The program runs too long

[HoangNguyenHuu]

When i ran your code 5 day ago, it printed some information as below. Nothing more since then, no models were created, but the program still runs in my computer. Do you know why? (Dataset: Train set - 4500 sentences, Development set - 1100 sentences)

[dynet] random seed: 969247908
[dynet] allocating memory: 512MB
[dynet] memory allocation done.
Loaded config file sucessfully.
pretrained_embeddings_file ../data/emb/vi.txt
data_dir ../data/treebank
train_file ../data/treebank/train.conllu
dev_file ../data/treebank/dev.conllu
test_file ../data/treebank/test.conllu
min_occur_count 2
save_dir ../ckpt/default
config_file ../ckpt/default/config.cfg
save_model_path ../ckpt/default/model
save_vocab_path ../ckpt/default/vocab
load_dir ../ckpt/default
load_model_path ../ckpt/default/model
load_vocab_path ../ckpt/default/vocab
lstm_layers 3
word_dims 100
tag_dims 100
dropout_emb 0.33
lstm_hiddens 400
dropout_lstm_input 0.33
dropout_lstm_hidden 0.33
mlp_arc_size 500
mlp_rel_size 100
dropout_mlp 0.33
learning_rate 2e-3
decay .75
decay_steps 5000
beta_1 .9
beta_2 .9
epsilon 1e-12
num_buckets_train 40
num_buckets_valid 10
num_buckets_test 10
train_iters 50000
train_batch_size 5000
test_batch_size 5000
validate_every 100
save_after 5000
#words in training set: 3544
Vocab info: #words 10936, #tags 28 #rels 33
(400, 600)
Orthogonal pretrainer loss: 5.20e-27
(400, 600)
Orthogonal pretrainer loss: 7.02e-27
(400, 1200)
Orthogonal pretrainer loss: 2.79e-30
(400, 1200)
Orthogonal pretrainer loss: 2.77e-30
(400, 1200)
Orthogonal pretrainer loss: 2.82e-30
(400, 1200)
Orthogonal pretrainer loss: 2.93e-30
(600, 800)
Orthogonal pretrainer loss: 3.90e-23

[HoangNguyenHuu]

I fixed it by adding another i -= 1 in after line 57, in the second while loop (file k_means.py). This bug has been detected in tensorflow code:
tdozat/Parser-v1#8

[jcyk]

Thank you for pointing out that!