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Job 121716

Job ID121716
submission18530
userBence Haromi
user label005-0.8
challengeaido-LFI-real-validation
stepeval0
statusaborted
up to dateyes
evaluator33
date started
date completed
duration0:05:53
message
DEBUG:commons:versio [...]
DEBUG:commons:version: 6.2.4 *
DEBUG:typing:version: 6.2.3
DEBUG:nodes:version 6.2.13 path /usr/local/lib/python3.8/dist-packages pyparsing 2.4.6
DEBUG:ipce:version 6.1.2 path /usr/local/lib/python3.8/dist-packages
DEBUG:aido_schemas:aido-protocols version 6.0.59 path /usr/local/lib/python3.8/dist-packages
2021-12-08 07:59:31.603782: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.8/dist-packages/cv2/../../lib64:
2021-12-08 07:59:31.603802: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
DEBUG:duckietown_world:duckietown-world version 6.2.38 path /usr/local/lib/python3.8/dist-packages
DEBUG:geometry:PyGeometry-z6 version 2.1.4 path /usr/local/lib/python3.8/dist-packages
DEBUG:gym-duckietown:gym-duckietown version 6.1.31 path /code/gym-duckietown/src

2021-12-08 07:59:36.317970: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:939] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-12-08 07:59:36.318187: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.8/dist-packages/cv2/../../lib64:
2021-12-08 07:59:36.318291: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcublas.so.11'; dlerror: libcublas.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.8/dist-packages/cv2/../../lib64:
2021-12-08 07:59:36.318372: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcublasLt.so.11'; dlerror: libcublasLt.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.8/dist-packages/cv2/../../lib64:
2021-12-08 07:59:36.318441: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcufft.so.10'; dlerror: libcufft.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.8/dist-packages/cv2/../../lib64:
2021-12-08 07:59:36.318515: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcurand.so.10'; dlerror: libcurand.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.8/dist-packages/cv2/../../lib64:
2021-12-08 07:59:36.318590: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcusolver.so.11'; dlerror: libcusolver.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.8/dist-packages/cv2/../../lib64:
2021-12-08 07:59:36.318659: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcusparse.so.11'; dlerror: libcusparse.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.8/dist-packages/cv2/../../lib64:
2021-12-08 07:59:36.318732: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudnn.so.8'; dlerror: libcudnn.so.8: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.8/dist-packages/cv2/../../lib64:
2021-12-08 07:59:36.318742: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
DEBUG:nodes_wrapper:checking implementation
DEBUG:nodes_wrapper:checking implementation OK
DEBUG:nodes_wrapper.RLlibAgent:run_loop
  fin: /fifos/ego0-in
 fout: fifo:/fifos/ego0-out
DEBUG:nodes_wrapper:Fifo /fifos/ego0-out created. I will block until a reader appears.
DEBUG:nodes_wrapper:Fifo reader appeared for /fifos/ego0-out.
DEBUG:nodes_wrapper.RLlibAgent:Starting reading
 fi_desc: /fifos/ego0-in
 fo_desc: fifo:/fifos/ego0-out
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: init()
WARNING:config.config:Found paths with seed 5:
WARNING:config.config:0: ./models/TestPPO+DA_0005/Nov25_15-49-01/config_dump_0005.yml
WARNING:config.config:Found checkpoints in ./models/TestPPO+DA_0005/Nov25_15-49-01:
WARNING:config.config:0: ./models/TestPPO+DA_0005/Nov25_15-49-01/PPO_0_2021-11-25_15-49-04/checkpoint_000445/checkpoint-445
WARNING:config.config:1: ./models/TestPPO+DA_0005/Nov25_15-49-01/PPO_0_2021-11-25_15-49-04/checkpoint_000977/checkpoint-977
WARNING:config.config:Config loaded from ./models/TestPPO+DA_0005/Nov25_15-49-01/config_dump_0005.yml
WARNING:config.config:Model checkpoint loaded from ./models/TestPPO+DA_0005/Nov25_15-49-01/PPO_0_2021-11-25_15-49-04/checkpoint_000445/checkpoint-445
WARNING:config.config:Updating default config values by: 
 env_config:
  mode: inference

WARNING:config.config:Env_config.mode is 'inference', some hyperparameters will be overwritten by: 
 rllib_config:
  explore: false
  num_workers: 0
  num_gpus: 0
  callbacks: {}
ray_init_config:
  num_cpus: 1
  _memory: 2097152000
  object_store_memory: 209715200
  _redis_max_memory: 209715200
  local_mode: true

INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: === Wrappers ===================================
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: Observation wrappers
 <ClipImageWrapper<InconvenientSpawnFixingWrapper<DummyDuckietownGymLikeEnv instance>>>
<ResizeWrapper<ClipImageWrapper<InconvenientSpawnFixingWrapper<DummyDuckietownGymLikeEnv instance>>>>
<ObservationBufferWrapper<ResizeWrapper<ClipImageWrapper<InconvenientSpawnFixingWrapper<DummyDuckietownGymLikeEnv instance>>>>>
<NormalizeWrapper<ObservationBufferWrapper<ResizeWrapper<ClipImageWrapper<InconvenientSpawnFixingWrapper<DummyDuckietownGymLikeEnv instance>>>>>>
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: Action wrappers
 <Heading2WheelVelsWrapper<NormalizeWrapper<ObservationBufferWrapper<ResizeWrapper<ClipImageWrapper<InconvenientSpawnFixingWrapper<DummyDuckietownGymLikeEnv instance>>>>>>>
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: Reward wrappers
 <DtRewardPosAngle<Heading2WheelVelsWrapper<NormalizeWrapper<ObservationBufferWrapper<ResizeWrapper<ClipImageWrapper<InconvenientSpawnFixingWrapper<DummyDuckietownGymLikeEnv instance>>>>>>>>
<DtRewardVelocity<DtRewardPosAngle<Heading2WheelVelsWrapper<NormalizeWrapper<ObservationBufferWrapper<ResizeWrapper<ClipImageWrapper<InconvenientSpawnFixingWrapper<DummyDuckietownGymLikeEnv instance>>>>>>>>>
<DtRewardCollisionAvoidance<DtRewardVelocity<DtRewardPosAngle<Heading2WheelVelsWrapper<NormalizeWrapper<ObservationBufferWrapper<ResizeWrapper<ClipImageWrapper<InconvenientSpawnFixingWrapper<DummyDuckietownGymLikeEnv instance>>>>>>>>>>
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: === Config ===================================
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: seed: 5
experiment_name: TestPPO+DA
algo: PPO
algo_config_files:
  PPO: config/algo/ppo.yml
  general: config/algo/general.yml
env_config:
  mode: inference
  episode_max_steps: 500
  resized_input_shape:
  - 84
  - 84
  crop_image_top: true
  top_crop_divider: 3
  grayscale_image: false
  frame_stacking: true
  frame_stacking_depth: 3
  motion_blur: false
  action_type: heading
  reward_function: posangle
  distortion: true
  accepted_start_angle_deg: 4
  simulation_framerate: 30
  frame_skip: 1
  action_delay_ratio: 0.0
  training_map: multimap1
  domain_rand: false
  dynamics_rand: false
  camera_rand: false
  frame_repeating: 0.0
  spawn_obstacles: false
  obstacles:
    duckie:
      density: 0.5
      static: true
    duckiebot:
      density: 0
      static: false
  framework: torch
  spawn_forward_obstacle: false
  aido_wrapper: false
  wandb:
    project: dt21
  experiment_name: TestPPO+DA
  seed: 5
ray_init_config:
  num_cpus: 1
  num_gpus: 1
  object_store_memory: 209715200
  _memory: 2097152000
  _redis_max_memory: 209715200
  local_mode: true
restore_seed: -1
restore_experiment_idx: 0
restore_checkpoint_idx: 0
debug_hparams:
  rllib_config:
    num_workers: 1
    num_gpus: 0
  ray_init_config:
    num_cpus: 1
    _memory: 2097152000
    object_store_memory: 209715200
    _redis_max_memory: 209715200
    local_mode: true
inference_hparams:
  rllib_config:
    explore: false
    num_workers: 0
    num_gpus: 0
    callbacks: {}
  ray_init_config:
    num_cpus: 1
    _memory: 2097152000
    object_store_memory: 209715200
    _redis_max_memory: 209715200
    local_mode: true
timesteps_total: 1000000.0
rllib_config:
  num_workers: 0
  num_gpus: 0
  train_batch_size: 1024
  gamma: 0.99
  lr: 5.0e-05
  monitor: false
  evaluation_interval: 0
  evaluation_num_episodes: 2
  evaluation_config:
    monitor: false
  seed: 1234
  sgd_minibatch_size: 32
  vf_loss_coeff: 0.5
  entropy_coeff: 0.0
  clip_param: 0.2
  vf_clip_param: 0.2
  grad_clip: 0.5
  lambda: 0.95
  num_sgd_iter: 16
  framework: torch
  log_level: ERROR
  ignore_worker_failures: true
  env: Duckietown
  callbacks: {}
  env_config:
    mode: inference
    episode_max_steps: 500
    resized_input_shape:
    - 84
    - 84
    crop_image_top: true
    top_crop_divider: 3
    grayscale_image: false
    frame_stacking: true
    frame_stacking_depth: 3
    motion_blur: false
    action_type: heading
    reward_function: posangle
    distortion: true
    accepted_start_angle_deg: 4
    simulation_framerate: 30
    frame_skip: 1
    action_delay_ratio: 0.0
    training_map: multimap1
    domain_rand: false
    dynamics_rand: false
    camera_rand: false
    frame_repeating: 0.0
    spawn_obstacles: false
    obstacles:
      duckie:
        density: 0.5
        static: true
      duckiebot:
        density: 0
        static: false
    framework: torch
    spawn_forward_obstacle: false
    aido_wrapper: false
    wandb:
      project: dt21
    experiment_name: TestPPO+DA
    seed: 5
  explore: false

2021-12-08 07:59:36,695	WARNING services.py:1748 -- WARNING: The object store is using /tmp instead of /dev/shm because /dev/shm has only 67108864 bytes available. This will harm performance! You may be able to free up space by deleting files in /dev/shm. If you are inside a Docker container, you can increase /dev/shm size by passing '--shm-size=0.21gb' to 'docker run' (or add it to the run_options list in a Ray cluster config). Make sure to set this to more than 30% of available RAM.
2021-12-08 07:59:37,181	INFO logger.py:180 -- pip install 'ray[tune]' to see TensorBoard files.
2021-12-08 07:59:37,181	WARNING logger.py:325 -- Could not instantiate TBXLogger: No module named 'tensorboardX'.
2021-12-08 07:59:37,182	WARNING deprecation.py:38 -- DeprecationWarning: `monitor` has been deprecated. Use `record_env` instead. This will raise an error in the future!
2021-12-08 07:59:37,182	WARNING ppo.py:143 -- `train_batch_size` (1024) cannot be achieved with your other settings (num_workers=0 num_envs_per_worker=1 rollout_fragment_length=200)! Auto-adjusting `rollout_fragment_length` to 1024.
2021-12-08 07:59:37,182	INFO ppo.py:166 -- In multi-agent mode, policies will be optimized sequentially by the multi-GPU optimizer. Consider setting simple_optimizer=True if this doesn't work for you.
2021-12-08 07:59:37,182	INFO trainer.py:770 -- Current log_level is ERROR. For more information, set 'log_level': 'INFO' / 'DEBUG' or use the -v and -vv flags.
WARNING:duckietown_utils.env:Dummy Duckietown Gym reset() called!
2021-12-08 07:59:37,337	WARNING util.py:57 -- Install gputil for GPU system monitoring.
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: Restoring checkpoint from: ./models/TestPPO+DA_0005/Nov25_15-49-01/PPO_0_2021-11-25_15-49-04/checkpoint_000445/checkpoint-445
2021-12-08 07:59:37,360	INFO trainable.py:416 -- Restored on 172.17.0.2 from checkpoint: ./models/TestPPO+DA_0005/Nov25_15-49-01/PPO_0_2021-11-25_15-49-04/checkpoint_000445/checkpoint-445
2021-12-08 07:59:37,360	INFO trainable.py:424 -- Current state after restoring: {'_iteration': 445, '_timesteps_total': 0, '_time_total': 8838.157283067703, '_episodes_total': 1361}
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: Starting episode "episode"
INFO:aido_schemas: data: EpisodeStart(episode_name=episode)
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.667436
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 0.0
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.7041285
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 0.0
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.7041285
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.7291129
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.7369606
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.762472
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.7724032
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.762472
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.7724032
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.7958312
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.8034565
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.7958312
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.8034565
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.8291528
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.8365664
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.8291528
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.8365664
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.8636127
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.8684542
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.8636127
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.8684542
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.8957891
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.900972
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.8957891
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.900972
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.929084
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.9340353
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.929084
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.9340353
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.962444
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.9687562
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.962444
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950377.9687562
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.9984305
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.0064383
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950377.9984305
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.0064383
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.0291038
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.051119
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.0291038
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.051119
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.064607
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.0771737
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.064607
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.0771737
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.0957284
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.104012
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.0957284
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.104012
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.129164
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.1433244
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.129164
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.1433244
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.1625612
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.172001
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.1625612
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.172001
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.1957908
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.2033343
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.1957908
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INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.2624094
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.2711601
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.2624094
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.302176
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.2964535
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.302176
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.329358
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.3350656
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.329358
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.3350656
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.3624196
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.3699331
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.3624196
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.3699331
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.3986394
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.4060254
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.3986394
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.4060254
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.4291437
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950378.4379914
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950378.4291437
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INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950390.2320313
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950390.2166502
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950390.2320313
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950390.250008
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950390.2690983
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950390.2833157
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950390.3009589
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950390.2833157
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950390.3009589
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950390.3166883
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950390.3340664
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950390.3166883
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950390.3340664
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950390.3503625
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950390.3673854
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950390.3503625
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: camera timestamp: 1638950390.398176
INFO:nodes_wrapper.RLlibAgent.data:db1d70bc011d:RLlibAgent: odometry timestamp: 1638950390.3958452
*** SIGTERM received at time=1638950390 on cpu 5 ***
PC: @     0x7fee741b9178  (unknown)  (unknown)
    @     0x7fefda13f210  (unknown)  (unknown)
[2021-12-08 07:59:50,466 E 1 1] logging.cc:313: *** SIGTERM received at time=1638950390 on cpu 5 ***
[2021-12-08 07:59:50,468 E 1 1] logging.cc:313: PC: @     0x7fee741b9178  (unknown)  (unknown)
[2021-12-08 07:59:50,469 E 1 1] logging.cc:313:     @     0x7fefda13f210  (unknown)  (unknown)
obs shape: (84, 84, 9)
before obs shape: (480, 640, 3)
obs shape: (320, 640, 3)
obs shape: (84, 84, 3)
obs shape: (84, 84, 9)
obs shape: (84, 84, 9)
before obs shape: (480, 640, 3)
obs shape: (320, 640, 3)
obs shape: (84, 84, 3)
obs shape: (84, 84, 9)
obs shape: (84, 84, 9)
before obs shape: (480, 640, 3)
ERROR:nodes_wrapper.RLlibAgent:Error in node RLlibAgent
 ET: InternalProblem
 tb: |Traceback (most recent call last):
     |  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 416, in loop
     |    handle_message_node(parsed, receiver0, context0)
     |  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 589, in handle_message_node
     |    call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
     |  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/utils.py", line 21, in call_if_fun_exists
     |    f(**kwargs)
     |  File "/code/solution.py", line 89, in on_received_get_commands
     |    pwm_left, pwm_right = self.compute_action(self.current_image)*0.8
     |  File "/code/solution.py", line 79, in compute_action
     |    action = self.model.predict(observation)
     |  File "/code/model.py", line 70, in predict
     |    action = self.model.compute_action(observation, explore=False)
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/annotations.py", line 101, in _ctor
     |    return obj(*args, **kwargs)
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 1162, in compute_action
     |    return self.compute_single_action(*args, **kwargs)
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 1132, in compute_single_action
     |    action, state, extra = policy.compute_single_action(
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/policy.py", line 243, in compute_single_action
     |    out = self.compute_actions_from_input_dict(
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/torch_policy.py", line 302, in compute_actions_from_input_dict
     |    return self._compute_action_helper(input_dict, state_batches,
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/threading.py", line 21, in wrapper
     |    return func(self, *a, **k)
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/torch_policy.py", line 388, in _compute_action_helper
     |    extra_fetches = self.extra_action_out(input_dict, state_batches,
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/policy_template.py", line 350, in extra_action_out
     |    stats_dict = extra_action_out_fn(
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_torch_policy.py", line 175, in vf_preds_fetches
     |    SampleBatch.VF_PREDS: model.value_function(),
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/torch/visionnet.py", line 241, in value_function
     |    value = self._value_branch_separate(self._features)
     |  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
     |    return forward_call(*input, **kwargs)
     |  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 141, in forward
     |    input = module(input)
     |  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
     |    return forward_call(*input, **kwargs)
     |  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/torch/misc.py", line 118, in forward
     |    return self._model(x)
     |  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
     |    return forward_call(*input, **kwargs)
     |  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 141, in forward
     |    input = module(input)
     |  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
     |    return forward_call(*input, **kwargs)
     |  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/conv.py", line 446, in forward
     |    return self._conv_forward(input, self.weight, self.bias)
obs shape: (320, 640, 3)
obs shape: (84, 84, 3)
obs shape: (84, 84, 9)
obs shape: (84, 84, 9)
before obs shape: (480, 640, 3)
obs shape: (320, 640, 3)
obs shape: (84, 84, 3)
obs shape: (84, 84, 9)
obs shape: (84, 84, 9)
before obs shape: (480, 640, 3)
obs shape: (320, 640, 3)
obs shape: (84, 84, 3)
obs shape: (84, 84, 9)
obs shape: (84, 84, 9)
before obs shape: (480, 640, 3)
obs shape: (320, 640, 3)
obs shape: (84, 84, 3)
obs shape: (84, 84, 9)
obs shape: (84, 84, 9)
before obs shape: (480, 640, 3)
obs shape: (320, 640, 3)
obs shape: (84, 84, 3)
obs shape: (84, 84, 9)
obs shape: (84, 84, 9)
before obs shape: (480, 640, 3)
obs shape: (320, 640, 3)
obs shape: (84, 84, 3)
obs shape: (84, 84, 9)
obs shape: (84, 84, 9)
before obs shape: (480, 640, 3)
obs shape: (320, 640, 3)
obs shape: (84, 84, 3)
obs shape: (84, 84, 9)
obs shape: (84, 84, 9)
     |  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/conv.py", line 442, in _conv_forward
     |    return F.conv2d(input, weight, bias, self.stride,
     |  File "/usr/local/lib/python3.8/dist-packages/ray/worker.py", line 1027, in sigterm_handler
     |    sys.exit(signum)
     |SystemExit: 15
     |
     |The above exception was the direct cause of the following exception:
     |
     |Traceback (most recent call last):
     |  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 287, in run_loop
     |    loop(my_logger, node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin,
     |  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 434, in loop
     |    raise InternalProblem(msg) from e  # XXX
     |zuper_nodes.structures.InternalProblem: Exception while handling a message on topic "get_commands".
     |
     || Traceback (most recent call last):
     ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 416, in loop
     ||     handle_message_node(parsed, receiver0, context0)
     ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 589, in handle_message_node
     ||     call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
     ||   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/utils.py", line 21, in call_if_fun_exists
     ||     f(**kwargs)
     ||   File "/code/solution.py", line 89, in on_received_get_commands
     ||     pwm_left, pwm_right = self.compute_action(self.current_image)*0.8
     ||   File "/code/solution.py", line 79, in compute_action
     ||     action = self.model.predict(observation)
     ||   File "/code/model.py", line 70, in predict
     ||     action = self.model.compute_action(observation, explore=False)
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/annotations.py", line 101, in _ctor
     ||     return obj(*args, **kwargs)
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 1162, in compute_action
     ||     return self.compute_single_action(*args, **kwargs)
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 1132, in compute_single_action
     ||     action, state, extra = policy.compute_single_action(
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/policy.py", line 243, in compute_single_action
     ||     out = self.compute_actions_from_input_dict(
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/torch_policy.py", line 302, in compute_actions_from_input_dict
     ||     return self._compute_action_helper(input_dict, state_batches,
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/threading.py", line 21, in wrapper
     ||     return func(self, *a, **k)
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/torch_policy.py", line 388, in _compute_action_helper
     ||     extra_fetches = self.extra_action_out(input_dict, state_batches,
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/policy_template.py", line 350, in extra_action_out
     ||     stats_dict = extra_action_out_fn(
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_torch_policy.py", line 175, in vf_preds_fetches
     ||     SampleBatch.VF_PREDS: model.value_function(),
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/torch/visionnet.py", line 241, in value_function
     ||     value = self._value_branch_separate(self._features)
     ||   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
     ||     return forward_call(*input, **kwargs)
     ||   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 141, in forward
     ||     input = module(input)
     ||   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
     ||     return forward_call(*input, **kwargs)
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/torch/misc.py", line 118, in forward
     ||     return self._model(x)
     ||   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
     ||     return forward_call(*input, **kwargs)
     ||   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 141, in forward
     ||     input = module(input)
     ||   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
     ||     return forward_call(*input, **kwargs)
     ||   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/conv.py", line 446, in forward
     ||     return self._conv_forward(input, self.weight, self.bias)
     ||   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/conv.py", line 442, in _conv_forward
     ||     return F.conv2d(input, weight, bias, self.stride,
     ||   File "/usr/local/lib/python3.8/dist-packages/ray/worker.py", line 1027, in sigterm_handler
     ||     sys.exit(signum)
     || SystemExit: 15
     ||
     |
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 416, in loop
    handle_message_node(parsed, receiver0, context0)
  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 589, in handle_message_node
    call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/utils.py", line 21, in call_if_fun_exists
    f(**kwargs)
  File "/code/solution.py", line 89, in on_received_get_commands
    pwm_left, pwm_right = self.compute_action(self.current_image)*0.8
  File "/code/solution.py", line 79, in compute_action
    action = self.model.predict(observation)
  File "/code/model.py", line 70, in predict
    action = self.model.compute_action(observation, explore=False) 
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/annotations.py", line 101, in _ctor
    return obj(*args, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 1162, in compute_action
    return self.compute_single_action(*args, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 1132, in compute_single_action
    action, state, extra = policy.compute_single_action(
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/policy.py", line 243, in compute_single_action
    out = self.compute_actions_from_input_dict(
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/torch_policy.py", line 302, in compute_actions_from_input_dict
    return self._compute_action_helper(input_dict, state_batches,
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/threading.py", line 21, in wrapper
    return func(self, *a, **k)
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/torch_policy.py", line 388, in _compute_action_helper
    extra_fetches = self.extra_action_out(input_dict, state_batches,
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/policy_template.py", line 350, in extra_action_out
    stats_dict = extra_action_out_fn(
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_torch_policy.py", line 175, in vf_preds_fetches
    SampleBatch.VF_PREDS: model.value_function(),
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/torch/visionnet.py", line 241, in value_function
    value = self._value_branch_separate(self._features)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
    return forward_call(*input, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 141, in forward
    input = module(input)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
    return forward_call(*input, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/torch/misc.py", line 118, in forward
    return self._model(x)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
    return forward_call(*input, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 141, in forward
    input = module(input)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
    return forward_call(*input, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/conv.py", line 446, in forward
    return self._conv_forward(input, self.weight, self.bias)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/conv.py", line 442, in _conv_forward
    return F.conv2d(input, weight, bias, self.stride,
  File "/usr/local/lib/python3.8/dist-packages/ray/worker.py", line 1027, in sigterm_handler
    sys.exit(signum)
SystemExit: 15

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 287, in run_loop
    loop(my_logger, node_name, fi, fo, node, protocol, tin, tout, config=config, fi_desc=fin,
  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 434, in loop
    raise InternalProblem(msg) from e  # XXX
zuper_nodes.structures.InternalProblem: Exception while handling a message on topic "get_commands".

| Traceback (most recent call last):
|   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 416, in loop
|     handle_message_node(parsed, receiver0, context0)
|   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 589, in handle_message_node
|     call_if_fun_exists(agent, expect_fn, data=ob, context=context, timing=timing)
|   File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/utils.py", line 21, in call_if_fun_exists
|     f(**kwargs)
|   File "/code/solution.py", line 89, in on_received_get_commands
|     pwm_left, pwm_right = self.compute_action(self.current_image)*0.8
|   File "/code/solution.py", line 79, in compute_action
|     action = self.model.predict(observation)
|   File "/code/model.py", line 70, in predict
|     action = self.model.compute_action(observation, explore=False)
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/annotations.py", line 101, in _ctor
|     return obj(*args, **kwargs)
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 1162, in compute_action
|     return self.compute_single_action(*args, **kwargs)
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/trainer.py", line 1132, in compute_single_action
|     action, state, extra = policy.compute_single_action(
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/policy.py", line 243, in compute_single_action
|     out = self.compute_actions_from_input_dict(
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/torch_policy.py", line 302, in compute_actions_from_input_dict
|     return self._compute_action_helper(input_dict, state_batches,
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/utils/threading.py", line 21, in wrapper
|     return func(self, *a, **k)
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/torch_policy.py", line 388, in _compute_action_helper
|     extra_fetches = self.extra_action_out(input_dict, state_batches,
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/policy/policy_template.py", line 350, in extra_action_out
|     stats_dict = extra_action_out_fn(
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/agents/ppo/ppo_torch_policy.py", line 175, in vf_preds_fetches
|     SampleBatch.VF_PREDS: model.value_function(),
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/torch/visionnet.py", line 241, in value_function
|     value = self._value_branch_separate(self._features)
|   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
|     return forward_call(*input, **kwargs)
|   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 141, in forward
|     input = module(input)
|   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
|     return forward_call(*input, **kwargs)
|   File "/usr/local/lib/python3.8/dist-packages/ray/rllib/models/torch/misc.py", line 118, in forward
|     return self._model(x)
|   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
|     return forward_call(*input, **kwargs)
|   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 141, in forward
|     input = module(input)
|   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
|     return forward_call(*input, **kwargs)
|   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/conv.py", line 446, in forward
|     return self._conv_forward(input, self.weight, self.bias)
|   File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/conv.py", line 442, in _conv_forward
|     return F.conv2d(input, weight, bias, self.stride,
|   File "/usr/local/lib/python3.8/dist-packages/ray/worker.py", line 1027, in sigterm_handler
|     sys.exit(signum)
| SystemExit: 15
| 

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/usr/local/bin/node-launch", line 8, in <module>
    sys.exit(launcher_main())
  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/launcher.py", line 123, in launcher_main
    return wrap_direct(node=node, protocol=protocol, args=[])
  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/interface.py", line 25, in wrap_direct
    run_loop(node, protocol, args)
  File "/usr/local/lib/python3.8/dist-packages/zuper_nodes_wrapper/wrapper.py", line 301, in run_loop
    raise Exception(msg) from e
Exception: Error in node RLlibAgent
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