def init_query_encoder(encoder, topics_name, encoded_queries, device):
encoded_queries_map = {
'msmarco-passage-dev-subset': 'msmarco-passage-dev-subset-tct_colbert',
'dpr-nq-dev': 'dpr-nq-dev-multi',
'dpr-nq-test': 'dpr-nq-test-multi',
'dpr-trivia-dev': 'dpr-trivia-dev-multi',
'dpr-trivia-test': 'dpr-trivia-test-multi',
'dpr-wq-test': 'dpr-wq-test-multi',
'dpr-squad-test': 'dpr-squad-test-multi',
'dpr-curated-test': 'dpr-curated-test-multi'
}
if encoder:
if 'dpr' in encoder:
return DPRQueryEncoder(encoder_dir=encoder, device=device)
elif 'tct_colbert' in encoder:
return TCTColBERTQueryEncoder(encoder_dir=encoder, device=device)
elif 'ance' in encoder:
return AnceQueryEncoder(encoder_dir=encoder, device=device)
elif 'sentence' in encoder:
return SBERTQueryEncoder(encoder_dir=encoder, device=device)
else:
return AutoQueryEncoder(encoder_dir=encoder, device=device)
if encoded_queries:
if os.path.exists(encoded_queries):
return QueryEncoder(encoded_queries)
return QueryEncoder.load_encoded_queries(encoded_queries)
if topics_name in encoded_queries_map:
return QueryEncoder.load_encoded_queries(
encoded_queries_map[topics_name])
return None
def init_query_encoder(encoder, topics_name, device):
encoded_queries = {
'msmarco_passage_dev_subset': 'msmarco-passage-dev-subset-tct_colbert'
}
if encoder:
if 'dpr' in encoder:
return DPRQueryEncoder(encoder_dir=encoder, device=device)
elif 'tct_colbert' in encoder:
return TCTColBERTQueryEncoder(encoder_dir=encoder, device=device)
if topics_name in encoded_queries:
return QueryEncoder.load_encoded_queries(encoded_queries[topics_name])
return None
def init_query_encoder(encoder, topics_name, device):
encoded_queries = {
'msmarco_passage_dev_subset': 'msmarco-passage-dev-subset-tct_colbert',
'dpr_nq_dev': 'dpr-nq-dev-multi',
'dpr_nq_test': 'dpr-nq-test-multi',
'dpr_trivia_dev': 'dpr-trivia_qa-dev-multi',
'dpr_trivia_test': 'dpr-trivia_qa-test-multi',
'dpr_wq_test': 'dpr-wq-test-multi',
'dpr_squad_test': 'dpr-squad-test-multi',
'dpr_curated_test': 'dpr-curated_trec-test-multi'
}
if encoder:
if 'dpr' in encoder:
return DPRQueryEncoder(encoder_dir=encoder, device=device)
elif 'tct_colbert' in encoder:
return TCTColBERTQueryEncoder(encoder_dir=encoder, device=device)
if topics_name in encoded_queries:
return QueryEncoder.load_encoded_queries(encoded_queries[topics_name])
return None