Can you please check the jupiter demo, I could not make it work
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It stuck in this step :
#Initializing and restoring the evaluator net. with evalGraph.as_default(): with tf.variable_scope("discriminator_network"): evaluator = EvalNet(_BATCH_SIZE) evaluator.build_graph() saver = tf.train.Saver()
# Start session evalSess = tf.Session(config=tf.ConfigProto( allow_soft_placement=True ), graph=evalGraph) saver.restore(evalSess, EvalNet_checkpoint`
Can you please check the jupiter demo, I could not make it work
.
It stuck in this step :
#Initializing and restoring the evaluator net. with evalGraph.as_default(): with tf.variable_scope("discriminator_network"): evaluator = EvalNet(_BATCH_SIZE) evaluator.build_graph() saver = tf.train.Saver()# Start session evalSess = tf.Session(config=tf.ConfigProto( allow_soft_placement=True ), graph=evalGraph) saver.restore(evalSess,EvalNet_checkpoint`