To create an anchor to a heading in github flavored markdown.
Add - characters between each word in the heading and wrap the value in parens (#some-markdown-heading)
so your link should look like so:
[create an anchor](#anchors-in-markdown)
1. Check Python3 root | |
>>> import sys | |
>>> import os | |
>>> sys.executable | |
'/usr/local/bin/python3' | |
OR | |
$ which python3 | |
/usr/local/bin/python3 |
Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...
// see: https://github.com/chadoe/docker-cleanup-volumes
$ docker volume rm $(docker volume ls -qf dangling=true)
$ docker volume ls -qf dangling=true | xargs -r docker volume rm
""" | |
Python implementation of the color map function for the PASCAL VOC data set. | |
Official Matlab version can be found in the PASCAL VOC devkit | |
http://host.robots.ox.ac.uk/pascal/VOC/voc2012/index.html#devkit | |
""" | |
import numpy as np | |
from skimage.io import imshow | |
import matplotlib.pyplot as plt | |
def color_map(N=256, normalized=False): |
import sys, getopt | |
import tensorflow as tf | |
usage_str = 'python tensorflow_rename_variables.py --checkpoint_dir=path/to/dir/ ' \ | |
'--replace_from=substr --replace_to=substr --add_prefix=abc --dry_run' | |
def rename(checkpoint_dir, replace_from, replace_to, add_prefix, dry_run): | |
checkpoint = tf.train.get_checkpoint_state(checkpoint_dir) |
Building Tensorflow from source on Ubuntu 16.04LTS for maximum performance:
TensorFlow is now distributed under an Apache v2 open source license on GitHub.
On Ubuntu 16.04LTS+:
Step 1. Install NVIDIA CUDA:
To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit as shown:
import argparse | |
import sys | |
from tensorflow.examples.tutorials.mnist import input_data | |
from time import time | |
t0 = time() | |
import tensorflow as tf | |
tf.summary.FileWriterCache.clear() |
import datetime | |
import linecache | |
import os | |
import pynvml3 | |
import torch | |
print_tensor_sizes = True | |
last_tensor_sizes = set() | |
gpu_profile_fn = f'{datetime.datetime.now():%d-%b-%y-%H:%M:%S}-gpu_mem_prof.txt' |
#!/bin/bash | |
# add the GPG key for the official Docker repository to the system | |
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - | |
# add the Docker repository to APT sources | |
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" | |
# update the package database with the Docker packages from the newly added repo | |
sudo apt-get update |