wangkuiyi

// The official etcd Go client library is far from easy-to-use. I had                                                                                                                                                                                                                                                                                                     
// to read github.com/coreos/etcd/client and                                                                                                                                                                                                                                                                                                                              
// github.com/coreos/etcd/etcdctl before I can write down the                                                                                                                                                                                                                                             

wangkuiyi

// This is a sample MPI program in Go.
//
// To build and run it, we need to install MPI. I downloaded and built
// Open MPI 1.8.8:
//
//    wget https://www.open-mpi.org/software/ompi/v1.8/downloads/openmpi-1.8.8.tar.bz2
//    tar xjf openmpi-1.8.8.tar.bz2
//    cd openmpi-1.8.8
//    ./configure --prefix=/home/yi/openmpi
//    make -j2 install

wangkuiyi

package main

import (
	"encoding/gob"
	"io"
	"log"
	"os"
)

func main() {

wangkuiyi

package main

import (
	"bytes"
	"image"
	"image/jpeg"
	"io"

	"github.com/AdRoll/goamz/aws"
	"github.com/AdRoll/goamz/s3"

wangkuiyi

package main

import (
	"fmt"
	"time"

	"github.com/AdRoll/goamz/aws"
	"github.com/AdRoll/goamz/sqs"
	"github.com/davecgh/go-spew/spew"

wangkuiyi

curl -u _token:$(gcloud auth print-access-token)   https://gcr.io/v2/tensorflow/tensorflow/tags/list
docker run --rm -it gcr.io/tensorflow/tensorflow:r0.9rc0 /bin/bash

wangkuiyi

digraph CI {
  github [label="github.com"];
  ngrok1 [label="ngrok tunnel 1"];
  ngrok2 [label="ngrok tunnel 2"];
  config1 [label="configuration 1"];
  config2 [label="configuration 2"];
  
  github -> ngrok1 -> config1;
  github -> ngrok2 -> config2;
}

wangkuiyi

project="paddlepaddle/paddle"
if [[ $# -ne 0 ]]; then
   project=$1
fi

file=${project/\//-}
> $file.issues

issues_per_page=25
page=1

wangkuiyi

project="wangkuiyi/mapreduce-lite"
if [[ $# -ne 0 ]]; then
   project=$1
fi

issues_per_page=25
page=1
until [ $issues_per_page -lt 25 ]; do
    echo Parsing page: $page >&2

wangkuiyi

PaddlePaddle is Launching New API

PaddlePaddle is a deep learning framework originally developed in Baidu four years ago. Experienced Baidu researchers and engineers have successfully applied it in 80% of Baidu products. When we open sourced PaddlePaddle in September 2016, we know it is time to make it easy-to-use by everyone who is interested in deep learning.

Today we are happy to announce the alpha release of our new API. And we updated example programs in our open source book Deep Learning with PaddlePaddle accordingly.

The following screenshot shows that a PaddlePaddle program using the new API could be much shorter than its old counterpart.