Ouwen

#!/bin/bash

# "Check if docker is installed..."
if ! command -v docker &> /dev/null; then
    # Add Docker's official GPG key:
    sudo apt-get update
    sudo apt-get -y install ca-certificates curl
    sudo install -m 0755 -d /etc/apt/keyrings
    sudo curl -fsSL https://download.docker.com/linux/debian/gpg -o /etc/apt/keyrings/docker.asc
    sudo chmod a+r /etc/apt/keyrings/docker.asc

Ouwen

import { api } from 'dicomweb-client'; // see: https://www.npmjs.com/package/dicomweb-client

const c = {
    name: 'aws',
    wadoUriRoot: 'https://.../dicomweb',
    qidoRoot: 'https://.../dicomweb',
    wadoRoot: 'https://.../dicomweb',
    qidoSupportsIncludeField: false,
    supportsReject: false,
    imageRendering: 'wadors',

Ouwen

from functools import partial 
# Try to code partial from scratch! (hint, use *args and **kwargs as parameter catch alls)

def function_with_several_params(a='None', b='None'):
  print(a, b)

tmp = partial(function_with_several_params, a='hello')
tmp(b='goodbye')

Ouwen

def partial(fn, *fargs, **fkwargs):
  def wrapper_fn(*args, **kwargs):
    return fn(*fargs, *args, **fkwargs, **kwargs)
  return wrapper_fn

def function_with_several_params(a='None', b='None'):
  print(a, b)

tmp_fn = partial(function_with_several_params, a='hello')

Ouwen

"""TODO(isic): Add a description here."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import tensorflow_datasets as tfds

# TODO(isic): BibTeX citation
_CITATION = """

Ouwen

import tensorflow as tf

g1 = tf.Graph()

with g1.as_default():   
    v = tf.get_variable(name="v", shape=(), initializer=tf.glorot_uniform_initializer())
    saver = tf.train.Saver()
    
sess = tf.Session(graph=g1);
saver.restore(sess, "/tmp/model.ckpt")

Ouwen

import tensorflow as tf

g1 = tf.Graph()

with g1.as_default():   
    v = tf.get_variable(name="v", shape=(), initializer=tf.glorot_uniform_initializer())
    saver = tf.train.Saver()
    
sess = tf.Session(graph=g1);
sess.run(v.initializer)

Ouwen

import tensorflow as tf

g1 = tf.Graph()

with g1.as_default():   
    v = tf.get_variable(name="v", shape=(), initializer=tf.zeros_initializer())

sess = tf.Session(graph=g1);
sess.run(v.initializer)
# sess.run(tf.global_variables_initializer())

Ouwen

import tensorflow as tf

g1 = tf.Graph()
with g1.as_default():
    # Add a single variable to our graph
    v = tf.get_variable(name="v", shape=(), initializer=tf.glorot_uniform_initializer())

sess = tf.Session(graph=g1)
sess.run(v.initializer) # Run just the initializer on our variable

Ouwen

import tensorflow as tf

g1 = tf.Graph()

with g1.as_default():
    my_input = tf.constant([-1,0,1], dtype=tf.float16, name="input")
    my_printed_input = tf.Print(my_input, [], message="Running the graph", name="print")
    a = tf.square(my_printed_input, name="A")
    b = tf.cos(a, name="B")
    c = tf.sin(a, name="C")