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from __future__ import absolute_import, division, print_function, unicode_literals
# This module defines the show_graph() function to visualize a TensorFlow graph within Jupyter.
# As far as I can tell, this code was originally written by Alex Mordvintsev at:
# The original code only worked on Chrome (because of the use of <link rel="import"...>, but the version below
# uses Polyfill (copied from this StackOverflow answer:
# so that it can work on other browsers as well.
import numpy as np
import tensorflow as tf
from IPython.display import clear_output, Image, display, HTML
def strip_consts(graph_def, max_const_size=32):
"""Strip large constant values from graph_def."""
strip_def = tf.GraphDef()
for n0 in graph_def.node:
n = strip_def.node.add()
if n.op == 'Const':
tensor = n.attr['value'].tensor
size = len(tensor.tensor_content)
if size > max_const_size:
tensor.tensor_content = b"<stripped %d bytes>"%size
return strip_def
def show_graph(graph_def, max_const_size=32):
"""Visualize TensorFlow graph."""
if hasattr(graph_def, 'as_graph_def'):
graph_def = graph_def.as_graph_def()
strip_def = strip_consts(graph_def, max_const_size=max_const_size)
code = """
<script src="//"></script>
function load() {{
document.getElementById("{id}").pbtxt = {data};
<link rel="import" href="" onload=load()>
<div style="height:600px">
<tf-graph-basic id="{id}"></tf-graph-basic>
""".format(data=repr(str(strip_def)), id='graph'+str(np.random.rand()))
iframe = """
<iframe seamless style="width:1200px;height:620px;border:0" srcdoc="{}"></iframe>
""".format(code.replace('"', '&quot;'))
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