Segmentation fault (core dumped)

[zcswdt]

When I was running the training code, the following error occurred，may I ask how to solve this

python train.py

Training with GPU Created progress directory to: /remote-home/2210975/cloth/dynamic-cloth-folding/trainings/default-run-0 Popen(['git', 'init'], cwd=/remote-home/2210975/cloth/dynamic-cloth-folding/submodules/mujoco-py, universal_newlines=False, shell=None, istream=None) Popen(['git', 'cat-file', '--batch-check'], cwd=/remote-home/2210975/cloth/dynamic-cloth-folding/submodules/mujoco-py, universal_newlines=False, shell=None, istream=) Popen(['git', 'cat-file', '--batch'], cwd=/remote-home/2210975/cloth/dynamic-cloth-folding/submodules/mujoco-py, universal_newlines=False, shell=None, istream=) Popen(['git', 'init'], cwd=/remote-home/2210975/cloth/dynamic-cloth-folding/submodules/rlkit, universal_newlines=False, shell=None, istream=None) Popen(['git', 'cat-file', '--batch-check'], cwd=/remote-home/2210975/cloth/dynamic-cloth-folding/submodules/rlkit, universal_newlines=False, shell=None, istream=) Popen(['git', 'cat-file', '--batch'], cwd=/remote-home/2210975/cloth/dynamic-cloth-folding/submodules/rlkit, universal_newlines=False, shell=None, istream=) Popen(['git', 'init'], cwd=/remote-home/2210975/cloth/dynamic-cloth-folding/submodules/robosuite, universal_newlines=False, shell=None, istream=None) Popen(['git', 'cat-file', '--batch-check'], cwd=/remote-home/2210975/cloth/dynamic-cloth-folding/submodules/robosuite, universal_newlines=False, shell=None, istream=) Popen(['git', 'cat-file', '--batch'], cwd=/remote-home/2210975/cloth/dynamic-cloth-folding/submodules/robosuite, universal_newlines=False, shell=None, istream=) Popen(['git', 'init'], cwd=/remote-home/2210975/cloth/dynamic-cloth-folding, universal_newlines=False, shell=None, istream=None) Popen(['git', 'cat-file', '--batch-check'], cwd=/remote-home/2210975/cloth/dynamic-cloth-folding, universal_newlines=False, shell=None, istream=) Popen(['git', 'cat-file', '--batch'], cwd=/remote-home/2210975/cloth/dynamic-cloth-folding, universal_newlines=False, shell=None, istream=) 2023-06-13 02:32:10.319252 UTC | Variant: 2023-06-13 02:32:10.320003 UTC | { "algorithm": "SAC", "title": "default-run-0", "save_folder": "/remote-home/2210975/cloth/dynamic-cloth-folding/trainings/default-run-0", "random_seed": 0, "randomization_kwargs": { "lights_randomization": true, "materials_randomization": true, "camera_position_randomization": true, "lookat_position_randomization": true, "lookat_position_randomization_radius": 0.03, "dynamics_randomization": true, "albumentations_randomization": true, "cloth_size": 0.2, "camera_type": "side", "camera_config": { "type": "small", "fovy_range": [ 13, 15 ], "height": 100, "width": 848 }, "position_perturbation_size": 0.2, "rotation_perturbation_size": 0.75, "fovy_perturbation_size": 0.05 }, "value_function_kwargs": { "fc_layer_size": 512, "fc_layer_depth": 5 }, "policy_kwargs": { "input_width": 100, "input_height": 100, "input_channels": 1, "kernel_sizes": [ 3, 3, 3, 3 ], "n_channels": [ 32, 32, 32, 32 ], "strides": [ 2, 2, 2, 2 ], "paddings": [ 0, 0, 0, 0 ], "hidden_sizes_aux": [ 256, 8 ], "hidden_sizes_main": [ 256, 256, 256, 256 ], "init_w": 0.0001, "aux_output_size": 9 }, "env_kwargs": { "save_folder": "/remote-home/2210975/cloth/dynamic-cloth-folding/trainings/default-run-0", "timestep": 0.01, "success_distance": 0.05, "robot_observation": "ctrl", "control_frequency": 10, "ctrl_filter": 0.03, "kp": 1000.0, "frame_stack_size": 1, "damping_ratio": 1, "success_reward": 0, "fail_reward": -1, "extra_reward": 1, "output_max": 0.03, "max_close_steps": 10, "sparse_dense": true, "goal_noise_range": [ 0.0, 0.03 ], "image_obs_noise_mean": 0.5, "image_obs_noise_std": 0.5, "model_kwargs_path": "./data/model_params.csv" }, "eval_kwargs": { "save_images_every_epoch": 10, "num_runs": 20, "max_path_length": 50, "additional_keys": "['robot_observation']", "frame_stack_size": 1, "save_blurred_images": true, "save_folder": "/remote-home/2210975/cloth/dynamic-cloth-folding/trainings/default-run-0" }, "algorithm_kwargs": { "num_epochs": 100, "num_trains_per_train_loop": 1000, "num_expl_steps_per_train_loop": 1000, "num_train_loops_per_epoch": 20, "max_path_length": 50, "save_policy_every_epoch": 1, "batch_size": 256, "num_demoers": 0, "save_folder": "/remote-home/2210975/cloth/dynamic-cloth-folding/trainings/default-run-0" }, "path_collector_kwargs": { "additional_keys": "['robot_observation']", "demo_paths": "['./data/demos.csv']", "demo_divider": 0.03, "num_processes": 1 }, "replay_buffer_kwargs": { "max_size": 100000, "fraction_goals_rollout_goals": 0.19999999999999996, "internal_keys": "['image', 'robot_observation']" }, "trainer_kwargs": { "discount": 0.99, "soft_target_tau": 0.005, "target_update_period": 1, "policy_lr": 0.0003, "qf_lr": 0.0003, "reward_scale": 1, "use_automatic_entropy_tuning": true, "corner_prediction_loss_coef": 0.001 } } Training started Segmentation fault (core dumped)

[hietalajulius]

Looks like something is segfaulting on your system. Can you try running with e.g. gdb to see further details?

[zcswdt]

Looks like something is segfaulting on your system. Can you try running with e.g. gdb to see further details?

I have already resolved it, thank you

[anh-nn01]

Hi @zcswdt, I am having the same problem. Can you share me what you did to resolve it?

[ZoeQU]

I have the same question, Does anyone know how to solve it?

[zcswdt]

I have the same question, Does anyone know how to solve it?

yes ,i do。

[yuhangz]

I have the same question, Does anyone know how to solve it?

yes ,i do。

Could you share me how to solve it?

[ZoeQU]

I have a new wrong situation here: after python train.py and I get this error:

UserWarning: Pydantic serializer warnings: Expected Union[float, tuple[float, float]] but got list - serialized value may not be as expected

could anyone help me?

[hietalajulius]

@zcswdt would you be able to share how you resolved the segfault as others seem to struggle with it as well? Thanks!

[yuhangz]

I have solved this problem. You could solve it by reinstalling mujoco_py with source code.

[zcswdt]

@zcswdt would you be able to share how you resolved the segfault as others seem to struggle with it as well? Thanks!

I'm really sorry. I just saw your email recently. Later, I still couldn't run the real robot arm experiment, so I gave up the project and switched to the flingbot project. I didn't record how I solved it at that time. I'm really sorry. Thank you for your help.