Initialize needed variables

blog_lm1b_2.py

# For saving demo resources, use batch size 1 and step 1.
BATCH_SIZE = 1
NUM_TIMESTEPS = 1
MAX_WORD_LEN = 50

# File Paths
vocab_file = "language_model/data/vocab-2016-09-10.txt"
save_dir   = "language_model/output"
pbtxt      = "language_model/data/graph-2016-09-10.pbtxt"
ckpt       = "language_model/data/ckpt-*"

#Vocabulary containing character-level information.
vocab = data_utils.CharsVocabulary(vocab_file, MAX_WORD_LEN)

targets  = np.zeros([BATCH_SIZE, NUM_TIMESTEPS], np.int32)
weights  = np.ones([BATCH_SIZE, NUM_TIMESTEPS], np.float32)
inputs   = np.zeros([BATCH_SIZE, NUM_TIMESTEPS], np.int32)
char_ids_inputs = np.zeros([BATCH_SIZE, NUM_TIMESTEPS, vocab.max_word_length], np.int32)

# Recovers the model from protobuf
sess, t = LoadModel(pbtxt, ckpt)