removing torchserve-huggingface-textgen workflow and its references (#3382)
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# This code is autogenerated.
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# Code is generated by running custom script: python3 readme.py
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# Any manual changes to this file may cause incorrect behavior.
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# Any manual changes will be overwritten if the code is regenerated.
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name: cli-scripts-deploy-custom-container-torchserve-huggingface-textgen
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on:
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workflow_dispatch:
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schedule:
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- cron: "54 0/12 * * *"
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pull_request:
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branches:
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- main
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paths:
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- cli/deploy-custom-container-torchserve-huggingface-textgen.sh
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- infra/bootstrapping/**
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- .github/workflows/cli-scripts-deploy-custom-container-torchserve-huggingface-textgen.yml
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- cli/setup.sh
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permissions:
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id-token: write
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concurrency:
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group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
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cancel-in-progress: true
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jobs:
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build:
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runs-on: ubuntu-latest
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steps:
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- name: check out repo
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uses: actions/checkout@v2
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- name: azure login
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uses: azure/login@v1
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with:
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client-id: ${{ secrets.OIDC_AZURE_CLIENT_ID }}
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tenant-id: ${{ secrets.OIDC_AZURE_TENANT_ID }}
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subscription-id: ${{ secrets.OIDC_AZURE_SUBSCRIPTION_ID }}
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- name: bootstrap resources
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run: |
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bash bootstrap.sh
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working-directory: infra/bootstrapping
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continue-on-error: false
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- name: setup-cli
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run: |
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source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh";
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source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh";
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bash setup.sh
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working-directory: cli
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continue-on-error: true
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- name: Eagerly cache access tokens for required scopes
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run: |
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# Workaround for azure-cli's lack of support for ID token refresh
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# Taken from: https://github.com/Azure/login/issues/372#issuecomment-2056289617
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# Management
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az account get-access-token --scope https://management.azure.com/.default --output none
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# ML
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az account get-access-token --scope https://ml.azure.com/.default --output none
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- name: validate readme
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run: |
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python check-readme.py "${{ github.workspace }}/cli/"
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working-directory: infra/bootstrapping
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continue-on-error: false
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- name: test script script
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run: |
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source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh";
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source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh";
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set -e; bash -x deploy-custom-container-torchserve-huggingface-textgen.sh
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working-directory: cli
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@ -45,7 +45,6 @@ path|status|
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[deploy-custom-container-tfserving-half-plus-two-integrated.sh](deploy-custom-container-tfserving-half-plus-two-integrated.sh)|[![deploy-custom-container-tfserving-half-plus-two-integrated](https://github.com/Azure/azureml-examples/workflows/cli-scripts-deploy-custom-container-tfserving-half-plus-two-integrated/badge.svg?branch=main)](https://github.com/Azure/azureml-examples/actions/workflows/cli-scripts-deploy-custom-container-tfserving-half-plus-two-integrated.yml)
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[deploy-custom-container-tfserving-half-plus-two.sh](deploy-custom-container-tfserving-half-plus-two.sh)|[![deploy-custom-container-tfserving-half-plus-two](https://github.com/Azure/azureml-examples/workflows/cli-scripts-deploy-custom-container-tfserving-half-plus-two/badge.svg?branch=main)](https://github.com/Azure/azureml-examples/actions/workflows/cli-scripts-deploy-custom-container-tfserving-half-plus-two.yml)
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[deploy-custom-container-torchserve-densenet.sh](deploy-custom-container-torchserve-densenet.sh)|[![deploy-custom-container-torchserve-densenet](https://github.com/Azure/azureml-examples/workflows/cli-scripts-deploy-custom-container-torchserve-densenet/badge.svg?branch=main)](https://github.com/Azure/azureml-examples/actions/workflows/cli-scripts-deploy-custom-container-torchserve-densenet.yml)
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[deploy-custom-container-torchserve-huggingface-textgen.sh](deploy-custom-container-torchserve-huggingface-textgen.sh)|[![deploy-custom-container-torchserve-huggingface-textgen](https://github.com/Azure/azureml-examples/workflows/cli-scripts-deploy-custom-container-torchserve-huggingface-textgen/badge.svg?branch=main)](https://github.com/Azure/azureml-examples/actions/workflows/cli-scripts-deploy-custom-container-torchserve-huggingface-textgen.yml)
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[deploy-custom-container-triton-single-model.sh](deploy-custom-container-triton-single-model.sh)|[![deploy-custom-container-triton-single-model](https://github.com/Azure/azureml-examples/workflows/cli-scripts-deploy-custom-container-triton-single-model/badge.svg?branch=main)](https://github.com/Azure/azureml-examples/actions/workflows/cli-scripts-deploy-custom-container-triton-single-model.yml)
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[deploy-local-endpoint.sh](deploy-local-endpoint.sh)|[![deploy-local-endpoint](https://github.com/Azure/azureml-examples/workflows/cli-scripts-deploy-local-endpoint/badge.svg?branch=main)](https://github.com/Azure/azureml-examples/actions/workflows/cli-scripts-deploy-local-endpoint.yml)
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[deploy-managed-online-endpoint-access-resource-sai.sh](deploy-managed-online-endpoint-access-resource-sai.sh)|[![deploy-managed-online-endpoint-access-resource-sai](https://github.com/Azure/azureml-examples/workflows/cli-scripts-deploy-managed-online-endpoint-access-resource-sai/badge.svg?branch=main)](https://github.com/Azure/azureml-examples/actions/workflows/cli-scripts-deploy-managed-online-endpoint-access-resource-sai.yml)
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@ -15,6 +15,5 @@ Each example consists of a script located in the [CLI](../../..) directory as we
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|[r/multimodel-plumber](r/multimodel-plumber)|[deploy-custom-container-r-multimodel-plumber](../../../deploy-custom-container-r-multimodel-plumber.sh)|Deploy three regression models to one endpoint using the Plumber R package|
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|[tfserving/half-plus-two](tfserving/half-plus-two)|[deploy-custom-container-tfserving-half-plus-two](../../../deploy-custom-container-tfserving-half-plus-two.sh)|Deploy a simple Half Plus Two model using a TFServing custom container using the standard model registration process.|
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|[tfserving/half-plus-two-integrated](tfserving/half-plus-two-integrated)|[deploy-custom-container-tfserving-half-plus-two-integrated](../../../deploy-custom-container-tfserving-half-plus-two-integrated.sh)|Deploy a simple Half Plus Two model using a TFServing custom container with the model integrated into the image.|
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|[torchserve/densenet](torchserve/densenet)|[deploy-custom-container-torchserve-densenet](../../../deploy-custom-container-torchserve-densenet.sh)|Deploy a single model using a Torchserve custom container.|
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|[torchserve/huggingface-textgen](torchserve/huggingface-textgen)|[deploy-custom-container-torchserve-huggingface-textgen](../../../deploy-custom-container-torchserve-huggingface-textgen.sh)|Deploy Huggingface models to an online endpoint and follow along with the Huggingface Transformers Torchserve example.|
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|[torchserve/densenet](torchserve/densenet)|[deploy-custom-container-torchserve-densenet](../../../deploy-custom-container-torchserve-densenet.sh)|Deploy a single model using a Torchserve custom container.|
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|[triton/single-model](triton/single-model)|[deploy-custom-container-triton-single-model](../../../deploy-custom-container-triton-single-model.sh)|Deploy a Triton model using a custom container|
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