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[2023-09-12 15:15:28,046][62109] Using GPUs [0] for process 0 (actually maps to GPUs [0])
[2023-09-12 15:15:28,046][62109] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for learning process 0
[2023-09-12 15:15:28,091][62109] Num visible devices: 1
[2023-09-12 15:15:28,133][62109] Starting seed is not provided
[2023-09-12 15:15:28,133][62109] Using GPUs [0] for process 0 (actually maps to GPUs [0])
[2023-09-12 15:15:28,133][62109] Initializing actor-critic model on device cuda:0
[2023-09-12 15:15:28,134][62109] RunningMeanStd input shape: (23,)
[2023-09-12 15:15:28,134][62109] RunningMeanStd input shape: (3, 72, 128)
[2023-09-12 15:15:28,135][62109] RunningMeanStd input shape: (1,)
[2023-09-12 15:15:28,155][62109] ConvEncoder: input_channels=3
[2023-09-12 15:15:28,438][62109] Conv encoder output size: 512
[2023-09-12 15:15:28,440][62109] Policy head output size: 640
[2023-09-12 15:15:28,469][62109] Created Actor Critic model with architecture:
[2023-09-12 15:15:28,469][62109] ActorCriticSharedWeights(
(obs_normalizer): ObservationNormalizer(
(running_mean_std): RunningMeanStdDictInPlace(
(running_mean_std): ModuleDict(
(measurements): RunningMeanStdInPlace()
(obs): RunningMeanStdInPlace()
)
)
)
(returns_normalizer): RecursiveScriptModule(original_name=RunningMeanStdInPlace)
(encoder): VizdoomEncoder(
(basic_encoder): ConvEncoder(
(enc): RecursiveScriptModule(
original_name=ConvEncoderImpl
(conv_head): RecursiveScriptModule(
original_name=Sequential
(0): RecursiveScriptModule(original_name=Conv2d)
(1): RecursiveScriptModule(original_name=ELU)
(2): RecursiveScriptModule(original_name=Conv2d)
(3): RecursiveScriptModule(original_name=ELU)
(4): RecursiveScriptModule(original_name=Conv2d)
(5): RecursiveScriptModule(original_name=ELU)
)
(mlp_layers): RecursiveScriptModule(
original_name=Sequential
(0): RecursiveScriptModule(original_name=Linear)
(1): RecursiveScriptModule(original_name=ELU)
)
)
)
(measurements_head): Sequential(
(0): Linear(in_features=23, out_features=128, bias=True)
(1): ELU(alpha=1.0)
(2): Linear(in_features=128, out_features=128, bias=True)
(3): ELU(alpha=1.0)
)
)
(core): ModelCoreRNN(
(core): GRU(640, 512)
)
(decoder): MlpDecoder(
(mlp): Identity()
)
(critic_linear): Linear(in_features=512, out_features=1, bias=True)
(action_parameterization): ActionParameterizationDefault(
(distribution_linear): Linear(in_features=512, out_features=15, bias=True)
)
)
[2023-09-12 15:15:29,811][62109] Using optimizer <class 'torch.optim.adam.Adam'>
[2023-09-12 15:15:29,811][62109] No checkpoints found
[2023-09-12 15:15:29,812][62109] Did not load from checkpoint, starting from scratch!
[2023-09-12 15:15:29,812][62109] Initialized policy 0 weights for model version 0
[2023-09-12 15:15:29,814][62109] LearnerWorker_p0 finished initialization!
[2023-09-12 15:15:29,815][62109] Using GPUs [0] for process 0 (actually maps to GPUs [0])
[2023-09-12 15:15:29,990][62305] Worker 3 uses CPU cores [12, 13, 14, 15]
[2023-09-12 15:15:29,990][62262] Worker 0 uses CPU cores [0, 1, 2, 3]
[2023-09-12 15:15:29,995][62307] Worker 6 uses CPU cores [24, 25, 26, 27]
[2023-09-12 15:15:30,002][62265] Worker 2 uses CPU cores [8, 9, 10, 11]
[2023-09-12 15:15:30,008][62266] Worker 1 uses CPU cores [4, 5, 6, 7]
[2023-09-12 15:15:30,164][62309] Worker 7 uses CPU cores [28, 29, 30, 31]
[2023-09-12 15:15:30,227][62267] Worker 4 uses CPU cores [16, 17, 18, 19]
[2023-09-12 15:15:30,408][62259] Using GPUs [0] for process 0 (actually maps to GPUs [0])
[2023-09-12 15:15:30,408][62259] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for inference process 0
[2023-09-12 15:15:30,408][62308] Worker 5 uses CPU cores [20, 21, 22, 23]
[2023-09-12 15:15:30,426][62259] Num visible devices: 1
[2023-09-12 15:15:31,129][62259] RunningMeanStd input shape: (23,)
[2023-09-12 15:15:31,130][62259] RunningMeanStd input shape: (3, 72, 128)
[2023-09-12 15:15:31,130][62259] RunningMeanStd input shape: (1,)
[2023-09-12 15:15:31,142][62259] ConvEncoder: input_channels=3
[2023-09-12 15:15:31,249][62259] Conv encoder output size: 512
[2023-09-12 15:15:31,250][62259] Policy head output size: 640
[2023-09-12 15:15:31,611][62265] Multi agent env, num agents: 8
[2023-09-12 15:15:31,611][62262] Multi agent env, num agents: 8
[2023-09-12 15:15:31,613][62267] Multi agent env, num agents: 8
[2023-09-12 15:15:31,613][62308] Multi agent env, num agents: 8
[2023-09-12 15:15:31,614][62266] Multi agent env, num agents: 8
[2023-09-12 15:15:31,615][62307] Multi agent env, num agents: 8
[2023-09-12 15:15:31,615][62309] Multi agent env, num agents: 8
[2023-09-12 15:15:31,615][62305] Multi agent env, num agents: 8
[2023-09-12 15:15:31,645][62267] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:15:31,646][62308] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:15:31,646][62266] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:15:31,647][62307] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:15:31,648][62267] Multi agent env, num agents: 8
[2023-09-12 15:15:31,649][62308] Multi agent env, num agents: 8
[2023-09-12 15:15:31,650][62266] Multi agent env, num agents: 8
[2023-09-12 15:15:31,650][62307] Multi agent env, num agents: 8
[2023-09-12 15:15:31,658][62265] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:15:31,658][62262] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:15:31,664][62262] Multi agent env, num agents: 8
[2023-09-12 15:15:31,664][62265] Multi agent env, num agents: 8
[2023-09-12 15:15:31,665][62305] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:15:31,665][62309] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:15:31,671][62305] Multi agent env, num agents: 8
[2023-09-12 15:15:31,671][62309] Multi agent env, num agents: 8
[2023-09-12 15:15:31,680][62308] Port 40800 is available
[2023-09-12 15:15:31,680][62308] Using port 40800
[2023-09-12 15:15:31,680][62266] Port 40400 is available
[2023-09-12 15:15:31,680][62266] Using port 40400
[2023-09-12 15:15:31,681][62308] Initializing env for player 0, init_info: {'port': 40800}...
[2023-09-12 15:15:31,681][62266] Initializing env for player 0, init_info: {'port': 40400}...
[2023-09-12 15:15:31,690][62307] UDP port 40900 cannot be used [Errno 98] Address already in use
[2023-09-12 15:15:31,691][62307] Port 41900 is available
[2023-09-12 15:15:31,691][62307] Using port 41900
[2023-09-12 15:15:31,692][62307] Initializing env for player 0, init_info: {'port': 41900}...
[2023-09-12 15:15:31,693][62267] UDP port 40700 cannot be used [Errno 98] Address already in use
[2023-09-12 15:15:31,694][62267] Port 41700 is available
[2023-09-12 15:15:31,694][62267] Using port 41700
[2023-09-12 15:15:31,695][62267] Initializing env for player 0, init_info: {'port': 41700}...
[2023-09-12 15:15:31,711][62265] Port 40500 is available
[2023-09-12 15:15:31,711][62265] Using port 40500
[2023-09-12 15:15:31,712][62265] Initializing env for player 0, init_info: {'port': 40500}...
[2023-09-12 15:15:31,731][62308] Initializing env for player 1, init_info: {'port': 40800}...
[2023-09-12 15:15:31,732][62266] Using port 40400 on host...
[2023-09-12 15:15:31,733][62308] Using port 40800 on host...
[2023-09-12 15:15:31,733][62266] Initializing env for player 1, init_info: {'port': 40400}...
[2023-09-12 15:15:31,734][62267] Using port 41700 on host...
[2023-09-12 15:15:31,739][62307] Using port 41900 on host...
[2023-09-12 15:15:31,742][62307] Initializing env for player 1, init_info: {'port': 41900}...
[2023-09-12 15:15:31,745][62267] Initializing env for player 1, init_info: {'port': 41700}...
[2023-09-12 15:15:31,757][62265] Using port 40500 on host...
[2023-09-12 15:15:31,762][62265] Initializing env for player 1, init_info: {'port': 40500}...
[2023-09-12 15:15:31,782][62308] Initializing env for player 2, init_info: {'port': 40800}...
[2023-09-12 15:15:31,783][62266] Initializing env for player 2, init_info: {'port': 40400}...
[2023-09-12 15:15:31,788][62305] Port 40600 is available
[2023-09-12 15:15:31,789][62305] Using port 40600
[2023-09-12 15:15:31,792][62309] Port 41000 is available
[2023-09-12 15:15:31,792][62309] Using port 41000
[2023-09-12 15:15:31,794][62309] Initializing env for player 0, init_info: {'port': 41000}...
[2023-09-12 15:15:31,794][62307] Initializing env for player 2, init_info: {'port': 41900}...
[2023-09-12 15:15:31,799][62262] Port 40300 is available
[2023-09-12 15:15:31,800][62262] Using port 40300
[2023-09-12 15:15:31,800][62267] Initializing env for player 2, init_info: {'port': 41700}...
[2023-09-12 15:15:31,801][62262] Initializing env for player 0, init_info: {'port': 40300}...
[2023-09-12 15:15:31,830][62309] Using port 41000 on host...
[2023-09-12 15:15:31,831][62265] Initializing env for player 2, init_info: {'port': 40500}...
[2023-09-12 15:15:31,832][62308] Initializing env for player 3, init_info: {'port': 40800}...
[2023-09-12 15:15:31,835][62266] Initializing env for player 3, init_info: {'port': 40400}...
[2023-09-12 15:15:31,845][62309] Initializing env for player 1, init_info: {'port': 41000}...
[2023-09-12 15:15:31,846][62262] Using port 40300 on host...
[2023-09-12 15:15:31,851][62267] Initializing env for player 3, init_info: {'port': 41700}...
[2023-09-12 15:15:31,852][62262] Initializing env for player 1, init_info: {'port': 40300}...
[2023-09-12 15:15:31,855][62307] Initializing env for player 3, init_info: {'port': 41900}...
[2023-09-12 15:15:31,883][62308] Initializing env for player 4, init_info: {'port': 40800}...
[2023-09-12 15:15:31,886][62265] Initializing env for player 3, init_info: {'port': 40500}...
[2023-09-12 15:15:31,891][62266] Initializing env for player 4, init_info: {'port': 40400}...
[2023-09-12 15:15:31,897][62309] Initializing env for player 2, init_info: {'port': 41000}...
[2023-09-12 15:15:31,901][62262] Initializing env for player 2, init_info: {'port': 40300}...
[2023-09-12 15:15:31,903][62267] Initializing env for player 4, init_info: {'port': 41700}...
[2023-09-12 15:15:31,907][62307] Initializing env for player 4, init_info: {'port': 41900}...
[2023-09-12 15:15:31,933][62308] Initializing env for player 5, init_info: {'port': 40800}...
[2023-09-12 15:15:31,943][62266] Initializing env for player 5, init_info: {'port': 40400}...
[2023-09-12 15:15:31,943][62265] Initializing env for player 4, init_info: {'port': 40500}...
[2023-09-12 15:15:31,948][62309] Initializing env for player 3, init_info: {'port': 41000}...
[2023-09-12 15:15:31,952][62262] Initializing env for player 3, init_info: {'port': 40300}...
[2023-09-12 15:15:31,955][62267] Initializing env for player 5, init_info: {'port': 41700}...
[2023-09-12 15:15:31,963][62307] Initializing env for player 5, init_info: {'port': 41900}...
[2023-09-12 15:15:31,983][62308] Initializing env for player 6, init_info: {'port': 40800}...
[2023-09-12 15:15:31,991][62265] Initializing env for player 5, init_info: {'port': 40500}...
[2023-09-12 15:15:31,991][62266] Initializing env for player 6, init_info: {'port': 40400}...
[2023-09-12 15:15:31,999][62309] Initializing env for player 4, init_info: {'port': 41000}...
[2023-09-12 15:15:32,011][62267] Initializing env for player 6, init_info: {'port': 41700}...
[2023-09-12 15:15:32,012][62262] Initializing env for player 4, init_info: {'port': 40300}...
[2023-09-12 15:15:32,015][62307] Initializing env for player 6, init_info: {'port': 41900}...
[2023-09-12 15:15:32,047][62265] Initializing env for player 6, init_info: {'port': 40500}...
[2023-09-12 15:15:32,055][62308] Initializing env for player 7, init_info: {'port': 40800}...
[2023-09-12 15:15:32,063][62307] Initializing env for player 7, init_info: {'port': 41900}...
[2023-09-12 15:15:32,051][62266] Initializing env for player 7, init_info: {'port': 40400}...
[2023-09-12 15:15:32,063][62309] Initializing env for player 5, init_info: {'port': 41000}...
[2023-09-12 15:15:32,063][62267] Initializing env for player 7, init_info: {'port': 41700}...
[2023-09-12 15:15:32,103][62309] Initializing env for player 6, init_info: {'port': 41000}...
[2023-09-12 15:15:32,104][62265] Initializing env for player 7, init_info: {'port': 40500}...
[2023-09-12 15:15:32,114][62262] Initializing env for player 5, init_info: {'port': 40300}...
[2023-09-12 15:15:32,151][62309] Initializing env for player 7, init_info: {'port': 41000}...
[2023-09-12 15:15:32,163][62262] Initializing env for player 6, init_info: {'port': 40300}...
[2023-09-12 15:15:32,215][62262] Initializing env for player 7, init_info: {'port': 40300}...
[2023-09-12 15:15:33,544][62266] Initialized w:1 v:0 player:0
[2023-09-12 15:15:33,545][62266] Initialized w:1 v:0 player:7
[2023-09-12 15:15:33,545][62266] Initialized w:1 v:0 player:1
[2023-09-12 15:15:33,545][62266] Initialized w:1 v:0 player:3
[2023-09-12 15:15:33,546][62266] Initialized w:1 v:0 player:2
[2023-09-12 15:15:33,546][62266] Initialized w:1 v:0 player:4
[2023-09-12 15:15:33,546][62266] Initialized w:1 v:0 player:5
[2023-09-12 15:15:33,547][62266] Initialized w:1 v:0 player:6
[2023-09-12 15:15:33,549][62266] 8 agent workers initialized for env 1!
[2023-09-12 15:15:33,569][62305] Initializing env for player 0, init_info: {'port': 40600}...
[2023-09-12 15:15:33,596][62266] Decorrelating experience for 0 frames...
[2023-09-12 15:15:33,598][62266] Port 40401 is available
[2023-09-12 15:15:33,599][62266] Using port 40401
[2023-09-12 15:15:33,615][62305] Using port 40600 on host...
[2023-09-12 15:15:33,616][62309] Initialized w:7 v:0 player:1
[2023-09-12 15:15:33,618][62309] Initialized w:7 v:0 player:5
[2023-09-12 15:15:33,618][62309] Initialized w:7 v:0 player:4
[2023-09-12 15:15:33,618][62309] Initialized w:7 v:0 player:6
[2023-09-12 15:15:33,618][62309] Initialized w:7 v:0 player:3
[2023-09-12 15:15:33,618][62309] Initialized w:7 v:0 player:0
[2023-09-12 15:15:33,618][62309] Initialized w:7 v:0 player:2
[2023-09-12 15:15:33,618][62309] Initialized w:7 v:0 player:7
[2023-09-12 15:15:33,621][62309] 8 agent workers initialized for env 7!
[2023-09-12 15:15:33,622][62305] Initializing env for player 1, init_info: {'port': 40600}...
[2023-09-12 15:15:33,658][62308] Initialized w:5 v:0 player:5
[2023-09-12 15:15:33,659][62308] Initialized w:5 v:0 player:7
[2023-09-12 15:15:33,660][62308] Initialized w:5 v:0 player:0
[2023-09-12 15:15:33,661][62308] Initialized w:5 v:0 player:6
[2023-09-12 15:15:33,662][62308] Initialized w:5 v:0 player:4
[2023-09-12 15:15:33,662][62308] Initialized w:5 v:0 player:3
[2023-09-12 15:15:33,662][62308] Initialized w:5 v:0 player:2
[2023-09-12 15:15:33,663][62308] Initialized w:5 v:0 player:1
[2023-09-12 15:15:33,664][62308] 8 agent workers initialized for env 5!
[2023-09-12 15:15:33,665][62309] Decorrelating experience for 0 frames...
[2023-09-12 15:15:33,666][62309] Port 41001 is available
[2023-09-12 15:15:33,667][62309] Using port 41001
[2023-09-12 15:15:33,672][62305] Initializing env for player 2, init_info: {'port': 40600}...
[2023-09-12 15:15:33,723][62305] Initializing env for player 3, init_info: {'port': 40600}...
[2023-09-12 15:15:33,748][62308] Decorrelating experience for 0 frames...
[2023-09-12 15:15:33,749][62308] Port 40801 is available
[2023-09-12 15:15:33,750][62308] Using port 40801
[2023-09-12 15:15:33,750][62308] Initializing env for player 0, init_info: {'port': 40801}...
[2023-09-12 15:15:33,781][62308] Using port 40801 on host...
[2023-09-12 15:15:33,783][62267] Initialized w:4 v:0 player:0
[2023-09-12 15:15:33,785][62267] Initialized w:4 v:0 player:4
[2023-09-12 15:15:33,785][62305] Initializing env for player 4, init_info: {'port': 40600}...
[2023-09-12 15:15:33,785][62267] Initialized w:4 v:0 player:5
[2023-09-12 15:15:33,785][62267] Initialized w:4 v:0 player:6
[2023-09-12 15:15:33,785][62267] Initialized w:4 v:0 player:1
[2023-09-12 15:15:33,785][62267] Initialized w:4 v:0 player:7
[2023-09-12 15:15:33,786][62267] Initialized w:4 v:0 player:3
[2023-09-12 15:15:33,787][62267] Initialized w:4 v:0 player:2
[2023-09-12 15:15:33,788][62267] 8 agent workers initialized for env 4!
[2023-09-12 15:15:33,791][62265] Initialized w:2 v:0 player:4
[2023-09-12 15:15:33,792][62265] Initialized w:2 v:0 player:0
[2023-09-12 15:15:33,792][62265] Initialized w:2 v:0 player:7
[2023-09-12 15:15:33,793][62265] Initialized w:2 v:0 player:2
[2023-09-12 15:15:33,793][62265] Initialized w:2 v:0 player:3
[2023-09-12 15:15:33,794][62265] Initialized w:2 v:0 player:1
[2023-09-12 15:15:33,794][62265] Initialized w:2 v:0 player:5
[2023-09-12 15:15:33,794][62265] Initialized w:2 v:0 player:6
[2023-09-12 15:15:33,796][62265] 8 agent workers initialized for env 2!
[2023-09-12 15:15:33,800][62308] Initializing env for player 1, init_info: {'port': 40801}...
[2023-09-12 15:15:33,801][62266] Initializing env for player 0, init_info: {'port': 40401}...
[2023-09-12 15:15:33,842][62266] Using port 40401 on host...
[2023-09-12 15:15:33,844][62265] Decorrelating experience for 0 frames...
[2023-09-12 15:15:33,846][62265] Port 40501 is available
[2023-09-12 15:15:33,846][62265] Using port 40501
[2023-09-12 15:15:33,847][62265] Initializing env for player 0, init_info: {'port': 40501}...
[2023-09-12 15:15:33,847][62305] Initializing env for player 5, init_info: {'port': 40600}...
[2023-09-12 15:15:33,851][62308] Initializing env for player 2, init_info: {'port': 40801}...
[2023-09-12 15:15:33,851][62266] Initializing env for player 1, init_info: {'port': 40401}...
[2023-09-12 15:15:33,868][62267] Decorrelating experience for 0 frames...
[2023-09-12 15:15:33,870][62267] Port 40701 is available
[2023-09-12 15:15:33,870][62267] Using port 40701
[2023-09-12 15:15:33,871][62267] Initializing env for player 0, init_info: {'port': 40701}...
[2023-09-12 15:15:33,892][62265] Using port 40501 on host...
[2023-09-12 15:15:33,895][62305] Initializing env for player 6, init_info: {'port': 40600}...
[2023-09-12 15:15:33,901][62265] Initializing env for player 1, init_info: {'port': 40501}...
[2023-09-12 15:15:33,906][62308] Initializing env for player 3, init_info: {'port': 40801}...
[2023-09-12 15:15:33,906][62266] Initializing env for player 2, init_info: {'port': 40401}...
[2023-09-12 15:15:33,917][62267] Using port 40701 on host...
[2023-09-12 15:15:33,921][62267] Initializing env for player 1, init_info: {'port': 40701}...
[2023-09-12 15:15:33,944][62307] Initialized w:6 v:0 player:5
[2023-09-12 15:15:33,945][62307] Initialized w:6 v:0 player:7
[2023-09-12 15:15:33,947][62305] Initializing env for player 7, init_info: {'port': 40600}...
[2023-09-12 15:15:33,947][62307] Initialized w:6 v:0 player:2
[2023-09-12 15:15:33,948][62307] Initialized w:6 v:0 player:4
[2023-09-12 15:15:33,949][62307] Initialized w:6 v:0 player:0
[2023-09-12 15:15:33,950][62307] Initialized w:6 v:0 player:6
[2023-09-12 15:15:33,951][62307] Initialized w:6 v:0 player:3
[2023-09-12 15:15:33,956][62262] Initialized w:0 v:0 player:6
[2023-09-12 15:15:33,957][62265] Initializing env for player 2, init_info: {'port': 40501}...
[2023-09-12 15:15:33,958][62262] Initialized w:0 v:0 player:7
[2023-09-12 15:15:33,959][62262] Initialized w:0 v:0 player:5
[2023-09-12 15:15:33,959][62262] Initialized w:0 v:0 player:1
[2023-09-12 15:15:33,960][62262] Initialized w:0 v:0 player:0
[2023-09-12 15:15:33,960][62262] Initialized w:0 v:0 player:4
[2023-09-12 15:15:33,960][62262] Initialized w:0 v:0 player:2
[2023-09-12 15:15:33,960][62262] Initialized w:0 v:0 player:3
[2023-09-12 15:15:33,963][62262] 8 agent workers initialized for env 0!
[2023-09-12 15:15:33,964][62266] Initializing env for player 3, init_info: {'port': 40401}...
[2023-09-12 15:15:33,967][62308] Initializing env for player 4, init_info: {'port': 40801}...
[2023-09-12 15:15:33,970][62309] Initializing env for player 0, init_info: {'port': 41001}...
[2023-09-12 15:15:33,972][62267] Initializing env for player 2, init_info: {'port': 40701}...
[2023-09-12 15:15:34,006][62262] Decorrelating experience for 0 frames...
[2023-09-12 15:15:34,007][62265] Initializing env for player 3, init_info: {'port': 40501}...
[2023-09-12 15:15:34,008][62262] Port 40301 is available
[2023-09-12 15:15:34,008][62262] Using port 40301
[2023-09-12 15:15:34,009][62262] Initializing env for player 0, init_info: {'port': 40301}...
[2023-09-12 15:15:34,011][62308] Initializing env for player 5, init_info: {'port': 40801}...
[2023-09-12 15:15:34,016][62309] Using port 41001 on host...
[2023-09-12 15:15:34,020][62266] Initializing env for player 4, init_info: {'port': 40401}...
[2023-09-12 15:15:34,025][62309] Initializing env for player 1, init_info: {'port': 41001}...
[2023-09-12 15:15:34,034][62267] Initializing env for player 3, init_info: {'port': 40701}...
[2023-09-12 15:15:34,056][62262] Using port 40301 on host...
[2023-09-12 15:15:34,061][62308] Initializing env for player 6, init_info: {'port': 40801}...
[2023-09-12 15:15:34,062][62265] Initializing env for player 4, init_info: {'port': 40501}...
[2023-09-12 15:15:34,065][62262] Initializing env for player 1, init_info: {'port': 40301}...
[2023-09-12 15:15:34,071][62266] Initializing env for player 5, init_info: {'port': 40401}...
[2023-09-12 15:15:34,085][62309] Initializing env for player 2, init_info: {'port': 41001}...
[2023-09-12 15:15:34,091][62267] Initializing env for player 4, init_info: {'port': 40701}...
[2023-09-12 15:15:34,119][62265] Initializing env for player 5, init_info: {'port': 40501}...
[2023-09-12 15:15:34,120][62308] Initializing env for player 7, init_info: {'port': 40801}...
[2023-09-12 15:15:34,121][62266] Initializing env for player 6, init_info: {'port': 40401}...
[2023-09-12 15:15:34,123][62262] Initializing env for player 2, init_info: {'port': 40301}...
[2023-09-12 15:15:34,135][62309] Initializing env for player 3, init_info: {'port': 41001}...
[2023-09-12 15:15:34,143][62267] Initializing env for player 5, init_info: {'port': 40701}...
[2023-09-12 15:15:34,173][62262] Initializing env for player 3, init_info: {'port': 40301}...
[2023-09-12 15:15:34,175][62266] Initializing env for player 7, init_info: {'port': 40401}...
[2023-09-12 15:15:34,178][62265] Initializing env for player 6, init_info: {'port': 40501}...
[2023-09-12 15:15:34,201][62267] Initializing env for player 6, init_info: {'port': 40701}...
[2023-09-12 15:15:34,204][62309] Initializing env for player 4, init_info: {'port': 41001}...
[2023-09-12 15:15:34,224][62262] Initializing env for player 4, init_info: {'port': 40301}...
[2023-09-12 15:15:34,230][62265] Initializing env for player 7, init_info: {'port': 40501}...
[2023-09-12 15:15:34,255][62309] Initializing env for player 5, init_info: {'port': 41001}...
[2023-09-12 15:15:34,255][62267] Initializing env for player 7, init_info: {'port': 40701}...
[2023-09-12 15:15:34,275][62262] Initializing env for player 5, init_info: {'port': 40301}...
[2023-09-12 15:15:34,305][62309] Initializing env for player 6, init_info: {'port': 41001}...
[2023-09-12 15:15:34,356][62309] Initializing env for player 7, init_info: {'port': 41001}...
[2023-09-12 15:15:34,358][62262] Initializing env for player 6, init_info: {'port': 40301}...
[2023-09-12 15:15:34,410][62262] Initializing env for player 7, init_info: {'port': 40301}...
[2023-09-12 15:15:34,943][62307] Initialized w:6 v:0 player:1
[2023-09-12 15:15:34,945][62307] 8 agent workers initialized for env 6!
[2023-09-12 15:15:35,039][62307] Decorrelating experience for 0 frames...
[2023-09-12 15:15:35,111][62307] UDP port 40901 cannot be used [Errno 98] Address already in use
[2023-09-12 15:15:35,111][62307] Port 41901 is available
[2023-09-12 15:15:35,111][62307] Using port 41901
[2023-09-12 15:15:35,115][62307] Initializing env for player 0, init_info: {'port': 41901}...
[2023-09-12 15:15:35,163][62307] Initializing env for player 1, init_info: {'port': 41901}...
[2023-09-12 15:15:35,191][62307] Using port 41901 on host...
[2023-09-12 15:15:35,215][62307] Initializing env for player 2, init_info: {'port': 41901}...
[2023-09-12 15:15:35,271][62307] Initializing env for player 3, init_info: {'port': 41901}...
[2023-09-12 15:15:35,319][62307] Initializing env for player 4, init_info: {'port': 41901}...
[2023-09-12 15:15:35,395][62307] Initializing env for player 5, init_info: {'port': 41901}...
[2023-09-12 15:15:35,455][62307] Initializing env for player 6, init_info: {'port': 41901}...
[2023-09-12 15:15:35,499][62307] Initializing env for player 7, init_info: {'port': 41901}...
[2023-09-12 15:15:35,555][62305] Initialized w:3 v:0 player:4
[2023-09-12 15:15:35,559][62305] Initialized w:3 v:0 player:6
[2023-09-12 15:15:35,559][62305] Initialized w:3 v:0 player:2
[2023-09-12 15:15:35,559][62305] Initialized w:3 v:0 player:5
[2023-09-12 15:15:35,559][62305] Initialized w:3 v:0 player:0
[2023-09-12 15:15:35,560][62305] Initialized w:3 v:0 player:1
[2023-09-12 15:15:35,560][62305] Initialized w:3 v:0 player:7
[2023-09-12 15:15:35,560][62305] Initialized w:3 v:0 player:3
[2023-09-12 15:15:35,564][62305] 8 agent workers initialized for env 3!
[2023-09-12 15:15:35,625][62305] Decorrelating experience for 0 frames...
[2023-09-12 15:15:35,626][62305] Port 40601 is available
[2023-09-12 15:15:35,626][62305] Using port 40601
[2023-09-12 15:15:35,627][62305] Initializing env for player 0, init_info: {'port': 40601}...
[2023-09-12 15:15:35,665][62305] Using port 40601 on host...
[2023-09-12 15:15:35,677][62305] Initializing env for player 1, init_info: {'port': 40601}...
[2023-09-12 15:15:35,728][62305] Initializing env for player 2, init_info: {'port': 40601}...
[2023-09-12 15:15:35,778][62305] Initializing env for player 3, init_info: {'port': 40601}...
[2023-09-12 15:15:35,839][62305] Initializing env for player 4, init_info: {'port': 40601}...
[2023-09-12 15:15:35,906][62305] Initializing env for player 5, init_info: {'port': 40601}...
[2023-09-12 15:15:35,911][62266] Initialized w:1 v:1 player:7
[2023-09-12 15:15:35,912][62266] Initialized w:1 v:1 player:3
[2023-09-12 15:15:35,914][62266] Initialized w:1 v:1 player:6
[2023-09-12 15:15:35,914][62266] Initialized w:1 v:1 player:0
[2023-09-12 15:15:35,915][62308] Initialized w:5 v:1 player:5
[2023-09-12 15:15:35,914][62266] Initialized w:1 v:1 player:5
[2023-09-12 15:15:35,916][62308] Initialized w:5 v:1 player:4
[2023-09-12 15:15:35,915][62266] Initialized w:1 v:1 player:1
[2023-09-12 15:15:35,915][62266] Initialized w:1 v:1 player:4
[2023-09-12 15:15:35,916][62266] Initialized w:1 v:1 player:2
[2023-09-12 15:15:35,916][62308] Initialized w:5 v:1 player:1
[2023-09-12 15:15:35,917][62308] Initialized w:5 v:1 player:3
[2023-09-12 15:15:35,917][62308] Initialized w:5 v:1 player:0
[2023-09-12 15:15:35,918][62308] Initialized w:5 v:1 player:6
[2023-09-12 15:15:35,918][62266] 8 agent workers initialized for env 1!
[2023-09-12 15:15:35,917][62308] Initialized w:5 v:1 player:7
[2023-09-12 15:15:35,920][62308] Initialized w:5 v:1 player:2
[2023-09-12 15:15:35,920][62308] 8 agent workers initialized for env 5!
[2023-09-12 15:15:35,952][62305] Initializing env for player 6, init_info: {'port': 40601}...
[2023-09-12 15:15:35,967][62266] Decorrelating experience for 32 frames...
[2023-09-12 15:15:35,969][62308] Decorrelating experience for 32 frames...
[2023-09-12 15:15:35,991][62265] Initialized w:2 v:1 player:1
[2023-09-12 15:15:35,991][62265] Initialized w:2 v:1 player:7
[2023-09-12 15:15:35,993][62265] Initialized w:2 v:1 player:6
[2023-09-12 15:15:35,993][62265] Initialized w:2 v:1 player:4
[2023-09-12 15:15:35,993][62265] Initialized w:2 v:1 player:5
[2023-09-12 15:15:35,995][62265] Initialized w:2 v:1 player:2
[2023-09-12 15:15:35,995][62265] Initialized w:2 v:1 player:0
[2023-09-12 15:15:35,996][62265] Initialized w:2 v:1 player:3
[2023-09-12 15:15:35,997][62265] 8 agent workers initialized for env 2!
[2023-09-12 15:15:36,011][62305] Initializing env for player 7, init_info: {'port': 40601}...
[2023-09-12 15:15:36,043][62265] Decorrelating experience for 32 frames...
[2023-09-12 15:15:36,099][62309] Initialized w:7 v:1 player:3
[2023-09-12 15:15:36,101][62309] Initialized w:7 v:1 player:4
[2023-09-12 15:15:36,101][62309] Initialized w:7 v:1 player:5
[2023-09-12 15:15:36,102][62309] Initialized w:7 v:1 player:1
[2023-09-12 15:15:36,103][62309] Initialized w:7 v:1 player:7
[2023-09-12 15:15:36,104][62309] Initialized w:7 v:1 player:2
[2023-09-12 15:15:36,105][62309] Initialized w:7 v:1 player:0
[2023-09-12 15:15:36,105][62309] Initialized w:7 v:1 player:6
[2023-09-12 15:15:36,106][62309] 8 agent workers initialized for env 7!
[2023-09-12 15:15:36,164][62309] Decorrelating experience for 32 frames...
[2023-09-12 15:15:36,282][62262] Initialized w:0 v:1 player:7
[2023-09-12 15:15:36,285][62262] Initialized w:0 v:1 player:1
[2023-09-12 15:15:36,286][62262] Initialized w:0 v:1 player:2
[2023-09-12 15:15:36,286][62262] Initialized w:0 v:1 player:6
[2023-09-12 15:15:36,286][62262] Initialized w:0 v:1 player:4
[2023-09-12 15:15:36,285][62262] Initialized w:0 v:1 player:0
[2023-09-12 15:15:36,286][62262] Initialized w:0 v:1 player:5
[2023-09-12 15:15:36,287][62262] Initialized w:0 v:1 player:3
[2023-09-12 15:15:36,290][62262] 8 agent workers initialized for env 0!
[2023-09-12 15:15:36,310][62267] Initialized w:4 v:1 player:6
[2023-09-12 15:15:36,311][62267] Initialized w:4 v:1 player:1
[2023-09-12 15:15:36,311][62267] Initialized w:4 v:1 player:4
[2023-09-12 15:15:36,316][62267] Initialized w:4 v:1 player:5
[2023-09-12 15:15:36,319][62267] Initialized w:4 v:1 player:3
[2023-09-12 15:15:36,329][62267] Initialized w:4 v:1 player:2
[2023-09-12 15:15:36,320][62267] Initialized w:4 v:1 player:7
[2023-09-12 15:15:36,331][62267] Initialized w:4 v:1 player:0
[2023-09-12 15:15:36,332][62267] 8 agent workers initialized for env 4!
[2023-09-12 15:15:36,365][62262] Decorrelating experience for 32 frames...
[2023-09-12 15:15:36,412][62267] Decorrelating experience for 32 frames...
[2023-09-12 15:15:36,531][62308] Multi agent env, num agents: 8
[2023-09-12 15:15:36,534][62266] Multi agent env, num agents: 8
[2023-09-12 15:15:36,580][62308] Multi agent env, num agents: 8
[2023-09-12 15:15:36,584][62266] Multi agent env, num agents: 8
[2023-09-12 15:15:36,589][62265] Multi agent env, num agents: 8
[2023-09-12 15:15:36,632][62308] Port 40802 is available
[2023-09-12 15:15:36,632][62308] Using port 40802
[2023-09-12 15:15:36,635][62265] Multi agent env, num agents: 8
[2023-09-12 15:15:36,641][62266] Port 40402 is available
[2023-09-12 15:15:36,641][62266] Using port 40402
[2023-09-12 15:15:36,642][62266] Initializing env for player 0, init_info: {'port': 40402}...
[2023-09-12 15:15:36,675][62266] Using port 40402 on host...
[2023-09-12 15:15:36,685][62265] Port 40502 is available
[2023-09-12 15:15:36,685][62265] Using port 40502
[2023-09-12 15:15:36,686][62265] Initializing env for player 0, init_info: {'port': 40502}...
[2023-09-12 15:15:36,695][62266] Initializing env for player 1, init_info: {'port': 40402}...
[2023-09-12 15:15:36,711][62309] Multi agent env, num agents: 8
[2023-09-12 15:15:36,730][62265] Using port 40502 on host...
[2023-09-12 15:15:36,740][62265] Initializing env for player 1, init_info: {'port': 40502}...
[2023-09-12 15:15:36,747][62266] Initializing env for player 2, init_info: {'port': 40402}...
[2023-09-12 15:15:36,752][62309] Multi agent env, num agents: 8
[2023-09-12 15:15:36,796][62309] Port 41002 is available
[2023-09-12 15:15:36,796][62309] Using port 41002
[2023-09-12 15:15:36,797][62309] Initializing env for player 0, init_info: {'port': 41002}...
[2023-09-12 15:15:36,802][62266] Initializing env for player 3, init_info: {'port': 40402}...
[2023-09-12 15:15:36,804][62265] Initializing env for player 2, init_info: {'port': 40502}...
[2023-09-12 15:15:36,832][62309] Using port 41002 on host...
[2023-09-12 15:15:36,847][62309] Initializing env for player 1, init_info: {'port': 41002}...
[2023-09-12 15:15:36,855][62266] Initializing env for player 4, init_info: {'port': 40402}...
[2023-09-12 15:15:36,863][62265] Initializing env for player 3, init_info: {'port': 40502}...
[2023-09-12 15:15:36,892][62262] Multi agent env, num agents: 8
[2023-09-12 15:15:36,901][62309] Initializing env for player 2, init_info: {'port': 41002}...
[2023-09-12 15:15:36,904][62267] Multi agent env, num agents: 8
[2023-09-12 15:15:36,907][62266] Initializing env for player 5, init_info: {'port': 40402}...
[2023-09-12 15:15:36,913][62265] Initializing env for player 4, init_info: {'port': 40502}...
[2023-09-12 15:15:36,928][62262] Multi agent env, num agents: 8
[2023-09-12 15:15:36,934][62267] Multi agent env, num agents: 8
[2023-09-12 15:15:36,955][62309] Initializing env for player 3, init_info: {'port': 41002}...
[2023-09-12 15:15:36,967][62265] Initializing env for player 5, init_info: {'port': 40502}...
[2023-09-12 15:15:37,011][62309] Initializing env for player 4, init_info: {'port': 41002}...
[2023-09-12 15:15:36,975][62266] Initializing env for player 6, init_info: {'port': 40402}...
[2023-09-12 15:15:37,017][62267] Port 40702 is available
[2023-09-12 15:15:37,017][62267] Using port 40702
[2023-09-12 15:15:37,017][62267] Initializing env for player 0, init_info: {'port': 40702}...
[2023-09-12 15:15:37,019][62265] Initializing env for player 6, init_info: {'port': 40502}...
[2023-09-12 15:15:37,043][62266] Initializing env for player 7, init_info: {'port': 40402}...
[2023-09-12 15:15:37,047][62267] Using port 40702 on host...
[2023-09-12 15:15:37,071][62262] Port 40302 is available
[2023-09-12 15:15:37,071][62262] Using port 40302
[2023-09-12 15:15:37,071][62267] Initializing env for player 1, init_info: {'port': 40702}...
[2023-09-12 15:15:37,072][62262] Initializing env for player 0, init_info: {'port': 40302}...
[2023-09-12 15:15:37,076][62309] Initializing env for player 5, init_info: {'port': 41002}...
[2023-09-12 15:15:37,105][62262] Using port 40302 on host...
[2023-09-12 15:15:37,111][62307] Initialized w:6 v:1 player:5
[2023-09-12 15:15:37,113][62307] Initialized w:6 v:1 player:2
[2023-09-12 15:15:37,114][62307] Initialized w:6 v:1 player:1
[2023-09-12 15:15:37,115][62307] Initialized w:6 v:1 player:4
[2023-09-12 15:15:37,115][62307] Initialized w:6 v:1 player:3
[2023-09-12 15:15:37,116][62307] Initialized w:6 v:1 player:7
[2023-09-12 15:15:37,119][62307] Initialized w:6 v:1 player:6
[2023-09-12 15:15:37,119][62307] Initialized w:6 v:1 player:0
[2023-09-12 15:15:37,121][62307] 8 agent workers initialized for env 6!
[2023-09-12 15:15:37,123][62267] Initializing env for player 2, init_info: {'port': 40702}...
[2023-09-12 15:15:37,122][62262] Initializing env for player 1, init_info: {'port': 40302}...
[2023-09-12 15:15:37,127][62309] Initializing env for player 6, init_info: {'port': 41002}...
[2023-09-12 15:15:37,151][62265] Initializing env for player 7, init_info: {'port': 40502}...
[2023-09-12 15:15:37,172][62262] Initializing env for player 2, init_info: {'port': 40302}...
[2023-09-12 15:15:37,178][62309] Initializing env for player 7, init_info: {'port': 41002}...
[2023-09-12 15:15:37,191][62267] Initializing env for player 3, init_info: {'port': 40702}...
[2023-09-12 15:15:37,205][62307] Decorrelating experience for 32 frames...
[2023-09-12 15:15:37,227][62262] Initializing env for player 3, init_info: {'port': 40302}...
[2023-09-12 15:15:37,259][62267] Initializing env for player 4, init_info: {'port': 40702}...
[2023-09-12 15:15:37,279][62262] Initializing env for player 4, init_info: {'port': 40302}...
[2023-09-12 15:15:37,307][62267] Initializing env for player 5, init_info: {'port': 40702}...
[2023-09-12 15:15:37,329][62262] Initializing env for player 5, init_info: {'port': 40302}...
[2023-09-12 15:15:37,363][62267] Initializing env for player 6, init_info: {'port': 40702}...
[2023-09-12 15:15:37,383][62262] Initializing env for player 6, init_info: {'port': 40302}...
[2023-09-12 15:15:37,397][62305] Initialized w:3 v:1 player:7
[2023-09-12 15:15:37,400][62305] Initialized w:3 v:1 player:6
[2023-09-12 15:15:37,400][62305] Initialized w:3 v:1 player:4
[2023-09-12 15:15:37,402][62305] Initialized w:3 v:1 player:2
[2023-09-12 15:15:37,406][62305] Initialized w:3 v:1 player:1
[2023-09-12 15:15:37,408][62305] Initialized w:3 v:1 player:0
[2023-09-12 15:15:37,410][62305] Initialized w:3 v:1 player:3
[2023-09-12 15:15:37,415][62267] Initializing env for player 7, init_info: {'port': 40702}...
[2023-09-12 15:15:37,424][62305] Initialized w:3 v:1 player:5
[2023-09-12 15:15:37,426][62305] 8 agent workers initialized for env 3!
[2023-09-12 15:15:37,439][62262] Initializing env for player 7, init_info: {'port': 40302}...
[2023-09-12 15:15:37,453][62308] Initializing env for player 0, init_info: {'port': 40802}...
[2023-09-12 15:15:37,504][62308] Initializing env for player 1, init_info: {'port': 40802}...
[2023-09-12 15:15:37,526][62305] Decorrelating experience for 32 frames...
[2023-09-12 15:15:37,555][62308] Using port 40802 on host...
[2023-09-12 15:15:37,556][62308] Initializing env for player 2, init_info: {'port': 40802}...
[2023-09-12 15:15:37,611][62308] Initializing env for player 3, init_info: {'port': 40802}...
[2023-09-12 15:15:37,664][62308] Initializing env for player 4, init_info: {'port': 40802}...
[2023-09-12 15:15:37,715][62308] Initializing env for player 5, init_info: {'port': 40802}...
[2023-09-12 15:15:37,819][62308] Initializing env for player 6, init_info: {'port': 40802}...
[2023-09-12 15:15:37,851][62308] Initializing env for player 7, init_info: {'port': 40802}...
[2023-09-12 15:15:38,207][62305] Multi agent env, num agents: 8
[2023-09-12 15:15:38,254][62305] Multi agent env, num agents: 8
[2023-09-12 15:15:38,300][62307] Multi agent env, num agents: 8
[2023-09-12 15:15:38,323][62305] Port 40602 is available
[2023-09-12 15:15:38,323][62305] Using port 40602
[2023-09-12 15:15:38,324][62305] Initializing env for player 0, init_info: {'port': 40602}...
[2023-09-12 15:15:38,355][62307] Multi agent env, num agents: 8
[2023-09-12 15:15:38,368][62305] Using port 40602 on host...
[2023-09-12 15:15:38,380][62305] Initializing env for player 1, init_info: {'port': 40602}...
[2023-09-12 15:15:38,400][62307] Port 40902 is available
[2023-09-12 15:15:38,400][62307] Using port 40902
[2023-09-12 15:15:38,435][62305] Initializing env for player 2, init_info: {'port': 40602}...
[2023-09-12 15:15:38,495][62305] Initializing env for player 3, init_info: {'port': 40602}...
[2023-09-12 15:15:38,552][62305] Initializing env for player 4, init_info: {'port': 40602}...
[2023-09-12 15:15:38,603][62305] Initializing env for player 5, init_info: {'port': 40602}...
[2023-09-12 15:15:38,607][62266] Initialized w:1 v:2 player:2
[2023-09-12 15:15:38,610][62266] Initialized w:1 v:2 player:6
[2023-09-12 15:15:38,611][62266] Initialized w:1 v:2 player:0
[2023-09-12 15:15:38,611][62266] Initialized w:1 v:2 player:4
[2023-09-12 15:15:38,611][62266] Initialized w:1 v:2 player:3
[2023-09-12 15:15:38,612][62266] Initialized w:1 v:2 player:1
[2023-09-12 15:15:38,613][62266] Initialized w:1 v:2 player:5
[2023-09-12 15:15:38,613][62266] Initialized w:1 v:2 player:7
[2023-09-12 15:15:38,616][62266] 8 agent workers initialized for env 1!
[2023-09-12 15:15:38,659][62305] Initializing env for player 6, init_info: {'port': 40602}...
[2023-09-12 15:15:38,678][62266] Decorrelating experience for 64 frames...
[2023-09-12 15:15:38,711][62305] Initializing env for player 7, init_info: {'port': 40602}...
[2023-09-12 15:15:38,722][62309] Initialized w:7 v:2 player:4
[2023-09-12 15:15:38,726][62309] Initialized w:7 v:2 player:7
[2023-09-12 15:15:38,726][62309] Initialized w:7 v:2 player:1
[2023-09-12 15:15:38,726][62309] Initialized w:7 v:2 player:6
[2023-09-12 15:15:38,726][62309] Initialized w:7 v:2 player:3
[2023-09-12 15:15:38,726][62309] Initialized w:7 v:2 player:2
[2023-09-12 15:15:38,727][62309] Initialized w:7 v:2 player:0
[2023-09-12 15:15:38,727][62309] Initialized w:7 v:2 player:5
[2023-09-12 15:15:38,729][62309] 8 agent workers initialized for env 7!
[2023-09-12 15:15:38,779][62309] Decorrelating experience for 64 frames...
[2023-09-12 15:15:38,926][62265] Initialized w:2 v:2 player:2
[2023-09-12 15:15:38,928][62265] Initialized w:2 v:2 player:7
[2023-09-12 15:15:38,928][62265] Initialized w:2 v:2 player:3
[2023-09-12 15:15:38,929][62265] Initialized w:2 v:2 player:1
[2023-09-12 15:15:38,930][62265] Initialized w:2 v:2 player:6
[2023-09-12 15:15:38,930][62265] Initialized w:2 v:2 player:4
[2023-09-12 15:15:38,931][62265] Initialized w:2 v:2 player:0
[2023-09-12 15:15:38,931][62265] Initialized w:2 v:2 player:5
[2023-09-12 15:15:38,933][62265] 8 agent workers initialized for env 2!
[2023-09-12 15:15:38,972][62307] Initializing env for player 0, init_info: {'port': 40902}...
[2023-09-12 15:15:39,007][62265] Decorrelating experience for 64 frames...
[2023-09-12 15:15:39,012][62307] Using port 40902 on host...
[2023-09-12 15:15:39,022][62307] Initializing env for player 1, init_info: {'port': 40902}...
[2023-09-12 15:15:39,087][62307] Initializing env for player 2, init_info: {'port': 40902}...
[2023-09-12 15:15:39,139][62307] Initializing env for player 3, init_info: {'port': 40902}...
[2023-09-12 15:15:39,187][62307] Initializing env for player 4, init_info: {'port': 40902}...
[2023-09-12 15:15:39,229][62267] Initialized w:4 v:2 player:7
[2023-09-12 15:15:39,231][62267] Initialized w:4 v:2 player:3
[2023-09-12 15:15:39,232][62267] Initialized w:4 v:2 player:4
[2023-09-12 15:15:39,233][62267] Initialized w:4 v:2 player:2
[2023-09-12 15:15:39,233][62267] Initialized w:4 v:2 player:5
[2023-09-12 15:15:39,237][62267] Initialized w:4 v:2 player:6
[2023-09-12 15:15:39,239][62267] Initialized w:4 v:2 player:1
[2023-09-12 15:15:39,243][62267] Initialized w:4 v:2 player:0
[2023-09-12 15:15:39,244][62267] 8 agent workers initialized for env 4!
[2023-09-12 15:15:39,243][62307] Initializing env for player 5, init_info: {'port': 40902}...
[2023-09-12 15:15:39,299][62307] Initializing env for player 6, init_info: {'port': 40902}...
[2023-09-12 15:15:39,375][62307] Initializing env for player 7, init_info: {'port': 40902}...
[2023-09-12 15:15:39,392][62308] Initialized w:5 v:2 player:2
[2023-09-12 15:15:39,392][62308] Initialized w:5 v:2 player:3
[2023-09-12 15:15:39,395][62267] Decorrelating experience for 64 frames...
[2023-09-12 15:15:39,395][62308] Initialized w:5 v:2 player:6
[2023-09-12 15:15:39,395][62308] Initialized w:5 v:2 player:0
[2023-09-12 15:15:39,396][62308] Initialized w:5 v:2 player:7
[2023-09-12 15:15:39,396][62308] Initialized w:5 v:2 player:5
[2023-09-12 15:15:39,397][62308] Initialized w:5 v:2 player:1
[2023-09-12 15:15:39,397][62308] Initialized w:5 v:2 player:4
[2023-09-12 15:15:39,400][62308] 8 agent workers initialized for env 5!
[2023-09-12 15:15:39,434][62262] Initialized w:0 v:2 player:2
[2023-09-12 15:15:39,435][62262] Initialized w:0 v:2 player:1
[2023-09-12 15:15:39,436][62262] Initialized w:0 v:2 player:6
[2023-09-12 15:15:39,436][62262] Initialized w:0 v:2 player:3
[2023-09-12 15:15:39,437][62262] Initialized w:0 v:2 player:0
[2023-09-12 15:15:39,445][62262] Initialized w:0 v:2 player:4
[2023-09-12 15:15:39,445][62262] Initialized w:0 v:2 player:5
[2023-09-12 15:15:39,465][62308] Decorrelating experience for 64 frames...
[2023-09-12 15:15:39,732][62309] Port 41003 is available
[2023-09-12 15:15:39,732][62309] Using port 41003
[2023-09-12 15:15:39,791][62266] Port 40403 is available
[2023-09-12 15:15:39,791][62266] Using port 40403
[2023-09-12 15:15:39,792][62266] Initializing env for player 0, init_info: {'port': 40403}...
[2023-09-12 15:15:39,826][62266] Using port 40403 on host...
[2023-09-12 15:15:39,843][62266] Initializing env for player 1, init_info: {'port': 40403}...
[2023-09-12 15:15:39,896][62266] Initializing env for player 2, init_info: {'port': 40403}...
[2023-09-12 15:15:39,946][62266] Initializing env for player 3, init_info: {'port': 40403}...
[2023-09-12 15:15:40,002][62266] Initializing env for player 4, init_info: {'port': 40403}...
[2023-09-12 15:15:40,023][62265] Port 40503 is available
[2023-09-12 15:15:40,024][62265] Using port 40503
[2023-09-12 15:15:40,059][62266] Initializing env for player 5, init_info: {'port': 40403}...
[2023-09-12 15:15:40,115][62266] Initializing env for player 6, init_info: {'port': 40403}...
[2023-09-12 15:15:40,175][62266] Initializing env for player 7, init_info: {'port': 40403}...
[2023-09-12 15:15:40,208][62305] Initialized w:3 v:2 player:7
[2023-09-12 15:15:40,209][62305] Initialized w:3 v:2 player:1
[2023-09-12 15:15:40,209][62305] Initialized w:3 v:2 player:6
[2023-09-12 15:15:40,210][62305] Initialized w:3 v:2 player:4
[2023-09-12 15:15:40,210][62305] Initialized w:3 v:2 player:0
[2023-09-12 15:15:40,210][62305] Initialized w:3 v:2 player:5
[2023-09-12 15:15:40,213][62305] Initialized w:3 v:2 player:2
[2023-09-12 15:15:40,424][62308] Port 40803 is available
[2023-09-12 15:15:40,424][62308] Using port 40803
[2023-09-12 15:15:40,434][62262] Initialized w:0 v:2 player:7
[2023-09-12 15:15:40,435][62262] 8 agent workers initialized for env 0!
[2023-09-12 15:15:40,475][62308] Initializing env for player 0, init_info: {'port': 40803}...
[2023-09-12 15:15:40,505][62262] Decorrelating experience for 64 frames...
[2023-09-12 15:15:40,520][62308] Using port 40803 on host...
[2023-09-12 15:15:40,532][62308] Initializing env for player 1, init_info: {'port': 40803}...
[2023-09-12 15:15:40,591][62308] Initializing env for player 2, init_info: {'port': 40803}...
[2023-09-12 15:15:40,647][62308] Initializing env for player 3, init_info: {'port': 40803}...
[2023-09-12 15:15:40,659][62267] UDP port 40703 cannot be used [Errno 98] Address already in use
[2023-09-12 15:15:40,659][62267] Port 41703 is available
[2023-09-12 15:15:40,660][62267] Using port 41703
[2023-09-12 15:15:40,660][62267] Initializing env for player 0, init_info: {'port': 41703}...
[2023-09-12 15:15:40,696][62267] Using port 41703 on host...
[2023-09-12 15:15:40,699][62308] Initializing env for player 4, init_info: {'port': 40803}...
[2023-09-12 15:15:40,711][62267] Initializing env for player 1, init_info: {'port': 41703}...
[2023-09-12 15:15:40,761][62267] Initializing env for player 2, init_info: {'port': 41703}...
[2023-09-12 15:15:40,767][62308] Initializing env for player 5, init_info: {'port': 40803}...
[2023-09-12 15:15:40,817][62267] Initializing env for player 3, init_info: {'port': 41703}...
[2023-09-12 15:15:40,819][62308] Initializing env for player 6, init_info: {'port': 40803}...
[2023-09-12 15:15:40,867][62308] Initializing env for player 7, init_info: {'port': 40803}...
[2023-09-12 15:15:40,871][62267] Initializing env for player 4, init_info: {'port': 41703}...
[2023-09-12 15:15:40,931][62267] Initializing env for player 5, init_info: {'port': 41703}...
[2023-09-12 15:15:40,995][62267] Initializing env for player 6, init_info: {'port': 41703}...
[2023-09-12 15:15:41,031][62267] Initializing env for player 7, init_info: {'port': 41703}...
[2023-09-12 15:15:41,100][62307] Initialized w:6 v:2 player:7
[2023-09-12 15:15:41,101][62307] Initialized w:6 v:2 player:2
[2023-09-12 15:15:41,102][62307] Initialized w:6 v:2 player:4
[2023-09-12 15:15:41,103][62307] Initialized w:6 v:2 player:6
[2023-09-12 15:15:41,104][62307] Initialized w:6 v:2 player:0
[2023-09-12 15:15:41,104][62307] Initialized w:6 v:2 player:5
[2023-09-12 15:15:41,106][62307] Initialized w:6 v:2 player:3
[2023-09-12 15:15:41,206][62305] Initialized w:3 v:2 player:3
[2023-09-12 15:15:41,208][62305] 8 agent workers initialized for env 3!
[2023-09-12 15:15:41,255][62309] Initializing env for player 0, init_info: {'port': 41003}...
[2023-09-12 15:15:41,299][62309] Using port 41003 on host...
[2023-09-12 15:15:41,310][62309] Initializing env for player 1, init_info: {'port': 41003}...
[2023-09-12 15:15:41,313][62305] Decorrelating experience for 64 frames...
[2023-09-12 15:15:41,369][62309] Initializing env for player 2, init_info: {'port': 41003}...
[2023-09-12 15:15:41,425][62309] Initializing env for player 3, init_info: {'port': 41003}...
[2023-09-12 15:15:41,428][62262] Port 40303 is available
[2023-09-12 15:15:41,429][62262] Using port 40303
[2023-09-12 15:15:41,429][62262] Initializing env for player 0, init_info: {'port': 40303}...
[2023-09-12 15:15:41,474][62262] Using port 40303 on host...
[2023-09-12 15:15:41,486][62262] Initializing env for player 1, init_info: {'port': 40303}...
[2023-09-12 15:15:41,487][62309] Initializing env for player 4, init_info: {'port': 41003}...
[2023-09-12 15:15:41,535][62309] Initializing env for player 5, init_info: {'port': 41003}...
[2023-09-12 15:15:41,544][62262] Initializing env for player 2, init_info: {'port': 40303}...
[2023-09-12 15:15:41,587][62309] Initializing env for player 6, init_info: {'port': 41003}...
[2023-09-12 15:15:41,604][62262] Initializing env for player 3, init_info: {'port': 40303}...
[2023-09-12 15:15:41,638][62309] Initializing env for player 7, init_info: {'port': 41003}...
[2023-09-12 15:15:41,642][62266] Initialized w:1 v:3 player:1
[2023-09-12 15:15:41,643][62266] Initialized w:1 v:3 player:0
[2023-09-12 15:15:41,643][62266] Initialized w:1 v:3 player:2
[2023-09-12 15:15:41,646][62266] Initialized w:1 v:3 player:3
[2023-09-12 15:15:41,646][62266] Initialized w:1 v:3 player:7
[2023-09-12 15:15:41,646][62266] Initialized w:1 v:3 player:4
[2023-09-12 15:15:41,647][62266] Initialized w:1 v:3 player:6
[2023-09-12 15:15:41,648][62266] Initialized w:1 v:3 player:5
[2023-09-12 15:15:41,648][62266] 8 agent workers initialized for env 1!
[2023-09-12 15:15:41,654][62262] Initializing env for player 4, init_info: {'port': 40303}...
[2023-09-12 15:15:41,702][62266] Decorrelating experience for 96 frames...
[2023-09-12 15:15:41,706][62262] Initializing env for player 5, init_info: {'port': 40303}...
[2023-09-12 15:15:41,756][62262] Initializing env for player 6, init_info: {'port': 40303}...
[2023-09-12 15:15:41,827][62262] Initializing env for player 7, init_info: {'port': 40303}...
[2023-09-12 15:15:42,093][62307] Initialized w:6 v:2 player:1
[2023-09-12 15:15:42,095][62307] 8 agent workers initialized for env 6!
[2023-09-12 15:15:42,107][62265] Initializing env for player 0, init_info: {'port': 40503}...
[2023-09-12 15:15:42,142][62308] Initialized w:5 v:3 player:5
[2023-09-12 15:15:42,147][62308] Initialized w:5 v:3 player:3
[2023-09-12 15:15:42,149][62308] Initialized w:5 v:3 player:6
[2023-09-12 15:15:42,149][62308] Initialized w:5 v:3 player:4
[2023-09-12 15:15:42,150][62308] Initialized w:5 v:3 player:7
[2023-09-12 15:15:42,151][62308] Initialized w:5 v:3 player:1
[2023-09-12 15:15:42,152][62308] Initialized w:5 v:3 player:0
[2023-09-12 15:15:42,154][62308] Initialized w:5 v:3 player:2
[2023-09-12 15:15:42,154][62308] 8 agent workers initialized for env 5!
[2023-09-12 15:15:42,162][62265] Initializing env for player 1, init_info: {'port': 40503}...
[2023-09-12 15:15:42,203][62307] Decorrelating experience for 64 frames...
[2023-09-12 15:15:42,207][62265] Initializing env for player 2, init_info: {'port': 40503}...
[2023-09-12 15:15:42,233][62265] Using port 40503 on host...
[2023-09-12 15:15:42,236][62308] Decorrelating experience for 96 frames...
[2023-09-12 15:15:42,263][62265] Initializing env for player 3, init_info: {'port': 40503}...
[2023-09-12 15:15:42,277][62305] Port 40603 is available
[2023-09-12 15:15:42,277][62305] Using port 40603
[2023-09-12 15:15:42,278][62305] Initializing env for player 0, init_info: {'port': 40603}...
[2023-09-12 15:15:42,315][62305] Using port 40603 on host...
[2023-09-12 15:15:42,329][62305] Initializing env for player 1, init_info: {'port': 40603}...
[2023-09-12 15:15:42,323][62265] Initializing env for player 4, init_info: {'port': 40503}...
[2023-09-12 15:15:42,379][62305] Initializing env for player 2, init_info: {'port': 40603}...
[2023-09-12 15:15:42,384][62265] Initializing env for player 5, init_info: {'port': 40503}...
[2023-09-12 15:15:42,423][62265] Initializing env for player 6, init_info: {'port': 40503}...
[2023-09-12 15:15:42,431][62305] Initializing env for player 3, init_info: {'port': 40603}...
[2023-09-12 15:15:42,491][62305] Initializing env for player 4, init_info: {'port': 40603}...
[2023-09-12 15:15:42,511][62265] Initializing env for player 7, init_info: {'port': 40503}...
[2023-09-12 15:15:42,540][62305] Initializing env for player 5, init_info: {'port': 40603}...
[2023-09-12 15:15:42,591][62305] Initializing env for player 6, init_info: {'port': 40603}...
[2023-09-12 15:15:42,643][62305] Initializing env for player 7, init_info: {'port': 40603}...
[2023-09-12 15:15:42,767][62267] Initialized w:4 v:3 player:0
[2023-09-12 15:15:42,768][62267] Initialized w:4 v:3 player:1
[2023-09-12 15:15:42,768][62267] Initialized w:4 v:3 player:2
[2023-09-12 15:15:42,768][62267] Initialized w:4 v:3 player:7
[2023-09-12 15:15:42,768][62267] Initialized w:4 v:3 player:5
[2023-09-12 15:15:42,768][62267] Initialized w:4 v:3 player:6
[2023-09-12 15:15:42,767][62267] Initialized w:4 v:3 player:4
[2023-09-12 15:15:42,769][62267] Initialized w:4 v:3 player:3
[2023-09-12 15:15:42,771][62267] 8 agent workers initialized for env 4!
[2023-09-12 15:15:42,827][62267] Decorrelating experience for 96 frames...
[2023-09-12 15:15:43,051][62309] Initialized w:7 v:3 player:5
[2023-09-12 15:15:43,052][62309] Initialized w:7 v:3 player:1
[2023-09-12 15:15:43,053][62309] Initialized w:7 v:3 player:7
[2023-09-12 15:15:43,057][62309] Initialized w:7 v:3 player:0
[2023-09-12 15:15:43,057][62309] Initialized w:7 v:3 player:2
[2023-09-12 15:15:43,059][62309] Initialized w:7 v:3 player:3
[2023-09-12 15:15:43,060][62309] Initialized w:7 v:3 player:6
[2023-09-12 15:15:43,061][62309] Initialized w:7 v:3 player:4
[2023-09-12 15:15:43,062][62309] 8 agent workers initialized for env 7!
[2023-09-12 15:15:43,150][62309] Decorrelating experience for 96 frames...
[2023-09-12 15:15:43,315][62262] Initialized w:0 v:3 player:4
[2023-09-12 15:15:43,317][62262] Initialized w:0 v:3 player:6
[2023-09-12 15:15:43,317][62262] Initialized w:0 v:3 player:3
[2023-09-12 15:15:43,317][62262] Initialized w:0 v:3 player:1
[2023-09-12 15:15:43,318][62262] Initialized w:0 v:3 player:5
[2023-09-12 15:15:43,318][62262] Initialized w:0 v:3 player:7
[2023-09-12 15:15:43,319][62262] Initialized w:0 v:3 player:0
[2023-09-12 15:15:43,321][62262] Initialized w:0 v:3 player:2
[2023-09-12 15:15:43,321][62262] 8 agent workers initialized for env 0!
[2023-09-12 15:15:43,384][62262] Decorrelating experience for 96 frames...
[2023-09-12 15:15:43,790][62307] Port 40903 is available
[2023-09-12 15:15:43,790][62307] Using port 40903
[2023-09-12 15:15:43,791][62307] Initializing env for player 0, init_info: {'port': 40903}...
[2023-09-12 15:15:43,823][62307] Using port 40903 on host...
[2023-09-12 15:15:43,843][62307] Initializing env for player 1, init_info: {'port': 40903}...
[2023-09-12 15:15:43,892][62307] Initializing env for player 2, init_info: {'port': 40903}...
[2023-09-12 15:15:43,951][62307] Initializing env for player 3, init_info: {'port': 40903}...
[2023-09-12 15:15:43,999][62307] Initializing env for player 4, init_info: {'port': 40903}...
[2023-09-12 15:15:44,048][62265] Initialized w:2 v:3 player:3
[2023-09-12 15:15:44,052][62265] Initialized w:2 v:3 player:1
[2023-09-12 15:15:44,053][62265] Initialized w:2 v:3 player:5
[2023-09-12 15:15:44,053][62265] Initialized w:2 v:3 player:4
[2023-09-12 15:15:44,053][62265] Initialized w:2 v:3 player:2
[2023-09-12 15:15:44,053][62265] Initialized w:2 v:3 player:6
[2023-09-12 15:15:44,054][62265] Initialized w:2 v:3 player:0
[2023-09-12 15:15:44,054][62265] Initialized w:2 v:3 player:7
[2023-09-12 15:15:44,057][62265] 8 agent workers initialized for env 2!
[2023-09-12 15:15:44,062][62305] Initialized w:3 v:3 player:0
[2023-09-12 15:15:44,065][62305] Initialized w:3 v:3 player:5
[2023-09-12 15:15:44,066][62305] Initialized w:3 v:3 player:4
[2023-09-12 15:15:44,067][62305] Initialized w:3 v:3 player:3
[2023-09-12 15:15:44,068][62305] Initialized w:3 v:3 player:7
[2023-09-12 15:15:44,068][62305] Initialized w:3 v:3 player:2
[2023-09-12 15:15:44,070][62305] Initialized w:3 v:3 player:6
[2023-09-12 15:15:44,070][62305] Initialized w:3 v:3 player:1
[2023-09-12 15:15:44,071][62305] 8 agent workers initialized for env 3!
[2023-09-12 15:15:44,071][62307] Initializing env for player 5, init_info: {'port': 40903}...
[2023-09-12 15:15:44,123][62307] Initializing env for player 6, init_info: {'port': 40903}...
[2023-09-12 15:15:44,140][62265] Decorrelating experience for 96 frames...
[2023-09-12 15:15:44,148][62305] Decorrelating experience for 96 frames...
[2023-09-12 15:15:44,191][62307] Initializing env for player 7, init_info: {'port': 40903}...
[2023-09-12 15:15:46,090][62307] Initialized w:6 v:3 player:7
[2023-09-12 15:15:46,091][62307] Initialized w:6 v:3 player:0
[2023-09-12 15:15:46,092][62307] Initialized w:6 v:3 player:5
[2023-09-12 15:15:46,093][62307] Initialized w:6 v:3 player:4
[2023-09-12 15:15:46,095][62307] Initialized w:6 v:3 player:6
[2023-09-12 15:15:46,096][62307] Initialized w:6 v:3 player:3
[2023-09-12 15:15:46,097][62307] Initialized w:6 v:3 player:2
[2023-09-12 15:15:46,099][62307] Initialized w:6 v:3 player:1
[2023-09-12 15:15:46,100][62307] 8 agent workers initialized for env 6!
[2023-09-12 15:15:46,175][62307] Decorrelating experience for 96 frames...
[2023-09-12 15:15:46,381][62109] Signal inference workers to stop experience collection...
[2023-09-12 15:15:46,403][62259] InferenceWorker_p0-w0: stopping experience collection
[2023-09-12 15:15:47,468][62109] EvtLoop [learner_proc0_evt_loop, process=learner_proc0] unhandled exception in slot='on_new_training_batch' connected to emitter=Emitter(object_id='Batcher_0', signal_name='training_batches_available'), args=(0,)
Traceback (most recent call last):
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/signal_slot/signal_slot.py", line 355, in _process_signal
slot_callable(*args)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/learning/learner_worker.py", line 150, in on_new_training_batch
stats = self.learner.train(self.batcher.training_batches[batch_idx])
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/learning/learner.py", line 1046, in train
train_stats = self._train(buff, self.cfg.batch_size, experience_size, num_invalids)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/learning/learner.py", line 731, in _train
) = self._calculate_losses(mb, num_invalids)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/learning/learner.py", line 649, in _calculate_losses
exploration_loss = self.exploration_loss_func(action_distribution, valids, num_invalids)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/learning/learner.py", line 477, in _symmetric_kl_exploration_loss
kl_prior = action_distribution.symmetric_kl_with_uniform_prior()
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/action_distributions.py", line 247, in symmetric_kl_with_uniform_prior
sym_kls = [d.symmetric_kl_with_uniform_prior().unsqueeze(dim=1) for d in self.distributions]
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/action_distributions.py", line 247, in <listcomp>
sym_kls = [d.symmetric_kl_with_uniform_prior().unsqueeze(dim=1) for d in self.distributions]
AttributeError: 'ContinuousActionDistribution' object has no attribute 'symmetric_kl_with_uniform_prior'
[2023-09-12 15:15:47,468][62109] Unhandled exception 'ContinuousActionDistribution' object has no attribute 'symmetric_kl_with_uniform_prior' in evt loop learner_proc0_evt_loop
[2023-09-12 15:16:41,871][62109] Stopping Batcher_0...
[2023-09-12 15:16:41,871][62109] Loop batcher_evt_loop terminating...
[2023-09-12 15:16:41,886][62259] Weights refcount: 2 0
[2023-09-12 15:16:41,887][62259] Stopping InferenceWorker_p0-w0...
[2023-09-12 15:16:41,887][62259] Loop inference_proc0-0_evt_loop terminating...
[2023-09-12 15:16:45,092][62262] Stopping RolloutWorker_w0...
[2023-09-12 15:16:45,093][62262] Loop rollout_proc0_evt_loop terminating...
[2023-09-12 15:16:45,095][62309] Stopping RolloutWorker_w7...
[2023-09-12 15:16:45,095][62309] Loop rollout_proc7_evt_loop terminating...
[2023-09-12 15:16:45,095][62305] Stopping RolloutWorker_w3...
[2023-09-12 15:16:45,096][62308] Stopping RolloutWorker_w5...
[2023-09-12 15:16:45,096][62266] Stopping RolloutWorker_w1...
[2023-09-12 15:16:45,096][62305] Loop rollout_proc3_evt_loop terminating...
[2023-09-12 15:16:45,096][62308] Loop rollout_proc5_evt_loop terminating...
[2023-09-12 15:16:45,096][62266] Loop rollout_proc1_evt_loop terminating...
[2023-09-12 15:16:45,099][62267] Stopping RolloutWorker_w4...
[2023-09-12 15:16:45,099][62265] Stopping RolloutWorker_w2...
[2023-09-12 15:16:45,099][62267] Loop rollout_proc4_evt_loop terminating...
[2023-09-12 15:16:45,099][62265] Loop rollout_proc2_evt_loop terminating...
[2023-09-12 15:16:45,100][62307] Stopping RolloutWorker_w6...
[2023-09-12 15:16:45,101][62307] Loop rollout_proc6_evt_loop terminating...
[2023-09-12 15:16:53,596][70316] Using GPUs [0] for process 0 (actually maps to GPUs [0])
[2023-09-12 15:16:53,597][70316] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for learning process 0
[2023-09-12 15:16:53,634][70316] Num visible devices: 1
[2023-09-12 15:16:53,676][70316] Starting seed is not provided
[2023-09-12 15:16:53,676][70316] Using GPUs [0] for process 0 (actually maps to GPUs [0])
[2023-09-12 15:16:53,676][70316] Initializing actor-critic model on device cuda:0
[2023-09-12 15:16:53,677][70316] RunningMeanStd input shape: (3, 72, 128)
[2023-09-12 15:16:53,678][70316] RunningMeanStd input shape: (1,)
[2023-09-12 15:16:53,697][70316] ConvEncoder: input_channels=3
[2023-09-12 15:16:53,957][70316] Conv encoder output size: 512
[2023-09-12 15:16:53,957][70316] Policy head output size: 512
[2023-09-12 15:16:53,980][70316] Created Actor Critic model with architecture:
[2023-09-12 15:16:53,981][70316] ActorCriticSharedWeights(
(obs_normalizer): ObservationNormalizer(
(running_mean_std): RunningMeanStdDictInPlace(
(running_mean_std): ModuleDict(
(obs): RunningMeanStdInPlace()
)
)
)
(returns_normalizer): RecursiveScriptModule(original_name=RunningMeanStdInPlace)
(encoder): VizdoomEncoder(
(basic_encoder): ConvEncoder(
(enc): RecursiveScriptModule(
original_name=ConvEncoderImpl
(conv_head): RecursiveScriptModule(
original_name=Sequential
(0): RecursiveScriptModule(original_name=Conv2d)
(1): RecursiveScriptModule(original_name=ELU)
(2): RecursiveScriptModule(original_name=Conv2d)
(3): RecursiveScriptModule(original_name=ELU)
(4): RecursiveScriptModule(original_name=Conv2d)
(5): RecursiveScriptModule(original_name=ELU)
)
(mlp_layers): RecursiveScriptModule(
original_name=Sequential
(0): RecursiveScriptModule(original_name=Linear)
(1): RecursiveScriptModule(original_name=ELU)
)
)
)
)
(core): ModelCoreRNN(
(core): GRU(512, 512)
)
(decoder): MlpDecoder(
(mlp): Identity()
)
(critic_linear): Linear(in_features=512, out_features=1, bias=True)
(action_parameterization): ActionParameterizationDefault(
(distribution_linear): Linear(in_features=512, out_features=6, bias=True)
)
)
[2023-09-12 15:16:55,332][70316] Using optimizer <class 'torch.optim.adam.Adam'>
[2023-09-12 15:16:55,333][70316] No checkpoints found
[2023-09-12 15:16:55,333][70316] Did not load from checkpoint, starting from scratch!
[2023-09-12 15:16:55,333][70316] Initialized policy 0 weights for model version 0
[2023-09-12 15:16:55,335][70316] LearnerWorker_p0 finished initialization!
[2023-09-12 15:16:55,336][70316] Using GPUs [0] for process 0 (actually maps to GPUs [0])
[2023-09-12 15:16:55,641][70392] Worker 2 uses CPU cores [8, 9, 10, 11]
[2023-09-12 15:16:55,677][70433] Worker 7 uses CPU cores [28, 29, 30, 31]
[2023-09-12 15:16:55,747][70390] Worker 0 uses CPU cores [0, 1, 2, 3]
[2023-09-12 15:16:55,890][70429] Worker 4 uses CPU cores [16, 17, 18, 19]
[2023-09-12 15:16:55,902][70388] Worker 1 uses CPU cores [4, 5, 6, 7]
[2023-09-12 15:16:55,993][70389] Using GPUs [0] for process 0 (actually maps to GPUs [0])
[2023-09-12 15:16:55,993][70389] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for inference process 0
[2023-09-12 15:16:56,011][70389] Num visible devices: 1
[2023-09-12 15:16:56,012][70391] Worker 3 uses CPU cores [12, 13, 14, 15]
[2023-09-12 15:16:56,013][70434] Worker 6 uses CPU cores [24, 25, 26, 27]
[2023-09-12 15:16:56,043][70393] Worker 5 uses CPU cores [20, 21, 22, 23]
[2023-09-12 15:16:56,646][70389] RunningMeanStd input shape: (3, 72, 128)
[2023-09-12 15:16:56,646][70389] RunningMeanStd input shape: (1,)
[2023-09-12 15:16:56,658][70389] ConvEncoder: input_channels=3
[2023-09-12 15:16:56,759][70389] Conv encoder output size: 512
[2023-09-12 15:16:56,759][70389] Policy head output size: 512
[2023-09-12 15:16:57,100][70429] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:16:57,100][70433] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:16:57,100][70393] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:16:57,100][70391] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:16:57,100][70434] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:16:57,113][70390] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:16:57,113][70392] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:16:57,113][70388] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:16:57,452][70390] Decorrelating experience for 0 frames...
[2023-09-12 15:16:57,453][70429] Decorrelating experience for 0 frames...
[2023-09-12 15:16:57,453][70391] Decorrelating experience for 0 frames...
[2023-09-12 15:16:57,456][70434] Decorrelating experience for 0 frames...
[2023-09-12 15:16:57,457][70433] Decorrelating experience for 0 frames...
[2023-09-12 15:16:57,551][70388] Decorrelating experience for 0 frames...
[2023-09-12 15:16:57,569][70392] Decorrelating experience for 0 frames...
[2023-09-12 15:16:57,725][70434] Decorrelating experience for 32 frames...
[2023-09-12 15:16:57,733][70429] Decorrelating experience for 32 frames...
[2023-09-12 15:16:57,804][70391] Decorrelating experience for 32 frames...
[2023-09-12 15:16:57,816][70433] Decorrelating experience for 32 frames...
[2023-09-12 15:16:57,885][70393] Decorrelating experience for 0 frames...
[2023-09-12 15:16:57,921][70390] Decorrelating experience for 32 frames...
[2023-09-12 15:16:57,943][70388] Decorrelating experience for 32 frames...
[2023-09-12 15:16:58,147][70429] Decorrelating experience for 64 frames...
[2023-09-12 15:16:58,154][70434] Decorrelating experience for 64 frames...
[2023-09-12 15:16:58,186][70392] Decorrelating experience for 32 frames...
[2023-09-12 15:16:58,256][70391] Decorrelating experience for 64 frames...
[2023-09-12 15:16:58,272][70393] Decorrelating experience for 32 frames...
[2023-09-12 15:16:58,492][70433] Decorrelating experience for 64 frames...
[2023-09-12 15:16:58,496][70390] Decorrelating experience for 64 frames...
[2023-09-12 15:16:58,505][70434] Decorrelating experience for 96 frames...
[2023-09-12 15:16:58,514][70429] Decorrelating experience for 96 frames...
[2023-09-12 15:16:58,562][70388] Decorrelating experience for 64 frames...
[2023-09-12 15:16:58,633][70393] Decorrelating experience for 64 frames...
[2023-09-12 15:16:58,642][70392] Decorrelating experience for 64 frames...
[2023-09-12 15:16:58,778][70391] Decorrelating experience for 96 frames...
[2023-09-12 15:16:58,883][70390] Decorrelating experience for 96 frames...
[2023-09-12 15:16:58,930][70433] Decorrelating experience for 96 frames...
[2023-09-12 15:16:58,944][70388] Decorrelating experience for 96 frames...
[2023-09-12 15:16:59,248][70393] Decorrelating experience for 96 frames...
[2023-09-12 15:16:59,257][70392] Decorrelating experience for 96 frames...
[2023-09-12 15:16:59,588][70316] Signal inference workers to stop experience collection...
[2023-09-12 15:16:59,595][70389] InferenceWorker_p0-w0: stopping experience collection
[2023-09-12 15:17:03,152][70316] Signal inference workers to resume experience collection...
[2023-09-12 15:17:03,153][70389] InferenceWorker_p0-w0: resuming experience collection
[2023-09-12 15:17:06,236][70389] Updated weights for policy 0, policy_version 10 (0.0372)
[2023-09-12 15:17:09,721][70389] Updated weights for policy 0, policy_version 20 (0.0010)
[2023-09-12 15:17:13,010][70389] Updated weights for policy 0, policy_version 30 (0.0008)
[2023-09-12 15:17:13,837][70316] Saving new best policy, reward=-0.093!
[2023-09-12 15:17:16,293][70389] Updated weights for policy 0, policy_version 40 (0.0008)
[2023-09-12 15:17:19,631][70389] Updated weights for policy 0, policy_version 50 (0.0010)
[2023-09-12 15:17:22,990][70389] Updated weights for policy 0, policy_version 60 (0.0008)
[2023-09-12 15:17:26,391][70389] Updated weights for policy 0, policy_version 70 (0.0009)
[2023-09-12 15:17:29,824][70389] Updated weights for policy 0, policy_version 80 (0.0009)
[2023-09-12 15:17:33,210][70389] Updated weights for policy 0, policy_version 90 (0.0010)
[2023-09-12 15:17:36,615][70389] Updated weights for policy 0, policy_version 100 (0.0009)
[2023-09-12 15:17:39,951][70389] Updated weights for policy 0, policy_version 110 (0.0008)
[2023-09-12 15:17:43,320][70389] Updated weights for policy 0, policy_version 120 (0.0008)
[2023-09-12 15:17:46,635][70389] Updated weights for policy 0, policy_version 130 (0.0008)
[2023-09-12 15:17:49,928][70389] Updated weights for policy 0, policy_version 140 (0.0009)
[2023-09-12 15:17:53,332][70389] Updated weights for policy 0, policy_version 150 (0.0009)
[2023-09-12 15:17:56,723][70389] Updated weights for policy 0, policy_version 160 (0.0009)
[2023-09-12 15:18:00,055][70389] Updated weights for policy 0, policy_version 170 (0.0009)
[2023-09-12 15:18:03,491][70389] Updated weights for policy 0, policy_version 180 (0.0009)
[2023-09-12 15:18:06,829][70389] Updated weights for policy 0, policy_version 190 (0.0009)
[2023-09-12 15:18:10,117][70389] Updated weights for policy 0, policy_version 200 (0.0009)
[2023-09-12 15:18:13,417][70389] Updated weights for policy 0, policy_version 210 (0.0009)
[2023-09-12 15:18:16,810][70389] Updated weights for policy 0, policy_version 220 (0.0009)
[2023-09-12 15:18:20,056][70389] Updated weights for policy 0, policy_version 230 (0.0009)
[2023-09-12 15:18:23,368][70389] Updated weights for policy 0, policy_version 240 (0.0008)
[2023-09-12 15:18:26,799][70389] Updated weights for policy 0, policy_version 250 (0.0009)
[2023-09-12 15:18:30,175][70389] Updated weights for policy 0, policy_version 260 (0.0009)
[2023-09-12 15:18:33,623][70389] Updated weights for policy 0, policy_version 270 (0.0009)
[2023-09-12 15:18:36,997][70389] Updated weights for policy 0, policy_version 280 (0.0008)
[2023-09-12 15:18:40,229][70389] Updated weights for policy 0, policy_version 290 (0.0009)
[2023-09-12 15:18:43,508][70389] Updated weights for policy 0, policy_version 300 (0.0009)
[2023-09-12 15:18:46,848][70389] Updated weights for policy 0, policy_version 310 (0.0008)
[2023-09-12 15:18:48,845][70316] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000000316_1294336.pth...
[2023-09-12 15:18:50,168][70389] Updated weights for policy 0, policy_version 320 (0.0009)
[2023-09-12 15:18:53,571][70389] Updated weights for policy 0, policy_version 330 (0.0009)
[2023-09-12 15:18:56,786][70389] Updated weights for policy 0, policy_version 340 (0.0008)
[2023-09-12 15:19:00,215][70389] Updated weights for policy 0, policy_version 350 (0.0009)
[2023-09-12 15:19:03,591][70389] Updated weights for policy 0, policy_version 360 (0.0008)
[2023-09-12 15:19:06,873][70389] Updated weights for policy 0, policy_version 370 (0.0008)
[2023-09-12 15:19:10,252][70389] Updated weights for policy 0, policy_version 380 (0.0008)
[2023-09-12 15:19:13,694][70389] Updated weights for policy 0, policy_version 390 (0.0021)
[2023-09-12 15:19:17,031][70389] Updated weights for policy 0, policy_version 400 (0.0009)
[2023-09-12 15:19:20,559][70389] Updated weights for policy 0, policy_version 410 (0.0010)
[2023-09-12 15:19:23,948][70389] Updated weights for policy 0, policy_version 420 (0.0008)
[2023-09-12 15:19:27,204][70389] Updated weights for policy 0, policy_version 430 (0.0009)
[2023-09-12 15:19:30,664][70389] Updated weights for policy 0, policy_version 440 (0.0009)
[2023-09-12 15:19:33,991][70389] Updated weights for policy 0, policy_version 450 (0.0009)
[2023-09-12 15:19:37,379][70389] Updated weights for policy 0, policy_version 460 (0.0011)
[2023-09-12 15:19:40,683][70389] Updated weights for policy 0, policy_version 470 (0.0008)
[2023-09-12 15:19:43,994][70389] Updated weights for policy 0, policy_version 480 (0.0008)
[2023-09-12 15:19:47,395][70389] Updated weights for policy 0, policy_version 490 (0.0009)
[2023-09-12 15:19:50,641][70389] Updated weights for policy 0, policy_version 500 (0.0008)
[2023-09-12 15:19:53,837][70316] Saving new best policy, reward=-0.087!
[2023-09-12 15:19:54,040][70389] Updated weights for policy 0, policy_version 510 (0.0009)
[2023-09-12 15:19:56,561][70389] Updated weights for policy 0, policy_version 520 (0.0008)
[2023-09-12 15:19:58,841][70316] Saving new best policy, reward=-0.063!
[2023-09-12 15:19:58,994][70389] Updated weights for policy 0, policy_version 530 (0.0008)
[2023-09-12 15:20:01,390][70389] Updated weights for policy 0, policy_version 540 (0.0009)
[2023-09-12 15:20:03,746][70389] Updated weights for policy 0, policy_version 550 (0.0009)
[2023-09-12 15:20:06,201][70389] Updated weights for policy 0, policy_version 560 (0.0009)
[2023-09-12 15:20:08,666][70389] Updated weights for policy 0, policy_version 570 (0.0009)
[2023-09-12 15:20:11,130][70389] Updated weights for policy 0, policy_version 580 (0.0010)
[2023-09-12 15:20:13,584][70389] Updated weights for policy 0, policy_version 590 (0.0008)
[2023-09-12 15:20:15,974][70389] Updated weights for policy 0, policy_version 600 (0.0008)
[2023-09-12 15:20:18,408][70389] Updated weights for policy 0, policy_version 610 (0.0008)
[2023-09-12 15:20:20,863][70389] Updated weights for policy 0, policy_version 620 (0.0009)
[2023-09-12 15:20:23,283][70389] Updated weights for policy 0, policy_version 630 (0.0008)
[2023-09-12 15:20:25,669][70389] Updated weights for policy 0, policy_version 640 (0.0009)
[2023-09-12 15:20:28,067][70389] Updated weights for policy 0, policy_version 650 (0.0008)
[2023-09-12 15:20:30,404][70389] Updated weights for policy 0, policy_version 660 (0.0008)
[2023-09-12 15:20:32,828][70389] Updated weights for policy 0, policy_version 670 (0.0009)
[2023-09-12 15:20:35,654][70389] Updated weights for policy 0, policy_version 680 (0.0008)
[2023-09-12 15:20:38,954][70389] Updated weights for policy 0, policy_version 690 (0.0009)
[2023-09-12 15:20:42,406][70389] Updated weights for policy 0, policy_version 700 (0.0009)
[2023-09-12 15:20:45,662][70389] Updated weights for policy 0, policy_version 710 (0.0008)
[2023-09-12 15:20:48,844][70316] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000000719_2945024.pth...
[2023-09-12 15:20:49,079][70389] Updated weights for policy 0, policy_version 720 (0.0008)
[2023-09-12 15:20:52,455][70389] Updated weights for policy 0, policy_version 730 (0.0008)
[2023-09-12 15:20:55,763][70389] Updated weights for policy 0, policy_version 740 (0.0008)
[2023-09-12 15:20:59,177][70389] Updated weights for policy 0, policy_version 750 (0.0008)
[2023-09-12 15:21:02,571][70389] Updated weights for policy 0, policy_version 760 (0.0009)
[2023-09-12 15:21:05,984][70389] Updated weights for policy 0, policy_version 770 (0.0008)
[2023-09-12 15:21:09,233][70389] Updated weights for policy 0, policy_version 780 (0.0009)
[2023-09-12 15:21:12,542][70389] Updated weights for policy 0, policy_version 790 (0.0009)
[2023-09-12 15:21:15,889][70389] Updated weights for policy 0, policy_version 800 (0.0009)
[2023-09-12 15:21:19,161][70389] Updated weights for policy 0, policy_version 810 (0.0009)
[2023-09-12 15:21:22,516][70389] Updated weights for policy 0, policy_version 820 (0.0008)
[2023-09-12 15:21:25,878][70389] Updated weights for policy 0, policy_version 830 (0.0008)
[2023-09-12 15:21:29,134][70389] Updated weights for policy 0, policy_version 840 (0.0009)
[2023-09-12 15:21:32,423][70389] Updated weights for policy 0, policy_version 850 (0.0010)
[2023-09-12 15:21:35,896][70389] Updated weights for policy 0, policy_version 860 (0.0009)
[2023-09-12 15:21:39,149][70389] Updated weights for policy 0, policy_version 870 (0.0008)
[2023-09-12 15:21:42,494][70389] Updated weights for policy 0, policy_version 880 (0.0009)
[2023-09-12 15:21:45,841][70389] Updated weights for policy 0, policy_version 890 (0.0008)
[2023-09-12 15:21:49,057][70389] Updated weights for policy 0, policy_version 900 (0.0009)
[2023-09-12 15:21:52,263][70389] Updated weights for policy 0, policy_version 910 (0.0008)
[2023-09-12 15:21:55,606][70389] Updated weights for policy 0, policy_version 920 (0.0009)
[2023-09-12 15:21:58,945][70389] Updated weights for policy 0, policy_version 930 (0.0008)
[2023-09-12 15:22:02,335][70389] Updated weights for policy 0, policy_version 940 (0.0009)
[2023-09-12 15:22:05,727][70389] Updated weights for policy 0, policy_version 950 (0.0008)
[2023-09-12 15:22:08,953][70389] Updated weights for policy 0, policy_version 960 (0.0009)
[2023-09-12 15:22:12,312][70389] Updated weights for policy 0, policy_version 970 (0.0008)
[2023-09-12 15:22:15,662][70389] Updated weights for policy 0, policy_version 980 (0.0008)
[2023-09-12 15:22:18,972][70389] Updated weights for policy 0, policy_version 990 (0.0009)
[2023-09-12 15:22:22,344][70389] Updated weights for policy 0, policy_version 1000 (0.0008)
[2023-09-12 15:22:25,658][70389] Updated weights for policy 0, policy_version 1010 (0.0009)
[2023-09-12 15:22:28,987][70389] Updated weights for policy 0, policy_version 1020 (0.0008)
[2023-09-12 15:22:32,343][70389] Updated weights for policy 0, policy_version 1030 (0.0008)
[2023-09-12 15:22:35,691][70389] Updated weights for policy 0, policy_version 1040 (0.0008)
[2023-09-12 15:22:39,076][70389] Updated weights for policy 0, policy_version 1050 (0.0009)
[2023-09-12 15:22:42,412][70389] Updated weights for policy 0, policy_version 1060 (0.0009)
[2023-09-12 15:22:45,739][70389] Updated weights for policy 0, policy_version 1070 (0.0009)
[2023-09-12 15:22:48,842][70316] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000001079_4419584.pth...
[2023-09-12 15:22:48,893][70316] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000000316_1294336.pth
[2023-09-12 15:22:49,048][70389] Updated weights for policy 0, policy_version 1080 (0.0009)
[2023-09-12 15:22:52,419][70389] Updated weights for policy 0, policy_version 1090 (0.0009)
[2023-09-12 15:22:55,791][70389] Updated weights for policy 0, policy_version 1100 (0.0009)
[2023-09-12 15:22:59,112][70389] Updated weights for policy 0, policy_version 1110 (0.0008)
[2023-09-12 15:23:02,458][70389] Updated weights for policy 0, policy_version 1120 (0.0008)
[2023-09-12 15:23:05,787][70389] Updated weights for policy 0, policy_version 1130 (0.0009)
[2023-09-12 15:23:09,145][70389] Updated weights for policy 0, policy_version 1140 (0.0008)
[2023-09-12 15:23:12,425][70389] Updated weights for policy 0, policy_version 1150 (0.0009)
[2023-09-12 15:23:15,828][70389] Updated weights for policy 0, policy_version 1160 (0.0009)
[2023-09-12 15:23:19,213][70389] Updated weights for policy 0, policy_version 1170 (0.0008)
[2023-09-12 15:23:22,633][70389] Updated weights for policy 0, policy_version 1180 (0.0009)
[2023-09-12 15:23:25,512][70389] Updated weights for policy 0, policy_version 1190 (0.0009)
[2023-09-12 15:23:27,926][70389] Updated weights for policy 0, policy_version 1200 (0.0008)
[2023-09-12 15:23:30,389][70389] Updated weights for policy 0, policy_version 1210 (0.0009)
[2023-09-12 15:23:32,819][70389] Updated weights for policy 0, policy_version 1220 (0.0009)
[2023-09-12 15:23:35,236][70389] Updated weights for policy 0, policy_version 1230 (0.0008)
[2023-09-12 15:23:37,587][70389] Updated weights for policy 0, policy_version 1240 (0.0008)
[2023-09-12 15:23:39,993][70389] Updated weights for policy 0, policy_version 1250 (0.0009)
[2023-09-12 15:23:42,419][70389] Updated weights for policy 0, policy_version 1260 (0.0008)
[2023-09-12 15:23:44,776][70389] Updated weights for policy 0, policy_version 1270 (0.0008)
[2023-09-12 15:23:47,241][70389] Updated weights for policy 0, policy_version 1280 (0.0009)
[2023-09-12 15:23:49,695][70389] Updated weights for policy 0, policy_version 1290 (0.0008)
[2023-09-12 15:23:52,094][70389] Updated weights for policy 0, policy_version 1300 (0.0009)
[2023-09-12 15:23:54,465][70389] Updated weights for policy 0, policy_version 1310 (0.0008)
[2023-09-12 15:23:56,875][70389] Updated weights for policy 0, policy_version 1320 (0.0008)
[2023-09-12 15:23:58,843][70316] Saving new best policy, reward=-0.050!
[2023-09-12 15:23:59,310][70389] Updated weights for policy 0, policy_version 1330 (0.0009)
[2023-09-12 15:24:01,732][70389] Updated weights for policy 0, policy_version 1340 (0.0009)
[2023-09-12 15:24:03,869][70316] Saving new best policy, reward=-0.037!
[2023-09-12 15:24:04,122][70389] Updated weights for policy 0, policy_version 1350 (0.0009)
[2023-09-12 15:24:07,167][70389] Updated weights for policy 0, policy_version 1360 (0.0009)
[2023-09-12 15:24:10,461][70389] Updated weights for policy 0, policy_version 1370 (0.0008)
[2023-09-12 15:24:13,808][70389] Updated weights for policy 0, policy_version 1380 (0.0008)
[2023-09-12 15:24:17,150][70389] Updated weights for policy 0, policy_version 1390 (0.0008)
[2023-09-12 15:24:20,508][70389] Updated weights for policy 0, policy_version 1400 (0.0009)
[2023-09-12 15:24:23,777][70389] Updated weights for policy 0, policy_version 1410 (0.0009)
[2023-09-12 15:24:27,139][70389] Updated weights for policy 0, policy_version 1420 (0.0009)
[2023-09-12 15:24:30,474][70389] Updated weights for policy 0, policy_version 1430 (0.0008)
[2023-09-12 15:24:33,830][70389] Updated weights for policy 0, policy_version 1440 (0.0009)
[2023-09-12 15:24:37,574][70389] Updated weights for policy 0, policy_version 1450 (0.0009)
[2023-09-12 15:24:41,285][70389] Updated weights for policy 0, policy_version 1460 (0.0011)
[2023-09-12 15:24:44,836][70389] Updated weights for policy 0, policy_version 1470 (0.0009)
[2023-09-12 15:24:48,233][70389] Updated weights for policy 0, policy_version 1480 (0.0009)
[2023-09-12 15:24:48,881][70316] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000001482_6070272.pth...
[2023-09-12 15:24:48,930][70316] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000000719_2945024.pth
[2023-09-12 15:24:51,554][70389] Updated weights for policy 0, policy_version 1490 (0.0008)
[2023-09-12 15:24:53,869][70316] Saving new best policy, reward=-0.030!
[2023-09-12 15:24:54,885][70389] Updated weights for policy 0, policy_version 1500 (0.0008)
[2023-09-12 15:24:58,187][70389] Updated weights for policy 0, policy_version 1510 (0.0009)
[2023-09-12 15:25:01,449][70389] Updated weights for policy 0, policy_version 1520 (0.0009)
[2023-09-12 15:25:04,823][70389] Updated weights for policy 0, policy_version 1530 (0.0008)
[2023-09-12 15:25:08,086][70389] Updated weights for policy 0, policy_version 1540 (0.0008)
[2023-09-12 15:25:11,381][70389] Updated weights for policy 0, policy_version 1550 (0.0008)
[2023-09-12 15:25:14,626][70389] Updated weights for policy 0, policy_version 1560 (0.0008)
[2023-09-12 15:25:17,993][70389] Updated weights for policy 0, policy_version 1570 (0.0008)
[2023-09-12 15:25:21,374][70389] Updated weights for policy 0, policy_version 1580 (0.0008)
[2023-09-12 15:25:24,609][70389] Updated weights for policy 0, policy_version 1590 (0.0009)
[2023-09-12 15:25:28,048][70389] Updated weights for policy 0, policy_version 1600 (0.0009)
[2023-09-12 15:25:28,840][70316] Saving new best policy, reward=-0.009!
[2023-09-12 15:25:31,325][70389] Updated weights for policy 0, policy_version 1610 (0.0009)
[2023-09-12 15:25:33,837][70316] Saving new best policy, reward=0.060!
[2023-09-12 15:25:34,594][70389] Updated weights for policy 0, policy_version 1620 (0.0008)
[2023-09-12 15:25:37,945][70389] Updated weights for policy 0, policy_version 1630 (0.0009)
[2023-09-12 15:25:41,211][70389] Updated weights for policy 0, policy_version 1640 (0.0009)
[2023-09-12 15:25:44,593][70389] Updated weights for policy 0, policy_version 1650 (0.0008)
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[2023-09-12 15:26:48,843][70316] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000001842_7544832.pth...
[2023-09-12 15:26:48,919][70316] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000001079_4419584.pth
[2023-09-12 15:26:51,373][70389] Updated weights for policy 0, policy_version 1850 (0.0008)
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[2023-09-12 15:28:48,847][70316] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000002249_9211904.pth...
[2023-09-12 15:28:48,913][70316] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000001482_6070272.pth
[2023-09-12 15:28:49,166][70389] Updated weights for policy 0, policy_version 2250 (0.0009)
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[2023-09-12 15:30:48,887][70316] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000002643_10825728.pth...
[2023-09-12 15:30:48,940][70316] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000001842_7544832.pth
[2023-09-12 15:30:50,585][70389] Updated weights for policy 0, policy_version 2650 (0.0008)
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[2023-09-12 15:32:48,841][70316] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000003022_12378112.pth...
[2023-09-12 15:32:48,891][70316] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000002249_9211904.pth
[2023-09-12 15:32:51,571][70389] Updated weights for policy 0, policy_version 3030 (0.0008)
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[2023-09-12 15:34:48,840][70316] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000003433_14061568.pth...
[2023-09-12 15:34:48,890][70316] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000002643_10825728.pth
[2023-09-12 15:34:51,060][70389] Updated weights for policy 0, policy_version 3440 (0.0008)
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[2023-09-12 15:35:58,852][70316] Saving new best policy, reward=0.063!
[2023-09-12 15:36:00,486][70389] Updated weights for policy 0, policy_version 3650 (0.0008)
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[2023-09-12 15:36:13,715][70389] Updated weights for policy 0, policy_version 3690 (0.0008)
[2023-09-12 15:36:16,912][70389] Updated weights for policy 0, policy_version 3700 (0.0008)
[2023-09-12 15:36:20,225][70389] Updated weights for policy 0, policy_version 3710 (0.0008)
[2023-09-12 15:36:23,615][70389] Updated weights for policy 0, policy_version 3720 (0.0009)
[2023-09-12 15:36:26,865][70389] Updated weights for policy 0, policy_version 3730 (0.0008)
[2023-09-12 15:36:30,189][70389] Updated weights for policy 0, policy_version 3740 (0.0008)
[2023-09-12 15:36:33,532][70389] Updated weights for policy 0, policy_version 3750 (0.0008)
[2023-09-12 15:36:36,776][70389] Updated weights for policy 0, policy_version 3760 (0.0008)
[2023-09-12 15:36:40,059][70389] Updated weights for policy 0, policy_version 3770 (0.0008)
[2023-09-12 15:36:43,462][70389] Updated weights for policy 0, policy_version 3780 (0.0009)
[2023-09-12 15:36:46,763][70389] Updated weights for policy 0, policy_version 3790 (0.0009)
[2023-09-12 15:36:48,842][70316] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000003796_15548416.pth...
[2023-09-12 15:36:48,891][70316] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000003022_12378112.pth
[2023-09-12 15:36:50,036][70389] Updated weights for policy 0, policy_version 3800 (0.0008)
[2023-09-12 15:36:53,457][70389] Updated weights for policy 0, policy_version 3810 (0.0009)
[2023-09-12 15:36:56,771][70389] Updated weights for policy 0, policy_version 3820 (0.0008)
[2023-09-12 15:37:00,122][70389] Updated weights for policy 0, policy_version 3830 (0.0008)
[2023-09-12 15:37:03,428][70389] Updated weights for policy 0, policy_version 3840 (0.0008)
[2023-09-12 15:37:06,767][70389] Updated weights for policy 0, policy_version 3850 (0.0008)
[2023-09-12 15:37:09,975][70389] Updated weights for policy 0, policy_version 3860 (0.0008)
[2023-09-12 15:37:13,319][70389] Updated weights for policy 0, policy_version 3870 (0.0009)
[2023-09-12 15:37:16,576][70389] Updated weights for policy 0, policy_version 3880 (0.0008)
[2023-09-12 15:37:19,838][70389] Updated weights for policy 0, policy_version 3890 (0.0009)
[2023-09-12 15:37:23,195][70389] Updated weights for policy 0, policy_version 3900 (0.0008)
[2023-09-12 15:37:26,008][70389] Updated weights for policy 0, policy_version 3910 (0.0008)
[2023-09-12 15:37:28,409][70389] Updated weights for policy 0, policy_version 3920 (0.0008)
[2023-09-12 15:37:30,775][70389] Updated weights for policy 0, policy_version 3930 (0.0008)
[2023-09-12 15:37:33,126][70389] Updated weights for policy 0, policy_version 3940 (0.0009)
[2023-09-12 15:37:35,538][70389] Updated weights for policy 0, policy_version 3950 (0.0009)
[2023-09-12 15:37:37,853][70389] Updated weights for policy 0, policy_version 3960 (0.0008)
[2023-09-12 15:37:40,209][70389] Updated weights for policy 0, policy_version 3970 (0.0008)
[2023-09-12 15:37:42,581][70389] Updated weights for policy 0, policy_version 3980 (0.0008)
[2023-09-12 15:37:44,981][70389] Updated weights for policy 0, policy_version 3990 (0.0008)
[2023-09-12 15:37:47,397][70389] Updated weights for policy 0, policy_version 4000 (0.0008)
[2023-09-12 15:37:49,712][70389] Updated weights for policy 0, policy_version 4010 (0.0009)
[2023-09-12 15:37:52,131][70389] Updated weights for policy 0, policy_version 4020 (0.0009)
[2023-09-12 15:37:53,840][70316] Saving new best policy, reward=0.070!
[2023-09-12 15:37:54,564][70389] Updated weights for policy 0, policy_version 4030 (0.0009)
[2023-09-12 15:37:56,983][70389] Updated weights for policy 0, policy_version 4040 (0.0009)
[2023-09-12 15:37:58,893][70316] Saving new best policy, reward=0.167!
[2023-09-12 15:37:59,375][70389] Updated weights for policy 0, policy_version 4050 (0.0009)
[2023-09-12 15:38:01,730][70389] Updated weights for policy 0, policy_version 4060 (0.0008)
[2023-09-12 15:38:04,674][70389] Updated weights for policy 0, policy_version 4070 (0.0008)
[2023-09-12 15:38:07,919][70389] Updated weights for policy 0, policy_version 4080 (0.0009)
[2023-09-12 15:38:11,241][70389] Updated weights for policy 0, policy_version 4090 (0.0009)
[2023-09-12 15:38:14,586][70389] Updated weights for policy 0, policy_version 4100 (0.0009)
[2023-09-12 15:38:17,877][70389] Updated weights for policy 0, policy_version 4110 (0.0008)
[2023-09-12 15:38:21,163][70389] Updated weights for policy 0, policy_version 4120 (0.0008)
[2023-09-12 15:38:24,554][70389] Updated weights for policy 0, policy_version 4130 (0.0008)
[2023-09-12 15:38:27,930][70389] Updated weights for policy 0, policy_version 4140 (0.0008)
[2023-09-12 15:38:31,168][70389] Updated weights for policy 0, policy_version 4150 (0.0008)
[2023-09-12 15:38:34,615][70389] Updated weights for policy 0, policy_version 4160 (0.0009)
[2023-09-12 15:38:37,936][70389] Updated weights for policy 0, policy_version 4170 (0.0010)
[2023-09-12 15:38:41,632][70389] Updated weights for policy 0, policy_version 4180 (0.0010)
[2023-09-12 15:38:43,837][70316] Saving new best policy, reward=0.181!
[2023-09-12 15:38:45,037][70389] Updated weights for policy 0, policy_version 4190 (0.0010)
[2023-09-12 15:38:48,556][70389] Updated weights for policy 0, policy_version 4200 (0.0009)
[2023-09-12 15:38:48,900][70316] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000004201_17207296.pth...
[2023-09-12 15:38:48,948][70316] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000003433_14061568.pth
[2023-09-12 15:38:51,953][70389] Updated weights for policy 0, policy_version 4210 (0.0010)
[2023-09-12 15:38:55,576][70389] Updated weights for policy 0, policy_version 4220 (0.0008)
[2023-09-12 15:38:58,842][70316] Saving new best policy, reward=0.189!
[2023-09-12 15:38:59,068][70389] Updated weights for policy 0, policy_version 4230 (0.0009)
[2023-09-12 15:39:02,527][70389] Updated weights for policy 0, policy_version 4240 (0.0010)
[2023-09-12 15:39:03,886][70316] Saving new best policy, reward=0.291!
[2023-09-12 15:39:05,859][70389] Updated weights for policy 0, policy_version 4250 (0.0009)
[2023-09-12 15:39:08,843][70316] Saving new best policy, reward=0.381!
[2023-09-12 15:39:09,384][70389] Updated weights for policy 0, policy_version 4260 (0.0009)
[2023-09-12 15:39:12,941][70389] Updated weights for policy 0, policy_version 4270 (0.0010)
[2023-09-12 15:39:13,836][70316] Saving new best policy, reward=0.422!
[2023-09-12 15:39:16,368][70389] Updated weights for policy 0, policy_version 4280 (0.0009)
[2023-09-12 15:39:18,841][70316] Saving new best policy, reward=0.423!
[2023-09-12 15:39:19,744][70389] Updated weights for policy 0, policy_version 4290 (0.0010)
[2023-09-12 15:39:23,295][70389] Updated weights for policy 0, policy_version 4300 (0.0010)
[2023-09-12 15:39:26,752][70389] Updated weights for policy 0, policy_version 4310 (0.0008)
[2023-09-12 15:39:30,100][70389] Updated weights for policy 0, policy_version 4320 (0.0008)
[2023-09-12 15:39:33,779][70389] Updated weights for policy 0, policy_version 4330 (0.0009)
[2023-09-12 15:39:37,261][70389] Updated weights for policy 0, policy_version 4340 (0.0009)
[2023-09-12 15:39:40,778][70389] Updated weights for policy 0, policy_version 4350 (0.0009)
[2023-09-12 15:39:44,170][70389] Updated weights for policy 0, policy_version 4360 (0.0008)
[2023-09-12 15:39:47,720][70389] Updated weights for policy 0, policy_version 4370 (0.0009)
[2023-09-12 15:39:51,102][70389] Updated weights for policy 0, policy_version 4380 (0.0008)
[2023-09-12 15:39:53,839][70316] Saving new best policy, reward=0.575!
[2023-09-12 15:39:54,489][70389] Updated weights for policy 0, policy_version 4390 (0.0008)
[2023-09-12 15:39:57,774][70389] Updated weights for policy 0, policy_version 4400 (0.0009)
[2023-09-12 15:40:01,161][70389] Updated weights for policy 0, policy_version 4410 (0.0009)
[2023-09-12 15:40:04,454][70389] Updated weights for policy 0, policy_version 4420 (0.0008)
[2023-09-12 15:40:07,768][70389] Updated weights for policy 0, policy_version 4430 (0.0008)
[2023-09-12 15:40:11,102][70389] Updated weights for policy 0, policy_version 4440 (0.0009)
[2023-09-12 15:40:14,413][70389] Updated weights for policy 0, policy_version 4450 (0.0009)
[2023-09-12 15:40:17,742][70389] Updated weights for policy 0, policy_version 4460 (0.0009)
[2023-09-12 15:40:21,080][70389] Updated weights for policy 0, policy_version 4470 (0.0009)
[2023-09-12 15:40:24,461][70389] Updated weights for policy 0, policy_version 4480 (0.0009)
[2023-09-12 15:40:27,962][70389] Updated weights for policy 0, policy_version 4490 (0.0009)
[2023-09-12 15:40:31,312][70389] Updated weights for policy 0, policy_version 4500 (0.0009)
[2023-09-12 15:40:34,771][70389] Updated weights for policy 0, policy_version 4510 (0.0009)
[2023-09-12 15:40:35,756][70388] EvtLoop [rollout_proc1_evt_loop, process=rollout_proc1] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance1'), args=(0, 0)
Traceback (most recent call last):
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/signal_slot/signal_slot.py", line 355, in _process_signal
slot_callable(*args)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts
complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 634, in advance_rollouts
new_obs, rewards, terminated, truncated, infos = e.step(actions)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 461, in step
return self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/make_env.py", line 129, in step
obs, rew, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/make_env.py", line 115, in step
obs, rew, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 522, in step
observation, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/envs/env_wrappers.py", line 86, in step
obs, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 461, in step
return self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step
obs, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step
reward = self.game.make_action(actions_flattened, self.skip_frames)
vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed.
[2023-09-12 15:40:35,757][70388] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc1_evt_loop
[2023-09-12 15:40:35,756][70433] EvtLoop [rollout_proc7_evt_loop, process=rollout_proc7] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance7'), args=(0, 0)
Traceback (most recent call last):
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/signal_slot/signal_slot.py", line 355, in _process_signal
slot_callable(*args)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts
complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 634, in advance_rollouts
new_obs, rewards, terminated, truncated, infos = e.step(actions)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 461, in step
return self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/make_env.py", line 129, in step
obs, rew, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/make_env.py", line 115, in step
obs, rew, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 522, in step
observation, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/envs/env_wrappers.py", line 86, in step
obs, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 461, in step
return self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step
obs, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step
reward = self.game.make_action(actions_flattened, self.skip_frames)
vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed.
[2023-09-12 15:40:35,758][70433] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc7_evt_loop
[2023-09-12 15:40:35,758][70429] EvtLoop [rollout_proc4_evt_loop, process=rollout_proc4] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance4'), args=(0, 0)
Traceback (most recent call last):
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/signal_slot/signal_slot.py", line 355, in _process_signal
slot_callable(*args)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts
complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 634, in advance_rollouts
new_obs, rewards, terminated, truncated, infos = e.step(actions)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 461, in step
return self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/make_env.py", line 129, in step
obs, rew, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/make_env.py", line 115, in step
obs, rew, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 522, in step
observation, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/envs/env_wrappers.py", line 86, in step
obs, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 461, in step
return self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step
obs, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step
reward = self.game.make_action(actions_flattened, self.skip_frames)
vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed.
[2023-09-12 15:40:35,759][70429] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc4_evt_loop
[2023-09-12 15:40:35,759][70392] EvtLoop [rollout_proc2_evt_loop, process=rollout_proc2] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance2'), args=(1, 0)
Traceback (most recent call last):
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/signal_slot/signal_slot.py", line 355, in _process_signal
slot_callable(*args)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts
complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 634, in advance_rollouts
new_obs, rewards, terminated, truncated, infos = e.step(actions)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 461, in step
return self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/make_env.py", line 129, in step
obs, rew, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/make_env.py", line 115, in step
obs, rew, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 522, in step
observation, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/envs/env_wrappers.py", line 86, in step
obs, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 461, in step
return self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step
obs, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step
reward = self.game.make_action(actions_flattened, self.skip_frames)
vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed.
[2023-09-12 15:40:35,760][70392] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc2_evt_loop
[2023-09-12 15:40:35,759][70391] EvtLoop [rollout_proc3_evt_loop, process=rollout_proc3] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance3'), args=(0, 0)
Traceback (most recent call last):
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/signal_slot/signal_slot.py", line 355, in _process_signal
slot_callable(*args)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts
complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 634, in advance_rollouts
new_obs, rewards, terminated, truncated, infos = e.step(actions)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 461, in step
return self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/make_env.py", line 129, in step
obs, rew, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/make_env.py", line 115, in step
obs, rew, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 522, in step
observation, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/envs/env_wrappers.py", line 86, in step
obs, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 461, in step
return self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step
obs, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step
reward = self.game.make_action(actions_flattened, self.skip_frames)
vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed.
[2023-09-12 15:40:35,761][70391] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc3_evt_loop
[2023-09-12 15:40:35,760][70434] EvtLoop [rollout_proc6_evt_loop, process=rollout_proc6] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance6'), args=(0, 0)
Traceback (most recent call last):
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/signal_slot/signal_slot.py", line 355, in _process_signal
slot_callable(*args)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts
complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 634, in advance_rollouts
new_obs, rewards, terminated, truncated, infos = e.step(actions)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 461, in step
return self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/make_env.py", line 129, in step
obs, rew, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/make_env.py", line 115, in step
obs, rew, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 522, in step
observation, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/envs/env_wrappers.py", line 86, in step
obs, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 461, in step
return self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step
obs, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step
reward = self.game.make_action(actions_flattened, self.skip_frames)
vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed.
[2023-09-12 15:40:35,761][70434] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc6_evt_loop
[2023-09-12 15:40:35,761][70390] EvtLoop [rollout_proc0_evt_loop, process=rollout_proc0] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance0'), args=(1, 0)
Traceback (most recent call last):
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/signal_slot/signal_slot.py", line 355, in _process_signal
slot_callable(*args)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts
complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 634, in advance_rollouts
new_obs, rewards, terminated, truncated, infos = e.step(actions)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 461, in step
return self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/make_env.py", line 129, in step
obs, rew, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/make_env.py", line 115, in step
obs, rew, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 522, in step
observation, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/envs/env_wrappers.py", line 86, in step
obs, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 461, in step
return self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step
obs, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step
reward = self.game.make_action(actions_flattened, self.skip_frames)
vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed.
[2023-09-12 15:40:35,763][70390] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc0_evt_loop
[2023-09-12 15:40:35,757][70393] EvtLoop [rollout_proc5_evt_loop, process=rollout_proc5] unhandled exception in slot='advance_rollouts' connected to emitter=Emitter(object_id='InferenceWorker_p0-w0', signal_name='advance5'), args=(1, 0)
Traceback (most recent call last):
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/signal_slot/signal_slot.py", line 355, in _process_signal
slot_callable(*args)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/sampling/rollout_worker.py", line 241, in advance_rollouts
complete_rollouts, episodic_stats = runner.advance_rollouts(policy_id, self.timing)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/sampling/non_batched_sampling.py", line 634, in advance_rollouts
new_obs, rewards, terminated, truncated, infos = e.step(actions)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 461, in step
return self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/make_env.py", line 129, in step
obs, rew, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/algo/utils/make_env.py", line 115, in step
obs, rew, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 522, in step
observation, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sample_factory/envs/env_wrappers.py", line 86, in step
obs, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/gymnasium/core.py", line 461, in step
return self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sf_examples/vizdoom/doom/wrappers/multiplayer_stats.py", line 54, in step
obs, reward, terminated, truncated, info = self.env.step(action)
File "/home/cogstack/.local/share/virtualenvs/sample_factory--NQNquiM/lib/python3.10/site-packages/sf_examples/vizdoom/doom/doom_gym.py", line 452, in step
reward = self.game.make_action(actions_flattened, self.skip_frames)
vizdoom.vizdoom.SignalException: Signal SIGINT received. ViZDoom instance has been closed.
[2023-09-12 15:40:35,766][70393] Unhandled exception Signal SIGINT received. ViZDoom instance has been closed. in evt loop rollout_proc5_evt_loop
[2023-09-12 15:40:35,800][70316] Stopping Batcher_0...
[2023-09-12 15:40:35,800][70316] Loop batcher_evt_loop terminating...
[2023-09-12 15:40:35,801][70316] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000004513_18485248.pth...
[2023-09-12 15:40:35,852][70389] Weights refcount: 2 0
[2023-09-12 15:40:35,853][70389] Stopping InferenceWorker_p0-w0...
[2023-09-12 15:40:35,853][70389] Loop inference_proc0-0_evt_loop terminating...
[2023-09-12 15:40:35,870][70316] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000003796_15548416.pth
[2023-09-12 15:40:35,880][70316] Stopping LearnerWorker_p0...
[2023-09-12 15:40:35,881][70316] Loop learner_proc0_evt_loop terminating...
[2023-09-12 15:51:21,821][89073] Using GPUs [0] for process 0 (actually maps to GPUs [0])
[2023-09-12 15:51:21,821][89073] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for learning process 0
[2023-09-12 15:51:21,840][89073] Num visible devices: 1
[2023-09-12 15:51:21,859][89073] Starting seed is not provided
[2023-09-12 15:51:21,860][89073] Using GPUs [0] for process 0 (actually maps to GPUs [0])
[2023-09-12 15:51:21,860][89073] Initializing actor-critic model on device cuda:0
[2023-09-12 15:51:21,860][89073] RunningMeanStd input shape: (3, 72, 128)
[2023-09-12 15:51:21,861][89073] RunningMeanStd input shape: (1,)
[2023-09-12 15:51:21,874][89073] ConvEncoder: input_channels=3
[2023-09-12 15:51:22,016][89073] Conv encoder output size: 512
[2023-09-12 15:51:22,017][89073] Policy head output size: 512
[2023-09-12 15:51:22,040][89073] Created Actor Critic model with architecture:
[2023-09-12 15:51:22,041][89073] ActorCriticSharedWeights(
(obs_normalizer): ObservationNormalizer(
(running_mean_std): RunningMeanStdDictInPlace(
(running_mean_std): ModuleDict(
(obs): RunningMeanStdInPlace()
)
)
)
(returns_normalizer): RecursiveScriptModule(original_name=RunningMeanStdInPlace)
(encoder): VizdoomEncoder(
(basic_encoder): ConvEncoder(
(enc): RecursiveScriptModule(
original_name=ConvEncoderImpl
(conv_head): RecursiveScriptModule(
original_name=Sequential
(0): RecursiveScriptModule(original_name=Conv2d)
(1): RecursiveScriptModule(original_name=ELU)
(2): RecursiveScriptModule(original_name=Conv2d)
(3): RecursiveScriptModule(original_name=ELU)
(4): RecursiveScriptModule(original_name=Conv2d)
(5): RecursiveScriptModule(original_name=ELU)
)
(mlp_layers): RecursiveScriptModule(
original_name=Sequential
(0): RecursiveScriptModule(original_name=Linear)
(1): RecursiveScriptModule(original_name=ELU)
)
)
)
)
(core): ModelCoreRNN(
(core): GRU(512, 512)
)
(decoder): MlpDecoder(
(mlp): Identity()
)
(critic_linear): Linear(in_features=512, out_features=1, bias=True)
(action_parameterization): ActionParameterizationDefault(
(distribution_linear): Linear(in_features=512, out_features=6, bias=True)
)
)
[2023-09-12 15:51:23,253][89073] Using optimizer <class 'torch.optim.adam.Adam'>
[2023-09-12 15:51:23,253][89073] Loading state from checkpoint /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000004513_18485248.pth...
[2023-09-12 15:51:23,288][89073] Loading model from checkpoint
[2023-09-12 15:51:23,293][89073] Loaded experiment state at self.train_step=4513, self.env_steps=18485248
[2023-09-12 15:51:23,294][89073] Initialized policy 0 weights for model version 4513
[2023-09-12 15:51:23,296][89073] LearnerWorker_p0 finished initialization!
[2023-09-12 15:51:23,296][89073] Using GPUs [0] for process 0 (actually maps to GPUs [0])
[2023-09-12 15:51:23,885][89377] Worker 2 uses CPU cores [8, 9, 10, 11]
[2023-09-12 15:51:23,911][89379] Worker 3 uses CPU cores [12, 13, 14, 15]
[2023-09-12 15:51:23,919][89380] Worker 4 uses CPU cores [16, 17, 18, 19]
[2023-09-12 15:51:23,984][89382] Worker 6 uses CPU cores [24, 25, 26, 27]
[2023-09-12 15:51:24,023][89378] Worker 1 uses CPU cores [4, 5, 6, 7]
[2023-09-12 15:51:24,088][89375] Worker 0 uses CPU cores [0, 1, 2, 3]
[2023-09-12 15:51:24,144][89374] Using GPUs [0] for process 0 (actually maps to GPUs [0])
[2023-09-12 15:51:24,144][89374] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for inference process 0
[2023-09-12 15:51:24,186][89374] Num visible devices: 1
[2023-09-12 15:51:24,252][89381] Worker 5 uses CPU cores [20, 21, 22, 23]
[2023-09-12 15:51:24,435][89383] Worker 7 uses CPU cores [28, 29, 30, 31]
[2023-09-12 15:51:24,863][89374] RunningMeanStd input shape: (3, 72, 128)
[2023-09-12 15:51:24,864][89374] RunningMeanStd input shape: (1,)
[2023-09-12 15:51:24,875][89374] ConvEncoder: input_channels=3
[2023-09-12 15:51:24,975][89374] Conv encoder output size: 512
[2023-09-12 15:51:24,976][89374] Policy head output size: 512
[2023-09-12 15:51:25,300][89379] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:51:25,300][89383] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:51:25,300][89380] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:51:25,310][89375] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:51:25,319][89382] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:51:25,319][89377] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:51:25,319][89381] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:51:25,319][89378] Doom resolution: 160x120, resize resolution: (128, 72)
[2023-09-12 15:51:25,605][89383] Decorrelating experience for 0 frames...
[2023-09-12 15:51:25,693][89380] Decorrelating experience for 0 frames...
[2023-09-12 15:51:25,725][89375] Decorrelating experience for 0 frames...
[2023-09-12 15:51:25,782][89381] Decorrelating experience for 0 frames...
[2023-09-12 15:51:25,874][89383] Decorrelating experience for 32 frames...
[2023-09-12 15:51:25,962][89380] Decorrelating experience for 32 frames...
[2023-09-12 15:51:26,002][89375] Decorrelating experience for 32 frames...
[2023-09-12 15:51:26,016][89377] Decorrelating experience for 0 frames...
[2023-09-12 15:51:26,055][89381] Decorrelating experience for 32 frames...
[2023-09-12 15:51:26,100][89378] Decorrelating experience for 0 frames...
[2023-09-12 15:51:26,344][89377] Decorrelating experience for 32 frames...
[2023-09-12 15:51:26,345][89382] Decorrelating experience for 0 frames...
[2023-09-12 15:51:26,351][89375] Decorrelating experience for 64 frames...
[2023-09-12 15:51:26,373][89380] Decorrelating experience for 64 frames...
[2023-09-12 15:51:26,612][89382] Decorrelating experience for 32 frames...
[2023-09-12 15:51:26,622][89379] Decorrelating experience for 0 frames...
[2023-09-12 15:51:26,625][89378] Decorrelating experience for 32 frames...
[2023-09-12 15:51:26,656][89381] Decorrelating experience for 64 frames...
[2023-09-12 15:51:26,679][89380] Decorrelating experience for 96 frames...
[2023-09-12 15:51:26,888][89379] Decorrelating experience for 32 frames...
[2023-09-12 15:51:26,969][89382] Decorrelating experience for 64 frames...
[2023-09-12 15:51:27,032][89383] Decorrelating experience for 64 frames...
[2023-09-12 15:51:27,033][89378] Decorrelating experience for 64 frames...
[2023-09-12 15:51:27,279][89377] Decorrelating experience for 64 frames...
[2023-09-12 15:51:27,287][89382] Decorrelating experience for 96 frames...
[2023-09-12 15:51:27,293][89379] Decorrelating experience for 64 frames...
[2023-09-12 15:51:27,310][89381] Decorrelating experience for 96 frames...
[2023-09-12 15:51:27,478][89383] Decorrelating experience for 96 frames...
[2023-09-12 15:51:27,605][89379] Decorrelating experience for 96 frames...
[2023-09-12 15:51:27,650][89377] Decorrelating experience for 96 frames...
[2023-09-12 15:51:27,652][89375] Decorrelating experience for 96 frames...
[2023-09-12 15:51:27,925][89378] Decorrelating experience for 96 frames...
[2023-09-12 15:51:28,229][89073] Signal inference workers to stop experience collection...
[2023-09-12 15:51:28,236][89374] InferenceWorker_p0-w0: stopping experience collection
[2023-09-12 15:51:31,722][89073] Signal inference workers to resume experience collection...
[2023-09-12 15:51:31,723][89374] InferenceWorker_p0-w0: resuming experience collection
[2023-09-12 15:51:32,641][89073] Saving new best policy, reward=0.981!
[2023-09-12 15:51:34,671][89374] Updated weights for policy 0, policy_version 4523 (0.0376)
[2023-09-12 15:51:37,207][89374] Updated weights for policy 0, policy_version 4533 (0.0009)
[2023-09-12 15:51:39,664][89374] Updated weights for policy 0, policy_version 4543 (0.0009)
[2023-09-12 15:51:42,780][89374] Updated weights for policy 0, policy_version 4553 (0.0009)
[2023-09-12 15:51:46,248][89374] Updated weights for policy 0, policy_version 4563 (0.0008)
[2023-09-12 15:51:49,484][89374] Updated weights for policy 0, policy_version 4573 (0.0009)
[2023-09-12 15:51:52,986][89374] Updated weights for policy 0, policy_version 4583 (0.0009)
[2023-09-12 15:51:56,495][89374] Updated weights for policy 0, policy_version 4593 (0.0008)
[2023-09-12 15:51:59,811][89374] Updated weights for policy 0, policy_version 4603 (0.0008)
[2023-09-12 15:52:03,258][89374] Updated weights for policy 0, policy_version 4613 (0.0009)
[2023-09-12 15:52:06,683][89374] Updated weights for policy 0, policy_version 4623 (0.0009)
[2023-09-12 15:52:10,130][89374] Updated weights for policy 0, policy_version 4633 (0.0009)
[2023-09-12 15:52:13,617][89374] Updated weights for policy 0, policy_version 4643 (0.0010)
[2023-09-12 15:52:17,108][89374] Updated weights for policy 0, policy_version 4653 (0.0009)
[2023-09-12 15:52:20,646][89374] Updated weights for policy 0, policy_version 4663 (0.0010)
[2023-09-12 15:52:23,950][89374] Updated weights for policy 0, policy_version 4673 (0.0009)
[2023-09-12 15:52:27,408][89374] Updated weights for policy 0, policy_version 4683 (0.0010)
[2023-09-12 15:52:30,828][89374] Updated weights for policy 0, policy_version 4693 (0.0009)
[2023-09-12 15:52:34,240][89374] Updated weights for policy 0, policy_version 4703 (0.0009)
[2023-09-12 15:52:37,683][89374] Updated weights for policy 0, policy_version 4713 (0.0010)
[2023-09-12 15:52:41,020][89374] Updated weights for policy 0, policy_version 4723 (0.0010)
[2023-09-12 15:52:44,482][89374] Updated weights for policy 0, policy_version 4733 (0.0009)
[2023-09-12 15:52:47,975][89374] Updated weights for policy 0, policy_version 4743 (0.0009)
[2023-09-12 15:52:51,430][89374] Updated weights for policy 0, policy_version 4753 (0.0009)
[2023-09-12 15:52:54,914][89374] Updated weights for policy 0, policy_version 4763 (0.0008)
[2023-09-12 15:52:58,332][89374] Updated weights for policy 0, policy_version 4773 (0.0008)
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[2023-09-12 15:53:16,781][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000004827_19771392.pth...
[2023-09-12 15:53:16,834][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000004201_17207296.pth
[2023-09-12 15:53:18,828][89374] Updated weights for policy 0, policy_version 4833 (0.0013)
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[2023-09-12 15:55:16,785][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000005216_21364736.pth...
[2023-09-12 15:55:16,837][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000004513_18485248.pth
[2023-09-12 15:55:19,233][89374] Updated weights for policy 0, policy_version 5223 (0.0009)
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[2023-09-12 15:57:16,784][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000005566_22798336.pth...
[2023-09-12 15:57:16,837][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000004827_19771392.pth
[2023-09-12 15:57:18,902][89374] Updated weights for policy 0, policy_version 5573 (0.0008)
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[2023-09-12 15:59:16,782][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000005967_24440832.pth...
[2023-09-12 15:59:16,835][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000005216_21364736.pth
[2023-09-12 15:59:18,605][89374] Updated weights for policy 0, policy_version 5973 (0.0008)
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[2023-09-12 16:01:16,784][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000006324_25903104.pth...
[2023-09-12 16:01:16,835][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000005566_22798336.pth
[2023-09-12 16:01:19,733][89374] Updated weights for policy 0, policy_version 6333 (0.0009)
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[2023-09-12 16:03:16,785][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000006723_27537408.pth...
[2023-09-12 16:03:16,840][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000005967_24440832.pth
[2023-09-12 16:03:20,029][89374] Updated weights for policy 0, policy_version 6733 (0.0008)
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[2023-09-12 16:05:16,782][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000007102_29089792.pth...
[2023-09-12 16:05:16,843][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000006324_25903104.pth
[2023-09-12 16:05:16,930][89374] Updated weights for policy 0, policy_version 7103 (0.0008)
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[2023-09-12 16:07:16,783][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000007457_30543872.pth...
[2023-09-12 16:07:16,838][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000006723_27537408.pth
[2023-09-12 16:07:18,688][89374] Updated weights for policy 0, policy_version 7463 (0.0010)
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[2023-09-12 16:09:16,781][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000007837_32100352.pth...
[2023-09-12 16:09:16,833][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000007102_29089792.pth
[2023-09-12 16:09:18,649][89374] Updated weights for policy 0, policy_version 7843 (0.0009)
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[2023-09-12 16:11:16,845][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000008187_33533952.pth...
[2023-09-12 16:11:16,901][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000007457_30543872.pth
[2023-09-12 16:11:18,885][89374] Updated weights for policy 0, policy_version 8193 (0.0008)
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[2023-09-12 16:13:16,816][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000008599_35221504.pth...
[2023-09-12 16:13:16,866][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000007837_32100352.pth
[2023-09-12 16:13:18,140][89374] Updated weights for policy 0, policy_version 8603 (0.0008)
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[2023-09-12 16:15:16,781][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000008953_36671488.pth...
[2023-09-12 16:15:16,833][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000008187_33533952.pth
[2023-09-12 16:15:19,116][89374] Updated weights for policy 0, policy_version 8963 (0.0008)
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[2023-09-12 16:17:16,781][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000009354_38313984.pth...
[2023-09-12 16:17:16,833][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000008599_35221504.pth
[2023-09-12 16:17:19,748][89374] Updated weights for policy 0, policy_version 9363 (0.0009)
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[2023-09-12 16:19:16,781][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000009740_39895040.pth...
[2023-09-12 16:19:16,835][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000008953_36671488.pth
[2023-09-12 16:19:17,363][89374] Updated weights for policy 0, policy_version 9743 (0.0009)
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[2023-09-12 16:21:16,783][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000010099_41365504.pth...
[2023-09-12 16:21:16,844][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000009354_38313984.pth
[2023-09-12 16:21:17,998][89374] Updated weights for policy 0, policy_version 10103 (0.0010)
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[2023-09-12 16:23:16,782][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000010505_43028480.pth...
[2023-09-12 16:23:16,834][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000009740_39895040.pth
[2023-09-12 16:23:19,407][89374] Updated weights for policy 0, policy_version 10513 (0.0009)
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[2023-09-12 16:25:16,819][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000010859_44478464.pth...
[2023-09-12 16:25:16,870][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000010099_41365504.pth
[2023-09-12 16:25:18,153][89374] Updated weights for policy 0, policy_version 10863 (0.0008)
[2023-09-12 16:25:21,460][89374] Updated weights for policy 0, policy_version 10873 (0.0009)
[2023-09-12 16:25:24,860][89374] Updated weights for policy 0, policy_version 10883 (0.0008)
[2023-09-12 16:25:28,200][89374] Updated weights for policy 0, policy_version 10893 (0.0009)
[2023-09-12 16:25:31,625][89374] Updated weights for policy 0, policy_version 10903 (0.0009)
[2023-09-12 16:25:35,019][89374] Updated weights for policy 0, policy_version 10913 (0.0008)
[2023-09-12 16:25:38,361][89374] Updated weights for policy 0, policy_version 10923 (0.0009)
[2023-09-12 16:25:41,718][89374] Updated weights for policy 0, policy_version 10933 (0.0009)
[2023-09-12 16:25:44,682][89374] Updated weights for policy 0, policy_version 10943 (0.0009)
[2023-09-12 16:25:47,205][89374] Updated weights for policy 0, policy_version 10953 (0.0009)
[2023-09-12 16:25:49,634][89374] Updated weights for policy 0, policy_version 10963 (0.0009)
[2023-09-12 16:25:52,110][89374] Updated weights for policy 0, policy_version 10973 (0.0009)
[2023-09-12 16:25:54,532][89374] Updated weights for policy 0, policy_version 10983 (0.0008)
[2023-09-12 16:25:56,944][89374] Updated weights for policy 0, policy_version 10993 (0.0009)
[2023-09-12 16:25:59,468][89374] Updated weights for policy 0, policy_version 11003 (0.0009)
[2023-09-12 16:26:01,979][89374] Updated weights for policy 0, policy_version 11013 (0.0008)
[2023-09-12 16:26:04,324][89374] Updated weights for policy 0, policy_version 11023 (0.0008)
[2023-09-12 16:26:06,771][89374] Updated weights for policy 0, policy_version 11033 (0.0009)
[2023-09-12 16:26:09,231][89374] Updated weights for policy 0, policy_version 11043 (0.0009)
[2023-09-12 16:26:11,613][89374] Updated weights for policy 0, policy_version 11053 (0.0008)
[2023-09-12 16:26:14,011][89374] Updated weights for policy 0, policy_version 11063 (0.0009)
[2023-09-12 16:26:16,497][89374] Updated weights for policy 0, policy_version 11073 (0.0010)
[2023-09-12 16:26:18,930][89374] Updated weights for policy 0, policy_version 11083 (0.0008)
[2023-09-12 16:26:21,392][89374] Updated weights for policy 0, policy_version 11093 (0.0008)
[2023-09-12 16:26:23,811][89374] Updated weights for policy 0, policy_version 11103 (0.0009)
[2023-09-12 16:26:26,881][89374] Updated weights for policy 0, policy_version 11113 (0.0009)
[2023-09-12 16:26:30,278][89374] Updated weights for policy 0, policy_version 11123 (0.0008)
[2023-09-12 16:26:33,625][89374] Updated weights for policy 0, policy_version 11133 (0.0008)
[2023-09-12 16:26:36,997][89374] Updated weights for policy 0, policy_version 11143 (0.0008)
[2023-09-12 16:26:40,416][89374] Updated weights for policy 0, policy_version 11153 (0.0009)
[2023-09-12 16:26:43,761][89374] Updated weights for policy 0, policy_version 11163 (0.0008)
[2023-09-12 16:26:47,194][89374] Updated weights for policy 0, policy_version 11173 (0.0008)
[2023-09-12 16:26:50,530][89374] Updated weights for policy 0, policy_version 11183 (0.0009)
[2023-09-12 16:26:53,981][89374] Updated weights for policy 0, policy_version 11193 (0.0009)
[2023-09-12 16:26:57,349][89374] Updated weights for policy 0, policy_version 11203 (0.0009)
[2023-09-12 16:27:00,784][89374] Updated weights for policy 0, policy_version 11213 (0.0009)
[2023-09-12 16:27:04,141][89374] Updated weights for policy 0, policy_version 11223 (0.0009)
[2023-09-12 16:27:07,542][89374] Updated weights for policy 0, policy_version 11233 (0.0009)
[2023-09-12 16:27:10,865][89374] Updated weights for policy 0, policy_version 11243 (0.0008)
[2023-09-12 16:27:14,263][89374] Updated weights for policy 0, policy_version 11253 (0.0008)
[2023-09-12 16:27:16,782][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000011260_46120960.pth...
[2023-09-12 16:27:16,838][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000010505_43028480.pth
[2023-09-12 16:27:17,628][89374] Updated weights for policy 0, policy_version 11263 (0.0008)
[2023-09-12 16:27:20,992][89374] Updated weights for policy 0, policy_version 11273 (0.0008)
[2023-09-12 16:27:24,412][89374] Updated weights for policy 0, policy_version 11283 (0.0008)
[2023-09-12 16:27:27,698][89374] Updated weights for policy 0, policy_version 11293 (0.0008)
[2023-09-12 16:27:31,029][89374] Updated weights for policy 0, policy_version 11303 (0.0009)
[2023-09-12 16:27:34,474][89374] Updated weights for policy 0, policy_version 11313 (0.0008)
[2023-09-12 16:27:37,789][89374] Updated weights for policy 0, policy_version 11323 (0.0008)
[2023-09-12 16:27:41,095][89374] Updated weights for policy 0, policy_version 11333 (0.0009)
[2023-09-12 16:27:44,552][89374] Updated weights for policy 0, policy_version 11343 (0.0009)
[2023-09-12 16:27:47,959][89374] Updated weights for policy 0, policy_version 11353 (0.0008)
[2023-09-12 16:27:51,184][89374] Updated weights for policy 0, policy_version 11363 (0.0008)
[2023-09-12 16:27:54,576][89374] Updated weights for policy 0, policy_version 11373 (0.0009)
[2023-09-12 16:27:57,940][89374] Updated weights for policy 0, policy_version 11383 (0.0009)
[2023-09-12 16:28:01,245][89374] Updated weights for policy 0, policy_version 11393 (0.0008)
[2023-09-12 16:28:04,716][89374] Updated weights for policy 0, policy_version 11403 (0.0008)
[2023-09-12 16:28:07,946][89374] Updated weights for policy 0, policy_version 11413 (0.0009)
[2023-09-12 16:28:11,285][89374] Updated weights for policy 0, policy_version 11423 (0.0008)
[2023-09-12 16:28:14,701][89374] Updated weights for policy 0, policy_version 11433 (0.0009)
[2023-09-12 16:28:18,058][89374] Updated weights for policy 0, policy_version 11443 (0.0009)
[2023-09-12 16:28:21,304][89374] Updated weights for policy 0, policy_version 11453 (0.0008)
[2023-09-12 16:28:24,718][89374] Updated weights for policy 0, policy_version 11463 (0.0008)
[2023-09-12 16:28:28,078][89374] Updated weights for policy 0, policy_version 11473 (0.0009)
[2023-09-12 16:28:31,494][89374] Updated weights for policy 0, policy_version 11483 (0.0008)
[2023-09-12 16:28:34,904][89374] Updated weights for policy 0, policy_version 11493 (0.0009)
[2023-09-12 16:28:38,185][89374] Updated weights for policy 0, policy_version 11503 (0.0009)
[2023-09-12 16:28:41,571][89374] Updated weights for policy 0, policy_version 11513 (0.0008)
[2023-09-12 16:28:44,920][89374] Updated weights for policy 0, policy_version 11523 (0.0009)
[2023-09-12 16:28:48,297][89374] Updated weights for policy 0, policy_version 11533 (0.0008)
[2023-09-12 16:28:51,617][89374] Updated weights for policy 0, policy_version 11543 (0.0008)
[2023-09-12 16:28:55,061][89374] Updated weights for policy 0, policy_version 11553 (0.0009)
[2023-09-12 16:28:58,428][89374] Updated weights for policy 0, policy_version 11563 (0.0009)
[2023-09-12 16:29:01,770][89374] Updated weights for policy 0, policy_version 11573 (0.0009)
[2023-09-12 16:29:01,777][89073] Saving new best policy, reward=0.982!
[2023-09-12 16:29:05,201][89374] Updated weights for policy 0, policy_version 11583 (0.0009)
[2023-09-12 16:29:08,567][89374] Updated weights for policy 0, policy_version 11593 (0.0009)
[2023-09-12 16:29:12,006][89374] Updated weights for policy 0, policy_version 11603 (0.0009)
[2023-09-12 16:29:15,152][89374] Updated weights for policy 0, policy_version 11613 (0.0008)
[2023-09-12 16:29:16,822][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000011620_47595520.pth...
[2023-09-12 16:29:16,873][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000010859_44478464.pth
[2023-09-12 16:29:17,572][89374] Updated weights for policy 0, policy_version 11623 (0.0009)
[2023-09-12 16:29:19,994][89374] Updated weights for policy 0, policy_version 11633 (0.0008)
[2023-09-12 16:29:22,457][89374] Updated weights for policy 0, policy_version 11643 (0.0009)
[2023-09-12 16:29:24,909][89374] Updated weights for policy 0, policy_version 11653 (0.0008)
[2023-09-12 16:29:27,363][89374] Updated weights for policy 0, policy_version 11663 (0.0009)
[2023-09-12 16:29:29,814][89374] Updated weights for policy 0, policy_version 11673 (0.0009)
[2023-09-12 16:29:32,266][89374] Updated weights for policy 0, policy_version 11683 (0.0009)
[2023-09-12 16:29:34,771][89374] Updated weights for policy 0, policy_version 11693 (0.0008)
[2023-09-12 16:29:37,212][89374] Updated weights for policy 0, policy_version 11703 (0.0009)
[2023-09-12 16:29:39,720][89374] Updated weights for policy 0, policy_version 11713 (0.0009)
[2023-09-12 16:29:42,217][89374] Updated weights for policy 0, policy_version 11723 (0.0009)
[2023-09-12 16:29:44,791][89374] Updated weights for policy 0, policy_version 11733 (0.0010)
[2023-09-12 16:29:48,128][89374] Updated weights for policy 0, policy_version 11743 (0.0009)
[2023-09-12 16:29:51,494][89374] Updated weights for policy 0, policy_version 11753 (0.0009)
[2023-09-12 16:29:54,800][89374] Updated weights for policy 0, policy_version 11763 (0.0009)
[2023-09-12 16:29:58,215][89374] Updated weights for policy 0, policy_version 11773 (0.0008)
[2023-09-12 16:30:01,599][89374] Updated weights for policy 0, policy_version 11783 (0.0010)
[2023-09-12 16:30:04,933][89374] Updated weights for policy 0, policy_version 11793 (0.0009)
[2023-09-12 16:30:08,360][89374] Updated weights for policy 0, policy_version 11803 (0.0008)
[2023-09-12 16:30:11,737][89374] Updated weights for policy 0, policy_version 11813 (0.0009)
[2023-09-12 16:30:15,079][89374] Updated weights for policy 0, policy_version 11823 (0.0008)
[2023-09-12 16:30:18,430][89374] Updated weights for policy 0, policy_version 11833 (0.0009)
[2023-09-12 16:30:21,835][89374] Updated weights for policy 0, policy_version 11843 (0.0009)
[2023-09-12 16:30:25,286][89374] Updated weights for policy 0, policy_version 11853 (0.0009)
[2023-09-12 16:30:28,655][89374] Updated weights for policy 0, policy_version 11863 (0.0010)
[2023-09-12 16:30:32,125][89374] Updated weights for policy 0, policy_version 11873 (0.0009)
[2023-09-12 16:30:35,836][89374] Updated weights for policy 0, policy_version 11883 (0.0010)
[2023-09-12 16:30:39,078][89374] Updated weights for policy 0, policy_version 11893 (0.0009)
[2023-09-12 16:30:42,496][89374] Updated weights for policy 0, policy_version 11903 (0.0009)
[2023-09-12 16:30:45,838][89374] Updated weights for policy 0, policy_version 11913 (0.0009)
[2023-09-12 16:30:49,307][89374] Updated weights for policy 0, policy_version 11923 (0.0009)
[2023-09-12 16:30:52,673][89374] Updated weights for policy 0, policy_version 11933 (0.0008)
[2023-09-12 16:30:56,035][89374] Updated weights for policy 0, policy_version 11943 (0.0009)
[2023-09-12 16:30:59,490][89374] Updated weights for policy 0, policy_version 11953 (0.0009)
[2023-09-12 16:31:02,928][89374] Updated weights for policy 0, policy_version 11963 (0.0009)
[2023-09-12 16:31:06,220][89374] Updated weights for policy 0, policy_version 11973 (0.0008)
[2023-09-12 16:31:09,648][89374] Updated weights for policy 0, policy_version 11983 (0.0009)
[2023-09-12 16:31:12,963][89374] Updated weights for policy 0, policy_version 11993 (0.0009)
[2023-09-12 16:31:16,384][89374] Updated weights for policy 0, policy_version 12003 (0.0008)
[2023-09-12 16:31:16,780][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000012004_49168384.pth...
[2023-09-12 16:31:16,826][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000011260_46120960.pth
[2023-09-12 16:31:19,821][89374] Updated weights for policy 0, policy_version 12013 (0.0009)
[2023-09-12 16:31:23,160][89374] Updated weights for policy 0, policy_version 12023 (0.0008)
[2023-09-12 16:31:26,627][89374] Updated weights for policy 0, policy_version 12033 (0.0008)
[2023-09-12 16:31:29,985][89374] Updated weights for policy 0, policy_version 12043 (0.0008)
[2023-09-12 16:31:33,383][89374] Updated weights for policy 0, policy_version 12053 (0.0008)
[2023-09-12 16:31:36,761][89374] Updated weights for policy 0, policy_version 12063 (0.0009)
[2023-09-12 16:31:40,094][89374] Updated weights for policy 0, policy_version 12073 (0.0008)
[2023-09-12 16:31:43,536][89374] Updated weights for policy 0, policy_version 12083 (0.0008)
[2023-09-12 16:31:47,038][89374] Updated weights for policy 0, policy_version 12093 (0.0009)
[2023-09-12 16:31:50,400][89374] Updated weights for policy 0, policy_version 12103 (0.0009)
[2023-09-12 16:31:53,834][89374] Updated weights for policy 0, policy_version 12113 (0.0009)
[2023-09-12 16:31:57,222][89374] Updated weights for policy 0, policy_version 12123 (0.0008)
[2023-09-12 16:32:00,617][89374] Updated weights for policy 0, policy_version 12133 (0.0009)
[2023-09-12 16:32:03,984][89374] Updated weights for policy 0, policy_version 12143 (0.0009)
[2023-09-12 16:32:07,426][89374] Updated weights for policy 0, policy_version 12153 (0.0009)
[2023-09-12 16:32:10,756][89374] Updated weights for policy 0, policy_version 12163 (0.0010)
[2023-09-12 16:32:14,107][89374] Updated weights for policy 0, policy_version 12173 (0.0009)
[2023-09-12 16:32:17,568][89374] Updated weights for policy 0, policy_version 12183 (0.0009)
[2023-09-12 16:32:20,950][89374] Updated weights for policy 0, policy_version 12193 (0.0008)
[2023-09-12 16:32:24,292][89374] Updated weights for policy 0, policy_version 12203 (0.0009)
[2023-09-12 16:32:26,349][89073] Stopping Batcher_0...
[2023-09-12 16:32:26,349][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000012209_50008064.pth...
[2023-09-12 16:32:26,350][89073] Loop batcher_evt_loop terminating...
[2023-09-12 16:32:26,364][89378] Stopping RolloutWorker_w1...
[2023-09-12 16:32:26,364][89378] Loop rollout_proc1_evt_loop terminating...
[2023-09-12 16:32:26,364][89377] Stopping RolloutWorker_w2...
[2023-09-12 16:32:26,365][89377] Loop rollout_proc2_evt_loop terminating...
[2023-09-12 16:32:26,365][89379] Stopping RolloutWorker_w3...
[2023-09-12 16:32:26,365][89375] Stopping RolloutWorker_w0...
[2023-09-12 16:32:26,366][89375] Loop rollout_proc0_evt_loop terminating...
[2023-09-12 16:32:26,366][89379] Loop rollout_proc3_evt_loop terminating...
[2023-09-12 16:32:26,366][89382] Stopping RolloutWorker_w6...
[2023-09-12 16:32:26,366][89383] Stopping RolloutWorker_w7...
[2023-09-12 16:32:26,366][89380] Stopping RolloutWorker_w4...
[2023-09-12 16:32:26,366][89382] Loop rollout_proc6_evt_loop terminating...
[2023-09-12 16:32:26,366][89383] Loop rollout_proc7_evt_loop terminating...
[2023-09-12 16:32:26,366][89381] Stopping RolloutWorker_w5...
[2023-09-12 16:32:26,367][89380] Loop rollout_proc4_evt_loop terminating...
[2023-09-12 16:32:26,367][89381] Loop rollout_proc5_evt_loop terminating...
[2023-09-12 16:32:26,376][89374] Weights refcount: 2 0
[2023-09-12 16:32:26,379][89374] Stopping InferenceWorker_p0-w0...
[2023-09-12 16:32:26,379][89374] Loop inference_proc0-0_evt_loop terminating...
[2023-09-12 16:32:26,406][89073] Removing /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000011620_47595520.pth
[2023-09-12 16:32:26,413][89073] Saving /home/cogstack/Documents/optuna/environments/sample_factory/train_dir/default_experiment/checkpoint_p0/checkpoint_000012209_50008064.pth...
[2023-09-12 16:32:26,473][89073] Stopping LearnerWorker_p0...
[2023-09-12 16:32:26,474][89073] Loop learner_proc0_evt_loop terminating...
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