Tensorflow: How to convert .meta, .data and .index model files into one graph.pb file

You can use this simple script to do that. But you must specify the names of the output nodes. import tensorflow as tf meta_path=”model.ckpt-22480.meta” # Your .meta file output_node_names = [‘output:0’] # Output nodes with tf.Session() as sess: # Restore the graph saver = tf.train.import_meta_graph(meta_path) # Load weights saver.restore(sess,tf.train.latest_checkpoint(‘path/of/your/.meta/file’)) # Freeze the graph frozen_graph_def = … Read more

Line plot in GnuPlot where line color is a third column in my data file?

This following works for me (gnuplot 4.4) plot “./file.dat” u 1:2:3 with lines palette Hope this helps. When I ran your code gnuplot couldn’t pass the “rgb” part. For an example of using the variable tag see the similar question: GNUPLOT: dot plot with data depending dot size with the useful examples found here: http://gnuplot.sourceforge.net/demo/pointsize.html … Read more

Tensorflow: executing an ops with a specific core of a CPU

There’s no API for pinning ops to a particular core at present, though this would make a good feature request. You could approximate this functionality by creating multiple CPU devices, each with a single-threaded threadpool, but this isn’t guaranteed to maintain the locality of a core-pinning solution: with tf.device(“/cpu:4”): # … with tf.device(“/cpu:7”): # … … Read more

Distributed tensorflow: the difference between In-graph replication and Between-graph replication

First of all, for some historical context, “in-graph replication” is the first approach that we tried in TensorFlow, and it did not achieve the performance that many users required, so the more complicated “between-graph” approach is the current recommended way to perform distributed training. Higher-level libraries such as tf.learn use the “between-graph” approach for distributed … Read more

Finding all cycles in undirected graphs

For an undirected graph the standard approach is to look for a so called cycle base : a set of simple cycles from which one can generate through combinations all other cycles. These are not necessarily all simple cycles in the graph. Consider for example the following graph: A / \ B —– C \ … Read more