applenob

#-*- coding:utf-8 -*- 
import Queue
from contextlib import contextmanager

class ObjectPool(object):
  """A simple object pool with thread safe"""
  def __init__(self,objectFn,*args,**kwargs):
    super(ObjectPool, self).__init__()
    self.objectFn = objectFn
    self.objectCls = None

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"""
Tensorflow estimator API example

References:
- <https://www.tensorflow.org/guide/custom_estimators>
- <https://github.com/tensorflow/models/blob/master/samples/core/get_started/custom_estimator.py>
- <https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/distribute/README.md>
"""
import numpy as np
import tensorflow as tf

applenob

import tensorflow as tf
from tensorflow.python.platform import gfile
with tf.Session() as sess:
    model_filename ='PATH_TO_PB.pb'
    with gfile.FastGFile(model_filename, 'rb') as f:
        graph_def = tf.GraphDef()
        graph_def.ParseFromString(f.read())
        g_in = tf.import_graph_def(graph_def)
LOGDIR='/logs/tests/1/'
train_writer = tf.summary.FileWriter(LOGDIR)

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import requests

headers = {"token": "API TOKEN"}
params = {"something": "SOMETHING"}

response = requests.get("https://www.something.com", headers=headers, params=params)
json_data = response.json()
status = response.status_code

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# variation to https://github.com/ryankiros/skip-thoughts/blob/master/decoding/search.py

def keras_rnn_predict(samples, empty=empty, rnn_model=model, maxlen=maxlen):
    """for every sample, calculate probability for every possible label
    you need to supply your RNN model and maxlen - the length of sequences it can handle
    """
    data = sequence.pad_sequences(samples, maxlen=maxlen, value=empty)
    return rnn_model.predict(data, verbose=0)

def beamsearch(predict=keras_rnn_predict,

applenob

sudo su

# Java
yum -y install java-1.8.0-openjdk-devel

# Build Esentials (minimal)
yum -y install gcc gcc-c++ kernel-devel make automake autoconf swig git unzip libtool binutils

# Extra Packages for Enterprise Linux (EPEL) (for pip, zeromq3)
yum -y install epel-release

applenob

#!/usr/bin/bash

# Download zeromq
# Ref http://zeromq.org/intro:get-the-software
wget https://github.com/zeromq/libzmq/releases/download/v4.2.2/zeromq-4.2.2.tar.gz

# Unpack tarball package
tar xvzf zeromq-4.2.2.tar.gz

# Install dependency