a-maumau

"""
for Ubuntu 14.04, CUDA8.0
I checked that this is woking on 10/31/2017 in JST
someday it will not...
"""

# Set repository, suck the official.
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update
# Select latest nvidia driver [ex. nvidia-381], not nvidia-#-dev

a-maumau

#!/bin/bash

# [ expr ], I'm really mad of "space"["space"expr"space"]"space" thing...

if [ $# -eq 1 ]; then
    eval "watch -n ${1} nvidia-smi"
elif [ $# -eq 0 ]; then
    eval "watch -n 0.5 nvidia-smi"
else
    echo "1 argument please."

a-maumau

if you can access to the GUI environment, It is very easy using "disks" application.

or might be easy with gdisk/fdisk ?   I'm not sure about this.  

------------------------------------------------------------------------  

see the reference for more detail, if you want.
https://richardstechnotes.wordpress.com/2015/12/18/setting-up-an-nvme-ssd-on-ubuntu-14-04-lts/   http://takatakamanbou.hatenablog.com/entry/2015/10/25/235600 : Japanese website

a-maumau

#!/bin/bash

# for insurance to avoid catastrophe
set -Ceu

RC_FILE=0

# find default shell rc file of major shells
if [[ $(echo $SHELL | grep bash) ]]; then
    RC_FILE=$HOME/.bashrc

a-maumau

解決方法？

Ubuntuを起動すると稀にGUIが立ち上がらなかったりログインループにハマることあがある。
http://may46onez.hatenablog.com/entry/2016/02/26/020208
とかで解決できます。

# ssh経由でも可
# control+Alt+F1でCUIの画面に遷移できる

# Xwindow認証関係の死なら
rm .Xauthority .ICEauthority

a-maumau

https://qiita.com/amedama/items/b856b2f30c2f38665701

from logging import getLogger
logger = getLogger(__name__)

頑張ります・・・

pathlib

# こういうとこだけマジクソ感あるけど、他は優秀？

a-maumau

;;; Code:

(deftheme julietta
  "julietta theme")

(let ((julietta-fg "#c6a57b")
      (julietta-bg-1 "#101010")
      (julietta-bg "#151515")
      (julietta-bg+1 "#202020")
      (julietta-bg+2 "#505050")

a-maumau

import os

### geopandas must be imported earlier than osgeo ###
import geopandas as gpd
from osgeo import gdal, ogr, osr
import numpy as np
import scipy
from scipy.misc import bytescale
import osmnx
import cv2

a-maumau

for img, mask, original_img in _trainval_loader:
                batch_size = img.shape[0]
                images = to_var(img, volatile=True)

                #outputs = model.inference(images)
                outputs = model(images)
                outputs = F.softmax(outputs, dim=1)

                # CRF ##############################################################################
                crf_output = np.zeros(outputs.shape)

a-maumau

a

汎

使い方

from datetime import datetime