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
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**
Hello there!
I've just cloned the repository, installed the environment, and checking if it's working by launching (as described in README):
I get the following output, with a
Segmentation Fault 11error message.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