#!/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: $GIT_BRANCH" # Create full image tag IMAGE_TAG="olmocr-benchmark-${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 "Pushing image to Beaker..." beaker image create --workspace ai2/oe-data-pdf --name $IMAGE_TAG $IMAGE_TAG # Create Python script to run beaker experiment cat << 'EOF' > /tmp/run_benchmark_experiment.py import sys from beaker import Beaker, ExperimentSpec, TaskSpec, TaskContext, ResultSpec, TaskResources, ImageSource, Priority, Constraints # Get image tag, beaker user, git branch, and git hash from command line image_tag = sys.argv[1] beaker_user = sys.argv[2] git_branch = sys.argv[3] git_hash = sys.argv[4] # Initialize Beaker client b = Beaker.from_env(default_workspace="ai2/olmocr") # Create experiment spec experiment_spec = ExperimentSpec( description=f"OlmOCR Benchmark Run - Branch: {git_branch}, Commit: {git_hash}", budget="ai2/oe-data", tasks=[ TaskSpec( name="olmocr-benchmark", image=ImageSource(beaker=f"{beaker_user}/{image_tag}"), command=[ "bash", "-c", " && ".join([ "git clone https://huggingface.co/datasets/allenai/olmOCR-bench", "cd olmOCR-bench && git lfs pull && cd ..", "python -m olmocr.pipeline ./localworkspace --markdown --pdfs ./olmOCR-bench/bench_data/pdfs/**/*.pdf", "python olmocr/bench/scripts/workspace_to_bench.py localworkspace/ olmOCR-bench/bench_data/olmocr --bench-path ./olmOCR-bench/", "python -m olmocr.bench.benchmark --dir ./olmOCR-bench/bench_data" ]) ], context=TaskContext( priority=Priority.normal, preemptible=True, ), resources=TaskResources(gpu_count=1), constraints=Constraints(cluster=["ai2/ceres-cirrascale", "ai2/jupiter-cirrascale-2"]), result=ResultSpec(path="/noop-results"), ) ], ) # Create the experiment experiment = b.experiment.create(spec=experiment_spec, workspace="ai2/olmocr") print(f"Created experiment: {experiment.id}") print(f"View at: https://beaker.org/ex/{experiment.id}") EOF # Run the Python script to create the experiment echo "Creating Beaker experiment..." $PYTHON /tmp/run_benchmark_experiment.py $IMAGE_TAG $BEAKER_USER $GIT_BRANCH $GIT_HASH # Clean up temporary file rm /tmp/run_benchmark_experiment.py echo "Benchmark experiment submitted successfully!"