/sdk/python/jobs/pipelines/2d_image_classification_with_densenet/convert_to_image_directory/convert_to_image_directory.yaml
@ -22,4 +22,4 @@ command: >-

 environment:
  conda_file: ./conda.yaml
-  image: mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20211124.v1
+  image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:latest
--- a/sdk/python/jobs/pipelines/2d_image_classification_with_densenet/init_image_transformation/init_image_transformation.yaml
+++ b/sdk/python/jobs/pipelines/2d_image_classification_with_densenet/init_image_transformation/init_image_transformation.yaml
@ -105,4 +105,4 @@ command: >-

 environment:
  conda_file: ./conda.yaml
-  image: mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20211124.v1
+  image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:latest
--- a/sdk/python/jobs/pipelines/2e_image_classification_keras_minist_convnet/prep/prep_component.py
+++ b/sdk/python/jobs/pipelines/2e_image_classification_keras_minist_convnet/prep/prep_component.py
@ -11,7 +11,7 @@ from mldesigner import command_component, Input, Output
    description="Convert data to CSV file, and split to training and test data",
    environment=dict(
        conda_file=Path(__file__).parent / "conda.yaml",
-        image="mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04",
+        image="mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04",
    ),
 )
 def prepare_data_component(
--- a/sdk/python/jobs/pipelines/2e_image_classification_keras_minist_convnet/score/score.yaml
+++ b/sdk/python/jobs/pipelines/2e_image_classification_keras_minist_convnet/score/score.yaml
@ -15,5 +15,5 @@ code: ./
 command: python score.py --input_data ${{inputs.input_data}} --input_model ${{inputs.input_model}} --output_result ${{outputs.output_result}}
 environment:
  conda_file: ./conda.yaml
-  image: mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04
+  image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04

--- a/sdk/python/jobs/pipelines/2e_image_classification_keras_minist_convnet/train/train_component.py
+++ b/sdk/python/jobs/pipelines/2e_image_classification_keras_minist_convnet/train/train_component.py
@ -10,7 +10,7 @@ from mldesigner import command_component, Input, Output
    description="train image classification with keras",
    environment=dict(
        conda_file=Path(__file__).parent / "conda.yaml",
-        image="mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04",
+        image="mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04",
    ),
 )
 def keras_train_component(
--- a/sdk/python/jobs/pipelines/2f_rai_pipeline_sample/rai_pipeline_sample.ipynb
+++ b/sdk/python/jobs/pipelines/2f_rai_pipeline_sample/rai_pipeline_sample.ipynb
@ -119,7 +119,7 @@
    "    from azure.ai.ml.entities import Environment\n",
    "\n",
    "    environment = Environment(\n",
-    "        image=\"mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20220303.v1\",\n",
+    "        image=\"mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:latest\",\n",
    "        conda_file=f\"{rai_cli_example_path}/environment/conda_envs/python-aml-rai.yaml\",\n",
    "        name=environment_name,\n",
    "        version=\"1\",\n",
--- a/sdk/python/jobs/single-step/pytorch/distributed-training/distributed-cifar10.ipynb
+++ b/sdk/python/jobs/single-step/pytorch/distributed-training/distributed-cifar10.ipynb
@ -274,7 +274,7 @@
    "    command=\"python read_write_data.py --input_data ${{inputs.cifar_zip}} --output_folder ${{outputs.cifar}}\",\n",
    "    inputs=inputs,\n",
    "    outputs=outputs,\n",
-    "    environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:9\",\n",
+    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    compute=\"cpu-cluster\",\n",
    ")\n",
    "\n",
--- a/sdk/python/jobs/single-step/pytorch/iris/pytorch-iris.ipynb
+++ b/sdk/python/jobs/single-step/pytorch/iris/pytorch-iris.ipynb
@ -119,7 +119,7 @@
    "        \"epochs\": 10,\n",
    "        \"lr\": 0.1,\n",
    "    },\n",
-    "    environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest\",\n",
+    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest\",\n",
    "    compute=\"cpu-cluster\",\n",
    "    display_name=\"pytorch-iris-example\",\n",
    "    description=\"Train a neural network with PyTorch on the Iris dataset.\",\n",
--- a/sdk/python/jobs/single-step/scikit-learn/diabetes/sklearn-diabetes.ipynb
+++ b/sdk/python/jobs/single-step/scikit-learn/diabetes/sklearn-diabetes.ipynb
@ -163,7 +163,7 @@
    "            path=\"https://azuremlexamples.blob.core.windows.net/datasets/diabetes.csv\",\n",
    "        )\n",
    "    },\n",
-    "    environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest\",\n",
+    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest\",\n",
    "    compute=\"cpu-cluster\",\n",
    "    display_name=\"sklearn-diabetes-example\",\n",
    "    # description,\n",
--- a/sdk/python/jobs/single-step/scikit-learn/iris/iris-scikit-learn.ipynb
+++ b/sdk/python/jobs/single-step/scikit-learn/iris/iris-scikit-learn.ipynb
@ -177,7 +177,7 @@
    "        # }\n",
    "        # ) # uncomment add SSH Public Key to access job container via SSH\n",
    "    },\n",
-    "    environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest\",\n",
+    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest\",\n",
    "    compute=\"cpu-cluster\",\n",
    "    display_name=\"sklearn-iris-example\",\n",
    "    # experiment_name\n",
--- a/sdk/python/jobs/single-step/scikit-learn/mnist/sklearn-mnist.ipynb
+++ b/sdk/python/jobs/single-step/scikit-learn/mnist/sklearn-mnist.ipynb
@ -128,7 +128,7 @@
    "    code=\"./src\",  # local path where the code is stored\n",
    "    command=\"pip install -r requirements.txt && python main.py --C ${{inputs.C}} --penalty ${{inputs.penalty}}\",\n",
    "    inputs={\"C\": 0.8, \"penalty\": \"l2\"},\n",
-    "    environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest\",\n",
+    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest\",\n",
    "    compute=\"cpu-cluster\",\n",
    "    display_name=\"sklearn-mnist-example\"\n",
    "    # experiment_name: sklearn-mnist-example\n",
--- a/sdk/python/jobs/single-step/scikit-learn/train-hyperparameter-tune-deploy-with-sklearn/train-hyperparameter-tune-with-sklearn.ipynb
+++ b/sdk/python/jobs/single-step/scikit-learn/train-hyperparameter-tune-deploy-with-sklearn/train-hyperparameter-tune-with-sklearn.ipynb
@ -258,7 +258,7 @@
    "    name=custom_env_name,\n",
    "    description=\"Custom environment for sklearn image classification\",\n",
    "    conda_file=os.path.join(dependencies_dir, \"conda.yml\"),\n",
-    "    image=\"mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:latest\",\n",
+    "    image=\"mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:latest\",\n",
    ")\n",
    "job_env = ml_client.environments.create_or_update(job_env)\n",
    "\n",
--- a/sdk/python/jobs/single-step/tensorflow/train-hyperparameter-tune-deploy-with-keras/train-hyperparameter-tune-deploy-with-keras.ipynb
+++ b/sdk/python/jobs/single-step/tensorflow/train-hyperparameter-tune-deploy-with-keras/train-hyperparameter-tune-deploy-with-keras.ipynb
@ -268,7 +268,7 @@
    "    name=custom_env_name,\n",
    "    description=\"Custom environment for keras image classification\",\n",
    "    conda_file=os.path.join(dependencies_dir, \"conda.yml\"),\n",
-    "    image=\"mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:latest\",\n",
+    "    image=\"mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:latest\",\n",
    ")\n",
    "job_env = ml_client.environments.create_or_update(job_env)\n",
    "\n",
--- a/tutorials/e2e-distributed-pytorch-image/e2e-object-classification-distributed-pytorch.ipynb
+++ b/tutorials/e2e-distributed-pytorch-image/e2e-object-classification-distributed-pytorch.ipynb
@ -239,7 +239,7 @@
    "        ),\n",
    "    },\n",
    "    # we're using a curated environment\n",
-    "    environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:9\",\n",
+    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    compute=\"cpu-cluster\",\n",
    ")"
   ]
@ -321,7 +321,7 @@
    "        ),\n",
    "    },\n",
    "    # we're using a curated environment\n",
-    "    environment=\"AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:9\",\n",
+    "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\",\n",
    "    compute=\"cpu-cluster-lg\",\n",
    ")\n",
    "\n",
--- a/tutorials/e2e-ds-experience/e2e-ml-workflow.ipynb
+++ b/tutorials/e2e-ds-experience/e2e-ml-workflow.ipynb
@ -398,7 +398,7 @@
    "    description=\"Custom environment for Credit Card Defaults pipeline\",\n",
    "    tags={\"scikit-learn\": \"0.24.2\"},\n",
    "    conda_file=os.path.join(dependencies_dir, \"conda.yml\"),\n",
-    "    image=\"mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:latest\",\n",
+    "    image=\"mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:latest\",\n",
    "    version=\"1.0\",\n",
    ")\n",
    "pipeline_job_env = ml_client.environments.create_or_update(pipeline_job_env)\n",
@ -776,7 +776,7 @@
    "code: .\n",
    "environment:\n",
    "  # for this step, we'll use an AzureML curate environment\n",
-    "  azureml:AzureML-sklearn-0.24-ubuntu18.04-py37-cpu:21\n",
+    "  azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1\n",
    "command: >-\n",
    "  python train.py \n",
    "  --train_data ${{inputs.train_data}} \n",