running in docker (turn off display on screen)

[didw]

Hi kuz,
Thank for great code for DQN.
It's very helpful to study deeply for DQN.

I'm trying to run this code in docker environment but it failed after returns below messages.

I think it happens because docker is not supporting qt library.
Is that possible to turn off to display process on screen and just save images such as gif?

root@b04d950e403d:~/DeepLearning/DeepMind-Atari-Deep-Q-Learner# ./run_gpu breakout
-framework alewrap -game_path /root/DeepLearning/DeepMind-Atari-Deep-Q-Learner/roms/ -name DQN3_0_1_breakout_FULL_Y -env breakout -env_params useRGB=true -agent NeuralQLearner -agent_params lr=0.00025,ep=1,ep_end=0.1,ep_endt=replay_memory,discount=0.99,hist_len=4,learn_start=50000,replay_memory=1000000,update_freq=4,n_replay=1,network="convnet_atari3",preproc="net_downsample_2x_full_y",state_dim=7056,minibatch_size=32,rescale_r=1,ncols=1,bufferSize=512,valid_size=500,target_q=10000,clip_delta=1,min_reward=-1,max_reward=1 -steps 50000000 -eval_freq 250000 -eval_steps 125000 -prog_freq 10000 -save_freq 125000 -actrep 4 -gpu 0 -random_starts 30 -pool_frms type="max",size=2 -seed 1 -threads 4
Unable to connect X11 server (continuing with -nographics)
Torch Threads:  4
Using GPU device id:    0
Torch Seed:     1
CUTorch Seed:   1791095845

Playing:        breakout
Creating Agent Network from convnet_atari3
nn.Sequential {
  [input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> (7) -> (8) -> (9) -> (10) -> (11) -> output]
  (1): nn.Reshape(4x84x84)
  (2): nn.SpatialConvolution(4 -> 32, 8x8, 4,4, 1,1)
  (3): nn.Rectifier
  (4): nn.SpatialConvolution(32 -> 64, 4x4, 2,2)
  (5): nn.Rectifier
  (6): nn.SpatialConvolution(64 -> 64, 3x3)
  (7): nn.Rectifier
  (8): nn.Reshape(3136)
  (9): nn.Linear(3136 -> 512)
  (10): nn.Rectifier
  (11): nn.Linear(512 -> 4)
}
Convolutional layers flattened output size:     3136
Set up Torch using these options:
eval_steps      125000
seed    1
name    DQN3_0_1_breakout_FULL_Y
verbose 2
network
pool_frms       table: 0x413352f8
saveNetworkParams       false
gpu     1
eval_freq       250000
tensorType      torch.FloatTensor
env_params      table: 0x41335320
steps   50000000
prog_freq       10000
agent_params    table: 0x41335230
save_versions   0
framework       alewrap
agent   NeuralQLearner
threads 4
actrep  4
random_starts   30
game_path       /root/DeepLearning/DeepMind-Atari-Deep-Q-Learner/roms/
save_freq       125000
env     breakout
Iteration ..    0
qlua: not loading module qtgui (running with -nographics)
qlua: qtwidget window functions will not be usable (running with -nographics)
qtwidget window functions will not be usable (running with -nographics)
qlua: not loading module qtuiloader (running with -nographics)
qlua: /root/torch/install/share/lua/5.1/image/init.lua:1448: attempt to index global 'qtuiloader' (a nil value)
stack traceback:
        [C]: in function '__index'
        /root/torch/install/share/lua/5.1/image/init.lua:1448: in function 'window'
        /root/torch/install/share/lua/5.1/image/init.lua:1399: in function 'display'
        train_agent.lua:98: in main chunk
root@b04d950e403d:~/DeepLearning/DeepMind-Atari-Deep-Q-Learner#

[didw]

Never mind. I commented line to display.