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import tensorflow as tf | |
tf.reset_default_graph() # To clear the defined variables and operations of the previous cell | |
# create the scalar variable | |
x_scalar = tf.get_variable('x_scalar', shape=[], initializer=tf.truncated_normal_initializer(mean=0, stddev=1)) | |
# ____step 1:____ create the scalar summary | |
first_summary = tf.summary.scalar(name='My_first_scalar_summary', tensor=x_scalar) | |
init = tf.global_variables_initializer() | |
# launch the graph in a session | |
with tf.Session() as sess: | |
# ____step 2:____ creating the writer inside the session | |
writer = tf.summary.FileWriter('./graphs', sess.graph) | |
for step in range(100): | |
# loop over several initializations of the variable | |
sess.run(init) | |
# ____step 3:____ evaluate the scalar summary | |
summary = sess.run(first_summary) | |
# ____step 4:____ add the summary to the writer (i.e. to the event file) | |
writer.add_summary(summary, step) | |
print('Done with writing the scalar summary') |
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