harusametime

harusametime

import boto3

redshift = boto3.client('redshift')
credentials = redshift.get_cluster_credentials(
    DbUser='demouser', 
    DbName='dev', 
    ClusterIdentifier='redshiftml', 
    DurationSeconds=3600,
    AutoCreate=False
)

harusametime

harusametime

harusametime

harusametime

import os
import argparse
import tensorflow as tf

# global variables
width = 28
height = 28
n_class = 10

# tfrecord parser

harusametime

harusametime

harusametime

What

This is how to install Fujixerox C5000-d printer in ubuntu 16.04. Unfotunately, the official printer driver is too old to be compatibe with latest ubuntu.

Step

1. Download "fxlinuxprint_1.1.0+ds.orig.tar.xz" in Launchpad[https://launchpad.net/ubuntu/+source/fxlinuxprint/1.1.0+ds-2]
2. Extract the tar.xz file.

tar Jxfv fxlinuxprint_1.1.0+ds.orig.tar.xz

3. Search and run "Printer" from "Dash" that is the top icon in launcher

harusametime

Problem

When passing big arrays to joblib.Parallel in docker container, parallel processing does not start immediately.

Why?

Joblib uses the folder specified by "JOBLIB_TEMP_FOLDER" for memmap of the arrays. Without specifying, JOBLIB_TEMP_FOLDER is set to /dev/shm, which usually has small size and is not enough for the big arrays.

https://pythonhosted.org/joblib/generated/joblib.Parallel.html

Solution

• Set JOBLIB_TEMP_FOLDER