Comments (4)
hartikainen
commented on August 30, 2024
Seems like the get_git_rev can't find the git repo. Can you try (and post the output of) the following:
- Insert a breakpoint (
import pdb; pdb.set_trace()) right before that line. What are the arguments to that function (print(path, search_parent_directories))? - Do you have a
.gitfolder present at the project root?ls -la /home/surabhi/Downloads/github/softlearning-master/
from softlearning.
surbhi1944
commented on August 30, 2024
There is no .git folder. should i create an empty .git folder?
from softlearning.
hartikainen
commented on August 30, 2024
Okay, that sounds like a problem. How did you download the softlearning repository? I would recommend downloading it via git clone such that the .git gets included. See 3) in https://github.com/rail-berkeley/softlearning#conda-installation for instructions.
If, for whatever reason, you want to install it without git (I highly suggest not doing this), you'd have to manually patch the get_git_rev to not fail on missing git repository info.
I'll close this for now. Feel free to open another issue if other problems arise.
from softlearning.
surbhi1944
commented on August 30, 2024
Hello sir,
thankyou for reply,
I tried and again downloaded the repository but now i am getting 'Trials did not complete' error. Please suggest some solution.
The Complete Error Message is:
==========================================================
(softlearning) surabhi@surabhi-Vostro-3559:~/Downloads/github/softlearning$ softlearning run_example_local examples.development --universe=gym --domain=HalfCheetah --task=v3 --exp-name=my-sac-experiment-1 --checkpoint-frequency=1000
/home/surabhi/.local/lib/python3.6/site-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.25.1) or chardet (3.0.4) doesn't match a supported version!
RequestsDependencyWarning)
WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:
* https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
* https://github.com/tensorflow/addons
If you depend on functionality not listed there, please file an issue.
WARNING: Logging before flag parsing goes to stderr.
I0615 04:36:45.514044 140073955813120 __init__.py:34] MuJoCo library version is: 200
2019-06-15 04:36:45,621 INFO node.py:498 -- Process STDOUT and STDERR is being redirected to /tmp/ray/session_2019-06-15_04-36-45_621187_9030/logs.
2019-06-15 04:36:45,731 INFO services.py:409 -- Waiting for redis server at 127.0.0.1:51785<http://127.0.0.1:51785/> to respond...
2019-06-15 04:36:45,856 INFO services.py:409 -- Waiting for redis server at 127.0.0.1:43790<http://127.0.0.1:43790/> to respond...
2019-06-15 04:36:45,860 INFO services.py:806 -- Starting Redis shard with 0.81 GB max memory.
2019-06-15 04:36:45,898 INFO node.py:512 -- Process STDOUT and STDERR is being redirected to /tmp/ray/session_2019-06-15_04-36-45_621187_9030/logs.
2019-06-15 04:36:45,899 INFO services.py:1442 -- Starting the Plasma object store with 1.21 GB memory using /dev/shm.
2019-06-15 04:36:46,022 INFO tune.py:65 -- Did not find checkpoint file in /home/surabhi/ray_results/gym/HalfCheetah/v3/2019-06-15T04-36-45-my-sac-experiment-1.
2019-06-15 04:36:46,022 INFO tune.py:232 -- Starting a new experiment.
2019-06-15 04:36:46,027 INFO web_server.py:241 -- Starting Tune Server...
== Status ==
Using FIFO scheduling algorithm.
Resources requested: 0/4 CPUs, 0/0 GPUs
Memory usage on this node: 2.6/4.0 GB
2019-06-15 04:36:46,779 WARNING util.py:64 -- The `start_trial` operation took 0.7297773361206055 seconds to complete, which may be a performance bottleneck.
== Status ==
Using FIFO scheduling algorithm.
Resources requested: 4/4 CPUs, 0/0 GPUs
Memory usage on this node: 2.7/4.0 GB
Result logdir: /home/surabhi/ray_results/gym/HalfCheetah/v3/2019-06-15T04-36-45-my-sac-experiment-1
Number of trials: 1 ({'RUNNING': 1})
RUNNING trials:
- id=14eb5e74-seed=221: RUNNING
(pid=9082) /home/surabhi/.local/lib/python3.6/site-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.25.1) or chardet (3.0.4) doesn't match a supported version!
(pid=9082) RequestsDependencyWarning)
(pid=9082)
(pid=9082) WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0.
(pid=9082) For more information, please see:
(pid=9082) * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
(pid=9082) * https://github.com/tensorflow/addons
(pid=9082) If you depend on functionality not listed there, please file an issue.
(pid=9082)
(pid=9082) Using seed 221
(pid=9082) 2019-06-15 04:36:50.109066: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
(pid=9082) 2019-06-15 04:36:50.114858: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2400000000 Hz
(pid=9082) 2019-06-15 04:36:50.115111: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x562f555f1110 executing computations on platform Host. Devices:
(pid=9082) 2019-06-15 04:36:50.115134: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): <undefined>, <undefined>
(pid=9082) WARNING:tensorflow:From /home/surabhi/.local/lib/python3.6/site-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
(pid=9082) Instructions for updating:
(pid=9082) Colocations handled automatically by placer.
(pid=9082) WARNING: Logging before flag parsing goes to stderr.
(pid=9082) W0615 04:36:50.157908 140696037508864 deprecation.py:323] From /home/surabhi/.local/lib/python3.6/site-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
(pid=9082) Instructions for updating:
(pid=9082) Colocations handled automatically by placer.
2019-06-15 04:36:50,263 ERROR trial_runner.py:487 -- Error processing event.
Traceback (most recent call last):
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/tune/trial_runner.py", line 436, in _process_trial
result = self.trial_executor.fetch_result(trial)
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/tune/ray_trial_executor.py", line 323, in fetch_result
result = ray.get(trial_future[0])
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/worker.py", line 2189, in get
raise value
ray.exceptions.RayTaskError: ray_ExperimentRunner:train() (pid=9082, host=surabhi-Vostro-3559)
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/tune/trainable.py", line 151, in train
result = self._train()
File "/home/surabhi/Downloads/github/softlearning/examples/development/main.py", line 82, in _train
self._build()
File "/home/surabhi/Downloads/github/softlearning/examples/development/main.py", line 59, in _build
variant, training_environment)
File "/home/surabhi/Downloads/github/softlearning/softlearning/policies/utils.py", line 75, in get_policy_from_variant
return get_policy_from_params(policy_params, *args, **kwargs)
File "/home/surabhi/Downloads/github/softlearning/softlearning/policies/utils.py", line 68, in get_policy_from_params
**kwargs)
File "/home/surabhi/Downloads/github/softlearning/softlearning/policies/utils.py", line 10, in get_gaussian_policy
policy = FeedforwardGaussianPolicy(*args, **kwargs)
File "/home/surabhi/Downloads/github/softlearning/softlearning/policies/gaussian_policy.py", line 226, in __init__
self._Serializable__initialize(locals())
AttributeError: 'FeedforwardGaussianPolicy' object has no attribute '_Serializable__initialize'
2019-06-15 04:36:50,264 INFO ray_trial_executor.py:187 -- Destroying actor for trial id=14eb5e74-seed=221. If your trainable is slow to initialize, consider setting reuse_actors=True to reduce actor creation overheads.
2019-06-15 04:36:50,266 INFO trial_runner.py:524 -- Attempting to recover trial state from last checkpoint.
(pid=9083) /home/surabhi/.local/lib/python3.6/site-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.25.1) or chardet (3.0.4) doesn't match a supported version!
(pid=9083) RequestsDependencyWarning)
(pid=9083)
(pid=9083) WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0.
(pid=9083) For more information, please see:
(pid=9083) * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
(pid=9083) * https://github.com/tensorflow/addons
(pid=9083) If you depend on functionality not listed there, please file an issue.
(pid=9083)
(pid=9083) 2019-06-15 04:36:53.790710: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
(pid=9083) 2019-06-15 04:36:53.794906: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2400000000 Hz
(pid=9083) 2019-06-15 04:36:53.795049: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x557721f5e310 executing computations on platform Host. Devices:
(pid=9083) 2019-06-15 04:36:53.795068: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): <undefined>, <undefined>
(pid=9083) Using seed 221
(pid=9083) WARNING:tensorflow:From /home/surabhi/.local/lib/python3.6/site-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
(pid=9083) Instructions for updating:
(pid=9083) Colocations handled automatically by placer.
(pid=9083) WARNING: Logging before flag parsing goes to stderr.
(pid=9083) W0615 04:36:53.833971 139846760371968 deprecation.py:323] From /home/surabhi/.local/lib/python3.6/site-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
(pid=9083) Instructions for updating:
(pid=9083) Colocations handled automatically by placer.
2019-06-15 04:36:53,940 ERROR trial_runner.py:487 -- Error processing event.
Traceback (most recent call last):
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/tune/trial_runner.py", line 436, in _process_trial
result = self.trial_executor.fetch_result(trial)
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/tune/ray_trial_executor.py", line 323, in fetch_result
result = ray.get(trial_future[0])
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/worker.py", line 2189, in get
raise value
ray.exceptions.RayTaskError: ray_ExperimentRunner:train() (pid=9083, host=surabhi-Vostro-3559)
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/tune/trainable.py", line 151, in train
result = self._train()
File "/home/surabhi/Downloads/github/softlearning/examples/development/main.py", line 82, in _train
self._build()
File "/home/surabhi/Downloads/github/softlearning/examples/development/main.py", line 59, in _build
variant, training_environment)
File "/home/surabhi/Downloads/github/softlearning/softlearning/policies/utils.py", line 75, in get_policy_from_variant
return get_policy_from_params(policy_params, *args, **kwargs)
File "/home/surabhi/Downloads/github/softlearning/softlearning/policies/utils.py", line 68, in get_policy_from_params
**kwargs)
File "/home/surabhi/Downloads/github/softlearning/softlearning/policies/utils.py", line 10, in get_gaussian_policy
policy = FeedforwardGaussianPolicy(*args, **kwargs)
File "/home/surabhi/Downloads/github/softlearning/softlearning/policies/gaussian_policy.py", line 226, in __init__
self._Serializable__initialize(locals())
AttributeError: 'FeedforwardGaussianPolicy' object has no attribute '_Serializable__initialize'
2019-06-15 04:36:53,941 INFO ray_trial_executor.py:187 -- Destroying actor for trial id=14eb5e74-seed=221. If your trainable is slow to initialize, consider setting reuse_actors=True to reduce actor creation overheads.
2019-06-15 04:36:53,943 INFO trial_runner.py:524 -- Attempting to recover trial state from last checkpoint.
== Status ==
Using FIFO scheduling algorithm.
Resources requested: 4/4 CPUs, 0/0 GPUs
Memory usage on this node: 2.9/4.0 GB
Result logdir: /home/surabhi/ray_results/gym/HalfCheetah/v3/2019-06-15T04-36-45-my-sac-experiment-1
Number of trials: 1 ({'RUNNING': 1})
RUNNING trials:
- id=14eb5e74-seed=221: RUNNING, 2 failures: /home/surabhi/ray_results/gym/HalfCheetah/v3/2019-06-15T04-36-45-my-sac-experiment-1/id=14eb5e74-seed=221_2019-06-15_04-36-46cj00ypvt/error_2019-06-15_04-36-53.txt
(pid=9081) /home/surabhi/.local/lib/python3.6/site-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.25.1) or chardet (3.0.4) doesn't match a supported version!
(pid=9081) RequestsDependencyWarning)
(pid=9081)
(pid=9081) WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0.
(pid=9081) For more information, please see:
(pid=9081) * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
(pid=9081) * https://github.com/tensorflow/addons
(pid=9081) If you depend on functionality not listed there, please file an issue.
(pid=9081)
(pid=9081) Using seed 221
(pid=9081) 2019-06-15 04:36:57.425650: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
(pid=9081) 2019-06-15 04:36:57.429647: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2400000000 Hz
(pid=9081) 2019-06-15 04:36:57.429862: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x55b3ac7c78a0 executing computations on platform Host. Devices:
(pid=9081) 2019-06-15 04:36:57.429886: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): <undefined>, <undefined>
(pid=9081) WARNING:tensorflow:From /home/surabhi/.local/lib/python3.6/site-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
(pid=9081) Instructions for updating:
(pid=9081) Colocations handled automatically by placer.
(pid=9081) WARNING: Logging before flag parsing goes to stderr.
(pid=9081) W0615 04:36:57.472656 140634258609920 deprecation.py:323] From /home/surabhi/.local/lib/python3.6/site-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
(pid=9081) Instructions for updating:
(pid=9081) Colocations handled automatically by placer.
2019-06-15 04:36:57,574 ERROR trial_runner.py:487 -- Error processing event.
Traceback (most recent call last):
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/tune/trial_runner.py", line 436, in _process_trial
result = self.trial_executor.fetch_result(trial)
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/tune/ray_trial_executor.py", line 323, in fetch_result
result = ray.get(trial_future[0])
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/worker.py", line 2189, in get
raise value
ray.exceptions.RayTaskError: ray_ExperimentRunner:train() (pid=9081, host=surabhi-Vostro-3559)
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/tune/trainable.py", line 151, in train
result = self._train()
File "/home/surabhi/Downloads/github/softlearning/examples/development/main.py", line 82, in _train
self._build()
File "/home/surabhi/Downloads/github/softlearning/examples/development/main.py", line 59, in _build
variant, training_environment)
File "/home/surabhi/Downloads/github/softlearning/softlearning/policies/utils.py", line 75, in get_policy_from_variant
return get_policy_from_params(policy_params, *args, **kwargs)
File "/home/surabhi/Downloads/github/softlearning/softlearning/policies/utils.py", line 68, in get_policy_from_params
**kwargs)
File "/home/surabhi/Downloads/github/softlearning/softlearning/policies/utils.py", line 10, in get_gaussian_policy
policy = FeedforwardGaussianPolicy(*args, **kwargs)
File "/home/surabhi/Downloads/github/softlearning/softlearning/policies/gaussian_policy.py", line 226, in __init__
self._Serializable__initialize(locals())
AttributeError: 'FeedforwardGaussianPolicy' object has no attribute '_Serializable__initialize'
2019-06-15 04:36:57,575 INFO ray_trial_executor.py:187 -- Destroying actor for trial id=14eb5e74-seed=221. If your trainable is slow to initialize, consider setting reuse_actors=True to reduce actor creation overheads.
2019-06-15 04:36:57,576 INFO trial_runner.py:524 -- Attempting to recover trial state from last checkpoint.
(pid=9084) /home/surabhi/.local/lib/python3.6/site-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.25.1) or chardet (3.0.4) doesn't match a supported version!
(pid=9084) RequestsDependencyWarning)
(pid=9084)
(pid=9084) WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0.
(pid=9084) For more information, please see:
(pid=9084) * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
(pid=9084) * https://github.com/tensorflow/addons
(pid=9084) If you depend on functionality not listed there, please file an issue.
(pid=9084)
(pid=9084) Using seed 221
(pid=9084) 2019-06-15 04:37:00.981560: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
(pid=9084) 2019-06-15 04:37:00.987048: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2400000000 Hz
(pid=9084) 2019-06-15 04:37:00.987274: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x561e70f53660 executing computations on platform Host. Devices:
(pid=9084) 2019-06-15 04:37:00.987293: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): <undefined>, <undefined>
(pid=9084) WARNING:tensorflow:From /home/surabhi/.local/lib/python3.6/site-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
(pid=9084) Instructions for updating:
(pid=9084) Colocations handled automatically by placer.
(pid=9084) WARNING: Logging before flag parsing goes to stderr.
(pid=9084) W0615 04:37:01.021606 140204585965312 deprecation.py:323] From /home/surabhi/.local/lib/python3.6/site-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
(pid=9084) Instructions for updating:
(pid=9084) Colocations handled automatically by placer.
2019-06-15 04:37:01,131 ERROR trial_runner.py:487 -- Error processing event.
Traceback (most recent call last):
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/tune/trial_runner.py", line 436, in _process_trial
result = self.trial_executor.fetch_result(trial)
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/tune/ray_trial_executor.py", line 323, in fetch_result
result = ray.get(trial_future[0])
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/worker.py", line 2189, in get
raise value
ray.exceptions.RayTaskError: ray_ExperimentRunner:train() (pid=9084, host=surabhi-Vostro-3559)
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/tune/trainable.py", line 151, in train
result = self._train()
File "/home/surabhi/Downloads/github/softlearning/examples/development/main.py", line 82, in _train
self._build()
File "/home/surabhi/Downloads/github/softlearning/examples/development/main.py", line 59, in _build
variant, training_environment)
File "/home/surabhi/Downloads/github/softlearning/softlearning/policies/utils.py", line 75, in get_policy_from_variant
return get_policy_from_params(policy_params, *args, **kwargs)
File "/home/surabhi/Downloads/github/softlearning/softlearning/policies/utils.py", line 68, in get_policy_from_params
**kwargs)
File "/home/surabhi/Downloads/github/softlearning/softlearning/policies/utils.py", line 10, in get_gaussian_policy
policy = FeedforwardGaussianPolicy(*args, **kwargs)
File "/home/surabhi/Downloads/github/softlearning/softlearning/policies/gaussian_policy.py", line 226, in __init__
self._Serializable__initialize(locals())
AttributeError: 'FeedforwardGaussianPolicy' object has no attribute '_Serializable__initialize'
2019-06-15 04:37:01,132 INFO ray_trial_executor.py:187 -- Destroying actor for trial id=14eb5e74-seed=221. If your trainable is slow to initialize, consider setting reuse_actors=True to reduce actor creation overheads.
== Status ==
Using FIFO scheduling algorithm.
Resources requested: 0/4 CPUs, 0/0 GPUs
Memory usage on this node: 2.9/4.0 GB
Result logdir: /home/surabhi/ray_results/gym/HalfCheetah/v3/2019-06-15T04-36-45-my-sac-experiment-1
Number of trials: 1 ({'ERROR': 1})
ERROR trials:
- id=14eb5e74-seed=221: ERROR, 4 failures: /home/surabhi/ray_results/gym/HalfCheetah/v3/2019-06-15T04-36-45-my-sac-experiment-1/id=14eb5e74-seed=221_2019-06-15_04-36-46cj00ypvt/error_2019-06-15_04-37-01.txt
== Status ==
Using FIFO scheduling algorithm.
Resources requested: 0/4 CPUs, 0/0 GPUs
Memory usage on this node: 2.9/4.0 GB
Result logdir: /home/surabhi/ray_results/gym/HalfCheetah/v3/2019-06-15T04-36-45-my-sac-experiment-1
Number of trials: 1 ({'ERROR': 1})
ERROR trials:
- id=14eb5e74-seed=221: ERROR, 4 failures: /home/surabhi/ray_results/gym/HalfCheetah/v3/2019-06-15T04-36-45-my-sac-experiment-1/id=14eb5e74-seed=221_2019-06-15_04-36-46cj00ypvt/error_2019-06-15_04-37-01.txt
Traceback (most recent call last):
File "/home/surabhi/anaconda3/envs/softlearning/bin/softlearning", line 11, in <module>
load_entry_point('softlearning', 'console_scripts', 'softlearning')()
File "/home/surabhi/Downloads/github/softlearning/softlearning/scripts/console_scripts.py", line 202, in main
return cli()
File "/home/surabhi/.local/lib/python3.6/site-packages/click/core.py", line 764, in __call__
return self.main(*args, **kwargs)
File "/home/surabhi/.local/lib/python3.6/site-packages/click/core.py", line 717, in main
rv = self.invoke(ctx)
File "/home/surabhi/.local/lib/python3.6/site-packages/click/core.py", line 1137, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/home/surabhi/.local/lib/python3.6/site-packages/click/core.py", line 956, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/home/surabhi/.local/lib/python3.6/site-packages/click/core.py", line 555, in invoke
return callback(*args, **kwargs)
File "/home/surabhi/Downloads/github/softlearning/softlearning/scripts/console_scripts.py", line 71, in run_example_local_cmd
return run_example_local(example_module_name, example_argv)
File "/home/surabhi/Downloads/github/softlearning/examples/instrument.py", line 224, in run_example_local
reuse_actors=True)
File "/home/surabhi/.local/lib/python3.6/site-packages/ray/tune/tune.py", line 272, in run raise
TuneError("Trials did not complete", errored_trials)
ray.tune.error.TuneError: ('Trials did not complete', [id=14eb5e74-seed=221])
==========================================================
Thanks and Regards
Surbhi Gupta
…________________________________
From: Kristian Hartikainen <[email protected]>
Sent: 06 June 2019 12:45:19
To: rail-berkeley/softlearning
Cc: SURBHI GUPTA; Author
Subject: Re: [rail-berkeley/softlearning] invalidgitrepository error (#89)
Closed #89<#89>.
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Related Issues (20)
- SAC gradients weighted inconsistently
- Question on the soft q learning implementation HOT 1
- Question on initialization of alpha and entropy HOT 7
- Not use GPU failed call to cuInit: CUDA_ERROR_NO_DEVICE HOT 4
- `dm_control` `cheetah` `run` training stops suddenly HOT 3
- error when running example
- How can I generate eval/test output video of dm_control tasks?
- No rendering/headless mode available?
- No module named 'example.instruments' HOT 2
- target_entropy discrete_space HOT 2
- Implementation of automatic entropy temperature tuning(alpha loss) HOT 6
- SQL algorithm is not working HOT 1
- MultiGoal Env not working, please give instruction. HOT 6
- Error on installing with docker HOT 1
- Incompatible with ray 1.2.0 HOT 1
- Incompatible with tensorflow 2.4.0 HOT 1
- Differences between softlearning implementation and formula 18 in paper of alpha loss
- using deterministic policy in enviroment like lunarlander?
- why target entropy is -dim(A)?
- The issue of softlearning implementation HOT 1
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