| from pathlib import Path |
| import numpy as np, json, time, os |
| I=Path('/mnt/data/msmarco_scale_work/full_index'); N=8841823 |
| total=0; metas=[] |
| for sid in range(36): |
| m=json.load(open(I/f'shard_{sid:04d}.json')); metas.append(m); total+=int(m['nnz']) |
| print('total',total,flush=True) |
| ids=np.memmap(I/'support_all.u16',np.uint16,'w+',shape=(total,)) |
| ip=np.memmap(I/'support_all_indptr.u32',np.uint32,'w+',shape=(N+1,)) |
| pos=0; dpos=0; t=time.time(); ip[0]=0 |
| for sid,m in enumerate(metas): |
| n=int(m['n']); nn=int(m['nnz']) |
| si=np.memmap(I/f'support_{sid:04d}.u16',np.uint16,'r',shape=(nn,)); sp=np.memmap(I/f'support_indptr_{sid:04d}.u32',np.uint32,'r',shape=(n+1,)) |
| ids[pos:pos+nn]=si |
| ip[dpos+1:dpos+n+1]=np.asarray(sp[1:],np.uint64)+pos |
| pos+=nn; dpos+=n |
| print(sid,n,nn,pos,dpos,time.time()-t,flush=True) |
| ids.flush();ip.flush(); print('done',pos,dpos,time.time()-t,flush=True) |
|
|
