diff --git a/tools/pytorch2Msnhnet/PytorchToMsnhnet.py b/tools/pytorch2Msnhnet/PytorchToMsnhnet.py
index a876bfe2..f48cd3a4 100644
--- a/tools/pytorch2Msnhnet/PytorchToMsnhnet.py
+++ b/tools/pytorch2Msnhnet/PytorchToMsnhnet.py
@@ -718,6 +718,109 @@ def _view(inData, *args):
     ccc.append(x)
     dataSize = inData.shape[1]*inData.shape[2]*inData.shape[3]
 
+    if inData.shape[0] != 1:
+        raise NotImplementedError("params error")
+
+    if len(list(args)) == 1:
+        if args[0] != -1:
+            raise NotImplementedError("params error")
+        msnhnet.buildView(str(x._cdata),1,1,dataSize)
+
+    if len(list(args)) == 2:
+        if args[0] == -1 and args[1] != -1:
+            if dataSize % args[1] != 0:
+                raise NotImplementedError("params error")
+            dim1 = dataSize/args[1]
+            dim2 = args[1]
+            msnhnet.buildView(str(x._cdata),1,dim1,dim2)
+        elif args[0] != -1 and args[1] == -1:
+            if dataSize % args[1] != 0:
+                raise NotImplementedError("params error")
+            dim1 = args[0]
+            dim2 = dataSize/args[0]
+            msnhnet.buildView(str(x._cdata),1,dim1,dim2)
+        elif args[0] != -1 and args[1] != -1:
+            if dataSize % (args[1]*args[0]) != 0:
+                raise NotImplementedError("params error")
+            dim1 = arg[0]
+            dim2 = arg[1]
+            msnhnet.buildView(str(x._cdata),1,dim1,dim2)
+        else:
+            raise NotImplementedError("params error")
+    if len(list(args)) == 3:
+        if args[0] == -1 and args[1] != -1 and args[2] != -1:
+            if dataSize % (args[1]*args[2]) != 0:
+                raise NotImplementedError("params error")
+            dim0 = dataSize /(args[1]*args[2])
+            dim1 = args[1]
+            dim2 = args[2]
+            msnhnet.buildView(str(x._cdata),dim0,dim1,dim2)
+        elif args[0] != -1 and args[1] == -1 and args[2] != -1:
+            if dataSize % (args[0]*args[2]) != 0:
+                raise NotImplementedError("params error")
+            dim0 = args[0]
+            dim1 = dataSize/(args[0]*args[2])
+            dim2 = args[2]
+            msnhnet.buildView(str(x._cdata),dim0,dim1,dim2)
+        elif args[0] != -1 and args[1] != -1 and args[2] == -1:
+            if dataSize % (args[0]*args[1]) != 0:
+                raise NotImplementedError("params error")
+            dim0 = args[0]
+            dim1 = args[1]
+            dim2 = dataSize/(args[0]*args[1])
+            msnhnet.buildView(str(x._cdata),dim0,dim1,dim2)
+        elif args[0] != -1 and args[1] != -1 and args[2] != -1:
+            if dataSize / (args[0]*args[1]*args[2]) != 1:
+                raise NotImplementedError("params error")
+            dim0 = args[0]
+            dim1 = args[1]
+            dim2 = args[2]
+            msnhnet.buildView(str(x._cdata),dim0,dim1,dim2)
+    if len(list(args)) == 4:
+        if args[0] == -1:
+            if dataSize/(args[1]*args[2]*args[3])==1 :
+                dim0 = args[1]
+                dim1 = args[2]
+                dim2 = args[3]
+                msnhnet.buildView(str(x._cdata),dim0,dim1,dim2)
+            else:
+                raise NotImplementedError("params error")
+        elif args[0] == 1:
+            if args[1] == -1 and args[2] != -1 and args[3] != -1:
+                if dataSize % (args[1]*args[2]) != 0:
+                    raise NotImplementedError("params error")
+                dim0 = dataSize /(args[2]*args[3])
+                dim1 = args[2]
+                dim2 = args[3]
+                msnhnet.buildView(str(x._cdata),dim0,dim1,dim2)
+            elif args[1] != -1 and args[2] == -1 and args[3] != -1:
+                if dataSize % (args[1]*args[3]) != 0:
+                    raise NotImplementedError("params error")
+                dim0 = args[1]
+                dim1 = dataSize/(args[1]*args[3])
+                dim2 = args[3]
+                msnhnet.buildView(str(x._cdata),dim0,dim1,dim2)
+            elif args[1] != -1 and args[2] != -1 and args[3] == -1:
+                if dataSize % (args[1]*args[2]) != 0:
+                    raise NotImplementedError("params error")
+                dim0 = args[1]
+                dim1 = args[2]
+                dim2 = dataSize/(args[1]*args[2])
+                msnhnet.buildView(str(x._cdata),dim0,dim1,dim2)
+            elif args[1] != -1 and args[2] != -1 and args[3] != -1:
+                if dataSize / (args[1]*args[2]*args[3]) != 1:
+                    raise NotImplementedError("params error")
+                dim0 = args[1]
+                dim1 = args[2]
+                dim2 = args[3]
+                msnhnet.buildView(str(x._cdata),dim0,dim1,dim2)
+    return x  
+    
+def _reshape(inData, *args):
+    x=raw_reshape(inData, *args)
+    ccc.append(x)
+    dataSize = inData.shape[1]*inData.shape[2]*inData.shape[3]
+
     if inData.shape[0] != 1:
         raise NotImplementedError("params error")
 
@@ -869,6 +972,8 @@ def _expand_as(inData, *args):
 for t in [torch.Tensor]:
     raw_view = t.view
     t.view = _view
+    raw_reshape = t.reshape
+    t.reshape = _reshape
     raw_mean = t.mean
     t.mean = _mean
     raw__add__ = t.__add__
@@ -898,8 +1003,6 @@ def _expand_as(inData, *args):
     raw__expand_as__ = t.expand_as
     t.expand_as = _expand_as
 
-
-
 def trans(net, inputVar, msnhnet_path, msnhbin_path):
     Hook.hookInited = True
     msnhnet.buildConfig(str(id(inputVar)), inputVar.size())