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pipelines/components/aws/sagemaker/create_simulation_app
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Thang Minh Vu 328edd8117
fix(components): make inputs.model_artifact_url optional in sagemaker model component (#8336) 
* fix(components): make inputs.model_artifact_url optional in sagemaker model component

* chore: run black

* Fixed Stop bug

commit f2092382ee941c2f33935db3e886093a15f103f7
Author: ananth102 <abashyam@amazon.com>
Date:   Fri Oct 7 19:51:55 2022 +0000

    replaced image

commit 2f0e2daa54fe80a3dfc471d393be62d612217b84
Merge: bf2389a66 7ce165432
Author: ananth102 <abashyam@amazon.com>
Date:   Fri Oct 7 19:50:28 2022 +0000

    Merge remote-tracking branch 'stopfix/handle_stopped' into kfpv1fixes2

commit 7ce165432e
Author: Kartik Kalamadi <kalamadi@amazon.com>
Date:   Thu Mar 3 09:58:16 2022 -0800

    Run black

commit 32d6e1388a
Author: Kartik Kalamadi <kalamadi@amazon.com>
Date:   Tue Mar 1 15:25:32 2022 -0800

    Change image for testing

commit 7875d9aa27
Author: Kartik Kalamadi <kalamadi@amazon.com>
Date:   Mon Jan 31 09:29:50 2022 -0800

    Handle Stopped state for all components and fix bug in robomaker simulation function

* chore(docs): Update model README.md

Update README

* updated image and liscense

* chore: pop ModelDataUrl if not exist

* fix: make field as option in aws batch_transform component

chore: run black

chore: revert docker version pump up

chore(docs): update valid instance types

Remove key if not use

Pop KmsKeyId

* update changelog

* chore: pop DataProcessing if no value supplied

* test(components): Update test

* fix(batch_transform): only pop input and output

* fixed log bug

Co-authored-by: ananth102 <abashyam@amazon.com>
 		2022-10-14 22:12:49 +00:00
..
src feat(components) Adds RoboMaker and SageMaker RLEstimator components (#4813) 2020-12-11 13:27:27 -08:00
README.md feat(components) Adds RoboMaker and SageMaker RLEstimator components (#4813) 2020-12-11 13:27:27 -08:00
component.yaml fix(components): make inputs.model_artifact_url optional in sagemaker model component (#8336) 2022-10-14 22:12:49 +00:00

README.md

RoboMaker Create Simulation Application Kubeflow Pipelines component

Summary

Component to create RoboMaker Simulation Application's from a Kubeflow Pipelines workflow. https://docs.aws.amazon.com/robomaker/latest/dg/create-simulation-application.html

Intended Use

For running your simulation workloads using AWS RoboMaker.

Runtime Arguments

Argument Description Optional Data type Accepted values Default
region The region where the cluster launches No String
endpoint_url The endpoint URL for the private link VPC endpoint Yes String
assume_role The ARN of an IAM role to assume when connecting to SageMaker Yes String
app_name The name of the simulation application. Must be unique within the same AWS account and AWS region Yes String SimulationApplication-[datetime]-[random id]
role The Amazon Resource Name (ARN) that Amazon RoboMaker assumes to perform tasks on your behalf No String
sources The code sources of the simulation application No String
simulation_software_name The simulation software used by the simulation application No Dict {}
simulation_software_version The simulation software version used by the simulation application No Dict {}
robot_software_name The robot software (ROS distribution) used by the simulation application No Dict {}
robot_software_version The robot software version (ROS distribution) used by the simulation application No Dict {}
rendering_engine_name The rendering engine for the simulation application Yes Dict {}
rendering_engine_version The rendering engine version for the simulation application Yes Dict {}
tags Key-value pairs to categorize AWS resources Yes Dict {}

Notes:

[
    {
        "s3Bucket": "string",
        "s3Key": "string",
        "architecture": "string",
    }
]

Output

The ARN of the created Simulation Application. This can be passed as an input to other components such as RoboMaker Simulation Job.

Example code

Example of creating a Sim app, then a Sim job and finally deleting the Sim app : robomaker_simulation_job_app

Resources