xmaayy

<template>
  <v-col cols="11" sm="7" md="7">
    <div v-if="load && content_location != ''" class="rounded-xl">
      <v-progress-linear
        v-if="!isLoaded && load"
        indeterminate
        color="teal"
      ></v-progress-linear>
      <v-img
        v-bind:src="content_location"

xmaayy

<template>
  <v-col cols="11" sm="7" md="7">
    <div v-if="load && content_location != ''" class="rounded-xl">
      <v-progress-linear
        v-if="!isLoaded && load"
        indeterminate
        color="teal"
      ></v-progress-linear>
      <v-img
        v-bind:src="content_location"

xmaayy

// PostMalone.SuperDuperMalware
using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.IO;
using System.IO.Compression;
using System.Linq;
using System.Net;
using System.Text;
using System.Threading;

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#include <iostream>
#include <fstream>
#include <math.h>
#include <time.h>

using namespace std;

class Screen {  
public:
    int *red;

xmaayy

Would you like to use debug mode? [y/n] y
Running in DEBUG MODE
Using default test case (0).
Allocated shared memory.
Parent aquiring locks and filling values.
Parent holds all locks and values are initialized.
Parent released locks. The array is: 5 6 8 2 7 
Created child process responsible for numbers 5 and 6
Created child process responsible for numbers 6 and 8
I am worker 0 and I handle numbers 5 and 6

xmaayy

"""
Written by Xander May on the 15th of January 2019 to accompany the blogpost on IMRSV.ai
discussing knowledge distillation.

This file trains 10 seperate networks for the prupose of testing the efficacy of the
Knowledge Distillation method.
"""

import pdb
import os

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import tensorflow as tf
import os

batch_size = 32
img_size=64
num_channels = 3;
num_classes = 41;

## labels
img_data = tf.placeholder(tf.float32, shape=[None, img_size, img_size, num_channels], name='img_data')