tensorboard embeddings show no data - tensorboard

Question

I am rying to use tensorboard embeddings page in order to visualize the results of word2vec. After debugging, digging of lots of codes i came to a point that tensorboard successfully runs, reads the confguration file, reads the tsv files but now the embeddings page does not show data.
( the page is opened , i can see the menus , items etc) this is my config file:
embeddings {
tensor_name: 'word_embedding'
metadata_path: 'c:\data\metadata.tsv'
tensor_path: 'c:\data\tensors2.tsv'
}
What can be the problem?
The tensor file originally is 1gb. in size, if i try that file , the app crashes becasue of the memory. So i copy and paste 1 or 2 pages of the original file into tensor2.tsv and use this file. May be this is the problem. May be i need to create more data by copy/ paste.
thx
tolga

Answer 1

Try following code snippet to get visualized word embedding in tensorboard. Open tensorboard with logdir, check localhost:6006 for viewing your embedding.
tensorboard --logdir="visual/1"
# code
fname = "word2vec_model_1000"
model = gensim.models.keyedvectors.KeyedVectors.load(fname)
# project part of vocab, max of 100 dimension
max = 1000
w2v = np.zeros((max,100))
with open("prefix_metadata.tsv", 'w+') as file_metadata:
for i,word in enumerate(model.wv.index2word[:max]):
w2v[i] = model.wv[word]
file_metadata.write(word + '\n')
# define the model without training
sess = tf.InteractiveSession()
with tf.device("/cpu:0"):
embedding = tf.Variable(w2v, trainable=False, name='prefix_embedding')
tf.global_variables_initializer().run()
path = 'visual/1'
saver = tf.train.Saver()
writer = tf.summary.FileWriter(path, sess.graph)
# adding into projector
config = projector.ProjectorConfig()
embed= config.embeddings.add()
embed.tensor_name = 'prefix_embedding'
embed.metadata_path = 'prefix_metadata.tsv'
# Specify the width and height of a single thumbnail.
projector.visualize_embeddings(writer, config)
saver.save(sess, path+'/prefix_model.ckpt', global_step=max)