So I program a tensorflow program in python3, and can execute said scripts with python3, with the modules that I installed using pip3. But when using
tensorboard --logdir="./graphs" --port 6006
It is using Python2.7, and numpy is not installed, since I am not using Python 2. When installing numpy with pip (instead of pip3) it still does not work because AttributeErrors.
How can i tell tensorboard (and other programs) to use python3 with the pip3 modules, instead of python2.7?
python3 tensorboard --logdir="./graphs" --port 6006 does not work, since python3 expects me to give it a script file.
Additional Information: The tensorboard graph file has been created in the given path, from this code
import os import tensorflow as tf import numpy as np os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' tf.reset_default_graph() a = tf.constant(2) b = tf.constant(3) c = tf.add(a, b) with tf.Session() as sess: writer = tf.summary.FileWriter('./graphs', sess.graph) print(sess.run(c))