yolov8n_vaiq_int8.default.onnx.torch.elide.mlir

module {
  func.func @torch_jit(%arg0: !torch.vtensor<[1,3,640,640],f32>) -> (!torch.vtensor<[1,84,8400],f32>, !torch.vtensor<[1,144,80,80],f32>, !torch.vtensor<[1,144,40,40],f32>, !torch.vtensor<[1,144,20,20],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_resource<__elided__> : tensor<16x3x3x3xf32>) : !torch.vtensor<[16,3,3,3],f32>
    %1 = torch.vtensor.literal(dense_resource<__elided__> : tensor<16xf32>) : !torch.vtensor<[16],f32>
    %2 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x16x3x3xf32>) : !torch.vtensor<[32,16,3,3],f32>
    %3 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
    %4 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x32x1x1xf32>) : !torch.vtensor<[32,32,1,1],f32>
    %5 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
    %6 = torch.vtensor.literal(dense_resource<__elided__> : tensor<16x16x3x3xf32>) : !torch.vtensor<[16,16,3,3],f32>
    %7 = torch.vtensor.literal(dense_resource<__elided__> : tensor<16xf32>) : !torch.vtensor<[16],f32>
    %8 = torch.vtensor.literal(dense_resource<__elided__> : tensor<16x16x3x3xf32>) : !torch.vtensor<[16,16,3,3],f32>
    %9 = torch.vtensor.literal(dense_resource<__elided__> : tensor<16xf32>) : !torch.vtensor<[16],f32>
    %10 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x48x1x1xf32>) : !torch.vtensor<[32,48,1,1],f32>
    %11 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
    %12 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x32x3x3xf32>) : !torch.vtensor<[64,32,3,3],f32>
    %13 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %14 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x1x1xf32>) : !torch.vtensor<[64,64,1,1],f32>
    %15 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %16 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x32x3x3xf32>) : !torch.vtensor<[32,32,3,3],f32>
    %17 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
    %18 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x32x3x3xf32>) : !torch.vtensor<[32,32,3,3],f32>
    %19 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
    %20 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x32x3x3xf32>) : !torch.vtensor<[32,32,3,3],f32>
    %21 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
    %22 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x32x3x3xf32>) : !torch.vtensor<[32,32,3,3],f32>
    %23 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
    %24 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x128x1x1xf32>) : !torch.vtensor<[64,128,1,1],f32>
    %25 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %26 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x64x3x3xf32>) : !torch.vtensor<[128,64,3,3],f32>
    %27 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %28 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x128x1x1xf32>) : !torch.vtensor<[128,128,1,1],f32>
    %29 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %30 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32>
    %31 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %32 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32>
    %33 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %34 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32>
    %35 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %36 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32>
    %37 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %38 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x256x1x1xf32>) : !torch.vtensor<[128,256,1,1],f32>
    %39 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %40 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x128x3x3xf32>) : !torch.vtensor<[256,128,3,3],f32>
    %41 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
    %42 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x256x1x1xf32>) : !torch.vtensor<[256,256,1,1],f32>
    %43 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
    %44 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x128x3x3xf32>) : !torch.vtensor<[128,128,3,3],f32>
    %45 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %46 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x128x3x3xf32>) : !torch.vtensor<[128,128,3,3],f32>
    %47 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %48 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x384x1x1xf32>) : !torch.vtensor<[256,384,1,1],f32>
    %49 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
    %50 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x256x1x1xf32>) : !torch.vtensor<[128,256,1,1],f32>
    %51 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %52 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x512x1x1xf32>) : !torch.vtensor<[256,512,1,1],f32>
    %53 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
    %54 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x384x1x1xf32>) : !torch.vtensor<[128,384,1,1],f32>
    %55 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %56 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32>
    %57 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %58 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32>
    %59 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %60 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x192x1x1xf32>) : !torch.vtensor<[128,192,1,1],f32>
    %61 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %62 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x192x1x1xf32>) : !torch.vtensor<[64,192,1,1],f32>
    %63 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %64 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x32x3x3xf32>) : !torch.vtensor<[32,32,3,3],f32>
    %65 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
    %66 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x32x3x3xf32>) : !torch.vtensor<[32,32,3,3],f32>
    %67 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
    %68 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x96x1x1xf32>) : !torch.vtensor<[64,96,1,1],f32>
    %69 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %70 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32>
    %71 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %72 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x192x1x1xf32>) : !torch.vtensor<[128,192,1,1],f32>
    %73 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %74 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32>
    %75 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %76 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32>
    %77 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %78 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x192x1x1xf32>) : !torch.vtensor<[128,192,1,1],f32>
    %79 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %80 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x128x3x3xf32>) : !torch.vtensor<[128,128,3,3],f32>
    %81 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %82 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x384x1x1xf32>) : !torch.vtensor<[256,384,1,1],f32>
    %83 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
    %84 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x128x3x3xf32>) : !torch.vtensor<[128,128,3,3],f32>
    %85 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %86 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x128x3x3xf32>) : !torch.vtensor<[128,128,3,3],f32>
    %87 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
    %88 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x384x1x1xf32>) : !torch.vtensor<[256,384,1,1],f32>
    %89 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
    %90 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32>
    %91 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %92 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32>
    %93 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %94 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x1x1xf32>) : !torch.vtensor<[64,64,1,1],f32>
    %95 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %96 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80x64x3x3xf32>) : !torch.vtensor<[80,64,3,3],f32>
    %97 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80xf32>) : !torch.vtensor<[80],f32>
    %98 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80x80x3x3xf32>) : !torch.vtensor<[80,80,3,3],f32>
    %99 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80xf32>) : !torch.vtensor<[80],f32>
    %100 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80x80x1x1xf32>) : !torch.vtensor<[80,80,1,1],f32>
    %101 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80xf32>) : !torch.vtensor<[80],f32>
    %102 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x128x3x3xf32>) : !torch.vtensor<[64,128,3,3],f32>
    %103 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %104 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32>
    %105 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %106 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x1x1xf32>) : !torch.vtensor<[64,64,1,1],f32>
    %107 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %108 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80x128x3x3xf32>) : !torch.vtensor<[80,128,3,3],f32>
    %109 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80xf32>) : !torch.vtensor<[80],f32>
    %110 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80x80x3x3xf32>) : !torch.vtensor<[80,80,3,3],f32>
    %111 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80xf32>) : !torch.vtensor<[80],f32>
    %112 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80x80x1x1xf32>) : !torch.vtensor<[80,80,1,1],f32>
    %113 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80xf32>) : !torch.vtensor<[80],f32>
    %114 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x256x3x3xf32>) : !torch.vtensor<[64,256,3,3],f32>
    %115 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %116 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x3x3xf32>) : !torch.vtensor<[64,64,3,3],f32>
    %117 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %118 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x1x1xf32>) : !torch.vtensor<[64,64,1,1],f32>
    %119 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
    %120 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80x256x3x3xf32>) : !torch.vtensor<[80,256,3,3],f32>
    %121 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80xf32>) : !torch.vtensor<[80],f32>
    %122 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80x80x3x3xf32>) : !torch.vtensor<[80,80,3,3],f32>
    %123 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80xf32>) : !torch.vtensor<[80],f32>
    %124 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80x80x1x1xf32>) : !torch.vtensor<[80,80,1,1],f32>
    %125 = torch.vtensor.literal(dense_resource<__elided__> : tensor<80xf32>) : !torch.vtensor<[80],f32>
    %126 = torch.vtensor.literal(dense_resource<__elided__> : tensor<1x16x1x1xf32>) : !torch.vtensor<[1,16,1,1],f32>
    %none = torch.constant.none
    %127 = torch.vtensor.literal(dense<2.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %128 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %129 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12 = torch.constant.int 12
    %130 = torch.aten.item %128 : !torch.vtensor<[],f32> -> !torch.float
    %131 = torch.aten.item %129 : !torch.vtensor<[],si8> -> !torch.int
    %132 = torch.aten.quantize_per_tensor %127, %130, %131, %int12 : !torch.vtensor<[],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[],!torch.qint8>
    %133 = torch.aten.int_repr %132 : !torch.vtensor<[],!torch.qint8> -> !torch.vtensor<[],si8>
    %134 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %135 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %136 = torch.aten.item %134 : !torch.vtensor<[],f32> -> !torch.float
    %137 = torch.aten.item %135 : !torch.vtensor<[],si8> -> !torch.int
    %138 = torch.aten._make_per_tensor_quantized_tensor %133, %136, %137 : !torch.vtensor<[],si8>, !torch.float, !torch.int -> !torch.vtensor<[],!torch.qint8>
    %139 = torch.aten.dequantize.self %138 : !torch.vtensor<[],!torch.qint8> -> !torch.vtensor<[],f32>
    %140 = torch.vtensor.literal(dense_resource<__elided__> : tensor<1x2x8400xf32>) : !torch.vtensor<[1,2,8400],f32>
    %141 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %142 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_0 = torch.constant.int 12
    %143 = torch.aten.item %141 : !torch.vtensor<[],f32> -> !torch.float
    %144 = torch.aten.item %142 : !torch.vtensor<[],si8> -> !torch.int
    %145 = torch.aten.quantize_per_tensor %140, %143, %144, %int12_0 : !torch.vtensor<[1,2,8400],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,2,8400],!torch.qint8>
    %146 = torch.aten.int_repr %145 : !torch.vtensor<[1,2,8400],!torch.qint8> -> !torch.vtensor<[1,2,8400],si8>
    %147 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %148 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %149 = torch.aten.item %147 : !torch.vtensor<[],f32> -> !torch.float
    %150 = torch.aten.item %148 : !torch.vtensor<[],si8> -> !torch.int
    %151 = torch.aten._make_per_tensor_quantized_tensor %146, %149, %150 : !torch.vtensor<[1,2,8400],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,2,8400],!torch.qint8>
    %152 = torch.aten.dequantize.self %151 : !torch.vtensor<[1,2,8400],!torch.qint8> -> !torch.vtensor<[1,2,8400],f32>
    %153 = torch.vtensor.literal(dense_resource<__elided__> : tensor<1x8400xf32>) : !torch.vtensor<[1,8400],f32>
    %154 = torch.vtensor.literal(dense<5.000000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %155 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1 = torch.constant.int 12
    %156 = torch.aten.item %154 : !torch.vtensor<[],f32> -> !torch.float
    %157 = torch.aten.item %155 : !torch.vtensor<[],si8> -> !torch.int
    %158 = torch.aten.quantize_per_tensor %153, %156, %157, %int12_1 : !torch.vtensor<[1,8400],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,8400],!torch.qint8>
    %159 = torch.aten.int_repr %158 : !torch.vtensor<[1,8400],!torch.qint8> -> !torch.vtensor<[1,8400],si8>
    %160 = torch.vtensor.literal(dense<5.000000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %161 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %162 = torch.aten.item %160 : !torch.vtensor<[],f32> -> !torch.float
    %163 = torch.aten.item %161 : !torch.vtensor<[],si8> -> !torch.int
    %164 = torch.aten._make_per_tensor_quantized_tensor %159, %162, %163 : !torch.vtensor<[1,8400],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,8400],!torch.qint8>
    %165 = torch.aten.dequantize.self %164 : !torch.vtensor<[1,8400],!torch.qint8> -> !torch.vtensor<[1,8400],f32>
    %166 = torch.vtensor.literal(dense<2.44140625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %167 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_2 = torch.constant.int 12
    %168 = torch.aten.item %166 : !torch.vtensor<[],f32> -> !torch.float
    %169 = torch.aten.item %167 : !torch.vtensor<[],si8> -> !torch.int
    %170 = torch.aten.quantize_per_tensor %arg0, %168, %169, %int12_2 : !torch.vtensor<[1,3,640,640],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,3,640,640],!torch.qint8>
    %171 = torch.aten.int_repr %170 : !torch.vtensor<[1,3,640,640],!torch.qint8> -> !torch.vtensor<[1,3,640,640],si8>
    %172 = torch.vtensor.literal(dense<2.44140625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
    %173 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %174 = torch.aten.item %172 : !torch.vtensor<[],f32> -> !torch.float
    %175 = torch.aten.item %173 : !torch.vtensor<[],si8> -> !torch.int
    %176 = torch.aten._make_per_tensor_quantized_tensor %171, %174, %175 : !torch.vtensor<[1,3,640,640],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,3,640,640],!torch.qint8>
    %177 = torch.aten.dequantize.self %176 : !torch.vtensor<[1,3,640,640],!torch.qint8> -> !torch.vtensor<[1,3,640,640],f32>
    %178 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %179 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_3 = torch.constant.int 12
    %180 = torch.aten.item %178 : !torch.vtensor<[],f32> -> !torch.float
    %181 = torch.aten.item %179 : !torch.vtensor<[],si8> -> !torch.int
    %182 = torch.aten.quantize_per_tensor %0, %180, %181, %int12_3 : !torch.vtensor<[16,3,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[16,3,3,3],!torch.qint8>
    %183 = torch.aten.int_repr %182 : !torch.vtensor<[16,3,3,3],!torch.qint8> -> !torch.vtensor<[16,3,3,3],si8>
    %184 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %185 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %186 = torch.aten.item %184 : !torch.vtensor<[],f32> -> !torch.float
    %187 = torch.aten.item %185 : !torch.vtensor<[],si8> -> !torch.int
    %188 = torch.aten._make_per_tensor_quantized_tensor %183, %186, %187 : !torch.vtensor<[16,3,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[16,3,3,3],!torch.qint8>
    %189 = torch.aten.dequantize.self %188 : !torch.vtensor<[16,3,3,3],!torch.qint8> -> !torch.vtensor<[16,3,3,3],f32>
    %190 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %191 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_4 = torch.constant.int 12
    %192 = torch.aten.item %190 : !torch.vtensor<[],f32> -> !torch.float
    %193 = torch.aten.item %191 : !torch.vtensor<[],si8> -> !torch.int
    %194 = torch.aten.quantize_per_tensor %1, %192, %193, %int12_4 : !torch.vtensor<[16],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[16],!torch.qint8>
    %195 = torch.aten.int_repr %194 : !torch.vtensor<[16],!torch.qint8> -> !torch.vtensor<[16],si8>
    %196 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %197 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %198 = torch.aten.item %196 : !torch.vtensor<[],f32> -> !torch.float
    %199 = torch.aten.item %197 : !torch.vtensor<[],si8> -> !torch.int
    %200 = torch.aten._make_per_tensor_quantized_tensor %195, %198, %199 : !torch.vtensor<[16],si8>, !torch.float, !torch.int -> !torch.vtensor<[16],!torch.qint8>
    %201 = torch.aten.dequantize.self %200 : !torch.vtensor<[16],!torch.qint8> -> !torch.vtensor<[16],f32>
    %int1 = torch.constant.int 1
    %int1_5 = torch.constant.int 1
    %int1_6 = torch.constant.int 1
    %int1_7 = torch.constant.int 1
    %int2 = torch.constant.int 2
    %int2_8 = torch.constant.int 2
    %int0 = torch.constant.int 0
    %202 = torch.prim.ListConstruct %int1, %int1_5 : (!torch.int, !torch.int) -> !torch.list<int>
    %203 = torch.prim.ListConstruct %int1_6, %int1_7 : (!torch.int, !torch.int) -> !torch.list<int>
    %204 = torch.prim.ListConstruct %int2, %int2_8 : (!torch.int, !torch.int) -> !torch.list<int>
    %205 = torch.prim.ListConstruct %int0, %int0 : (!torch.int, !torch.int) -> !torch.list<int>
    %false = torch.constant.bool false
    %int1_9 = torch.constant.int 1
    %206 = torch.aten.convolution %177, %189, %201, %204, %202, %203, %false, %205, %int1_9 : !torch.vtensor<[1,3,640,640],f32>, !torch.vtensor<[16,3,3,3],f32>, !torch.vtensor<[16],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,16,320,320],f32>
    %207 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %208 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_10 = torch.constant.int 12
    %209 = torch.aten.item %207 : !torch.vtensor<[],f32> -> !torch.float
    %210 = torch.aten.item %208 : !torch.vtensor<[],si8> -> !torch.int
    %211 = torch.aten.quantize_per_tensor %206, %209, %210, %int12_10 : !torch.vtensor<[1,16,320,320],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,16,320,320],!torch.qint8>
    %212 = torch.aten.int_repr %211 : !torch.vtensor<[1,16,320,320],!torch.qint8> -> !torch.vtensor<[1,16,320,320],si8>
    %213 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %214 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %215 = torch.aten.item %213 : !torch.vtensor<[],f32> -> !torch.float
    %216 = torch.aten.item %214 : !torch.vtensor<[],si8> -> !torch.int
    %217 = torch.aten._make_per_tensor_quantized_tensor %212, %215, %216 : !torch.vtensor<[1,16,320,320],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,16,320,320],!torch.qint8>
    %218 = torch.aten.dequantize.self %217 : !torch.vtensor<[1,16,320,320],!torch.qint8> -> !torch.vtensor<[1,16,320,320],f32>
    %219 = torch.aten.sigmoid %218 : !torch.vtensor<[1,16,320,320],f32> -> !torch.vtensor<[1,16,320,320],f32>
    %220 = torch.aten.mul.Tensor %218, %219 : !torch.vtensor<[1,16,320,320],f32>, !torch.vtensor<[1,16,320,320],f32> -> !torch.vtensor<[1,16,320,320],f32>
    %221 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %222 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_11 = torch.constant.int 12
    %223 = torch.aten.item %221 : !torch.vtensor<[],f32> -> !torch.float
    %224 = torch.aten.item %222 : !torch.vtensor<[],si8> -> !torch.int
    %225 = torch.aten.quantize_per_tensor %220, %223, %224, %int12_11 : !torch.vtensor<[1,16,320,320],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,16,320,320],!torch.qint8>
    %226 = torch.aten.int_repr %225 : !torch.vtensor<[1,16,320,320],!torch.qint8> -> !torch.vtensor<[1,16,320,320],si8>
    %227 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %228 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %229 = torch.aten.item %227 : !torch.vtensor<[],f32> -> !torch.float
    %230 = torch.aten.item %228 : !torch.vtensor<[],si8> -> !torch.int
    %231 = torch.aten._make_per_tensor_quantized_tensor %226, %229, %230 : !torch.vtensor<[1,16,320,320],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,16,320,320],!torch.qint8>
    %232 = torch.aten.dequantize.self %231 : !torch.vtensor<[1,16,320,320],!torch.qint8> -> !torch.vtensor<[1,16,320,320],f32>
    %233 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %234 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_12 = torch.constant.int 12
    %235 = torch.aten.item %233 : !torch.vtensor<[],f32> -> !torch.float
    %236 = torch.aten.item %234 : !torch.vtensor<[],si8> -> !torch.int
    %237 = torch.aten.quantize_per_tensor %2, %235, %236, %int12_12 : !torch.vtensor<[32,16,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,16,3,3],!torch.qint8>
    %238 = torch.aten.int_repr %237 : !torch.vtensor<[32,16,3,3],!torch.qint8> -> !torch.vtensor<[32,16,3,3],si8>
    %239 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %240 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %241 = torch.aten.item %239 : !torch.vtensor<[],f32> -> !torch.float
    %242 = torch.aten.item %240 : !torch.vtensor<[],si8> -> !torch.int
    %243 = torch.aten._make_per_tensor_quantized_tensor %238, %241, %242 : !torch.vtensor<[32,16,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,16,3,3],!torch.qint8>
    %244 = torch.aten.dequantize.self %243 : !torch.vtensor<[32,16,3,3],!torch.qint8> -> !torch.vtensor<[32,16,3,3],f32>
    %245 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %246 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_13 = torch.constant.int 12
    %247 = torch.aten.item %245 : !torch.vtensor<[],f32> -> !torch.float
    %248 = torch.aten.item %246 : !torch.vtensor<[],si8> -> !torch.int
    %249 = torch.aten.quantize_per_tensor %3, %247, %248, %int12_13 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %250 = torch.aten.int_repr %249 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
    %251 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %252 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %253 = torch.aten.item %251 : !torch.vtensor<[],f32> -> !torch.float
    %254 = torch.aten.item %252 : !torch.vtensor<[],si8> -> !torch.int
    %255 = torch.aten._make_per_tensor_quantized_tensor %250, %253, %254 : !torch.vtensor<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %256 = torch.aten.dequantize.self %255 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
    %int1_14 = torch.constant.int 1
    %int1_15 = torch.constant.int 1
    %int1_16 = torch.constant.int 1
    %int1_17 = torch.constant.int 1
    %int2_18 = torch.constant.int 2
    %int2_19 = torch.constant.int 2
    %int0_20 = torch.constant.int 0
    %257 = torch.prim.ListConstruct %int1_14, %int1_15 : (!torch.int, !torch.int) -> !torch.list<int>
    %258 = torch.prim.ListConstruct %int1_16, %int1_17 : (!torch.int, !torch.int) -> !torch.list<int>
    %259 = torch.prim.ListConstruct %int2_18, %int2_19 : (!torch.int, !torch.int) -> !torch.list<int>
    %260 = torch.prim.ListConstruct %int0_20, %int0_20 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_21 = torch.constant.bool false
    %int1_22 = torch.constant.int 1
    %261 = torch.aten.convolution %232, %244, %256, %259, %257, %258, %false_21, %260, %int1_22 : !torch.vtensor<[1,16,320,320],f32>, !torch.vtensor<[32,16,3,3],f32>, !torch.vtensor<[32],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,32,160,160],f32>
    %262 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %263 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_23 = torch.constant.int 12
    %264 = torch.aten.item %262 : !torch.vtensor<[],f32> -> !torch.float
    %265 = torch.aten.item %263 : !torch.vtensor<[],si8> -> !torch.int
    %266 = torch.aten.quantize_per_tensor %261, %264, %265, %int12_23 : !torch.vtensor<[1,32,160,160],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,160,160],!torch.qint8>
    %267 = torch.aten.int_repr %266 : !torch.vtensor<[1,32,160,160],!torch.qint8> -> !torch.vtensor<[1,32,160,160],si8>
    %268 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %269 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %270 = torch.aten.item %268 : !torch.vtensor<[],f32> -> !torch.float
    %271 = torch.aten.item %269 : !torch.vtensor<[],si8> -> !torch.int
    %272 = torch.aten._make_per_tensor_quantized_tensor %267, %270, %271 : !torch.vtensor<[1,32,160,160],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,160,160],!torch.qint8>
    %273 = torch.aten.dequantize.self %272 : !torch.vtensor<[1,32,160,160],!torch.qint8> -> !torch.vtensor<[1,32,160,160],f32>
    %274 = torch.aten.sigmoid %273 : !torch.vtensor<[1,32,160,160],f32> -> !torch.vtensor<[1,32,160,160],f32>
    %275 = torch.aten.mul.Tensor %273, %274 : !torch.vtensor<[1,32,160,160],f32>, !torch.vtensor<[1,32,160,160],f32> -> !torch.vtensor<[1,32,160,160],f32>
    %276 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %277 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_24 = torch.constant.int 12
    %278 = torch.aten.item %276 : !torch.vtensor<[],f32> -> !torch.float
    %279 = torch.aten.item %277 : !torch.vtensor<[],si8> -> !torch.int
    %280 = torch.aten.quantize_per_tensor %275, %278, %279, %int12_24 : !torch.vtensor<[1,32,160,160],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,160,160],!torch.qint8>
    %281 = torch.aten.int_repr %280 : !torch.vtensor<[1,32,160,160],!torch.qint8> -> !torch.vtensor<[1,32,160,160],si8>
    %282 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %283 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %284 = torch.aten.item %282 : !torch.vtensor<[],f32> -> !torch.float
    %285 = torch.aten.item %283 : !torch.vtensor<[],si8> -> !torch.int
    %286 = torch.aten._make_per_tensor_quantized_tensor %281, %284, %285 : !torch.vtensor<[1,32,160,160],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,160,160],!torch.qint8>
    %287 = torch.aten.dequantize.self %286 : !torch.vtensor<[1,32,160,160],!torch.qint8> -> !torch.vtensor<[1,32,160,160],f32>
    %288 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %289 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_25 = torch.constant.int 12
    %290 = torch.aten.item %288 : !torch.vtensor<[],f32> -> !torch.float
    %291 = torch.aten.item %289 : !torch.vtensor<[],si8> -> !torch.int
    %292 = torch.aten.quantize_per_tensor %4, %290, %291, %int12_25 : !torch.vtensor<[32,32,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,32,1,1],!torch.qint8>
    %293 = torch.aten.int_repr %292 : !torch.vtensor<[32,32,1,1],!torch.qint8> -> !torch.vtensor<[32,32,1,1],si8>
    %294 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %295 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %296 = torch.aten.item %294 : !torch.vtensor<[],f32> -> !torch.float
    %297 = torch.aten.item %295 : !torch.vtensor<[],si8> -> !torch.int
    %298 = torch.aten._make_per_tensor_quantized_tensor %293, %296, %297 : !torch.vtensor<[32,32,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,32,1,1],!torch.qint8>
    %299 = torch.aten.dequantize.self %298 : !torch.vtensor<[32,32,1,1],!torch.qint8> -> !torch.vtensor<[32,32,1,1],f32>
    %300 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %301 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_26 = torch.constant.int 12
    %302 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
    %303 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
    %304 = torch.aten.quantize_per_tensor %5, %302, %303, %int12_26 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %305 = torch.aten.int_repr %304 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
    %306 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %307 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %308 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
    %309 = torch.aten.item %307 : !torch.vtensor<[],si8> -> !torch.int
    %310 = torch.aten._make_per_tensor_quantized_tensor %305, %308, %309 : !torch.vtensor<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %311 = torch.aten.dequantize.self %310 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
    %int0_27 = torch.constant.int 0
    %int0_28 = torch.constant.int 0
    %int1_29 = torch.constant.int 1
    %int1_30 = torch.constant.int 1
    %int1_31 = torch.constant.int 1
    %int1_32 = torch.constant.int 1
    %int0_33 = torch.constant.int 0
    %312 = torch.prim.ListConstruct %int0_27, %int0_28 : (!torch.int, !torch.int) -> !torch.list<int>
    %313 = torch.prim.ListConstruct %int1_29, %int1_30 : (!torch.int, !torch.int) -> !torch.list<int>
    %314 = torch.prim.ListConstruct %int1_31, %int1_32 : (!torch.int, !torch.int) -> !torch.list<int>
    %315 = torch.prim.ListConstruct %int0_33, %int0_33 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_34 = torch.constant.bool false
    %int1_35 = torch.constant.int 1
    %316 = torch.aten.convolution %287, %299, %311, %314, %312, %313, %false_34, %315, %int1_35 : !torch.vtensor<[1,32,160,160],f32>, !torch.vtensor<[32,32,1,1],f32>, !torch.vtensor<[32],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,32,160,160],f32>
    %317 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %318 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_36 = torch.constant.int 12
    %319 = torch.aten.item %317 : !torch.vtensor<[],f32> -> !torch.float
    %320 = torch.aten.item %318 : !torch.vtensor<[],si8> -> !torch.int
    %321 = torch.aten.quantize_per_tensor %316, %319, %320, %int12_36 : !torch.vtensor<[1,32,160,160],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,160,160],!torch.qint8>
    %322 = torch.aten.int_repr %321 : !torch.vtensor<[1,32,160,160],!torch.qint8> -> !torch.vtensor<[1,32,160,160],si8>
    %323 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %324 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %325 = torch.aten.item %323 : !torch.vtensor<[],f32> -> !torch.float
    %326 = torch.aten.item %324 : !torch.vtensor<[],si8> -> !torch.int
    %327 = torch.aten._make_per_tensor_quantized_tensor %322, %325, %326 : !torch.vtensor<[1,32,160,160],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,160,160],!torch.qint8>
    %328 = torch.aten.dequantize.self %327 : !torch.vtensor<[1,32,160,160],!torch.qint8> -> !torch.vtensor<[1,32,160,160],f32>
    %329 = torch.aten.sigmoid %328 : !torch.vtensor<[1,32,160,160],f32> -> !torch.vtensor<[1,32,160,160],f32>
    %330 = torch.aten.mul.Tensor %328, %329 : !torch.vtensor<[1,32,160,160],f32>, !torch.vtensor<[1,32,160,160],f32> -> !torch.vtensor<[1,32,160,160],f32>
    %331 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %332 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_37 = torch.constant.int 12
    %333 = torch.aten.item %331 : !torch.vtensor<[],f32> -> !torch.float
    %334 = torch.aten.item %332 : !torch.vtensor<[],si8> -> !torch.int
    %335 = torch.aten.quantize_per_tensor %330, %333, %334, %int12_37 : !torch.vtensor<[1,32,160,160],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,160,160],!torch.qint8>
    %336 = torch.aten.int_repr %335 : !torch.vtensor<[1,32,160,160],!torch.qint8> -> !torch.vtensor<[1,32,160,160],si8>
    %337 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %338 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %339 = torch.aten.item %337 : !torch.vtensor<[],f32> -> !torch.float
    %340 = torch.aten.item %338 : !torch.vtensor<[],si8> -> !torch.int
    %341 = torch.aten._make_per_tensor_quantized_tensor %336, %339, %340 : !torch.vtensor<[1,32,160,160],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,160,160],!torch.qint8>
    %342 = torch.aten.dequantize.self %341 : !torch.vtensor<[1,32,160,160],!torch.qint8> -> !torch.vtensor<[1,32,160,160],f32>
    %343 = torch.vtensor.literal(dense<16> : tensor<si64>) : !torch.vtensor<[],si64>
    %344 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %345 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %346 = torch.vtensor.literal(dense<16> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %347 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_38 = torch.constant.int 0
    %int0_39 = torch.constant.int 0
    %348 = torch.prim.NumToTensor.Scalar %int0_39 : !torch.int -> !torch.vtensor<[1],si64>
    %349 = torch.aten.index_select %345, %int0_38, %348 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %350 = torch.aten.item %349 : !torch.vtensor<[1],si64> -> !torch.int
    %351 = torch.aten.index_select %346, %int0_38, %348 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %352 = torch.aten.item %351 : !torch.vtensor<[1],si64> -> !torch.int
    %353 = torch.aten.index_select %344, %int0_38, %348 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %354 = torch.aten.item %353 : !torch.vtensor<[1],si64> -> !torch.int
    %355 = torch.aten.index_select %347, %int0_38, %348 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %356 = torch.aten.item %355 : !torch.vtensor<[1],si64> -> !torch.int
    %357 = torch.aten.slice.Tensor %342, %354, %350, %352, %356 : !torch.vtensor<[1,32,160,160],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[1,16,160,160],f32>
    %358 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %359 = torch.vtensor.literal(dense<16> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %360 = torch.vtensor.literal(dense<32> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %361 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_40 = torch.constant.int 0
    %int0_41 = torch.constant.int 0
    %362 = torch.prim.NumToTensor.Scalar %int0_41 : !torch.int -> !torch.vtensor<[1],si64>
    %363 = torch.aten.index_select %359, %int0_40, %362 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %364 = torch.aten.item %363 : !torch.vtensor<[1],si64> -> !torch.int
    %365 = torch.aten.index_select %360, %int0_40, %362 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %366 = torch.aten.item %365 : !torch.vtensor<[1],si64> -> !torch.int
    %367 = torch.aten.index_select %358, %int0_40, %362 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %368 = torch.aten.item %367 : !torch.vtensor<[1],si64> -> !torch.int
    %369 = torch.aten.index_select %361, %int0_40, %362 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %370 = torch.aten.item %369 : !torch.vtensor<[1],si64> -> !torch.int
    %371 = torch.aten.slice.Tensor %342, %368, %364, %366, %370 : !torch.vtensor<[1,32,160,160],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[1,16,160,160],f32>
    %372 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %373 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_42 = torch.constant.int 12
    %374 = torch.aten.item %372 : !torch.vtensor<[],f32> -> !torch.float
    %375 = torch.aten.item %373 : !torch.vtensor<[],si8> -> !torch.int
    %376 = torch.aten.quantize_per_tensor %6, %374, %375, %int12_42 : !torch.vtensor<[16,16,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[16,16,3,3],!torch.qint8>
    %377 = torch.aten.int_repr %376 : !torch.vtensor<[16,16,3,3],!torch.qint8> -> !torch.vtensor<[16,16,3,3],si8>
    %378 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %379 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %380 = torch.aten.item %378 : !torch.vtensor<[],f32> -> !torch.float
    %381 = torch.aten.item %379 : !torch.vtensor<[],si8> -> !torch.int
    %382 = torch.aten._make_per_tensor_quantized_tensor %377, %380, %381 : !torch.vtensor<[16,16,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[16,16,3,3],!torch.qint8>
    %383 = torch.aten.dequantize.self %382 : !torch.vtensor<[16,16,3,3],!torch.qint8> -> !torch.vtensor<[16,16,3,3],f32>
    %384 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %385 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_43 = torch.constant.int 12
    %386 = torch.aten.item %384 : !torch.vtensor<[],f32> -> !torch.float
    %387 = torch.aten.item %385 : !torch.vtensor<[],si8> -> !torch.int
    %388 = torch.aten.quantize_per_tensor %7, %386, %387, %int12_43 : !torch.vtensor<[16],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[16],!torch.qint8>
    %389 = torch.aten.int_repr %388 : !torch.vtensor<[16],!torch.qint8> -> !torch.vtensor<[16],si8>
    %390 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %391 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %392 = torch.aten.item %390 : !torch.vtensor<[],f32> -> !torch.float
    %393 = torch.aten.item %391 : !torch.vtensor<[],si8> -> !torch.int
    %394 = torch.aten._make_per_tensor_quantized_tensor %389, %392, %393 : !torch.vtensor<[16],si8>, !torch.float, !torch.int -> !torch.vtensor<[16],!torch.qint8>
    %395 = torch.aten.dequantize.self %394 : !torch.vtensor<[16],!torch.qint8> -> !torch.vtensor<[16],f32>
    %int1_44 = torch.constant.int 1
    %int1_45 = torch.constant.int 1
    %int1_46 = torch.constant.int 1
    %int1_47 = torch.constant.int 1
    %int1_48 = torch.constant.int 1
    %int1_49 = torch.constant.int 1
    %int0_50 = torch.constant.int 0
    %396 = torch.prim.ListConstruct %int1_44, %int1_45 : (!torch.int, !torch.int) -> !torch.list<int>
    %397 = torch.prim.ListConstruct %int1_46, %int1_47 : (!torch.int, !torch.int) -> !torch.list<int>
    %398 = torch.prim.ListConstruct %int1_48, %int1_49 : (!torch.int, !torch.int) -> !torch.list<int>
    %399 = torch.prim.ListConstruct %int0_50, %int0_50 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_51 = torch.constant.bool false
    %int1_52 = torch.constant.int 1
    %400 = torch.aten.convolution %371, %383, %395, %398, %396, %397, %false_51, %399, %int1_52 : !torch.vtensor<[1,16,160,160],f32>, !torch.vtensor<[16,16,3,3],f32>, !torch.vtensor<[16],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,16,160,160],f32>
    %401 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %402 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_53 = torch.constant.int 12
    %403 = torch.aten.item %401 : !torch.vtensor<[],f32> -> !torch.float
    %404 = torch.aten.item %402 : !torch.vtensor<[],si8> -> !torch.int
    %405 = torch.aten.quantize_per_tensor %400, %403, %404, %int12_53 : !torch.vtensor<[1,16,160,160],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,16,160,160],!torch.qint8>
    %406 = torch.aten.int_repr %405 : !torch.vtensor<[1,16,160,160],!torch.qint8> -> !torch.vtensor<[1,16,160,160],si8>
    %407 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %408 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %409 = torch.aten.item %407 : !torch.vtensor<[],f32> -> !torch.float
    %410 = torch.aten.item %408 : !torch.vtensor<[],si8> -> !torch.int
    %411 = torch.aten._make_per_tensor_quantized_tensor %406, %409, %410 : !torch.vtensor<[1,16,160,160],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,16,160,160],!torch.qint8>
    %412 = torch.aten.dequantize.self %411 : !torch.vtensor<[1,16,160,160],!torch.qint8> -> !torch.vtensor<[1,16,160,160],f32>
    %413 = torch.aten.sigmoid %412 : !torch.vtensor<[1,16,160,160],f32> -> !torch.vtensor<[1,16,160,160],f32>
    %414 = torch.aten.mul.Tensor %412, %413 : !torch.vtensor<[1,16,160,160],f32>, !torch.vtensor<[1,16,160,160],f32> -> !torch.vtensor<[1,16,160,160],f32>
    %415 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %416 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_54 = torch.constant.int 12
    %417 = torch.aten.item %415 : !torch.vtensor<[],f32> -> !torch.float
    %418 = torch.aten.item %416 : !torch.vtensor<[],si8> -> !torch.int
    %419 = torch.aten.quantize_per_tensor %414, %417, %418, %int12_54 : !torch.vtensor<[1,16,160,160],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,16,160,160],!torch.qint8>
    %420 = torch.aten.int_repr %419 : !torch.vtensor<[1,16,160,160],!torch.qint8> -> !torch.vtensor<[1,16,160,160],si8>
    %421 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %422 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %423 = torch.aten.item %421 : !torch.vtensor<[],f32> -> !torch.float
    %424 = torch.aten.item %422 : !torch.vtensor<[],si8> -> !torch.int
    %425 = torch.aten._make_per_tensor_quantized_tensor %420, %423, %424 : !torch.vtensor<[1,16,160,160],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,16,160,160],!torch.qint8>
    %426 = torch.aten.dequantize.self %425 : !torch.vtensor<[1,16,160,160],!torch.qint8> -> !torch.vtensor<[1,16,160,160],f32>
    %427 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %428 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_55 = torch.constant.int 12
    %429 = torch.aten.item %427 : !torch.vtensor<[],f32> -> !torch.float
    %430 = torch.aten.item %428 : !torch.vtensor<[],si8> -> !torch.int
    %431 = torch.aten.quantize_per_tensor %8, %429, %430, %int12_55 : !torch.vtensor<[16,16,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[16,16,3,3],!torch.qint8>
    %432 = torch.aten.int_repr %431 : !torch.vtensor<[16,16,3,3],!torch.qint8> -> !torch.vtensor<[16,16,3,3],si8>
    %433 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %434 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %435 = torch.aten.item %433 : !torch.vtensor<[],f32> -> !torch.float
    %436 = torch.aten.item %434 : !torch.vtensor<[],si8> -> !torch.int
    %437 = torch.aten._make_per_tensor_quantized_tensor %432, %435, %436 : !torch.vtensor<[16,16,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[16,16,3,3],!torch.qint8>
    %438 = torch.aten.dequantize.self %437 : !torch.vtensor<[16,16,3,3],!torch.qint8> -> !torch.vtensor<[16,16,3,3],f32>
    %439 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %440 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_56 = torch.constant.int 12
    %441 = torch.aten.item %439 : !torch.vtensor<[],f32> -> !torch.float
    %442 = torch.aten.item %440 : !torch.vtensor<[],si8> -> !torch.int
    %443 = torch.aten.quantize_per_tensor %9, %441, %442, %int12_56 : !torch.vtensor<[16],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[16],!torch.qint8>
    %444 = torch.aten.int_repr %443 : !torch.vtensor<[16],!torch.qint8> -> !torch.vtensor<[16],si8>
    %445 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %446 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %447 = torch.aten.item %445 : !torch.vtensor<[],f32> -> !torch.float
    %448 = torch.aten.item %446 : !torch.vtensor<[],si8> -> !torch.int
    %449 = torch.aten._make_per_tensor_quantized_tensor %444, %447, %448 : !torch.vtensor<[16],si8>, !torch.float, !torch.int -> !torch.vtensor<[16],!torch.qint8>
    %450 = torch.aten.dequantize.self %449 : !torch.vtensor<[16],!torch.qint8> -> !torch.vtensor<[16],f32>
    %int1_57 = torch.constant.int 1
    %int1_58 = torch.constant.int 1
    %int1_59 = torch.constant.int 1
    %int1_60 = torch.constant.int 1
    %int1_61 = torch.constant.int 1
    %int1_62 = torch.constant.int 1
    %int0_63 = torch.constant.int 0
    %451 = torch.prim.ListConstruct %int1_57, %int1_58 : (!torch.int, !torch.int) -> !torch.list<int>
    %452 = torch.prim.ListConstruct %int1_59, %int1_60 : (!torch.int, !torch.int) -> !torch.list<int>
    %453 = torch.prim.ListConstruct %int1_61, %int1_62 : (!torch.int, !torch.int) -> !torch.list<int>
    %454 = torch.prim.ListConstruct %int0_63, %int0_63 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_64 = torch.constant.bool false
    %int1_65 = torch.constant.int 1
    %455 = torch.aten.convolution %426, %438, %450, %453, %451, %452, %false_64, %454, %int1_65 : !torch.vtensor<[1,16,160,160],f32>, !torch.vtensor<[16,16,3,3],f32>, !torch.vtensor<[16],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,16,160,160],f32>
    %456 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %457 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_66 = torch.constant.int 12
    %458 = torch.aten.item %456 : !torch.vtensor<[],f32> -> !torch.float
    %459 = torch.aten.item %457 : !torch.vtensor<[],si8> -> !torch.int
    %460 = torch.aten.quantize_per_tensor %455, %458, %459, %int12_66 : !torch.vtensor<[1,16,160,160],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,16,160,160],!torch.qint8>
    %461 = torch.aten.int_repr %460 : !torch.vtensor<[1,16,160,160],!torch.qint8> -> !torch.vtensor<[1,16,160,160],si8>
    %462 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %463 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %464 = torch.aten.item %462 : !torch.vtensor<[],f32> -> !torch.float
    %465 = torch.aten.item %463 : !torch.vtensor<[],si8> -> !torch.int
    %466 = torch.aten._make_per_tensor_quantized_tensor %461, %464, %465 : !torch.vtensor<[1,16,160,160],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,16,160,160],!torch.qint8>
    %467 = torch.aten.dequantize.self %466 : !torch.vtensor<[1,16,160,160],!torch.qint8> -> !torch.vtensor<[1,16,160,160],f32>
    %468 = torch.aten.sigmoid %467 : !torch.vtensor<[1,16,160,160],f32> -> !torch.vtensor<[1,16,160,160],f32>
    %469 = torch.aten.mul.Tensor %467, %468 : !torch.vtensor<[1,16,160,160],f32>, !torch.vtensor<[1,16,160,160],f32> -> !torch.vtensor<[1,16,160,160],f32>
    %470 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %471 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_67 = torch.constant.int 12
    %472 = torch.aten.item %470 : !torch.vtensor<[],f32> -> !torch.float
    %473 = torch.aten.item %471 : !torch.vtensor<[],si8> -> !torch.int
    %474 = torch.aten.quantize_per_tensor %469, %472, %473, %int12_67 : !torch.vtensor<[1,16,160,160],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,16,160,160],!torch.qint8>
    %475 = torch.aten.int_repr %474 : !torch.vtensor<[1,16,160,160],!torch.qint8> -> !torch.vtensor<[1,16,160,160],si8>
    %476 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %477 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %478 = torch.aten.item %476 : !torch.vtensor<[],f32> -> !torch.float
    %479 = torch.aten.item %477 : !torch.vtensor<[],si8> -> !torch.int
    %480 = torch.aten._make_per_tensor_quantized_tensor %475, %478, %479 : !torch.vtensor<[1,16,160,160],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,16,160,160],!torch.qint8>
    %481 = torch.aten.dequantize.self %480 : !torch.vtensor<[1,16,160,160],!torch.qint8> -> !torch.vtensor<[1,16,160,160],f32>
    %int1_68 = torch.constant.int 1
    %482 = torch.aten.add.Tensor %371, %481, %int1_68 : !torch.vtensor<[1,16,160,160],f32>, !torch.vtensor<[1,16,160,160],f32>, !torch.int -> !torch.vtensor<[1,16,160,160],f32>
    %483 = torch.prim.ListConstruct %357, %371, %482 : (!torch.vtensor<[1,16,160,160],f32>, !torch.vtensor<[1,16,160,160],f32>, !torch.vtensor<[1,16,160,160],f32>) -> !torch.list<vtensor>
    %int1_69 = torch.constant.int 1
    %484 = torch.aten.cat %483, %int1_69 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[1,48,160,160],f32>
    %485 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %486 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_70 = torch.constant.int 12
    %487 = torch.aten.item %485 : !torch.vtensor<[],f32> -> !torch.float
    %488 = torch.aten.item %486 : !torch.vtensor<[],si8> -> !torch.int
    %489 = torch.aten.quantize_per_tensor %484, %487, %488, %int12_70 : !torch.vtensor<[1,48,160,160],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,48,160,160],!torch.qint8>
    %490 = torch.aten.int_repr %489 : !torch.vtensor<[1,48,160,160],!torch.qint8> -> !torch.vtensor<[1,48,160,160],si8>
    %491 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %492 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %493 = torch.aten.item %491 : !torch.vtensor<[],f32> -> !torch.float
    %494 = torch.aten.item %492 : !torch.vtensor<[],si8> -> !torch.int
    %495 = torch.aten._make_per_tensor_quantized_tensor %490, %493, %494 : !torch.vtensor<[1,48,160,160],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,48,160,160],!torch.qint8>
    %496 = torch.aten.dequantize.self %495 : !torch.vtensor<[1,48,160,160],!torch.qint8> -> !torch.vtensor<[1,48,160,160],f32>
    %497 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %498 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_71 = torch.constant.int 12
    %499 = torch.aten.item %497 : !torch.vtensor<[],f32> -> !torch.float
    %500 = torch.aten.item %498 : !torch.vtensor<[],si8> -> !torch.int
    %501 = torch.aten.quantize_per_tensor %10, %499, %500, %int12_71 : !torch.vtensor<[32,48,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,48,1,1],!torch.qint8>
    %502 = torch.aten.int_repr %501 : !torch.vtensor<[32,48,1,1],!torch.qint8> -> !torch.vtensor<[32,48,1,1],si8>
    %503 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %504 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %505 = torch.aten.item %503 : !torch.vtensor<[],f32> -> !torch.float
    %506 = torch.aten.item %504 : !torch.vtensor<[],si8> -> !torch.int
    %507 = torch.aten._make_per_tensor_quantized_tensor %502, %505, %506 : !torch.vtensor<[32,48,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,48,1,1],!torch.qint8>
    %508 = torch.aten.dequantize.self %507 : !torch.vtensor<[32,48,1,1],!torch.qint8> -> !torch.vtensor<[32,48,1,1],f32>
    %509 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %510 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_72 = torch.constant.int 12
    %511 = torch.aten.item %509 : !torch.vtensor<[],f32> -> !torch.float
    %512 = torch.aten.item %510 : !torch.vtensor<[],si8> -> !torch.int
    %513 = torch.aten.quantize_per_tensor %11, %511, %512, %int12_72 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %514 = torch.aten.int_repr %513 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
    %515 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %516 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %517 = torch.aten.item %515 : !torch.vtensor<[],f32> -> !torch.float
    %518 = torch.aten.item %516 : !torch.vtensor<[],si8> -> !torch.int
    %519 = torch.aten._make_per_tensor_quantized_tensor %514, %517, %518 : !torch.vtensor<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %520 = torch.aten.dequantize.self %519 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
    %int0_73 = torch.constant.int 0
    %int0_74 = torch.constant.int 0
    %int1_75 = torch.constant.int 1
    %int1_76 = torch.constant.int 1
    %int1_77 = torch.constant.int 1
    %int1_78 = torch.constant.int 1
    %int0_79 = torch.constant.int 0
    %521 = torch.prim.ListConstruct %int0_73, %int0_74 : (!torch.int, !torch.int) -> !torch.list<int>
    %522 = torch.prim.ListConstruct %int1_75, %int1_76 : (!torch.int, !torch.int) -> !torch.list<int>
    %523 = torch.prim.ListConstruct %int1_77, %int1_78 : (!torch.int, !torch.int) -> !torch.list<int>
    %524 = torch.prim.ListConstruct %int0_79, %int0_79 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_80 = torch.constant.bool false
    %int1_81 = torch.constant.int 1
    %525 = torch.aten.convolution %496, %508, %520, %523, %521, %522, %false_80, %524, %int1_81 : !torch.vtensor<[1,48,160,160],f32>, !torch.vtensor<[32,48,1,1],f32>, !torch.vtensor<[32],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,32,160,160],f32>
    %526 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %527 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_82 = torch.constant.int 12
    %528 = torch.aten.item %526 : !torch.vtensor<[],f32> -> !torch.float
    %529 = torch.aten.item %527 : !torch.vtensor<[],si8> -> !torch.int
    %530 = torch.aten.quantize_per_tensor %525, %528, %529, %int12_82 : !torch.vtensor<[1,32,160,160],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,160,160],!torch.qint8>
    %531 = torch.aten.int_repr %530 : !torch.vtensor<[1,32,160,160],!torch.qint8> -> !torch.vtensor<[1,32,160,160],si8>
    %532 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %533 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %534 = torch.aten.item %532 : !torch.vtensor<[],f32> -> !torch.float
    %535 = torch.aten.item %533 : !torch.vtensor<[],si8> -> !torch.int
    %536 = torch.aten._make_per_tensor_quantized_tensor %531, %534, %535 : !torch.vtensor<[1,32,160,160],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,160,160],!torch.qint8>
    %537 = torch.aten.dequantize.self %536 : !torch.vtensor<[1,32,160,160],!torch.qint8> -> !torch.vtensor<[1,32,160,160],f32>
    %538 = torch.aten.sigmoid %537 : !torch.vtensor<[1,32,160,160],f32> -> !torch.vtensor<[1,32,160,160],f32>
    %539 = torch.aten.mul.Tensor %537, %538 : !torch.vtensor<[1,32,160,160],f32>, !torch.vtensor<[1,32,160,160],f32> -> !torch.vtensor<[1,32,160,160],f32>
    %540 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %541 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_83 = torch.constant.int 12
    %542 = torch.aten.item %540 : !torch.vtensor<[],f32> -> !torch.float
    %543 = torch.aten.item %541 : !torch.vtensor<[],si8> -> !torch.int
    %544 = torch.aten.quantize_per_tensor %539, %542, %543, %int12_83 : !torch.vtensor<[1,32,160,160],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,160,160],!torch.qint8>
    %545 = torch.aten.int_repr %544 : !torch.vtensor<[1,32,160,160],!torch.qint8> -> !torch.vtensor<[1,32,160,160],si8>
    %546 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %547 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %548 = torch.aten.item %546 : !torch.vtensor<[],f32> -> !torch.float
    %549 = torch.aten.item %547 : !torch.vtensor<[],si8> -> !torch.int
    %550 = torch.aten._make_per_tensor_quantized_tensor %545, %548, %549 : !torch.vtensor<[1,32,160,160],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,160,160],!torch.qint8>
    %551 = torch.aten.dequantize.self %550 : !torch.vtensor<[1,32,160,160],!torch.qint8> -> !torch.vtensor<[1,32,160,160],f32>
    %552 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %553 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_84 = torch.constant.int 12
    %554 = torch.aten.item %552 : !torch.vtensor<[],f32> -> !torch.float
    %555 = torch.aten.item %553 : !torch.vtensor<[],si8> -> !torch.int
    %556 = torch.aten.quantize_per_tensor %12, %554, %555, %int12_84 : !torch.vtensor<[64,32,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,32,3,3],!torch.qint8>
    %557 = torch.aten.int_repr %556 : !torch.vtensor<[64,32,3,3],!torch.qint8> -> !torch.vtensor<[64,32,3,3],si8>
    %558 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %559 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %560 = torch.aten.item %558 : !torch.vtensor<[],f32> -> !torch.float
    %561 = torch.aten.item %559 : !torch.vtensor<[],si8> -> !torch.int
    %562 = torch.aten._make_per_tensor_quantized_tensor %557, %560, %561 : !torch.vtensor<[64,32,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,32,3,3],!torch.qint8>
    %563 = torch.aten.dequantize.self %562 : !torch.vtensor<[64,32,3,3],!torch.qint8> -> !torch.vtensor<[64,32,3,3],f32>
    %564 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %565 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_85 = torch.constant.int 12
    %566 = torch.aten.item %564 : !torch.vtensor<[],f32> -> !torch.float
    %567 = torch.aten.item %565 : !torch.vtensor<[],si8> -> !torch.int
    %568 = torch.aten.quantize_per_tensor %13, %566, %567, %int12_85 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %569 = torch.aten.int_repr %568 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %570 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %571 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %572 = torch.aten.item %570 : !torch.vtensor<[],f32> -> !torch.float
    %573 = torch.aten.item %571 : !torch.vtensor<[],si8> -> !torch.int
    %574 = torch.aten._make_per_tensor_quantized_tensor %569, %572, %573 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %575 = torch.aten.dequantize.self %574 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int1_86 = torch.constant.int 1
    %int1_87 = torch.constant.int 1
    %int1_88 = torch.constant.int 1
    %int1_89 = torch.constant.int 1
    %int2_90 = torch.constant.int 2
    %int2_91 = torch.constant.int 2
    %int0_92 = torch.constant.int 0
    %576 = torch.prim.ListConstruct %int1_86, %int1_87 : (!torch.int, !torch.int) -> !torch.list<int>
    %577 = torch.prim.ListConstruct %int1_88, %int1_89 : (!torch.int, !torch.int) -> !torch.list<int>
    %578 = torch.prim.ListConstruct %int2_90, %int2_91 : (!torch.int, !torch.int) -> !torch.list<int>
    %579 = torch.prim.ListConstruct %int0_92, %int0_92 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_93 = torch.constant.bool false
    %int1_94 = torch.constant.int 1
    %580 = torch.aten.convolution %551, %563, %575, %578, %576, %577, %false_93, %579, %int1_94 : !torch.vtensor<[1,32,160,160],f32>, !torch.vtensor<[64,32,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,80,80],f32>
    %581 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %582 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_95 = torch.constant.int 12
    %583 = torch.aten.item %581 : !torch.vtensor<[],f32> -> !torch.float
    %584 = torch.aten.item %582 : !torch.vtensor<[],si8> -> !torch.int
    %585 = torch.aten.quantize_per_tensor %580, %583, %584, %int12_95 : !torch.vtensor<[1,64,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %586 = torch.aten.int_repr %585 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],si8>
    %587 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %588 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %589 = torch.aten.item %587 : !torch.vtensor<[],f32> -> !torch.float
    %590 = torch.aten.item %588 : !torch.vtensor<[],si8> -> !torch.int
    %591 = torch.aten._make_per_tensor_quantized_tensor %586, %589, %590 : !torch.vtensor<[1,64,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %592 = torch.aten.dequantize.self %591 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],f32>
    %593 = torch.aten.sigmoid %592 : !torch.vtensor<[1,64,80,80],f32> -> !torch.vtensor<[1,64,80,80],f32>
    %594 = torch.aten.mul.Tensor %592, %593 : !torch.vtensor<[1,64,80,80],f32>, !torch.vtensor<[1,64,80,80],f32> -> !torch.vtensor<[1,64,80,80],f32>
    %595 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %596 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_96 = torch.constant.int 12
    %597 = torch.aten.item %595 : !torch.vtensor<[],f32> -> !torch.float
    %598 = torch.aten.item %596 : !torch.vtensor<[],si8> -> !torch.int
    %599 = torch.aten.quantize_per_tensor %594, %597, %598, %int12_96 : !torch.vtensor<[1,64,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %600 = torch.aten.int_repr %599 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],si8>
    %601 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %602 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %603 = torch.aten.item %601 : !torch.vtensor<[],f32> -> !torch.float
    %604 = torch.aten.item %602 : !torch.vtensor<[],si8> -> !torch.int
    %605 = torch.aten._make_per_tensor_quantized_tensor %600, %603, %604 : !torch.vtensor<[1,64,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %606 = torch.aten.dequantize.self %605 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],f32>
    %607 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %608 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_97 = torch.constant.int 12
    %609 = torch.aten.item %607 : !torch.vtensor<[],f32> -> !torch.float
    %610 = torch.aten.item %608 : !torch.vtensor<[],si8> -> !torch.int
    %611 = torch.aten.quantize_per_tensor %14, %609, %610, %int12_97 : !torch.vtensor<[64,64,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,1,1],!torch.qint8>
    %612 = torch.aten.int_repr %611 : !torch.vtensor<[64,64,1,1],!torch.qint8> -> !torch.vtensor<[64,64,1,1],si8>
    %613 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %614 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %615 = torch.aten.item %613 : !torch.vtensor<[],f32> -> !torch.float
    %616 = torch.aten.item %614 : !torch.vtensor<[],si8> -> !torch.int
    %617 = torch.aten._make_per_tensor_quantized_tensor %612, %615, %616 : !torch.vtensor<[64,64,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,1,1],!torch.qint8>
    %618 = torch.aten.dequantize.self %617 : !torch.vtensor<[64,64,1,1],!torch.qint8> -> !torch.vtensor<[64,64,1,1],f32>
    %619 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %620 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_98 = torch.constant.int 12
    %621 = torch.aten.item %619 : !torch.vtensor<[],f32> -> !torch.float
    %622 = torch.aten.item %620 : !torch.vtensor<[],si8> -> !torch.int
    %623 = torch.aten.quantize_per_tensor %15, %621, %622, %int12_98 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %624 = torch.aten.int_repr %623 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %625 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %626 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %627 = torch.aten.item %625 : !torch.vtensor<[],f32> -> !torch.float
    %628 = torch.aten.item %626 : !torch.vtensor<[],si8> -> !torch.int
    %629 = torch.aten._make_per_tensor_quantized_tensor %624, %627, %628 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %630 = torch.aten.dequantize.self %629 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int0_99 = torch.constant.int 0
    %int0_100 = torch.constant.int 0
    %int1_101 = torch.constant.int 1
    %int1_102 = torch.constant.int 1
    %int1_103 = torch.constant.int 1
    %int1_104 = torch.constant.int 1
    %int0_105 = torch.constant.int 0
    %631 = torch.prim.ListConstruct %int0_99, %int0_100 : (!torch.int, !torch.int) -> !torch.list<int>
    %632 = torch.prim.ListConstruct %int1_101, %int1_102 : (!torch.int, !torch.int) -> !torch.list<int>
    %633 = torch.prim.ListConstruct %int1_103, %int1_104 : (!torch.int, !torch.int) -> !torch.list<int>
    %634 = torch.prim.ListConstruct %int0_105, %int0_105 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_106 = torch.constant.bool false
    %int1_107 = torch.constant.int 1
    %635 = torch.aten.convolution %606, %618, %630, %633, %631, %632, %false_106, %634, %int1_107 : !torch.vtensor<[1,64,80,80],f32>, !torch.vtensor<[64,64,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,80,80],f32>
    %636 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %637 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_108 = torch.constant.int 12
    %638 = torch.aten.item %636 : !torch.vtensor<[],f32> -> !torch.float
    %639 = torch.aten.item %637 : !torch.vtensor<[],si8> -> !torch.int
    %640 = torch.aten.quantize_per_tensor %635, %638, %639, %int12_108 : !torch.vtensor<[1,64,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %641 = torch.aten.int_repr %640 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],si8>
    %642 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %643 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %644 = torch.aten.item %642 : !torch.vtensor<[],f32> -> !torch.float
    %645 = torch.aten.item %643 : !torch.vtensor<[],si8> -> !torch.int
    %646 = torch.aten._make_per_tensor_quantized_tensor %641, %644, %645 : !torch.vtensor<[1,64,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %647 = torch.aten.dequantize.self %646 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],f32>
    %648 = torch.aten.sigmoid %647 : !torch.vtensor<[1,64,80,80],f32> -> !torch.vtensor<[1,64,80,80],f32>
    %649 = torch.aten.mul.Tensor %647, %648 : !torch.vtensor<[1,64,80,80],f32>, !torch.vtensor<[1,64,80,80],f32> -> !torch.vtensor<[1,64,80,80],f32>
    %650 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %651 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_109 = torch.constant.int 12
    %652 = torch.aten.item %650 : !torch.vtensor<[],f32> -> !torch.float
    %653 = torch.aten.item %651 : !torch.vtensor<[],si8> -> !torch.int
    %654 = torch.aten.quantize_per_tensor %649, %652, %653, %int12_109 : !torch.vtensor<[1,64,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %655 = torch.aten.int_repr %654 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],si8>
    %656 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %657 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %658 = torch.aten.item %656 : !torch.vtensor<[],f32> -> !torch.float
    %659 = torch.aten.item %657 : !torch.vtensor<[],si8> -> !torch.int
    %660 = torch.aten._make_per_tensor_quantized_tensor %655, %658, %659 : !torch.vtensor<[1,64,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %661 = torch.aten.dequantize.self %660 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],f32>
    %662 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %663 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %664 = torch.vtensor.literal(dense<32> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %665 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_110 = torch.constant.int 0
    %int0_111 = torch.constant.int 0
    %666 = torch.prim.NumToTensor.Scalar %int0_111 : !torch.int -> !torch.vtensor<[1],si64>
    %667 = torch.aten.index_select %663, %int0_110, %666 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %668 = torch.aten.item %667 : !torch.vtensor<[1],si64> -> !torch.int
    %669 = torch.aten.index_select %664, %int0_110, %666 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %670 = torch.aten.item %669 : !torch.vtensor<[1],si64> -> !torch.int
    %671 = torch.aten.index_select %662, %int0_110, %666 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %672 = torch.aten.item %671 : !torch.vtensor<[1],si64> -> !torch.int
    %673 = torch.aten.index_select %665, %int0_110, %666 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %674 = torch.aten.item %673 : !torch.vtensor<[1],si64> -> !torch.int
    %675 = torch.aten.slice.Tensor %661, %672, %668, %670, %674 : !torch.vtensor<[1,64,80,80],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[1,32,80,80],f32>
    %676 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %677 = torch.vtensor.literal(dense<32> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %678 = torch.vtensor.literal(dense<64> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %679 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_112 = torch.constant.int 0
    %int0_113 = torch.constant.int 0
    %680 = torch.prim.NumToTensor.Scalar %int0_113 : !torch.int -> !torch.vtensor<[1],si64>
    %681 = torch.aten.index_select %677, %int0_112, %680 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %682 = torch.aten.item %681 : !torch.vtensor<[1],si64> -> !torch.int
    %683 = torch.aten.index_select %678, %int0_112, %680 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %684 = torch.aten.item %683 : !torch.vtensor<[1],si64> -> !torch.int
    %685 = torch.aten.index_select %676, %int0_112, %680 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %686 = torch.aten.item %685 : !torch.vtensor<[1],si64> -> !torch.int
    %687 = torch.aten.index_select %679, %int0_112, %680 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %688 = torch.aten.item %687 : !torch.vtensor<[1],si64> -> !torch.int
    %689 = torch.aten.slice.Tensor %661, %686, %682, %684, %688 : !torch.vtensor<[1,64,80,80],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[1,32,80,80],f32>
    %690 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %691 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_114 = torch.constant.int 12
    %692 = torch.aten.item %690 : !torch.vtensor<[],f32> -> !torch.float
    %693 = torch.aten.item %691 : !torch.vtensor<[],si8> -> !torch.int
    %694 = torch.aten.quantize_per_tensor %16, %692, %693, %int12_114 : !torch.vtensor<[32,32,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,32,3,3],!torch.qint8>
    %695 = torch.aten.int_repr %694 : !torch.vtensor<[32,32,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3],si8>
    %696 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %697 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %698 = torch.aten.item %696 : !torch.vtensor<[],f32> -> !torch.float
    %699 = torch.aten.item %697 : !torch.vtensor<[],si8> -> !torch.int
    %700 = torch.aten._make_per_tensor_quantized_tensor %695, %698, %699 : !torch.vtensor<[32,32,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,32,3,3],!torch.qint8>
    %701 = torch.aten.dequantize.self %700 : !torch.vtensor<[32,32,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3],f32>
    %702 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %703 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_115 = torch.constant.int 12
    %704 = torch.aten.item %702 : !torch.vtensor<[],f32> -> !torch.float
    %705 = torch.aten.item %703 : !torch.vtensor<[],si8> -> !torch.int
    %706 = torch.aten.quantize_per_tensor %17, %704, %705, %int12_115 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %707 = torch.aten.int_repr %706 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
    %708 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %709 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %710 = torch.aten.item %708 : !torch.vtensor<[],f32> -> !torch.float
    %711 = torch.aten.item %709 : !torch.vtensor<[],si8> -> !torch.int
    %712 = torch.aten._make_per_tensor_quantized_tensor %707, %710, %711 : !torch.vtensor<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %713 = torch.aten.dequantize.self %712 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
    %int1_116 = torch.constant.int 1
    %int1_117 = torch.constant.int 1
    %int1_118 = torch.constant.int 1
    %int1_119 = torch.constant.int 1
    %int1_120 = torch.constant.int 1
    %int1_121 = torch.constant.int 1
    %int0_122 = torch.constant.int 0
    %714 = torch.prim.ListConstruct %int1_116, %int1_117 : (!torch.int, !torch.int) -> !torch.list<int>
    %715 = torch.prim.ListConstruct %int1_118, %int1_119 : (!torch.int, !torch.int) -> !torch.list<int>
    %716 = torch.prim.ListConstruct %int1_120, %int1_121 : (!torch.int, !torch.int) -> !torch.list<int>
    %717 = torch.prim.ListConstruct %int0_122, %int0_122 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_123 = torch.constant.bool false
    %int1_124 = torch.constant.int 1
    %718 = torch.aten.convolution %689, %701, %713, %716, %714, %715, %false_123, %717, %int1_124 : !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[32,32,3,3],f32>, !torch.vtensor<[32],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,32,80,80],f32>
    %719 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %720 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_125 = torch.constant.int 12
    %721 = torch.aten.item %719 : !torch.vtensor<[],f32> -> !torch.float
    %722 = torch.aten.item %720 : !torch.vtensor<[],si8> -> !torch.int
    %723 = torch.aten.quantize_per_tensor %718, %721, %722, %int12_125 : !torch.vtensor<[1,32,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %724 = torch.aten.int_repr %723 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],si8>
    %725 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %726 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %727 = torch.aten.item %725 : !torch.vtensor<[],f32> -> !torch.float
    %728 = torch.aten.item %726 : !torch.vtensor<[],si8> -> !torch.int
    %729 = torch.aten._make_per_tensor_quantized_tensor %724, %727, %728 : !torch.vtensor<[1,32,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %730 = torch.aten.dequantize.self %729 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],f32>
    %731 = torch.aten.sigmoid %730 : !torch.vtensor<[1,32,80,80],f32> -> !torch.vtensor<[1,32,80,80],f32>
    %732 = torch.aten.mul.Tensor %730, %731 : !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[1,32,80,80],f32> -> !torch.vtensor<[1,32,80,80],f32>
    %733 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %734 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_126 = torch.constant.int 12
    %735 = torch.aten.item %733 : !torch.vtensor<[],f32> -> !torch.float
    %736 = torch.aten.item %734 : !torch.vtensor<[],si8> -> !torch.int
    %737 = torch.aten.quantize_per_tensor %732, %735, %736, %int12_126 : !torch.vtensor<[1,32,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %738 = torch.aten.int_repr %737 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],si8>
    %739 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %740 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %741 = torch.aten.item %739 : !torch.vtensor<[],f32> -> !torch.float
    %742 = torch.aten.item %740 : !torch.vtensor<[],si8> -> !torch.int
    %743 = torch.aten._make_per_tensor_quantized_tensor %738, %741, %742 : !torch.vtensor<[1,32,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %744 = torch.aten.dequantize.self %743 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],f32>
    %745 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %746 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_127 = torch.constant.int 12
    %747 = torch.aten.item %745 : !torch.vtensor<[],f32> -> !torch.float
    %748 = torch.aten.item %746 : !torch.vtensor<[],si8> -> !torch.int
    %749 = torch.aten.quantize_per_tensor %18, %747, %748, %int12_127 : !torch.vtensor<[32,32,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,32,3,3],!torch.qint8>
    %750 = torch.aten.int_repr %749 : !torch.vtensor<[32,32,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3],si8>
    %751 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %752 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %753 = torch.aten.item %751 : !torch.vtensor<[],f32> -> !torch.float
    %754 = torch.aten.item %752 : !torch.vtensor<[],si8> -> !torch.int
    %755 = torch.aten._make_per_tensor_quantized_tensor %750, %753, %754 : !torch.vtensor<[32,32,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,32,3,3],!torch.qint8>
    %756 = torch.aten.dequantize.self %755 : !torch.vtensor<[32,32,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3],f32>
    %757 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %758 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_128 = torch.constant.int 12
    %759 = torch.aten.item %757 : !torch.vtensor<[],f32> -> !torch.float
    %760 = torch.aten.item %758 : !torch.vtensor<[],si8> -> !torch.int
    %761 = torch.aten.quantize_per_tensor %19, %759, %760, %int12_128 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %762 = torch.aten.int_repr %761 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
    %763 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %764 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %765 = torch.aten.item %763 : !torch.vtensor<[],f32> -> !torch.float
    %766 = torch.aten.item %764 : !torch.vtensor<[],si8> -> !torch.int
    %767 = torch.aten._make_per_tensor_quantized_tensor %762, %765, %766 : !torch.vtensor<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %768 = torch.aten.dequantize.self %767 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
    %int1_129 = torch.constant.int 1
    %int1_130 = torch.constant.int 1
    %int1_131 = torch.constant.int 1
    %int1_132 = torch.constant.int 1
    %int1_133 = torch.constant.int 1
    %int1_134 = torch.constant.int 1
    %int0_135 = torch.constant.int 0
    %769 = torch.prim.ListConstruct %int1_129, %int1_130 : (!torch.int, !torch.int) -> !torch.list<int>
    %770 = torch.prim.ListConstruct %int1_131, %int1_132 : (!torch.int, !torch.int) -> !torch.list<int>
    %771 = torch.prim.ListConstruct %int1_133, %int1_134 : (!torch.int, !torch.int) -> !torch.list<int>
    %772 = torch.prim.ListConstruct %int0_135, %int0_135 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_136 = torch.constant.bool false
    %int1_137 = torch.constant.int 1
    %773 = torch.aten.convolution %744, %756, %768, %771, %769, %770, %false_136, %772, %int1_137 : !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[32,32,3,3],f32>, !torch.vtensor<[32],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,32,80,80],f32>
    %774 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %775 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_138 = torch.constant.int 12
    %776 = torch.aten.item %774 : !torch.vtensor<[],f32> -> !torch.float
    %777 = torch.aten.item %775 : !torch.vtensor<[],si8> -> !torch.int
    %778 = torch.aten.quantize_per_tensor %773, %776, %777, %int12_138 : !torch.vtensor<[1,32,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %779 = torch.aten.int_repr %778 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],si8>
    %780 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %781 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %782 = torch.aten.item %780 : !torch.vtensor<[],f32> -> !torch.float
    %783 = torch.aten.item %781 : !torch.vtensor<[],si8> -> !torch.int
    %784 = torch.aten._make_per_tensor_quantized_tensor %779, %782, %783 : !torch.vtensor<[1,32,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %785 = torch.aten.dequantize.self %784 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],f32>
    %786 = torch.aten.sigmoid %785 : !torch.vtensor<[1,32,80,80],f32> -> !torch.vtensor<[1,32,80,80],f32>
    %787 = torch.aten.mul.Tensor %785, %786 : !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[1,32,80,80],f32> -> !torch.vtensor<[1,32,80,80],f32>
    %788 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %789 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_139 = torch.constant.int 12
    %790 = torch.aten.item %788 : !torch.vtensor<[],f32> -> !torch.float
    %791 = torch.aten.item %789 : !torch.vtensor<[],si8> -> !torch.int
    %792 = torch.aten.quantize_per_tensor %787, %790, %791, %int12_139 : !torch.vtensor<[1,32,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %793 = torch.aten.int_repr %792 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],si8>
    %794 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %795 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %796 = torch.aten.item %794 : !torch.vtensor<[],f32> -> !torch.float
    %797 = torch.aten.item %795 : !torch.vtensor<[],si8> -> !torch.int
    %798 = torch.aten._make_per_tensor_quantized_tensor %793, %796, %797 : !torch.vtensor<[1,32,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %799 = torch.aten.dequantize.self %798 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],f32>
    %int1_140 = torch.constant.int 1
    %800 = torch.aten.add.Tensor %689, %799, %int1_140 : !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[1,32,80,80],f32>, !torch.int -> !torch.vtensor<[1,32,80,80],f32>
    %801 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %802 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_141 = torch.constant.int 12
    %803 = torch.aten.item %801 : !torch.vtensor<[],f32> -> !torch.float
    %804 = torch.aten.item %802 : !torch.vtensor<[],si8> -> !torch.int
    %805 = torch.aten.quantize_per_tensor %800, %803, %804, %int12_141 : !torch.vtensor<[1,32,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %806 = torch.aten.int_repr %805 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],si8>
    %807 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %808 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %809 = torch.aten.item %807 : !torch.vtensor<[],f32> -> !torch.float
    %810 = torch.aten.item %808 : !torch.vtensor<[],si8> -> !torch.int
    %811 = torch.aten._make_per_tensor_quantized_tensor %806, %809, %810 : !torch.vtensor<[1,32,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %812 = torch.aten.dequantize.self %811 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],f32>
    %813 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %814 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_142 = torch.constant.int 12
    %815 = torch.aten.item %813 : !torch.vtensor<[],f32> -> !torch.float
    %816 = torch.aten.item %814 : !torch.vtensor<[],si8> -> !torch.int
    %817 = torch.aten.quantize_per_tensor %20, %815, %816, %int12_142 : !torch.vtensor<[32,32,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,32,3,3],!torch.qint8>
    %818 = torch.aten.int_repr %817 : !torch.vtensor<[32,32,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3],si8>
    %819 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %820 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %821 = torch.aten.item %819 : !torch.vtensor<[],f32> -> !torch.float
    %822 = torch.aten.item %820 : !torch.vtensor<[],si8> -> !torch.int
    %823 = torch.aten._make_per_tensor_quantized_tensor %818, %821, %822 : !torch.vtensor<[32,32,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,32,3,3],!torch.qint8>
    %824 = torch.aten.dequantize.self %823 : !torch.vtensor<[32,32,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3],f32>
    %825 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %826 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_143 = torch.constant.int 12
    %827 = torch.aten.item %825 : !torch.vtensor<[],f32> -> !torch.float
    %828 = torch.aten.item %826 : !torch.vtensor<[],si8> -> !torch.int
    %829 = torch.aten.quantize_per_tensor %21, %827, %828, %int12_143 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %830 = torch.aten.int_repr %829 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
    %831 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %832 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %833 = torch.aten.item %831 : !torch.vtensor<[],f32> -> !torch.float
    %834 = torch.aten.item %832 : !torch.vtensor<[],si8> -> !torch.int
    %835 = torch.aten._make_per_tensor_quantized_tensor %830, %833, %834 : !torch.vtensor<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %836 = torch.aten.dequantize.self %835 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
    %int1_144 = torch.constant.int 1
    %int1_145 = torch.constant.int 1
    %int1_146 = torch.constant.int 1
    %int1_147 = torch.constant.int 1
    %int1_148 = torch.constant.int 1
    %int1_149 = torch.constant.int 1
    %int0_150 = torch.constant.int 0
    %837 = torch.prim.ListConstruct %int1_144, %int1_145 : (!torch.int, !torch.int) -> !torch.list<int>
    %838 = torch.prim.ListConstruct %int1_146, %int1_147 : (!torch.int, !torch.int) -> !torch.list<int>
    %839 = torch.prim.ListConstruct %int1_148, %int1_149 : (!torch.int, !torch.int) -> !torch.list<int>
    %840 = torch.prim.ListConstruct %int0_150, %int0_150 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_151 = torch.constant.bool false
    %int1_152 = torch.constant.int 1
    %841 = torch.aten.convolution %812, %824, %836, %839, %837, %838, %false_151, %840, %int1_152 : !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[32,32,3,3],f32>, !torch.vtensor<[32],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,32,80,80],f32>
    %842 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %843 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_153 = torch.constant.int 12
    %844 = torch.aten.item %842 : !torch.vtensor<[],f32> -> !torch.float
    %845 = torch.aten.item %843 : !torch.vtensor<[],si8> -> !torch.int
    %846 = torch.aten.quantize_per_tensor %841, %844, %845, %int12_153 : !torch.vtensor<[1,32,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %847 = torch.aten.int_repr %846 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],si8>
    %848 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %849 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %850 = torch.aten.item %848 : !torch.vtensor<[],f32> -> !torch.float
    %851 = torch.aten.item %849 : !torch.vtensor<[],si8> -> !torch.int
    %852 = torch.aten._make_per_tensor_quantized_tensor %847, %850, %851 : !torch.vtensor<[1,32,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %853 = torch.aten.dequantize.self %852 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],f32>
    %854 = torch.aten.sigmoid %853 : !torch.vtensor<[1,32,80,80],f32> -> !torch.vtensor<[1,32,80,80],f32>
    %855 = torch.aten.mul.Tensor %853, %854 : !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[1,32,80,80],f32> -> !torch.vtensor<[1,32,80,80],f32>
    %856 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %857 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_154 = torch.constant.int 12
    %858 = torch.aten.item %856 : !torch.vtensor<[],f32> -> !torch.float
    %859 = torch.aten.item %857 : !torch.vtensor<[],si8> -> !torch.int
    %860 = torch.aten.quantize_per_tensor %855, %858, %859, %int12_154 : !torch.vtensor<[1,32,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %861 = torch.aten.int_repr %860 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],si8>
    %862 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %863 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %864 = torch.aten.item %862 : !torch.vtensor<[],f32> -> !torch.float
    %865 = torch.aten.item %863 : !torch.vtensor<[],si8> -> !torch.int
    %866 = torch.aten._make_per_tensor_quantized_tensor %861, %864, %865 : !torch.vtensor<[1,32,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %867 = torch.aten.dequantize.self %866 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],f32>
    %868 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %869 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_155 = 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 %22, %870, %871, %int12_155 : !torch.vtensor<[32,32,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,32,3,3],!torch.qint8>
    %873 = torch.aten.int_repr %872 : !torch.vtensor<[32,32,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3],si8>
    %874 = torch.vtensor.literal(dense<1.562500e-02> : 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<[32,32,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,32,3,3],!torch.qint8>
    %879 = torch.aten.dequantize.self %878 : !torch.vtensor<[32,32,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3],f32>
    %880 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %881 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_156 = 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 %23, %882, %883, %int12_156 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %885 = torch.aten.int_repr %884 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
    %886 = torch.vtensor.literal(dense<3.125000e-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<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %891 = torch.aten.dequantize.self %890 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
    %int1_157 = torch.constant.int 1
    %int1_158 = torch.constant.int 1
    %int1_159 = torch.constant.int 1
    %int1_160 = torch.constant.int 1
    %int1_161 = torch.constant.int 1
    %int1_162 = torch.constant.int 1
    %int0_163 = torch.constant.int 0
    %892 = torch.prim.ListConstruct %int1_157, %int1_158 : (!torch.int, !torch.int) -> !torch.list<int>
    %893 = torch.prim.ListConstruct %int1_159, %int1_160 : (!torch.int, !torch.int) -> !torch.list<int>
    %894 = torch.prim.ListConstruct %int1_161, %int1_162 : (!torch.int, !torch.int) -> !torch.list<int>
    %895 = torch.prim.ListConstruct %int0_163, %int0_163 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_164 = torch.constant.bool false
    %int1_165 = torch.constant.int 1
    %896 = torch.aten.convolution %867, %879, %891, %894, %892, %893, %false_164, %895, %int1_165 : !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[32,32,3,3],f32>, !torch.vtensor<[32],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,32,80,80],f32>
    %897 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %898 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_166 = torch.constant.int 12
    %899 = torch.aten.item %897 : !torch.vtensor<[],f32> -> !torch.float
    %900 = torch.aten.item %898 : !torch.vtensor<[],si8> -> !torch.int
    %901 = torch.aten.quantize_per_tensor %896, %899, %900, %int12_166 : !torch.vtensor<[1,32,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %902 = torch.aten.int_repr %901 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],si8>
    %903 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %904 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %905 = torch.aten.item %903 : !torch.vtensor<[],f32> -> !torch.float
    %906 = torch.aten.item %904 : !torch.vtensor<[],si8> -> !torch.int
    %907 = torch.aten._make_per_tensor_quantized_tensor %902, %905, %906 : !torch.vtensor<[1,32,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %908 = torch.aten.dequantize.self %907 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],f32>
    %909 = torch.aten.sigmoid %908 : !torch.vtensor<[1,32,80,80],f32> -> !torch.vtensor<[1,32,80,80],f32>
    %910 = torch.aten.mul.Tensor %908, %909 : !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[1,32,80,80],f32> -> !torch.vtensor<[1,32,80,80],f32>
    %911 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %912 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_167 = torch.constant.int 12
    %913 = torch.aten.item %911 : !torch.vtensor<[],f32> -> !torch.float
    %914 = torch.aten.item %912 : !torch.vtensor<[],si8> -> !torch.int
    %915 = torch.aten.quantize_per_tensor %910, %913, %914, %int12_167 : !torch.vtensor<[1,32,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %916 = torch.aten.int_repr %915 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],si8>
    %917 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %918 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %919 = torch.aten.item %917 : !torch.vtensor<[],f32> -> !torch.float
    %920 = torch.aten.item %918 : !torch.vtensor<[],si8> -> !torch.int
    %921 = torch.aten._make_per_tensor_quantized_tensor %916, %919, %920 : !torch.vtensor<[1,32,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %922 = torch.aten.dequantize.self %921 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],f32>
    %int1_168 = torch.constant.int 1
    %923 = torch.aten.add.Tensor %812, %922, %int1_168 : !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[1,32,80,80],f32>, !torch.int -> !torch.vtensor<[1,32,80,80],f32>
    %924 = torch.prim.ListConstruct %675, %689, %812, %923 : (!torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[1,32,80,80],f32>) -> !torch.list<vtensor>
    %int1_169 = torch.constant.int 1
    %925 = torch.aten.cat %924, %int1_169 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[1,128,80,80],f32>
    %926 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %927 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_170 = torch.constant.int 12
    %928 = torch.aten.item %926 : !torch.vtensor<[],f32> -> !torch.float
    %929 = torch.aten.item %927 : !torch.vtensor<[],si8> -> !torch.int
    %930 = torch.aten.quantize_per_tensor %925, %928, %929, %int12_170 : !torch.vtensor<[1,128,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,80,80],!torch.qint8>
    %931 = torch.aten.int_repr %930 : !torch.vtensor<[1,128,80,80],!torch.qint8> -> !torch.vtensor<[1,128,80,80],si8>
    %932 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %933 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %934 = torch.aten.item %932 : !torch.vtensor<[],f32> -> !torch.float
    %935 = torch.aten.item %933 : !torch.vtensor<[],si8> -> !torch.int
    %936 = torch.aten._make_per_tensor_quantized_tensor %931, %934, %935 : !torch.vtensor<[1,128,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,80,80],!torch.qint8>
    %937 = torch.aten.dequantize.self %936 : !torch.vtensor<[1,128,80,80],!torch.qint8> -> !torch.vtensor<[1,128,80,80],f32>
    %938 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %939 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_171 = torch.constant.int 12
    %940 = torch.aten.item %938 : !torch.vtensor<[],f32> -> !torch.float
    %941 = torch.aten.item %939 : !torch.vtensor<[],si8> -> !torch.int
    %942 = torch.aten.quantize_per_tensor %24, %940, %941, %int12_171 : !torch.vtensor<[64,128,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,128,1,1],!torch.qint8>
    %943 = torch.aten.int_repr %942 : !torch.vtensor<[64,128,1,1],!torch.qint8> -> !torch.vtensor<[64,128,1,1],si8>
    %944 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %945 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %946 = torch.aten.item %944 : !torch.vtensor<[],f32> -> !torch.float
    %947 = torch.aten.item %945 : !torch.vtensor<[],si8> -> !torch.int
    %948 = torch.aten._make_per_tensor_quantized_tensor %943, %946, %947 : !torch.vtensor<[64,128,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,128,1,1],!torch.qint8>
    %949 = torch.aten.dequantize.self %948 : !torch.vtensor<[64,128,1,1],!torch.qint8> -> !torch.vtensor<[64,128,1,1],f32>
    %950 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %951 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_172 = torch.constant.int 12
    %952 = torch.aten.item %950 : !torch.vtensor<[],f32> -> !torch.float
    %953 = torch.aten.item %951 : !torch.vtensor<[],si8> -> !torch.int
    %954 = torch.aten.quantize_per_tensor %25, %952, %953, %int12_172 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %955 = torch.aten.int_repr %954 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %956 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %957 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %958 = torch.aten.item %956 : !torch.vtensor<[],f32> -> !torch.float
    %959 = torch.aten.item %957 : !torch.vtensor<[],si8> -> !torch.int
    %960 = torch.aten._make_per_tensor_quantized_tensor %955, %958, %959 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %961 = torch.aten.dequantize.self %960 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int0_173 = torch.constant.int 0
    %int0_174 = torch.constant.int 0
    %int1_175 = torch.constant.int 1
    %int1_176 = torch.constant.int 1
    %int1_177 = torch.constant.int 1
    %int1_178 = torch.constant.int 1
    %int0_179 = torch.constant.int 0
    %962 = torch.prim.ListConstruct %int0_173, %int0_174 : (!torch.int, !torch.int) -> !torch.list<int>
    %963 = torch.prim.ListConstruct %int1_175, %int1_176 : (!torch.int, !torch.int) -> !torch.list<int>
    %964 = torch.prim.ListConstruct %int1_177, %int1_178 : (!torch.int, !torch.int) -> !torch.list<int>
    %965 = torch.prim.ListConstruct %int0_179, %int0_179 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_180 = torch.constant.bool false
    %int1_181 = torch.constant.int 1
    %966 = torch.aten.convolution %937, %949, %961, %964, %962, %963, %false_180, %965, %int1_181 : !torch.vtensor<[1,128,80,80],f32>, !torch.vtensor<[64,128,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,80,80],f32>
    %967 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %968 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_182 = torch.constant.int 12
    %969 = torch.aten.item %967 : !torch.vtensor<[],f32> -> !torch.float
    %970 = torch.aten.item %968 : !torch.vtensor<[],si8> -> !torch.int
    %971 = torch.aten.quantize_per_tensor %966, %969, %970, %int12_182 : !torch.vtensor<[1,64,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %972 = torch.aten.int_repr %971 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],si8>
    %973 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %974 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %975 = torch.aten.item %973 : !torch.vtensor<[],f32> -> !torch.float
    %976 = torch.aten.item %974 : !torch.vtensor<[],si8> -> !torch.int
    %977 = torch.aten._make_per_tensor_quantized_tensor %972, %975, %976 : !torch.vtensor<[1,64,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %978 = torch.aten.dequantize.self %977 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],f32>
    %979 = torch.aten.sigmoid %978 : !torch.vtensor<[1,64,80,80],f32> -> !torch.vtensor<[1,64,80,80],f32>
    %980 = torch.aten.mul.Tensor %978, %979 : !torch.vtensor<[1,64,80,80],f32>, !torch.vtensor<[1,64,80,80],f32> -> !torch.vtensor<[1,64,80,80],f32>
    %981 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %982 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_183 = torch.constant.int 12
    %983 = torch.aten.item %981 : !torch.vtensor<[],f32> -> !torch.float
    %984 = torch.aten.item %982 : !torch.vtensor<[],si8> -> !torch.int
    %985 = torch.aten.quantize_per_tensor %980, %983, %984, %int12_183 : !torch.vtensor<[1,64,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %986 = torch.aten.int_repr %985 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],si8>
    %987 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %988 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %989 = torch.aten.item %987 : !torch.vtensor<[],f32> -> !torch.float
    %990 = torch.aten.item %988 : !torch.vtensor<[],si8> -> !torch.int
    %991 = torch.aten._make_per_tensor_quantized_tensor %986, %989, %990 : !torch.vtensor<[1,64,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %992 = torch.aten.dequantize.self %991 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],f32>
    %993 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %994 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_184 = torch.constant.int 12
    %995 = torch.aten.item %993 : !torch.vtensor<[],f32> -> !torch.float
    %996 = torch.aten.item %994 : !torch.vtensor<[],si8> -> !torch.int
    %997 = torch.aten.quantize_per_tensor %26, %995, %996, %int12_184 : !torch.vtensor<[128,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,64,3,3],!torch.qint8>
    %998 = torch.aten.int_repr %997 : !torch.vtensor<[128,64,3,3],!torch.qint8> -> !torch.vtensor<[128,64,3,3],si8>
    %999 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1000 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1001 = torch.aten.item %999 : !torch.vtensor<[],f32> -> !torch.float
    %1002 = torch.aten.item %1000 : !torch.vtensor<[],si8> -> !torch.int
    %1003 = torch.aten._make_per_tensor_quantized_tensor %998, %1001, %1002 : !torch.vtensor<[128,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,64,3,3],!torch.qint8>
    %1004 = torch.aten.dequantize.self %1003 : !torch.vtensor<[128,64,3,3],!torch.qint8> -> !torch.vtensor<[128,64,3,3],f32>
    %1005 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1006 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_185 = torch.constant.int 12
    %1007 = torch.aten.item %1005 : !torch.vtensor<[],f32> -> !torch.float
    %1008 = torch.aten.item %1006 : !torch.vtensor<[],si8> -> !torch.int
    %1009 = torch.aten.quantize_per_tensor %27, %1007, %1008, %int12_185 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1010 = torch.aten.int_repr %1009 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %1011 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1012 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1013 = torch.aten.item %1011 : !torch.vtensor<[],f32> -> !torch.float
    %1014 = torch.aten.item %1012 : !torch.vtensor<[],si8> -> !torch.int
    %1015 = torch.aten._make_per_tensor_quantized_tensor %1010, %1013, %1014 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1016 = torch.aten.dequantize.self %1015 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %int1_186 = torch.constant.int 1
    %int1_187 = torch.constant.int 1
    %int1_188 = torch.constant.int 1
    %int1_189 = torch.constant.int 1
    %int2_190 = torch.constant.int 2
    %int2_191 = torch.constant.int 2
    %int0_192 = torch.constant.int 0
    %1017 = torch.prim.ListConstruct %int1_186, %int1_187 : (!torch.int, !torch.int) -> !torch.list<int>
    %1018 = torch.prim.ListConstruct %int1_188, %int1_189 : (!torch.int, !torch.int) -> !torch.list<int>
    %1019 = torch.prim.ListConstruct %int2_190, %int2_191 : (!torch.int, !torch.int) -> !torch.list<int>
    %1020 = torch.prim.ListConstruct %int0_192, %int0_192 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_193 = torch.constant.bool false
    %int1_194 = torch.constant.int 1
    %1021 = torch.aten.convolution %992, %1004, %1016, %1019, %1017, %1018, %false_193, %1020, %int1_194 : !torch.vtensor<[1,64,80,80],f32>, !torch.vtensor<[128,64,3,3],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,40,40],f32>
    %1022 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1023 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_195 = torch.constant.int 12
    %1024 = torch.aten.item %1022 : !torch.vtensor<[],f32> -> !torch.float
    %1025 = torch.aten.item %1023 : !torch.vtensor<[],si8> -> !torch.int
    %1026 = torch.aten.quantize_per_tensor %1021, %1024, %1025, %int12_195 : !torch.vtensor<[1,128,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %1027 = torch.aten.int_repr %1026 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],si8>
    %1028 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1029 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1030 = torch.aten.item %1028 : !torch.vtensor<[],f32> -> !torch.float
    %1031 = torch.aten.item %1029 : !torch.vtensor<[],si8> -> !torch.int
    %1032 = torch.aten._make_per_tensor_quantized_tensor %1027, %1030, %1031 : !torch.vtensor<[1,128,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %1033 = torch.aten.dequantize.self %1032 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],f32>
    %1034 = torch.aten.sigmoid %1033 : !torch.vtensor<[1,128,40,40],f32> -> !torch.vtensor<[1,128,40,40],f32>
    %1035 = torch.aten.mul.Tensor %1033, %1034 : !torch.vtensor<[1,128,40,40],f32>, !torch.vtensor<[1,128,40,40],f32> -> !torch.vtensor<[1,128,40,40],f32>
    %1036 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1037 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_196 = torch.constant.int 12
    %1038 = torch.aten.item %1036 : !torch.vtensor<[],f32> -> !torch.float
    %1039 = torch.aten.item %1037 : !torch.vtensor<[],si8> -> !torch.int
    %1040 = torch.aten.quantize_per_tensor %1035, %1038, %1039, %int12_196 : !torch.vtensor<[1,128,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %1041 = torch.aten.int_repr %1040 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],si8>
    %1042 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1043 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1044 = torch.aten.item %1042 : !torch.vtensor<[],f32> -> !torch.float
    %1045 = torch.aten.item %1043 : !torch.vtensor<[],si8> -> !torch.int
    %1046 = torch.aten._make_per_tensor_quantized_tensor %1041, %1044, %1045 : !torch.vtensor<[1,128,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %1047 = torch.aten.dequantize.self %1046 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],f32>
    %1048 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1049 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_197 = torch.constant.int 12
    %1050 = torch.aten.item %1048 : !torch.vtensor<[],f32> -> !torch.float
    %1051 = torch.aten.item %1049 : !torch.vtensor<[],si8> -> !torch.int
    %1052 = torch.aten.quantize_per_tensor %28, %1050, %1051, %int12_197 : !torch.vtensor<[128,128,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,128,1,1],!torch.qint8>
    %1053 = torch.aten.int_repr %1052 : !torch.vtensor<[128,128,1,1],!torch.qint8> -> !torch.vtensor<[128,128,1,1],si8>
    %1054 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1055 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1056 = torch.aten.item %1054 : !torch.vtensor<[],f32> -> !torch.float
    %1057 = torch.aten.item %1055 : !torch.vtensor<[],si8> -> !torch.int
    %1058 = torch.aten._make_per_tensor_quantized_tensor %1053, %1056, %1057 : !torch.vtensor<[128,128,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,128,1,1],!torch.qint8>
    %1059 = torch.aten.dequantize.self %1058 : !torch.vtensor<[128,128,1,1],!torch.qint8> -> !torch.vtensor<[128,128,1,1],f32>
    %1060 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1061 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_198 = torch.constant.int 12
    %1062 = torch.aten.item %1060 : !torch.vtensor<[],f32> -> !torch.float
    %1063 = torch.aten.item %1061 : !torch.vtensor<[],si8> -> !torch.int
    %1064 = torch.aten.quantize_per_tensor %29, %1062, %1063, %int12_198 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1065 = torch.aten.int_repr %1064 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %1066 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1067 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1068 = torch.aten.item %1066 : !torch.vtensor<[],f32> -> !torch.float
    %1069 = torch.aten.item %1067 : !torch.vtensor<[],si8> -> !torch.int
    %1070 = torch.aten._make_per_tensor_quantized_tensor %1065, %1068, %1069 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1071 = torch.aten.dequantize.self %1070 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %int0_199 = torch.constant.int 0
    %int0_200 = torch.constant.int 0
    %int1_201 = torch.constant.int 1
    %int1_202 = torch.constant.int 1
    %int1_203 = torch.constant.int 1
    %int1_204 = torch.constant.int 1
    %int0_205 = torch.constant.int 0
    %1072 = torch.prim.ListConstruct %int0_199, %int0_200 : (!torch.int, !torch.int) -> !torch.list<int>
    %1073 = torch.prim.ListConstruct %int1_201, %int1_202 : (!torch.int, !torch.int) -> !torch.list<int>
    %1074 = torch.prim.ListConstruct %int1_203, %int1_204 : (!torch.int, !torch.int) -> !torch.list<int>
    %1075 = torch.prim.ListConstruct %int0_205, %int0_205 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_206 = torch.constant.bool false
    %int1_207 = torch.constant.int 1
    %1076 = torch.aten.convolution %1047, %1059, %1071, %1074, %1072, %1073, %false_206, %1075, %int1_207 : !torch.vtensor<[1,128,40,40],f32>, !torch.vtensor<[128,128,1,1],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,40,40],f32>
    %1077 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1078 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_208 = torch.constant.int 12
    %1079 = torch.aten.item %1077 : !torch.vtensor<[],f32> -> !torch.float
    %1080 = torch.aten.item %1078 : !torch.vtensor<[],si8> -> !torch.int
    %1081 = torch.aten.quantize_per_tensor %1076, %1079, %1080, %int12_208 : !torch.vtensor<[1,128,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %1082 = torch.aten.int_repr %1081 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],si8>
    %1083 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1084 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1085 = torch.aten.item %1083 : !torch.vtensor<[],f32> -> !torch.float
    %1086 = torch.aten.item %1084 : !torch.vtensor<[],si8> -> !torch.int
    %1087 = torch.aten._make_per_tensor_quantized_tensor %1082, %1085, %1086 : !torch.vtensor<[1,128,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %1088 = torch.aten.dequantize.self %1087 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],f32>
    %1089 = torch.aten.sigmoid %1088 : !torch.vtensor<[1,128,40,40],f32> -> !torch.vtensor<[1,128,40,40],f32>
    %1090 = torch.aten.mul.Tensor %1088, %1089 : !torch.vtensor<[1,128,40,40],f32>, !torch.vtensor<[1,128,40,40],f32> -> !torch.vtensor<[1,128,40,40],f32>
    %1091 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1092 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_209 = torch.constant.int 12
    %1093 = torch.aten.item %1091 : !torch.vtensor<[],f32> -> !torch.float
    %1094 = torch.aten.item %1092 : !torch.vtensor<[],si8> -> !torch.int
    %1095 = torch.aten.quantize_per_tensor %1090, %1093, %1094, %int12_209 : !torch.vtensor<[1,128,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %1096 = torch.aten.int_repr %1095 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],si8>
    %1097 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1098 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1099 = torch.aten.item %1097 : !torch.vtensor<[],f32> -> !torch.float
    %1100 = torch.aten.item %1098 : !torch.vtensor<[],si8> -> !torch.int
    %1101 = torch.aten._make_per_tensor_quantized_tensor %1096, %1099, %1100 : !torch.vtensor<[1,128,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %1102 = torch.aten.dequantize.self %1101 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],f32>
    %1103 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1104 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1105 = torch.vtensor.literal(dense<64> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1106 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_210 = torch.constant.int 0
    %int0_211 = torch.constant.int 0
    %1107 = torch.prim.NumToTensor.Scalar %int0_211 : !torch.int -> !torch.vtensor<[1],si64>
    %1108 = torch.aten.index_select %1104, %int0_210, %1107 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1109 = torch.aten.item %1108 : !torch.vtensor<[1],si64> -> !torch.int
    %1110 = torch.aten.index_select %1105, %int0_210, %1107 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1111 = torch.aten.item %1110 : !torch.vtensor<[1],si64> -> !torch.int
    %1112 = torch.aten.index_select %1103, %int0_210, %1107 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1113 = torch.aten.item %1112 : !torch.vtensor<[1],si64> -> !torch.int
    %1114 = torch.aten.index_select %1106, %int0_210, %1107 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1115 = torch.aten.item %1114 : !torch.vtensor<[1],si64> -> !torch.int
    %1116 = torch.aten.slice.Tensor %1102, %1113, %1109, %1111, %1115 : !torch.vtensor<[1,128,40,40],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %1117 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1118 = torch.vtensor.literal(dense<64> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1119 = torch.vtensor.literal(dense<128> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1120 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_212 = torch.constant.int 0
    %int0_213 = torch.constant.int 0
    %1121 = torch.prim.NumToTensor.Scalar %int0_213 : !torch.int -> !torch.vtensor<[1],si64>
    %1122 = torch.aten.index_select %1118, %int0_212, %1121 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1123 = torch.aten.item %1122 : !torch.vtensor<[1],si64> -> !torch.int
    %1124 = torch.aten.index_select %1119, %int0_212, %1121 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1125 = torch.aten.item %1124 : !torch.vtensor<[1],si64> -> !torch.int
    %1126 = torch.aten.index_select %1117, %int0_212, %1121 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1127 = torch.aten.item %1126 : !torch.vtensor<[1],si64> -> !torch.int
    %1128 = torch.aten.index_select %1120, %int0_212, %1121 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1129 = torch.aten.item %1128 : !torch.vtensor<[1],si64> -> !torch.int
    %1130 = torch.aten.slice.Tensor %1102, %1127, %1123, %1125, %1129 : !torch.vtensor<[1,128,40,40],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %1131 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1132 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_214 = torch.constant.int 12
    %1133 = torch.aten.item %1131 : !torch.vtensor<[],f32> -> !torch.float
    %1134 = torch.aten.item %1132 : !torch.vtensor<[],si8> -> !torch.int
    %1135 = torch.aten.quantize_per_tensor %30, %1133, %1134, %int12_214 : !torch.vtensor<[64,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %1136 = torch.aten.int_repr %1135 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],si8>
    %1137 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1138 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1139 = torch.aten.item %1137 : !torch.vtensor<[],f32> -> !torch.float
    %1140 = torch.aten.item %1138 : !torch.vtensor<[],si8> -> !torch.int
    %1141 = torch.aten._make_per_tensor_quantized_tensor %1136, %1139, %1140 : !torch.vtensor<[64,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %1142 = torch.aten.dequantize.self %1141 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],f32>
    %1143 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1144 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_215 = torch.constant.int 12
    %1145 = torch.aten.item %1143 : !torch.vtensor<[],f32> -> !torch.float
    %1146 = torch.aten.item %1144 : !torch.vtensor<[],si8> -> !torch.int
    %1147 = torch.aten.quantize_per_tensor %31, %1145, %1146, %int12_215 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %1148 = torch.aten.int_repr %1147 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %1149 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1150 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1151 = torch.aten.item %1149 : !torch.vtensor<[],f32> -> !torch.float
    %1152 = torch.aten.item %1150 : !torch.vtensor<[],si8> -> !torch.int
    %1153 = torch.aten._make_per_tensor_quantized_tensor %1148, %1151, %1152 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %1154 = torch.aten.dequantize.self %1153 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int1_216 = torch.constant.int 1
    %int1_217 = torch.constant.int 1
    %int1_218 = torch.constant.int 1
    %int1_219 = torch.constant.int 1
    %int1_220 = torch.constant.int 1
    %int1_221 = torch.constant.int 1
    %int0_222 = torch.constant.int 0
    %1155 = torch.prim.ListConstruct %int1_216, %int1_217 : (!torch.int, !torch.int) -> !torch.list<int>
    %1156 = torch.prim.ListConstruct %int1_218, %int1_219 : (!torch.int, !torch.int) -> !torch.list<int>
    %1157 = torch.prim.ListConstruct %int1_220, %int1_221 : (!torch.int, !torch.int) -> !torch.list<int>
    %1158 = torch.prim.ListConstruct %int0_222, %int0_222 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_223 = torch.constant.bool false
    %int1_224 = torch.constant.int 1
    %1159 = torch.aten.convolution %1130, %1142, %1154, %1157, %1155, %1156, %false_223, %1158, %int1_224 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[64,64,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %1160 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1161 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_225 = torch.constant.int 12
    %1162 = torch.aten.item %1160 : !torch.vtensor<[],f32> -> !torch.float
    %1163 = torch.aten.item %1161 : !torch.vtensor<[],si8> -> !torch.int
    %1164 = torch.aten.quantize_per_tensor %1159, %1162, %1163, %int12_225 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1165 = torch.aten.int_repr %1164 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %1166 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1167 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1168 = torch.aten.item %1166 : !torch.vtensor<[],f32> -> !torch.float
    %1169 = torch.aten.item %1167 : !torch.vtensor<[],si8> -> !torch.int
    %1170 = torch.aten._make_per_tensor_quantized_tensor %1165, %1168, %1169 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1171 = torch.aten.dequantize.self %1170 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %1172 = torch.aten.sigmoid %1171 : !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %1173 = torch.aten.mul.Tensor %1171, %1172 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %1174 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1175 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_226 = torch.constant.int 12
    %1176 = torch.aten.item %1174 : !torch.vtensor<[],f32> -> !torch.float
    %1177 = torch.aten.item %1175 : !torch.vtensor<[],si8> -> !torch.int
    %1178 = torch.aten.quantize_per_tensor %1173, %1176, %1177, %int12_226 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1179 = torch.aten.int_repr %1178 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %1180 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1181 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1182 = torch.aten.item %1180 : !torch.vtensor<[],f32> -> !torch.float
    %1183 = torch.aten.item %1181 : !torch.vtensor<[],si8> -> !torch.int
    %1184 = torch.aten._make_per_tensor_quantized_tensor %1179, %1182, %1183 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1185 = torch.aten.dequantize.self %1184 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %1186 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1187 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_227 = torch.constant.int 12
    %1188 = torch.aten.item %1186 : !torch.vtensor<[],f32> -> !torch.float
    %1189 = torch.aten.item %1187 : !torch.vtensor<[],si8> -> !torch.int
    %1190 = torch.aten.quantize_per_tensor %32, %1188, %1189, %int12_227 : !torch.vtensor<[64,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %1191 = torch.aten.int_repr %1190 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],si8>
    %1192 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1193 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1194 = torch.aten.item %1192 : !torch.vtensor<[],f32> -> !torch.float
    %1195 = torch.aten.item %1193 : !torch.vtensor<[],si8> -> !torch.int
    %1196 = torch.aten._make_per_tensor_quantized_tensor %1191, %1194, %1195 : !torch.vtensor<[64,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %1197 = torch.aten.dequantize.self %1196 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],f32>
    %1198 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1199 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_228 = torch.constant.int 12
    %1200 = torch.aten.item %1198 : !torch.vtensor<[],f32> -> !torch.float
    %1201 = torch.aten.item %1199 : !torch.vtensor<[],si8> -> !torch.int
    %1202 = torch.aten.quantize_per_tensor %33, %1200, %1201, %int12_228 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %1203 = torch.aten.int_repr %1202 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %1204 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1205 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1206 = torch.aten.item %1204 : !torch.vtensor<[],f32> -> !torch.float
    %1207 = torch.aten.item %1205 : !torch.vtensor<[],si8> -> !torch.int
    %1208 = torch.aten._make_per_tensor_quantized_tensor %1203, %1206, %1207 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %1209 = torch.aten.dequantize.self %1208 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int1_229 = torch.constant.int 1
    %int1_230 = torch.constant.int 1
    %int1_231 = torch.constant.int 1
    %int1_232 = torch.constant.int 1
    %int1_233 = torch.constant.int 1
    %int1_234 = torch.constant.int 1
    %int0_235 = torch.constant.int 0
    %1210 = torch.prim.ListConstruct %int1_229, %int1_230 : (!torch.int, !torch.int) -> !torch.list<int>
    %1211 = torch.prim.ListConstruct %int1_231, %int1_232 : (!torch.int, !torch.int) -> !torch.list<int>
    %1212 = torch.prim.ListConstruct %int1_233, %int1_234 : (!torch.int, !torch.int) -> !torch.list<int>
    %1213 = torch.prim.ListConstruct %int0_235, %int0_235 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_236 = torch.constant.bool false
    %int1_237 = torch.constant.int 1
    %1214 = torch.aten.convolution %1185, %1197, %1209, %1212, %1210, %1211, %false_236, %1213, %int1_237 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[64,64,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %1215 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1216 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_238 = torch.constant.int 12
    %1217 = torch.aten.item %1215 : !torch.vtensor<[],f32> -> !torch.float
    %1218 = torch.aten.item %1216 : !torch.vtensor<[],si8> -> !torch.int
    %1219 = torch.aten.quantize_per_tensor %1214, %1217, %1218, %int12_238 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1220 = torch.aten.int_repr %1219 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %1221 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1222 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1223 = torch.aten.item %1221 : !torch.vtensor<[],f32> -> !torch.float
    %1224 = torch.aten.item %1222 : !torch.vtensor<[],si8> -> !torch.int
    %1225 = torch.aten._make_per_tensor_quantized_tensor %1220, %1223, %1224 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1226 = torch.aten.dequantize.self %1225 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %1227 = torch.aten.sigmoid %1226 : !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %1228 = torch.aten.mul.Tensor %1226, %1227 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %1229 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1230 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_239 = torch.constant.int 12
    %1231 = torch.aten.item %1229 : !torch.vtensor<[],f32> -> !torch.float
    %1232 = torch.aten.item %1230 : !torch.vtensor<[],si8> -> !torch.int
    %1233 = torch.aten.quantize_per_tensor %1228, %1231, %1232, %int12_239 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1234 = torch.aten.int_repr %1233 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %1235 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1236 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1237 = torch.aten.item %1235 : !torch.vtensor<[],f32> -> !torch.float
    %1238 = torch.aten.item %1236 : !torch.vtensor<[],si8> -> !torch.int
    %1239 = torch.aten._make_per_tensor_quantized_tensor %1234, %1237, %1238 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1240 = torch.aten.dequantize.self %1239 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %int1_240 = torch.constant.int 1
    %1241 = torch.aten.add.Tensor %1130, %1240, %int1_240 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32>, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %1242 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1243 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_241 = torch.constant.int 12
    %1244 = torch.aten.item %1242 : !torch.vtensor<[],f32> -> !torch.float
    %1245 = torch.aten.item %1243 : !torch.vtensor<[],si8> -> !torch.int
    %1246 = torch.aten.quantize_per_tensor %1241, %1244, %1245, %int12_241 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1247 = torch.aten.int_repr %1246 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %1248 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1249 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1250 = torch.aten.item %1248 : !torch.vtensor<[],f32> -> !torch.float
    %1251 = torch.aten.item %1249 : !torch.vtensor<[],si8> -> !torch.int
    %1252 = torch.aten._make_per_tensor_quantized_tensor %1247, %1250, %1251 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1253 = torch.aten.dequantize.self %1252 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %1254 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1255 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_242 = torch.constant.int 12
    %1256 = torch.aten.item %1254 : !torch.vtensor<[],f32> -> !torch.float
    %1257 = torch.aten.item %1255 : !torch.vtensor<[],si8> -> !torch.int
    %1258 = torch.aten.quantize_per_tensor %34, %1256, %1257, %int12_242 : !torch.vtensor<[64,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %1259 = torch.aten.int_repr %1258 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],si8>
    %1260 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1261 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1262 = torch.aten.item %1260 : !torch.vtensor<[],f32> -> !torch.float
    %1263 = torch.aten.item %1261 : !torch.vtensor<[],si8> -> !torch.int
    %1264 = torch.aten._make_per_tensor_quantized_tensor %1259, %1262, %1263 : !torch.vtensor<[64,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %1265 = torch.aten.dequantize.self %1264 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],f32>
    %1266 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1267 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_243 = torch.constant.int 12
    %1268 = torch.aten.item %1266 : !torch.vtensor<[],f32> -> !torch.float
    %1269 = torch.aten.item %1267 : !torch.vtensor<[],si8> -> !torch.int
    %1270 = torch.aten.quantize_per_tensor %35, %1268, %1269, %int12_243 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %1271 = torch.aten.int_repr %1270 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %1272 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1273 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1274 = torch.aten.item %1272 : !torch.vtensor<[],f32> -> !torch.float
    %1275 = torch.aten.item %1273 : !torch.vtensor<[],si8> -> !torch.int
    %1276 = torch.aten._make_per_tensor_quantized_tensor %1271, %1274, %1275 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %1277 = torch.aten.dequantize.self %1276 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %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
    %int1_249 = torch.constant.int 1
    %int0_250 = torch.constant.int 0
    %1278 = torch.prim.ListConstruct %int1_244, %int1_245 : (!torch.int, !torch.int) -> !torch.list<int>
    %1279 = torch.prim.ListConstruct %int1_246, %int1_247 : (!torch.int, !torch.int) -> !torch.list<int>
    %1280 = torch.prim.ListConstruct %int1_248, %int1_249 : (!torch.int, !torch.int) -> !torch.list<int>
    %1281 = torch.prim.ListConstruct %int0_250, %int0_250 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_251 = torch.constant.bool false
    %int1_252 = torch.constant.int 1
    %1282 = torch.aten.convolution %1253, %1265, %1277, %1280, %1278, %1279, %false_251, %1281, %int1_252 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[64,64,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %1283 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1284 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_253 = torch.constant.int 12
    %1285 = torch.aten.item %1283 : !torch.vtensor<[],f32> -> !torch.float
    %1286 = torch.aten.item %1284 : !torch.vtensor<[],si8> -> !torch.int
    %1287 = torch.aten.quantize_per_tensor %1282, %1285, %1286, %int12_253 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1288 = torch.aten.int_repr %1287 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %1289 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1290 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1291 = torch.aten.item %1289 : !torch.vtensor<[],f32> -> !torch.float
    %1292 = torch.aten.item %1290 : !torch.vtensor<[],si8> -> !torch.int
    %1293 = torch.aten._make_per_tensor_quantized_tensor %1288, %1291, %1292 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1294 = torch.aten.dequantize.self %1293 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %1295 = torch.aten.sigmoid %1294 : !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %1296 = torch.aten.mul.Tensor %1294, %1295 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %1297 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1298 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_254 = torch.constant.int 12
    %1299 = torch.aten.item %1297 : !torch.vtensor<[],f32> -> !torch.float
    %1300 = torch.aten.item %1298 : !torch.vtensor<[],si8> -> !torch.int
    %1301 = torch.aten.quantize_per_tensor %1296, %1299, %1300, %int12_254 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1302 = torch.aten.int_repr %1301 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %1303 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1304 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1305 = torch.aten.item %1303 : !torch.vtensor<[],f32> -> !torch.float
    %1306 = torch.aten.item %1304 : !torch.vtensor<[],si8> -> !torch.int
    %1307 = torch.aten._make_per_tensor_quantized_tensor %1302, %1305, %1306 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1308 = torch.aten.dequantize.self %1307 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %1309 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1310 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_255 = torch.constant.int 12
    %1311 = torch.aten.item %1309 : !torch.vtensor<[],f32> -> !torch.float
    %1312 = torch.aten.item %1310 : !torch.vtensor<[],si8> -> !torch.int
    %1313 = torch.aten.quantize_per_tensor %36, %1311, %1312, %int12_255 : !torch.vtensor<[64,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %1314 = torch.aten.int_repr %1313 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],si8>
    %1315 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1316 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1317 = torch.aten.item %1315 : !torch.vtensor<[],f32> -> !torch.float
    %1318 = torch.aten.item %1316 : !torch.vtensor<[],si8> -> !torch.int
    %1319 = torch.aten._make_per_tensor_quantized_tensor %1314, %1317, %1318 : !torch.vtensor<[64,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %1320 = torch.aten.dequantize.self %1319 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],f32>
    %1321 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1322 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_256 = torch.constant.int 12
    %1323 = torch.aten.item %1321 : !torch.vtensor<[],f32> -> !torch.float
    %1324 = torch.aten.item %1322 : !torch.vtensor<[],si8> -> !torch.int
    %1325 = torch.aten.quantize_per_tensor %37, %1323, %1324, %int12_256 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %1326 = torch.aten.int_repr %1325 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %1327 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1328 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1329 = torch.aten.item %1327 : !torch.vtensor<[],f32> -> !torch.float
    %1330 = torch.aten.item %1328 : !torch.vtensor<[],si8> -> !torch.int
    %1331 = torch.aten._make_per_tensor_quantized_tensor %1326, %1329, %1330 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %1332 = torch.aten.dequantize.self %1331 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int1_257 = torch.constant.int 1
    %int1_258 = torch.constant.int 1
    %int1_259 = torch.constant.int 1
    %int1_260 = torch.constant.int 1
    %int1_261 = torch.constant.int 1
    %int1_262 = torch.constant.int 1
    %int0_263 = torch.constant.int 0
    %1333 = torch.prim.ListConstruct %int1_257, %int1_258 : (!torch.int, !torch.int) -> !torch.list<int>
    %1334 = torch.prim.ListConstruct %int1_259, %int1_260 : (!torch.int, !torch.int) -> !torch.list<int>
    %1335 = torch.prim.ListConstruct %int1_261, %int1_262 : (!torch.int, !torch.int) -> !torch.list<int>
    %1336 = torch.prim.ListConstruct %int0_263, %int0_263 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_264 = torch.constant.bool false
    %int1_265 = torch.constant.int 1
    %1337 = torch.aten.convolution %1308, %1320, %1332, %1335, %1333, %1334, %false_264, %1336, %int1_265 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[64,64,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %1338 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1339 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_266 = torch.constant.int 12
    %1340 = torch.aten.item %1338 : !torch.vtensor<[],f32> -> !torch.float
    %1341 = torch.aten.item %1339 : !torch.vtensor<[],si8> -> !torch.int
    %1342 = torch.aten.quantize_per_tensor %1337, %1340, %1341, %int12_266 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1343 = torch.aten.int_repr %1342 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %1344 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1345 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1346 = torch.aten.item %1344 : !torch.vtensor<[],f32> -> !torch.float
    %1347 = torch.aten.item %1345 : !torch.vtensor<[],si8> -> !torch.int
    %1348 = torch.aten._make_per_tensor_quantized_tensor %1343, %1346, %1347 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1349 = torch.aten.dequantize.self %1348 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %1350 = torch.aten.sigmoid %1349 : !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %1351 = torch.aten.mul.Tensor %1349, %1350 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %1352 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1353 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_267 = torch.constant.int 12
    %1354 = torch.aten.item %1352 : !torch.vtensor<[],f32> -> !torch.float
    %1355 = torch.aten.item %1353 : !torch.vtensor<[],si8> -> !torch.int
    %1356 = torch.aten.quantize_per_tensor %1351, %1354, %1355, %int12_267 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1357 = torch.aten.int_repr %1356 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %1358 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1359 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1360 = torch.aten.item %1358 : !torch.vtensor<[],f32> -> !torch.float
    %1361 = torch.aten.item %1359 : !torch.vtensor<[],si8> -> !torch.int
    %1362 = torch.aten._make_per_tensor_quantized_tensor %1357, %1360, %1361 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %1363 = torch.aten.dequantize.self %1362 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %int1_268 = torch.constant.int 1
    %1364 = torch.aten.add.Tensor %1253, %1363, %int1_268 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32>, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %1365 = torch.prim.ListConstruct %1116, %1130, %1253, %1364 : (!torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32>) -> !torch.list<vtensor>
    %int1_269 = torch.constant.int 1
    %1366 = torch.aten.cat %1365, %int1_269 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[1,256,40,40],f32>
    %1367 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1368 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_270 = torch.constant.int 12
    %1369 = torch.aten.item %1367 : !torch.vtensor<[],f32> -> !torch.float
    %1370 = torch.aten.item %1368 : !torch.vtensor<[],si8> -> !torch.int
    %1371 = torch.aten.quantize_per_tensor %1366, %1369, %1370, %int12_270 : !torch.vtensor<[1,256,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,256,40,40],!torch.qint8>
    %1372 = torch.aten.int_repr %1371 : !torch.vtensor<[1,256,40,40],!torch.qint8> -> !torch.vtensor<[1,256,40,40],si8>
    %1373 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1374 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1375 = torch.aten.item %1373 : !torch.vtensor<[],f32> -> !torch.float
    %1376 = torch.aten.item %1374 : !torch.vtensor<[],si8> -> !torch.int
    %1377 = torch.aten._make_per_tensor_quantized_tensor %1372, %1375, %1376 : !torch.vtensor<[1,256,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,256,40,40],!torch.qint8>
    %1378 = torch.aten.dequantize.self %1377 : !torch.vtensor<[1,256,40,40],!torch.qint8> -> !torch.vtensor<[1,256,40,40],f32>
    %1379 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1380 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_271 = torch.constant.int 12
    %1381 = torch.aten.item %1379 : !torch.vtensor<[],f32> -> !torch.float
    %1382 = torch.aten.item %1380 : !torch.vtensor<[],si8> -> !torch.int
    %1383 = torch.aten.quantize_per_tensor %38, %1381, %1382, %int12_271 : !torch.vtensor<[128,256,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,256,1,1],!torch.qint8>
    %1384 = torch.aten.int_repr %1383 : !torch.vtensor<[128,256,1,1],!torch.qint8> -> !torch.vtensor<[128,256,1,1],si8>
    %1385 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1386 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1387 = torch.aten.item %1385 : !torch.vtensor<[],f32> -> !torch.float
    %1388 = torch.aten.item %1386 : !torch.vtensor<[],si8> -> !torch.int
    %1389 = torch.aten._make_per_tensor_quantized_tensor %1384, %1387, %1388 : !torch.vtensor<[128,256,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,256,1,1],!torch.qint8>
    %1390 = torch.aten.dequantize.self %1389 : !torch.vtensor<[128,256,1,1],!torch.qint8> -> !torch.vtensor<[128,256,1,1],f32>
    %1391 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1392 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_272 = torch.constant.int 12
    %1393 = torch.aten.item %1391 : !torch.vtensor<[],f32> -> !torch.float
    %1394 = torch.aten.item %1392 : !torch.vtensor<[],si8> -> !torch.int
    %1395 = torch.aten.quantize_per_tensor %39, %1393, %1394, %int12_272 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1396 = torch.aten.int_repr %1395 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %1397 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1398 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1399 = torch.aten.item %1397 : !torch.vtensor<[],f32> -> !torch.float
    %1400 = torch.aten.item %1398 : !torch.vtensor<[],si8> -> !torch.int
    %1401 = torch.aten._make_per_tensor_quantized_tensor %1396, %1399, %1400 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1402 = torch.aten.dequantize.self %1401 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %int0_273 = torch.constant.int 0
    %int0_274 = torch.constant.int 0
    %int1_275 = torch.constant.int 1
    %int1_276 = torch.constant.int 1
    %int1_277 = torch.constant.int 1
    %int1_278 = torch.constant.int 1
    %int0_279 = torch.constant.int 0
    %1403 = torch.prim.ListConstruct %int0_273, %int0_274 : (!torch.int, !torch.int) -> !torch.list<int>
    %1404 = torch.prim.ListConstruct %int1_275, %int1_276 : (!torch.int, !torch.int) -> !torch.list<int>
    %1405 = torch.prim.ListConstruct %int1_277, %int1_278 : (!torch.int, !torch.int) -> !torch.list<int>
    %1406 = torch.prim.ListConstruct %int0_279, %int0_279 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_280 = torch.constant.bool false
    %int1_281 = torch.constant.int 1
    %1407 = torch.aten.convolution %1378, %1390, %1402, %1405, %1403, %1404, %false_280, %1406, %int1_281 : !torch.vtensor<[1,256,40,40],f32>, !torch.vtensor<[128,256,1,1],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,40,40],f32>
    %1408 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1409 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_282 = torch.constant.int 12
    %1410 = torch.aten.item %1408 : !torch.vtensor<[],f32> -> !torch.float
    %1411 = torch.aten.item %1409 : !torch.vtensor<[],si8> -> !torch.int
    %1412 = torch.aten.quantize_per_tensor %1407, %1410, %1411, %int12_282 : !torch.vtensor<[1,128,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %1413 = torch.aten.int_repr %1412 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],si8>
    %1414 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1415 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1416 = torch.aten.item %1414 : !torch.vtensor<[],f32> -> !torch.float
    %1417 = torch.aten.item %1415 : !torch.vtensor<[],si8> -> !torch.int
    %1418 = torch.aten._make_per_tensor_quantized_tensor %1413, %1416, %1417 : !torch.vtensor<[1,128,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %1419 = torch.aten.dequantize.self %1418 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],f32>
    %1420 = torch.aten.sigmoid %1419 : !torch.vtensor<[1,128,40,40],f32> -> !torch.vtensor<[1,128,40,40],f32>
    %1421 = torch.aten.mul.Tensor %1419, %1420 : !torch.vtensor<[1,128,40,40],f32>, !torch.vtensor<[1,128,40,40],f32> -> !torch.vtensor<[1,128,40,40],f32>
    %1422 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1423 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_283 = torch.constant.int 12
    %1424 = torch.aten.item %1422 : !torch.vtensor<[],f32> -> !torch.float
    %1425 = torch.aten.item %1423 : !torch.vtensor<[],si8> -> !torch.int
    %1426 = torch.aten.quantize_per_tensor %1421, %1424, %1425, %int12_283 : !torch.vtensor<[1,128,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %1427 = torch.aten.int_repr %1426 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],si8>
    %1428 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1429 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1430 = torch.aten.item %1428 : !torch.vtensor<[],f32> -> !torch.float
    %1431 = torch.aten.item %1429 : !torch.vtensor<[],si8> -> !torch.int
    %1432 = torch.aten._make_per_tensor_quantized_tensor %1427, %1430, %1431 : !torch.vtensor<[1,128,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %1433 = torch.aten.dequantize.self %1432 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],f32>
    %1434 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1435 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_284 = torch.constant.int 12
    %1436 = torch.aten.item %1434 : !torch.vtensor<[],f32> -> !torch.float
    %1437 = torch.aten.item %1435 : !torch.vtensor<[],si8> -> !torch.int
    %1438 = torch.aten.quantize_per_tensor %40, %1436, %1437, %int12_284 : !torch.vtensor<[256,128,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,128,3,3],!torch.qint8>
    %1439 = torch.aten.int_repr %1438 : !torch.vtensor<[256,128,3,3],!torch.qint8> -> !torch.vtensor<[256,128,3,3],si8>
    %1440 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1441 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1442 = torch.aten.item %1440 : !torch.vtensor<[],f32> -> !torch.float
    %1443 = torch.aten.item %1441 : !torch.vtensor<[],si8> -> !torch.int
    %1444 = torch.aten._make_per_tensor_quantized_tensor %1439, %1442, %1443 : !torch.vtensor<[256,128,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,128,3,3],!torch.qint8>
    %1445 = torch.aten.dequantize.self %1444 : !torch.vtensor<[256,128,3,3],!torch.qint8> -> !torch.vtensor<[256,128,3,3],f32>
    %1446 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1447 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_285 = torch.constant.int 12
    %1448 = torch.aten.item %1446 : !torch.vtensor<[],f32> -> !torch.float
    %1449 = torch.aten.item %1447 : !torch.vtensor<[],si8> -> !torch.int
    %1450 = torch.aten.quantize_per_tensor %41, %1448, %1449, %int12_285 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
    %1451 = torch.aten.int_repr %1450 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
    %1452 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1453 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1454 = torch.aten.item %1452 : !torch.vtensor<[],f32> -> !torch.float
    %1455 = torch.aten.item %1453 : !torch.vtensor<[],si8> -> !torch.int
    %1456 = torch.aten._make_per_tensor_quantized_tensor %1451, %1454, %1455 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
    %1457 = torch.aten.dequantize.self %1456 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
    %int1_286 = torch.constant.int 1
    %int1_287 = torch.constant.int 1
    %int1_288 = torch.constant.int 1
    %int1_289 = torch.constant.int 1
    %int2_290 = torch.constant.int 2
    %int2_291 = torch.constant.int 2
    %int0_292 = torch.constant.int 0
    %1458 = torch.prim.ListConstruct %int1_286, %int1_287 : (!torch.int, !torch.int) -> !torch.list<int>
    %1459 = torch.prim.ListConstruct %int1_288, %int1_289 : (!torch.int, !torch.int) -> !torch.list<int>
    %1460 = torch.prim.ListConstruct %int2_290, %int2_291 : (!torch.int, !torch.int) -> !torch.list<int>
    %1461 = torch.prim.ListConstruct %int0_292, %int0_292 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_293 = torch.constant.bool false
    %int1_294 = torch.constant.int 1
    %1462 = torch.aten.convolution %1433, %1445, %1457, %1460, %1458, %1459, %false_293, %1461, %int1_294 : !torch.vtensor<[1,128,40,40],f32>, !torch.vtensor<[256,128,3,3],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,256,20,20],f32>
    %1463 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1464 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_295 = torch.constant.int 12
    %1465 = torch.aten.item %1463 : !torch.vtensor<[],f32> -> !torch.float
    %1466 = torch.aten.item %1464 : !torch.vtensor<[],si8> -> !torch.int
    %1467 = torch.aten.quantize_per_tensor %1462, %1465, %1466, %int12_295 : !torch.vtensor<[1,256,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %1468 = torch.aten.int_repr %1467 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],si8>
    %1469 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1470 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1471 = torch.aten.item %1469 : !torch.vtensor<[],f32> -> !torch.float
    %1472 = torch.aten.item %1470 : !torch.vtensor<[],si8> -> !torch.int
    %1473 = torch.aten._make_per_tensor_quantized_tensor %1468, %1471, %1472 : !torch.vtensor<[1,256,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %1474 = torch.aten.dequantize.self %1473 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],f32>
    %1475 = torch.aten.sigmoid %1474 : !torch.vtensor<[1,256,20,20],f32> -> !torch.vtensor<[1,256,20,20],f32>
    %1476 = torch.aten.mul.Tensor %1474, %1475 : !torch.vtensor<[1,256,20,20],f32>, !torch.vtensor<[1,256,20,20],f32> -> !torch.vtensor<[1,256,20,20],f32>
    %1477 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1478 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_296 = torch.constant.int 12
    %1479 = torch.aten.item %1477 : !torch.vtensor<[],f32> -> !torch.float
    %1480 = torch.aten.item %1478 : !torch.vtensor<[],si8> -> !torch.int
    %1481 = torch.aten.quantize_per_tensor %1476, %1479, %1480, %int12_296 : !torch.vtensor<[1,256,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %1482 = torch.aten.int_repr %1481 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],si8>
    %1483 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1484 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1485 = torch.aten.item %1483 : !torch.vtensor<[],f32> -> !torch.float
    %1486 = torch.aten.item %1484 : !torch.vtensor<[],si8> -> !torch.int
    %1487 = torch.aten._make_per_tensor_quantized_tensor %1482, %1485, %1486 : !torch.vtensor<[1,256,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %1488 = torch.aten.dequantize.self %1487 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],f32>
    %1489 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1490 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_297 = torch.constant.int 12
    %1491 = torch.aten.item %1489 : !torch.vtensor<[],f32> -> !torch.float
    %1492 = torch.aten.item %1490 : !torch.vtensor<[],si8> -> !torch.int
    %1493 = torch.aten.quantize_per_tensor %42, %1491, %1492, %int12_297 : !torch.vtensor<[256,256,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,256,1,1],!torch.qint8>
    %1494 = torch.aten.int_repr %1493 : !torch.vtensor<[256,256,1,1],!torch.qint8> -> !torch.vtensor<[256,256,1,1],si8>
    %1495 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1496 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1497 = torch.aten.item %1495 : !torch.vtensor<[],f32> -> !torch.float
    %1498 = torch.aten.item %1496 : !torch.vtensor<[],si8> -> !torch.int
    %1499 = torch.aten._make_per_tensor_quantized_tensor %1494, %1497, %1498 : !torch.vtensor<[256,256,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,256,1,1],!torch.qint8>
    %1500 = torch.aten.dequantize.self %1499 : !torch.vtensor<[256,256,1,1],!torch.qint8> -> !torch.vtensor<[256,256,1,1],f32>
    %1501 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1502 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_298 = torch.constant.int 12
    %1503 = torch.aten.item %1501 : !torch.vtensor<[],f32> -> !torch.float
    %1504 = torch.aten.item %1502 : !torch.vtensor<[],si8> -> !torch.int
    %1505 = torch.aten.quantize_per_tensor %43, %1503, %1504, %int12_298 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
    %1506 = torch.aten.int_repr %1505 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
    %1507 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1508 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1509 = torch.aten.item %1507 : !torch.vtensor<[],f32> -> !torch.float
    %1510 = torch.aten.item %1508 : !torch.vtensor<[],si8> -> !torch.int
    %1511 = torch.aten._make_per_tensor_quantized_tensor %1506, %1509, %1510 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
    %1512 = torch.aten.dequantize.self %1511 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
    %int0_299 = torch.constant.int 0
    %int0_300 = torch.constant.int 0
    %int1_301 = torch.constant.int 1
    %int1_302 = torch.constant.int 1
    %int1_303 = torch.constant.int 1
    %int1_304 = torch.constant.int 1
    %int0_305 = torch.constant.int 0
    %1513 = torch.prim.ListConstruct %int0_299, %int0_300 : (!torch.int, !torch.int) -> !torch.list<int>
    %1514 = torch.prim.ListConstruct %int1_301, %int1_302 : (!torch.int, !torch.int) -> !torch.list<int>
    %1515 = torch.prim.ListConstruct %int1_303, %int1_304 : (!torch.int, !torch.int) -> !torch.list<int>
    %1516 = torch.prim.ListConstruct %int0_305, %int0_305 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_306 = torch.constant.bool false
    %int1_307 = torch.constant.int 1
    %1517 = torch.aten.convolution %1488, %1500, %1512, %1515, %1513, %1514, %false_306, %1516, %int1_307 : !torch.vtensor<[1,256,20,20],f32>, !torch.vtensor<[256,256,1,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,256,20,20],f32>
    %1518 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1519 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_308 = torch.constant.int 12
    %1520 = torch.aten.item %1518 : !torch.vtensor<[],f32> -> !torch.float
    %1521 = torch.aten.item %1519 : !torch.vtensor<[],si8> -> !torch.int
    %1522 = torch.aten.quantize_per_tensor %1517, %1520, %1521, %int12_308 : !torch.vtensor<[1,256,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %1523 = torch.aten.int_repr %1522 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],si8>
    %1524 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1525 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1526 = torch.aten.item %1524 : !torch.vtensor<[],f32> -> !torch.float
    %1527 = torch.aten.item %1525 : !torch.vtensor<[],si8> -> !torch.int
    %1528 = torch.aten._make_per_tensor_quantized_tensor %1523, %1526, %1527 : !torch.vtensor<[1,256,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %1529 = torch.aten.dequantize.self %1528 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],f32>
    %1530 = torch.aten.sigmoid %1529 : !torch.vtensor<[1,256,20,20],f32> -> !torch.vtensor<[1,256,20,20],f32>
    %1531 = torch.aten.mul.Tensor %1529, %1530 : !torch.vtensor<[1,256,20,20],f32>, !torch.vtensor<[1,256,20,20],f32> -> !torch.vtensor<[1,256,20,20],f32>
    %1532 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1533 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_309 = torch.constant.int 12
    %1534 = torch.aten.item %1532 : !torch.vtensor<[],f32> -> !torch.float
    %1535 = torch.aten.item %1533 : !torch.vtensor<[],si8> -> !torch.int
    %1536 = torch.aten.quantize_per_tensor %1531, %1534, %1535, %int12_309 : !torch.vtensor<[1,256,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %1537 = torch.aten.int_repr %1536 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],si8>
    %1538 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1539 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1540 = torch.aten.item %1538 : !torch.vtensor<[],f32> -> !torch.float
    %1541 = torch.aten.item %1539 : !torch.vtensor<[],si8> -> !torch.int
    %1542 = torch.aten._make_per_tensor_quantized_tensor %1537, %1540, %1541 : !torch.vtensor<[1,256,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %1543 = torch.aten.dequantize.self %1542 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],f32>
    %1544 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1545 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1546 = torch.vtensor.literal(dense<128> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1547 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_310 = torch.constant.int 0
    %int0_311 = torch.constant.int 0
    %1548 = torch.prim.NumToTensor.Scalar %int0_311 : !torch.int -> !torch.vtensor<[1],si64>
    %1549 = torch.aten.index_select %1545, %int0_310, %1548 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1550 = torch.aten.item %1549 : !torch.vtensor<[1],si64> -> !torch.int
    %1551 = torch.aten.index_select %1546, %int0_310, %1548 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1552 = torch.aten.item %1551 : !torch.vtensor<[1],si64> -> !torch.int
    %1553 = torch.aten.index_select %1544, %int0_310, %1548 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1554 = torch.aten.item %1553 : !torch.vtensor<[1],si64> -> !torch.int
    %1555 = torch.aten.index_select %1547, %int0_310, %1548 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1556 = torch.aten.item %1555 : !torch.vtensor<[1],si64> -> !torch.int
    %1557 = torch.aten.slice.Tensor %1543, %1554, %1550, %1552, %1556 : !torch.vtensor<[1,256,20,20],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[1,128,20,20],f32>
    %1558 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1559 = torch.vtensor.literal(dense<128> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1560 = torch.vtensor.literal(dense<256> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1561 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_312 = torch.constant.int 0
    %int0_313 = torch.constant.int 0
    %1562 = torch.prim.NumToTensor.Scalar %int0_313 : !torch.int -> !torch.vtensor<[1],si64>
    %1563 = torch.aten.index_select %1559, %int0_312, %1562 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1564 = torch.aten.item %1563 : !torch.vtensor<[1],si64> -> !torch.int
    %1565 = torch.aten.index_select %1560, %int0_312, %1562 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1566 = torch.aten.item %1565 : !torch.vtensor<[1],si64> -> !torch.int
    %1567 = torch.aten.index_select %1558, %int0_312, %1562 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1568 = torch.aten.item %1567 : !torch.vtensor<[1],si64> -> !torch.int
    %1569 = torch.aten.index_select %1561, %int0_312, %1562 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1570 = torch.aten.item %1569 : !torch.vtensor<[1],si64> -> !torch.int
    %1571 = torch.aten.slice.Tensor %1543, %1568, %1564, %1566, %1570 : !torch.vtensor<[1,256,20,20],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[1,128,20,20],f32>
    %1572 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1573 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_314 = torch.constant.int 12
    %1574 = torch.aten.item %1572 : !torch.vtensor<[],f32> -> !torch.float
    %1575 = torch.aten.item %1573 : !torch.vtensor<[],si8> -> !torch.int
    %1576 = torch.aten.quantize_per_tensor %44, %1574, %1575, %int12_314 : !torch.vtensor<[128,128,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,128,3,3],!torch.qint8>
    %1577 = torch.aten.int_repr %1576 : !torch.vtensor<[128,128,3,3],!torch.qint8> -> !torch.vtensor<[128,128,3,3],si8>
    %1578 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1579 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1580 = torch.aten.item %1578 : !torch.vtensor<[],f32> -> !torch.float
    %1581 = torch.aten.item %1579 : !torch.vtensor<[],si8> -> !torch.int
    %1582 = torch.aten._make_per_tensor_quantized_tensor %1577, %1580, %1581 : !torch.vtensor<[128,128,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,128,3,3],!torch.qint8>
    %1583 = torch.aten.dequantize.self %1582 : !torch.vtensor<[128,128,3,3],!torch.qint8> -> !torch.vtensor<[128,128,3,3],f32>
    %1584 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1585 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_315 = torch.constant.int 12
    %1586 = torch.aten.item %1584 : !torch.vtensor<[],f32> -> !torch.float
    %1587 = torch.aten.item %1585 : !torch.vtensor<[],si8> -> !torch.int
    %1588 = torch.aten.quantize_per_tensor %45, %1586, %1587, %int12_315 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1589 = torch.aten.int_repr %1588 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %1590 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1591 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1592 = torch.aten.item %1590 : !torch.vtensor<[],f32> -> !torch.float
    %1593 = torch.aten.item %1591 : !torch.vtensor<[],si8> -> !torch.int
    %1594 = torch.aten._make_per_tensor_quantized_tensor %1589, %1592, %1593 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1595 = torch.aten.dequantize.self %1594 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %int1_316 = torch.constant.int 1
    %int1_317 = torch.constant.int 1
    %int1_318 = torch.constant.int 1
    %int1_319 = torch.constant.int 1
    %int1_320 = torch.constant.int 1
    %int1_321 = torch.constant.int 1
    %int0_322 = torch.constant.int 0
    %1596 = torch.prim.ListConstruct %int1_316, %int1_317 : (!torch.int, !torch.int) -> !torch.list<int>
    %1597 = torch.prim.ListConstruct %int1_318, %int1_319 : (!torch.int, !torch.int) -> !torch.list<int>
    %1598 = torch.prim.ListConstruct %int1_320, %int1_321 : (!torch.int, !torch.int) -> !torch.list<int>
    %1599 = torch.prim.ListConstruct %int0_322, %int0_322 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_323 = torch.constant.bool false
    %int1_324 = torch.constant.int 1
    %1600 = torch.aten.convolution %1571, %1583, %1595, %1598, %1596, %1597, %false_323, %1599, %int1_324 : !torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[128,128,3,3],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,20,20],f32>
    %1601 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1602 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_325 = torch.constant.int 12
    %1603 = torch.aten.item %1601 : !torch.vtensor<[],f32> -> !torch.float
    %1604 = torch.aten.item %1602 : !torch.vtensor<[],si8> -> !torch.int
    %1605 = torch.aten.quantize_per_tensor %1600, %1603, %1604, %int12_325 : !torch.vtensor<[1,128,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %1606 = torch.aten.int_repr %1605 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],si8>
    %1607 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1608 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1609 = torch.aten.item %1607 : !torch.vtensor<[],f32> -> !torch.float
    %1610 = torch.aten.item %1608 : !torch.vtensor<[],si8> -> !torch.int
    %1611 = torch.aten._make_per_tensor_quantized_tensor %1606, %1609, %1610 : !torch.vtensor<[1,128,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %1612 = torch.aten.dequantize.self %1611 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],f32>
    %1613 = torch.aten.sigmoid %1612 : !torch.vtensor<[1,128,20,20],f32> -> !torch.vtensor<[1,128,20,20],f32>
    %1614 = torch.aten.mul.Tensor %1612, %1613 : !torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[1,128,20,20],f32> -> !torch.vtensor<[1,128,20,20],f32>
    %1615 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1616 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_326 = torch.constant.int 12
    %1617 = torch.aten.item %1615 : !torch.vtensor<[],f32> -> !torch.float
    %1618 = torch.aten.item %1616 : !torch.vtensor<[],si8> -> !torch.int
    %1619 = torch.aten.quantize_per_tensor %1614, %1617, %1618, %int12_326 : !torch.vtensor<[1,128,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %1620 = torch.aten.int_repr %1619 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],si8>
    %1621 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1622 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1623 = torch.aten.item %1621 : !torch.vtensor<[],f32> -> !torch.float
    %1624 = torch.aten.item %1622 : !torch.vtensor<[],si8> -> !torch.int
    %1625 = torch.aten._make_per_tensor_quantized_tensor %1620, %1623, %1624 : !torch.vtensor<[1,128,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %1626 = torch.aten.dequantize.self %1625 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],f32>
    %1627 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1628 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_327 = torch.constant.int 12
    %1629 = torch.aten.item %1627 : !torch.vtensor<[],f32> -> !torch.float
    %1630 = torch.aten.item %1628 : !torch.vtensor<[],si8> -> !torch.int
    %1631 = torch.aten.quantize_per_tensor %46, %1629, %1630, %int12_327 : !torch.vtensor<[128,128,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,128,3,3],!torch.qint8>
    %1632 = torch.aten.int_repr %1631 : !torch.vtensor<[128,128,3,3],!torch.qint8> -> !torch.vtensor<[128,128,3,3],si8>
    %1633 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1634 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1635 = torch.aten.item %1633 : !torch.vtensor<[],f32> -> !torch.float
    %1636 = torch.aten.item %1634 : !torch.vtensor<[],si8> -> !torch.int
    %1637 = torch.aten._make_per_tensor_quantized_tensor %1632, %1635, %1636 : !torch.vtensor<[128,128,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,128,3,3],!torch.qint8>
    %1638 = torch.aten.dequantize.self %1637 : !torch.vtensor<[128,128,3,3],!torch.qint8> -> !torch.vtensor<[128,128,3,3],f32>
    %1639 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1640 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_328 = torch.constant.int 12
    %1641 = torch.aten.item %1639 : !torch.vtensor<[],f32> -> !torch.float
    %1642 = torch.aten.item %1640 : !torch.vtensor<[],si8> -> !torch.int
    %1643 = torch.aten.quantize_per_tensor %47, %1641, %1642, %int12_328 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1644 = torch.aten.int_repr %1643 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %1645 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1646 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1647 = torch.aten.item %1645 : !torch.vtensor<[],f32> -> !torch.float
    %1648 = torch.aten.item %1646 : !torch.vtensor<[],si8> -> !torch.int
    %1649 = torch.aten._make_per_tensor_quantized_tensor %1644, %1647, %1648 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1650 = torch.aten.dequantize.self %1649 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %int1_329 = torch.constant.int 1
    %int1_330 = torch.constant.int 1
    %int1_331 = torch.constant.int 1
    %int1_332 = torch.constant.int 1
    %int1_333 = torch.constant.int 1
    %int1_334 = torch.constant.int 1
    %int0_335 = torch.constant.int 0
    %1651 = torch.prim.ListConstruct %int1_329, %int1_330 : (!torch.int, !torch.int) -> !torch.list<int>
    %1652 = torch.prim.ListConstruct %int1_331, %int1_332 : (!torch.int, !torch.int) -> !torch.list<int>
    %1653 = torch.prim.ListConstruct %int1_333, %int1_334 : (!torch.int, !torch.int) -> !torch.list<int>
    %1654 = torch.prim.ListConstruct %int0_335, %int0_335 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_336 = torch.constant.bool false
    %int1_337 = torch.constant.int 1
    %1655 = torch.aten.convolution %1626, %1638, %1650, %1653, %1651, %1652, %false_336, %1654, %int1_337 : !torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[128,128,3,3],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,20,20],f32>
    %1656 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1657 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_338 = torch.constant.int 12
    %1658 = torch.aten.item %1656 : !torch.vtensor<[],f32> -> !torch.float
    %1659 = torch.aten.item %1657 : !torch.vtensor<[],si8> -> !torch.int
    %1660 = torch.aten.quantize_per_tensor %1655, %1658, %1659, %int12_338 : !torch.vtensor<[1,128,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %1661 = torch.aten.int_repr %1660 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],si8>
    %1662 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1663 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1664 = torch.aten.item %1662 : !torch.vtensor<[],f32> -> !torch.float
    %1665 = torch.aten.item %1663 : !torch.vtensor<[],si8> -> !torch.int
    %1666 = torch.aten._make_per_tensor_quantized_tensor %1661, %1664, %1665 : !torch.vtensor<[1,128,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %1667 = torch.aten.dequantize.self %1666 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],f32>
    %1668 = torch.aten.sigmoid %1667 : !torch.vtensor<[1,128,20,20],f32> -> !torch.vtensor<[1,128,20,20],f32>
    %1669 = torch.aten.mul.Tensor %1667, %1668 : !torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[1,128,20,20],f32> -> !torch.vtensor<[1,128,20,20],f32>
    %1670 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1671 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_339 = torch.constant.int 12
    %1672 = torch.aten.item %1670 : !torch.vtensor<[],f32> -> !torch.float
    %1673 = torch.aten.item %1671 : !torch.vtensor<[],si8> -> !torch.int
    %1674 = torch.aten.quantize_per_tensor %1669, %1672, %1673, %int12_339 : !torch.vtensor<[1,128,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %1675 = torch.aten.int_repr %1674 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],si8>
    %1676 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1677 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1678 = torch.aten.item %1676 : !torch.vtensor<[],f32> -> !torch.float
    %1679 = torch.aten.item %1677 : !torch.vtensor<[],si8> -> !torch.int
    %1680 = torch.aten._make_per_tensor_quantized_tensor %1675, %1678, %1679 : !torch.vtensor<[1,128,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %1681 = torch.aten.dequantize.self %1680 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],f32>
    %int1_340 = torch.constant.int 1
    %1682 = torch.aten.add.Tensor %1571, %1681, %int1_340 : !torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[1,128,20,20],f32>, !torch.int -> !torch.vtensor<[1,128,20,20],f32>
    %1683 = torch.prim.ListConstruct %1557, %1571, %1682 : (!torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[1,128,20,20],f32>) -> !torch.list<vtensor>
    %int1_341 = torch.constant.int 1
    %1684 = torch.aten.cat %1683, %int1_341 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[1,384,20,20],f32>
    %1685 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1686 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_342 = torch.constant.int 12
    %1687 = torch.aten.item %1685 : !torch.vtensor<[],f32> -> !torch.float
    %1688 = torch.aten.item %1686 : !torch.vtensor<[],si8> -> !torch.int
    %1689 = torch.aten.quantize_per_tensor %1684, %1687, %1688, %int12_342 : !torch.vtensor<[1,384,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,384,20,20],!torch.qint8>
    %1690 = torch.aten.int_repr %1689 : !torch.vtensor<[1,384,20,20],!torch.qint8> -> !torch.vtensor<[1,384,20,20],si8>
    %1691 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1692 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1693 = torch.aten.item %1691 : !torch.vtensor<[],f32> -> !torch.float
    %1694 = torch.aten.item %1692 : !torch.vtensor<[],si8> -> !torch.int
    %1695 = torch.aten._make_per_tensor_quantized_tensor %1690, %1693, %1694 : !torch.vtensor<[1,384,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,384,20,20],!torch.qint8>
    %1696 = torch.aten.dequantize.self %1695 : !torch.vtensor<[1,384,20,20],!torch.qint8> -> !torch.vtensor<[1,384,20,20],f32>
    %1697 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1698 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_343 = torch.constant.int 12
    %1699 = torch.aten.item %1697 : !torch.vtensor<[],f32> -> !torch.float
    %1700 = torch.aten.item %1698 : !torch.vtensor<[],si8> -> !torch.int
    %1701 = torch.aten.quantize_per_tensor %48, %1699, %1700, %int12_343 : !torch.vtensor<[256,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,384,1,1],!torch.qint8>
    %1702 = torch.aten.int_repr %1701 : !torch.vtensor<[256,384,1,1],!torch.qint8> -> !torch.vtensor<[256,384,1,1],si8>
    %1703 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1704 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1705 = torch.aten.item %1703 : !torch.vtensor<[],f32> -> !torch.float
    %1706 = torch.aten.item %1704 : !torch.vtensor<[],si8> -> !torch.int
    %1707 = torch.aten._make_per_tensor_quantized_tensor %1702, %1705, %1706 : !torch.vtensor<[256,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,384,1,1],!torch.qint8>
    %1708 = torch.aten.dequantize.self %1707 : !torch.vtensor<[256,384,1,1],!torch.qint8> -> !torch.vtensor<[256,384,1,1],f32>
    %1709 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1710 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_344 = torch.constant.int 12
    %1711 = torch.aten.item %1709 : !torch.vtensor<[],f32> -> !torch.float
    %1712 = torch.aten.item %1710 : !torch.vtensor<[],si8> -> !torch.int
    %1713 = torch.aten.quantize_per_tensor %49, %1711, %1712, %int12_344 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
    %1714 = torch.aten.int_repr %1713 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
    %1715 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1716 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1717 = torch.aten.item %1715 : !torch.vtensor<[],f32> -> !torch.float
    %1718 = torch.aten.item %1716 : !torch.vtensor<[],si8> -> !torch.int
    %1719 = torch.aten._make_per_tensor_quantized_tensor %1714, %1717, %1718 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
    %1720 = torch.aten.dequantize.self %1719 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
    %int0_345 = torch.constant.int 0
    %int0_346 = torch.constant.int 0
    %int1_347 = torch.constant.int 1
    %int1_348 = torch.constant.int 1
    %int1_349 = torch.constant.int 1
    %int1_350 = torch.constant.int 1
    %int0_351 = torch.constant.int 0
    %1721 = torch.prim.ListConstruct %int0_345, %int0_346 : (!torch.int, !torch.int) -> !torch.list<int>
    %1722 = torch.prim.ListConstruct %int1_347, %int1_348 : (!torch.int, !torch.int) -> !torch.list<int>
    %1723 = torch.prim.ListConstruct %int1_349, %int1_350 : (!torch.int, !torch.int) -> !torch.list<int>
    %1724 = torch.prim.ListConstruct %int0_351, %int0_351 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_352 = torch.constant.bool false
    %int1_353 = torch.constant.int 1
    %1725 = torch.aten.convolution %1696, %1708, %1720, %1723, %1721, %1722, %false_352, %1724, %int1_353 : !torch.vtensor<[1,384,20,20],f32>, !torch.vtensor<[256,384,1,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,256,20,20],f32>
    %1726 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1727 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_354 = torch.constant.int 12
    %1728 = torch.aten.item %1726 : !torch.vtensor<[],f32> -> !torch.float
    %1729 = torch.aten.item %1727 : !torch.vtensor<[],si8> -> !torch.int
    %1730 = torch.aten.quantize_per_tensor %1725, %1728, %1729, %int12_354 : !torch.vtensor<[1,256,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %1731 = torch.aten.int_repr %1730 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],si8>
    %1732 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1733 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1734 = torch.aten.item %1732 : !torch.vtensor<[],f32> -> !torch.float
    %1735 = torch.aten.item %1733 : !torch.vtensor<[],si8> -> !torch.int
    %1736 = torch.aten._make_per_tensor_quantized_tensor %1731, %1734, %1735 : !torch.vtensor<[1,256,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %1737 = torch.aten.dequantize.self %1736 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],f32>
    %1738 = torch.aten.sigmoid %1737 : !torch.vtensor<[1,256,20,20],f32> -> !torch.vtensor<[1,256,20,20],f32>
    %1739 = torch.aten.mul.Tensor %1737, %1738 : !torch.vtensor<[1,256,20,20],f32>, !torch.vtensor<[1,256,20,20],f32> -> !torch.vtensor<[1,256,20,20],f32>
    %1740 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1741 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_355 = torch.constant.int 12
    %1742 = torch.aten.item %1740 : !torch.vtensor<[],f32> -> !torch.float
    %1743 = torch.aten.item %1741 : !torch.vtensor<[],si8> -> !torch.int
    %1744 = torch.aten.quantize_per_tensor %1739, %1742, %1743, %int12_355 : !torch.vtensor<[1,256,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %1745 = torch.aten.int_repr %1744 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],si8>
    %1746 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1747 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1748 = torch.aten.item %1746 : !torch.vtensor<[],f32> -> !torch.float
    %1749 = torch.aten.item %1747 : !torch.vtensor<[],si8> -> !torch.int
    %1750 = torch.aten._make_per_tensor_quantized_tensor %1745, %1748, %1749 : !torch.vtensor<[1,256,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %1751 = torch.aten.dequantize.self %1750 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],f32>
    %1752 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1753 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_356 = torch.constant.int 12
    %1754 = torch.aten.item %1752 : !torch.vtensor<[],f32> -> !torch.float
    %1755 = torch.aten.item %1753 : !torch.vtensor<[],si8> -> !torch.int
    %1756 = torch.aten.quantize_per_tensor %50, %1754, %1755, %int12_356 : !torch.vtensor<[128,256,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,256,1,1],!torch.qint8>
    %1757 = torch.aten.int_repr %1756 : !torch.vtensor<[128,256,1,1],!torch.qint8> -> !torch.vtensor<[128,256,1,1],si8>
    %1758 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1759 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1760 = torch.aten.item %1758 : !torch.vtensor<[],f32> -> !torch.float
    %1761 = torch.aten.item %1759 : !torch.vtensor<[],si8> -> !torch.int
    %1762 = torch.aten._make_per_tensor_quantized_tensor %1757, %1760, %1761 : !torch.vtensor<[128,256,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,256,1,1],!torch.qint8>
    %1763 = torch.aten.dequantize.self %1762 : !torch.vtensor<[128,256,1,1],!torch.qint8> -> !torch.vtensor<[128,256,1,1],f32>
    %1764 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1765 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_357 = torch.constant.int 12
    %1766 = torch.aten.item %1764 : !torch.vtensor<[],f32> -> !torch.float
    %1767 = torch.aten.item %1765 : !torch.vtensor<[],si8> -> !torch.int
    %1768 = torch.aten.quantize_per_tensor %51, %1766, %1767, %int12_357 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1769 = torch.aten.int_repr %1768 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %1770 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1771 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1772 = torch.aten.item %1770 : !torch.vtensor<[],f32> -> !torch.float
    %1773 = torch.aten.item %1771 : !torch.vtensor<[],si8> -> !torch.int
    %1774 = torch.aten._make_per_tensor_quantized_tensor %1769, %1772, %1773 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1775 = torch.aten.dequantize.self %1774 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %int0_358 = torch.constant.int 0
    %int0_359 = torch.constant.int 0
    %int1_360 = torch.constant.int 1
    %int1_361 = torch.constant.int 1
    %int1_362 = torch.constant.int 1
    %int1_363 = torch.constant.int 1
    %int0_364 = torch.constant.int 0
    %1776 = torch.prim.ListConstruct %int0_358, %int0_359 : (!torch.int, !torch.int) -> !torch.list<int>
    %1777 = torch.prim.ListConstruct %int1_360, %int1_361 : (!torch.int, !torch.int) -> !torch.list<int>
    %1778 = torch.prim.ListConstruct %int1_362, %int1_363 : (!torch.int, !torch.int) -> !torch.list<int>
    %1779 = torch.prim.ListConstruct %int0_364, %int0_364 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_365 = torch.constant.bool false
    %int1_366 = torch.constant.int 1
    %1780 = torch.aten.convolution %1751, %1763, %1775, %1778, %1776, %1777, %false_365, %1779, %int1_366 : !torch.vtensor<[1,256,20,20],f32>, !torch.vtensor<[128,256,1,1],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,20,20],f32>
    %1781 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1782 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_367 = torch.constant.int 12
    %1783 = torch.aten.item %1781 : !torch.vtensor<[],f32> -> !torch.float
    %1784 = torch.aten.item %1782 : !torch.vtensor<[],si8> -> !torch.int
    %1785 = torch.aten.quantize_per_tensor %1780, %1783, %1784, %int12_367 : !torch.vtensor<[1,128,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %1786 = torch.aten.int_repr %1785 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],si8>
    %1787 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1788 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1789 = torch.aten.item %1787 : !torch.vtensor<[],f32> -> !torch.float
    %1790 = torch.aten.item %1788 : !torch.vtensor<[],si8> -> !torch.int
    %1791 = torch.aten._make_per_tensor_quantized_tensor %1786, %1789, %1790 : !torch.vtensor<[1,128,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %1792 = torch.aten.dequantize.self %1791 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],f32>
    %1793 = torch.aten.sigmoid %1792 : !torch.vtensor<[1,128,20,20],f32> -> !torch.vtensor<[1,128,20,20],f32>
    %1794 = torch.aten.mul.Tensor %1792, %1793 : !torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[1,128,20,20],f32> -> !torch.vtensor<[1,128,20,20],f32>
    %1795 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1796 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_368 = torch.constant.int 12
    %1797 = torch.aten.item %1795 : !torch.vtensor<[],f32> -> !torch.float
    %1798 = torch.aten.item %1796 : !torch.vtensor<[],si8> -> !torch.int
    %1799 = torch.aten.quantize_per_tensor %1794, %1797, %1798, %int12_368 : !torch.vtensor<[1,128,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %1800 = torch.aten.int_repr %1799 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],si8>
    %1801 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1802 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1803 = torch.aten.item %1801 : !torch.vtensor<[],f32> -> !torch.float
    %1804 = torch.aten.item %1802 : !torch.vtensor<[],si8> -> !torch.int
    %1805 = torch.aten._make_per_tensor_quantized_tensor %1800, %1803, %1804 : !torch.vtensor<[1,128,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %1806 = torch.aten.dequantize.self %1805 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],f32>
    %int5 = torch.constant.int 5
    %int5_369 = torch.constant.int 5
    %1807 = torch.prim.ListConstruct %int5, %int5_369 : (!torch.int, !torch.int) -> !torch.list<int>
    %int2_370 = torch.constant.int 2
    %int2_371 = torch.constant.int 2
    %1808 = torch.prim.ListConstruct %int2_370, %int2_371 : (!torch.int, !torch.int) -> !torch.list<int>
    %int1_372 = torch.constant.int 1
    %int1_373 = torch.constant.int 1
    %1809 = torch.prim.ListConstruct %int1_372, %int1_373 : (!torch.int, !torch.int) -> !torch.list<int>
    %int1_374 = torch.constant.int 1
    %int1_375 = torch.constant.int 1
    %1810 = torch.prim.ListConstruct %int1_374, %int1_375 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_376 = torch.constant.bool false
    %1811 = torch.aten.max_pool2d %1806, %1807, %1809, %1808, %1810, %false_376 : !torch.vtensor<[1,128,20,20],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.vtensor<[1,128,20,20],f32>
    %1812 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1813 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_377 = torch.constant.int 12
    %1814 = torch.aten.item %1812 : !torch.vtensor<[],f32> -> !torch.float
    %1815 = torch.aten.item %1813 : !torch.vtensor<[],si8> -> !torch.int
    %1816 = torch.aten.quantize_per_tensor %1811, %1814, %1815, %int12_377 : !torch.vtensor<[1,128,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %1817 = torch.aten.int_repr %1816 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],si8>
    %1818 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1819 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1820 = torch.aten.item %1818 : !torch.vtensor<[],f32> -> !torch.float
    %1821 = torch.aten.item %1819 : !torch.vtensor<[],si8> -> !torch.int
    %1822 = torch.aten._make_per_tensor_quantized_tensor %1817, %1820, %1821 : !torch.vtensor<[1,128,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %1823 = torch.aten.dequantize.self %1822 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],f32>
    %int5_378 = torch.constant.int 5
    %int5_379 = torch.constant.int 5
    %1824 = torch.prim.ListConstruct %int5_378, %int5_379 : (!torch.int, !torch.int) -> !torch.list<int>
    %int2_380 = torch.constant.int 2
    %int2_381 = torch.constant.int 2
    %1825 = torch.prim.ListConstruct %int2_380, %int2_381 : (!torch.int, !torch.int) -> !torch.list<int>
    %int1_382 = torch.constant.int 1
    %int1_383 = torch.constant.int 1
    %1826 = torch.prim.ListConstruct %int1_382, %int1_383 : (!torch.int, !torch.int) -> !torch.list<int>
    %int1_384 = torch.constant.int 1
    %int1_385 = torch.constant.int 1
    %1827 = torch.prim.ListConstruct %int1_384, %int1_385 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_386 = torch.constant.bool false
    %1828 = torch.aten.max_pool2d %1823, %1824, %1826, %1825, %1827, %false_386 : !torch.vtensor<[1,128,20,20],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.vtensor<[1,128,20,20],f32>
    %1829 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1830 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_387 = torch.constant.int 12
    %1831 = torch.aten.item %1829 : !torch.vtensor<[],f32> -> !torch.float
    %1832 = torch.aten.item %1830 : !torch.vtensor<[],si8> -> !torch.int
    %1833 = torch.aten.quantize_per_tensor %1828, %1831, %1832, %int12_387 : !torch.vtensor<[1,128,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %1834 = torch.aten.int_repr %1833 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],si8>
    %1835 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1836 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1837 = torch.aten.item %1835 : !torch.vtensor<[],f32> -> !torch.float
    %1838 = torch.aten.item %1836 : !torch.vtensor<[],si8> -> !torch.int
    %1839 = torch.aten._make_per_tensor_quantized_tensor %1834, %1837, %1838 : !torch.vtensor<[1,128,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %1840 = torch.aten.dequantize.self %1839 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],f32>
    %int5_388 = torch.constant.int 5
    %int5_389 = torch.constant.int 5
    %1841 = torch.prim.ListConstruct %int5_388, %int5_389 : (!torch.int, !torch.int) -> !torch.list<int>
    %int2_390 = torch.constant.int 2
    %int2_391 = torch.constant.int 2
    %1842 = torch.prim.ListConstruct %int2_390, %int2_391 : (!torch.int, !torch.int) -> !torch.list<int>
    %int1_392 = torch.constant.int 1
    %int1_393 = torch.constant.int 1
    %1843 = torch.prim.ListConstruct %int1_392, %int1_393 : (!torch.int, !torch.int) -> !torch.list<int>
    %int1_394 = torch.constant.int 1
    %int1_395 = torch.constant.int 1
    %1844 = torch.prim.ListConstruct %int1_394, %int1_395 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_396 = torch.constant.bool false
    %1845 = torch.aten.max_pool2d %1840, %1841, %1843, %1842, %1844, %false_396 : !torch.vtensor<[1,128,20,20],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.vtensor<[1,128,20,20],f32>
    %1846 = torch.prim.ListConstruct %1806, %1823, %1840, %1845 : (!torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[1,128,20,20],f32>) -> !torch.list<vtensor>
    %int1_397 = torch.constant.int 1
    %1847 = torch.aten.cat %1846, %int1_397 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[1,512,20,20],f32>
    %1848 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1849 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_398 = torch.constant.int 12
    %1850 = torch.aten.item %1848 : !torch.vtensor<[],f32> -> !torch.float
    %1851 = torch.aten.item %1849 : !torch.vtensor<[],si8> -> !torch.int
    %1852 = torch.aten.quantize_per_tensor %1847, %1850, %1851, %int12_398 : !torch.vtensor<[1,512,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,512,20,20],!torch.qint8>
    %1853 = torch.aten.int_repr %1852 : !torch.vtensor<[1,512,20,20],!torch.qint8> -> !torch.vtensor<[1,512,20,20],si8>
    %1854 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1855 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1856 = torch.aten.item %1854 : !torch.vtensor<[],f32> -> !torch.float
    %1857 = torch.aten.item %1855 : !torch.vtensor<[],si8> -> !torch.int
    %1858 = torch.aten._make_per_tensor_quantized_tensor %1853, %1856, %1857 : !torch.vtensor<[1,512,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,512,20,20],!torch.qint8>
    %1859 = torch.aten.dequantize.self %1858 : !torch.vtensor<[1,512,20,20],!torch.qint8> -> !torch.vtensor<[1,512,20,20],f32>
    %1860 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1861 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_399 = torch.constant.int 12
    %1862 = torch.aten.item %1860 : !torch.vtensor<[],f32> -> !torch.float
    %1863 = torch.aten.item %1861 : !torch.vtensor<[],si8> -> !torch.int
    %1864 = torch.aten.quantize_per_tensor %52, %1862, %1863, %int12_399 : !torch.vtensor<[256,512,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,512,1,1],!torch.qint8>
    %1865 = torch.aten.int_repr %1864 : !torch.vtensor<[256,512,1,1],!torch.qint8> -> !torch.vtensor<[256,512,1,1],si8>
    %1866 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %1867 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1868 = torch.aten.item %1866 : !torch.vtensor<[],f32> -> !torch.float
    %1869 = torch.aten.item %1867 : !torch.vtensor<[],si8> -> !torch.int
    %1870 = torch.aten._make_per_tensor_quantized_tensor %1865, %1868, %1869 : !torch.vtensor<[256,512,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,512,1,1],!torch.qint8>
    %1871 = torch.aten.dequantize.self %1870 : !torch.vtensor<[256,512,1,1],!torch.qint8> -> !torch.vtensor<[256,512,1,1],f32>
    %1872 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1873 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_400 = torch.constant.int 12
    %1874 = torch.aten.item %1872 : !torch.vtensor<[],f32> -> !torch.float
    %1875 = torch.aten.item %1873 : !torch.vtensor<[],si8> -> !torch.int
    %1876 = torch.aten.quantize_per_tensor %53, %1874, %1875, %int12_400 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
    %1877 = torch.aten.int_repr %1876 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
    %1878 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1879 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1880 = torch.aten.item %1878 : !torch.vtensor<[],f32> -> !torch.float
    %1881 = torch.aten.item %1879 : !torch.vtensor<[],si8> -> !torch.int
    %1882 = torch.aten._make_per_tensor_quantized_tensor %1877, %1880, %1881 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
    %1883 = torch.aten.dequantize.self %1882 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
    %int0_401 = torch.constant.int 0
    %int0_402 = torch.constant.int 0
    %int1_403 = torch.constant.int 1
    %int1_404 = torch.constant.int 1
    %int1_405 = torch.constant.int 1
    %int1_406 = torch.constant.int 1
    %int0_407 = torch.constant.int 0
    %1884 = torch.prim.ListConstruct %int0_401, %int0_402 : (!torch.int, !torch.int) -> !torch.list<int>
    %1885 = torch.prim.ListConstruct %int1_403, %int1_404 : (!torch.int, !torch.int) -> !torch.list<int>
    %1886 = torch.prim.ListConstruct %int1_405, %int1_406 : (!torch.int, !torch.int) -> !torch.list<int>
    %1887 = torch.prim.ListConstruct %int0_407, %int0_407 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_408 = torch.constant.bool false
    %int1_409 = torch.constant.int 1
    %1888 = torch.aten.convolution %1859, %1871, %1883, %1886, %1884, %1885, %false_408, %1887, %int1_409 : !torch.vtensor<[1,512,20,20],f32>, !torch.vtensor<[256,512,1,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,256,20,20],f32>
    %1889 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1890 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_410 = torch.constant.int 12
    %1891 = torch.aten.item %1889 : !torch.vtensor<[],f32> -> !torch.float
    %1892 = torch.aten.item %1890 : !torch.vtensor<[],si8> -> !torch.int
    %1893 = torch.aten.quantize_per_tensor %1888, %1891, %1892, %int12_410 : !torch.vtensor<[1,256,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %1894 = torch.aten.int_repr %1893 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],si8>
    %1895 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1896 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1897 = torch.aten.item %1895 : !torch.vtensor<[],f32> -> !torch.float
    %1898 = torch.aten.item %1896 : !torch.vtensor<[],si8> -> !torch.int
    %1899 = torch.aten._make_per_tensor_quantized_tensor %1894, %1897, %1898 : !torch.vtensor<[1,256,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %1900 = torch.aten.dequantize.self %1899 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],f32>
    %1901 = torch.aten.sigmoid %1900 : !torch.vtensor<[1,256,20,20],f32> -> !torch.vtensor<[1,256,20,20],f32>
    %1902 = torch.aten.mul.Tensor %1900, %1901 : !torch.vtensor<[1,256,20,20],f32>, !torch.vtensor<[1,256,20,20],f32> -> !torch.vtensor<[1,256,20,20],f32>
    %1903 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1904 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_411 = torch.constant.int 12
    %1905 = torch.aten.item %1903 : !torch.vtensor<[],f32> -> !torch.float
    %1906 = torch.aten.item %1904 : !torch.vtensor<[],si8> -> !torch.int
    %1907 = torch.aten.quantize_per_tensor %1902, %1905, %1906, %int12_411 : !torch.vtensor<[1,256,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %1908 = torch.aten.int_repr %1907 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],si8>
    %1909 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1910 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1911 = torch.aten.item %1909 : !torch.vtensor<[],f32> -> !torch.float
    %1912 = torch.aten.item %1910 : !torch.vtensor<[],si8> -> !torch.int
    %1913 = torch.aten._make_per_tensor_quantized_tensor %1908, %1911, %1912 : !torch.vtensor<[1,256,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %1914 = torch.aten.dequantize.self %1913 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],f32>
    %1915 = torch.vtensor.literal(dense<1.000000e+00> : tensor<2xf32>) : !torch.vtensor<[2],f32>
    %1916 = torch.vtensor.literal(dense<2.000000e+00> : tensor<2xf32>) : !torch.vtensor<[2],f32>
    %1917 = torch.prim.ListConstruct %1915, %1916 : (!torch.vtensor<[2],f32>, !torch.vtensor<[2],f32>) -> !torch.list<vtensor>
    %int0_412 = torch.constant.int 0
    %1918 = torch.aten.cat %1917, %int0_412 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[4],f32>
    %1919 = torch.operator "onnx.Resize"(%1914, %none, %1918) {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<[1,256,20,20],f32>, !torch.none, !torch.vtensor<[4],f32>) -> !torch.vtensor<[?,?,?,?],f32> 
    %1920 = torch.prim.ListConstruct %1919, %1433 : (!torch.vtensor<[?,?,?,?],f32>, !torch.vtensor<[1,128,40,40],f32>) -> !torch.list<vtensor>
    %int1_413 = torch.constant.int 1
    %1921 = torch.aten.cat %1920, %int1_413 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[1,?,40,40],f32>
    %1922 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1923 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_414 = torch.constant.int 12
    %1924 = torch.aten.item %1922 : !torch.vtensor<[],f32> -> !torch.float
    %1925 = torch.aten.item %1923 : !torch.vtensor<[],si8> -> !torch.int
    %1926 = torch.aten.quantize_per_tensor %1921, %1924, %1925, %int12_414 : !torch.vtensor<[1,?,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,?,40,40],!torch.qint8>
    %1927 = torch.aten.int_repr %1926 : !torch.vtensor<[1,?,40,40],!torch.qint8> -> !torch.vtensor<[1,?,40,40],si8>
    %1928 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1929 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1930 = torch.aten.item %1928 : !torch.vtensor<[],f32> -> !torch.float
    %1931 = torch.aten.item %1929 : !torch.vtensor<[],si8> -> !torch.int
    %1932 = torch.aten._make_per_tensor_quantized_tensor %1927, %1930, %1931 : !torch.vtensor<[1,?,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,?,40,40],!torch.qint8>
    %1933 = torch.aten.dequantize.self %1932 : !torch.vtensor<[1,?,40,40],!torch.qint8> -> !torch.vtensor<[1,?,40,40],f32>
    %1934 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1935 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_415 = torch.constant.int 12
    %1936 = torch.aten.item %1934 : !torch.vtensor<[],f32> -> !torch.float
    %1937 = torch.aten.item %1935 : !torch.vtensor<[],si8> -> !torch.int
    %1938 = torch.aten.quantize_per_tensor %54, %1936, %1937, %int12_415 : !torch.vtensor<[128,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,384,1,1],!torch.qint8>
    %1939 = torch.aten.int_repr %1938 : !torch.vtensor<[128,384,1,1],!torch.qint8> -> !torch.vtensor<[128,384,1,1],si8>
    %1940 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1941 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1942 = torch.aten.item %1940 : !torch.vtensor<[],f32> -> !torch.float
    %1943 = torch.aten.item %1941 : !torch.vtensor<[],si8> -> !torch.int
    %1944 = torch.aten._make_per_tensor_quantized_tensor %1939, %1942, %1943 : !torch.vtensor<[128,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,384,1,1],!torch.qint8>
    %1945 = torch.aten.dequantize.self %1944 : !torch.vtensor<[128,384,1,1],!torch.qint8> -> !torch.vtensor<[128,384,1,1],f32>
    %1946 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1947 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_416 = torch.constant.int 12
    %1948 = torch.aten.item %1946 : !torch.vtensor<[],f32> -> !torch.float
    %1949 = torch.aten.item %1947 : !torch.vtensor<[],si8> -> !torch.int
    %1950 = torch.aten.quantize_per_tensor %55, %1948, %1949, %int12_416 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1951 = torch.aten.int_repr %1950 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %1952 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1953 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1954 = torch.aten.item %1952 : !torch.vtensor<[],f32> -> !torch.float
    %1955 = torch.aten.item %1953 : !torch.vtensor<[],si8> -> !torch.int
    %1956 = torch.aten._make_per_tensor_quantized_tensor %1951, %1954, %1955 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %1957 = torch.aten.dequantize.self %1956 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %int0_417 = torch.constant.int 0
    %int0_418 = torch.constant.int 0
    %int1_419 = torch.constant.int 1
    %int1_420 = torch.constant.int 1
    %int1_421 = torch.constant.int 1
    %int1_422 = torch.constant.int 1
    %int0_423 = torch.constant.int 0
    %1958 = torch.prim.ListConstruct %int0_417, %int0_418 : (!torch.int, !torch.int) -> !torch.list<int>
    %1959 = torch.prim.ListConstruct %int1_419, %int1_420 : (!torch.int, !torch.int) -> !torch.list<int>
    %1960 = torch.prim.ListConstruct %int1_421, %int1_422 : (!torch.int, !torch.int) -> !torch.list<int>
    %1961 = torch.prim.ListConstruct %int0_423, %int0_423 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_424 = torch.constant.bool false
    %int1_425 = torch.constant.int 1
    %1962 = torch.aten.convolution %1933, %1945, %1957, %1960, %1958, %1959, %false_424, %1961, %int1_425 : !torch.vtensor<[1,?,40,40],f32>, !torch.vtensor<[128,384,1,1],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,40,40],f32>
    %1963 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1964 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_426 = torch.constant.int 12
    %1965 = torch.aten.item %1963 : !torch.vtensor<[],f32> -> !torch.float
    %1966 = torch.aten.item %1964 : !torch.vtensor<[],si8> -> !torch.int
    %1967 = torch.aten.quantize_per_tensor %1962, %1965, %1966, %int12_426 : !torch.vtensor<[1,128,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %1968 = torch.aten.int_repr %1967 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],si8>
    %1969 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1970 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1971 = torch.aten.item %1969 : !torch.vtensor<[],f32> -> !torch.float
    %1972 = torch.aten.item %1970 : !torch.vtensor<[],si8> -> !torch.int
    %1973 = torch.aten._make_per_tensor_quantized_tensor %1968, %1971, %1972 : !torch.vtensor<[1,128,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %1974 = torch.aten.dequantize.self %1973 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],f32>
    %1975 = torch.aten.sigmoid %1974 : !torch.vtensor<[1,128,40,40],f32> -> !torch.vtensor<[1,128,40,40],f32>
    %1976 = torch.aten.mul.Tensor %1974, %1975 : !torch.vtensor<[1,128,40,40],f32>, !torch.vtensor<[1,128,40,40],f32> -> !torch.vtensor<[1,128,40,40],f32>
    %1977 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1978 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_427 = torch.constant.int 12
    %1979 = torch.aten.item %1977 : !torch.vtensor<[],f32> -> !torch.float
    %1980 = torch.aten.item %1978 : !torch.vtensor<[],si8> -> !torch.int
    %1981 = torch.aten.quantize_per_tensor %1976, %1979, %1980, %int12_427 : !torch.vtensor<[1,128,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %1982 = torch.aten.int_repr %1981 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],si8>
    %1983 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %1984 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %1985 = torch.aten.item %1983 : !torch.vtensor<[],f32> -> !torch.float
    %1986 = torch.aten.item %1984 : !torch.vtensor<[],si8> -> !torch.int
    %1987 = torch.aten._make_per_tensor_quantized_tensor %1982, %1985, %1986 : !torch.vtensor<[1,128,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %1988 = torch.aten.dequantize.self %1987 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],f32>
    %1989 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1990 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1991 = torch.vtensor.literal(dense<64> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %1992 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_428 = torch.constant.int 0
    %int0_429 = torch.constant.int 0
    %1993 = torch.prim.NumToTensor.Scalar %int0_429 : !torch.int -> !torch.vtensor<[1],si64>
    %1994 = torch.aten.index_select %1990, %int0_428, %1993 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1995 = torch.aten.item %1994 : !torch.vtensor<[1],si64> -> !torch.int
    %1996 = torch.aten.index_select %1991, %int0_428, %1993 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1997 = torch.aten.item %1996 : !torch.vtensor<[1],si64> -> !torch.int
    %1998 = torch.aten.index_select %1989, %int0_428, %1993 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %1999 = torch.aten.item %1998 : !torch.vtensor<[1],si64> -> !torch.int
    %2000 = torch.aten.index_select %1992, %int0_428, %1993 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2001 = torch.aten.item %2000 : !torch.vtensor<[1],si64> -> !torch.int
    %2002 = torch.aten.slice.Tensor %1988, %1999, %1995, %1997, %2001 : !torch.vtensor<[1,128,40,40],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %2003 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2004 = torch.vtensor.literal(dense<64> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2005 = torch.vtensor.literal(dense<128> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2006 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_430 = torch.constant.int 0
    %int0_431 = torch.constant.int 0
    %2007 = torch.prim.NumToTensor.Scalar %int0_431 : !torch.int -> !torch.vtensor<[1],si64>
    %2008 = torch.aten.index_select %2004, %int0_430, %2007 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2009 = torch.aten.item %2008 : !torch.vtensor<[1],si64> -> !torch.int
    %2010 = torch.aten.index_select %2005, %int0_430, %2007 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2011 = torch.aten.item %2010 : !torch.vtensor<[1],si64> -> !torch.int
    %2012 = torch.aten.index_select %2003, %int0_430, %2007 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2013 = torch.aten.item %2012 : !torch.vtensor<[1],si64> -> !torch.int
    %2014 = torch.aten.index_select %2006, %int0_430, %2007 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2015 = torch.aten.item %2014 : !torch.vtensor<[1],si64> -> !torch.int
    %2016 = torch.aten.slice.Tensor %1988, %2013, %2009, %2011, %2015 : !torch.vtensor<[1,128,40,40],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %2017 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2018 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_432 = torch.constant.int 12
    %2019 = torch.aten.item %2017 : !torch.vtensor<[],f32> -> !torch.float
    %2020 = torch.aten.item %2018 : !torch.vtensor<[],si8> -> !torch.int
    %2021 = torch.aten.quantize_per_tensor %56, %2019, %2020, %int12_432 : !torch.vtensor<[64,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %2022 = torch.aten.int_repr %2021 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],si8>
    %2023 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2024 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2025 = torch.aten.item %2023 : !torch.vtensor<[],f32> -> !torch.float
    %2026 = torch.aten.item %2024 : !torch.vtensor<[],si8> -> !torch.int
    %2027 = torch.aten._make_per_tensor_quantized_tensor %2022, %2025, %2026 : !torch.vtensor<[64,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %2028 = torch.aten.dequantize.self %2027 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],f32>
    %2029 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2030 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_433 = torch.constant.int 12
    %2031 = torch.aten.item %2029 : !torch.vtensor<[],f32> -> !torch.float
    %2032 = torch.aten.item %2030 : !torch.vtensor<[],si8> -> !torch.int
    %2033 = torch.aten.quantize_per_tensor %57, %2031, %2032, %int12_433 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2034 = torch.aten.int_repr %2033 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %2035 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2036 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2037 = torch.aten.item %2035 : !torch.vtensor<[],f32> -> !torch.float
    %2038 = torch.aten.item %2036 : !torch.vtensor<[],si8> -> !torch.int
    %2039 = torch.aten._make_per_tensor_quantized_tensor %2034, %2037, %2038 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2040 = torch.aten.dequantize.self %2039 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int1_434 = torch.constant.int 1
    %int1_435 = torch.constant.int 1
    %int1_436 = torch.constant.int 1
    %int1_437 = torch.constant.int 1
    %int1_438 = torch.constant.int 1
    %int1_439 = torch.constant.int 1
    %int0_440 = torch.constant.int 0
    %2041 = torch.prim.ListConstruct %int1_434, %int1_435 : (!torch.int, !torch.int) -> !torch.list<int>
    %2042 = torch.prim.ListConstruct %int1_436, %int1_437 : (!torch.int, !torch.int) -> !torch.list<int>
    %2043 = torch.prim.ListConstruct %int1_438, %int1_439 : (!torch.int, !torch.int) -> !torch.list<int>
    %2044 = torch.prim.ListConstruct %int0_440, %int0_440 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_441 = torch.constant.bool false
    %int1_442 = torch.constant.int 1
    %2045 = torch.aten.convolution %2016, %2028, %2040, %2043, %2041, %2042, %false_441, %2044, %int1_442 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[64,64,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %2046 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2047 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_443 = torch.constant.int 12
    %2048 = torch.aten.item %2046 : !torch.vtensor<[],f32> -> !torch.float
    %2049 = torch.aten.item %2047 : !torch.vtensor<[],si8> -> !torch.int
    %2050 = torch.aten.quantize_per_tensor %2045, %2048, %2049, %int12_443 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %2051 = torch.aten.int_repr %2050 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %2052 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2053 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2054 = torch.aten.item %2052 : !torch.vtensor<[],f32> -> !torch.float
    %2055 = torch.aten.item %2053 : !torch.vtensor<[],si8> -> !torch.int
    %2056 = torch.aten._make_per_tensor_quantized_tensor %2051, %2054, %2055 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %2057 = torch.aten.dequantize.self %2056 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %2058 = torch.aten.sigmoid %2057 : !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %2059 = torch.aten.mul.Tensor %2057, %2058 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %2060 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2061 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_444 = torch.constant.int 12
    %2062 = torch.aten.item %2060 : !torch.vtensor<[],f32> -> !torch.float
    %2063 = torch.aten.item %2061 : !torch.vtensor<[],si8> -> !torch.int
    %2064 = torch.aten.quantize_per_tensor %2059, %2062, %2063, %int12_444 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %2065 = torch.aten.int_repr %2064 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %2066 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2067 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2068 = torch.aten.item %2066 : !torch.vtensor<[],f32> -> !torch.float
    %2069 = torch.aten.item %2067 : !torch.vtensor<[],si8> -> !torch.int
    %2070 = torch.aten._make_per_tensor_quantized_tensor %2065, %2068, %2069 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %2071 = torch.aten.dequantize.self %2070 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %2072 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2073 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_445 = torch.constant.int 12
    %2074 = torch.aten.item %2072 : !torch.vtensor<[],f32> -> !torch.float
    %2075 = torch.aten.item %2073 : !torch.vtensor<[],si8> -> !torch.int
    %2076 = torch.aten.quantize_per_tensor %58, %2074, %2075, %int12_445 : !torch.vtensor<[64,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %2077 = torch.aten.int_repr %2076 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],si8>
    %2078 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2079 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2080 = torch.aten.item %2078 : !torch.vtensor<[],f32> -> !torch.float
    %2081 = torch.aten.item %2079 : !torch.vtensor<[],si8> -> !torch.int
    %2082 = torch.aten._make_per_tensor_quantized_tensor %2077, %2080, %2081 : !torch.vtensor<[64,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %2083 = torch.aten.dequantize.self %2082 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],f32>
    %2084 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2085 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_446 = torch.constant.int 12
    %2086 = torch.aten.item %2084 : !torch.vtensor<[],f32> -> !torch.float
    %2087 = torch.aten.item %2085 : !torch.vtensor<[],si8> -> !torch.int
    %2088 = torch.aten.quantize_per_tensor %59, %2086, %2087, %int12_446 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2089 = torch.aten.int_repr %2088 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %2090 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2091 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2092 = torch.aten.item %2090 : !torch.vtensor<[],f32> -> !torch.float
    %2093 = torch.aten.item %2091 : !torch.vtensor<[],si8> -> !torch.int
    %2094 = torch.aten._make_per_tensor_quantized_tensor %2089, %2092, %2093 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2095 = torch.aten.dequantize.self %2094 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int1_447 = torch.constant.int 1
    %int1_448 = torch.constant.int 1
    %int1_449 = torch.constant.int 1
    %int1_450 = torch.constant.int 1
    %int1_451 = torch.constant.int 1
    %int1_452 = torch.constant.int 1
    %int0_453 = torch.constant.int 0
    %2096 = torch.prim.ListConstruct %int1_447, %int1_448 : (!torch.int, !torch.int) -> !torch.list<int>
    %2097 = torch.prim.ListConstruct %int1_449, %int1_450 : (!torch.int, !torch.int) -> !torch.list<int>
    %2098 = torch.prim.ListConstruct %int1_451, %int1_452 : (!torch.int, !torch.int) -> !torch.list<int>
    %2099 = torch.prim.ListConstruct %int0_453, %int0_453 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_454 = torch.constant.bool false
    %int1_455 = torch.constant.int 1
    %2100 = torch.aten.convolution %2071, %2083, %2095, %2098, %2096, %2097, %false_454, %2099, %int1_455 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[64,64,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %2101 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2102 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_456 = torch.constant.int 12
    %2103 = torch.aten.item %2101 : !torch.vtensor<[],f32> -> !torch.float
    %2104 = torch.aten.item %2102 : !torch.vtensor<[],si8> -> !torch.int
    %2105 = torch.aten.quantize_per_tensor %2100, %2103, %2104, %int12_456 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %2106 = torch.aten.int_repr %2105 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %2107 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2108 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2109 = torch.aten.item %2107 : !torch.vtensor<[],f32> -> !torch.float
    %2110 = torch.aten.item %2108 : !torch.vtensor<[],si8> -> !torch.int
    %2111 = torch.aten._make_per_tensor_quantized_tensor %2106, %2109, %2110 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %2112 = torch.aten.dequantize.self %2111 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %2113 = torch.aten.sigmoid %2112 : !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %2114 = torch.aten.mul.Tensor %2112, %2113 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %2115 = torch.prim.ListConstruct %2002, %2016, %2114 : (!torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32>) -> !torch.list<vtensor>
    %int1_457 = torch.constant.int 1
    %2116 = torch.aten.cat %2115, %int1_457 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[1,192,40,40],f32>
    %2117 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2118 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_458 = torch.constant.int 12
    %2119 = torch.aten.item %2117 : !torch.vtensor<[],f32> -> !torch.float
    %2120 = torch.aten.item %2118 : !torch.vtensor<[],si8> -> !torch.int
    %2121 = torch.aten.quantize_per_tensor %2116, %2119, %2120, %int12_458 : !torch.vtensor<[1,192,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,192,40,40],!torch.qint8>
    %2122 = torch.aten.int_repr %2121 : !torch.vtensor<[1,192,40,40],!torch.qint8> -> !torch.vtensor<[1,192,40,40],si8>
    %2123 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2124 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2125 = torch.aten.item %2123 : !torch.vtensor<[],f32> -> !torch.float
    %2126 = torch.aten.item %2124 : !torch.vtensor<[],si8> -> !torch.int
    %2127 = torch.aten._make_per_tensor_quantized_tensor %2122, %2125, %2126 : !torch.vtensor<[1,192,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,192,40,40],!torch.qint8>
    %2128 = torch.aten.dequantize.self %2127 : !torch.vtensor<[1,192,40,40],!torch.qint8> -> !torch.vtensor<[1,192,40,40],f32>
    %2129 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2130 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_459 = torch.constant.int 12
    %2131 = torch.aten.item %2129 : !torch.vtensor<[],f32> -> !torch.float
    %2132 = torch.aten.item %2130 : !torch.vtensor<[],si8> -> !torch.int
    %2133 = torch.aten.quantize_per_tensor %60, %2131, %2132, %int12_459 : !torch.vtensor<[128,192,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,192,1,1],!torch.qint8>
    %2134 = torch.aten.int_repr %2133 : !torch.vtensor<[128,192,1,1],!torch.qint8> -> !torch.vtensor<[128,192,1,1],si8>
    %2135 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2136 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2137 = torch.aten.item %2135 : !torch.vtensor<[],f32> -> !torch.float
    %2138 = torch.aten.item %2136 : !torch.vtensor<[],si8> -> !torch.int
    %2139 = torch.aten._make_per_tensor_quantized_tensor %2134, %2137, %2138 : !torch.vtensor<[128,192,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,192,1,1],!torch.qint8>
    %2140 = torch.aten.dequantize.self %2139 : !torch.vtensor<[128,192,1,1],!torch.qint8> -> !torch.vtensor<[128,192,1,1],f32>
    %2141 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2142 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_460 = torch.constant.int 12
    %2143 = torch.aten.item %2141 : !torch.vtensor<[],f32> -> !torch.float
    %2144 = torch.aten.item %2142 : !torch.vtensor<[],si8> -> !torch.int
    %2145 = torch.aten.quantize_per_tensor %61, %2143, %2144, %int12_460 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %2146 = torch.aten.int_repr %2145 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %2147 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2148 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2149 = torch.aten.item %2147 : !torch.vtensor<[],f32> -> !torch.float
    %2150 = torch.aten.item %2148 : !torch.vtensor<[],si8> -> !torch.int
    %2151 = torch.aten._make_per_tensor_quantized_tensor %2146, %2149, %2150 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %2152 = torch.aten.dequantize.self %2151 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %int0_461 = torch.constant.int 0
    %int0_462 = torch.constant.int 0
    %int1_463 = torch.constant.int 1
    %int1_464 = torch.constant.int 1
    %int1_465 = torch.constant.int 1
    %int1_466 = torch.constant.int 1
    %int0_467 = torch.constant.int 0
    %2153 = torch.prim.ListConstruct %int0_461, %int0_462 : (!torch.int, !torch.int) -> !torch.list<int>
    %2154 = torch.prim.ListConstruct %int1_463, %int1_464 : (!torch.int, !torch.int) -> !torch.list<int>
    %2155 = torch.prim.ListConstruct %int1_465, %int1_466 : (!torch.int, !torch.int) -> !torch.list<int>
    %2156 = torch.prim.ListConstruct %int0_467, %int0_467 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_468 = torch.constant.bool false
    %int1_469 = torch.constant.int 1
    %2157 = torch.aten.convolution %2128, %2140, %2152, %2155, %2153, %2154, %false_468, %2156, %int1_469 : !torch.vtensor<[1,192,40,40],f32>, !torch.vtensor<[128,192,1,1],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,40,40],f32>
    %2158 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2159 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_470 = torch.constant.int 12
    %2160 = torch.aten.item %2158 : !torch.vtensor<[],f32> -> !torch.float
    %2161 = torch.aten.item %2159 : !torch.vtensor<[],si8> -> !torch.int
    %2162 = torch.aten.quantize_per_tensor %2157, %2160, %2161, %int12_470 : !torch.vtensor<[1,128,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %2163 = torch.aten.int_repr %2162 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],si8>
    %2164 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2165 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2166 = torch.aten.item %2164 : !torch.vtensor<[],f32> -> !torch.float
    %2167 = torch.aten.item %2165 : !torch.vtensor<[],si8> -> !torch.int
    %2168 = torch.aten._make_per_tensor_quantized_tensor %2163, %2166, %2167 : !torch.vtensor<[1,128,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %2169 = torch.aten.dequantize.self %2168 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],f32>
    %2170 = torch.aten.sigmoid %2169 : !torch.vtensor<[1,128,40,40],f32> -> !torch.vtensor<[1,128,40,40],f32>
    %2171 = torch.aten.mul.Tensor %2169, %2170 : !torch.vtensor<[1,128,40,40],f32>, !torch.vtensor<[1,128,40,40],f32> -> !torch.vtensor<[1,128,40,40],f32>
    %2172 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2173 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_471 = 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 %2171, %2174, %2175, %int12_471 : !torch.vtensor<[1,128,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %2177 = torch.aten.int_repr %2176 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],si8>
    %2178 = torch.vtensor.literal(dense<1.562500e-02> : 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<[1,128,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %2183 = torch.aten.dequantize.self %2182 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],f32>
    %2184 = torch.vtensor.literal(dense<1.000000e+00> : tensor<2xf32>) : !torch.vtensor<[2],f32>
    %2185 = torch.vtensor.literal(dense<2.000000e+00> : tensor<2xf32>) : !torch.vtensor<[2],f32>
    %2186 = torch.prim.ListConstruct %2184, %2185 : (!torch.vtensor<[2],f32>, !torch.vtensor<[2],f32>) -> !torch.list<vtensor>
    %int0_472 = torch.constant.int 0
    %2187 = torch.aten.cat %2186, %int0_472 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[4],f32>
    %2188 = torch.operator "onnx.Resize"(%2183, %none, %2187) {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<[1,128,40,40],f32>, !torch.none, !torch.vtensor<[4],f32>) -> !torch.vtensor<[?,?,?,?],f32> 
    %2189 = torch.prim.ListConstruct %2188, %992 : (!torch.vtensor<[?,?,?,?],f32>, !torch.vtensor<[1,64,80,80],f32>) -> !torch.list<vtensor>
    %int1_473 = torch.constant.int 1
    %2190 = torch.aten.cat %2189, %int1_473 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[1,?,80,80],f32>
    %2191 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2192 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_474 = torch.constant.int 12
    %2193 = torch.aten.item %2191 : !torch.vtensor<[],f32> -> !torch.float
    %2194 = torch.aten.item %2192 : !torch.vtensor<[],si8> -> !torch.int
    %2195 = torch.aten.quantize_per_tensor %2190, %2193, %2194, %int12_474 : !torch.vtensor<[1,?,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,?,80,80],!torch.qint8>
    %2196 = torch.aten.int_repr %2195 : !torch.vtensor<[1,?,80,80],!torch.qint8> -> !torch.vtensor<[1,?,80,80],si8>
    %2197 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2198 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2199 = torch.aten.item %2197 : !torch.vtensor<[],f32> -> !torch.float
    %2200 = torch.aten.item %2198 : !torch.vtensor<[],si8> -> !torch.int
    %2201 = torch.aten._make_per_tensor_quantized_tensor %2196, %2199, %2200 : !torch.vtensor<[1,?,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,?,80,80],!torch.qint8>
    %2202 = torch.aten.dequantize.self %2201 : !torch.vtensor<[1,?,80,80],!torch.qint8> -> !torch.vtensor<[1,?,80,80],f32>
    %2203 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2204 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_475 = torch.constant.int 12
    %2205 = torch.aten.item %2203 : !torch.vtensor<[],f32> -> !torch.float
    %2206 = torch.aten.item %2204 : !torch.vtensor<[],si8> -> !torch.int
    %2207 = torch.aten.quantize_per_tensor %62, %2205, %2206, %int12_475 : !torch.vtensor<[64,192,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,192,1,1],!torch.qint8>
    %2208 = torch.aten.int_repr %2207 : !torch.vtensor<[64,192,1,1],!torch.qint8> -> !torch.vtensor<[64,192,1,1],si8>
    %2209 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2210 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2211 = torch.aten.item %2209 : !torch.vtensor<[],f32> -> !torch.float
    %2212 = torch.aten.item %2210 : !torch.vtensor<[],si8> -> !torch.int
    %2213 = torch.aten._make_per_tensor_quantized_tensor %2208, %2211, %2212 : !torch.vtensor<[64,192,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,192,1,1],!torch.qint8>
    %2214 = torch.aten.dequantize.self %2213 : !torch.vtensor<[64,192,1,1],!torch.qint8> -> !torch.vtensor<[64,192,1,1],f32>
    %2215 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2216 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_476 = torch.constant.int 12
    %2217 = torch.aten.item %2215 : !torch.vtensor<[],f32> -> !torch.float
    %2218 = torch.aten.item %2216 : !torch.vtensor<[],si8> -> !torch.int
    %2219 = torch.aten.quantize_per_tensor %63, %2217, %2218, %int12_476 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2220 = torch.aten.int_repr %2219 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %2221 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2222 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2223 = torch.aten.item %2221 : !torch.vtensor<[],f32> -> !torch.float
    %2224 = torch.aten.item %2222 : !torch.vtensor<[],si8> -> !torch.int
    %2225 = torch.aten._make_per_tensor_quantized_tensor %2220, %2223, %2224 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2226 = torch.aten.dequantize.self %2225 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int0_477 = torch.constant.int 0
    %int0_478 = torch.constant.int 0
    %int1_479 = torch.constant.int 1
    %int1_480 = torch.constant.int 1
    %int1_481 = torch.constant.int 1
    %int1_482 = torch.constant.int 1
    %int0_483 = torch.constant.int 0
    %2227 = torch.prim.ListConstruct %int0_477, %int0_478 : (!torch.int, !torch.int) -> !torch.list<int>
    %2228 = torch.prim.ListConstruct %int1_479, %int1_480 : (!torch.int, !torch.int) -> !torch.list<int>
    %2229 = torch.prim.ListConstruct %int1_481, %int1_482 : (!torch.int, !torch.int) -> !torch.list<int>
    %2230 = torch.prim.ListConstruct %int0_483, %int0_483 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_484 = torch.constant.bool false
    %int1_485 = torch.constant.int 1
    %2231 = torch.aten.convolution %2202, %2214, %2226, %2229, %2227, %2228, %false_484, %2230, %int1_485 : !torch.vtensor<[1,?,80,80],f32>, !torch.vtensor<[64,192,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,80,80],f32>
    %2232 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2233 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_486 = torch.constant.int 12
    %2234 = torch.aten.item %2232 : !torch.vtensor<[],f32> -> !torch.float
    %2235 = torch.aten.item %2233 : !torch.vtensor<[],si8> -> !torch.int
    %2236 = torch.aten.quantize_per_tensor %2231, %2234, %2235, %int12_486 : !torch.vtensor<[1,64,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %2237 = torch.aten.int_repr %2236 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],si8>
    %2238 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2239 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2240 = torch.aten.item %2238 : !torch.vtensor<[],f32> -> !torch.float
    %2241 = torch.aten.item %2239 : !torch.vtensor<[],si8> -> !torch.int
    %2242 = torch.aten._make_per_tensor_quantized_tensor %2237, %2240, %2241 : !torch.vtensor<[1,64,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %2243 = torch.aten.dequantize.self %2242 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],f32>
    %2244 = torch.aten.sigmoid %2243 : !torch.vtensor<[1,64,80,80],f32> -> !torch.vtensor<[1,64,80,80],f32>
    %2245 = torch.aten.mul.Tensor %2243, %2244 : !torch.vtensor<[1,64,80,80],f32>, !torch.vtensor<[1,64,80,80],f32> -> !torch.vtensor<[1,64,80,80],f32>
    %2246 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2247 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_487 = torch.constant.int 12
    %2248 = torch.aten.item %2246 : !torch.vtensor<[],f32> -> !torch.float
    %2249 = torch.aten.item %2247 : !torch.vtensor<[],si8> -> !torch.int
    %2250 = torch.aten.quantize_per_tensor %2245, %2248, %2249, %int12_487 : !torch.vtensor<[1,64,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %2251 = torch.aten.int_repr %2250 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],si8>
    %2252 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2253 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2254 = torch.aten.item %2252 : !torch.vtensor<[],f32> -> !torch.float
    %2255 = torch.aten.item %2253 : !torch.vtensor<[],si8> -> !torch.int
    %2256 = torch.aten._make_per_tensor_quantized_tensor %2251, %2254, %2255 : !torch.vtensor<[1,64,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %2257 = torch.aten.dequantize.self %2256 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],f32>
    %2258 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2259 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2260 = torch.vtensor.literal(dense<32> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2261 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_488 = torch.constant.int 0
    %int0_489 = torch.constant.int 0
    %2262 = torch.prim.NumToTensor.Scalar %int0_489 : !torch.int -> !torch.vtensor<[1],si64>
    %2263 = torch.aten.index_select %2259, %int0_488, %2262 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2264 = torch.aten.item %2263 : !torch.vtensor<[1],si64> -> !torch.int
    %2265 = torch.aten.index_select %2260, %int0_488, %2262 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2266 = torch.aten.item %2265 : !torch.vtensor<[1],si64> -> !torch.int
    %2267 = torch.aten.index_select %2258, %int0_488, %2262 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2268 = torch.aten.item %2267 : !torch.vtensor<[1],si64> -> !torch.int
    %2269 = torch.aten.index_select %2261, %int0_488, %2262 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2270 = torch.aten.item %2269 : !torch.vtensor<[1],si64> -> !torch.int
    %2271 = torch.aten.slice.Tensor %2257, %2268, %2264, %2266, %2270 : !torch.vtensor<[1,64,80,80],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[1,32,80,80],f32>
    %2272 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2273 = torch.vtensor.literal(dense<32> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2274 = torch.vtensor.literal(dense<64> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2275 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_490 = torch.constant.int 0
    %int0_491 = torch.constant.int 0
    %2276 = torch.prim.NumToTensor.Scalar %int0_491 : !torch.int -> !torch.vtensor<[1],si64>
    %2277 = torch.aten.index_select %2273, %int0_490, %2276 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2278 = torch.aten.item %2277 : !torch.vtensor<[1],si64> -> !torch.int
    %2279 = torch.aten.index_select %2274, %int0_490, %2276 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2280 = torch.aten.item %2279 : !torch.vtensor<[1],si64> -> !torch.int
    %2281 = torch.aten.index_select %2272, %int0_490, %2276 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2282 = torch.aten.item %2281 : !torch.vtensor<[1],si64> -> !torch.int
    %2283 = torch.aten.index_select %2275, %int0_490, %2276 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2284 = torch.aten.item %2283 : !torch.vtensor<[1],si64> -> !torch.int
    %2285 = torch.aten.slice.Tensor %2257, %2282, %2278, %2280, %2284 : !torch.vtensor<[1,64,80,80],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[1,32,80,80],f32>
    %2286 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2287 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_492 = torch.constant.int 12
    %2288 = torch.aten.item %2286 : !torch.vtensor<[],f32> -> !torch.float
    %2289 = torch.aten.item %2287 : !torch.vtensor<[],si8> -> !torch.int
    %2290 = torch.aten.quantize_per_tensor %64, %2288, %2289, %int12_492 : !torch.vtensor<[32,32,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,32,3,3],!torch.qint8>
    %2291 = torch.aten.int_repr %2290 : !torch.vtensor<[32,32,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3],si8>
    %2292 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2293 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2294 = torch.aten.item %2292 : !torch.vtensor<[],f32> -> !torch.float
    %2295 = torch.aten.item %2293 : !torch.vtensor<[],si8> -> !torch.int
    %2296 = torch.aten._make_per_tensor_quantized_tensor %2291, %2294, %2295 : !torch.vtensor<[32,32,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,32,3,3],!torch.qint8>
    %2297 = torch.aten.dequantize.self %2296 : !torch.vtensor<[32,32,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3],f32>
    %2298 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2299 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_493 = torch.constant.int 12
    %2300 = torch.aten.item %2298 : !torch.vtensor<[],f32> -> !torch.float
    %2301 = torch.aten.item %2299 : !torch.vtensor<[],si8> -> !torch.int
    %2302 = torch.aten.quantize_per_tensor %65, %2300, %2301, %int12_493 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %2303 = torch.aten.int_repr %2302 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
    %2304 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2305 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2306 = torch.aten.item %2304 : !torch.vtensor<[],f32> -> !torch.float
    %2307 = torch.aten.item %2305 : !torch.vtensor<[],si8> -> !torch.int
    %2308 = torch.aten._make_per_tensor_quantized_tensor %2303, %2306, %2307 : !torch.vtensor<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %2309 = torch.aten.dequantize.self %2308 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
    %int1_494 = torch.constant.int 1
    %int1_495 = torch.constant.int 1
    %int1_496 = torch.constant.int 1
    %int1_497 = torch.constant.int 1
    %int1_498 = torch.constant.int 1
    %int1_499 = torch.constant.int 1
    %int0_500 = torch.constant.int 0
    %2310 = torch.prim.ListConstruct %int1_494, %int1_495 : (!torch.int, !torch.int) -> !torch.list<int>
    %2311 = torch.prim.ListConstruct %int1_496, %int1_497 : (!torch.int, !torch.int) -> !torch.list<int>
    %2312 = torch.prim.ListConstruct %int1_498, %int1_499 : (!torch.int, !torch.int) -> !torch.list<int>
    %2313 = torch.prim.ListConstruct %int0_500, %int0_500 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_501 = torch.constant.bool false
    %int1_502 = torch.constant.int 1
    %2314 = torch.aten.convolution %2285, %2297, %2309, %2312, %2310, %2311, %false_501, %2313, %int1_502 : !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[32,32,3,3],f32>, !torch.vtensor<[32],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,32,80,80],f32>
    %2315 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2316 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_503 = torch.constant.int 12
    %2317 = torch.aten.item %2315 : !torch.vtensor<[],f32> -> !torch.float
    %2318 = torch.aten.item %2316 : !torch.vtensor<[],si8> -> !torch.int
    %2319 = torch.aten.quantize_per_tensor %2314, %2317, %2318, %int12_503 : !torch.vtensor<[1,32,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %2320 = torch.aten.int_repr %2319 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],si8>
    %2321 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2322 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2323 = torch.aten.item %2321 : !torch.vtensor<[],f32> -> !torch.float
    %2324 = torch.aten.item %2322 : !torch.vtensor<[],si8> -> !torch.int
    %2325 = torch.aten._make_per_tensor_quantized_tensor %2320, %2323, %2324 : !torch.vtensor<[1,32,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %2326 = torch.aten.dequantize.self %2325 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],f32>
    %2327 = torch.aten.sigmoid %2326 : !torch.vtensor<[1,32,80,80],f32> -> !torch.vtensor<[1,32,80,80],f32>
    %2328 = torch.aten.mul.Tensor %2326, %2327 : !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[1,32,80,80],f32> -> !torch.vtensor<[1,32,80,80],f32>
    %2329 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2330 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_504 = torch.constant.int 12
    %2331 = torch.aten.item %2329 : !torch.vtensor<[],f32> -> !torch.float
    %2332 = torch.aten.item %2330 : !torch.vtensor<[],si8> -> !torch.int
    %2333 = torch.aten.quantize_per_tensor %2328, %2331, %2332, %int12_504 : !torch.vtensor<[1,32,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %2334 = torch.aten.int_repr %2333 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],si8>
    %2335 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2336 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2337 = torch.aten.item %2335 : !torch.vtensor<[],f32> -> !torch.float
    %2338 = torch.aten.item %2336 : !torch.vtensor<[],si8> -> !torch.int
    %2339 = torch.aten._make_per_tensor_quantized_tensor %2334, %2337, %2338 : !torch.vtensor<[1,32,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %2340 = torch.aten.dequantize.self %2339 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],f32>
    %2341 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2342 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_505 = torch.constant.int 12
    %2343 = torch.aten.item %2341 : !torch.vtensor<[],f32> -> !torch.float
    %2344 = torch.aten.item %2342 : !torch.vtensor<[],si8> -> !torch.int
    %2345 = torch.aten.quantize_per_tensor %66, %2343, %2344, %int12_505 : !torch.vtensor<[32,32,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,32,3,3],!torch.qint8>
    %2346 = torch.aten.int_repr %2345 : !torch.vtensor<[32,32,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3],si8>
    %2347 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2348 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2349 = torch.aten.item %2347 : !torch.vtensor<[],f32> -> !torch.float
    %2350 = torch.aten.item %2348 : !torch.vtensor<[],si8> -> !torch.int
    %2351 = torch.aten._make_per_tensor_quantized_tensor %2346, %2349, %2350 : !torch.vtensor<[32,32,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,32,3,3],!torch.qint8>
    %2352 = torch.aten.dequantize.self %2351 : !torch.vtensor<[32,32,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3],f32>
    %2353 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2354 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_506 = torch.constant.int 12
    %2355 = torch.aten.item %2353 : !torch.vtensor<[],f32> -> !torch.float
    %2356 = torch.aten.item %2354 : !torch.vtensor<[],si8> -> !torch.int
    %2357 = torch.aten.quantize_per_tensor %67, %2355, %2356, %int12_506 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %2358 = torch.aten.int_repr %2357 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
    %2359 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2360 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2361 = torch.aten.item %2359 : !torch.vtensor<[],f32> -> !torch.float
    %2362 = torch.aten.item %2360 : !torch.vtensor<[],si8> -> !torch.int
    %2363 = torch.aten._make_per_tensor_quantized_tensor %2358, %2361, %2362 : !torch.vtensor<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
    %2364 = torch.aten.dequantize.self %2363 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
    %int1_507 = torch.constant.int 1
    %int1_508 = torch.constant.int 1
    %int1_509 = torch.constant.int 1
    %int1_510 = torch.constant.int 1
    %int1_511 = torch.constant.int 1
    %int1_512 = torch.constant.int 1
    %int0_513 = torch.constant.int 0
    %2365 = torch.prim.ListConstruct %int1_507, %int1_508 : (!torch.int, !torch.int) -> !torch.list<int>
    %2366 = torch.prim.ListConstruct %int1_509, %int1_510 : (!torch.int, !torch.int) -> !torch.list<int>
    %2367 = torch.prim.ListConstruct %int1_511, %int1_512 : (!torch.int, !torch.int) -> !torch.list<int>
    %2368 = torch.prim.ListConstruct %int0_513, %int0_513 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_514 = torch.constant.bool false
    %int1_515 = torch.constant.int 1
    %2369 = torch.aten.convolution %2340, %2352, %2364, %2367, %2365, %2366, %false_514, %2368, %int1_515 : !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[32,32,3,3],f32>, !torch.vtensor<[32],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,32,80,80],f32>
    %2370 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2371 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_516 = torch.constant.int 12
    %2372 = torch.aten.item %2370 : !torch.vtensor<[],f32> -> !torch.float
    %2373 = torch.aten.item %2371 : !torch.vtensor<[],si8> -> !torch.int
    %2374 = torch.aten.quantize_per_tensor %2369, %2372, %2373, %int12_516 : !torch.vtensor<[1,32,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %2375 = torch.aten.int_repr %2374 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],si8>
    %2376 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2377 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2378 = torch.aten.item %2376 : !torch.vtensor<[],f32> -> !torch.float
    %2379 = torch.aten.item %2377 : !torch.vtensor<[],si8> -> !torch.int
    %2380 = torch.aten._make_per_tensor_quantized_tensor %2375, %2378, %2379 : !torch.vtensor<[1,32,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,32,80,80],!torch.qint8>
    %2381 = torch.aten.dequantize.self %2380 : !torch.vtensor<[1,32,80,80],!torch.qint8> -> !torch.vtensor<[1,32,80,80],f32>
    %2382 = torch.aten.sigmoid %2381 : !torch.vtensor<[1,32,80,80],f32> -> !torch.vtensor<[1,32,80,80],f32>
    %2383 = torch.aten.mul.Tensor %2381, %2382 : !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[1,32,80,80],f32> -> !torch.vtensor<[1,32,80,80],f32>
    %2384 = torch.prim.ListConstruct %2271, %2285, %2383 : (!torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[1,32,80,80],f32>, !torch.vtensor<[1,32,80,80],f32>) -> !torch.list<vtensor>
    %int1_517 = torch.constant.int 1
    %2385 = torch.aten.cat %2384, %int1_517 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[1,96,80,80],f32>
    %2386 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2387 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_518 = torch.constant.int 12
    %2388 = torch.aten.item %2386 : !torch.vtensor<[],f32> -> !torch.float
    %2389 = torch.aten.item %2387 : !torch.vtensor<[],si8> -> !torch.int
    %2390 = torch.aten.quantize_per_tensor %2385, %2388, %2389, %int12_518 : !torch.vtensor<[1,96,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,96,80,80],!torch.qint8>
    %2391 = torch.aten.int_repr %2390 : !torch.vtensor<[1,96,80,80],!torch.qint8> -> !torch.vtensor<[1,96,80,80],si8>
    %2392 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2393 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2394 = torch.aten.item %2392 : !torch.vtensor<[],f32> -> !torch.float
    %2395 = torch.aten.item %2393 : !torch.vtensor<[],si8> -> !torch.int
    %2396 = torch.aten._make_per_tensor_quantized_tensor %2391, %2394, %2395 : !torch.vtensor<[1,96,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,96,80,80],!torch.qint8>
    %2397 = torch.aten.dequantize.self %2396 : !torch.vtensor<[1,96,80,80],!torch.qint8> -> !torch.vtensor<[1,96,80,80],f32>
    %2398 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2399 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_519 = torch.constant.int 12
    %2400 = torch.aten.item %2398 : !torch.vtensor<[],f32> -> !torch.float
    %2401 = torch.aten.item %2399 : !torch.vtensor<[],si8> -> !torch.int
    %2402 = torch.aten.quantize_per_tensor %68, %2400, %2401, %int12_519 : !torch.vtensor<[64,96,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,96,1,1],!torch.qint8>
    %2403 = torch.aten.int_repr %2402 : !torch.vtensor<[64,96,1,1],!torch.qint8> -> !torch.vtensor<[64,96,1,1],si8>
    %2404 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2405 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2406 = torch.aten.item %2404 : !torch.vtensor<[],f32> -> !torch.float
    %2407 = torch.aten.item %2405 : !torch.vtensor<[],si8> -> !torch.int
    %2408 = torch.aten._make_per_tensor_quantized_tensor %2403, %2406, %2407 : !torch.vtensor<[64,96,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,96,1,1],!torch.qint8>
    %2409 = torch.aten.dequantize.self %2408 : !torch.vtensor<[64,96,1,1],!torch.qint8> -> !torch.vtensor<[64,96,1,1],f32>
    %2410 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2411 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_520 = torch.constant.int 12
    %2412 = torch.aten.item %2410 : !torch.vtensor<[],f32> -> !torch.float
    %2413 = torch.aten.item %2411 : !torch.vtensor<[],si8> -> !torch.int
    %2414 = torch.aten.quantize_per_tensor %69, %2412, %2413, %int12_520 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2415 = torch.aten.int_repr %2414 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %2416 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2417 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2418 = torch.aten.item %2416 : !torch.vtensor<[],f32> -> !torch.float
    %2419 = torch.aten.item %2417 : !torch.vtensor<[],si8> -> !torch.int
    %2420 = torch.aten._make_per_tensor_quantized_tensor %2415, %2418, %2419 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2421 = torch.aten.dequantize.self %2420 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int0_521 = torch.constant.int 0
    %int0_522 = torch.constant.int 0
    %int1_523 = torch.constant.int 1
    %int1_524 = torch.constant.int 1
    %int1_525 = torch.constant.int 1
    %int1_526 = torch.constant.int 1
    %int0_527 = torch.constant.int 0
    %2422 = torch.prim.ListConstruct %int0_521, %int0_522 : (!torch.int, !torch.int) -> !torch.list<int>
    %2423 = torch.prim.ListConstruct %int1_523, %int1_524 : (!torch.int, !torch.int) -> !torch.list<int>
    %2424 = torch.prim.ListConstruct %int1_525, %int1_526 : (!torch.int, !torch.int) -> !torch.list<int>
    %2425 = torch.prim.ListConstruct %int0_527, %int0_527 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_528 = torch.constant.bool false
    %int1_529 = torch.constant.int 1
    %2426 = torch.aten.convolution %2397, %2409, %2421, %2424, %2422, %2423, %false_528, %2425, %int1_529 : !torch.vtensor<[1,96,80,80],f32>, !torch.vtensor<[64,96,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,80,80],f32>
    %2427 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2428 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_530 = torch.constant.int 12
    %2429 = torch.aten.item %2427 : !torch.vtensor<[],f32> -> !torch.float
    %2430 = torch.aten.item %2428 : !torch.vtensor<[],si8> -> !torch.int
    %2431 = torch.aten.quantize_per_tensor %2426, %2429, %2430, %int12_530 : !torch.vtensor<[1,64,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %2432 = torch.aten.int_repr %2431 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],si8>
    %2433 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2434 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2435 = torch.aten.item %2433 : !torch.vtensor<[],f32> -> !torch.float
    %2436 = torch.aten.item %2434 : !torch.vtensor<[],si8> -> !torch.int
    %2437 = torch.aten._make_per_tensor_quantized_tensor %2432, %2435, %2436 : !torch.vtensor<[1,64,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %2438 = torch.aten.dequantize.self %2437 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],f32>
    %2439 = torch.aten.sigmoid %2438 : !torch.vtensor<[1,64,80,80],f32> -> !torch.vtensor<[1,64,80,80],f32>
    %2440 = torch.aten.mul.Tensor %2438, %2439 : !torch.vtensor<[1,64,80,80],f32>, !torch.vtensor<[1,64,80,80],f32> -> !torch.vtensor<[1,64,80,80],f32>
    %2441 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2442 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_531 = torch.constant.int 12
    %2443 = torch.aten.item %2441 : !torch.vtensor<[],f32> -> !torch.float
    %2444 = torch.aten.item %2442 : !torch.vtensor<[],si8> -> !torch.int
    %2445 = torch.aten.quantize_per_tensor %2440, %2443, %2444, %int12_531 : !torch.vtensor<[1,64,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %2446 = torch.aten.int_repr %2445 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],si8>
    %2447 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2448 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2449 = torch.aten.item %2447 : !torch.vtensor<[],f32> -> !torch.float
    %2450 = torch.aten.item %2448 : !torch.vtensor<[],si8> -> !torch.int
    %2451 = torch.aten._make_per_tensor_quantized_tensor %2446, %2449, %2450 : !torch.vtensor<[1,64,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %2452 = torch.aten.dequantize.self %2451 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],f32>
    %2453 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2454 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_532 = torch.constant.int 12
    %2455 = torch.aten.item %2453 : !torch.vtensor<[],f32> -> !torch.float
    %2456 = torch.aten.item %2454 : !torch.vtensor<[],si8> -> !torch.int
    %2457 = torch.aten.quantize_per_tensor %70, %2455, %2456, %int12_532 : !torch.vtensor<[64,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %2458 = torch.aten.int_repr %2457 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],si8>
    %2459 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2460 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2461 = torch.aten.item %2459 : !torch.vtensor<[],f32> -> !torch.float
    %2462 = torch.aten.item %2460 : !torch.vtensor<[],si8> -> !torch.int
    %2463 = torch.aten._make_per_tensor_quantized_tensor %2458, %2461, %2462 : !torch.vtensor<[64,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %2464 = torch.aten.dequantize.self %2463 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],f32>
    %2465 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2466 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_533 = torch.constant.int 12
    %2467 = torch.aten.item %2465 : !torch.vtensor<[],f32> -> !torch.float
    %2468 = torch.aten.item %2466 : !torch.vtensor<[],si8> -> !torch.int
    %2469 = torch.aten.quantize_per_tensor %71, %2467, %2468, %int12_533 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2470 = torch.aten.int_repr %2469 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %2471 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2472 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2473 = torch.aten.item %2471 : !torch.vtensor<[],f32> -> !torch.float
    %2474 = torch.aten.item %2472 : !torch.vtensor<[],si8> -> !torch.int
    %2475 = torch.aten._make_per_tensor_quantized_tensor %2470, %2473, %2474 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2476 = torch.aten.dequantize.self %2475 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int1_534 = torch.constant.int 1
    %int1_535 = torch.constant.int 1
    %int1_536 = torch.constant.int 1
    %int1_537 = torch.constant.int 1
    %int2_538 = torch.constant.int 2
    %int2_539 = torch.constant.int 2
    %int0_540 = torch.constant.int 0
    %2477 = torch.prim.ListConstruct %int1_534, %int1_535 : (!torch.int, !torch.int) -> !torch.list<int>
    %2478 = torch.prim.ListConstruct %int1_536, %int1_537 : (!torch.int, !torch.int) -> !torch.list<int>
    %2479 = torch.prim.ListConstruct %int2_538, %int2_539 : (!torch.int, !torch.int) -> !torch.list<int>
    %2480 = torch.prim.ListConstruct %int0_540, %int0_540 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_541 = torch.constant.bool false
    %int1_542 = torch.constant.int 1
    %2481 = torch.aten.convolution %2452, %2464, %2476, %2479, %2477, %2478, %false_541, %2480, %int1_542 : !torch.vtensor<[1,64,80,80],f32>, !torch.vtensor<[64,64,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %2482 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2483 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_543 = 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 %2481, %2484, %2485, %int12_543 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %2487 = torch.aten.int_repr %2486 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %2488 = torch.vtensor.literal(dense<3.125000e-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<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %2493 = torch.aten.dequantize.self %2492 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %2494 = torch.aten.sigmoid %2493 : !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %2495 = torch.aten.mul.Tensor %2493, %2494 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %2496 = torch.prim.ListConstruct %2495, %2183 : (!torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,128,40,40],f32>) -> !torch.list<vtensor>
    %int1_544 = torch.constant.int 1
    %2497 = torch.aten.cat %2496, %int1_544 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[1,192,40,40],f32>
    %2498 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2499 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_545 = torch.constant.int 12
    %2500 = torch.aten.item %2498 : !torch.vtensor<[],f32> -> !torch.float
    %2501 = torch.aten.item %2499 : !torch.vtensor<[],si8> -> !torch.int
    %2502 = torch.aten.quantize_per_tensor %2497, %2500, %2501, %int12_545 : !torch.vtensor<[1,192,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,192,40,40],!torch.qint8>
    %2503 = torch.aten.int_repr %2502 : !torch.vtensor<[1,192,40,40],!torch.qint8> -> !torch.vtensor<[1,192,40,40],si8>
    %2504 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2505 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2506 = torch.aten.item %2504 : !torch.vtensor<[],f32> -> !torch.float
    %2507 = torch.aten.item %2505 : !torch.vtensor<[],si8> -> !torch.int
    %2508 = torch.aten._make_per_tensor_quantized_tensor %2503, %2506, %2507 : !torch.vtensor<[1,192,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,192,40,40],!torch.qint8>
    %2509 = torch.aten.dequantize.self %2508 : !torch.vtensor<[1,192,40,40],!torch.qint8> -> !torch.vtensor<[1,192,40,40],f32>
    %2510 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2511 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_546 = torch.constant.int 12
    %2512 = torch.aten.item %2510 : !torch.vtensor<[],f32> -> !torch.float
    %2513 = torch.aten.item %2511 : !torch.vtensor<[],si8> -> !torch.int
    %2514 = torch.aten.quantize_per_tensor %72, %2512, %2513, %int12_546 : !torch.vtensor<[128,192,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,192,1,1],!torch.qint8>
    %2515 = torch.aten.int_repr %2514 : !torch.vtensor<[128,192,1,1],!torch.qint8> -> !torch.vtensor<[128,192,1,1],si8>
    %2516 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2517 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2518 = torch.aten.item %2516 : !torch.vtensor<[],f32> -> !torch.float
    %2519 = torch.aten.item %2517 : !torch.vtensor<[],si8> -> !torch.int
    %2520 = torch.aten._make_per_tensor_quantized_tensor %2515, %2518, %2519 : !torch.vtensor<[128,192,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,192,1,1],!torch.qint8>
    %2521 = torch.aten.dequantize.self %2520 : !torch.vtensor<[128,192,1,1],!torch.qint8> -> !torch.vtensor<[128,192,1,1],f32>
    %2522 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2523 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_547 = torch.constant.int 12
    %2524 = torch.aten.item %2522 : !torch.vtensor<[],f32> -> !torch.float
    %2525 = torch.aten.item %2523 : !torch.vtensor<[],si8> -> !torch.int
    %2526 = torch.aten.quantize_per_tensor %73, %2524, %2525, %int12_547 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %2527 = torch.aten.int_repr %2526 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %2528 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2529 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2530 = torch.aten.item %2528 : !torch.vtensor<[],f32> -> !torch.float
    %2531 = torch.aten.item %2529 : !torch.vtensor<[],si8> -> !torch.int
    %2532 = torch.aten._make_per_tensor_quantized_tensor %2527, %2530, %2531 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %2533 = torch.aten.dequantize.self %2532 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %int0_548 = torch.constant.int 0
    %int0_549 = torch.constant.int 0
    %int1_550 = torch.constant.int 1
    %int1_551 = torch.constant.int 1
    %int1_552 = torch.constant.int 1
    %int1_553 = torch.constant.int 1
    %int0_554 = torch.constant.int 0
    %2534 = torch.prim.ListConstruct %int0_548, %int0_549 : (!torch.int, !torch.int) -> !torch.list<int>
    %2535 = torch.prim.ListConstruct %int1_550, %int1_551 : (!torch.int, !torch.int) -> !torch.list<int>
    %2536 = torch.prim.ListConstruct %int1_552, %int1_553 : (!torch.int, !torch.int) -> !torch.list<int>
    %2537 = torch.prim.ListConstruct %int0_554, %int0_554 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_555 = torch.constant.bool false
    %int1_556 = torch.constant.int 1
    %2538 = torch.aten.convolution %2509, %2521, %2533, %2536, %2534, %2535, %false_555, %2537, %int1_556 : !torch.vtensor<[1,192,40,40],f32>, !torch.vtensor<[128,192,1,1],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,40,40],f32>
    %2539 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2540 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_557 = torch.constant.int 12
    %2541 = torch.aten.item %2539 : !torch.vtensor<[],f32> -> !torch.float
    %2542 = torch.aten.item %2540 : !torch.vtensor<[],si8> -> !torch.int
    %2543 = torch.aten.quantize_per_tensor %2538, %2541, %2542, %int12_557 : !torch.vtensor<[1,128,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %2544 = torch.aten.int_repr %2543 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],si8>
    %2545 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2546 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2547 = torch.aten.item %2545 : !torch.vtensor<[],f32> -> !torch.float
    %2548 = torch.aten.item %2546 : !torch.vtensor<[],si8> -> !torch.int
    %2549 = torch.aten._make_per_tensor_quantized_tensor %2544, %2547, %2548 : !torch.vtensor<[1,128,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %2550 = torch.aten.dequantize.self %2549 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],f32>
    %2551 = torch.aten.sigmoid %2550 : !torch.vtensor<[1,128,40,40],f32> -> !torch.vtensor<[1,128,40,40],f32>
    %2552 = torch.aten.mul.Tensor %2550, %2551 : !torch.vtensor<[1,128,40,40],f32>, !torch.vtensor<[1,128,40,40],f32> -> !torch.vtensor<[1,128,40,40],f32>
    %2553 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2554 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_558 = torch.constant.int 12
    %2555 = torch.aten.item %2553 : !torch.vtensor<[],f32> -> !torch.float
    %2556 = torch.aten.item %2554 : !torch.vtensor<[],si8> -> !torch.int
    %2557 = torch.aten.quantize_per_tensor %2552, %2555, %2556, %int12_558 : !torch.vtensor<[1,128,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %2558 = torch.aten.int_repr %2557 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],si8>
    %2559 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2560 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2561 = torch.aten.item %2559 : !torch.vtensor<[],f32> -> !torch.float
    %2562 = torch.aten.item %2560 : !torch.vtensor<[],si8> -> !torch.int
    %2563 = torch.aten._make_per_tensor_quantized_tensor %2558, %2561, %2562 : !torch.vtensor<[1,128,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %2564 = torch.aten.dequantize.self %2563 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],f32>
    %2565 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2566 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2567 = torch.vtensor.literal(dense<64> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2568 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_559 = torch.constant.int 0
    %int0_560 = torch.constant.int 0
    %2569 = torch.prim.NumToTensor.Scalar %int0_560 : !torch.int -> !torch.vtensor<[1],si64>
    %2570 = torch.aten.index_select %2566, %int0_559, %2569 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2571 = torch.aten.item %2570 : !torch.vtensor<[1],si64> -> !torch.int
    %2572 = torch.aten.index_select %2567, %int0_559, %2569 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2573 = torch.aten.item %2572 : !torch.vtensor<[1],si64> -> !torch.int
    %2574 = torch.aten.index_select %2565, %int0_559, %2569 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2575 = torch.aten.item %2574 : !torch.vtensor<[1],si64> -> !torch.int
    %2576 = torch.aten.index_select %2568, %int0_559, %2569 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2577 = torch.aten.item %2576 : !torch.vtensor<[1],si64> -> !torch.int
    %2578 = torch.aten.slice.Tensor %2564, %2575, %2571, %2573, %2577 : !torch.vtensor<[1,128,40,40],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %2579 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2580 = torch.vtensor.literal(dense<64> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2581 = torch.vtensor.literal(dense<128> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2582 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_561 = torch.constant.int 0
    %int0_562 = torch.constant.int 0
    %2583 = torch.prim.NumToTensor.Scalar %int0_562 : !torch.int -> !torch.vtensor<[1],si64>
    %2584 = torch.aten.index_select %2580, %int0_561, %2583 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2585 = torch.aten.item %2584 : !torch.vtensor<[1],si64> -> !torch.int
    %2586 = torch.aten.index_select %2581, %int0_561, %2583 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2587 = torch.aten.item %2586 : !torch.vtensor<[1],si64> -> !torch.int
    %2588 = torch.aten.index_select %2579, %int0_561, %2583 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2589 = torch.aten.item %2588 : !torch.vtensor<[1],si64> -> !torch.int
    %2590 = torch.aten.index_select %2582, %int0_561, %2583 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2591 = torch.aten.item %2590 : !torch.vtensor<[1],si64> -> !torch.int
    %2592 = torch.aten.slice.Tensor %2564, %2589, %2585, %2587, %2591 : !torch.vtensor<[1,128,40,40],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %2593 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2594 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_563 = torch.constant.int 12
    %2595 = torch.aten.item %2593 : !torch.vtensor<[],f32> -> !torch.float
    %2596 = torch.aten.item %2594 : !torch.vtensor<[],si8> -> !torch.int
    %2597 = torch.aten.quantize_per_tensor %74, %2595, %2596, %int12_563 : !torch.vtensor<[64,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %2598 = torch.aten.int_repr %2597 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],si8>
    %2599 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2600 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2601 = torch.aten.item %2599 : !torch.vtensor<[],f32> -> !torch.float
    %2602 = torch.aten.item %2600 : !torch.vtensor<[],si8> -> !torch.int
    %2603 = torch.aten._make_per_tensor_quantized_tensor %2598, %2601, %2602 : !torch.vtensor<[64,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %2604 = torch.aten.dequantize.self %2603 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],f32>
    %2605 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2606 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_564 = torch.constant.int 12
    %2607 = torch.aten.item %2605 : !torch.vtensor<[],f32> -> !torch.float
    %2608 = torch.aten.item %2606 : !torch.vtensor<[],si8> -> !torch.int
    %2609 = torch.aten.quantize_per_tensor %75, %2607, %2608, %int12_564 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2610 = torch.aten.int_repr %2609 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %2611 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2612 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2613 = torch.aten.item %2611 : !torch.vtensor<[],f32> -> !torch.float
    %2614 = torch.aten.item %2612 : !torch.vtensor<[],si8> -> !torch.int
    %2615 = torch.aten._make_per_tensor_quantized_tensor %2610, %2613, %2614 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2616 = torch.aten.dequantize.self %2615 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int1_565 = torch.constant.int 1
    %int1_566 = torch.constant.int 1
    %int1_567 = torch.constant.int 1
    %int1_568 = torch.constant.int 1
    %int1_569 = torch.constant.int 1
    %int1_570 = torch.constant.int 1
    %int0_571 = torch.constant.int 0
    %2617 = torch.prim.ListConstruct %int1_565, %int1_566 : (!torch.int, !torch.int) -> !torch.list<int>
    %2618 = torch.prim.ListConstruct %int1_567, %int1_568 : (!torch.int, !torch.int) -> !torch.list<int>
    %2619 = torch.prim.ListConstruct %int1_569, %int1_570 : (!torch.int, !torch.int) -> !torch.list<int>
    %2620 = torch.prim.ListConstruct %int0_571, %int0_571 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_572 = torch.constant.bool false
    %int1_573 = torch.constant.int 1
    %2621 = torch.aten.convolution %2592, %2604, %2616, %2619, %2617, %2618, %false_572, %2620, %int1_573 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[64,64,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %2622 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2623 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_574 = torch.constant.int 12
    %2624 = torch.aten.item %2622 : !torch.vtensor<[],f32> -> !torch.float
    %2625 = torch.aten.item %2623 : !torch.vtensor<[],si8> -> !torch.int
    %2626 = torch.aten.quantize_per_tensor %2621, %2624, %2625, %int12_574 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %2627 = torch.aten.int_repr %2626 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %2628 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2629 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2630 = torch.aten.item %2628 : !torch.vtensor<[],f32> -> !torch.float
    %2631 = torch.aten.item %2629 : !torch.vtensor<[],si8> -> !torch.int
    %2632 = torch.aten._make_per_tensor_quantized_tensor %2627, %2630, %2631 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %2633 = torch.aten.dequantize.self %2632 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %2634 = torch.aten.sigmoid %2633 : !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %2635 = torch.aten.mul.Tensor %2633, %2634 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %2636 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2637 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_575 = torch.constant.int 12
    %2638 = torch.aten.item %2636 : !torch.vtensor<[],f32> -> !torch.float
    %2639 = torch.aten.item %2637 : !torch.vtensor<[],si8> -> !torch.int
    %2640 = torch.aten.quantize_per_tensor %2635, %2638, %2639, %int12_575 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %2641 = torch.aten.int_repr %2640 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %2642 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2643 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2644 = torch.aten.item %2642 : !torch.vtensor<[],f32> -> !torch.float
    %2645 = torch.aten.item %2643 : !torch.vtensor<[],si8> -> !torch.int
    %2646 = torch.aten._make_per_tensor_quantized_tensor %2641, %2644, %2645 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %2647 = torch.aten.dequantize.self %2646 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %2648 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2649 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_576 = torch.constant.int 12
    %2650 = torch.aten.item %2648 : !torch.vtensor<[],f32> -> !torch.float
    %2651 = torch.aten.item %2649 : !torch.vtensor<[],si8> -> !torch.int
    %2652 = torch.aten.quantize_per_tensor %76, %2650, %2651, %int12_576 : !torch.vtensor<[64,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %2653 = torch.aten.int_repr %2652 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],si8>
    %2654 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2655 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2656 = torch.aten.item %2654 : !torch.vtensor<[],f32> -> !torch.float
    %2657 = torch.aten.item %2655 : !torch.vtensor<[],si8> -> !torch.int
    %2658 = torch.aten._make_per_tensor_quantized_tensor %2653, %2656, %2657 : !torch.vtensor<[64,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %2659 = torch.aten.dequantize.self %2658 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],f32>
    %2660 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2661 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_577 = torch.constant.int 12
    %2662 = torch.aten.item %2660 : !torch.vtensor<[],f32> -> !torch.float
    %2663 = torch.aten.item %2661 : !torch.vtensor<[],si8> -> !torch.int
    %2664 = torch.aten.quantize_per_tensor %77, %2662, %2663, %int12_577 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2665 = torch.aten.int_repr %2664 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %2666 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2667 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2668 = torch.aten.item %2666 : !torch.vtensor<[],f32> -> !torch.float
    %2669 = torch.aten.item %2667 : !torch.vtensor<[],si8> -> !torch.int
    %2670 = torch.aten._make_per_tensor_quantized_tensor %2665, %2668, %2669 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %2671 = torch.aten.dequantize.self %2670 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int1_578 = torch.constant.int 1
    %int1_579 = torch.constant.int 1
    %int1_580 = torch.constant.int 1
    %int1_581 = torch.constant.int 1
    %int1_582 = torch.constant.int 1
    %int1_583 = torch.constant.int 1
    %int0_584 = torch.constant.int 0
    %2672 = torch.prim.ListConstruct %int1_578, %int1_579 : (!torch.int, !torch.int) -> !torch.list<int>
    %2673 = torch.prim.ListConstruct %int1_580, %int1_581 : (!torch.int, !torch.int) -> !torch.list<int>
    %2674 = torch.prim.ListConstruct %int1_582, %int1_583 : (!torch.int, !torch.int) -> !torch.list<int>
    %2675 = torch.prim.ListConstruct %int0_584, %int0_584 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_585 = torch.constant.bool false
    %int1_586 = torch.constant.int 1
    %2676 = torch.aten.convolution %2647, %2659, %2671, %2674, %2672, %2673, %false_585, %2675, %int1_586 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[64,64,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %2677 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2678 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_587 = torch.constant.int 12
    %2679 = torch.aten.item %2677 : !torch.vtensor<[],f32> -> !torch.float
    %2680 = torch.aten.item %2678 : !torch.vtensor<[],si8> -> !torch.int
    %2681 = torch.aten.quantize_per_tensor %2676, %2679, %2680, %int12_587 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %2682 = torch.aten.int_repr %2681 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %2683 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2684 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2685 = torch.aten.item %2683 : !torch.vtensor<[],f32> -> !torch.float
    %2686 = torch.aten.item %2684 : !torch.vtensor<[],si8> -> !torch.int
    %2687 = torch.aten._make_per_tensor_quantized_tensor %2682, %2685, %2686 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %2688 = torch.aten.dequantize.self %2687 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %2689 = torch.aten.sigmoid %2688 : !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %2690 = torch.aten.mul.Tensor %2688, %2689 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %2691 = torch.prim.ListConstruct %2578, %2592, %2690 : (!torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32>) -> !torch.list<vtensor>
    %int1_588 = torch.constant.int 1
    %2692 = torch.aten.cat %2691, %int1_588 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[1,192,40,40],f32>
    %2693 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2694 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_589 = torch.constant.int 12
    %2695 = torch.aten.item %2693 : !torch.vtensor<[],f32> -> !torch.float
    %2696 = torch.aten.item %2694 : !torch.vtensor<[],si8> -> !torch.int
    %2697 = torch.aten.quantize_per_tensor %2692, %2695, %2696, %int12_589 : !torch.vtensor<[1,192,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,192,40,40],!torch.qint8>
    %2698 = torch.aten.int_repr %2697 : !torch.vtensor<[1,192,40,40],!torch.qint8> -> !torch.vtensor<[1,192,40,40],si8>
    %2699 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2700 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2701 = torch.aten.item %2699 : !torch.vtensor<[],f32> -> !torch.float
    %2702 = torch.aten.item %2700 : !torch.vtensor<[],si8> -> !torch.int
    %2703 = torch.aten._make_per_tensor_quantized_tensor %2698, %2701, %2702 : !torch.vtensor<[1,192,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,192,40,40],!torch.qint8>
    %2704 = torch.aten.dequantize.self %2703 : !torch.vtensor<[1,192,40,40],!torch.qint8> -> !torch.vtensor<[1,192,40,40],f32>
    %2705 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2706 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_590 = torch.constant.int 12
    %2707 = torch.aten.item %2705 : !torch.vtensor<[],f32> -> !torch.float
    %2708 = torch.aten.item %2706 : !torch.vtensor<[],si8> -> !torch.int
    %2709 = torch.aten.quantize_per_tensor %78, %2707, %2708, %int12_590 : !torch.vtensor<[128,192,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,192,1,1],!torch.qint8>
    %2710 = torch.aten.int_repr %2709 : !torch.vtensor<[128,192,1,1],!torch.qint8> -> !torch.vtensor<[128,192,1,1],si8>
    %2711 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2712 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2713 = torch.aten.item %2711 : !torch.vtensor<[],f32> -> !torch.float
    %2714 = torch.aten.item %2712 : !torch.vtensor<[],si8> -> !torch.int
    %2715 = torch.aten._make_per_tensor_quantized_tensor %2710, %2713, %2714 : !torch.vtensor<[128,192,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,192,1,1],!torch.qint8>
    %2716 = torch.aten.dequantize.self %2715 : !torch.vtensor<[128,192,1,1],!torch.qint8> -> !torch.vtensor<[128,192,1,1],f32>
    %2717 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2718 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_591 = torch.constant.int 12
    %2719 = torch.aten.item %2717 : !torch.vtensor<[],f32> -> !torch.float
    %2720 = torch.aten.item %2718 : !torch.vtensor<[],si8> -> !torch.int
    %2721 = torch.aten.quantize_per_tensor %79, %2719, %2720, %int12_591 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %2722 = torch.aten.int_repr %2721 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %2723 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2724 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2725 = torch.aten.item %2723 : !torch.vtensor<[],f32> -> !torch.float
    %2726 = torch.aten.item %2724 : !torch.vtensor<[],si8> -> !torch.int
    %2727 = torch.aten._make_per_tensor_quantized_tensor %2722, %2725, %2726 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %2728 = torch.aten.dequantize.self %2727 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %int0_592 = torch.constant.int 0
    %int0_593 = torch.constant.int 0
    %int1_594 = torch.constant.int 1
    %int1_595 = torch.constant.int 1
    %int1_596 = torch.constant.int 1
    %int1_597 = torch.constant.int 1
    %int0_598 = torch.constant.int 0
    %2729 = torch.prim.ListConstruct %int0_592, %int0_593 : (!torch.int, !torch.int) -> !torch.list<int>
    %2730 = torch.prim.ListConstruct %int1_594, %int1_595 : (!torch.int, !torch.int) -> !torch.list<int>
    %2731 = torch.prim.ListConstruct %int1_596, %int1_597 : (!torch.int, !torch.int) -> !torch.list<int>
    %2732 = torch.prim.ListConstruct %int0_598, %int0_598 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_599 = torch.constant.bool false
    %int1_600 = torch.constant.int 1
    %2733 = torch.aten.convolution %2704, %2716, %2728, %2731, %2729, %2730, %false_599, %2732, %int1_600 : !torch.vtensor<[1,192,40,40],f32>, !torch.vtensor<[128,192,1,1],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,40,40],f32>
    %2734 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2735 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_601 = torch.constant.int 12
    %2736 = torch.aten.item %2734 : !torch.vtensor<[],f32> -> !torch.float
    %2737 = torch.aten.item %2735 : !torch.vtensor<[],si8> -> !torch.int
    %2738 = torch.aten.quantize_per_tensor %2733, %2736, %2737, %int12_601 : !torch.vtensor<[1,128,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %2739 = torch.aten.int_repr %2738 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],si8>
    %2740 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2741 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2742 = torch.aten.item %2740 : !torch.vtensor<[],f32> -> !torch.float
    %2743 = torch.aten.item %2741 : !torch.vtensor<[],si8> -> !torch.int
    %2744 = torch.aten._make_per_tensor_quantized_tensor %2739, %2742, %2743 : !torch.vtensor<[1,128,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %2745 = torch.aten.dequantize.self %2744 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],f32>
    %2746 = torch.aten.sigmoid %2745 : !torch.vtensor<[1,128,40,40],f32> -> !torch.vtensor<[1,128,40,40],f32>
    %2747 = torch.aten.mul.Tensor %2745, %2746 : !torch.vtensor<[1,128,40,40],f32>, !torch.vtensor<[1,128,40,40],f32> -> !torch.vtensor<[1,128,40,40],f32>
    %2748 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2749 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_602 = torch.constant.int 12
    %2750 = torch.aten.item %2748 : !torch.vtensor<[],f32> -> !torch.float
    %2751 = torch.aten.item %2749 : !torch.vtensor<[],si8> -> !torch.int
    %2752 = torch.aten.quantize_per_tensor %2747, %2750, %2751, %int12_602 : !torch.vtensor<[1,128,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %2753 = torch.aten.int_repr %2752 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],si8>
    %2754 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2755 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2756 = torch.aten.item %2754 : !torch.vtensor<[],f32> -> !torch.float
    %2757 = torch.aten.item %2755 : !torch.vtensor<[],si8> -> !torch.int
    %2758 = torch.aten._make_per_tensor_quantized_tensor %2753, %2756, %2757 : !torch.vtensor<[1,128,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,40,40],!torch.qint8>
    %2759 = torch.aten.dequantize.self %2758 : !torch.vtensor<[1,128,40,40],!torch.qint8> -> !torch.vtensor<[1,128,40,40],f32>
    %2760 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2761 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_603 = torch.constant.int 12
    %2762 = torch.aten.item %2760 : !torch.vtensor<[],f32> -> !torch.float
    %2763 = torch.aten.item %2761 : !torch.vtensor<[],si8> -> !torch.int
    %2764 = torch.aten.quantize_per_tensor %80, %2762, %2763, %int12_603 : !torch.vtensor<[128,128,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,128,3,3],!torch.qint8>
    %2765 = torch.aten.int_repr %2764 : !torch.vtensor<[128,128,3,3],!torch.qint8> -> !torch.vtensor<[128,128,3,3],si8>
    %2766 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2767 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2768 = torch.aten.item %2766 : !torch.vtensor<[],f32> -> !torch.float
    %2769 = torch.aten.item %2767 : !torch.vtensor<[],si8> -> !torch.int
    %2770 = torch.aten._make_per_tensor_quantized_tensor %2765, %2768, %2769 : !torch.vtensor<[128,128,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,128,3,3],!torch.qint8>
    %2771 = torch.aten.dequantize.self %2770 : !torch.vtensor<[128,128,3,3],!torch.qint8> -> !torch.vtensor<[128,128,3,3],f32>
    %2772 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2773 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_604 = torch.constant.int 12
    %2774 = torch.aten.item %2772 : !torch.vtensor<[],f32> -> !torch.float
    %2775 = torch.aten.item %2773 : !torch.vtensor<[],si8> -> !torch.int
    %2776 = torch.aten.quantize_per_tensor %81, %2774, %2775, %int12_604 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %2777 = torch.aten.int_repr %2776 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %2778 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2779 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2780 = torch.aten.item %2778 : !torch.vtensor<[],f32> -> !torch.float
    %2781 = torch.aten.item %2779 : !torch.vtensor<[],si8> -> !torch.int
    %2782 = torch.aten._make_per_tensor_quantized_tensor %2777, %2780, %2781 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %2783 = torch.aten.dequantize.self %2782 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %int1_605 = torch.constant.int 1
    %int1_606 = torch.constant.int 1
    %int1_607 = torch.constant.int 1
    %int1_608 = torch.constant.int 1
    %int2_609 = torch.constant.int 2
    %int2_610 = torch.constant.int 2
    %int0_611 = torch.constant.int 0
    %2784 = torch.prim.ListConstruct %int1_605, %int1_606 : (!torch.int, !torch.int) -> !torch.list<int>
    %2785 = torch.prim.ListConstruct %int1_607, %int1_608 : (!torch.int, !torch.int) -> !torch.list<int>
    %2786 = torch.prim.ListConstruct %int2_609, %int2_610 : (!torch.int, !torch.int) -> !torch.list<int>
    %2787 = torch.prim.ListConstruct %int0_611, %int0_611 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_612 = torch.constant.bool false
    %int1_613 = torch.constant.int 1
    %2788 = torch.aten.convolution %2759, %2771, %2783, %2786, %2784, %2785, %false_612, %2787, %int1_613 : !torch.vtensor<[1,128,40,40],f32>, !torch.vtensor<[128,128,3,3],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,20,20],f32>
    %2789 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2790 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_614 = torch.constant.int 12
    %2791 = torch.aten.item %2789 : !torch.vtensor<[],f32> -> !torch.float
    %2792 = torch.aten.item %2790 : !torch.vtensor<[],si8> -> !torch.int
    %2793 = torch.aten.quantize_per_tensor %2788, %2791, %2792, %int12_614 : !torch.vtensor<[1,128,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %2794 = torch.aten.int_repr %2793 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],si8>
    %2795 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2796 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2797 = torch.aten.item %2795 : !torch.vtensor<[],f32> -> !torch.float
    %2798 = torch.aten.item %2796 : !torch.vtensor<[],si8> -> !torch.int
    %2799 = torch.aten._make_per_tensor_quantized_tensor %2794, %2797, %2798 : !torch.vtensor<[1,128,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %2800 = torch.aten.dequantize.self %2799 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],f32>
    %2801 = torch.aten.sigmoid %2800 : !torch.vtensor<[1,128,20,20],f32> -> !torch.vtensor<[1,128,20,20],f32>
    %2802 = torch.aten.mul.Tensor %2800, %2801 : !torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[1,128,20,20],f32> -> !torch.vtensor<[1,128,20,20],f32>
    %2803 = torch.prim.ListConstruct %2802, %1914 : (!torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[1,256,20,20],f32>) -> !torch.list<vtensor>
    %int1_615 = torch.constant.int 1
    %2804 = torch.aten.cat %2803, %int1_615 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[1,384,20,20],f32>
    %2805 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2806 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_616 = torch.constant.int 12
    %2807 = torch.aten.item %2805 : !torch.vtensor<[],f32> -> !torch.float
    %2808 = torch.aten.item %2806 : !torch.vtensor<[],si8> -> !torch.int
    %2809 = torch.aten.quantize_per_tensor %2804, %2807, %2808, %int12_616 : !torch.vtensor<[1,384,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,384,20,20],!torch.qint8>
    %2810 = torch.aten.int_repr %2809 : !torch.vtensor<[1,384,20,20],!torch.qint8> -> !torch.vtensor<[1,384,20,20],si8>
    %2811 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2812 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2813 = torch.aten.item %2811 : !torch.vtensor<[],f32> -> !torch.float
    %2814 = torch.aten.item %2812 : !torch.vtensor<[],si8> -> !torch.int
    %2815 = torch.aten._make_per_tensor_quantized_tensor %2810, %2813, %2814 : !torch.vtensor<[1,384,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,384,20,20],!torch.qint8>
    %2816 = torch.aten.dequantize.self %2815 : !torch.vtensor<[1,384,20,20],!torch.qint8> -> !torch.vtensor<[1,384,20,20],f32>
    %2817 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2818 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_617 = torch.constant.int 12
    %2819 = torch.aten.item %2817 : !torch.vtensor<[],f32> -> !torch.float
    %2820 = torch.aten.item %2818 : !torch.vtensor<[],si8> -> !torch.int
    %2821 = torch.aten.quantize_per_tensor %82, %2819, %2820, %int12_617 : !torch.vtensor<[256,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,384,1,1],!torch.qint8>
    %2822 = torch.aten.int_repr %2821 : !torch.vtensor<[256,384,1,1],!torch.qint8> -> !torch.vtensor<[256,384,1,1],si8>
    %2823 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2824 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2825 = torch.aten.item %2823 : !torch.vtensor<[],f32> -> !torch.float
    %2826 = torch.aten.item %2824 : !torch.vtensor<[],si8> -> !torch.int
    %2827 = torch.aten._make_per_tensor_quantized_tensor %2822, %2825, %2826 : !torch.vtensor<[256,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,384,1,1],!torch.qint8>
    %2828 = torch.aten.dequantize.self %2827 : !torch.vtensor<[256,384,1,1],!torch.qint8> -> !torch.vtensor<[256,384,1,1],f32>
    %2829 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2830 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_618 = torch.constant.int 12
    %2831 = torch.aten.item %2829 : !torch.vtensor<[],f32> -> !torch.float
    %2832 = torch.aten.item %2830 : !torch.vtensor<[],si8> -> !torch.int
    %2833 = torch.aten.quantize_per_tensor %83, %2831, %2832, %int12_618 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
    %2834 = torch.aten.int_repr %2833 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
    %2835 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2836 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2837 = torch.aten.item %2835 : !torch.vtensor<[],f32> -> !torch.float
    %2838 = torch.aten.item %2836 : !torch.vtensor<[],si8> -> !torch.int
    %2839 = torch.aten._make_per_tensor_quantized_tensor %2834, %2837, %2838 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
    %2840 = torch.aten.dequantize.self %2839 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
    %int0_619 = torch.constant.int 0
    %int0_620 = torch.constant.int 0
    %int1_621 = torch.constant.int 1
    %int1_622 = torch.constant.int 1
    %int1_623 = torch.constant.int 1
    %int1_624 = torch.constant.int 1
    %int0_625 = torch.constant.int 0
    %2841 = torch.prim.ListConstruct %int0_619, %int0_620 : (!torch.int, !torch.int) -> !torch.list<int>
    %2842 = torch.prim.ListConstruct %int1_621, %int1_622 : (!torch.int, !torch.int) -> !torch.list<int>
    %2843 = torch.prim.ListConstruct %int1_623, %int1_624 : (!torch.int, !torch.int) -> !torch.list<int>
    %2844 = torch.prim.ListConstruct %int0_625, %int0_625 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_626 = torch.constant.bool false
    %int1_627 = torch.constant.int 1
    %2845 = torch.aten.convolution %2816, %2828, %2840, %2843, %2841, %2842, %false_626, %2844, %int1_627 : !torch.vtensor<[1,384,20,20],f32>, !torch.vtensor<[256,384,1,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,256,20,20],f32>
    %2846 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2847 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_628 = torch.constant.int 12
    %2848 = torch.aten.item %2846 : !torch.vtensor<[],f32> -> !torch.float
    %2849 = torch.aten.item %2847 : !torch.vtensor<[],si8> -> !torch.int
    %2850 = torch.aten.quantize_per_tensor %2845, %2848, %2849, %int12_628 : !torch.vtensor<[1,256,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %2851 = torch.aten.int_repr %2850 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],si8>
    %2852 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2853 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2854 = torch.aten.item %2852 : !torch.vtensor<[],f32> -> !torch.float
    %2855 = torch.aten.item %2853 : !torch.vtensor<[],si8> -> !torch.int
    %2856 = torch.aten._make_per_tensor_quantized_tensor %2851, %2854, %2855 : !torch.vtensor<[1,256,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %2857 = torch.aten.dequantize.self %2856 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],f32>
    %2858 = torch.aten.sigmoid %2857 : !torch.vtensor<[1,256,20,20],f32> -> !torch.vtensor<[1,256,20,20],f32>
    %2859 = torch.aten.mul.Tensor %2857, %2858 : !torch.vtensor<[1,256,20,20],f32>, !torch.vtensor<[1,256,20,20],f32> -> !torch.vtensor<[1,256,20,20],f32>
    %2860 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2861 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_629 = torch.constant.int 12
    %2862 = torch.aten.item %2860 : !torch.vtensor<[],f32> -> !torch.float
    %2863 = torch.aten.item %2861 : !torch.vtensor<[],si8> -> !torch.int
    %2864 = torch.aten.quantize_per_tensor %2859, %2862, %2863, %int12_629 : !torch.vtensor<[1,256,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %2865 = torch.aten.int_repr %2864 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],si8>
    %2866 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2867 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2868 = torch.aten.item %2866 : !torch.vtensor<[],f32> -> !torch.float
    %2869 = torch.aten.item %2867 : !torch.vtensor<[],si8> -> !torch.int
    %2870 = torch.aten._make_per_tensor_quantized_tensor %2865, %2868, %2869 : !torch.vtensor<[1,256,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %2871 = torch.aten.dequantize.self %2870 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],f32>
    %2872 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2873 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2874 = torch.vtensor.literal(dense<128> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2875 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_630 = torch.constant.int 0
    %int0_631 = torch.constant.int 0
    %2876 = torch.prim.NumToTensor.Scalar %int0_631 : !torch.int -> !torch.vtensor<[1],si64>
    %2877 = torch.aten.index_select %2873, %int0_630, %2876 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2878 = torch.aten.item %2877 : !torch.vtensor<[1],si64> -> !torch.int
    %2879 = torch.aten.index_select %2874, %int0_630, %2876 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2880 = torch.aten.item %2879 : !torch.vtensor<[1],si64> -> !torch.int
    %2881 = torch.aten.index_select %2872, %int0_630, %2876 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2882 = torch.aten.item %2881 : !torch.vtensor<[1],si64> -> !torch.int
    %2883 = torch.aten.index_select %2875, %int0_630, %2876 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2884 = torch.aten.item %2883 : !torch.vtensor<[1],si64> -> !torch.int
    %2885 = torch.aten.slice.Tensor %2871, %2882, %2878, %2880, %2884 : !torch.vtensor<[1,256,20,20],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[1,128,20,20],f32>
    %2886 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2887 = torch.vtensor.literal(dense<128> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2888 = torch.vtensor.literal(dense<256> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %2889 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_632 = torch.constant.int 0
    %int0_633 = torch.constant.int 0
    %2890 = torch.prim.NumToTensor.Scalar %int0_633 : !torch.int -> !torch.vtensor<[1],si64>
    %2891 = torch.aten.index_select %2887, %int0_632, %2890 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2892 = torch.aten.item %2891 : !torch.vtensor<[1],si64> -> !torch.int
    %2893 = torch.aten.index_select %2888, %int0_632, %2890 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2894 = torch.aten.item %2893 : !torch.vtensor<[1],si64> -> !torch.int
    %2895 = torch.aten.index_select %2886, %int0_632, %2890 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2896 = torch.aten.item %2895 : !torch.vtensor<[1],si64> -> !torch.int
    %2897 = torch.aten.index_select %2889, %int0_632, %2890 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %2898 = torch.aten.item %2897 : !torch.vtensor<[1],si64> -> !torch.int
    %2899 = torch.aten.slice.Tensor %2871, %2896, %2892, %2894, %2898 : !torch.vtensor<[1,256,20,20],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[1,128,20,20],f32>
    %2900 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2901 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_634 = torch.constant.int 12
    %2902 = torch.aten.item %2900 : !torch.vtensor<[],f32> -> !torch.float
    %2903 = torch.aten.item %2901 : !torch.vtensor<[],si8> -> !torch.int
    %2904 = torch.aten.quantize_per_tensor %84, %2902, %2903, %int12_634 : !torch.vtensor<[128,128,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,128,3,3],!torch.qint8>
    %2905 = torch.aten.int_repr %2904 : !torch.vtensor<[128,128,3,3],!torch.qint8> -> !torch.vtensor<[128,128,3,3],si8>
    %2906 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2907 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2908 = torch.aten.item %2906 : !torch.vtensor<[],f32> -> !torch.float
    %2909 = torch.aten.item %2907 : !torch.vtensor<[],si8> -> !torch.int
    %2910 = torch.aten._make_per_tensor_quantized_tensor %2905, %2908, %2909 : !torch.vtensor<[128,128,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,128,3,3],!torch.qint8>
    %2911 = torch.aten.dequantize.self %2910 : !torch.vtensor<[128,128,3,3],!torch.qint8> -> !torch.vtensor<[128,128,3,3],f32>
    %2912 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2913 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_635 = torch.constant.int 12
    %2914 = torch.aten.item %2912 : !torch.vtensor<[],f32> -> !torch.float
    %2915 = torch.aten.item %2913 : !torch.vtensor<[],si8> -> !torch.int
    %2916 = torch.aten.quantize_per_tensor %85, %2914, %2915, %int12_635 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %2917 = torch.aten.int_repr %2916 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %2918 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2919 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2920 = torch.aten.item %2918 : !torch.vtensor<[],f32> -> !torch.float
    %2921 = torch.aten.item %2919 : !torch.vtensor<[],si8> -> !torch.int
    %2922 = torch.aten._make_per_tensor_quantized_tensor %2917, %2920, %2921 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %2923 = torch.aten.dequantize.self %2922 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %int1_636 = torch.constant.int 1
    %int1_637 = torch.constant.int 1
    %int1_638 = torch.constant.int 1
    %int1_639 = torch.constant.int 1
    %int1_640 = torch.constant.int 1
    %int1_641 = torch.constant.int 1
    %int0_642 = torch.constant.int 0
    %2924 = torch.prim.ListConstruct %int1_636, %int1_637 : (!torch.int, !torch.int) -> !torch.list<int>
    %2925 = torch.prim.ListConstruct %int1_638, %int1_639 : (!torch.int, !torch.int) -> !torch.list<int>
    %2926 = torch.prim.ListConstruct %int1_640, %int1_641 : (!torch.int, !torch.int) -> !torch.list<int>
    %2927 = torch.prim.ListConstruct %int0_642, %int0_642 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_643 = torch.constant.bool false
    %int1_644 = torch.constant.int 1
    %2928 = torch.aten.convolution %2899, %2911, %2923, %2926, %2924, %2925, %false_643, %2927, %int1_644 : !torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[128,128,3,3],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,20,20],f32>
    %2929 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2930 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_645 = torch.constant.int 12
    %2931 = torch.aten.item %2929 : !torch.vtensor<[],f32> -> !torch.float
    %2932 = torch.aten.item %2930 : !torch.vtensor<[],si8> -> !torch.int
    %2933 = torch.aten.quantize_per_tensor %2928, %2931, %2932, %int12_645 : !torch.vtensor<[1,128,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %2934 = torch.aten.int_repr %2933 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],si8>
    %2935 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2936 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2937 = torch.aten.item %2935 : !torch.vtensor<[],f32> -> !torch.float
    %2938 = torch.aten.item %2936 : !torch.vtensor<[],si8> -> !torch.int
    %2939 = torch.aten._make_per_tensor_quantized_tensor %2934, %2937, %2938 : !torch.vtensor<[1,128,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %2940 = torch.aten.dequantize.self %2939 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],f32>
    %2941 = torch.aten.sigmoid %2940 : !torch.vtensor<[1,128,20,20],f32> -> !torch.vtensor<[1,128,20,20],f32>
    %2942 = torch.aten.mul.Tensor %2940, %2941 : !torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[1,128,20,20],f32> -> !torch.vtensor<[1,128,20,20],f32>
    %2943 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2944 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_646 = torch.constant.int 12
    %2945 = torch.aten.item %2943 : !torch.vtensor<[],f32> -> !torch.float
    %2946 = torch.aten.item %2944 : !torch.vtensor<[],si8> -> !torch.int
    %2947 = torch.aten.quantize_per_tensor %2942, %2945, %2946, %int12_646 : !torch.vtensor<[1,128,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %2948 = torch.aten.int_repr %2947 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],si8>
    %2949 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2950 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2951 = torch.aten.item %2949 : !torch.vtensor<[],f32> -> !torch.float
    %2952 = torch.aten.item %2950 : !torch.vtensor<[],si8> -> !torch.int
    %2953 = torch.aten._make_per_tensor_quantized_tensor %2948, %2951, %2952 : !torch.vtensor<[1,128,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %2954 = torch.aten.dequantize.self %2953 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],f32>
    %2955 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %2956 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_647 = 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 %86, %2957, %2958, %int12_647 : !torch.vtensor<[128,128,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,128,3,3],!torch.qint8>
    %2960 = torch.aten.int_repr %2959 : !torch.vtensor<[128,128,3,3],!torch.qint8> -> !torch.vtensor<[128,128,3,3],si8>
    %2961 = torch.vtensor.literal(dense<7.812500e-03> : 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<[128,128,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,128,3,3],!torch.qint8>
    %2966 = torch.aten.dequantize.self %2965 : !torch.vtensor<[128,128,3,3],!torch.qint8> -> !torch.vtensor<[128,128,3,3],f32>
    %2967 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2968 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_648 = 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 %87, %2969, %2970, %int12_648 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %2972 = torch.aten.int_repr %2971 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
    %2973 = torch.vtensor.literal(dense<3.125000e-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<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
    %2978 = torch.aten.dequantize.self %2977 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
    %int1_649 = torch.constant.int 1
    %int1_650 = torch.constant.int 1
    %int1_651 = torch.constant.int 1
    %int1_652 = torch.constant.int 1
    %int1_653 = torch.constant.int 1
    %int1_654 = torch.constant.int 1
    %int0_655 = torch.constant.int 0
    %2979 = torch.prim.ListConstruct %int1_649, %int1_650 : (!torch.int, !torch.int) -> !torch.list<int>
    %2980 = torch.prim.ListConstruct %int1_651, %int1_652 : (!torch.int, !torch.int) -> !torch.list<int>
    %2981 = torch.prim.ListConstruct %int1_653, %int1_654 : (!torch.int, !torch.int) -> !torch.list<int>
    %2982 = torch.prim.ListConstruct %int0_655, %int0_655 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_656 = torch.constant.bool false
    %int1_657 = torch.constant.int 1
    %2983 = torch.aten.convolution %2954, %2966, %2978, %2981, %2979, %2980, %false_656, %2982, %int1_657 : !torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[128,128,3,3],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,128,20,20],f32>
    %2984 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2985 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_658 = torch.constant.int 12
    %2986 = torch.aten.item %2984 : !torch.vtensor<[],f32> -> !torch.float
    %2987 = torch.aten.item %2985 : !torch.vtensor<[],si8> -> !torch.int
    %2988 = torch.aten.quantize_per_tensor %2983, %2986, %2987, %int12_658 : !torch.vtensor<[1,128,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %2989 = torch.aten.int_repr %2988 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],si8>
    %2990 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %2991 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %2992 = torch.aten.item %2990 : !torch.vtensor<[],f32> -> !torch.float
    %2993 = torch.aten.item %2991 : !torch.vtensor<[],si8> -> !torch.int
    %2994 = torch.aten._make_per_tensor_quantized_tensor %2989, %2992, %2993 : !torch.vtensor<[1,128,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,128,20,20],!torch.qint8>
    %2995 = torch.aten.dequantize.self %2994 : !torch.vtensor<[1,128,20,20],!torch.qint8> -> !torch.vtensor<[1,128,20,20],f32>
    %2996 = torch.aten.sigmoid %2995 : !torch.vtensor<[1,128,20,20],f32> -> !torch.vtensor<[1,128,20,20],f32>
    %2997 = torch.aten.mul.Tensor %2995, %2996 : !torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[1,128,20,20],f32> -> !torch.vtensor<[1,128,20,20],f32>
    %2998 = torch.prim.ListConstruct %2885, %2899, %2997 : (!torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[1,128,20,20],f32>, !torch.vtensor<[1,128,20,20],f32>) -> !torch.list<vtensor>
    %int1_659 = torch.constant.int 1
    %2999 = torch.aten.cat %2998, %int1_659 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[1,384,20,20],f32>
    %3000 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3001 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_660 = torch.constant.int 12
    %3002 = torch.aten.item %3000 : !torch.vtensor<[],f32> -> !torch.float
    %3003 = torch.aten.item %3001 : !torch.vtensor<[],si8> -> !torch.int
    %3004 = torch.aten.quantize_per_tensor %2999, %3002, %3003, %int12_660 : !torch.vtensor<[1,384,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,384,20,20],!torch.qint8>
    %3005 = torch.aten.int_repr %3004 : !torch.vtensor<[1,384,20,20],!torch.qint8> -> !torch.vtensor<[1,384,20,20],si8>
    %3006 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3007 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3008 = torch.aten.item %3006 : !torch.vtensor<[],f32> -> !torch.float
    %3009 = torch.aten.item %3007 : !torch.vtensor<[],si8> -> !torch.int
    %3010 = torch.aten._make_per_tensor_quantized_tensor %3005, %3008, %3009 : !torch.vtensor<[1,384,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,384,20,20],!torch.qint8>
    %3011 = torch.aten.dequantize.self %3010 : !torch.vtensor<[1,384,20,20],!torch.qint8> -> !torch.vtensor<[1,384,20,20],f32>
    %3012 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3013 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_661 = torch.constant.int 12
    %3014 = torch.aten.item %3012 : !torch.vtensor<[],f32> -> !torch.float
    %3015 = torch.aten.item %3013 : !torch.vtensor<[],si8> -> !torch.int
    %3016 = torch.aten.quantize_per_tensor %88, %3014, %3015, %int12_661 : !torch.vtensor<[256,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,384,1,1],!torch.qint8>
    %3017 = torch.aten.int_repr %3016 : !torch.vtensor<[256,384,1,1],!torch.qint8> -> !torch.vtensor<[256,384,1,1],si8>
    %3018 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3019 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3020 = torch.aten.item %3018 : !torch.vtensor<[],f32> -> !torch.float
    %3021 = torch.aten.item %3019 : !torch.vtensor<[],si8> -> !torch.int
    %3022 = torch.aten._make_per_tensor_quantized_tensor %3017, %3020, %3021 : !torch.vtensor<[256,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,384,1,1],!torch.qint8>
    %3023 = torch.aten.dequantize.self %3022 : !torch.vtensor<[256,384,1,1],!torch.qint8> -> !torch.vtensor<[256,384,1,1],f32>
    %3024 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3025 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_662 = torch.constant.int 12
    %3026 = torch.aten.item %3024 : !torch.vtensor<[],f32> -> !torch.float
    %3027 = torch.aten.item %3025 : !torch.vtensor<[],si8> -> !torch.int
    %3028 = torch.aten.quantize_per_tensor %89, %3026, %3027, %int12_662 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
    %3029 = torch.aten.int_repr %3028 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
    %3030 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3031 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3032 = torch.aten.item %3030 : !torch.vtensor<[],f32> -> !torch.float
    %3033 = torch.aten.item %3031 : !torch.vtensor<[],si8> -> !torch.int
    %3034 = torch.aten._make_per_tensor_quantized_tensor %3029, %3032, %3033 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
    %3035 = torch.aten.dequantize.self %3034 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
    %int0_663 = torch.constant.int 0
    %int0_664 = torch.constant.int 0
    %int1_665 = torch.constant.int 1
    %int1_666 = torch.constant.int 1
    %int1_667 = torch.constant.int 1
    %int1_668 = torch.constant.int 1
    %int0_669 = torch.constant.int 0
    %3036 = torch.prim.ListConstruct %int0_663, %int0_664 : (!torch.int, !torch.int) -> !torch.list<int>
    %3037 = torch.prim.ListConstruct %int1_665, %int1_666 : (!torch.int, !torch.int) -> !torch.list<int>
    %3038 = torch.prim.ListConstruct %int1_667, %int1_668 : (!torch.int, !torch.int) -> !torch.list<int>
    %3039 = torch.prim.ListConstruct %int0_669, %int0_669 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_670 = torch.constant.bool false
    %int1_671 = torch.constant.int 1
    %3040 = torch.aten.convolution %3011, %3023, %3035, %3038, %3036, %3037, %false_670, %3039, %int1_671 : !torch.vtensor<[1,384,20,20],f32>, !torch.vtensor<[256,384,1,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,256,20,20],f32>
    %3041 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3042 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_672 = torch.constant.int 12
    %3043 = torch.aten.item %3041 : !torch.vtensor<[],f32> -> !torch.float
    %3044 = torch.aten.item %3042 : !torch.vtensor<[],si8> -> !torch.int
    %3045 = torch.aten.quantize_per_tensor %3040, %3043, %3044, %int12_672 : !torch.vtensor<[1,256,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %3046 = torch.aten.int_repr %3045 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],si8>
    %3047 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3048 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3049 = torch.aten.item %3047 : !torch.vtensor<[],f32> -> !torch.float
    %3050 = torch.aten.item %3048 : !torch.vtensor<[],si8> -> !torch.int
    %3051 = torch.aten._make_per_tensor_quantized_tensor %3046, %3049, %3050 : !torch.vtensor<[1,256,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %3052 = torch.aten.dequantize.self %3051 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],f32>
    %3053 = torch.aten.sigmoid %3052 : !torch.vtensor<[1,256,20,20],f32> -> !torch.vtensor<[1,256,20,20],f32>
    %3054 = torch.aten.mul.Tensor %3052, %3053 : !torch.vtensor<[1,256,20,20],f32>, !torch.vtensor<[1,256,20,20],f32> -> !torch.vtensor<[1,256,20,20],f32>
    %3055 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3056 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_673 = torch.constant.int 12
    %3057 = torch.aten.item %3055 : !torch.vtensor<[],f32> -> !torch.float
    %3058 = torch.aten.item %3056 : !torch.vtensor<[],si8> -> !torch.int
    %3059 = torch.aten.quantize_per_tensor %3054, %3057, %3058, %int12_673 : !torch.vtensor<[1,256,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %3060 = torch.aten.int_repr %3059 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],si8>
    %3061 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3062 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3063 = torch.aten.item %3061 : !torch.vtensor<[],f32> -> !torch.float
    %3064 = torch.aten.item %3062 : !torch.vtensor<[],si8> -> !torch.int
    %3065 = torch.aten._make_per_tensor_quantized_tensor %3060, %3063, %3064 : !torch.vtensor<[1,256,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,256,20,20],!torch.qint8>
    %3066 = torch.aten.dequantize.self %3065 : !torch.vtensor<[1,256,20,20],!torch.qint8> -> !torch.vtensor<[1,256,20,20],f32>
    %3067 = torch.vtensor.literal(dense<1> : tensor<si64>) : !torch.vtensor<[],si64>
    %3068 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %3069 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_674 = torch.constant.int 12
    %3070 = torch.aten.item %3068 : !torch.vtensor<[],f32> -> !torch.float
    %3071 = torch.aten.item %3069 : !torch.vtensor<[],si8> -> !torch.int
    %3072 = torch.aten.quantize_per_tensor %90, %3070, %3071, %int12_674 : !torch.vtensor<[64,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %3073 = torch.aten.int_repr %3072 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],si8>
    %3074 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %3075 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3076 = torch.aten.item %3074 : !torch.vtensor<[],f32> -> !torch.float
    %3077 = torch.aten.item %3075 : !torch.vtensor<[],si8> -> !torch.int
    %3078 = torch.aten._make_per_tensor_quantized_tensor %3073, %3076, %3077 : !torch.vtensor<[64,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %3079 = torch.aten.dequantize.self %3078 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],f32>
    %3080 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3081 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_675 = torch.constant.int 12
    %3082 = torch.aten.item %3080 : !torch.vtensor<[],f32> -> !torch.float
    %3083 = torch.aten.item %3081 : !torch.vtensor<[],si8> -> !torch.int
    %3084 = torch.aten.quantize_per_tensor %91, %3082, %3083, %int12_675 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3085 = torch.aten.int_repr %3084 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %3086 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3087 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3088 = torch.aten.item %3086 : !torch.vtensor<[],f32> -> !torch.float
    %3089 = torch.aten.item %3087 : !torch.vtensor<[],si8> -> !torch.int
    %3090 = torch.aten._make_per_tensor_quantized_tensor %3085, %3088, %3089 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3091 = torch.aten.dequantize.self %3090 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int1_676 = torch.constant.int 1
    %int1_677 = torch.constant.int 1
    %int1_678 = torch.constant.int 1
    %int1_679 = torch.constant.int 1
    %int1_680 = torch.constant.int 1
    %int1_681 = torch.constant.int 1
    %int0_682 = torch.constant.int 0
    %3092 = torch.prim.ListConstruct %int1_676, %int1_677 : (!torch.int, !torch.int) -> !torch.list<int>
    %3093 = torch.prim.ListConstruct %int1_678, %int1_679 : (!torch.int, !torch.int) -> !torch.list<int>
    %3094 = torch.prim.ListConstruct %int1_680, %int1_681 : (!torch.int, !torch.int) -> !torch.list<int>
    %3095 = torch.prim.ListConstruct %int0_682, %int0_682 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_683 = torch.constant.bool false
    %int1_684 = torch.constant.int 1
    %3096 = torch.aten.convolution %2452, %3079, %3091, %3094, %3092, %3093, %false_683, %3095, %int1_684 : !torch.vtensor<[1,64,80,80],f32>, !torch.vtensor<[64,64,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,80,80],f32>
    %3097 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3098 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_685 = torch.constant.int 12
    %3099 = torch.aten.item %3097 : !torch.vtensor<[],f32> -> !torch.float
    %3100 = torch.aten.item %3098 : !torch.vtensor<[],si8> -> !torch.int
    %3101 = torch.aten.quantize_per_tensor %3096, %3099, %3100, %int12_685 : !torch.vtensor<[1,64,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %3102 = torch.aten.int_repr %3101 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],si8>
    %3103 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3104 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3105 = torch.aten.item %3103 : !torch.vtensor<[],f32> -> !torch.float
    %3106 = torch.aten.item %3104 : !torch.vtensor<[],si8> -> !torch.int
    %3107 = torch.aten._make_per_tensor_quantized_tensor %3102, %3105, %3106 : !torch.vtensor<[1,64,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %3108 = torch.aten.dequantize.self %3107 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],f32>
    %3109 = torch.aten.sigmoid %3108 : !torch.vtensor<[1,64,80,80],f32> -> !torch.vtensor<[1,64,80,80],f32>
    %3110 = torch.aten.mul.Tensor %3108, %3109 : !torch.vtensor<[1,64,80,80],f32>, !torch.vtensor<[1,64,80,80],f32> -> !torch.vtensor<[1,64,80,80],f32>
    %3111 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3112 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_686 = torch.constant.int 12
    %3113 = torch.aten.item %3111 : !torch.vtensor<[],f32> -> !torch.float
    %3114 = torch.aten.item %3112 : !torch.vtensor<[],si8> -> !torch.int
    %3115 = torch.aten.quantize_per_tensor %3110, %3113, %3114, %int12_686 : !torch.vtensor<[1,64,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %3116 = torch.aten.int_repr %3115 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],si8>
    %3117 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3118 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3119 = torch.aten.item %3117 : !torch.vtensor<[],f32> -> !torch.float
    %3120 = torch.aten.item %3118 : !torch.vtensor<[],si8> -> !torch.int
    %3121 = torch.aten._make_per_tensor_quantized_tensor %3116, %3119, %3120 : !torch.vtensor<[1,64,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %3122 = torch.aten.dequantize.self %3121 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],f32>
    %3123 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3124 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_687 = torch.constant.int 12
    %3125 = torch.aten.item %3123 : !torch.vtensor<[],f32> -> !torch.float
    %3126 = torch.aten.item %3124 : !torch.vtensor<[],si8> -> !torch.int
    %3127 = torch.aten.quantize_per_tensor %92, %3125, %3126, %int12_687 : !torch.vtensor<[64,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %3128 = torch.aten.int_repr %3127 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],si8>
    %3129 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3130 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3131 = torch.aten.item %3129 : !torch.vtensor<[],f32> -> !torch.float
    %3132 = torch.aten.item %3130 : !torch.vtensor<[],si8> -> !torch.int
    %3133 = torch.aten._make_per_tensor_quantized_tensor %3128, %3131, %3132 : !torch.vtensor<[64,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %3134 = torch.aten.dequantize.self %3133 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],f32>
    %3135 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3136 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_688 = torch.constant.int 12
    %3137 = torch.aten.item %3135 : !torch.vtensor<[],f32> -> !torch.float
    %3138 = torch.aten.item %3136 : !torch.vtensor<[],si8> -> !torch.int
    %3139 = torch.aten.quantize_per_tensor %93, %3137, %3138, %int12_688 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3140 = torch.aten.int_repr %3139 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %3141 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3142 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3143 = torch.aten.item %3141 : !torch.vtensor<[],f32> -> !torch.float
    %3144 = torch.aten.item %3142 : !torch.vtensor<[],si8> -> !torch.int
    %3145 = torch.aten._make_per_tensor_quantized_tensor %3140, %3143, %3144 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3146 = torch.aten.dequantize.self %3145 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %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
    %int0_695 = torch.constant.int 0
    %3147 = torch.prim.ListConstruct %int1_689, %int1_690 : (!torch.int, !torch.int) -> !torch.list<int>
    %3148 = torch.prim.ListConstruct %int1_691, %int1_692 : (!torch.int, !torch.int) -> !torch.list<int>
    %3149 = torch.prim.ListConstruct %int1_693, %int1_694 : (!torch.int, !torch.int) -> !torch.list<int>
    %3150 = torch.prim.ListConstruct %int0_695, %int0_695 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_696 = torch.constant.bool false
    %int1_697 = torch.constant.int 1
    %3151 = torch.aten.convolution %3122, %3134, %3146, %3149, %3147, %3148, %false_696, %3150, %int1_697 : !torch.vtensor<[1,64,80,80],f32>, !torch.vtensor<[64,64,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,80,80],f32>
    %3152 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3153 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_698 = torch.constant.int 12
    %3154 = torch.aten.item %3152 : !torch.vtensor<[],f32> -> !torch.float
    %3155 = torch.aten.item %3153 : !torch.vtensor<[],si8> -> !torch.int
    %3156 = torch.aten.quantize_per_tensor %3151, %3154, %3155, %int12_698 : !torch.vtensor<[1,64,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %3157 = torch.aten.int_repr %3156 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],si8>
    %3158 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3159 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3160 = torch.aten.item %3158 : !torch.vtensor<[],f32> -> !torch.float
    %3161 = torch.aten.item %3159 : !torch.vtensor<[],si8> -> !torch.int
    %3162 = torch.aten._make_per_tensor_quantized_tensor %3157, %3160, %3161 : !torch.vtensor<[1,64,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %3163 = torch.aten.dequantize.self %3162 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],f32>
    %3164 = torch.aten.sigmoid %3163 : !torch.vtensor<[1,64,80,80],f32> -> !torch.vtensor<[1,64,80,80],f32>
    %3165 = torch.aten.mul.Tensor %3163, %3164 : !torch.vtensor<[1,64,80,80],f32>, !torch.vtensor<[1,64,80,80],f32> -> !torch.vtensor<[1,64,80,80],f32>
    %3166 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3167 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_699 = torch.constant.int 12
    %3168 = torch.aten.item %3166 : !torch.vtensor<[],f32> -> !torch.float
    %3169 = torch.aten.item %3167 : !torch.vtensor<[],si8> -> !torch.int
    %3170 = torch.aten.quantize_per_tensor %3165, %3168, %3169, %int12_699 : !torch.vtensor<[1,64,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %3171 = torch.aten.int_repr %3170 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],si8>
    %3172 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3173 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3174 = torch.aten.item %3172 : !torch.vtensor<[],f32> -> !torch.float
    %3175 = torch.aten.item %3173 : !torch.vtensor<[],si8> -> !torch.int
    %3176 = torch.aten._make_per_tensor_quantized_tensor %3171, %3174, %3175 : !torch.vtensor<[1,64,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,80,80],!torch.qint8>
    %3177 = torch.aten.dequantize.self %3176 : !torch.vtensor<[1,64,80,80],!torch.qint8> -> !torch.vtensor<[1,64,80,80],f32>
    %3178 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %3179 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_700 = torch.constant.int 12
    %3180 = torch.aten.item %3178 : !torch.vtensor<[],f32> -> !torch.float
    %3181 = torch.aten.item %3179 : !torch.vtensor<[],si8> -> !torch.int
    %3182 = torch.aten.quantize_per_tensor %94, %3180, %3181, %int12_700 : !torch.vtensor<[64,64,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,1,1],!torch.qint8>
    %3183 = torch.aten.int_repr %3182 : !torch.vtensor<[64,64,1,1],!torch.qint8> -> !torch.vtensor<[64,64,1,1],si8>
    %3184 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %3185 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3186 = torch.aten.item %3184 : !torch.vtensor<[],f32> -> !torch.float
    %3187 = torch.aten.item %3185 : !torch.vtensor<[],si8> -> !torch.int
    %3188 = torch.aten._make_per_tensor_quantized_tensor %3183, %3186, %3187 : !torch.vtensor<[64,64,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,1,1],!torch.qint8>
    %3189 = torch.aten.dequantize.self %3188 : !torch.vtensor<[64,64,1,1],!torch.qint8> -> !torch.vtensor<[64,64,1,1],f32>
    %3190 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3191 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_701 = torch.constant.int 12
    %3192 = torch.aten.item %3190 : !torch.vtensor<[],f32> -> !torch.float
    %3193 = torch.aten.item %3191 : !torch.vtensor<[],si8> -> !torch.int
    %3194 = torch.aten.quantize_per_tensor %95, %3192, %3193, %int12_701 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3195 = torch.aten.int_repr %3194 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %3196 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3197 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3198 = torch.aten.item %3196 : !torch.vtensor<[],f32> -> !torch.float
    %3199 = torch.aten.item %3197 : !torch.vtensor<[],si8> -> !torch.int
    %3200 = torch.aten._make_per_tensor_quantized_tensor %3195, %3198, %3199 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3201 = torch.aten.dequantize.self %3200 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int0_702 = torch.constant.int 0
    %int0_703 = torch.constant.int 0
    %int1_704 = torch.constant.int 1
    %int1_705 = torch.constant.int 1
    %int1_706 = torch.constant.int 1
    %int1_707 = torch.constant.int 1
    %int0_708 = torch.constant.int 0
    %3202 = torch.prim.ListConstruct %int0_702, %int0_703 : (!torch.int, !torch.int) -> !torch.list<int>
    %3203 = torch.prim.ListConstruct %int1_704, %int1_705 : (!torch.int, !torch.int) -> !torch.list<int>
    %3204 = torch.prim.ListConstruct %int1_706, %int1_707 : (!torch.int, !torch.int) -> !torch.list<int>
    %3205 = torch.prim.ListConstruct %int0_708, %int0_708 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_709 = torch.constant.bool false
    %int1_710 = torch.constant.int 1
    %3206 = torch.aten.convolution %3177, %3189, %3201, %3204, %3202, %3203, %false_709, %3205, %int1_710 : !torch.vtensor<[1,64,80,80],f32>, !torch.vtensor<[64,64,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,80,80],f32>
    %3207 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %3208 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_711 = torch.constant.int 12
    %3209 = torch.aten.item %3207 : !torch.vtensor<[],f32> -> !torch.float
    %3210 = torch.aten.item %3208 : !torch.vtensor<[],si8> -> !torch.int
    %3211 = torch.aten.quantize_per_tensor %96, %3209, %3210, %int12_711 : !torch.vtensor<[80,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80,64,3,3],!torch.qint8>
    %3212 = torch.aten.int_repr %3211 : !torch.vtensor<[80,64,3,3],!torch.qint8> -> !torch.vtensor<[80,64,3,3],si8>
    %3213 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %3214 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3215 = torch.aten.item %3213 : !torch.vtensor<[],f32> -> !torch.float
    %3216 = torch.aten.item %3214 : !torch.vtensor<[],si8> -> !torch.int
    %3217 = torch.aten._make_per_tensor_quantized_tensor %3212, %3215, %3216 : !torch.vtensor<[80,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[80,64,3,3],!torch.qint8>
    %3218 = torch.aten.dequantize.self %3217 : !torch.vtensor<[80,64,3,3],!torch.qint8> -> !torch.vtensor<[80,64,3,3],f32>
    %3219 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3220 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_712 = torch.constant.int 12
    %3221 = torch.aten.item %3219 : !torch.vtensor<[],f32> -> !torch.float
    %3222 = torch.aten.item %3220 : !torch.vtensor<[],si8> -> !torch.int
    %3223 = torch.aten.quantize_per_tensor %97, %3221, %3222, %int12_712 : !torch.vtensor<[80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3224 = torch.aten.int_repr %3223 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],si8>
    %3225 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3226 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3227 = torch.aten.item %3225 : !torch.vtensor<[],f32> -> !torch.float
    %3228 = torch.aten.item %3226 : !torch.vtensor<[],si8> -> !torch.int
    %3229 = torch.aten._make_per_tensor_quantized_tensor %3224, %3227, %3228 : !torch.vtensor<[80],si8>, !torch.float, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3230 = torch.aten.dequantize.self %3229 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],f32>
    %int1_713 = torch.constant.int 1
    %int1_714 = torch.constant.int 1
    %int1_715 = torch.constant.int 1
    %int1_716 = torch.constant.int 1
    %int1_717 = torch.constant.int 1
    %int1_718 = torch.constant.int 1
    %int0_719 = torch.constant.int 0
    %3231 = torch.prim.ListConstruct %int1_713, %int1_714 : (!torch.int, !torch.int) -> !torch.list<int>
    %3232 = torch.prim.ListConstruct %int1_715, %int1_716 : (!torch.int, !torch.int) -> !torch.list<int>
    %3233 = torch.prim.ListConstruct %int1_717, %int1_718 : (!torch.int, !torch.int) -> !torch.list<int>
    %3234 = torch.prim.ListConstruct %int0_719, %int0_719 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_720 = torch.constant.bool false
    %int1_721 = torch.constant.int 1
    %3235 = torch.aten.convolution %2452, %3218, %3230, %3233, %3231, %3232, %false_720, %3234, %int1_721 : !torch.vtensor<[1,64,80,80],f32>, !torch.vtensor<[80,64,3,3],f32>, !torch.vtensor<[80],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,80,80,80],f32>
    %3236 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3237 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_722 = torch.constant.int 12
    %3238 = torch.aten.item %3236 : !torch.vtensor<[],f32> -> !torch.float
    %3239 = torch.aten.item %3237 : !torch.vtensor<[],si8> -> !torch.int
    %3240 = torch.aten.quantize_per_tensor %3235, %3238, %3239, %int12_722 : !torch.vtensor<[1,80,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,80,80,80],!torch.qint8>
    %3241 = torch.aten.int_repr %3240 : !torch.vtensor<[1,80,80,80],!torch.qint8> -> !torch.vtensor<[1,80,80,80],si8>
    %3242 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3243 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3244 = torch.aten.item %3242 : !torch.vtensor<[],f32> -> !torch.float
    %3245 = torch.aten.item %3243 : !torch.vtensor<[],si8> -> !torch.int
    %3246 = torch.aten._make_per_tensor_quantized_tensor %3241, %3244, %3245 : !torch.vtensor<[1,80,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,80,80,80],!torch.qint8>
    %3247 = torch.aten.dequantize.self %3246 : !torch.vtensor<[1,80,80,80],!torch.qint8> -> !torch.vtensor<[1,80,80,80],f32>
    %3248 = torch.aten.sigmoid %3247 : !torch.vtensor<[1,80,80,80],f32> -> !torch.vtensor<[1,80,80,80],f32>
    %3249 = torch.aten.mul.Tensor %3247, %3248 : !torch.vtensor<[1,80,80,80],f32>, !torch.vtensor<[1,80,80,80],f32> -> !torch.vtensor<[1,80,80,80],f32>
    %3250 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3251 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_723 = torch.constant.int 12
    %3252 = torch.aten.item %3250 : !torch.vtensor<[],f32> -> !torch.float
    %3253 = torch.aten.item %3251 : !torch.vtensor<[],si8> -> !torch.int
    %3254 = torch.aten.quantize_per_tensor %3249, %3252, %3253, %int12_723 : !torch.vtensor<[1,80,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,80,80,80],!torch.qint8>
    %3255 = torch.aten.int_repr %3254 : !torch.vtensor<[1,80,80,80],!torch.qint8> -> !torch.vtensor<[1,80,80,80],si8>
    %3256 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3257 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3258 = torch.aten.item %3256 : !torch.vtensor<[],f32> -> !torch.float
    %3259 = torch.aten.item %3257 : !torch.vtensor<[],si8> -> !torch.int
    %3260 = torch.aten._make_per_tensor_quantized_tensor %3255, %3258, %3259 : !torch.vtensor<[1,80,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,80,80,80],!torch.qint8>
    %3261 = torch.aten.dequantize.self %3260 : !torch.vtensor<[1,80,80,80],!torch.qint8> -> !torch.vtensor<[1,80,80,80],f32>
    %3262 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3263 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_724 = torch.constant.int 12
    %3264 = torch.aten.item %3262 : !torch.vtensor<[],f32> -> !torch.float
    %3265 = torch.aten.item %3263 : !torch.vtensor<[],si8> -> !torch.int
    %3266 = torch.aten.quantize_per_tensor %98, %3264, %3265, %int12_724 : !torch.vtensor<[80,80,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80,80,3,3],!torch.qint8>
    %3267 = torch.aten.int_repr %3266 : !torch.vtensor<[80,80,3,3],!torch.qint8> -> !torch.vtensor<[80,80,3,3],si8>
    %3268 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3269 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3270 = torch.aten.item %3268 : !torch.vtensor<[],f32> -> !torch.float
    %3271 = torch.aten.item %3269 : !torch.vtensor<[],si8> -> !torch.int
    %3272 = torch.aten._make_per_tensor_quantized_tensor %3267, %3270, %3271 : !torch.vtensor<[80,80,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[80,80,3,3],!torch.qint8>
    %3273 = torch.aten.dequantize.self %3272 : !torch.vtensor<[80,80,3,3],!torch.qint8> -> !torch.vtensor<[80,80,3,3],f32>
    %3274 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3275 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_725 = torch.constant.int 12
    %3276 = torch.aten.item %3274 : !torch.vtensor<[],f32> -> !torch.float
    %3277 = torch.aten.item %3275 : !torch.vtensor<[],si8> -> !torch.int
    %3278 = torch.aten.quantize_per_tensor %99, %3276, %3277, %int12_725 : !torch.vtensor<[80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3279 = torch.aten.int_repr %3278 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],si8>
    %3280 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3281 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3282 = torch.aten.item %3280 : !torch.vtensor<[],f32> -> !torch.float
    %3283 = torch.aten.item %3281 : !torch.vtensor<[],si8> -> !torch.int
    %3284 = torch.aten._make_per_tensor_quantized_tensor %3279, %3282, %3283 : !torch.vtensor<[80],si8>, !torch.float, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3285 = torch.aten.dequantize.self %3284 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],f32>
    %int1_726 = torch.constant.int 1
    %int1_727 = torch.constant.int 1
    %int1_728 = torch.constant.int 1
    %int1_729 = torch.constant.int 1
    %int1_730 = torch.constant.int 1
    %int1_731 = torch.constant.int 1
    %int0_732 = torch.constant.int 0
    %3286 = torch.prim.ListConstruct %int1_726, %int1_727 : (!torch.int, !torch.int) -> !torch.list<int>
    %3287 = torch.prim.ListConstruct %int1_728, %int1_729 : (!torch.int, !torch.int) -> !torch.list<int>
    %3288 = torch.prim.ListConstruct %int1_730, %int1_731 : (!torch.int, !torch.int) -> !torch.list<int>
    %3289 = torch.prim.ListConstruct %int0_732, %int0_732 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_733 = torch.constant.bool false
    %int1_734 = torch.constant.int 1
    %3290 = torch.aten.convolution %3261, %3273, %3285, %3288, %3286, %3287, %false_733, %3289, %int1_734 : !torch.vtensor<[1,80,80,80],f32>, !torch.vtensor<[80,80,3,3],f32>, !torch.vtensor<[80],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,80,80,80],f32>
    %3291 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3292 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_735 = torch.constant.int 12
    %3293 = torch.aten.item %3291 : !torch.vtensor<[],f32> -> !torch.float
    %3294 = torch.aten.item %3292 : !torch.vtensor<[],si8> -> !torch.int
    %3295 = torch.aten.quantize_per_tensor %3290, %3293, %3294, %int12_735 : !torch.vtensor<[1,80,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,80,80,80],!torch.qint8>
    %3296 = torch.aten.int_repr %3295 : !torch.vtensor<[1,80,80,80],!torch.qint8> -> !torch.vtensor<[1,80,80,80],si8>
    %3297 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3298 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3299 = torch.aten.item %3297 : !torch.vtensor<[],f32> -> !torch.float
    %3300 = torch.aten.item %3298 : !torch.vtensor<[],si8> -> !torch.int
    %3301 = torch.aten._make_per_tensor_quantized_tensor %3296, %3299, %3300 : !torch.vtensor<[1,80,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,80,80,80],!torch.qint8>
    %3302 = torch.aten.dequantize.self %3301 : !torch.vtensor<[1,80,80,80],!torch.qint8> -> !torch.vtensor<[1,80,80,80],f32>
    %3303 = torch.aten.sigmoid %3302 : !torch.vtensor<[1,80,80,80],f32> -> !torch.vtensor<[1,80,80,80],f32>
    %3304 = torch.aten.mul.Tensor %3302, %3303 : !torch.vtensor<[1,80,80,80],f32>, !torch.vtensor<[1,80,80,80],f32> -> !torch.vtensor<[1,80,80,80],f32>
    %3305 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3306 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_736 = torch.constant.int 12
    %3307 = torch.aten.item %3305 : !torch.vtensor<[],f32> -> !torch.float
    %3308 = torch.aten.item %3306 : !torch.vtensor<[],si8> -> !torch.int
    %3309 = torch.aten.quantize_per_tensor %3304, %3307, %3308, %int12_736 : !torch.vtensor<[1,80,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,80,80,80],!torch.qint8>
    %3310 = torch.aten.int_repr %3309 : !torch.vtensor<[1,80,80,80],!torch.qint8> -> !torch.vtensor<[1,80,80,80],si8>
    %3311 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3312 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3313 = torch.aten.item %3311 : !torch.vtensor<[],f32> -> !torch.float
    %3314 = torch.aten.item %3312 : !torch.vtensor<[],si8> -> !torch.int
    %3315 = torch.aten._make_per_tensor_quantized_tensor %3310, %3313, %3314 : !torch.vtensor<[1,80,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,80,80,80],!torch.qint8>
    %3316 = torch.aten.dequantize.self %3315 : !torch.vtensor<[1,80,80,80],!torch.qint8> -> !torch.vtensor<[1,80,80,80],f32>
    %3317 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %3318 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_737 = torch.constant.int 12
    %3319 = torch.aten.item %3317 : !torch.vtensor<[],f32> -> !torch.float
    %3320 = torch.aten.item %3318 : !torch.vtensor<[],si8> -> !torch.int
    %3321 = torch.aten.quantize_per_tensor %100, %3319, %3320, %int12_737 : !torch.vtensor<[80,80,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80,80,1,1],!torch.qint8>
    %3322 = torch.aten.int_repr %3321 : !torch.vtensor<[80,80,1,1],!torch.qint8> -> !torch.vtensor<[80,80,1,1],si8>
    %3323 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %3324 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3325 = torch.aten.item %3323 : !torch.vtensor<[],f32> -> !torch.float
    %3326 = torch.aten.item %3324 : !torch.vtensor<[],si8> -> !torch.int
    %3327 = torch.aten._make_per_tensor_quantized_tensor %3322, %3325, %3326 : !torch.vtensor<[80,80,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[80,80,1,1],!torch.qint8>
    %3328 = torch.aten.dequantize.self %3327 : !torch.vtensor<[80,80,1,1],!torch.qint8> -> !torch.vtensor<[80,80,1,1],f32>
    %3329 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3330 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_738 = torch.constant.int 12
    %3331 = torch.aten.item %3329 : !torch.vtensor<[],f32> -> !torch.float
    %3332 = torch.aten.item %3330 : !torch.vtensor<[],si8> -> !torch.int
    %3333 = torch.aten.quantize_per_tensor %101, %3331, %3332, %int12_738 : !torch.vtensor<[80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3334 = torch.aten.int_repr %3333 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],si8>
    %3335 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3336 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3337 = torch.aten.item %3335 : !torch.vtensor<[],f32> -> !torch.float
    %3338 = torch.aten.item %3336 : !torch.vtensor<[],si8> -> !torch.int
    %3339 = torch.aten._make_per_tensor_quantized_tensor %3334, %3337, %3338 : !torch.vtensor<[80],si8>, !torch.float, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3340 = torch.aten.dequantize.self %3339 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],f32>
    %int0_739 = torch.constant.int 0
    %int0_740 = torch.constant.int 0
    %int1_741 = torch.constant.int 1
    %int1_742 = torch.constant.int 1
    %int1_743 = torch.constant.int 1
    %int1_744 = torch.constant.int 1
    %int0_745 = torch.constant.int 0
    %3341 = torch.prim.ListConstruct %int0_739, %int0_740 : (!torch.int, !torch.int) -> !torch.list<int>
    %3342 = torch.prim.ListConstruct %int1_741, %int1_742 : (!torch.int, !torch.int) -> !torch.list<int>
    %3343 = torch.prim.ListConstruct %int1_743, %int1_744 : (!torch.int, !torch.int) -> !torch.list<int>
    %3344 = torch.prim.ListConstruct %int0_745, %int0_745 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_746 = torch.constant.bool false
    %int1_747 = torch.constant.int 1
    %3345 = torch.aten.convolution %3316, %3328, %3340, %3343, %3341, %3342, %false_746, %3344, %int1_747 : !torch.vtensor<[1,80,80,80],f32>, !torch.vtensor<[80,80,1,1],f32>, !torch.vtensor<[80],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,80,80,80],f32>
    %3346 = torch.prim.ListConstruct %3206, %3345 : (!torch.vtensor<[1,64,80,80],f32>, !torch.vtensor<[1,80,80,80],f32>) -> !torch.list<vtensor>
    %int1_748 = torch.constant.int 1
    %3347 = torch.aten.cat %3346, %int1_748 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[1,144,80,80],f32>
    %3348 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3349 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_749 = torch.constant.int 12
    %3350 = torch.aten.item %3348 : !torch.vtensor<[],f32> -> !torch.float
    %3351 = torch.aten.item %3349 : !torch.vtensor<[],si8> -> !torch.int
    %3352 = torch.aten.quantize_per_tensor %3347, %3350, %3351, %int12_749 : !torch.vtensor<[1,144,80,80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,144,80,80],!torch.qint8>
    %3353 = torch.aten.int_repr %3352 : !torch.vtensor<[1,144,80,80],!torch.qint8> -> !torch.vtensor<[1,144,80,80],si8>
    %3354 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3355 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3356 = torch.aten.item %3354 : !torch.vtensor<[],f32> -> !torch.float
    %3357 = torch.aten.item %3355 : !torch.vtensor<[],si8> -> !torch.int
    %3358 = torch.aten._make_per_tensor_quantized_tensor %3353, %3356, %3357 : !torch.vtensor<[1,144,80,80],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,144,80,80],!torch.qint8>
    %3359 = torch.aten.dequantize.self %3358 : !torch.vtensor<[1,144,80,80],!torch.qint8> -> !torch.vtensor<[1,144,80,80],f32>
    %3360 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3361 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_750 = torch.constant.int 12
    %3362 = torch.aten.item %3360 : !torch.vtensor<[],f32> -> !torch.float
    %3363 = torch.aten.item %3361 : !torch.vtensor<[],si8> -> !torch.int
    %3364 = torch.aten.quantize_per_tensor %102, %3362, %3363, %int12_750 : !torch.vtensor<[64,128,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,128,3,3],!torch.qint8>
    %3365 = torch.aten.int_repr %3364 : !torch.vtensor<[64,128,3,3],!torch.qint8> -> !torch.vtensor<[64,128,3,3],si8>
    %3366 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3367 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3368 = torch.aten.item %3366 : !torch.vtensor<[],f32> -> !torch.float
    %3369 = torch.aten.item %3367 : !torch.vtensor<[],si8> -> !torch.int
    %3370 = torch.aten._make_per_tensor_quantized_tensor %3365, %3368, %3369 : !torch.vtensor<[64,128,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,128,3,3],!torch.qint8>
    %3371 = torch.aten.dequantize.self %3370 : !torch.vtensor<[64,128,3,3],!torch.qint8> -> !torch.vtensor<[64,128,3,3],f32>
    %3372 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3373 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_751 = torch.constant.int 12
    %3374 = torch.aten.item %3372 : !torch.vtensor<[],f32> -> !torch.float
    %3375 = torch.aten.item %3373 : !torch.vtensor<[],si8> -> !torch.int
    %3376 = torch.aten.quantize_per_tensor %103, %3374, %3375, %int12_751 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3377 = torch.aten.int_repr %3376 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %3378 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3379 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3380 = torch.aten.item %3378 : !torch.vtensor<[],f32> -> !torch.float
    %3381 = torch.aten.item %3379 : !torch.vtensor<[],si8> -> !torch.int
    %3382 = torch.aten._make_per_tensor_quantized_tensor %3377, %3380, %3381 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3383 = torch.aten.dequantize.self %3382 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int1_752 = torch.constant.int 1
    %int1_753 = torch.constant.int 1
    %int1_754 = torch.constant.int 1
    %int1_755 = torch.constant.int 1
    %int1_756 = torch.constant.int 1
    %int1_757 = torch.constant.int 1
    %int0_758 = torch.constant.int 0
    %3384 = torch.prim.ListConstruct %int1_752, %int1_753 : (!torch.int, !torch.int) -> !torch.list<int>
    %3385 = torch.prim.ListConstruct %int1_754, %int1_755 : (!torch.int, !torch.int) -> !torch.list<int>
    %3386 = torch.prim.ListConstruct %int1_756, %int1_757 : (!torch.int, !torch.int) -> !torch.list<int>
    %3387 = torch.prim.ListConstruct %int0_758, %int0_758 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_759 = torch.constant.bool false
    %int1_760 = torch.constant.int 1
    %3388 = torch.aten.convolution %2759, %3371, %3383, %3386, %3384, %3385, %false_759, %3387, %int1_760 : !torch.vtensor<[1,128,40,40],f32>, !torch.vtensor<[64,128,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %3389 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3390 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_761 = torch.constant.int 12
    %3391 = torch.aten.item %3389 : !torch.vtensor<[],f32> -> !torch.float
    %3392 = torch.aten.item %3390 : !torch.vtensor<[],si8> -> !torch.int
    %3393 = torch.aten.quantize_per_tensor %3388, %3391, %3392, %int12_761 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %3394 = torch.aten.int_repr %3393 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %3395 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3396 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3397 = torch.aten.item %3395 : !torch.vtensor<[],f32> -> !torch.float
    %3398 = torch.aten.item %3396 : !torch.vtensor<[],si8> -> !torch.int
    %3399 = torch.aten._make_per_tensor_quantized_tensor %3394, %3397, %3398 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %3400 = torch.aten.dequantize.self %3399 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %3401 = torch.aten.sigmoid %3400 : !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %3402 = torch.aten.mul.Tensor %3400, %3401 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %3403 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3404 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_762 = torch.constant.int 12
    %3405 = torch.aten.item %3403 : !torch.vtensor<[],f32> -> !torch.float
    %3406 = torch.aten.item %3404 : !torch.vtensor<[],si8> -> !torch.int
    %3407 = torch.aten.quantize_per_tensor %3402, %3405, %3406, %int12_762 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %3408 = torch.aten.int_repr %3407 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %3409 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3410 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3411 = torch.aten.item %3409 : !torch.vtensor<[],f32> -> !torch.float
    %3412 = torch.aten.item %3410 : !torch.vtensor<[],si8> -> !torch.int
    %3413 = torch.aten._make_per_tensor_quantized_tensor %3408, %3411, %3412 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %3414 = torch.aten.dequantize.self %3413 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %3415 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3416 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_763 = torch.constant.int 12
    %3417 = torch.aten.item %3415 : !torch.vtensor<[],f32> -> !torch.float
    %3418 = torch.aten.item %3416 : !torch.vtensor<[],si8> -> !torch.int
    %3419 = torch.aten.quantize_per_tensor %104, %3417, %3418, %int12_763 : !torch.vtensor<[64,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %3420 = torch.aten.int_repr %3419 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],si8>
    %3421 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3422 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3423 = torch.aten.item %3421 : !torch.vtensor<[],f32> -> !torch.float
    %3424 = torch.aten.item %3422 : !torch.vtensor<[],si8> -> !torch.int
    %3425 = torch.aten._make_per_tensor_quantized_tensor %3420, %3423, %3424 : !torch.vtensor<[64,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %3426 = torch.aten.dequantize.self %3425 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],f32>
    %3427 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3428 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_764 = torch.constant.int 12
    %3429 = torch.aten.item %3427 : !torch.vtensor<[],f32> -> !torch.float
    %3430 = torch.aten.item %3428 : !torch.vtensor<[],si8> -> !torch.int
    %3431 = torch.aten.quantize_per_tensor %105, %3429, %3430, %int12_764 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3432 = torch.aten.int_repr %3431 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %3433 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3434 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3435 = torch.aten.item %3433 : !torch.vtensor<[],f32> -> !torch.float
    %3436 = torch.aten.item %3434 : !torch.vtensor<[],si8> -> !torch.int
    %3437 = torch.aten._make_per_tensor_quantized_tensor %3432, %3435, %3436 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3438 = torch.aten.dequantize.self %3437 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int1_765 = torch.constant.int 1
    %int1_766 = torch.constant.int 1
    %int1_767 = torch.constant.int 1
    %int1_768 = torch.constant.int 1
    %int1_769 = torch.constant.int 1
    %int1_770 = torch.constant.int 1
    %int0_771 = torch.constant.int 0
    %3439 = torch.prim.ListConstruct %int1_765, %int1_766 : (!torch.int, !torch.int) -> !torch.list<int>
    %3440 = torch.prim.ListConstruct %int1_767, %int1_768 : (!torch.int, !torch.int) -> !torch.list<int>
    %3441 = torch.prim.ListConstruct %int1_769, %int1_770 : (!torch.int, !torch.int) -> !torch.list<int>
    %3442 = torch.prim.ListConstruct %int0_771, %int0_771 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_772 = torch.constant.bool false
    %int1_773 = torch.constant.int 1
    %3443 = torch.aten.convolution %3414, %3426, %3438, %3441, %3439, %3440, %false_772, %3442, %int1_773 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[64,64,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %3444 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3445 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_774 = torch.constant.int 12
    %3446 = torch.aten.item %3444 : !torch.vtensor<[],f32> -> !torch.float
    %3447 = torch.aten.item %3445 : !torch.vtensor<[],si8> -> !torch.int
    %3448 = torch.aten.quantize_per_tensor %3443, %3446, %3447, %int12_774 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %3449 = torch.aten.int_repr %3448 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %3450 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3451 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3452 = torch.aten.item %3450 : !torch.vtensor<[],f32> -> !torch.float
    %3453 = torch.aten.item %3451 : !torch.vtensor<[],si8> -> !torch.int
    %3454 = torch.aten._make_per_tensor_quantized_tensor %3449, %3452, %3453 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %3455 = torch.aten.dequantize.self %3454 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %3456 = torch.aten.sigmoid %3455 : !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %3457 = torch.aten.mul.Tensor %3455, %3456 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,64,40,40],f32> -> !torch.vtensor<[1,64,40,40],f32>
    %3458 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3459 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_775 = torch.constant.int 12
    %3460 = torch.aten.item %3458 : !torch.vtensor<[],f32> -> !torch.float
    %3461 = torch.aten.item %3459 : !torch.vtensor<[],si8> -> !torch.int
    %3462 = torch.aten.quantize_per_tensor %3457, %3460, %3461, %int12_775 : !torch.vtensor<[1,64,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %3463 = torch.aten.int_repr %3462 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],si8>
    %3464 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3465 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3466 = torch.aten.item %3464 : !torch.vtensor<[],f32> -> !torch.float
    %3467 = torch.aten.item %3465 : !torch.vtensor<[],si8> -> !torch.int
    %3468 = torch.aten._make_per_tensor_quantized_tensor %3463, %3466, %3467 : !torch.vtensor<[1,64,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,40,40],!torch.qint8>
    %3469 = torch.aten.dequantize.self %3468 : !torch.vtensor<[1,64,40,40],!torch.qint8> -> !torch.vtensor<[1,64,40,40],f32>
    %3470 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %3471 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_776 = torch.constant.int 12
    %3472 = torch.aten.item %3470 : !torch.vtensor<[],f32> -> !torch.float
    %3473 = torch.aten.item %3471 : !torch.vtensor<[],si8> -> !torch.int
    %3474 = torch.aten.quantize_per_tensor %106, %3472, %3473, %int12_776 : !torch.vtensor<[64,64,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,1,1],!torch.qint8>
    %3475 = torch.aten.int_repr %3474 : !torch.vtensor<[64,64,1,1],!torch.qint8> -> !torch.vtensor<[64,64,1,1],si8>
    %3476 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %3477 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3478 = torch.aten.item %3476 : !torch.vtensor<[],f32> -> !torch.float
    %3479 = torch.aten.item %3477 : !torch.vtensor<[],si8> -> !torch.int
    %3480 = torch.aten._make_per_tensor_quantized_tensor %3475, %3478, %3479 : !torch.vtensor<[64,64,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,1,1],!torch.qint8>
    %3481 = torch.aten.dequantize.self %3480 : !torch.vtensor<[64,64,1,1],!torch.qint8> -> !torch.vtensor<[64,64,1,1],f32>
    %3482 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3483 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_777 = torch.constant.int 12
    %3484 = torch.aten.item %3482 : !torch.vtensor<[],f32> -> !torch.float
    %3485 = torch.aten.item %3483 : !torch.vtensor<[],si8> -> !torch.int
    %3486 = torch.aten.quantize_per_tensor %107, %3484, %3485, %int12_777 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3487 = torch.aten.int_repr %3486 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %3488 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3489 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3490 = torch.aten.item %3488 : !torch.vtensor<[],f32> -> !torch.float
    %3491 = torch.aten.item %3489 : !torch.vtensor<[],si8> -> !torch.int
    %3492 = torch.aten._make_per_tensor_quantized_tensor %3487, %3490, %3491 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3493 = torch.aten.dequantize.self %3492 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int0_778 = torch.constant.int 0
    %int0_779 = torch.constant.int 0
    %int1_780 = torch.constant.int 1
    %int1_781 = torch.constant.int 1
    %int1_782 = torch.constant.int 1
    %int1_783 = torch.constant.int 1
    %int0_784 = torch.constant.int 0
    %3494 = torch.prim.ListConstruct %int0_778, %int0_779 : (!torch.int, !torch.int) -> !torch.list<int>
    %3495 = torch.prim.ListConstruct %int1_780, %int1_781 : (!torch.int, !torch.int) -> !torch.list<int>
    %3496 = torch.prim.ListConstruct %int1_782, %int1_783 : (!torch.int, !torch.int) -> !torch.list<int>
    %3497 = torch.prim.ListConstruct %int0_784, %int0_784 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_785 = torch.constant.bool false
    %int1_786 = torch.constant.int 1
    %3498 = torch.aten.convolution %3469, %3481, %3493, %3496, %3494, %3495, %false_785, %3497, %int1_786 : !torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[64,64,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,40,40],f32>
    %3499 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %3500 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_787 = torch.constant.int 12
    %3501 = torch.aten.item %3499 : !torch.vtensor<[],f32> -> !torch.float
    %3502 = torch.aten.item %3500 : !torch.vtensor<[],si8> -> !torch.int
    %3503 = torch.aten.quantize_per_tensor %108, %3501, %3502, %int12_787 : !torch.vtensor<[80,128,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80,128,3,3],!torch.qint8>
    %3504 = torch.aten.int_repr %3503 : !torch.vtensor<[80,128,3,3],!torch.qint8> -> !torch.vtensor<[80,128,3,3],si8>
    %3505 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %3506 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3507 = torch.aten.item %3505 : !torch.vtensor<[],f32> -> !torch.float
    %3508 = torch.aten.item %3506 : !torch.vtensor<[],si8> -> !torch.int
    %3509 = torch.aten._make_per_tensor_quantized_tensor %3504, %3507, %3508 : !torch.vtensor<[80,128,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[80,128,3,3],!torch.qint8>
    %3510 = torch.aten.dequantize.self %3509 : !torch.vtensor<[80,128,3,3],!torch.qint8> -> !torch.vtensor<[80,128,3,3],f32>
    %3511 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3512 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_788 = torch.constant.int 12
    %3513 = torch.aten.item %3511 : !torch.vtensor<[],f32> -> !torch.float
    %3514 = torch.aten.item %3512 : !torch.vtensor<[],si8> -> !torch.int
    %3515 = torch.aten.quantize_per_tensor %109, %3513, %3514, %int12_788 : !torch.vtensor<[80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3516 = torch.aten.int_repr %3515 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],si8>
    %3517 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3518 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3519 = torch.aten.item %3517 : !torch.vtensor<[],f32> -> !torch.float
    %3520 = torch.aten.item %3518 : !torch.vtensor<[],si8> -> !torch.int
    %3521 = torch.aten._make_per_tensor_quantized_tensor %3516, %3519, %3520 : !torch.vtensor<[80],si8>, !torch.float, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3522 = torch.aten.dequantize.self %3521 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],f32>
    %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
    %3523 = torch.prim.ListConstruct %int1_789, %int1_790 : (!torch.int, !torch.int) -> !torch.list<int>
    %3524 = torch.prim.ListConstruct %int1_791, %int1_792 : (!torch.int, !torch.int) -> !torch.list<int>
    %3525 = torch.prim.ListConstruct %int1_793, %int1_794 : (!torch.int, !torch.int) -> !torch.list<int>
    %3526 = torch.prim.ListConstruct %int0_795, %int0_795 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_796 = torch.constant.bool false
    %int1_797 = torch.constant.int 1
    %3527 = torch.aten.convolution %2759, %3510, %3522, %3525, %3523, %3524, %false_796, %3526, %int1_797 : !torch.vtensor<[1,128,40,40],f32>, !torch.vtensor<[80,128,3,3],f32>, !torch.vtensor<[80],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,80,40,40],f32>
    %3528 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3529 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_798 = torch.constant.int 12
    %3530 = torch.aten.item %3528 : !torch.vtensor<[],f32> -> !torch.float
    %3531 = torch.aten.item %3529 : !torch.vtensor<[],si8> -> !torch.int
    %3532 = torch.aten.quantize_per_tensor %3527, %3530, %3531, %int12_798 : !torch.vtensor<[1,80,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,80,40,40],!torch.qint8>
    %3533 = torch.aten.int_repr %3532 : !torch.vtensor<[1,80,40,40],!torch.qint8> -> !torch.vtensor<[1,80,40,40],si8>
    %3534 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3535 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3536 = torch.aten.item %3534 : !torch.vtensor<[],f32> -> !torch.float
    %3537 = torch.aten.item %3535 : !torch.vtensor<[],si8> -> !torch.int
    %3538 = torch.aten._make_per_tensor_quantized_tensor %3533, %3536, %3537 : !torch.vtensor<[1,80,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,80,40,40],!torch.qint8>
    %3539 = torch.aten.dequantize.self %3538 : !torch.vtensor<[1,80,40,40],!torch.qint8> -> !torch.vtensor<[1,80,40,40],f32>
    %3540 = torch.aten.sigmoid %3539 : !torch.vtensor<[1,80,40,40],f32> -> !torch.vtensor<[1,80,40,40],f32>
    %3541 = torch.aten.mul.Tensor %3539, %3540 : !torch.vtensor<[1,80,40,40],f32>, !torch.vtensor<[1,80,40,40],f32> -> !torch.vtensor<[1,80,40,40],f32>
    %3542 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3543 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_799 = torch.constant.int 12
    %3544 = torch.aten.item %3542 : !torch.vtensor<[],f32> -> !torch.float
    %3545 = torch.aten.item %3543 : !torch.vtensor<[],si8> -> !torch.int
    %3546 = torch.aten.quantize_per_tensor %3541, %3544, %3545, %int12_799 : !torch.vtensor<[1,80,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,80,40,40],!torch.qint8>
    %3547 = torch.aten.int_repr %3546 : !torch.vtensor<[1,80,40,40],!torch.qint8> -> !torch.vtensor<[1,80,40,40],si8>
    %3548 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3549 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3550 = torch.aten.item %3548 : !torch.vtensor<[],f32> -> !torch.float
    %3551 = torch.aten.item %3549 : !torch.vtensor<[],si8> -> !torch.int
    %3552 = torch.aten._make_per_tensor_quantized_tensor %3547, %3550, %3551 : !torch.vtensor<[1,80,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,80,40,40],!torch.qint8>
    %3553 = torch.aten.dequantize.self %3552 : !torch.vtensor<[1,80,40,40],!torch.qint8> -> !torch.vtensor<[1,80,40,40],f32>
    %3554 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3555 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_800 = torch.constant.int 12
    %3556 = torch.aten.item %3554 : !torch.vtensor<[],f32> -> !torch.float
    %3557 = torch.aten.item %3555 : !torch.vtensor<[],si8> -> !torch.int
    %3558 = torch.aten.quantize_per_tensor %110, %3556, %3557, %int12_800 : !torch.vtensor<[80,80,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80,80,3,3],!torch.qint8>
    %3559 = torch.aten.int_repr %3558 : !torch.vtensor<[80,80,3,3],!torch.qint8> -> !torch.vtensor<[80,80,3,3],si8>
    %3560 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3561 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3562 = torch.aten.item %3560 : !torch.vtensor<[],f32> -> !torch.float
    %3563 = torch.aten.item %3561 : !torch.vtensor<[],si8> -> !torch.int
    %3564 = torch.aten._make_per_tensor_quantized_tensor %3559, %3562, %3563 : !torch.vtensor<[80,80,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[80,80,3,3],!torch.qint8>
    %3565 = torch.aten.dequantize.self %3564 : !torch.vtensor<[80,80,3,3],!torch.qint8> -> !torch.vtensor<[80,80,3,3],f32>
    %3566 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3567 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_801 = torch.constant.int 12
    %3568 = torch.aten.item %3566 : !torch.vtensor<[],f32> -> !torch.float
    %3569 = torch.aten.item %3567 : !torch.vtensor<[],si8> -> !torch.int
    %3570 = torch.aten.quantize_per_tensor %111, %3568, %3569, %int12_801 : !torch.vtensor<[80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3571 = torch.aten.int_repr %3570 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],si8>
    %3572 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3573 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3574 = torch.aten.item %3572 : !torch.vtensor<[],f32> -> !torch.float
    %3575 = torch.aten.item %3573 : !torch.vtensor<[],si8> -> !torch.int
    %3576 = torch.aten._make_per_tensor_quantized_tensor %3571, %3574, %3575 : !torch.vtensor<[80],si8>, !torch.float, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3577 = torch.aten.dequantize.self %3576 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],f32>
    %int1_802 = torch.constant.int 1
    %int1_803 = torch.constant.int 1
    %int1_804 = torch.constant.int 1
    %int1_805 = torch.constant.int 1
    %int1_806 = torch.constant.int 1
    %int1_807 = torch.constant.int 1
    %int0_808 = torch.constant.int 0
    %3578 = torch.prim.ListConstruct %int1_802, %int1_803 : (!torch.int, !torch.int) -> !torch.list<int>
    %3579 = torch.prim.ListConstruct %int1_804, %int1_805 : (!torch.int, !torch.int) -> !torch.list<int>
    %3580 = torch.prim.ListConstruct %int1_806, %int1_807 : (!torch.int, !torch.int) -> !torch.list<int>
    %3581 = torch.prim.ListConstruct %int0_808, %int0_808 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_809 = torch.constant.bool false
    %int1_810 = torch.constant.int 1
    %3582 = torch.aten.convolution %3553, %3565, %3577, %3580, %3578, %3579, %false_809, %3581, %int1_810 : !torch.vtensor<[1,80,40,40],f32>, !torch.vtensor<[80,80,3,3],f32>, !torch.vtensor<[80],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,80,40,40],f32>
    %3583 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3584 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_811 = torch.constant.int 12
    %3585 = torch.aten.item %3583 : !torch.vtensor<[],f32> -> !torch.float
    %3586 = torch.aten.item %3584 : !torch.vtensor<[],si8> -> !torch.int
    %3587 = torch.aten.quantize_per_tensor %3582, %3585, %3586, %int12_811 : !torch.vtensor<[1,80,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,80,40,40],!torch.qint8>
    %3588 = torch.aten.int_repr %3587 : !torch.vtensor<[1,80,40,40],!torch.qint8> -> !torch.vtensor<[1,80,40,40],si8>
    %3589 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3590 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3591 = torch.aten.item %3589 : !torch.vtensor<[],f32> -> !torch.float
    %3592 = torch.aten.item %3590 : !torch.vtensor<[],si8> -> !torch.int
    %3593 = torch.aten._make_per_tensor_quantized_tensor %3588, %3591, %3592 : !torch.vtensor<[1,80,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,80,40,40],!torch.qint8>
    %3594 = torch.aten.dequantize.self %3593 : !torch.vtensor<[1,80,40,40],!torch.qint8> -> !torch.vtensor<[1,80,40,40],f32>
    %3595 = torch.aten.sigmoid %3594 : !torch.vtensor<[1,80,40,40],f32> -> !torch.vtensor<[1,80,40,40],f32>
    %3596 = torch.aten.mul.Tensor %3594, %3595 : !torch.vtensor<[1,80,40,40],f32>, !torch.vtensor<[1,80,40,40],f32> -> !torch.vtensor<[1,80,40,40],f32>
    %3597 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3598 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_812 = torch.constant.int 12
    %3599 = torch.aten.item %3597 : !torch.vtensor<[],f32> -> !torch.float
    %3600 = torch.aten.item %3598 : !torch.vtensor<[],si8> -> !torch.int
    %3601 = torch.aten.quantize_per_tensor %3596, %3599, %3600, %int12_812 : !torch.vtensor<[1,80,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,80,40,40],!torch.qint8>
    %3602 = torch.aten.int_repr %3601 : !torch.vtensor<[1,80,40,40],!torch.qint8> -> !torch.vtensor<[1,80,40,40],si8>
    %3603 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3604 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3605 = torch.aten.item %3603 : !torch.vtensor<[],f32> -> !torch.float
    %3606 = torch.aten.item %3604 : !torch.vtensor<[],si8> -> !torch.int
    %3607 = torch.aten._make_per_tensor_quantized_tensor %3602, %3605, %3606 : !torch.vtensor<[1,80,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,80,40,40],!torch.qint8>
    %3608 = torch.aten.dequantize.self %3607 : !torch.vtensor<[1,80,40,40],!torch.qint8> -> !torch.vtensor<[1,80,40,40],f32>
    %3609 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %3610 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_813 = torch.constant.int 12
    %3611 = torch.aten.item %3609 : !torch.vtensor<[],f32> -> !torch.float
    %3612 = torch.aten.item %3610 : !torch.vtensor<[],si8> -> !torch.int
    %3613 = torch.aten.quantize_per_tensor %112, %3611, %3612, %int12_813 : !torch.vtensor<[80,80,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80,80,1,1],!torch.qint8>
    %3614 = torch.aten.int_repr %3613 : !torch.vtensor<[80,80,1,1],!torch.qint8> -> !torch.vtensor<[80,80,1,1],si8>
    %3615 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
    %3616 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3617 = torch.aten.item %3615 : !torch.vtensor<[],f32> -> !torch.float
    %3618 = torch.aten.item %3616 : !torch.vtensor<[],si8> -> !torch.int
    %3619 = torch.aten._make_per_tensor_quantized_tensor %3614, %3617, %3618 : !torch.vtensor<[80,80,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[80,80,1,1],!torch.qint8>
    %3620 = torch.aten.dequantize.self %3619 : !torch.vtensor<[80,80,1,1],!torch.qint8> -> !torch.vtensor<[80,80,1,1],f32>
    %3621 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3622 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_814 = torch.constant.int 12
    %3623 = torch.aten.item %3621 : !torch.vtensor<[],f32> -> !torch.float
    %3624 = torch.aten.item %3622 : !torch.vtensor<[],si8> -> !torch.int
    %3625 = torch.aten.quantize_per_tensor %113, %3623, %3624, %int12_814 : !torch.vtensor<[80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3626 = torch.aten.int_repr %3625 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],si8>
    %3627 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3628 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3629 = torch.aten.item %3627 : !torch.vtensor<[],f32> -> !torch.float
    %3630 = torch.aten.item %3628 : !torch.vtensor<[],si8> -> !torch.int
    %3631 = torch.aten._make_per_tensor_quantized_tensor %3626, %3629, %3630 : !torch.vtensor<[80],si8>, !torch.float, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3632 = torch.aten.dequantize.self %3631 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],f32>
    %int0_815 = torch.constant.int 0
    %int0_816 = torch.constant.int 0
    %int1_817 = torch.constant.int 1
    %int1_818 = torch.constant.int 1
    %int1_819 = torch.constant.int 1
    %int1_820 = torch.constant.int 1
    %int0_821 = torch.constant.int 0
    %3633 = torch.prim.ListConstruct %int0_815, %int0_816 : (!torch.int, !torch.int) -> !torch.list<int>
    %3634 = torch.prim.ListConstruct %int1_817, %int1_818 : (!torch.int, !torch.int) -> !torch.list<int>
    %3635 = torch.prim.ListConstruct %int1_819, %int1_820 : (!torch.int, !torch.int) -> !torch.list<int>
    %3636 = torch.prim.ListConstruct %int0_821, %int0_821 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_822 = torch.constant.bool false
    %int1_823 = torch.constant.int 1
    %3637 = torch.aten.convolution %3608, %3620, %3632, %3635, %3633, %3634, %false_822, %3636, %int1_823 : !torch.vtensor<[1,80,40,40],f32>, !torch.vtensor<[80,80,1,1],f32>, !torch.vtensor<[80],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,80,40,40],f32>
    %3638 = torch.prim.ListConstruct %3498, %3637 : (!torch.vtensor<[1,64,40,40],f32>, !torch.vtensor<[1,80,40,40],f32>) -> !torch.list<vtensor>
    %int1_824 = torch.constant.int 1
    %3639 = torch.aten.cat %3638, %int1_824 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[1,144,40,40],f32>
    %3640 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3641 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_825 = torch.constant.int 12
    %3642 = torch.aten.item %3640 : !torch.vtensor<[],f32> -> !torch.float
    %3643 = torch.aten.item %3641 : !torch.vtensor<[],si8> -> !torch.int
    %3644 = torch.aten.quantize_per_tensor %3639, %3642, %3643, %int12_825 : !torch.vtensor<[1,144,40,40],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,144,40,40],!torch.qint8>
    %3645 = torch.aten.int_repr %3644 : !torch.vtensor<[1,144,40,40],!torch.qint8> -> !torch.vtensor<[1,144,40,40],si8>
    %3646 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3647 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3648 = torch.aten.item %3646 : !torch.vtensor<[],f32> -> !torch.float
    %3649 = torch.aten.item %3647 : !torch.vtensor<[],si8> -> !torch.int
    %3650 = torch.aten._make_per_tensor_quantized_tensor %3645, %3648, %3649 : !torch.vtensor<[1,144,40,40],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,144,40,40],!torch.qint8>
    %3651 = torch.aten.dequantize.self %3650 : !torch.vtensor<[1,144,40,40],!torch.qint8> -> !torch.vtensor<[1,144,40,40],f32>
    %3652 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %3653 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_826 = torch.constant.int 12
    %3654 = torch.aten.item %3652 : !torch.vtensor<[],f32> -> !torch.float
    %3655 = torch.aten.item %3653 : !torch.vtensor<[],si8> -> !torch.int
    %3656 = torch.aten.quantize_per_tensor %114, %3654, %3655, %int12_826 : !torch.vtensor<[64,256,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,256,3,3],!torch.qint8>
    %3657 = torch.aten.int_repr %3656 : !torch.vtensor<[64,256,3,3],!torch.qint8> -> !torch.vtensor<[64,256,3,3],si8>
    %3658 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %3659 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3660 = torch.aten.item %3658 : !torch.vtensor<[],f32> -> !torch.float
    %3661 = torch.aten.item %3659 : !torch.vtensor<[],si8> -> !torch.int
    %3662 = torch.aten._make_per_tensor_quantized_tensor %3657, %3660, %3661 : !torch.vtensor<[64,256,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,256,3,3],!torch.qint8>
    %3663 = torch.aten.dequantize.self %3662 : !torch.vtensor<[64,256,3,3],!torch.qint8> -> !torch.vtensor<[64,256,3,3],f32>
    %3664 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3665 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_827 = torch.constant.int 12
    %3666 = torch.aten.item %3664 : !torch.vtensor<[],f32> -> !torch.float
    %3667 = torch.aten.item %3665 : !torch.vtensor<[],si8> -> !torch.int
    %3668 = torch.aten.quantize_per_tensor %115, %3666, %3667, %int12_827 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3669 = torch.aten.int_repr %3668 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %3670 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3671 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3672 = torch.aten.item %3670 : !torch.vtensor<[],f32> -> !torch.float
    %3673 = torch.aten.item %3671 : !torch.vtensor<[],si8> -> !torch.int
    %3674 = torch.aten._make_per_tensor_quantized_tensor %3669, %3672, %3673 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3675 = torch.aten.dequantize.self %3674 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int1_828 = torch.constant.int 1
    %int1_829 = torch.constant.int 1
    %int1_830 = torch.constant.int 1
    %int1_831 = torch.constant.int 1
    %int1_832 = torch.constant.int 1
    %int1_833 = torch.constant.int 1
    %int0_834 = torch.constant.int 0
    %3676 = torch.prim.ListConstruct %int1_828, %int1_829 : (!torch.int, !torch.int) -> !torch.list<int>
    %3677 = torch.prim.ListConstruct %int1_830, %int1_831 : (!torch.int, !torch.int) -> !torch.list<int>
    %3678 = torch.prim.ListConstruct %int1_832, %int1_833 : (!torch.int, !torch.int) -> !torch.list<int>
    %3679 = torch.prim.ListConstruct %int0_834, %int0_834 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_835 = torch.constant.bool false
    %int1_836 = torch.constant.int 1
    %3680 = torch.aten.convolution %3066, %3663, %3675, %3678, %3676, %3677, %false_835, %3679, %int1_836 : !torch.vtensor<[1,256,20,20],f32>, !torch.vtensor<[64,256,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,20,20],f32>
    %3681 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3682 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_837 = torch.constant.int 12
    %3683 = torch.aten.item %3681 : !torch.vtensor<[],f32> -> !torch.float
    %3684 = torch.aten.item %3682 : !torch.vtensor<[],si8> -> !torch.int
    %3685 = torch.aten.quantize_per_tensor %3680, %3683, %3684, %int12_837 : !torch.vtensor<[1,64,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,20,20],!torch.qint8>
    %3686 = torch.aten.int_repr %3685 : !torch.vtensor<[1,64,20,20],!torch.qint8> -> !torch.vtensor<[1,64,20,20],si8>
    %3687 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3688 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3689 = torch.aten.item %3687 : !torch.vtensor<[],f32> -> !torch.float
    %3690 = torch.aten.item %3688 : !torch.vtensor<[],si8> -> !torch.int
    %3691 = torch.aten._make_per_tensor_quantized_tensor %3686, %3689, %3690 : !torch.vtensor<[1,64,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,20,20],!torch.qint8>
    %3692 = torch.aten.dequantize.self %3691 : !torch.vtensor<[1,64,20,20],!torch.qint8> -> !torch.vtensor<[1,64,20,20],f32>
    %3693 = torch.aten.sigmoid %3692 : !torch.vtensor<[1,64,20,20],f32> -> !torch.vtensor<[1,64,20,20],f32>
    %3694 = torch.aten.mul.Tensor %3692, %3693 : !torch.vtensor<[1,64,20,20],f32>, !torch.vtensor<[1,64,20,20],f32> -> !torch.vtensor<[1,64,20,20],f32>
    %3695 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3696 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_838 = torch.constant.int 12
    %3697 = torch.aten.item %3695 : !torch.vtensor<[],f32> -> !torch.float
    %3698 = torch.aten.item %3696 : !torch.vtensor<[],si8> -> !torch.int
    %3699 = torch.aten.quantize_per_tensor %3694, %3697, %3698, %int12_838 : !torch.vtensor<[1,64,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,20,20],!torch.qint8>
    %3700 = torch.aten.int_repr %3699 : !torch.vtensor<[1,64,20,20],!torch.qint8> -> !torch.vtensor<[1,64,20,20],si8>
    %3701 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3702 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3703 = torch.aten.item %3701 : !torch.vtensor<[],f32> -> !torch.float
    %3704 = torch.aten.item %3702 : !torch.vtensor<[],si8> -> !torch.int
    %3705 = torch.aten._make_per_tensor_quantized_tensor %3700, %3703, %3704 : !torch.vtensor<[1,64,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,20,20],!torch.qint8>
    %3706 = torch.aten.dequantize.self %3705 : !torch.vtensor<[1,64,20,20],!torch.qint8> -> !torch.vtensor<[1,64,20,20],f32>
    %3707 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3708 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_839 = torch.constant.int 12
    %3709 = torch.aten.item %3707 : !torch.vtensor<[],f32> -> !torch.float
    %3710 = torch.aten.item %3708 : !torch.vtensor<[],si8> -> !torch.int
    %3711 = torch.aten.quantize_per_tensor %116, %3709, %3710, %int12_839 : !torch.vtensor<[64,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %3712 = torch.aten.int_repr %3711 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],si8>
    %3713 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3714 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3715 = torch.aten.item %3713 : !torch.vtensor<[],f32> -> !torch.float
    %3716 = torch.aten.item %3714 : !torch.vtensor<[],si8> -> !torch.int
    %3717 = torch.aten._make_per_tensor_quantized_tensor %3712, %3715, %3716 : !torch.vtensor<[64,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,3,3],!torch.qint8>
    %3718 = torch.aten.dequantize.self %3717 : !torch.vtensor<[64,64,3,3],!torch.qint8> -> !torch.vtensor<[64,64,3,3],f32>
    %3719 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3720 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_840 = torch.constant.int 12
    %3721 = torch.aten.item %3719 : !torch.vtensor<[],f32> -> !torch.float
    %3722 = torch.aten.item %3720 : !torch.vtensor<[],si8> -> !torch.int
    %3723 = torch.aten.quantize_per_tensor %117, %3721, %3722, %int12_840 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3724 = torch.aten.int_repr %3723 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %3725 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3726 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3727 = torch.aten.item %3725 : !torch.vtensor<[],f32> -> !torch.float
    %3728 = torch.aten.item %3726 : !torch.vtensor<[],si8> -> !torch.int
    %3729 = torch.aten._make_per_tensor_quantized_tensor %3724, %3727, %3728 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3730 = torch.aten.dequantize.self %3729 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int1_841 = torch.constant.int 1
    %int1_842 = torch.constant.int 1
    %int1_843 = torch.constant.int 1
    %int1_844 = torch.constant.int 1
    %int1_845 = torch.constant.int 1
    %int1_846 = torch.constant.int 1
    %int0_847 = torch.constant.int 0
    %3731 = torch.prim.ListConstruct %int1_841, %int1_842 : (!torch.int, !torch.int) -> !torch.list<int>
    %3732 = torch.prim.ListConstruct %int1_843, %int1_844 : (!torch.int, !torch.int) -> !torch.list<int>
    %3733 = torch.prim.ListConstruct %int1_845, %int1_846 : (!torch.int, !torch.int) -> !torch.list<int>
    %3734 = torch.prim.ListConstruct %int0_847, %int0_847 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_848 = torch.constant.bool false
    %int1_849 = torch.constant.int 1
    %3735 = torch.aten.convolution %3706, %3718, %3730, %3733, %3731, %3732, %false_848, %3734, %int1_849 : !torch.vtensor<[1,64,20,20],f32>, !torch.vtensor<[64,64,3,3],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,20,20],f32>
    %3736 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3737 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_850 = torch.constant.int 12
    %3738 = torch.aten.item %3736 : !torch.vtensor<[],f32> -> !torch.float
    %3739 = torch.aten.item %3737 : !torch.vtensor<[],si8> -> !torch.int
    %3740 = torch.aten.quantize_per_tensor %3735, %3738, %3739, %int12_850 : !torch.vtensor<[1,64,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,20,20],!torch.qint8>
    %3741 = torch.aten.int_repr %3740 : !torch.vtensor<[1,64,20,20],!torch.qint8> -> !torch.vtensor<[1,64,20,20],si8>
    %3742 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3743 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3744 = torch.aten.item %3742 : !torch.vtensor<[],f32> -> !torch.float
    %3745 = torch.aten.item %3743 : !torch.vtensor<[],si8> -> !torch.int
    %3746 = torch.aten._make_per_tensor_quantized_tensor %3741, %3744, %3745 : !torch.vtensor<[1,64,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,20,20],!torch.qint8>
    %3747 = torch.aten.dequantize.self %3746 : !torch.vtensor<[1,64,20,20],!torch.qint8> -> !torch.vtensor<[1,64,20,20],f32>
    %3748 = torch.aten.sigmoid %3747 : !torch.vtensor<[1,64,20,20],f32> -> !torch.vtensor<[1,64,20,20],f32>
    %3749 = torch.aten.mul.Tensor %3747, %3748 : !torch.vtensor<[1,64,20,20],f32>, !torch.vtensor<[1,64,20,20],f32> -> !torch.vtensor<[1,64,20,20],f32>
    %3750 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3751 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_851 = torch.constant.int 12
    %3752 = torch.aten.item %3750 : !torch.vtensor<[],f32> -> !torch.float
    %3753 = torch.aten.item %3751 : !torch.vtensor<[],si8> -> !torch.int
    %3754 = torch.aten.quantize_per_tensor %3749, %3752, %3753, %int12_851 : !torch.vtensor<[1,64,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,64,20,20],!torch.qint8>
    %3755 = torch.aten.int_repr %3754 : !torch.vtensor<[1,64,20,20],!torch.qint8> -> !torch.vtensor<[1,64,20,20],si8>
    %3756 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3757 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3758 = torch.aten.item %3756 : !torch.vtensor<[],f32> -> !torch.float
    %3759 = torch.aten.item %3757 : !torch.vtensor<[],si8> -> !torch.int
    %3760 = torch.aten._make_per_tensor_quantized_tensor %3755, %3758, %3759 : !torch.vtensor<[1,64,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,64,20,20],!torch.qint8>
    %3761 = torch.aten.dequantize.self %3760 : !torch.vtensor<[1,64,20,20],!torch.qint8> -> !torch.vtensor<[1,64,20,20],f32>
    %3762 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %3763 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_852 = torch.constant.int 12
    %3764 = torch.aten.item %3762 : !torch.vtensor<[],f32> -> !torch.float
    %3765 = torch.aten.item %3763 : !torch.vtensor<[],si8> -> !torch.int
    %3766 = torch.aten.quantize_per_tensor %118, %3764, %3765, %int12_852 : !torch.vtensor<[64,64,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,1,1],!torch.qint8>
    %3767 = torch.aten.int_repr %3766 : !torch.vtensor<[64,64,1,1],!torch.qint8> -> !torch.vtensor<[64,64,1,1],si8>
    %3768 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %3769 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3770 = torch.aten.item %3768 : !torch.vtensor<[],f32> -> !torch.float
    %3771 = torch.aten.item %3769 : !torch.vtensor<[],si8> -> !torch.int
    %3772 = torch.aten._make_per_tensor_quantized_tensor %3767, %3770, %3771 : !torch.vtensor<[64,64,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,1,1],!torch.qint8>
    %3773 = torch.aten.dequantize.self %3772 : !torch.vtensor<[64,64,1,1],!torch.qint8> -> !torch.vtensor<[64,64,1,1],f32>
    %3774 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3775 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_853 = torch.constant.int 12
    %3776 = torch.aten.item %3774 : !torch.vtensor<[],f32> -> !torch.float
    %3777 = torch.aten.item %3775 : !torch.vtensor<[],si8> -> !torch.int
    %3778 = torch.aten.quantize_per_tensor %119, %3776, %3777, %int12_853 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3779 = torch.aten.int_repr %3778 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
    %3780 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3781 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3782 = torch.aten.item %3780 : !torch.vtensor<[],f32> -> !torch.float
    %3783 = torch.aten.item %3781 : !torch.vtensor<[],si8> -> !torch.int
    %3784 = torch.aten._make_per_tensor_quantized_tensor %3779, %3782, %3783 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
    %3785 = torch.aten.dequantize.self %3784 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
    %int0_854 = torch.constant.int 0
    %int0_855 = torch.constant.int 0
    %int1_856 = torch.constant.int 1
    %int1_857 = torch.constant.int 1
    %int1_858 = torch.constant.int 1
    %int1_859 = torch.constant.int 1
    %int0_860 = torch.constant.int 0
    %3786 = torch.prim.ListConstruct %int0_854, %int0_855 : (!torch.int, !torch.int) -> !torch.list<int>
    %3787 = torch.prim.ListConstruct %int1_856, %int1_857 : (!torch.int, !torch.int) -> !torch.list<int>
    %3788 = torch.prim.ListConstruct %int1_858, %int1_859 : (!torch.int, !torch.int) -> !torch.list<int>
    %3789 = torch.prim.ListConstruct %int0_860, %int0_860 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_861 = torch.constant.bool false
    %int1_862 = torch.constant.int 1
    %3790 = torch.aten.convolution %3761, %3773, %3785, %3788, %3786, %3787, %false_861, %3789, %int1_862 : !torch.vtensor<[1,64,20,20],f32>, !torch.vtensor<[64,64,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,64,20,20],f32>
    %3791 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3792 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_863 = torch.constant.int 12
    %3793 = torch.aten.item %3791 : !torch.vtensor<[],f32> -> !torch.float
    %3794 = torch.aten.item %3792 : !torch.vtensor<[],si8> -> !torch.int
    %3795 = torch.aten.quantize_per_tensor %120, %3793, %3794, %int12_863 : !torch.vtensor<[80,256,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80,256,3,3],!torch.qint8>
    %3796 = torch.aten.int_repr %3795 : !torch.vtensor<[80,256,3,3],!torch.qint8> -> !torch.vtensor<[80,256,3,3],si8>
    %3797 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3798 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3799 = torch.aten.item %3797 : !torch.vtensor<[],f32> -> !torch.float
    %3800 = torch.aten.item %3798 : !torch.vtensor<[],si8> -> !torch.int
    %3801 = torch.aten._make_per_tensor_quantized_tensor %3796, %3799, %3800 : !torch.vtensor<[80,256,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[80,256,3,3],!torch.qint8>
    %3802 = torch.aten.dequantize.self %3801 : !torch.vtensor<[80,256,3,3],!torch.qint8> -> !torch.vtensor<[80,256,3,3],f32>
    %3803 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3804 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_864 = torch.constant.int 12
    %3805 = torch.aten.item %3803 : !torch.vtensor<[],f32> -> !torch.float
    %3806 = torch.aten.item %3804 : !torch.vtensor<[],si8> -> !torch.int
    %3807 = torch.aten.quantize_per_tensor %121, %3805, %3806, %int12_864 : !torch.vtensor<[80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3808 = torch.aten.int_repr %3807 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],si8>
    %3809 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3810 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3811 = torch.aten.item %3809 : !torch.vtensor<[],f32> -> !torch.float
    %3812 = torch.aten.item %3810 : !torch.vtensor<[],si8> -> !torch.int
    %3813 = torch.aten._make_per_tensor_quantized_tensor %3808, %3811, %3812 : !torch.vtensor<[80],si8>, !torch.float, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3814 = torch.aten.dequantize.self %3813 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],f32>
    %int1_865 = torch.constant.int 1
    %int1_866 = torch.constant.int 1
    %int1_867 = torch.constant.int 1
    %int1_868 = torch.constant.int 1
    %int1_869 = torch.constant.int 1
    %int1_870 = torch.constant.int 1
    %int0_871 = torch.constant.int 0
    %3815 = torch.prim.ListConstruct %int1_865, %int1_866 : (!torch.int, !torch.int) -> !torch.list<int>
    %3816 = torch.prim.ListConstruct %int1_867, %int1_868 : (!torch.int, !torch.int) -> !torch.list<int>
    %3817 = torch.prim.ListConstruct %int1_869, %int1_870 : (!torch.int, !torch.int) -> !torch.list<int>
    %3818 = torch.prim.ListConstruct %int0_871, %int0_871 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_872 = torch.constant.bool false
    %int1_873 = torch.constant.int 1
    %3819 = torch.aten.convolution %3066, %3802, %3814, %3817, %3815, %3816, %false_872, %3818, %int1_873 : !torch.vtensor<[1,256,20,20],f32>, !torch.vtensor<[80,256,3,3],f32>, !torch.vtensor<[80],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,80,20,20],f32>
    %3820 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3821 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_874 = torch.constant.int 12
    %3822 = torch.aten.item %3820 : !torch.vtensor<[],f32> -> !torch.float
    %3823 = torch.aten.item %3821 : !torch.vtensor<[],si8> -> !torch.int
    %3824 = torch.aten.quantize_per_tensor %3819, %3822, %3823, %int12_874 : !torch.vtensor<[1,80,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,80,20,20],!torch.qint8>
    %3825 = torch.aten.int_repr %3824 : !torch.vtensor<[1,80,20,20],!torch.qint8> -> !torch.vtensor<[1,80,20,20],si8>
    %3826 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3827 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3828 = torch.aten.item %3826 : !torch.vtensor<[],f32> -> !torch.float
    %3829 = torch.aten.item %3827 : !torch.vtensor<[],si8> -> !torch.int
    %3830 = torch.aten._make_per_tensor_quantized_tensor %3825, %3828, %3829 : !torch.vtensor<[1,80,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,80,20,20],!torch.qint8>
    %3831 = torch.aten.dequantize.self %3830 : !torch.vtensor<[1,80,20,20],!torch.qint8> -> !torch.vtensor<[1,80,20,20],f32>
    %3832 = torch.aten.sigmoid %3831 : !torch.vtensor<[1,80,20,20],f32> -> !torch.vtensor<[1,80,20,20],f32>
    %3833 = torch.aten.mul.Tensor %3831, %3832 : !torch.vtensor<[1,80,20,20],f32>, !torch.vtensor<[1,80,20,20],f32> -> !torch.vtensor<[1,80,20,20],f32>
    %3834 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3835 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_875 = torch.constant.int 12
    %3836 = torch.aten.item %3834 : !torch.vtensor<[],f32> -> !torch.float
    %3837 = torch.aten.item %3835 : !torch.vtensor<[],si8> -> !torch.int
    %3838 = torch.aten.quantize_per_tensor %3833, %3836, %3837, %int12_875 : !torch.vtensor<[1,80,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,80,20,20],!torch.qint8>
    %3839 = torch.aten.int_repr %3838 : !torch.vtensor<[1,80,20,20],!torch.qint8> -> !torch.vtensor<[1,80,20,20],si8>
    %3840 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3841 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3842 = torch.aten.item %3840 : !torch.vtensor<[],f32> -> !torch.float
    %3843 = torch.aten.item %3841 : !torch.vtensor<[],si8> -> !torch.int
    %3844 = torch.aten._make_per_tensor_quantized_tensor %3839, %3842, %3843 : !torch.vtensor<[1,80,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,80,20,20],!torch.qint8>
    %3845 = torch.aten.dequantize.self %3844 : !torch.vtensor<[1,80,20,20],!torch.qint8> -> !torch.vtensor<[1,80,20,20],f32>
    %3846 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3847 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_876 = torch.constant.int 12
    %3848 = torch.aten.item %3846 : !torch.vtensor<[],f32> -> !torch.float
    %3849 = torch.aten.item %3847 : !torch.vtensor<[],si8> -> !torch.int
    %3850 = torch.aten.quantize_per_tensor %122, %3848, %3849, %int12_876 : !torch.vtensor<[80,80,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80,80,3,3],!torch.qint8>
    %3851 = torch.aten.int_repr %3850 : !torch.vtensor<[80,80,3,3],!torch.qint8> -> !torch.vtensor<[80,80,3,3],si8>
    %3852 = torch.vtensor.literal(dense<6.250000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
    %3853 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3854 = torch.aten.item %3852 : !torch.vtensor<[],f32> -> !torch.float
    %3855 = torch.aten.item %3853 : !torch.vtensor<[],si8> -> !torch.int
    %3856 = torch.aten._make_per_tensor_quantized_tensor %3851, %3854, %3855 : !torch.vtensor<[80,80,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[80,80,3,3],!torch.qint8>
    %3857 = torch.aten.dequantize.self %3856 : !torch.vtensor<[80,80,3,3],!torch.qint8> -> !torch.vtensor<[80,80,3,3],f32>
    %3858 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3859 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_877 = torch.constant.int 12
    %3860 = torch.aten.item %3858 : !torch.vtensor<[],f32> -> !torch.float
    %3861 = torch.aten.item %3859 : !torch.vtensor<[],si8> -> !torch.int
    %3862 = torch.aten.quantize_per_tensor %123, %3860, %3861, %int12_877 : !torch.vtensor<[80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3863 = torch.aten.int_repr %3862 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],si8>
    %3864 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3865 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3866 = torch.aten.item %3864 : !torch.vtensor<[],f32> -> !torch.float
    %3867 = torch.aten.item %3865 : !torch.vtensor<[],si8> -> !torch.int
    %3868 = torch.aten._make_per_tensor_quantized_tensor %3863, %3866, %3867 : !torch.vtensor<[80],si8>, !torch.float, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3869 = torch.aten.dequantize.self %3868 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],f32>
    %int1_878 = torch.constant.int 1
    %int1_879 = torch.constant.int 1
    %int1_880 = torch.constant.int 1
    %int1_881 = torch.constant.int 1
    %int1_882 = torch.constant.int 1
    %int1_883 = torch.constant.int 1
    %int0_884 = torch.constant.int 0
    %3870 = torch.prim.ListConstruct %int1_878, %int1_879 : (!torch.int, !torch.int) -> !torch.list<int>
    %3871 = torch.prim.ListConstruct %int1_880, %int1_881 : (!torch.int, !torch.int) -> !torch.list<int>
    %3872 = torch.prim.ListConstruct %int1_882, %int1_883 : (!torch.int, !torch.int) -> !torch.list<int>
    %3873 = torch.prim.ListConstruct %int0_884, %int0_884 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_885 = torch.constant.bool false
    %int1_886 = torch.constant.int 1
    %3874 = torch.aten.convolution %3845, %3857, %3869, %3872, %3870, %3871, %false_885, %3873, %int1_886 : !torch.vtensor<[1,80,20,20],f32>, !torch.vtensor<[80,80,3,3],f32>, !torch.vtensor<[80],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,80,20,20],f32>
    %3875 = torch.vtensor.literal(dense<5.000000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3876 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_887 = torch.constant.int 12
    %3877 = torch.aten.item %3875 : !torch.vtensor<[],f32> -> !torch.float
    %3878 = torch.aten.item %3876 : !torch.vtensor<[],si8> -> !torch.int
    %3879 = torch.aten.quantize_per_tensor %3874, %3877, %3878, %int12_887 : !torch.vtensor<[1,80,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,80,20,20],!torch.qint8>
    %3880 = torch.aten.int_repr %3879 : !torch.vtensor<[1,80,20,20],!torch.qint8> -> !torch.vtensor<[1,80,20,20],si8>
    %3881 = torch.vtensor.literal(dense<5.000000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3882 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3883 = torch.aten.item %3881 : !torch.vtensor<[],f32> -> !torch.float
    %3884 = torch.aten.item %3882 : !torch.vtensor<[],si8> -> !torch.int
    %3885 = torch.aten._make_per_tensor_quantized_tensor %3880, %3883, %3884 : !torch.vtensor<[1,80,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,80,20,20],!torch.qint8>
    %3886 = torch.aten.dequantize.self %3885 : !torch.vtensor<[1,80,20,20],!torch.qint8> -> !torch.vtensor<[1,80,20,20],f32>
    %3887 = torch.aten.sigmoid %3886 : !torch.vtensor<[1,80,20,20],f32> -> !torch.vtensor<[1,80,20,20],f32>
    %3888 = torch.aten.mul.Tensor %3886, %3887 : !torch.vtensor<[1,80,20,20],f32>, !torch.vtensor<[1,80,20,20],f32> -> !torch.vtensor<[1,80,20,20],f32>
    %3889 = torch.vtensor.literal(dense<5.000000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3890 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_888 = torch.constant.int 12
    %3891 = torch.aten.item %3889 : !torch.vtensor<[],f32> -> !torch.float
    %3892 = torch.aten.item %3890 : !torch.vtensor<[],si8> -> !torch.int
    %3893 = torch.aten.quantize_per_tensor %3888, %3891, %3892, %int12_888 : !torch.vtensor<[1,80,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,80,20,20],!torch.qint8>
    %3894 = torch.aten.int_repr %3893 : !torch.vtensor<[1,80,20,20],!torch.qint8> -> !torch.vtensor<[1,80,20,20],si8>
    %3895 = torch.vtensor.literal(dense<5.000000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3896 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3897 = torch.aten.item %3895 : !torch.vtensor<[],f32> -> !torch.float
    %3898 = torch.aten.item %3896 : !torch.vtensor<[],si8> -> !torch.int
    %3899 = torch.aten._make_per_tensor_quantized_tensor %3894, %3897, %3898 : !torch.vtensor<[1,80,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,80,20,20],!torch.qint8>
    %3900 = torch.aten.dequantize.self %3899 : !torch.vtensor<[1,80,20,20],!torch.qint8> -> !torch.vtensor<[1,80,20,20],f32>
    %3901 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %3902 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_889 = torch.constant.int 12
    %3903 = torch.aten.item %3901 : !torch.vtensor<[],f32> -> !torch.float
    %3904 = torch.aten.item %3902 : !torch.vtensor<[],si8> -> !torch.int
    %3905 = torch.aten.quantize_per_tensor %124, %3903, %3904, %int12_889 : !torch.vtensor<[80,80,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80,80,1,1],!torch.qint8>
    %3906 = torch.aten.int_repr %3905 : !torch.vtensor<[80,80,1,1],!torch.qint8> -> !torch.vtensor<[80,80,1,1],si8>
    %3907 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %3908 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3909 = torch.aten.item %3907 : !torch.vtensor<[],f32> -> !torch.float
    %3910 = torch.aten.item %3908 : !torch.vtensor<[],si8> -> !torch.int
    %3911 = torch.aten._make_per_tensor_quantized_tensor %3906, %3909, %3910 : !torch.vtensor<[80,80,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[80,80,1,1],!torch.qint8>
    %3912 = torch.aten.dequantize.self %3911 : !torch.vtensor<[80,80,1,1],!torch.qint8> -> !torch.vtensor<[80,80,1,1],f32>
    %3913 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3914 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_890 = torch.constant.int 12
    %3915 = torch.aten.item %3913 : !torch.vtensor<[],f32> -> !torch.float
    %3916 = torch.aten.item %3914 : !torch.vtensor<[],si8> -> !torch.int
    %3917 = torch.aten.quantize_per_tensor %125, %3915, %3916, %int12_890 : !torch.vtensor<[80],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3918 = torch.aten.int_repr %3917 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],si8>
    %3919 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3920 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3921 = torch.aten.item %3919 : !torch.vtensor<[],f32> -> !torch.float
    %3922 = torch.aten.item %3920 : !torch.vtensor<[],si8> -> !torch.int
    %3923 = torch.aten._make_per_tensor_quantized_tensor %3918, %3921, %3922 : !torch.vtensor<[80],si8>, !torch.float, !torch.int -> !torch.vtensor<[80],!torch.qint8>
    %3924 = torch.aten.dequantize.self %3923 : !torch.vtensor<[80],!torch.qint8> -> !torch.vtensor<[80],f32>
    %int0_891 = torch.constant.int 0
    %int0_892 = torch.constant.int 0
    %int1_893 = torch.constant.int 1
    %int1_894 = torch.constant.int 1
    %int1_895 = torch.constant.int 1
    %int1_896 = torch.constant.int 1
    %int0_897 = torch.constant.int 0
    %3925 = torch.prim.ListConstruct %int0_891, %int0_892 : (!torch.int, !torch.int) -> !torch.list<int>
    %3926 = torch.prim.ListConstruct %int1_893, %int1_894 : (!torch.int, !torch.int) -> !torch.list<int>
    %3927 = torch.prim.ListConstruct %int1_895, %int1_896 : (!torch.int, !torch.int) -> !torch.list<int>
    %3928 = torch.prim.ListConstruct %int0_897, %int0_897 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_898 = torch.constant.bool false
    %int1_899 = torch.constant.int 1
    %3929 = torch.aten.convolution %3900, %3912, %3924, %3927, %3925, %3926, %false_898, %3928, %int1_899 : !torch.vtensor<[1,80,20,20],f32>, !torch.vtensor<[80,80,1,1],f32>, !torch.vtensor<[80],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[1,80,20,20],f32>
    %3930 = torch.prim.ListConstruct %3790, %3929 : (!torch.vtensor<[1,64,20,20],f32>, !torch.vtensor<[1,80,20,20],f32>) -> !torch.list<vtensor>
    %int1_900 = torch.constant.int 1
    %3931 = torch.aten.cat %3930, %int1_900 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[1,144,20,20],f32>
    %3932 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3933 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_901 = torch.constant.int 12
    %3934 = torch.aten.item %3932 : !torch.vtensor<[],f32> -> !torch.float
    %3935 = torch.aten.item %3933 : !torch.vtensor<[],si8> -> !torch.int
    %3936 = torch.aten.quantize_per_tensor %3931, %3934, %3935, %int12_901 : !torch.vtensor<[1,144,20,20],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,144,20,20],!torch.qint8>
    %3937 = torch.aten.int_repr %3936 : !torch.vtensor<[1,144,20,20],!torch.qint8> -> !torch.vtensor<[1,144,20,20],si8>
    %3938 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %3939 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %3940 = torch.aten.item %3938 : !torch.vtensor<[],f32> -> !torch.float
    %3941 = torch.aten.item %3939 : !torch.vtensor<[],si8> -> !torch.int
    %3942 = torch.aten._make_per_tensor_quantized_tensor %3937, %3940, %3941 : !torch.vtensor<[1,144,20,20],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,144,20,20],!torch.qint8>
    %3943 = torch.aten.dequantize.self %3942 : !torch.vtensor<[1,144,20,20],!torch.qint8> -> !torch.vtensor<[1,144,20,20],f32>
    %3944 = torch.vtensor.literal(dense<144> : tensor<si64>) : !torch.vtensor<[],si64>
    %3945 = torch.vtensor.literal(dense<-1> : tensor<si64>) : !torch.vtensor<[],si64>
    %3946 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_902 = torch.constant.int 0
    %int0_903 = torch.constant.int 0
    %int0_904 = torch.constant.int 0
    %3947 = torch.aten.select.int %3946, %int0_902, %int0_904 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3948 = torch.aten.item %3947 : !torch.vtensor<[1],si64> -> !torch.int
    %3949 = torch.aten.lt.int %3948, %int0_902 : !torch.int, !torch.int -> !torch.bool
    %3950 = torch.aten.Int.bool %3949 : !torch.bool -> !torch.int
    %3951 = torch.aten.mul.int %3950, %int0_903 : !torch.int, !torch.int -> !torch.int
    %3952 = torch.aten.add.int %3948, %3951 : !torch.int, !torch.int -> !torch.int
    %3953 = torch.prim.ListConstruct %3952 : (!torch.int) -> !torch.list<int>
    %false_905 = torch.constant.bool false
    %none_906 = torch.constant.none
    %3954 = torch.aten.tensor %3953, %none_906, %none_906, %false_905 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values, %indices = torch.aten.sort %3954, %int0_902, %false_905 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_907 = torch.constant.int 0
    %3955 = torch.aten.select.int %values, %int0_902, %int0_907 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3956 = torch.aten.item %3955 : !torch.vtensor<[1],si64> -> !torch.int
    %3957 = torch.aten.unsqueeze %3067, %3956 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %3958 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_908 = torch.constant.int 0
    %int0_909 = torch.constant.int 0
    %int0_910 = torch.constant.int 0
    %3959 = torch.aten.select.int %3958, %int0_908, %int0_910 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3960 = torch.aten.item %3959 : !torch.vtensor<[1],si64> -> !torch.int
    %3961 = torch.aten.lt.int %3960, %int0_908 : !torch.int, !torch.int -> !torch.bool
    %3962 = torch.aten.Int.bool %3961 : !torch.bool -> !torch.int
    %3963 = torch.aten.mul.int %3962, %int0_909 : !torch.int, !torch.int -> !torch.int
    %3964 = torch.aten.add.int %3960, %3963 : !torch.int, !torch.int -> !torch.int
    %3965 = torch.prim.ListConstruct %3964 : (!torch.int) -> !torch.list<int>
    %false_911 = torch.constant.bool false
    %none_912 = torch.constant.none
    %3966 = torch.aten.tensor %3965, %none_912, %none_912, %false_911 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_913, %indices_914 = torch.aten.sort %3966, %int0_908, %false_911 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_915 = torch.constant.int 0
    %3967 = torch.aten.select.int %values_913, %int0_908, %int0_915 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3968 = torch.aten.item %3967 : !torch.vtensor<[1],si64> -> !torch.int
    %3969 = torch.aten.unsqueeze %3944, %3968 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %3970 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_916 = torch.constant.int 0
    %int0_917 = torch.constant.int 0
    %int0_918 = torch.constant.int 0
    %3971 = torch.aten.select.int %3970, %int0_916, %int0_918 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3972 = torch.aten.item %3971 : !torch.vtensor<[1],si64> -> !torch.int
    %3973 = torch.aten.lt.int %3972, %int0_916 : !torch.int, !torch.int -> !torch.bool
    %3974 = torch.aten.Int.bool %3973 : !torch.bool -> !torch.int
    %3975 = torch.aten.mul.int %3974, %int0_917 : !torch.int, !torch.int -> !torch.int
    %3976 = torch.aten.add.int %3972, %3975 : !torch.int, !torch.int -> !torch.int
    %3977 = torch.prim.ListConstruct %3976 : (!torch.int) -> !torch.list<int>
    %false_919 = torch.constant.bool false
    %none_920 = torch.constant.none
    %3978 = torch.aten.tensor %3977, %none_920, %none_920, %false_919 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_921, %indices_922 = torch.aten.sort %3978, %int0_916, %false_919 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_923 = torch.constant.int 0
    %3979 = torch.aten.select.int %values_921, %int0_916, %int0_923 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3980 = torch.aten.item %3979 : !torch.vtensor<[1],si64> -> !torch.int
    %3981 = torch.aten.unsqueeze %3945, %3980 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %3982 = torch.prim.ListConstruct %3957, %3969, %3981 : (!torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>) -> !torch.list<vtensor>
    %int0_924 = torch.constant.int 0
    %3983 = torch.aten.cat %3982, %int0_924 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[3],si64>
    %3984 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_925 = torch.constant.int 0
    %int0_926 = torch.constant.int 0
    %int0_927 = torch.constant.int 0
    %3985 = torch.aten.select.int %3984, %int0_925, %int0_927 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3986 = torch.aten.item %3985 : !torch.vtensor<[1],si64> -> !torch.int
    %3987 = torch.aten.lt.int %3986, %int0_925 : !torch.int, !torch.int -> !torch.bool
    %3988 = torch.aten.Int.bool %3987 : !torch.bool -> !torch.int
    %3989 = torch.aten.mul.int %3988, %int0_926 : !torch.int, !torch.int -> !torch.int
    %3990 = torch.aten.add.int %3986, %3989 : !torch.int, !torch.int -> !torch.int
    %3991 = torch.prim.ListConstruct %3990 : (!torch.int) -> !torch.list<int>
    %false_928 = torch.constant.bool false
    %none_929 = torch.constant.none
    %3992 = torch.aten.tensor %3991, %none_929, %none_929, %false_928 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_930, %indices_931 = torch.aten.sort %3992, %int0_925, %false_928 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_932 = torch.constant.int 0
    %3993 = torch.aten.select.int %values_930, %int0_925, %int0_932 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3994 = torch.aten.item %3993 : !torch.vtensor<[1],si64> -> !torch.int
    %3995 = torch.aten.unsqueeze %3067, %3994 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %3996 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_933 = torch.constant.int 0
    %int0_934 = torch.constant.int 0
    %int0_935 = torch.constant.int 0
    %3997 = torch.aten.select.int %3996, %int0_933, %int0_935 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %3998 = torch.aten.item %3997 : !torch.vtensor<[1],si64> -> !torch.int
    %3999 = torch.aten.lt.int %3998, %int0_933 : !torch.int, !torch.int -> !torch.bool
    %4000 = torch.aten.Int.bool %3999 : !torch.bool -> !torch.int
    %4001 = torch.aten.mul.int %4000, %int0_934 : !torch.int, !torch.int -> !torch.int
    %4002 = torch.aten.add.int %3998, %4001 : !torch.int, !torch.int -> !torch.int
    %4003 = torch.prim.ListConstruct %4002 : (!torch.int) -> !torch.list<int>
    %false_936 = torch.constant.bool false
    %none_937 = torch.constant.none
    %4004 = torch.aten.tensor %4003, %none_937, %none_937, %false_936 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_938, %indices_939 = torch.aten.sort %4004, %int0_933, %false_936 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_940 = torch.constant.int 0
    %4005 = torch.aten.select.int %values_938, %int0_933, %int0_940 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4006 = torch.aten.item %4005 : !torch.vtensor<[1],si64> -> !torch.int
    %4007 = torch.aten.unsqueeze %3944, %4006 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %4008 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_941 = torch.constant.int 0
    %int0_942 = torch.constant.int 0
    %int0_943 = torch.constant.int 0
    %4009 = torch.aten.select.int %4008, %int0_941, %int0_943 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4010 = torch.aten.item %4009 : !torch.vtensor<[1],si64> -> !torch.int
    %4011 = torch.aten.lt.int %4010, %int0_941 : !torch.int, !torch.int -> !torch.bool
    %4012 = torch.aten.Int.bool %4011 : !torch.bool -> !torch.int
    %4013 = torch.aten.mul.int %4012, %int0_942 : !torch.int, !torch.int -> !torch.int
    %4014 = torch.aten.add.int %4010, %4013 : !torch.int, !torch.int -> !torch.int
    %4015 = torch.prim.ListConstruct %4014 : (!torch.int) -> !torch.list<int>
    %false_944 = torch.constant.bool false
    %none_945 = torch.constant.none
    %4016 = torch.aten.tensor %4015, %none_945, %none_945, %false_944 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_946, %indices_947 = torch.aten.sort %4016, %int0_941, %false_944 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_948 = torch.constant.int 0
    %4017 = torch.aten.select.int %values_946, %int0_941, %int0_948 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4018 = torch.aten.item %4017 : !torch.vtensor<[1],si64> -> !torch.int
    %4019 = torch.aten.unsqueeze %3945, %4018 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %4020 = torch.prim.ListConstruct %3995, %4007, %4019 : (!torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>) -> !torch.list<vtensor>
    %int0_949 = torch.constant.int 0
    %4021 = torch.aten.cat %4020, %int0_949 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[3],si64>
    %4022 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_950 = torch.constant.int 0
    %int0_951 = torch.constant.int 0
    %int0_952 = torch.constant.int 0
    %4023 = torch.aten.select.int %4022, %int0_950, %int0_952 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4024 = torch.aten.item %4023 : !torch.vtensor<[1],si64> -> !torch.int
    %4025 = torch.aten.lt.int %4024, %int0_950 : !torch.int, !torch.int -> !torch.bool
    %4026 = torch.aten.Int.bool %4025 : !torch.bool -> !torch.int
    %4027 = torch.aten.mul.int %4026, %int0_951 : !torch.int, !torch.int -> !torch.int
    %4028 = torch.aten.add.int %4024, %4027 : !torch.int, !torch.int -> !torch.int
    %4029 = torch.prim.ListConstruct %4028 : (!torch.int) -> !torch.list<int>
    %false_953 = torch.constant.bool false
    %none_954 = torch.constant.none
    %4030 = torch.aten.tensor %4029, %none_954, %none_954, %false_953 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_955, %indices_956 = torch.aten.sort %4030, %int0_950, %false_953 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_957 = torch.constant.int 0
    %4031 = torch.aten.select.int %values_955, %int0_950, %int0_957 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4032 = torch.aten.item %4031 : !torch.vtensor<[1],si64> -> !torch.int
    %4033 = torch.aten.unsqueeze %3067, %4032 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %4034 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_958 = torch.constant.int 0
    %int0_959 = torch.constant.int 0
    %int0_960 = torch.constant.int 0
    %4035 = torch.aten.select.int %4034, %int0_958, %int0_960 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4036 = torch.aten.item %4035 : !torch.vtensor<[1],si64> -> !torch.int
    %4037 = torch.aten.lt.int %4036, %int0_958 : !torch.int, !torch.int -> !torch.bool
    %4038 = torch.aten.Int.bool %4037 : !torch.bool -> !torch.int
    %4039 = torch.aten.mul.int %4038, %int0_959 : !torch.int, !torch.int -> !torch.int
    %4040 = torch.aten.add.int %4036, %4039 : !torch.int, !torch.int -> !torch.int
    %4041 = torch.prim.ListConstruct %4040 : (!torch.int) -> !torch.list<int>
    %false_961 = torch.constant.bool false
    %none_962 = torch.constant.none
    %4042 = torch.aten.tensor %4041, %none_962, %none_962, %false_961 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_963, %indices_964 = torch.aten.sort %4042, %int0_958, %false_961 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_965 = torch.constant.int 0
    %4043 = torch.aten.select.int %values_963, %int0_958, %int0_965 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4044 = torch.aten.item %4043 : !torch.vtensor<[1],si64> -> !torch.int
    %4045 = torch.aten.unsqueeze %3944, %4044 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %4046 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_966 = torch.constant.int 0
    %int0_967 = torch.constant.int 0
    %int0_968 = torch.constant.int 0
    %4047 = torch.aten.select.int %4046, %int0_966, %int0_968 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4048 = torch.aten.item %4047 : !torch.vtensor<[1],si64> -> !torch.int
    %4049 = torch.aten.lt.int %4048, %int0_966 : !torch.int, !torch.int -> !torch.bool
    %4050 = torch.aten.Int.bool %4049 : !torch.bool -> !torch.int
    %4051 = torch.aten.mul.int %4050, %int0_967 : !torch.int, !torch.int -> !torch.int
    %4052 = torch.aten.add.int %4048, %4051 : !torch.int, !torch.int -> !torch.int
    %4053 = torch.prim.ListConstruct %4052 : (!torch.int) -> !torch.list<int>
    %false_969 = torch.constant.bool false
    %none_970 = torch.constant.none
    %4054 = torch.aten.tensor %4053, %none_970, %none_970, %false_969 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_971, %indices_972 = torch.aten.sort %4054, %int0_966, %false_969 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_973 = torch.constant.int 0
    %4055 = torch.aten.select.int %values_971, %int0_966, %int0_973 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4056 = torch.aten.item %4055 : !torch.vtensor<[1],si64> -> !torch.int
    %4057 = torch.aten.unsqueeze %3945, %4056 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %4058 = torch.prim.ListConstruct %4033, %4045, %4057 : (!torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>) -> !torch.list<vtensor>
    %int0_974 = torch.constant.int 0
    %4059 = torch.aten.cat %4058, %int0_974 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[3],si64>
    %int0_975 = torch.constant.int 0
    %int0_976 = torch.constant.int 0
    %4060 = torch.aten.select.int %3983, %int0_975, %int0_976 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4061 = torch.aten.item %4060 : !torch.vtensor<[1],si64> -> !torch.int
    %4062 = torch.aten.eq.int %4061, %int0_975 : !torch.int, !torch.int -> !torch.bool
    %4063 = torch.aten.Int.bool %4062 : !torch.bool -> !torch.int
    %int0_977 = torch.constant.int 0
    %4064 = torch.aten.size.int %3359, %int0_977 : !torch.vtensor<[1,144,80,80],f32>, !torch.int -> !torch.int
    %4065 = torch.prim.NumToTensor.Scalar %4063 : !torch.int -> !torch.vtensor<[],i1>
    %4066 = torch.prim.NumToTensor.Scalar %4064 : !torch.int -> !torch.vtensor<[],si64>
    %4067 = torch.prim.NumToTensor.Scalar %4061 : !torch.int -> !torch.vtensor<[],si64>
    %4068 = torch.aten.where.self %4065, %4066, %4067 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %4069 = torch.aten.item %4068 : !torch.vtensor<[],si64> -> !torch.int
    %int1_978 = torch.constant.int 1
    %4070 = torch.aten.select.int %3983, %int0_975, %int1_978 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4071 = torch.aten.item %4070 : !torch.vtensor<[1],si64> -> !torch.int
    %4072 = torch.aten.eq.int %4071, %int0_975 : !torch.int, !torch.int -> !torch.bool
    %4073 = torch.aten.Int.bool %4072 : !torch.bool -> !torch.int
    %int1_979 = torch.constant.int 1
    %4074 = torch.aten.size.int %3359, %int1_979 : !torch.vtensor<[1,144,80,80],f32>, !torch.int -> !torch.int
    %4075 = torch.prim.NumToTensor.Scalar %4073 : !torch.int -> !torch.vtensor<[],i1>
    %4076 = torch.prim.NumToTensor.Scalar %4074 : !torch.int -> !torch.vtensor<[],si64>
    %4077 = torch.prim.NumToTensor.Scalar %4071 : !torch.int -> !torch.vtensor<[],si64>
    %4078 = torch.aten.where.self %4075, %4076, %4077 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %4079 = torch.aten.item %4078 : !torch.vtensor<[],si64> -> !torch.int
    %int2_980 = torch.constant.int 2
    %4080 = torch.aten.select.int %3983, %int0_975, %int2_980 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4081 = torch.aten.item %4080 : !torch.vtensor<[1],si64> -> !torch.int
    %4082 = torch.aten.eq.int %4081, %int0_975 : !torch.int, !torch.int -> !torch.bool
    %4083 = torch.aten.Int.bool %4082 : !torch.bool -> !torch.int
    %int2_981 = torch.constant.int 2
    %4084 = torch.aten.size.int %3359, %int2_981 : !torch.vtensor<[1,144,80,80],f32>, !torch.int -> !torch.int
    %4085 = torch.prim.NumToTensor.Scalar %4083 : !torch.int -> !torch.vtensor<[],i1>
    %4086 = torch.prim.NumToTensor.Scalar %4084 : !torch.int -> !torch.vtensor<[],si64>
    %4087 = torch.prim.NumToTensor.Scalar %4081 : !torch.int -> !torch.vtensor<[],si64>
    %4088 = torch.aten.where.self %4085, %4086, %4087 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %4089 = torch.aten.item %4088 : !torch.vtensor<[],si64> -> !torch.int
    %4090 = torch.prim.ListConstruct %4069, %4079, %4089 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %4091 = torch.aten.reshape %3359, %4090 : !torch.vtensor<[1,144,80,80],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?],f32>
    %int0_982 = torch.constant.int 0
    %int0_983 = torch.constant.int 0
    %4092 = torch.aten.select.int %4021, %int0_982, %int0_983 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4093 = torch.aten.item %4092 : !torch.vtensor<[1],si64> -> !torch.int
    %4094 = torch.aten.eq.int %4093, %int0_982 : !torch.int, !torch.int -> !torch.bool
    %4095 = torch.aten.Int.bool %4094 : !torch.bool -> !torch.int
    %int0_984 = torch.constant.int 0
    %4096 = torch.aten.size.int %3651, %int0_984 : !torch.vtensor<[1,144,40,40],f32>, !torch.int -> !torch.int
    %4097 = torch.prim.NumToTensor.Scalar %4095 : !torch.int -> !torch.vtensor<[],i1>
    %4098 = torch.prim.NumToTensor.Scalar %4096 : !torch.int -> !torch.vtensor<[],si64>
    %4099 = torch.prim.NumToTensor.Scalar %4093 : !torch.int -> !torch.vtensor<[],si64>
    %4100 = torch.aten.where.self %4097, %4098, %4099 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %4101 = torch.aten.item %4100 : !torch.vtensor<[],si64> -> !torch.int
    %int1_985 = torch.constant.int 1
    %4102 = torch.aten.select.int %4021, %int0_982, %int1_985 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4103 = torch.aten.item %4102 : !torch.vtensor<[1],si64> -> !torch.int
    %4104 = torch.aten.eq.int %4103, %int0_982 : !torch.int, !torch.int -> !torch.bool
    %4105 = torch.aten.Int.bool %4104 : !torch.bool -> !torch.int
    %int1_986 = torch.constant.int 1
    %4106 = torch.aten.size.int %3651, %int1_986 : !torch.vtensor<[1,144,40,40],f32>, !torch.int -> !torch.int
    %4107 = torch.prim.NumToTensor.Scalar %4105 : !torch.int -> !torch.vtensor<[],i1>
    %4108 = torch.prim.NumToTensor.Scalar %4106 : !torch.int -> !torch.vtensor<[],si64>
    %4109 = torch.prim.NumToTensor.Scalar %4103 : !torch.int -> !torch.vtensor<[],si64>
    %4110 = torch.aten.where.self %4107, %4108, %4109 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %4111 = torch.aten.item %4110 : !torch.vtensor<[],si64> -> !torch.int
    %int2_987 = torch.constant.int 2
    %4112 = torch.aten.select.int %4021, %int0_982, %int2_987 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4113 = torch.aten.item %4112 : !torch.vtensor<[1],si64> -> !torch.int
    %4114 = torch.aten.eq.int %4113, %int0_982 : !torch.int, !torch.int -> !torch.bool
    %4115 = torch.aten.Int.bool %4114 : !torch.bool -> !torch.int
    %int2_988 = torch.constant.int 2
    %4116 = torch.aten.size.int %3651, %int2_988 : !torch.vtensor<[1,144,40,40],f32>, !torch.int -> !torch.int
    %4117 = torch.prim.NumToTensor.Scalar %4115 : !torch.int -> !torch.vtensor<[],i1>
    %4118 = torch.prim.NumToTensor.Scalar %4116 : !torch.int -> !torch.vtensor<[],si64>
    %4119 = torch.prim.NumToTensor.Scalar %4113 : !torch.int -> !torch.vtensor<[],si64>
    %4120 = torch.aten.where.self %4117, %4118, %4119 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %4121 = torch.aten.item %4120 : !torch.vtensor<[],si64> -> !torch.int
    %4122 = torch.prim.ListConstruct %4101, %4111, %4121 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %4123 = torch.aten.reshape %3651, %4122 : !torch.vtensor<[1,144,40,40],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?],f32>
    %int0_989 = torch.constant.int 0
    %int0_990 = torch.constant.int 0
    %4124 = torch.aten.select.int %4059, %int0_989, %int0_990 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4125 = torch.aten.item %4124 : !torch.vtensor<[1],si64> -> !torch.int
    %4126 = torch.aten.eq.int %4125, %int0_989 : !torch.int, !torch.int -> !torch.bool
    %4127 = torch.aten.Int.bool %4126 : !torch.bool -> !torch.int
    %int0_991 = torch.constant.int 0
    %4128 = torch.aten.size.int %3943, %int0_991 : !torch.vtensor<[1,144,20,20],f32>, !torch.int -> !torch.int
    %4129 = torch.prim.NumToTensor.Scalar %4127 : !torch.int -> !torch.vtensor<[],i1>
    %4130 = torch.prim.NumToTensor.Scalar %4128 : !torch.int -> !torch.vtensor<[],si64>
    %4131 = torch.prim.NumToTensor.Scalar %4125 : !torch.int -> !torch.vtensor<[],si64>
    %4132 = torch.aten.where.self %4129, %4130, %4131 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %4133 = torch.aten.item %4132 : !torch.vtensor<[],si64> -> !torch.int
    %int1_992 = torch.constant.int 1
    %4134 = torch.aten.select.int %4059, %int0_989, %int1_992 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4135 = torch.aten.item %4134 : !torch.vtensor<[1],si64> -> !torch.int
    %4136 = torch.aten.eq.int %4135, %int0_989 : !torch.int, !torch.int -> !torch.bool
    %4137 = torch.aten.Int.bool %4136 : !torch.bool -> !torch.int
    %int1_993 = torch.constant.int 1
    %4138 = torch.aten.size.int %3943, %int1_993 : !torch.vtensor<[1,144,20,20],f32>, !torch.int -> !torch.int
    %4139 = torch.prim.NumToTensor.Scalar %4137 : !torch.int -> !torch.vtensor<[],i1>
    %4140 = torch.prim.NumToTensor.Scalar %4138 : !torch.int -> !torch.vtensor<[],si64>
    %4141 = torch.prim.NumToTensor.Scalar %4135 : !torch.int -> !torch.vtensor<[],si64>
    %4142 = torch.aten.where.self %4139, %4140, %4141 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %4143 = torch.aten.item %4142 : !torch.vtensor<[],si64> -> !torch.int
    %int2_994 = torch.constant.int 2
    %4144 = torch.aten.select.int %4059, %int0_989, %int2_994 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4145 = torch.aten.item %4144 : !torch.vtensor<[1],si64> -> !torch.int
    %4146 = torch.aten.eq.int %4145, %int0_989 : !torch.int, !torch.int -> !torch.bool
    %4147 = torch.aten.Int.bool %4146 : !torch.bool -> !torch.int
    %int2_995 = torch.constant.int 2
    %4148 = torch.aten.size.int %3943, %int2_995 : !torch.vtensor<[1,144,20,20],f32>, !torch.int -> !torch.int
    %4149 = torch.prim.NumToTensor.Scalar %4147 : !torch.int -> !torch.vtensor<[],i1>
    %4150 = torch.prim.NumToTensor.Scalar %4148 : !torch.int -> !torch.vtensor<[],si64>
    %4151 = torch.prim.NumToTensor.Scalar %4145 : !torch.int -> !torch.vtensor<[],si64>
    %4152 = torch.aten.where.self %4149, %4150, %4151 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %4153 = torch.aten.item %4152 : !torch.vtensor<[],si64> -> !torch.int
    %4154 = torch.prim.ListConstruct %4133, %4143, %4153 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %4155 = torch.aten.reshape %3943, %4154 : !torch.vtensor<[1,144,20,20],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?],f32>
    %4156 = torch.prim.ListConstruct %4091, %4123, %4155 : (!torch.vtensor<[?,?,?],f32>, !torch.vtensor<[?,?,?],f32>, !torch.vtensor<[?,?,?],f32>) -> !torch.list<vtensor>
    %int2_996 = torch.constant.int 2
    %4157 = torch.aten.cat %4156, %int2_996 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[?,?,?],f32>
    %4158 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %4159 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_997 = torch.constant.int 12
    %4160 = torch.aten.item %4158 : !torch.vtensor<[],f32> -> !torch.float
    %4161 = torch.aten.item %4159 : !torch.vtensor<[],si8> -> !torch.int
    %4162 = torch.aten.quantize_per_tensor %4157, %4160, %4161, %int12_997 : !torch.vtensor<[?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,?,?],!torch.qint8>
    %4163 = torch.aten.int_repr %4162 : !torch.vtensor<[?,?,?],!torch.qint8> -> !torch.vtensor<[?,?,?],si8>
    %4164 = torch.vtensor.literal(dense<2.500000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %4165 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %4166 = torch.aten.item %4164 : !torch.vtensor<[],f32> -> !torch.float
    %4167 = torch.aten.item %4165 : !torch.vtensor<[],si8> -> !torch.int
    %4168 = torch.aten._make_per_tensor_quantized_tensor %4163, %4166, %4167 : !torch.vtensor<[?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,?,?],!torch.qint8>
    %4169 = torch.aten.dequantize.self %4168 : !torch.vtensor<[?,?,?],!torch.qint8> -> !torch.vtensor<[?,?,?],f32>
    %4170 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %4171 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %4172 = torch.vtensor.literal(dense<64> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %4173 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_998 = torch.constant.int 0
    %int0_999 = torch.constant.int 0
    %4174 = torch.prim.NumToTensor.Scalar %int0_999 : !torch.int -> !torch.vtensor<[1],si64>
    %4175 = torch.aten.index_select %4171, %int0_998, %4174 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %4176 = torch.aten.item %4175 : !torch.vtensor<[1],si64> -> !torch.int
    %4177 = torch.aten.index_select %4172, %int0_998, %4174 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %4178 = torch.aten.item %4177 : !torch.vtensor<[1],si64> -> !torch.int
    %4179 = torch.aten.index_select %4170, %int0_998, %4174 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %4180 = torch.aten.item %4179 : !torch.vtensor<[1],si64> -> !torch.int
    %4181 = torch.aten.index_select %4173, %int0_998, %4174 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %4182 = torch.aten.item %4181 : !torch.vtensor<[1],si64> -> !torch.int
    %4183 = torch.aten.slice.Tensor %4169, %4180, %4176, %4178, %4182 : !torch.vtensor<[?,?,?],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[?,?,?],f32>
    %4184 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %4185 = torch.vtensor.literal(dense<64> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %4186 = torch.vtensor.literal(dense<144> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %4187 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_1000 = torch.constant.int 0
    %int0_1001 = torch.constant.int 0
    %4188 = torch.prim.NumToTensor.Scalar %int0_1001 : !torch.int -> !torch.vtensor<[1],si64>
    %4189 = torch.aten.index_select %4185, %int0_1000, %4188 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %4190 = torch.aten.item %4189 : !torch.vtensor<[1],si64> -> !torch.int
    %4191 = torch.aten.index_select %4186, %int0_1000, %4188 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %4192 = torch.aten.item %4191 : !torch.vtensor<[1],si64> -> !torch.int
    %4193 = torch.aten.index_select %4184, %int0_1000, %4188 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %4194 = torch.aten.item %4193 : !torch.vtensor<[1],si64> -> !torch.int
    %4195 = torch.aten.index_select %4187, %int0_1000, %4188 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %4196 = torch.aten.item %4195 : !torch.vtensor<[1],si64> -> !torch.int
    %4197 = torch.aten.slice.Tensor %4169, %4194, %4190, %4192, %4196 : !torch.vtensor<[?,?,?],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[?,?,?],f32>
    %4198 = torch.vtensor.literal(dense<1> : tensor<si64>) : !torch.vtensor<[],si64>
    %4199 = torch.vtensor.literal(dense<8400> : tensor<si64>) : !torch.vtensor<[],si64>
    %4200 = torch.vtensor.literal(dense<4> : tensor<si64>) : !torch.vtensor<[],si64>
    %4201 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_1002 = torch.constant.int 0
    %int0_1003 = torch.constant.int 0
    %int0_1004 = torch.constant.int 0
    %4202 = torch.aten.select.int %4201, %int0_1002, %int0_1004 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4203 = torch.aten.item %4202 : !torch.vtensor<[1],si64> -> !torch.int
    %4204 = torch.aten.lt.int %4203, %int0_1002 : !torch.int, !torch.int -> !torch.bool
    %4205 = torch.aten.Int.bool %4204 : !torch.bool -> !torch.int
    %4206 = torch.aten.mul.int %4205, %int0_1003 : !torch.int, !torch.int -> !torch.int
    %4207 = torch.aten.add.int %4203, %4206 : !torch.int, !torch.int -> !torch.int
    %4208 = torch.prim.ListConstruct %4207 : (!torch.int) -> !torch.list<int>
    %false_1005 = torch.constant.bool false
    %none_1006 = torch.constant.none
    %4209 = torch.aten.tensor %4208, %none_1006, %none_1006, %false_1005 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_1007, %indices_1008 = torch.aten.sort %4209, %int0_1002, %false_1005 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_1009 = torch.constant.int 0
    %4210 = torch.aten.select.int %values_1007, %int0_1002, %int0_1009 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4211 = torch.aten.item %4210 : !torch.vtensor<[1],si64> -> !torch.int
    %4212 = torch.aten.unsqueeze %4198, %4211 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %4213 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_1010 = torch.constant.int 0
    %int0_1011 = torch.constant.int 0
    %int0_1012 = torch.constant.int 0
    %4214 = torch.aten.select.int %4213, %int0_1010, %int0_1012 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4215 = torch.aten.item %4214 : !torch.vtensor<[1],si64> -> !torch.int
    %4216 = torch.aten.lt.int %4215, %int0_1010 : !torch.int, !torch.int -> !torch.bool
    %4217 = torch.aten.Int.bool %4216 : !torch.bool -> !torch.int
    %4218 = torch.aten.mul.int %4217, %int0_1011 : !torch.int, !torch.int -> !torch.int
    %4219 = torch.aten.add.int %4215, %4218 : !torch.int, !torch.int -> !torch.int
    %4220 = torch.prim.ListConstruct %4219 : (!torch.int) -> !torch.list<int>
    %false_1013 = torch.constant.bool false
    %none_1014 = torch.constant.none
    %4221 = torch.aten.tensor %4220, %none_1014, %none_1014, %false_1013 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_1015, %indices_1016 = torch.aten.sort %4221, %int0_1010, %false_1013 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_1017 = torch.constant.int 0
    %4222 = torch.aten.select.int %values_1015, %int0_1010, %int0_1017 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4223 = torch.aten.item %4222 : !torch.vtensor<[1],si64> -> !torch.int
    %4224 = torch.aten.unsqueeze %4200, %4223 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %4225 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_1018 = torch.constant.int 0
    %int0_1019 = torch.constant.int 0
    %int0_1020 = torch.constant.int 0
    %4226 = torch.aten.select.int %4225, %int0_1018, %int0_1020 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4227 = torch.aten.item %4226 : !torch.vtensor<[1],si64> -> !torch.int
    %4228 = torch.aten.lt.int %4227, %int0_1018 : !torch.int, !torch.int -> !torch.bool
    %4229 = torch.aten.Int.bool %4228 : !torch.bool -> !torch.int
    %4230 = torch.aten.mul.int %4229, %int0_1019 : !torch.int, !torch.int -> !torch.int
    %4231 = torch.aten.add.int %4227, %4230 : !torch.int, !torch.int -> !torch.int
    %4232 = torch.prim.ListConstruct %4231 : (!torch.int) -> !torch.list<int>
    %false_1021 = torch.constant.bool false
    %none_1022 = torch.constant.none
    %4233 = torch.aten.tensor %4232, %none_1022, %none_1022, %false_1021 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_1023, %indices_1024 = torch.aten.sort %4233, %int0_1018, %false_1021 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_1025 = torch.constant.int 0
    %4234 = torch.aten.select.int %values_1023, %int0_1018, %int0_1025 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4235 = torch.aten.item %4234 : !torch.vtensor<[1],si64> -> !torch.int
    %4236 = torch.aten.unsqueeze %343, %4235 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %4237 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_1026 = torch.constant.int 0
    %int0_1027 = torch.constant.int 0
    %int0_1028 = torch.constant.int 0
    %4238 = torch.aten.select.int %4237, %int0_1026, %int0_1028 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4239 = torch.aten.item %4238 : !torch.vtensor<[1],si64> -> !torch.int
    %4240 = torch.aten.lt.int %4239, %int0_1026 : !torch.int, !torch.int -> !torch.bool
    %4241 = torch.aten.Int.bool %4240 : !torch.bool -> !torch.int
    %4242 = torch.aten.mul.int %4241, %int0_1027 : !torch.int, !torch.int -> !torch.int
    %4243 = torch.aten.add.int %4239, %4242 : !torch.int, !torch.int -> !torch.int
    %4244 = torch.prim.ListConstruct %4243 : (!torch.int) -> !torch.list<int>
    %false_1029 = torch.constant.bool false
    %none_1030 = torch.constant.none
    %4245 = torch.aten.tensor %4244, %none_1030, %none_1030, %false_1029 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_1031, %indices_1032 = torch.aten.sort %4245, %int0_1026, %false_1029 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_1033 = torch.constant.int 0
    %4246 = torch.aten.select.int %values_1031, %int0_1026, %int0_1033 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4247 = torch.aten.item %4246 : !torch.vtensor<[1],si64> -> !torch.int
    %4248 = torch.aten.unsqueeze %4199, %4247 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %4249 = torch.prim.ListConstruct %4212, %4224, %4236, %4248 : (!torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>) -> !torch.list<vtensor>
    %int0_1034 = torch.constant.int 0
    %4250 = torch.aten.cat %4249, %int0_1034 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[4],si64>
    %int0_1035 = torch.constant.int 0
    %int0_1036 = torch.constant.int 0
    %4251 = torch.aten.select.int %4250, %int0_1035, %int0_1036 : !torch.vtensor<[4],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4252 = torch.aten.item %4251 : !torch.vtensor<[1],si64> -> !torch.int
    %4253 = torch.aten.eq.int %4252, %int0_1035 : !torch.int, !torch.int -> !torch.bool
    %4254 = torch.aten.Int.bool %4253 : !torch.bool -> !torch.int
    %int0_1037 = torch.constant.int 0
    %4255 = torch.aten.size.int %4183, %int0_1037 : !torch.vtensor<[?,?,?],f32>, !torch.int -> !torch.int
    %4256 = torch.prim.NumToTensor.Scalar %4254 : !torch.int -> !torch.vtensor<[],i1>
    %4257 = torch.prim.NumToTensor.Scalar %4255 : !torch.int -> !torch.vtensor<[],si64>
    %4258 = torch.prim.NumToTensor.Scalar %4252 : !torch.int -> !torch.vtensor<[],si64>
    %4259 = torch.aten.where.self %4256, %4257, %4258 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %4260 = torch.aten.item %4259 : !torch.vtensor<[],si64> -> !torch.int
    %int1_1038 = torch.constant.int 1
    %4261 = torch.aten.select.int %4250, %int0_1035, %int1_1038 : !torch.vtensor<[4],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4262 = torch.aten.item %4261 : !torch.vtensor<[1],si64> -> !torch.int
    %4263 = torch.aten.eq.int %4262, %int0_1035 : !torch.int, !torch.int -> !torch.bool
    %4264 = torch.aten.Int.bool %4263 : !torch.bool -> !torch.int
    %int1_1039 = torch.constant.int 1
    %4265 = torch.aten.size.int %4183, %int1_1039 : !torch.vtensor<[?,?,?],f32>, !torch.int -> !torch.int
    %4266 = torch.prim.NumToTensor.Scalar %4264 : !torch.int -> !torch.vtensor<[],i1>
    %4267 = torch.prim.NumToTensor.Scalar %4265 : !torch.int -> !torch.vtensor<[],si64>
    %4268 = torch.prim.NumToTensor.Scalar %4262 : !torch.int -> !torch.vtensor<[],si64>
    %4269 = torch.aten.where.self %4266, %4267, %4268 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %4270 = torch.aten.item %4269 : !torch.vtensor<[],si64> -> !torch.int
    %int2_1040 = torch.constant.int 2
    %4271 = torch.aten.select.int %4250, %int0_1035, %int2_1040 : !torch.vtensor<[4],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4272 = torch.aten.item %4271 : !torch.vtensor<[1],si64> -> !torch.int
    %4273 = torch.aten.eq.int %4272, %int0_1035 : !torch.int, !torch.int -> !torch.bool
    %4274 = torch.aten.Int.bool %4273 : !torch.bool -> !torch.int
    %int2_1041 = torch.constant.int 2
    %4275 = torch.aten.size.int %4183, %int2_1041 : !torch.vtensor<[?,?,?],f32>, !torch.int -> !torch.int
    %4276 = torch.prim.NumToTensor.Scalar %4274 : !torch.int -> !torch.vtensor<[],i1>
    %4277 = torch.prim.NumToTensor.Scalar %4275 : !torch.int -> !torch.vtensor<[],si64>
    %4278 = torch.prim.NumToTensor.Scalar %4272 : !torch.int -> !torch.vtensor<[],si64>
    %4279 = torch.aten.where.self %4276, %4277, %4278 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %4280 = torch.aten.item %4279 : !torch.vtensor<[],si64> -> !torch.int
    %int3 = torch.constant.int 3
    %4281 = torch.aten.select.int %4250, %int0_1035, %int3 : !torch.vtensor<[4],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4282 = torch.aten.item %4281 : !torch.vtensor<[1],si64> -> !torch.int
    %4283 = torch.aten.eq.int %4282, %int0_1035 : !torch.int, !torch.int -> !torch.bool
    %4284 = torch.aten.Int.bool %4283 : !torch.bool -> !torch.int
    %4285 = torch.prim.ListConstruct %4260, %4270, %4280, %4282 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %4286 = torch.aten.reshape %4183, %4285 : !torch.vtensor<[?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?,?],f32>
    %int1_1042 = torch.constant.int 1
    %int2_1043 = torch.constant.int 2
    %4287 = torch.aten.transpose.int %4286, %int1_1042, %int2_1043 : !torch.vtensor<[?,?,?,?],f32>, !torch.int, !torch.int -> !torch.vtensor<[?,?,?,?],f32>
    %4288 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %4289 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1044 = torch.constant.int 12
    %4290 = torch.aten.item %4288 : !torch.vtensor<[],f32> -> !torch.float
    %4291 = torch.aten.item %4289 : !torch.vtensor<[],si8> -> !torch.int
    %4292 = torch.aten.quantize_per_tensor %4287, %4290, %4291, %int12_1044 : !torch.vtensor<[?,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,?,?,?],!torch.qint8>
    %4293 = torch.aten.int_repr %4292 : !torch.vtensor<[?,?,?,?],!torch.qint8> -> !torch.vtensor<[?,?,?,?],si8>
    %4294 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %4295 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %4296 = torch.aten.item %4294 : !torch.vtensor<[],f32> -> !torch.float
    %4297 = torch.aten.item %4295 : !torch.vtensor<[],si8> -> !torch.int
    %4298 = torch.aten._make_per_tensor_quantized_tensor %4293, %4296, %4297 : !torch.vtensor<[?,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,?,?,?],!torch.qint8>
    %4299 = torch.aten.dequantize.self %4298 : !torch.vtensor<[?,?,?,?],!torch.qint8> -> !torch.vtensor<[?,?,?,?],f32>
    %int1_1045 = torch.constant.int 1
    %none_1046 = torch.constant.none
    %4300 = torch.aten.softmax.int %4299, %int1_1045, %none_1046 : !torch.vtensor<[?,?,?,?],f32>, !torch.int, !torch.none -> !torch.vtensor<[?,?,?,?],f32>
    %4301 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %4302 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1047 = torch.constant.int 12
    %4303 = torch.aten.item %4301 : !torch.vtensor<[],f32> -> !torch.float
    %4304 = torch.aten.item %4302 : !torch.vtensor<[],si8> -> !torch.int
    %4305 = torch.aten.quantize_per_tensor %4300, %4303, %4304, %int12_1047 : !torch.vtensor<[?,?,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,?,?,?],!torch.qint8>
    %4306 = torch.aten.int_repr %4305 : !torch.vtensor<[?,?,?,?],!torch.qint8> -> !torch.vtensor<[?,?,?,?],si8>
    %4307 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
    %4308 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %4309 = torch.aten.item %4307 : !torch.vtensor<[],f32> -> !torch.float
    %4310 = torch.aten.item %4308 : !torch.vtensor<[],si8> -> !torch.int
    %4311 = torch.aten._make_per_tensor_quantized_tensor %4306, %4309, %4310 : !torch.vtensor<[?,?,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,?,?,?],!torch.qint8>
    %4312 = torch.aten.dequantize.self %4311 : !torch.vtensor<[?,?,?,?],!torch.qint8> -> !torch.vtensor<[?,?,?,?],f32>
    %4313 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %4314 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1048 = torch.constant.int 12
    %4315 = torch.aten.item %4313 : !torch.vtensor<[],f32> -> !torch.float
    %4316 = torch.aten.item %4314 : !torch.vtensor<[],si8> -> !torch.int
    %4317 = torch.aten.quantize_per_tensor %126, %4315, %4316, %int12_1048 : !torch.vtensor<[1,16,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1,16,1,1],!torch.qint8>
    %4318 = torch.aten.int_repr %4317 : !torch.vtensor<[1,16,1,1],!torch.qint8> -> !torch.vtensor<[1,16,1,1],si8>
    %4319 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %4320 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %4321 = torch.aten.item %4319 : !torch.vtensor<[],f32> -> !torch.float
    %4322 = torch.aten.item %4320 : !torch.vtensor<[],si8> -> !torch.int
    %4323 = torch.aten._make_per_tensor_quantized_tensor %4318, %4321, %4322 : !torch.vtensor<[1,16,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,16,1,1],!torch.qint8>
    %4324 = torch.aten.dequantize.self %4323 : !torch.vtensor<[1,16,1,1],!torch.qint8> -> !torch.vtensor<[1,16,1,1],f32>
    %int0_1049 = torch.constant.int 0
    %int0_1050 = torch.constant.int 0
    %int1_1051 = torch.constant.int 1
    %int1_1052 = torch.constant.int 1
    %int1_1053 = torch.constant.int 1
    %int1_1054 = torch.constant.int 1
    %int0_1055 = torch.constant.int 0
    %4325 = torch.prim.ListConstruct %int0_1049, %int0_1050 : (!torch.int, !torch.int) -> !torch.list<int>
    %4326 = torch.prim.ListConstruct %int1_1051, %int1_1052 : (!torch.int, !torch.int) -> !torch.list<int>
    %4327 = torch.prim.ListConstruct %int1_1053, %int1_1054 : (!torch.int, !torch.int) -> !torch.list<int>
    %4328 = torch.prim.ListConstruct %int0_1055, %int0_1055 : (!torch.int, !torch.int) -> !torch.list<int>
    %false_1056 = torch.constant.bool false
    %none_1057 = torch.constant.none
    %int1_1058 = torch.constant.int 1
    %4329 = torch.aten.convolution %4312, %4324, %none_1057, %4327, %4325, %4326, %false_1056, %4328, %int1_1058 : !torch.vtensor<[?,?,?,?],f32>, !torch.vtensor<[1,16,1,1],f32>, !torch.none, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[?,1,?,?],f32>
    %4330 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %4331 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1059 = torch.constant.int 12
    %4332 = torch.aten.item %4330 : !torch.vtensor<[],f32> -> !torch.float
    %4333 = torch.aten.item %4331 : !torch.vtensor<[],si8> -> !torch.int
    %4334 = torch.aten.quantize_per_tensor %4329, %4332, %4333, %int12_1059 : !torch.vtensor<[?,1,?,?],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,1,?,?],!torch.qint8>
    %4335 = torch.aten.int_repr %4334 : !torch.vtensor<[?,1,?,?],!torch.qint8> -> !torch.vtensor<[?,1,?,?],si8>
    %4336 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
    %4337 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %4338 = torch.aten.item %4336 : !torch.vtensor<[],f32> -> !torch.float
    %4339 = torch.aten.item %4337 : !torch.vtensor<[],si8> -> !torch.int
    %4340 = torch.aten._make_per_tensor_quantized_tensor %4335, %4338, %4339 : !torch.vtensor<[?,1,?,?],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,1,?,?],!torch.qint8>
    %4341 = torch.aten.dequantize.self %4340 : !torch.vtensor<[?,1,?,?],!torch.qint8> -> !torch.vtensor<[?,1,?,?],f32>
    %4342 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_1060 = torch.constant.int 0
    %int0_1061 = torch.constant.int 0
    %int0_1062 = torch.constant.int 0
    %4343 = torch.aten.select.int %4342, %int0_1060, %int0_1062 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4344 = torch.aten.item %4343 : !torch.vtensor<[1],si64> -> !torch.int
    %4345 = torch.aten.lt.int %4344, %int0_1060 : !torch.int, !torch.int -> !torch.bool
    %4346 = torch.aten.Int.bool %4345 : !torch.bool -> !torch.int
    %4347 = torch.aten.mul.int %4346, %int0_1061 : !torch.int, !torch.int -> !torch.int
    %4348 = torch.aten.add.int %4344, %4347 : !torch.int, !torch.int -> !torch.int
    %4349 = torch.prim.ListConstruct %4348 : (!torch.int) -> !torch.list<int>
    %false_1063 = torch.constant.bool false
    %none_1064 = torch.constant.none
    %4350 = torch.aten.tensor %4349, %none_1064, %none_1064, %false_1063 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_1065, %indices_1066 = torch.aten.sort %4350, %int0_1060, %false_1063 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_1067 = torch.constant.int 0
    %4351 = torch.aten.select.int %values_1065, %int0_1060, %int0_1067 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4352 = torch.aten.item %4351 : !torch.vtensor<[1],si64> -> !torch.int
    %4353 = torch.aten.unsqueeze %4198, %4352 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %4354 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_1068 = torch.constant.int 0
    %int0_1069 = torch.constant.int 0
    %int0_1070 = torch.constant.int 0
    %4355 = torch.aten.select.int %4354, %int0_1068, %int0_1070 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4356 = torch.aten.item %4355 : !torch.vtensor<[1],si64> -> !torch.int
    %4357 = torch.aten.lt.int %4356, %int0_1068 : !torch.int, !torch.int -> !torch.bool
    %4358 = torch.aten.Int.bool %4357 : !torch.bool -> !torch.int
    %4359 = torch.aten.mul.int %4358, %int0_1069 : !torch.int, !torch.int -> !torch.int
    %4360 = torch.aten.add.int %4356, %4359 : !torch.int, !torch.int -> !torch.int
    %4361 = torch.prim.ListConstruct %4360 : (!torch.int) -> !torch.list<int>
    %false_1071 = torch.constant.bool false
    %none_1072 = torch.constant.none
    %4362 = torch.aten.tensor %4361, %none_1072, %none_1072, %false_1071 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_1073, %indices_1074 = torch.aten.sort %4362, %int0_1068, %false_1071 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_1075 = torch.constant.int 0
    %4363 = torch.aten.select.int %values_1073, %int0_1068, %int0_1075 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4364 = torch.aten.item %4363 : !torch.vtensor<[1],si64> -> !torch.int
    %4365 = torch.aten.unsqueeze %4200, %4364 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %4366 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_1076 = torch.constant.int 0
    %int0_1077 = torch.constant.int 0
    %int0_1078 = torch.constant.int 0
    %4367 = torch.aten.select.int %4366, %int0_1076, %int0_1078 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4368 = torch.aten.item %4367 : !torch.vtensor<[1],si64> -> !torch.int
    %4369 = torch.aten.lt.int %4368, %int0_1076 : !torch.int, !torch.int -> !torch.bool
    %4370 = torch.aten.Int.bool %4369 : !torch.bool -> !torch.int
    %4371 = torch.aten.mul.int %4370, %int0_1077 : !torch.int, !torch.int -> !torch.int
    %4372 = torch.aten.add.int %4368, %4371 : !torch.int, !torch.int -> !torch.int
    %4373 = torch.prim.ListConstruct %4372 : (!torch.int) -> !torch.list<int>
    %false_1079 = torch.constant.bool false
    %none_1080 = torch.constant.none
    %4374 = torch.aten.tensor %4373, %none_1080, %none_1080, %false_1079 : !torch.list<int>, !torch.none, !torch.none, !torch.bool -> !torch.vtensor<[1],si64>
    %values_1081, %indices_1082 = torch.aten.sort %4374, %int0_1076, %false_1079 : !torch.vtensor<[1],si64>, !torch.int, !torch.bool -> !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>
    %int0_1083 = torch.constant.int 0
    %4375 = torch.aten.select.int %values_1081, %int0_1076, %int0_1083 : !torch.vtensor<[1],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4376 = torch.aten.item %4375 : !torch.vtensor<[1],si64> -> !torch.int
    %4377 = torch.aten.unsqueeze %4199, %4376 : !torch.vtensor<[],si64>, !torch.int -> !torch.vtensor<[1],si64>
    %4378 = torch.prim.ListConstruct %4353, %4365, %4377 : (!torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>, !torch.vtensor<[1],si64>) -> !torch.list<vtensor>
    %int0_1084 = torch.constant.int 0
    %4379 = torch.aten.cat %4378, %int0_1084 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[3],si64>
    %int0_1085 = torch.constant.int 0
    %int0_1086 = torch.constant.int 0
    %4380 = torch.aten.select.int %4379, %int0_1085, %int0_1086 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4381 = torch.aten.item %4380 : !torch.vtensor<[1],si64> -> !torch.int
    %4382 = torch.aten.eq.int %4381, %int0_1085 : !torch.int, !torch.int -> !torch.bool
    %4383 = torch.aten.Int.bool %4382 : !torch.bool -> !torch.int
    %int0_1087 = torch.constant.int 0
    %4384 = torch.aten.size.int %4341, %int0_1087 : !torch.vtensor<[?,1,?,?],f32>, !torch.int -> !torch.int
    %4385 = torch.prim.NumToTensor.Scalar %4383 : !torch.int -> !torch.vtensor<[],i1>
    %4386 = torch.prim.NumToTensor.Scalar %4384 : !torch.int -> !torch.vtensor<[],si64>
    %4387 = torch.prim.NumToTensor.Scalar %4381 : !torch.int -> !torch.vtensor<[],si64>
    %4388 = torch.aten.where.self %4385, %4386, %4387 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %4389 = torch.aten.item %4388 : !torch.vtensor<[],si64> -> !torch.int
    %int1_1088 = torch.constant.int 1
    %4390 = torch.aten.select.int %4379, %int0_1085, %int1_1088 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4391 = torch.aten.item %4390 : !torch.vtensor<[1],si64> -> !torch.int
    %4392 = torch.aten.eq.int %4391, %int0_1085 : !torch.int, !torch.int -> !torch.bool
    %4393 = torch.aten.Int.bool %4392 : !torch.bool -> !torch.int
    %int1_1089 = torch.constant.int 1
    %4394 = torch.aten.size.int %4341, %int1_1089 : !torch.vtensor<[?,1,?,?],f32>, !torch.int -> !torch.int
    %4395 = torch.prim.NumToTensor.Scalar %4393 : !torch.int -> !torch.vtensor<[],i1>
    %4396 = torch.prim.NumToTensor.Scalar %4394 : !torch.int -> !torch.vtensor<[],si64>
    %4397 = torch.prim.NumToTensor.Scalar %4391 : !torch.int -> !torch.vtensor<[],si64>
    %4398 = torch.aten.where.self %4395, %4396, %4397 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %4399 = torch.aten.item %4398 : !torch.vtensor<[],si64> -> !torch.int
    %int2_1090 = torch.constant.int 2
    %4400 = torch.aten.select.int %4379, %int0_1085, %int2_1090 : !torch.vtensor<[3],si64>, !torch.int, !torch.int -> !torch.vtensor<[1],si64>
    %4401 = torch.aten.item %4400 : !torch.vtensor<[1],si64> -> !torch.int
    %4402 = torch.aten.eq.int %4401, %int0_1085 : !torch.int, !torch.int -> !torch.bool
    %4403 = torch.aten.Int.bool %4402 : !torch.bool -> !torch.int
    %int2_1091 = torch.constant.int 2
    %4404 = torch.aten.size.int %4341, %int2_1091 : !torch.vtensor<[?,1,?,?],f32>, !torch.int -> !torch.int
    %4405 = torch.prim.NumToTensor.Scalar %4403 : !torch.int -> !torch.vtensor<[],i1>
    %4406 = torch.prim.NumToTensor.Scalar %4404 : !torch.int -> !torch.vtensor<[],si64>
    %4407 = torch.prim.NumToTensor.Scalar %4401 : !torch.int -> !torch.vtensor<[],si64>
    %4408 = torch.aten.where.self %4405, %4406, %4407 : !torch.vtensor<[],i1>, !torch.vtensor<[],si64>, !torch.vtensor<[],si64> -> !torch.vtensor<[],si64>
    %4409 = torch.aten.item %4408 : !torch.vtensor<[],si64> -> !torch.int
    %4410 = torch.prim.ListConstruct %4389, %4399, %4409 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %4411 = torch.aten.reshape %4341, %4410 : !torch.vtensor<[?,1,?,?],f32>, !torch.list<int> -> !torch.vtensor<[?,?,?],f32>
    %4412 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %4413 = torch.vtensor.literal(dense<0> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %4414 = torch.vtensor.literal(dense<2> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %4415 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_1092 = torch.constant.int 0
    %int0_1093 = torch.constant.int 0
    %4416 = torch.prim.NumToTensor.Scalar %int0_1093 : !torch.int -> !torch.vtensor<[1],si64>
    %4417 = torch.aten.index_select %4413, %int0_1092, %4416 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %4418 = torch.aten.item %4417 : !torch.vtensor<[1],si64> -> !torch.int
    %4419 = torch.aten.index_select %4414, %int0_1092, %4416 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %4420 = torch.aten.item %4419 : !torch.vtensor<[1],si64> -> !torch.int
    %4421 = torch.aten.index_select %4412, %int0_1092, %4416 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %4422 = torch.aten.item %4421 : !torch.vtensor<[1],si64> -> !torch.int
    %4423 = torch.aten.index_select %4415, %int0_1092, %4416 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %4424 = torch.aten.item %4423 : !torch.vtensor<[1],si64> -> !torch.int
    %4425 = torch.aten.slice.Tensor %4411, %4422, %4418, %4420, %4424 : !torch.vtensor<[?,?,?],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[?,?,?],f32>
    %4426 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %4427 = torch.vtensor.literal(dense<2> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %4428 = torch.vtensor.literal(dense<4> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %4429 = torch.vtensor.literal(dense<1> : tensor<1xsi64>) : !torch.vtensor<[1],si64>
    %int0_1094 = torch.constant.int 0
    %int0_1095 = torch.constant.int 0
    %4430 = torch.prim.NumToTensor.Scalar %int0_1095 : !torch.int -> !torch.vtensor<[1],si64>
    %4431 = torch.aten.index_select %4427, %int0_1094, %4430 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %4432 = torch.aten.item %4431 : !torch.vtensor<[1],si64> -> !torch.int
    %4433 = torch.aten.index_select %4428, %int0_1094, %4430 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %4434 = torch.aten.item %4433 : !torch.vtensor<[1],si64> -> !torch.int
    %4435 = torch.aten.index_select %4426, %int0_1094, %4430 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %4436 = torch.aten.item %4435 : !torch.vtensor<[1],si64> -> !torch.int
    %4437 = torch.aten.index_select %4429, %int0_1094, %4430 : !torch.vtensor<[1],si64>, !torch.int, !torch.vtensor<[1],si64> -> !torch.vtensor<[1],si64>
    %4438 = torch.aten.item %4437 : !torch.vtensor<[1],si64> -> !torch.int
    %4439 = torch.aten.slice.Tensor %4411, %4436, %4432, %4434, %4438 : !torch.vtensor<[?,?,?],f32>, !torch.int, !torch.int, !torch.int, !torch.int -> !torch.vtensor<[?,?,?],f32>
    %4440 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %4441 = torch.aten.mul.Tensor %4425, %4440 : !torch.vtensor<[?,?,?],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[?,?,?],f32>
    %int1_1096 = torch.constant.int 1
    %4442 = torch.aten.sub.Tensor %152, %4441, %int1_1096 : !torch.vtensor<[1,2,8400],f32>, !torch.vtensor<[?,?,?],f32>, !torch.int -> !torch.vtensor<[?,2,8400],f32>
    %4443 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %4444 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1097 = torch.constant.int 12
    %4445 = torch.aten.item %4443 : !torch.vtensor<[],f32> -> !torch.float
    %4446 = torch.aten.item %4444 : !torch.vtensor<[],si8> -> !torch.int
    %4447 = torch.aten.quantize_per_tensor %4442, %4445, %4446, %int12_1097 : !torch.vtensor<[?,2,8400],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,2,8400],!torch.qint8>
    %4448 = torch.aten.int_repr %4447 : !torch.vtensor<[?,2,8400],!torch.qint8> -> !torch.vtensor<[?,2,8400],si8>
    %4449 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %4450 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %4451 = torch.aten.item %4449 : !torch.vtensor<[],f32> -> !torch.float
    %4452 = torch.aten.item %4450 : !torch.vtensor<[],si8> -> !torch.int
    %4453 = torch.aten._make_per_tensor_quantized_tensor %4448, %4451, %4452 : !torch.vtensor<[?,2,8400],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,2,8400],!torch.qint8>
    %4454 = torch.aten.dequantize.self %4453 : !torch.vtensor<[?,2,8400],!torch.qint8> -> !torch.vtensor<[?,2,8400],f32>
    %int1_1098 = torch.constant.int 1
    %4455 = torch.aten.add.Tensor %152, %4439, %int1_1098 : !torch.vtensor<[1,2,8400],f32>, !torch.vtensor<[?,?,?],f32>, !torch.int -> !torch.vtensor<[?,2,8400],f32>
    %4456 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %4457 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1099 = torch.constant.int 12
    %4458 = torch.aten.item %4456 : !torch.vtensor<[],f32> -> !torch.float
    %4459 = torch.aten.item %4457 : !torch.vtensor<[],si8> -> !torch.int
    %4460 = torch.aten.quantize_per_tensor %4455, %4458, %4459, %int12_1099 : !torch.vtensor<[?,2,8400],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,2,8400],!torch.qint8>
    %4461 = torch.aten.int_repr %4460 : !torch.vtensor<[?,2,8400],!torch.qint8> -> !torch.vtensor<[?,2,8400],si8>
    %4462 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %4463 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %4464 = torch.aten.item %4462 : !torch.vtensor<[],f32> -> !torch.float
    %4465 = torch.aten.item %4463 : !torch.vtensor<[],si8> -> !torch.int
    %4466 = torch.aten._make_per_tensor_quantized_tensor %4461, %4464, %4465 : !torch.vtensor<[?,2,8400],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,2,8400],!torch.qint8>
    %4467 = torch.aten.dequantize.self %4466 : !torch.vtensor<[?,2,8400],!torch.qint8> -> !torch.vtensor<[?,2,8400],f32>
    %int1_1100 = torch.constant.int 1
    %4468 = torch.aten.add.Tensor %4454, %4467, %int1_1100 : !torch.vtensor<[?,2,8400],f32>, !torch.vtensor<[?,2,8400],f32>, !torch.int -> !torch.vtensor<[?,2,8400],f32>
    %4469 = torch.vtensor.literal(dense<2.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %4470 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1101 = torch.constant.int 12
    %4471 = torch.aten.item %4469 : !torch.vtensor<[],f32> -> !torch.float
    %4472 = torch.aten.item %4470 : !torch.vtensor<[],si8> -> !torch.int
    %4473 = torch.aten.quantize_per_tensor %4468, %4471, %4472, %int12_1101 : !torch.vtensor<[?,2,8400],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,2,8400],!torch.qint8>
    %4474 = torch.aten.int_repr %4473 : !torch.vtensor<[?,2,8400],!torch.qint8> -> !torch.vtensor<[?,2,8400],si8>
    %4475 = torch.vtensor.literal(dense<2.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %4476 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %4477 = torch.aten.item %4475 : !torch.vtensor<[],f32> -> !torch.float
    %4478 = torch.aten.item %4476 : !torch.vtensor<[],si8> -> !torch.int
    %4479 = torch.aten._make_per_tensor_quantized_tensor %4474, %4477, %4478 : !torch.vtensor<[?,2,8400],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,2,8400],!torch.qint8>
    %4480 = torch.aten.dequantize.self %4479 : !torch.vtensor<[?,2,8400],!torch.qint8> -> !torch.vtensor<[?,2,8400],f32>
    %4481 = torch.aten.div.Tensor %4480, %139 : !torch.vtensor<[?,2,8400],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[?,2,8400],f32>
    %4482 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %4483 = torch.aten.mul.Tensor %4454, %4482 : !torch.vtensor<[?,2,8400],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[?,2,8400],f32>
    %int1_1102 = torch.constant.int 1
    %4484 = torch.aten.sub.Tensor %4467, %4483, %int1_1102 : !torch.vtensor<[?,2,8400],f32>, !torch.vtensor<[?,2,8400],f32>, !torch.int -> !torch.vtensor<[?,2,8400],f32>
    %4485 = torch.prim.ListConstruct %4481, %4484 : (!torch.vtensor<[?,2,8400],f32>, !torch.vtensor<[?,2,8400],f32>) -> !torch.list<vtensor>
    %int1_1103 = torch.constant.int 1
    %4486 = torch.aten.cat %4485, %int1_1103 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[?,4,8400],f32>
    %4487 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %4488 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1104 = torch.constant.int 12
    %4489 = torch.aten.item %4487 : !torch.vtensor<[],f32> -> !torch.float
    %4490 = torch.aten.item %4488 : !torch.vtensor<[],si8> -> !torch.int
    %4491 = torch.aten.quantize_per_tensor %4486, %4489, %4490, %int12_1104 : !torch.vtensor<[?,4,8400],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,4,8400],!torch.qint8>
    %4492 = torch.aten.int_repr %4491 : !torch.vtensor<[?,4,8400],!torch.qint8> -> !torch.vtensor<[?,4,8400],si8>
    %4493 = torch.vtensor.literal(dense<1.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %4494 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %4495 = torch.aten.item %4493 : !torch.vtensor<[],f32> -> !torch.float
    %4496 = torch.aten.item %4494 : !torch.vtensor<[],si8> -> !torch.int
    %4497 = torch.aten._make_per_tensor_quantized_tensor %4492, %4495, %4496 : !torch.vtensor<[?,4,8400],si8>, !torch.float, !torch.int -> !torch.vtensor<[?,4,8400],!torch.qint8>
    %4498 = torch.aten.dequantize.self %4497 : !torch.vtensor<[?,4,8400],!torch.qint8> -> !torch.vtensor<[?,4,8400],f32>
    %4499 = torch.aten.mul.Tensor %4498, %165 : !torch.vtensor<[?,4,8400],f32>, !torch.vtensor<[1,8400],f32> -> !torch.vtensor<[?,4,8400],f32>
    %4500 = torch.aten.sigmoid %4197 : !torch.vtensor<[?,?,?],f32> -> !torch.vtensor<[?,?,?],f32>
    %4501 = torch.prim.ListConstruct %4499, %4500 : (!torch.vtensor<[?,4,8400],f32>, !torch.vtensor<[?,?,?],f32>) -> !torch.list<vtensor>
    %int1_1105 = torch.constant.int 1
    %4502 = torch.aten.cat %4501, %int1_1105 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[?,?,8400],f32>
    %4503 = torch.vtensor.literal(dense<8.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %4504 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %int12_1106 = torch.constant.int 12
    %4505 = torch.aten.item %4503 : !torch.vtensor<[],f32> -> !torch.float
    %4506 = torch.aten.item %4504 : !torch.vtensor<[],si8> -> !torch.int
    %4507 = torch.aten.quantize_per_tensor %4502, %4505, %4506, %int12_1106 : !torch.vtensor<[?,?,8400],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[?,?,8400],!torch.qint8>
    %4508 = torch.aten.int_repr %4507 : !torch.vtensor<[?,?,8400],!torch.qint8> -> !torch.vtensor<[?,?,8400],si8>
    %4509 = torch.vtensor.literal(dense<8.000000e+00> : tensor<f32>) : !torch.vtensor<[],f32>
    %4510 = torch.vtensor.literal(dense<0> : tensor<si8>) : !torch.vtensor<[],si8>
    %4511 = torch.aten.item %4509 : !torch.vtensor<[],f32> -> !torch.float
    %4512 = torch.aten.item %4510 : !torch.vtensor<[],si8> -> !torch.int
    %4513 = torch.aten._make_per_tensor_quantized_tensor %4508, %4511, %4512 : !torch.vtensor<[?,?,8400],si8>, !torch.float, !torch.int -> !torch.vtensor<[1,84,8400],!torch.qint8>
    %4514 = torch.aten.dequantize.self %4513 : !torch.vtensor<[1,84,8400],!torch.qint8> -> !torch.vtensor<[1,84,8400],f32>
    return %4514, %3359, %3651, %3943 : !torch.vtensor<[1,84,8400],f32>, !torch.vtensor<[1,144,80,80],f32>, !torch.vtensor<[1,144,40,40],f32>, !torch.vtensor<[1,144,20,20],f32>
  }
}