fmela

/*
 * Copyright (c) 2009-2017, Farooq Mela
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *
 * 1. Redistributions of source code must retain the above copyright
 *    notice, this list of conditions and the following disclaimer.
 * 2. Redistributions in binary form must reproduce the above copyright

rocarvaj

" VIM Configuration File
" Description: Optimized for C/C++ development, but useful also for other things.
" Author: Gerhard Gappmeier
"

" set UTF-8 encoding
set enc=utf-8
set fenc=utf-8
set termencoding=utf-8
" disable vi compatibility (emulation of old bugs)

hail2u

" Cycle metasyntactic variables
function! s:CycleMetasyntacticVariables(num)
  if type(a:num) != type(0)
    return
  endif

  let vars = ['foo', 'bar', 'baz', 'qux', 'quux', 'corge', 'grault', 'garply', 'waldo', 'fred', 'plugh', 'xyzzy', 'thud']
  let cvar = expand('<cword>')
  let i = index(vars, cvar)

d11wtq

docker run -rm -t -i -v $(dirname $SSH_AUTH_SOCK) -e SSH_AUTH_SOCK=$SSH_AUTH_SOCK ubuntu /bin/bash

ktnyt

import argparse
import numpy as np
from chainer import Variable, FunctionSet, optimizers, cuda
import chainer.functions  as F
import cv2
import random
import cPickle as pickle
import sys

class ConvolutionalAutoencoder(FunctionSet):

bgshih

import ipdb
import numpy as np
import numpy.linalg as nl
import matplotlib.pyplot as plt
from scipy.spatial.distance import pdist, cdist, squareform

def makeT(cp):
    # cp: [K x 2] control points
    # T: [(K+3) x (K+3)]
    K = cp.shape[0]

mohanpedala

Table of Contents

• set -e, -u, -x, -o pipefail
• set -e
• set -x
• set -u
• set -o pipefail
• Setting IFS
• Original Reference

set -e, -u, -x, -o pipefail

jjstill

# Starting minikube with 8Gb of memory and 3 CPUs
minikube --memory 8192 --cpus 3 start

# Creating separate Namespace for Spark driver and executor pods
kubectl create namespace spark

# Creating ServiceAccount and ClusterRoleBinding for Spark 
kubectl create serviceaccount spark-serviceaccount --namespace spark
kubectl create clusterrolebinding spark-rolebinding --clusterrole=edit --serviceaccount=spark:spark-serviceaccount --namespace=spark

olibre

C++ : Polymorphic inheritance without vtable

Inheritance and Virtual Table are often used to create interface in C++ polymorphic class
What if ... there were another way to do this ?
easier, cleaner, faster and more reliable
This article explains how to use CRTP, [std::variant](https://en.cppreference.com/w/cpp/utility/variant and std::visit to increase code performance.

Table of content

1. Introduction

thomwolf

def top_k_top_p_filtering(logits, top_k=0, top_p=0.0, filter_value=-float('Inf')):
    """ Filter a distribution of logits using top-k and/or nucleus (top-p) filtering
        Args:
            logits: logits distribution shape (vocabulary size)
            top_k >0: keep only top k tokens with highest probability (top-k filtering).
            top_p >0.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).
                Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)
    """
    assert logits.dim() == 1  # batch size 1 for now - could be updated for more but the code would be less clear
    top_k = min(top_k, logits.size(-1))  # Safety check