X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;ds=sidebyside;f=tasks.py;h=75cd35ed6c2e2c280fa4ad2ea07e7adb86439bb8;hb=0c47d4d8ef8c4938f4765af816349cf30da14cb1;hp=a3d47f54451464470bd9d37710bda4f42c1ab4ce;hpb=c9dbc3abf436df8af1379d04ab51159e821496f1;p=picoclvr.git diff --git a/tasks.py b/tasks.py index a3d47f5..75cd35e 100755 --- a/tasks.py +++ b/tasks.py @@ -1044,6 +1044,9 @@ class RPL(Task): 0, ).to(self.device) + def seq2str(self, seq): + return " ".join([self.id2token[i] for i in seq]) + def __init__( self, nb_train_samples, @@ -1117,22 +1120,33 @@ class RPL(Task): device=self.device, ) - if nb_to_log > 0: - for x in result[:nb_to_log]: - s = " ".join([self.id2token[i.item()] for i in x]) - logger(f"check {n_epoch} {s}") - nb_to_log -= min(nb_to_log, result.size(0)) - sum_nb_total, sum_nb_errors = 0, 0 - for x in result: - seq = [self.id2token[i.item()] for i in x] - nb_total, nb_errors = rpl.check(seq) - sum_nb_total += nb_total - sum_nb_errors += nb_errors + for x, y in zip(input, result): + seq = [self.id2token[i.item()] for i in y] + nb_total, nb_errors, prog, stacks = rpl.compute_nb_errors(seq) + sum_nb_total += 1 + sum_nb_errors += 0 if nb_errors == 0 else 1 + if nb_to_log > 0: + gt_seq = [self.id2token[i.item()] for i in x] + _, _, gt_prog, _ = rpl.compute_nb_errors(gt_seq) + gt_prog = " ".join([str(x) for x in gt_prog]) + prog = " ".join([str(x) for x in prog]) + logger(f"GROUND-TRUTH PROG [{gt_prog}] PREDICTED PROG [{prog}]") + for start_stack, target_stack, result_stack, correct in stacks: + comment = " CORRECT" if correct else "" + start_stack = " ".join([str(x) for x in start_stack]) + target_stack = " ".join([str(x) for x in target_stack]) + result_stack = " ".join([str(x) for x in result_stack]) + logger( + f" [{start_stack}] -> [{result_stack}] TARGET [{target_stack}]{comment}" + ) + nb_to_log -= 1 return sum_nb_total, sum_nb_errors - test_nb_total, test_nb_errors = compute_nb_errors(self.test_input, nb_to_log=10) + test_nb_total, test_nb_errors = compute_nb_errors( + self.test_input[:1000], nb_to_log=10 + ) logger( f"accuracy_test {n_epoch} nb_total {test_nb_total} nb_errors {test_nb_errors} accuracy {100.0*(1-test_nb_errors/test_nb_total):.02f}%"