Segmentation fault: 11

[riccardo-alle]

Hello there!

I've just cloned the repository, installed the environment, and checking if it's working by launching (as described in README):

python3 -m scripts.train --algo ppo --env MiniGrid-DoorKey-5x5-v0 --model DoorKey --save-interval 10 --frames 80000

I get the following output, with a Segmentation Fault 11 error message.

Namespace(algo='ppo', batch_size=256, clip_eps=0.2, discount=0.99, entropy_coef=0.01, env='MiniGrid-DoorKey-5x5-v0', epochs=4, frames=80000, frames_per_proc=None, gae_lambda=0.95, log_interval=1, lr=0.001, max_grad_norm=0.5, mem=False, model='DoorKey', optim_alpha=0.99, optim_eps=1e-08, procs=16, recurrence=1, save_interval=10, seed=1, text=False, value_loss_coef=0.5)

Device: cpu

Environments loaded

Training status loaded

Observations preprocessor loaded
Model loaded

ACModel(
  (image_conv): Sequential(
    (0): Conv2d(3, 16, kernel_size=(2, 2), stride=(1, 1))
    (1): ReLU()
    (2): MaxPool2d(kernel_size=(2, 2), stride=(2, 2), padding=0, dilation=1, ceil_mode=False)
    (3): Conv2d(16, 32, kernel_size=(2, 2), stride=(1, 1))
    (4): ReLU()
    (5): Conv2d(32, 64, kernel_size=(2, 2), stride=(1, 1))
    (6): ReLU()
  )
  (actor): Sequential(
    (0): Linear(in_features=64, out_features=64, bias=True)
    (1): Tanh()
    (2): Linear(in_features=64, out_features=7, bias=True)
  )
  (critic): Sequential(
    (0): Linear(in_features=64, out_features=64, bias=True)
    (1): Tanh()
    (2): Linear(in_features=64, out_features=1, bias=True)
  )
)

Optimizer loaded

**Segmentation fault: 11**

Does anybody know what is going here?
Maybe @maximecb or @lcswillems you know if it's still related to this issue -> Farama-Foundation/Minigrid#77

Thanks in advance

[lcswillems]

Hi @riccardo-alle
I never saw this issue. Did you find a solution in the end?