def evaluate(cfg: Config, nlp: TorchLanguage, val_data: InputData) -> Dict:
try:
scores = nlp.evaluate(val_data, batch_size=cfg.nbatch * 2)
except Exception:
report_fail(val_data)
raise
return scores
def test(nlp: TorchLanguage, data):
if torch.cuda.is_available():
nlp.to(torch.device("cuda"))
nlp.evaluate(data, batch_size=256)