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Using TensorFlow backend.
WARNING:tensorflow:From /root/Deep-RL-Keras/utils/networks.py:8: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.
WARNING:tensorflow:From /root/Deep-RL-Keras/utils/networks.py:10: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.
WARNING:tensorflow:From main.py:62: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.
WARNING:tensorflow:From /root/miniconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:68: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.
WARNING:tensorflow:From /root/miniconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:508: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
WARNING:tensorflow:From /root/miniconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:3837: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.
Score: 0%| | 0/5000 [00:00<?, ? episodes/s]Traceback (most recent call last):
File "main.py", line 118, in
main()
File "main.py", line 96, in main
stats = algo.train(env, args, summary_writer)
File "/root/Deep-RL-Keras/A2C/a2c.py", line 87, in train
a = self.policy_action(old_state)
File "/root/Deep-RL-Keras/A2C/a2c.py", line 47, in policy_action
return np.random.choice(np.arange(self.act_dim), 1, p=self.actor.predict(s).ravel())[0]
File "/root/Deep-RL-Keras/A2C/agent.py", line 21, in predict
return self.model.predict(self.reshape(inp))
File "/root/miniconda3/lib/python3.7/site-packages/keras/engine/training.py", line 1817, in predict
check_batch_axis=False)
File "/root/miniconda3/lib/python3.7/site-packages/keras/engine/training.py", line 113, in _standardize_input_data
'with shape ' + str(data_shape))
ValueError: Error when checking : expected input_1 to have 5 dimensions, but got array with shape (4, 210, 160, 3)
Score: 0%|
The text was updated successfully, but these errors were encountered:
Using TensorFlow backend.
WARNING:tensorflow:From /root/Deep-RL-Keras/utils/networks.py:8: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.
WARNING:tensorflow:From /root/Deep-RL-Keras/utils/networks.py:10: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.
WARNING:tensorflow:From main.py:62: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.
WARNING:tensorflow:From /root/miniconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:68: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.
WARNING:tensorflow:From /root/miniconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:508: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
WARNING:tensorflow:From /root/miniconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:3837: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.
Score: 0%| | 0/5000 [00:00<?, ? episodes/s]Traceback (most recent call last):
File "main.py", line 118, in
main()
File "main.py", line 96, in main
stats = algo.train(env, args, summary_writer)
File "/root/Deep-RL-Keras/A2C/a2c.py", line 87, in train
a = self.policy_action(old_state)
File "/root/Deep-RL-Keras/A2C/a2c.py", line 47, in policy_action
return np.random.choice(np.arange(self.act_dim), 1, p=self.actor.predict(s).ravel())[0]
File "/root/Deep-RL-Keras/A2C/agent.py", line 21, in predict
return self.model.predict(self.reshape(inp))
File "/root/miniconda3/lib/python3.7/site-packages/keras/engine/training.py", line 1817, in predict
check_batch_axis=False)
File "/root/miniconda3/lib/python3.7/site-packages/keras/engine/training.py", line 113, in _standardize_input_data
'with shape ' + str(data_shape))
ValueError: Error when checking : expected input_1 to have 5 dimensions, but got array with shape (4, 210, 160, 3)
Score: 0%|
The text was updated successfully, but these errors were encountered: