Job ID step status up to date date started date completed duration message 61532
eval2-videos success yes 2020-12-12 18:28:56+00:00 2020-12-12 18:33:00+00:00 0:04:04 all ok, 10 bags proc [...] all ok, 10 bags processed
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eval2-visualize success yes 2020-12-12 18:28:54+00:00 2020-12-12 18:33:46+00:00 0:04:52 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec 0.8808993997376025 survival_time 21.955139636993408 deviation-center-line 0.3606968420176515 in-drivable-lane 16.262510299682617
other stats deviation-heading 2.577711256266747 driven_any 2.1476539002601034 driven_lanedir 1.0852682560297218 visualized-eval2-passed 1
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eval0-videos success yes 2020-12-12 18:28:54+00:00 2020-12-12 18:31:21+00:00 0:02:27 all ok, 10 bags proc [...] all ok, 10 bags processed
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eval0-visualize success yes 2020-12-12 18:28:54+00:00 2020-12-12 18:32:00+00:00 0:03:06 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec 0.4263790947438664 survival_time 7.606874704360962 deviation-center-line 0.26885602635013406 in-drivable-lane 4.336622397104899
other stats deviation-heading 1.5955197918692836 driven_any 1.3675905362741132 driven_lanedir 0.6241012271440511 visualized-eval0-passed 1
No reset possible 61527
eval1-videos success yes 2020-12-12 18:28:52+00:00 2020-12-12 18:33:15+00:00 0:04:23 all ok, 10 bags proc [...] all ok, 10 bags processed
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eval1-visualize success yes 2020-12-12 18:28:52+00:00 2020-12-12 18:34:41+00:00 0:05:49 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
driven_lanedir_consec 0.3491568265613338 survival_time 24.77944238980611 deviation-center-line 0.6295014489980496 in-drivable-lane 18.2370928923289
other stats deviation-heading 4.153190438050273 driven_any 1.711770155422782 driven_lanedir 0.3491568265613338 visualized-eval1-passed 1
No reset possible 61435
eval0-visualize success no 2020-12-12 13:56:49+00:00 2020-12-12 13:59:25+00:00 0:02:36 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
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eval2-videos success no 2020-12-12 13:56:12+00:00 2020-12-12 13:59:51+00:00 0:03:39 all ok, 10 bags proc [...] all ok, 10 bags processed
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eval1-visualize success no 2020-12-12 13:53:00+00:00 2020-12-12 13:58:49+00:00 0:05:49 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
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eval1-videos success no 2020-12-12 13:52:36+00:00 2020-12-12 13:56:25+00:00 0:03:49 all ok, 10 bags proc [...] all ok, 10 bags processed
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eval2-visualize success no 2020-12-12 13:52:05+00:00 2020-12-12 13:57:31+00:00 0:05:26 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
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eval0-videos success no 2020-12-12 13:52:01+00:00 2020-12-12 13:56:48+00:00 0:04:47 all ok, 10 bags proc [...] all ok, 10 bags processed
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eval2-videos host-error no 2020-12-12 13:51:38+00:00 2020-12-12 13:55:23+00:00 0:03:45 Uncaught exception:
[...] Uncaught exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.8/dist-packages/duckietown_challenges_runner/docker_compose.py", line 53, in get_services_id
container = client.containers.get(container_id)
File "/usr/local/lib/python3.8/dist-packages/docker/models/containers.py", line 880, in get
resp = self.client.api.inspect_container(container_id)
File "/usr/local/lib/python3.8/dist-packages/docker/utils/decorators.py", line 16, in wrapped
raise errors.NullResource(
docker.errors.NullResource: Resource ID was not provided
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.8/dist-packages/duckietown_challenges_runner/runner.py", line 745, in get_cr
cr = run_single(
File "/usr/local/lib/python3.8/dist-packages/duckietown_challenges_runner/runner.py", line 959, in run_single
write_logs(wd, project, services=config["services"])
File "/usr/local/lib/python3.8/dist-packages/duckietown_challenges_runner/docker_compose.py", line 120, in write_logs
services2id: Dict[ServiceName, ContainerID] = get_services_id(wd, project, services)
File "/usr/local/lib/python3.8/dist-packages/duckietown_challenges_runner/docker_compose.py", line 63, in get_services_id
raise DockerComposeFail(msg, output=output.decode(), names=names) from e
duckietown_challenges_runner.docker_compose.DockerComposeFail: Cannot get process ids
│ output: ''
│ names: {}
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eval0-visualize host-error no 2020-12-12 13:51:35+00:00 2020-12-12 13:54:57+00:00 0:03:22 Uncaught exception:
[...] Uncaught exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.8/dist-packages/duckietown_challenges_runner/docker_compose.py", line 53, in get_services_id
container = client.containers.get(container_id)
File "/usr/local/lib/python3.8/dist-packages/docker/models/containers.py", line 880, in get
resp = self.client.api.inspect_container(container_id)
File "/usr/local/lib/python3.8/dist-packages/docker/utils/decorators.py", line 16, in wrapped
raise errors.NullResource(
docker.errors.NullResource: Resource ID was not provided
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.8/dist-packages/duckietown_challenges_runner/runner.py", line 745, in get_cr
cr = run_single(
File "/usr/local/lib/python3.8/dist-packages/duckietown_challenges_runner/runner.py", line 959, in run_single
write_logs(wd, project, services=config["services"])
File "/usr/local/lib/python3.8/dist-packages/duckietown_challenges_runner/docker_compose.py", line 120, in write_logs
services2id: Dict[ServiceName, ContainerID] = get_services_id(wd, project, services)
File "/usr/local/lib/python3.8/dist-packages/duckietown_challenges_runner/docker_compose.py", line 63, in get_services_id
raise DockerComposeFail(msg, output=output.decode(), names=names) from e
duckietown_challenges_runner.docker_compose.DockerComposeFail: Cannot get process ids
│ output: ''
│ names: {}
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eval2-videos success no 2020-12-12 11:24:13+00:00 2020-12-12 11:29:03+00:00 0:04:50 all ok, 10 bags proc [...] all ok, 10 bags processed
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eval2-visualize success no 2020-12-12 11:24:12+00:00 2020-12-12 11:30:17+00:00 0:06:05 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 61294
eval2 success yes 2020-12-12 11:12:11+00:00 2020-12-12 11:22:07+00:00 0:09:56 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 61247
eval1-visualize success no 2020-12-12 10:53:42+00:00 2020-12-12 10:59:05+00:00 0:05:23 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
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eval0-visualize success no 2020-12-12 10:53:42+00:00 2020-12-12 10:56:22+00:00 0:02:40 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
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eval1-videos success no 2020-12-12 10:51:26+00:00 2020-12-12 10:56:15+00:00 0:04:49 all ok, 10 bags proc [...] all ok, 10 bags processed
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eval1 success yes 2020-12-12 10:34:35+00:00 2020-12-12 10:44:46+00:00 0:10:11 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
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eval1 aborted yes 2020-12-12 10:17:39+00:00 2020-12-12 10:27:32+00:00 0:09:53 DEBUG:commons:versio [...] DEBUG:commons:version: 6.1.7 *
INFO:typing:version: 6.1.8
DEBUG:aido_schemas:aido-protocols version 6.0.33 path /usr/local/lib/python3.8/dist-packages
INFO:nodes:version 6.1.1 path /usr/local/lib/python3.8/dist-packages pyparsing 2.4.6
WARNING:tensorflow:From /usr/local/lib/python3.8/dist-packages/tensorflow/python/compat/v2_compat.py:96: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.
Instructions for updating:
non-resource variables are not supported in the long term
DEBUG:ipce:version 6.0.36 path /usr/local/lib/python3.8/dist-packages
INFO:nodes_wrapper:checking implementation
INFO:nodes_wrapper:checking implementation OK
DEBUG:nodes_wrapper:run_loop
fin: /fifos/ego2-in
fout: fifo:/fifos/ego2-out
INFO:nodes_wrapper:Fifo /fifos/ego2-out created. I will block until a reader appears.
INFO:nodes_wrapper:Fifo reader appeared for /fifos/ego2-out.
INFO:nodes_wrapper:Node RLlibAgent starting reading
fi_desc: /fifos/ego2-in
fo_desc: fifo:/fifos/ego2-out
INFO:nodes_wrapper:56d0fd0d7c9a:RLlibAgent: PytorchRllibAgent init
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:
num_workers: 0
num_gpus: 0
callbacks: {}
ray_init_config:
num_cpus: 1
object_store_memory: 209715200
local_mode: true
INFO:nodes_wrapper:56d0fd0d7c9a:RLlibAgent: === Wrappers ===================================
INFO:nodes_wrapper:56d0fd0d7c9a:RLlibAgent: Observation wrappers
<ResizeWrapper<DummyDuckietownGymLikeEnv instance>>
<RGB2BGRWrapper<ResizeWrapper<DummyDuckietownGymLikeEnv instance>>>
<SegmentObsWrapper<RGB2BGRWrapper<ResizeWrapper<DummyDuckietownGymLikeEnv instance>>>>
<ResizeWrapper<SegmentObsWrapper<RGB2BGRWrapper<ResizeWrapper<DummyDuckietownGymLikeEnv instance>>>>>
<ObservationBufferWrapper<ResizeWrapper<SegmentObsWrapper<RGB2BGRWrapper<ResizeWrapper<DummyDuckietownGymLikeEnv instance>>>>>>
<NormalizeWrapper<ObservationBufferWrapper<ResizeWrapper<SegmentObsWrapper<RGB2BGRWrapper<ResizeWrapper<DummyDuckietownGymLikeEnv instance>>>>>>>
INFO:nodes_wrapper:56d0fd0d7c9a:RLlibAgent: Action wrappers
<Heading2WheelVelsWrapper<NormalizeWrapper<ObservationBufferWrapper<ResizeWrapper<SegmentObsWrapper<RGB2BGRWrapper<ResizeWrapper<DummyDuckietownGymLikeEnv instance>>>>>>>>
INFO:nodes_wrapper:56d0fd0d7c9a:RLlibAgent: Reward wrappers
<DtRewardPosAngle<Heading2WheelVelsWrapper<NormalizeWrapper<ObservationBufferWrapper<ResizeWrapper<SegmentObsWrapper<RGB2BGRWrapper<ResizeWrapper<DummyDuckietownGymLikeEnv instance>>>>>>>>>
<DtRewardVelocity<DtRewardPosAngle<Heading2WheelVelsWrapper<NormalizeWrapper<ObservationBufferWrapper<ResizeWrapper<SegmentObsWrapper<RGB2BGRWrapper<ResizeWrapper<DummyDuckietownGymLikeEnv instance>>>>>>>>>>
<DtRewardCollisionAvoidance<DtRewardVelocity<DtRewardPosAngle<Heading2WheelVelsWrapper<NormalizeWrapper<ObservationBufferWrapper<ResizeWrapper<SegmentObsWrapper<RGB2BGRWrapper<ResizeWrapper<DummyDuckietownGymLikeEnv instance>>>>>>>>>>>
INFO:nodes_wrapper:56d0fd0d7c9a:RLlibAgent: === Config ===================================
INFO:nodes_wrapper:56d0fd0d7c9a:RLlibAgent: seed: 3626
experiment_name: Run_20201207-082043
algo: PPO
algo_config_files:
PPO: config/algo/ppo.yml
general: config/algo/general.yml
DDPG: config/algo/ddpq.yml
APEX: config/algo/apex.yml
IMPALA: config/algo/impala.yaml
SAC: config/algo/sac.yml
env_config:
mode: inference
episode_max_steps: 500
resized_input_shape: (84, 84)
crop_image_top: false
top_crop_divider: 3
grayscale_image: false
frame_stacking: true
frame_stacking_depth: 3
motion_blur: false
segment: true
action_type: heading
reward_function: posangle
distortion: true
accepted_start_angle_deg: 15
simulation_framerate: 20
frame_skip: 2
action_delay_ratio: 0.3
training_map: multimap1
domain_rand: true
dynamics_rand: true
camera_rand: true
frame_repeating: 0.15
spawn_obstacles: false
obstacles:
duckie:
density: 0.1
static: false
duckiebot:
density: 0.0
static: true
spawn_forward_obstacle: false
wandb:
project: duckietown-rllib
experiment_name: Run_20201207-082043
seed: 3626
ray_init_config:
num_cpus: 1
object_store_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
object_store_memory: 209715200
local_mode: true
inference_hparams:
rllib_config:
num_workers: 0
num_gpus: 0
callbacks: {}
ray_init_config:
num_cpus: 1
object_store_memory: 209715200
local_mode: true
timesteps_total: 2500000.0
rllib_config:
num_workers: 0
num_gpus: 0
num_gpus_per_worker: 0.05
train_batch_size: 4096
gamma: 0.988
lr: 5.0e-05
monitor: false
evaluation_interval: 40
evaluation_num_episodes: 3
evaluation_config:
monitor: true
seed: 42
lambda: 0.9
sgd_minibatch_size: 128
vf_loss_coeff: 0.5
entropy_coeff: 0.0
clip_param: 0.24
vf_clip_param: 300
grad_clip: 0.5
framework: torch
env: Duckietown
callbacks: {}
env_config:
mode: inference
episode_max_steps: 500
resized_input_shape: (84, 84)
crop_image_top: false
top_crop_divider: 3
grayscale_image: false
frame_stacking: true
frame_stacking_depth: 3
motion_blur: false
segment: true
action_type: heading
reward_function: posangle
distortion: true
accepted_start_angle_deg: 15
simulation_framerate: 20
frame_skip: 2
action_delay_ratio: 0.3
training_map: multimap1
domain_rand: true
dynamics_rand: true
camera_rand: true
frame_repeating: 0.15
spawn_obstacles: false
obstacles:
duckie:
density: 0.1
static: false
duckiebot:
density: 0.0
static: true
spawn_forward_obstacle: false
wandb:
project: duckietown-rllib
experiment_name: Run_20201207-082043
seed: 3626
logger_config:
wandb:
project: duckietown-rllib
name: Run_20201207-082043
2020-12-12 10:24:08,390 INFO services.py:1090 -- View the Ray dashboard at http://127.0.0.1:8265
2020-12-12 10:24:08,394 WARNING services.py:1552 -- WARNING: The object store is using /tmp instead of /dev/shm because /dev/shm has only 67108864 bytes available. This may slow down performance! You may be able to free up space by deleting files in /dev/shm or terminating any running plasma_store_server processes. If you are inside a Docker container, you may need to pass an argument with the flag '--shm-size' to 'docker run'.
2020-12-12 10:24:10,418 ERROR syncer.py:63 -- Log sync requires rsync to be installed.
2020-12-12 10:24:10,475 INFO trainer.py:617 -- Current log_level is WARN. For more information, set 'log_level': 'INFO' / 'DEBUG' or use the -v and -vv flags.
/usr/local/lib/python3.8/dist-packages/gym/logger.py:30: UserWarning: WARN: Trying to monitor an environment which has no 'spec' set. This usually means you did not create it via 'gym.make', and is recommended only for advanced users.
warnings.warn(colorize('%s: %s'%('WARN', msg % args), 'yellow'))
2020-12-12 10:24:10,742 WARNING util.py:40 -- Install gputil for GPU system monitoring.
INFO:nodes_wrapper:56d0fd0d7c9a:RLlibAgent: Restoring checkpoint from: models/checkpoint-316
2020-12-12 10:24:10,802 INFO trainable.py:481 -- Restored on 172.17.0.6 from checkpoint: models/checkpoint-316
2020-12-12 10:24:10,803 INFO trainable.py:489 -- Current state after restoring: {'_iteration': 316, '_timesteps_total': None, '_time_total': 67590.32456445694, '_episodes_total': 9668}
INFO:nodes_wrapper:56d0fd0d7c9a:RLlibAgent: PytorchRllibAgent init complete
INFO:nodes_wrapper:56d0fd0d7c9a:RLlibAgent: Starting episode "episode".
*** Aborted at 1607768712 (unix time) try "date -d @1607768712" if you are using GNU date ***
PC: @ 0x0 (unknown)
*** SIGTERM (@0x0) received by PID 1 (TID 0x7f8e8f48c740) from PID 0; stack trace: ***
@ 0x7f8e8f69e210 (unknown)
@ 0x7f8dee9f06a0 (unknown)
@ 0x7f8df00828b8 torch::autograd::VariableType::(anonymous namespace)::mul_Tensor()
@ 0x7f8dee1f6ef0 c10::impl::wrap_kernel_functor_unboxed_<>::call()
@ 0x7f8deeb0691b c10::Dispatcher::callWithDispatchKey<>()
@ 0x7f8deec46f1c at::Tensor::mul()
@ 0x7f8dfe63cedb torch::autograd::THPVariable_mul()
@ 0x7f8dfe63d6a6 torch::autograd::TypeError_to_NotImplemented_<>()
@ 0x503a29 (unknown)
@ 0x5749f8 (unknown)
@ 0x5f2f15 _PyObject_FastCall_Prepend
@ 0x5fd39f (unknown)
@ 0x69de89 (unknown)
@ 0x50f79b PyNumber_Multiply
@ 0x56bced _PyEval_EvalFrameDefault
@ 0x5f7146 _PyFunction_Vectorcall
@ 0x56b399 _PyEval_EvalFrameDefault
@ 0x50a14e (unknown)
@ 0x570286 _PyEval_EvalFrameDefault
@ 0x56955a _PyEval_EvalCodeWithName
@ 0x5f7323 _PyFunction_Vectorcall
@ 0x56b399 _PyEval_EvalFrameDefault
@ 0x5f7146 _PyFunction_Vectorcall
@ 0x56b399 _PyEval_EvalFrameDefault
@ 0x5f7146 _PyFunction_Vectorcall
@ 0x56b399 _PyEval_EvalFrameDefault
@ 0x56955a _PyEval_EvalCodeWithName
@ 0x50a2c0 (unknown)
@ 0x56c451 _PyEval_EvalFrameDefault
@ 0x5f7146 _PyFunction_Vectorcall
@ 0x56b399 _PyEval_EvalFrameDefault
@ 0x56955a _PyEval_EvalCodeWithName
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eval0-videos success no 2020-12-12 10:00:25+00:00 2020-12-12 10:02:45+00:00 0:02:20 all ok, 10 bags proc [...] all ok, 10 bags processed
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eval0-videos success no 2020-12-12 09:58:19+00:00 2020-12-12 09:59:44+00:00 0:01:25 all ok, 10 bags proc [...] all ok, 10 bags processed
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No reset possible 61054
eval0-visualize success no 2020-12-12 09:55:48+00:00 2020-12-12 09:58:06+00:00 0:02:18 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible 61025
eval0 success yes 2020-12-12 09:40:40+00:00 2020-12-12 09:49:56+00:00 0:09:16 Artefacts hidden. If you are the author, please login using the top-right link or use the dashboard.
No reset possible