olmocr/scripts/train/newtrainer-gantry.sh

#!/bin/bash

set -e

# Use conda environment Python if available, otherwise use system Python
if [ -n "$CONDA_PREFIX" ]; then
    PYTHON="$CONDA_PREFIX/bin/python"
    echo "Using conda Python from: $CONDA_PREFIX"
else
    PYTHON="python"
    echo "Warning: No conda environment detected, using system Python"
fi

# Get version from version.py
VERSION=$($PYTHON -c 'import olmocr.version; print(olmocr.version.VERSION)')
echo "OlmOCR version: $VERSION"

# Get first 10 characters of git hash
GIT_HASH=$(git rev-parse HEAD | cut -c1-10)
echo "Git hash: $GIT_HASH"

# Get current git branch name
GIT_BRANCH=$(git rev-parse --abbrev-ref HEAD)
echo "Git branch: $GIT_BRANCH"

# Create full image tag
IMAGE_TAG="olmocr-train-${VERSION}-${GIT_HASH}"
echo "Building Docker image with tag: $IMAGE_TAG"

# Build the Docker image
echo "Building Docker image..."
docker build --platform linux/amd64 -f ./Dockerfile -t $IMAGE_TAG .

# Get Beaker username
BEAKER_USER=$(beaker account whoami --format json | jq -r '.[0].name')
echo "Beaker user: $BEAKER_USER"

# Push image to beaker
echo "Trying to push image to Beaker..."
if ! beaker image create --workspace ai2/oe-data-pdf --name $IMAGE_TAG $IMAGE_TAG 2>/dev/null; then
    echo "Warning: Beaker image with tag $IMAGE_TAG already exists. Using existing image."
fi

gantry run \
    --description "${run_name}"\
    --task-name "${run_name}"\
    --allow-dirty \
    --host-networking \
    --workspace ai2/olmocr \
    --beaker-image $BEAKER_USER/$IMAGE_TAG \
    --pip gantry-train-requirements.txt \
    --priority normal \
    --gpus 1 \
    --preemptible \
    --cluster "ai2/titan-cirrascale" \
    --budget ai2/oe-data \
    --env LOG_FILTER_TYPE=local_rank0_only \
    --env OMP_NUM_THREADS=8 \
    --env BEAKER_USER_ID=$(beaker account whoami --format json | jq '.[0].name' -cr) \
    --env-secret AWS_ACCESS_KEY_ID=S2_AWS_ACCESS_KEY_ID \
    --env-secret AWS_SECRET_ACCESS_KEY=S2_AWS_SECRET_ACCESS_KEY \
    --env-secret WANDB_API_KEY=JAKE_WANDB_API_KEY \
    --weka oe-data-default:/weka/oe-data-default \
    --weka oe-training-default:/weka/oe-training-default \
    --shared-memory 10GiB \
    --yes \
    -- /bin/bash -c "pip install flash-attn==2.8.0.post2 --no-build-isolation && python -m olmocr.train.train --config olmocr/train/configs/qwen25_vl_b100_x1_default_image_1600.yaml"