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Train

Train #108

Workflow file for this run

name: Train
on:
workflow_dispatch:
inputs:
MODEL_NAME:
description: 'Model name (suggested format: <country>-<region>-<year>)'
required: true
type: string
EVAL_DATASETS:
description: 'Evaluation dataset(s): (single spaced comma separated)'
required: true
type: string
BBOX:
description: 'Bounding box name'
required: true
type: string
OPTIONAL_MODEL_ARGS:
description: 'Optional model args'
required: false
default: ''
type: string
jobs:
train:
runs-on: ubuntu-latest
defaults:
run:
shell: bash -l {0}
env:
# Keys
WANDB_API_KEY: ${{ secrets.WANDB_API_KEY }}
# Script inputs
MODEL_NAME: ${{ inputs.MODEL_NAME }}
EVAL_DATASETS: ${{ inputs.EVAL_DATASETS }}
BBOX: ${{ inputs.BBOX }}
OPTIONAL_MODEL_ARGS: ${{ inputs.OPTIONAL_MODEL_ARGS }}
steps:
- uses: actions/checkout@v3
- name: Setup environment
uses: mamba-org/provision-with-micromamba@main
with:
environment-file: environment-dev.yml
environment-name: landcover-mapping
cache-env: true
- name: Login to Weights and Biases
run: wandb login $WANDB_API_KEY
- name: Authenticate to Google Cloud
uses: google-github-actions/auth@v1
with:
credentials_json: ${{ secrets.GCP_SA_KEY }}
- name: Setup Google Cloud SDK
uses: google-github-actions/setup-gcloud@v1
- name: Setup DVC
uses: iterative/setup-dvc@v1
- name: Pull latest data
run: dvc pull data/datasets data/models
- name: Train model
run: |
python train.py \
--model_name "$MODEL_NAME" \
--eval_datasets "$EVAL_DATASETS" \
--bbox "$BBOX" \
--wandb \
$(echo $(for m in $(echo $OPTIONAL_MODEL_ARGS | xargs); do echo $m ; done))
- name: Push model to DVC
run: |
dvc commit data/models.dvc -f
dvc push data/models
- name: Push changes to remote and PR
if: ${{ github.ref == 'refs/heads/master' }}
run: |
git config --global user.name github-actions
git config --global user.email github-actions@github.com
git checkout -b"$MODEL_NAME"
git add data/models.dvc
git add data/models.json
git add data/all_dataset_params.json
git commit -m "Trained new: $MODEL_NAME"
git push -u origin $MODEL_NAME
gh pr create --base master --head $MODEL_NAME --title "Trained new: $MODEL_NAME" --fill
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Push changes to branch
if: ${{ github.ref != 'refs/heads/master' }}
run: |
git config --global user.name github-actions
git config --global user.email github-actions@github.com
git add data/models.dvc
git add data/models.json
git add data/all_dataset_params.json
git commit -m "Trained new: $MODEL_NAME"
git push