vae_torch.mlir

#loc0 = loc(unknown)
module attributes {torch.debug_module_name = "_lambda"} {
  func.func @forward(%arg0: !torch.vtensor<[1,4,64,64],f32> loc(unknown)) -> !torch.vtensor<[1,3,512,512],f32> {
    %int1048576 = torch.constant.int 1048576 loc(#loc1)
    %int262144 = torch.constant.int 262144 loc(#loc2)
    %int4 = torch.constant.int 4 loc(#loc3)
    %int2097152 = torch.constant.int 2097152 loc(#loc4)
    %int8 = torch.constant.int 8 loc(#loc5)
    %int524288 = torch.constant.int 524288 loc(#loc6)
    %int65536 = torch.constant.int 65536 loc(#loc7)
    %int16 = torch.constant.int 16 loc(#loc8)
    %int16384 = torch.constant.int 16384 loc(#loc9)
    %int4096 = torch.constant.int 4096 loc(#loc10)
    %int6 = torch.constant.int 6 loc(#loc11)
    %int7 = torch.constant.int 7 loc(#loc11)
    %0 = torch.vtensor.literal(dense<[0.00514700357, -0.0276389793, -0.0438199453]> : tensor<3xf32>) : !torch.vtensor<[3],f32> loc(#loc0)
    %1 = torch.vtensor.literal(dense_resource<__elided__> : tensor<3x128x3x3xf32>) : !torch.vtensor<[3,128,3,3],f32> loc(#loc0)
    %2 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %3 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %4 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %5 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x128x3x3xf32>) : !torch.vtensor<[128,128,3,3],f32> loc(#loc0)
    %6 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %7 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %8 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %9 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x128x3x3xf32>) : !torch.vtensor<[128,128,3,3],f32> loc(#loc0)
    %10 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %11 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %12 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %13 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x128x3x3xf32>) : !torch.vtensor<[128,128,3,3],f32> loc(#loc0)
    %14 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %15 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %16 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %17 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x128x3x3xf32>) : !torch.vtensor<[128,128,3,3],f32> loc(#loc0)
    %18 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %19 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %20 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %21 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x256x1x1xf32>) : !torch.vtensor<[128,256,1,1],f32> loc(#loc0)
    %22 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %23 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x128x3x3xf32>) : !torch.vtensor<[128,128,3,3],f32> loc(#loc0)
    %24 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %25 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %26 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32> loc(#loc0)
    %27 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x256x3x3xf32>) : !torch.vtensor<[128,256,3,3],f32> loc(#loc0)
    %28 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %29 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %30 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %31 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x256x3x3xf32>) : !torch.vtensor<[256,256,3,3],f32> loc(#loc0)
    %32 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %33 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x256x3x3xf32>) : !torch.vtensor<[256,256,3,3],f32> loc(#loc0)
    %34 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %35 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %36 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %37 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x256x3x3xf32>) : !torch.vtensor<[256,256,3,3],f32> loc(#loc0)
    %38 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %39 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %40 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %41 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x256x3x3xf32>) : !torch.vtensor<[256,256,3,3],f32> loc(#loc0)
    %42 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %43 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %44 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %45 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x256x3x3xf32>) : !torch.vtensor<[256,256,3,3],f32> loc(#loc0)
    %46 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %47 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %48 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %49 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x512x1x1xf32>) : !torch.vtensor<[256,512,1,1],f32> loc(#loc0)
    %50 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %51 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x256x3x3xf32>) : !torch.vtensor<[256,256,3,3],f32> loc(#loc0)
    %52 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %53 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %54 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32> loc(#loc0)
    %55 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x512x3x3xf32>) : !torch.vtensor<[256,512,3,3],f32> loc(#loc0)
    %56 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %57 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %58 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %59 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %60 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %61 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %62 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %63 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %64 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %65 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %66 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %67 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %68 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %69 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %70 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %71 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %72 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %73 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %74 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %75 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %76 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %77 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %78 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %79 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %80 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %81 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %82 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %83 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %84 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %85 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %86 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %87 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %88 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %89 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %90 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %91 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %92 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %93 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %94 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %95 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %96 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %97 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %98 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %99 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %100 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %101 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %102 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %103 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %104 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %105 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %106 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %107 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %108 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %109 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %110 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %111 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %112 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %113 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %114 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %115 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %116 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %117 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %118 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %119 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512xf32>) : !torch.vtensor<[512,512],f32> loc(#loc0)
    %120 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %121 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512xf32>) : !torch.vtensor<[512,512],f32> loc(#loc0)
    %122 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %123 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512xf32>) : !torch.vtensor<[512,512],f32> loc(#loc0)
    %124 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %125 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512xf32>) : !torch.vtensor<[512,512],f32> loc(#loc0)
    %126 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %127 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %128 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %129 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %130 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %131 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %132 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %133 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x512x3x3xf32>) : !torch.vtensor<[512,512,3,3],f32> loc(#loc0)
    %134 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %135 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %136 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32> loc(#loc0)
    %137 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x4x3x3xf32>) : !torch.vtensor<[512,4,3,3],f32> loc(#loc0)
    %138 = torch.vtensor.literal(dense<[-0.0257531833, -0.101349898, -0.213674963, 0.187002152]> : tensor<4xf32>) : !torch.vtensor<[4],f32> loc(#loc0)
    %139 = torch.vtensor.literal(dense_resource<__elided__> : tensor<4x4x1x1xf32>) : !torch.vtensor<[4,4,1,1],f32> loc(#loc0)
    %int256 = torch.constant.int 256 loc(#loc12)
    %int128 = torch.constant.int 128 loc(#loc13)
    %float2.000000e00 = torch.constant.float 2.000000e+00 loc(#loc14)
    %float1.000000e00 = torch.constant.float 1.000000e+00 loc(#loc15)
    %float2.102240e-01 = torch.constant.float 0.21022410381342865 loc(#loc16)
    %int64 = torch.constant.int 64 loc(#loc17)
    %int512 = torch.constant.int 512 loc(#loc18)
    %float9.999990e-07 = torch.constant.float 9.9999999999999995E-7 loc(#loc19)
    %int3 = torch.constant.int 3 loc(#loc20)
    %int2 = torch.constant.int 2 loc(#loc21)
    %int32 = torch.constant.int 32 loc(#loc22)
    %int0 = torch.constant.int 0 loc(#loc23)
    %int1 = torch.constant.int 1 loc(#loc24)
    %false = torch.constant.bool false loc(#loc25)
    %true = torch.constant.bool true loc(#loc26)
    %none = torch.constant.none loc(#loc0)
    %int-1 = torch.constant.int -1 loc(#loc27)
    %int-2 = torch.constant.int -2 loc(#loc28)
    %140 = torch.prim.ListConstruct %int1, %int1 : (!torch.int, !torch.int) -> !torch.list<int> loc(#loc0)
    %141 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<int> loc(#loc0)
    %142 = torch.aten.convolution %arg0, %139, %138, %140, %141, %140, %false, %141, %int1 : !torch.vtensor<[1,4,64,64],f32>, !torch.vtensor<[4,4,1,1],f32>, !torch.vtensor<[4],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,4,64,64],f32> loc(#loc29)
    %143 = torch.aten.convolution %142, %137, %136, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,4,64,64],f32>, !torch.vtensor<[512,4,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc30)
    %144 = torch.prim.ListConstruct %int1, %int32, %int16, %int4096 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc31)
    %145 = torch.aten.view %143, %144 : !torch.vtensor<[1,512,64,64],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc32)
    %146 = torch.prim.ListConstruct %int2, %int3 : (!torch.int, !torch.int) -> !torch.list<int> loc(#loc0)
    %147 = torch.aten.to.dtype %145, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc11)
    %148 = torch.aten.sum.dim_IntList %147, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc11)
    %149 = torch.aten.div.Scalar %148, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc11)
    %150 = torch.aten.sub.Tensor %147, %149, %float1.000000e00 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc11)
    %151 = torch.aten.mul.Tensor %150, %150 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,16,4096],f64> -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc11)
    %152 = torch.aten.sum.dim_IntList %151, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc11)
    %153 = torch.aten.div.Scalar %152, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc11)
    %154 = torch.aten.to.dtype %153, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc11)
    %155 = torch.aten.sum.dim_IntList %145, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc33)
    %156 = torch.aten.div.Scalar %155, %int65536 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc33)
    %157 = torch.aten.add.Scalar %154, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc34)
    %158 = torch.aten.rsqrt %157 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc35)
    %159 = torch.aten.sub.Tensor %145, %156, %int1 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc36)
    %160 = torch.aten.mul.Tensor %159, %158 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc37)
    %161 = torch.prim.ListConstruct %int1, %int512, %int64, %int64 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc38)
    %162 = torch.aten.view %160, %161 : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc39)
    %163 = torch.aten.unsqueeze %135, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc40)
    %164 = torch.aten.unsqueeze %163, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc41)
    %165 = torch.aten.mul.Tensor %162, %164 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc42)
    %166 = torch.aten.unsqueeze %134, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc43)
    %167 = torch.aten.unsqueeze %166, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc44)
    %168 = torch.aten.add.Tensor %165, %167, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc45)
    %169 = torch.aten.sigmoid %168 : !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc46)
    %170 = torch.aten.mul.Tensor %169, %168 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc46)
    %171 = torch.aten.convolution %170, %133, %132, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc47)
    %172 = torch.aten.view %171, %144 : !torch.vtensor<[1,512,64,64],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc48)
    %173 = torch.aten.to.dtype %172, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc49)
    %174 = torch.aten.sum.dim_IntList %173, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc49)
    %175 = torch.aten.div.Scalar %174, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc49)
    %176 = torch.aten.sub.Tensor %173, %175, %float1.000000e00 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc49)
    %177 = torch.aten.mul.Tensor %176, %176 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,16,4096],f64> -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc49)
    %178 = torch.aten.sum.dim_IntList %177, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc49)
    %179 = torch.aten.div.Scalar %178, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc49)
    %180 = torch.aten.to.dtype %179, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc49)
    %181 = torch.aten.sum.dim_IntList %172, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc50)
    %182 = torch.aten.div.Scalar %181, %int65536 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc50)
    %183 = torch.aten.add.Scalar %180, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc51)
    %184 = torch.aten.rsqrt %183 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc52)
    %185 = torch.aten.sub.Tensor %172, %182, %int1 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc53)
    %186 = torch.aten.mul.Tensor %185, %184 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc54)
    %187 = torch.aten.view %186, %161 : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc55)
    %188 = torch.aten.unsqueeze %131, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc56)
    %189 = torch.aten.unsqueeze %188, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc57)
    %190 = torch.aten.mul.Tensor %187, %189 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc58)
    %191 = torch.aten.unsqueeze %130, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc59)
    %192 = torch.aten.unsqueeze %191, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc60)
    %193 = torch.aten.add.Tensor %190, %192, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc61)
    %194 = torch.aten.sigmoid %193 : !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc62)
    %195 = torch.aten.mul.Tensor %194, %193 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc62)
    %196 = torch.aten.convolution %195, %129, %128, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc63)
    %197 = torch.aten.add.Tensor %143, %196, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[1,512,64,64],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc64)
    %198 = torch.aten.div.Scalar %197, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc65)
    %199 = torch.aten.view %198, %144 : !torch.vtensor<[1,512,64,64],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc66)
    %200 = torch.aten.to.dtype %199, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc67)
    %201 = torch.aten.sum.dim_IntList %200, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc67)
    %202 = torch.aten.div.Scalar %201, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc67)
    %203 = torch.aten.sub.Tensor %200, %202, %float1.000000e00 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc67)
    %204 = torch.aten.mul.Tensor %203, %203 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,16,4096],f64> -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc67)
    %205 = torch.aten.sum.dim_IntList %204, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc67)
    %206 = torch.aten.div.Scalar %205, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc67)
    %207 = torch.aten.to.dtype %206, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc67)
    %208 = torch.aten.sum.dim_IntList %199, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc68)
    %209 = torch.aten.div.Scalar %208, %int65536 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc68)
    %210 = torch.aten.add.Scalar %207, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc69)
    %211 = torch.aten.rsqrt %210 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc70)
    %212 = torch.aten.sub.Tensor %199, %209, %int1 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc71)
    %213 = torch.aten.mul.Tensor %212, %211 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc72)
    %214 = torch.aten.view %213, %161 : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc73)
    %215 = torch.aten.unsqueeze %127, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc74)
    %216 = torch.aten.unsqueeze %215, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc75)
    %217 = torch.aten.mul.Tensor %214, %216 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc76)
    %218 = torch.aten.unsqueeze %126, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc77)
    %219 = torch.aten.unsqueeze %218, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc78)
    %220 = torch.aten.add.Tensor %217, %219, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc79)
    %221 = torch.prim.ListConstruct %int1, %int512, %int4096 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc80)
    %222 = torch.aten.view %220, %221 : !torch.vtensor<[1,512,64,64],f32>, !torch.list<int> -> !torch.vtensor<[1,512,4096],f32> loc(#loc81)
    %223 = torch.aten.transpose.int %222, %int1, %int2 : !torch.vtensor<[1,512,4096],f32>, !torch.int, !torch.int -> !torch.vtensor<[1,4096,512],f32> loc(#loc82)
    %224 = torch.aten.transpose.int %125, %int0, %int1 : !torch.vtensor<[512,512],f32>, !torch.int, !torch.int -> !torch.vtensor<[512,512],f32> loc(#loc83)
    %225 = torch.prim.ListConstruct %int1, %int4096, %int512 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc84)
    %226 = torch.aten.broadcast_to %223, %225 : !torch.vtensor<[1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,512],f32> loc(#loc85)
    %227 = torch.aten.view %226, %225 : !torch.vtensor<[1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,512],f32> loc(#loc86)
    %228 = torch.prim.ListConstruct %int1, %int512, %int512 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc87)
    %229 = torch.aten.broadcast_to %224, %228 : !torch.vtensor<[512,512],f32>, !torch.list<int> -> !torch.vtensor<[1,512,512],f32> loc(#loc88)
    %230 = torch.aten.view %229, %228 : !torch.vtensor<[1,512,512],f32>, !torch.list<int> -> !torch.vtensor<[1,512,512],f32> loc(#loc89)
    %231 = torch.aten.bmm %227, %230 : !torch.vtensor<[1,4096,512],f32>, !torch.vtensor<[1,512,512],f32> -> !torch.vtensor<[1,4096,512],f32> loc(#loc90)
    %232 = torch.aten.view %231, %225 : !torch.vtensor<[1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,512],f32> loc(#loc91)
    %233 = torch.aten.add.Tensor %232, %124, %int1 : !torch.vtensor<[1,4096,512],f32>, !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[1,4096,512],f32> loc(#loc92)
    %234 = torch.aten.transpose.int %123, %int0, %int1 : !torch.vtensor<[512,512],f32>, !torch.int, !torch.int -> !torch.vtensor<[512,512],f32> loc(#loc93)
    %235 = torch.aten.broadcast_to %223, %225 : !torch.vtensor<[1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,512],f32> loc(#loc94)
    %236 = torch.aten.view %235, %225 : !torch.vtensor<[1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,512],f32> loc(#loc95)
    %237 = torch.aten.broadcast_to %234, %228 : !torch.vtensor<[512,512],f32>, !torch.list<int> -> !torch.vtensor<[1,512,512],f32> loc(#loc96)
    %238 = torch.aten.view %237, %228 : !torch.vtensor<[1,512,512],f32>, !torch.list<int> -> !torch.vtensor<[1,512,512],f32> loc(#loc97)
    %239 = torch.aten.bmm %236, %238 : !torch.vtensor<[1,4096,512],f32>, !torch.vtensor<[1,512,512],f32> -> !torch.vtensor<[1,4096,512],f32> loc(#loc98)
    %240 = torch.aten.view %239, %225 : !torch.vtensor<[1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,512],f32> loc(#loc99)
    %241 = torch.aten.add.Tensor %240, %122, %int1 : !torch.vtensor<[1,4096,512],f32>, !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[1,4096,512],f32> loc(#loc100)
    %242 = torch.aten.transpose.int %121, %int0, %int1 : !torch.vtensor<[512,512],f32>, !torch.int, !torch.int -> !torch.vtensor<[512,512],f32> loc(#loc101)
    %243 = torch.aten.broadcast_to %223, %225 : !torch.vtensor<[1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,512],f32> loc(#loc102)
    %244 = torch.aten.view %243, %225 : !torch.vtensor<[1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,512],f32> loc(#loc103)
    %245 = torch.aten.broadcast_to %242, %228 : !torch.vtensor<[512,512],f32>, !torch.list<int> -> !torch.vtensor<[1,512,512],f32> loc(#loc104)
    %246 = torch.aten.view %245, %228 : !torch.vtensor<[1,512,512],f32>, !torch.list<int> -> !torch.vtensor<[1,512,512],f32> loc(#loc105)
    %247 = torch.aten.bmm %244, %246 : !torch.vtensor<[1,4096,512],f32>, !torch.vtensor<[1,512,512],f32> -> !torch.vtensor<[1,4096,512],f32> loc(#loc106)
    %248 = torch.aten.view %247, %225 : !torch.vtensor<[1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,512],f32> loc(#loc107)
    %249 = torch.aten.add.Tensor %248, %120, %int1 : !torch.vtensor<[1,4096,512],f32>, !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[1,4096,512],f32> loc(#loc108)
    %250 = torch.prim.ListConstruct %int1, %int4096, %int1, %int-1 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc0)
    %251 = torch.aten.view %233, %250 : !torch.vtensor<[1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,1,512],f32> loc(#loc109)
    %252 = torch.prim.ListConstruct %int0, %int2, %int1, %int3 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc0)
    %253 = torch.aten.permute %251, %252 : !torch.vtensor<[1,4096,1,512],f32>, !torch.list<int> -> !torch.vtensor<[1,1,4096,512],f32> loc(#loc110)
    %254 = torch.aten.view %241, %250 : !torch.vtensor<[1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,1,512],f32> loc(#loc111)
    %255 = torch.aten.permute %254, %252 : !torch.vtensor<[1,4096,1,512],f32>, !torch.list<int> -> !torch.vtensor<[1,1,4096,512],f32> loc(#loc112)
    %256 = torch.aten.view %249, %250 : !torch.vtensor<[1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,1,512],f32> loc(#loc113)
    %257 = torch.aten.permute %256, %252 : !torch.vtensor<[1,4096,1,512],f32>, !torch.list<int> -> !torch.vtensor<[1,1,4096,512],f32> loc(#loc114)
    %258 = torch.aten.mul.Scalar %253, %float2.102240e-01 : !torch.vtensor<[1,1,4096,512],f32>, !torch.float -> !torch.vtensor<[1,1,4096,512],f32> loc(#loc115)
    %259 = torch.aten.transpose.int %255, %int-1, %int-2 : !torch.vtensor<[1,1,4096,512],f32>, !torch.int, !torch.int -> !torch.vtensor<[1,1,512,4096],f32> loc(#loc116)
    %260 = torch.aten.mul.Scalar %259, %float2.102240e-01 : !torch.vtensor<[1,1,512,4096],f32>, !torch.float -> !torch.vtensor<[1,1,512,4096],f32> loc(#loc117)
    %261 = torch.prim.ListConstruct %int1, %int1, %int4096, %int512 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc118)
    %262 = torch.aten.broadcast_to %258, %261 : !torch.vtensor<[1,1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,1,4096,512],f32> loc(#loc119)
    %263 = torch.aten.view %262, %225 : !torch.vtensor<[1,1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,512],f32> loc(#loc120)
    %264 = torch.prim.ListConstruct %int1, %int1, %int512, %int4096 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc121)
    %265 = torch.aten.broadcast_to %260, %264 : !torch.vtensor<[1,1,512,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,1,512,4096],f32> loc(#loc122)
    %266 = torch.aten.view %265, %221 : !torch.vtensor<[1,1,512,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,512,4096],f32> loc(#loc123)
    %267 = torch.aten.bmm %263, %266 : !torch.vtensor<[1,4096,512],f32>, !torch.vtensor<[1,512,4096],f32> -> !torch.vtensor<[1,4096,4096],f32> loc(#loc124)
    %268 = torch.prim.ListConstruct %int1, %int1, %int4096, %int4096 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc125)
    %269 = torch.aten.view %267, %268 : !torch.vtensor<[1,4096,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,1,4096,4096],f32> loc(#loc126)
    %values, %indices = torch.aten.max.dim %269, %int-1, %true : !torch.vtensor<[1,1,4096,4096],f32>, !torch.int, !torch.bool -> !torch.vtensor<[1,1,4096,1],f32>, !torch.vtensor<[1,1,4096,1],si64> loc(#loc127)
    %270 = torch.aten.sub.Tensor %269, %values, %float1.000000e00 : !torch.vtensor<[1,1,4096,4096],f32>, !torch.vtensor<[1,1,4096,1],f32>, !torch.float -> !torch.vtensor<[1,1,4096,4096],f32> loc(#loc127)
    %271 = torch.aten.exp %270 : !torch.vtensor<[1,1,4096,4096],f32> -> !torch.vtensor<[1,1,4096,4096],f32> loc(#loc127)
    %272 = torch.prim.ListConstruct %int-1 : (!torch.int) -> !torch.list<int> loc(#loc127)
    %273 = torch.aten.sum.dim_IntList %271, %272, %true, %none : !torch.vtensor<[1,1,4096,4096],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,1,4096,1],f32> loc(#loc127)
    %274 = torch.aten.div.Tensor %271, %273 : !torch.vtensor<[1,1,4096,4096],f32>, !torch.vtensor<[1,1,4096,1],f32> -> !torch.vtensor<[1,1,4096,4096],f32> loc(#loc127)
    %275 = torch.aten.broadcast_to %274, %268 : !torch.vtensor<[1,1,4096,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,1,4096,4096],f32> loc(#loc128)
    %276 = torch.prim.ListConstruct %int1, %int4096, %int4096 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc129)
    %277 = torch.aten.view %275, %276 : !torch.vtensor<[1,1,4096,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,4096],f32> loc(#loc130)
    %278 = torch.aten.broadcast_to %257, %261 : !torch.vtensor<[1,1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,1,4096,512],f32> loc(#loc131)
    %279 = torch.aten.view %278, %225 : !torch.vtensor<[1,1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,512],f32> loc(#loc132)
    %280 = torch.aten.bmm %277, %279 : !torch.vtensor<[1,4096,4096],f32>, !torch.vtensor<[1,4096,512],f32> -> !torch.vtensor<[1,4096,512],f32> loc(#loc133)
    %281 = torch.aten.view %280, %261 : !torch.vtensor<[1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,1,4096,512],f32> loc(#loc134)
    %282 = torch.aten.permute %281, %252 : !torch.vtensor<[1,1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,1,512],f32> loc(#loc135)
    %283 = torch.aten.view %282, %225 : !torch.vtensor<[1,4096,1,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,512],f32> loc(#loc136)
    %284 = torch.aten.transpose.int %119, %int0, %int1 : !torch.vtensor<[512,512],f32>, !torch.int, !torch.int -> !torch.vtensor<[512,512],f32> loc(#loc137)
    %285 = torch.prim.ListConstruct %int4096, %int512 : (!torch.int, !torch.int) -> !torch.list<int> loc(#loc138)
    %286 = torch.aten.view %283, %285 : !torch.vtensor<[1,4096,512],f32>, !torch.list<int> -> !torch.vtensor<[4096,512],f32> loc(#loc139)
    %287 = torch.aten.mm %286, %284 : !torch.vtensor<[4096,512],f32>, !torch.vtensor<[512,512],f32> -> !torch.vtensor<[4096,512],f32> loc(#loc140)
    %288 = torch.aten.mul.Scalar %118, %int1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512],f32> loc(#loc140)
    %289 = torch.aten.add.Tensor %288, %287, %int1 : !torch.vtensor<[512],f32>, !torch.vtensor<[4096,512],f32>, !torch.int -> !torch.vtensor<[4096,512],f32> loc(#loc140)
    %290 = torch.aten.view %289, %225 : !torch.vtensor<[4096,512],f32>, !torch.list<int> -> !torch.vtensor<[1,4096,512],f32> loc(#loc141)
    %291 = torch.aten.transpose.int %290, %int-1, %int-2 : !torch.vtensor<[1,4096,512],f32>, !torch.int, !torch.int -> !torch.vtensor<[1,512,4096],f32> loc(#loc142)
    %292 = torch.aten.view %291, %161 : !torch.vtensor<[1,512,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc143)
    %293 = torch.aten.add.Tensor %292, %198, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[1,512,64,64],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc144)
    %294 = torch.aten.div.Scalar %293, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc145)
    %295 = torch.aten.clone %294, %int0 : !torch.vtensor<[1,512,64,64],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc146)
    %296 = torch.aten.view %295, %144 : !torch.vtensor<[1,512,64,64],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc147)
    %297 = torch.aten.to.dtype %296, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc148)
    %298 = torch.aten.sum.dim_IntList %297, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc148)
    %299 = torch.aten.div.Scalar %298, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc148)
    %300 = torch.aten.sub.Tensor %297, %299, %float1.000000e00 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc148)
    %301 = torch.aten.mul.Tensor %300, %300 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,16,4096],f64> -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc148)
    %302 = torch.aten.sum.dim_IntList %301, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc148)
    %303 = torch.aten.div.Scalar %302, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc148)
    %304 = torch.aten.to.dtype %303, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc148)
    %305 = torch.aten.sum.dim_IntList %296, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc149)
    %306 = torch.aten.div.Scalar %305, %int65536 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc149)
    %307 = torch.aten.add.Scalar %304, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc150)
    %308 = torch.aten.rsqrt %307 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc151)
    %309 = torch.aten.sub.Tensor %296, %306, %int1 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc152)
    %310 = torch.aten.mul.Tensor %309, %308 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc153)
    %311 = torch.aten.view %310, %161 : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc154)
    %312 = torch.aten.unsqueeze %117, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc155)
    %313 = torch.aten.unsqueeze %312, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc156)
    %314 = torch.aten.mul.Tensor %311, %313 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc157)
    %315 = torch.aten.unsqueeze %116, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc158)
    %316 = torch.aten.unsqueeze %315, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc159)
    %317 = torch.aten.add.Tensor %314, %316, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc160)
    %318 = torch.aten.sigmoid %317 : !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc161)
    %319 = torch.aten.mul.Tensor %318, %317 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc161)
    %320 = torch.aten.convolution %319, %115, %114, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc162)
    %321 = torch.aten.view %320, %144 : !torch.vtensor<[1,512,64,64],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc163)
    %322 = torch.aten.to.dtype %321, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc164)
    %323 = torch.aten.sum.dim_IntList %322, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc164)
    %324 = torch.aten.div.Scalar %323, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc164)
    %325 = torch.aten.sub.Tensor %322, %324, %float1.000000e00 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc164)
    %326 = torch.aten.mul.Tensor %325, %325 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,16,4096],f64> -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc164)
    %327 = torch.aten.sum.dim_IntList %326, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc164)
    %328 = torch.aten.div.Scalar %327, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc164)
    %329 = torch.aten.to.dtype %328, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc164)
    %330 = torch.aten.sum.dim_IntList %321, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc165)
    %331 = torch.aten.div.Scalar %330, %int65536 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc165)
    %332 = torch.aten.add.Scalar %329, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc166)
    %333 = torch.aten.rsqrt %332 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc167)
    %334 = torch.aten.sub.Tensor %321, %331, %int1 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc168)
    %335 = torch.aten.mul.Tensor %334, %333 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc169)
    %336 = torch.aten.view %335, %161 : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc170)
    %337 = torch.aten.unsqueeze %113, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc171)
    %338 = torch.aten.unsqueeze %337, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc172)
    %339 = torch.aten.mul.Tensor %336, %338 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc173)
    %340 = torch.aten.unsqueeze %112, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc174)
    %341 = torch.aten.unsqueeze %340, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc175)
    %342 = torch.aten.add.Tensor %339, %341, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc176)
    %343 = torch.aten.sigmoid %342 : !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc177)
    %344 = torch.aten.mul.Tensor %343, %342 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc177)
    %345 = torch.aten.convolution %344, %111, %110, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc178)
    %346 = torch.aten.add.Tensor %294, %345, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[1,512,64,64],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc179)
    %347 = torch.aten.div.Scalar %346, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc180)
    %348 = torch.aten.clone %347, %int0 : !torch.vtensor<[1,512,64,64],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc181)
    %349 = torch.aten.view %348, %144 : !torch.vtensor<[1,512,64,64],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc182)
    %350 = torch.aten.to.dtype %349, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc183)
    %351 = torch.aten.sum.dim_IntList %350, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc183)
    %352 = torch.aten.div.Scalar %351, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc183)
    %353 = torch.aten.sub.Tensor %350, %352, %float1.000000e00 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc183)
    %354 = torch.aten.mul.Tensor %353, %353 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,16,4096],f64> -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc183)
    %355 = torch.aten.sum.dim_IntList %354, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc183)
    %356 = torch.aten.div.Scalar %355, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc183)
    %357 = torch.aten.to.dtype %356, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc183)
    %358 = torch.aten.sum.dim_IntList %349, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc184)
    %359 = torch.aten.div.Scalar %358, %int65536 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc184)
    %360 = torch.aten.add.Scalar %357, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc185)
    %361 = torch.aten.rsqrt %360 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc186)
    %362 = torch.aten.sub.Tensor %349, %359, %int1 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc187)
    %363 = torch.aten.mul.Tensor %362, %361 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc188)
    %364 = torch.aten.view %363, %161 : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc189)
    %365 = torch.aten.unsqueeze %109, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc190)
    %366 = torch.aten.unsqueeze %365, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc191)
    %367 = torch.aten.mul.Tensor %364, %366 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc192)
    %368 = torch.aten.unsqueeze %108, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc193)
    %369 = torch.aten.unsqueeze %368, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc194)
    %370 = torch.aten.add.Tensor %367, %369, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc195)
    %371 = torch.aten.sigmoid %370 : !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc196)
    %372 = torch.aten.mul.Tensor %371, %370 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc196)
    %373 = torch.aten.convolution %372, %107, %106, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc197)
    %374 = torch.aten.view %373, %144 : !torch.vtensor<[1,512,64,64],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc198)
    %375 = torch.aten.to.dtype %374, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc199)
    %376 = torch.aten.sum.dim_IntList %375, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc199)
    %377 = torch.aten.div.Scalar %376, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc199)
    %378 = torch.aten.sub.Tensor %375, %377, %float1.000000e00 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc199)
    %379 = torch.aten.mul.Tensor %378, %378 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,16,4096],f64> -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc199)
    %380 = torch.aten.sum.dim_IntList %379, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc199)
    %381 = torch.aten.div.Scalar %380, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc199)
    %382 = torch.aten.to.dtype %381, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc199)
    %383 = torch.aten.sum.dim_IntList %374, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc200)
    %384 = torch.aten.div.Scalar %383, %int65536 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc200)
    %385 = torch.aten.add.Scalar %382, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc201)
    %386 = torch.aten.rsqrt %385 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc202)
    %387 = torch.aten.sub.Tensor %374, %384, %int1 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc203)
    %388 = torch.aten.mul.Tensor %387, %386 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc204)
    %389 = torch.aten.view %388, %161 : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc205)
    %390 = torch.aten.unsqueeze %105, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc206)
    %391 = torch.aten.unsqueeze %390, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc207)
    %392 = torch.aten.mul.Tensor %389, %391 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc208)
    %393 = torch.aten.unsqueeze %104, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc209)
    %394 = torch.aten.unsqueeze %393, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc210)
    %395 = torch.aten.add.Tensor %392, %394, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc211)
    %396 = torch.aten.sigmoid %395 : !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc212)
    %397 = torch.aten.mul.Tensor %396, %395 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc212)
    %398 = torch.aten.convolution %397, %103, %102, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc213)
    %399 = torch.aten.add.Tensor %347, %398, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[1,512,64,64],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc214)
    %400 = torch.aten.div.Scalar %399, %float1.000000e00 : !torch.vtensor<[1,512,64,64],f32>, !torch.float -> !torch.vtensor<[1,512,64,64],f32> loc(#loc215)
    %401 = torch.aten.clone %400, %int0 : !torch.vtensor<[1,512,64,64],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc216)
    %402 = torch.aten.view %401, %144 : !torch.vtensor<[1,512,64,64],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc217)
    %403 = torch.aten.to.dtype %402, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc218)
    %404 = torch.aten.sum.dim_IntList %403, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc218)
    %405 = torch.aten.div.Scalar %404, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc218)
    %406 = torch.aten.sub.Tensor %403, %405, %float1.000000e00 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc218)
    %407 = torch.aten.mul.Tensor %406, %406 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,16,4096],f64> -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc218)
    %408 = torch.aten.sum.dim_IntList %407, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc218)
    %409 = torch.aten.div.Scalar %408, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc218)
    %410 = torch.aten.to.dtype %409, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc218)
    %411 = torch.aten.sum.dim_IntList %402, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc219)
    %412 = torch.aten.div.Scalar %411, %int65536 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc219)
    %413 = torch.aten.add.Scalar %410, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc220)
    %414 = torch.aten.rsqrt %413 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc221)
    %415 = torch.aten.sub.Tensor %402, %412, %int1 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc222)
    %416 = torch.aten.mul.Tensor %415, %414 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc223)
    %417 = torch.aten.view %416, %161 : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc224)
    %418 = torch.aten.unsqueeze %101, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc225)
    %419 = torch.aten.unsqueeze %418, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc226)
    %420 = torch.aten.mul.Tensor %417, %419 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc227)
    %421 = torch.aten.unsqueeze %100, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc228)
    %422 = torch.aten.unsqueeze %421, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc229)
    %423 = torch.aten.add.Tensor %420, %422, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc230)
    %424 = torch.aten.sigmoid %423 : !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc231)
    %425 = torch.aten.mul.Tensor %424, %423 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc231)
    %426 = torch.aten.convolution %425, %99, %98, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc232)
    %427 = torch.aten.view %426, %144 : !torch.vtensor<[1,512,64,64],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc233)
    %428 = torch.aten.to.dtype %427, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc234)
    %429 = torch.aten.sum.dim_IntList %428, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc234)
    %430 = torch.aten.div.Scalar %429, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc234)
    %431 = torch.aten.sub.Tensor %428, %430, %float1.000000e00 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc234)
    %432 = torch.aten.mul.Tensor %431, %431 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,16,4096],f64> -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc234)
    %433 = torch.aten.sum.dim_IntList %432, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc234)
    %434 = torch.aten.div.Scalar %433, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc234)
    %435 = torch.aten.to.dtype %434, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc234)
    %436 = torch.aten.sum.dim_IntList %427, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc235)
    %437 = torch.aten.div.Scalar %436, %int65536 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc235)
    %438 = torch.aten.add.Scalar %435, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc236)
    %439 = torch.aten.rsqrt %438 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc237)
    %440 = torch.aten.sub.Tensor %427, %437, %int1 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc238)
    %441 = torch.aten.mul.Tensor %440, %439 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc239)
    %442 = torch.aten.view %441, %161 : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc240)
    %443 = torch.aten.unsqueeze %97, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc241)
    %444 = torch.aten.unsqueeze %443, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc242)
    %445 = torch.aten.mul.Tensor %442, %444 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc243)
    %446 = torch.aten.unsqueeze %96, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc244)
    %447 = torch.aten.unsqueeze %446, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc245)
    %448 = torch.aten.add.Tensor %445, %447, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc246)
    %449 = torch.aten.sigmoid %448 : !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc247)
    %450 = torch.aten.mul.Tensor %449, %448 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc247)
    %451 = torch.aten.convolution %450, %95, %94, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc248)
    %452 = torch.aten.add.Tensor %400, %451, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[1,512,64,64],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc249)
    %453 = torch.aten.div.Scalar %452, %float1.000000e00 : !torch.vtensor<[1,512,64,64],f32>, !torch.float -> !torch.vtensor<[1,512,64,64],f32> loc(#loc250)
    %454 = torch.aten.clone %453, %int0 : !torch.vtensor<[1,512,64,64],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc251)
    %455 = torch.aten.view %454, %144 : !torch.vtensor<[1,512,64,64],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc252)
    %456 = torch.aten.to.dtype %455, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc253)
    %457 = torch.aten.sum.dim_IntList %456, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc253)
    %458 = torch.aten.div.Scalar %457, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc253)
    %459 = torch.aten.sub.Tensor %456, %458, %float1.000000e00 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc253)
    %460 = torch.aten.mul.Tensor %459, %459 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,16,4096],f64> -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc253)
    %461 = torch.aten.sum.dim_IntList %460, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc253)
    %462 = torch.aten.div.Scalar %461, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc253)
    %463 = torch.aten.to.dtype %462, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc253)
    %464 = torch.aten.sum.dim_IntList %455, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc254)
    %465 = torch.aten.div.Scalar %464, %int65536 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc254)
    %466 = torch.aten.add.Scalar %463, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc255)
    %467 = torch.aten.rsqrt %466 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc256)
    %468 = torch.aten.sub.Tensor %455, %465, %int1 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc257)
    %469 = torch.aten.mul.Tensor %468, %467 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc258)
    %470 = torch.aten.view %469, %161 : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc259)
    %471 = torch.aten.unsqueeze %93, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc260)
    %472 = torch.aten.unsqueeze %471, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc261)
    %473 = torch.aten.mul.Tensor %470, %472 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc262)
    %474 = torch.aten.unsqueeze %92, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc263)
    %475 = torch.aten.unsqueeze %474, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc264)
    %476 = torch.aten.add.Tensor %473, %475, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc265)
    %477 = torch.aten.sigmoid %476 : !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc266)
    %478 = torch.aten.mul.Tensor %477, %476 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc266)
    %479 = torch.aten.convolution %478, %91, %90, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc267)
    %480 = torch.aten.view %479, %144 : !torch.vtensor<[1,512,64,64],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc268)
    %481 = torch.aten.to.dtype %480, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc269)
    %482 = torch.aten.sum.dim_IntList %481, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc269)
    %483 = torch.aten.div.Scalar %482, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc269)
    %484 = torch.aten.sub.Tensor %481, %483, %float1.000000e00 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc269)
    %485 = torch.aten.mul.Tensor %484, %484 : !torch.vtensor<[1,32,16,4096],f64>, !torch.vtensor<[1,32,16,4096],f64> -> !torch.vtensor<[1,32,16,4096],f64> loc(#loc269)
    %486 = torch.aten.sum.dim_IntList %485, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc269)
    %487 = torch.aten.div.Scalar %486, %int65536 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc269)
    %488 = torch.aten.to.dtype %487, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc269)
    %489 = torch.aten.sum.dim_IntList %480, %146, %true, %none : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc270)
    %490 = torch.aten.div.Scalar %489, %int65536 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc270)
    %491 = torch.aten.add.Scalar %488, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc271)
    %492 = torch.aten.rsqrt %491 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc272)
    %493 = torch.aten.sub.Tensor %480, %490, %int1 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc273)
    %494 = torch.aten.mul.Tensor %493, %492 : !torch.vtensor<[1,32,16,4096],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,4096],f32> loc(#loc274)
    %495 = torch.aten.view %494, %161 : !torch.vtensor<[1,32,16,4096],f32>, !torch.list<int> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc275)
    %496 = torch.aten.unsqueeze %89, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc276)
    %497 = torch.aten.unsqueeze %496, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc277)
    %498 = torch.aten.mul.Tensor %495, %497 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc278)
    %499 = torch.aten.unsqueeze %88, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc279)
    %500 = torch.aten.unsqueeze %499, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc280)
    %501 = torch.aten.add.Tensor %498, %500, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc281)
    %502 = torch.aten.sigmoid %501 : !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc282)
    %503 = torch.aten.mul.Tensor %502, %501 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[1,512,64,64],f32> -> !torch.vtensor<[1,512,64,64],f32> loc(#loc282)
    %504 = torch.aten.convolution %503, %87, %86, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc283)
    %505 = torch.aten.add.Tensor %453, %504, %int1 : !torch.vtensor<[1,512,64,64],f32>, !torch.vtensor<[1,512,64,64],f32>, !torch.int -> !torch.vtensor<[1,512,64,64],f32> loc(#loc284)
    %506 = torch.aten.div.Scalar %505, %float1.000000e00 : !torch.vtensor<[1,512,64,64],f32>, !torch.float -> !torch.vtensor<[1,512,64,64],f32> loc(#loc285)
    %507 = torch.prim.ListConstruct %float2.000000e00, %float2.000000e00 : (!torch.float, !torch.float) -> !torch.list<float> loc(#loc0)
    %508 = torch.aten.upsample_nearest2d.vec %506, %none, %507 : !torch.vtensor<[1,512,64,64],f32>, !torch.none, !torch.list<float> -> !torch.vtensor<[1,512,?,?],f32> loc(#loc286)
    %509 = torch.aten.convolution %508, %85, %84, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,?,?],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,?,?],f32> loc(#loc287)
    %510 = torch.prim.ListConstruct %int1, %int32, %int16, %int16384 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc288)
    %511 = torch.aten.view %509, %510 : !torch.vtensor<[1,512,?,?],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc289)
    %512 = torch.aten.to.dtype %511, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,16384],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc290)
    %513 = torch.aten.sum.dim_IntList %512, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc290)
    %514 = torch.aten.div.Scalar %513, %int262144 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc290)
    %515 = torch.aten.sub.Tensor %512, %514, %float1.000000e00 : !torch.vtensor<[1,32,16,16384],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc290)
    %516 = torch.aten.mul.Tensor %515, %515 : !torch.vtensor<[1,32,16,16384],f64>, !torch.vtensor<[1,32,16,16384],f64> -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc290)
    %517 = torch.aten.sum.dim_IntList %516, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc290)
    %518 = torch.aten.div.Scalar %517, %int262144 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc290)
    %519 = torch.aten.to.dtype %518, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc290)
    %520 = torch.aten.sum.dim_IntList %511, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc291)
    %521 = torch.aten.div.Scalar %520, %int262144 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc291)
    %522 = torch.aten.add.Scalar %519, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc292)
    %523 = torch.aten.rsqrt %522 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc293)
    %524 = torch.aten.sub.Tensor %511, %521, %int1 : !torch.vtensor<[1,32,16,16384],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc294)
    %525 = torch.aten.mul.Tensor %524, %523 : !torch.vtensor<[1,32,16,16384],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc295)
    %526 = torch.prim.ListConstruct %int1, %int512, %int128, %int128 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc296)
    %527 = torch.aten.view %525, %526 : !torch.vtensor<[1,32,16,16384],f32>, !torch.list<int> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc297)
    %528 = torch.aten.unsqueeze %83, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc298)
    %529 = torch.aten.unsqueeze %528, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc299)
    %530 = torch.aten.mul.Tensor %527, %529 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc300)
    %531 = torch.aten.unsqueeze %82, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc301)
    %532 = torch.aten.unsqueeze %531, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc302)
    %533 = torch.aten.add.Tensor %530, %532, %int1 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,128,128],f32> loc(#loc303)
    %534 = torch.aten.sigmoid %533 : !torch.vtensor<[1,512,128,128],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc304)
    %535 = torch.aten.mul.Tensor %534, %533 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[1,512,128,128],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc304)
    %536 = torch.aten.convolution %535, %81, %80, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,128,128],f32> loc(#loc305)
    %537 = torch.aten.view %536, %510 : !torch.vtensor<[1,512,128,128],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc306)
    %538 = torch.aten.to.dtype %537, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,16384],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc307)
    %539 = torch.aten.sum.dim_IntList %538, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc307)
    %540 = torch.aten.div.Scalar %539, %int262144 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc307)
    %541 = torch.aten.sub.Tensor %538, %540, %float1.000000e00 : !torch.vtensor<[1,32,16,16384],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc307)
    %542 = torch.aten.mul.Tensor %541, %541 : !torch.vtensor<[1,32,16,16384],f64>, !torch.vtensor<[1,32,16,16384],f64> -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc307)
    %543 = torch.aten.sum.dim_IntList %542, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc307)
    %544 = torch.aten.div.Scalar %543, %int262144 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc307)
    %545 = torch.aten.to.dtype %544, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc307)
    %546 = torch.aten.sum.dim_IntList %537, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc308)
    %547 = torch.aten.div.Scalar %546, %int262144 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc308)
    %548 = torch.aten.add.Scalar %545, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc309)
    %549 = torch.aten.rsqrt %548 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc310)
    %550 = torch.aten.sub.Tensor %537, %547, %int1 : !torch.vtensor<[1,32,16,16384],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc311)
    %551 = torch.aten.mul.Tensor %550, %549 : !torch.vtensor<[1,32,16,16384],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc312)
    %552 = torch.aten.view %551, %526 : !torch.vtensor<[1,32,16,16384],f32>, !torch.list<int> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc313)
    %553 = torch.aten.unsqueeze %79, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc314)
    %554 = torch.aten.unsqueeze %553, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc315)
    %555 = torch.aten.mul.Tensor %552, %554 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc316)
    %556 = torch.aten.unsqueeze %78, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc317)
    %557 = torch.aten.unsqueeze %556, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc318)
    %558 = torch.aten.add.Tensor %555, %557, %int1 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,128,128],f32> loc(#loc319)
    %559 = torch.aten.sigmoid %558 : !torch.vtensor<[1,512,128,128],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc320)
    %560 = torch.aten.mul.Tensor %559, %558 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[1,512,128,128],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc320)
    %561 = torch.aten.convolution %560, %77, %76, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,128,128],f32> loc(#loc321)
    %562 = torch.aten.add.Tensor %509, %561, %int1 : !torch.vtensor<[1,512,?,?],f32>, !torch.vtensor<[1,512,128,128],f32>, !torch.int -> !torch.vtensor<[1,512,?,?],f32> loc(#loc322)
    %563 = torch.aten.div.Scalar %562, %float1.000000e00 : !torch.vtensor<[1,512,?,?],f32>, !torch.float -> !torch.vtensor<[1,512,?,?],f32> loc(#loc323)
    %564 = torch.aten.view %563, %510 : !torch.vtensor<[1,512,?,?],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc324)
    %565 = torch.aten.to.dtype %564, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,16384],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc325)
    %566 = torch.aten.sum.dim_IntList %565, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc325)
    %567 = torch.aten.div.Scalar %566, %int262144 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc325)
    %568 = torch.aten.sub.Tensor %565, %567, %float1.000000e00 : !torch.vtensor<[1,32,16,16384],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc325)
    %569 = torch.aten.mul.Tensor %568, %568 : !torch.vtensor<[1,32,16,16384],f64>, !torch.vtensor<[1,32,16,16384],f64> -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc325)
    %570 = torch.aten.sum.dim_IntList %569, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc325)
    %571 = torch.aten.div.Scalar %570, %int262144 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc325)
    %572 = torch.aten.to.dtype %571, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc325)
    %573 = torch.aten.sum.dim_IntList %564, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc326)
    %574 = torch.aten.div.Scalar %573, %int262144 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc326)
    %575 = torch.aten.add.Scalar %572, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc327)
    %576 = torch.aten.rsqrt %575 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc328)
    %577 = torch.aten.sub.Tensor %564, %574, %int1 : !torch.vtensor<[1,32,16,16384],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc329)
    %578 = torch.aten.mul.Tensor %577, %576 : !torch.vtensor<[1,32,16,16384],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc330)
    %579 = torch.aten.view %578, %526 : !torch.vtensor<[1,32,16,16384],f32>, !torch.list<int> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc331)
    %580 = torch.aten.unsqueeze %75, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc332)
    %581 = torch.aten.unsqueeze %580, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc333)
    %582 = torch.aten.mul.Tensor %579, %581 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc334)
    %583 = torch.aten.unsqueeze %74, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc335)
    %584 = torch.aten.unsqueeze %583, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc336)
    %585 = torch.aten.add.Tensor %582, %584, %int1 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,128,128],f32> loc(#loc337)
    %586 = torch.aten.sigmoid %585 : !torch.vtensor<[1,512,128,128],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc338)
    %587 = torch.aten.mul.Tensor %586, %585 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[1,512,128,128],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc338)
    %588 = torch.aten.convolution %587, %73, %72, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,128,128],f32> loc(#loc339)
    %589 = torch.aten.view %588, %510 : !torch.vtensor<[1,512,128,128],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc340)
    %590 = torch.aten.to.dtype %589, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,16384],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc341)
    %591 = torch.aten.sum.dim_IntList %590, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc341)
    %592 = torch.aten.div.Scalar %591, %int262144 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc341)
    %593 = torch.aten.sub.Tensor %590, %592, %float1.000000e00 : !torch.vtensor<[1,32,16,16384],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc341)
    %594 = torch.aten.mul.Tensor %593, %593 : !torch.vtensor<[1,32,16,16384],f64>, !torch.vtensor<[1,32,16,16384],f64> -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc341)
    %595 = torch.aten.sum.dim_IntList %594, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc341)
    %596 = torch.aten.div.Scalar %595, %int262144 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc341)
    %597 = torch.aten.to.dtype %596, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc341)
    %598 = torch.aten.sum.dim_IntList %589, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc342)
    %599 = torch.aten.div.Scalar %598, %int262144 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc342)
    %600 = torch.aten.add.Scalar %597, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc343)
    %601 = torch.aten.rsqrt %600 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc344)
    %602 = torch.aten.sub.Tensor %589, %599, %int1 : !torch.vtensor<[1,32,16,16384],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc345)
    %603 = torch.aten.mul.Tensor %602, %601 : !torch.vtensor<[1,32,16,16384],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc346)
    %604 = torch.aten.view %603, %526 : !torch.vtensor<[1,32,16,16384],f32>, !torch.list<int> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc347)
    %605 = torch.aten.unsqueeze %71, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc348)
    %606 = torch.aten.unsqueeze %605, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc349)
    %607 = torch.aten.mul.Tensor %604, %606 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc350)
    %608 = torch.aten.unsqueeze %70, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc351)
    %609 = torch.aten.unsqueeze %608, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc352)
    %610 = torch.aten.add.Tensor %607, %609, %int1 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,128,128],f32> loc(#loc353)
    %611 = torch.aten.sigmoid %610 : !torch.vtensor<[1,512,128,128],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc354)
    %612 = torch.aten.mul.Tensor %611, %610 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[1,512,128,128],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc354)
    %613 = torch.aten.convolution %612, %69, %68, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,128,128],f32> loc(#loc355)
    %614 = torch.aten.add.Tensor %563, %613, %int1 : !torch.vtensor<[1,512,?,?],f32>, !torch.vtensor<[1,512,128,128],f32>, !torch.int -> !torch.vtensor<[1,512,?,?],f32> loc(#loc356)
    %615 = torch.aten.div.Scalar %614, %float1.000000e00 : !torch.vtensor<[1,512,?,?],f32>, !torch.float -> !torch.vtensor<[1,512,?,?],f32> loc(#loc357)
    %616 = torch.aten.view %615, %510 : !torch.vtensor<[1,512,?,?],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc358)
    %617 = torch.aten.to.dtype %616, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,16384],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc359)
    %618 = torch.aten.sum.dim_IntList %617, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc359)
    %619 = torch.aten.div.Scalar %618, %int262144 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc359)
    %620 = torch.aten.sub.Tensor %617, %619, %float1.000000e00 : !torch.vtensor<[1,32,16,16384],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc359)
    %621 = torch.aten.mul.Tensor %620, %620 : !torch.vtensor<[1,32,16,16384],f64>, !torch.vtensor<[1,32,16,16384],f64> -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc359)
    %622 = torch.aten.sum.dim_IntList %621, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc359)
    %623 = torch.aten.div.Scalar %622, %int262144 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc359)
    %624 = torch.aten.to.dtype %623, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc359)
    %625 = torch.aten.sum.dim_IntList %616, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc360)
    %626 = torch.aten.div.Scalar %625, %int262144 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc360)
    %627 = torch.aten.add.Scalar %624, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc361)
    %628 = torch.aten.rsqrt %627 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc362)
    %629 = torch.aten.sub.Tensor %616, %626, %int1 : !torch.vtensor<[1,32,16,16384],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc363)
    %630 = torch.aten.mul.Tensor %629, %628 : !torch.vtensor<[1,32,16,16384],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc364)
    %631 = torch.aten.view %630, %526 : !torch.vtensor<[1,32,16,16384],f32>, !torch.list<int> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc365)
    %632 = torch.aten.unsqueeze %67, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc366)
    %633 = torch.aten.unsqueeze %632, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc367)
    %634 = torch.aten.mul.Tensor %631, %633 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc368)
    %635 = torch.aten.unsqueeze %66, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc369)
    %636 = torch.aten.unsqueeze %635, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc370)
    %637 = torch.aten.add.Tensor %634, %636, %int1 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,128,128],f32> loc(#loc371)
    %638 = torch.aten.sigmoid %637 : !torch.vtensor<[1,512,128,128],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc372)
    %639 = torch.aten.mul.Tensor %638, %637 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[1,512,128,128],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc372)
    %640 = torch.aten.convolution %639, %65, %64, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,128,128],f32> loc(#loc373)
    %641 = torch.aten.view %640, %510 : !torch.vtensor<[1,512,128,128],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc374)
    %642 = torch.aten.to.dtype %641, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,16384],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc375)
    %643 = torch.aten.sum.dim_IntList %642, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc375)
    %644 = torch.aten.div.Scalar %643, %int262144 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc375)
    %645 = torch.aten.sub.Tensor %642, %644, %float1.000000e00 : !torch.vtensor<[1,32,16,16384],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc375)
    %646 = torch.aten.mul.Tensor %645, %645 : !torch.vtensor<[1,32,16,16384],f64>, !torch.vtensor<[1,32,16,16384],f64> -> !torch.vtensor<[1,32,16,16384],f64> loc(#loc375)
    %647 = torch.aten.sum.dim_IntList %646, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc375)
    %648 = torch.aten.div.Scalar %647, %int262144 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc375)
    %649 = torch.aten.to.dtype %648, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc375)
    %650 = torch.aten.sum.dim_IntList %641, %146, %true, %none : !torch.vtensor<[1,32,16,16384],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc376)
    %651 = torch.aten.div.Scalar %650, %int262144 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc376)
    %652 = torch.aten.add.Scalar %649, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc377)
    %653 = torch.aten.rsqrt %652 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc378)
    %654 = torch.aten.sub.Tensor %641, %651, %int1 : !torch.vtensor<[1,32,16,16384],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc379)
    %655 = torch.aten.mul.Tensor %654, %653 : !torch.vtensor<[1,32,16,16384],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,16384],f32> loc(#loc380)
    %656 = torch.aten.view %655, %526 : !torch.vtensor<[1,32,16,16384],f32>, !torch.list<int> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc381)
    %657 = torch.aten.unsqueeze %63, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc382)
    %658 = torch.aten.unsqueeze %657, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc383)
    %659 = torch.aten.mul.Tensor %656, %658 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc384)
    %660 = torch.aten.unsqueeze %62, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc385)
    %661 = torch.aten.unsqueeze %660, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc386)
    %662 = torch.aten.add.Tensor %659, %661, %int1 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,128,128],f32> loc(#loc387)
    %663 = torch.aten.sigmoid %662 : !torch.vtensor<[1,512,128,128],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc388)
    %664 = torch.aten.mul.Tensor %663, %662 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[1,512,128,128],f32> -> !torch.vtensor<[1,512,128,128],f32> loc(#loc388)
    %665 = torch.aten.convolution %664, %61, %60, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,128,128],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,128,128],f32> loc(#loc389)
    %666 = torch.aten.add.Tensor %615, %665, %int1 : !torch.vtensor<[1,512,?,?],f32>, !torch.vtensor<[1,512,128,128],f32>, !torch.int -> !torch.vtensor<[1,512,?,?],f32> loc(#loc390)
    %667 = torch.aten.div.Scalar %666, %float1.000000e00 : !torch.vtensor<[1,512,?,?],f32>, !torch.float -> !torch.vtensor<[1,512,?,?],f32> loc(#loc391)
    %668 = torch.aten.upsample_nearest2d.vec %667, %none, %507 : !torch.vtensor<[1,512,?,?],f32>, !torch.none, !torch.list<float> -> !torch.vtensor<[1,512,?,?],f32> loc(#loc392)
    %669 = torch.aten.convolution %668, %59, %58, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,?,?],f32>, !torch.vtensor<[512,512,3,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,512,?,?],f32> loc(#loc393)
    %670 = torch.prim.ListConstruct %int1, %int32, %int16, %int65536 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc394)
    %671 = torch.aten.view %669, %670 : !torch.vtensor<[1,512,?,?],f32>, !torch.list<int> -> !torch.vtensor<[1,32,16,65536],f32> loc(#loc395)
    %672 = torch.aten.to.dtype %671, %int7, %false, %false, %none : !torch.vtensor<[1,32,16,65536],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,16,65536],f64> loc(#loc1)
    %673 = torch.aten.sum.dim_IntList %672, %146, %true, %none : !torch.vtensor<[1,32,16,65536],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc1)
    %674 = torch.aten.div.Scalar %673, %int1048576 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc1)
    %675 = torch.aten.sub.Tensor %672, %674, %float1.000000e00 : !torch.vtensor<[1,32,16,65536],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,16,65536],f64> loc(#loc1)
    %676 = torch.aten.mul.Tensor %675, %675 : !torch.vtensor<[1,32,16,65536],f64>, !torch.vtensor<[1,32,16,65536],f64> -> !torch.vtensor<[1,32,16,65536],f64> loc(#loc1)
    %677 = torch.aten.sum.dim_IntList %676, %146, %true, %none : !torch.vtensor<[1,32,16,65536],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc1)
    %678 = torch.aten.div.Scalar %677, %int1048576 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc1)
    %679 = torch.aten.to.dtype %678, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc1)
    %680 = torch.aten.sum.dim_IntList %671, %146, %true, %none : !torch.vtensor<[1,32,16,65536],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc396)
    %681 = torch.aten.div.Scalar %680, %int1048576 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc396)
    %682 = torch.aten.add.Scalar %679, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc397)
    %683 = torch.aten.rsqrt %682 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc398)
    %684 = torch.aten.sub.Tensor %671, %681, %int1 : !torch.vtensor<[1,32,16,65536],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,16,65536],f32> loc(#loc399)
    %685 = torch.aten.mul.Tensor %684, %683 : !torch.vtensor<[1,32,16,65536],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,16,65536],f32> loc(#loc400)
    %686 = torch.prim.ListConstruct %int1, %int512, %int256, %int256 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc401)
    %687 = torch.aten.view %685, %686 : !torch.vtensor<[1,32,16,65536],f32>, !torch.list<int> -> !torch.vtensor<[1,512,256,256],f32> loc(#loc402)
    %688 = torch.aten.unsqueeze %57, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc403)
    %689 = torch.aten.unsqueeze %688, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc404)
    %690 = torch.aten.mul.Tensor %687, %689 : !torch.vtensor<[1,512,256,256],f32>, !torch.vtensor<[512,1,1],f32> -> !torch.vtensor<[1,512,256,256],f32> loc(#loc405)
    %691 = torch.aten.unsqueeze %56, %int-1 : !torch.vtensor<[512],f32>, !torch.int -> !torch.vtensor<[512,1],f32> loc(#loc406)
    %692 = torch.aten.unsqueeze %691, %int-1 : !torch.vtensor<[512,1],f32>, !torch.int -> !torch.vtensor<[512,1,1],f32> loc(#loc407)
    %693 = torch.aten.add.Tensor %690, %692, %int1 : !torch.vtensor<[1,512,256,256],f32>, !torch.vtensor<[512,1,1],f32>, !torch.int -> !torch.vtensor<[1,512,256,256],f32> loc(#loc408)
    %694 = torch.aten.sigmoid %693 : !torch.vtensor<[1,512,256,256],f32> -> !torch.vtensor<[1,512,256,256],f32> loc(#loc409)
    %695 = torch.aten.mul.Tensor %694, %693 : !torch.vtensor<[1,512,256,256],f32>, !torch.vtensor<[1,512,256,256],f32> -> !torch.vtensor<[1,512,256,256],f32> loc(#loc409)
    %696 = torch.aten.convolution %695, %55, %54, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,512,256,256],f32>, !torch.vtensor<[256,512,3,3],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,256,256,256],f32> loc(#loc410)
    %697 = torch.prim.ListConstruct %int1, %int32, %int8, %int65536 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc411)
    %698 = torch.aten.view %696, %697 : !torch.vtensor<[1,256,256,256],f32>, !torch.list<int> -> !torch.vtensor<[1,32,8,65536],f32> loc(#loc412)
    %699 = torch.aten.to.dtype %698, %int7, %false, %false, %none : !torch.vtensor<[1,32,8,65536],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,8,65536],f64> loc(#loc6)
    %700 = torch.aten.sum.dim_IntList %699, %146, %true, %none : !torch.vtensor<[1,32,8,65536],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc6)
    %701 = torch.aten.div.Scalar %700, %int524288 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc6)
    %702 = torch.aten.sub.Tensor %699, %701, %float1.000000e00 : !torch.vtensor<[1,32,8,65536],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,8,65536],f64> loc(#loc6)
    %703 = torch.aten.mul.Tensor %702, %702 : !torch.vtensor<[1,32,8,65536],f64>, !torch.vtensor<[1,32,8,65536],f64> -> !torch.vtensor<[1,32,8,65536],f64> loc(#loc6)
    %704 = torch.aten.sum.dim_IntList %703, %146, %true, %none : !torch.vtensor<[1,32,8,65536],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc6)
    %705 = torch.aten.div.Scalar %704, %int524288 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc6)
    %706 = torch.aten.to.dtype %705, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc6)
    %707 = torch.aten.sum.dim_IntList %698, %146, %true, %none : !torch.vtensor<[1,32,8,65536],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc413)
    %708 = torch.aten.div.Scalar %707, %int524288 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc413)
    %709 = torch.aten.add.Scalar %706, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc414)
    %710 = torch.aten.rsqrt %709 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc415)
    %711 = torch.aten.sub.Tensor %698, %708, %int1 : !torch.vtensor<[1,32,8,65536],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,8,65536],f32> loc(#loc416)
    %712 = torch.aten.mul.Tensor %711, %710 : !torch.vtensor<[1,32,8,65536],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,8,65536],f32> loc(#loc417)
    %713 = torch.prim.ListConstruct %int1, %int256, %int256, %int256 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc418)
    %714 = torch.aten.view %712, %713 : !torch.vtensor<[1,32,8,65536],f32>, !torch.list<int> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc419)
    %715 = torch.aten.unsqueeze %53, %int-1 : !torch.vtensor<[256],f32>, !torch.int -> !torch.vtensor<[256,1],f32> loc(#loc420)
    %716 = torch.aten.unsqueeze %715, %int-1 : !torch.vtensor<[256,1],f32>, !torch.int -> !torch.vtensor<[256,1,1],f32> loc(#loc421)
    %717 = torch.aten.mul.Tensor %714, %716 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[256,1,1],f32> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc422)
    %718 = torch.aten.unsqueeze %52, %int-1 : !torch.vtensor<[256],f32>, !torch.int -> !torch.vtensor<[256,1],f32> loc(#loc423)
    %719 = torch.aten.unsqueeze %718, %int-1 : !torch.vtensor<[256,1],f32>, !torch.int -> !torch.vtensor<[256,1,1],f32> loc(#loc424)
    %720 = torch.aten.add.Tensor %717, %719, %int1 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[256,1,1],f32>, !torch.int -> !torch.vtensor<[1,256,256,256],f32> loc(#loc425)
    %721 = torch.aten.sigmoid %720 : !torch.vtensor<[1,256,256,256],f32> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc426)
    %722 = torch.aten.mul.Tensor %721, %720 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[1,256,256,256],f32> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc426)
    %723 = torch.aten.convolution %722, %51, %50, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[256,256,3,3],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,256,256,256],f32> loc(#loc427)
    %724 = torch.aten.convolution %669, %49, %48, %140, %141, %140, %false, %141, %int1 : !torch.vtensor<[1,512,?,?],f32>, !torch.vtensor<[256,512,1,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,256,?,?],f32> loc(#loc428)
    %725 = torch.aten.add.Tensor %724, %723, %int1 : !torch.vtensor<[1,256,?,?],f32>, !torch.vtensor<[1,256,256,256],f32>, !torch.int -> !torch.vtensor<[1,256,?,?],f32> loc(#loc429)
    %726 = torch.aten.div.Scalar %725, %float1.000000e00 : !torch.vtensor<[1,256,?,?],f32>, !torch.float -> !torch.vtensor<[1,256,?,?],f32> loc(#loc430)
    %727 = torch.aten.view %726, %697 : !torch.vtensor<[1,256,?,?],f32>, !torch.list<int> -> !torch.vtensor<[1,32,8,65536],f32> loc(#loc431)
    %728 = torch.aten.to.dtype %727, %int7, %false, %false, %none : !torch.vtensor<[1,32,8,65536],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,8,65536],f64> loc(#loc432)
    %729 = torch.aten.sum.dim_IntList %728, %146, %true, %none : !torch.vtensor<[1,32,8,65536],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc432)
    %730 = torch.aten.div.Scalar %729, %int524288 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc432)
    %731 = torch.aten.sub.Tensor %728, %730, %float1.000000e00 : !torch.vtensor<[1,32,8,65536],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,8,65536],f64> loc(#loc432)
    %732 = torch.aten.mul.Tensor %731, %731 : !torch.vtensor<[1,32,8,65536],f64>, !torch.vtensor<[1,32,8,65536],f64> -> !torch.vtensor<[1,32,8,65536],f64> loc(#loc432)
    %733 = torch.aten.sum.dim_IntList %732, %146, %true, %none : !torch.vtensor<[1,32,8,65536],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc432)
    %734 = torch.aten.div.Scalar %733, %int524288 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc432)
    %735 = torch.aten.to.dtype %734, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc432)
    %736 = torch.aten.sum.dim_IntList %727, %146, %true, %none : !torch.vtensor<[1,32,8,65536],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc433)
    %737 = torch.aten.div.Scalar %736, %int524288 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc433)
    %738 = torch.aten.add.Scalar %735, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc434)
    %739 = torch.aten.rsqrt %738 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc435)
    %740 = torch.aten.sub.Tensor %727, %737, %int1 : !torch.vtensor<[1,32,8,65536],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,8,65536],f32> loc(#loc436)
    %741 = torch.aten.mul.Tensor %740, %739 : !torch.vtensor<[1,32,8,65536],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,8,65536],f32> loc(#loc437)
    %742 = torch.aten.view %741, %713 : !torch.vtensor<[1,32,8,65536],f32>, !torch.list<int> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc438)
    %743 = torch.aten.unsqueeze %47, %int-1 : !torch.vtensor<[256],f32>, !torch.int -> !torch.vtensor<[256,1],f32> loc(#loc439)
    %744 = torch.aten.unsqueeze %743, %int-1 : !torch.vtensor<[256,1],f32>, !torch.int -> !torch.vtensor<[256,1,1],f32> loc(#loc440)
    %745 = torch.aten.mul.Tensor %742, %744 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[256,1,1],f32> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc441)
    %746 = torch.aten.unsqueeze %46, %int-1 : !torch.vtensor<[256],f32>, !torch.int -> !torch.vtensor<[256,1],f32> loc(#loc442)
    %747 = torch.aten.unsqueeze %746, %int-1 : !torch.vtensor<[256,1],f32>, !torch.int -> !torch.vtensor<[256,1,1],f32> loc(#loc443)
    %748 = torch.aten.add.Tensor %745, %747, %int1 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[256,1,1],f32>, !torch.int -> !torch.vtensor<[1,256,256,256],f32> loc(#loc444)
    %749 = torch.aten.sigmoid %748 : !torch.vtensor<[1,256,256,256],f32> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc445)
    %750 = torch.aten.mul.Tensor %749, %748 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[1,256,256,256],f32> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc445)
    %751 = torch.aten.convolution %750, %45, %44, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[256,256,3,3],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,256,256,256],f32> loc(#loc446)
    %752 = torch.aten.view %751, %697 : !torch.vtensor<[1,256,256,256],f32>, !torch.list<int> -> !torch.vtensor<[1,32,8,65536],f32> loc(#loc447)
    %753 = torch.aten.to.dtype %752, %int7, %false, %false, %none : !torch.vtensor<[1,32,8,65536],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,8,65536],f64> loc(#loc448)
    %754 = torch.aten.sum.dim_IntList %753, %146, %true, %none : !torch.vtensor<[1,32,8,65536],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc448)
    %755 = torch.aten.div.Scalar %754, %int524288 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc448)
    %756 = torch.aten.sub.Tensor %753, %755, %float1.000000e00 : !torch.vtensor<[1,32,8,65536],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,8,65536],f64> loc(#loc448)
    %757 = torch.aten.mul.Tensor %756, %756 : !torch.vtensor<[1,32,8,65536],f64>, !torch.vtensor<[1,32,8,65536],f64> -> !torch.vtensor<[1,32,8,65536],f64> loc(#loc448)
    %758 = torch.aten.sum.dim_IntList %757, %146, %true, %none : !torch.vtensor<[1,32,8,65536],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc448)
    %759 = torch.aten.div.Scalar %758, %int524288 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc448)
    %760 = torch.aten.to.dtype %759, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc448)
    %761 = torch.aten.sum.dim_IntList %752, %146, %true, %none : !torch.vtensor<[1,32,8,65536],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc449)
    %762 = torch.aten.div.Scalar %761, %int524288 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc449)
    %763 = torch.aten.add.Scalar %760, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc450)
    %764 = torch.aten.rsqrt %763 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc451)
    %765 = torch.aten.sub.Tensor %752, %762, %int1 : !torch.vtensor<[1,32,8,65536],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,8,65536],f32> loc(#loc452)
    %766 = torch.aten.mul.Tensor %765, %764 : !torch.vtensor<[1,32,8,65536],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,8,65536],f32> loc(#loc453)
    %767 = torch.aten.view %766, %713 : !torch.vtensor<[1,32,8,65536],f32>, !torch.list<int> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc454)
    %768 = torch.aten.unsqueeze %43, %int-1 : !torch.vtensor<[256],f32>, !torch.int -> !torch.vtensor<[256,1],f32> loc(#loc455)
    %769 = torch.aten.unsqueeze %768, %int-1 : !torch.vtensor<[256,1],f32>, !torch.int -> !torch.vtensor<[256,1,1],f32> loc(#loc456)
    %770 = torch.aten.mul.Tensor %767, %769 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[256,1,1],f32> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc457)
    %771 = torch.aten.unsqueeze %42, %int-1 : !torch.vtensor<[256],f32>, !torch.int -> !torch.vtensor<[256,1],f32> loc(#loc458)
    %772 = torch.aten.unsqueeze %771, %int-1 : !torch.vtensor<[256,1],f32>, !torch.int -> !torch.vtensor<[256,1,1],f32> loc(#loc459)
    %773 = torch.aten.add.Tensor %770, %772, %int1 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[256,1,1],f32>, !torch.int -> !torch.vtensor<[1,256,256,256],f32> loc(#loc460)
    %774 = torch.aten.sigmoid %773 : !torch.vtensor<[1,256,256,256],f32> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc461)
    %775 = torch.aten.mul.Tensor %774, %773 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[1,256,256,256],f32> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc461)
    %776 = torch.aten.convolution %775, %41, %40, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[256,256,3,3],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,256,256,256],f32> loc(#loc462)
    %777 = torch.aten.add.Tensor %726, %776, %int1 : !torch.vtensor<[1,256,?,?],f32>, !torch.vtensor<[1,256,256,256],f32>, !torch.int -> !torch.vtensor<[1,256,?,?],f32> loc(#loc463)
    %778 = torch.aten.div.Scalar %777, %float1.000000e00 : !torch.vtensor<[1,256,?,?],f32>, !torch.float -> !torch.vtensor<[1,256,?,?],f32> loc(#loc464)
    %779 = torch.aten.view %778, %697 : !torch.vtensor<[1,256,?,?],f32>, !torch.list<int> -> !torch.vtensor<[1,32,8,65536],f32> loc(#loc465)
    %780 = torch.aten.to.dtype %779, %int7, %false, %false, %none : !torch.vtensor<[1,32,8,65536],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,8,65536],f64> loc(#loc466)
    %781 = torch.aten.sum.dim_IntList %780, %146, %true, %none : !torch.vtensor<[1,32,8,65536],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc466)
    %782 = torch.aten.div.Scalar %781, %int524288 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc466)
    %783 = torch.aten.sub.Tensor %780, %782, %float1.000000e00 : !torch.vtensor<[1,32,8,65536],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,8,65536],f64> loc(#loc466)
    %784 = torch.aten.mul.Tensor %783, %783 : !torch.vtensor<[1,32,8,65536],f64>, !torch.vtensor<[1,32,8,65536],f64> -> !torch.vtensor<[1,32,8,65536],f64> loc(#loc466)
    %785 = torch.aten.sum.dim_IntList %784, %146, %true, %none : !torch.vtensor<[1,32,8,65536],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc466)
    %786 = torch.aten.div.Scalar %785, %int524288 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc466)
    %787 = torch.aten.to.dtype %786, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc466)
    %788 = torch.aten.sum.dim_IntList %779, %146, %true, %none : !torch.vtensor<[1,32,8,65536],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc467)
    %789 = torch.aten.div.Scalar %788, %int524288 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc467)
    %790 = torch.aten.add.Scalar %787, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc468)
    %791 = torch.aten.rsqrt %790 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc469)
    %792 = torch.aten.sub.Tensor %779, %789, %int1 : !torch.vtensor<[1,32,8,65536],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,8,65536],f32> loc(#loc470)
    %793 = torch.aten.mul.Tensor %792, %791 : !torch.vtensor<[1,32,8,65536],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,8,65536],f32> loc(#loc471)
    %794 = torch.aten.view %793, %713 : !torch.vtensor<[1,32,8,65536],f32>, !torch.list<int> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc472)
    %795 = torch.aten.unsqueeze %39, %int-1 : !torch.vtensor<[256],f32>, !torch.int -> !torch.vtensor<[256,1],f32> loc(#loc473)
    %796 = torch.aten.unsqueeze %795, %int-1 : !torch.vtensor<[256,1],f32>, !torch.int -> !torch.vtensor<[256,1,1],f32> loc(#loc474)
    %797 = torch.aten.mul.Tensor %794, %796 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[256,1,1],f32> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc475)
    %798 = torch.aten.unsqueeze %38, %int-1 : !torch.vtensor<[256],f32>, !torch.int -> !torch.vtensor<[256,1],f32> loc(#loc476)
    %799 = torch.aten.unsqueeze %798, %int-1 : !torch.vtensor<[256,1],f32>, !torch.int -> !torch.vtensor<[256,1,1],f32> loc(#loc477)
    %800 = torch.aten.add.Tensor %797, %799, %int1 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[256,1,1],f32>, !torch.int -> !torch.vtensor<[1,256,256,256],f32> loc(#loc478)
    %801 = torch.aten.sigmoid %800 : !torch.vtensor<[1,256,256,256],f32> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc479)
    %802 = torch.aten.mul.Tensor %801, %800 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[1,256,256,256],f32> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc479)
    %803 = torch.aten.convolution %802, %37, %36, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[256,256,3,3],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,256,256,256],f32> loc(#loc480)
    %804 = torch.aten.view %803, %697 : !torch.vtensor<[1,256,256,256],f32>, !torch.list<int> -> !torch.vtensor<[1,32,8,65536],f32> loc(#loc481)
    %805 = torch.aten.to.dtype %804, %int7, %false, %false, %none : !torch.vtensor<[1,32,8,65536],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,8,65536],f64> loc(#loc482)
    %806 = torch.aten.sum.dim_IntList %805, %146, %true, %none : !torch.vtensor<[1,32,8,65536],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc482)
    %807 = torch.aten.div.Scalar %806, %int524288 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc482)
    %808 = torch.aten.sub.Tensor %805, %807, %float1.000000e00 : !torch.vtensor<[1,32,8,65536],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,8,65536],f64> loc(#loc482)
    %809 = torch.aten.mul.Tensor %808, %808 : !torch.vtensor<[1,32,8,65536],f64>, !torch.vtensor<[1,32,8,65536],f64> -> !torch.vtensor<[1,32,8,65536],f64> loc(#loc482)
    %810 = torch.aten.sum.dim_IntList %809, %146, %true, %none : !torch.vtensor<[1,32,8,65536],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc482)
    %811 = torch.aten.div.Scalar %810, %int524288 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc482)
    %812 = torch.aten.to.dtype %811, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc482)
    %813 = torch.aten.sum.dim_IntList %804, %146, %true, %none : !torch.vtensor<[1,32,8,65536],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc483)
    %814 = torch.aten.div.Scalar %813, %int524288 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc483)
    %815 = torch.aten.add.Scalar %812, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc484)
    %816 = torch.aten.rsqrt %815 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc485)
    %817 = torch.aten.sub.Tensor %804, %814, %int1 : !torch.vtensor<[1,32,8,65536],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,8,65536],f32> loc(#loc486)
    %818 = torch.aten.mul.Tensor %817, %816 : !torch.vtensor<[1,32,8,65536],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,8,65536],f32> loc(#loc487)
    %819 = torch.aten.view %818, %713 : !torch.vtensor<[1,32,8,65536],f32>, !torch.list<int> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc488)
    %820 = torch.aten.unsqueeze %35, %int-1 : !torch.vtensor<[256],f32>, !torch.int -> !torch.vtensor<[256,1],f32> loc(#loc489)
    %821 = torch.aten.unsqueeze %820, %int-1 : !torch.vtensor<[256,1],f32>, !torch.int -> !torch.vtensor<[256,1,1],f32> loc(#loc490)
    %822 = torch.aten.mul.Tensor %819, %821 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[256,1,1],f32> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc491)
    %823 = torch.aten.unsqueeze %34, %int-1 : !torch.vtensor<[256],f32>, !torch.int -> !torch.vtensor<[256,1],f32> loc(#loc492)
    %824 = torch.aten.unsqueeze %823, %int-1 : !torch.vtensor<[256,1],f32>, !torch.int -> !torch.vtensor<[256,1,1],f32> loc(#loc493)
    %825 = torch.aten.add.Tensor %822, %824, %int1 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[256,1,1],f32>, !torch.int -> !torch.vtensor<[1,256,256,256],f32> loc(#loc494)
    %826 = torch.aten.sigmoid %825 : !torch.vtensor<[1,256,256,256],f32> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc495)
    %827 = torch.aten.mul.Tensor %826, %825 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[1,256,256,256],f32> -> !torch.vtensor<[1,256,256,256],f32> loc(#loc495)
    %828 = torch.aten.convolution %827, %33, %32, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,256,256,256],f32>, !torch.vtensor<[256,256,3,3],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,256,256,256],f32> loc(#loc496)
    %829 = torch.aten.add.Tensor %778, %828, %int1 : !torch.vtensor<[1,256,?,?],f32>, !torch.vtensor<[1,256,256,256],f32>, !torch.int -> !torch.vtensor<[1,256,?,?],f32> loc(#loc497)
    %830 = torch.aten.div.Scalar %829, %float1.000000e00 : !torch.vtensor<[1,256,?,?],f32>, !torch.float -> !torch.vtensor<[1,256,?,?],f32> loc(#loc498)
    %831 = torch.aten.upsample_nearest2d.vec %830, %none, %507 : !torch.vtensor<[1,256,?,?],f32>, !torch.none, !torch.list<float> -> !torch.vtensor<[1,256,?,?],f32> loc(#loc499)
    %832 = torch.aten.convolution %831, %31, %30, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,256,?,?],f32>, !torch.vtensor<[256,256,3,3],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,256,?,?],f32> loc(#loc500)
    %833 = torch.prim.ListConstruct %int1, %int32, %int8, %int262144 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc501)
    %834 = torch.aten.view %832, %833 : !torch.vtensor<[1,256,?,?],f32>, !torch.list<int> -> !torch.vtensor<[1,32,8,262144],f32> loc(#loc502)
    %835 = torch.aten.to.dtype %834, %int7, %false, %false, %none : !torch.vtensor<[1,32,8,262144],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,8,262144],f64> loc(#loc4)
    %836 = torch.aten.sum.dim_IntList %835, %146, %true, %none : !torch.vtensor<[1,32,8,262144],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc4)
    %837 = torch.aten.div.Scalar %836, %int2097152 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc4)
    %838 = torch.aten.sub.Tensor %835, %837, %float1.000000e00 : !torch.vtensor<[1,32,8,262144],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,8,262144],f64> loc(#loc4)
    %839 = torch.aten.mul.Tensor %838, %838 : !torch.vtensor<[1,32,8,262144],f64>, !torch.vtensor<[1,32,8,262144],f64> -> !torch.vtensor<[1,32,8,262144],f64> loc(#loc4)
    %840 = torch.aten.sum.dim_IntList %839, %146, %true, %none : !torch.vtensor<[1,32,8,262144],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc4)
    %841 = torch.aten.div.Scalar %840, %int2097152 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc4)
    %842 = torch.aten.to.dtype %841, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc4)
    %843 = torch.aten.sum.dim_IntList %834, %146, %true, %none : !torch.vtensor<[1,32,8,262144],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc503)
    %844 = torch.aten.div.Scalar %843, %int2097152 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc503)
    %845 = torch.aten.add.Scalar %842, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc504)
    %846 = torch.aten.rsqrt %845 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc505)
    %847 = torch.aten.sub.Tensor %834, %844, %int1 : !torch.vtensor<[1,32,8,262144],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,8,262144],f32> loc(#loc506)
    %848 = torch.aten.mul.Tensor %847, %846 : !torch.vtensor<[1,32,8,262144],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,8,262144],f32> loc(#loc507)
    %849 = torch.prim.ListConstruct %int1, %int256, %int512, %int512 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc508)
    %850 = torch.aten.view %848, %849 : !torch.vtensor<[1,32,8,262144],f32>, !torch.list<int> -> !torch.vtensor<[1,256,512,512],f32> loc(#loc509)
    %851 = torch.aten.unsqueeze %29, %int-1 : !torch.vtensor<[256],f32>, !torch.int -> !torch.vtensor<[256,1],f32> loc(#loc510)
    %852 = torch.aten.unsqueeze %851, %int-1 : !torch.vtensor<[256,1],f32>, !torch.int -> !torch.vtensor<[256,1,1],f32> loc(#loc511)
    %853 = torch.aten.mul.Tensor %850, %852 : !torch.vtensor<[1,256,512,512],f32>, !torch.vtensor<[256,1,1],f32> -> !torch.vtensor<[1,256,512,512],f32> loc(#loc512)
    %854 = torch.aten.unsqueeze %28, %int-1 : !torch.vtensor<[256],f32>, !torch.int -> !torch.vtensor<[256,1],f32> loc(#loc513)
    %855 = torch.aten.unsqueeze %854, %int-1 : !torch.vtensor<[256,1],f32>, !torch.int -> !torch.vtensor<[256,1,1],f32> loc(#loc514)
    %856 = torch.aten.add.Tensor %853, %855, %int1 : !torch.vtensor<[1,256,512,512],f32>, !torch.vtensor<[256,1,1],f32>, !torch.int -> !torch.vtensor<[1,256,512,512],f32> loc(#loc515)
    %857 = torch.aten.sigmoid %856 : !torch.vtensor<[1,256,512,512],f32> -> !torch.vtensor<[1,256,512,512],f32> loc(#loc516)
    %858 = torch.aten.mul.Tensor %857, %856 : !torch.vtensor<[1,256,512,512],f32>, !torch.vtensor<[1,256,512,512],f32> -> !torch.vtensor<[1,256,512,512],f32> loc(#loc516)
    %859 = torch.aten.convolution %858, %27, %26, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,256,512,512],f32>, !torch.vtensor<[128,256,3,3],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,512,512],f32> loc(#loc517)
    %860 = torch.prim.ListConstruct %int1, %int32, %int4, %int262144 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc518)
    %861 = torch.aten.view %859, %860 : !torch.vtensor<[1,128,512,512],f32>, !torch.list<int> -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc519)
    %862 = torch.aten.to.dtype %861, %int7, %false, %false, %none : !torch.vtensor<[1,32,4,262144],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc520)
    %863 = torch.aten.sum.dim_IntList %862, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc520)
    %864 = torch.aten.div.Scalar %863, %int1048576 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc520)
    %865 = torch.aten.sub.Tensor %862, %864, %float1.000000e00 : !torch.vtensor<[1,32,4,262144],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc520)
    %866 = torch.aten.mul.Tensor %865, %865 : !torch.vtensor<[1,32,4,262144],f64>, !torch.vtensor<[1,32,4,262144],f64> -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc520)
    %867 = torch.aten.sum.dim_IntList %866, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc520)
    %868 = torch.aten.div.Scalar %867, %int1048576 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc520)
    %869 = torch.aten.to.dtype %868, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc520)
    %870 = torch.aten.sum.dim_IntList %861, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc521)
    %871 = torch.aten.div.Scalar %870, %int1048576 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc521)
    %872 = torch.aten.add.Scalar %869, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc522)
    %873 = torch.aten.rsqrt %872 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc523)
    %874 = torch.aten.sub.Tensor %861, %871, %int1 : !torch.vtensor<[1,32,4,262144],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc524)
    %875 = torch.aten.mul.Tensor %874, %873 : !torch.vtensor<[1,32,4,262144],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc525)
    %876 = torch.prim.ListConstruct %int1, %int128, %int512, %int512 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int> loc(#loc526)
    %877 = torch.aten.view %875, %876 : !torch.vtensor<[1,32,4,262144],f32>, !torch.list<int> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc527)
    %878 = torch.aten.unsqueeze %25, %int-1 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor<[128,1],f32> loc(#loc528)
    %879 = torch.aten.unsqueeze %878, %int-1 : !torch.vtensor<[128,1],f32>, !torch.int -> !torch.vtensor<[128,1,1],f32> loc(#loc529)
    %880 = torch.aten.mul.Tensor %877, %879 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,1,1],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc530)
    %881 = torch.aten.unsqueeze %24, %int-1 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor<[128,1],f32> loc(#loc531)
    %882 = torch.aten.unsqueeze %881, %int-1 : !torch.vtensor<[128,1],f32>, !torch.int -> !torch.vtensor<[128,1,1],f32> loc(#loc532)
    %883 = torch.aten.add.Tensor %880, %882, %int1 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,1,1],f32>, !torch.int -> !torch.vtensor<[1,128,512,512],f32> loc(#loc533)
    %884 = torch.aten.sigmoid %883 : !torch.vtensor<[1,128,512,512],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc534)
    %885 = torch.aten.mul.Tensor %884, %883 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[1,128,512,512],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc534)
    %886 = torch.aten.convolution %885, %23, %22, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,128,3,3],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,512,512],f32> loc(#loc535)
    %887 = torch.aten.convolution %832, %21, %20, %140, %141, %140, %false, %141, %int1 : !torch.vtensor<[1,256,?,?],f32>, !torch.vtensor<[128,256,1,1],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,?,?],f32> loc(#loc536)
    %888 = torch.aten.add.Tensor %887, %886, %int1 : !torch.vtensor<[1,128,?,?],f32>, !torch.vtensor<[1,128,512,512],f32>, !torch.int -> !torch.vtensor<[1,128,?,?],f32> loc(#loc537)
    %889 = torch.aten.div.Scalar %888, %float1.000000e00 : !torch.vtensor<[1,128,?,?],f32>, !torch.float -> !torch.vtensor<[1,128,?,?],f32> loc(#loc538)
    %890 = torch.aten.view %889, %860 : !torch.vtensor<[1,128,?,?],f32>, !torch.list<int> -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc539)
    %891 = torch.aten.to.dtype %890, %int7, %false, %false, %none : !torch.vtensor<[1,32,4,262144],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc540)
    %892 = torch.aten.sum.dim_IntList %891, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc540)
    %893 = torch.aten.div.Scalar %892, %int1048576 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc540)
    %894 = torch.aten.sub.Tensor %891, %893, %float1.000000e00 : !torch.vtensor<[1,32,4,262144],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc540)
    %895 = torch.aten.mul.Tensor %894, %894 : !torch.vtensor<[1,32,4,262144],f64>, !torch.vtensor<[1,32,4,262144],f64> -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc540)
    %896 = torch.aten.sum.dim_IntList %895, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc540)
    %897 = torch.aten.div.Scalar %896, %int1048576 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc540)
    %898 = torch.aten.to.dtype %897, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc540)
    %899 = torch.aten.sum.dim_IntList %890, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc541)
    %900 = torch.aten.div.Scalar %899, %int1048576 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc541)
    %901 = torch.aten.add.Scalar %898, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc542)
    %902 = torch.aten.rsqrt %901 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc543)
    %903 = torch.aten.sub.Tensor %890, %900, %int1 : !torch.vtensor<[1,32,4,262144],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc544)
    %904 = torch.aten.mul.Tensor %903, %902 : !torch.vtensor<[1,32,4,262144],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc545)
    %905 = torch.aten.view %904, %876 : !torch.vtensor<[1,32,4,262144],f32>, !torch.list<int> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc546)
    %906 = torch.aten.unsqueeze %19, %int-1 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor<[128,1],f32> loc(#loc547)
    %907 = torch.aten.unsqueeze %906, %int-1 : !torch.vtensor<[128,1],f32>, !torch.int -> !torch.vtensor<[128,1,1],f32> loc(#loc548)
    %908 = torch.aten.mul.Tensor %905, %907 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,1,1],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc549)
    %909 = torch.aten.unsqueeze %18, %int-1 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor<[128,1],f32> loc(#loc550)
    %910 = torch.aten.unsqueeze %909, %int-1 : !torch.vtensor<[128,1],f32>, !torch.int -> !torch.vtensor<[128,1,1],f32> loc(#loc551)
    %911 = torch.aten.add.Tensor %908, %910, %int1 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,1,1],f32>, !torch.int -> !torch.vtensor<[1,128,512,512],f32> loc(#loc552)
    %912 = torch.aten.sigmoid %911 : !torch.vtensor<[1,128,512,512],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc553)
    %913 = torch.aten.mul.Tensor %912, %911 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[1,128,512,512],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc553)
    %914 = torch.aten.convolution %913, %17, %16, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,128,3,3],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,512,512],f32> loc(#loc554)
    %915 = torch.aten.view %914, %860 : !torch.vtensor<[1,128,512,512],f32>, !torch.list<int> -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc555)
    %916 = torch.aten.to.dtype %915, %int7, %false, %false, %none : !torch.vtensor<[1,32,4,262144],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc556)
    %917 = torch.aten.sum.dim_IntList %916, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc556)
    %918 = torch.aten.div.Scalar %917, %int1048576 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc556)
    %919 = torch.aten.sub.Tensor %916, %918, %float1.000000e00 : !torch.vtensor<[1,32,4,262144],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc556)
    %920 = torch.aten.mul.Tensor %919, %919 : !torch.vtensor<[1,32,4,262144],f64>, !torch.vtensor<[1,32,4,262144],f64> -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc556)
    %921 = torch.aten.sum.dim_IntList %920, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc556)
    %922 = torch.aten.div.Scalar %921, %int1048576 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc556)
    %923 = torch.aten.to.dtype %922, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc556)
    %924 = torch.aten.sum.dim_IntList %915, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc557)
    %925 = torch.aten.div.Scalar %924, %int1048576 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc557)
    %926 = torch.aten.add.Scalar %923, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc558)
    %927 = torch.aten.rsqrt %926 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc559)
    %928 = torch.aten.sub.Tensor %915, %925, %int1 : !torch.vtensor<[1,32,4,262144],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc560)
    %929 = torch.aten.mul.Tensor %928, %927 : !torch.vtensor<[1,32,4,262144],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc561)
    %930 = torch.aten.view %929, %876 : !torch.vtensor<[1,32,4,262144],f32>, !torch.list<int> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc562)
    %931 = torch.aten.unsqueeze %15, %int-1 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor<[128,1],f32> loc(#loc563)
    %932 = torch.aten.unsqueeze %931, %int-1 : !torch.vtensor<[128,1],f32>, !torch.int -> !torch.vtensor<[128,1,1],f32> loc(#loc564)
    %933 = torch.aten.mul.Tensor %930, %932 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,1,1],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc565)
    %934 = torch.aten.unsqueeze %14, %int-1 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor<[128,1],f32> loc(#loc566)
    %935 = torch.aten.unsqueeze %934, %int-1 : !torch.vtensor<[128,1],f32>, !torch.int -> !torch.vtensor<[128,1,1],f32> loc(#loc567)
    %936 = torch.aten.add.Tensor %933, %935, %int1 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,1,1],f32>, !torch.int -> !torch.vtensor<[1,128,512,512],f32> loc(#loc568)
    %937 = torch.aten.sigmoid %936 : !torch.vtensor<[1,128,512,512],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc569)
    %938 = torch.aten.mul.Tensor %937, %936 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[1,128,512,512],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc569)
    %939 = torch.aten.convolution %938, %13, %12, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,128,3,3],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,512,512],f32> loc(#loc570)
    %940 = torch.aten.add.Tensor %889, %939, %int1 : !torch.vtensor<[1,128,?,?],f32>, !torch.vtensor<[1,128,512,512],f32>, !torch.int -> !torch.vtensor<[1,128,?,?],f32> loc(#loc571)
    %941 = torch.aten.div.Scalar %940, %float1.000000e00 : !torch.vtensor<[1,128,?,?],f32>, !torch.float -> !torch.vtensor<[1,128,?,?],f32> loc(#loc572)
    %942 = torch.aten.view %941, %860 : !torch.vtensor<[1,128,?,?],f32>, !torch.list<int> -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc573)
    %943 = torch.aten.to.dtype %942, %int7, %false, %false, %none : !torch.vtensor<[1,32,4,262144],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc574)
    %944 = torch.aten.sum.dim_IntList %943, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc574)
    %945 = torch.aten.div.Scalar %944, %int1048576 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc574)
    %946 = torch.aten.sub.Tensor %943, %945, %float1.000000e00 : !torch.vtensor<[1,32,4,262144],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc574)
    %947 = torch.aten.mul.Tensor %946, %946 : !torch.vtensor<[1,32,4,262144],f64>, !torch.vtensor<[1,32,4,262144],f64> -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc574)
    %948 = torch.aten.sum.dim_IntList %947, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc574)
    %949 = torch.aten.div.Scalar %948, %int1048576 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc574)
    %950 = torch.aten.to.dtype %949, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc574)
    %951 = torch.aten.sum.dim_IntList %942, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc575)
    %952 = torch.aten.div.Scalar %951, %int1048576 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc575)
    %953 = torch.aten.add.Scalar %950, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc576)
    %954 = torch.aten.rsqrt %953 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc577)
    %955 = torch.aten.sub.Tensor %942, %952, %int1 : !torch.vtensor<[1,32,4,262144],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc578)
    %956 = torch.aten.mul.Tensor %955, %954 : !torch.vtensor<[1,32,4,262144],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc579)
    %957 = torch.aten.view %956, %876 : !torch.vtensor<[1,32,4,262144],f32>, !torch.list<int> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc580)
    %958 = torch.aten.unsqueeze %11, %int-1 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor<[128,1],f32> loc(#loc581)
    %959 = torch.aten.unsqueeze %958, %int-1 : !torch.vtensor<[128,1],f32>, !torch.int -> !torch.vtensor<[128,1,1],f32> loc(#loc582)
    %960 = torch.aten.mul.Tensor %957, %959 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,1,1],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc583)
    %961 = torch.aten.unsqueeze %10, %int-1 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor<[128,1],f32> loc(#loc584)
    %962 = torch.aten.unsqueeze %961, %int-1 : !torch.vtensor<[128,1],f32>, !torch.int -> !torch.vtensor<[128,1,1],f32> loc(#loc585)
    %963 = torch.aten.add.Tensor %960, %962, %int1 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,1,1],f32>, !torch.int -> !torch.vtensor<[1,128,512,512],f32> loc(#loc586)
    %964 = torch.aten.sigmoid %963 : !torch.vtensor<[1,128,512,512],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc587)
    %965 = torch.aten.mul.Tensor %964, %963 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[1,128,512,512],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc587)
    %966 = torch.aten.convolution %965, %9, %8, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,128,3,3],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,512,512],f32> loc(#loc588)
    %967 = torch.aten.view %966, %860 : !torch.vtensor<[1,128,512,512],f32>, !torch.list<int> -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc589)
    %968 = torch.aten.to.dtype %967, %int7, %false, %false, %none : !torch.vtensor<[1,32,4,262144],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc590)
    %969 = torch.aten.sum.dim_IntList %968, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc590)
    %970 = torch.aten.div.Scalar %969, %int1048576 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc590)
    %971 = torch.aten.sub.Tensor %968, %970, %float1.000000e00 : !torch.vtensor<[1,32,4,262144],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc590)
    %972 = torch.aten.mul.Tensor %971, %971 : !torch.vtensor<[1,32,4,262144],f64>, !torch.vtensor<[1,32,4,262144],f64> -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc590)
    %973 = torch.aten.sum.dim_IntList %972, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc590)
    %974 = torch.aten.div.Scalar %973, %int1048576 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc590)
    %975 = torch.aten.to.dtype %974, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc590)
    %976 = torch.aten.sum.dim_IntList %967, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc591)
    %977 = torch.aten.div.Scalar %976, %int1048576 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc591)
    %978 = torch.aten.add.Scalar %975, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc592)
    %979 = torch.aten.rsqrt %978 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc593)
    %980 = torch.aten.sub.Tensor %967, %977, %int1 : !torch.vtensor<[1,32,4,262144],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc594)
    %981 = torch.aten.mul.Tensor %980, %979 : !torch.vtensor<[1,32,4,262144],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc595)
    %982 = torch.aten.view %981, %876 : !torch.vtensor<[1,32,4,262144],f32>, !torch.list<int> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc596)
    %983 = torch.aten.unsqueeze %7, %int-1 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor<[128,1],f32> loc(#loc597)
    %984 = torch.aten.unsqueeze %983, %int-1 : !torch.vtensor<[128,1],f32>, !torch.int -> !torch.vtensor<[128,1,1],f32> loc(#loc598)
    %985 = torch.aten.mul.Tensor %982, %984 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,1,1],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc599)
    %986 = torch.aten.unsqueeze %6, %int-1 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor<[128,1],f32> loc(#loc600)
    %987 = torch.aten.unsqueeze %986, %int-1 : !torch.vtensor<[128,1],f32>, !torch.int -> !torch.vtensor<[128,1,1],f32> loc(#loc601)
    %988 = torch.aten.add.Tensor %985, %987, %int1 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,1,1],f32>, !torch.int -> !torch.vtensor<[1,128,512,512],f32> loc(#loc602)
    %989 = torch.aten.sigmoid %988 : !torch.vtensor<[1,128,512,512],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc603)
    %990 = torch.aten.mul.Tensor %989, %988 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[1,128,512,512],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc603)
    %991 = torch.aten.convolution %990, %5, %4, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,128,3,3],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,512,512],f32> loc(#loc604)
    %992 = torch.aten.add.Tensor %941, %991, %int1 : !torch.vtensor<[1,128,?,?],f32>, !torch.vtensor<[1,128,512,512],f32>, !torch.int -> !torch.vtensor<[1,128,?,?],f32> loc(#loc605)
    %993 = torch.aten.div.Scalar %992, %float1.000000e00 : !torch.vtensor<[1,128,?,?],f32>, !torch.float -> !torch.vtensor<[1,128,?,?],f32> loc(#loc606)
    %994 = torch.aten.view %993, %860 : !torch.vtensor<[1,128,?,?],f32>, !torch.list<int> -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc607)
    %995 = torch.aten.to.dtype %994, %int7, %false, %false, %none : !torch.vtensor<[1,32,4,262144],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc608)
    %996 = torch.aten.sum.dim_IntList %995, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc608)
    %997 = torch.aten.div.Scalar %996, %int1048576 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc608)
    %998 = torch.aten.sub.Tensor %995, %997, %float1.000000e00 : !torch.vtensor<[1,32,4,262144],f64>, !torch.vtensor<[1,32,1,1],f64>, !torch.float -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc608)
    %999 = torch.aten.mul.Tensor %998, %998 : !torch.vtensor<[1,32,4,262144],f64>, !torch.vtensor<[1,32,4,262144],f64> -> !torch.vtensor<[1,32,4,262144],f64> loc(#loc608)
    %1000 = torch.aten.sum.dim_IntList %999, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f64> loc(#loc608)
    %1001 = torch.aten.div.Scalar %1000, %int1048576 : !torch.vtensor<[1,32,1,1],f64>, !torch.int -> !torch.vtensor<[1,32,1,1],f64> loc(#loc608)
    %1002 = torch.aten.to.dtype %1001, %int6, %false, %false, %none : !torch.vtensor<[1,32,1,1],f64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc608)
    %1003 = torch.aten.sum.dim_IntList %994, %146, %true, %none : !torch.vtensor<[1,32,4,262144],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,32,1,1],f32> loc(#loc609)
    %1004 = torch.aten.div.Scalar %1003, %int1048576 : !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc609)
    %1005 = torch.aten.add.Scalar %1002, %float9.999990e-07, %int1 : !torch.vtensor<[1,32,1,1],f32>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1],f32> loc(#loc610)
    %1006 = torch.aten.rsqrt %1005 : !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,1,1],f32> loc(#loc611)
    %1007 = torch.aten.sub.Tensor %994, %1004, %int1 : !torch.vtensor<[1,32,4,262144],f32>, !torch.vtensor<[1,32,1,1],f32>, !torch.int -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc612)
    %1008 = torch.aten.mul.Tensor %1007, %1006 : !torch.vtensor<[1,32,4,262144],f32>, !torch.vtensor<[1,32,1,1],f32> -> !torch.vtensor<[1,32,4,262144],f32> loc(#loc613)
    %1009 = torch.aten.view %1008, %876 : !torch.vtensor<[1,32,4,262144],f32>, !torch.list<int> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc614)
    %1010 = torch.aten.unsqueeze %3, %int-1 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor<[128,1],f32> loc(#loc615)
    %1011 = torch.aten.unsqueeze %1010, %int-1 : !torch.vtensor<[128,1],f32>, !torch.int -> !torch.vtensor<[128,1,1],f32> loc(#loc616)
    %1012 = torch.aten.mul.Tensor %1009, %1011 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,1,1],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc617)
    %1013 = torch.aten.unsqueeze %2, %int-1 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor<[128,1],f32> loc(#loc618)
    %1014 = torch.aten.unsqueeze %1013, %int-1 : !torch.vtensor<[128,1],f32>, !torch.int -> !torch.vtensor<[128,1,1],f32> loc(#loc619)
    %1015 = torch.aten.add.Tensor %1012, %1014, %int1 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[128,1,1],f32>, !torch.int -> !torch.vtensor<[1,128,512,512],f32> loc(#loc620)
    %1016 = torch.aten.sigmoid %1015 : !torch.vtensor<[1,128,512,512],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc621)
    %1017 = torch.aten.mul.Tensor %1016, %1015 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[1,128,512,512],f32> -> !torch.vtensor<[1,128,512,512],f32> loc(#loc621)
    %1018 = torch.aten.convolution %1017, %1, %0, %140, %140, %140, %false, %141, %int1 : !torch.vtensor<[1,128,512,512],f32>, !torch.vtensor<[3,128,3,3],f32>, !torch.vtensor<[3],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,3,512,512],f32> loc(#loc622)
    return %1018 : !torch.vtensor<[1,3,512,512],f32> loc(#loc0)
  } loc(#loc0)
} loc(#loc0)
#loc1 = loc("<eval_with_key>.4":545:13)
#loc2 = loc("<eval_with_key>.4":713:61)
#loc3 = loc("<eval_with_key>.4":739:58)
#loc4 = loc("<eval_with_key>.4":714:13)
#loc5 = loc("<eval_with_key>.4":570:58)
#loc6 = loc("<eval_with_key>.4":571:13)
#loc7 = loc("<eval_with_key>.4":544:62)
#loc8 = loc("<eval_with_key>.4":11:54)
#loc9 = loc("<eval_with_key>.4":378:62)
#loc10 = loc("<eval_with_key>.4":11:58)
#loc11 = loc("<eval_with_key>.4":12:10)
#loc12 = loc("<eval_with_key>.4":555:51)
#loc13 = loc("<eval_with_key>.4":389:51)
#loc14 = loc("<eval_with_key>.4":374:73)
#loc15 = loc("<eval_with_key>.4":263:39)
#loc16 = loc("<eval_with_key>.4":125:40)
#loc17 = loc("<eval_with_key>.4":22:47)
#loc18 = loc("<eval_with_key>.4":22:42)
#loc19 = loc("<eval_with_key>.4":14:34)
#loc20 = loc("<eval_with_key>.4":12:39)
#loc21 = loc("<eval_with_key>.4":12:36)
#loc22 = loc("<eval_with_key>.4":11:50)
#loc23 = loc("<eval_with_key>.4":7:98)
#loc24 = loc("<eval_with_key>.4":7:90)
#loc25 = loc("<eval_with_key>.4":7:113)
#loc26 = loc("<eval_with_key>.4":12:69)
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