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.gitignore

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.ipynb_checkpoints
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__pycache__

Gaussians.ipynb

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Large diffs are not rendered by default.

tfutils.py

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import tensorflow as tf
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import numpy as np
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from IPython.display import clear_output, Image, display, HTML
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def strip_consts(graph_def, max_const_size=32):
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"""Strip large constant values from graph_def.
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From http://stackoverflow.com/questions/38189119/simple-way-to-visualize-a-tensorflow-graph-in-jupyter
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"""
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strip_def = tf.GraphDef()
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for n0 in graph_def.node:
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n = strip_def.node.add()
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n.MergeFrom(n0)
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if n.op == 'Const':
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tensor = n.attr['value'].tensor
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size = len(tensor.tensor_content)
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if size > max_const_size:
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tensor.tensor_content = "<stripped %d bytes>"%size
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return strip_def
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def show_graph(graph_def, max_const_size=32):
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"""Visualize TensorFlow graph.
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From http://stackoverflow.com/questions/38189119/simple-way-to-visualize-a-tensorflow-graph-in-jupyter
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"""
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if hasattr(graph_def, 'as_graph_def'):
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graph_def = graph_def.as_graph_def()
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strip_def = strip_consts(graph_def, max_const_size=max_const_size)
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code = """
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<script>
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function load() {{
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document.getElementById("{id}").pbtxt = {data};
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}}
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</script>
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<link rel="import" href="https://tensorboard.appspot.com/tf-graph-basic.build.html" onload=load()>
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<div style="height:600px">
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<tf-graph-basic id="{id}"></tf-graph-basic>
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</div>
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""".format(data=repr(str(strip_def)), id='graph'+str(np.random.rand()))
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iframe = """
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<iframe seamless style="width:1200px;height:620px;border:0" srcdoc="{}"></iframe>
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""".format(code.replace('"', '&quot;'))
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display(HTML(iframe))

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