william-r-s

{"startUrl":"http://www.audible.com/wl/sortType=createdate&sortOrder=dsc&totalAsinsPerPage=1000&page=1","selectors":[{"parentSelectors":["table_row"],"type":"SelectorText","multiple":false,"id":"description","selector":"td.adbl-col-2 > div > div.a-p-r-28.adbl-prod-result.adbl-flyout-cont-marker > div.adbl-prod-social-overlay.adbl-hasActivity.adbl-flyout-marker > div > div > p","regex":"","delay":""},{"parentSelectors":["_root"],"type":"SelectorElement","multiple":true,"id":"table_row","selector":"tr:nth-of-type(n+2)","delay":""},{"parentSelectors":["table_row"],"type":"SelectorText","multiple":false,"id":"title","selector":"div.adbl-prod-title a.adbl-link","regex":"","delay":""},{"parentSelectors":["table_row"],"type":"SelectorText","multiple":false,"id":"author","selector":"div.adbl-prod-author a.adbl-link","regex":"","delay":""}],"_id":"audible"}

william-r-s

from tensorflow.python.client import timeline
run_options = tf.RunOptions(trace_level=tf.RunOptions.FULL_TRACE)
run_metadata = tf.RunMetadata()
sess.run([tensor], options=run_options, run_metadata=run_metadata)

# Create the Timeline object, and write it to a json
tl = timeline.Timeline(run_metadata.step_stats)
ctf = tl.generate_chrome_trace_format()
with open('timeline.json', 'w') as f:
  f.write(ctf)                

william-r-s

#Installing CUDA 8.0, download runfiles version

#https://stackoverflow.com/questions/34670989/cuda-7-5-installation-unsupported-compiler-error
sudo apt-get install gcc-4.8
sudo update-alternatives --remove-all gcc
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.8 10

#https://devtalk.nvidia.com/default/topic/983777/can-t-locate-installutils-pm-in-inc/
./cuda*.run --tar mxvf
sudo cp InstallUtils.pm /usr/lib/x86_64-linux-gnu/perl-base/

william-r-s

import matplotlib.pyplot as plt
import numpy as np
import plotly.tools as tls
from plotly import offline as py

py.init_notebook_mode()
plt.ioff()
t = np.linspace(0, 20, 500)

william-r-s

# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

william-r-s

import argparse
parser = argparse.ArgumentParser()
parser.add_argument('n', type=int, nargs='?', default=1)
args = parser.parse_args()

import subprocess
subprocess.run("hostname", check=True)
import os
print("CUDA_VISIBLE_DEVICES=" +
      os.environ.get("CUDA_VISIBLE_DEVICES", default=""))

william-r-s