def load_model():
global nn, sess, trump
if nn is None and sess is None and trump is None:
nn = LSTM(max_lr=0.01,
min_lr=0.0005,
seq_len=57,
vocab_size=2402,
n_embedding=1000,
n_out=2402,
n_cell=1000,
rand_seed=1234)
trump = trump_data.TRUMP(
trump_data.trump_tokenized_dataset_path_default,
trump_data.trump_token_dict_path_default)
tf_config = tf.ConfigProto()
tf_config.gpu_options.allow_growth = True
init = tf.global_variables_initializer()
sess = tf.InteractiveSession(config=tf_config)
sess.run(init)
nn.build_arch()
nn.restore_arch(sess)
if nn is None or sess is None or trump is None:
nn = None
sess = None
trump = None
return False
return True
