python - Tensorboard get blank page -

i'm new in tensorflow , follow tutorial learn framework.

now i'm trying visualize graph using tensorboard but tensorboard blank page without result.

the code use visualize graph is:

from __future__ import print_function import tensorflow tf import numpy np   def add_layer(inputs, in_size, out_size, n_layer,     activation_function=none): # add 1 more layer , return output of layer layer_name = 'layer%s' % n_layer tf.name_scope(layer_name):     tf.name_scope('weights'):         weights = tf.variable(tf.random_normal([in_size, out_size]), name='w')         tf.summary.histogram(layer_name + '/weights', weights)     tf.name_scope('biases'):         biases = tf.variable(tf.zeros([1, out_size]) + 0.1, name='b')         tf.summary.histogram(layer_name + '/biases', biases)     tf.name_scope('wx_plus_b'):         wx_plus_b = tf.add(tf.matmul(inputs, weights), biases)     if activation_function none:         outputs = wx_plus_b     else:         outputs = activation_function(wx_plus_b, )     tf.summary.histogram(layer_name + '/outputs', outputs) return outputs   # make real data x_data = np.linspace(-1, 1, 300)[:, np.newaxis] noise = np.random.normal(0, 0.05, x_data.shape) y_data = np.square(x_data) - 0.5 + noise  # define placeholder inputs network tf.name_scope('inputs'):     xs = tf.placeholder(tf.float32, [none, 1], name='x_input')     ys = tf.placeholder(tf.float32, [none, 1], name='y_input')  # add hidden layer l1 = add_layer(xs, 1, 10, n_layer=1, activation_function=tf.nn.relu) # add output layer prediction = add_layer(l1, 10, 1, n_layer=2, activation_function=none)  # error between prediciton , real data tf.name_scope('loss'):     loss = tf.reduce_mean(tf.reduce_sum(tf.square(ys - prediction),                                     reduction_indices=[1]))     tf.summary.scalar('loss', loss)  tf.name_scope('train'):      train_step = tf.train.gradientdescentoptimizer(0.1).minimize(loss)  sess = tf.session() merged = tf.summary.merge_all()  writer = tf.summary.filewriter("logs/", sess.graph)  init = tf.global_variables_initializer() sess.run(init)  in range(1000):     sess.run(train_step, feed_dict={xs: x_data, ys: y_data})     if % 50 == 0:         result = sess.run(merged,                       feed_dict={xs: x_data, ys: y_data})         writer.add_summary(result, i) 

i'm using ubuntu 16.04 python 2.7 , tensorflow version 1.0.1.

when run program created new log file, , after use theis command visualize tensorboard:

 tensorboard --logdir=/logs 

then if go http://127.0.1.1:6006/ tensorboard page without summary, why?

i try use browser not works.

you saving logs folder @ place running ipython notebook. however, tensorboard tries load /logs folder (instead of /users/something/logs). try --logdir=./logs