achimnol

description "CUDA initialization without X environments"

start on runlevel [2345]
stop on runlevel [!2345]

pre-start script
    DRIVER=nvidia
    HOLD_GPU=/usr/local/bin/hold_gpu.py

    [ -x "$HOLD_GPU" ] || { echo "$HOLD_GPU is missing or not executable!"; exit 1; }

stevenvo

# sort array with regards to nth column
arr = arr[arr[:,n].argsort()]

ramhiser

import pandas as pd
import numpy as np
from sklearn.feature_extraction import DictVectorizer
 
def encode_onehot(df, cols):
    """
    One-hot encoding is applied to columns specified in a pandas DataFrame.
    
    Modified from: https://gist.github.com/kljensen/5452382
    

spro

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

class RNN(nn.Module):
    def __init__(self, input_size, hidden_size, output_size, n_layers=1):
        super(RNN, self).__init__()
        self.input_size = input_size
        self.hidden_size = hidden_size

classilla

diff --git a/hw/ppc/pnv.c b/hw/ppc/pnv.c
index c9cb6fa3..c1f43310 100644
--- a/hw/ppc/pnv.c
+++ b/hw/ppc/pnv.c
@@ -23,16 +23,17 @@
 #include "qapi/error.h"
 #include "sysemu/sysemu.h"
 #include "sysemu/numa.h"
 #include "sysemu/reset.h"
 #include "sysemu/runstate.h"

lost-theory

import time

from flask import Flask, request, g, render_template

app = Flask(__name__)
app.config['DEBUG'] = True

@app.before_request
def before_request():
    g.request_start_time = time.time()

Brainiarc7

Building Tensorflow from source on Ubuntu 16.04LTS for maximum performance:

TensorFlow is now distributed under an Apache v2 open source license on GitHub.

On Ubuntu 16.04LTS+:

Step 1. Install NVIDIA CUDA:

To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit as shown:

bridgeythegeek

My First PANDA

Introduction

Being someone who tries to play a lot with Windows memory, I really wanted to play with PANDA, but I was slightly scared because I'd never touched qemu before - all my experience had been with VirtualBox and VMware.

My goal was to install PANDA into a (relatively) clean install of Debian 8 'Jessie', capture a recording and successfully run a PANDA plugin.

1. Get PANDA

KodrAus

Profiling performance

Using perf:

$ perf record -g binary
$ perf script | stackcollapse-perf.pl | rust-unmangle | flamegraph.pl > flame.svg

NOTE: See @GabrielMajeri's comments below about the -g option.

Shaltz

(source : http://injustfiveminutes.com/category/openldap)

How to fix “ldif_read_file: checksum error”
Posted on October 28, 2014	
15

Well, in spite of you did read a banner saying “# AUTO-GENERATED FILE – DO NOT EDIT!! Use ldapmodify.” you ignored it and made some manual modifications in any of the LDIF files in /etc/ldap/slapd.d/.

Don’t worry it happened to me too :) When you need to quickly setup an openLDAP server for development it is pretty much easier to tweak these files although the recommended way is to use ldapmodify tool. But if you change the LDIF files in cn=config manually, their contents and checksums won’t match, which is not fatal, but is annoying when using tools such as slapcat: