| import hashlib | |
| import struct | |
| import sqlite3 | |
| def md5hash(buf): | |
| return hashlib.md5(buf.encode("utf-16")[2:]).digest() | |
| def md5cmp(buf, postfix, a1, a2, a3, a4): | |
| if len(buf) < postfix: | |
| return False |
| absl-py==0.8.1 | |
| aiohttp==3.7.4.post0 | |
| aiohttp-cors==0.7.0 | |
| aioredis==1.3.1 | |
| aiosignal==1.2.0 | |
| astunparse==1.6.3 | |
| async-timeout==3.0.1 | |
| atari-py==0.2.9 | |
| attrs==19.3.0 | |
| backcall==0.2.0 |
| import numpy as np | |
| from .lib import pyflare as fl | |
| from .fish_env_basic import FishEnvBasic | |
| import torch | |
| from ray.rllib.env.apis.task_settable_env import TaskSettableEnv | |
| class KoiCruisingEnv(FishEnvBasic, TaskSettableEnv): | |
| def __init__(self, | |
| control_dt=0.2, | |
| wp= np.array([0.0,1.0]), |
| (RolloutWorker pid=116297) visulization data save folder /home/game/wy/gym-fish/gym_fish/envs/data/ | |
| (RolloutWorker pid=116297) CUDA error at xxx.cpp:17 code=100(cudaErrorNoDevice) "cudaMalloc((void **)&data_gpu.nodeIdx, sizeof(int))" | |
| Traceback (most recent call last): | |
| File "ppo_custom.py", line 211, in <module> | |
| trainer = ppo.PPOTrainer(config=ppo_config, env="myEnv") | |
| File "/opt/conda/envs/gym-fish/lib/python3.6/site-packages/ray/rllib/agents/trainer_template.py", line 103, in __init__ | |
| remote_checkpoint_dir, sync_function_tpl) | |
| File "/opt/conda/envs/gym-fish/lib/python3.6/site-packages/ray/rllib/agents/trainer.py", line 662, in __init__ | |
| sync_function_tpl) | |
| File "/opt/conda/envs/gym-fish/lib/python3.6/site-packages/ray/tune/trainable.py", line 121, in __init__ |
| root@ec2bf3896c8b:/home/game/pisac# ./xvfb-run-safe python -m pisac.run --root_dir=/tmp/pisac_cartpole_swingup --gin_file=pisac/config/pisac.gin --gin_bindings=train_pisac.train_eval.domain_name=\'cartpole\' --gin_bindings=train_pisac.train_eval.task_name=\'swingup\' --gin_bindings=train_pisac.train_eval.action_repeat=4 --gin_bindings=train_pisac.train_eval.initial_collect_steps=1000 --gin_bindings=train_pisac.train_eval.initial_feature_step=5000 gin_bindings=train_pisac.train_eval.drivers_in_graph=False | |
| 2022-01-08 11:59:02.458894: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1 | |
| 2022-01-08 11:59:03,907: MUJOCO_GL is not set, so an OpenGL backend will be chosen automatically. | |
| 2022-01-08 11:59:04,056: Successfully imported OpenGL backend: glfw | |
| 2022-01-08 11:59:04,194: MuJoCo library version is: 200 | |
| Traceback (most recent call last): | |
| File "/usr/lib/python3.6/runpy.py", line 193, in _run_module_as_main | |
| "__main__", mod_spec) | |
| File "/usr/l |
| - Device platform: arm64-v8a | |
| - Installing: 23.0 (23000) | |
| - Copying image to cache | |
| - Unpacking boot image | |
| Parsing boot image: [/data/user_de/0/com.topjohnwu.magisk/install/boot.img] | |
| HEADER_VER [3] | |
| KERNEL_SZ [50481164] | |
| RAMDISK_SZ [19855248] | |
| OS_VERSION [11.0.0] | |
| OS_PATCH_LEVEL [2021-11] |
| # Create a new repository on the command line | |
| touch README.md | |
| git init | |
| git add README.md | |
| git commit -m "first commit" | |
| git remote add origin https://github.com/c0ldlimit/vimcolors.git | |
| git push -u origin master | |
| # Push an existing repository from the command line |
| The output from `lsblk` shows that you have two large disks (`nvme0n1` and `nvme1n1`) that are 3.5T in size but do not have any partitions or filesystems. If you want to increase the size of your `/` filesystem, you can't do it directly because it's currently on a smaller disk (`nvme2n1`) which is completely used. | |
| A better approach would be to create a new partition on one of the larger disks, create a filesystem on it, and then move your data from the smaller disk to the new filesystem on the larger disk. Here is an outline of the steps you would need to take. | |
| **Disclaimer: This process can result in data loss if not done carefully. Always backup important data before attempting these steps.** | |
| 1. **Create a new partition on one of the larger disks** | |
| Before you create a new partition, you need to check if there is free space available. If there is no free space, you may need to shrink or delete an existing partition. |
