File size: 3,358 Bytes
b584148 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 | #!/usr/bin/env python3
"""
Divide valid episodes into N equal chunks for distributed processing.
"""
import json
from pathlib import Path
import argparse
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--input', type=str, required=True,
help='Input JSON file with valid episodes')
parser.add_argument('--num-chunks', type=int, default=16,
help='Number of chunks to create')
parser.add_argument('--output-dir', type=str, default='/mnt/kevin/data/droid_chunks',
help='Output directory for chunk files')
args = parser.parse_args()
# Load valid episodes
with open(args.input) as f:
data = json.load(f)
episodes = data['episodes']
stats = data['stats']
print(f"\nLoaded {len(episodes)} valid episodes")
print(f"Dividing into {args.num_chunks} chunks...")
# Calculate chunk size
chunk_size = len(episodes) // args.num_chunks
remainder = len(episodes) % args.num_chunks
# Create output directory
output_dir = Path(args.output_dir)
output_dir.mkdir(parents=True, exist_ok=True)
# Divide into chunks
chunks = []
start_idx = 0
for chunk_id in range(args.num_chunks):
# Distribute remainder across first chunks
current_chunk_size = chunk_size + (1 if chunk_id < remainder else 0)
end_idx = start_idx + current_chunk_size
chunk_episodes = episodes[start_idx:end_idx]
# Calculate total frames for this chunk
total_frames = sum(ep['num_frames'] for ep in chunk_episodes)
chunk_data = {
'chunk_id': chunk_id,
'episodes': chunk_episodes,
'num_episodes': len(chunk_episodes),
'total_frames': total_frames,
'episode_indices': [ep['episode_idx'] for ep in chunk_episodes]
}
# Save chunk file
chunk_file = output_dir / f'chunk_{chunk_id:02d}.json'
with open(chunk_file, 'w') as f:
json.dump(chunk_data, f, indent=2)
chunks.append(chunk_data)
start_idx = end_idx
print(f" Chunk {chunk_id:2d}: {len(chunk_episodes):5d} episodes, "
f"{total_frames:7d} frames ({chunk_file})")
# Save summary
summary = {
'num_chunks': args.num_chunks,
'total_episodes': len(episodes),
'total_frames': sum(ep['num_frames'] for ep in episodes),
'original_stats': stats,
'chunks': [
{
'chunk_id': c['chunk_id'],
'num_episodes': c['num_episodes'],
'total_frames': c['total_frames']
}
for c in chunks
]
}
summary_file = output_dir / 'summary.json'
with open(summary_file, 'w') as f:
json.dump(summary, f, indent=2)
print(f"\n{'='*80}")
print(f"Created {args.num_chunks} chunks")
print(f" Total episodes: {len(episodes)}")
print(f" Avg episodes per chunk: {len(episodes) / args.num_chunks:.1f}")
print(f" Total frames: {sum(ep['num_frames'] for ep in episodes):,}")
print(f" Avg frames per chunk: {sum(ep['num_frames'] for ep in episodes) / args.num_chunks:,.0f}")
print(f"\nChunk files saved to: {output_dir}/")
print(f"Summary: {summary_file}")
print(f"{'='*80}")
if __name__ == '__main__':
main()
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