Problem running with GPU? about dqn-in-the-caffe HOT 6 CLOSED

Very sorry - I think its training fine with GPU now - forgot to rebuild all/delete old build directory?

I'm not very good with computers :(

from dqn-in-the-caffe.

Yes, you need to rebuild it if you change CPU_ONLY option.

./dqn FLAGS_gpu true is not a correct way to change the values of the flags. If you want to tun on the gpu flag, you should just write ./dqn -gpu. If you do so, you don't have to modify dqn_main.cpp.

from dqn-in-the-caffe.

Thanks alot. Really nice code, very clear and compact :)

I'm writing everything down, so if you want to post it just let me know?

May I ask how often does caffe, save the network, or just give some feedback on the lost function and training of the network? I'm new to caffe, and still working through your code. I guess I need to look into how to parse stuff into caffe as well?

I'm also working with some really good guys on a Python/Theano/RL-glue implementation. Testing, network saving and output/control in general a more formal process, (because of RL-glue), and easier to follow, for NOOBs at least. We have a forum - it would be great if you joined and gave us some direction, if you have the time?

https://groups.google.com/forum/#!forum/deep-q-learning

https://github.com/spragunr/deep_q_rl

Finally I'm also trying to implement a very lightweight version, in Lua/Torch. This would be a bit more closer to Deepminds implementation as they've made their emulator public now,

https://github.com/deepmind/xitari

https://github.com/deepmind/alewrap

Cheers 👍

from dqn-in-the-caffe.

Currently the network parameters are saved into a file after every 50000 iterations. You can change the interval by changing snapshot param in dqn_solver.prototxt.

Thank you for letting me know other projects. The forum looks great.

from dqn-in-the-caffe.

Very warm welcome, great to have you as part of the gang :)

Sorry, yes I see, from http://caffe.berkeleyvision.org/tutorial/solver.html

Snapshotting is configured by:

/ The snapshot interval in iterations.
snapshot: 5000
/ File path prefix for snapshotting model weights and solver state.
/ Note: this is relative to the invocation of the caffe utility, not the
/ solver definition file.
snapshot_prefix: "/path/to/model"
/ Snapshot the diff along with the weights. This can help debugging training
/ but takes more storage.
snapshot_diff: false
/ A final snapshot is saved at the end of training unless
/ this flag is set to false. The default is true.
snapshot_after_train: true

in the solver definition prototxt.

I like caffe it's really well documented.

A bit heavy going at first, but a good investment!

from dqn-in-the-caffe.

Hi I have another question.

If I set the GPU mode in solver prototxt, Do I need to set the mode of GPU in dqn_mian again?

from dqn-in-the-caffe.