'FeedforwardGaussianPolicy' object has no attribute '_Serializable__initialize' #107
Comments
|
Use git+https://github.com/hartikainen/serializable.git@76516385a3a716ed4a2a9ad877e2d5cbcf18d4e6 (Defined in requirements.txt). However, the authors should needs to improve this so that it does not use a very specific, non-pypi, pinned version of libraries. There is no dependencies/libraries maintained in setup.py. /cc @hartikainen could you maintain |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
The output from the console is:
/home/huixin/anaconda3/envs/softlearning/bin/python /home/huixin/PycharmProjects/softlearning/examples/development/main.py /home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.25.1) or chardet (3.0.4) doesn't match a supported version! RequestsDependencyWarning) Warning: dm_control package not found. Runpip install git+https://github.com/deepmind/dm_control.git` to use dm_control environments.2019-09-16 20:49:16,811 INFO node.py:498 -- Process STDOUT and STDERR is being redirected to /tmp/ray/session_2019-09-16_20-49-16_810674_7958/logs.
2019-09-16 20:49:16,925 INFO services.py:409 -- Waiting for redis server at 127.0.0.1:63967 to respond...
2019-09-16 20:49:17,047 INFO services.py:409 -- Waiting for redis server at 127.0.0.1:56793 to respond...
2019-09-16 20:49:17,049 INFO services.py:806 -- Starting Redis shard with 3.34 GB max memory.
2019-09-16 20:49:17,089 INFO node.py:512 -- Process STDOUT and STDERR is being redirected to /tmp/ray/session_2019-09-16_20-49-16_810674_7958/logs.
2019-09-16 20:49:17,090 INFO services.py:1442 -- Starting the Plasma object store with 5.01 GB memory using /dev/shm.
2019-09-16 20:49:17,217 INFO tune.py:65 -- Did not find checkpoint file in /home/huixin/ray_results/gym/Pendulum/v0/2019-09-16T20-49-16-2019-09-16T20-49-16.
2019-09-16 20:49:17,217 INFO tune.py:232 -- Starting a new experiment.
2019-09-16 20:49:17,218 INFO web_server.py:241 -- Starting Tune Server...
== Status ==
Using FIFO scheduling algorithm.
Resources requested: 0/16 CPUs, 0/1 GPUs
Memory usage on this node: 11.3/16.7 GB
WARNING: Logging before flag parsing goes to stderr.
W0916 20:49:17.326717 140070514243008 deprecation_wrapper.py:119] From /home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/tune/logger.py:131: The name tf.VERSION is deprecated. Please use tf.version.VERSION instead.
W0916 20:49:17.327078 140070514243008 deprecation_wrapper.py:119] From /home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/tune/logger.py:136: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.
== Status ==
Using FIFO scheduling algorithm.
Resources requested: 16/16 CPUs, 0/1 GPUs
Memory usage on this node: 11.4/16.7 GB
Result logdir: /home/huixin/ray_results/gym/Pendulum/v0/2019-09-16T20-49-16-2019-09-16T20-49-16
Number of trials: 1 ({'RUNNING': 1})
RUNNING trials:
(pid=8062) /home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/requests/init.py:91: RequestsDependencyWarning: urllib3 (1.25.1) or chardet (3.0.4) doesn't match a supported version!
(pid=8062) RequestsDependencyWarning)
(pid=8062) Warning: dm_control package not found. Run
pip install git+https://github.com/deepmind/dm_control.gitto use dm_control environments.(pid=8062) 2019-09-16 20:49:20.153718: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
(pid=8062) 2019-09-16 20:49:20.179777: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3800000000 Hz
(pid=8062) 2019-09-16 20:49:20.181510: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x563a01abd7f0 executing computations on platform Host. Devices:
(pid=8062) 2019-09-16 20:49:20.181557: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): ,
(pid=8062) WARNING: Logging before flag parsing goes to stderr.
(pid=8062) W0916 20:49:20.183301 140071170913728 deprecation_wrapper.py:119] From /home/huixin/PycharmProjects/softlearning/examples/development/main.py:33: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead.
(pid=8062)
(pid=8062) Using seed 898
(pid=8062) W0916 20:49:20.199773 140071170913728 deprecation.py:506] From /home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/tensorflow/python/ops/init_ops.py:1251: calling VarianceScaling.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
(pid=8062) Instructions for updating:
(pid=8062) Call initializer instance with the dtype argument instead of passing it to the constructor
2019-09-16 20:49:20,403 ERROR trial_runner.py:487 -- Error processing event.
Traceback (most recent call last):
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/tune/trial_runner.py", line 436, in _process_trial
result = self.trial_executor.fetch_result(trial)
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/tune/ray_trial_executor.py", line 323, in fetch_result
result = ray.get(trial_future[0])
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/worker.py", line 2189, in get
raise value
ray.exceptions.RayTaskError: ray_ExperimentRunner:train() (pid=8062, host=huixin-Alienware-Area-51-R5)
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/tune/trainable.py", line 151, in train
result = self._train()
File "/home/huixin/PycharmProjects/softlearning/examples/development/main.py", line 82, in _train
self._build()
File "/home/huixin/PycharmProjects/softlearning/examples/development/main.py", line 59, in _build
variant, training_environment)
File "/home/huixin/PycharmProjects/softlearning/softlearning/policies/utils.py", line 75, in get_policy_from_variant
return get_policy_from_params(policy_params, *args, **kwargs)
File "/home/huixin/PycharmProjects/softlearning/softlearning/policies/utils.py", line 68, in get_policy_from_params
**kwargs)
File "/home/huixin/PycharmProjects/softlearning/softlearning/policies/utils.py", line 10, in get_gaussian_policy
policy = FeedforwardGaussianPolicy(*args, **kwargs)
File "/home/huixin/PycharmProjects/softlearning/softlearning/policies/gaussian_policy.py", line 226, in init
self._Serializable__initialize(locals())
AttributeError: 'FeedforwardGaussianPolicy' object has no attribute '_Serializable__initialize'
2019-09-16 20:49:20,405 INFO ray_trial_executor.py:187 -- Destroying actor for trial id=5bf385e2-seed=898. If your trainable is slow to initialize, consider setting reuse_actors=True to reduce actor creation overheads.
2019-09-16 20:49:20,408 INFO trial_runner.py:524 -- Attempting to recover trial state from last checkpoint.
(pid=8483) /home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/requests/init.py:91: RequestsDependencyWarning: urllib3 (1.25.1) or chardet (3.0.4) doesn't match a supported version!
(pid=8483) RequestsDependencyWarning)
(pid=8483) Warning: dm_control package not found. Run
pip install git+https://github.com/deepmind/dm_control.gitto use dm_control environments.(pid=8483) Using seed 898
(pid=8483) 2019-09-16 20:49:22.897939: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
(pid=8483) 2019-09-16 20:49:22.919721: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3800000000 Hz
(pid=8483) 2019-09-16 20:49:22.920702: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55c5307cc240 executing computations on platform Host. Devices:
(pid=8483) 2019-09-16 20:49:22.920751: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): ,
(pid=8483) WARNING: Logging before flag parsing goes to stderr.
(pid=8483) W0916 20:49:22.922283 139638051562944 deprecation_wrapper.py:119] From /home/huixin/PycharmProjects/softlearning/examples/development/main.py:33: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead.
(pid=8483)
(pid=8483) W0916 20:49:22.935199 139638051562944 deprecation.py:506] From /home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/tensorflow/python/ops/init_ops.py:1251: calling VarianceScaling.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
(pid=8483) Instructions for updating:
(pid=8483) Call initializer instance with the dtype argument instead of passing it to the constructor
2019-09-16 20:49:23,132 ERROR trial_runner.py:487 -- Error processing event.
Traceback (most recent call last):
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/tune/trial_runner.py", line 436, in _process_trial
result = self.trial_executor.fetch_result(trial)
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/tune/ray_trial_executor.py", line 323, in fetch_result
result = ray.get(trial_future[0])
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/worker.py", line 2189, in get
raise value
ray.exceptions.RayTaskError: ray_ExperimentRunner:train() (pid=8483, host=huixin-Alienware-Area-51-R5)
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/tune/trainable.py", line 151, in train
result = self._train()
File "/home/huixin/PycharmProjects/softlearning/examples/development/main.py", line 82, in _train
self._build()
File "/home/huixin/PycharmProjects/softlearning/examples/development/main.py", line 59, in _build
variant, training_environment)
File "/home/huixin/PycharmProjects/softlearning/softlearning/policies/utils.py", line 75, in get_policy_from_variant
return get_policy_from_params(policy_params, *args, **kwargs)
File "/home/huixin/PycharmProjects/softlearning/softlearning/policies/utils.py", line 68, in get_policy_from_params
**kwargs)
File "/home/huixin/PycharmProjects/softlearning/softlearning/policies/utils.py", line 10, in get_gaussian_policy
policy = FeedforwardGaussianPolicy(*args, **kwargs)
File "/home/huixin/PycharmProjects/softlearning/softlearning/policies/gaussian_policy.py", line 226, in init
self._Serializable__initialize(locals())
AttributeError: 'FeedforwardGaussianPolicy' object has no attribute '_Serializable__initialize'
2019-09-16 20:49:23,133 INFO ray_trial_executor.py:187 -- Destroying actor for trial id=5bf385e2-seed=898. If your trainable is slow to initialize, consider setting reuse_actors=True to reduce actor creation overheads.
2019-09-16 20:49:23,137 INFO trial_runner.py:524 -- Attempting to recover trial state from last checkpoint.
== Status ==
Using FIFO scheduling algorithm.
Resources requested: 16/16 CPUs, 0/1 GPUs
Memory usage on this node: 11.9/16.7 GB
Result logdir: /home/huixin/ray_results/gym/Pendulum/v0/2019-09-16T20-49-16-2019-09-16T20-49-16
Number of trials: 1 ({'RUNNING': 1})
RUNNING trials:
(pid=8054) /home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/requests/init.py:91: RequestsDependencyWarning: urllib3 (1.25.1) or chardet (3.0.4) doesn't match a supported version!
(pid=8054) RequestsDependencyWarning)
(pid=8054) Warning: dm_control package not found. Run
pip install git+https://github.com/deepmind/dm_control.gitto use dm_control environments.(pid=8054) 2019-09-16 20:49:25.546920: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
(pid=8054) Using seed 898
(pid=8054) 2019-09-16 20:49:25.571804: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3800000000 Hz
(pid=8054) 2019-09-16 20:49:25.573208: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5622e9eab0f0 executing computations on platform Host. Devices:
(pid=8054) 2019-09-16 20:49:25.573249: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): ,
(pid=8054) WARNING: Logging before flag parsing goes to stderr.
(pid=8054) W0916 20:49:25.574851 140703493096896 deprecation_wrapper.py:119] From /home/huixin/PycharmProjects/softlearning/examples/development/main.py:33: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead.
(pid=8054)
(pid=8054) W0916 20:49:25.591375 140703493096896 deprecation.py:506] From /home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/tensorflow/python/ops/init_ops.py:1251: calling VarianceScaling.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
(pid=8054) Instructions for updating:
(pid=8054) Call initializer instance with the dtype argument instead of passing it to the constructor
2019-09-16 20:49:25,810 ERROR trial_runner.py:487 -- Error processing event.
Traceback (most recent call last):
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/tune/trial_runner.py", line 436, in _process_trial
result = self.trial_executor.fetch_result(trial)
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/tune/ray_trial_executor.py", line 323, in fetch_result
result = ray.get(trial_future[0])
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/worker.py", line 2189, in get
raise value
ray.exceptions.RayTaskError: ray_ExperimentRunner:train() (pid=8054, host=huixin-Alienware-Area-51-R5)
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/tune/trainable.py", line 151, in train
result = self._train()
File "/home/huixin/PycharmProjects/softlearning/examples/development/main.py", line 82, in _train
self._build()
File "/home/huixin/PycharmProjects/softlearning/examples/development/main.py", line 59, in _build
variant, training_environment)
File "/home/huixin/PycharmProjects/softlearning/softlearning/policies/utils.py", line 75, in get_policy_from_variant
return get_policy_from_params(policy_params, *args, **kwargs)
File "/home/huixin/PycharmProjects/softlearning/softlearning/policies/utils.py", line 68, in get_policy_from_params
**kwargs)
File "/home/huixin/PycharmProjects/softlearning/softlearning/policies/utils.py", line 10, in get_gaussian_policy
policy = FeedforwardGaussianPolicy(*args, **kwargs)
File "/home/huixin/PycharmProjects/softlearning/softlearning/policies/gaussian_policy.py", line 226, in init
self._Serializable__initialize(locals())
AttributeError: 'FeedforwardGaussianPolicy' object has no attribute '_Serializable__initialize'
2019-09-16 20:49:25,812 INFO ray_trial_executor.py:187 -- Destroying actor for trial id=5bf385e2-seed=898. If your trainable is slow to initialize, consider setting reuse_actors=True to reduce actor creation overheads.
2019-09-16 20:49:25,816 INFO trial_runner.py:524 -- Attempting to recover trial state from last checkpoint.
(pid=8057) /home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/requests/init.py:91: RequestsDependencyWarning: urllib3 (1.25.1) or chardet (3.0.4) doesn't match a supported version!
(pid=8057) RequestsDependencyWarning)
(pid=8057) Warning: dm_control package not found. Run
pip install git+https://github.com/deepmind/dm_control.gitto use dm_control environments.(pid=8057) Using seed 898
(pid=8057) 2019-09-16 20:49:28.414622: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
(pid=8057) 2019-09-16 20:49:28.439801: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3800000000 Hz
(pid=8057) 2019-09-16 20:49:28.440759: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5623f06bd340 executing computations on platform Host. Devices:
(pid=8057) 2019-09-16 20:49:28.440784: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): ,
(pid=8057) WARNING: Logging before flag parsing goes to stderr.
(pid=8057) W0916 20:49:28.442358 140376052176320 deprecation_wrapper.py:119] From /home/huixin/PycharmProjects/softlearning/examples/development/main.py:33: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead.
(pid=8057)
(pid=8057) W0916 20:49:28.458849 140376052176320 deprecation.py:506] From /home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/tensorflow/python/ops/init_ops.py:1251: calling VarianceScaling.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
(pid=8057) Instructions for updating:
(pid=8057) Call initializer instance with the dtype argument instead of passing it to the constructor
2019-09-16 20:49:28,655 ERROR trial_runner.py:487 -- Error processing event.
Traceback (most recent call last):
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/tune/trial_runner.py", line 436, in _process_trial
result = self.trial_executor.fetch_result(trial)
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/tune/ray_trial_executor.py", line 323, in fetch_result
result = ray.get(trial_future[0])
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/worker.py", line 2189, in get
raise value
ray.exceptions.RayTaskError: ray_ExperimentRunner:train() (pid=8057, host=huixin-Alienware-Area-51-R5)
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/site-packages/ray/tune/trainable.py", line 151, in train
result = self._train()
File "/home/huixin/PycharmProjects/softlearning/examples/development/main.py", line 82, in _train
self._build()
File "/home/huixin/PycharmProjects/softlearning/examples/development/main.py", line 59, in _build
variant, training_environment)
File "/home/huixin/PycharmProjects/softlearning/softlearning/policies/utils.py", line 75, in get_policy_from_variant
return get_policy_from_params(policy_params, *args, **kwargs)
File "/home/huixin/PycharmProjects/softlearning/softlearning/policies/utils.py", line 68, in get_policy_from_params
**kwargs)
File "/home/huixin/PycharmProjects/softlearning/softlearning/policies/utils.py", line 10, in get_gaussian_policy
policy = FeedforwardGaussianPolicy(*args, **kwargs)
File "/home/huixin/PycharmProjects/softlearning/softlearning/policies/gaussian_policy.py", line 226, in init
self._Serializable__initialize(locals())
AttributeError: 'FeedforwardGaussianPolicy' object has no attribute '_Serializable__initialize'
2019-09-16 20:49:28,657 INFO ray_trial_executor.py:187 -- Destroying actor for trial id=5bf385e2-seed=898. If your trainable is slow to initialize, consider setting reuse_actors=True to reduce actor creation overheads.
== Status ==
Using FIFO scheduling algorithm.
Resources requested: 0/16 CPUs, 0/1 GPUs
Memory usage on this node: 11.9/16.7 GB
Result logdir: /home/huixin/ray_results/gym/Pendulum/v0/2019-09-16T20-49-16-2019-09-16T20-49-16
Number of trials: 1 ({'ERROR': 1})
ERROR trials:
== Status ==
Using FIFO scheduling algorithm.
Resources requested: 0/16 CPUs, 0/1 GPUs
Memory usage on this node: 11.9/16.7 GB
Result logdir: /home/huixin/ray_results/gym/Pendulum/v0/2019-09-16T20-49-16-2019-09-16T20-49-16
Number of trials: 1 ({'ERROR': 1})
ERROR trials:
Traceback (most recent call last):
File "/home/huixin/PycharmProjects/softlearning/examples/development/main.py", line 263, in
main(argv=sys.argv[1:])
File "/home/huixin/PycharmProjects/softlearning/examples/development/main.py", line 259, in main
run_example_local('examples.development', argv)
File "/home/huixin/PycharmProjects/softlearning/examples/instrument.py", line 224, in run_example_local
reuse_actors=True)
File "/home/huixin/anaconda3/envs/softlearning/lib/python3.7/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=5bf385e2-seed=898])
Process finished with exit code 1`
The text was updated successfully, but these errors were encountered: