From 763e18680a0ae2db64d27c9f2a2054a7403009c0 Mon Sep 17 00:00:00 2001 From: =?utf8?q?Fran=C3=A7ois=20Fleuret?= Date: Fri, 7 Apr 2023 14:26:46 +0200 Subject: [PATCH] Update --- beaver.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/beaver.py b/beaver.py index 6e1eaf4..9f8bc41 100755 --- a/beaver.py +++ b/beaver.py @@ -238,6 +238,11 @@ def oneshot(model, learning_rate_scheduler, task): model.eval() mazes = task.test_input[:32].clone() mazes[:, task.height * task.width :] = 0 + policies = task.test_policies[:32] + targets = maze.stationary_densities( + mazes[:, : task.height * task.width].view(-1, task.height, task.width), + policies.view(-1, 4, task.height, task.width), + ).flatten(-2) output = eval_mygpt(model, mazes, prompt_len=task.height * task.width) output = F.softmax(output, dim=2) print(f"{output.size()=}") @@ -245,6 +250,7 @@ def oneshot(model, learning_rate_scheduler, task): -1, task.height, task.width ) mazes = mazes[:, : task.height * task.width].reshape(-1, task.height, task.width) + targets = targets.reshape(-1, task.height, task.width) paths = task.test_input[:32, task.height * task.width :].reshape( -1, task.height, task.width ) @@ -252,9 +258,9 @@ def oneshot(model, learning_rate_scheduler, task): maze.save_image( os.path.join(args.result_dir, filename), mazes=mazes, - target_paths=paths, + # target_paths=paths, score_paths=proba_path, - # score_truth=targets, + score_truth=targets, ) log_string(f"wrote {filename}") -- 2.20.1