tensorflow - GPU Ops not shown on tensorboard graph -


i have made quick network using tensorflow, , seems training properly. uses gpu network operations, have verified creating session tf.session(config=tf.configproto(log_device_placement=true))

i set network this:

train, image_guess = network(images, labels)  tf.summary.image('guess', image_guess, max_outputs=3) tf.summary.image('input', images, max_outputs=3) tf.summary.image('target', tf.image.hsv_to_rgb(labels), max_outputs=3)  sess.run([     tf.local_variables_initializer(),     tf.global_variables_initializer(), ])

where network function sets graph , returns training op , resulting image tensor logging.

def network(images, labels):     tf.variable_scope("nn") scope:         ...         return train_step, image_guess

the trouble comes visualizing graph in tensorboard. reason shows graph input handling operations so: enter image description here

how can display entire network?


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