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Add benchmarking folder with common config set ups
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‎benchmarking/benchmark-values.yaml‎

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job:
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image:
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repository: quay.io/inference-perf/inference-perf
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tag: "latest" # Defaults to .Chart.AppVersion
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serviceAccountName: ""
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nodeSelector: {}
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# Example resources:
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# resources:
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# requests:
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# cpu: "1"
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# memory: "4Gi"
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# limits:
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# cpu: "2"
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# memory: "8Gi"
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resources: {}
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logLevel: INFO
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# A GCS bucket path that points to the dataset file.
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# The file will be copied from this path to the local file system
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# at /dataset/dataset.json for use during the run.
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# NOTE: For this dataset to be used, config.data.path must also be explicitly set to /dataset/dataset.json.
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gcsPath: ""
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# hfToken optionally creates a secret with the specified token.
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# Can be set using helm install --set hftoken=<token>
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hfToken: ""
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config:
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load:
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type: constant
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interval: 15
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stages:
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- rate: 10
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duration: 20
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- rate: 20
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duration: 20
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- rate: 30
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duration: 20
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api:
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type: completion
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streaming: true
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server:
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type: vllm
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model_name: meta-llama/Llama-3.1-8B-Instruct
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base_url: http://0.0.0.0:8000
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ignore_eos: true
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tokenizer:
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pretrained_model_name_or_path: meta-llama/Llama-3.1-8B-Instruct
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data:
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type: shareGPT
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metrics:
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type: prometheus
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prometheus:
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google_managed: true
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report:
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request_lifecycle:
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summary: true
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per_stage: true
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per_request: true
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prometheus:
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summary: true
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per_stage: true

‎benchmarking/benchmark.ipynb‎

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‎benchmarking/download-gcs-results.bash‎

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#!/bin/bash
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# Downloads a file from a GCS bucket.
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# Check if GCS_BUCKET is provided as an argument
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if [ -z "$1" ]; then
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echo "Usage: $0 <GCS_BUCKET> [GCS_FOLDER_PATH:DEFAULT=benchmark_results]"
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exit 1
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fi
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GCS_BUCKET="$1"
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GCS_FOLDER_PATH="${2:-benchmark_results/}" # Default to benchmark_results/ if not provided
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# Env vars to be passed when calling this script.
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# The id of the benchmark. This is needed to identify what the benchmark is for.
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# It decides the filepath to save the results, which later is used by the jupyter notebook to assign
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# the benchmark_id as data labels for plotting.
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benchmark_id=${benchmark_id:-"inference-extension"}
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# run_id can be used to group different runs of the same benchmarks for comparison.
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run_id=${run_id:-"default-run"}
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output_dir=${output_dir:-'output'}
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SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )"
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benchmark_output_dir=${SCRIPT_DIR}/${output_dir}/${run_id}/${benchmark_id}
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echo "Creating output directory: ${benchmark_output_dir}/results/json/"
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mkdir -p "${benchmark_output_dir}/results/json/"
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echo "Downloading gs://${GCS_BUCKET}/${GCS_FOLDER_PATH} to ${benchmark_output_dir}/results/json/"
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gsutil cp -r "gs://${GCS_BUCKET}/${GCS_FOLDER_PATH}" "${benchmark_output_dir}/results/json/"
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echo "Download complete."

‎benchmarking/inference-perf/.helmignore‎

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# Patterns to ignore when building packages.
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# This supports shell glob matching, relative path matching, and
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# negation (prefixed with !). Only one pattern per line.
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.DS_Store
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# Common VCS dirs
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.git/
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.gitignore
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.bzr/
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.bzrignore
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.hg/
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.hgignore
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.svn/
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# Common backup files
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*.swp
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*.bak
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*.tmp
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*.orig
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*~
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# Various IDEs
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.project
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.idea/
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*.tmproj
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.vscode/

‎benchmarking/inference-perf/Chart.yaml‎

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apiVersion: v2
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name: inference-perf
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description: A Helm chart for running inference-perf benchmarking tool
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type: application
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version: 0.2.0
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appVersion: "0.2.0"

‎benchmarking/inference-perf/README.md‎

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## 🚀 Deploying `inference-perf` via Helm Chart
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This guide explains how to deploy `inference-perf` to a Kubernetes cluster with Helm.
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Note: This is a temporary chart added until remote chart is available.
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---
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### 1. Prerequisites
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Make sure you have the following tools installed and configured:
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* **Kubernetes Cluster:** Access to a functional cluster (e.g., GKE).
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* **Helm:** The Helm CLI installed locally.
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---
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### 2. Configuration (`values.yaml`)
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Before deployment, navigate to the **`deploy/inference-perf`** directory and edit the **`values.yaml`** file to customize your deployment and the benchmark parameters.
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#### Optional Parameters
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| Key | Description | Default |
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| :--- | :--- | :--- |
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| `hfToken` | Hugging Face API token. If provided, a Kubernetes `Secret` named `hf-token-secret` will be created for authentication. | `""` |
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| `serviceAccountName` | Standard Kubernetes `serviceAccountName`. If not provided, default service account is used. | `""` |
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| `nodeSelector` | Standard Kubernetes `nodeSelector` map to constrain pod placement to nodes with matching labels. | `{}` |
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| `resources` | Standard Kubernetes resource requests and limits for the main `inference-perf` container. | `{}` |
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---
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> **Example Resource Block:**
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> ```yaml
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> # resources:
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> # requests:
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> # cpu: "1"
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> # memory: "4Gi"
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> # limits:
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> # cpu: "2"
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> # memory: "8Gi"
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> ```
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#### GKE Specific Parameters
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This section details the necessary configuration and permissions for using a Google Cloud Storage (GCS) path to manage your dataset, typical for deployments on GKE.
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##### Required IAM Permissions
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The identity executing the workload (e.g., the associated Kubernetes Service Account, often configured via **Workload Identity**) must possess the following IAM roles on the target GCS bucket for data transfer:
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* **`roles/storage.objectViewer`** (Required to read/download the input dataset from GCS).
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* **`roles/storage.objectCreator`** (Required to write/push benchmark results back to GCS).
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| Key | Description | Default |
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| :--- | :--- | :--- |
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| `gcsPath` | A GCS URI pointing to the dataset file (e.g., `gs://my-bucket/dataset.json`). The file will be automatically copied to the running pod during initialization. | `""` |
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---
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### 3. Run Deployment
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Use the **`helm install`** command from the **`deploy/inference-perf`** directory to deploy the chart.
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* **Standard Install:** Deploy using the default `values.yaml`.
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```bash
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helm install test .
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```
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* **Set `hfToken` Override:** Pass the Hugging Face token directly.
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```bash
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helm install test . --set hfToken="<TOKEN>"
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```
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* **Custom Config Override:** Make changes to the values file for custom settings.
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```bash
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helm install test . -f values.yaml
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```
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### 4. Cleanup
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To remove the benchmark deployment.
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```bash
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helm uninstall test
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```

‎benchmarking/inference-perf/templates/_helpers.tpl‎

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{{/*
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Expand the name of the chart.
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*/}}
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{{- define "inference-perf.name" -}}
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{{- default .Chart.Name .Values.nameOverride | trunc 63 | trimSuffix "-" }}
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{{- end }}
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{{/*
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Create a default fully qualified app name.
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We truncate at 63 chars because some Kubernetes name fields are limited to this (by the DNS naming spec).
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If release name contains chart name it will be used as a full name.
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*/}}
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{{- define "inference-perf.fullname" -}}
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{{- if .Values.fullnameOverride }}
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{{- .Values.fullnameOverride | trunc 63 | trimSuffix "-" }}
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{{- else }}
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{{- $name := default .Chart.Name .Values.nameOverride }}
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{{- if contains $name .Release.Name }}
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{{- .Release.Name | trunc 63 | trimSuffix "-" }}
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{{- else }}
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{{- printf "%s-%s" .Release.Name $name | trunc 63 | trimSuffix "-" }}
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{{- end }}
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{{- end }}
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{{- end }}
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{{/*
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Create chart name and version as used by the chart label.
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*/}}
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{{- define "inference-perf.chart" -}}
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{{- printf "%s-%s" .Chart.Name .Chart.Version | replace "+" "_" | trunc 63 | trimSuffix "-" }}
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{{- end }}
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{{/*
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Common labels
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*/}}
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{{- define "inference-perf.labels" -}}
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helm.sh/chart: {{ include "inference-perf.chart" . }}
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{{ include "inference-perf.selectorLabels" . }}
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{{- if .Chart.AppVersion }}
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app.kubernetes.io/version: {{ .Chart.AppVersion | quote }}
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{{- end }}
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app.kubernetes.io/managed-by: {{ .Release.Service }}
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{{- end }}
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{{/*
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Selector labels
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*/}}
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{{- define "inference-perf.selectorLabels" -}}
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app.kubernetes.io/name: {{ include "inference-perf.name" . }}
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app.kubernetes.io/instance: {{ .Release.Name }}
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{{- end }}
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{{/*
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Common Secret Name for HuggingFace credentials
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*/}}
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{{- define "inference-perf.hfSecret" -}}
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{{ include "inference-perf.fullname" . }}-hf-secret
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{{- end -}}
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{{/*
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Common Secret Key for HuggingFace credentials
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*/}}
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{{- define "inference-perf.hfKey" -}}
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{{ include "inference-perf.fullname" . }}-hf-key
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{{- end -}}
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{{/*
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Mount path for config map
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*/}}
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{{- define "inference-perf.configMount" -}}
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/cfg
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{{- end -}}

‎benchmarking/inference-perf/templates/configmap.yaml‎

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# inference-perf/templates/configmap.yaml
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: {{ include "inference-perf.fullname" . }}-config
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labels:
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{{- include "inference-perf.labels" . | nindent 4 }}
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data:
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config.yml: |
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{{- toYaml .Values.config | nindent 4 }}

‎benchmarking/inference-perf/templates/job.yaml‎

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# inference-perf/templates/job.yaml
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apiVersion: batch/v1
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kind: Job
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metadata:
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name: {{ include "inference-perf.fullname" . }}-job
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labels:
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{{- include "inference-perf.labels" . | nindent 4 }}
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app: inference-perf
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spec:
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template:
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metadata:
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labels:
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{{- include "inference-perf.selectorLabels" . | nindent 8 }}
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app: inference-perf
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spec:
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restartPolicy: Never
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serviceAccountName: {{ .Values.job.serviceAccountName }}
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{{- with .Values.job.nodeSelector }}
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nodeSelector:
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{{- toYaml . | nindent 8 }}
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{{- end }}
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{{- if .Values.gcsPath}}
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initContainers:
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- name: fetch-dataset
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image: google/cloud-sdk:latest
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command: ["sh", "-c", "gsutil cp {{ .Values.gcsPath }} /dataset/dataset.json"]
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volumeMounts:
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- name: dataset-volume
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mountPath: /dataset
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{{- end }}
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containers:
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- name: inference-perf-container
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image: "{{ .Values.job.image.repository }}:{{ .Values.job.image.tag | default .Chart.AppVersion }}"
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command: ["inference-perf"]
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args:
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- "--config_file"
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- "{{ include "inference-perf.configMount" . }}/config.yml"
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- "--log-level"
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- {{ .Values.logLevel }}
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env:
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{{- if .Values.hfToken }}
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- name: HF_TOKEN
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valueFrom:
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secretKeyRef:
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name: {{ include "inference-perf.hfSecret" . }}
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key: {{ include "inference-perf.hfKey" . }}
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{{- end }}
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volumeMounts:
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- name: config-volume
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mountPath: {{ include "inference-perf.configMount" . }}
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readOnly: true
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resources:
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{{- toYaml .Values.job.resources | nindent 12 }}
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volumes:
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- name: config-volume
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configMap:
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name: {{ include "inference-perf.fullname" . }}-config

‎benchmarking/inference-perf/templates/secret.yaml‎

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# inference-perf/templates/secret.yaml
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{{- if .Values.hfToken }}
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apiVersion: v1
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kind: Secret
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metadata:
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name: {{ include "inference-perf.hfSecret" . }}
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labels:
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{{- include "inference-perf.labels" . | nindent 4 }}
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type: Opaque
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stringData:
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{{ include "inference-perf.hfKey" . }}: {{ .Values.hfToken | quote }}
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{{- end }}

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