-def create_data_and_processors(nb_train_samples, nb_test_samples, nb_epochs=10):
- steps = [True] + [False] * 30 + [True]
- train_input = generate_episodes(nb_train_samples, steps)
- test_input = generate_episodes(nb_test_samples, steps)
+ if logger is None:
+ logger = lambda s: print(s)
+
+ train_input, train_actions = generate_episodes(nb_train_samples, steps)
+ train_input, train_actions = train_input.to(device_storage), train_actions.to(
+ device_storage
+ )
+ test_input, test_actions = generate_episodes(nb_test_samples, steps)
+ test_input, test_actions = test_input.to(device_storage), test_actions.to(
+ device_storage
+ )