# Saving gym render video to tensorboard

**URL:** <https://discuss.ray.io/t/saving-gym-render-video-to-tensorboard/2957>\
**Category:** Ray Tune\
**Created:** [July 21, 2021, 12:36pm UTC](https://discuss.ray.io/t/saving-gym-render-video-to-tensorboard/2957 "2021-07-21T12:36:55Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![AOS55](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/aos55/32/1303_2.png) [@AOS55](https://discuss.ray.io/u/AOS55)\
**Post date:** [July 21, 2021, 12:36pm UTC](https://discuss.ray.io/t/saving-gym-render-video-to-tensorboard/2957/1 "2021-07-21T12:36:55Z")

</div>

I am trying to visualize the progress of my rllib model using ray.tune in tensorboard. I am not sure how to best approach this, I have a custom environment with an rgb output that should be compatable.

I have been trying to run the programme using cartpole-v0 with `config['render_env] = True` I get thje following error message:

> `Traceback (most recent call last):  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/tune/trial\_runner.py”, line 718, in \_process\_trial  
> results = self.trial\_executor.fetch\_result(trial)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/tune/ray\_trial\_executor.py”, line 688, in fetch\_result  
> result = ray.get(trial\_future[0], timeout=DEFAULT\_GET\_TIMEOUT)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/\_private/client\_mode\_hook.py”, line 62, in wrapper  
> return func(\*args, \*\*kwargs)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/worker.py”, line 1495, in get  
> raise value.as\_instanceof\_cause()  
> ray.exceptions.RayTaskError(NoSuchDisplayException): ray::PPO.train\_buffered() (pid=46360, ip=192.168.50.7)  
> File “python/ray/\_raylet.pyx”, line 501, in ray.\_raylet.execute\_task  
> File “python/ray/\_raylet.pyx”, line 451, in ray.\_raylet.execute\_task.function\_executor  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/\_private/function\_manager.py”, line 563, in actor\_method\_executor  
> return method(\_\_ray\_actor, \*args, \*\*kwargs)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/tune/trainable.py”, line 173, in train\_buffered  
> result = self.train()  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/agents/trainer.py”, line 605, in train  
> raise e  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/agents/trainer.py”, line 594, in train  
> result = Trainable.train(self)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/tune/trainable.py”, line 232, in train  
> result = self.step()  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/agents/trainer\_template.py”, line 173, in step  
> res = next(self.train\_exec\_impl)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/util/iter.py”, line 756, in **next**  
> return next(self.built\_iterator)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/util/iter.py”, line 783, in apply\_foreach  
> for item in it:  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/util/iter.py”, line 783, in apply\_foreach  
> for item in it:  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/util/iter.py”, line 843, in apply\_filter  
> for item in it:  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/util/iter.py”, line 843, in apply\_filter  
> for item in it:  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/util/iter.py”, line 783, in apply\_foreach  
> for item in it:  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/util/iter.py”, line 783, in apply\_foreach  
> for item in it:  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/util/iter.py”, line 783, in apply\_foreach  
> for item in it:  
> [Previous line repeated 1 more time]  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/util/iter.py”, line 876, in apply\_flatten  
> for item in it:  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/util/iter.py”, line 828, in add\_wait\_hooks  
> item = next(it)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/util/iter.py”, line 783, in apply\_foreach  
> for item in it:  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/util/iter.py”, line 783, in apply\_foreach  
> for item in it:  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/util/iter.py”, line 783, in apply\_foreach  
> for item in it:  
> [Previous line repeated 1 more time]  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/util/iter.py”, line 471, in base\_iterator  
> yield ray.get(futures, timeout=timeout)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/\_private/client\_mode\_hook.py”, line 62, in wrapper  
> return func(\*args, \*\*kwargs)  
> ray.exceptions.RayTaskError(NoSuchDisplayException): ray::RolloutWorker.par\_iter\_next() (pid=46287, ip=192.168.50.7)  
> File “python/ray/\_raylet.pyx”, line 501, in ray.\_raylet.execute\_task  
> File “python/ray/\_raylet.pyx”, line 451, in ray.\_raylet.execute\_task.function\_executor  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/\_private/function\_manager.py”, line 563, in actor\_method\_executor  
> return method(\_\_ray\_actor, \*args, \*\*kwargs)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/util/iter.py”, line 1151, in par\_iter\_next  
> return next(self.local\_it)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/evaluation/rollout\_worker.py”, line 333, in gen\_rollouts  
> yield self.sample()  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/evaluation/rollout\_worker.py”, line 726, in sample  
> batches = [self.input\_reader.next()]  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/evaluation/sampler.py”, line 99, in next  
> batches = [self.get\_data()]  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/evaluation/sampler.py”, line 226, in get\_data  
> item = next(self.rollout\_provider)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/evaluation/sampler.py”, line 659, in \_env\_runner  
> rendered = base\_env.try\_render()  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/env/base\_env.py”, line 377, in try\_render  
> return self.vector\_env.try\_render\_at(env\_id)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/env/vector\_env.py”, line 189, in try\_render\_at  
> return self.envs[index].render()  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/gym/core.py”, line 240, in render  
> return self.env.render(mode, \*\*kwargs)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/gym/envs/classic\_control/cartpole.py”, line 174, in render  
> from gym.envs.classic\_control import rendering  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/gym/envs/classic\_control/rendering.py”, line 25, in   
> from pyglet.gl import \*  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/pyglet/gl/ **init**.py”, line 232, in   
> import pyglet.window  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/pyglet/window/ **init**.py”, line 1899, in   
> gl.\_create\_shadow\_window()  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/pyglet/gl/ **init**.py”, line 206, in \_create\_shadow\_window  
> \_shadow\_window = Window(width=1, height=1, visible=False)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/pyglet/window/xlib/ **init**.py”, line 173, in **init**  
> super(XlibWindow, self). **init** (\*args, \*\*kwargs)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/pyglet/window/ **init**.py”, line 585, in **init**  
> display = pyglet.canvas.get\_display()  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/pyglet/canvas/ **init**.py”, line 94, in get\_display  
> return Display()  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/pyglet/canvas/xlib.py”, line 123, in **init**  
> raise NoSuchDisplayException(‘Cannot connect to “%s”’ % name)  
> pyglet.canvas.xlib.NoSuchDisplayException: Cannot connect to “None”  
> Result for PPO\_CartPole-v1\_e125b\_00000:  
> {}
> 
> == Status ==  
> Memory usage on this node: 12.6/125.7 GiB  
> Using FIFO scheduling algorithm.  
> Resources requested: 0/64 CPUs, 0/1 GPUs, 0.0/76.12 GiB heap, 0.0/36.61 GiB objects (0.0/1.0 accelerator\_type:RTX)  
> Result logdir: /home/quessy/Dev/flyer/flyer/ray\_checkpoints/PPO  
> Number of trials: 1/1 (1 ERROR)`

Then when trying to run env\_rendering\_and\_recording.py from github ray master (cant link due to user limit)

> I get the same following error:
> 
> python render\_example.py  
> 2021-07-21 13:14:15,299 INFO services.py:1272 – View the Ray dashboard at  
> == Status ==  
> Memory usage on this node: 5.3/125.7 GiB  
> Using FIFO scheduling algorithm.  
> Resources requested: 0/4 CPUs, 0/1 GPUs, 0.0/76.14 GiB heap, 0.0/36.62 GiB objects (0.0/1.0 accelerator\_type:RTX)  
> Result logdir: /home/quessy/ray\_results/PPO  
> Number of trials: 1/1 (1 PENDING)  
> ±----------------------------------±---------±------+  
> | Trial name | status | loc |  
> |-----------------------------------±---------±------|  
> | PPO\_CustomRenderedEnv\_2b622\_00000 | PENDING | |  
> ±----------------------------------±---------±------+
> 
> (pid=45750) 2021-07-21 13:14:18,481 INFO trainer.py:671 – Tip: set framework=tfe or the --eager flag to enable TensorFlow eager execution  
> (pid=45750) 2021-07-21 13:14:18,482 INFO trainer.py:696 – Current log\_level is WARN. For more information, set ‘log\_level’: ‘INFO’ / ‘DEBUG’ or use the -v and -vv flags.  
> (pid=45750) 2021-07-21 13:14:21,784 WARNING deprecation.py:33 – DeprecationWarning: `simple_optimizer` has been deprecated. This will raise an error in the future!  
> (pid=45749) /home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-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.  
> (pid=45749) warnings.warn(colorize(‘%s: %s’%(‘WARN’, msg % args), ‘yellow’))  
> (pid=45749) Setting the path for recording to /home/quessy/ray\_results/PPO/PPO\_CustomRenderedEnv\_2b622\_00000\_0\_2021-07-21\_13-14-16/videos  
> (pid=45749) Setting the path for recording to /home/quessy/ray\_results/PPO/PPO\_CustomRenderedEnv\_2b622\_00000\_0\_2021-07-21\_13-14-16/videos  
> 2021-07-21 13:14:27,849 ERROR trial\_runner.py:748 – Trial PPO\_CustomRenderedEnv\_2b622\_00000: Error processing event.  
> Traceback (most recent call last):  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/tune/trial\_runner.py”, line 718, in \_process\_trial  
> results = self.trial\_executor.fetch\_result(trial)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/tune/ray\_trial\_executor.py”, line 688, in fetch\_result  
> result = ray.get(trial\_future[0], timeout=DEFAULT\_GET\_TIMEOUT)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/\_private/client\_mode\_hook.py”, line 62, in wrapper  
> return func(\*args, \*\*kwargs)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/worker.py”, line 1495, in get  
> raise value.as\_instanceof\_cause()  
> ray.exceptions.RayTaskError(NoSuchDisplayException): ray::PPO.train\_buffered() (pid=45750, ip=192.168.50.7)  
> File “python/ray/\_raylet.pyx”, line 501, in ray.\_raylet.execute\_task  
> File “python/ray/\_raylet.pyx”, line 451, in ray.\_raylet.execute\_task.function\_executor  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/\_private/function\_manager.py”, line 563, in actor\_method\_executor  
> return method(\_\_ray\_actor, \*args, \*\*kwargs)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/tune/trainable.py”, line 173, in train\_buffered  
> result = self.train()  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/agents/trainer.py”, line 605, in train  
> raise e  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/agents/trainer.py”, line 594, in train  
> result = Trainable.train(self)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/tune/trainable.py”, line 232, in train  
> result = self.step()  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/agents/trainer\_template.py”, line 186, in step  
> evaluation\_metrics = eval\_future.result()  
> File “/usr/lib/python3.8/concurrent/futures/\_base.py”, line 444, in result  
> return self.\_\_get\_result()  
> File “/usr/lib/python3.8/concurrent/futures/\_base.py”, line 389, in \_\_get\_result  
> raise self.\_exception  
> File “/usr/lib/python3.8/concurrent/futures/thread.py”, line 57, in run  
> result = self.fn(\*self.args, \*\*self.kwargs)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/agents/trainer.py”, line 877, in evaluate  
> ray.get([  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/\_private/client\_mode\_hook.py”, line 62, in wrapper  
> return func(\*args, \*\*kwargs)  
> ray.exceptions.RayTaskError(NoSuchDisplayException): ray::RolloutWorker.sample() (pid=45749, ip=192.168.50.7)  
> File “python/ray/\_raylet.pyx”, line 501, in ray.\_raylet.execute\_task  
> File “python/ray/\_raylet.pyx”, line 451, in ray.\_raylet.execute\_task.function\_executor  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/\_private/function\_manager.py”, line 563, in actor\_method\_executor  
> return method(\_\_ray\_actor, \*args, \*\*kwargs)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/evaluation/rollout\_worker.py”, line 726, in sample  
> batches = [self.input\_reader.next()]  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/evaluation/sampler.py”, line 99, in next  
> batches = [self.get\_data()]  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/evaluation/sampler.py”, line 226, in get\_data  
> item = next(self.rollout\_provider)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/evaluation/sampler.py”, line 665, in \_env\_runner  
> from gym.envs.classic\_control.rendering import   
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/gym/envs/classic\_control/rendering.py”, line 25, in   
> from pyglet.gl import \*  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/pyglet/gl/ **init**.py”, line 232, in   
> import pyglet.window  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/pyglet/window/ **init**.py”, line 1899, in   
> gl.\_create\_shadow\_window()  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/pyglet/gl/ **init**.py”, line 206, in \_create\_shadow\_window  
> \_shadow\_window = Window(width=1, height=1, visible=False)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/pyglet/window/xlib/ **init**.py”, line 173, in **init**  
> super(XlibWindow, self). **init** (\*args, \*\*kwargs)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/pyglet/window/ **init**.py”, line 585, in **init**  
> display = pyglet.canvas.get\_display()  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/pyglet/canvas/ **init**.py”, line 94, in get\_display  
> return Display()  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/pyglet/canvas/xlib.py”, line 123, in **init**  
> raise NoSuchDisplayException(‘Cannot connect to “%s”’ % name)  
> pyglet.canvas.xlib.NoSuchDisplayException: Cannot connect to “None”  
> Result for PPO\_CustomRenderedEnv\_2b622\_00000:  
> {}
> 
> == Status ==  
> Memory usage on this node: 6.7/125.7 GiB  
> Using FIFO scheduling algorithm.  
> Resources requested: 0/4 CPUs, 0/1 GPUs, 0.0/76.14 GiB heap, 0.0/36.62 GiB objects (0.0/1.0 accelerator\_type:RTX)  
> Result logdir: /home/quessy/ray\_results/PPO  
> Number of trials: 1/1 (1 ERROR)  
> ±----------------------------------±---------±------+  
> | Trial name | status | loc |  
> |-----------------------------------±---------±------|  
> | PPO\_CustomRenderedEnv\_2b622\_00000 | ERROR | |  
> ±----------------------------------±---------±------+  
> Number of errored trials: 1  
> ±----------------------------------±-------------±-----------------------------------------------------------------------------------------------+  
> | Trial name | # failures | error file |  
> |-----------------------------------±-------------±-----------------------------------------------------------------------------------------------|  
> | PPO\_CustomRenderedEnv\_2b622\_00000 | 1 | /home/quessy/ray\_results/PPO/PPO\_CustomRenderedEnv\_2b622\_00000\_0\_2021-07-21\_13-14-16/error.txt |  
> ±----------------------------------±-------------±-----------------------------------------------------------------------------------------------+
> 
> == Status ==  
> Memory usage on this node: 6.7/125.7 GiB  
> Using FIFO scheduling algorithm.  
> Resources requested: 0/4 CPUs, 0/1 GPUs, 0.0/76.14 GiB heap, 0.0/36.62 GiB objects (0.0/1.0 accelerator\_type:RTX)  
> Result logdir: /home/quessy/ray\_results/PPO  
> Number of trials: 1/1 (1 ERROR)  
> ±----------------------------------±---------±------+  
> | Trial name | status | loc |  
> |-----------------------------------±---------±------|  
> | PPO\_CustomRenderedEnv\_2b622\_00000 | ERROR | |  
> ±----------------------------------±---------±------+  
> Number of errored trials: 1  
> ±----------------------------------±-------------±-----------------------------------------------------------------------------------------------+  
> | Trial name | # failures | error file |  
> |-----------------------------------±-------------±-----------------------------------------------------------------------------------------------|  
> | PPO\_CustomRenderedEnv\_2b622\_00000 | 1 | /home/quessy/ray\_results/PPO/PPO\_CustomRenderedEnv\_2b622\_00000\_0\_2021-07-21\_13-14-16/error.txt |  
> ±----------------------------------±-------------±-----------------------------------------------------------------------------------------------+
> 
> Traceback (most recent call last):  
> File “render\_example.py”, line 131, in   
> results = tune.run(“PPO”, config=config, stop=stop)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/tune/tune.py”, line 543, in run  
> raise TuneError(“Trials did not complete”, incomplete\_trials)  
> ray.tune.error.TuneError: (‘Trials did not complete’, [PPO\_CustomRenderedEnv\_2b622\_00000])

I have read [[RLlib] Visualise custom environment - #15 by Lauritowal](https://discuss.ray.io/t/rllib-visualise-custom-environment/778/15) but thought merge [[RLlib] Fix env rendering and recording options (for non-local mode; \>0 workers; +evaluation-workers). by sven1977 · Pull Request #14796 · ray-project/ray · GitHub](https://github.com/ray-project/ray/pull/14796) solved this problem.

I was also looking at #1607 in RLlib forum but couldn’t work out how to use the callback, I tried using the VideoCallback(DefaultCallbacks) class as described in the config class but returned an error as follows:

> 2021-07-21 13:29:29,565 INFO services.py:1272 – View the Ray dashboard at  
> == Status ==  
> Memory usage on this node: 7.6/125.7 GiB  
> Using FIFO scheduling algorithm.  
> Resources requested: 0/64 CPUs, 0/1 GPUs, 0.0/76.07 GiB heap, 0.0/36.59 GiB objects (0.0/1.0 accelerator\_type:RTX)  
> Result logdir: /home/quessy/Dev/flyer/flyer/ray\_checkpoints/PPO  
> Number of trials: 1/1 (1 PENDING)  
> ±----------------------------±---------±------+  
> | Trial name | status | loc |  
> |-----------------------------±---------±------|  
> | PPO\_CartPole-v1\_4c786\_00000 | PENDING | |  
> ±----------------------------±---------±------+
> 
> 2021-07-21 13:29:33,020 ERROR trial\_runner.py:748 – Trial PPO\_CartPole-v1\_4c786\_00000: Error processing event.  
> Traceback (most recent call last):  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/tune/trial\_runner.py”, line 718, in \_process\_trial  
> results = self.trial\_executor.fetch\_result(trial)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/tune/ray\_trial\_executor.py”, line 688, in fetch\_result  
> result = ray.get(trial\_future[0], timeout=DEFAULT\_GET\_TIMEOUT)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/\_private/client\_mode\_hook.py”, line 62, in wrapper  
> return func(\*args, \*\*kwargs)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/worker.py”, line 1497, in get  
> raise value  
> ray.exceptions.RayActorError: The actor died because of an error raised in its creation task, ray::PPO. **init** () (pid=56327, ip=192.168.50.7)  
> File “python/ray/\_raylet.pyx”, line 501, in ray.\_raylet.execute\_task  
> File “python/ray/\_raylet.pyx”, line 451, in ray.\_raylet.execute\_task.function\_executor  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/\_private/function\_manager.py”, line 563, in actor\_method\_executor  
> return method(\_\_ray\_actor, \*args, \*\*kwargs)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/agents/trainer\_template.py”, line 123, in **init**  
> Trainer. **init** (self, config, env, logger\_creator)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/agents/trainer.py”, line 548, in **init**  
> super(). **init** (config, logger\_creator)  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/tune/trainable.py”, line 98, in **init**  
> self.setup(copy.deepcopy(self.config))  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/agents/trainer.py”, line 689, in setup  
> raise ValueError(  
> ValueError: `callbacks` must be a callable method that returns a subclass of DefaultCallbacks, got [\< **main**.VideoCallback object at 0x7f8007357c70\>]  
> Result for PPO\_CartPole-v1\_4c786\_00000:  
> {}
> 
> == Status ==  
> Memory usage on this node: 8.0/125.7 GiB  
> Using FIFO scheduling algorithm.  
> Resources requested: 0/64 CPUs, 0/1 GPUs, 0.0/76.07 GiB heap, 0.0/36.59 GiB objects (0.0/1.0 accelerator\_type:RTX)  
> Result logdir: /home/quessy/Dev/flyer/flyer/ray\_checkpoints/PPO  
> Number of trials: 1/1 (1 ERROR)  
> ±----------------------------±---------±------+  
> | Trial name | status | loc |  
> |-----------------------------±---------±------|  
> | PPO\_CartPole-v1\_4c786\_00000 | ERROR | |  
> ±----------------------------±---------±------+  
> Number of errored trials: 1  
> ±----------------------------±-------------±-------------------------------------------------------------------------------------------------------------+  
> | Trial name | # failures | error file |  
> |-----------------------------±-------------±-------------------------------------------------------------------------------------------------------------|  
> | PPO\_CartPole-v1\_4c786\_00000 | 1 | /home/quessy/Dev/flyer/flyer/ray\_checkpoints/PPO/PPO\_CartPole-v1\_4c786\_00000\_0\_2021-07-21\_13-29-31/error.txt |  
> ±----------------------------±-------------±-------------------------------------------------------------------------------------------------------------+
> 
> (pid=56327) 2021-07-21 13:29:33,016 ERROR worker.py:418 – Exception raised in creation task: The actor died because of an error raised in its creation task, ray::PPO. **init** () (pid=56327, ip=192.168.50.7)  
> (pid=56327) File “python/ray/\_raylet.pyx”, line 501, in ray.\_raylet.execute\_task  
> (pid=56327) File “python/ray/\_raylet.pyx”, line 451, in ray.\_raylet.execute\_task.function\_executor  
> (pid=56327) File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/\_private/function\_manager.py”, line 563, in actor\_method\_executor  
> (pid=56327) return method(\_\_ray\_actor, \*args, \*\*kwargs)  
> (pid=56327) File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/agents/trainer\_template.py”, line 123, in **init**  
> (pid=56327) Trainer. **init** (self, config, env, logger\_creator)  
> (pid=56327) File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/agents/trainer.py”, line 548, in **init**  
> (pid=56327) super(). **init** (config, logger\_creator)  
> (pid=56327) File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/tune/trainable.py”, line 98, in **init**  
> (pid=56327) self.setup(copy.deepcopy(self.config))  
> (pid=56327) File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/rllib/agents/trainer.py”, line 689, in setup  
> (pid=56327) raise ValueError(  
> (pid=56327) ValueError: `callbacks` must be a callable method that returns a subclass of DefaultCallbacks, got [\< **main**.VideoCallback object at 0x7f8007357c70\>]  
> Traceback (most recent call last):  
> File “ray\_rllib.py”, line 166, in   
> drl.train()  
> File “ray\_rllib.py”, line 67, in train  
> analysis = tune.run(  
> File “/home/quessy/Dev/flyer/flyervenv/lib/python3.8/site-packages/ray/tune/tune.py”, line 543, in run  
> raise TuneError(“Trials did not complete”, incomplete\_trials)  
> ray.tune.error.TuneError: (‘Trials did not complete’, [PPO\_CartPole-v1\_4c786\_00000])

Thanks for any help 😀