def save_vars(filename):
""" Decode file sentence-by-sentence """
with tf.Session(config=tf.ConfigProto(intra_op_parallelism_threads=NUM_THREADS)) as sess:
# Create model and load parameters.
with tf.variable_scope("model", reuse=None):
model_dev, steps_done = create_model_default(sess, forward_only=True, dropout=False, model_path=model_path)
var_dict = {}
for var in tf.all_variables():
print(var.name, var.get_shape())
if 'Adagrad' in var.name: continue
var_dict[var.name] = var.eval()
pickle.dump(var_dict, open(filename, 'w'))
#for v in tf.all_variables():
# print(v.name, v.get_shape())
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