diff --git a/PyTorch/built-in/nlp/LSTM_ID0468_for_PyTorch/timit/steps/train_ctc.py b/PyTorch/built-in/nlp/LSTM_ID0468_for_PyTorch/timit/steps/train_ctc.py
index 98e3f7ae16da47b7850b408c0c88515f788c62fb..d3508aaf1350407914e7f4e078482e9cc7e15329 100644
--- a/PyTorch/built-in/nlp/LSTM_ID0468_for_PyTorch/timit/steps/train_ctc.py
+++ b/PyTorch/built-in/nlp/LSTM_ID0468_for_PyTorch/timit/steps/train_ctc.py
@@ -41,6 +41,7 @@ import time
 import yaml
 import argparse
 import numpy as np
+import apex
 from apex import amp
 import torch
 import torch.nn as nn
@@ -188,9 +189,9 @@ def main(args,conf):
     print(params)
     
     loss_fn = nn.CTCLoss(reduction='sum')
-    optimizer = torch.optim.Adam(model.parameters(), lr=init_lr, weight_decay=weight_decay)
+    optimizer = apex.optimizers.NpuFusedAdam(model.parameters(), lr=init_lr, weight_decay=weight_decay)
     if args.apex:
-        model, optimizer = amp.initialize(model, optimizer, opt_level=args.opt_level, loss_scale=args.loss_scale)
+        model, optimizer = amp.initialize(model, optimizer, opt_level=args.opt_level, loss_scale=args.loss_scale,combine_grad=True)
     #visualization for training
     # from visdom import Visdom
     # viz = Visdom()