emb_np = np.load(file_name)
embedding_table = tf.constant(
    value=emb_np,
    name=embedding_name,
    shape=[vocab_size, embedding_size])

"Cannot create a tensor proto whose content is larger than 2GB."

saver=tf.train.Saver(
      var_to_save,
      sharded=True,
      max_to_keep=20,
      keep_checkpoint_every_n_hours=(
          100000),
      defer_build=False,
      save_relative_paths=True)

RuntimeError: Init operations did not make model ready for local_init.  Init op: group_deps, init fn: None, error: Variables not initialized: dense/kernel/Adagrad, dense/bias/Adagrad, dense_1/kernel/Adagrad, dense_1/bias/Adagrad, dense_2/kernel/Adagrad, dense_2/bias/Adagrad, w1/Adagrad