X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=tasks.py;h=dba6e13c5414408abeb7fa18ec131fe7756f999a;hb=9664af37378218468190741c9ea5c3d7cb231926;hp=8b22cadc62f51e097b7fb70c6747aea7158a0804;hpb=22b841a39cc73310cd03dbd1d32fb387f68521d0;p=picoclvr.git diff --git a/tasks.py b/tasks.py index 8b22cad..dba6e13 100755 --- a/tasks.py +++ b/tasks.py @@ -1881,13 +1881,15 @@ class Escape(Task): self.batch_size = batch_size self.device = device + self.height = height + self.width = width states, actions, rewards = escape.generate_episodes( nb_train_samples + nb_test_samples, height, width, T ) seq = escape.episodes2seq(states, actions, rewards) - self.train_input = seq[:nb_train_samples] - self.test_input = seq[nb_train_samples:] + self.train_input = seq[:nb_train_samples].to(self.device) + self.test_input = seq[nb_train_samples:].to(self.device) self.nb_codes = max(self.train_input.max(), self.test_input.max()) + 1 @@ -1915,7 +1917,30 @@ class Escape(Task): def produce_results( self, n_epoch, model, result_dir, logger, deterministic_synthesis, nmax=1000 ): - pass + result = self.test_input[:100].clone() + ar_mask = ( + torch.arange(result.size(1), device=result.device) + > self.height * self.width + 2 + ).long()[None, :] + ar_mask = ar_mask.expand_as(result) + result *= 1 - ar_mask # paraaaaanoiaaaaaaa + + masked_inplace_autoregression( + model, + self.batch_size, + result, + ar_mask, + deterministic_synthesis, + device=self.device, + ) + + s, a, r = escape.seq2episodes(result, self.height, self.width) + str = escape.episodes2str(s, a, r, unicode=True, ansi_colors=True) + + filename = os.path.join(result_dir, f"test_seq_{n_epoch:04d}.txt") + with open(filename, "w") as f: + f.write(str) + logger(f"wrote {filename}") ######################################################################