pytorch-3dunet_vaiq_int8.default.onnx.torch.elide.mlir

module {
  func.func @torch_jit(%arg0: !torch.vtensor<[1,1,64,128,128],f32>) -> !torch.vtensor<[1,1,64,128,128],f32> attributes {torch.onnx_meta.ir_version = 8 : si64, torch.onnx_meta.opset_version = 17 : si64, torch.onnx_meta.producer_name = "pytorch", torch.onnx_meta.producer_version = "1.13.1"} {
    %0 = torch.vtensor.literal(dense<8.906250e-01> : tensor<1xf32>) : !torch.vtensor<[1],f32>
    %1 = torch.vtensor.literal(dense<-0.0849609375> : tensor<1xf32>) : !torch.vtensor<[1],f32>
    %2 = torch.vtensor.literal(dense_resource<__elided__> : tensor<16x1x3x3x3xf32>) : !torch.vtensor<[16,1,3,3,3],f32>
    %3 = torch.vtensor.literal(dense_resource<__elided__> : tensor<16xf32>) : !torch.vtensor<[16],f32>
    %4 = torch.vtensor.literal(dense_resource<__elided__> : tensor<16xf32>) : !torch.vtensor<[16],f32>
    %5 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x16x3x3x3xf32>) : !torch.vtensor<[32,16,3,3,3],f32>
    %6 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
    %7 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
    %8 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x32x3x3x3xf32>) : !torch.vtensor<[32,32,3,3,3],f32>
    %9 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
    %10 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
    %11 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x32x3x3x3xf32>) : !torch.vtensor<[64,32,3,3,3],f32>
    %12 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %13 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %14 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3x3xf32>) : !torch.vtensor<[64,64,3,3,3],f32>
    %15 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %16 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %17 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x64x3x3x3xf32>) : !torch.vtensor<[128,64,3,3,3],f32>
    %18 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %19 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %20 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x128x3x3x3xf32>) : !torch.vtensor<[128,128,3,3,3],f32>
    %21 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %22 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %23 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x128x3x3x3xf32>) : !torch.vtensor<[256,128,3,3,3],f32>
    %24 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384xf32>) : !torch.vtensor<[384],f32>
    %25 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384xf32>) : !torch.vtensor<[384],f32>
    %26 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x384x3x3x3xf32>) : !torch.vtensor<[128,384,3,3,3],f32>
    %27 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %28 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %29 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x128x3x3x3xf32>) : !torch.vtensor<[128,128,3,3,3],f32>
    %30 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
    %31 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
    %32 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x192x3x3x3xf32>) : !torch.vtensor<[64,192,3,3,3],f32>
    %33 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %34 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %35 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3x3xf32>) : !torch.vtensor<[64,64,3,3,3],f32>
    %36 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
    %37 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
    %38 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x96x3x3x3xf32>) : !torch.vtensor<[32,96,3,3,3],f32>
    %39 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
    %40 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
    %41 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x32x3x3x3xf32>) : !torch.vtensor<[32,32,3,3,3],f32>
    %42 = torch.vtensor.literal(dense_resource<__elided__> : tensor<1x32x1x1x1xf32>) : !torch.vtensor<[1,32,1,1,1],f32>
    %43 = torch.vtensor.literal(dense<-0.142578125> : tensor<1xf32>) : !torch.vtensor<[1],f32>
    %none = torch.constant.none
    %44 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %45 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12 = torch.constant.int 12
    %46 = torch.aten.item %44 : !torch.vtensor<[],f32> -> !torch.float
    %47 = torch.aten.item %45 : !torch.vtensor<[],si8> -> !torch.int
    %48 = torch.aten.quantize_per_tensor %arg0, %46, %47, %int12 : !torch.vtensor<[1,1,64,128,128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,1,64,128,128],!torch.qint8>
    %49 = torch.aten.int_repr %48 : !torch.vtensor<[1,1,64,128,128],!torch.qint8> -> !torch.vtensor<[1,1,64,128,128],si8>
    %50 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %51 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %52 = torch.aten.item %50 : !torch.vtensor<[],f32> -> !torch.float
    %53 = torch.aten.item %51 : !torch.vtensor<[],si8> -> !torch.int
    %54 = torch.aten._make_per_tensor_quantized_tensor %49, %52, %53 : !torch.vtensor<[1,1,64,128,128],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,1,64,128,128],!torch.qint8>
    %55 = torch.aten.dequantize.self %54 : !torch.vtensor<[1,1,64,128,128],!torch.qint8> -> !torch.vtensor<[1,1,64,128,128],f32>
    %56 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %57 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_0 = torch.constant.int 12
    %58 = torch.aten.item %56 : !torch.vtensor<[],f32> -> !torch.float
    %59 = torch.aten.item %57 : !torch.vtensor<[],si8> -> !torch.int
    %60 = torch.aten.quantize_per_tensor %0, %58, %59, %int12_0 : !torch.vtensor<[1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1],!torch.qint8>
    %61 = torch.aten.int_repr %60 : !torch.vtensor<[1],!torch.qint8> -> !torch.vtensor<[1],si8>
    %62 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %63 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %64 = torch.aten.item %62 : !torch.vtensor<[],f32> -> !torch.float
    %65 = torch.aten.item %63 : !torch.vtensor<[],si8> -> !torch.int
    %66 = torch.aten._make_per_tensor_quantized_tensor %61, %64, %65 : !torch.vtensor<[1],si8>, !torch.float, !torch.int -> !torch.vtensor<[1],!torch.qint8>
    %67 = torch.aten.dequantize.self %66 : !torch.vtensor<[1],!torch.qint8> -> !torch.vtensor<[1],f32>
    %68 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %69 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1 = torch.constant.int 12
    %70 = torch.aten.item %68 : !torch.vtensor<[],f32> -> !torch.float
    %71 = torch.aten.item %69 : !torch.vtensor<[],si8> -> !torch.int
    %72 = torch.aten.quantize_per_tensor %1, %70, %71, %int12_1 : !torch.vtensor<[1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1],!torch.qint8>
    %73 = torch.aten.int_repr %72 : !torch.vtensor<[1],!torch.qint8> -> !torch.vtensor<[1],si8>
    %74 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %75 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %76 = torch.aten.item %74 : !torch.vtensor<[],f32> -> !torch.float
    %77 = torch.aten.item %75 : !torch.vtensor<[],si8> -> !torch.int
    %78 = torch.aten._make_per_tensor_quantized_tensor %73, %76, %77 : !torch.vtensor<[1],si8>, !torch.float, !torch.int -> !torch.vtensor<[1],!torch.qint8>
    %79 = torch.aten.dequantize.self %78 : !torch.vtensor<[1],!torch.qint8> -> !torch.vtensor<[1],f32>
    %80 = torch.vtensor.literal(dense<[0, 1, -1]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int1 = torch.constant.int 1
    %int1_2 = torch.constant.int 1
    %int1048576 = torch.constant.int 1048576
    %81 = torch.prim.ListConstruct %int1, %int1_2, %int1048576 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %82 = torch.aten.reshape %55, %81 : !torch.vtensor<[1,1,64,128,128],f32>, !torch.list<int> -> !torch.vtensor<[1,1,1048576],f32>
    %83 = torch.vtensor.literal(dense<1.000000e+00> : tensor<1xf32>) : !torch.vtensor<[1],f32>
    %84 = torch.vtensor.literal(dense<0.000000e+00> : tensor<1xf32>) : !torch.vtensor<[1],f32>
    %none_3 = torch.constant.none
    %true = torch.constant.bool true
    %false = torch.constant.bool false
    %float9.999990e-06 = torch.constant.float 9.9999997473787516E-6
    %float0.000000e00 = torch.constant.float 0.000000e+00
    %85 = torch.aten.instance_norm %82, %83, %84, %none_3, %none_3, %true, %float0.000000e00, %float9.999990e-06, %false : !torch.vtensor<[1,1,1048576],f32>, !torch.vtensor<[1],f32>, !torch.vtensor<[1],f32>, !torch.none, !torch.none, !torch.bool, !torch.float, !torch.float, !torch.bool -> !torch.vtensor<[1,1,1048576],f32>
    %86 = torch.aten._shape_as_tensor %55 : !torch.vtensor<[1,1,64,128,128],f32> -> !torch.vtensor<[5],si64>
    %int0 = torch.constant.int 0
    %int0_4 = torch.constant.int 0
    %87 = torch.aten.select.int %86, %int0, %int0_4 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %88 = torch.aten.item %87 : !torch.vtensor<[1],si64> -> !torch.int
    %89 = torch.aten.eq.int %88, %int0 : !torch.int, !torch.int -> !torch.bool
    %90 = torch.aten.Int.bool %89 : !torch.bool -> !torch.int
    %int0_5 = torch.constant.int 0
    %91 = torch.aten.size.int %85, %int0_5 : !torch.vtensor<[1,1,1048576],f32>, !torch.int -> !torch.int
    %92 = torch.prim.NumToTensor.Scalar %90 : !torch.int -> !torch.vtensor<[],i1>
    %93 = torch.prim.NumToTensor.Scalar %91 : !torch.int -> !torch.vtensor<[],si64>
    %94 = torch.prim.NumToTensor.Scalar %88 : !torch.int -> !torch.vtensor<[],si64>
    %95 = torch.aten.where.self %92, %93, %94 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %96 = torch.aten.item %95 : !torch.vtensor<[],si64> -> !torch.int
    %int1_6 = torch.constant.int 1
    %97 = torch.aten.select.int %86, %int0, %int1_6 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %98 = torch.aten.item %97 : !torch.vtensor<[1],si64> -> !torch.int
    %99 = torch.aten.eq.int %98, %int0 : !torch.int, !torch.int -> !torch.bool
    %100 = torch.aten.Int.bool %99 : !torch.bool -> !torch.int
    %int1_7 = torch.constant.int 1
    %101 = torch.aten.size.int %85, %int1_7 : !torch.vtensor<[1,1,1048576],f32>, !torch.int -> !torch.int
    %102 = torch.prim.NumToTensor.Scalar %100 : !torch.int -> !torch.vtensor<[],i1>
    %103 = torch.prim.NumToTensor.Scalar %101 : !torch.int -> !torch.vtensor<[],si64>
    %104 = torch.prim.NumToTensor.Scalar %98 : !torch.int -> !torch.vtensor<[],si64>
    %105 = torch.aten.where.self %102, %103, %104 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %106 = torch.aten.item %105 : !torch.vtensor<[],si64> -> !torch.int
    %int2 = torch.constant.int 2
    %107 = torch.aten.select.int %86, %int0, %int2 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %108 = torch.aten.item %107 : !torch.vtensor<[1],si64> -> !torch.int
    %109 = torch.aten.eq.int %108, %int0 : !torch.int, !torch.int -> !torch.bool
    %110 = torch.aten.Int.bool %109 : !torch.bool -> !torch.int
    %int2_8 = torch.constant.int 2
    %111 = torch.aten.size.int %85, %int2_8 : !torch.vtensor<[1,1,1048576],f32>, !torch.int -> !torch.int
    %112 = torch.prim.NumToTensor.Scalar %110 : !torch.int -> !torch.vtensor<[],i1>
    %113 = torch.prim.NumToTensor.Scalar %111 : !torch.int -> !torch.vtensor<[],si64>
    %114 = torch.prim.NumToTensor.Scalar %108 : !torch.int -> !torch.vtensor<[],si64>
    %115 = torch.aten.where.self %112, %113, %114 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %116 = torch.aten.item %115 : !torch.vtensor<[],si64> -> !torch.int
    %int3 = torch.constant.int 3
    %117 = torch.aten.select.int %86, %int0, %int3 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %118 = torch.aten.item %117 : !torch.vtensor<[1],si64> -> !torch.int
    %119 = torch.aten.eq.int %118, %int0 : !torch.int, !torch.int -> !torch.bool
    %120 = torch.aten.Int.bool %119 : !torch.bool -> !torch.int
    %int4 = torch.constant.int 4
    %121 = torch.aten.select.int %86, %int0, %int4 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %122 = torch.aten.item %121 : !torch.vtensor<[1],si64> -> !torch.int
    %123 = torch.aten.eq.int %122, %int0 : !torch.int, !torch.int -> !torch.bool
    %124 = torch.aten.Int.bool %123 : !torch.bool -> !torch.int
    %125 = torch.prim.ListConstruct %96, %106, %116, %118, %122 : (!torch.int, !torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %126 = torch.aten.reshape %85, %125 : !torch.vtensor<[1,1,1048576],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?,?,?],f32>
    %127 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_9 = torch.constant.int 0
    %int1_10 = torch.constant.int 1
    %int0_11 = torch.constant.int 0
    %128 = torch.aten.select.int %127, %int0_9, %int0_11 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %129 = torch.aten.item %128 : !torch.vtensor<[1],si64> -> !torch.int
    %130 = torch.aten.lt.int %129, %int0_9 : !torch.int, !torch.int -> !torch.bool
    %131 = torch.aten.Int.bool %130 : !torch.bool -> !torch.int
    %132 = torch.aten.mul.int %131, %int1_10 : !torch.int, !torch.int -> !torch.int
    %133 = torch.aten.add.int %129, %132 : !torch.int, !torch.int -> !torch.int
    %int1_12 = torch.constant.int 1
    %134 = torch.aten.select.int %127, %int0_9, %int1_12 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %135 = torch.aten.item %134 : !torch.vtensor<[1],si64> -> !torch.int
    %136 = torch.aten.lt.int %135, %int0_9 : !torch.int, !torch.int -> !torch.bool
    %137 = torch.aten.Int.bool %136 : !torch.bool -> !torch.int
    %138 = torch.aten.mul.int %137, %int1_10 : !torch.int, !torch.int -> !torch.int
    %139 = torch.aten.add.int %135, %138 : !torch.int, !torch.int -> !torch.int
    %int2_13 = torch.constant.int 2
    %140 = torch.aten.select.int %127, %int0_9, %int2_13 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %141 = torch.aten.item %140 : !torch.vtensor<[1],si64> -> !torch.int
    %142 = torch.aten.lt.int %141, %int0_9 : !torch.int, !torch.int -> !torch.bool
    %143 = torch.aten.Int.bool %142 : !torch.bool -> !torch.int
    %144 = torch.aten.mul.int %143, %int1_10 : !torch.int, !torch.int -> !torch.int
    %145 = torch.aten.add.int %141, %144 : !torch.int, !torch.int -> !torch.int
    %146 = torch.prim.ListConstruct %133, %139, %145 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_14 = torch.constant.bool false
    %none_15 = torch.constant.none
    %147 = torch.aten.tensor %146, %none_15, %none_15, %false_14 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values, %indices = torch.aten.sort %147, %int0_9, %false_14 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_16 = torch.constant.int 0
    %148 = torch.aten.select.int %values, %int0_9, %int0_16 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %149 = torch.aten.item %148 : !torch.vtensor<[1],si64> -> !torch.int
    %150 = torch.aten.unsqueeze %67, %149 : !torch.vtensor<[1],f32>, !torch.int -> !torch.vtensor
    %int1_17 = torch.constant.int 1
    %151 = torch.aten.select.int %values, %int0_9, %int1_17 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %152 = torch.aten.item %151 : !torch.vtensor<[1],si64> -> !torch.int
    %153 = torch.aten.unsqueeze %150, %152 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_18 = torch.constant.int 2
    %154 = torch.aten.select.int %values, %int0_9, %int2_18 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %155 = torch.aten.item %154 : !torch.vtensor<[1],si64> -> !torch.int
    %156 = torch.aten.unsqueeze %153, %155 : !torch.vtensor, !torch.int -> !torch.vtensor<[1,1,1,1],f32>
    %157 = torch.aten.mul.Tensor %126, %156 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.vtensor<[1,1,1,1],f32> -> !torch.vtensor<[?,?,?,?,?],f32>
    %158 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_19 = torch.constant.int 0
    %int1_20 = torch.constant.int 1
    %int0_21 = torch.constant.int 0
    %159 = torch.aten.select.int %158, %int0_19, %int0_21 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %160 = torch.aten.item %159 : !torch.vtensor<[1],si64> -> !torch.int
    %161 = torch.aten.lt.int %160, %int0_19 : !torch.int, !torch.int -> !torch.bool
    %162 = torch.aten.Int.bool %161 : !torch.bool -> !torch.int
    %163 = torch.aten.mul.int %162, %int1_20 : !torch.int, !torch.int -> !torch.int
    %164 = torch.aten.add.int %160, %163 : !torch.int, !torch.int -> !torch.int
    %int1_22 = torch.constant.int 1
    %165 = torch.aten.select.int %158, %int0_19, %int1_22 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %166 = torch.aten.item %165 : !torch.vtensor<[1],si64> -> !torch.int
    %167 = torch.aten.lt.int %166, %int0_19 : !torch.int, !torch.int -> !torch.bool
    %168 = torch.aten.Int.bool %167 : !torch.bool -> !torch.int
    %169 = torch.aten.mul.int %168, %int1_20 : !torch.int, !torch.int -> !torch.int
    %170 = torch.aten.add.int %166, %169 : !torch.int, !torch.int -> !torch.int
    %int2_23 = torch.constant.int 2
    %171 = torch.aten.select.int %158, %int0_19, %int2_23 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %172 = torch.aten.item %171 : !torch.vtensor<[1],si64> -> !torch.int
    %173 = torch.aten.lt.int %172, %int0_19 : !torch.int, !torch.int -> !torch.bool
    %174 = torch.aten.Int.bool %173 : !torch.bool -> !torch.int
    %175 = torch.aten.mul.int %174, %int1_20 : !torch.int, !torch.int -> !torch.int
    %176 = torch.aten.add.int %172, %175 : !torch.int, !torch.int -> !torch.int
    %177 = torch.prim.ListConstruct %164, %170, %176 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_24 = torch.constant.bool false
    %none_25 = torch.constant.none
    %178 = torch.aten.tensor %177, %none_25, %none_25, %false_24 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_26, %indices_27 = torch.aten.sort %178, %int0_19, %false_24 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_28 = torch.constant.int 0
    %179 = torch.aten.select.int %values_26, %int0_19, %int0_28 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %180 = torch.aten.item %179 : !torch.vtensor<[1],si64> -> !torch.int
    %181 = torch.aten.unsqueeze %79, %180 : !torch.vtensor<[1],f32>, !torch.int -> !torch.vtensor
    %int1_29 = torch.constant.int 1
    %182 = torch.aten.select.int %values_26, %int0_19, %int1_29 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %183 = torch.aten.item %182 : !torch.vtensor<[1],si64> -> !torch.int
    %184 = torch.aten.unsqueeze %181, %183 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_30 = torch.constant.int 2
    %185 = torch.aten.select.int %values_26, %int0_19, %int2_30 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %186 = torch.aten.item %185 : !torch.vtensor<[1],si64> -> !torch.int
    %187 = torch.aten.unsqueeze %184, %186 : !torch.vtensor, !torch.int -> !torch.vtensor<[1,1,1,1],f32>
    %int1_31 = torch.constant.int 1
    %188 = torch.aten.add.Tensor %157, %187, %int1_31 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.vtensor<[1,1,1,1],f32>, !torch.int -> !torch.vtensor<[?,?,?,?,?],f32>
    %189 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %190 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_32 = torch.constant.int 12
    %191 = torch.aten.item %189 : !torch.vtensor<[],f32> -> !torch.float
    %192 = torch.aten.item %190 : !torch.vtensor<[],si8> -> !torch.int
    %193 = torch.aten.quantize_per_tensor %188, %191, %192, %int12_32 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,?,?,?,?],!torch.qint8>
    %194 = torch.aten.int_repr %193 : !torch.vtensor<[?,?,?,?,?],!torch.qint8> -> !torch.vtensor<[?,?,?,?,?],si8>
    %195 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %196 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %197 = torch.aten.item %195 : !torch.vtensor<[],f32> -> !torch.float
    %198 = torch.aten.item %196 : !torch.vtensor<[],si8> -> !torch.int
    %199 = torch.aten._make_per_tensor_quantized_tensor %194, %197, %198 : !torch.vtensor<[?,?,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,?,?,?,?],!torch.qint8>
    %200 = torch.aten.dequantize.self %199 : !torch.vtensor<[?,?,?,?,?],!torch.qint8> -> !torch.vtensor<[?,?,?,?,?],f32>
    %201 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %202 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_33 = torch.constant.int 12
    %203 = torch.aten.item %201 : !torch.vtensor<[],f32> -> !torch.float
    %204 = torch.aten.item %202 : !torch.vtensor<[],si8> -> !torch.int
    %205 = torch.aten.quantize_per_tensor %2, %203, %204, %int12_33 : !torch.vtensor<[16,1,3,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[16,1,3,3,3],!torch.qint8>
    %206 = torch.aten.int_repr %205 : !torch.vtensor<[16,1,3,3,3],!torch.qint8> -> !torch.vtensor<[16,1,3,3,3],si8>
    %207 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %208 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %209 = torch.aten.item %207 : !torch.vtensor<[],f32> -> !torch.float
    %210 = torch.aten.item %208 : !torch.vtensor<[],si8> -> !torch.int
    %211 = torch.aten._make_per_tensor_quantized_tensor %206, %209, %210 : !torch.vtensor<[16,1,3,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[16,1,3,3,3],!torch.qint8>
    %212 = torch.aten.dequantize.self %211 : !torch.vtensor<[16,1,3,3,3],!torch.qint8> -> !torch.vtensor<[16,1,3,3,3],f32>
    %int1_34 = torch.constant.int 1
    %int1_35 = torch.constant.int 1
    %int1_36 = torch.constant.int 1
    %int1_37 = torch.constant.int 1
    %int1_38 = torch.constant.int 1
    %int1_39 = torch.constant.int 1
    %int1_40 = torch.constant.int 1
    %int1_41 = torch.constant.int 1
    %int1_42 = torch.constant.int 1
    %int0_43 = torch.constant.int 0
    %213 = torch.prim.ListConstruct %int1_34, %int1_35, %int1_36 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %214 = torch.prim.ListConstruct %int1_37, %int1_38, %int1_39 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %215 = torch.prim.ListConstruct %int1_40, %int1_41, %int1_42 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %216 = torch.prim.ListConstruct %int0_43, %int0_43 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_44 = torch.constant.bool false
    %none_45 = torch.constant.none
    %int1_46 = torch.constant.int 1
    %217 = torch.aten.convolution %200, %212, %none_45, %215, %213, %214, %false_44, %216, %int1_46 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.vtensor<[16,1,3,3,3],f32>, !torch.none, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[?,16,?,?,?],f32>
    %218 = torch.aten.relu %217 : !torch.vtensor<[?,16,?,?,?],f32> -> !torch.vtensor<[?,16,?,?,?],f32>
    %219 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %220 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_47 = torch.constant.int 12
    %221 = torch.aten.item %219 : !torch.vtensor<[],f32> -> !torch.float
    %222 = torch.aten.item %220 : !torch.vtensor<[],si8> -> !torch.int
    %223 = torch.aten.quantize_per_tensor %218, %221, %222, %int12_47 : !torch.vtensor<[?,16,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,16,?,?,?],!torch.qint8>
    %224 = torch.aten.int_repr %223 : !torch.vtensor<[?,16,?,?,?],!torch.qint8> -> !torch.vtensor<[?,16,?,?,?],si8>
    %225 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %226 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %227 = torch.aten.item %225 : !torch.vtensor<[],f32> -> !torch.float
    %228 = torch.aten.item %226 : !torch.vtensor<[],si8> -> !torch.int
    %229 = torch.aten._make_per_tensor_quantized_tensor %224, %227, %228 : !torch.vtensor<[?,16,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,16,?,?,?],!torch.qint8>
    %230 = torch.aten.dequantize.self %229 : !torch.vtensor<[?,16,?,?,?],!torch.qint8> -> !torch.vtensor<[?,16,?,?,?],f32>
    %231 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %232 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_48 = torch.constant.int 12
    %233 = torch.aten.item %231 : !torch.vtensor<[],f32> -> !torch.float
    %234 = torch.aten.item %232 : !torch.vtensor<[],si8> -> !torch.int
    %235 = torch.aten.quantize_per_tensor %3, %233, %234, %int12_48 : !torch.vtensor<[16],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[16],!torch.qint8>
    %236 = torch.aten.int_repr %235 : !torch.vtensor<[16],!torch.qint8> -> !torch.vtensor<[16],si8>
    %237 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %238 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %239 = torch.aten.item %237 : !torch.vtensor<[],f32> -> !torch.float
    %240 = torch.aten.item %238 : !torch.vtensor<[],si8> -> !torch.int
    %241 = torch.aten._make_per_tensor_quantized_tensor %236, %239, %240 : !torch.vtensor<[16],si8>, !torch.float, !torch.int -> !torch.vtensor<[16],!torch.qint8>
    %242 = torch.aten.dequantize.self %241 : !torch.vtensor<[16],!torch.qint8> -> !torch.vtensor<[16],f32>
    %243 = torch.vtensor.literal(dense<4.8828125E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %244 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_49 = torch.constant.int 12
    %245 = torch.aten.item %243 : !torch.vtensor<[],f32> -> !torch.float
    %246 = torch.aten.item %244 : !torch.vtensor<[],si8> -> !torch.int
    %247 = torch.aten.quantize_per_tensor %4, %245, %246, %int12_49 : !torch.vtensor<[16],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[16],!torch.qint8>
    %248 = torch.aten.int_repr %247 : !torch.vtensor<[16],!torch.qint8> -> !torch.vtensor<[16],si8>
    %249 = torch.vtensor.literal(dense<4.8828125E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %250 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %251 = torch.aten.item %249 : !torch.vtensor<[],f32> -> !torch.float
    %252 = torch.aten.item %250 : !torch.vtensor<[],si8> -> !torch.int
    %253 = torch.aten._make_per_tensor_quantized_tensor %248, %251, %252 : !torch.vtensor<[16],si8>, !torch.float, !torch.int -> !torch.vtensor<[16],!torch.qint8>
    %254 = torch.aten.dequantize.self %253 : !torch.vtensor<[16],!torch.qint8> -> !torch.vtensor<[16],f32>
    %255 = torch.vtensor.literal(dense<[0, 8, -1]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_50 = torch.constant.int 0
    %int0_51 = torch.constant.int 0
    %256 = torch.aten.select.int %255, %int0_50, %int0_51 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %257 = torch.aten.item %256 : !torch.vtensor<[1],si64> -> !torch.int
    %258 = torch.aten.eq.int %257, %int0_50 : !torch.int, !torch.int -> !torch.bool
    %259 = torch.aten.Int.bool %258 : !torch.bool -> !torch.int
    %int0_52 = torch.constant.int 0
    %260 = torch.aten.size.int %230, %int0_52 : !torch.vtensor<[?,16,?,?,?],f32>, !torch.int -> !torch.int
    %261 = torch.prim.NumToTensor.Scalar %259 : !torch.int -> !torch.vtensor<[],i1>
    %262 = torch.prim.NumToTensor.Scalar %260 : !torch.int -> !torch.vtensor<[],si64>
    %263 = torch.prim.NumToTensor.Scalar %257 : !torch.int -> !torch.vtensor<[],si64>
    %264 = torch.aten.where.self %261, %262, %263 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %265 = torch.aten.item %264 : !torch.vtensor<[],si64> -> !torch.int
    %int1_53 = torch.constant.int 1
    %266 = torch.aten.select.int %255, %int0_50, %int1_53 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %267 = torch.aten.item %266 : !torch.vtensor<[1],si64> -> !torch.int
    %268 = torch.aten.eq.int %267, %int0_50 : !torch.int, !torch.int -> !torch.bool
    %269 = torch.aten.Int.bool %268 : !torch.bool -> !torch.int
    %int1_54 = torch.constant.int 1
    %270 = torch.aten.size.int %230, %int1_54 : !torch.vtensor<[?,16,?,?,?],f32>, !torch.int -> !torch.int
    %271 = torch.prim.NumToTensor.Scalar %269 : !torch.int -> !torch.vtensor<[],i1>
    %272 = torch.prim.NumToTensor.Scalar %270 : !torch.int -> !torch.vtensor<[],si64>
    %273 = torch.prim.NumToTensor.Scalar %267 : !torch.int -> !torch.vtensor<[],si64>
    %274 = torch.aten.where.self %271, %272, %273 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %275 = torch.aten.item %274 : !torch.vtensor<[],si64> -> !torch.int
    %int2_55 = torch.constant.int 2
    %276 = torch.aten.select.int %255, %int0_50, %int2_55 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %277 = torch.aten.item %276 : !torch.vtensor<[1],si64> -> !torch.int
    %278 = torch.aten.eq.int %277, %int0_50 : !torch.int, !torch.int -> !torch.bool
    %279 = torch.aten.Int.bool %278 : !torch.bool -> !torch.int
    %int2_56 = torch.constant.int 2
    %280 = torch.aten.size.int %230, %int2_56 : !torch.vtensor<[?,16,?,?,?],f32>, !torch.int -> !torch.int
    %281 = torch.prim.NumToTensor.Scalar %279 : !torch.int -> !torch.vtensor<[],i1>
    %282 = torch.prim.NumToTensor.Scalar %280 : !torch.int -> !torch.vtensor<[],si64>
    %283 = torch.prim.NumToTensor.Scalar %277 : !torch.int -> !torch.vtensor<[],si64>
    %284 = torch.aten.where.self %281, %282, %283 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %285 = torch.aten.item %284 : !torch.vtensor<[],si64> -> !torch.int
    %286 = torch.prim.ListConstruct %265, %275, %285 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %287 = torch.aten.reshape %230, %286 : !torch.vtensor<[?,16,?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[?,8,?],f32>
    %288 = torch.vtensor.literal(dense<1.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %289 = torch.vtensor.literal(dense<0.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %none_57 = torch.constant.none
    %true_58 = torch.constant.bool true
    %false_59 = torch.constant.bool false
    %float9.999990e-06_60 = torch.constant.float 9.9999997473787516E-6
    %float0.000000e00_61 = torch.constant.float 0.000000e+00
    %290 = torch.aten.instance_norm %287, %288, %289, %none_57, %none_57, %true_58, %float0.000000e00_61, %float9.999990e-06_60, %false_59 : !torch.vtensor<[?,8,?],f32>, !torch.vtensor<[8],f32>, !torch.vtensor<[8],f32>, !torch.none, !torch.none, !torch.bool, !torch.float, !torch.float, !torch.bool -> !torch.vtensor<[?,8,?],f32>
    %291 = torch.aten._shape_as_tensor %230 : !torch.vtensor<[?,16,?,?,?],f32> -> !torch.vtensor<[5],si64>
    %int0_62 = torch.constant.int 0
    %int0_63 = torch.constant.int 0
    %292 = torch.aten.select.int %291, %int0_62, %int0_63 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %293 = torch.aten.item %292 : !torch.vtensor<[1],si64> -> !torch.int
    %294 = torch.aten.eq.int %293, %int0_62 : !torch.int, !torch.int -> !torch.bool
    %295 = torch.aten.Int.bool %294 : !torch.bool -> !torch.int
    %int0_64 = torch.constant.int 0
    %296 = torch.aten.size.int %290, %int0_64 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %297 = torch.prim.NumToTensor.Scalar %295 : !torch.int -> !torch.vtensor<[],i1>
    %298 = torch.prim.NumToTensor.Scalar %296 : !torch.int -> !torch.vtensor<[],si64>
    %299 = torch.prim.NumToTensor.Scalar %293 : !torch.int -> !torch.vtensor<[],si64>
    %300 = torch.aten.where.self %297, %298, %299 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %301 = torch.aten.item %300 : !torch.vtensor<[],si64> -> !torch.int
    %int1_65 = torch.constant.int 1
    %302 = torch.aten.select.int %291, %int0_62, %int1_65 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %303 = torch.aten.item %302 : !torch.vtensor<[1],si64> -> !torch.int
    %304 = torch.aten.eq.int %303, %int0_62 : !torch.int, !torch.int -> !torch.bool
    %305 = torch.aten.Int.bool %304 : !torch.bool -> !torch.int
    %int1_66 = torch.constant.int 1
    %306 = torch.aten.size.int %290, %int1_66 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %307 = torch.prim.NumToTensor.Scalar %305 : !torch.int -> !torch.vtensor<[],i1>
    %308 = torch.prim.NumToTensor.Scalar %306 : !torch.int -> !torch.vtensor<[],si64>
    %309 = torch.prim.NumToTensor.Scalar %303 : !torch.int -> !torch.vtensor<[],si64>
    %310 = torch.aten.where.self %307, %308, %309 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %311 = torch.aten.item %310 : !torch.vtensor<[],si64> -> !torch.int
    %int2_67 = torch.constant.int 2
    %312 = torch.aten.select.int %291, %int0_62, %int2_67 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %313 = torch.aten.item %312 : !torch.vtensor<[1],si64> -> !torch.int
    %314 = torch.aten.eq.int %313, %int0_62 : !torch.int, !torch.int -> !torch.bool
    %315 = torch.aten.Int.bool %314 : !torch.bool -> !torch.int
    %int2_68 = torch.constant.int 2
    %316 = torch.aten.size.int %290, %int2_68 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %317 = torch.prim.NumToTensor.Scalar %315 : !torch.int -> !torch.vtensor<[],i1>
    %318 = torch.prim.NumToTensor.Scalar %316 : !torch.int -> !torch.vtensor<[],si64>
    %319 = torch.prim.NumToTensor.Scalar %313 : !torch.int -> !torch.vtensor<[],si64>
    %320 = torch.aten.where.self %317, %318, %319 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %321 = torch.aten.item %320 : !torch.vtensor<[],si64> -> !torch.int
    %int3_69 = torch.constant.int 3
    %322 = torch.aten.select.int %291, %int0_62, %int3_69 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %323 = torch.aten.item %322 : !torch.vtensor<[1],si64> -> !torch.int
    %324 = torch.aten.eq.int %323, %int0_62 : !torch.int, !torch.int -> !torch.bool
    %325 = torch.aten.Int.bool %324 : !torch.bool -> !torch.int
    %int4_70 = torch.constant.int 4
    %326 = torch.aten.select.int %291, %int0_62, %int4_70 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %327 = torch.aten.item %326 : !torch.vtensor<[1],si64> -> !torch.int
    %328 = torch.aten.eq.int %327, %int0_62 : !torch.int, !torch.int -> !torch.bool
    %329 = torch.aten.Int.bool %328 : !torch.bool -> !torch.int
    %330 = torch.prim.ListConstruct %301, %311, %321, %323, %327 : (!torch.int, !torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %331 = torch.aten.reshape %290, %330 : !torch.vtensor<[?,8,?],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?,?,?],f32>
    %332 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_71 = torch.constant.int 0
    %int1_72 = torch.constant.int 1
    %int0_73 = torch.constant.int 0
    %333 = torch.aten.select.int %332, %int0_71, %int0_73 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %334 = torch.aten.item %333 : !torch.vtensor<[1],si64> -> !torch.int
    %335 = torch.aten.lt.int %334, %int0_71 : !torch.int, !torch.int -> !torch.bool
    %336 = torch.aten.Int.bool %335 : !torch.bool -> !torch.int
    %337 = torch.aten.mul.int %336, %int1_72 : !torch.int, !torch.int -> !torch.int
    %338 = torch.aten.add.int %334, %337 : !torch.int, !torch.int -> !torch.int
    %int1_74 = torch.constant.int 1
    %339 = torch.aten.select.int %332, %int0_71, %int1_74 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %340 = torch.aten.item %339 : !torch.vtensor<[1],si64> -> !torch.int
    %341 = torch.aten.lt.int %340, %int0_71 : !torch.int, !torch.int -> !torch.bool
    %342 = torch.aten.Int.bool %341 : !torch.bool -> !torch.int
    %343 = torch.aten.mul.int %342, %int1_72 : !torch.int, !torch.int -> !torch.int
    %344 = torch.aten.add.int %340, %343 : !torch.int, !torch.int -> !torch.int
    %int2_75 = torch.constant.int 2
    %345 = torch.aten.select.int %332, %int0_71, %int2_75 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %346 = torch.aten.item %345 : !torch.vtensor<[1],si64> -> !torch.int
    %347 = torch.aten.lt.int %346, %int0_71 : !torch.int, !torch.int -> !torch.bool
    %348 = torch.aten.Int.bool %347 : !torch.bool -> !torch.int
    %349 = torch.aten.mul.int %348, %int1_72 : !torch.int, !torch.int -> !torch.int
    %350 = torch.aten.add.int %346, %349 : !torch.int, !torch.int -> !torch.int
    %351 = torch.prim.ListConstruct %338, %344, %350 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_76 = torch.constant.bool false
    %none_77 = torch.constant.none
    %352 = torch.aten.tensor %351, %none_77, %none_77, %false_76 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_78, %indices_79 = torch.aten.sort %352, %int0_71, %false_76 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_80 = torch.constant.int 0
    %353 = torch.aten.select.int %values_78, %int0_71, %int0_80 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %354 = torch.aten.item %353 : !torch.vtensor<[1],si64> -> !torch.int
    %355 = torch.aten.unsqueeze %242, %354 : !torch.vtensor<[16],f32>, !torch.int -> !torch.vtensor
    %int1_81 = torch.constant.int 1
    %356 = torch.aten.select.int %values_78, %int0_71, %int1_81 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %357 = torch.aten.item %356 : !torch.vtensor<[1],si64> -> !torch.int
    %358 = torch.aten.unsqueeze %355, %357 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_82 = torch.constant.int 2
    %359 = torch.aten.select.int %values_78, %int0_71, %int2_82 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %360 = torch.aten.item %359 : !torch.vtensor<[1],si64> -> !torch.int
    %361 = torch.aten.unsqueeze %358, %360 : !torch.vtensor, !torch.int -> !torch.vtensor<[16,1,1,1],f32>
    %362 = torch.aten.mul.Tensor %331, %361 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.vtensor<[16,1,1,1],f32> -> !torch.vtensor<[?,16,?,?,?],f32>
    %363 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_83 = torch.constant.int 0
    %int1_84 = torch.constant.int 1
    %int0_85 = torch.constant.int 0
    %364 = torch.aten.select.int %363, %int0_83, %int0_85 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %365 = torch.aten.item %364 : !torch.vtensor<[1],si64> -> !torch.int
    %366 = torch.aten.lt.int %365, %int0_83 : !torch.int, !torch.int -> !torch.bool
    %367 = torch.aten.Int.bool %366 : !torch.bool -> !torch.int
    %368 = torch.aten.mul.int %367, %int1_84 : !torch.int, !torch.int -> !torch.int
    %369 = torch.aten.add.int %365, %368 : !torch.int, !torch.int -> !torch.int
    %int1_86 = torch.constant.int 1
    %370 = torch.aten.select.int %363, %int0_83, %int1_86 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %371 = torch.aten.item %370 : !torch.vtensor<[1],si64> -> !torch.int
    %372 = torch.aten.lt.int %371, %int0_83 : !torch.int, !torch.int -> !torch.bool
    %373 = torch.aten.Int.bool %372 : !torch.bool -> !torch.int
    %374 = torch.aten.mul.int %373, %int1_84 : !torch.int, !torch.int -> !torch.int
    %375 = torch.aten.add.int %371, %374 : !torch.int, !torch.int -> !torch.int
    %int2_87 = torch.constant.int 2
    %376 = torch.aten.select.int %363, %int0_83, %int2_87 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %377 = torch.aten.item %376 : !torch.vtensor<[1],si64> -> !torch.int
    %378 = torch.aten.lt.int %377, %int0_83 : !torch.int, !torch.int -> !torch.bool
    %379 = torch.aten.Int.bool %378 : !torch.bool -> !torch.int
    %380 = torch.aten.mul.int %379, %int1_84 : !torch.int, !torch.int -> !torch.int
    %381 = torch.aten.add.int %377, %380 : !torch.int, !torch.int -> !torch.int
    %382 = torch.prim.ListConstruct %369, %375, %381 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_88 = torch.constant.bool false
    %none_89 = torch.constant.none
    %383 = torch.aten.tensor %382, %none_89, %none_89, %false_88 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_90, %indices_91 = torch.aten.sort %383, %int0_83, %false_88 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_92 = torch.constant.int 0
    %384 = torch.aten.select.int %values_90, %int0_83, %int0_92 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %385 = torch.aten.item %384 : !torch.vtensor<[1],si64> -> !torch.int
    %386 = torch.aten.unsqueeze %254, %385 : !torch.vtensor<[16],f32>, !torch.int -> !torch.vtensor
    %int1_93 = torch.constant.int 1
    %387 = torch.aten.select.int %values_90, %int0_83, %int1_93 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %388 = torch.aten.item %387 : !torch.vtensor<[1],si64> -> !torch.int
    %389 = torch.aten.unsqueeze %386, %388 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_94 = torch.constant.int 2
    %390 = torch.aten.select.int %values_90, %int0_83, %int2_94 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %391 = torch.aten.item %390 : !torch.vtensor<[1],si64> -> !torch.int
    %392 = torch.aten.unsqueeze %389, %391 : !torch.vtensor, !torch.int -> !torch.vtensor<[16,1,1,1],f32>
    %int1_95 = torch.constant.int 1
    %393 = torch.aten.add.Tensor %362, %392, %int1_95 : !torch.vtensor<[?,16,?,?,?],f32>, !torch.vtensor<[16,1,1,1],f32>, !torch.int -> !torch.vtensor<[?,16,?,?,?],f32>
    %394 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %395 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_96 = torch.constant.int 12
    %396 = torch.aten.item %394 : !torch.vtensor<[],f32> -> !torch.float
    %397 = torch.aten.item %395 : !torch.vtensor<[],si8> -> !torch.int
    %398 = torch.aten.quantize_per_tensor %393, %396, %397, %int12_96 : !torch.vtensor<[?,16,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,16,?,?,?],!torch.qint8>
    %399 = torch.aten.int_repr %398 : !torch.vtensor<[?,16,?,?,?],!torch.qint8> -> !torch.vtensor<[?,16,?,?,?],si8>
    %400 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %401 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %402 = torch.aten.item %400 : !torch.vtensor<[],f32> -> !torch.float
    %403 = torch.aten.item %401 : !torch.vtensor<[],si8> -> !torch.int
    %404 = torch.aten._make_per_tensor_quantized_tensor %399, %402, %403 : !torch.vtensor<[?,16,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,16,?,?,?],!torch.qint8>
    %405 = torch.aten.dequantize.self %404 : !torch.vtensor<[?,16,?,?,?],!torch.qint8> -> !torch.vtensor<[?,16,?,?,?],f32>
    %406 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %407 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_97 = torch.constant.int 12
    %408 = torch.aten.item %406 : !torch.vtensor<[],f32> -> !torch.float
    %409 = torch.aten.item %407 : !torch.vtensor<[],si8> -> !torch.int
    %410 = torch.aten.quantize_per_tensor %5, %408, %409, %int12_97 : !torch.vtensor<[32,16,3,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,16,3,3,3],!torch.qint8>
    %411 = torch.aten.int_repr %410 : !torch.vtensor<[32,16,3,3,3],!torch.qint8> -> !torch.vtensor<[32,16,3,3,3],si8>
    %412 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %413 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %414 = torch.aten.item %412 : !torch.vtensor<[],f32> -> !torch.float
    %415 = torch.aten.item %413 : !torch.vtensor<[],si8> -> !torch.int
    %416 = torch.aten._make_per_tensor_quantized_tensor %411, %414, %415 : !torch.vtensor<[32,16,3,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,16,3,3,3],!torch.qint8>
    %417 = torch.aten.dequantize.self %416 : !torch.vtensor<[32,16,3,3,3],!torch.qint8> -> !torch.vtensor<[32,16,3,3,3],f32>
    %int1_98 = torch.constant.int 1
    %int1_99 = torch.constant.int 1
    %int1_100 = torch.constant.int 1
    %int1_101 = torch.constant.int 1
    %int1_102 = torch.constant.int 1
    %int1_103 = torch.constant.int 1
    %int1_104 = torch.constant.int 1
    %int1_105 = torch.constant.int 1
    %int1_106 = torch.constant.int 1
    %int0_107 = torch.constant.int 0
    %418 = torch.prim.ListConstruct %int1_98, %int1_99, %int1_100 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %419 = torch.prim.ListConstruct %int1_101, %int1_102, %int1_103 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %420 = torch.prim.ListConstruct %int1_104, %int1_105, %int1_106 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %421 = torch.prim.ListConstruct %int0_107, %int0_107 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_108 = torch.constant.bool false
    %none_109 = torch.constant.none
    %int1_110 = torch.constant.int 1
    %422 = torch.aten.convolution %405, %417, %none_109, %420, %418, %419, %false_108, %421, %int1_110 : !torch.vtensor<[?,16,?,?,?],f32>, !torch.vtensor<[32,16,3,3,3],f32>, !torch.none, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[?,32,?,?,?],f32>
    %423 = torch.aten.relu %422 : !torch.vtensor<[?,32,?,?,?],f32> -> !torch.vtensor<[?,32,?,?,?],f32>
    %424 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %425 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_111 = torch.constant.int 12
    %426 = torch.aten.item %424 : !torch.vtensor<[],f32> -> !torch.float
    %427 = torch.aten.item %425 : !torch.vtensor<[],si8> -> !torch.int
    %428 = torch.aten.quantize_per_tensor %423, %426, %427, %int12_111 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,32,?,?,?],!torch.qint8>
    %429 = torch.aten.int_repr %428 : !torch.vtensor<[?,32,?,?,?],!torch.qint8> -> !torch.vtensor<[?,32,?,?,?],si8>
    %430 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %431 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %432 = torch.aten.item %430 : !torch.vtensor<[],f32> -> !torch.float
    %433 = torch.aten.item %431 : !torch.vtensor<[],si8> -> !torch.int
    %434 = torch.aten._make_per_tensor_quantized_tensor %429, %432, %433 : !torch.vtensor<[?,32,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,32,?,?,?],!torch.qint8>
    %435 = torch.aten.dequantize.self %434 : !torch.vtensor<[?,32,?,?,?],!torch.qint8> -> !torch.vtensor<[?,32,?,?,?],f32>
    %int2_112 = torch.constant.int 2
    %int2_113 = torch.constant.int 2
    %int2_114 = torch.constant.int 2
    %436 = torch.prim.ListConstruct %int2_112, %int2_113, %int2_114 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %int0_115 = torch.constant.int 0
    %int0_116 = torch.constant.int 0
    %int0_117 = torch.constant.int 0
    %437 = torch.prim.ListConstruct %int0_115, %int0_116, %int0_117 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %int2_118 = torch.constant.int 2
    %int2_119 = torch.constant.int 2
    %int2_120 = torch.constant.int 2
    %438 = torch.prim.ListConstruct %int2_118, %int2_119, %int2_120 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %int1_121 = torch.constant.int 1
    %int1_122 = torch.constant.int 1
    %int1_123 = torch.constant.int 1
    %439 = torch.prim.ListConstruct %int1_121, %int1_122, %int1_123 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_124 = torch.constant.bool false
    %440 = torch.aten.max_pool3d %435, %436, %438, %437, %439, %false_124 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.vtensor<[?,32,?,?,?],f32>
    %441 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %442 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_125 = torch.constant.int 12
    %443 = torch.aten.item %441 : !torch.vtensor<[],f32> -> !torch.float
    %444 = torch.aten.item %442 : !torch.vtensor<[],si8> -> !torch.int
    %445 = torch.aten.quantize_per_tensor %440, %443, %444, %int12_125 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,32,?,?,?],!torch.qint8>
    %446 = torch.aten.int_repr %445 : !torch.vtensor<[?,32,?,?,?],!torch.qint8> -> !torch.vtensor<[?,32,?,?,?],si8>
    %447 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %448 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %449 = torch.aten.item %447 : !torch.vtensor<[],f32> -> !torch.float
    %450 = torch.aten.item %448 : !torch.vtensor<[],si8> -> !torch.int
    %451 = torch.aten._make_per_tensor_quantized_tensor %446, %449, %450 : !torch.vtensor<[?,32,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,32,?,?,?],!torch.qint8>
    %452 = torch.aten.dequantize.self %451 : !torch.vtensor<[?,32,?,?,?],!torch.qint8> -> !torch.vtensor<[?,32,?,?,?],f32>
    %453 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %454 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_126 = torch.constant.int 12
    %455 = torch.aten.item %453 : !torch.vtensor<[],f32> -> !torch.float
    %456 = torch.aten.item %454 : !torch.vtensor<[],si8> -> !torch.int
    %457 = torch.aten.quantize_per_tensor %6, %455, %456, %int12_126 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %458 = torch.aten.int_repr %457 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
    %459 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %460 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %461 = torch.aten.item %459 : !torch.vtensor<[],f32> -> !torch.float
    %462 = torch.aten.item %460 : !torch.vtensor<[],si8> -> !torch.int
    %463 = torch.aten._make_per_tensor_quantized_tensor %458, %461, %462 : !torch.vtensor<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %464 = torch.aten.dequantize.self %463 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
    %465 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %466 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_127 = torch.constant.int 12
    %467 = torch.aten.item %465 : !torch.vtensor<[],f32> -> !torch.float
    %468 = torch.aten.item %466 : !torch.vtensor<[],si8> -> !torch.int
    %469 = torch.aten.quantize_per_tensor %7, %467, %468, %int12_127 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %470 = torch.aten.int_repr %469 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
    %471 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %472 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %473 = torch.aten.item %471 : !torch.vtensor<[],f32> -> !torch.float
    %474 = torch.aten.item %472 : !torch.vtensor<[],si8> -> !torch.int
    %475 = torch.aten._make_per_tensor_quantized_tensor %470, %473, %474 : !torch.vtensor<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %476 = torch.aten.dequantize.self %475 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
    %477 = torch.vtensor.literal(dense<[0, 8, -1]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_128 = torch.constant.int 0
    %int0_129 = torch.constant.int 0
    %478 = torch.aten.select.int %477, %int0_128, %int0_129 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %479 = torch.aten.item %478 : !torch.vtensor<[1],si64> -> !torch.int
    %480 = torch.aten.eq.int %479, %int0_128 : !torch.int, !torch.int -> !torch.bool
    %481 = torch.aten.Int.bool %480 : !torch.bool -> !torch.int
    %int0_130 = torch.constant.int 0
    %482 = torch.aten.size.int %452, %int0_130 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.int -> !torch.int
    %483 = torch.prim.NumToTensor.Scalar %481 : !torch.int -> !torch.vtensor<[],i1>
    %484 = torch.prim.NumToTensor.Scalar %482 : !torch.int -> !torch.vtensor<[],si64>
    %485 = torch.prim.NumToTensor.Scalar %479 : !torch.int -> !torch.vtensor<[],si64>
    %486 = torch.aten.where.self %483, %484, %485 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %487 = torch.aten.item %486 : !torch.vtensor<[],si64> -> !torch.int
    %int1_131 = torch.constant.int 1
    %488 = torch.aten.select.int %477, %int0_128, %int1_131 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %489 = torch.aten.item %488 : !torch.vtensor<[1],si64> -> !torch.int
    %490 = torch.aten.eq.int %489, %int0_128 : !torch.int, !torch.int -> !torch.bool
    %491 = torch.aten.Int.bool %490 : !torch.bool -> !torch.int
    %int1_132 = torch.constant.int 1
    %492 = torch.aten.size.int %452, %int1_132 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.int -> !torch.int
    %493 = torch.prim.NumToTensor.Scalar %491 : !torch.int -> !torch.vtensor<[],i1>
    %494 = torch.prim.NumToTensor.Scalar %492 : !torch.int -> !torch.vtensor<[],si64>
    %495 = torch.prim.NumToTensor.Scalar %489 : !torch.int -> !torch.vtensor<[],si64>
    %496 = torch.aten.where.self %493, %494, %495 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %497 = torch.aten.item %496 : !torch.vtensor<[],si64> -> !torch.int
    %int2_133 = torch.constant.int 2
    %498 = torch.aten.select.int %477, %int0_128, %int2_133 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %499 = torch.aten.item %498 : !torch.vtensor<[1],si64> -> !torch.int
    %500 = torch.aten.eq.int %499, %int0_128 : !torch.int, !torch.int -> !torch.bool
    %501 = torch.aten.Int.bool %500 : !torch.bool -> !torch.int
    %int2_134 = torch.constant.int 2
    %502 = torch.aten.size.int %452, %int2_134 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.int -> !torch.int
    %503 = torch.prim.NumToTensor.Scalar %501 : !torch.int -> !torch.vtensor<[],i1>
    %504 = torch.prim.NumToTensor.Scalar %502 : !torch.int -> !torch.vtensor<[],si64>
    %505 = torch.prim.NumToTensor.Scalar %499 : !torch.int -> !torch.vtensor<[],si64>
    %506 = torch.aten.where.self %503, %504, %505 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %507 = torch.aten.item %506 : !torch.vtensor<[],si64> -> !torch.int
    %508 = torch.prim.ListConstruct %487, %497, %507 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %509 = torch.aten.reshape %452, %508 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[?,8,?],f32>
    %510 = torch.vtensor.literal(dense<1.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %511 = torch.vtensor.literal(dense<0.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %none_135 = torch.constant.none
    %true_136 = torch.constant.bool true
    %false_137 = torch.constant.bool false
    %float9.999990e-06_138 = torch.constant.float 9.9999997473787516E-6
    %float0.000000e00_139 = torch.constant.float 0.000000e+00
    %512 = torch.aten.instance_norm %509, %510, %511, %none_135, %none_135, %true_136, %float0.000000e00_139, %float9.999990e-06_138, %false_137 : !torch.vtensor<[?,8,?],f32>, !torch.vtensor<[8],f32>, !torch.vtensor<[8],f32>, !torch.none, !torch.none, !torch.bool, !torch.float, !torch.float, !torch.bool -> !torch.vtensor<[?,8,?],f32>
    %513 = torch.aten._shape_as_tensor %452 : !torch.vtensor<[?,32,?,?,?],f32> -> !torch.vtensor<[5],si64>
    %int0_140 = torch.constant.int 0
    %int0_141 = torch.constant.int 0
    %514 = torch.aten.select.int %513, %int0_140, %int0_141 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %515 = torch.aten.item %514 : !torch.vtensor<[1],si64> -> !torch.int
    %516 = torch.aten.eq.int %515, %int0_140 : !torch.int, !torch.int -> !torch.bool
    %517 = torch.aten.Int.bool %516 : !torch.bool -> !torch.int
    %int0_142 = torch.constant.int 0
    %518 = torch.aten.size.int %512, %int0_142 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %519 = torch.prim.NumToTensor.Scalar %517 : !torch.int -> !torch.vtensor<[],i1>
    %520 = torch.prim.NumToTensor.Scalar %518 : !torch.int -> !torch.vtensor<[],si64>
    %521 = torch.prim.NumToTensor.Scalar %515 : !torch.int -> !torch.vtensor<[],si64>
    %522 = torch.aten.where.self %519, %520, %521 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %523 = torch.aten.item %522 : !torch.vtensor<[],si64> -> !torch.int
    %int1_143 = torch.constant.int 1
    %524 = torch.aten.select.int %513, %int0_140, %int1_143 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %525 = torch.aten.item %524 : !torch.vtensor<[1],si64> -> !torch.int
    %526 = torch.aten.eq.int %525, %int0_140 : !torch.int, !torch.int -> !torch.bool
    %527 = torch.aten.Int.bool %526 : !torch.bool -> !torch.int
    %int1_144 = torch.constant.int 1
    %528 = torch.aten.size.int %512, %int1_144 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %529 = torch.prim.NumToTensor.Scalar %527 : !torch.int -> !torch.vtensor<[],i1>
    %530 = torch.prim.NumToTensor.Scalar %528 : !torch.int -> !torch.vtensor<[],si64>
    %531 = torch.prim.NumToTensor.Scalar %525 : !torch.int -> !torch.vtensor<[],si64>
    %532 = torch.aten.where.self %529, %530, %531 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %533 = torch.aten.item %532 : !torch.vtensor<[],si64> -> !torch.int
    %int2_145 = torch.constant.int 2
    %534 = torch.aten.select.int %513, %int0_140, %int2_145 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %535 = torch.aten.item %534 : !torch.vtensor<[1],si64> -> !torch.int
    %536 = torch.aten.eq.int %535, %int0_140 : !torch.int, !torch.int -> !torch.bool
    %537 = torch.aten.Int.bool %536 : !torch.bool -> !torch.int
    %int2_146 = torch.constant.int 2
    %538 = torch.aten.size.int %512, %int2_146 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %539 = torch.prim.NumToTensor.Scalar %537 : !torch.int -> !torch.vtensor<[],i1>
    %540 = torch.prim.NumToTensor.Scalar %538 : !torch.int -> !torch.vtensor<[],si64>
    %541 = torch.prim.NumToTensor.Scalar %535 : !torch.int -> !torch.vtensor<[],si64>
    %542 = torch.aten.where.self %539, %540, %541 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %543 = torch.aten.item %542 : !torch.vtensor<[],si64> -> !torch.int
    %int3_147 = torch.constant.int 3
    %544 = torch.aten.select.int %513, %int0_140, %int3_147 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %545 = torch.aten.item %544 : !torch.vtensor<[1],si64> -> !torch.int
    %546 = torch.aten.eq.int %545, %int0_140 : !torch.int, !torch.int -> !torch.bool
    %547 = torch.aten.Int.bool %546 : !torch.bool -> !torch.int
    %int4_148 = torch.constant.int 4
    %548 = torch.aten.select.int %513, %int0_140, %int4_148 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %549 = torch.aten.item %548 : !torch.vtensor<[1],si64> -> !torch.int
    %550 = torch.aten.eq.int %549, %int0_140 : !torch.int, !torch.int -> !torch.bool
    %551 = torch.aten.Int.bool %550 : !torch.bool -> !torch.int
    %552 = torch.prim.ListConstruct %523, %533, %543, %545, %549 : (!torch.int, !torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %553 = torch.aten.reshape %512, %552 : !torch.vtensor<[?,8,?],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?,?,?],f32>
    %554 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_149 = torch.constant.int 0
    %int1_150 = torch.constant.int 1
    %int0_151 = torch.constant.int 0
    %555 = torch.aten.select.int %554, %int0_149, %int0_151 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %556 = torch.aten.item %555 : !torch.vtensor<[1],si64> -> !torch.int
    %557 = torch.aten.lt.int %556, %int0_149 : !torch.int, !torch.int -> !torch.bool
    %558 = torch.aten.Int.bool %557 : !torch.bool -> !torch.int
    %559 = torch.aten.mul.int %558, %int1_150 : !torch.int, !torch.int -> !torch.int
    %560 = torch.aten.add.int %556, %559 : !torch.int, !torch.int -> !torch.int
    %int1_152 = torch.constant.int 1
    %561 = torch.aten.select.int %554, %int0_149, %int1_152 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %562 = torch.aten.item %561 : !torch.vtensor<[1],si64> -> !torch.int
    %563 = torch.aten.lt.int %562, %int0_149 : !torch.int, !torch.int -> !torch.bool
    %564 = torch.aten.Int.bool %563 : !torch.bool -> !torch.int
    %565 = torch.aten.mul.int %564, %int1_150 : !torch.int, !torch.int -> !torch.int
    %566 = torch.aten.add.int %562, %565 : !torch.int, !torch.int -> !torch.int
    %int2_153 = torch.constant.int 2
    %567 = torch.aten.select.int %554, %int0_149, %int2_153 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %568 = torch.aten.item %567 : !torch.vtensor<[1],si64> -> !torch.int
    %569 = torch.aten.lt.int %568, %int0_149 : !torch.int, !torch.int -> !torch.bool
    %570 = torch.aten.Int.bool %569 : !torch.bool -> !torch.int
    %571 = torch.aten.mul.int %570, %int1_150 : !torch.int, !torch.int -> !torch.int
    %572 = torch.aten.add.int %568, %571 : !torch.int, !torch.int -> !torch.int
    %573 = torch.prim.ListConstruct %560, %566, %572 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_154 = torch.constant.bool false
    %none_155 = torch.constant.none
    %574 = torch.aten.tensor %573, %none_155, %none_155, %false_154 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_156, %indices_157 = torch.aten.sort %574, %int0_149, %false_154 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_158 = torch.constant.int 0
    %575 = torch.aten.select.int %values_156, %int0_149, %int0_158 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %576 = torch.aten.item %575 : !torch.vtensor<[1],si64> -> !torch.int
    %577 = torch.aten.unsqueeze %464, %576 : !torch.vtensor<[32],f32>, !torch.int -> !torch.vtensor
    %int1_159 = torch.constant.int 1
    %578 = torch.aten.select.int %values_156, %int0_149, %int1_159 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %579 = torch.aten.item %578 : !torch.vtensor<[1],si64> -> !torch.int
    %580 = torch.aten.unsqueeze %577, %579 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_160 = torch.constant.int 2
    %581 = torch.aten.select.int %values_156, %int0_149, %int2_160 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %582 = torch.aten.item %581 : !torch.vtensor<[1],si64> -> !torch.int
    %583 = torch.aten.unsqueeze %580, %582 : !torch.vtensor, !torch.int -> !torch.vtensor<[32,1,1,1],f32>
    %584 = torch.aten.mul.Tensor %553, %583 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.vtensor<[32,1,1,1],f32> -> !torch.vtensor<[?,32,?,?,?],f32>
    %585 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_161 = torch.constant.int 0
    %int1_162 = torch.constant.int 1
    %int0_163 = torch.constant.int 0
    %586 = torch.aten.select.int %585, %int0_161, %int0_163 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %587 = torch.aten.item %586 : !torch.vtensor<[1],si64> -> !torch.int
    %588 = torch.aten.lt.int %587, %int0_161 : !torch.int, !torch.int -> !torch.bool
    %589 = torch.aten.Int.bool %588 : !torch.bool -> !torch.int
    %590 = torch.aten.mul.int %589, %int1_162 : !torch.int, !torch.int -> !torch.int
    %591 = torch.aten.add.int %587, %590 : !torch.int, !torch.int -> !torch.int
    %int1_164 = torch.constant.int 1
    %592 = torch.aten.select.int %585, %int0_161, %int1_164 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %593 = torch.aten.item %592 : !torch.vtensor<[1],si64> -> !torch.int
    %594 = torch.aten.lt.int %593, %int0_161 : !torch.int, !torch.int -> !torch.bool
    %595 = torch.aten.Int.bool %594 : !torch.bool -> !torch.int
    %596 = torch.aten.mul.int %595, %int1_162 : !torch.int, !torch.int -> !torch.int
    %597 = torch.aten.add.int %593, %596 : !torch.int, !torch.int -> !torch.int
    %int2_165 = torch.constant.int 2
    %598 = torch.aten.select.int %585, %int0_161, %int2_165 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %599 = torch.aten.item %598 : !torch.vtensor<[1],si64> -> !torch.int
    %600 = torch.aten.lt.int %599, %int0_161 : !torch.int, !torch.int -> !torch.bool
    %601 = torch.aten.Int.bool %600 : !torch.bool -> !torch.int
    %602 = torch.aten.mul.int %601, %int1_162 : !torch.int, !torch.int -> !torch.int
    %603 = torch.aten.add.int %599, %602 : !torch.int, !torch.int -> !torch.int
    %604 = torch.prim.ListConstruct %591, %597, %603 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_166 = torch.constant.bool false
    %none_167 = torch.constant.none
    %605 = torch.aten.tensor %604, %none_167, %none_167, %false_166 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_168, %indices_169 = torch.aten.sort %605, %int0_161, %false_166 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_170 = torch.constant.int 0
    %606 = torch.aten.select.int %values_168, %int0_161, %int0_170 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %607 = torch.aten.item %606 : !torch.vtensor<[1],si64> -> !torch.int
    %608 = torch.aten.unsqueeze %476, %607 : !torch.vtensor<[32],f32>, !torch.int -> !torch.vtensor
    %int1_171 = torch.constant.int 1
    %609 = torch.aten.select.int %values_168, %int0_161, %int1_171 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %610 = torch.aten.item %609 : !torch.vtensor<[1],si64> -> !torch.int
    %611 = torch.aten.unsqueeze %608, %610 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_172 = torch.constant.int 2
    %612 = torch.aten.select.int %values_168, %int0_161, %int2_172 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %613 = torch.aten.item %612 : !torch.vtensor<[1],si64> -> !torch.int
    %614 = torch.aten.unsqueeze %611, %613 : !torch.vtensor, !torch.int -> !torch.vtensor<[32,1,1,1],f32>
    %int1_173 = torch.constant.int 1
    %615 = torch.aten.add.Tensor %584, %614, %int1_173 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.vtensor<[32,1,1,1],f32>, !torch.int -> !torch.vtensor<[?,32,?,?,?],f32>
    %616 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %617 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_174 = torch.constant.int 12
    %618 = torch.aten.item %616 : !torch.vtensor<[],f32> -> !torch.float
    %619 = torch.aten.item %617 : !torch.vtensor<[],si8> -> !torch.int
    %620 = torch.aten.quantize_per_tensor %615, %618, %619, %int12_174 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,32,?,?,?],!torch.qint8>
    %621 = torch.aten.int_repr %620 : !torch.vtensor<[?,32,?,?,?],!torch.qint8> -> !torch.vtensor<[?,32,?,?,?],si8>
    %622 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %623 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %624 = torch.aten.item %622 : !torch.vtensor<[],f32> -> !torch.float
    %625 = torch.aten.item %623 : !torch.vtensor<[],si8> -> !torch.int
    %626 = torch.aten._make_per_tensor_quantized_tensor %621, %624, %625 : !torch.vtensor<[?,32,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,32,?,?,?],!torch.qint8>
    %627 = torch.aten.dequantize.self %626 : !torch.vtensor<[?,32,?,?,?],!torch.qint8> -> !torch.vtensor<[?,32,?,?,?],f32>
    %628 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %629 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_175 = torch.constant.int 12
    %630 = torch.aten.item %628 : !torch.vtensor<[],f32> -> !torch.float
    %631 = torch.aten.item %629 : !torch.vtensor<[],si8> -> !torch.int
    %632 = torch.aten.quantize_per_tensor %8, %630, %631, %int12_175 : !torch.vtensor<[32,32,3,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,32,3,3,3],!torch.qint8>
    %633 = torch.aten.int_repr %632 : !torch.vtensor<[32,32,3,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3,3],si8>
    %634 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %635 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %636 = torch.aten.item %634 : !torch.vtensor<[],f32> -> !torch.float
    %637 = torch.aten.item %635 : !torch.vtensor<[],si8> -> !torch.int
    %638 = torch.aten._make_per_tensor_quantized_tensor %633, %636, %637 : !torch.vtensor<[32,32,3,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,32,3,3,3],!torch.qint8>
    %639 = torch.aten.dequantize.self %638 : !torch.vtensor<[32,32,3,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3,3],f32>
    %int1_176 = torch.constant.int 1
    %int1_177 = torch.constant.int 1
    %int1_178 = torch.constant.int 1
    %int1_179 = torch.constant.int 1
    %int1_180 = torch.constant.int 1
    %int1_181 = torch.constant.int 1
    %int1_182 = torch.constant.int 1
    %int1_183 = torch.constant.int 1
    %int1_184 = torch.constant.int 1
    %int0_185 = torch.constant.int 0
    %640 = torch.prim.ListConstruct %int1_176, %int1_177, %int1_178 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %641 = torch.prim.ListConstruct %int1_179, %int1_180, %int1_181 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %642 = torch.prim.ListConstruct %int1_182, %int1_183, %int1_184 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %643 = torch.prim.ListConstruct %int0_185, %int0_185 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_186 = torch.constant.bool false
    %none_187 = torch.constant.none
    %int1_188 = torch.constant.int 1
    %644 = torch.aten.convolution %627, %639, %none_187, %642, %640, %641, %false_186, %643, %int1_188 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.vtensor<[32,32,3,3,3],f32>, !torch.none, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[?,32,?,?,?],f32>
    %645 = torch.aten.relu %644 : !torch.vtensor<[?,32,?,?,?],f32> -> !torch.vtensor<[?,32,?,?,?],f32>
    %646 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %647 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_189 = torch.constant.int 12
    %648 = torch.aten.item %646 : !torch.vtensor<[],f32> -> !torch.float
    %649 = torch.aten.item %647 : !torch.vtensor<[],si8> -> !torch.int
    %650 = torch.aten.quantize_per_tensor %645, %648, %649, %int12_189 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,32,?,?,?],!torch.qint8>
    %651 = torch.aten.int_repr %650 : !torch.vtensor<[?,32,?,?,?],!torch.qint8> -> !torch.vtensor<[?,32,?,?,?],si8>
    %652 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %653 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %654 = torch.aten.item %652 : !torch.vtensor<[],f32> -> !torch.float
    %655 = torch.aten.item %653 : !torch.vtensor<[],si8> -> !torch.int
    %656 = torch.aten._make_per_tensor_quantized_tensor %651, %654, %655 : !torch.vtensor<[?,32,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,32,?,?,?],!torch.qint8>
    %657 = torch.aten.dequantize.self %656 : !torch.vtensor<[?,32,?,?,?],!torch.qint8> -> !torch.vtensor<[?,32,?,?,?],f32>
    %658 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %659 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_190 = torch.constant.int 12
    %660 = torch.aten.item %658 : !torch.vtensor<[],f32> -> !torch.float
    %661 = torch.aten.item %659 : !torch.vtensor<[],si8> -> !torch.int
    %662 = torch.aten.quantize_per_tensor %9, %660, %661, %int12_190 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %663 = torch.aten.int_repr %662 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
    %664 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %665 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %666 = torch.aten.item %664 : !torch.vtensor<[],f32> -> !torch.float
    %667 = torch.aten.item %665 : !torch.vtensor<[],si8> -> !torch.int
    %668 = torch.aten._make_per_tensor_quantized_tensor %663, %666, %667 : !torch.vtensor<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %669 = torch.aten.dequantize.self %668 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
    %670 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %671 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_191 = torch.constant.int 12
    %672 = torch.aten.item %670 : !torch.vtensor<[],f32> -> !torch.float
    %673 = torch.aten.item %671 : !torch.vtensor<[],si8> -> !torch.int
    %674 = torch.aten.quantize_per_tensor %10, %672, %673, %int12_191 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %675 = torch.aten.int_repr %674 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
    %676 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %677 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %678 = torch.aten.item %676 : !torch.vtensor<[],f32> -> !torch.float
    %679 = torch.aten.item %677 : !torch.vtensor<[],si8> -> !torch.int
    %680 = torch.aten._make_per_tensor_quantized_tensor %675, %678, %679 : !torch.vtensor<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %681 = torch.aten.dequantize.self %680 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
    %682 = torch.vtensor.literal(dense<[0, 8, -1]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_192 = torch.constant.int 0
    %int0_193 = torch.constant.int 0
    %683 = torch.aten.select.int %682, %int0_192, %int0_193 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %684 = torch.aten.item %683 : !torch.vtensor<[1],si64> -> !torch.int
    %685 = torch.aten.eq.int %684, %int0_192 : !torch.int, !torch.int -> !torch.bool
    %686 = torch.aten.Int.bool %685 : !torch.bool -> !torch.int
    %int0_194 = torch.constant.int 0
    %687 = torch.aten.size.int %657, %int0_194 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.int -> !torch.int
    %688 = torch.prim.NumToTensor.Scalar %686 : !torch.int -> !torch.vtensor<[],i1>
    %689 = torch.prim.NumToTensor.Scalar %687 : !torch.int -> !torch.vtensor<[],si64>
    %690 = torch.prim.NumToTensor.Scalar %684 : !torch.int -> !torch.vtensor<[],si64>
    %691 = torch.aten.where.self %688, %689, %690 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %692 = torch.aten.item %691 : !torch.vtensor<[],si64> -> !torch.int
    %int1_195 = torch.constant.int 1
    %693 = torch.aten.select.int %682, %int0_192, %int1_195 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %694 = torch.aten.item %693 : !torch.vtensor<[1],si64> -> !torch.int
    %695 = torch.aten.eq.int %694, %int0_192 : !torch.int, !torch.int -> !torch.bool
    %696 = torch.aten.Int.bool %695 : !torch.bool -> !torch.int
    %int1_196 = torch.constant.int 1
    %697 = torch.aten.size.int %657, %int1_196 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.int -> !torch.int
    %698 = torch.prim.NumToTensor.Scalar %696 : !torch.int -> !torch.vtensor<[],i1>
    %699 = torch.prim.NumToTensor.Scalar %697 : !torch.int -> !torch.vtensor<[],si64>
    %700 = torch.prim.NumToTensor.Scalar %694 : !torch.int -> !torch.vtensor<[],si64>
    %701 = torch.aten.where.self %698, %699, %700 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %702 = torch.aten.item %701 : !torch.vtensor<[],si64> -> !torch.int
    %int2_197 = torch.constant.int 2
    %703 = torch.aten.select.int %682, %int0_192, %int2_197 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %704 = torch.aten.item %703 : !torch.vtensor<[1],si64> -> !torch.int
    %705 = torch.aten.eq.int %704, %int0_192 : !torch.int, !torch.int -> !torch.bool
    %706 = torch.aten.Int.bool %705 : !torch.bool -> !torch.int
    %int2_198 = torch.constant.int 2
    %707 = torch.aten.size.int %657, %int2_198 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.int -> !torch.int
    %708 = torch.prim.NumToTensor.Scalar %706 : !torch.int -> !torch.vtensor<[],i1>
    %709 = torch.prim.NumToTensor.Scalar %707 : !torch.int -> !torch.vtensor<[],si64>
    %710 = torch.prim.NumToTensor.Scalar %704 : !torch.int -> !torch.vtensor<[],si64>
    %711 = torch.aten.where.self %708, %709, %710 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %712 = torch.aten.item %711 : !torch.vtensor<[],si64> -> !torch.int
    %713 = torch.prim.ListConstruct %692, %702, %712 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %714 = torch.aten.reshape %657, %713 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[?,8,?],f32>
    %715 = torch.vtensor.literal(dense<1.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %716 = torch.vtensor.literal(dense<0.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %none_199 = torch.constant.none
    %true_200 = torch.constant.bool true
    %false_201 = torch.constant.bool false
    %float9.999990e-06_202 = torch.constant.float 9.9999997473787516E-6
    %float0.000000e00_203 = torch.constant.float 0.000000e+00
    %717 = torch.aten.instance_norm %714, %715, %716, %none_199, %none_199, %true_200, %float0.000000e00_203, %float9.999990e-06_202, %false_201 : !torch.vtensor<[?,8,?],f32>, !torch.vtensor<[8],f32>, !torch.vtensor<[8],f32>, !torch.none, !torch.none, !torch.bool, !torch.float, !torch.float, !torch.bool -> !torch.vtensor<[?,8,?],f32>
    %718 = torch.aten._shape_as_tensor %657 : !torch.vtensor<[?,32,?,?,?],f32> -> !torch.vtensor<[5],si64>
    %int0_204 = torch.constant.int 0
    %int0_205 = torch.constant.int 0
    %719 = torch.aten.select.int %718, %int0_204, %int0_205 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %720 = torch.aten.item %719 : !torch.vtensor<[1],si64> -> !torch.int
    %721 = torch.aten.eq.int %720, %int0_204 : !torch.int, !torch.int -> !torch.bool
    %722 = torch.aten.Int.bool %721 : !torch.bool -> !torch.int
    %int0_206 = torch.constant.int 0
    %723 = torch.aten.size.int %717, %int0_206 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %724 = torch.prim.NumToTensor.Scalar %722 : !torch.int -> !torch.vtensor<[],i1>
    %725 = torch.prim.NumToTensor.Scalar %723 : !torch.int -> !torch.vtensor<[],si64>
    %726 = torch.prim.NumToTensor.Scalar %720 : !torch.int -> !torch.vtensor<[],si64>
    %727 = torch.aten.where.self %724, %725, %726 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %728 = torch.aten.item %727 : !torch.vtensor<[],si64> -> !torch.int
    %int1_207 = torch.constant.int 1
    %729 = torch.aten.select.int %718, %int0_204, %int1_207 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %730 = torch.aten.item %729 : !torch.vtensor<[1],si64> -> !torch.int
    %731 = torch.aten.eq.int %730, %int0_204 : !torch.int, !torch.int -> !torch.bool
    %732 = torch.aten.Int.bool %731 : !torch.bool -> !torch.int
    %int1_208 = torch.constant.int 1
    %733 = torch.aten.size.int %717, %int1_208 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %734 = torch.prim.NumToTensor.Scalar %732 : !torch.int -> !torch.vtensor<[],i1>
    %735 = torch.prim.NumToTensor.Scalar %733 : !torch.int -> !torch.vtensor<[],si64>
    %736 = torch.prim.NumToTensor.Scalar %730 : !torch.int -> !torch.vtensor<[],si64>
    %737 = torch.aten.where.self %734, %735, %736 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %738 = torch.aten.item %737 : !torch.vtensor<[],si64> -> !torch.int
    %int2_209 = torch.constant.int 2
    %739 = torch.aten.select.int %718, %int0_204, %int2_209 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %740 = torch.aten.item %739 : !torch.vtensor<[1],si64> -> !torch.int
    %741 = torch.aten.eq.int %740, %int0_204 : !torch.int, !torch.int -> !torch.bool
    %742 = torch.aten.Int.bool %741 : !torch.bool -> !torch.int
    %int2_210 = torch.constant.int 2
    %743 = torch.aten.size.int %717, %int2_210 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %744 = torch.prim.NumToTensor.Scalar %742 : !torch.int -> !torch.vtensor<[],i1>
    %745 = torch.prim.NumToTensor.Scalar %743 : !torch.int -> !torch.vtensor<[],si64>
    %746 = torch.prim.NumToTensor.Scalar %740 : !torch.int -> !torch.vtensor<[],si64>
    %747 = torch.aten.where.self %744, %745, %746 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %748 = torch.aten.item %747 : !torch.vtensor<[],si64> -> !torch.int
    %int3_211 = torch.constant.int 3
    %749 = torch.aten.select.int %718, %int0_204, %int3_211 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %750 = torch.aten.item %749 : !torch.vtensor<[1],si64> -> !torch.int
    %751 = torch.aten.eq.int %750, %int0_204 : !torch.int, !torch.int -> !torch.bool
    %752 = torch.aten.Int.bool %751 : !torch.bool -> !torch.int
    %int4_212 = torch.constant.int 4
    %753 = torch.aten.select.int %718, %int0_204, %int4_212 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %754 = torch.aten.item %753 : !torch.vtensor<[1],si64> -> !torch.int
    %755 = torch.aten.eq.int %754, %int0_204 : !torch.int, !torch.int -> !torch.bool
    %756 = torch.aten.Int.bool %755 : !torch.bool -> !torch.int
    %757 = torch.prim.ListConstruct %728, %738, %748, %750, %754 : (!torch.int, !torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %758 = torch.aten.reshape %717, %757 : !torch.vtensor<[?,8,?],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?,?,?],f32>
    %759 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_213 = torch.constant.int 0
    %int1_214 = torch.constant.int 1
    %int0_215 = torch.constant.int 0
    %760 = torch.aten.select.int %759, %int0_213, %int0_215 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %761 = torch.aten.item %760 : !torch.vtensor<[1],si64> -> !torch.int
    %762 = torch.aten.lt.int %761, %int0_213 : !torch.int, !torch.int -> !torch.bool
    %763 = torch.aten.Int.bool %762 : !torch.bool -> !torch.int
    %764 = torch.aten.mul.int %763, %int1_214 : !torch.int, !torch.int -> !torch.int
    %765 = torch.aten.add.int %761, %764 : !torch.int, !torch.int -> !torch.int
    %int1_216 = torch.constant.int 1
    %766 = torch.aten.select.int %759, %int0_213, %int1_216 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %767 = torch.aten.item %766 : !torch.vtensor<[1],si64> -> !torch.int
    %768 = torch.aten.lt.int %767, %int0_213 : !torch.int, !torch.int -> !torch.bool
    %769 = torch.aten.Int.bool %768 : !torch.bool -> !torch.int
    %770 = torch.aten.mul.int %769, %int1_214 : !torch.int, !torch.int -> !torch.int
    %771 = torch.aten.add.int %767, %770 : !torch.int, !torch.int -> !torch.int
    %int2_217 = torch.constant.int 2
    %772 = torch.aten.select.int %759, %int0_213, %int2_217 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %773 = torch.aten.item %772 : !torch.vtensor<[1],si64> -> !torch.int
    %774 = torch.aten.lt.int %773, %int0_213 : !torch.int, !torch.int -> !torch.bool
    %775 = torch.aten.Int.bool %774 : !torch.bool -> !torch.int
    %776 = torch.aten.mul.int %775, %int1_214 : !torch.int, !torch.int -> !torch.int
    %777 = torch.aten.add.int %773, %776 : !torch.int, !torch.int -> !torch.int
    %778 = torch.prim.ListConstruct %765, %771, %777 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_218 = torch.constant.bool false
    %none_219 = torch.constant.none
    %779 = torch.aten.tensor %778, %none_219, %none_219, %false_218 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_220, %indices_221 = torch.aten.sort %779, %int0_213, %false_218 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_222 = torch.constant.int 0
    %780 = torch.aten.select.int %values_220, %int0_213, %int0_222 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %781 = torch.aten.item %780 : !torch.vtensor<[1],si64> -> !torch.int
    %782 = torch.aten.unsqueeze %669, %781 : !torch.vtensor<[32],f32>, !torch.int -> !torch.vtensor
    %int1_223 = torch.constant.int 1
    %783 = torch.aten.select.int %values_220, %int0_213, %int1_223 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %784 = torch.aten.item %783 : !torch.vtensor<[1],si64> -> !torch.int
    %785 = torch.aten.unsqueeze %782, %784 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_224 = torch.constant.int 2
    %786 = torch.aten.select.int %values_220, %int0_213, %int2_224 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %787 = torch.aten.item %786 : !torch.vtensor<[1],si64> -> !torch.int
    %788 = torch.aten.unsqueeze %785, %787 : !torch.vtensor, !torch.int -> !torch.vtensor<[32,1,1,1],f32>
    %789 = torch.aten.mul.Tensor %758, %788 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.vtensor<[32,1,1,1],f32> -> !torch.vtensor<[?,32,?,?,?],f32>
    %790 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_225 = torch.constant.int 0
    %int1_226 = torch.constant.int 1
    %int0_227 = torch.constant.int 0
    %791 = torch.aten.select.int %790, %int0_225, %int0_227 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %792 = torch.aten.item %791 : !torch.vtensor<[1],si64> -> !torch.int
    %793 = torch.aten.lt.int %792, %int0_225 : !torch.int, !torch.int -> !torch.bool
    %794 = torch.aten.Int.bool %793 : !torch.bool -> !torch.int
    %795 = torch.aten.mul.int %794, %int1_226 : !torch.int, !torch.int -> !torch.int
    %796 = torch.aten.add.int %792, %795 : !torch.int, !torch.int -> !torch.int
    %int1_228 = torch.constant.int 1
    %797 = torch.aten.select.int %790, %int0_225, %int1_228 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %798 = torch.aten.item %797 : !torch.vtensor<[1],si64> -> !torch.int
    %799 = torch.aten.lt.int %798, %int0_225 : !torch.int, !torch.int -> !torch.bool
    %800 = torch.aten.Int.bool %799 : !torch.bool -> !torch.int
    %801 = torch.aten.mul.int %800, %int1_226 : !torch.int, !torch.int -> !torch.int
    %802 = torch.aten.add.int %798, %801 : !torch.int, !torch.int -> !torch.int
    %int2_229 = torch.constant.int 2
    %803 = torch.aten.select.int %790, %int0_225, %int2_229 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %804 = torch.aten.item %803 : !torch.vtensor<[1],si64> -> !torch.int
    %805 = torch.aten.lt.int %804, %int0_225 : !torch.int, !torch.int -> !torch.bool
    %806 = torch.aten.Int.bool %805 : !torch.bool -> !torch.int
    %807 = torch.aten.mul.int %806, %int1_226 : !torch.int, !torch.int -> !torch.int
    %808 = torch.aten.add.int %804, %807 : !torch.int, !torch.int -> !torch.int
    %809 = torch.prim.ListConstruct %796, %802, %808 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_230 = torch.constant.bool false
    %none_231 = torch.constant.none
    %810 = torch.aten.tensor %809, %none_231, %none_231, %false_230 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_232, %indices_233 = torch.aten.sort %810, %int0_225, %false_230 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_234 = torch.constant.int 0
    %811 = torch.aten.select.int %values_232, %int0_225, %int0_234 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %812 = torch.aten.item %811 : !torch.vtensor<[1],si64> -> !torch.int
    %813 = torch.aten.unsqueeze %681, %812 : !torch.vtensor<[32],f32>, !torch.int -> !torch.vtensor
    %int1_235 = torch.constant.int 1
    %814 = torch.aten.select.int %values_232, %int0_225, %int1_235 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %815 = torch.aten.item %814 : !torch.vtensor<[1],si64> -> !torch.int
    %816 = torch.aten.unsqueeze %813, %815 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_236 = torch.constant.int 2
    %817 = torch.aten.select.int %values_232, %int0_225, %int2_236 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %818 = torch.aten.item %817 : !torch.vtensor<[1],si64> -> !torch.int
    %819 = torch.aten.unsqueeze %816, %818 : !torch.vtensor, !torch.int -> !torch.vtensor<[32,1,1,1],f32>
    %int1_237 = torch.constant.int 1
    %820 = torch.aten.add.Tensor %789, %819, %int1_237 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.vtensor<[32,1,1,1],f32>, !torch.int -> !torch.vtensor<[?,32,?,?,?],f32>
    %821 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %822 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_238 = torch.constant.int 12
    %823 = torch.aten.item %821 : !torch.vtensor<[],f32> -> !torch.float
    %824 = torch.aten.item %822 : !torch.vtensor<[],si8> -> !torch.int
    %825 = torch.aten.quantize_per_tensor %820, %823, %824, %int12_238 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,32,?,?,?],!torch.qint8>
    %826 = torch.aten.int_repr %825 : !torch.vtensor<[?,32,?,?,?],!torch.qint8> -> !torch.vtensor<[?,32,?,?,?],si8>
    %827 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %828 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %829 = torch.aten.item %827 : !torch.vtensor<[],f32> -> !torch.float
    %830 = torch.aten.item %828 : !torch.vtensor<[],si8> -> !torch.int
    %831 = torch.aten._make_per_tensor_quantized_tensor %826, %829, %830 : !torch.vtensor<[?,32,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,32,?,?,?],!torch.qint8>
    %832 = torch.aten.dequantize.self %831 : !torch.vtensor<[?,32,?,?,?],!torch.qint8> -> !torch.vtensor<[?,32,?,?,?],f32>
    %833 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %834 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_239 = torch.constant.int 12
    %835 = torch.aten.item %833 : !torch.vtensor<[],f32> -> !torch.float
    %836 = torch.aten.item %834 : !torch.vtensor<[],si8> -> !torch.int
    %837 = torch.aten.quantize_per_tensor %11, %835, %836, %int12_239 : !torch.vtensor<[64,32,3,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,32,3,3,3],!torch.qint8>
    %838 = torch.aten.int_repr %837 : !torch.vtensor<[64,32,3,3,3],!torch.qint8> -> !torch.vtensor<[64,32,3,3,3],si8>
    %839 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %840 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %841 = torch.aten.item %839 : !torch.vtensor<[],f32> -> !torch.float
    %842 = torch.aten.item %840 : !torch.vtensor<[],si8> -> !torch.int
    %843 = torch.aten._make_per_tensor_quantized_tensor %838, %841, %842 : !torch.vtensor<[64,32,3,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,32,3,3,3],!torch.qint8>
    %844 = torch.aten.dequantize.self %843 : !torch.vtensor<[64,32,3,3,3],!torch.qint8> -> !torch.vtensor<[64,32,3,3,3],f32>
    %int1_240 = torch.constant.int 1
    %int1_241 = torch.constant.int 1
    %int1_242 = torch.constant.int 1
    %int1_243 = torch.constant.int 1
    %int1_244 = torch.constant.int 1
    %int1_245 = torch.constant.int 1
    %int1_246 = torch.constant.int 1
    %int1_247 = torch.constant.int 1
    %int1_248 = torch.constant.int 1
    %int0_249 = torch.constant.int 0
    %845 = torch.prim.ListConstruct %int1_240, %int1_241, %int1_242 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %846 = torch.prim.ListConstruct %int1_243, %int1_244, %int1_245 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %847 = torch.prim.ListConstruct %int1_246, %int1_247, %int1_248 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %848 = torch.prim.ListConstruct %int0_249, %int0_249 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_250 = torch.constant.bool false
    %none_251 = torch.constant.none
    %int1_252 = torch.constant.int 1
    %849 = torch.aten.convolution %832, %844, %none_251, %847, %845, %846, %false_250, %848, %int1_252 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.vtensor<[64,32,3,3,3],f32>, !torch.none, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[?,64,?,?,?],f32>
    %850 = torch.aten.relu %849 : !torch.vtensor<[?,64,?,?,?],f32> -> !torch.vtensor<[?,64,?,?,?],f32>
    %851 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %852 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_253 = torch.constant.int 12
    %853 = torch.aten.item %851 : !torch.vtensor<[],f32> -> !torch.float
    %854 = torch.aten.item %852 : !torch.vtensor<[],si8> -> !torch.int
    %855 = torch.aten.quantize_per_tensor %850, %853, %854, %int12_253 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,64,?,?,?],!torch.qint8>
    %856 = torch.aten.int_repr %855 : !torch.vtensor<[?,64,?,?,?],!torch.qint8> -> !torch.vtensor<[?,64,?,?,?],si8>
    %857 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %858 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %859 = torch.aten.item %857 : !torch.vtensor<[],f32> -> !torch.float
    %860 = torch.aten.item %858 : !torch.vtensor<[],si8> -> !torch.int
    %861 = torch.aten._make_per_tensor_quantized_tensor %856, %859, %860 : !torch.vtensor<[?,64,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,64,?,?,?],!torch.qint8>
    %862 = torch.aten.dequantize.self %861 : !torch.vtensor<[?,64,?,?,?],!torch.qint8> -> !torch.vtensor<[?,64,?,?,?],f32>
    %int2_254 = torch.constant.int 2
    %int2_255 = torch.constant.int 2
    %int2_256 = torch.constant.int 2
    %863 = torch.prim.ListConstruct %int2_254, %int2_255, %int2_256 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %int0_257 = torch.constant.int 0
    %int0_258 = torch.constant.int 0
    %int0_259 = torch.constant.int 0
    %864 = torch.prim.ListConstruct %int0_257, %int0_258, %int0_259 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %int2_260 = torch.constant.int 2
    %int2_261 = torch.constant.int 2
    %int2_262 = torch.constant.int 2
    %865 = torch.prim.ListConstruct %int2_260, %int2_261, %int2_262 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %int1_263 = torch.constant.int 1
    %int1_264 = torch.constant.int 1
    %int1_265 = torch.constant.int 1
    %866 = torch.prim.ListConstruct %int1_263, %int1_264, %int1_265 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_266 = torch.constant.bool false
    %867 = torch.aten.max_pool3d %862, %863, %865, %864, %866, %false_266 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.vtensor<[?,64,?,?,?],f32>
    %868 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %869 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_267 = torch.constant.int 12
    %870 = torch.aten.item %868 : !torch.vtensor<[],f32> -> !torch.float
    %871 = torch.aten.item %869 : !torch.vtensor<[],si8> -> !torch.int
    %872 = torch.aten.quantize_per_tensor %867, %870, %871, %int12_267 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,64,?,?,?],!torch.qint8>
    %873 = torch.aten.int_repr %872 : !torch.vtensor<[?,64,?,?,?],!torch.qint8> -> !torch.vtensor<[?,64,?,?,?],si8>
    %874 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %875 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %876 = torch.aten.item %874 : !torch.vtensor<[],f32> -> !torch.float
    %877 = torch.aten.item %875 : !torch.vtensor<[],si8> -> !torch.int
    %878 = torch.aten._make_per_tensor_quantized_tensor %873, %876, %877 : !torch.vtensor<[?,64,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,64,?,?,?],!torch.qint8>
    %879 = torch.aten.dequantize.self %878 : !torch.vtensor<[?,64,?,?,?],!torch.qint8> -> !torch.vtensor<[?,64,?,?,?],f32>
    %880 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %881 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_268 = torch.constant.int 12
    %882 = torch.aten.item %880 : !torch.vtensor<[],f32> -> !torch.float
    %883 = torch.aten.item %881 : !torch.vtensor<[],si8> -> !torch.int
    %884 = torch.aten.quantize_per_tensor %12, %882, %883, %int12_268 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %885 = torch.aten.int_repr %884 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %886 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %887 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %888 = torch.aten.item %886 : !torch.vtensor<[],f32> -> !torch.float
    %889 = torch.aten.item %887 : !torch.vtensor<[],si8> -> !torch.int
    %890 = torch.aten._make_per_tensor_quantized_tensor %885, %888, %889 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %891 = torch.aten.dequantize.self %890 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %892 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %893 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_269 = torch.constant.int 12
    %894 = torch.aten.item %892 : !torch.vtensor<[],f32> -> !torch.float
    %895 = torch.aten.item %893 : !torch.vtensor<[],si8> -> !torch.int
    %896 = torch.aten.quantize_per_tensor %13, %894, %895, %int12_269 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %897 = torch.aten.int_repr %896 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %898 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %899 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %900 = torch.aten.item %898 : !torch.vtensor<[],f32> -> !torch.float
    %901 = torch.aten.item %899 : !torch.vtensor<[],si8> -> !torch.int
    %902 = torch.aten._make_per_tensor_quantized_tensor %897, %900, %901 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %903 = torch.aten.dequantize.self %902 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %904 = torch.vtensor.literal(dense<[0, 8, -1]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_270 = torch.constant.int 0
    %int0_271 = torch.constant.int 0
    %905 = torch.aten.select.int %904, %int0_270, %int0_271 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %906 = torch.aten.item %905 : !torch.vtensor<[1],si64> -> !torch.int
    %907 = torch.aten.eq.int %906, %int0_270 : !torch.int, !torch.int -> !torch.bool
    %908 = torch.aten.Int.bool %907 : !torch.bool -> !torch.int
    %int0_272 = torch.constant.int 0
    %909 = torch.aten.size.int %879, %int0_272 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.int -> !torch.int
    %910 = torch.prim.NumToTensor.Scalar %908 : !torch.int -> !torch.vtensor<[],i1>
    %911 = torch.prim.NumToTensor.Scalar %909 : !torch.int -> !torch.vtensor<[],si64>
    %912 = torch.prim.NumToTensor.Scalar %906 : !torch.int -> !torch.vtensor<[],si64>
    %913 = torch.aten.where.self %910, %911, %912 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %914 = torch.aten.item %913 : !torch.vtensor<[],si64> -> !torch.int
    %int1_273 = torch.constant.int 1
    %915 = torch.aten.select.int %904, %int0_270, %int1_273 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %916 = torch.aten.item %915 : !torch.vtensor<[1],si64> -> !torch.int
    %917 = torch.aten.eq.int %916, %int0_270 : !torch.int, !torch.int -> !torch.bool
    %918 = torch.aten.Int.bool %917 : !torch.bool -> !torch.int
    %int1_274 = torch.constant.int 1
    %919 = torch.aten.size.int %879, %int1_274 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.int -> !torch.int
    %920 = torch.prim.NumToTensor.Scalar %918 : !torch.int -> !torch.vtensor<[],i1>
    %921 = torch.prim.NumToTensor.Scalar %919 : !torch.int -> !torch.vtensor<[],si64>
    %922 = torch.prim.NumToTensor.Scalar %916 : !torch.int -> !torch.vtensor<[],si64>
    %923 = torch.aten.where.self %920, %921, %922 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %924 = torch.aten.item %923 : !torch.vtensor<[],si64> -> !torch.int
    %int2_275 = torch.constant.int 2
    %925 = torch.aten.select.int %904, %int0_270, %int2_275 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %926 = torch.aten.item %925 : !torch.vtensor<[1],si64> -> !torch.int
    %927 = torch.aten.eq.int %926, %int0_270 : !torch.int, !torch.int -> !torch.bool
    %928 = torch.aten.Int.bool %927 : !torch.bool -> !torch.int
    %int2_276 = torch.constant.int 2
    %929 = torch.aten.size.int %879, %int2_276 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.int -> !torch.int
    %930 = torch.prim.NumToTensor.Scalar %928 : !torch.int -> !torch.vtensor<[],i1>
    %931 = torch.prim.NumToTensor.Scalar %929 : !torch.int -> !torch.vtensor<[],si64>
    %932 = torch.prim.NumToTensor.Scalar %926 : !torch.int -> !torch.vtensor<[],si64>
    %933 = torch.aten.where.self %930, %931, %932 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %934 = torch.aten.item %933 : !torch.vtensor<[],si64> -> !torch.int
    %935 = torch.prim.ListConstruct %914, %924, %934 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %936 = torch.aten.reshape %879, %935 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[?,8,?],f32>
    %937 = torch.vtensor.literal(dense<1.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %938 = torch.vtensor.literal(dense<0.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %none_277 = torch.constant.none
    %true_278 = torch.constant.bool true
    %false_279 = torch.constant.bool false
    %float9.999990e-06_280 = torch.constant.float 9.9999997473787516E-6
    %float0.000000e00_281 = torch.constant.float 0.000000e+00
    %939 = torch.aten.instance_norm %936, %937, %938, %none_277, %none_277, %true_278, %float0.000000e00_281, %float9.999990e-06_280, %false_279 : !torch.vtensor<[?,8,?],f32>, !torch.vtensor<[8],f32>, !torch.vtensor<[8],f32>, !torch.none, !torch.none, !torch.bool, !torch.float, !torch.float, !torch.bool -> !torch.vtensor<[?,8,?],f32>
    %940 = torch.aten._shape_as_tensor %879 : !torch.vtensor<[?,64,?,?,?],f32> -> !torch.vtensor<[5],si64>
    %int0_282 = torch.constant.int 0
    %int0_283 = torch.constant.int 0
    %941 = torch.aten.select.int %940, %int0_282, %int0_283 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %942 = torch.aten.item %941 : !torch.vtensor<[1],si64> -> !torch.int
    %943 = torch.aten.eq.int %942, %int0_282 : !torch.int, !torch.int -> !torch.bool
    %944 = torch.aten.Int.bool %943 : !torch.bool -> !torch.int
    %int0_284 = torch.constant.int 0
    %945 = torch.aten.size.int %939, %int0_284 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %946 = torch.prim.NumToTensor.Scalar %944 : !torch.int -> !torch.vtensor<[],i1>
    %947 = torch.prim.NumToTensor.Scalar %945 : !torch.int -> !torch.vtensor<[],si64>
    %948 = torch.prim.NumToTensor.Scalar %942 : !torch.int -> !torch.vtensor<[],si64>
    %949 = torch.aten.where.self %946, %947, %948 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %950 = torch.aten.item %949 : !torch.vtensor<[],si64> -> !torch.int
    %int1_285 = torch.constant.int 1
    %951 = torch.aten.select.int %940, %int0_282, %int1_285 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %952 = torch.aten.item %951 : !torch.vtensor<[1],si64> -> !torch.int
    %953 = torch.aten.eq.int %952, %int0_282 : !torch.int, !torch.int -> !torch.bool
    %954 = torch.aten.Int.bool %953 : !torch.bool -> !torch.int
    %int1_286 = torch.constant.int 1
    %955 = torch.aten.size.int %939, %int1_286 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %956 = torch.prim.NumToTensor.Scalar %954 : !torch.int -> !torch.vtensor<[],i1>
    %957 = torch.prim.NumToTensor.Scalar %955 : !torch.int -> !torch.vtensor<[],si64>
    %958 = torch.prim.NumToTensor.Scalar %952 : !torch.int -> !torch.vtensor<[],si64>
    %959 = torch.aten.where.self %956, %957, %958 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %960 = torch.aten.item %959 : !torch.vtensor<[],si64> -> !torch.int
    %int2_287 = torch.constant.int 2
    %961 = torch.aten.select.int %940, %int0_282, %int2_287 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %962 = torch.aten.item %961 : !torch.vtensor<[1],si64> -> !torch.int
    %963 = torch.aten.eq.int %962, %int0_282 : !torch.int, !torch.int -> !torch.bool
    %964 = torch.aten.Int.bool %963 : !torch.bool -> !torch.int
    %int2_288 = torch.constant.int 2
    %965 = torch.aten.size.int %939, %int2_288 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %966 = torch.prim.NumToTensor.Scalar %964 : !torch.int -> !torch.vtensor<[],i1>
    %967 = torch.prim.NumToTensor.Scalar %965 : !torch.int -> !torch.vtensor<[],si64>
    %968 = torch.prim.NumToTensor.Scalar %962 : !torch.int -> !torch.vtensor<[],si64>
    %969 = torch.aten.where.self %966, %967, %968 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %970 = torch.aten.item %969 : !torch.vtensor<[],si64> -> !torch.int
    %int3_289 = torch.constant.int 3
    %971 = torch.aten.select.int %940, %int0_282, %int3_289 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %972 = torch.aten.item %971 : !torch.vtensor<[1],si64> -> !torch.int
    %973 = torch.aten.eq.int %972, %int0_282 : !torch.int, !torch.int -> !torch.bool
    %974 = torch.aten.Int.bool %973 : !torch.bool -> !torch.int
    %int4_290 = torch.constant.int 4
    %975 = torch.aten.select.int %940, %int0_282, %int4_290 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %976 = torch.aten.item %975 : !torch.vtensor<[1],si64> -> !torch.int
    %977 = torch.aten.eq.int %976, %int0_282 : !torch.int, !torch.int -> !torch.bool
    %978 = torch.aten.Int.bool %977 : !torch.bool -> !torch.int
    %979 = torch.prim.ListConstruct %950, %960, %970, %972, %976 : (!torch.int, !torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %980 = torch.aten.reshape %939, %979 : !torch.vtensor<[?,8,?],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?,?,?],f32>
    %981 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_291 = torch.constant.int 0
    %int1_292 = torch.constant.int 1
    %int0_293 = torch.constant.int 0
    %982 = torch.aten.select.int %981, %int0_291, %int0_293 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %983 = torch.aten.item %982 : !torch.vtensor<[1],si64> -> !torch.int
    %984 = torch.aten.lt.int %983, %int0_291 : !torch.int, !torch.int -> !torch.bool
    %985 = torch.aten.Int.bool %984 : !torch.bool -> !torch.int
    %986 = torch.aten.mul.int %985, %int1_292 : !torch.int, !torch.int -> !torch.int
    %987 = torch.aten.add.int %983, %986 : !torch.int, !torch.int -> !torch.int
    %int1_294 = torch.constant.int 1
    %988 = torch.aten.select.int %981, %int0_291, %int1_294 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %989 = torch.aten.item %988 : !torch.vtensor<[1],si64> -> !torch.int
    %990 = torch.aten.lt.int %989, %int0_291 : !torch.int, !torch.int -> !torch.bool
    %991 = torch.aten.Int.bool %990 : !torch.bool -> !torch.int
    %992 = torch.aten.mul.int %991, %int1_292 : !torch.int, !torch.int -> !torch.int
    %993 = torch.aten.add.int %989, %992 : !torch.int, !torch.int -> !torch.int
    %int2_295 = torch.constant.int 2
    %994 = torch.aten.select.int %981, %int0_291, %int2_295 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %995 = torch.aten.item %994 : !torch.vtensor<[1],si64> -> !torch.int
    %996 = torch.aten.lt.int %995, %int0_291 : !torch.int, !torch.int -> !torch.bool
    %997 = torch.aten.Int.bool %996 : !torch.bool -> !torch.int
    %998 = torch.aten.mul.int %997, %int1_292 : !torch.int, !torch.int -> !torch.int
    %999 = torch.aten.add.int %995, %998 : !torch.int, !torch.int -> !torch.int
    %1000 = torch.prim.ListConstruct %987, %993, %999 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_296 = torch.constant.bool false
    %none_297 = torch.constant.none
    %1001 = torch.aten.tensor %1000, %none_297, %none_297, %false_296 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_298, %indices_299 = torch.aten.sort %1001, %int0_291, %false_296 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_300 = torch.constant.int 0
    %1002 = torch.aten.select.int %values_298, %int0_291, %int0_300 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1003 = torch.aten.item %1002 : !torch.vtensor<[1],si64> -> !torch.int
    %1004 = torch.aten.unsqueeze %891, %1003 : !torch.vtensor<[64],f32>, !torch.int -> !torch.vtensor
    %int1_301 = torch.constant.int 1
    %1005 = torch.aten.select.int %values_298, %int0_291, %int1_301 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1006 = torch.aten.item %1005 : !torch.vtensor<[1],si64> -> !torch.int
    %1007 = torch.aten.unsqueeze %1004, %1006 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_302 = torch.constant.int 2
    %1008 = torch.aten.select.int %values_298, %int0_291, %int2_302 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1009 = torch.aten.item %1008 : !torch.vtensor<[1],si64> -> !torch.int
    %1010 = torch.aten.unsqueeze %1007, %1009 : !torch.vtensor, !torch.int -> !torch.vtensor<[64,1,1,1],f32>
    %1011 = torch.aten.mul.Tensor %980, %1010 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.vtensor<[64,1,1,1],f32> -> !torch.vtensor<[?,64,?,?,?],f32>
    %1012 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_303 = torch.constant.int 0
    %int1_304 = torch.constant.int 1
    %int0_305 = torch.constant.int 0
    %1013 = torch.aten.select.int %1012, %int0_303, %int0_305 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1014 = torch.aten.item %1013 : !torch.vtensor<[1],si64> -> !torch.int
    %1015 = torch.aten.lt.int %1014, %int0_303 : !torch.int, !torch.int -> !torch.bool
    %1016 = torch.aten.Int.bool %1015 : !torch.bool -> !torch.int
    %1017 = torch.aten.mul.int %1016, %int1_304 : !torch.int, !torch.int -> !torch.int
    %1018 = torch.aten.add.int %1014, %1017 : !torch.int, !torch.int -> !torch.int
    %int1_306 = torch.constant.int 1
    %1019 = torch.aten.select.int %1012, %int0_303, %int1_306 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1020 = torch.aten.item %1019 : !torch.vtensor<[1],si64> -> !torch.int
    %1021 = torch.aten.lt.int %1020, %int0_303 : !torch.int, !torch.int -> !torch.bool
    %1022 = torch.aten.Int.bool %1021 : !torch.bool -> !torch.int
    %1023 = torch.aten.mul.int %1022, %int1_304 : !torch.int, !torch.int -> !torch.int
    %1024 = torch.aten.add.int %1020, %1023 : !torch.int, !torch.int -> !torch.int
    %int2_307 = torch.constant.int 2
    %1025 = torch.aten.select.int %1012, %int0_303, %int2_307 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1026 = torch.aten.item %1025 : !torch.vtensor<[1],si64> -> !torch.int
    %1027 = torch.aten.lt.int %1026, %int0_303 : !torch.int, !torch.int -> !torch.bool
    %1028 = torch.aten.Int.bool %1027 : !torch.bool -> !torch.int
    %1029 = torch.aten.mul.int %1028, %int1_304 : !torch.int, !torch.int -> !torch.int
    %1030 = torch.aten.add.int %1026, %1029 : !torch.int, !torch.int -> !torch.int
    %1031 = torch.prim.ListConstruct %1018, %1024, %1030 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_308 = torch.constant.bool false
    %none_309 = torch.constant.none
    %1032 = torch.aten.tensor %1031, %none_309, %none_309, %false_308 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_310, %indices_311 = torch.aten.sort %1032, %int0_303, %false_308 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_312 = torch.constant.int 0
    %1033 = torch.aten.select.int %values_310, %int0_303, %int0_312 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1034 = torch.aten.item %1033 : !torch.vtensor<[1],si64> -> !torch.int
    %1035 = torch.aten.unsqueeze %903, %1034 : !torch.vtensor<[64],f32>, !torch.int -> !torch.vtensor
    %int1_313 = torch.constant.int 1
    %1036 = torch.aten.select.int %values_310, %int0_303, %int1_313 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1037 = torch.aten.item %1036 : !torch.vtensor<[1],si64> -> !torch.int
    %1038 = torch.aten.unsqueeze %1035, %1037 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_314 = torch.constant.int 2
    %1039 = torch.aten.select.int %values_310, %int0_303, %int2_314 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1040 = torch.aten.item %1039 : !torch.vtensor<[1],si64> -> !torch.int
    %1041 = torch.aten.unsqueeze %1038, %1040 : !torch.vtensor, !torch.int -> !torch.vtensor<[64,1,1,1],f32>
    %int1_315 = torch.constant.int 1
    %1042 = torch.aten.add.Tensor %1011, %1041, %int1_315 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.vtensor<[64,1,1,1],f32>, !torch.int -> !torch.vtensor<[?,64,?,?,?],f32>
    %1043 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1044 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_316 = torch.constant.int 12
    %1045 = torch.aten.item %1043 : !torch.vtensor<[],f32> -> !torch.float
    %1046 = torch.aten.item %1044 : !torch.vtensor<[],si8> -> !torch.int
    %1047 = torch.aten.quantize_per_tensor %1042, %1045, %1046, %int12_316 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,64,?,?,?],!torch.qint8>
    %1048 = torch.aten.int_repr %1047 : !torch.vtensor<[?,64,?,?,?],!torch.qint8> -> !torch.vtensor<[?,64,?,?,?],si8>
    %1049 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1050 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1051 = torch.aten.item %1049 : !torch.vtensor<[],f32> -> !torch.float
    %1052 = torch.aten.item %1050 : !torch.vtensor<[],si8> -> !torch.int
    %1053 = torch.aten._make_per_tensor_quantized_tensor %1048, %1051, %1052 : !torch.vtensor<[?,64,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,64,?,?,?],!torch.qint8>
    %1054 = torch.aten.dequantize.self %1053 : !torch.vtensor<[?,64,?,?,?],!torch.qint8> -> !torch.vtensor<[?,64,?,?,?],f32>
    %1055 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1056 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_317 = torch.constant.int 12
    %1057 = torch.aten.item %1055 : !torch.vtensor<[],f32> -> !torch.float
    %1058 = torch.aten.item %1056 : !torch.vtensor<[],si8> -> !torch.int
    %1059 = torch.aten.quantize_per_tensor %14, %1057, %1058, %int12_317 : !torch.vtensor<[64,64,3,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,3,3,3],!torch.qint8>
    %1060 = torch.aten.int_repr %1059 : !torch.vtensor<[64,64,3,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3,3],si8>
    %1061 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1062 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1063 = torch.aten.item %1061 : !torch.vtensor<[],f32> -> !torch.float
    %1064 = torch.aten.item %1062 : !torch.vtensor<[],si8> -> !torch.int
    %1065 = torch.aten._make_per_tensor_quantized_tensor %1060, %1063, %1064 : !torch.vtensor<[64,64,3,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,3,3,3],!torch.qint8>
    %1066 = torch.aten.dequantize.self %1065 : !torch.vtensor<[64,64,3,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3,3],f32>
    %int1_318 = torch.constant.int 1
    %int1_319 = torch.constant.int 1
    %int1_320 = torch.constant.int 1
    %int1_321 = torch.constant.int 1
    %int1_322 = torch.constant.int 1
    %int1_323 = torch.constant.int 1
    %int1_324 = torch.constant.int 1
    %int1_325 = torch.constant.int 1
    %int1_326 = torch.constant.int 1
    %int0_327 = torch.constant.int 0
    %1067 = torch.prim.ListConstruct %int1_318, %int1_319, %int1_320 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1068 = torch.prim.ListConstruct %int1_321, %int1_322, %int1_323 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1069 = torch.prim.ListConstruct %int1_324, %int1_325, %int1_326 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1070 = torch.prim.ListConstruct %int0_327, %int0_327 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_328 = torch.constant.bool false
    %none_329 = torch.constant.none
    %int1_330 = torch.constant.int 1
    %1071 = torch.aten.convolution %1054, %1066, %none_329, %1069, %1067, %1068, %false_328, %1070, %int1_330 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.vtensor<[64,64,3,3,3],f32>, !torch.none, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[?,64,?,?,?],f32>
    %1072 = torch.aten.relu %1071 : !torch.vtensor<[?,64,?,?,?],f32> -> !torch.vtensor<[?,64,?,?,?],f32>
    %1073 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %1074 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_331 = torch.constant.int 12
    %1075 = torch.aten.item %1073 : !torch.vtensor<[],f32> -> !torch.float
    %1076 = torch.aten.item %1074 : !torch.vtensor<[],si8> -> !torch.int
    %1077 = torch.aten.quantize_per_tensor %1072, %1075, %1076, %int12_331 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,64,?,?,?],!torch.qint8>
    %1078 = torch.aten.int_repr %1077 : !torch.vtensor<[?,64,?,?,?],!torch.qint8> -> !torch.vtensor<[?,64,?,?,?],si8>
    %1079 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %1080 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1081 = torch.aten.item %1079 : !torch.vtensor<[],f32> -> !torch.float
    %1082 = torch.aten.item %1080 : !torch.vtensor<[],si8> -> !torch.int
    %1083 = torch.aten._make_per_tensor_quantized_tensor %1078, %1081, %1082 : !torch.vtensor<[?,64,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,64,?,?,?],!torch.qint8>
    %1084 = torch.aten.dequantize.self %1083 : !torch.vtensor<[?,64,?,?,?],!torch.qint8> -> !torch.vtensor<[?,64,?,?,?],f32>
    %1085 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1086 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_332 = torch.constant.int 12
    %1087 = torch.aten.item %1085 : !torch.vtensor<[],f32> -> !torch.float
    %1088 = torch.aten.item %1086 : !torch.vtensor<[],si8> -> !torch.int
    %1089 = torch.aten.quantize_per_tensor %15, %1087, %1088, %int12_332 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %1090 = torch.aten.int_repr %1089 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %1091 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1092 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1093 = torch.aten.item %1091 : !torch.vtensor<[],f32> -> !torch.float
    %1094 = torch.aten.item %1092 : !torch.vtensor<[],si8> -> !torch.int
    %1095 = torch.aten._make_per_tensor_quantized_tensor %1090, %1093, %1094 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %1096 = torch.aten.dequantize.self %1095 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %1097 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1098 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_333 = torch.constant.int 12
    %1099 = torch.aten.item %1097 : !torch.vtensor<[],f32> -> !torch.float
    %1100 = torch.aten.item %1098 : !torch.vtensor<[],si8> -> !torch.int
    %1101 = torch.aten.quantize_per_tensor %16, %1099, %1100, %int12_333 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %1102 = torch.aten.int_repr %1101 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %1103 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1104 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1105 = torch.aten.item %1103 : !torch.vtensor<[],f32> -> !torch.float
    %1106 = torch.aten.item %1104 : !torch.vtensor<[],si8> -> !torch.int
    %1107 = torch.aten._make_per_tensor_quantized_tensor %1102, %1105, %1106 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %1108 = torch.aten.dequantize.self %1107 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %1109 = torch.vtensor.literal(dense<[0, 8, -1]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_334 = torch.constant.int 0
    %int0_335 = torch.constant.int 0
    %1110 = torch.aten.select.int %1109, %int0_334, %int0_335 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1111 = torch.aten.item %1110 : !torch.vtensor<[1],si64> -> !torch.int
    %1112 = torch.aten.eq.int %1111, %int0_334 : !torch.int, !torch.int -> !torch.bool
    %1113 = torch.aten.Int.bool %1112 : !torch.bool -> !torch.int
    %int0_336 = torch.constant.int 0
    %1114 = torch.aten.size.int %1084, %int0_336 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.int -> !torch.int
    %1115 = torch.prim.NumToTensor.Scalar %1113 : !torch.int -> !torch.vtensor<[],i1>
    %1116 = torch.prim.NumToTensor.Scalar %1114 : !torch.int -> !torch.vtensor<[],si64>
    %1117 = torch.prim.NumToTensor.Scalar %1111 : !torch.int -> !torch.vtensor<[],si64>
    %1118 = torch.aten.where.self %1115, %1116, %1117 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1119 = torch.aten.item %1118 : !torch.vtensor<[],si64> -> !torch.int
    %int1_337 = torch.constant.int 1
    %1120 = torch.aten.select.int %1109, %int0_334, %int1_337 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1121 = torch.aten.item %1120 : !torch.vtensor<[1],si64> -> !torch.int
    %1122 = torch.aten.eq.int %1121, %int0_334 : !torch.int, !torch.int -> !torch.bool
    %1123 = torch.aten.Int.bool %1122 : !torch.bool -> !torch.int
    %int1_338 = torch.constant.int 1
    %1124 = torch.aten.size.int %1084, %int1_338 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.int -> !torch.int
    %1125 = torch.prim.NumToTensor.Scalar %1123 : !torch.int -> !torch.vtensor<[],i1>
    %1126 = torch.prim.NumToTensor.Scalar %1124 : !torch.int -> !torch.vtensor<[],si64>
    %1127 = torch.prim.NumToTensor.Scalar %1121 : !torch.int -> !torch.vtensor<[],si64>
    %1128 = torch.aten.where.self %1125, %1126, %1127 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1129 = torch.aten.item %1128 : !torch.vtensor<[],si64> -> !torch.int
    %int2_339 = torch.constant.int 2
    %1130 = torch.aten.select.int %1109, %int0_334, %int2_339 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1131 = torch.aten.item %1130 : !torch.vtensor<[1],si64> -> !torch.int
    %1132 = torch.aten.eq.int %1131, %int0_334 : !torch.int, !torch.int -> !torch.bool
    %1133 = torch.aten.Int.bool %1132 : !torch.bool -> !torch.int
    %int2_340 = torch.constant.int 2
    %1134 = torch.aten.size.int %1084, %int2_340 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.int -> !torch.int
    %1135 = torch.prim.NumToTensor.Scalar %1133 : !torch.int -> !torch.vtensor<[],i1>
    %1136 = torch.prim.NumToTensor.Scalar %1134 : !torch.int -> !torch.vtensor<[],si64>
    %1137 = torch.prim.NumToTensor.Scalar %1131 : !torch.int -> !torch.vtensor<[],si64>
    %1138 = torch.aten.where.self %1135, %1136, %1137 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1139 = torch.aten.item %1138 : !torch.vtensor<[],si64> -> !torch.int
    %1140 = torch.prim.ListConstruct %1119, %1129, %1139 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1141 = torch.aten.reshape %1084, %1140 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[?,8,?],f32>
    %1142 = torch.vtensor.literal(dense<1.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %1143 = torch.vtensor.literal(dense<0.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %none_341 = torch.constant.none
    %true_342 = torch.constant.bool true
    %false_343 = torch.constant.bool false
    %float9.999990e-06_344 = torch.constant.float 9.9999997473787516E-6
    %float0.000000e00_345 = torch.constant.float 0.000000e+00
    %1144 = torch.aten.instance_norm %1141, %1142, %1143, %none_341, %none_341, %true_342, %float0.000000e00_345, %float9.999990e-06_344, %false_343 : !torch.vtensor<[?,8,?],f32>, !torch.vtensor<[8],f32>, !torch.vtensor<[8],f32>, !torch.none, !torch.none, !torch.bool, !torch.float, !torch.float, !torch.bool -> !torch.vtensor<[?,8,?],f32>
    %1145 = torch.aten._shape_as_tensor %1084 : !torch.vtensor<[?,64,?,?,?],f32> -> !torch.vtensor<[5],si64>
    %int0_346 = torch.constant.int 0
    %int0_347 = torch.constant.int 0
    %1146 = torch.aten.select.int %1145, %int0_346, %int0_347 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1147 = torch.aten.item %1146 : !torch.vtensor<[1],si64> -> !torch.int
    %1148 = torch.aten.eq.int %1147, %int0_346 : !torch.int, !torch.int -> !torch.bool
    %1149 = torch.aten.Int.bool %1148 : !torch.bool -> !torch.int
    %int0_348 = torch.constant.int 0
    %1150 = torch.aten.size.int %1144, %int0_348 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %1151 = torch.prim.NumToTensor.Scalar %1149 : !torch.int -> !torch.vtensor<[],i1>
    %1152 = torch.prim.NumToTensor.Scalar %1150 : !torch.int -> !torch.vtensor<[],si64>
    %1153 = torch.prim.NumToTensor.Scalar %1147 : !torch.int -> !torch.vtensor<[],si64>
    %1154 = torch.aten.where.self %1151, %1152, %1153 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1155 = torch.aten.item %1154 : !torch.vtensor<[],si64> -> !torch.int
    %int1_349 = torch.constant.int 1
    %1156 = torch.aten.select.int %1145, %int0_346, %int1_349 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1157 = torch.aten.item %1156 : !torch.vtensor<[1],si64> -> !torch.int
    %1158 = torch.aten.eq.int %1157, %int0_346 : !torch.int, !torch.int -> !torch.bool
    %1159 = torch.aten.Int.bool %1158 : !torch.bool -> !torch.int
    %int1_350 = torch.constant.int 1
    %1160 = torch.aten.size.int %1144, %int1_350 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %1161 = torch.prim.NumToTensor.Scalar %1159 : !torch.int -> !torch.vtensor<[],i1>
    %1162 = torch.prim.NumToTensor.Scalar %1160 : !torch.int -> !torch.vtensor<[],si64>
    %1163 = torch.prim.NumToTensor.Scalar %1157 : !torch.int -> !torch.vtensor<[],si64>
    %1164 = torch.aten.where.self %1161, %1162, %1163 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1165 = torch.aten.item %1164 : !torch.vtensor<[],si64> -> !torch.int
    %int2_351 = torch.constant.int 2
    %1166 = torch.aten.select.int %1145, %int0_346, %int2_351 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1167 = torch.aten.item %1166 : !torch.vtensor<[1],si64> -> !torch.int
    %1168 = torch.aten.eq.int %1167, %int0_346 : !torch.int, !torch.int -> !torch.bool
    %1169 = torch.aten.Int.bool %1168 : !torch.bool -> !torch.int
    %int2_352 = torch.constant.int 2
    %1170 = torch.aten.size.int %1144, %int2_352 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %1171 = torch.prim.NumToTensor.Scalar %1169 : !torch.int -> !torch.vtensor<[],i1>
    %1172 = torch.prim.NumToTensor.Scalar %1170 : !torch.int -> !torch.vtensor<[],si64>
    %1173 = torch.prim.NumToTensor.Scalar %1167 : !torch.int -> !torch.vtensor<[],si64>
    %1174 = torch.aten.where.self %1171, %1172, %1173 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1175 = torch.aten.item %1174 : !torch.vtensor<[],si64> -> !torch.int
    %int3_353 = torch.constant.int 3
    %1176 = torch.aten.select.int %1145, %int0_346, %int3_353 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1177 = torch.aten.item %1176 : !torch.vtensor<[1],si64> -> !torch.int
    %1178 = torch.aten.eq.int %1177, %int0_346 : !torch.int, !torch.int -> !torch.bool
    %1179 = torch.aten.Int.bool %1178 : !torch.bool -> !torch.int
    %int4_354 = torch.constant.int 4
    %1180 = torch.aten.select.int %1145, %int0_346, %int4_354 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1181 = torch.aten.item %1180 : !torch.vtensor<[1],si64> -> !torch.int
    %1182 = torch.aten.eq.int %1181, %int0_346 : !torch.int, !torch.int -> !torch.bool
    %1183 = torch.aten.Int.bool %1182 : !torch.bool -> !torch.int
    %1184 = torch.prim.ListConstruct %1155, %1165, %1175, %1177, %1181 : (!torch.int, !torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1185 = torch.aten.reshape %1144, %1184 : !torch.vtensor<[?,8,?],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?,?,?],f32>
    %1186 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_355 = torch.constant.int 0
    %int1_356 = torch.constant.int 1
    %int0_357 = torch.constant.int 0
    %1187 = torch.aten.select.int %1186, %int0_355, %int0_357 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1188 = torch.aten.item %1187 : !torch.vtensor<[1],si64> -> !torch.int
    %1189 = torch.aten.lt.int %1188, %int0_355 : !torch.int, !torch.int -> !torch.bool
    %1190 = torch.aten.Int.bool %1189 : !torch.bool -> !torch.int
    %1191 = torch.aten.mul.int %1190, %int1_356 : !torch.int, !torch.int -> !torch.int
    %1192 = torch.aten.add.int %1188, %1191 : !torch.int, !torch.int -> !torch.int
    %int1_358 = torch.constant.int 1
    %1193 = torch.aten.select.int %1186, %int0_355, %int1_358 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1194 = torch.aten.item %1193 : !torch.vtensor<[1],si64> -> !torch.int
    %1195 = torch.aten.lt.int %1194, %int0_355 : !torch.int, !torch.int -> !torch.bool
    %1196 = torch.aten.Int.bool %1195 : !torch.bool -> !torch.int
    %1197 = torch.aten.mul.int %1196, %int1_356 : !torch.int, !torch.int -> !torch.int
    %1198 = torch.aten.add.int %1194, %1197 : !torch.int, !torch.int -> !torch.int
    %int2_359 = torch.constant.int 2
    %1199 = torch.aten.select.int %1186, %int0_355, %int2_359 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1200 = torch.aten.item %1199 : !torch.vtensor<[1],si64> -> !torch.int
    %1201 = torch.aten.lt.int %1200, %int0_355 : !torch.int, !torch.int -> !torch.bool
    %1202 = torch.aten.Int.bool %1201 : !torch.bool -> !torch.int
    %1203 = torch.aten.mul.int %1202, %int1_356 : !torch.int, !torch.int -> !torch.int
    %1204 = torch.aten.add.int %1200, %1203 : !torch.int, !torch.int -> !torch.int
    %1205 = torch.prim.ListConstruct %1192, %1198, %1204 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_360 = torch.constant.bool false
    %none_361 = torch.constant.none
    %1206 = torch.aten.tensor %1205, %none_361, %none_361, %false_360 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_362, %indices_363 = torch.aten.sort %1206, %int0_355, %false_360 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_364 = torch.constant.int 0
    %1207 = torch.aten.select.int %values_362, %int0_355, %int0_364 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1208 = torch.aten.item %1207 : !torch.vtensor<[1],si64> -> !torch.int
    %1209 = torch.aten.unsqueeze %1096, %1208 : !torch.vtensor<[64],f32>, !torch.int -> !torch.vtensor
    %int1_365 = torch.constant.int 1
    %1210 = torch.aten.select.int %values_362, %int0_355, %int1_365 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1211 = torch.aten.item %1210 : !torch.vtensor<[1],si64> -> !torch.int
    %1212 = torch.aten.unsqueeze %1209, %1211 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_366 = torch.constant.int 2
    %1213 = torch.aten.select.int %values_362, %int0_355, %int2_366 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1214 = torch.aten.item %1213 : !torch.vtensor<[1],si64> -> !torch.int
    %1215 = torch.aten.unsqueeze %1212, %1214 : !torch.vtensor, !torch.int -> !torch.vtensor<[64,1,1,1],f32>
    %1216 = torch.aten.mul.Tensor %1185, %1215 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.vtensor<[64,1,1,1],f32> -> !torch.vtensor<[?,64,?,?,?],f32>
    %1217 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_367 = torch.constant.int 0
    %int1_368 = torch.constant.int 1
    %int0_369 = torch.constant.int 0
    %1218 = torch.aten.select.int %1217, %int0_367, %int0_369 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1219 = torch.aten.item %1218 : !torch.vtensor<[1],si64> -> !torch.int
    %1220 = torch.aten.lt.int %1219, %int0_367 : !torch.int, !torch.int -> !torch.bool
    %1221 = torch.aten.Int.bool %1220 : !torch.bool -> !torch.int
    %1222 = torch.aten.mul.int %1221, %int1_368 : !torch.int, !torch.int -> !torch.int
    %1223 = torch.aten.add.int %1219, %1222 : !torch.int, !torch.int -> !torch.int
    %int1_370 = torch.constant.int 1
    %1224 = torch.aten.select.int %1217, %int0_367, %int1_370 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1225 = torch.aten.item %1224 : !torch.vtensor<[1],si64> -> !torch.int
    %1226 = torch.aten.lt.int %1225, %int0_367 : !torch.int, !torch.int -> !torch.bool
    %1227 = torch.aten.Int.bool %1226 : !torch.bool -> !torch.int
    %1228 = torch.aten.mul.int %1227, %int1_368 : !torch.int, !torch.int -> !torch.int
    %1229 = torch.aten.add.int %1225, %1228 : !torch.int, !torch.int -> !torch.int
    %int2_371 = torch.constant.int 2
    %1230 = torch.aten.select.int %1217, %int0_367, %int2_371 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1231 = torch.aten.item %1230 : !torch.vtensor<[1],si64> -> !torch.int
    %1232 = torch.aten.lt.int %1231, %int0_367 : !torch.int, !torch.int -> !torch.bool
    %1233 = torch.aten.Int.bool %1232 : !torch.bool -> !torch.int
    %1234 = torch.aten.mul.int %1233, %int1_368 : !torch.int, !torch.int -> !torch.int
    %1235 = torch.aten.add.int %1231, %1234 : !torch.int, !torch.int -> !torch.int
    %1236 = torch.prim.ListConstruct %1223, %1229, %1235 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_372 = torch.constant.bool false
    %none_373 = torch.constant.none
    %1237 = torch.aten.tensor %1236, %none_373, %none_373, %false_372 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_374, %indices_375 = torch.aten.sort %1237, %int0_367, %false_372 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_376 = torch.constant.int 0
    %1238 = torch.aten.select.int %values_374, %int0_367, %int0_376 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1239 = torch.aten.item %1238 : !torch.vtensor<[1],si64> -> !torch.int
    %1240 = torch.aten.unsqueeze %1108, %1239 : !torch.vtensor<[64],f32>, !torch.int -> !torch.vtensor
    %int1_377 = torch.constant.int 1
    %1241 = torch.aten.select.int %values_374, %int0_367, %int1_377 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1242 = torch.aten.item %1241 : !torch.vtensor<[1],si64> -> !torch.int
    %1243 = torch.aten.unsqueeze %1240, %1242 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_378 = torch.constant.int 2
    %1244 = torch.aten.select.int %values_374, %int0_367, %int2_378 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1245 = torch.aten.item %1244 : !torch.vtensor<[1],si64> -> !torch.int
    %1246 = torch.aten.unsqueeze %1243, %1245 : !torch.vtensor, !torch.int -> !torch.vtensor<[64,1,1,1],f32>
    %int1_379 = torch.constant.int 1
    %1247 = torch.aten.add.Tensor %1216, %1246, %int1_379 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.vtensor<[64,1,1,1],f32>, !torch.int -> !torch.vtensor<[?,64,?,?,?],f32>
    %1248 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1249 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_380 = torch.constant.int 12
    %1250 = torch.aten.item %1248 : !torch.vtensor<[],f32> -> !torch.float
    %1251 = torch.aten.item %1249 : !torch.vtensor<[],si8> -> !torch.int
    %1252 = torch.aten.quantize_per_tensor %1247, %1250, %1251, %int12_380 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,64,?,?,?],!torch.qint8>
    %1253 = torch.aten.int_repr %1252 : !torch.vtensor<[?,64,?,?,?],!torch.qint8> -> !torch.vtensor<[?,64,?,?,?],si8>
    %1254 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1255 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1256 = torch.aten.item %1254 : !torch.vtensor<[],f32> -> !torch.float
    %1257 = torch.aten.item %1255 : !torch.vtensor<[],si8> -> !torch.int
    %1258 = torch.aten._make_per_tensor_quantized_tensor %1253, %1256, %1257 : !torch.vtensor<[?,64,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,64,?,?,?],!torch.qint8>
    %1259 = torch.aten.dequantize.self %1258 : !torch.vtensor<[?,64,?,?,?],!torch.qint8> -> !torch.vtensor<[?,64,?,?,?],f32>
    %1260 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1261 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_381 = torch.constant.int 12
    %1262 = torch.aten.item %1260 : !torch.vtensor<[],f32> -> !torch.float
    %1263 = torch.aten.item %1261 : !torch.vtensor<[],si8> -> !torch.int
    %1264 = torch.aten.quantize_per_tensor %17, %1262, %1263, %int12_381 : !torch.vtensor<[128,64,3,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,64,3,3,3],!torch.qint8>
    %1265 = torch.aten.int_repr %1264 : !torch.vtensor<[128,64,3,3,3],!torch.qint8> -> !torch.vtensor<[128,64,3,3,3],si8>
    %1266 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1267 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1268 = torch.aten.item %1266 : !torch.vtensor<[],f32> -> !torch.float
    %1269 = torch.aten.item %1267 : !torch.vtensor<[],si8> -> !torch.int
    %1270 = torch.aten._make_per_tensor_quantized_tensor %1265, %1268, %1269 : !torch.vtensor<[128,64,3,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,64,3,3,3],!torch.qint8>
    %1271 = torch.aten.dequantize.self %1270 : !torch.vtensor<[128,64,3,3,3],!torch.qint8> -> !torch.vtensor<[128,64,3,3,3],f32>
    %int1_382 = torch.constant.int 1
    %int1_383 = torch.constant.int 1
    %int1_384 = torch.constant.int 1
    %int1_385 = torch.constant.int 1
    %int1_386 = torch.constant.int 1
    %int1_387 = torch.constant.int 1
    %int1_388 = torch.constant.int 1
    %int1_389 = torch.constant.int 1
    %int1_390 = torch.constant.int 1
    %int0_391 = torch.constant.int 0
    %1272 = torch.prim.ListConstruct %int1_382, %int1_383, %int1_384 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1273 = torch.prim.ListConstruct %int1_385, %int1_386, %int1_387 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1274 = torch.prim.ListConstruct %int1_388, %int1_389, %int1_390 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1275 = torch.prim.ListConstruct %int0_391, %int0_391 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_392 = torch.constant.bool false
    %none_393 = torch.constant.none
    %int1_394 = torch.constant.int 1
    %1276 = torch.aten.convolution %1259, %1271, %none_393, %1274, %1272, %1273, %false_392, %1275, %int1_394 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.vtensor<[128,64,3,3,3],f32>, !torch.none, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[?,128,?,?,?],f32>
    %1277 = torch.aten.relu %1276 : !torch.vtensor<[?,128,?,?,?],f32> -> !torch.vtensor<[?,128,?,?,?],f32>
    %1278 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %1279 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_395 = torch.constant.int 12
    %1280 = torch.aten.item %1278 : !torch.vtensor<[],f32> -> !torch.float
    %1281 = torch.aten.item %1279 : !torch.vtensor<[],si8> -> !torch.int
    %1282 = torch.aten.quantize_per_tensor %1277, %1280, %1281, %int12_395 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,128,?,?,?],!torch.qint8>
    %1283 = torch.aten.int_repr %1282 : !torch.vtensor<[?,128,?,?,?],!torch.qint8> -> !torch.vtensor<[?,128,?,?,?],si8>
    %1284 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %1285 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1286 = torch.aten.item %1284 : !torch.vtensor<[],f32> -> !torch.float
    %1287 = torch.aten.item %1285 : !torch.vtensor<[],si8> -> !torch.int
    %1288 = torch.aten._make_per_tensor_quantized_tensor %1283, %1286, %1287 : !torch.vtensor<[?,128,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,128,?,?,?],!torch.qint8>
    %1289 = torch.aten.dequantize.self %1288 : !torch.vtensor<[?,128,?,?,?],!torch.qint8> -> !torch.vtensor<[?,128,?,?,?],f32>
    %int2_396 = torch.constant.int 2
    %int2_397 = torch.constant.int 2
    %int2_398 = torch.constant.int 2
    %1290 = torch.prim.ListConstruct %int2_396, %int2_397, %int2_398 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %int0_399 = torch.constant.int 0
    %int0_400 = torch.constant.int 0
    %int0_401 = torch.constant.int 0
    %1291 = torch.prim.ListConstruct %int0_399, %int0_400, %int0_401 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %int2_402 = torch.constant.int 2
    %int2_403 = torch.constant.int 2
    %int2_404 = torch.constant.int 2
    %1292 = torch.prim.ListConstruct %int2_402, %int2_403, %int2_404 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %int1_405 = torch.constant.int 1
    %int1_406 = torch.constant.int 1
    %int1_407 = torch.constant.int 1
    %1293 = torch.prim.ListConstruct %int1_405, %int1_406, %int1_407 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_408 = torch.constant.bool false
    %1294 = torch.aten.max_pool3d %1289, %1290, %1292, %1291, %1293, %false_408 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.vtensor<[?,128,?,?,?],f32>
    %1295 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %1296 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_409 = torch.constant.int 12
    %1297 = torch.aten.item %1295 : !torch.vtensor<[],f32> -> !torch.float
    %1298 = torch.aten.item %1296 : !torch.vtensor<[],si8> -> !torch.int
    %1299 = torch.aten.quantize_per_tensor %1294, %1297, %1298, %int12_409 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,128,?,?,?],!torch.qint8>
    %1300 = torch.aten.int_repr %1299 : !torch.vtensor<[?,128,?,?,?],!torch.qint8> -> !torch.vtensor<[?,128,?,?,?],si8>
    %1301 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %1302 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1303 = torch.aten.item %1301 : !torch.vtensor<[],f32> -> !torch.float
    %1304 = torch.aten.item %1302 : !torch.vtensor<[],si8> -> !torch.int
    %1305 = torch.aten._make_per_tensor_quantized_tensor %1300, %1303, %1304 : !torch.vtensor<[?,128,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,128,?,?,?],!torch.qint8>
    %1306 = torch.aten.dequantize.self %1305 : !torch.vtensor<[?,128,?,?,?],!torch.qint8> -> !torch.vtensor<[?,128,?,?,?],f32>
    %1307 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1308 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_410 = torch.constant.int 12
    %1309 = torch.aten.item %1307 : !torch.vtensor<[],f32> -> !torch.float
    %1310 = torch.aten.item %1308 : !torch.vtensor<[],si8> -> !torch.int
    %1311 = torch.aten.quantize_per_tensor %18, %1309, %1310, %int12_410 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1312 = torch.aten.int_repr %1311 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %1313 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1314 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1315 = torch.aten.item %1313 : !torch.vtensor<[],f32> -> !torch.float
    %1316 = torch.aten.item %1314 : !torch.vtensor<[],si8> -> !torch.int
    %1317 = torch.aten._make_per_tensor_quantized_tensor %1312, %1315, %1316 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1318 = torch.aten.dequantize.self %1317 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %1319 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1320 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_411 = torch.constant.int 12
    %1321 = torch.aten.item %1319 : !torch.vtensor<[],f32> -> !torch.float
    %1322 = torch.aten.item %1320 : !torch.vtensor<[],si8> -> !torch.int
    %1323 = torch.aten.quantize_per_tensor %19, %1321, %1322, %int12_411 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1324 = torch.aten.int_repr %1323 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %1325 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1326 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1327 = torch.aten.item %1325 : !torch.vtensor<[],f32> -> !torch.float
    %1328 = torch.aten.item %1326 : !torch.vtensor<[],si8> -> !torch.int
    %1329 = torch.aten._make_per_tensor_quantized_tensor %1324, %1327, %1328 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1330 = torch.aten.dequantize.self %1329 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %1331 = torch.vtensor.literal(dense<[0, 8, -1]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_412 = torch.constant.int 0
    %int0_413 = torch.constant.int 0
    %1332 = torch.aten.select.int %1331, %int0_412, %int0_413 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1333 = torch.aten.item %1332 : !torch.vtensor<[1],si64> -> !torch.int
    %1334 = torch.aten.eq.int %1333, %int0_412 : !torch.int, !torch.int -> !torch.bool
    %1335 = torch.aten.Int.bool %1334 : !torch.bool -> !torch.int
    %int0_414 = torch.constant.int 0
    %1336 = torch.aten.size.int %1306, %int0_414 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.int -> !torch.int
    %1337 = torch.prim.NumToTensor.Scalar %1335 : !torch.int -> !torch.vtensor<[],i1>
    %1338 = torch.prim.NumToTensor.Scalar %1336 : !torch.int -> !torch.vtensor<[],si64>
    %1339 = torch.prim.NumToTensor.Scalar %1333 : !torch.int -> !torch.vtensor<[],si64>
    %1340 = torch.aten.where.self %1337, %1338, %1339 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1341 = torch.aten.item %1340 : !torch.vtensor<[],si64> -> !torch.int
    %int1_415 = torch.constant.int 1
    %1342 = torch.aten.select.int %1331, %int0_412, %int1_415 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1343 = torch.aten.item %1342 : !torch.vtensor<[1],si64> -> !torch.int
    %1344 = torch.aten.eq.int %1343, %int0_412 : !torch.int, !torch.int -> !torch.bool
    %1345 = torch.aten.Int.bool %1344 : !torch.bool -> !torch.int
    %int1_416 = torch.constant.int 1
    %1346 = torch.aten.size.int %1306, %int1_416 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.int -> !torch.int
    %1347 = torch.prim.NumToTensor.Scalar %1345 : !torch.int -> !torch.vtensor<[],i1>
    %1348 = torch.prim.NumToTensor.Scalar %1346 : !torch.int -> !torch.vtensor<[],si64>
    %1349 = torch.prim.NumToTensor.Scalar %1343 : !torch.int -> !torch.vtensor<[],si64>
    %1350 = torch.aten.where.self %1347, %1348, %1349 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1351 = torch.aten.item %1350 : !torch.vtensor<[],si64> -> !torch.int
    %int2_417 = torch.constant.int 2
    %1352 = torch.aten.select.int %1331, %int0_412, %int2_417 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1353 = torch.aten.item %1352 : !torch.vtensor<[1],si64> -> !torch.int
    %1354 = torch.aten.eq.int %1353, %int0_412 : !torch.int, !torch.int -> !torch.bool
    %1355 = torch.aten.Int.bool %1354 : !torch.bool -> !torch.int
    %int2_418 = torch.constant.int 2
    %1356 = torch.aten.size.int %1306, %int2_418 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.int -> !torch.int
    %1357 = torch.prim.NumToTensor.Scalar %1355 : !torch.int -> !torch.vtensor<[],i1>
    %1358 = torch.prim.NumToTensor.Scalar %1356 : !torch.int -> !torch.vtensor<[],si64>
    %1359 = torch.prim.NumToTensor.Scalar %1353 : !torch.int -> !torch.vtensor<[],si64>
    %1360 = torch.aten.where.self %1357, %1358, %1359 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1361 = torch.aten.item %1360 : !torch.vtensor<[],si64> -> !torch.int
    %1362 = torch.prim.ListConstruct %1341, %1351, %1361 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1363 = torch.aten.reshape %1306, %1362 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[?,8,?],f32>
    %1364 = torch.vtensor.literal(dense<1.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %1365 = torch.vtensor.literal(dense<0.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %none_419 = torch.constant.none
    %true_420 = torch.constant.bool true
    %false_421 = torch.constant.bool false
    %float9.999990e-06_422 = torch.constant.float 9.9999997473787516E-6
    %float0.000000e00_423 = torch.constant.float 0.000000e+00
    %1366 = torch.aten.instance_norm %1363, %1364, %1365, %none_419, %none_419, %true_420, %float0.000000e00_423, %float9.999990e-06_422, %false_421 : !torch.vtensor<[?,8,?],f32>, !torch.vtensor<[8],f32>, !torch.vtensor<[8],f32>, !torch.none, !torch.none, !torch.bool, !torch.float, !torch.float, !torch.bool -> !torch.vtensor<[?,8,?],f32>
    %1367 = torch.aten._shape_as_tensor %1306 : !torch.vtensor<[?,128,?,?,?],f32> -> !torch.vtensor<[5],si64>
    %int0_424 = torch.constant.int 0
    %int0_425 = torch.constant.int 0
    %1368 = torch.aten.select.int %1367, %int0_424, %int0_425 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1369 = torch.aten.item %1368 : !torch.vtensor<[1],si64> -> !torch.int
    %1370 = torch.aten.eq.int %1369, %int0_424 : !torch.int, !torch.int -> !torch.bool
    %1371 = torch.aten.Int.bool %1370 : !torch.bool -> !torch.int
    %int0_426 = torch.constant.int 0
    %1372 = torch.aten.size.int %1366, %int0_426 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %1373 = torch.prim.NumToTensor.Scalar %1371 : !torch.int -> !torch.vtensor<[],i1>
    %1374 = torch.prim.NumToTensor.Scalar %1372 : !torch.int -> !torch.vtensor<[],si64>
    %1375 = torch.prim.NumToTensor.Scalar %1369 : !torch.int -> !torch.vtensor<[],si64>
    %1376 = torch.aten.where.self %1373, %1374, %1375 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1377 = torch.aten.item %1376 : !torch.vtensor<[],si64> -> !torch.int
    %int1_427 = torch.constant.int 1
    %1378 = torch.aten.select.int %1367, %int0_424, %int1_427 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1379 = torch.aten.item %1378 : !torch.vtensor<[1],si64> -> !torch.int
    %1380 = torch.aten.eq.int %1379, %int0_424 : !torch.int, !torch.int -> !torch.bool
    %1381 = torch.aten.Int.bool %1380 : !torch.bool -> !torch.int
    %int1_428 = torch.constant.int 1
    %1382 = torch.aten.size.int %1366, %int1_428 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %1383 = torch.prim.NumToTensor.Scalar %1381 : !torch.int -> !torch.vtensor<[],i1>
    %1384 = torch.prim.NumToTensor.Scalar %1382 : !torch.int -> !torch.vtensor<[],si64>
    %1385 = torch.prim.NumToTensor.Scalar %1379 : !torch.int -> !torch.vtensor<[],si64>
    %1386 = torch.aten.where.self %1383, %1384, %1385 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1387 = torch.aten.item %1386 : !torch.vtensor<[],si64> -> !torch.int
    %int2_429 = torch.constant.int 2
    %1388 = torch.aten.select.int %1367, %int0_424, %int2_429 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1389 = torch.aten.item %1388 : !torch.vtensor<[1],si64> -> !torch.int
    %1390 = torch.aten.eq.int %1389, %int0_424 : !torch.int, !torch.int -> !torch.bool
    %1391 = torch.aten.Int.bool %1390 : !torch.bool -> !torch.int
    %int2_430 = torch.constant.int 2
    %1392 = torch.aten.size.int %1366, %int2_430 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %1393 = torch.prim.NumToTensor.Scalar %1391 : !torch.int -> !torch.vtensor<[],i1>
    %1394 = torch.prim.NumToTensor.Scalar %1392 : !torch.int -> !torch.vtensor<[],si64>
    %1395 = torch.prim.NumToTensor.Scalar %1389 : !torch.int -> !torch.vtensor<[],si64>
    %1396 = torch.aten.where.self %1393, %1394, %1395 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1397 = torch.aten.item %1396 : !torch.vtensor<[],si64> -> !torch.int
    %int3_431 = torch.constant.int 3
    %1398 = torch.aten.select.int %1367, %int0_424, %int3_431 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1399 = torch.aten.item %1398 : !torch.vtensor<[1],si64> -> !torch.int
    %1400 = torch.aten.eq.int %1399, %int0_424 : !torch.int, !torch.int -> !torch.bool
    %1401 = torch.aten.Int.bool %1400 : !torch.bool -> !torch.int
    %int4_432 = torch.constant.int 4
    %1402 = torch.aten.select.int %1367, %int0_424, %int4_432 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1403 = torch.aten.item %1402 : !torch.vtensor<[1],si64> -> !torch.int
    %1404 = torch.aten.eq.int %1403, %int0_424 : !torch.int, !torch.int -> !torch.bool
    %1405 = torch.aten.Int.bool %1404 : !torch.bool -> !torch.int
    %1406 = torch.prim.ListConstruct %1377, %1387, %1397, %1399, %1403 : (!torch.int, !torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1407 = torch.aten.reshape %1366, %1406 : !torch.vtensor<[?,8,?],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?,?,?],f32>
    %1408 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_433 = torch.constant.int 0
    %int1_434 = torch.constant.int 1
    %int0_435 = torch.constant.int 0
    %1409 = torch.aten.select.int %1408, %int0_433, %int0_435 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1410 = torch.aten.item %1409 : !torch.vtensor<[1],si64> -> !torch.int
    %1411 = torch.aten.lt.int %1410, %int0_433 : !torch.int, !torch.int -> !torch.bool
    %1412 = torch.aten.Int.bool %1411 : !torch.bool -> !torch.int
    %1413 = torch.aten.mul.int %1412, %int1_434 : !torch.int, !torch.int -> !torch.int
    %1414 = torch.aten.add.int %1410, %1413 : !torch.int, !torch.int -> !torch.int
    %int1_436 = torch.constant.int 1
    %1415 = torch.aten.select.int %1408, %int0_433, %int1_436 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1416 = torch.aten.item %1415 : !torch.vtensor<[1],si64> -> !torch.int
    %1417 = torch.aten.lt.int %1416, %int0_433 : !torch.int, !torch.int -> !torch.bool
    %1418 = torch.aten.Int.bool %1417 : !torch.bool -> !torch.int
    %1419 = torch.aten.mul.int %1418, %int1_434 : !torch.int, !torch.int -> !torch.int
    %1420 = torch.aten.add.int %1416, %1419 : !torch.int, !torch.int -> !torch.int
    %int2_437 = torch.constant.int 2
    %1421 = torch.aten.select.int %1408, %int0_433, %int2_437 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1422 = torch.aten.item %1421 : !torch.vtensor<[1],si64> -> !torch.int
    %1423 = torch.aten.lt.int %1422, %int0_433 : !torch.int, !torch.int -> !torch.bool
    %1424 = torch.aten.Int.bool %1423 : !torch.bool -> !torch.int
    %1425 = torch.aten.mul.int %1424, %int1_434 : !torch.int, !torch.int -> !torch.int
    %1426 = torch.aten.add.int %1422, %1425 : !torch.int, !torch.int -> !torch.int
    %1427 = torch.prim.ListConstruct %1414, %1420, %1426 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_438 = torch.constant.bool false
    %none_439 = torch.constant.none
    %1428 = torch.aten.tensor %1427, %none_439, %none_439, %false_438 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_440, %indices_441 = torch.aten.sort %1428, %int0_433, %false_438 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_442 = torch.constant.int 0
    %1429 = torch.aten.select.int %values_440, %int0_433, %int0_442 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1430 = torch.aten.item %1429 : !torch.vtensor<[1],si64> -> !torch.int
    %1431 = torch.aten.unsqueeze %1318, %1430 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor
    %int1_443 = torch.constant.int 1
    %1432 = torch.aten.select.int %values_440, %int0_433, %int1_443 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1433 = torch.aten.item %1432 : !torch.vtensor<[1],si64> -> !torch.int
    %1434 = torch.aten.unsqueeze %1431, %1433 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_444 = torch.constant.int 2
    %1435 = torch.aten.select.int %values_440, %int0_433, %int2_444 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1436 = torch.aten.item %1435 : !torch.vtensor<[1],si64> -> !torch.int
    %1437 = torch.aten.unsqueeze %1434, %1436 : !torch.vtensor, !torch.int -> !torch.vtensor<[128,1,1,1],f32>
    %1438 = torch.aten.mul.Tensor %1407, %1437 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.vtensor<[128,1,1,1],f32> -> !torch.vtensor<[?,128,?,?,?],f32>
    %1439 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_445 = torch.constant.int 0
    %int1_446 = torch.constant.int 1
    %int0_447 = torch.constant.int 0
    %1440 = torch.aten.select.int %1439, %int0_445, %int0_447 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1441 = torch.aten.item %1440 : !torch.vtensor<[1],si64> -> !torch.int
    %1442 = torch.aten.lt.int %1441, %int0_445 : !torch.int, !torch.int -> !torch.bool
    %1443 = torch.aten.Int.bool %1442 : !torch.bool -> !torch.int
    %1444 = torch.aten.mul.int %1443, %int1_446 : !torch.int, !torch.int -> !torch.int
    %1445 = torch.aten.add.int %1441, %1444 : !torch.int, !torch.int -> !torch.int
    %int1_448 = torch.constant.int 1
    %1446 = torch.aten.select.int %1439, %int0_445, %int1_448 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1447 = torch.aten.item %1446 : !torch.vtensor<[1],si64> -> !torch.int
    %1448 = torch.aten.lt.int %1447, %int0_445 : !torch.int, !torch.int -> !torch.bool
    %1449 = torch.aten.Int.bool %1448 : !torch.bool -> !torch.int
    %1450 = torch.aten.mul.int %1449, %int1_446 : !torch.int, !torch.int -> !torch.int
    %1451 = torch.aten.add.int %1447, %1450 : !torch.int, !torch.int -> !torch.int
    %int2_449 = torch.constant.int 2
    %1452 = torch.aten.select.int %1439, %int0_445, %int2_449 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1453 = torch.aten.item %1452 : !torch.vtensor<[1],si64> -> !torch.int
    %1454 = torch.aten.lt.int %1453, %int0_445 : !torch.int, !torch.int -> !torch.bool
    %1455 = torch.aten.Int.bool %1454 : !torch.bool -> !torch.int
    %1456 = torch.aten.mul.int %1455, %int1_446 : !torch.int, !torch.int -> !torch.int
    %1457 = torch.aten.add.int %1453, %1456 : !torch.int, !torch.int -> !torch.int
    %1458 = torch.prim.ListConstruct %1445, %1451, %1457 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_450 = torch.constant.bool false
    %none_451 = torch.constant.none
    %1459 = torch.aten.tensor %1458, %none_451, %none_451, %false_450 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_452, %indices_453 = torch.aten.sort %1459, %int0_445, %false_450 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_454 = torch.constant.int 0
    %1460 = torch.aten.select.int %values_452, %int0_445, %int0_454 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1461 = torch.aten.item %1460 : !torch.vtensor<[1],si64> -> !torch.int
    %1462 = torch.aten.unsqueeze %1330, %1461 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor
    %int1_455 = torch.constant.int 1
    %1463 = torch.aten.select.int %values_452, %int0_445, %int1_455 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1464 = torch.aten.item %1463 : !torch.vtensor<[1],si64> -> !torch.int
    %1465 = torch.aten.unsqueeze %1462, %1464 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_456 = torch.constant.int 2
    %1466 = torch.aten.select.int %values_452, %int0_445, %int2_456 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1467 = torch.aten.item %1466 : !torch.vtensor<[1],si64> -> !torch.int
    %1468 = torch.aten.unsqueeze %1465, %1467 : !torch.vtensor, !torch.int -> !torch.vtensor<[128,1,1,1],f32>
    %int1_457 = torch.constant.int 1
    %1469 = torch.aten.add.Tensor %1438, %1468, %int1_457 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.vtensor<[128,1,1,1],f32>, !torch.int -> !torch.vtensor<[?,128,?,?,?],f32>
    %1470 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1471 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_458 = torch.constant.int 12
    %1472 = torch.aten.item %1470 : !torch.vtensor<[],f32> -> !torch.float
    %1473 = torch.aten.item %1471 : !torch.vtensor<[],si8> -> !torch.int
    %1474 = torch.aten.quantize_per_tensor %1469, %1472, %1473, %int12_458 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,128,?,?,?],!torch.qint8>
    %1475 = torch.aten.int_repr %1474 : !torch.vtensor<[?,128,?,?,?],!torch.qint8> -> !torch.vtensor<[?,128,?,?,?],si8>
    %1476 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1477 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1478 = torch.aten.item %1476 : !torch.vtensor<[],f32> -> !torch.float
    %1479 = torch.aten.item %1477 : !torch.vtensor<[],si8> -> !torch.int
    %1480 = torch.aten._make_per_tensor_quantized_tensor %1475, %1478, %1479 : !torch.vtensor<[?,128,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,128,?,?,?],!torch.qint8>
    %1481 = torch.aten.dequantize.self %1480 : !torch.vtensor<[?,128,?,?,?],!torch.qint8> -> !torch.vtensor<[?,128,?,?,?],f32>
    %1482 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1483 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_459 = torch.constant.int 12
    %1484 = torch.aten.item %1482 : !torch.vtensor<[],f32> -> !torch.float
    %1485 = torch.aten.item %1483 : !torch.vtensor<[],si8> -> !torch.int
    %1486 = torch.aten.quantize_per_tensor %20, %1484, %1485, %int12_459 : !torch.vtensor<[128,128,3,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,128,3,3,3],!torch.qint8>
    %1487 = torch.aten.int_repr %1486 : !torch.vtensor<[128,128,3,3,3],!torch.qint8> -> !torch.vtensor<[128,128,3,3,3],si8>
    %1488 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1489 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1490 = torch.aten.item %1488 : !torch.vtensor<[],f32> -> !torch.float
    %1491 = torch.aten.item %1489 : !torch.vtensor<[],si8> -> !torch.int
    %1492 = torch.aten._make_per_tensor_quantized_tensor %1487, %1490, %1491 : !torch.vtensor<[128,128,3,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,128,3,3,3],!torch.qint8>
    %1493 = torch.aten.dequantize.self %1492 : !torch.vtensor<[128,128,3,3,3],!torch.qint8> -> !torch.vtensor<[128,128,3,3,3],f32>
    %int1_460 = torch.constant.int 1
    %int1_461 = torch.constant.int 1
    %int1_462 = torch.constant.int 1
    %int1_463 = torch.constant.int 1
    %int1_464 = torch.constant.int 1
    %int1_465 = torch.constant.int 1
    %int1_466 = torch.constant.int 1
    %int1_467 = torch.constant.int 1
    %int1_468 = torch.constant.int 1
    %int0_469 = torch.constant.int 0
    %1494 = torch.prim.ListConstruct %int1_460, %int1_461, %int1_462 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1495 = torch.prim.ListConstruct %int1_463, %int1_464, %int1_465 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1496 = torch.prim.ListConstruct %int1_466, %int1_467, %int1_468 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1497 = torch.prim.ListConstruct %int0_469, %int0_469 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_470 = torch.constant.bool false
    %none_471 = torch.constant.none
    %int1_472 = torch.constant.int 1
    %1498 = torch.aten.convolution %1481, %1493, %none_471, %1496, %1494, %1495, %false_470, %1497, %int1_472 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.vtensor<[128,128,3,3,3],f32>, !torch.none, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[?,128,?,?,?],f32>
    %1499 = torch.aten.relu %1498 : !torch.vtensor<[?,128,?,?,?],f32> -> !torch.vtensor<[?,128,?,?,?],f32>
    %1500 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %1501 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_473 = torch.constant.int 12
    %1502 = torch.aten.item %1500 : !torch.vtensor<[],f32> -> !torch.float
    %1503 = torch.aten.item %1501 : !torch.vtensor<[],si8> -> !torch.int
    %1504 = torch.aten.quantize_per_tensor %1499, %1502, %1503, %int12_473 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,128,?,?,?],!torch.qint8>
    %1505 = torch.aten.int_repr %1504 : !torch.vtensor<[?,128,?,?,?],!torch.qint8> -> !torch.vtensor<[?,128,?,?,?],si8>
    %1506 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %1507 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1508 = torch.aten.item %1506 : !torch.vtensor<[],f32> -> !torch.float
    %1509 = torch.aten.item %1507 : !torch.vtensor<[],si8> -> !torch.int
    %1510 = torch.aten._make_per_tensor_quantized_tensor %1505, %1508, %1509 : !torch.vtensor<[?,128,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,128,?,?,?],!torch.qint8>
    %1511 = torch.aten.dequantize.self %1510 : !torch.vtensor<[?,128,?,?,?],!torch.qint8> -> !torch.vtensor<[?,128,?,?,?],f32>
    %1512 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1513 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_474 = torch.constant.int 12
    %1514 = torch.aten.item %1512 : !torch.vtensor<[],f32> -> !torch.float
    %1515 = torch.aten.item %1513 : !torch.vtensor<[],si8> -> !torch.int
    %1516 = torch.aten.quantize_per_tensor %21, %1514, %1515, %int12_474 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1517 = torch.aten.int_repr %1516 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %1518 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1519 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1520 = torch.aten.item %1518 : !torch.vtensor<[],f32> -> !torch.float
    %1521 = torch.aten.item %1519 : !torch.vtensor<[],si8> -> !torch.int
    %1522 = torch.aten._make_per_tensor_quantized_tensor %1517, %1520, %1521 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1523 = torch.aten.dequantize.self %1522 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %1524 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1525 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_475 = torch.constant.int 12
    %1526 = torch.aten.item %1524 : !torch.vtensor<[],f32> -> !torch.float
    %1527 = torch.aten.item %1525 : !torch.vtensor<[],si8> -> !torch.int
    %1528 = torch.aten.quantize_per_tensor %22, %1526, %1527, %int12_475 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1529 = torch.aten.int_repr %1528 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %1530 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1531 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1532 = torch.aten.item %1530 : !torch.vtensor<[],f32> -> !torch.float
    %1533 = torch.aten.item %1531 : !torch.vtensor<[],si8> -> !torch.int
    %1534 = torch.aten._make_per_tensor_quantized_tensor %1529, %1532, %1533 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1535 = torch.aten.dequantize.self %1534 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %1536 = torch.vtensor.literal(dense<[0, 8, -1]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_476 = torch.constant.int 0
    %int0_477 = torch.constant.int 0
    %1537 = torch.aten.select.int %1536, %int0_476, %int0_477 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1538 = torch.aten.item %1537 : !torch.vtensor<[1],si64> -> !torch.int
    %1539 = torch.aten.eq.int %1538, %int0_476 : !torch.int, !torch.int -> !torch.bool
    %1540 = torch.aten.Int.bool %1539 : !torch.bool -> !torch.int
    %int0_478 = torch.constant.int 0
    %1541 = torch.aten.size.int %1511, %int0_478 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.int -> !torch.int
    %1542 = torch.prim.NumToTensor.Scalar %1540 : !torch.int -> !torch.vtensor<[],i1>
    %1543 = torch.prim.NumToTensor.Scalar %1541 : !torch.int -> !torch.vtensor<[],si64>
    %1544 = torch.prim.NumToTensor.Scalar %1538 : !torch.int -> !torch.vtensor<[],si64>
    %1545 = torch.aten.where.self %1542, %1543, %1544 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1546 = torch.aten.item %1545 : !torch.vtensor<[],si64> -> !torch.int
    %int1_479 = torch.constant.int 1
    %1547 = torch.aten.select.int %1536, %int0_476, %int1_479 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1548 = torch.aten.item %1547 : !torch.vtensor<[1],si64> -> !torch.int
    %1549 = torch.aten.eq.int %1548, %int0_476 : !torch.int, !torch.int -> !torch.bool
    %1550 = torch.aten.Int.bool %1549 : !torch.bool -> !torch.int
    %int1_480 = torch.constant.int 1
    %1551 = torch.aten.size.int %1511, %int1_480 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.int -> !torch.int
    %1552 = torch.prim.NumToTensor.Scalar %1550 : !torch.int -> !torch.vtensor<[],i1>
    %1553 = torch.prim.NumToTensor.Scalar %1551 : !torch.int -> !torch.vtensor<[],si64>
    %1554 = torch.prim.NumToTensor.Scalar %1548 : !torch.int -> !torch.vtensor<[],si64>
    %1555 = torch.aten.where.self %1552, %1553, %1554 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1556 = torch.aten.item %1555 : !torch.vtensor<[],si64> -> !torch.int
    %int2_481 = torch.constant.int 2
    %1557 = torch.aten.select.int %1536, %int0_476, %int2_481 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1558 = torch.aten.item %1557 : !torch.vtensor<[1],si64> -> !torch.int
    %1559 = torch.aten.eq.int %1558, %int0_476 : !torch.int, !torch.int -> !torch.bool
    %1560 = torch.aten.Int.bool %1559 : !torch.bool -> !torch.int
    %int2_482 = torch.constant.int 2
    %1561 = torch.aten.size.int %1511, %int2_482 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.int -> !torch.int
    %1562 = torch.prim.NumToTensor.Scalar %1560 : !torch.int -> !torch.vtensor<[],i1>
    %1563 = torch.prim.NumToTensor.Scalar %1561 : !torch.int -> !torch.vtensor<[],si64>
    %1564 = torch.prim.NumToTensor.Scalar %1558 : !torch.int -> !torch.vtensor<[],si64>
    %1565 = torch.aten.where.self %1562, %1563, %1564 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1566 = torch.aten.item %1565 : !torch.vtensor<[],si64> -> !torch.int
    %1567 = torch.prim.ListConstruct %1546, %1556, %1566 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1568 = torch.aten.reshape %1511, %1567 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[?,8,?],f32>
    %1569 = torch.vtensor.literal(dense<1.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %1570 = torch.vtensor.literal(dense<0.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %none_483 = torch.constant.none
    %true_484 = torch.constant.bool true
    %false_485 = torch.constant.bool false
    %float9.999990e-06_486 = torch.constant.float 9.9999997473787516E-6
    %float0.000000e00_487 = torch.constant.float 0.000000e+00
    %1571 = torch.aten.instance_norm %1568, %1569, %1570, %none_483, %none_483, %true_484, %float0.000000e00_487, %float9.999990e-06_486, %false_485 : !torch.vtensor<[?,8,?],f32>, !torch.vtensor<[8],f32>, !torch.vtensor<[8],f32>, !torch.none, !torch.none, !torch.bool, !torch.float, !torch.float, !torch.bool -> !torch.vtensor<[?,8,?],f32>
    %1572 = torch.aten._shape_as_tensor %1511 : !torch.vtensor<[?,128,?,?,?],f32> -> !torch.vtensor<[5],si64>
    %int0_488 = torch.constant.int 0
    %int0_489 = torch.constant.int 0
    %1573 = torch.aten.select.int %1572, %int0_488, %int0_489 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1574 = torch.aten.item %1573 : !torch.vtensor<[1],si64> -> !torch.int
    %1575 = torch.aten.eq.int %1574, %int0_488 : !torch.int, !torch.int -> !torch.bool
    %1576 = torch.aten.Int.bool %1575 : !torch.bool -> !torch.int
    %int0_490 = torch.constant.int 0
    %1577 = torch.aten.size.int %1571, %int0_490 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %1578 = torch.prim.NumToTensor.Scalar %1576 : !torch.int -> !torch.vtensor<[],i1>
    %1579 = torch.prim.NumToTensor.Scalar %1577 : !torch.int -> !torch.vtensor<[],si64>
    %1580 = torch.prim.NumToTensor.Scalar %1574 : !torch.int -> !torch.vtensor<[],si64>
    %1581 = torch.aten.where.self %1578, %1579, %1580 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1582 = torch.aten.item %1581 : !torch.vtensor<[],si64> -> !torch.int
    %int1_491 = torch.constant.int 1
    %1583 = torch.aten.select.int %1572, %int0_488, %int1_491 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1584 = torch.aten.item %1583 : !torch.vtensor<[1],si64> -> !torch.int
    %1585 = torch.aten.eq.int %1584, %int0_488 : !torch.int, !torch.int -> !torch.bool
    %1586 = torch.aten.Int.bool %1585 : !torch.bool -> !torch.int
    %int1_492 = torch.constant.int 1
    %1587 = torch.aten.size.int %1571, %int1_492 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %1588 = torch.prim.NumToTensor.Scalar %1586 : !torch.int -> !torch.vtensor<[],i1>
    %1589 = torch.prim.NumToTensor.Scalar %1587 : !torch.int -> !torch.vtensor<[],si64>
    %1590 = torch.prim.NumToTensor.Scalar %1584 : !torch.int -> !torch.vtensor<[],si64>
    %1591 = torch.aten.where.self %1588, %1589, %1590 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1592 = torch.aten.item %1591 : !torch.vtensor<[],si64> -> !torch.int
    %int2_493 = torch.constant.int 2
    %1593 = torch.aten.select.int %1572, %int0_488, %int2_493 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1594 = torch.aten.item %1593 : !torch.vtensor<[1],si64> -> !torch.int
    %1595 = torch.aten.eq.int %1594, %int0_488 : !torch.int, !torch.int -> !torch.bool
    %1596 = torch.aten.Int.bool %1595 : !torch.bool -> !torch.int
    %int2_494 = torch.constant.int 2
    %1597 = torch.aten.size.int %1571, %int2_494 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %1598 = torch.prim.NumToTensor.Scalar %1596 : !torch.int -> !torch.vtensor<[],i1>
    %1599 = torch.prim.NumToTensor.Scalar %1597 : !torch.int -> !torch.vtensor<[],si64>
    %1600 = torch.prim.NumToTensor.Scalar %1594 : !torch.int -> !torch.vtensor<[],si64>
    %1601 = torch.aten.where.self %1598, %1599, %1600 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1602 = torch.aten.item %1601 : !torch.vtensor<[],si64> -> !torch.int
    %int3_495 = torch.constant.int 3
    %1603 = torch.aten.select.int %1572, %int0_488, %int3_495 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1604 = torch.aten.item %1603 : !torch.vtensor<[1],si64> -> !torch.int
    %1605 = torch.aten.eq.int %1604, %int0_488 : !torch.int, !torch.int -> !torch.bool
    %1606 = torch.aten.Int.bool %1605 : !torch.bool -> !torch.int
    %int4_496 = torch.constant.int 4
    %1607 = torch.aten.select.int %1572, %int0_488, %int4_496 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1608 = torch.aten.item %1607 : !torch.vtensor<[1],si64> -> !torch.int
    %1609 = torch.aten.eq.int %1608, %int0_488 : !torch.int, !torch.int -> !torch.bool
    %1610 = torch.aten.Int.bool %1609 : !torch.bool -> !torch.int
    %1611 = torch.prim.ListConstruct %1582, %1592, %1602, %1604, %1608 : (!torch.int, !torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1612 = torch.aten.reshape %1571, %1611 : !torch.vtensor<[?,8,?],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?,?,?],f32>
    %1613 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_497 = torch.constant.int 0
    %int1_498 = torch.constant.int 1
    %int0_499 = torch.constant.int 0
    %1614 = torch.aten.select.int %1613, %int0_497, %int0_499 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1615 = torch.aten.item %1614 : !torch.vtensor<[1],si64> -> !torch.int
    %1616 = torch.aten.lt.int %1615, %int0_497 : !torch.int, !torch.int -> !torch.bool
    %1617 = torch.aten.Int.bool %1616 : !torch.bool -> !torch.int
    %1618 = torch.aten.mul.int %1617, %int1_498 : !torch.int, !torch.int -> !torch.int
    %1619 = torch.aten.add.int %1615, %1618 : !torch.int, !torch.int -> !torch.int
    %int1_500 = torch.constant.int 1
    %1620 = torch.aten.select.int %1613, %int0_497, %int1_500 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1621 = torch.aten.item %1620 : !torch.vtensor<[1],si64> -> !torch.int
    %1622 = torch.aten.lt.int %1621, %int0_497 : !torch.int, !torch.int -> !torch.bool
    %1623 = torch.aten.Int.bool %1622 : !torch.bool -> !torch.int
    %1624 = torch.aten.mul.int %1623, %int1_498 : !torch.int, !torch.int -> !torch.int
    %1625 = torch.aten.add.int %1621, %1624 : !torch.int, !torch.int -> !torch.int
    %int2_501 = torch.constant.int 2
    %1626 = torch.aten.select.int %1613, %int0_497, %int2_501 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1627 = torch.aten.item %1626 : !torch.vtensor<[1],si64> -> !torch.int
    %1628 = torch.aten.lt.int %1627, %int0_497 : !torch.int, !torch.int -> !torch.bool
    %1629 = torch.aten.Int.bool %1628 : !torch.bool -> !torch.int
    %1630 = torch.aten.mul.int %1629, %int1_498 : !torch.int, !torch.int -> !torch.int
    %1631 = torch.aten.add.int %1627, %1630 : !torch.int, !torch.int -> !torch.int
    %1632 = torch.prim.ListConstruct %1619, %1625, %1631 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_502 = torch.constant.bool false
    %none_503 = torch.constant.none
    %1633 = torch.aten.tensor %1632, %none_503, %none_503, %false_502 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_504, %indices_505 = torch.aten.sort %1633, %int0_497, %false_502 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_506 = torch.constant.int 0
    %1634 = torch.aten.select.int %values_504, %int0_497, %int0_506 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1635 = torch.aten.item %1634 : !torch.vtensor<[1],si64> -> !torch.int
    %1636 = torch.aten.unsqueeze %1523, %1635 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor
    %int1_507 = torch.constant.int 1
    %1637 = torch.aten.select.int %values_504, %int0_497, %int1_507 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1638 = torch.aten.item %1637 : !torch.vtensor<[1],si64> -> !torch.int
    %1639 = torch.aten.unsqueeze %1636, %1638 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_508 = torch.constant.int 2
    %1640 = torch.aten.select.int %values_504, %int0_497, %int2_508 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1641 = torch.aten.item %1640 : !torch.vtensor<[1],si64> -> !torch.int
    %1642 = torch.aten.unsqueeze %1639, %1641 : !torch.vtensor, !torch.int -> !torch.vtensor<[128,1,1,1],f32>
    %1643 = torch.aten.mul.Tensor %1612, %1642 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.vtensor<[128,1,1,1],f32> -> !torch.vtensor<[?,128,?,?,?],f32>
    %1644 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_509 = torch.constant.int 0
    %int1_510 = torch.constant.int 1
    %int0_511 = torch.constant.int 0
    %1645 = torch.aten.select.int %1644, %int0_509, %int0_511 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1646 = torch.aten.item %1645 : !torch.vtensor<[1],si64> -> !torch.int
    %1647 = torch.aten.lt.int %1646, %int0_509 : !torch.int, !torch.int -> !torch.bool
    %1648 = torch.aten.Int.bool %1647 : !torch.bool -> !torch.int
    %1649 = torch.aten.mul.int %1648, %int1_510 : !torch.int, !torch.int -> !torch.int
    %1650 = torch.aten.add.int %1646, %1649 : !torch.int, !torch.int -> !torch.int
    %int1_512 = torch.constant.int 1
    %1651 = torch.aten.select.int %1644, %int0_509, %int1_512 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1652 = torch.aten.item %1651 : !torch.vtensor<[1],si64> -> !torch.int
    %1653 = torch.aten.lt.int %1652, %int0_509 : !torch.int, !torch.int -> !torch.bool
    %1654 = torch.aten.Int.bool %1653 : !torch.bool -> !torch.int
    %1655 = torch.aten.mul.int %1654, %int1_510 : !torch.int, !torch.int -> !torch.int
    %1656 = torch.aten.add.int %1652, %1655 : !torch.int, !torch.int -> !torch.int
    %int2_513 = torch.constant.int 2
    %1657 = torch.aten.select.int %1644, %int0_509, %int2_513 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1658 = torch.aten.item %1657 : !torch.vtensor<[1],si64> -> !torch.int
    %1659 = torch.aten.lt.int %1658, %int0_509 : !torch.int, !torch.int -> !torch.bool
    %1660 = torch.aten.Int.bool %1659 : !torch.bool -> !torch.int
    %1661 = torch.aten.mul.int %1660, %int1_510 : !torch.int, !torch.int -> !torch.int
    %1662 = torch.aten.add.int %1658, %1661 : !torch.int, !torch.int -> !torch.int
    %1663 = torch.prim.ListConstruct %1650, %1656, %1662 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_514 = torch.constant.bool false
    %none_515 = torch.constant.none
    %1664 = torch.aten.tensor %1663, %none_515, %none_515, %false_514 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_516, %indices_517 = torch.aten.sort %1664, %int0_509, %false_514 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_518 = torch.constant.int 0
    %1665 = torch.aten.select.int %values_516, %int0_509, %int0_518 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1666 = torch.aten.item %1665 : !torch.vtensor<[1],si64> -> !torch.int
    %1667 = torch.aten.unsqueeze %1535, %1666 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor
    %int1_519 = torch.constant.int 1
    %1668 = torch.aten.select.int %values_516, %int0_509, %int1_519 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1669 = torch.aten.item %1668 : !torch.vtensor<[1],si64> -> !torch.int
    %1670 = torch.aten.unsqueeze %1667, %1669 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_520 = torch.constant.int 2
    %1671 = torch.aten.select.int %values_516, %int0_509, %int2_520 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1672 = torch.aten.item %1671 : !torch.vtensor<[1],si64> -> !torch.int
    %1673 = torch.aten.unsqueeze %1670, %1672 : !torch.vtensor, !torch.int -> !torch.vtensor<[128,1,1,1],f32>
    %int1_521 = torch.constant.int 1
    %1674 = torch.aten.add.Tensor %1643, %1673, %int1_521 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.vtensor<[128,1,1,1],f32>, !torch.int -> !torch.vtensor<[?,128,?,?,?],f32>
    %1675 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1676 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_522 = torch.constant.int 12
    %1677 = torch.aten.item %1675 : !torch.vtensor<[],f32> -> !torch.float
    %1678 = torch.aten.item %1676 : !torch.vtensor<[],si8> -> !torch.int
    %1679 = torch.aten.quantize_per_tensor %1674, %1677, %1678, %int12_522 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,128,?,?,?],!torch.qint8>
    %1680 = torch.aten.int_repr %1679 : !torch.vtensor<[?,128,?,?,?],!torch.qint8> -> !torch.vtensor<[?,128,?,?,?],si8>
    %1681 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1682 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1683 = torch.aten.item %1681 : !torch.vtensor<[],f32> -> !torch.float
    %1684 = torch.aten.item %1682 : !torch.vtensor<[],si8> -> !torch.int
    %1685 = torch.aten._make_per_tensor_quantized_tensor %1680, %1683, %1684 : !torch.vtensor<[?,128,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,128,?,?,?],!torch.qint8>
    %1686 = torch.aten.dequantize.self %1685 : !torch.vtensor<[?,128,?,?,?],!torch.qint8> -> !torch.vtensor<[?,128,?,?,?],f32>
    %1687 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1688 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_523 = torch.constant.int 12
    %1689 = torch.aten.item %1687 : !torch.vtensor<[],f32> -> !torch.float
    %1690 = torch.aten.item %1688 : !torch.vtensor<[],si8> -> !torch.int
    %1691 = torch.aten.quantize_per_tensor %23, %1689, %1690, %int12_523 : !torch.vtensor<[256,128,3,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,128,3,3,3],!torch.qint8>
    %1692 = torch.aten.int_repr %1691 : !torch.vtensor<[256,128,3,3,3],!torch.qint8> -> !torch.vtensor<[256,128,3,3,3],si8>
    %1693 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1694 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1695 = torch.aten.item %1693 : !torch.vtensor<[],f32> -> !torch.float
    %1696 = torch.aten.item %1694 : !torch.vtensor<[],si8> -> !torch.int
    %1697 = torch.aten._make_per_tensor_quantized_tensor %1692, %1695, %1696 : !torch.vtensor<[256,128,3,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,128,3,3,3],!torch.qint8>
    %1698 = torch.aten.dequantize.self %1697 : !torch.vtensor<[256,128,3,3,3],!torch.qint8> -> !torch.vtensor<[256,128,3,3,3],f32>
    %int1_524 = torch.constant.int 1
    %int1_525 = torch.constant.int 1
    %int1_526 = torch.constant.int 1
    %int1_527 = torch.constant.int 1
    %int1_528 = torch.constant.int 1
    %int1_529 = torch.constant.int 1
    %int1_530 = torch.constant.int 1
    %int1_531 = torch.constant.int 1
    %int1_532 = torch.constant.int 1
    %int0_533 = torch.constant.int 0
    %1699 = torch.prim.ListConstruct %int1_524, %int1_525, %int1_526 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1700 = torch.prim.ListConstruct %int1_527, %int1_528, %int1_529 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1701 = torch.prim.ListConstruct %int1_530, %int1_531, %int1_532 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1702 = torch.prim.ListConstruct %int0_533, %int0_533 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_534 = torch.constant.bool false
    %none_535 = torch.constant.none
    %int1_536 = torch.constant.int 1
    %1703 = torch.aten.convolution %1686, %1698, %none_535, %1701, %1699, %1700, %false_534, %1702, %int1_536 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.vtensor<[256,128,3,3,3],f32>, !torch.none, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[?,256,?,?,?],f32>
    %1704 = torch.aten.relu %1703 : !torch.vtensor<[?,256,?,?,?],f32> -> !torch.vtensor<[?,256,?,?,?],f32>
    %1705 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %1706 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_537 = torch.constant.int 12
    %1707 = torch.aten.item %1705 : !torch.vtensor<[],f32> -> !torch.float
    %1708 = torch.aten.item %1706 : !torch.vtensor<[],si8> -> !torch.int
    %1709 = torch.aten.quantize_per_tensor %1704, %1707, %1708, %int12_537 : !torch.vtensor<[?,256,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,256,?,?,?],!torch.qint8>
    %1710 = torch.aten.int_repr %1709 : !torch.vtensor<[?,256,?,?,?],!torch.qint8> -> !torch.vtensor<[?,256,?,?,?],si8>
    %1711 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %1712 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1713 = torch.aten.item %1711 : !torch.vtensor<[],f32> -> !torch.float
    %1714 = torch.aten.item %1712 : !torch.vtensor<[],si8> -> !torch.int
    %1715 = torch.aten._make_per_tensor_quantized_tensor %1710, %1713, %1714 : !torch.vtensor<[?,256,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,256,?,?,?],!torch.qint8>
    %1716 = torch.aten.dequantize.self %1715 : !torch.vtensor<[?,256,?,?,?],!torch.qint8> -> !torch.vtensor<[?,256,?,?,?],f32>
    %1717 = torch.vtensor.literal(dense<16> : tensor<si64>) : !torch.vtensor<[],si64>
    %1718 = torch.vtensor.literal(dense<32> : tensor<si64>) : !torch.vtensor<[],si64>
    %1719 = torch.vtensor.literal(dense<32> : tensor<si64>) : !torch.vtensor<[],si64>
    %1720 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_538 = torch.constant.int 0
    %int0_539 = torch.constant.int 0
    %int0_540 = torch.constant.int 0
    %1721 = torch.aten.select.int %1720, %int0_538, %int0_540 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1722 = torch.aten.item %1721 : !torch.vtensor<[1],si64> -> !torch.int
    %1723 = torch.aten.lt.int %1722, %int0_538 : !torch.int, !torch.int -> !torch.bool
    %1724 = torch.aten.Int.bool %1723 : !torch.bool -> !torch.int
    %1725 = torch.aten.mul.int %1724, %int0_539 : !torch.int, !torch.int -> !torch.int
    %1726 = torch.aten.add.int %1722, %1725 : !torch.int, !torch.int -> !torch.int
    %1727 = torch.prim.ListConstruct %1726 : (!torch.int) -> !torch.list<int>
    %false_541 = torch.constant.bool false
    %none_542 = torch.constant.none
    %1728 = torch.aten.tensor %1727, %none_542, %none_542, %false_541 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_543, %indices_544 = torch.aten.sort %1728, %int0_538, %false_541 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_545 = torch.constant.int 0
    %1729 = torch.aten.select.int %values_543, %int0_538, %int0_545 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1730 = torch.aten.item %1729 : !torch.vtensor<[1],si64> -> !torch.int
    %1731 = torch.aten.unsqueeze %1717, %1730 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %1732 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_546 = torch.constant.int 0
    %int0_547 = torch.constant.int 0
    %int0_548 = torch.constant.int 0
    %1733 = torch.aten.select.int %1732, %int0_546, %int0_548 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1734 = torch.aten.item %1733 : !torch.vtensor<[1],si64> -> !torch.int
    %1735 = torch.aten.lt.int %1734, %int0_546 : !torch.int, !torch.int -> !torch.bool
    %1736 = torch.aten.Int.bool %1735 : !torch.bool -> !torch.int
    %1737 = torch.aten.mul.int %1736, %int0_547 : !torch.int, !torch.int -> !torch.int
    %1738 = torch.aten.add.int %1734, %1737 : !torch.int, !torch.int -> !torch.int
    %1739 = torch.prim.ListConstruct %1738 : (!torch.int) -> !torch.list<int>
    %false_549 = torch.constant.bool false
    %none_550 = torch.constant.none
    %1740 = torch.aten.tensor %1739, %none_550, %none_550, %false_549 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_551, %indices_552 = torch.aten.sort %1740, %int0_546, %false_549 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_553 = torch.constant.int 0
    %1741 = torch.aten.select.int %values_551, %int0_546, %int0_553 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1742 = torch.aten.item %1741 : !torch.vtensor<[1],si64> -> !torch.int
    %1743 = torch.aten.unsqueeze %1718, %1742 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %1744 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_554 = torch.constant.int 0
    %int0_555 = torch.constant.int 0
    %int0_556 = torch.constant.int 0
    %1745 = torch.aten.select.int %1744, %int0_554, %int0_556 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1746 = torch.aten.item %1745 : !torch.vtensor<[1],si64> -> !torch.int
    %1747 = torch.aten.lt.int %1746, %int0_554 : !torch.int, !torch.int -> !torch.bool
    %1748 = torch.aten.Int.bool %1747 : !torch.bool -> !torch.int
    %1749 = torch.aten.mul.int %1748, %int0_555 : !torch.int, !torch.int -> !torch.int
    %1750 = torch.aten.add.int %1746, %1749 : !torch.int, !torch.int -> !torch.int
    %1751 = torch.prim.ListConstruct %1750 : (!torch.int) -> !torch.list<int>
    %false_557 = torch.constant.bool false
    %none_558 = torch.constant.none
    %1752 = torch.aten.tensor %1751, %none_558, %none_558, %false_557 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_559, %indices_560 = torch.aten.sort %1752, %int0_554, %false_557 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_561 = torch.constant.int 0
    %1753 = torch.aten.select.int %values_559, %int0_554, %int0_561 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1754 = torch.aten.item %1753 : !torch.vtensor<[1],si64> -> !torch.int
    %1755 = torch.aten.unsqueeze %1719, %1754 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %1756 = torch.prim.ListConstruct %1731, %1743, %1755 : (!torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>) -> !torch.list<vtensor>
    %int0_562 = torch.constant.int 0
    %1757 = torch.aten.cat %1756, %int0_562 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[3],si64>
    %1758 = torch.aten._shape_as_tensor %1716 : !torch.vtensor<[?,256,?,?,?],f32> -> !torch.vtensor<[5],si64>
    %1759 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1760 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1761 = torch.vtensor.literal(dense<2> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %none_563 = torch.constant.none
    %int1_564 = torch.constant.int 1
    %1762 = torch.prim.ListConstruct %int1_564 : (!torch.int) -> !torch.list<int>
    %1763 = torch.aten.ones %1762, %none_563, %none_563, %none_563, %none_563 : !torch.list<int>, !torch.none, !torch.none, !torch.none, !torch.none -> !torch.vtensor<[1],si64>
    %int0_565 = torch.constant.int 0
    %int0_566 = torch.constant.int 0
    %1764 = torch.prim.NumToTensor.Scalar %int0_566 : !torch.int -> !torch.vtensor<[1],si64>
    %1765 = torch.aten.index_select %1760, %int0_565, %1764 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1766 = torch.aten.item %1765 : !torch.vtensor<[1],si64> -> !torch.int
    %1767 = torch.aten.index_select %1761, %int0_565, %1764 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1768 = torch.aten.item %1767 : !torch.vtensor<[1],si64> -> !torch.int
    %1769 = torch.aten.index_select %1759, %int0_565, %1764 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1770 = torch.aten.item %1769 : !torch.vtensor<[1],si64> -> !torch.int
    %1771 = torch.aten.index_select %1763, %int0_565, %1764 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1772 = torch.aten.item %1771 : !torch.vtensor<[1],si64> -> !torch.int
    %1773 = torch.aten.slice.Tensor %1758, %1770, %1766, %1768, %1772 : !torch.vtensor<[5],si64>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[2],si64>
    %int4_567 = torch.constant.int 4
    %none_568 = torch.constant.none
    %false_569 = torch.constant.bool false
    %1774 = torch.aten.to.dtype %1757, %int4_567, %false_569, %false_569, %none_568 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[3],si64>
    %1775 = torch.prim.ListConstruct %1773, %1774 : (!torch.vtensor<[2],si64>, !torch.vtensor<[3],si64>) -> !torch.list<vtensor>
    %int0_570 = torch.constant.int 0
    %1776 = torch.aten.cat %1775, %int0_570 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[5],si64>
    %1777 = torch.operator "onnx.Resize"(%1716, %none, %none, %1776) {torch.onnx.coordinate_transformation_mode = "asymmetric", torch.onnx.cubic_coeff_a = -7.500000e-01 : f32, torch.onnx.mode = "nearest", torch.onnx.nearest_mode = "floor"} : (!torch.vtensor<[?,256,?,?,?],f32>, !torch.none, !torch.none, !torch.vtensor<[5],si64>) -> !torch.vtensor<[?,?,?,?,?],f32> 
    %1778 = torch.prim.ListConstruct %1289, %1777 : (!torch.vtensor<[?,128,?,?,?],f32>, !torch.vtensor<[?,?,?,?,?],f32>) -> !torch.list<vtensor>
    %int1_571 = torch.constant.int 1
    %1779 = torch.aten.cat %1778, %int1_571 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[?,?,?,?,?],f32>
    %1780 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %1781 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_572 = torch.constant.int 12
    %1782 = torch.aten.item %1780 : !torch.vtensor<[],f32> -> !torch.float
    %1783 = torch.aten.item %1781 : !torch.vtensor<[],si8> -> !torch.int
    %1784 = torch.aten.quantize_per_tensor %1779, %1782, %1783, %int12_572 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,?,?,?,?],!torch.qint8>
    %1785 = torch.aten.int_repr %1784 : !torch.vtensor<[?,?,?,?,?],!torch.qint8> -> !torch.vtensor<[?,?,?,?,?],si8>
    %1786 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %1787 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1788 = torch.aten.item %1786 : !torch.vtensor<[],f32> -> !torch.float
    %1789 = torch.aten.item %1787 : !torch.vtensor<[],si8> -> !torch.int
    %1790 = torch.aten._make_per_tensor_quantized_tensor %1785, %1788, %1789 : !torch.vtensor<[?,?,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,?,?,?,?],!torch.qint8>
    %1791 = torch.aten.dequantize.self %1790 : !torch.vtensor<[?,?,?,?,?],!torch.qint8> -> !torch.vtensor<[?,?,?,?,?],f32>
    %1792 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1793 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_573 = torch.constant.int 12
    %1794 = torch.aten.item %1792 : !torch.vtensor<[],f32> -> !torch.float
    %1795 = torch.aten.item %1793 : !torch.vtensor<[],si8> -> !torch.int
    %1796 = torch.aten.quantize_per_tensor %24, %1794, %1795, %int12_573 : !torch.vtensor<[384],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384],!torch.qint8>
    %1797 = torch.aten.int_repr %1796 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],si8>
    %1798 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1799 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1800 = torch.aten.item %1798 : !torch.vtensor<[],f32> -> !torch.float
    %1801 = torch.aten.item %1799 : !torch.vtensor<[],si8> -> !torch.int
    %1802 = torch.aten._make_per_tensor_quantized_tensor %1797, %1800, %1801 : !torch.vtensor<[384],si8>, !torch.float, !torch.int -> !torch.vtensor<[384],!torch.qint8>
    %1803 = torch.aten.dequantize.self %1802 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],f32>
    %1804 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1805 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_574 = torch.constant.int 12
    %1806 = torch.aten.item %1804 : !torch.vtensor<[],f32> -> !torch.float
    %1807 = torch.aten.item %1805 : !torch.vtensor<[],si8> -> !torch.int
    %1808 = torch.aten.quantize_per_tensor %25, %1806, %1807, %int12_574 : !torch.vtensor<[384],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384],!torch.qint8>
    %1809 = torch.aten.int_repr %1808 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],si8>
    %1810 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1811 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1812 = torch.aten.item %1810 : !torch.vtensor<[],f32> -> !torch.float
    %1813 = torch.aten.item %1811 : !torch.vtensor<[],si8> -> !torch.int
    %1814 = torch.aten._make_per_tensor_quantized_tensor %1809, %1812, %1813 : !torch.vtensor<[384],si8>, !torch.float, !torch.int -> !torch.vtensor<[384],!torch.qint8>
    %1815 = torch.aten.dequantize.self %1814 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],f32>
    %1816 = torch.vtensor.literal(dense<[0, 8, -1]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_575 = torch.constant.int 0
    %int0_576 = torch.constant.int 0
    %1817 = torch.aten.select.int %1816, %int0_575, %int0_576 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1818 = torch.aten.item %1817 : !torch.vtensor<[1],si64> -> !torch.int
    %1819 = torch.aten.eq.int %1818, %int0_575 : !torch.int, !torch.int -> !torch.bool
    %1820 = torch.aten.Int.bool %1819 : !torch.bool -> !torch.int
    %int0_577 = torch.constant.int 0
    %1821 = torch.aten.size.int %1791, %int0_577 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.int -> !torch.int
    %1822 = torch.prim.NumToTensor.Scalar %1820 : !torch.int -> !torch.vtensor<[],i1>
    %1823 = torch.prim.NumToTensor.Scalar %1821 : !torch.int -> !torch.vtensor<[],si64>
    %1824 = torch.prim.NumToTensor.Scalar %1818 : !torch.int -> !torch.vtensor<[],si64>
    %1825 = torch.aten.where.self %1822, %1823, %1824 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1826 = torch.aten.item %1825 : !torch.vtensor<[],si64> -> !torch.int
    %int1_578 = torch.constant.int 1
    %1827 = torch.aten.select.int %1816, %int0_575, %int1_578 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1828 = torch.aten.item %1827 : !torch.vtensor<[1],si64> -> !torch.int
    %1829 = torch.aten.eq.int %1828, %int0_575 : !torch.int, !torch.int -> !torch.bool
    %1830 = torch.aten.Int.bool %1829 : !torch.bool -> !torch.int
    %int1_579 = torch.constant.int 1
    %1831 = torch.aten.size.int %1791, %int1_579 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.int -> !torch.int
    %1832 = torch.prim.NumToTensor.Scalar %1830 : !torch.int -> !torch.vtensor<[],i1>
    %1833 = torch.prim.NumToTensor.Scalar %1831 : !torch.int -> !torch.vtensor<[],si64>
    %1834 = torch.prim.NumToTensor.Scalar %1828 : !torch.int -> !torch.vtensor<[],si64>
    %1835 = torch.aten.where.self %1832, %1833, %1834 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1836 = torch.aten.item %1835 : !torch.vtensor<[],si64> -> !torch.int
    %int2_580 = torch.constant.int 2
    %1837 = torch.aten.select.int %1816, %int0_575, %int2_580 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1838 = torch.aten.item %1837 : !torch.vtensor<[1],si64> -> !torch.int
    %1839 = torch.aten.eq.int %1838, %int0_575 : !torch.int, !torch.int -> !torch.bool
    %1840 = torch.aten.Int.bool %1839 : !torch.bool -> !torch.int
    %int2_581 = torch.constant.int 2
    %1841 = torch.aten.size.int %1791, %int2_581 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.int -> !torch.int
    %1842 = torch.prim.NumToTensor.Scalar %1840 : !torch.int -> !torch.vtensor<[],i1>
    %1843 = torch.prim.NumToTensor.Scalar %1841 : !torch.int -> !torch.vtensor<[],si64>
    %1844 = torch.prim.NumToTensor.Scalar %1838 : !torch.int -> !torch.vtensor<[],si64>
    %1845 = torch.aten.where.self %1842, %1843, %1844 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1846 = torch.aten.item %1845 : !torch.vtensor<[],si64> -> !torch.int
    %1847 = torch.prim.ListConstruct %1826, %1836, %1846 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1848 = torch.aten.reshape %1791, %1847 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[?,8,?],f32>
    %1849 = torch.vtensor.literal(dense<1.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %1850 = torch.vtensor.literal(dense<0.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %none_582 = torch.constant.none
    %true_583 = torch.constant.bool true
    %false_584 = torch.constant.bool false
    %float9.999990e-06_585 = torch.constant.float 9.9999997473787516E-6
    %float0.000000e00_586 = torch.constant.float 0.000000e+00
    %1851 = torch.aten.instance_norm %1848, %1849, %1850, %none_582, %none_582, %true_583, %float0.000000e00_586, %float9.999990e-06_585, %false_584 : !torch.vtensor<[?,8,?],f32>, !torch.vtensor<[8],f32>, !torch.vtensor<[8],f32>, !torch.none, !torch.none, !torch.bool, !torch.float, !torch.float, !torch.bool -> !torch.vtensor<[?,8,?],f32>
    %1852 = torch.aten._shape_as_tensor %1791 : !torch.vtensor<[?,?,?,?,?],f32> -> !torch.vtensor<[5],si64>
    %int0_587 = torch.constant.int 0
    %int0_588 = torch.constant.int 0
    %1853 = torch.aten.select.int %1852, %int0_587, %int0_588 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1854 = torch.aten.item %1853 : !torch.vtensor<[1],si64> -> !torch.int
    %1855 = torch.aten.eq.int %1854, %int0_587 : !torch.int, !torch.int -> !torch.bool
    %1856 = torch.aten.Int.bool %1855 : !torch.bool -> !torch.int
    %int0_589 = torch.constant.int 0
    %1857 = torch.aten.size.int %1851, %int0_589 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %1858 = torch.prim.NumToTensor.Scalar %1856 : !torch.int -> !torch.vtensor<[],i1>
    %1859 = torch.prim.NumToTensor.Scalar %1857 : !torch.int -> !torch.vtensor<[],si64>
    %1860 = torch.prim.NumToTensor.Scalar %1854 : !torch.int -> !torch.vtensor<[],si64>
    %1861 = torch.aten.where.self %1858, %1859, %1860 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1862 = torch.aten.item %1861 : !torch.vtensor<[],si64> -> !torch.int
    %int1_590 = torch.constant.int 1
    %1863 = torch.aten.select.int %1852, %int0_587, %int1_590 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1864 = torch.aten.item %1863 : !torch.vtensor<[1],si64> -> !torch.int
    %1865 = torch.aten.eq.int %1864, %int0_587 : !torch.int, !torch.int -> !torch.bool
    %1866 = torch.aten.Int.bool %1865 : !torch.bool -> !torch.int
    %int1_591 = torch.constant.int 1
    %1867 = torch.aten.size.int %1851, %int1_591 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %1868 = torch.prim.NumToTensor.Scalar %1866 : !torch.int -> !torch.vtensor<[],i1>
    %1869 = torch.prim.NumToTensor.Scalar %1867 : !torch.int -> !torch.vtensor<[],si64>
    %1870 = torch.prim.NumToTensor.Scalar %1864 : !torch.int -> !torch.vtensor<[],si64>
    %1871 = torch.aten.where.self %1868, %1869, %1870 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1872 = torch.aten.item %1871 : !torch.vtensor<[],si64> -> !torch.int
    %int2_592 = torch.constant.int 2
    %1873 = torch.aten.select.int %1852, %int0_587, %int2_592 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1874 = torch.aten.item %1873 : !torch.vtensor<[1],si64> -> !torch.int
    %1875 = torch.aten.eq.int %1874, %int0_587 : !torch.int, !torch.int -> !torch.bool
    %1876 = torch.aten.Int.bool %1875 : !torch.bool -> !torch.int
    %int2_593 = torch.constant.int 2
    %1877 = torch.aten.size.int %1851, %int2_593 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %1878 = torch.prim.NumToTensor.Scalar %1876 : !torch.int -> !torch.vtensor<[],i1>
    %1879 = torch.prim.NumToTensor.Scalar %1877 : !torch.int -> !torch.vtensor<[],si64>
    %1880 = torch.prim.NumToTensor.Scalar %1874 : !torch.int -> !torch.vtensor<[],si64>
    %1881 = torch.aten.where.self %1878, %1879, %1880 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %1882 = torch.aten.item %1881 : !torch.vtensor<[],si64> -> !torch.int
    %int3_594 = torch.constant.int 3
    %1883 = torch.aten.select.int %1852, %int0_587, %int3_594 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1884 = torch.aten.item %1883 : !torch.vtensor<[1],si64> -> !torch.int
    %1885 = torch.aten.eq.int %1884, %int0_587 : !torch.int, !torch.int -> !torch.bool
    %1886 = torch.aten.Int.bool %1885 : !torch.bool -> !torch.int
    %int4_595 = torch.constant.int 4
    %1887 = torch.aten.select.int %1852, %int0_587, %int4_595 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1888 = torch.aten.item %1887 : !torch.vtensor<[1],si64> -> !torch.int
    %1889 = torch.aten.eq.int %1888, %int0_587 : !torch.int, !torch.int -> !torch.bool
    %1890 = torch.aten.Int.bool %1889 : !torch.bool -> !torch.int
    %1891 = torch.prim.ListConstruct %1862, %1872, %1882, %1884, %1888 : (!torch.int, !torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1892 = torch.aten.reshape %1851, %1891 : !torch.vtensor<[?,8,?],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?,?,?],f32>
    %1893 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_596 = torch.constant.int 0
    %int1_597 = torch.constant.int 1
    %int0_598 = torch.constant.int 0
    %1894 = torch.aten.select.int %1893, %int0_596, %int0_598 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1895 = torch.aten.item %1894 : !torch.vtensor<[1],si64> -> !torch.int
    %1896 = torch.aten.lt.int %1895, %int0_596 : !torch.int, !torch.int -> !torch.bool
    %1897 = torch.aten.Int.bool %1896 : !torch.bool -> !torch.int
    %1898 = torch.aten.mul.int %1897, %int1_597 : !torch.int, !torch.int -> !torch.int
    %1899 = torch.aten.add.int %1895, %1898 : !torch.int, !torch.int -> !torch.int
    %int1_599 = torch.constant.int 1
    %1900 = torch.aten.select.int %1893, %int0_596, %int1_599 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1901 = torch.aten.item %1900 : !torch.vtensor<[1],si64> -> !torch.int
    %1902 = torch.aten.lt.int %1901, %int0_596 : !torch.int, !torch.int -> !torch.bool
    %1903 = torch.aten.Int.bool %1902 : !torch.bool -> !torch.int
    %1904 = torch.aten.mul.int %1903, %int1_597 : !torch.int, !torch.int -> !torch.int
    %1905 = torch.aten.add.int %1901, %1904 : !torch.int, !torch.int -> !torch.int
    %int2_600 = torch.constant.int 2
    %1906 = torch.aten.select.int %1893, %int0_596, %int2_600 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1907 = torch.aten.item %1906 : !torch.vtensor<[1],si64> -> !torch.int
    %1908 = torch.aten.lt.int %1907, %int0_596 : !torch.int, !torch.int -> !torch.bool
    %1909 = torch.aten.Int.bool %1908 : !torch.bool -> !torch.int
    %1910 = torch.aten.mul.int %1909, %int1_597 : !torch.int, !torch.int -> !torch.int
    %1911 = torch.aten.add.int %1907, %1910 : !torch.int, !torch.int -> !torch.int
    %1912 = torch.prim.ListConstruct %1899, %1905, %1911 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_601 = torch.constant.bool false
    %none_602 = torch.constant.none
    %1913 = torch.aten.tensor %1912, %none_602, %none_602, %false_601 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_603, %indices_604 = torch.aten.sort %1913, %int0_596, %false_601 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_605 = torch.constant.int 0
    %1914 = torch.aten.select.int %values_603, %int0_596, %int0_605 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1915 = torch.aten.item %1914 : !torch.vtensor<[1],si64> -> !torch.int
    %1916 = torch.aten.unsqueeze %1803, %1915 : !torch.vtensor<[384],f32>, !torch.int -> !torch.vtensor
    %int1_606 = torch.constant.int 1
    %1917 = torch.aten.select.int %values_603, %int0_596, %int1_606 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1918 = torch.aten.item %1917 : !torch.vtensor<[1],si64> -> !torch.int
    %1919 = torch.aten.unsqueeze %1916, %1918 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_607 = torch.constant.int 2
    %1920 = torch.aten.select.int %values_603, %int0_596, %int2_607 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1921 = torch.aten.item %1920 : !torch.vtensor<[1],si64> -> !torch.int
    %1922 = torch.aten.unsqueeze %1919, %1921 : !torch.vtensor, !torch.int -> !torch.vtensor<[384,1,1,1],f32>
    %1923 = torch.aten.mul.Tensor %1892, %1922 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.vtensor<[384,1,1,1],f32> -> !torch.vtensor<[?,384,?,?,?],f32>
    %1924 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_608 = torch.constant.int 0
    %int1_609 = torch.constant.int 1
    %int0_610 = torch.constant.int 0
    %1925 = torch.aten.select.int %1924, %int0_608, %int0_610 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1926 = torch.aten.item %1925 : !torch.vtensor<[1],si64> -> !torch.int
    %1927 = torch.aten.lt.int %1926, %int0_608 : !torch.int, !torch.int -> !torch.bool
    %1928 = torch.aten.Int.bool %1927 : !torch.bool -> !torch.int
    %1929 = torch.aten.mul.int %1928, %int1_609 : !torch.int, !torch.int -> !torch.int
    %1930 = torch.aten.add.int %1926, %1929 : !torch.int, !torch.int -> !torch.int
    %int1_611 = torch.constant.int 1
    %1931 = torch.aten.select.int %1924, %int0_608, %int1_611 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1932 = torch.aten.item %1931 : !torch.vtensor<[1],si64> -> !torch.int
    %1933 = torch.aten.lt.int %1932, %int0_608 : !torch.int, !torch.int -> !torch.bool
    %1934 = torch.aten.Int.bool %1933 : !torch.bool -> !torch.int
    %1935 = torch.aten.mul.int %1934, %int1_609 : !torch.int, !torch.int -> !torch.int
    %1936 = torch.aten.add.int %1932, %1935 : !torch.int, !torch.int -> !torch.int
    %int2_612 = torch.constant.int 2
    %1937 = torch.aten.select.int %1924, %int0_608, %int2_612 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1938 = torch.aten.item %1937 : !torch.vtensor<[1],si64> -> !torch.int
    %1939 = torch.aten.lt.int %1938, %int0_608 : !torch.int, !torch.int -> !torch.bool
    %1940 = torch.aten.Int.bool %1939 : !torch.bool -> !torch.int
    %1941 = torch.aten.mul.int %1940, %int1_609 : !torch.int, !torch.int -> !torch.int
    %1942 = torch.aten.add.int %1938, %1941 : !torch.int, !torch.int -> !torch.int
    %1943 = torch.prim.ListConstruct %1930, %1936, %1942 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_613 = torch.constant.bool false
    %none_614 = torch.constant.none
    %1944 = torch.aten.tensor %1943, %none_614, %none_614, %false_613 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_615, %indices_616 = torch.aten.sort %1944, %int0_608, %false_613 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_617 = torch.constant.int 0
    %1945 = torch.aten.select.int %values_615, %int0_608, %int0_617 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1946 = torch.aten.item %1945 : !torch.vtensor<[1],si64> -> !torch.int
    %1947 = torch.aten.unsqueeze %1815, %1946 : !torch.vtensor<[384],f32>, !torch.int -> !torch.vtensor
    %int1_618 = torch.constant.int 1
    %1948 = torch.aten.select.int %values_615, %int0_608, %int1_618 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1949 = torch.aten.item %1948 : !torch.vtensor<[1],si64> -> !torch.int
    %1950 = torch.aten.unsqueeze %1947, %1949 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_619 = torch.constant.int 2
    %1951 = torch.aten.select.int %values_615, %int0_608, %int2_619 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %1952 = torch.aten.item %1951 : !torch.vtensor<[1],si64> -> !torch.int
    %1953 = torch.aten.unsqueeze %1950, %1952 : !torch.vtensor, !torch.int -> !torch.vtensor<[384,1,1,1],f32>
    %int1_620 = torch.constant.int 1
    %1954 = torch.aten.add.Tensor %1923, %1953, %int1_620 : !torch.vtensor<[?,384,?,?,?],f32>, !torch.vtensor<[384,1,1,1],f32>, !torch.int -> !torch.vtensor<[?,384,?,?,?],f32>
    %1955 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %1956 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_621 = torch.constant.int 12
    %1957 = torch.aten.item %1955 : !torch.vtensor<[],f32> -> !torch.float
    %1958 = torch.aten.item %1956 : !torch.vtensor<[],si8> -> !torch.int
    %1959 = torch.aten.quantize_per_tensor %1954, %1957, %1958, %int12_621 : !torch.vtensor<[?,384,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,384,?,?,?],!torch.qint8>
    %1960 = torch.aten.int_repr %1959 : !torch.vtensor<[?,384,?,?,?],!torch.qint8> -> !torch.vtensor<[?,384,?,?,?],si8>
    %1961 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %1962 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1963 = torch.aten.item %1961 : !torch.vtensor<[],f32> -> !torch.float
    %1964 = torch.aten.item %1962 : !torch.vtensor<[],si8> -> !torch.int
    %1965 = torch.aten._make_per_tensor_quantized_tensor %1960, %1963, %1964 : !torch.vtensor<[?,384,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,384,?,?,?],!torch.qint8>
    %1966 = torch.aten.dequantize.self %1965 : !torch.vtensor<[?,384,?,?,?],!torch.qint8> -> !torch.vtensor<[?,384,?,?,?],f32>
    %1967 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1968 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_622 = torch.constant.int 12
    %1969 = torch.aten.item %1967 : !torch.vtensor<[],f32> -> !torch.float
    %1970 = torch.aten.item %1968 : !torch.vtensor<[],si8> -> !torch.int
    %1971 = torch.aten.quantize_per_tensor %26, %1969, %1970, %int12_622 : !torch.vtensor<[128,384,3,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,384,3,3,3],!torch.qint8>
    %1972 = torch.aten.int_repr %1971 : !torch.vtensor<[128,384,3,3,3],!torch.qint8> -> !torch.vtensor<[128,384,3,3,3],si8>
    %1973 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %1974 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1975 = torch.aten.item %1973 : !torch.vtensor<[],f32> -> !torch.float
    %1976 = torch.aten.item %1974 : !torch.vtensor<[],si8> -> !torch.int
    %1977 = torch.aten._make_per_tensor_quantized_tensor %1972, %1975, %1976 : !torch.vtensor<[128,384,3,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,384,3,3,3],!torch.qint8>
    %1978 = torch.aten.dequantize.self %1977 : !torch.vtensor<[128,384,3,3,3],!torch.qint8> -> !torch.vtensor<[128,384,3,3,3],f32>
    %int1_623 = torch.constant.int 1
    %int1_624 = torch.constant.int 1
    %int1_625 = torch.constant.int 1
    %int1_626 = torch.constant.int 1
    %int1_627 = torch.constant.int 1
    %int1_628 = torch.constant.int 1
    %int1_629 = torch.constant.int 1
    %int1_630 = torch.constant.int 1
    %int1_631 = torch.constant.int 1
    %int0_632 = torch.constant.int 0
    %1979 = torch.prim.ListConstruct %int1_623, %int1_624, %int1_625 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1980 = torch.prim.ListConstruct %int1_626, %int1_627, %int1_628 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1981 = torch.prim.ListConstruct %int1_629, %int1_630, %int1_631 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %1982 = torch.prim.ListConstruct %int0_632, %int0_632 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_633 = torch.constant.bool false
    %none_634 = torch.constant.none
    %int1_635 = torch.constant.int 1
    %1983 = torch.aten.convolution %1966, %1978, %none_634, %1981, %1979, %1980, %false_633, %1982, %int1_635 : !torch.vtensor<[?,384,?,?,?],f32>, !torch.vtensor<[128,384,3,3,3],f32>, !torch.none, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[?,128,?,?,?],f32>
    %1984 = torch.aten.relu %1983 : !torch.vtensor<[?,128,?,?,?],f32> -> !torch.vtensor<[?,128,?,?,?],f32>
    %1985 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %1986 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_636 = torch.constant.int 12
    %1987 = torch.aten.item %1985 : !torch.vtensor<[],f32> -> !torch.float
    %1988 = torch.aten.item %1986 : !torch.vtensor<[],si8> -> !torch.int
    %1989 = torch.aten.quantize_per_tensor %1984, %1987, %1988, %int12_636 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,128,?,?,?],!torch.qint8>
    %1990 = torch.aten.int_repr %1989 : !torch.vtensor<[?,128,?,?,?],!torch.qint8> -> !torch.vtensor<[?,128,?,?,?],si8>
    %1991 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %1992 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1993 = torch.aten.item %1991 : !torch.vtensor<[],f32> -> !torch.float
    %1994 = torch.aten.item %1992 : !torch.vtensor<[],si8> -> !torch.int
    %1995 = torch.aten._make_per_tensor_quantized_tensor %1990, %1993, %1994 : !torch.vtensor<[?,128,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,128,?,?,?],!torch.qint8>
    %1996 = torch.aten.dequantize.self %1995 : !torch.vtensor<[?,128,?,?,?],!torch.qint8> -> !torch.vtensor<[?,128,?,?,?],f32>
    %1997 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1998 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_637 = torch.constant.int 12
    %1999 = torch.aten.item %1997 : !torch.vtensor<[],f32> -> !torch.float
    %2000 = torch.aten.item %1998 : !torch.vtensor<[],si8> -> !torch.int
    %2001 = torch.aten.quantize_per_tensor %27, %1999, %2000, %int12_637 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %2002 = torch.aten.int_repr %2001 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %2003 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2004 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2005 = torch.aten.item %2003 : !torch.vtensor<[],f32> -> !torch.float
    %2006 = torch.aten.item %2004 : !torch.vtensor<[],si8> -> !torch.int
    %2007 = torch.aten._make_per_tensor_quantized_tensor %2002, %2005, %2006 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %2008 = torch.aten.dequantize.self %2007 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %2009 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %2010 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_638 = torch.constant.int 12
    %2011 = torch.aten.item %2009 : !torch.vtensor<[],f32> -> !torch.float
    %2012 = torch.aten.item %2010 : !torch.vtensor<[],si8> -> !torch.int
    %2013 = torch.aten.quantize_per_tensor %28, %2011, %2012, %int12_638 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %2014 = torch.aten.int_repr %2013 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %2015 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %2016 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2017 = torch.aten.item %2015 : !torch.vtensor<[],f32> -> !torch.float
    %2018 = torch.aten.item %2016 : !torch.vtensor<[],si8> -> !torch.int
    %2019 = torch.aten._make_per_tensor_quantized_tensor %2014, %2017, %2018 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %2020 = torch.aten.dequantize.self %2019 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %2021 = torch.vtensor.literal(dense<[0, 8, -1]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_639 = torch.constant.int 0
    %int0_640 = torch.constant.int 0
    %2022 = torch.aten.select.int %2021, %int0_639, %int0_640 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2023 = torch.aten.item %2022 : !torch.vtensor<[1],si64> -> !torch.int
    %2024 = torch.aten.eq.int %2023, %int0_639 : !torch.int, !torch.int -> !torch.bool
    %2025 = torch.aten.Int.bool %2024 : !torch.bool -> !torch.int
    %int0_641 = torch.constant.int 0
    %2026 = torch.aten.size.int %1996, %int0_641 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.int -> !torch.int
    %2027 = torch.prim.NumToTensor.Scalar %2025 : !torch.int -> !torch.vtensor<[],i1>
    %2028 = torch.prim.NumToTensor.Scalar %2026 : !torch.int -> !torch.vtensor<[],si64>
    %2029 = torch.prim.NumToTensor.Scalar %2023 : !torch.int -> !torch.vtensor<[],si64>
    %2030 = torch.aten.where.self %2027, %2028, %2029 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2031 = torch.aten.item %2030 : !torch.vtensor<[],si64> -> !torch.int
    %int1_642 = torch.constant.int 1
    %2032 = torch.aten.select.int %2021, %int0_639, %int1_642 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2033 = torch.aten.item %2032 : !torch.vtensor<[1],si64> -> !torch.int
    %2034 = torch.aten.eq.int %2033, %int0_639 : !torch.int, !torch.int -> !torch.bool
    %2035 = torch.aten.Int.bool %2034 : !torch.bool -> !torch.int
    %int1_643 = torch.constant.int 1
    %2036 = torch.aten.size.int %1996, %int1_643 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.int -> !torch.int
    %2037 = torch.prim.NumToTensor.Scalar %2035 : !torch.int -> !torch.vtensor<[],i1>
    %2038 = torch.prim.NumToTensor.Scalar %2036 : !torch.int -> !torch.vtensor<[],si64>
    %2039 = torch.prim.NumToTensor.Scalar %2033 : !torch.int -> !torch.vtensor<[],si64>
    %2040 = torch.aten.where.self %2037, %2038, %2039 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2041 = torch.aten.item %2040 : !torch.vtensor<[],si64> -> !torch.int
    %int2_644 = torch.constant.int 2
    %2042 = torch.aten.select.int %2021, %int0_639, %int2_644 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2043 = torch.aten.item %2042 : !torch.vtensor<[1],si64> -> !torch.int
    %2044 = torch.aten.eq.int %2043, %int0_639 : !torch.int, !torch.int -> !torch.bool
    %2045 = torch.aten.Int.bool %2044 : !torch.bool -> !torch.int
    %int2_645 = torch.constant.int 2
    %2046 = torch.aten.size.int %1996, %int2_645 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.int -> !torch.int
    %2047 = torch.prim.NumToTensor.Scalar %2045 : !torch.int -> !torch.vtensor<[],i1>
    %2048 = torch.prim.NumToTensor.Scalar %2046 : !torch.int -> !torch.vtensor<[],si64>
    %2049 = torch.prim.NumToTensor.Scalar %2043 : !torch.int -> !torch.vtensor<[],si64>
    %2050 = torch.aten.where.self %2047, %2048, %2049 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2051 = torch.aten.item %2050 : !torch.vtensor<[],si64> -> !torch.int
    %2052 = torch.prim.ListConstruct %2031, %2041, %2051 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2053 = torch.aten.reshape %1996, %2052 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[?,8,?],f32>
    %2054 = torch.vtensor.literal(dense<1.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %2055 = torch.vtensor.literal(dense<0.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %none_646 = torch.constant.none
    %true_647 = torch.constant.bool true
    %false_648 = torch.constant.bool false
    %float9.999990e-06_649 = torch.constant.float 9.9999997473787516E-6
    %float0.000000e00_650 = torch.constant.float 0.000000e+00
    %2056 = torch.aten.instance_norm %2053, %2054, %2055, %none_646, %none_646, %true_647, %float0.000000e00_650, %float9.999990e-06_649, %false_648 : !torch.vtensor<[?,8,?],f32>, !torch.vtensor<[8],f32>, !torch.vtensor<[8],f32>, !torch.none, !torch.none, !torch.bool, !torch.float, !torch.float, !torch.bool -> !torch.vtensor<[?,8,?],f32>
    %2057 = torch.aten._shape_as_tensor %1996 : !torch.vtensor<[?,128,?,?,?],f32> -> !torch.vtensor<[5],si64>
    %int0_651 = torch.constant.int 0
    %int0_652 = torch.constant.int 0
    %2058 = torch.aten.select.int %2057, %int0_651, %int0_652 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2059 = torch.aten.item %2058 : !torch.vtensor<[1],si64> -> !torch.int
    %2060 = torch.aten.eq.int %2059, %int0_651 : !torch.int, !torch.int -> !torch.bool
    %2061 = torch.aten.Int.bool %2060 : !torch.bool -> !torch.int
    %int0_653 = torch.constant.int 0
    %2062 = torch.aten.size.int %2056, %int0_653 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %2063 = torch.prim.NumToTensor.Scalar %2061 : !torch.int -> !torch.vtensor<[],i1>
    %2064 = torch.prim.NumToTensor.Scalar %2062 : !torch.int -> !torch.vtensor<[],si64>
    %2065 = torch.prim.NumToTensor.Scalar %2059 : !torch.int -> !torch.vtensor<[],si64>
    %2066 = torch.aten.where.self %2063, %2064, %2065 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2067 = torch.aten.item %2066 : !torch.vtensor<[],si64> -> !torch.int
    %int1_654 = torch.constant.int 1
    %2068 = torch.aten.select.int %2057, %int0_651, %int1_654 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2069 = torch.aten.item %2068 : !torch.vtensor<[1],si64> -> !torch.int
    %2070 = torch.aten.eq.int %2069, %int0_651 : !torch.int, !torch.int -> !torch.bool
    %2071 = torch.aten.Int.bool %2070 : !torch.bool -> !torch.int
    %int1_655 = torch.constant.int 1
    %2072 = torch.aten.size.int %2056, %int1_655 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %2073 = torch.prim.NumToTensor.Scalar %2071 : !torch.int -> !torch.vtensor<[],i1>
    %2074 = torch.prim.NumToTensor.Scalar %2072 : !torch.int -> !torch.vtensor<[],si64>
    %2075 = torch.prim.NumToTensor.Scalar %2069 : !torch.int -> !torch.vtensor<[],si64>
    %2076 = torch.aten.where.self %2073, %2074, %2075 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2077 = torch.aten.item %2076 : !torch.vtensor<[],si64> -> !torch.int
    %int2_656 = torch.constant.int 2
    %2078 = torch.aten.select.int %2057, %int0_651, %int2_656 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2079 = torch.aten.item %2078 : !torch.vtensor<[1],si64> -> !torch.int
    %2080 = torch.aten.eq.int %2079, %int0_651 : !torch.int, !torch.int -> !torch.bool
    %2081 = torch.aten.Int.bool %2080 : !torch.bool -> !torch.int
    %int2_657 = torch.constant.int 2
    %2082 = torch.aten.size.int %2056, %int2_657 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %2083 = torch.prim.NumToTensor.Scalar %2081 : !torch.int -> !torch.vtensor<[],i1>
    %2084 = torch.prim.NumToTensor.Scalar %2082 : !torch.int -> !torch.vtensor<[],si64>
    %2085 = torch.prim.NumToTensor.Scalar %2079 : !torch.int -> !torch.vtensor<[],si64>
    %2086 = torch.aten.where.self %2083, %2084, %2085 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2087 = torch.aten.item %2086 : !torch.vtensor<[],si64> -> !torch.int
    %int3_658 = torch.constant.int 3
    %2088 = torch.aten.select.int %2057, %int0_651, %int3_658 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2089 = torch.aten.item %2088 : !torch.vtensor<[1],si64> -> !torch.int
    %2090 = torch.aten.eq.int %2089, %int0_651 : !torch.int, !torch.int -> !torch.bool
    %2091 = torch.aten.Int.bool %2090 : !torch.bool -> !torch.int
    %int4_659 = torch.constant.int 4
    %2092 = torch.aten.select.int %2057, %int0_651, %int4_659 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2093 = torch.aten.item %2092 : !torch.vtensor<[1],si64> -> !torch.int
    %2094 = torch.aten.eq.int %2093, %int0_651 : !torch.int, !torch.int -> !torch.bool
    %2095 = torch.aten.Int.bool %2094 : !torch.bool -> !torch.int
    %2096 = torch.prim.ListConstruct %2067, %2077, %2087, %2089, %2093 : (!torch.int, !torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2097 = torch.aten.reshape %2056, %2096 : !torch.vtensor<[?,8,?],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?,?,?],f32>
    %2098 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_660 = torch.constant.int 0
    %int1_661 = torch.constant.int 1
    %int0_662 = torch.constant.int 0
    %2099 = torch.aten.select.int %2098, %int0_660, %int0_662 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2100 = torch.aten.item %2099 : !torch.vtensor<[1],si64> -> !torch.int
    %2101 = torch.aten.lt.int %2100, %int0_660 : !torch.int, !torch.int -> !torch.bool
    %2102 = torch.aten.Int.bool %2101 : !torch.bool -> !torch.int
    %2103 = torch.aten.mul.int %2102, %int1_661 : !torch.int, !torch.int -> !torch.int
    %2104 = torch.aten.add.int %2100, %2103 : !torch.int, !torch.int -> !torch.int
    %int1_663 = torch.constant.int 1
    %2105 = torch.aten.select.int %2098, %int0_660, %int1_663 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2106 = torch.aten.item %2105 : !torch.vtensor<[1],si64> -> !torch.int
    %2107 = torch.aten.lt.int %2106, %int0_660 : !torch.int, !torch.int -> !torch.bool
    %2108 = torch.aten.Int.bool %2107 : !torch.bool -> !torch.int
    %2109 = torch.aten.mul.int %2108, %int1_661 : !torch.int, !torch.int -> !torch.int
    %2110 = torch.aten.add.int %2106, %2109 : !torch.int, !torch.int -> !torch.int
    %int2_664 = torch.constant.int 2
    %2111 = torch.aten.select.int %2098, %int0_660, %int2_664 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2112 = torch.aten.item %2111 : !torch.vtensor<[1],si64> -> !torch.int
    %2113 = torch.aten.lt.int %2112, %int0_660 : !torch.int, !torch.int -> !torch.bool
    %2114 = torch.aten.Int.bool %2113 : !torch.bool -> !torch.int
    %2115 = torch.aten.mul.int %2114, %int1_661 : !torch.int, !torch.int -> !torch.int
    %2116 = torch.aten.add.int %2112, %2115 : !torch.int, !torch.int -> !torch.int
    %2117 = torch.prim.ListConstruct %2104, %2110, %2116 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_665 = torch.constant.bool false
    %none_666 = torch.constant.none
    %2118 = torch.aten.tensor %2117, %none_666, %none_666, %false_665 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_667, %indices_668 = torch.aten.sort %2118, %int0_660, %false_665 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_669 = torch.constant.int 0
    %2119 = torch.aten.select.int %values_667, %int0_660, %int0_669 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2120 = torch.aten.item %2119 : !torch.vtensor<[1],si64> -> !torch.int
    %2121 = torch.aten.unsqueeze %2008, %2120 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor
    %int1_670 = torch.constant.int 1
    %2122 = torch.aten.select.int %values_667, %int0_660, %int1_670 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2123 = torch.aten.item %2122 : !torch.vtensor<[1],si64> -> !torch.int
    %2124 = torch.aten.unsqueeze %2121, %2123 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_671 = torch.constant.int 2
    %2125 = torch.aten.select.int %values_667, %int0_660, %int2_671 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2126 = torch.aten.item %2125 : !torch.vtensor<[1],si64> -> !torch.int
    %2127 = torch.aten.unsqueeze %2124, %2126 : !torch.vtensor, !torch.int -> !torch.vtensor<[128,1,1,1],f32>
    %2128 = torch.aten.mul.Tensor %2097, %2127 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.vtensor<[128,1,1,1],f32> -> !torch.vtensor<[?,128,?,?,?],f32>
    %2129 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_672 = torch.constant.int 0
    %int1_673 = torch.constant.int 1
    %int0_674 = torch.constant.int 0
    %2130 = torch.aten.select.int %2129, %int0_672, %int0_674 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2131 = torch.aten.item %2130 : !torch.vtensor<[1],si64> -> !torch.int
    %2132 = torch.aten.lt.int %2131, %int0_672 : !torch.int, !torch.int -> !torch.bool
    %2133 = torch.aten.Int.bool %2132 : !torch.bool -> !torch.int
    %2134 = torch.aten.mul.int %2133, %int1_673 : !torch.int, !torch.int -> !torch.int
    %2135 = torch.aten.add.int %2131, %2134 : !torch.int, !torch.int -> !torch.int
    %int1_675 = torch.constant.int 1
    %2136 = torch.aten.select.int %2129, %int0_672, %int1_675 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2137 = torch.aten.item %2136 : !torch.vtensor<[1],si64> -> !torch.int
    %2138 = torch.aten.lt.int %2137, %int0_672 : !torch.int, !torch.int -> !torch.bool
    %2139 = torch.aten.Int.bool %2138 : !torch.bool -> !torch.int
    %2140 = torch.aten.mul.int %2139, %int1_673 : !torch.int, !torch.int -> !torch.int
    %2141 = torch.aten.add.int %2137, %2140 : !torch.int, !torch.int -> !torch.int
    %int2_676 = torch.constant.int 2
    %2142 = torch.aten.select.int %2129, %int0_672, %int2_676 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2143 = torch.aten.item %2142 : !torch.vtensor<[1],si64> -> !torch.int
    %2144 = torch.aten.lt.int %2143, %int0_672 : !torch.int, !torch.int -> !torch.bool
    %2145 = torch.aten.Int.bool %2144 : !torch.bool -> !torch.int
    %2146 = torch.aten.mul.int %2145, %int1_673 : !torch.int, !torch.int -> !torch.int
    %2147 = torch.aten.add.int %2143, %2146 : !torch.int, !torch.int -> !torch.int
    %2148 = torch.prim.ListConstruct %2135, %2141, %2147 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_677 = torch.constant.bool false
    %none_678 = torch.constant.none
    %2149 = torch.aten.tensor %2148, %none_678, %none_678, %false_677 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_679, %indices_680 = torch.aten.sort %2149, %int0_672, %false_677 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_681 = torch.constant.int 0
    %2150 = torch.aten.select.int %values_679, %int0_672, %int0_681 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2151 = torch.aten.item %2150 : !torch.vtensor<[1],si64> -> !torch.int
    %2152 = torch.aten.unsqueeze %2020, %2151 : !torch.vtensor<[128],f32>, !torch.int -> !torch.vtensor
    %int1_682 = torch.constant.int 1
    %2153 = torch.aten.select.int %values_679, %int0_672, %int1_682 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2154 = torch.aten.item %2153 : !torch.vtensor<[1],si64> -> !torch.int
    %2155 = torch.aten.unsqueeze %2152, %2154 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_683 = torch.constant.int 2
    %2156 = torch.aten.select.int %values_679, %int0_672, %int2_683 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2157 = torch.aten.item %2156 : !torch.vtensor<[1],si64> -> !torch.int
    %2158 = torch.aten.unsqueeze %2155, %2157 : !torch.vtensor, !torch.int -> !torch.vtensor<[128,1,1,1],f32>
    %int1_684 = torch.constant.int 1
    %2159 = torch.aten.add.Tensor %2128, %2158, %int1_684 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.vtensor<[128,1,1,1],f32>, !torch.int -> !torch.vtensor<[?,128,?,?,?],f32>
    %2160 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %2161 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_685 = torch.constant.int 12
    %2162 = torch.aten.item %2160 : !torch.vtensor<[],f32> -> !torch.float
    %2163 = torch.aten.item %2161 : !torch.vtensor<[],si8> -> !torch.int
    %2164 = torch.aten.quantize_per_tensor %2159, %2162, %2163, %int12_685 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,128,?,?,?],!torch.qint8>
    %2165 = torch.aten.int_repr %2164 : !torch.vtensor<[?,128,?,?,?],!torch.qint8> -> !torch.vtensor<[?,128,?,?,?],si8>
    %2166 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %2167 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2168 = torch.aten.item %2166 : !torch.vtensor<[],f32> -> !torch.float
    %2169 = torch.aten.item %2167 : !torch.vtensor<[],si8> -> !torch.int
    %2170 = torch.aten._make_per_tensor_quantized_tensor %2165, %2168, %2169 : !torch.vtensor<[?,128,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,128,?,?,?],!torch.qint8>
    %2171 = torch.aten.dequantize.self %2170 : !torch.vtensor<[?,128,?,?,?],!torch.qint8> -> !torch.vtensor<[?,128,?,?,?],f32>
    %2172 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %2173 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_686 = torch.constant.int 12
    %2174 = torch.aten.item %2172 : !torch.vtensor<[],f32> -> !torch.float
    %2175 = torch.aten.item %2173 : !torch.vtensor<[],si8> -> !torch.int
    %2176 = torch.aten.quantize_per_tensor %29, %2174, %2175, %int12_686 : !torch.vtensor<[128,128,3,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,128,3,3,3],!torch.qint8>
    %2177 = torch.aten.int_repr %2176 : !torch.vtensor<[128,128,3,3,3],!torch.qint8> -> !torch.vtensor<[128,128,3,3,3],si8>
    %2178 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %2179 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2180 = torch.aten.item %2178 : !torch.vtensor<[],f32> -> !torch.float
    %2181 = torch.aten.item %2179 : !torch.vtensor<[],si8> -> !torch.int
    %2182 = torch.aten._make_per_tensor_quantized_tensor %2177, %2180, %2181 : !torch.vtensor<[128,128,3,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,128,3,3,3],!torch.qint8>
    %2183 = torch.aten.dequantize.self %2182 : !torch.vtensor<[128,128,3,3,3],!torch.qint8> -> !torch.vtensor<[128,128,3,3,3],f32>
    %int1_687 = torch.constant.int 1
    %int1_688 = torch.constant.int 1
    %int1_689 = torch.constant.int 1
    %int1_690 = torch.constant.int 1
    %int1_691 = torch.constant.int 1
    %int1_692 = torch.constant.int 1
    %int1_693 = torch.constant.int 1
    %int1_694 = torch.constant.int 1
    %int1_695 = torch.constant.int 1
    %int0_696 = torch.constant.int 0
    %2184 = torch.prim.ListConstruct %int1_687, %int1_688, %int1_689 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2185 = torch.prim.ListConstruct %int1_690, %int1_691, %int1_692 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2186 = torch.prim.ListConstruct %int1_693, %int1_694, %int1_695 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2187 = torch.prim.ListConstruct %int0_696, %int0_696 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_697 = torch.constant.bool false
    %none_698 = torch.constant.none
    %int1_699 = torch.constant.int 1
    %2188 = torch.aten.convolution %2171, %2183, %none_698, %2186, %2184, %2185, %false_697, %2187, %int1_699 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.vtensor<[128,128,3,3,3],f32>, !torch.none, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[?,128,?,?,?],f32>
    %2189 = torch.aten.relu %2188 : !torch.vtensor<[?,128,?,?,?],f32> -> !torch.vtensor<[?,128,?,?,?],f32>
    %2190 = torch.vtensor.literal(dense<5.000000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %2191 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_700 = torch.constant.int 12
    %2192 = torch.aten.item %2190 : !torch.vtensor<[],f32> -> !torch.float
    %2193 = torch.aten.item %2191 : !torch.vtensor<[],si8> -> !torch.int
    %2194 = torch.aten.quantize_per_tensor %2189, %2192, %2193, %int12_700 : !torch.vtensor<[?,128,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,128,?,?,?],!torch.qint8>
    %2195 = torch.aten.int_repr %2194 : !torch.vtensor<[?,128,?,?,?],!torch.qint8> -> !torch.vtensor<[?,128,?,?,?],si8>
    %2196 = torch.vtensor.literal(dense<5.000000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %2197 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2198 = torch.aten.item %2196 : !torch.vtensor<[],f32> -> !torch.float
    %2199 = torch.aten.item %2197 : !torch.vtensor<[],si8> -> !torch.int
    %2200 = torch.aten._make_per_tensor_quantized_tensor %2195, %2198, %2199 : !torch.vtensor<[?,128,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,128,?,?,?],!torch.qint8>
    %2201 = torch.aten.dequantize.self %2200 : !torch.vtensor<[?,128,?,?,?],!torch.qint8> -> !torch.vtensor<[?,128,?,?,?],f32>
    %2202 = torch.vtensor.literal(dense<32> : tensor<si64>) : !torch.vtensor<[],si64>
    %2203 = torch.vtensor.literal(dense<64> : tensor<si64>) : !torch.vtensor<[],si64>
    %2204 = torch.vtensor.literal(dense<64> : tensor<si64>) : !torch.vtensor<[],si64>
    %2205 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_701 = torch.constant.int 0
    %int0_702 = torch.constant.int 0
    %int0_703 = torch.constant.int 0
    %2206 = torch.aten.select.int %2205, %int0_701, %int0_703 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2207 = torch.aten.item %2206 : !torch.vtensor<[1],si64> -> !torch.int
    %2208 = torch.aten.lt.int %2207, %int0_701 : !torch.int, !torch.int -> !torch.bool
    %2209 = torch.aten.Int.bool %2208 : !torch.bool -> !torch.int
    %2210 = torch.aten.mul.int %2209, %int0_702 : !torch.int, !torch.int -> !torch.int
    %2211 = torch.aten.add.int %2207, %2210 : !torch.int, !torch.int -> !torch.int
    %2212 = torch.prim.ListConstruct %2211 : (!torch.int) -> !torch.list<int>
    %false_704 = torch.constant.bool false
    %none_705 = torch.constant.none
    %2213 = torch.aten.tensor %2212, %none_705, %none_705, %false_704 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_706, %indices_707 = torch.aten.sort %2213, %int0_701, %false_704 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_708 = torch.constant.int 0
    %2214 = torch.aten.select.int %values_706, %int0_701, %int0_708 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2215 = torch.aten.item %2214 : !torch.vtensor<[1],si64> -> !torch.int
    %2216 = torch.aten.unsqueeze %2202, %2215 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %2217 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_709 = torch.constant.int 0
    %int0_710 = torch.constant.int 0
    %int0_711 = torch.constant.int 0
    %2218 = torch.aten.select.int %2217, %int0_709, %int0_711 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2219 = torch.aten.item %2218 : !torch.vtensor<[1],si64> -> !torch.int
    %2220 = torch.aten.lt.int %2219, %int0_709 : !torch.int, !torch.int -> !torch.bool
    %2221 = torch.aten.Int.bool %2220 : !torch.bool -> !torch.int
    %2222 = torch.aten.mul.int %2221, %int0_710 : !torch.int, !torch.int -> !torch.int
    %2223 = torch.aten.add.int %2219, %2222 : !torch.int, !torch.int -> !torch.int
    %2224 = torch.prim.ListConstruct %2223 : (!torch.int) -> !torch.list<int>
    %false_712 = torch.constant.bool false
    %none_713 = torch.constant.none
    %2225 = torch.aten.tensor %2224, %none_713, %none_713, %false_712 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_714, %indices_715 = torch.aten.sort %2225, %int0_709, %false_712 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_716 = torch.constant.int 0
    %2226 = torch.aten.select.int %values_714, %int0_709, %int0_716 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2227 = torch.aten.item %2226 : !torch.vtensor<[1],si64> -> !torch.int
    %2228 = torch.aten.unsqueeze %2203, %2227 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %2229 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_717 = torch.constant.int 0
    %int0_718 = torch.constant.int 0
    %int0_719 = torch.constant.int 0
    %2230 = torch.aten.select.int %2229, %int0_717, %int0_719 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2231 = torch.aten.item %2230 : !torch.vtensor<[1],si64> -> !torch.int
    %2232 = torch.aten.lt.int %2231, %int0_717 : !torch.int, !torch.int -> !torch.bool
    %2233 = torch.aten.Int.bool %2232 : !torch.bool -> !torch.int
    %2234 = torch.aten.mul.int %2233, %int0_718 : !torch.int, !torch.int -> !torch.int
    %2235 = torch.aten.add.int %2231, %2234 : !torch.int, !torch.int -> !torch.int
    %2236 = torch.prim.ListConstruct %2235 : (!torch.int) -> !torch.list<int>
    %false_720 = torch.constant.bool false
    %none_721 = torch.constant.none
    %2237 = torch.aten.tensor %2236, %none_721, %none_721, %false_720 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_722, %indices_723 = torch.aten.sort %2237, %int0_717, %false_720 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_724 = torch.constant.int 0
    %2238 = torch.aten.select.int %values_722, %int0_717, %int0_724 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2239 = torch.aten.item %2238 : !torch.vtensor<[1],si64> -> !torch.int
    %2240 = torch.aten.unsqueeze %2204, %2239 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %2241 = torch.prim.ListConstruct %2216, %2228, %2240 : (!torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>) -> !torch.list<vtensor>
    %int0_725 = torch.constant.int 0
    %2242 = torch.aten.cat %2241, %int0_725 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[3],si64>
    %2243 = torch.aten._shape_as_tensor %2201 : !torch.vtensor<[?,128,?,?,?],f32> -> !torch.vtensor<[5],si64>
    %2244 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2245 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2246 = torch.vtensor.literal(dense<2> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %none_726 = torch.constant.none
    %int1_727 = torch.constant.int 1
    %2247 = torch.prim.ListConstruct %int1_727 : (!torch.int) -> !torch.list<int>
    %2248 = torch.aten.ones %2247, %none_726, %none_726, %none_726, %none_726 : !torch.list<int>, !torch.none, !torch.none, !torch.none, !torch.none -> !torch.vtensor<[1],si64>
    %int0_728 = torch.constant.int 0
    %int0_729 = torch.constant.int 0
    %2249 = torch.prim.NumToTensor.Scalar %int0_729 : !torch.int -> !torch.vtensor<[1],si64>
    %2250 = torch.aten.index_select %2245, %int0_728, %2249 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2251 = torch.aten.item %2250 : !torch.vtensor<[1],si64> -> !torch.int
    %2252 = torch.aten.index_select %2246, %int0_728, %2249 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2253 = torch.aten.item %2252 : !torch.vtensor<[1],si64> -> !torch.int
    %2254 = torch.aten.index_select %2244, %int0_728, %2249 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2255 = torch.aten.item %2254 : !torch.vtensor<[1],si64> -> !torch.int
    %2256 = torch.aten.index_select %2248, %int0_728, %2249 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2257 = torch.aten.item %2256 : !torch.vtensor<[1],si64> -> !torch.int
    %2258 = torch.aten.slice.Tensor %2243, %2255, %2251, %2253, %2257 : !torch.vtensor<[5],si64>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[2],si64>
    %int4_730 = torch.constant.int 4
    %none_731 = torch.constant.none
    %false_732 = torch.constant.bool false
    %2259 = torch.aten.to.dtype %2242, %int4_730, %false_732, %false_732, %none_731 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[3],si64>
    %2260 = torch.prim.ListConstruct %2258, %2259 : (!torch.vtensor<[2],si64>, !torch.vtensor<[3],si64>) -> !torch.list<vtensor>
    %int0_733 = torch.constant.int 0
    %2261 = torch.aten.cat %2260, %int0_733 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[5],si64>
    %2262 = torch.operator "onnx.Resize"(%2201, %none, %none, %2261) {torch.onnx.coordinate_transformation_mode = "asymmetric", torch.onnx.cubic_coeff_a = -7.500000e-01 : f32, torch.onnx.mode = "nearest", torch.onnx.nearest_mode = "floor"} : (!torch.vtensor<[?,128,?,?,?],f32>, !torch.none, !torch.none, !torch.vtensor<[5],si64>) -> !torch.vtensor<[?,?,?,?,?],f32> 
    %2263 = torch.prim.ListConstruct %862, %2262 : (!torch.vtensor<[?,64,?,?,?],f32>, !torch.vtensor<[?,?,?,?,?],f32>) -> !torch.list<vtensor>
    %int1_734 = torch.constant.int 1
    %2264 = torch.aten.cat %2263, %int1_734 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[?,?,?,?,?],f32>
    %2265 = torch.vtensor.literal(dense<5.000000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %2266 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_735 = torch.constant.int 12
    %2267 = torch.aten.item %2265 : !torch.vtensor<[],f32> -> !torch.float
    %2268 = torch.aten.item %2266 : !torch.vtensor<[],si8> -> !torch.int
    %2269 = torch.aten.quantize_per_tensor %2264, %2267, %2268, %int12_735 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,?,?,?,?],!torch.qint8>
    %2270 = torch.aten.int_repr %2269 : !torch.vtensor<[?,?,?,?,?],!torch.qint8> -> !torch.vtensor<[?,?,?,?,?],si8>
    %2271 = torch.vtensor.literal(dense<5.000000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %2272 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2273 = torch.aten.item %2271 : !torch.vtensor<[],f32> -> !torch.float
    %2274 = torch.aten.item %2272 : !torch.vtensor<[],si8> -> !torch.int
    %2275 = torch.aten._make_per_tensor_quantized_tensor %2270, %2273, %2274 : !torch.vtensor<[?,?,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,?,?,?,?],!torch.qint8>
    %2276 = torch.aten.dequantize.self %2275 : !torch.vtensor<[?,?,?,?,?],!torch.qint8> -> !torch.vtensor<[?,?,?,?,?],f32>
    %2277 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2278 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_736 = torch.constant.int 12
    %2279 = torch.aten.item %2277 : !torch.vtensor<[],f32> -> !torch.float
    %2280 = torch.aten.item %2278 : !torch.vtensor<[],si8> -> !torch.int
    %2281 = torch.aten.quantize_per_tensor %30, %2279, %2280, %int12_736 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
    %2282 = torch.aten.int_repr %2281 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
    %2283 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2284 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2285 = torch.aten.item %2283 : !torch.vtensor<[],f32> -> !torch.float
    %2286 = torch.aten.item %2284 : !torch.vtensor<[],si8> -> !torch.int
    %2287 = torch.aten._make_per_tensor_quantized_tensor %2282, %2285, %2286 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
    %2288 = torch.aten.dequantize.self %2287 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
    %2289 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %2290 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_737 = torch.constant.int 12
    %2291 = torch.aten.item %2289 : !torch.vtensor<[],f32> -> !torch.float
    %2292 = torch.aten.item %2290 : !torch.vtensor<[],si8> -> !torch.int
    %2293 = torch.aten.quantize_per_tensor %31, %2291, %2292, %int12_737 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
    %2294 = torch.aten.int_repr %2293 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
    %2295 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %2296 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2297 = torch.aten.item %2295 : !torch.vtensor<[],f32> -> !torch.float
    %2298 = torch.aten.item %2296 : !torch.vtensor<[],si8> -> !torch.int
    %2299 = torch.aten._make_per_tensor_quantized_tensor %2294, %2297, %2298 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
    %2300 = torch.aten.dequantize.self %2299 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
    %2301 = torch.vtensor.literal(dense<[0, 8, -1]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_738 = torch.constant.int 0
    %int0_739 = torch.constant.int 0
    %2302 = torch.aten.select.int %2301, %int0_738, %int0_739 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2303 = torch.aten.item %2302 : !torch.vtensor<[1],si64> -> !torch.int
    %2304 = torch.aten.eq.int %2303, %int0_738 : !torch.int, !torch.int -> !torch.bool
    %2305 = torch.aten.Int.bool %2304 : !torch.bool -> !torch.int
    %int0_740 = torch.constant.int 0
    %2306 = torch.aten.size.int %2276, %int0_740 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.int -> !torch.int
    %2307 = torch.prim.NumToTensor.Scalar %2305 : !torch.int -> !torch.vtensor<[],i1>
    %2308 = torch.prim.NumToTensor.Scalar %2306 : !torch.int -> !torch.vtensor<[],si64>
    %2309 = torch.prim.NumToTensor.Scalar %2303 : !torch.int -> !torch.vtensor<[],si64>
    %2310 = torch.aten.where.self %2307, %2308, %2309 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2311 = torch.aten.item %2310 : !torch.vtensor<[],si64> -> !torch.int
    %int1_741 = torch.constant.int 1
    %2312 = torch.aten.select.int %2301, %int0_738, %int1_741 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2313 = torch.aten.item %2312 : !torch.vtensor<[1],si64> -> !torch.int
    %2314 = torch.aten.eq.int %2313, %int0_738 : !torch.int, !torch.int -> !torch.bool
    %2315 = torch.aten.Int.bool %2314 : !torch.bool -> !torch.int
    %int1_742 = torch.constant.int 1
    %2316 = torch.aten.size.int %2276, %int1_742 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.int -> !torch.int
    %2317 = torch.prim.NumToTensor.Scalar %2315 : !torch.int -> !torch.vtensor<[],i1>
    %2318 = torch.prim.NumToTensor.Scalar %2316 : !torch.int -> !torch.vtensor<[],si64>
    %2319 = torch.prim.NumToTensor.Scalar %2313 : !torch.int -> !torch.vtensor<[],si64>
    %2320 = torch.aten.where.self %2317, %2318, %2319 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2321 = torch.aten.item %2320 : !torch.vtensor<[],si64> -> !torch.int
    %int2_743 = torch.constant.int 2
    %2322 = torch.aten.select.int %2301, %int0_738, %int2_743 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2323 = torch.aten.item %2322 : !torch.vtensor<[1],si64> -> !torch.int
    %2324 = torch.aten.eq.int %2323, %int0_738 : !torch.int, !torch.int -> !torch.bool
    %2325 = torch.aten.Int.bool %2324 : !torch.bool -> !torch.int
    %int2_744 = torch.constant.int 2
    %2326 = torch.aten.size.int %2276, %int2_744 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.int -> !torch.int
    %2327 = torch.prim.NumToTensor.Scalar %2325 : !torch.int -> !torch.vtensor<[],i1>
    %2328 = torch.prim.NumToTensor.Scalar %2326 : !torch.int -> !torch.vtensor<[],si64>
    %2329 = torch.prim.NumToTensor.Scalar %2323 : !torch.int -> !torch.vtensor<[],si64>
    %2330 = torch.aten.where.self %2327, %2328, %2329 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2331 = torch.aten.item %2330 : !torch.vtensor<[],si64> -> !torch.int
    %2332 = torch.prim.ListConstruct %2311, %2321, %2331 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2333 = torch.aten.reshape %2276, %2332 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[?,8,?],f32>
    %2334 = torch.vtensor.literal(dense<1.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %2335 = torch.vtensor.literal(dense<0.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %none_745 = torch.constant.none
    %true_746 = torch.constant.bool true
    %false_747 = torch.constant.bool false
    %float9.999990e-06_748 = torch.constant.float 9.9999997473787516E-6
    %float0.000000e00_749 = torch.constant.float 0.000000e+00
    %2336 = torch.aten.instance_norm %2333, %2334, %2335, %none_745, %none_745, %true_746, %float0.000000e00_749, %float9.999990e-06_748, %false_747 : !torch.vtensor<[?,8,?],f32>, !torch.vtensor<[8],f32>, !torch.vtensor<[8],f32>, !torch.none, !torch.none, !torch.bool, !torch.float, !torch.float, !torch.bool -> !torch.vtensor<[?,8,?],f32>
    %2337 = torch.aten._shape_as_tensor %2276 : !torch.vtensor<[?,?,?,?,?],f32> -> !torch.vtensor<[5],si64>
    %int0_750 = torch.constant.int 0
    %int0_751 = torch.constant.int 0
    %2338 = torch.aten.select.int %2337, %int0_750, %int0_751 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2339 = torch.aten.item %2338 : !torch.vtensor<[1],si64> -> !torch.int
    %2340 = torch.aten.eq.int %2339, %int0_750 : !torch.int, !torch.int -> !torch.bool
    %2341 = torch.aten.Int.bool %2340 : !torch.bool -> !torch.int
    %int0_752 = torch.constant.int 0
    %2342 = torch.aten.size.int %2336, %int0_752 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %2343 = torch.prim.NumToTensor.Scalar %2341 : !torch.int -> !torch.vtensor<[],i1>
    %2344 = torch.prim.NumToTensor.Scalar %2342 : !torch.int -> !torch.vtensor<[],si64>
    %2345 = torch.prim.NumToTensor.Scalar %2339 : !torch.int -> !torch.vtensor<[],si64>
    %2346 = torch.aten.where.self %2343, %2344, %2345 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2347 = torch.aten.item %2346 : !torch.vtensor<[],si64> -> !torch.int
    %int1_753 = torch.constant.int 1
    %2348 = torch.aten.select.int %2337, %int0_750, %int1_753 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2349 = torch.aten.item %2348 : !torch.vtensor<[1],si64> -> !torch.int
    %2350 = torch.aten.eq.int %2349, %int0_750 : !torch.int, !torch.int -> !torch.bool
    %2351 = torch.aten.Int.bool %2350 : !torch.bool -> !torch.int
    %int1_754 = torch.constant.int 1
    %2352 = torch.aten.size.int %2336, %int1_754 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %2353 = torch.prim.NumToTensor.Scalar %2351 : !torch.int -> !torch.vtensor<[],i1>
    %2354 = torch.prim.NumToTensor.Scalar %2352 : !torch.int -> !torch.vtensor<[],si64>
    %2355 = torch.prim.NumToTensor.Scalar %2349 : !torch.int -> !torch.vtensor<[],si64>
    %2356 = torch.aten.where.self %2353, %2354, %2355 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2357 = torch.aten.item %2356 : !torch.vtensor<[],si64> -> !torch.int
    %int2_755 = torch.constant.int 2
    %2358 = torch.aten.select.int %2337, %int0_750, %int2_755 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2359 = torch.aten.item %2358 : !torch.vtensor<[1],si64> -> !torch.int
    %2360 = torch.aten.eq.int %2359, %int0_750 : !torch.int, !torch.int -> !torch.bool
    %2361 = torch.aten.Int.bool %2360 : !torch.bool -> !torch.int
    %int2_756 = torch.constant.int 2
    %2362 = torch.aten.size.int %2336, %int2_756 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %2363 = torch.prim.NumToTensor.Scalar %2361 : !torch.int -> !torch.vtensor<[],i1>
    %2364 = torch.prim.NumToTensor.Scalar %2362 : !torch.int -> !torch.vtensor<[],si64>
    %2365 = torch.prim.NumToTensor.Scalar %2359 : !torch.int -> !torch.vtensor<[],si64>
    %2366 = torch.aten.where.self %2363, %2364, %2365 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2367 = torch.aten.item %2366 : !torch.vtensor<[],si64> -> !torch.int
    %int3_757 = torch.constant.int 3
    %2368 = torch.aten.select.int %2337, %int0_750, %int3_757 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2369 = torch.aten.item %2368 : !torch.vtensor<[1],si64> -> !torch.int
    %2370 = torch.aten.eq.int %2369, %int0_750 : !torch.int, !torch.int -> !torch.bool
    %2371 = torch.aten.Int.bool %2370 : !torch.bool -> !torch.int
    %int4_758 = torch.constant.int 4
    %2372 = torch.aten.select.int %2337, %int0_750, %int4_758 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2373 = torch.aten.item %2372 : !torch.vtensor<[1],si64> -> !torch.int
    %2374 = torch.aten.eq.int %2373, %int0_750 : !torch.int, !torch.int -> !torch.bool
    %2375 = torch.aten.Int.bool %2374 : !torch.bool -> !torch.int
    %2376 = torch.prim.ListConstruct %2347, %2357, %2367, %2369, %2373 : (!torch.int, !torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2377 = torch.aten.reshape %2336, %2376 : !torch.vtensor<[?,8,?],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?,?,?],f32>
    %2378 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_759 = torch.constant.int 0
    %int1_760 = torch.constant.int 1
    %int0_761 = torch.constant.int 0
    %2379 = torch.aten.select.int %2378, %int0_759, %int0_761 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2380 = torch.aten.item %2379 : !torch.vtensor<[1],si64> -> !torch.int
    %2381 = torch.aten.lt.int %2380, %int0_759 : !torch.int, !torch.int -> !torch.bool
    %2382 = torch.aten.Int.bool %2381 : !torch.bool -> !torch.int
    %2383 = torch.aten.mul.int %2382, %int1_760 : !torch.int, !torch.int -> !torch.int
    %2384 = torch.aten.add.int %2380, %2383 : !torch.int, !torch.int -> !torch.int
    %int1_762 = torch.constant.int 1
    %2385 = torch.aten.select.int %2378, %int0_759, %int1_762 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2386 = torch.aten.item %2385 : !torch.vtensor<[1],si64> -> !torch.int
    %2387 = torch.aten.lt.int %2386, %int0_759 : !torch.int, !torch.int -> !torch.bool
    %2388 = torch.aten.Int.bool %2387 : !torch.bool -> !torch.int
    %2389 = torch.aten.mul.int %2388, %int1_760 : !torch.int, !torch.int -> !torch.int
    %2390 = torch.aten.add.int %2386, %2389 : !torch.int, !torch.int -> !torch.int
    %int2_763 = torch.constant.int 2
    %2391 = torch.aten.select.int %2378, %int0_759, %int2_763 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2392 = torch.aten.item %2391 : !torch.vtensor<[1],si64> -> !torch.int
    %2393 = torch.aten.lt.int %2392, %int0_759 : !torch.int, !torch.int -> !torch.bool
    %2394 = torch.aten.Int.bool %2393 : !torch.bool -> !torch.int
    %2395 = torch.aten.mul.int %2394, %int1_760 : !torch.int, !torch.int -> !torch.int
    %2396 = torch.aten.add.int %2392, %2395 : !torch.int, !torch.int -> !torch.int
    %2397 = torch.prim.ListConstruct %2384, %2390, %2396 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_764 = torch.constant.bool false
    %none_765 = torch.constant.none
    %2398 = torch.aten.tensor %2397, %none_765, %none_765, %false_764 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_766, %indices_767 = torch.aten.sort %2398, %int0_759, %false_764 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_768 = torch.constant.int 0
    %2399 = torch.aten.select.int %values_766, %int0_759, %int0_768 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2400 = torch.aten.item %2399 : !torch.vtensor<[1],si64> -> !torch.int
    %2401 = torch.aten.unsqueeze %2288, %2400 : !torch.vtensor<[192],f32>, !torch.int -> !torch.vtensor
    %int1_769 = torch.constant.int 1
    %2402 = torch.aten.select.int %values_766, %int0_759, %int1_769 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2403 = torch.aten.item %2402 : !torch.vtensor<[1],si64> -> !torch.int
    %2404 = torch.aten.unsqueeze %2401, %2403 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_770 = torch.constant.int 2
    %2405 = torch.aten.select.int %values_766, %int0_759, %int2_770 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2406 = torch.aten.item %2405 : !torch.vtensor<[1],si64> -> !torch.int
    %2407 = torch.aten.unsqueeze %2404, %2406 : !torch.vtensor, !torch.int -> !torch.vtensor<[192,1,1,1],f32>
    %2408 = torch.aten.mul.Tensor %2377, %2407 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.vtensor<[192,1,1,1],f32> -> !torch.vtensor<[?,192,?,?,?],f32>
    %2409 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_771 = torch.constant.int 0
    %int1_772 = torch.constant.int 1
    %int0_773 = torch.constant.int 0
    %2410 = torch.aten.select.int %2409, %int0_771, %int0_773 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2411 = torch.aten.item %2410 : !torch.vtensor<[1],si64> -> !torch.int
    %2412 = torch.aten.lt.int %2411, %int0_771 : !torch.int, !torch.int -> !torch.bool
    %2413 = torch.aten.Int.bool %2412 : !torch.bool -> !torch.int
    %2414 = torch.aten.mul.int %2413, %int1_772 : !torch.int, !torch.int -> !torch.int
    %2415 = torch.aten.add.int %2411, %2414 : !torch.int, !torch.int -> !torch.int
    %int1_774 = torch.constant.int 1
    %2416 = torch.aten.select.int %2409, %int0_771, %int1_774 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2417 = torch.aten.item %2416 : !torch.vtensor<[1],si64> -> !torch.int
    %2418 = torch.aten.lt.int %2417, %int0_771 : !torch.int, !torch.int -> !torch.bool
    %2419 = torch.aten.Int.bool %2418 : !torch.bool -> !torch.int
    %2420 = torch.aten.mul.int %2419, %int1_772 : !torch.int, !torch.int -> !torch.int
    %2421 = torch.aten.add.int %2417, %2420 : !torch.int, !torch.int -> !torch.int
    %int2_775 = torch.constant.int 2
    %2422 = torch.aten.select.int %2409, %int0_771, %int2_775 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2423 = torch.aten.item %2422 : !torch.vtensor<[1],si64> -> !torch.int
    %2424 = torch.aten.lt.int %2423, %int0_771 : !torch.int, !torch.int -> !torch.bool
    %2425 = torch.aten.Int.bool %2424 : !torch.bool -> !torch.int
    %2426 = torch.aten.mul.int %2425, %int1_772 : !torch.int, !torch.int -> !torch.int
    %2427 = torch.aten.add.int %2423, %2426 : !torch.int, !torch.int -> !torch.int
    %2428 = torch.prim.ListConstruct %2415, %2421, %2427 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_776 = torch.constant.bool false
    %none_777 = torch.constant.none
    %2429 = torch.aten.tensor %2428, %none_777, %none_777, %false_776 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_778, %indices_779 = torch.aten.sort %2429, %int0_771, %false_776 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_780 = torch.constant.int 0
    %2430 = torch.aten.select.int %values_778, %int0_771, %int0_780 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2431 = torch.aten.item %2430 : !torch.vtensor<[1],si64> -> !torch.int
    %2432 = torch.aten.unsqueeze %2300, %2431 : !torch.vtensor<[192],f32>, !torch.int -> !torch.vtensor
    %int1_781 = torch.constant.int 1
    %2433 = torch.aten.select.int %values_778, %int0_771, %int1_781 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2434 = torch.aten.item %2433 : !torch.vtensor<[1],si64> -> !torch.int
    %2435 = torch.aten.unsqueeze %2432, %2434 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_782 = torch.constant.int 2
    %2436 = torch.aten.select.int %values_778, %int0_771, %int2_782 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2437 = torch.aten.item %2436 : !torch.vtensor<[1],si64> -> !torch.int
    %2438 = torch.aten.unsqueeze %2435, %2437 : !torch.vtensor, !torch.int -> !torch.vtensor<[192,1,1,1],f32>
    %int1_783 = torch.constant.int 1
    %2439 = torch.aten.add.Tensor %2408, %2438, %int1_783 : !torch.vtensor<[?,192,?,?,?],f32>, !torch.vtensor<[192,1,1,1],f32>, !torch.int -> !torch.vtensor<[?,192,?,?,?],f32>
    %2440 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %2441 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_784 = torch.constant.int 12
    %2442 = torch.aten.item %2440 : !torch.vtensor<[],f32> -> !torch.float
    %2443 = torch.aten.item %2441 : !torch.vtensor<[],si8> -> !torch.int
    %2444 = torch.aten.quantize_per_tensor %2439, %2442, %2443, %int12_784 : !torch.vtensor<[?,192,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,192,?,?,?],!torch.qint8>
    %2445 = torch.aten.int_repr %2444 : !torch.vtensor<[?,192,?,?,?],!torch.qint8> -> !torch.vtensor<[?,192,?,?,?],si8>
    %2446 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %2447 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2448 = torch.aten.item %2446 : !torch.vtensor<[],f32> -> !torch.float
    %2449 = torch.aten.item %2447 : !torch.vtensor<[],si8> -> !torch.int
    %2450 = torch.aten._make_per_tensor_quantized_tensor %2445, %2448, %2449 : !torch.vtensor<[?,192,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,192,?,?,?],!torch.qint8>
    %2451 = torch.aten.dequantize.self %2450 : !torch.vtensor<[?,192,?,?,?],!torch.qint8> -> !torch.vtensor<[?,192,?,?,?],f32>
    %2452 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %2453 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_785 = torch.constant.int 12
    %2454 = torch.aten.item %2452 : !torch.vtensor<[],f32> -> !torch.float
    %2455 = torch.aten.item %2453 : !torch.vtensor<[],si8> -> !torch.int
    %2456 = torch.aten.quantize_per_tensor %32, %2454, %2455, %int12_785 : !torch.vtensor<[64,192,3,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,192,3,3,3],!torch.qint8>
    %2457 = torch.aten.int_repr %2456 : !torch.vtensor<[64,192,3,3,3],!torch.qint8> -> !torch.vtensor<[64,192,3,3,3],si8>
    %2458 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %2459 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2460 = torch.aten.item %2458 : !torch.vtensor<[],f32> -> !torch.float
    %2461 = torch.aten.item %2459 : !torch.vtensor<[],si8> -> !torch.int
    %2462 = torch.aten._make_per_tensor_quantized_tensor %2457, %2460, %2461 : !torch.vtensor<[64,192,3,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,192,3,3,3],!torch.qint8>
    %2463 = torch.aten.dequantize.self %2462 : !torch.vtensor<[64,192,3,3,3],!torch.qint8> -> !torch.vtensor<[64,192,3,3,3],f32>
    %int1_786 = torch.constant.int 1
    %int1_787 = torch.constant.int 1
    %int1_788 = torch.constant.int 1
    %int1_789 = torch.constant.int 1
    %int1_790 = torch.constant.int 1
    %int1_791 = torch.constant.int 1
    %int1_792 = torch.constant.int 1
    %int1_793 = torch.constant.int 1
    %int1_794 = torch.constant.int 1
    %int0_795 = torch.constant.int 0
    %2464 = torch.prim.ListConstruct %int1_786, %int1_787, %int1_788 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2465 = torch.prim.ListConstruct %int1_789, %int1_790, %int1_791 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2466 = torch.prim.ListConstruct %int1_792, %int1_793, %int1_794 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2467 = torch.prim.ListConstruct %int0_795, %int0_795 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_796 = torch.constant.bool false
    %none_797 = torch.constant.none
    %int1_798 = torch.constant.int 1
    %2468 = torch.aten.convolution %2451, %2463, %none_797, %2466, %2464, %2465, %false_796, %2467, %int1_798 : !torch.vtensor<[?,192,?,?,?],f32>, !torch.vtensor<[64,192,3,3,3],f32>, !torch.none, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[?,64,?,?,?],f32>
    %2469 = torch.aten.relu %2468 : !torch.vtensor<[?,64,?,?,?],f32> -> !torch.vtensor<[?,64,?,?,?],f32>
    %2470 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %2471 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_799 = torch.constant.int 12
    %2472 = torch.aten.item %2470 : !torch.vtensor<[],f32> -> !torch.float
    %2473 = torch.aten.item %2471 : !torch.vtensor<[],si8> -> !torch.int
    %2474 = torch.aten.quantize_per_tensor %2469, %2472, %2473, %int12_799 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,64,?,?,?],!torch.qint8>
    %2475 = torch.aten.int_repr %2474 : !torch.vtensor<[?,64,?,?,?],!torch.qint8> -> !torch.vtensor<[?,64,?,?,?],si8>
    %2476 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %2477 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2478 = torch.aten.item %2476 : !torch.vtensor<[],f32> -> !torch.float
    %2479 = torch.aten.item %2477 : !torch.vtensor<[],si8> -> !torch.int
    %2480 = torch.aten._make_per_tensor_quantized_tensor %2475, %2478, %2479 : !torch.vtensor<[?,64,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,64,?,?,?],!torch.qint8>
    %2481 = torch.aten.dequantize.self %2480 : !torch.vtensor<[?,64,?,?,?],!torch.qint8> -> !torch.vtensor<[?,64,?,?,?],f32>
    %2482 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2483 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_800 = torch.constant.int 12
    %2484 = torch.aten.item %2482 : !torch.vtensor<[],f32> -> !torch.float
    %2485 = torch.aten.item %2483 : !torch.vtensor<[],si8> -> !torch.int
    %2486 = torch.aten.quantize_per_tensor %33, %2484, %2485, %int12_800 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2487 = torch.aten.int_repr %2486 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %2488 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2489 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2490 = torch.aten.item %2488 : !torch.vtensor<[],f32> -> !torch.float
    %2491 = torch.aten.item %2489 : !torch.vtensor<[],si8> -> !torch.int
    %2492 = torch.aten._make_per_tensor_quantized_tensor %2487, %2490, %2491 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2493 = torch.aten.dequantize.self %2492 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %2494 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %2495 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_801 = torch.constant.int 12
    %2496 = torch.aten.item %2494 : !torch.vtensor<[],f32> -> !torch.float
    %2497 = torch.aten.item %2495 : !torch.vtensor<[],si8> -> !torch.int
    %2498 = torch.aten.quantize_per_tensor %34, %2496, %2497, %int12_801 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2499 = torch.aten.int_repr %2498 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %2500 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %2501 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2502 = torch.aten.item %2500 : !torch.vtensor<[],f32> -> !torch.float
    %2503 = torch.aten.item %2501 : !torch.vtensor<[],si8> -> !torch.int
    %2504 = torch.aten._make_per_tensor_quantized_tensor %2499, %2502, %2503 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2505 = torch.aten.dequantize.self %2504 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %2506 = torch.vtensor.literal(dense<[0, 8, -1]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_802 = torch.constant.int 0
    %int0_803 = torch.constant.int 0
    %2507 = torch.aten.select.int %2506, %int0_802, %int0_803 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2508 = torch.aten.item %2507 : !torch.vtensor<[1],si64> -> !torch.int
    %2509 = torch.aten.eq.int %2508, %int0_802 : !torch.int, !torch.int -> !torch.bool
    %2510 = torch.aten.Int.bool %2509 : !torch.bool -> !torch.int
    %int0_804 = torch.constant.int 0
    %2511 = torch.aten.size.int %2481, %int0_804 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.int -> !torch.int
    %2512 = torch.prim.NumToTensor.Scalar %2510 : !torch.int -> !torch.vtensor<[],i1>
    %2513 = torch.prim.NumToTensor.Scalar %2511 : !torch.int -> !torch.vtensor<[],si64>
    %2514 = torch.prim.NumToTensor.Scalar %2508 : !torch.int -> !torch.vtensor<[],si64>
    %2515 = torch.aten.where.self %2512, %2513, %2514 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2516 = torch.aten.item %2515 : !torch.vtensor<[],si64> -> !torch.int
    %int1_805 = torch.constant.int 1
    %2517 = torch.aten.select.int %2506, %int0_802, %int1_805 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2518 = torch.aten.item %2517 : !torch.vtensor<[1],si64> -> !torch.int
    %2519 = torch.aten.eq.int %2518, %int0_802 : !torch.int, !torch.int -> !torch.bool
    %2520 = torch.aten.Int.bool %2519 : !torch.bool -> !torch.int
    %int1_806 = torch.constant.int 1
    %2521 = torch.aten.size.int %2481, %int1_806 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.int -> !torch.int
    %2522 = torch.prim.NumToTensor.Scalar %2520 : !torch.int -> !torch.vtensor<[],i1>
    %2523 = torch.prim.NumToTensor.Scalar %2521 : !torch.int -> !torch.vtensor<[],si64>
    %2524 = torch.prim.NumToTensor.Scalar %2518 : !torch.int -> !torch.vtensor<[],si64>
    %2525 = torch.aten.where.self %2522, %2523, %2524 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2526 = torch.aten.item %2525 : !torch.vtensor<[],si64> -> !torch.int
    %int2_807 = torch.constant.int 2
    %2527 = torch.aten.select.int %2506, %int0_802, %int2_807 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2528 = torch.aten.item %2527 : !torch.vtensor<[1],si64> -> !torch.int
    %2529 = torch.aten.eq.int %2528, %int0_802 : !torch.int, !torch.int -> !torch.bool
    %2530 = torch.aten.Int.bool %2529 : !torch.bool -> !torch.int
    %int2_808 = torch.constant.int 2
    %2531 = torch.aten.size.int %2481, %int2_808 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.int -> !torch.int
    %2532 = torch.prim.NumToTensor.Scalar %2530 : !torch.int -> !torch.vtensor<[],i1>
    %2533 = torch.prim.NumToTensor.Scalar %2531 : !torch.int -> !torch.vtensor<[],si64>
    %2534 = torch.prim.NumToTensor.Scalar %2528 : !torch.int -> !torch.vtensor<[],si64>
    %2535 = torch.aten.where.self %2532, %2533, %2534 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2536 = torch.aten.item %2535 : !torch.vtensor<[],si64> -> !torch.int
    %2537 = torch.prim.ListConstruct %2516, %2526, %2536 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2538 = torch.aten.reshape %2481, %2537 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[?,8,?],f32>
    %2539 = torch.vtensor.literal(dense<1.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %2540 = torch.vtensor.literal(dense<0.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %none_809 = torch.constant.none
    %true_810 = torch.constant.bool true
    %false_811 = torch.constant.bool false
    %float9.999990e-06_812 = torch.constant.float 9.9999997473787516E-6
    %float0.000000e00_813 = torch.constant.float 0.000000e+00
    %2541 = torch.aten.instance_norm %2538, %2539, %2540, %none_809, %none_809, %true_810, %float0.000000e00_813, %float9.999990e-06_812, %false_811 : !torch.vtensor<[?,8,?],f32>, !torch.vtensor<[8],f32>, !torch.vtensor<[8],f32>, !torch.none, !torch.none, !torch.bool, !torch.float, !torch.float, !torch.bool -> !torch.vtensor<[?,8,?],f32>
    %2542 = torch.aten._shape_as_tensor %2481 : !torch.vtensor<[?,64,?,?,?],f32> -> !torch.vtensor<[5],si64>
    %int0_814 = torch.constant.int 0
    %int0_815 = torch.constant.int 0
    %2543 = torch.aten.select.int %2542, %int0_814, %int0_815 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2544 = torch.aten.item %2543 : !torch.vtensor<[1],si64> -> !torch.int
    %2545 = torch.aten.eq.int %2544, %int0_814 : !torch.int, !torch.int -> !torch.bool
    %2546 = torch.aten.Int.bool %2545 : !torch.bool -> !torch.int
    %int0_816 = torch.constant.int 0
    %2547 = torch.aten.size.int %2541, %int0_816 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %2548 = torch.prim.NumToTensor.Scalar %2546 : !torch.int -> !torch.vtensor<[],i1>
    %2549 = torch.prim.NumToTensor.Scalar %2547 : !torch.int -> !torch.vtensor<[],si64>
    %2550 = torch.prim.NumToTensor.Scalar %2544 : !torch.int -> !torch.vtensor<[],si64>
    %2551 = torch.aten.where.self %2548, %2549, %2550 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2552 = torch.aten.item %2551 : !torch.vtensor<[],si64> -> !torch.int
    %int1_817 = torch.constant.int 1
    %2553 = torch.aten.select.int %2542, %int0_814, %int1_817 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2554 = torch.aten.item %2553 : !torch.vtensor<[1],si64> -> !torch.int
    %2555 = torch.aten.eq.int %2554, %int0_814 : !torch.int, !torch.int -> !torch.bool
    %2556 = torch.aten.Int.bool %2555 : !torch.bool -> !torch.int
    %int1_818 = torch.constant.int 1
    %2557 = torch.aten.size.int %2541, %int1_818 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %2558 = torch.prim.NumToTensor.Scalar %2556 : !torch.int -> !torch.vtensor<[],i1>
    %2559 = torch.prim.NumToTensor.Scalar %2557 : !torch.int -> !torch.vtensor<[],si64>
    %2560 = torch.prim.NumToTensor.Scalar %2554 : !torch.int -> !torch.vtensor<[],si64>
    %2561 = torch.aten.where.self %2558, %2559, %2560 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2562 = torch.aten.item %2561 : !torch.vtensor<[],si64> -> !torch.int
    %int2_819 = torch.constant.int 2
    %2563 = torch.aten.select.int %2542, %int0_814, %int2_819 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2564 = torch.aten.item %2563 : !torch.vtensor<[1],si64> -> !torch.int
    %2565 = torch.aten.eq.int %2564, %int0_814 : !torch.int, !torch.int -> !torch.bool
    %2566 = torch.aten.Int.bool %2565 : !torch.bool -> !torch.int
    %int2_820 = torch.constant.int 2
    %2567 = torch.aten.size.int %2541, %int2_820 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %2568 = torch.prim.NumToTensor.Scalar %2566 : !torch.int -> !torch.vtensor<[],i1>
    %2569 = torch.prim.NumToTensor.Scalar %2567 : !torch.int -> !torch.vtensor<[],si64>
    %2570 = torch.prim.NumToTensor.Scalar %2564 : !torch.int -> !torch.vtensor<[],si64>
    %2571 = torch.aten.where.self %2568, %2569, %2570 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2572 = torch.aten.item %2571 : !torch.vtensor<[],si64> -> !torch.int
    %int3_821 = torch.constant.int 3
    %2573 = torch.aten.select.int %2542, %int0_814, %int3_821 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2574 = torch.aten.item %2573 : !torch.vtensor<[1],si64> -> !torch.int
    %2575 = torch.aten.eq.int %2574, %int0_814 : !torch.int, !torch.int -> !torch.bool
    %2576 = torch.aten.Int.bool %2575 : !torch.bool -> !torch.int
    %int4_822 = torch.constant.int 4
    %2577 = torch.aten.select.int %2542, %int0_814, %int4_822 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2578 = torch.aten.item %2577 : !torch.vtensor<[1],si64> -> !torch.int
    %2579 = torch.aten.eq.int %2578, %int0_814 : !torch.int, !torch.int -> !torch.bool
    %2580 = torch.aten.Int.bool %2579 : !torch.bool -> !torch.int
    %2581 = torch.prim.ListConstruct %2552, %2562, %2572, %2574, %2578 : (!torch.int, !torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2582 = torch.aten.reshape %2541, %2581 : !torch.vtensor<[?,8,?],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?,?,?],f32>
    %2583 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_823 = torch.constant.int 0
    %int1_824 = torch.constant.int 1
    %int0_825 = torch.constant.int 0
    %2584 = torch.aten.select.int %2583, %int0_823, %int0_825 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2585 = torch.aten.item %2584 : !torch.vtensor<[1],si64> -> !torch.int
    %2586 = torch.aten.lt.int %2585, %int0_823 : !torch.int, !torch.int -> !torch.bool
    %2587 = torch.aten.Int.bool %2586 : !torch.bool -> !torch.int
    %2588 = torch.aten.mul.int %2587, %int1_824 : !torch.int, !torch.int -> !torch.int
    %2589 = torch.aten.add.int %2585, %2588 : !torch.int, !torch.int -> !torch.int
    %int1_826 = torch.constant.int 1
    %2590 = torch.aten.select.int %2583, %int0_823, %int1_826 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2591 = torch.aten.item %2590 : !torch.vtensor<[1],si64> -> !torch.int
    %2592 = torch.aten.lt.int %2591, %int0_823 : !torch.int, !torch.int -> !torch.bool
    %2593 = torch.aten.Int.bool %2592 : !torch.bool -> !torch.int
    %2594 = torch.aten.mul.int %2593, %int1_824 : !torch.int, !torch.int -> !torch.int
    %2595 = torch.aten.add.int %2591, %2594 : !torch.int, !torch.int -> !torch.int
    %int2_827 = torch.constant.int 2
    %2596 = torch.aten.select.int %2583, %int0_823, %int2_827 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2597 = torch.aten.item %2596 : !torch.vtensor<[1],si64> -> !torch.int
    %2598 = torch.aten.lt.int %2597, %int0_823 : !torch.int, !torch.int -> !torch.bool
    %2599 = torch.aten.Int.bool %2598 : !torch.bool -> !torch.int
    %2600 = torch.aten.mul.int %2599, %int1_824 : !torch.int, !torch.int -> !torch.int
    %2601 = torch.aten.add.int %2597, %2600 : !torch.int, !torch.int -> !torch.int
    %2602 = torch.prim.ListConstruct %2589, %2595, %2601 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_828 = torch.constant.bool false
    %none_829 = torch.constant.none
    %2603 = torch.aten.tensor %2602, %none_829, %none_829, %false_828 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_830, %indices_831 = torch.aten.sort %2603, %int0_823, %false_828 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_832 = torch.constant.int 0
    %2604 = torch.aten.select.int %values_830, %int0_823, %int0_832 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2605 = torch.aten.item %2604 : !torch.vtensor<[1],si64> -> !torch.int
    %2606 = torch.aten.unsqueeze %2493, %2605 : !torch.vtensor<[64],f32>, !torch.int -> !torch.vtensor
    %int1_833 = torch.constant.int 1
    %2607 = torch.aten.select.int %values_830, %int0_823, %int1_833 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2608 = torch.aten.item %2607 : !torch.vtensor<[1],si64> -> !torch.int
    %2609 = torch.aten.unsqueeze %2606, %2608 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_834 = torch.constant.int 2
    %2610 = torch.aten.select.int %values_830, %int0_823, %int2_834 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2611 = torch.aten.item %2610 : !torch.vtensor<[1],si64> -> !torch.int
    %2612 = torch.aten.unsqueeze %2609, %2611 : !torch.vtensor, !torch.int -> !torch.vtensor<[64,1,1,1],f32>
    %2613 = torch.aten.mul.Tensor %2582, %2612 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.vtensor<[64,1,1,1],f32> -> !torch.vtensor<[?,64,?,?,?],f32>
    %2614 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_835 = torch.constant.int 0
    %int1_836 = torch.constant.int 1
    %int0_837 = torch.constant.int 0
    %2615 = torch.aten.select.int %2614, %int0_835, %int0_837 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2616 = torch.aten.item %2615 : !torch.vtensor<[1],si64> -> !torch.int
    %2617 = torch.aten.lt.int %2616, %int0_835 : !torch.int, !torch.int -> !torch.bool
    %2618 = torch.aten.Int.bool %2617 : !torch.bool -> !torch.int
    %2619 = torch.aten.mul.int %2618, %int1_836 : !torch.int, !torch.int -> !torch.int
    %2620 = torch.aten.add.int %2616, %2619 : !torch.int, !torch.int -> !torch.int
    %int1_838 = torch.constant.int 1
    %2621 = torch.aten.select.int %2614, %int0_835, %int1_838 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2622 = torch.aten.item %2621 : !torch.vtensor<[1],si64> -> !torch.int
    %2623 = torch.aten.lt.int %2622, %int0_835 : !torch.int, !torch.int -> !torch.bool
    %2624 = torch.aten.Int.bool %2623 : !torch.bool -> !torch.int
    %2625 = torch.aten.mul.int %2624, %int1_836 : !torch.int, !torch.int -> !torch.int
    %2626 = torch.aten.add.int %2622, %2625 : !torch.int, !torch.int -> !torch.int
    %int2_839 = torch.constant.int 2
    %2627 = torch.aten.select.int %2614, %int0_835, %int2_839 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2628 = torch.aten.item %2627 : !torch.vtensor<[1],si64> -> !torch.int
    %2629 = torch.aten.lt.int %2628, %int0_835 : !torch.int, !torch.int -> !torch.bool
    %2630 = torch.aten.Int.bool %2629 : !torch.bool -> !torch.int
    %2631 = torch.aten.mul.int %2630, %int1_836 : !torch.int, !torch.int -> !torch.int
    %2632 = torch.aten.add.int %2628, %2631 : !torch.int, !torch.int -> !torch.int
    %2633 = torch.prim.ListConstruct %2620, %2626, %2632 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_840 = torch.constant.bool false
    %none_841 = torch.constant.none
    %2634 = torch.aten.tensor %2633, %none_841, %none_841, %false_840 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_842, %indices_843 = torch.aten.sort %2634, %int0_835, %false_840 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_844 = torch.constant.int 0
    %2635 = torch.aten.select.int %values_842, %int0_835, %int0_844 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2636 = torch.aten.item %2635 : !torch.vtensor<[1],si64> -> !torch.int
    %2637 = torch.aten.unsqueeze %2505, %2636 : !torch.vtensor<[64],f32>, !torch.int -> !torch.vtensor
    %int1_845 = torch.constant.int 1
    %2638 = torch.aten.select.int %values_842, %int0_835, %int1_845 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2639 = torch.aten.item %2638 : !torch.vtensor<[1],si64> -> !torch.int
    %2640 = torch.aten.unsqueeze %2637, %2639 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_846 = torch.constant.int 2
    %2641 = torch.aten.select.int %values_842, %int0_835, %int2_846 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2642 = torch.aten.item %2641 : !torch.vtensor<[1],si64> -> !torch.int
    %2643 = torch.aten.unsqueeze %2640, %2642 : !torch.vtensor, !torch.int -> !torch.vtensor<[64,1,1,1],f32>
    %int1_847 = torch.constant.int 1
    %2644 = torch.aten.add.Tensor %2613, %2643, %int1_847 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.vtensor<[64,1,1,1],f32>, !torch.int -> !torch.vtensor<[?,64,?,?,?],f32>
    %2645 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %2646 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_848 = torch.constant.int 12
    %2647 = torch.aten.item %2645 : !torch.vtensor<[],f32> -> !torch.float
    %2648 = torch.aten.item %2646 : !torch.vtensor<[],si8> -> !torch.int
    %2649 = torch.aten.quantize_per_tensor %2644, %2647, %2648, %int12_848 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,64,?,?,?],!torch.qint8>
    %2650 = torch.aten.int_repr %2649 : !torch.vtensor<[?,64,?,?,?],!torch.qint8> -> !torch.vtensor<[?,64,?,?,?],si8>
    %2651 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %2652 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2653 = torch.aten.item %2651 : !torch.vtensor<[],f32> -> !torch.float
    %2654 = torch.aten.item %2652 : !torch.vtensor<[],si8> -> !torch.int
    %2655 = torch.aten._make_per_tensor_quantized_tensor %2650, %2653, %2654 : !torch.vtensor<[?,64,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,64,?,?,?],!torch.qint8>
    %2656 = torch.aten.dequantize.self %2655 : !torch.vtensor<[?,64,?,?,?],!torch.qint8> -> !torch.vtensor<[?,64,?,?,?],f32>
    %2657 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %2658 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_849 = torch.constant.int 12
    %2659 = torch.aten.item %2657 : !torch.vtensor<[],f32> -> !torch.float
    %2660 = torch.aten.item %2658 : !torch.vtensor<[],si8> -> !torch.int
    %2661 = torch.aten.quantize_per_tensor %35, %2659, %2660, %int12_849 : !torch.vtensor<[64,64,3,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,3,3,3],!torch.qint8>
    %2662 = torch.aten.int_repr %2661 : !torch.vtensor<[64,64,3,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3,3],si8>
    %2663 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %2664 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2665 = torch.aten.item %2663 : !torch.vtensor<[],f32> -> !torch.float
    %2666 = torch.aten.item %2664 : !torch.vtensor<[],si8> -> !torch.int
    %2667 = torch.aten._make_per_tensor_quantized_tensor %2662, %2665, %2666 : !torch.vtensor<[64,64,3,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,3,3,3],!torch.qint8>
    %2668 = torch.aten.dequantize.self %2667 : !torch.vtensor<[64,64,3,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3,3],f32>
    %int1_850 = torch.constant.int 1
    %int1_851 = torch.constant.int 1
    %int1_852 = torch.constant.int 1
    %int1_853 = torch.constant.int 1
    %int1_854 = torch.constant.int 1
    %int1_855 = torch.constant.int 1
    %int1_856 = torch.constant.int 1
    %int1_857 = torch.constant.int 1
    %int1_858 = torch.constant.int 1
    %int0_859 = torch.constant.int 0
    %2669 = torch.prim.ListConstruct %int1_850, %int1_851, %int1_852 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2670 = torch.prim.ListConstruct %int1_853, %int1_854, %int1_855 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2671 = torch.prim.ListConstruct %int1_856, %int1_857, %int1_858 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2672 = torch.prim.ListConstruct %int0_859, %int0_859 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_860 = torch.constant.bool false
    %none_861 = torch.constant.none
    %int1_862 = torch.constant.int 1
    %2673 = torch.aten.convolution %2656, %2668, %none_861, %2671, %2669, %2670, %false_860, %2672, %int1_862 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.vtensor<[64,64,3,3,3],f32>, !torch.none, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[?,64,?,?,?],f32>
    %2674 = torch.aten.relu %2673 : !torch.vtensor<[?,64,?,?,?],f32> -> !torch.vtensor<[?,64,?,?,?],f32>
    %2675 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %2676 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_863 = torch.constant.int 12
    %2677 = torch.aten.item %2675 : !torch.vtensor<[],f32> -> !torch.float
    %2678 = torch.aten.item %2676 : !torch.vtensor<[],si8> -> !torch.int
    %2679 = torch.aten.quantize_per_tensor %2674, %2677, %2678, %int12_863 : !torch.vtensor<[?,64,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,64,?,?,?],!torch.qint8>
    %2680 = torch.aten.int_repr %2679 : !torch.vtensor<[?,64,?,?,?],!torch.qint8> -> !torch.vtensor<[?,64,?,?,?],si8>
    %2681 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %2682 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2683 = torch.aten.item %2681 : !torch.vtensor<[],f32> -> !torch.float
    %2684 = torch.aten.item %2682 : !torch.vtensor<[],si8> -> !torch.int
    %2685 = torch.aten._make_per_tensor_quantized_tensor %2680, %2683, %2684 : !torch.vtensor<[?,64,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,64,?,?,?],!torch.qint8>
    %2686 = torch.aten.dequantize.self %2685 : !torch.vtensor<[?,64,?,?,?],!torch.qint8> -> !torch.vtensor<[?,64,?,?,?],f32>
    %2687 = torch.vtensor.literal(dense<64> : tensor<si64>) : !torch.vtensor<[],si64>
    %2688 = torch.vtensor.literal(dense<128> : tensor<si64>) : !torch.vtensor<[],si64>
    %2689 = torch.vtensor.literal(dense<128> : tensor<si64>) : !torch.vtensor<[],si64>
    %2690 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_864 = torch.constant.int 0
    %int0_865 = torch.constant.int 0
    %int0_866 = torch.constant.int 0
    %2691 = torch.aten.select.int %2690, %int0_864, %int0_866 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2692 = torch.aten.item %2691 : !torch.vtensor<[1],si64> -> !torch.int
    %2693 = torch.aten.lt.int %2692, %int0_864 : !torch.int, !torch.int -> !torch.bool
    %2694 = torch.aten.Int.bool %2693 : !torch.bool -> !torch.int
    %2695 = torch.aten.mul.int %2694, %int0_865 : !torch.int, !torch.int -> !torch.int
    %2696 = torch.aten.add.int %2692, %2695 : !torch.int, !torch.int -> !torch.int
    %2697 = torch.prim.ListConstruct %2696 : (!torch.int) -> !torch.list<int>
    %false_867 = torch.constant.bool false
    %none_868 = torch.constant.none
    %2698 = torch.aten.tensor %2697, %none_868, %none_868, %false_867 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_869, %indices_870 = torch.aten.sort %2698, %int0_864, %false_867 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_871 = torch.constant.int 0
    %2699 = torch.aten.select.int %values_869, %int0_864, %int0_871 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2700 = torch.aten.item %2699 : !torch.vtensor<[1],si64> -> !torch.int
    %2701 = torch.aten.unsqueeze %2687, %2700 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %2702 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_872 = torch.constant.int 0
    %int0_873 = torch.constant.int 0
    %int0_874 = torch.constant.int 0
    %2703 = torch.aten.select.int %2702, %int0_872, %int0_874 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2704 = torch.aten.item %2703 : !torch.vtensor<[1],si64> -> !torch.int
    %2705 = torch.aten.lt.int %2704, %int0_872 : !torch.int, !torch.int -> !torch.bool
    %2706 = torch.aten.Int.bool %2705 : !torch.bool -> !torch.int
    %2707 = torch.aten.mul.int %2706, %int0_873 : !torch.int, !torch.int -> !torch.int
    %2708 = torch.aten.add.int %2704, %2707 : !torch.int, !torch.int -> !torch.int
    %2709 = torch.prim.ListConstruct %2708 : (!torch.int) -> !torch.list<int>
    %false_875 = torch.constant.bool false
    %none_876 = torch.constant.none
    %2710 = torch.aten.tensor %2709, %none_876, %none_876, %false_875 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_877, %indices_878 = torch.aten.sort %2710, %int0_872, %false_875 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_879 = torch.constant.int 0
    %2711 = torch.aten.select.int %values_877, %int0_872, %int0_879 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2712 = torch.aten.item %2711 : !torch.vtensor<[1],si64> -> !torch.int
    %2713 = torch.aten.unsqueeze %2688, %2712 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %2714 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_880 = torch.constant.int 0
    %int0_881 = torch.constant.int 0
    %int0_882 = torch.constant.int 0
    %2715 = torch.aten.select.int %2714, %int0_880, %int0_882 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2716 = torch.aten.item %2715 : !torch.vtensor<[1],si64> -> !torch.int
    %2717 = torch.aten.lt.int %2716, %int0_880 : !torch.int, !torch.int -> !torch.bool
    %2718 = torch.aten.Int.bool %2717 : !torch.bool -> !torch.int
    %2719 = torch.aten.mul.int %2718, %int0_881 : !torch.int, !torch.int -> !torch.int
    %2720 = torch.aten.add.int %2716, %2719 : !torch.int, !torch.int -> !torch.int
    %2721 = torch.prim.ListConstruct %2720 : (!torch.int) -> !torch.list<int>
    %false_883 = torch.constant.bool false
    %none_884 = torch.constant.none
    %2722 = torch.aten.tensor %2721, %none_884, %none_884, %false_883 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_885, %indices_886 = torch.aten.sort %2722, %int0_880, %false_883 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_887 = torch.constant.int 0
    %2723 = torch.aten.select.int %values_885, %int0_880, %int0_887 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2724 = torch.aten.item %2723 : !torch.vtensor<[1],si64> -> !torch.int
    %2725 = torch.aten.unsqueeze %2689, %2724 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %2726 = torch.prim.ListConstruct %2701, %2713, %2725 : (!torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>) -> !torch.list<vtensor>
    %int0_888 = torch.constant.int 0
    %2727 = torch.aten.cat %2726, %int0_888 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[3],si64>
    %2728 = torch.aten._shape_as_tensor %2686 : !torch.vtensor<[?,64,?,?,?],f32> -> !torch.vtensor<[5],si64>
    %2729 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2730 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2731 = torch.vtensor.literal(dense<2> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %none_889 = torch.constant.none
    %int1_890 = torch.constant.int 1
    %2732 = torch.prim.ListConstruct %int1_890 : (!torch.int) -> !torch.list<int>
    %2733 = torch.aten.ones %2732, %none_889, %none_889, %none_889, %none_889 : !torch.list<int>, !torch.none, !torch.none, !torch.none, !torch.none -> !torch.vtensor<[1],si64>
    %int0_891 = torch.constant.int 0
    %int0_892 = torch.constant.int 0
    %2734 = torch.prim.NumToTensor.Scalar %int0_892 : !torch.int -> !torch.vtensor<[1],si64>
    %2735 = torch.aten.index_select %2730, %int0_891, %2734 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2736 = torch.aten.item %2735 : !torch.vtensor<[1],si64> -> !torch.int
    %2737 = torch.aten.index_select %2731, %int0_891, %2734 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2738 = torch.aten.item %2737 : !torch.vtensor<[1],si64> -> !torch.int
    %2739 = torch.aten.index_select %2729, %int0_891, %2734 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2740 = torch.aten.item %2739 : !torch.vtensor<[1],si64> -> !torch.int
    %2741 = torch.aten.index_select %2733, %int0_891, %2734 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2742 = torch.aten.item %2741 : !torch.vtensor<[1],si64> -> !torch.int
    %2743 = torch.aten.slice.Tensor %2728, %2740, %2736, %2738, %2742 : !torch.vtensor<[5],si64>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[2],si64>
    %int4_893 = torch.constant.int 4
    %none_894 = torch.constant.none
    %false_895 = torch.constant.bool false
    %2744 = torch.aten.to.dtype %2727, %int4_893, %false_895, %false_895, %none_894 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[3],si64>
    %2745 = torch.prim.ListConstruct %2743, %2744 : (!torch.vtensor<[2],si64>, !torch.vtensor<[3],si64>) -> !torch.list<vtensor>
    %int0_896 = torch.constant.int 0
    %2746 = torch.aten.cat %2745, %int0_896 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[5],si64>
    %2747 = torch.operator "onnx.Resize"(%2686, %none, %none, %2746) {torch.onnx.coordinate_transformation_mode = "asymmetric", torch.onnx.cubic_coeff_a = -7.500000e-01 : f32, torch.onnx.mode = "nearest", torch.onnx.nearest_mode = "floor"} : (!torch.vtensor<[?,64,?,?,?],f32>, !torch.none, !torch.none, !torch.vtensor<[5],si64>) -> !torch.vtensor<[?,?,?,?,?],f32> 
    %2748 = torch.prim.ListConstruct %435, %2747 : (!torch.vtensor<[?,32,?,?,?],f32>, !torch.vtensor<[?,?,?,?,?],f32>) -> !torch.list<vtensor>
    %int1_897 = torch.constant.int 1
    %2749 = torch.aten.cat %2748, %int1_897 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[?,?,?,?,?],f32>
    %2750 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %2751 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_898 = torch.constant.int 12
    %2752 = torch.aten.item %2750 : !torch.vtensor<[],f32> -> !torch.float
    %2753 = torch.aten.item %2751 : !torch.vtensor<[],si8> -> !torch.int
    %2754 = torch.aten.quantize_per_tensor %2749, %2752, %2753, %int12_898 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,?,?,?,?],!torch.qint8>
    %2755 = torch.aten.int_repr %2754 : !torch.vtensor<[?,?,?,?,?],!torch.qint8> -> !torch.vtensor<[?,?,?,?,?],si8>
    %2756 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %2757 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2758 = torch.aten.item %2756 : !torch.vtensor<[],f32> -> !torch.float
    %2759 = torch.aten.item %2757 : !torch.vtensor<[],si8> -> !torch.int
    %2760 = torch.aten._make_per_tensor_quantized_tensor %2755, %2758, %2759 : !torch.vtensor<[?,?,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,?,?,?,?],!torch.qint8>
    %2761 = torch.aten.dequantize.self %2760 : !torch.vtensor<[?,?,?,?,?],!torch.qint8> -> !torch.vtensor<[?,?,?,?,?],f32>
    %2762 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2763 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_899 = torch.constant.int 12
    %2764 = torch.aten.item %2762 : !torch.vtensor<[],f32> -> !torch.float
    %2765 = torch.aten.item %2763 : !torch.vtensor<[],si8> -> !torch.int
    %2766 = torch.aten.quantize_per_tensor %36, %2764, %2765, %int12_899 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
    %2767 = torch.aten.int_repr %2766 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
    %2768 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2769 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2770 = torch.aten.item %2768 : !torch.vtensor<[],f32> -> !torch.float
    %2771 = torch.aten.item %2769 : !torch.vtensor<[],si8> -> !torch.int
    %2772 = torch.aten._make_per_tensor_quantized_tensor %2767, %2770, %2771 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
    %2773 = torch.aten.dequantize.self %2772 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
    %2774 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %2775 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_900 = torch.constant.int 12
    %2776 = torch.aten.item %2774 : !torch.vtensor<[],f32> -> !torch.float
    %2777 = torch.aten.item %2775 : !torch.vtensor<[],si8> -> !torch.int
    %2778 = torch.aten.quantize_per_tensor %37, %2776, %2777, %int12_900 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
    %2779 = torch.aten.int_repr %2778 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
    %2780 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %2781 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2782 = torch.aten.item %2780 : !torch.vtensor<[],f32> -> !torch.float
    %2783 = torch.aten.item %2781 : !torch.vtensor<[],si8> -> !torch.int
    %2784 = torch.aten._make_per_tensor_quantized_tensor %2779, %2782, %2783 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
    %2785 = torch.aten.dequantize.self %2784 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
    %2786 = torch.vtensor.literal(dense<[0, 8, -1]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_901 = torch.constant.int 0
    %int0_902 = torch.constant.int 0
    %2787 = torch.aten.select.int %2786, %int0_901, %int0_902 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2788 = torch.aten.item %2787 : !torch.vtensor<[1],si64> -> !torch.int
    %2789 = torch.aten.eq.int %2788, %int0_901 : !torch.int, !torch.int -> !torch.bool
    %2790 = torch.aten.Int.bool %2789 : !torch.bool -> !torch.int
    %int0_903 = torch.constant.int 0
    %2791 = torch.aten.size.int %2761, %int0_903 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.int -> !torch.int
    %2792 = torch.prim.NumToTensor.Scalar %2790 : !torch.int -> !torch.vtensor<[],i1>
    %2793 = torch.prim.NumToTensor.Scalar %2791 : !torch.int -> !torch.vtensor<[],si64>
    %2794 = torch.prim.NumToTensor.Scalar %2788 : !torch.int -> !torch.vtensor<[],si64>
    %2795 = torch.aten.where.self %2792, %2793, %2794 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2796 = torch.aten.item %2795 : !torch.vtensor<[],si64> -> !torch.int
    %int1_904 = torch.constant.int 1
    %2797 = torch.aten.select.int %2786, %int0_901, %int1_904 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2798 = torch.aten.item %2797 : !torch.vtensor<[1],si64> -> !torch.int
    %2799 = torch.aten.eq.int %2798, %int0_901 : !torch.int, !torch.int -> !torch.bool
    %2800 = torch.aten.Int.bool %2799 : !torch.bool -> !torch.int
    %int1_905 = torch.constant.int 1
    %2801 = torch.aten.size.int %2761, %int1_905 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.int -> !torch.int
    %2802 = torch.prim.NumToTensor.Scalar %2800 : !torch.int -> !torch.vtensor<[],i1>
    %2803 = torch.prim.NumToTensor.Scalar %2801 : !torch.int -> !torch.vtensor<[],si64>
    %2804 = torch.prim.NumToTensor.Scalar %2798 : !torch.int -> !torch.vtensor<[],si64>
    %2805 = torch.aten.where.self %2802, %2803, %2804 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2806 = torch.aten.item %2805 : !torch.vtensor<[],si64> -> !torch.int
    %int2_906 = torch.constant.int 2
    %2807 = torch.aten.select.int %2786, %int0_901, %int2_906 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2808 = torch.aten.item %2807 : !torch.vtensor<[1],si64> -> !torch.int
    %2809 = torch.aten.eq.int %2808, %int0_901 : !torch.int, !torch.int -> !torch.bool
    %2810 = torch.aten.Int.bool %2809 : !torch.bool -> !torch.int
    %int2_907 = torch.constant.int 2
    %2811 = torch.aten.size.int %2761, %int2_907 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.int -> !torch.int
    %2812 = torch.prim.NumToTensor.Scalar %2810 : !torch.int -> !torch.vtensor<[],i1>
    %2813 = torch.prim.NumToTensor.Scalar %2811 : !torch.int -> !torch.vtensor<[],si64>
    %2814 = torch.prim.NumToTensor.Scalar %2808 : !torch.int -> !torch.vtensor<[],si64>
    %2815 = torch.aten.where.self %2812, %2813, %2814 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2816 = torch.aten.item %2815 : !torch.vtensor<[],si64> -> !torch.int
    %2817 = torch.prim.ListConstruct %2796, %2806, %2816 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2818 = torch.aten.reshape %2761, %2817 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[?,8,?],f32>
    %2819 = torch.vtensor.literal(dense<1.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %2820 = torch.vtensor.literal(dense<0.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %none_908 = torch.constant.none
    %true_909 = torch.constant.bool true
    %false_910 = torch.constant.bool false
    %float9.999990e-06_911 = torch.constant.float 9.9999997473787516E-6
    %float0.000000e00_912 = torch.constant.float 0.000000e+00
    %2821 = torch.aten.instance_norm %2818, %2819, %2820, %none_908, %none_908, %true_909, %float0.000000e00_912, %float9.999990e-06_911, %false_910 : !torch.vtensor<[?,8,?],f32>, !torch.vtensor<[8],f32>, !torch.vtensor<[8],f32>, !torch.none, !torch.none, !torch.bool, !torch.float, !torch.float, !torch.bool -> !torch.vtensor<[?,8,?],f32>
    %2822 = torch.aten._shape_as_tensor %2761 : !torch.vtensor<[?,?,?,?,?],f32> -> !torch.vtensor<[5],si64>
    %int0_913 = torch.constant.int 0
    %int0_914 = torch.constant.int 0
    %2823 = torch.aten.select.int %2822, %int0_913, %int0_914 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2824 = torch.aten.item %2823 : !torch.vtensor<[1],si64> -> !torch.int
    %2825 = torch.aten.eq.int %2824, %int0_913 : !torch.int, !torch.int -> !torch.bool
    %2826 = torch.aten.Int.bool %2825 : !torch.bool -> !torch.int
    %int0_915 = torch.constant.int 0
    %2827 = torch.aten.size.int %2821, %int0_915 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %2828 = torch.prim.NumToTensor.Scalar %2826 : !torch.int -> !torch.vtensor<[],i1>
    %2829 = torch.prim.NumToTensor.Scalar %2827 : !torch.int -> !torch.vtensor<[],si64>
    %2830 = torch.prim.NumToTensor.Scalar %2824 : !torch.int -> !torch.vtensor<[],si64>
    %2831 = torch.aten.where.self %2828, %2829, %2830 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2832 = torch.aten.item %2831 : !torch.vtensor<[],si64> -> !torch.int
    %int1_916 = torch.constant.int 1
    %2833 = torch.aten.select.int %2822, %int0_913, %int1_916 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2834 = torch.aten.item %2833 : !torch.vtensor<[1],si64> -> !torch.int
    %2835 = torch.aten.eq.int %2834, %int0_913 : !torch.int, !torch.int -> !torch.bool
    %2836 = torch.aten.Int.bool %2835 : !torch.bool -> !torch.int
    %int1_917 = torch.constant.int 1
    %2837 = torch.aten.size.int %2821, %int1_917 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %2838 = torch.prim.NumToTensor.Scalar %2836 : !torch.int -> !torch.vtensor<[],i1>
    %2839 = torch.prim.NumToTensor.Scalar %2837 : !torch.int -> !torch.vtensor<[],si64>
    %2840 = torch.prim.NumToTensor.Scalar %2834 : !torch.int -> !torch.vtensor<[],si64>
    %2841 = torch.aten.where.self %2838, %2839, %2840 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2842 = torch.aten.item %2841 : !torch.vtensor<[],si64> -> !torch.int
    %int2_918 = torch.constant.int 2
    %2843 = torch.aten.select.int %2822, %int0_913, %int2_918 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2844 = torch.aten.item %2843 : !torch.vtensor<[1],si64> -> !torch.int
    %2845 = torch.aten.eq.int %2844, %int0_913 : !torch.int, !torch.int -> !torch.bool
    %2846 = torch.aten.Int.bool %2845 : !torch.bool -> !torch.int
    %int2_919 = torch.constant.int 2
    %2847 = torch.aten.size.int %2821, %int2_919 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %2848 = torch.prim.NumToTensor.Scalar %2846 : !torch.int -> !torch.vtensor<[],i1>
    %2849 = torch.prim.NumToTensor.Scalar %2847 : !torch.int -> !torch.vtensor<[],si64>
    %2850 = torch.prim.NumToTensor.Scalar %2844 : !torch.int -> !torch.vtensor<[],si64>
    %2851 = torch.aten.where.self %2848, %2849, %2850 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %2852 = torch.aten.item %2851 : !torch.vtensor<[],si64> -> !torch.int
    %int3_920 = torch.constant.int 3
    %2853 = torch.aten.select.int %2822, %int0_913, %int3_920 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2854 = torch.aten.item %2853 : !torch.vtensor<[1],si64> -> !torch.int
    %2855 = torch.aten.eq.int %2854, %int0_913 : !torch.int, !torch.int -> !torch.bool
    %2856 = torch.aten.Int.bool %2855 : !torch.bool -> !torch.int
    %int4_921 = torch.constant.int 4
    %2857 = torch.aten.select.int %2822, %int0_913, %int4_921 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2858 = torch.aten.item %2857 : !torch.vtensor<[1],si64> -> !torch.int
    %2859 = torch.aten.eq.int %2858, %int0_913 : !torch.int, !torch.int -> !torch.bool
    %2860 = torch.aten.Int.bool %2859 : !torch.bool -> !torch.int
    %2861 = torch.prim.ListConstruct %2832, %2842, %2852, %2854, %2858 : (!torch.int, !torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2862 = torch.aten.reshape %2821, %2861 : !torch.vtensor<[?,8,?],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?,?,?],f32>
    %2863 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_922 = torch.constant.int 0
    %int1_923 = torch.constant.int 1
    %int0_924 = torch.constant.int 0
    %2864 = torch.aten.select.int %2863, %int0_922, %int0_924 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2865 = torch.aten.item %2864 : !torch.vtensor<[1],si64> -> !torch.int
    %2866 = torch.aten.lt.int %2865, %int0_922 : !torch.int, !torch.int -> !torch.bool
    %2867 = torch.aten.Int.bool %2866 : !torch.bool -> !torch.int
    %2868 = torch.aten.mul.int %2867, %int1_923 : !torch.int, !torch.int -> !torch.int
    %2869 = torch.aten.add.int %2865, %2868 : !torch.int, !torch.int -> !torch.int
    %int1_925 = torch.constant.int 1
    %2870 = torch.aten.select.int %2863, %int0_922, %int1_925 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2871 = torch.aten.item %2870 : !torch.vtensor<[1],si64> -> !torch.int
    %2872 = torch.aten.lt.int %2871, %int0_922 : !torch.int, !torch.int -> !torch.bool
    %2873 = torch.aten.Int.bool %2872 : !torch.bool -> !torch.int
    %2874 = torch.aten.mul.int %2873, %int1_923 : !torch.int, !torch.int -> !torch.int
    %2875 = torch.aten.add.int %2871, %2874 : !torch.int, !torch.int -> !torch.int
    %int2_926 = torch.constant.int 2
    %2876 = torch.aten.select.int %2863, %int0_922, %int2_926 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2877 = torch.aten.item %2876 : !torch.vtensor<[1],si64> -> !torch.int
    %2878 = torch.aten.lt.int %2877, %int0_922 : !torch.int, !torch.int -> !torch.bool
    %2879 = torch.aten.Int.bool %2878 : !torch.bool -> !torch.int
    %2880 = torch.aten.mul.int %2879, %int1_923 : !torch.int, !torch.int -> !torch.int
    %2881 = torch.aten.add.int %2877, %2880 : !torch.int, !torch.int -> !torch.int
    %2882 = torch.prim.ListConstruct %2869, %2875, %2881 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_927 = torch.constant.bool false
    %none_928 = torch.constant.none
    %2883 = torch.aten.tensor %2882, %none_928, %none_928, %false_927 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_929, %indices_930 = torch.aten.sort %2883, %int0_922, %false_927 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_931 = torch.constant.int 0
    %2884 = torch.aten.select.int %values_929, %int0_922, %int0_931 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2885 = torch.aten.item %2884 : !torch.vtensor<[1],si64> -> !torch.int
    %2886 = torch.aten.unsqueeze %2773, %2885 : !torch.vtensor<[96],f32>, !torch.int -> !torch.vtensor
    %int1_932 = torch.constant.int 1
    %2887 = torch.aten.select.int %values_929, %int0_922, %int1_932 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2888 = torch.aten.item %2887 : !torch.vtensor<[1],si64> -> !torch.int
    %2889 = torch.aten.unsqueeze %2886, %2888 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_933 = torch.constant.int 2
    %2890 = torch.aten.select.int %values_929, %int0_922, %int2_933 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2891 = torch.aten.item %2890 : !torch.vtensor<[1],si64> -> !torch.int
    %2892 = torch.aten.unsqueeze %2889, %2891 : !torch.vtensor, !torch.int -> !torch.vtensor<[96,1,1,1],f32>
    %2893 = torch.aten.mul.Tensor %2862, %2892 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.vtensor<[96,1,1,1],f32> -> !torch.vtensor<[?,96,?,?,?],f32>
    %2894 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_934 = torch.constant.int 0
    %int1_935 = torch.constant.int 1
    %int0_936 = torch.constant.int 0
    %2895 = torch.aten.select.int %2894, %int0_934, %int0_936 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2896 = torch.aten.item %2895 : !torch.vtensor<[1],si64> -> !torch.int
    %2897 = torch.aten.lt.int %2896, %int0_934 : !torch.int, !torch.int -> !torch.bool
    %2898 = torch.aten.Int.bool %2897 : !torch.bool -> !torch.int
    %2899 = torch.aten.mul.int %2898, %int1_935 : !torch.int, !torch.int -> !torch.int
    %2900 = torch.aten.add.int %2896, %2899 : !torch.int, !torch.int -> !torch.int
    %int1_937 = torch.constant.int 1
    %2901 = torch.aten.select.int %2894, %int0_934, %int1_937 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2902 = torch.aten.item %2901 : !torch.vtensor<[1],si64> -> !torch.int
    %2903 = torch.aten.lt.int %2902, %int0_934 : !torch.int, !torch.int -> !torch.bool
    %2904 = torch.aten.Int.bool %2903 : !torch.bool -> !torch.int
    %2905 = torch.aten.mul.int %2904, %int1_935 : !torch.int, !torch.int -> !torch.int
    %2906 = torch.aten.add.int %2902, %2905 : !torch.int, !torch.int -> !torch.int
    %int2_938 = torch.constant.int 2
    %2907 = torch.aten.select.int %2894, %int0_934, %int2_938 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2908 = torch.aten.item %2907 : !torch.vtensor<[1],si64> -> !torch.int
    %2909 = torch.aten.lt.int %2908, %int0_934 : !torch.int, !torch.int -> !torch.bool
    %2910 = torch.aten.Int.bool %2909 : !torch.bool -> !torch.int
    %2911 = torch.aten.mul.int %2910, %int1_935 : !torch.int, !torch.int -> !torch.int
    %2912 = torch.aten.add.int %2908, %2911 : !torch.int, !torch.int -> !torch.int
    %2913 = torch.prim.ListConstruct %2900, %2906, %2912 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_939 = torch.constant.bool false
    %none_940 = torch.constant.none
    %2914 = torch.aten.tensor %2913, %none_940, %none_940, %false_939 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_941, %indices_942 = torch.aten.sort %2914, %int0_934, %false_939 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_943 = torch.constant.int 0
    %2915 = torch.aten.select.int %values_941, %int0_934, %int0_943 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2916 = torch.aten.item %2915 : !torch.vtensor<[1],si64> -> !torch.int
    %2917 = torch.aten.unsqueeze %2785, %2916 : !torch.vtensor<[96],f32>, !torch.int -> !torch.vtensor
    %int1_944 = torch.constant.int 1
    %2918 = torch.aten.select.int %values_941, %int0_934, %int1_944 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2919 = torch.aten.item %2918 : !torch.vtensor<[1],si64> -> !torch.int
    %2920 = torch.aten.unsqueeze %2917, %2919 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_945 = torch.constant.int 2
    %2921 = torch.aten.select.int %values_941, %int0_934, %int2_945 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2922 = torch.aten.item %2921 : !torch.vtensor<[1],si64> -> !torch.int
    %2923 = torch.aten.unsqueeze %2920, %2922 : !torch.vtensor, !torch.int -> !torch.vtensor<[96,1,1,1],f32>
    %int1_946 = torch.constant.int 1
    %2924 = torch.aten.add.Tensor %2893, %2923, %int1_946 : !torch.vtensor<[?,96,?,?,?],f32>, !torch.vtensor<[96,1,1,1],f32>, !torch.int -> !torch.vtensor<[?,96,?,?,?],f32>
    %2925 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %2926 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_947 = torch.constant.int 12
    %2927 = torch.aten.item %2925 : !torch.vtensor<[],f32> -> !torch.float
    %2928 = torch.aten.item %2926 : !torch.vtensor<[],si8> -> !torch.int
    %2929 = torch.aten.quantize_per_tensor %2924, %2927, %2928, %int12_947 : !torch.vtensor<[?,96,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,96,?,?,?],!torch.qint8>
    %2930 = torch.aten.int_repr %2929 : !torch.vtensor<[?,96,?,?,?],!torch.qint8> -> !torch.vtensor<[?,96,?,?,?],si8>
    %2931 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %2932 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2933 = torch.aten.item %2931 : !torch.vtensor<[],f32> -> !torch.float
    %2934 = torch.aten.item %2932 : !torch.vtensor<[],si8> -> !torch.int
    %2935 = torch.aten._make_per_tensor_quantized_tensor %2930, %2933, %2934 : !torch.vtensor<[?,96,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,96,?,?,?],!torch.qint8>
    %2936 = torch.aten.dequantize.self %2935 : !torch.vtensor<[?,96,?,?,?],!torch.qint8> -> !torch.vtensor<[?,96,?,?,?],f32>
    %2937 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %2938 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_948 = torch.constant.int 12
    %2939 = torch.aten.item %2937 : !torch.vtensor<[],f32> -> !torch.float
    %2940 = torch.aten.item %2938 : !torch.vtensor<[],si8> -> !torch.int
    %2941 = torch.aten.quantize_per_tensor %38, %2939, %2940, %int12_948 : !torch.vtensor<[32,96,3,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,96,3,3,3],!torch.qint8>
    %2942 = torch.aten.int_repr %2941 : !torch.vtensor<[32,96,3,3,3],!torch.qint8> -> !torch.vtensor<[32,96,3,3,3],si8>
    %2943 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %2944 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2945 = torch.aten.item %2943 : !torch.vtensor<[],f32> -> !torch.float
    %2946 = torch.aten.item %2944 : !torch.vtensor<[],si8> -> !torch.int
    %2947 = torch.aten._make_per_tensor_quantized_tensor %2942, %2945, %2946 : !torch.vtensor<[32,96,3,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,96,3,3,3],!torch.qint8>
    %2948 = torch.aten.dequantize.self %2947 : !torch.vtensor<[32,96,3,3,3],!torch.qint8> -> !torch.vtensor<[32,96,3,3,3],f32>
    %int1_949 = torch.constant.int 1
    %int1_950 = torch.constant.int 1
    %int1_951 = torch.constant.int 1
    %int1_952 = torch.constant.int 1
    %int1_953 = torch.constant.int 1
    %int1_954 = torch.constant.int 1
    %int1_955 = torch.constant.int 1
    %int1_956 = torch.constant.int 1
    %int1_957 = torch.constant.int 1
    %int0_958 = torch.constant.int 0
    %2949 = torch.prim.ListConstruct %int1_949, %int1_950, %int1_951 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2950 = torch.prim.ListConstruct %int1_952, %int1_953, %int1_954 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2951 = torch.prim.ListConstruct %int1_955, %int1_956, %int1_957 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %2952 = torch.prim.ListConstruct %int0_958, %int0_958 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_959 = torch.constant.bool false
    %none_960 = torch.constant.none
    %int1_961 = torch.constant.int 1
    %2953 = torch.aten.convolution %2936, %2948, %none_960, %2951, %2949, %2950, %false_959, %2952, %int1_961 : !torch.vtensor<[?,96,?,?,?],f32>, !torch.vtensor<[32,96,3,3,3],f32>, !torch.none, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[?,32,?,?,?],f32>
    %2954 = torch.aten.relu %2953 : !torch.vtensor<[?,32,?,?,?],f32> -> !torch.vtensor<[?,32,?,?,?],f32>
    %2955 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %2956 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_962 = torch.constant.int 12
    %2957 = torch.aten.item %2955 : !torch.vtensor<[],f32> -> !torch.float
    %2958 = torch.aten.item %2956 : !torch.vtensor<[],si8> -> !torch.int
    %2959 = torch.aten.quantize_per_tensor %2954, %2957, %2958, %int12_962 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,32,?,?,?],!torch.qint8>
    %2960 = torch.aten.int_repr %2959 : !torch.vtensor<[?,32,?,?,?],!torch.qint8> -> !torch.vtensor<[?,32,?,?,?],si8>
    %2961 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %2962 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2963 = torch.aten.item %2961 : !torch.vtensor<[],f32> -> !torch.float
    %2964 = torch.aten.item %2962 : !torch.vtensor<[],si8> -> !torch.int
    %2965 = torch.aten._make_per_tensor_quantized_tensor %2960, %2963, %2964 : !torch.vtensor<[?,32,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,32,?,?,?],!torch.qint8>
    %2966 = torch.aten.dequantize.self %2965 : !torch.vtensor<[?,32,?,?,?],!torch.qint8> -> !torch.vtensor<[?,32,?,?,?],f32>
    %2967 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2968 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_963 = torch.constant.int 12
    %2969 = torch.aten.item %2967 : !torch.vtensor<[],f32> -> !torch.float
    %2970 = torch.aten.item %2968 : !torch.vtensor<[],si8> -> !torch.int
    %2971 = torch.aten.quantize_per_tensor %39, %2969, %2970, %int12_963 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %2972 = torch.aten.int_repr %2971 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
    %2973 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2974 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2975 = torch.aten.item %2973 : !torch.vtensor<[],f32> -> !torch.float
    %2976 = torch.aten.item %2974 : !torch.vtensor<[],si8> -> !torch.int
    %2977 = torch.aten._make_per_tensor_quantized_tensor %2972, %2975, %2976 : !torch.vtensor<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %2978 = torch.aten.dequantize.self %2977 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
    %2979 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %2980 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_964 = torch.constant.int 12
    %2981 = torch.aten.item %2979 : !torch.vtensor<[],f32> -> !torch.float
    %2982 = torch.aten.item %2980 : !torch.vtensor<[],si8> -> !torch.int
    %2983 = torch.aten.quantize_per_tensor %40, %2981, %2982, %int12_964 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %2984 = torch.aten.int_repr %2983 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
    %2985 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %2986 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2987 = torch.aten.item %2985 : !torch.vtensor<[],f32> -> !torch.float
    %2988 = torch.aten.item %2986 : !torch.vtensor<[],si8> -> !torch.int
    %2989 = torch.aten._make_per_tensor_quantized_tensor %2984, %2987, %2988 : !torch.vtensor<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %2990 = torch.aten.dequantize.self %2989 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
    %2991 = torch.vtensor.literal(dense<[0, 8, -1]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_965 = torch.constant.int 0
    %int0_966 = torch.constant.int 0
    %2992 = torch.aten.select.int %2991, %int0_965, %int0_966 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %2993 = torch.aten.item %2992 : !torch.vtensor<[1],si64> -> !torch.int
    %2994 = torch.aten.eq.int %2993, %int0_965 : !torch.int, !torch.int -> !torch.bool
    %2995 = torch.aten.Int.bool %2994 : !torch.bool -> !torch.int
    %int0_967 = torch.constant.int 0
    %2996 = torch.aten.size.int %2966, %int0_967 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.int -> !torch.int
    %2997 = torch.prim.NumToTensor.Scalar %2995 : !torch.int -> !torch.vtensor<[],i1>
    %2998 = torch.prim.NumToTensor.Scalar %2996 : !torch.int -> !torch.vtensor<[],si64>
    %2999 = torch.prim.NumToTensor.Scalar %2993 : !torch.int -> !torch.vtensor<[],si64>
    %3000 = torch.aten.where.self %2997, %2998, %2999 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %3001 = torch.aten.item %3000 : !torch.vtensor<[],si64> -> !torch.int
    %int1_968 = torch.constant.int 1
    %3002 = torch.aten.select.int %2991, %int0_965, %int1_968 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3003 = torch.aten.item %3002 : !torch.vtensor<[1],si64> -> !torch.int
    %3004 = torch.aten.eq.int %3003, %int0_965 : !torch.int, !torch.int -> !torch.bool
    %3005 = torch.aten.Int.bool %3004 : !torch.bool -> !torch.int
    %int1_969 = torch.constant.int 1
    %3006 = torch.aten.size.int %2966, %int1_969 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.int -> !torch.int
    %3007 = torch.prim.NumToTensor.Scalar %3005 : !torch.int -> !torch.vtensor<[],i1>
    %3008 = torch.prim.NumToTensor.Scalar %3006 : !torch.int -> !torch.vtensor<[],si64>
    %3009 = torch.prim.NumToTensor.Scalar %3003 : !torch.int -> !torch.vtensor<[],si64>
    %3010 = torch.aten.where.self %3007, %3008, %3009 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %3011 = torch.aten.item %3010 : !torch.vtensor<[],si64> -> !torch.int
    %int2_970 = torch.constant.int 2
    %3012 = torch.aten.select.int %2991, %int0_965, %int2_970 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3013 = torch.aten.item %3012 : !torch.vtensor<[1],si64> -> !torch.int
    %3014 = torch.aten.eq.int %3013, %int0_965 : !torch.int, !torch.int -> !torch.bool
    %3015 = torch.aten.Int.bool %3014 : !torch.bool -> !torch.int
    %int2_971 = torch.constant.int 2
    %3016 = torch.aten.size.int %2966, %int2_971 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.int -> !torch.int
    %3017 = torch.prim.NumToTensor.Scalar %3015 : !torch.int -> !torch.vtensor<[],i1>
    %3018 = torch.prim.NumToTensor.Scalar %3016 : !torch.int -> !torch.vtensor<[],si64>
    %3019 = torch.prim.NumToTensor.Scalar %3013 : !torch.int -> !torch.vtensor<[],si64>
    %3020 = torch.aten.where.self %3017, %3018, %3019 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %3021 = torch.aten.item %3020 : !torch.vtensor<[],si64> -> !torch.int
    %3022 = torch.prim.ListConstruct %3001, %3011, %3021 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %3023 = torch.aten.reshape %2966, %3022 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[?,8,?],f32>
    %3024 = torch.vtensor.literal(dense<1.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %3025 = torch.vtensor.literal(dense<0.000000e+00> : tensor<8xf32>) : !torch.vtensor<[8],f32>
    %none_972 = torch.constant.none
    %true_973 = torch.constant.bool true
    %false_974 = torch.constant.bool false
    %float9.999990e-06_975 = torch.constant.float 9.9999997473787516E-6
    %float0.000000e00_976 = torch.constant.float 0.000000e+00
    %3026 = torch.aten.instance_norm %3023, %3024, %3025, %none_972, %none_972, %true_973, %float0.000000e00_976, %float9.999990e-06_975, %false_974 : !torch.vtensor<[?,8,?],f32>, !torch.vtensor<[8],f32>, !torch.vtensor<[8],f32>, !torch.none, !torch.none, !torch.bool, !torch.float, !torch.float, !torch.bool -> !torch.vtensor<[?,8,?],f32>
    %3027 = torch.aten._shape_as_tensor %2966 : !torch.vtensor<[?,32,?,?,?],f32> -> !torch.vtensor<[5],si64>
    %int0_977 = torch.constant.int 0
    %int0_978 = torch.constant.int 0
    %3028 = torch.aten.select.int %3027, %int0_977, %int0_978 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3029 = torch.aten.item %3028 : !torch.vtensor<[1],si64> -> !torch.int
    %3030 = torch.aten.eq.int %3029, %int0_977 : !torch.int, !torch.int -> !torch.bool
    %3031 = torch.aten.Int.bool %3030 : !torch.bool -> !torch.int
    %int0_979 = torch.constant.int 0
    %3032 = torch.aten.size.int %3026, %int0_979 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %3033 = torch.prim.NumToTensor.Scalar %3031 : !torch.int -> !torch.vtensor<[],i1>
    %3034 = torch.prim.NumToTensor.Scalar %3032 : !torch.int -> !torch.vtensor<[],si64>
    %3035 = torch.prim.NumToTensor.Scalar %3029 : !torch.int -> !torch.vtensor<[],si64>
    %3036 = torch.aten.where.self %3033, %3034, %3035 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %3037 = torch.aten.item %3036 : !torch.vtensor<[],si64> -> !torch.int
    %int1_980 = torch.constant.int 1
    %3038 = torch.aten.select.int %3027, %int0_977, %int1_980 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3039 = torch.aten.item %3038 : !torch.vtensor<[1],si64> -> !torch.int
    %3040 = torch.aten.eq.int %3039, %int0_977 : !torch.int, !torch.int -> !torch.bool
    %3041 = torch.aten.Int.bool %3040 : !torch.bool -> !torch.int
    %int1_981 = torch.constant.int 1
    %3042 = torch.aten.size.int %3026, %int1_981 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %3043 = torch.prim.NumToTensor.Scalar %3041 : !torch.int -> !torch.vtensor<[],i1>
    %3044 = torch.prim.NumToTensor.Scalar %3042 : !torch.int -> !torch.vtensor<[],si64>
    %3045 = torch.prim.NumToTensor.Scalar %3039 : !torch.int -> !torch.vtensor<[],si64>
    %3046 = torch.aten.where.self %3043, %3044, %3045 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %3047 = torch.aten.item %3046 : !torch.vtensor<[],si64> -> !torch.int
    %int2_982 = torch.constant.int 2
    %3048 = torch.aten.select.int %3027, %int0_977, %int2_982 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3049 = torch.aten.item %3048 : !torch.vtensor<[1],si64> -> !torch.int
    %3050 = torch.aten.eq.int %3049, %int0_977 : !torch.int, !torch.int -> !torch.bool
    %3051 = torch.aten.Int.bool %3050 : !torch.bool -> !torch.int
    %int2_983 = torch.constant.int 2
    %3052 = torch.aten.size.int %3026, %int2_983 : !torch.vtensor<[?,8,?],f32>, !torch.int -> !torch.int
    %3053 = torch.prim.NumToTensor.Scalar %3051 : !torch.int -> !torch.vtensor<[],i1>
    %3054 = torch.prim.NumToTensor.Scalar %3052 : !torch.int -> !torch.vtensor<[],si64>
    %3055 = torch.prim.NumToTensor.Scalar %3049 : !torch.int -> !torch.vtensor<[],si64>
    %3056 = torch.aten.where.self %3053, %3054, %3055 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %3057 = torch.aten.item %3056 : !torch.vtensor<[],si64> -> !torch.int
    %int3_984 = torch.constant.int 3
    %3058 = torch.aten.select.int %3027, %int0_977, %int3_984 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3059 = torch.aten.item %3058 : !torch.vtensor<[1],si64> -> !torch.int
    %3060 = torch.aten.eq.int %3059, %int0_977 : !torch.int, !torch.int -> !torch.bool
    %3061 = torch.aten.Int.bool %3060 : !torch.bool -> !torch.int
    %int4_985 = torch.constant.int 4
    %3062 = torch.aten.select.int %3027, %int0_977, %int4_985 : !torch.vtensor<[5],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3063 = torch.aten.item %3062 : !torch.vtensor<[1],si64> -> !torch.int
    %3064 = torch.aten.eq.int %3063, %int0_977 : !torch.int, !torch.int -> !torch.bool
    %3065 = torch.aten.Int.bool %3064 : !torch.bool -> !torch.int
    %3066 = torch.prim.ListConstruct %3037, %3047, %3057, %3059, %3063 : (!torch.int, !torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %3067 = torch.aten.reshape %3026, %3066 : !torch.vtensor<[?,8,?],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?,?,?],f32>
    %3068 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_986 = torch.constant.int 0
    %int1_987 = torch.constant.int 1
    %int0_988 = torch.constant.int 0
    %3069 = torch.aten.select.int %3068, %int0_986, %int0_988 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3070 = torch.aten.item %3069 : !torch.vtensor<[1],si64> -> !torch.int
    %3071 = torch.aten.lt.int %3070, %int0_986 : !torch.int, !torch.int -> !torch.bool
    %3072 = torch.aten.Int.bool %3071 : !torch.bool -> !torch.int
    %3073 = torch.aten.mul.int %3072, %int1_987 : !torch.int, !torch.int -> !torch.int
    %3074 = torch.aten.add.int %3070, %3073 : !torch.int, !torch.int -> !torch.int
    %int1_989 = torch.constant.int 1
    %3075 = torch.aten.select.int %3068, %int0_986, %int1_989 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3076 = torch.aten.item %3075 : !torch.vtensor<[1],si64> -> !torch.int
    %3077 = torch.aten.lt.int %3076, %int0_986 : !torch.int, !torch.int -> !torch.bool
    %3078 = torch.aten.Int.bool %3077 : !torch.bool -> !torch.int
    %3079 = torch.aten.mul.int %3078, %int1_987 : !torch.int, !torch.int -> !torch.int
    %3080 = torch.aten.add.int %3076, %3079 : !torch.int, !torch.int -> !torch.int
    %int2_990 = torch.constant.int 2
    %3081 = torch.aten.select.int %3068, %int0_986, %int2_990 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3082 = torch.aten.item %3081 : !torch.vtensor<[1],si64> -> !torch.int
    %3083 = torch.aten.lt.int %3082, %int0_986 : !torch.int, !torch.int -> !torch.bool
    %3084 = torch.aten.Int.bool %3083 : !torch.bool -> !torch.int
    %3085 = torch.aten.mul.int %3084, %int1_987 : !torch.int, !torch.int -> !torch.int
    %3086 = torch.aten.add.int %3082, %3085 : !torch.int, !torch.int -> !torch.int
    %3087 = torch.prim.ListConstruct %3074, %3080, %3086 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_991 = torch.constant.bool false
    %none_992 = torch.constant.none
    %3088 = torch.aten.tensor %3087, %none_992, %none_992, %false_991 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_993, %indices_994 = torch.aten.sort %3088, %int0_986, %false_991 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_995 = torch.constant.int 0
    %3089 = torch.aten.select.int %values_993, %int0_986, %int0_995 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3090 = torch.aten.item %3089 : !torch.vtensor<[1],si64> -> !torch.int
    %3091 = torch.aten.unsqueeze %2978, %3090 : !torch.vtensor<[32],f32>, !torch.int -> !torch.vtensor
    %int1_996 = torch.constant.int 1
    %3092 = torch.aten.select.int %values_993, %int0_986, %int1_996 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3093 = torch.aten.item %3092 : !torch.vtensor<[1],si64> -> !torch.int
    %3094 = torch.aten.unsqueeze %3091, %3093 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_997 = torch.constant.int 2
    %3095 = torch.aten.select.int %values_993, %int0_986, %int2_997 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3096 = torch.aten.item %3095 : !torch.vtensor<[1],si64> -> !torch.int
    %3097 = torch.aten.unsqueeze %3094, %3096 : !torch.vtensor, !torch.int -> !torch.vtensor<[32,1,1,1],f32>
    %3098 = torch.aten.mul.Tensor %3067, %3097 : !torch.vtensor<[?,?,?,?,?],f32>, !torch.vtensor<[32,1,1,1],f32> -> !torch.vtensor<[?,32,?,?,?],f32>
    %3099 = torch.vtensor.literal(dense<[1, 2, 3]> : tensor<3xsi64>) : !torch.vtensor<[3],si64>
    %int0_998 = torch.constant.int 0
    %int1_999 = torch.constant.int 1
    %int0_1000 = torch.constant.int 0
    %3100 = torch.aten.select.int %3099, %int0_998, %int0_1000 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3101 = torch.aten.item %3100 : !torch.vtensor<[1],si64> -> !torch.int
    %3102 = torch.aten.lt.int %3101, %int0_998 : !torch.int, !torch.int -> !torch.bool
    %3103 = torch.aten.Int.bool %3102 : !torch.bool -> !torch.int
    %3104 = torch.aten.mul.int %3103, %int1_999 : !torch.int, !torch.int -> !torch.int
    %3105 = torch.aten.add.int %3101, %3104 : !torch.int, !torch.int -> !torch.int
    %int1_1001 = torch.constant.int 1
    %3106 = torch.aten.select.int %3099, %int0_998, %int1_1001 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3107 = torch.aten.item %3106 : !torch.vtensor<[1],si64> -> !torch.int
    %3108 = torch.aten.lt.int %3107, %int0_998 : !torch.int, !torch.int -> !torch.bool
    %3109 = torch.aten.Int.bool %3108 : !torch.bool -> !torch.int
    %3110 = torch.aten.mul.int %3109, %int1_999 : !torch.int, !torch.int -> !torch.int
    %3111 = torch.aten.add.int %3107, %3110 : !torch.int, !torch.int -> !torch.int
    %int2_1002 = torch.constant.int 2
    %3112 = torch.aten.select.int %3099, %int0_998, %int2_1002 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3113 = torch.aten.item %3112 : !torch.vtensor<[1],si64> -> !torch.int
    %3114 = torch.aten.lt.int %3113, %int0_998 : !torch.int, !torch.int -> !torch.bool
    %3115 = torch.aten.Int.bool %3114 : !torch.bool -> !torch.int
    %3116 = torch.aten.mul.int %3115, %int1_999 : !torch.int, !torch.int -> !torch.int
    %3117 = torch.aten.add.int %3113, %3116 : !torch.int, !torch.int -> !torch.int
    %3118 = torch.prim.ListConstruct %3105, %3111, %3117 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %false_1003 = torch.constant.bool false
    %none_1004 = torch.constant.none
    %3119 = torch.aten.tensor %3118, %none_1004, %none_1004, %false_1003 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[3],si64>
    %values_1005, %indices_1006 = torch.aten.sort %3119, %int0_998, %false_1003 : !torch.vtensor<[3],si64>, !torch.int, !torch.bool -> !torch.vtensor<[3],si64>, !torch.vtensor<[3],si64>
    %int0_1007 = torch.constant.int 0
    %3120 = torch.aten.select.int %values_1005, %int0_998, %int0_1007 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3121 = torch.aten.item %3120 : !torch.vtensor<[1],si64> -> !torch.int
    %3122 = torch.aten.unsqueeze %2990, %3121 : !torch.vtensor<[32],f32>, !torch.int -> !torch.vtensor
    %int1_1008 = torch.constant.int 1
    %3123 = torch.aten.select.int %values_1005, %int0_998, %int1_1008 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3124 = torch.aten.item %3123 : !torch.vtensor<[1],si64> -> !torch.int
    %3125 = torch.aten.unsqueeze %3122, %3124 : !torch.vtensor, !torch.int -> !torch.vtensor
    %int2_1009 = torch.constant.int 2
    %3126 = torch.aten.select.int %values_1005, %int0_998, %int2_1009 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3127 = torch.aten.item %3126 : !torch.vtensor<[1],si64> -> !torch.int
    %3128 = torch.aten.unsqueeze %3125, %3127 : !torch.vtensor, !torch.int -> !torch.vtensor<[32,1,1,1],f32>
    %int1_1010 = torch.constant.int 1
    %3129 = torch.aten.add.Tensor %3098, %3128, %int1_1010 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.vtensor<[32,1,1,1],f32>, !torch.int -> !torch.vtensor<[?,32,?,?,?],f32>
    %3130 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3131 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1011 = torch.constant.int 12
    %3132 = torch.aten.item %3130 : !torch.vtensor<[],f32> -> !torch.float
    %3133 = torch.aten.item %3131 : !torch.vtensor<[],si8> -> !torch.int
    %3134 = torch.aten.quantize_per_tensor %3129, %3132, %3133, %int12_1011 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,32,?,?,?],!torch.qint8>
    %3135 = torch.aten.int_repr %3134 : !torch.vtensor<[?,32,?,?,?],!torch.qint8> -> !torch.vtensor<[?,32,?,?,?],si8>
    %3136 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3137 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3138 = torch.aten.item %3136 : !torch.vtensor<[],f32> -> !torch.float
    %3139 = torch.aten.item %3137 : !torch.vtensor<[],si8> -> !torch.int
    %3140 = torch.aten._make_per_tensor_quantized_tensor %3135, %3138, %3139 : !torch.vtensor<[?,32,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,32,?,?,?],!torch.qint8>
    %3141 = torch.aten.dequantize.self %3140 : !torch.vtensor<[?,32,?,?,?],!torch.qint8> -> !torch.vtensor<[?,32,?,?,?],f32>
    %3142 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %3143 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1012 = torch.constant.int 12
    %3144 = torch.aten.item %3142 : !torch.vtensor<[],f32> -> !torch.float
    %3145 = torch.aten.item %3143 : !torch.vtensor<[],si8> -> !torch.int
    %3146 = torch.aten.quantize_per_tensor %41, %3144, %3145, %int12_1012 : !torch.vtensor<[32,32,3,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,32,3,3,3],!torch.qint8>
    %3147 = torch.aten.int_repr %3146 : !torch.vtensor<[32,32,3,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3,3],si8>
    %3148 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %3149 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3150 = torch.aten.item %3148 : !torch.vtensor<[],f32> -> !torch.float
    %3151 = torch.aten.item %3149 : !torch.vtensor<[],si8> -> !torch.int
    %3152 = torch.aten._make_per_tensor_quantized_tensor %3147, %3150, %3151 : !torch.vtensor<[32,32,3,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,32,3,3,3],!torch.qint8>
    %3153 = torch.aten.dequantize.self %3152 : !torch.vtensor<[32,32,3,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3,3],f32>
    %int1_1013 = torch.constant.int 1
    %int1_1014 = torch.constant.int 1
    %int1_1015 = torch.constant.int 1
    %int1_1016 = torch.constant.int 1
    %int1_1017 = torch.constant.int 1
    %int1_1018 = torch.constant.int 1
    %int1_1019 = torch.constant.int 1
    %int1_1020 = torch.constant.int 1
    %int1_1021 = torch.constant.int 1
    %int0_1022 = torch.constant.int 0
    %3154 = torch.prim.ListConstruct %int1_1013, %int1_1014, %int1_1015 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %3155 = torch.prim.ListConstruct %int1_1016, %int1_1017, %int1_1018 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %3156 = torch.prim.ListConstruct %int1_1019, %int1_1020, %int1_1021 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %3157 = torch.prim.ListConstruct %int0_1022, %int0_1022 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_1023 = torch.constant.bool false
    %none_1024 = torch.constant.none
    %int1_1025 = torch.constant.int 1
    %3158 = torch.aten.convolution %3141, %3153, %none_1024, %3156, %3154, %3155, %false_1023, %3157, %int1_1025 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.vtensor<[32,32,3,3,3],f32>, !torch.none, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[?,32,?,?,?],f32>
    %3159 = torch.aten.relu %3158 : !torch.vtensor<[?,32,?,?,?],f32> -> !torch.vtensor<[?,32,?,?,?],f32>
    %3160 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3161 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1026 = torch.constant.int 12
    %3162 = torch.aten.item %3160 : !torch.vtensor<[],f32> -> !torch.float
    %3163 = torch.aten.item %3161 : !torch.vtensor<[],si8> -> !torch.int
    %3164 = torch.aten.quantize_per_tensor %3159, %3162, %3163, %int12_1026 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,32,?,?,?],!torch.qint8>
    %3165 = torch.aten.int_repr %3164 : !torch.vtensor<[?,32,?,?,?],!torch.qint8> -> !torch.vtensor<[?,32,?,?,?],si8>
    %3166 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3167 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3168 = torch.aten.item %3166 : !torch.vtensor<[],f32> -> !torch.float
    %3169 = torch.aten.item %3167 : !torch.vtensor<[],si8> -> !torch.int
    %3170 = torch.aten._make_per_tensor_quantized_tensor %3165, %3168, %3169 : !torch.vtensor<[?,32,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,32,?,?,?],!torch.qint8>
    %3171 = torch.aten.dequantize.self %3170 : !torch.vtensor<[?,32,?,?,?],!torch.qint8> -> !torch.vtensor<[?,32,?,?,?],f32>
    %3172 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %3173 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1027 = torch.constant.int 12
    %3174 = torch.aten.item %3172 : !torch.vtensor<[],f32> -> !torch.float
    %3175 = torch.aten.item %3173 : !torch.vtensor<[],si8> -> !torch.int
    %3176 = torch.aten.quantize_per_tensor %42, %3174, %3175, %int12_1027 : !torch.vtensor<[1,32,1,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,1,1,1],!torch.qint8>
    %3177 = torch.aten.int_repr %3176 : !torch.vtensor<[1,32,1,1,1],!torch.qint8> -> !torch.vtensor<[1,32,1,1,1],si8>
    %3178 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %3179 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3180 = torch.aten.item %3178 : !torch.vtensor<[],f32> -> !torch.float
    %3181 = torch.aten.item %3179 : !torch.vtensor<[],si8> -> !torch.int
    %3182 = torch.aten._make_per_tensor_quantized_tensor %3177, %3180, %3181 : !torch.vtensor<[1,32,1,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,1,1,1],!torch.qint8>
    %3183 = torch.aten.dequantize.self %3182 : !torch.vtensor<[1,32,1,1,1],!torch.qint8> -> !torch.vtensor<[1,32,1,1,1],f32>
    %3184 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %3185 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1028 = torch.constant.int 12
    %3186 = torch.aten.item %3184 : !torch.vtensor<[],f32> -> !torch.float
    %3187 = torch.aten.item %3185 : !torch.vtensor<[],si8> -> !torch.int
    %3188 = torch.aten.quantize_per_tensor %43, %3186, %3187, %int12_1028 : !torch.vtensor<[1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1],!torch.qint8>
    %3189 = torch.aten.int_repr %3188 : !torch.vtensor<[1],!torch.qint8> -> !torch.vtensor<[1],si8>
    %3190 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %3191 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3192 = torch.aten.item %3190 : !torch.vtensor<[],f32> -> !torch.float
    %3193 = torch.aten.item %3191 : !torch.vtensor<[],si8> -> !torch.int
    %3194 = torch.aten._make_per_tensor_quantized_tensor %3189, %3192, %3193 : !torch.vtensor<[1],si8>, !torch.float, !torch.int -> !torch.vtensor<[1],!torch.qint8>
    %3195 = torch.aten.dequantize.self %3194 : !torch.vtensor<[1],!torch.qint8> -> !torch.vtensor<[1],f32>
    %int0_1029 = torch.constant.int 0
    %int0_1030 = torch.constant.int 0
    %int0_1031 = torch.constant.int 0
    %int1_1032 = torch.constant.int 1
    %int1_1033 = torch.constant.int 1
    %int1_1034 = torch.constant.int 1
    %int1_1035 = torch.constant.int 1
    %int1_1036 = torch.constant.int 1
    %int1_1037 = torch.constant.int 1
    %int0_1038 = torch.constant.int 0
    %3196 = torch.prim.ListConstruct %int0_1029, %int0_1030, %int0_1031 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %3197 = torch.prim.ListConstruct %int1_1032, %int1_1033, %int1_1034 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %3198 = torch.prim.ListConstruct %int1_1035, %int1_1036, %int1_1037 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %3199 = torch.prim.ListConstruct %int0_1038, %int0_1038 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_1039 = torch.constant.bool false
    %int1_1040 = torch.constant.int 1
    %3200 = torch.aten.convolution %3171, %3183, %3195, %3198, %3196, %3197, %false_1039, %3199, %int1_1040 : !torch.vtensor<[?,32,?,?,?],f32>, !torch.vtensor<[1,32,1,1,1],f32>, !torch.vtensor<[1],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[?,1,?,?,?],f32>
    %3201 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3202 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1041 = torch.constant.int 12
    %3203 = torch.aten.item %3201 : !torch.vtensor<[],f32> -> !torch.float
    %3204 = torch.aten.item %3202 : !torch.vtensor<[],si8> -> !torch.int
    %3205 = torch.aten.quantize_per_tensor %3200, %3203, %3204, %int12_1041 : !torch.vtensor<[?,1,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,1,?,?,?],!torch.qint8>
    %3206 = torch.aten.int_repr %3205 : !torch.vtensor<[?,1,?,?,?],!torch.qint8> -> !torch.vtensor<[?,1,?,?,?],si8>
    %3207 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3208 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3209 = torch.aten.item %3207 : !torch.vtensor<[],f32> -> !torch.float
    %3210 = torch.aten.item %3208 : !torch.vtensor<[],si8> -> !torch.int
    %3211 = torch.aten._make_per_tensor_quantized_tensor %3206, %3209, %3210 : !torch.vtensor<[?,1,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,1,?,?,?],!torch.qint8>
    %3212 = torch.aten.dequantize.self %3211 : !torch.vtensor<[?,1,?,?,?],!torch.qint8> -> !torch.vtensor<[?,1,?,?,?],f32>
    %3213 = torch.aten.sigmoid %3212 : !torch.vtensor<[?,1,?,?,?],f32> -> !torch.vtensor<[1,1,64,128,128],f32>
    return %3213 : !torch.vtensor<[1,1,64,128,128],f32>
  }
}