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@pashu123
Created March 15, 2022 15:18
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module attributes {torch.debug_module_name = "GraphModule"} {
func private @__torch__.torch.fx.graph_module.___torch_mangle_2.GraphModule.forward(%arg0: !torch.nn.Module<"__torch__.torch.fx.graph_module.___torch_mangle_2.GraphModule">, %arg1: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg2: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg3: !torch.tensor {torch.type_bound = !torch.vtensor<[128],f32>}, %arg4: !torch.tensor {torch.type_bound = !torch.vtensor<[2048,512,1,1],f32>}, %arg5: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg6: !torch.tensor {torch.type_bound = !torch.vtensor<[1,64,56,56],f32>}, %arg7: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg8: !torch.tensor {torch.type_bound = !torch.vtensor<[1,128,28,28],f32>}, %arg9: !torch.tensor {torch.type_bound = !torch.vtensor<[1024],f32>}, %arg10: !torch.tensor {torch.type_bound = !torch.vtensor<[1,128,28,28],f32>}, %arg11: !torch.tensor {torch.type_bound = !torch.vtensor<[1,128,28,28],f32>}, %arg12: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg13: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg14: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg15: !torch.tensor {torch.type_bound = !torch.vtensor<[128,512,1,1],f32>}, %arg16: !torch.tensor {torch.type_bound = !torch.vtensor<[256,256,3,3],f32>}, %arg17: !torch.tensor {torch.type_bound = !torch.vtensor<[64,64,3,3],f32>}, %arg18: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg19: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg20: !torch.tensor {torch.type_bound = !torch.vtensor<[64],f32>}, %arg21: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg22: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg23: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,28,28],f32>}, %arg24: !torch.tensor {torch.type_bound = !torch.vtensor<[1,2048,7,7],f32>}, %arg25: !torch.tensor {torch.type_bound = !torch.vtensor<[128],f32>}, %arg26: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg27: !torch.tensor {torch.type_bound = !torch.vtensor<[1,128,28,28],f32>}, %arg28: !torch.tensor {torch.type_bound = !torch.vtensor<[512],f32>}, %arg29: !torch.tensor {torch.type_bound = !torch.vtensor<[2048],f32>}, %arg30: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,7,7],f32>}, %arg31: !torch.tensor {torch.type_bound = !torch.vtensor<[1024,256,1,1],f32>}, %arg32: !torch.tensor {torch.type_bound = !torch.vtensor<[64,3,7,7],f32>}, %arg33: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg34: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg35: !torch.tensor {torch.type_bound = !torch.vtensor<[1024],f32>}, %arg36: !torch.tensor {torch.type_bound = !torch.vtensor<[1024],f32>}, %arg37: !torch.tensor {torch.type_bound = !torch.vtensor<[1024,256,1,1],f32>}, %arg38: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,7,7],f32>}, %arg39: !torch.tensor {torch.type_bound = !torch.vtensor<[512],f32>}, %arg40: !torch.tensor {torch.type_bound = !torch.vtensor<[1,128,56,56],f32>}, %arg41: !torch.tensor {torch.type_bound = !torch.vtensor<[1024],f32>}, %arg42: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg43: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg44: !torch.tensor {torch.type_bound = !torch.vtensor<[64],f32>}, %arg45: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg46: !torch.tensor {torch.type_bound = !torch.vtensor<[1024,512,1,1],f32>}, %arg47: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg48: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg49: !torch.tensor {torch.type_bound = !torch.vtensor<[1024],f32>}, %arg50: !torch.tensor {torch.type_bound = !torch.vtensor<[512,128,1,1],f32>}, %arg51: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg52: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg53: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg54: !torch.tensor {torch.type_bound = !torch.vtensor<[1,128,28,28],f32>}, %arg55: !torch.tensor {torch.type_bound = !torch.vtensor<[1,128,28,28],f32>}, %arg56: !torch.tensor {torch.type_bound = !torch.vtensor<[512,128,1,1],f32>}, %arg57: !torch.tensor {torch.type_bound = !torch.vtensor<[1,2048],f32>}, %arg58: !torch.tensor {torch.type_bound = !torch.vtensor<[128,128,3,3],f32>}, %arg59: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg60: !torch.tensor {torch.type_bound = !torch.vtensor<[1,64,56,56],f32>}, %arg61: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg62: !torch.tensor {torch.type_bound = !torch.vtensor<[2048],f32>}, %arg63: !torch.tensor {torch.type_bound = !torch.vtensor<[128],f32>}, %arg64: !torch.tensor {torch.type_bound = !torch.vtensor<[1024],f32>}, %arg65: !torch.tensor {torch.type_bound = !torch.vtensor<[2048],f32>}, %arg66: !torch.tensor {torch.type_bound = !torch.vtensor<[512,512,3,3],f32>}, %arg67: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg68: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg69: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg70: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg71: !torch.tensor {torch.type_bound = !torch.vtensor<[1,64,56,56],f32>}, %arg72: !torch.tensor {torch.type_bound = !torch.vtensor<[512,2048,1,1],f32>}, %arg73: !torch.tensor {torch.type_bound = !torch.vtensor<[512],f32>}, %arg74: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,7,7],f32>}, %arg75: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg76: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,14,14],f32>}, %arg77: !torch.tensor {torch.type_bound = !torch.vtensor<[64],f32>}, %arg78: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg79: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg80: !torch.tensor {torch.type_bound = !torch.vtensor<[1,128,28,28],f32>}, %arg81: !torch.tensor {torch.type_bound = !torch.vtensor<[512],f32>}, %arg82: !torch.tensor {torch.type_bound = !torch.vtensor<[128],f32>}, %arg83: !torch.tensor {torch.type_bound = !torch.vtensor<[512,512,3,3],f32>}, %arg84: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg85: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg86: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,7,7],f32>}, %arg87: !torch.tensor {torch.type_bound = !torch.vtensor<[128],f32>}, %arg88: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg89: !torch.tensor {torch.type_bound = !torch.vtensor<[1,128,28,28],f32>}, %arg90: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,7,7],f32>}, %arg91: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg92: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg93: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg94: !torch.tensor {torch.type_bound = !torch.vtensor<[1,2048,7,7],f32>}, %arg95: !torch.tensor {torch.type_bound = !torch.vtensor<[1024,256,1,1],f32>}, %arg96: !torch.tensor {torch.type_bound = !torch.vtensor<[1024],f32>}, %arg97: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg98: !torch.tensor {torch.type_bound = !torch.vtensor<[2048],f32>}, %arg99: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg100: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,7,7],f32>}, %arg101: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg102: !torch.tensor {torch.type_bound = !torch.vtensor<[128],f32>}, %arg103: !torch.tensor {torch.type_bound = !torch.vtensor<[256,1024,1,1],f32>}, %arg104: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg105: !torch.tensor {torch.type_bound = !torch.vtensor<[64],f32>}, %arg106: !torch.tensor {torch.type_bound = !torch.vtensor<[1,64,56,56],f32>}, %arg107: !torch.tensor {torch.type_bound = !torch.vtensor<[256,1024,1,1],f32>}, %arg108: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,56,56],f32>}, %arg109: !torch.tensor {torch.type_bound = !torch.vtensor<[512],f32>}, %arg110: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg111: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg112: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg113: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg114: !torch.tensor {torch.type_bound = !torch.vtensor<[512,2048,1,1],f32>}, %arg115: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,56,56],f32>}, %arg116: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,56,56],f32>}, %arg117: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg118: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg119: !torch.tensor {torch.type_bound = !torch.vtensor<[2048],f32>}, %arg120: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,28,28],f32>}, %arg121: !torch.tensor {torch.type_bound = !torch.vtensor<[1024],f32>}, %arg122: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg123: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg124: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,7,7],f32>}, %arg125: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg126: !torch.tensor {torch.type_bound = !torch.vtensor<[1,1024,14,14],f32>}, %arg127: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg128: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg129: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,7,7],f32>}, %arg130: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg131: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg132: !torch.tensor {torch.type_bound = !torch.vtensor<[1,64,56,56],f32>}, %arg133: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg134: !torch.tensor {torch.type_bound = !torch.vtensor<[512],f32>}, %arg135: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,56,56],f32>}, %arg136: !torch.tensor {torch.type_bound = !torch.vtensor<[1,1024,14,14],f32>}, %arg137: !torch.tensor {torch.type_bound = !torch.vtensor<[1,1024,14,14],f32>}, %arg138: !torch.tensor {torch.type_bound = !torch.vtensor<[64,256,1,1],f32>}, %arg139: !torch.tensor {torch.type_bound = !torch.vtensor<[512],f32>}, %arg140: !torch.tensor {torch.type_bound = !torch.vtensor<[512],f32>}, %arg141: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg142: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg143: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg144: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg145: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,7,7],f32>}, %arg146: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg147: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg148: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,7,7],f32>}, %arg149: !torch.tensor {torch.type_bound = !torch.vtensor<[128,512,1,1],f32>}, %arg150: !torch.tensor {torch.type_bound = !torch.vtensor<[1,1024,14,14],f32>}, %arg151: !torch.tensor {torch.type_bound = !torch.vtensor<[512],f32>}, %arg152: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg153: !torch.tensor {torch.type_bound = !torch.vtensor<[512],f32>}, %arg154: !torch.tensor {torch.type_bound = !torch.vtensor<[1024,256,1,1],f32>}, %arg155: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg156: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg157: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg158: !torch.tensor {torch.type_bound = !torch.vtensor<[1,64,56,56],f32>}, %arg159: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg160: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg161: !torch.tensor {torch.type_bound = !torch.vtensor<[1,2048,7,7],f32>}, %arg162: !torch.tensor {torch.type_bound = !torch.vtensor<[512,128,1,1],f32>}, %arg163: !torch.tensor {torch.type_bound = !torch.vtensor<[2048,512,1,1],f32>}, %arg164: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,56,56],f32>}, %arg165: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg166: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg167: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg168: !torch.tensor {torch.type_bound = !torch.vtensor<[1,1024,14,14],f32>}, %arg169: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg170: !torch.tensor {torch.type_bound = !torch.vtensor<[1024],f32>}, %arg171: !torch.tensor {torch.type_bound = !torch.vtensor<[512,512,3,3],f32>}, %arg172: !torch.tensor {torch.type_bound = !torch.vtensor<[1,64,112,112],f32>}, %arg173: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,14,14],f32>}, %arg174: !torch.tensor {torch.type_bound = !torch.vtensor<[1,64,56,56],f32>}, %arg175: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg176: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg177: !torch.tensor {torch.type_bound = !torch.vtensor<[1,1024,14,14],f32>}, %arg178: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg179: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg180: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg181: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,28,28],f32>}, %arg182: !torch.tensor {torch.type_bound = !torch.vtensor<[1,1024,14,14],f32>}, %arg183: !torch.tensor {torch.type_bound = !torch.vtensor<[128,128,3,3],f32>}, %arg184: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg185: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg186: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg187: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg188: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg189: !torch.tensor {torch.type_bound = !torch.vtensor<[1,128,28,28],f32>}, %arg190: !torch.tensor {torch.type_bound = !torch.vtensor<[1024],f32>}, %arg191: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg192: !torch.tensor {torch.type_bound = !torch.vtensor<[256,256,3,3],f32>}, %arg193: !torch.tensor {torch.type_bound = !torch.vtensor<[1,3,224,224],f32>}, %arg194: !torch.tensor {torch.type_bound = !torch.vtensor<[512],f32>}, %arg195: !torch.tensor {torch.type_bound = !torch.vtensor<[64],f32>}, %arg196: !torch.tensor {torch.type_bound = !torch.vtensor<[256,64,1,1],f32>}, %arg197: !torch.tensor {torch.type_bound = !torch.vtensor<[64],f32>}, %arg198: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg199: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg200: !torch.tensor {torch.type_bound = 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!torch.tensor {torch.type_bound = !torch.vtensor<[1,512,28,28],f32>}, %arg215: !torch.tensor {torch.type_bound = !torch.vtensor<[512],f32>}, %arg216: !torch.tensor {torch.type_bound = !torch.vtensor<[1,64,56,56],f32>}, %arg217: !torch.tensor {torch.type_bound = !torch.vtensor<[1024],f32>}, %arg218: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg219: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg220: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg221: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,56,56],f32>}, %arg222: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg223: !torch.tensor {torch.type_bound = !torch.vtensor<[128],f32>}, %arg224: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg225: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg226: !torch.tensor {torch.type_bound = !torch.vtensor<[64],f32>}, %arg227: !torch.tensor {torch.type_bound = 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!torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg429: !torch.tensor {torch.type_bound = !torch.vtensor<[2048],f32>}, %arg430: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,56,56],f32>}, %arg431: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg432: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg433: !torch.tensor {torch.type_bound = !torch.vtensor<[256,256,3,3],f32>}, %arg434: !torch.tensor {torch.type_bound = !torch.vtensor<[1,2048,7,7],f32>}, %arg435: !torch.tensor {torch.type_bound = !torch.vtensor<[1,128,28,28],f32>}, %arg436: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg437: !torch.tensor {torch.type_bound = !torch.vtensor<[64],f32>}, %arg438: !torch.tensor {torch.type_bound = !torch.vtensor<[512],f32>}, %arg439: !torch.tensor {torch.type_bound = !torch.vtensor<[1,128,28,28],f32>}, %arg440: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg441: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg442: !torch.tensor {torch.type_bound = !torch.vtensor<[1,64,56,56],si64>}, %arg443: !torch.tensor {torch.type_bound = !torch.vtensor<[1,64,56,56],f32>}, %arg444: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg445: !torch.tensor {torch.type_bound = !torch.vtensor<[1,128,28,28],f32>}, %arg446: !torch.tensor {torch.type_bound = !torch.vtensor<[2048],f32>}, %arg447: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg448: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg449: !torch.tensor {torch.type_bound = !torch.vtensor<[512,128,1,1],f32>}, %arg450: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,28,28],f32>}, %arg451: !torch.tensor {torch.type_bound = !torch.vtensor<[128],f32>}, %arg452: !torch.tensor {torch.type_bound = !torch.vtensor<[128],f32>}, %arg453: !torch.tensor {torch.type_bound = !torch.vtensor<[128],f32>}, %arg454: !torch.tensor {torch.type_bound = !torch.vtensor<[1,128,28,28],f32>}, %arg455: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg456: !torch.tensor {torch.type_bound = !torch.vtensor<[128],f32>}, %arg457: !torch.tensor {torch.type_bound = !torch.vtensor<[2048],f32>}, %arg458: !torch.tensor {torch.type_bound = !torch.vtensor<[64],f32>}, %arg459: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg460: !torch.tensor {torch.type_bound = !torch.vtensor<[256],f32>}, %arg461: !torch.tensor {torch.type_bound = !torch.vtensor<[128],f32>}, %arg462: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg463: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg464: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg465: !torch.tensor {torch.type_bound = !torch.vtensor<[64],f32>}, %arg466: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg467: !torch.tensor {torch.type_bound = !torch.vtensor<[256,64,1,1],f32>}, %arg468: !torch.tensor {torch.type_bound = !torch.vtensor<[1,512,28,28],f32>}, %arg469: !torch.tensor {torch.type_bound = !torch.vtensor<[1,256,14,14],f32>}, %arg470: !torch.tensor {torch.type_bound = !torch.vtensor<[512],f32>}, %arg471: !torch.tensor {torch.type_bound = !torch.vtensor<[0],f32>}, %arg472: !torch.tensor {torch.type_bound = !torch.vtensor<[1,128,28,28],f32>}, %arg473: !torch.tensor {torch.type_bound = !torch.vtensor<[1,128,28,28],f32>}, %arg474: !torch.tensor {torch.type_bound = !torch.vtensor<[1,1000],f32>}) -> !torch.tuple<!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none> {
%false = torch.constant.bool false
%none = torch.constant.none
%true = torch.constant.bool true
%int0 = torch.constant.int 0
%int1000 = torch.constant.int 1000
%int1 = torch.constant.int 1
%int2048 = torch.constant.int 2048
%int7 = torch.constant.int 7
%int49 = torch.constant.int 49
%float1.000000e-05 = torch.constant.float 1.000000e-05
%int2 = torch.constant.int 2
%int3 = torch.constant.int 3
%1 = torch.aten.mm %arg474, %arg355 : !torch.tensor, !torch.tensor -> !torch.tensor
%2 = torch.aten.t %arg474 : !torch.tensor -> !torch.tensor
%3 = torch.aten.mm %2, %arg57 : !torch.tensor, !torch.tensor -> !torch.tensor
%4 = torch.aten.t %3 : !torch.tensor -> !torch.tensor
%5 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%6 = torch.aten.sum.dim_IntList %arg474, %5, %true, %none : !torch.tensor, !torch.list<!torch.int>, !torch.bool, !torch.none -> !torch.tensor
%7 = torch.prim.ListConstruct %int1000 : (!torch.int) -> !torch.list<!torch.int>
%8 = torch.aten.view %6, %7 : !torch.tensor, !torch.list<!torch.int> -> !torch.tensor
%9 = torch.aten.t %4 : !torch.tensor -> !torch.tensor
%10 = torch.prim.ListConstruct %int1, %int2048, %int1, %int1 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<!torch.int>
%11 = torch.aten.view %1, %10 : !torch.tensor, !torch.list<!torch.int> -> !torch.tensor
%12 = torch.prim.ListConstruct %int1, %int2048, %int7, %int7 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<!torch.int>
%13 = torch.aten.expand %11, %12, %false : !torch.tensor, !torch.list<!torch.int>, !torch.bool -> !torch.tensor
%14 = torch.aten.div.Scalar %13, %int49 : !torch.tensor, !torch.int -> !torch.tensor
%15 = torch.aten.threshold_backward %14, %arg361, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%16 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%17:3 = torch.operator "aten.native_batch_norm_backward"(%15, %arg24, %arg296, %arg65, %arg98, %arg444, %arg61, %false, %float1.000000e-05, %16) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%18 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%19 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%20 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%21 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%22 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%23 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%24:3 = torch.operator "aten.convolution_backward"(%17#0, %arg100, %arg334, %18, %19, %20, %21, %false, %22, %int1, %23) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%25 = torch.aten.threshold_backward %24#0, %arg359, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%26 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%27:3 = torch.operator "aten.native_batch_norm_backward"(%25, %arg74, %arg282, %arg194, %arg28, %arg152, %arg169, %false, %float1.000000e-05, %26) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%28 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%29 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%30 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%31 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%32 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%33 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%34:3 = torch.operator "aten.convolution_backward"(%27#0, %arg86, %arg66, %28, %29, %30, %31, %false, %32, %int1, %33) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%35 = torch.aten.threshold_backward %34#0, %arg227, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%36 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%37:3 = torch.operator "aten.native_batch_norm_backward"(%35, %arg124, %arg470, %arg383, %arg151, %arg280, %arg279, %false, %float1.000000e-05, %36) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%38 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%39 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%40 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%41 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%42 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%43 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%44:3 = torch.operator "aten.convolution_backward"(%37#0, %arg370, %arg72, %38, %39, %40, %41, %false, %42, %int1, %43) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%45 = torch.aten.add.Tensor %15, %44#0, %int1 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%46 = torch.aten.threshold_backward %45, %arg418, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%47 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%48:3 = torch.operator "aten.native_batch_norm_backward"(%46, %arg228, %arg328, %arg29, %arg429, %arg111, %arg141, %false, %float1.000000e-05, %47) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%49 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%50 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%51 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%52 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%53 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%54 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%55:3 = torch.operator "aten.convolution_backward"(%48#0, %arg38, %arg163, %49, %50, %51, %52, %false, %53, %int1, %54) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%56 = torch.aten.threshold_backward %55#0, %arg145, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%57 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%58:3 = torch.operator "aten.native_batch_norm_backward"(%56, %arg427, %arg274, %arg426, %arg73, %arg93, %arg167, %false, %float1.000000e-05, %57) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%59 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%60 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%61 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%62 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%63 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%64 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%65:3 = torch.operator "aten.convolution_backward"(%58#0, %arg30, %arg171, %59, %60, %61, %62, %false, %63, %int1, %64) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%66 = torch.aten.threshold_backward %65#0, %arg411, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%67 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%68:3 = torch.operator "aten.native_batch_norm_backward"(%66, %arg90, %arg254, %arg139, %arg412, %arg240, %arg34, %false, %float1.000000e-05, %67) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%69 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%70 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%71 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%72 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%73 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%74 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%75:3 = torch.operator "aten.convolution_backward"(%68#0, %arg363, %arg114, %69, %70, %71, %72, %false, %73, %int1, %74) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%76 = torch.aten.add.Tensor %46, %75#0, %int1 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%77 = torch.aten.threshold_backward %76, %arg94, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%78 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%79:3 = torch.operator "aten.native_batch_norm_backward"(%77, %arg434, %arg349, %arg62, %arg457, %arg436, %arg52, %false, %float1.000000e-05, %78) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%80 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%81 = torch.prim.ListConstruct %int2, %int2 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%82 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%83 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%84 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%85 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%86:3 = torch.operator "aten.convolution_backward"(%79#0, %arg302, %arg330, %80, %81, %82, %83, %false, %84, %int1, %85) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%87 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%88:3 = torch.operator "aten.native_batch_norm_backward"(%77, %arg161, %arg446, %arg119, %arg368, %arg14, %arg225, %false, %float1.000000e-05, %87) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%89 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%90 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%91 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%92 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%93 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%94 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%95:3 = torch.operator "aten.convolution_backward"(%88#0, %arg129, %arg4, %89, %90, %91, %92, %false, %93, %int1, %94) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%96 = torch.aten.threshold_backward %95#0, %arg148, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%97 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%98:3 = torch.operator "aten.native_batch_norm_backward"(%96, %arg293, %arg281, %arg81, %arg210, %arg131, %arg373, %false, %float1.000000e-05, %97) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%99 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%100 = torch.prim.ListConstruct %int2, %int2 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%101 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%102 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%103 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%104 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%105:3 = torch.operator "aten.convolution_backward"(%98#0, %arg173, %arg83, %99, %100, %101, %102, %false, %103, %int1, %104) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%106 = torch.aten.threshold_backward %105#0, %arg76, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%107 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%108:3 = torch.operator "aten.native_batch_norm_backward"(%106, %arg311, %arg215, %arg342, %arg400, %arg340, %arg249, %false, %float1.000000e-05, %107) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%109 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%110 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%111 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%112 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%113 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%114 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%115:3 = torch.operator "aten.convolution_backward"(%108#0, %arg302, %arg364, %109, %110, %111, %112, %false, %113, %int1, %114) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%116 = torch.aten.add.Tensor %86#0, %115#0, %int1 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%117 = torch.aten.threshold_backward %116, %arg177, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%118 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%119:3 = torch.operator "aten.native_batch_norm_backward"(%117, %arg284, %arg212, %arg353, %arg170, %arg97, %arg143, %false, %float1.000000e-05, %118) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%120 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%121 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%122 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%123 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%124 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%125 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%126:3 = torch.operator "aten.convolution_backward"(%119#0, %arg261, %arg410, %120, %121, %122, %123, %false, %124, %int1, %125) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%127 = torch.aten.threshold_backward %126#0, %arg70, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%128 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%129:3 = torch.operator "aten.native_batch_norm_backward"(%127, %arg262, %arg75, %arg229, %arg2, %arg78, %arg51, %false, %float1.000000e-05, %128) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%130 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%131 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%132 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%133 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%134 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%135 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%136:3 = torch.operator "aten.convolution_backward"(%129#0, %arg347, %arg213, %130, %131, %132, %133, %false, %134, %int1, %135) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%137 = torch.aten.threshold_backward %136#0, %arg219, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%138 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%139:3 = torch.operator "aten.native_batch_norm_backward"(%137, %arg123, %arg265, %arg118, %arg321, %arg273, %arg12, %false, %float1.000000e-05, %138) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%140 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%141 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%142 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%143 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%144 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%145 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%146:3 = torch.operator "aten.convolution_backward"(%139#0, %arg380, %arg103, %140, %141, %142, %143, %false, %144, %int1, %145) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%147 = torch.aten.add.Tensor %117, %146#0, %int1 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%148 = torch.aten.threshold_backward %147, %arg357, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%149 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%150:3 = torch.operator "aten.native_batch_norm_backward"(%148, %arg406, %arg49, %arg217, %arg121, %arg33, %arg305, %false, %float1.000000e-05, %149) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%151 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%152 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%153 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%154 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%155 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%156 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%157:3 = torch.operator "aten.convolution_backward"(%150#0, %arg469, %arg95, %151, %152, %153, %154, %false, %155, %int1, %156) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%158 = torch.aten.threshold_backward %157#0, %arg253, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%159 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%160:3 = torch.operator "aten.native_batch_norm_backward"(%158, %arg99, %arg272, %arg142, %arg388, %arg289, %arg255, %false, %float1.000000e-05, %159) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%161 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%162 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%163 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%164 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%165 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%166 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%167:3 = torch.operator "aten.convolution_backward"(%160#0, %arg251, %arg192, %161, %162, %163, %164, %false, %165, %int1, %166) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%168 = torch.aten.threshold_backward %167#0, %arg21, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%169 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%170:3 = torch.operator "aten.native_batch_norm_backward"(%168, %arg53, %arg43, %arg209, %arg351, %arg18, %arg448, %false, %float1.000000e-05, %169) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%171 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%172 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%173 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%174 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%175 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%176 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%177:3 = torch.operator "aten.convolution_backward"(%170#0, %arg136, %arg295, %171, %172, %173, %174, %false, %175, %int1, %176) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%178 = torch.aten.add.Tensor %148, %177#0, %int1 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%179 = torch.aten.threshold_backward %178, %arg313, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%180 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%181:3 = torch.operator "aten.native_batch_norm_backward"(%179, %arg275, %arg394, %arg35, %arg9, %arg312, %arg320, %false, %float1.000000e-05, %180) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%182 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%183 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%184 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%185 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%186 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%187 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%188:3 = torch.operator "aten.convolution_backward"(%181#0, %arg464, %arg31, %182, %183, %184, %185, %false, %186, %int1, %187) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%189 = torch.aten.threshold_backward %188#0, %arg5, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%190 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%191:3 = torch.operator "aten.native_batch_norm_backward"(%189, %arg432, %arg205, %arg180, %arg7, %arg13, %arg85, %false, %float1.000000e-05, %190) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%192 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%193 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%194 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%195 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%196 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%197 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%198:3 = torch.operator "aten.convolution_backward"(%191#0, %arg127, %arg16, %192, %193, %194, %195, %false, %196, %int1, %197) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%199 = torch.aten.threshold_backward %198#0, %arg110, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%200 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%201:3 = torch.operator "aten.native_batch_norm_backward"(%199, %arg130, %arg339, %arg48, %arg117, %arg459, %arg191, %false, %float1.000000e-05, %200) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%202 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%203 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%204 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%205 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%206 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%207 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%208:3 = torch.operator "aten.convolution_backward"(%201#0, %arg150, %arg276, %202, %203, %204, %205, %false, %206, %int1, %207) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%209 = torch.aten.add.Tensor %179, %208#0, %int1 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%210 = torch.aten.threshold_backward %209, %arg389, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%211 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%212:3 = torch.operator "aten.native_batch_norm_backward"(%210, %arg126, %arg399, %arg396, %arg233, %arg301, %arg166, %false, %float1.000000e-05, %211) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%213 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%214 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%215 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%216 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%217 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%218 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%219:3 = torch.operator "aten.convolution_backward"(%212#0, %arg243, %arg154, %213, %214, %215, %216, %false, %217, %int1, %218) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%220 = torch.aten.threshold_backward %219#0, %arg440, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%221 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%222:3 = torch.operator "aten.native_batch_norm_backward"(%220, %arg198, %arg176, %arg431, %arg291, %arg69, %arg147, %false, %float1.000000e-05, %221) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%223 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%224 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%225 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%226 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%227 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%228 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%229:3 = torch.operator "aten.convolution_backward"(%222#0, %arg277, %arg270, %223, %224, %225, %226, %false, %227, %int1, %228) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%230 = torch.aten.threshold_backward %229#0, %arg318, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%231 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%232:3 = torch.operator "aten.native_batch_norm_backward"(%230, %arg224, %arg316, %arg101, %arg232, %arg405, %arg133, %false, %float1.000000e-05, %231) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%233 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%234 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%235 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%236 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%237 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%238 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%239:3 = torch.operator "aten.convolution_backward"(%232#0, %arg317, %arg326, %233, %234, %235, %236, %false, %237, %int1, %238) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%240 = torch.aten.add.Tensor %210, %239#0, %int1 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%241 = torch.aten.threshold_backward %240, %arg366, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%242 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%243:3 = torch.operator "aten.native_batch_norm_backward"(%241, %arg287, %arg64, %arg386, %arg377, %arg403, %arg372, %false, %float1.000000e-05, %242) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%244 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%245 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%246 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%247 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%248 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%249 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%250:3 = torch.operator "aten.convolution_backward"(%243#0, %arg428, %arg393, %244, %245, %246, %247, %false, %248, %int1, %249) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%251 = torch.aten.threshold_backward %250#0, %arg268, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%252 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%253:3 = torch.operator "aten.native_batch_norm_backward"(%251, %arg463, %arg79, %arg155, %arg200, %arg304, %arg333, %false, %float1.000000e-05, %252) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%254 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%255 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%256 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%257 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%258 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%259 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%260:3 = torch.operator "aten.convolution_backward"(%253#0, %arg257, %arg433, %254, %255, %256, %257, %false, %258, %int1, %259) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%261 = torch.aten.threshold_backward %260#0, %arg199, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%262 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%263:3 = torch.operator "aten.native_batch_norm_backward"(%261, %arg84, %arg122, %arg144, %arg128, %arg175, %arg423, %false, %float1.000000e-05, %262) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%264 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%265 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%266 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%267 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%268 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%269 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%270:3 = torch.operator "aten.convolution_backward"(%263#0, %arg168, %arg107, %264, %265, %266, %267, %false, %268, %int1, %269) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%271 = torch.aten.add.Tensor %241, %270#0, %int1 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%272 = torch.aten.threshold_backward %271, %arg137, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%273 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%274:3 = torch.operator "aten.native_batch_norm_backward"(%272, %arg182, %arg41, %arg96, %arg36, %arg184, %arg42, %false, %float1.000000e-05, %273) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%275 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%276 = torch.prim.ListConstruct %int2, %int2 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%277 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%278 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%279 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%280 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%281:3 = torch.operator "aten.convolution_backward"(%274#0, %arg390, %arg46, %275, %276, %277, %278, %false, %279, %int1, %280) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%282 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%283:3 = torch.operator "aten.native_batch_norm_backward"(%272, %arg285, %arg335, %arg190, %arg421, %arg104, %arg165, %false, %float1.000000e-05, %282) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%284 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%285 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%286 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%287 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%288 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%289 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%290:3 = torch.operator "aten.convolution_backward"(%283#0, %arg425, %arg37, %284, %285, %286, %287, %false, %288, %int1, %289) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%291 = torch.aten.threshold_backward %290#0, %arg204, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%292 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%293:3 = torch.operator "aten.native_batch_norm_backward"(%291, %arg220, %arg178, %arg125, %arg92, %arg237, %arg26, %false, %float1.000000e-05, %292) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%294 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%295 = torch.prim.ListConstruct %int2, %int2 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%296 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%297 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%298 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%299 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%300:3 = torch.operator "aten.convolution_backward"(%293#0, %arg246, %arg245, %294, %295, %296, %297, %false, %298, %int1, %299) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%301 = torch.aten.threshold_backward %300#0, %arg392, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%302 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%303:3 = torch.operator "aten.native_batch_norm_backward"(%301, %arg397, %arg415, %arg310, %arg379, %arg185, %arg188, %false, %float1.000000e-05, %302) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%304 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%305 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%306 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%307 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%308 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%309 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%310:3 = torch.operator "aten.convolution_backward"(%303#0, %arg390, %arg283, %304, %305, %306, %307, %false, %308, %int1, %309) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%311 = torch.aten.add.Tensor %281#0, %310#0, %int1 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%312 = torch.aten.threshold_backward %311, %arg398, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%313 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%314:3 = torch.operator "aten.native_batch_norm_backward"(%312, %arg468, %arg109, %arg402, %arg207, %arg374, %arg1, %false, %float1.000000e-05, %313) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%315 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%316 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%317 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%318 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%319 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%320 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%321:3 = torch.operator "aten.convolution_backward"(%314#0, %arg435, %arg449, %315, %316, %317, %318, %false, %319, %int1, %320) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%322 = torch.aten.threshold_backward %321#0, %arg89, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%323 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%324:3 = torch.operator "aten.native_batch_norm_backward"(%322, %arg407, %arg294, %arg350, %arg102, %arg404, %arg369, %false, %float1.000000e-05, %323) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%325 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%326 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%327 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%328 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%329 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%330 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%331:3 = torch.operator "aten.convolution_backward"(%324#0, %arg454, %arg238, %325, %326, %327, %328, %false, %329, %int1, %330) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%332 = torch.aten.threshold_backward %331#0, %arg11, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%333 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%334:3 = torch.operator "aten.native_batch_norm_backward"(%332, %arg10, %arg203, %arg3, %arg422, %arg324, %arg146, %false, %float1.000000e-05, %333) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%335 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%336 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%337 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%338 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%339 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%340 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%341:3 = torch.operator "aten.convolution_backward"(%334#0, %arg319, %arg149, %335, %336, %337, %338, %false, %339, %int1, %340) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%342 = torch.aten.add.Tensor %312, %341#0, %int1 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%343 = torch.aten.threshold_backward %342, %arg23, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%344 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%345:3 = torch.operator "aten.native_batch_norm_backward"(%343, %arg120, %arg250, %arg264, %arg420, %arg362, %arg352, %false, %float1.000000e-05, %344) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%346 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%347 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%348 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%349 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%350 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%351 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%352:3 = torch.operator "aten.convolution_backward"(%345#0, %arg332, %arg162, %346, %347, %348, %349, %false, %350, %int1, %351) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%353 = torch.aten.threshold_backward %352#0, %arg55, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%354 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%355:3 = torch.operator "aten.native_batch_norm_backward"(%353, %arg27, %arg63, %arg267, %arg378, %arg247, %arg447, %false, %float1.000000e-05, %354) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%356 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%357 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%358 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%359 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%360 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%361 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%362:3 = torch.operator "aten.convolution_backward"(%355#0, %arg445, %arg58, %356, %357, %358, %359, %false, %360, %int1, %361) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%363 = torch.aten.threshold_backward %362#0, %arg54, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%364 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%365:3 = torch.operator "aten.native_batch_norm_backward"(%363, %arg189, %arg325, %arg354, %arg266, %arg462, %arg187, %false, %float1.000000e-05, %364) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%366 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%367 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%368 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%369 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%370 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%371 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%372:3 = torch.operator "aten.convolution_backward"(%365#0, %arg292, %arg299, %366, %367, %368, %369, %false, %370, %int1, %371) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%373 = torch.aten.add.Tensor %343, %372#0, %int1 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%374 = torch.aten.threshold_backward %373, %arg181, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%375 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%376:3 = torch.operator "aten.native_batch_norm_backward"(%374, %arg382, %arg140, %arg343, %arg239, %arg222, %arg348, %false, %float1.000000e-05, %375) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%377 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%378 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%379 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%380 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%381 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%382 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%383:3 = torch.operator "aten.convolution_backward"(%376#0, %arg472, %arg50, %377, %378, %379, %380, %false, %381, %int1, %382) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%384 = torch.aten.threshold_backward %383#0, %arg473, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%385 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%386:3 = torch.operator "aten.native_batch_norm_backward"(%384, %arg208, %arg456, %arg408, %arg453, %arg112, %arg159, %false, %float1.000000e-05, %385) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%387 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%388 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%389 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%390 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%391 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%392 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%393:3 = torch.operator "aten.convolution_backward"(%386#0, %arg242, %arg183, %387, %388, %389, %390, %false, %391, %int1, %392) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%394 = torch.aten.threshold_backward %393#0, %arg381, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%395 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%396:3 = torch.operator "aten.native_batch_norm_backward"(%394, %arg331, %arg452, %arg82, %arg87, %arg113, %arg91, %false, %float1.000000e-05, %395) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%397 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%398 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%399 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%400 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%401 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%402 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%403:3 = torch.operator "aten.convolution_backward"(%396#0, %arg450, %arg15, %397, %398, %399, %400, %false, %401, %int1, %402) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%404 = torch.aten.add.Tensor %374, %403#0, %int1 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%405 = torch.aten.threshold_backward %404, %arg214, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%406 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%407:3 = torch.operator "aten.native_batch_norm_backward"(%405, %arg234, %arg134, %arg438, %arg153, %arg376, %arg179, %false, %float1.000000e-05, %406) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%408 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%409 = torch.prim.ListConstruct %int2, %int2 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%410 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%411 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%412 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%413 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%414:3 = torch.operator "aten.convolution_backward"(%407#0, %arg430, %arg260, %408, %409, %410, %411, %false, %412, %int1, %413) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%415 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%416:3 = torch.operator "aten.native_batch_norm_backward"(%405, %arg327, %arg235, %arg297, %arg39, %arg157, %arg218, %false, %float1.000000e-05, %415) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%417 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%418 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%419 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%420 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%421 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%422 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%423:3 = torch.operator "aten.convolution_backward"(%416#0, %arg439, %arg56, %417, %418, %419, %420, %false, %421, %int1, %422) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%424 = torch.aten.threshold_backward %423#0, %arg80, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%425 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%426:3 = torch.operator "aten.native_batch_norm_backward"(%424, %arg8, %arg25, %arg451, %arg223, %arg336, %arg290, %false, %float1.000000e-05, %425) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%427 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%428 = torch.prim.ListConstruct %int2, %int2 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%429 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%430 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%431 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%432 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%433:3 = torch.operator "aten.convolution_backward"(%426#0, %arg417, %arg307, %427, %428, %429, %430, %false, %431, %int1, %432) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%434 = torch.aten.threshold_backward %433#0, %arg40, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%435 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%436:3 = torch.operator "aten.native_batch_norm_backward"(%434, %arg413, %arg269, %arg461, %arg252, %arg230, %arg314, %false, %float1.000000e-05, %435) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%437 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%438 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%439 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%440 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%441 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%442 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%443:3 = torch.operator "aten.convolution_backward"(%436#0, %arg430, %arg258, %437, %438, %439, %440, %false, %441, %int1, %442) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%444 = torch.aten.add.Tensor %414#0, %443#0, %int1 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%445 = torch.aten.threshold_backward %444, %arg329, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%446 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%447:3 = torch.operator "aten.native_batch_norm_backward"(%445, %arg303, %arg19, %arg385, %arg22, %arg160, %arg67, %false, %float1.000000e-05, %446) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%448 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%449 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%450 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%451 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%452 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%453 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%454:3 = torch.operator "aten.convolution_backward"(%447#0, %arg158, %arg259, %448, %449, %450, %451, %false, %452, %int1, %453) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%455 = torch.aten.threshold_backward %454#0, %arg298, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%456 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%457:3 = torch.operator "aten.native_batch_norm_backward"(%455, %arg174, %arg231, %arg197, %arg375, %arg471, %arg455, %false, %float1.000000e-05, %456) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%458 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%459 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%460 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%461 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%462 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%463 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%464:3 = torch.operator "aten.convolution_backward"(%457#0, %arg443, %arg17, %458, %459, %460, %461, %false, %462, %int1, %463) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%465 = torch.aten.threshold_backward %464#0, %arg401, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%466 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%467:3 = torch.operator "aten.native_batch_norm_backward"(%465, %arg132, %arg419, %arg322, %arg308, %arg59, %arg441, %false, %float1.000000e-05, %466) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%468 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%469 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%470 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%471 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%472 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%473 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%474:3 = torch.operator "aten.convolution_backward"(%467#0, %arg221, %arg138, %468, %469, %470, %471, %false, %472, %int1, %473) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%475 = torch.aten.add.Tensor %445, %474#0, %int1 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%476 = torch.aten.threshold_backward %475, %arg115, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%477 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%478:3 = torch.operator "aten.native_batch_norm_backward"(%476, %arg116, %arg47, %arg356, %arg360, %arg286, %arg201, %false, %float1.000000e-05, %477) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%479 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%480 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%481 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%482 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%483 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%484 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%485:3 = torch.operator "aten.convolution_backward"(%478#0, %arg409, %arg196, %479, %480, %481, %482, %false, %483, %int1, %484) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%486 = torch.aten.threshold_backward %485#0, %arg71, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%487 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%488:3 = torch.operator "aten.native_batch_norm_backward"(%486, %arg216, %arg77, %arg384, %arg244, %arg338, %arg466, %false, %float1.000000e-05, %487) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%489 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%490 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%491 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%492 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%493 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%494 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%495:3 = torch.operator "aten.convolution_backward"(%488#0, %arg346, %arg263, %489, %490, %491, %492, %false, %493, %int1, %494) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%496 = torch.aten.threshold_backward %495#0, %arg6, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%497 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%498:3 = torch.operator "aten.native_batch_norm_backward"(%496, %arg414, %arg437, %arg458, %arg341, %arg387, %arg288, %false, %float1.000000e-05, %497) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%499 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%500 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%501 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%502 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%503 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%504 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%505:3 = torch.operator "aten.convolution_backward"(%498#0, %arg108, %arg236, %499, %500, %501, %502, %false, %503, %int1, %504) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%506 = torch.aten.add.Tensor %476, %505#0, %int1 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%507 = torch.aten.threshold_backward %506, %arg211, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%508 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%509:3 = torch.operator "aten.native_batch_norm_backward"(%507, %arg164, %arg68, %arg344, %arg416, %arg156, %arg358, %false, %float1.000000e-05, %508) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%510 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%511 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%512 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%513 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%514 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%515 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%516:3 = torch.operator "aten.convolution_backward"(%509#0, %arg391, %arg467, %510, %511, %512, %513, %false, %514, %int1, %515) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%517 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%518:3 = torch.operator "aten.native_batch_norm_backward"(%507, %arg135, %arg395, %arg424, %arg460, %arg202, %arg186, %false, %float1.000000e-05, %517) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%519 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%520 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%521 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%522 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%523 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%524 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%525:3 = torch.operator "aten.convolution_backward"(%518#0, %arg241, %arg315, %519, %520, %521, %522, %false, %523, %int1, %524) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%526 = torch.aten.threshold_backward %525#0, %arg300, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%527 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%528:3 = torch.operator "aten.native_batch_norm_backward"(%526, %arg345, %arg206, %arg465, %arg20, %arg271, %arg88, %false, %float1.000000e-05, %527) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%529 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%530 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%531 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%532 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%533 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%534 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%535:3 = torch.operator "aten.convolution_backward"(%528#0, %arg256, %arg365, %529, %530, %531, %532, %false, %533, %int1, %534) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%536 = torch.aten.threshold_backward %535#0, %arg60, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%537 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%538:3 = torch.operator "aten.native_batch_norm_backward"(%536, %arg106, %arg226, %arg44, %arg371, %arg323, %arg367, %false, %float1.000000e-05, %537) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%539 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%540 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%541 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%542 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%543 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%544 = torch.prim.ListConstruct %true, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%545:3 = torch.operator "aten.convolution_backward"(%538#0, %arg391, %arg278, %539, %540, %541, %542, %false, %543, %int1, %544) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%546 = torch.aten.add.Tensor %516#0, %545#0, %int1 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%547 = torch.prim.ListConstruct %int3, %int3 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%548 = torch.prim.ListConstruct %int2, %int2 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%549 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%550 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%551 = torch.operator "aten.max_pool2d_with_indices_backward"(%546, %arg309, %547, %548, %549, %550, %false, %arg442) : (!torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.tensor) -> !torch.tensor
%552 = torch.aten.threshold_backward %551, %arg172, %int0 : !torch.tensor, !torch.tensor, !torch.int -> !torch.tensor
%553 = torch.prim.ListConstruct %true, %true, %true : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%554:3 = torch.operator "aten.native_batch_norm_backward"(%552, %arg306, %arg105, %arg248, %arg195, %arg45, %arg337, %false, %float1.000000e-05, %553) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.bool, !torch.float, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%555 = torch.prim.ListConstruct %int0 : (!torch.int) -> !torch.list<!torch.int>
%556 = torch.prim.ListConstruct %int2, %int2 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%557 = torch.prim.ListConstruct %int3, %int3 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%558 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%559 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<!torch.int>
%560 = torch.prim.ListConstruct %false, %true, %false : (!torch.bool, !torch.bool, !torch.bool) -> !torch.list<!torch.bool>
%561:3 = torch.operator "aten.convolution_backward"(%554#0, %arg193, %arg32, %555, %556, %557, %558, %false, %559, %int1, %560) : (!torch.tensor, !torch.tensor, !torch.tensor, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.list<!torch.int>, !torch.bool, !torch.list<!torch.int>, !torch.int, !torch.list<!torch.bool>) -> (!torch.tensor, !torch.tensor, !torch.tensor)
%562 = torch.prim.TupleConstruct %554#2, %554#1, %561#1, %8, %9, %538#2, %538#1, %528#2, %528#1, %518#2, %518#1, %545#1, %535#1, %525#1, %516#1, %509#2, %509#1, %498#2, %498#1, %488#2, %488#1, %478#2, %478#1, %505#1, %495#1, %485#1, %467#2, %467#1, %457#2, %457#1, %447#2, %447#1, %474#1, %464#1, %454#1, %436#2, %436#1, %426#2, %426#1, %416#2, %416#1, %443#1, %433#1, %423#1, %414#1, %407#2, %407#1, %396#2, %396#1, %386#2, %386#1, %376#2, %376#1, %403#1, %393#1, %383#1, %365#2, %365#1, %355#2, %355#1, %345#2, %345#1, %372#1, %362#1, %352#1, %334#2, %334#1, %324#2, %324#1, %314#2, %314#1, %341#1, %331#1, %321#1, %303#2, %303#1, %293#2, %293#1, %283#2, %283#1, %310#1, %300#1, %290#1, %281#1, %274#2, %274#1, %263#2, %263#1, %253#2, %253#1, %243#2, %243#1, %270#1, %260#1, %250#1, %232#2, %232#1, %222#2, %222#1, %212#2, %212#1, %239#1, %229#1, %219#1, %201#2, %201#1, %191#2, %191#1, %181#2, %181#1, %208#1, %198#1, %188#1, %170#2, %170#1, %160#2, %160#1, %150#2, %150#1, %177#1, %167#1, %157#1, %139#2, %139#1, %129#2, %129#1, %119#2, %119#1, %146#1, %136#1, %126#1, %108#2, %108#1, %98#2, %98#1, %88#2, %88#1, %115#1, %105#1, %95#1, %86#1, %79#2, %79#1, %68#2, %68#1, %58#2, %58#1, %48#2, %48#1, %75#1, %65#1, %55#1, %37#2, %37#1, %27#2, %27#1, %17#2, %17#1, %44#1, %34#1, %24#1, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none, %none : !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none -> !torch.tuple<!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none>
return %562 : !torch.tuple<!torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.tensor, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none, !torch.none>
}
torch.class_type @__torch__.torch.fx.graph_module.___torch_mangle_2.GraphModule {
torch.method "forward", @__torch__.torch.fx.graph_module.___torch_mangle_2.GraphModule.forward
}
%0 = torch.nn_module {
} : !torch.nn.Module<"__torch__.torch.fx.graph_module.___torch_mangle_2.GraphModule">
}
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