variant support: WISE_ALPHA, EMB_DIR/OUT_PREFIX

code/hf_jobs/dense_ft_retrieval.sh

@@ -5,6 +5,7 @@
 # and test when encode B (t1,t2,t3) is done; only that split's arrays are downloaded.
 set -uo pipefail
 SPLITS=${SPLITS:-train test}; export SPLITS
+EMB_DIR=${EMB_DIR:-emb_ft}; OUT_PREFIX=${OUT_PREFIX:-dense_ft}; export EMB_DIR OUT_PREFIX
 ROOT=/workspace/amlc; mkdir -p $ROOT/hub $ROOT/dense $ROOT/raw; cd $ROOT
 log(){ echo "[$(date -u +%H:%M:%S) UTC] $*"; }
 log deps; pip install -q pandas pyarrow polars huggingface_hub 2>&1 | tail -1; nvidia-smi --query-gpu=name,memory.total --format=csv,noheader
@@ -13,14 +14,14 @@ import os, time
 from huggingface_hub import snapshot_download
 t=time.time()
 tabs=[x for sp in os.environ['SPLITS'].split() for x in {'train':['s1','s2','s3'],'test':['t1','t2','t3']}[sp]]
-pats=['code/scripts/dense_retrieval.py']+[f'norm/{x}.parquet' for x in tabs]+[f'emb_ft/e5_{v}/{x}{e}' for v in ('full','name') for x in tabs for e in ('.npy','_ids.parquet')]
+pats=['code/scripts/dense_retrieval.py']+[f'norm/{x}.parquet' for x in tabs]+[f"{os.environ['EMB_DIR']}/e5_{v}/{x}{e}" for v in ('full','name') for x in tabs for e in ('.npy','_ids.parquet')]
 print('downloading', pats, flush=True)
 snapshot_download('Arushhh/amlc-work', repo_type='dataset', local_dir='/workspace/amlc/hub', allow_patterns=pats, token=os.environ.get('HF_TOKEN'), max_workers=16)
 if 'train' in os.environ['SPLITS'].split():
     snapshot_download('Anupam-Rawat-IITB/data_', repo_type='dataset', local_dir='/workspace/amlc/raw', allow_patterns=['dataset/train/train_ground_truth.tsv'])
 print('downloaded', f'{time.time()-t:.0f}s', flush=True)
 PY
-ln -sfn $ROOT/hub/emb_ft $ROOT/hub/emb; ls $ROOT/hub/emb/e5_full | head -3; ls $ROOT/hub/norm
+ln -sfn $ROOT/hub/$EMB_DIR $ROOT/hub/emb; ls $ROOT/hub/emb/e5_full | head -3; ls $ROOT/hub/norm
 for sp in $SPLITS; do [ $sp = train ] && T="s1 s2 s3" || T="t1 t2 t3"
   for x in $T; do for f in $ROOT/hub/emb/e5_full/$x.npy $ROOT/hub/emb/e5_name/$x.npy $ROOT/hub/norm/$x.parquet; do [ -s "$f" ] || { log "FATAL missing $f"; exit 1; }; done; done; done
 cd $ROOT/hub/code/scripts
@@ -37,6 +38,6 @@ from huggingface_hub import HfApi
 a=HfApi(token=os.environ.get('HF_TOKEN'))
 for p in glob.glob('/workspace/amlc/dense/*'):
     if os.path.isfile(p):
-        a.upload_file(path_or_fileobj=p, path_in_repo='dense_ft/'+os.path.basename(p), repo_id='Arushhh/amlc-work', repo_type='dataset', commit_message='dense_ft '+os.path.basename(p)); print('uploaded', p, flush=True)
+        a.upload_file(path_or_fileobj=p, path_in_repo=os.environ['OUT_PREFIX']+'/'+os.path.basename(p), repo_id='Arushhh/amlc-work', repo_type='dataset', commit_message=os.environ['OUT_PREFIX']+' '+os.path.basename(p)); print('uploaded', p, flush=True)
 PY
 log "ALL DONE"