python - No graph is shown in tensorboard -
i tensorflow beginner. following tutorial code below from:
import tensorflow tf x = tf.constant(1.0, name="input") w = tf.variable(0.8, name="weight") y = tf.multiply(x, w, name="output") y_ = tf.constant(0.0, name="correct_value") loss = tf.pow(y - y_, 2, name="loss") train_step = tf.train.gradientdescentoptimizer(learning_rate=0.025).minimize(loss) value in [x, w, y, y_, loss]: tf.summary.scalar(value.op.name, value) summaries = tf.summary.merge_all() tf.session() sess: sess.run(tf.global_variables_initializer()) writer = tf.summary.filewriter("/tmp/fn") writer.add_graph(sess.graph) in range(100): writer.add_summary(sess.run(summaries), i) sess.run(train_step) writer.close()
every time when try run tensorboard, "no graph definition files found":
tensorboard: no graph definition files found
i used --debug parameter , event files found. used --inspect parameter generated this:
c:\windows\system32>tensorboard --inspect --logdir="d:\tmp\fn" ====================================================================== processing event files... (this can take few minutes) ====================================================================== found event files in: d:\tmp\fn these tags in d:\tmp\fn: audio - histograms - images - scalars correct_value_1 input_1 loss_1 output_1 weight_1 tensor - ====================================================================== event statistics d:\tmp\fn: audio - graph first_step 0 last_step 0 max_step 0 min_step 0 num_steps 1 outoforder_steps [] histograms - images - scalars first_step 0 last_step 99 max_step 99 min_step 0 num_steps 100 outoforder_steps [] sessionlog:checkpoint - sessionlog:start - sessionlog:stop - tensor - ======================================================================
i think wrong code. code same 1 in tutorial have changed because tutorial using other version of tensorflow me. using tensorflow 1.3 gpu on windows 10.
what doing wrong? thanks.
the problem tensorboard doesn't respect drive names on windows. problem solved here.
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