AttributeError: 'Namespace' object has no attribute 'out_filename'

[guillermo-carrasco]

AttributeError: 'Namespace' object has no attribute 'out_filename'

[tdb-alcorn]

Woohoo! Thanks again for the feedback

[tdb-alcorn]

Derp, that's dead code from a previous iteration. It should be fixed by 08003db. I have pushed up a patch version v0.1.4.

If you'd be willing to verify that v0.1.4 works for you I'd be super grateful!
(just pip uninstall q2 then pip install q2 then run q2 train random --env gym.CartPole-v1 --episodes 10 --render again)

[guillermo-carrasco]

pip install --upgrade q2 did the job 🙂

(python3)  ~/repos_and_code/reinforced_test ~> q2 train random --env gym.CartPole-v1 --episodes 10 --render
WARN: gym.spaces.Box autodetected dtype as <class 'numpy.float32'>. Please provide explicit dtype.
2018-07-03 08:13:27.388676: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2018-07-03 08:13:27.401476: W tensorflow/core/framework/op_kernel.cc:1318] OP_REQUIRES failed at save_restore_tensor.cc:170 : Invalid argument: Unsuccessful TensorSliceReader constructor: Failed to get matching files on checkpoints/RandomAgent.ckpt: Not found: checkpoints; No such
file or directory
Checkpoint file not found, skipping load
Running environment gym.CartPole-v1
WARN: gym.spaces.Box autodetected dtype as <class 'numpy.float32'>. Please provide explicit dtype.
Episode: 0      Frame: 12       Reward: 1.00 / 12.00    Framerate: 125.16
Episode: 1      Frame: 12       Reward: 1.00 / 12.00    Framerate: 150.03
Episode: 2      Frame: 16       Reward: 1.00 / 16.00    Framerate: 137.71
Episode: 3      Frame: 14       Reward: 1.00 / 14.00    Framerate: 151.63
Episode: 4      Frame: 62       Reward: 1.00 / 62.00    Framerate: 95.88
Episode: 5      Frame: 18       Reward: 1.00 / 18.00    Framerate: 129.20
Episode: 6      Frame: 16       Reward: 1.00 / 16.00    Framerate: 146.31
Episode: 7      Frame: 14       Reward: 1.00 / 14.00    Framerate: 81.75
Episode: 8      Frame: 17       Reward: 1.00 / 17.00    Framerate: 153.90
Episode: 9      Frame: 15       Reward: 1.00 / 15.00    Framerate: 113.34

Perfect. thanks!