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When i do : python main.py --is_train=False --display=True --use_gpu=False
python main.py --is_train=False --display=True --use_gpu=False
I get : [*] GPU : 1.0000 [2018-05-23 17:17:55,692] Making new env: Breakout-v0 {'_save_step': 500000, '_test_step': 50000, 'action_repeat': 4, 'backend': 'tf', 'batch_size': 32, 'cnn_format': 'NHWC', 'discount': 0.99, 'display': True, 'double_q': False, 'dueling': False, 'env_name': 'Breakout-v0', 'env_type': 'detail', 'ep_end': 0.1, 'ep_end_t': 1000000, 'ep_start': 1.0, 'history_length': 4, 'learn_start': 50000.0, 'learning_rate': 0.00025, 'learning_rate_decay': 0.96, 'learning_rate_decay_step': 50000, 'learning_rate_minimum': 0.00025, 'max_delta': 1, 'max_reward': 1.0, 'max_step': 50000000, 'memory_size': 1000000, 'min_delta': -1, 'min_reward': -1.0, 'model': 'm1', 'random_start': 30, 'scale': 10000, 'screen_height': 84, 'screen_width': 84, 'target_q_update_step': 10000, 'train_frequency': 4} Traceback (most recent call last): File "main.py", line 70, in tf.app.run() File "/Tuto_DQN/env/local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 43, in run sys.exit(main(sys.argv[:1] + flags_passthrough)) File "main.py", line 62, in main agent = Agent(config, env, sess) File "/Tuto_DQN/tuto_dqn/DQN-tensorflow/dqn/agent.py", line 23, in init self.memory = ReplayMemory(self.config, self.model_dir) File "/Tuto_DQN/tuto_dqn/DQN-tensorflow/dqn/replay_memory.py", line 18, in init self.screens = np.empty((self.memory_size, config.screen_height, config.screen_width), dtype = np.float16) MemoryError I installed all the dependencies according to the issue #44 Add requirements.txt or alternative I am running it on my laptop which is a samsung series 7 ultra notebook
[*] GPU : 1.0000 [2018-05-23 17:17:55,692] Making new env: Breakout-v0 {'_save_step': 500000, '_test_step': 50000, 'action_repeat': 4, 'backend': 'tf', 'batch_size': 32, 'cnn_format': 'NHWC', 'discount': 0.99, 'display': True, 'double_q': False, 'dueling': False, 'env_name': 'Breakout-v0', 'env_type': 'detail', 'ep_end': 0.1, 'ep_end_t': 1000000, 'ep_start': 1.0, 'history_length': 4, 'learn_start': 50000.0, 'learning_rate': 0.00025, 'learning_rate_decay': 0.96, 'learning_rate_decay_step': 50000, 'learning_rate_minimum': 0.00025, 'max_delta': 1, 'max_reward': 1.0, 'max_step': 50000000, 'memory_size': 1000000, 'min_delta': -1, 'min_reward': -1.0, 'model': 'm1', 'random_start': 30, 'scale': 10000, 'screen_height': 84, 'screen_width': 84, 'target_q_update_step': 10000, 'train_frequency': 4} Traceback (most recent call last): File "main.py", line 70, in tf.app.run() File "/Tuto_DQN/env/local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 43, in run sys.exit(main(sys.argv[:1] + flags_passthrough)) File "main.py", line 62, in main agent = Agent(config, env, sess) File "/Tuto_DQN/tuto_dqn/DQN-tensorflow/dqn/agent.py", line 23, in init self.memory = ReplayMemory(self.config, self.model_dir) File "/Tuto_DQN/tuto_dqn/DQN-tensorflow/dqn/replay_memory.py", line 18, in init self.screens = np.empty((self.memory_size, config.screen_height, config.screen_width), dtype = np.float16) MemoryError
Could someone advise me on how to overcome this issue? any comment would be highly appreciated Thanks a lot!!
The text was updated successfully, but these errors were encountered:
Reduce the value of memory_size in the config.py (see here). The memory error is probably caused due to a large replay-memory size.
memory_size
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When i do :
python main.py --is_train=False --display=True --use_gpu=False
I get :
[*] GPU : 1.0000 [2018-05-23 17:17:55,692] Making new env: Breakout-v0 {'_save_step': 500000, '_test_step': 50000, 'action_repeat': 4, 'backend': 'tf', 'batch_size': 32, 'cnn_format': 'NHWC', 'discount': 0.99, 'display': True, 'double_q': False, 'dueling': False, 'env_name': 'Breakout-v0', 'env_type': 'detail', 'ep_end': 0.1, 'ep_end_t': 1000000, 'ep_start': 1.0, 'history_length': 4, 'learn_start': 50000.0, 'learning_rate': 0.00025, 'learning_rate_decay': 0.96, 'learning_rate_decay_step': 50000, 'learning_rate_minimum': 0.00025, 'max_delta': 1, 'max_reward': 1.0, 'max_step': 50000000, 'memory_size': 1000000, 'min_delta': -1, 'min_reward': -1.0, 'model': 'm1', 'random_start': 30, 'scale': 10000, 'screen_height': 84, 'screen_width': 84, 'target_q_update_step': 10000, 'train_frequency': 4} Traceback (most recent call last): File "main.py", line 70, in tf.app.run() File "/Tuto_DQN/env/local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 43, in run sys.exit(main(sys.argv[:1] + flags_passthrough)) File "main.py", line 62, in main agent = Agent(config, env, sess) File "/Tuto_DQN/tuto_dqn/DQN-tensorflow/dqn/agent.py", line 23, in init self.memory = ReplayMemory(self.config, self.model_dir) File "/Tuto_DQN/tuto_dqn/DQN-tensorflow/dqn/replay_memory.py", line 18, in init self.screens = np.empty((self.memory_size, config.screen_height, config.screen_width), dtype = np.float16) MemoryError
I installed all the dependencies according to the issue #44 Add requirements.txt or alternative
I am running it on my laptop which is a samsung series 7 ultra notebook
Could someone advise me on how to overcome this issue? any comment would be highly appreciated
Thanks a lot!!
The text was updated successfully, but these errors were encountered: