test_nb_correct,
test_nb_delta,
test_nb_missed,
- ) = compute_nb_correct(self.test_input[:1000])
+ ) = compute_nb_correct(self.test_input[:10000])
logger(
f"accuracy_test {n_epoch} nb_total {test_nb_total} nb_correct {test_nb_correct} accuracy {(100.0*test_nb_correct)/test_nb_total:.02f}%"
input = self.tensorize(sequences)
result = input.clone()
- ar_mask = (result == self.space).long().cumsum(dim=1).clamp(max=1)
+ s = (result == self.space).long()
+ ar_mask = (s.cumsum(dim=1) - s).clamp(min=0, max=1)
result = (1 - ar_mask) * result + ar_mask * self.filler
- # for n in range(result.size(0)):
- # logger(f"test_before {self.seq2str(result[n])}")
+ for n in range(result.size(0)):
+ logger(f"test_before {self.seq2str(result[n])}")
masked_inplace_autoregression(
model,