launching tensorboard from google cloud datalab

2019-04-30 04:23发布

问题:

I need help in luanching tensorboard from tensorflow running on the datalab, My code is the followings (everything is on the datalab):

import tensorflow as tf

with tf.name_scope('input'):
  print ("X_np")
  X_np = tf.placeholder(tf.float32, shape=[None, num_of_features],name="input")

with tf.name_scope('weights'):
  print ("W is for weights & - 15 number of diseases")
  W = tf.Variable(tf.zeros([num_of_features,15]),name="W")

with tf.name_scope('biases'):
  print ("b")
  #todo:authemate for more diseases
  b = tf.Variable(tf.zeros([15]),name="biases")

with tf.name_scope('layer'):
  print ("y_train_np")
  y_train_np = tf.nn.softmax(tf.matmul(X_np,W) + b)

with tf.name_scope('correct'):
  print ("y_ - placeholder for correct answer")
  y_ = tf.placeholder(tf.float32, shape=[None, 15],name="correct_answer")

with tf.name_scope('loss'):
  print ("cross entrpy")
  cross_entropy = -tf.reduce_sum(y_*tf.log(y_train_np))

# % of correct answers found in batch
print("is correct")
is_correct = tf.equal(tf.argmax(y_train_np,1),tf.argmax(y_,1))
print("accuracy")
accuracy = tf.reduce_mean(tf.cast(is_correct,tf.float32))

print("train step")
train_step = tf.train.GradientDescentOptimizer(0.01).minimize(cross_entropy)
# train data and get results for batches
print("initialize all varaible")
init = tf.global_variables_initializer()

print("session")
sess = tf.Session()
writer = tf.summary.FileWriter("logs/", sess.graph)
init = tf.global_variables_initializer()
sess.run(init)

!tensorboard --logdir=/logs

the output is: Starting TensorBoard 41 on port 6006 (You can navigate to http://172.17.0.2:6006)

However, when I click on the link, the webpage is empty

Please let me know what I am missing. I am expecting to see the graph. later i would like to generate more data. Any suggestion is appreciated.

Many thanks!

回答1:

If you are using datalab, you can use tensorboard as below:

from google.datalab.ml import TensorBoard as tb

tb.start('./logs')

http://googledatalab.github.io/pydatalab/google.datalab.ml.html