Install Google Cloud's CLI, gcloud
, on your machine: https://cloud.google.com/sdk/downloads
Just grab a version and wget
it. Then run instructions on the website to install.
Install gsutil
: pip install gsutil
.
Authenticate: gsutil config
.
"*": | |
Repl: {} | |
"activate-power-mode": | |
autoToggle: false | |
"atom-beautify": | |
c: | |
default_beautifier: "clang-format" | |
cpp: | |
default_beautifier: "clang-format" | |
general: |
#!/bin/bash | |
# Basic environment stuff | |
sudo apt-get install -y \ | |
software-properties-common apt-utils build-essential linux-headers-$(uname -r) | |
# NVIDIA Drivers | |
sudo add-apt-repository ppa:graphics-drivers/ppa -y | |
sudo apt-get update |
Install Google Cloud's CLI, gcloud
, on your machine: https://cloud.google.com/sdk/downloads
Just grab a version and wget
it. Then run instructions on the website to install.
Install gsutil
: pip install gsutil
.
Authenticate: gsutil config
.
#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) { \ |
#include <cudnn.h> | |
#include <cassert> | |
#include <cstdlib> | |
#include <iostream> | |
#include <opencv2/opencv.hpp> | |
cv::Mat load_image(const char* image_path) { | |
cv::Mat image = cv::imread(image_path, CV_LOAD_IMAGE_COLOR); | |
image.convertTo(image, CV_32FC3); | |
cv::normalize(image, image, 0, 1, cv::NORM_MINMAX); |
import keras.backend as K | |
import matplotlib.pyplot as plot | |
import numpy as np | |
import tensorflow as tf | |
from keras.datasets import mnist | |
from keras.layers import (Activation, BatchNormalization, Conv2D, Dense, | |
Flatten, Input, LeakyReLU, Reshape, UpSampling2D) | |
from keras.models import Model | |
from keras.optimizers import Adam |
import os | |
import keras.backend as K | |
import matplotlib.pyplot as plot | |
import numpy as np | |
import tensorflow as tf | |
from keras.datasets import mnist | |
from keras.initializers import TruncatedNormal | |
from keras.layers import (Activation, BatchNormalization, Conv2D, | |
Conv2DTranspose, Dense, Input, LeakyReLU, |
#!/usr/bin/env python3 | |
import argparse | |
import math | |
import numpy as np | |
import scipy.misc | |
import time | |
def generate_rectangle(x_0, y_0, width, height, color, max_dimension): |
// Clang includes | |
#include "clang/AST/ASTConsumer.h" | |
#include "clang/AST/ASTContext.h" | |
#include "clang/AST/Expr.h" | |
#include "clang/ASTMatchers/ASTMatchFinder.h" | |
#include "clang/ASTMatchers/ASTMatchers.h" | |
#include "clang/Basic/Diagnostic.h" | |
#include "clang/Basic/SourceLocation.h" | |
#include "clang/Frontend/FrontendAction.h" | |
#include "clang/Rewrite/Frontend/FixItRewriter.h" |
#ifndef USE_OVERRIDE_HPP | |
#define USE_OVERRIDE_HPP | |
// Clang includes | |
#include "clang/AST/AST.h" | |
#include "clang/AST/ASTConsumer.h" | |
#include "clang/AST/ASTContext.h" | |
#include "clang/AST/AttrIterator.h" | |
#include "clang/AST/Decl.h" | |
#include "clang/AST/DeclCXX.h" |