tats-u

root = true

[*]
charset = utf-8
end_of_line = lf
indent_style = space
indent_size = 2
insert_final_newline = true
trim_trailing_whitespace = true
tab_width = 8

brunojppb

How to setup Redmine 4 on Ubuntu 18.04

Prerequisites:

Full SSH root access or a user with sudo privileges.

Step 1: Connect to your Server

To connect to your server via SSH as the root user, use the following command:

baiwfg2

# References:
# https://cmake.org/cmake/help/latest/command/add_custom_target.html
# https://samthursfield.wordpress.com/2015/11/21/cmake-dependencies-between-targets-and-files-and-custom-commands/
# https://gist.github.com/socantre/7ee63133a0a3a08f3990
# https://stackoverflow.com/questions/24163778/how-to-add-custom-target-that-depends-on-make-install
# https://stackoverflow.com/questions/30719275/add-custom-command-is-not-generating-a-target
# https://stackoverflow.com/questions/26024235/how-to-call-a-cmake-function-from-add-custom-target-command
# https://blog.csdn.net/gubenpeiyuan/article/details/51096777

cmake_minimum_required(VERSION 3.10)

satriahrh

PNG++ Installation on Ubuntu 16.04

Full documentation --> https://www.nongnu.org/pngpp/doc/0.2.9/

Requirements

The libpng it self, in Ubuntu 16.04 you can follow sudo apt install libpng12-dev.

The Steps

1. Grab the lattest file here aka 0.2.9
2. Go to download directory.

ptrblck

import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
import torch.nn.functional as F

import matplotlib.pyplot as plt

import numpy as np

Cartexius

Reference - https://www.eriksmistad.no/getting-started-with-google-test-on-ubuntu/

sudo apt-get install libgtest-dev

sudo apt-get install cmake # install cmake

cd /usr/src/gtest

sudo cmake CMakeLists.txt

atinfinity

#include <opencv2/core.hpp>
#include <opencv2/core/cuda.hpp>
#include <cuda_runtime.h>
#include <device_launch_parameters.h>
#include <iostream>

int main(int argc, const char * argv[])
{
    cudaFree(0); // dummy call

maxim5

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from __future__ import print_function

__author__ = 'maxim'

import numpy as np
import gensim
import string

hsinewu

#include <iostream>
#include <algorithm>
using namespace std;

int find_substring(string str, string pattern) {

	// Step 0. Should not be empty string
	if( str.size() == 0 || pattern.size() == 0)
		return -1;

ruslangrimov

import tensorflow as tf
from tensorflow.python.client import timeline
from keras import backend as K

run_options = tf.RunOptions(trace_level=tf.RunOptions.FULL_TRACE)
run_metadata = tf.RunMetadata()

model = ...  # A Keras model

fn = K.function(model.inputs, model.outputs, options=run_options, run_metadata=run_metadata)