From: François Fleuret Date: Fri, 7 Apr 2023 21:35:12 +0000 (+0200) Subject: Update X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=commitdiff_plain;h=HEAD;p=beaver.git Update --- diff --git a/beaver.py b/beaver.py index e69f151..5abe39b 100755 --- a/beaver.py +++ b/beaver.py @@ -238,9 +238,9 @@ def oneshot_trace_loss(mazes, output, policies, height, width): def oneshot(model, learning_rate_scheduler, task): t = model.training model.eval() - mazes = task.test_input[:32].clone() + mazes = task.test_input[:48].clone() mazes[:, task.height * task.width :] = 0 - policies = task.test_policies[:32] + policies = task.test_policies[:48] targets = maze.stationary_densities( mazes[:, : task.height * task.width].view(-1, task.height, task.width), policies.view(-1, 4, task.height, task.width), @@ -253,7 +253,7 @@ def oneshot(model, learning_rate_scheduler, task): ) 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( + paths = task.test_input[:48, task.height * task.width :].reshape( -1, task.height, task.width ) filename = f"oneshot.png" @@ -335,8 +335,8 @@ def oneshot_old(gpt, learning_rate_scheduler, task): ) # ------------------- - mazes = task.test_input[:32, : task.height * task.width] - policies = task.test_policies[:32] + mazes = task.test_input[:48, : task.height * task.width] + policies = task.test_policies[:48] output_gpt = eval_mygpt( gpt, mazes, mode=args.oneshot_input, prompt_len=task.height * task.width ) @@ -579,7 +579,7 @@ class TaskMaze(Task): f"accuracy_test nb_total {test_nb_total} nb_correct {test_nb_correct} accuracy {(100.0*test_nb_correct)/test_nb_total:.02f}%" ) - input = self.test_input[:32] + input = self.test_input[:48] result = input.clone() ar_mask = result.new_zeros(result.size()) ar_mask[:, self.height * self.width :] = 1