nqbao

#!/bin/bash

raw=$1
ami_id=$(echo "$raw" | cut -d"," -f1)
image_name=$(echo "$raw" | cut -d"," -f2)
echo "Copying $image_name ($ami_id)"
aws ec2 modify-image-attribute --image-id $ami_id  --launch-permission "{\"Add\":[{\"UserId\":\"$TO_ACCOUNT\"}]}" --profile $FROM_PROFILE
aws ec2 copy-image --name "$image_name" --source-image-id $ami_id --source-region $SOURCE_REGION --profile $TO_PROFILE

nqbao

import os
import logging
import gpustat

logger = logging.getLogger(__name__)


def get_free_gpu_indices():
    stats = gpustat.GPUStatCollection.new_query()
    used_gpus = set()

nqbao

#!/bin/bash

sudo apt-get update
sudo apt-get -y install ruby-dev libjemalloc-dev net-tools
sudo gem install fluentd -v "~> 0.14.0" --no-ri --no-rdoc
sudo gem install fluent-plugin-record-modifier
sudo gem install fluent-plugin-cloudwatch-logs

nqbao

#!/usr/bin/env python

import grpc.beta.implementations
import tensorflow_serving.apis.predict_pb2 as predict_pb2
import tensorflow_serving.apis.prediction_service_pb2 as prediction_service_pb2

import random
import numpy as np
import tensorflow as tf
import threading

nqbao

### Keybase proof

I hereby claim:

  * I am nqbao on github.
  * I am nqbao (https://keybase.io/nqbao) on keybase.
  * I have a public key ASC9DdgdV1S915zhkOswS6NVKUYnAoYm4IEpFJcFJrig8Qo

To claim this, I am signing this object:

nqbao

import grpc.beta.implementations
import tensorflow_serving.apis.predict_pb2 as predict_pb2
import tensorflow_serving.apis.prediction_service_pb2 as prediction_service_pb2
import numpy as np
import tensorflow as tf
import threading
from timeit import timeit
# from concurrent.futures import ProcessPoolExecutor

nqbao

#!/bin/bash

readarray -t lines < $1


username=${lines[0]}
password=${lines[1]}

if [[ "$password" == "bao" ]]; then
  echo "ok"

nqbao

# XXX: Only work with tf 11

from tensorflow.contrib.learn.python.learn.utils import export
from tensorflow.contrib.session_bundle import exporter

def my_input_fn():
    # Return features tensors, the name is empty because when we build the model
    # we feed in empty column name
    return {
        "": tf.placeholder(tf.float32, shape=[None, 4])

nqbao

# XXX: this only works for tf 0.11

import tensorflow as tf
from tensorflow.core.protobuf import meta_graph_pb2
from tensorflow.contrib.session_bundle import manifest_pb2

def read_serving_signatures(meta_file):
    tf.reset_default_graph()
    with tf.Session() as sess:
        new_saver = tf.train.import_meta_graph(meta_file)

nqbao

#<source>
#  @type http
#  port 8888
#</source>

<source>
@type tail
path /tmp/*.log
tag file.*
read_from_head true