On every machine in the cluster install conda
and mlx-lm
:
conda install openmpi
pip install -U mlx-lm
Next download the pipeline parallel run script. Download it to the same path on every machine:
On every machine in the cluster install conda
and mlx-lm
:
conda install openmpi
pip install -U mlx-lm
Next download the pipeline parallel run script. Download it to the same path on every machine:
# -*- coding: utf-8 -*- | |
# /// script | |
# dependencies = ["yattag", "urdfpy", "scipy"] | |
# /// | |
# Usage: | |
# pipx run urdf_to_ravexml.py --urdf path/to/urdffile.urdf --robotxmldir $(pwd)/robots/ --meshprefix robots/meshes/ | |
from scipy.spatial.transform import Rotation as R | |
from urdfpy import URDF |
I hereby claim:
To claim this, I am signing this object:
curl https://gist.githubusercontent.com/ompugao/d98780de08f3e71caffbfc0cd8522e6e/raw/fcf708f6ef9d98ed924c4a4c8485c84c12aae7b3/setup.sh | /bin/bash |
# settings for when connected to a power source | |
[charger] | |
# see available governors by running: cat /sys/devices/system/cpu/cpu0/cpufreq/scaling_available_governors | |
# preferred governor. | |
governor = performance | |
# minimum cpu frequency (in kHz) | |
# example: for 800 MHz = 800000 kHz --> scaling_min_freq = 800000 | |
# see conversion info: https://www.rapidtables.com/convert/frequency/mhz-to-hz.html | |
# to use this feature, uncomment the following line and set the value accordingly |
from casadi import * | |
import math | |
import numpy as np | |
class MPC: | |
def __init__(self): | |
# 問題設定 | |
T = 1.0 # ホライゾン長さ (MPCなので短め) | |
N = 20 # ホライゾン離散化グリッド数 (MPCなので荒め) |
15c15,18 | |
< allowed_users=console | |
--- | |
> | |
> # allowed_users=console | |
> allowed_users=anybody | |
> needs_root_rights=yes# from | |
diff --git a/.gitignore b/.gitignore | |
index d6136dbab..956bb7caf 100644 | |
--- a/.gitignore | |
+++ b/.gitignore | |
@@ -8,3 +8,4 @@ msvc_soqt/ | |
src/models/ | |
myrelpath.pyc | |
+build | |
diff --git a/CMakeLists.txt b/CMakeLists.txt |