Merge pull request #2 from ltcptgeneral/gym-2

add ppo model, add cpu and cuda device support

.gitignore

@@ -1,6 +1,6 @@
 **/data/*
-**/*.zip
 **/__pycache__
 /env
 **/runs/*
-**/wandb/*
+**/wandb/*
+**/models/*

eric_wordle/ai.py

@@ -23,7 +23,8 @@ def load_valid_words(file_path='wordle_words.txt'):
 
 
 class AI:
-    def __init__(self, vocab_file, model_file, num_letters=5, num_guesses=6, use_q_model=False):
+    def __init__(self, vocab_file, model_file, num_letters=5, num_guesses=6, use_q_model=False, device="cuda"):
+        self.device = device
         self.vocab_file = vocab_file
         self.num_letters = num_letters
         self.num_guesses = 6
@@ -41,7 +42,7 @@ class AI:
             self.q_env_state, _ = self.q_env.reset()
 
             # load model
-            self.q_model = PPO.load(model_file)
+            self.q_model = PPO.load(model_file, device=self.device)
 
         self.reset("")
 
@@ -158,7 +159,7 @@ class AI:
 
                     for l in word:
                         action = ord(l) - ord('a')
-                        q_val, _, _ = self.q_model.policy.evaluate_actions(self.q_model.policy.obs_to_tensor(self.q_env.get_obs())[0], torch.Tensor(np.array([action])).to("cuda"))
+                        q_val, _, _ = self.q_model.policy.evaluate_actions(self.q_model.policy.obs_to_tensor(self.q_env.get_obs())[0], torch.Tensor(np.array([action])).to(self.device))
                         _, _, _, _, _ = self.q_env.step(action)
                         curr_qval += q_val
 

eric_wordle/eval.py

@@ -28,7 +28,7 @@ def main(args):
     if args.n is None:
         raise Exception('Need to specify n (i.e. n = 1 for wordle, n = 4 for quordle, n = 16 for sedecordle).')
 
-    ai = AI(args.vocab_file, args.model_file, use_q_model=args.q_model)
+    ai = AI(args.vocab_file, args.model_file, use_q_model=args.q_model, device=args.device)
 
     total_guesses = 0
     wins = 0
@@ -58,5 +58,6 @@ if __name__ == '__main__':
     parser.add_argument('--num_eval', dest="num_eval", type=int, default=1000)
     parser.add_argument('--model_file', dest="model_file", type=str, default='wordle_ppo_model')
     parser.add_argument('--q_model', dest="q_model", type=bool, default=False)
+    parser.add_argument('--device', dest="device", type=str, default="cuda")
     args = parser.parse_args()
     main(args)

eric_wordle/main.py

@@ -6,7 +6,7 @@ def main(args):
     if args.n is None:
         raise Exception('Need to specify n (i.e. n = 1 for wordle, n = 4 for quordle, n = 16 for sedecordle).')
     print(f"using q model? {args.q_model}")
-    ai = AI(args.vocab_file, args.model_file, use_q_model=args.q_model)
+    ai = AI(args.vocab_file, args.model_file, use_q_model=args.q_model, device=args.device)
     ai.reset("lingo")
     ai.solve()
 
@@ -17,5 +17,6 @@ if __name__ == '__main__':
     parser.add_argument('--vocab_file', dest='vocab_file', type=str, default='wordle_words.txt')
     parser.add_argument('--model_file', dest="model_file", type=str, default='wordle_ppo_model')
     parser.add_argument('--q_model', dest="q_model", type=bool, default=False)
+    parser.add_argument('--device', dest="device", type=str, default="cuda")
     args = parser.parse_args()
     main(args)

inference.sh

@@ -0,0 +1 @@
+python eric_wordle/main.py --n 1 --vocab_file wordle_words.txt  --q_model True --model_file wordle_ppo_model --device cpu