Working on runner script

This commit is contained in:
Jake Poznanski 2025-05-29 17:08:05 +00:00
parent 8347e384fd
commit 475cc1c3a4

73
scripts/run_benchmark.sh Executable file
View File

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#!/bin/bash
set -e
# 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: $GIT_HASH"
# Create full image tag
IMAGE_TAG="olmocr-benchmark-${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 .
# 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, TaskResources, ImageSource, Priority, Constraints
# Get image tag from command line
image_tag = sys.argv[1]
# Initialize Beaker client
b = Beaker.from_env(default_workspace="ai2/oe-data-pdf")
# Create experiment spec
experiment_spec = ExperimentSpec(
description="OlmOCR Benchmark Run",
budget="ai2/oe-data",
tasks=[
TaskSpec(
name="olmocr-benchmark",
image=ImageSource(beaker=f"ai2/oe-data-pdf/{image_tag}"),
command=[
"bash", "-c",
" && ".join([
"huggingface-cli download --repo-type dataset --resume-download allenai/olmOCR-bench --local-dir ./olmOCR-bench",
"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/markdown_output --bench-path ./olmOCR-bench/",
"python -m olmocr.bench.benchmark --dir ./olmOCR-bench/bench_data"
])
],
resources=TaskResources(gpu_count=1),
#constraints=Constraint(cluster=["ai2/pluto-cirrascale", "ai2/jupiter-cirrascale"]),
priority=Priority.normal,
)
],
)
# Create the experiment
experiment = b.experiment.create(spec=experiment_spec, workspace="ai2/oe-data-pdf")
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
# Clean up temporary file
rm /tmp/run_benchmark_experiment.py
echo "Benchmark experiment submitted successfully!"