diff --git a/MSRN/MSRN_2x-0000.params b/MSRN/MSRN_2x-0000.params
index 6da5ed3..27e5a4d 100644
Binary files a/MSRN/MSRN_2x-0000.params and b/MSRN/MSRN_2x-0000.params differ
diff --git a/MSRN/MSRN_2x-symbol.json b/MSRN/MSRN_2x-symbol.json
index 1428e6e..13d957f 100644
--- a/MSRN/MSRN_2x-symbol.json
+++ b/MSRN/MSRN_2x-symbol.json
@@ -6,18 +6,15 @@
       "inputs": []
     }, 
     {
-      "op": "Pad", 
-      "name": "pad0", 
-      "attrs": {
-        "mode": "constant", 
-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
-      }, 
-      "inputs": [[0, 0, 0]]
+      "op": "null", 
+      "name": "convolution0_weight", 
+      "attrs": {"__shape__": "(3, 3, 1, 1)"}, 
+      "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "learned_0", 
-      "attrs": {"__shape__": "(64, 1, 3, 3)"}, 
+      "name": "convolution0_bias", 
+      "attrs": {"__shape__": "(3,)"}, 
       "inputs": []
     }, 
     {
@@ -25,94 +22,106 @@
       "name": "convolution0", 
       "attrs": {
         "dilate": "(1, 1)", 
-        "kernel": "(3, 3)", 
-        "no_bias": "True", 
-        "num_filter": "64", 
+        "kernel": "(1, 1)", 
+        "layout": "NCHW", 
+        "no_bias": "False", 
+        "num_filter": "3", 
         "num_group": "1", 
-        "pad": "(1, 1)", 
+        "pad": "(0, 0)", 
         "stride": "(1, 1)"
       }, 
-      "inputs": [[1, 0, 0], [2, 0, 0]]
+      "inputs": [[0, 0, 0], [1, 0, 0], [2, 0, 0]]
+    }, 
+    {
+      "op": "null", 
+      "name": "convolution1_weight", 
+      "attrs": {"__shape__": "(64, 3, 3, 3)"}, 
+      "inputs": []
+    }, 
+    {
+      "op": "null", 
+      "name": "convolution1_bias", 
+      "attrs": {"__shape__": "(64,)"}, 
+      "inputs": []
     }, 
     {
-      "op": "Pad", 
-      "name": "pad1", 
+      "op": "Convolution", 
+      "name": "convolution1", 
       "attrs": {
-        "mode": "constant", 
-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
+        "dilate": "(1, 1)", 
+        "kernel": "(3, 3)", 
+        "layout": "NCHW", 
+        "no_bias": "False", 
+        "num_filter": "64", 
+        "num_group": "1", 
+        "pad": "(1, 1)", 
+        "stride": "(1, 1)"
       }, 
-      "inputs": [[3, 0, 0]]
+      "inputs": [[3, 0, 0], [4, 0, 0], [5, 0, 0]]
     }, 
     {
       "op": "null", 
-      "name": "learned_1", 
+      "name": "convolution2_weight", 
       "attrs": {"__shape__": "(64, 64, 3, 3)"}, 
       "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "learned_2", 
+      "name": "convolution2_bias", 
       "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution1", 
+      "name": "convolution2", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(3, 3)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "64", 
         "num_group": "1", 
         "pad": "(1, 1)", 
         "stride": "(1, 1)"
       }, 
-      "inputs": [[4, 0, 0], [5, 0, 0], [6, 0, 0]]
+      "inputs": [[6, 0, 0], [7, 0, 0], [8, 0, 0]]
     }, 
     {
       "op": "relu", 
       "name": "relu0", 
-      "inputs": [[7, 0, 0]]
-    }, 
-    {
-      "op": "Pad", 
-      "name": "pad2", 
-      "attrs": {
-        "mode": "constant", 
-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
-      }, 
-      "inputs": [[3, 0, 0]]
+      "inputs": [[9, 0, 0]]
     }, 
     {
       "op": "null", 
-      "name": "learned_5", 
+      "name": "convolution3_weight", 
       "attrs": {"__shape__": "(64, 64, 5, 5)"}, 
       "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "learned_6", 
+      "name": "convolution3_bias", 
       "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution2", 
+      "name": "convolution3", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(5, 5)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "64", 
         "num_group": "1", 
         "pad": "(2, 2)", 
         "stride": "(1, 1)"
       }, 
-      "inputs": [[9, 0, 0], [10, 0, 0], [11, 0, 0]]
+      "inputs": [[6, 0, 0], [11, 0, 0], [12, 0, 0]]
     }, 
     {
       "op": "relu", 
       "name": "relu1", 
-      "inputs": [[12, 0, 0]]
+      "inputs": [[13, 0, 0]]
     }, 
     {
       "op": "Concat", 
@@ -121,35 +130,27 @@
         "dim": "1", 
         "num_args": "2"
       }, 
-      "inputs": [[8, 0, 0], [13, 0, 0]]
-    }, 
-    {
-      "op": "Pad", 
-      "name": "pad3", 
-      "attrs": {
-        "mode": "constant", 
-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
-      }, 
-      "inputs": [[14, 0, 0]]
+      "inputs": [[10, 0, 0], [14, 0, 0]]
     }, 
     {
       "op": "null", 
-      "name": "learned_3", 
+      "name": "convolution4_weight", 
       "attrs": {"__shape__": "(128, 128, 3, 3)"}, 
       "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "learned_4", 
+      "name": "convolution4_bias", 
       "attrs": {"__shape__": "(128,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution3", 
+      "name": "convolution4", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(3, 3)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "128", 
         "num_group": "1", 
@@ -163,45 +164,37 @@
       "name": "relu2", 
       "inputs": [[18, 0, 0]]
     }, 
-    {
-      "op": "Pad", 
-      "name": "pad4", 
-      "attrs": {
-        "mode": "constant", 
-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
-      }, 
-      "inputs": [[14, 0, 0]]
-    }, 
     {
       "op": "null", 
-      "name": "learned_7", 
+      "name": "convolution5_weight", 
       "attrs": {"__shape__": "(128, 128, 5, 5)"}, 
       "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "learned_8", 
+      "name": "convolution5_bias", 
       "attrs": {"__shape__": "(128,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution4", 
+      "name": "convolution5", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(5, 5)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "128", 
         "num_group": "1", 
         "pad": "(2, 2)", 
         "stride": "(1, 1)"
       }, 
-      "inputs": [[20, 0, 0], [21, 0, 0], [22, 0, 0]]
+      "inputs": [[15, 0, 0], [20, 0, 0], [21, 0, 0]]
     }, 
     {
       "op": "relu", 
       "name": "relu3", 
-      "inputs": [[23, 0, 0]]
+      "inputs": [[22, 0, 0]]
     }, 
     {
       "op": "Concat", 
@@ -210,120 +203,103 @@
         "dim": "1", 
         "num_args": "2"
       }, 
-      "inputs": [[19, 0, 0], [24, 0, 0]]
+      "inputs": [[19, 0, 0], [23, 0, 0]]
     }, 
     {
-      "op": "Pad", 
-      "name": "pad5", 
-      "attrs": {
-        "mode": "constant", 
-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
-      }, 
-      "inputs": [[25, 0, 0]]
+      "op": "null", 
+      "name": "convolution6_weight", 
+      "attrs": {"__shape__": "(64, 256, 1, 1)"}, 
+      "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "learned_9", 
-      "attrs": {"__shape__": "(64, 256, 1, 1)"}, 
+      "name": "convolution6_bias", 
+      "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution5", 
+      "name": "convolution6", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(1, 1)", 
-        "no_bias": "True", 
+        "layout": "NCHW", 
+        "no_bias": "False", 
         "num_filter": "64", 
         "num_group": "1", 
+        "pad": "(0, 0)", 
         "stride": "(1, 1)"
       }, 
-      "inputs": [[26, 0, 0], [27, 0, 0]]
+      "inputs": [[24, 0, 0], [25, 0, 0], [26, 0, 0]]
     }, 
     {
       "op": "broadcast_add", 
       "name": "broadcast_add0", 
-      "inputs": [[28, 0, 0], [3, 0, 0]]
-    }, 
-    {
-      "op": "Pad", 
-      "name": "pad6", 
-      "attrs": {
-        "mode": "constant", 
-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
-      }, 
-      "inputs": [[29, 0, 0]]
+      "inputs": [[27, 0, 0], [6, 0, 0]]
     }, 
     {
       "op": "null", 
-      "name": "learned_10", 
+      "name": "convolution7_weight", 
       "attrs": {"__shape__": "(64, 64, 3, 3)"}, 
       "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "learned_11", 
+      "name": "convolution7_bias", 
       "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution6", 
+      "name": "convolution7", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(3, 3)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "64", 
         "num_group": "1", 
         "pad": "(1, 1)", 
         "stride": "(1, 1)"
       }, 
-      "inputs": [[30, 0, 0], [31, 0, 0], [32, 0, 0]]
+      "inputs": [[28, 0, 0], [29, 0, 0], [30, 0, 0]]
     }, 
     {
       "op": "relu", 
       "name": "relu4", 
-      "inputs": [[33, 0, 0]]
-    }, 
-    {
-      "op": "Pad", 
-      "name": "pad7", 
-      "attrs": {
-        "mode": "constant", 
-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
-      }, 
-      "inputs": [[29, 0, 0]]
+      "inputs": [[31, 0, 0]]
     }, 
     {
       "op": "null", 
-      "name": "learned_14", 
+      "name": "convolution8_weight", 
       "attrs": {"__shape__": "(64, 64, 5, 5)"}, 
       "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "learned_15", 
+      "name": "convolution8_bias", 
       "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution7", 
+      "name": "convolution8", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(5, 5)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "64", 
         "num_group": "1", 
         "pad": "(2, 2)", 
         "stride": "(1, 1)"
       }, 
-      "inputs": [[35, 0, 0], [36, 0, 0], [37, 0, 0]]
+      "inputs": [[28, 0, 0], [33, 0, 0], [34, 0, 0]]
     }, 
     {
       "op": "relu", 
       "name": "relu5", 
-      "inputs": [[38, 0, 0]]
+      "inputs": [[35, 0, 0]]
     }, 
     {
       "op": "Concat", 
@@ -332,87 +308,71 @@
         "dim": "1", 
         "num_args": "2"
       }, 
-      "inputs": [[34, 0, 0], [39, 0, 0]]
-    }, 
-    {
-      "op": "Pad", 
-      "name": "pad8", 
-      "attrs": {
-        "mode": "constant", 
-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
-      }, 
-      "inputs": [[40, 0, 0]]
+      "inputs": [[32, 0, 0], [36, 0, 0]]
     }, 
     {
       "op": "null", 
-      "name": "learned_12", 
+      "name": "convolution9_weight", 
       "attrs": {"__shape__": "(128, 128, 3, 3)"}, 
       "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "learned_13", 
+      "name": "convolution9_bias", 
       "attrs": {"__shape__": "(128,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution8", 
+      "name": "convolution9", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(3, 3)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "128", 
         "num_group": "1", 
         "pad": "(1, 1)", 
         "stride": "(1, 1)"
       }, 
-      "inputs": [[41, 0, 0], [42, 0, 0], [43, 0, 0]]
+      "inputs": [[37, 0, 0], [38, 0, 0], [39, 0, 0]]
     }, 
     {
       "op": "relu", 
       "name": "relu6", 
-      "inputs": [[44, 0, 0]]
-    }, 
-    {
-      "op": "Pad", 
-      "name": "pad9", 
-      "attrs": {
-        "mode": "constant", 
-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
-      }, 
       "inputs": [[40, 0, 0]]
     }, 
     {
       "op": "null", 
-      "name": "learned_16", 
+      "name": "convolution10_weight", 
       "attrs": {"__shape__": "(128, 128, 5, 5)"}, 
       "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "learned_17", 
+      "name": "convolution10_bias", 
       "attrs": {"__shape__": "(128,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution9", 
+      "name": "convolution10", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(5, 5)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "128", 
         "num_group": "1", 
         "pad": "(2, 2)", 
         "stride": "(1, 1)"
       }, 
-      "inputs": [[46, 0, 0], [47, 0, 0], [48, 0, 0]]
+      "inputs": [[37, 0, 0], [42, 0, 0], [43, 0, 0]]
     }, 
     {
       "op": "relu", 
       "name": "relu7", 
-      "inputs": [[49, 0, 0]]
+      "inputs": [[44, 0, 0]]
     }, 
     {
       "op": "Concat", 
@@ -421,120 +381,103 @@
         "dim": "1", 
         "num_args": "2"
       }, 
-      "inputs": [[45, 0, 0], [50, 0, 0]]
+      "inputs": [[41, 0, 0], [45, 0, 0]]
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-      "name": "pad10", 
-      "attrs": {
-        "mode": "constant", 
-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
-      }, 
-      "inputs": [[51, 0, 0]]
+      "op": "null", 
+      "name": "convolution11_weight", 
+      "attrs": {"__shape__": "(64, 256, 1, 1)"}, 
+      "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "learned_18", 
-      "attrs": {"__shape__": "(64, 256, 1, 1)"}, 
+      "name": "convolution11_bias", 
+      "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution10", 
+      "name": "convolution11", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(1, 1)", 
-        "no_bias": "True", 
+        "layout": "NCHW", 
+        "no_bias": "False", 
         "num_filter": "64", 
         "num_group": "1", 
+        "pad": "(0, 0)", 
         "stride": "(1, 1)"
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-      "inputs": [[52, 0, 0], [53, 0, 0]]
+      "inputs": [[46, 0, 0], [47, 0, 0], [48, 0, 0]]
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       "op": "broadcast_add", 
       "name": "broadcast_add1", 
-      "inputs": [[54, 0, 0], [29, 0, 0]]
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-      "name": "pad11", 
-      "attrs": {
-        "mode": "constant", 
-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
-      }, 
-      "inputs": [[55, 0, 0]]
+      "inputs": [[49, 0, 0], [28, 0, 0]]
     }, 
     {
       "op": "null", 
-      "name": "learned_19", 
+      "name": "convolution12_weight", 
       "attrs": {"__shape__": "(64, 64, 3, 3)"}, 
       "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "learned_20", 
+      "name": "convolution12_bias", 
       "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution11", 
+      "name": "convolution12", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(3, 3)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "64", 
         "num_group": "1", 
         "pad": "(1, 1)", 
         "stride": "(1, 1)"
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-      "inputs": [[56, 0, 0], [57, 0, 0], [58, 0, 0]]
+      "inputs": [[50, 0, 0], [51, 0, 0], [52, 0, 0]]
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     {
       "op": "relu", 
       "name": "relu8", 
-      "inputs": [[59, 0, 0]]
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-      "name": "pad12", 
-      "attrs": {
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-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
-      }, 
-      "inputs": [[55, 0, 0]]
+      "inputs": [[53, 0, 0]]
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     {
       "op": "null", 
-      "name": "learned_23", 
+      "name": "convolution13_weight", 
       "attrs": {"__shape__": "(64, 64, 5, 5)"}, 
       "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "learned_24", 
+      "name": "convolution13_bias", 
       "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution12", 
+      "name": "convolution13", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(5, 5)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "64", 
         "num_group": "1", 
         "pad": "(2, 2)", 
         "stride": "(1, 1)"
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-      "inputs": [[61, 0, 0], [62, 0, 0], [63, 0, 0]]
+      "inputs": [[50, 0, 0], [55, 0, 0], [56, 0, 0]]
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     {
       "op": "relu", 
       "name": "relu9", 
-      "inputs": [[64, 0, 0]]
+      "inputs": [[57, 0, 0]]
     }, 
     {
       "op": "Concat", 
@@ -543,87 +486,71 @@
         "dim": "1", 
         "num_args": "2"
       }, 
-      "inputs": [[60, 0, 0], [65, 0, 0]]
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-    {
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-      "attrs": {
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-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
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-      "inputs": [[66, 0, 0]]
+      "inputs": [[54, 0, 0], [58, 0, 0]]
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     {
       "op": "null", 
-      "name": "learned_21", 
+      "name": "convolution14_weight", 
       "attrs": {"__shape__": "(128, 128, 3, 3)"}, 
       "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "learned_22", 
+      "name": "convolution14_bias", 
       "attrs": {"__shape__": "(128,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution13", 
+      "name": "convolution14", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(3, 3)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "128", 
         "num_group": "1", 
         "pad": "(1, 1)", 
         "stride": "(1, 1)"
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-      "inputs": [[67, 0, 0], [68, 0, 0], [69, 0, 0]]
+      "inputs": [[59, 0, 0], [60, 0, 0], [61, 0, 0]]
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     {
       "op": "relu", 
       "name": "relu10", 
-      "inputs": [[70, 0, 0]]
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-      "attrs": {
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-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
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-      "inputs": [[66, 0, 0]]
+      "inputs": [[62, 0, 0]]
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       "op": "null", 
-      "name": "learned_25", 
+      "name": "convolution15_weight", 
       "attrs": {"__shape__": "(128, 128, 5, 5)"}, 
       "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "learned_26", 
+      "name": "convolution15_bias", 
       "attrs": {"__shape__": "(128,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution14", 
+      "name": "convolution15", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(5, 5)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "128", 
         "num_group": "1", 
         "pad": "(2, 2)", 
         "stride": "(1, 1)"
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-      "inputs": [[72, 0, 0], [73, 0, 0], [74, 0, 0]]
+      "inputs": [[59, 0, 0], [64, 0, 0], [65, 0, 0]]
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     {
       "op": "relu", 
       "name": "relu11", 
-      "inputs": [[75, 0, 0]]
+      "inputs": [[66, 0, 0]]
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       "op": "Concat", 
@@ -632,120 +559,103 @@
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         "num_args": "2"
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+      "inputs": [[63, 0, 0], [67, 0, 0]]
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-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
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-      "inputs": [[77, 0, 0]]
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+      "inputs": []
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-      "name": "learned_27", 
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+      "name": "convolution16_bias", 
+      "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
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     {
       "op": "Convolution", 
-      "name": "convolution15", 
+      "name": "convolution16", 
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         "dilate": "(1, 1)", 
         "kernel": "(1, 1)", 
-        "no_bias": "True", 
+        "layout": "NCHW", 
+        "no_bias": "False", 
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+        "pad": "(0, 0)", 
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       "inputs": []
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-      "name": "convolution16", 
+      "name": "convolution17", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(3, 3)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
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-      "name": "learned_33", 
+      "name": "convolution18_bias", 
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       "inputs": []
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     {
       "op": "Convolution", 
-      "name": "convolution17", 
+      "name": "convolution18", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(5, 5)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "64", 
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         "pad": "(2, 2)", 
         "stride": "(1, 1)"
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@@ -754,87 +664,71 @@
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       "inputs": []
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-      "name": "learned_31", 
+      "name": "convolution19_bias", 
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       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution18", 
+      "name": "convolution19", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(3, 3)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "128", 
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         "pad": "(1, 1)", 
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+      "inputs": [[84, 0, 0]]
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       "inputs": []
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-      "name": "learned_35", 
+      "name": "convolution20_bias", 
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       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution19", 
+      "name": "convolution20", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(5, 5)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "128", 
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         "pad": "(2, 2)", 
         "stride": "(1, 1)"
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       "name": "relu15", 
-      "inputs": [[101, 0, 0]]
+      "inputs": [[88, 0, 0]]
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@@ -843,120 +737,103 @@
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         "num_args": "2"
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+      "inputs": [[85, 0, 0], [89, 0, 0]]
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-      "inputs": [[103, 0, 0]]
+      "op": "null", 
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+      "inputs": []
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       "op": "null", 
-      "name": "learned_36", 
-      "attrs": {"__shape__": "(64, 256, 1, 1)"}, 
+      "name": "convolution21_bias", 
+      "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution20", 
+      "name": "convolution21", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(1, 1)", 
-        "no_bias": "True", 
+        "layout": "NCHW", 
+        "no_bias": "False", 
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         "num_group": "1", 
+        "pad": "(0, 0)", 
         "stride": "(1, 1)"
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       "inputs": []
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+      "name": "convolution22_bias", 
       "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
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     {
       "op": "Convolution", 
-      "name": "convolution21", 
+      "name": "convolution22", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(3, 3)", 
+        "layout": "NCHW", 
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       "inputs": []
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-      "name": "learned_42", 
+      "name": "convolution23_bias", 
       "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution22", 
+      "name": "convolution23", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(5, 5)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
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         "pad": "(2, 2)", 
         "stride": "(1, 1)"
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       "op": "relu", 
       "name": "relu17", 
-      "inputs": [[116, 0, 0]]
+      "inputs": [[101, 0, 0]]
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@@ -965,87 +842,71 @@
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       "inputs": []
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     {
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-      "name": "learned_40", 
+      "name": "convolution24_bias", 
       "attrs": {"__shape__": "(128,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution23", 
+      "name": "convolution24", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(3, 3)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
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         "pad": "(1, 1)", 
         "stride": "(1, 1)"
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-      "attrs": {
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-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
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-      "inputs": [[118, 0, 0]]
+      "inputs": [[106, 0, 0]]
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+      "name": "convolution25_weight", 
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       "inputs": []
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     {
       "op": "null", 
-      "name": "learned_44", 
+      "name": "convolution25_bias", 
       "attrs": {"__shape__": "(128,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution24", 
+      "name": "convolution25", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(5, 5)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "128", 
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         "pad": "(2, 2)", 
         "stride": "(1, 1)"
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       "op": "relu", 
       "name": "relu19", 
-      "inputs": [[127, 0, 0]]
+      "inputs": [[110, 0, 0]]
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       "op": "Concat", 
@@ -1054,120 +915,103 @@
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         "num_args": "2"
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+      "inputs": [[107, 0, 0], [111, 0, 0]]
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-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
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+      "op": "null", 
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+      "inputs": []
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-      "name": "learned_45", 
-      "attrs": {"__shape__": "(64, 256, 1, 1)"}, 
+      "name": "convolution26_bias", 
+      "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution25", 
+      "name": "convolution26", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(1, 1)", 
-        "no_bias": "True", 
+        "layout": "NCHW", 
+        "no_bias": "False", 
         "num_filter": "64", 
         "num_group": "1", 
+        "pad": "(0, 0)", 
         "stride": "(1, 1)"
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-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
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       "inputs": []
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-      "name": "learned_47", 
+      "name": "convolution27_bias", 
       "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
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     {
       "op": "Convolution", 
-      "name": "convolution26", 
+      "name": "convolution27", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(3, 3)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
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+      "inputs": [[119, 0, 0]]
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       "inputs": []
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-      "name": "learned_51", 
+      "name": "convolution28_bias", 
       "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution27", 
+      "name": "convolution28", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(5, 5)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "64", 
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         "pad": "(2, 2)", 
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       "name": "relu21", 
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+      "inputs": [[123, 0, 0]]
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@@ -1176,87 +1020,71 @@
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+      "inputs": [[120, 0, 0], [124, 0, 0]]
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       "inputs": []
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     {
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-      "name": "learned_49", 
+      "name": "convolution29_bias", 
       "attrs": {"__shape__": "(128,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution28", 
+      "name": "convolution29", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(3, 3)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
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         "stride": "(1, 1)"
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-      "attrs": {
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-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
-      }, 
-      "inputs": [[144, 0, 0]]
+      "inputs": [[128, 0, 0]]
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-      "name": "learned_52", 
+      "name": "convolution30_weight", 
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       "inputs": []
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     {
       "op": "null", 
-      "name": "learned_53", 
+      "name": "convolution30_bias", 
       "attrs": {"__shape__": "(128,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution29", 
+      "name": "convolution30", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(5, 5)", 
+        "layout": "NCHW", 
         "no_bias": "False", 
         "num_filter": "128", 
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         "pad": "(2, 2)", 
         "stride": "(1, 1)"
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     {
       "op": "relu", 
       "name": "relu23", 
-      "inputs": [[153, 0, 0]]
+      "inputs": [[132, 0, 0]]
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     {
       "op": "Concat", 
@@ -1265,120 +1093,103 @@
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         "num_args": "2"
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+      "inputs": [[129, 0, 0], [133, 0, 0]]
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-        "pad_width": "(0, 0, 0, 0, 0, 0, 0, 0)"
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@@ -1476,120 +1271,103 @@
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@@ -1598,87 +1376,71 @@
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@@ -1687,40 +1449,39 @@
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@@ -1729,188 +1490,264 @@
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diff --git a/MSRN/MSRN_2x_old-0000.params b/MSRN/MSRN_2x_old-0000.params
new file mode 100644
index 0000000..6da5ed3
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diff --git a/MSRN/MSRN_2x_old-symbol.json b/MSRN/MSRN_2x_old-symbol.json
new file mode 100644
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+}
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diff --git a/MSRN/MSRN_3x-0000.params b/MSRN/MSRN_3x-0000.params
index cd19db7..0583c43 100644
Binary files a/MSRN/MSRN_3x-0000.params and b/MSRN/MSRN_3x-0000.params differ
diff --git a/MSRN/MSRN_3x-symbol.json b/MSRN/MSRN_3x-symbol.json
index 61d3212..c2180eb 100644
--- a/MSRN/MSRN_3x-symbol.json
+++ b/MSRN/MSRN_3x-symbol.json
@@ -7,40 +7,73 @@
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     {
       "op": "null", 
-      "name": "conv_input.weight", 
-      "attrs": {"__shape__": "(64, 1, 3, 3)"}, 
+      "name": "convolution0_weight", 
+      "attrs": {"__shape__": "(3, 3, 1, 1)"}, 
+      "inputs": []
+    }, 
+    {
+      "op": "null", 
+      "name": "convolution0_bias", 
+      "attrs": {"__shape__": "(3,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
       "name": "convolution0", 
+      "attrs": {
+        "dilate": "(1, 1)", 
+        "kernel": "(1, 1)", 
+        "layout": "NCHW", 
+        "no_bias": "False", 
+        "num_filter": "3", 
+        "num_group": "1", 
+        "pad": "(0, 0)", 
+        "stride": "(1, 1)"
+      }, 
+      "inputs": [[0, 0, 0], [1, 0, 0], [2, 0, 0]]
+    }, 
+    {
+      "op": "null", 
+      "name": "convolution1_weight", 
+      "attrs": {"__shape__": "(64, 3, 3, 3)"}, 
+      "inputs": []
+    }, 
+    {
+      "op": "null", 
+      "name": "convolution1_bias", 
+      "attrs": {"__shape__": "(64,)"}, 
+      "inputs": []
+    }, 
+    {
+      "op": "Convolution", 
+      "name": "convolution1", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(3, 3)", 
         "layout": "NCHW", 
-        "no_bias": "True", 
+        "no_bias": "False", 
         "num_filter": "64", 
         "num_group": "1", 
         "pad": "(1, 1)", 
         "stride": "(1, 1)"
       }, 
-      "inputs": [[0, 0, 0], [1, 0, 0]]
+      "inputs": [[3, 0, 0], [4, 0, 0], [5, 0, 0]]
     }, 
     {
       "op": "null", 
-      "name": "residual1.0.conv_3_1.weight", 
+      "name": "convolution2_weight", 
       "attrs": {"__shape__": "(64, 64, 3, 3)"}, 
       "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "residual1.0.conv_3_1.bias", 
+      "name": "convolution2_bias", 
       "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution1", 
+      "name": "convolution2", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(3, 3)", 
@@ -51,28 +84,28 @@
         "pad": "(1, 1)", 
         "stride": "(1, 1)"
       }, 
-      "inputs": [[2, 0, 0], [3, 0, 0], [4, 0, 0]]
+      "inputs": [[6, 0, 0], [7, 0, 0], [8, 0, 0]]
     }, 
     {
       "op": "relu", 
       "name": "relu0", 
-      "inputs": [[5, 0, 0]]
+      "inputs": [[9, 0, 0]]
     }, 
     {
       "op": "null", 
-      "name": "residual1.0.conv_5_1.weight", 
+      "name": "convolution3_weight", 
       "attrs": {"__shape__": "(64, 64, 5, 5)"}, 
       "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "residual1.0.conv_5_1.bias", 
+      "name": "convolution3_bias", 
       "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution2", 
+      "name": "convolution3", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(5, 5)", 
@@ -83,12 +116,12 @@
         "pad": "(2, 2)", 
         "stride": "(1, 1)"
       }, 
-      "inputs": [[2, 0, 0], [7, 0, 0], [8, 0, 0]]
+      "inputs": [[6, 0, 0], [11, 0, 0], [12, 0, 0]]
     }, 
     {
       "op": "relu", 
       "name": "relu1", 
-      "inputs": [[9, 0, 0]]
+      "inputs": [[13, 0, 0]]
     }, 
     {
       "op": "Concat", 
@@ -97,23 +130,23 @@
         "dim": "1", 
         "num_args": "2"
       }, 
-      "inputs": [[6, 0, 0], [10, 0, 0]]
+      "inputs": [[10, 0, 0], [14, 0, 0]]
     }, 
     {
       "op": "null", 
-      "name": "residual1.0.conv_3_2.weight", 
+      "name": "convolution4_weight", 
       "attrs": {"__shape__": "(128, 128, 3, 3)"}, 
       "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "residual1.0.conv_3_2.bias", 
+      "name": "convolution4_bias", 
       "attrs": {"__shape__": "(128,)"}, 
       "inputs": []
     }, 
     {
       "op": "Convolution", 
-      "name": "convolution3", 
+      "name": "convolution4", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(3, 3)", 
@@ -124,28 +157,28 @@
         "pad": "(1, 1)", 
         "stride": "(1, 1)"
       }, 
-      "inputs": [[11, 0, 0], [12, 0, 0], [13, 0, 0]]
+      "inputs": [[15, 0, 0], [16, 0, 0], [17, 0, 0]]
     }, 
     {
       "op": "relu", 
       "name": "relu2", 
-      "inputs": [[14, 0, 0]]
+      "inputs": [[18, 0, 0]]
     }, 
     {
       "op": "null", 
-      "name": "residual1.0.conv_5_2.weight", 
+      "name": "convolution5_weight", 
       "attrs": {"__shape__": "(128, 128, 5, 5)"}, 
       "inputs": []
     }, 
     {
       "op": "null", 
-      "name": "residual1.0.conv_5_2.bias", 
+      "name": "convolution5_bias", 
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-      "name": "convolution4", 
+      "name": "convolution5", 
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@@ -156,12 +189,12 @@
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         "stride": "(1, 1)"
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+      "inputs": [[15, 0, 0], [20, 0, 0], [21, 0, 0]]
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       "name": "relu3", 
-      "inputs": [[18, 0, 0]]
+      "inputs": [[22, 0, 0]]
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@@ -170,49 +203,55 @@
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         "num_args": "2"
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+      "inputs": [[19, 0, 0], [23, 0, 0]]
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-      "name": "residual1.0.confusion.weight", 
+      "name": "convolution6_weight", 
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       "inputs": []
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+    {
+      "op": "null", 
+      "name": "convolution6_bias", 
+      "attrs": {"__shape__": "(64,)"}, 
+      "inputs": []
+    }, 
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       "op": "Convolution", 
-      "name": "convolution5", 
+      "name": "convolution6", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(1, 1)", 
         "layout": "NCHW", 
-        "no_bias": "True", 
+        "no_bias": "False", 
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         "num_group": "1", 
         "pad": "(0, 0)", 
         "stride": "(1, 1)"
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       "name": "broadcast_add0", 
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+      "name": "convolution7_weight", 
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       "op": "null", 
-      "name": "residual2.0.conv_3_1.bias", 
+      "name": "convolution7_bias", 
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       "inputs": []
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       "op": "Convolution", 
-      "name": "convolution6", 
+      "name": "convolution7", 
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@@ -223,28 +262,28 @@
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         "stride": "(1, 1)"
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+      "inputs": [[31, 0, 0]]
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+      "name": "convolution8_bias", 
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       "inputs": []
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-      "name": "convolution7", 
+      "name": "convolution8", 
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@@ -255,12 +294,12 @@
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         "stride": "(1, 1)"
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       "name": "relu5", 
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+      "inputs": [[35, 0, 0]]
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@@ -269,23 +308,23 @@
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         "num_args": "2"
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+      "inputs": [[32, 0, 0], [36, 0, 0]]
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       "op": "null", 
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       "op": "Convolution", 
-      "name": "convolution8", 
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@@ -296,28 +335,28 @@
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         "stride": "(1, 1)"
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       "inputs": []
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-      "name": "convolution9", 
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@@ -328,12 +367,12 @@
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+      "inputs": [[44, 0, 0]]
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@@ -342,49 +381,55 @@
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       "inputs": []
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+    {
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+      "name": "convolution11_bias", 
+      "attrs": {"__shape__": "(64,)"}, 
+      "inputs": []
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-      "name": "convolution10", 
+      "name": "convolution11", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(1, 1)", 
         "layout": "NCHW", 
-        "no_bias": "True", 
+        "no_bias": "False", 
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         "num_group": "1", 
         "pad": "(0, 0)", 
         "stride": "(1, 1)"
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       "op": "null", 
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+      "name": "convolution12_bias", 
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       "inputs": []
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-      "name": "convolution11", 
+      "name": "convolution12", 
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@@ -395,28 +440,28 @@
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+      "inputs": [[53, 0, 0]]
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+      "name": "convolution13_bias", 
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       "inputs": []
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-      "name": "convolution12", 
+      "name": "convolution13", 
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@@ -427,12 +472,12 @@
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+      "inputs": [[57, 0, 0]]
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@@ -441,23 +486,23 @@
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       "inputs": []
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-      "name": "convolution13", 
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@@ -468,28 +513,28 @@
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-      "inputs": [[56, 0, 0]]
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       "op": "null", 
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+      "name": "convolution15_bias", 
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       "inputs": []
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       "op": "Convolution", 
-      "name": "convolution14", 
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@@ -500,12 +545,12 @@
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       "name": "relu11", 
-      "inputs": [[60, 0, 0]]
+      "inputs": [[66, 0, 0]]
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@@ -514,49 +559,55 @@
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+      "name": "convolution16_weight", 
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       "inputs": []
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+    {
+      "op": "null", 
+      "name": "convolution16_bias", 
+      "attrs": {"__shape__": "(64,)"}, 
+      "inputs": []
+    }, 
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       "op": "Convolution", 
-      "name": "convolution15", 
+      "name": "convolution16", 
       "attrs": {
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         "kernel": "(1, 1)", 
         "layout": "NCHW", 
-        "no_bias": "True", 
+        "no_bias": "False", 
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         "stride": "(1, 1)"
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+      "name": "convolution17_bias", 
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       "inputs": []
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-      "name": "convolution16", 
+      "name": "convolution17", 
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@@ -567,28 +618,28 @@
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       "op": "null", 
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+      "name": "convolution18_bias", 
       "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
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     {
       "op": "Convolution", 
-      "name": "convolution17", 
+      "name": "convolution18", 
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@@ -599,12 +650,12 @@
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       "name": "relu13", 
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+      "inputs": [[79, 0, 0]]
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@@ -613,23 +664,23 @@
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       "op": "null", 
-      "name": "residual4.0.conv_3_2.bias", 
+      "name": "convolution19_bias", 
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       "inputs": []
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-      "name": "convolution18", 
+      "name": "convolution19", 
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@@ -640,28 +691,28 @@
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+      "inputs": [[84, 0, 0]]
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       "op": "null", 
-      "name": "residual4.0.conv_5_2.bias", 
+      "name": "convolution20_bias", 
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       "inputs": []
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     {
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-      "name": "convolution19", 
+      "name": "convolution20", 
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@@ -672,12 +723,12 @@
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-      "inputs": [[81, 0, 0]]
+      "inputs": [[88, 0, 0]]
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@@ -686,49 +737,55 @@
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       "inputs": []
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+    {
+      "op": "null", 
+      "name": "convolution21_bias", 
+      "attrs": {"__shape__": "(64,)"}, 
+      "inputs": []
+    }, 
     {
       "op": "Convolution", 
-      "name": "convolution20", 
+      "name": "convolution21", 
       "attrs": {
         "dilate": "(1, 1)", 
         "kernel": "(1, 1)", 
         "layout": "NCHW", 
-        "no_bias": "True", 
+        "no_bias": "False", 
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+      "name": "convolution22_bias", 
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-      "name": "convolution21", 
+      "name": "convolution22", 
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@@ -739,28 +796,28 @@
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+      "inputs": [[97, 0, 0]]
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       "op": "null", 
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+      "name": "convolution23_bias", 
       "attrs": {"__shape__": "(64,)"}, 
       "inputs": []
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     {
       "op": "Convolution", 
-      "name": "convolution22", 
+      "name": "convolution23", 
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@@ -771,12 +828,12 @@
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+      "inputs": [[101, 0, 0]]
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@@ -785,23 +842,23 @@
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       "op": "null", 
-      "name": "residual5.0.conv_3_2.bias", 
+      "name": "convolution24_bias", 
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@@ -812,28 +869,28 @@
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@@ -844,12 +901,12 @@
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@@ -858,49 +915,55 @@
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         "kernel": "(1, 1)", 
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+        "no_bias": "False", 
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@@ -911,28 +974,28 @@
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@@ -943,12 +1006,12 @@
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@@ -984,28 +1047,28 @@
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@@ -1016,12 +1079,12 @@
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@@ -1030,49 +1093,55 @@
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+      "inputs": []
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         "kernel": "(1, 1)", 
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-        "no_bias": "True", 
+        "no_bias": "False", 
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         "stride": "(1, 1)"
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@@ -1083,28 +1152,28 @@
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       "inputs": []
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-      "name": "convolution32", 
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@@ -1115,12 +1184,12 @@
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@@ -1129,23 +1198,23 @@
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@@ -1156,28 +1225,28 @@
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-      "name": "convolution34", 
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@@ -1188,12 +1257,12 @@
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@@ -1202,49 +1271,55 @@
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       "inputs": []
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+      "name": "convolution36_bias", 
+      "attrs": {"__shape__": "(64,)"}, 
+      "inputs": []
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-      "name": "convolution35", 
+      "name": "convolution36", 
       "attrs": {
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         "kernel": "(1, 1)", 
         "layout": "NCHW", 
-        "no_bias": "True", 
+        "no_bias": "False", 
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         "stride": "(1, 1)"
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+      "name": "convolution37_bias", 
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-      "name": "convolution36", 
+      "name": "convolution37", 
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@@ -1255,28 +1330,28 @@
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+      "name": "convolution38_bias", 
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       "inputs": []
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     {
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-      "name": "convolution37", 
+      "name": "convolution38", 
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@@ -1287,12 +1362,12 @@
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       "name": "relu29", 
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+      "inputs": [[167, 0, 0]]
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@@ -1301,23 +1376,23 @@
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+      "name": "convolution39_bias", 
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     {
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-      "name": "convolution38", 
+      "name": "convolution39", 
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@@ -1328,28 +1403,28 @@
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+      "name": "convolution40_bias", 
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       "inputs": []
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     {
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-      "name": "convolution39", 
+      "name": "convolution40", 
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@@ -1360,12 +1435,12 @@
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@@ -1374,33 +1449,39 @@
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       "inputs": []
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+    {
+      "op": "null", 
+      "name": "convolution41_bias", 
+      "attrs": {"__shape__": "(64,)"}, 
+      "inputs": []
+    }, 
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-      "name": "convolution40", 
+      "name": "convolution41", 
       "attrs": {
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         "kernel": "(1, 1)", 
         "layout": "NCHW", 
-        "no_bias": "True", 
+        "no_bias": "False", 
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@@ -1409,174 +1490,264 @@
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+      "name": "convolution42_weight", 
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       "inputs": []
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+    {
+      "op": "null", 
+      "name": "convolution42_bias", 
+      "attrs": {"__shape__": "(64,)"}, 
+      "inputs": []
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       "op": "Convolution", 
-      "name": "convolution41", 
+      "name": "convolution42", 
       "attrs": {
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-        "no_bias": "True", 
+        "no_bias": "False", 
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+    {
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+      "name": "convolution43_bias", 
+      "attrs": {"__shape__": "(64,)"}, 
+      "inputs": []
+    }, 
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diff --git a/MSRN/MSRN_3x_old-0000.params b/MSRN/MSRN_3x_old-0000.params
new file mode 100644
index 0000000..cd19db7
Binary files /dev/null and b/MSRN/MSRN_3x_old-0000.params differ
diff --git a/MSRN/MSRN_3x_old-symbol.json b/MSRN/MSRN_3x_old-symbol.json
new file mode 100644
index 0000000..61d3212
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diff --git a/MSRN/MSRN_4x-0000.params b/MSRN/MSRN_4x-0000.params
new file mode 100644
index 0000000..9a3f38b
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diff --git a/MSRN/MSRN_4x-symbol.json b/MSRN/MSRN_4x-symbol.json
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+    162, 
+    163, 
+    164, 
+    165, 
+    166, 
+    167, 
+    168, 
+    169, 
+    170, 
+    171, 
+    172, 
+    173, 
+    174, 
+    175, 
+    176, 
+    177, 
+    178, 
+    179, 
+    180, 
+    181, 
+    182, 
+    183, 
+    184, 
+    185, 
+    186, 
+    187, 
+    188, 
+    189, 
+    190, 
+    191, 
+    192, 
+    193, 
+    194, 
+    195, 
+    196, 
+    197, 
+    198, 
+    199, 
+    200, 
+    201, 
+    202, 
+    203, 
+    204, 
+    205, 
+    206, 
+    207, 
+    208, 
+    209, 
+    210
+  ], 
+  "heads": [[209, 0, 0]], 
+  "attrs": {"mxnet_version": ["int", 10300]}
+}
\ No newline at end of file
diff --git a/MSRN/README.md b/MSRN/README.md
index 39da4a8..f7e63e9 100644
--- a/MSRN/README.md
+++ b/MSRN/README.md
@@ -1,4 +1,4 @@
-Converted from **official** [MIVRC/MSRN-PyTorch](https://github.com/MIVRC/MSRN-PyTorch/tree/c015fb32fe67c0330240535741adf706dde82dd5).
+Converted from **official** [MIVRC/MSRN-PyTorch](https://github.com/MIVRC/MSRN-PyTorch/tree/3951f331b93c2328207bbf681a68a072814b48c4).
 
 ---
 
diff --git a/MSRN/info.md b/MSRN/info.md
index 9db85c8..1db0621 100644
--- a/MSRN/info.md
+++ b/MSRN/info.md
@@ -1,7 +1,18 @@
+**Note**: Pre-processing has been included in the model's definition (The range of input and output has been set to 1).
+
 ```python
 # MSRN_2x
-sr_args = dict(up_scale=2, is_rgb_model=False, pad=None, crop=None, pre_upscale=False, upscale_uv=False)
+sr_args = dict(up_scale=2, is_rgb_model=True, pad=None, crop=None, pre_upscale=False)
 
 # MSRN_3x
+sr_args = dict(up_scale=3, is_rgb_model=True, pad=None, crop=None, pre_upscale=False)
+
+# MSRN_4x
+sr_args = dict(up_scale=4, is_rgb_model=True, pad=None, crop=None, pre_upscale=False)
+
+# MSRN_2x_old
+sr_args = dict(up_scale=2, is_rgb_model=False, pad=None, crop=None, pre_upscale=False, upscale_uv=False)
+
+# MSRN_3x_old
 sr_args = dict(up_scale=3, is_rgb_model=False, pad=None, crop=None, pre_upscale=False, upscale_uv=False)
 ```