robgrzel

find_package(Threads REQUIRED)

ExternalProject_Add(
  googletest
  GIT_REPOSITORY https://github.com/google/googletest.git
  UPDATE_COMMAND ""
  INSTALL_COMMAND ""
  LOG_DOWNLOAD ON
  LOG_CONFIGURE ON
  LOG_BUILD ON)

robgrzel

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

###Array ####Definition:

• Stores data elements based on an sequential, most commonly 0 based, index.
• Based on tuples from set theory.

robgrzel

#!/bin/bash
#

not_root() {
    echo "ERROR: You have to be root to execute this script"
    exit 1
}

zram_exists() {
    echo "ERROR: /etc/init.d/zram already exists"

robgrzel

#include <cudnn.h>
#include <cassert>
#include <cstdlib>
#include <iostream>
#include <opencv2/opencv.hpp>

#define checkCUDNN(expression)                               \
  {                                                          \
    cudnnStatus_t status = (expression);                     \
    if (status != CUDNN_STATUS_SUCCESS) {                    \

robgrzel

#include <iostream>
#include <vector>
#include <string>
using std::string;

/*
	These macros define a struct with an implicitly defined Show function that visits each member.
	The trick is that a typedef is split between each STRUCT_MEMBER instance and the preceding macro,
	which allows it to define an empty struct type that identifies the following struct member, while also
	knowing the struct type that the preceding macro is using to identify the current member.

robgrzel

#include <iomanip>
#include <iostream>
#include <cstdlib>
#include <vector>

#include <cuda.h>
#include <cudnn.h>

#define CUDA_CALL(f) { \
  cudaError_t err = (f); \

robgrzel

//
//  onehiddenlayerperceptron.cu
//  onehiddenlayerperceptron
//
//  Created by Sergei Bugrov on 8/21/17.
//  Copyright © 2017 Sergei Bugrov. All rights reserved.
//

#include <stdio.h>

robgrzel

#include <iostream>
#include <iomanip>
#include <cstdlib>

#include <thrust/device_vector.h>

/*
 * --- Using Thrust vectors in kernel functions ---
 * This example demonstrates how we can use device vectors (vectors that live
 * in GPU) as arguments to a kernel launched by the CPU.

robgrzel

# For Windows users# Note: <> denotes changes to be made

#Create a conda environment
conda create --name <environment-name> python=<version:2.7/3.5>

#To create a requirements.txt file:
conda list #Gives you list of packages used for the environment

conda list -e > requirements.txt #Save all the info about packages to your folder