SIGSEGV on env.step for multiple renderings. about minigrid HOT 8 CLOSED

Hi Chase. I think this is an issue related to the PyQT renderer. Can you provide a code snippet to reproduce the issue?

from minigrid.

Hey thanks for the quick response. Here's where I've instantiated multiple envs:

import gym
from gym_minigrid.wrappers import RGBImgObsWrapper
from PEARL import PEARL

env0 = RGBImgObsWrapper(gym.make("MiniGrid-Empty-Random-5x5-v0"))
env00 = RGBImgObsWrapper(gym.make("MiniGrid-FourRooms-v0"))
env1 = RGBImgObsWrapper(gym.make("MiniGrid-MultiRoom-N2-S4-v0"))
env2 = RGBImgObsWrapper(gym.make("MiniGrid-MultiRoom-N4-S5-v0"))
train_tasks = [env00, env0, env1, env2]
test_env = RGBImgObsWrapper(gym.make("MiniGrid-MultiRoom-N6-v0"))
test_tasks = [test_env]
#train
pearl = PEARL(train_tasks[0], train_tasks, test_tasks)
pearl.train_algo()

#########################################################################

And here's where I'm rendering each environment to initialize them into replay buffers:

def get_path(self, env, policy, max_length):
           ...
	s = env.reset()
	env.render()
	for i in range(max_length):
		a = policy.get_action(s)
		a = self.return_action(env, a)
		s_p, r, t, e_info = env.step(a)
                   ... # the line above breaks it

########################################################################

Thanks again for looking into it. I'll look up the issue in ref to PyQT in the meantime.

from minigrid.

One temporary fix that could work is to run the environments in forked processes.

Otherwise though, next week I will start looking at implementing a renderer based on NumPy (see #76). I would ideally like to eliminate the PyQT dependency. You're not the only one to run into issues. If you're available to help me test next week that could he useful :)

from minigrid.

Hey, thanks that's awesome. I'd be happy to help, though I'm working on the implementation so it will definitely not be bug-free. If it's still helpful though, that would be great!

from minigrid.

Hi @chasebos91. I have the new version of MiniGrid that uses NumPy to produce graphics on a new branch maximecb-numpy-render, and matplotlib for rendering windows. Could you test it out and let me know if it fixes the problem you encountered or if you run into any other issues?

from minigrid.

So far so good! Will let you know as I keep working on it. Thank you!!
** EDIT: Sorry nvm I'm a GitHub noob, can you tell me how I can access the branch?

from minigrid.

You can access it by first doing a git pull, then:

git checkout maximecb-numpy-render`

Then to install the package in editable mode:

pip3 install -e .

from minigrid.

This is now pushed to the master branch as well :)

from minigrid.