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cleanup: Remove debug print statements and clean up commented code #15

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13 changes: 2 additions & 11 deletions Dockerfile
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Original file line number Diff line number Diff line change
@@ -1,7 +1,4 @@
# Use an official Python runtime as the base image
# FROM python:3.12-slim
# Base image with GPU support
# FROM nvidia/cuda:12.4.1-devel-ubuntu22.04
FROM nvidia/cuda:13.0.0-devel-ubuntu22.04

# Set CUDA and NVIDIA library paths
Expand Down Expand Up @@ -143,15 +140,9 @@ RUN pip install -e proofgrader_repo
# Download things for balrog domains
RUN python -m domains.balrog.scripts.post_install

# For Genesis: install PyTorch with CUDA support
# For Genesis: install PyTorch with CUDA 13.0 support
# First check the Cuda version: nvidia-smi
# If Cuda version is 11.8:
# RUN pip install --no-cache-dir torch==2.1.0 torchvision==0.16.0 --index-url https://download.pytorch.org/whl/cu118
# If Cuda version is 12.1:
# RUN pip install --no-cache-dir torch==2.1.0 torchvision==0.16.0 --index-url https://download.pytorch.org/whl/cu121
# If Cuda version is 12.4:
# RUN pip install --no-cache-dir torch==2.6.0 torchvision==0.21.0 --index-url https://download.pytorch.org/whl/cu124
# If Cuda version is 13.0:
# For other CUDA versions, adjust the --index-url accordingly (e.g., cu118, cu121, cu124)
RUN pip install torch torchvision --index-url https://download.pytorch.org/whl/cu130

# Ensure the libcuda symlink fix runs before your command
Expand Down
2 changes: 0 additions & 2 deletions domains/genesis/genesis_utils.py
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Expand Up @@ -45,7 +45,6 @@ def collect_and_summarize_results(output_dir):
for dir in dirs
if dir.startswith("genesis_eval")
]
print(f"DEBUG: Found genesis_eval directories: {genesis_eval_dirs}")

# From each genesis_eval/ folder, find all .json files
json_files = []
Expand All @@ -55,7 +54,6 @@ def collect_and_summarize_results(output_dir):
if filename.endswith(".json"):
json_filepath = os.path.join(root, filename)
json_files.append(json_filepath)
print(f"DEBUG: Found JSON files: {json_files}")

# Each json file is a separate run, so we need to group them by tasks
# Each json file has the name format of {task}_run_{run_id}.json
Expand Down