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AmosLewis/Inception_v4_vaiq_int8.default.onnx.torch.elide.mlir

Created April 19, 2024 22:31
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Inception_v4_vaiq_int8.default.onnx.torch.elide.mlir
module {
func.func @torch_jit(%arg0: !torch.vtensor<[32,3,224,224],f32>) -> !torch.vtensor<[32,1000],f32> attributes {torch.onnx_meta.ir_version = 8 : si64, torch.onnx_meta.opset_version = 15 : si64, torch.onnx_meta.producer_name = "pytorch", torch.onnx_meta.producer_version = "1.12.1"} {
%0 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x3x3x3xf32>) : !torch.vtensor<[32,3,3,3],f32>
%1 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
%2 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32x32x3x3xf32>) : !torch.vtensor<[32,32,3,3],f32>
%3 = torch.vtensor.literal(dense_resource<__elided__> : tensor<32xf32>) : !torch.vtensor<[32],f32>
%4 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x32x3x3xf32>) : !torch.vtensor<[64,32,3,3],f32>
%5 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
%6 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x64x3x3xf32>) : !torch.vtensor<[96,64,3,3],f32>
%7 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%8 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x160x1x1xf32>) : !torch.vtensor<[64,160,1,1],f32>
%9 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
%10 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x64x3x3xf32>) : !torch.vtensor<[96,64,3,3],f32>
%11 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%12 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x160x1x1xf32>) : !torch.vtensor<[64,160,1,1],f32>
%13 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
%14 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x1x7xf32>) : !torch.vtensor<[64,64,1,7],f32>
%15 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
%16 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x64x7x1xf32>) : !torch.vtensor<[64,64,7,1],f32>
%17 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
%18 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x64x3x3xf32>) : !torch.vtensor<[96,64,3,3],f32>
%19 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%20 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x192x3x3xf32>) : !torch.vtensor<[192,192,3,3],f32>
%21 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%22 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x384x1x1xf32>) : !torch.vtensor<[96,384,1,1],f32>
%23 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%24 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x384x1x1xf32>) : !torch.vtensor<[64,384,1,1],f32>
%25 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
%26 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x64x3x3xf32>) : !torch.vtensor<[96,64,3,3],f32>
%27 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%28 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x384x1x1xf32>) : !torch.vtensor<[64,384,1,1],f32>
%29 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
%30 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x64x3x3xf32>) : !torch.vtensor<[96,64,3,3],f32>
%31 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%32 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x96x3x3xf32>) : !torch.vtensor<[96,96,3,3],f32>
%33 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%34 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x384x1x1xf32>) : !torch.vtensor<[96,384,1,1],f32>
%35 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%36 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x384x1x1xf32>) : !torch.vtensor<[96,384,1,1],f32>
%37 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%38 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x384x1x1xf32>) : !torch.vtensor<[64,384,1,1],f32>
%39 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
%40 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x64x3x3xf32>) : !torch.vtensor<[96,64,3,3],f32>
%41 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%42 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x384x1x1xf32>) : !torch.vtensor<[64,384,1,1],f32>
%43 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
%44 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x64x3x3xf32>) : !torch.vtensor<[96,64,3,3],f32>
%45 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%46 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x96x3x3xf32>) : !torch.vtensor<[96,96,3,3],f32>
%47 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%48 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x384x1x1xf32>) : !torch.vtensor<[96,384,1,1],f32>
%49 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%50 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x384x1x1xf32>) : !torch.vtensor<[96,384,1,1],f32>
%51 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%52 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x384x1x1xf32>) : !torch.vtensor<[64,384,1,1],f32>
%53 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
%54 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x64x3x3xf32>) : !torch.vtensor<[96,64,3,3],f32>
%55 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%56 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x384x1x1xf32>) : !torch.vtensor<[64,384,1,1],f32>
%57 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
%58 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x64x3x3xf32>) : !torch.vtensor<[96,64,3,3],f32>
%59 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%60 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x96x3x3xf32>) : !torch.vtensor<[96,96,3,3],f32>
%61 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%62 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x384x1x1xf32>) : !torch.vtensor<[96,384,1,1],f32>
%63 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%64 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x384x1x1xf32>) : !torch.vtensor<[96,384,1,1],f32>
%65 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%66 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x384x1x1xf32>) : !torch.vtensor<[64,384,1,1],f32>
%67 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
%68 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x64x3x3xf32>) : !torch.vtensor<[96,64,3,3],f32>
%69 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%70 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64x384x1x1xf32>) : !torch.vtensor<[64,384,1,1],f32>
%71 = torch.vtensor.literal(dense_resource<__elided__> : tensor<64xf32>) : !torch.vtensor<[64],f32>
%72 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x64x3x3xf32>) : !torch.vtensor<[96,64,3,3],f32>
%73 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%74 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x96x3x3xf32>) : !torch.vtensor<[96,96,3,3],f32>
%75 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%76 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96x384x1x1xf32>) : !torch.vtensor<[96,384,1,1],f32>
%77 = torch.vtensor.literal(dense_resource<__elided__> : tensor<96xf32>) : !torch.vtensor<[96],f32>
%78 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384x384x3x3xf32>) : !torch.vtensor<[384,384,3,3],f32>
%79 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384xf32>) : !torch.vtensor<[384],f32>
%80 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x384x1x1xf32>) : !torch.vtensor<[192,384,1,1],f32>
%81 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%82 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x192x3x3xf32>) : !torch.vtensor<[224,192,3,3],f32>
%83 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%84 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x224x3x3xf32>) : !torch.vtensor<[256,224,3,3],f32>
%85 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%86 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384x1024x1x1xf32>) : !torch.vtensor<[384,1024,1,1],f32>
%87 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384xf32>) : !torch.vtensor<[384],f32>
%88 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x1024x1x1xf32>) : !torch.vtensor<[192,1024,1,1],f32>
%89 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%90 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x192x1x7xf32>) : !torch.vtensor<[224,192,1,7],f32>
%91 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%92 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x224x7x1xf32>) : !torch.vtensor<[256,224,7,1],f32>
%93 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%94 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x1024x1x1xf32>) : !torch.vtensor<[192,1024,1,1],f32>
%95 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%96 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x192x7x1xf32>) : !torch.vtensor<[192,192,7,1],f32>
%97 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%98 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x192x1x7xf32>) : !torch.vtensor<[224,192,1,7],f32>
%99 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%100 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x224x7x1xf32>) : !torch.vtensor<[224,224,7,1],f32>
%101 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%102 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x224x1x7xf32>) : !torch.vtensor<[256,224,1,7],f32>
%103 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%104 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x1024x1x1xf32>) : !torch.vtensor<[128,1024,1,1],f32>
%105 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
%106 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384x1024x1x1xf32>) : !torch.vtensor<[384,1024,1,1],f32>
%107 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384xf32>) : !torch.vtensor<[384],f32>
%108 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x1024x1x1xf32>) : !torch.vtensor<[192,1024,1,1],f32>
%109 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%110 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x192x1x7xf32>) : !torch.vtensor<[224,192,1,7],f32>
%111 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%112 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x224x7x1xf32>) : !torch.vtensor<[256,224,7,1],f32>
%113 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%114 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x1024x1x1xf32>) : !torch.vtensor<[192,1024,1,1],f32>
%115 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%116 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x192x7x1xf32>) : !torch.vtensor<[192,192,7,1],f32>
%117 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%118 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x192x1x7xf32>) : !torch.vtensor<[224,192,1,7],f32>
%119 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%120 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x224x7x1xf32>) : !torch.vtensor<[224,224,7,1],f32>
%121 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%122 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x224x1x7xf32>) : !torch.vtensor<[256,224,1,7],f32>
%123 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%124 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x1024x1x1xf32>) : !torch.vtensor<[128,1024,1,1],f32>
%125 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
%126 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384x1024x1x1xf32>) : !torch.vtensor<[384,1024,1,1],f32>
%127 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384xf32>) : !torch.vtensor<[384],f32>
%128 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x1024x1x1xf32>) : !torch.vtensor<[192,1024,1,1],f32>
%129 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%130 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x192x1x7xf32>) : !torch.vtensor<[224,192,1,7],f32>
%131 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%132 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x224x7x1xf32>) : !torch.vtensor<[256,224,7,1],f32>
%133 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%134 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x1024x1x1xf32>) : !torch.vtensor<[192,1024,1,1],f32>
%135 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%136 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x192x7x1xf32>) : !torch.vtensor<[192,192,7,1],f32>
%137 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%138 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x192x1x7xf32>) : !torch.vtensor<[224,192,1,7],f32>
%139 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%140 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x224x7x1xf32>) : !torch.vtensor<[224,224,7,1],f32>
%141 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%142 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x224x1x7xf32>) : !torch.vtensor<[256,224,1,7],f32>
%143 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%144 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x1024x1x1xf32>) : !torch.vtensor<[128,1024,1,1],f32>
%145 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
%146 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384x1024x1x1xf32>) : !torch.vtensor<[384,1024,1,1],f32>
%147 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384xf32>) : !torch.vtensor<[384],f32>
%148 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x1024x1x1xf32>) : !torch.vtensor<[192,1024,1,1],f32>
%149 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%150 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x192x1x7xf32>) : !torch.vtensor<[224,192,1,7],f32>
%151 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%152 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x224x7x1xf32>) : !torch.vtensor<[256,224,7,1],f32>
%153 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%154 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x1024x1x1xf32>) : !torch.vtensor<[192,1024,1,1],f32>
%155 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%156 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x192x7x1xf32>) : !torch.vtensor<[192,192,7,1],f32>
%157 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%158 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x192x1x7xf32>) : !torch.vtensor<[224,192,1,7],f32>
%159 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%160 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x224x7x1xf32>) : !torch.vtensor<[224,224,7,1],f32>
%161 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%162 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x224x1x7xf32>) : !torch.vtensor<[256,224,1,7],f32>
%163 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%164 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x1024x1x1xf32>) : !torch.vtensor<[128,1024,1,1],f32>
%165 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
%166 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384x1024x1x1xf32>) : !torch.vtensor<[384,1024,1,1],f32>
%167 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384xf32>) : !torch.vtensor<[384],f32>
%168 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x1024x1x1xf32>) : !torch.vtensor<[192,1024,1,1],f32>
%169 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%170 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x192x1x7xf32>) : !torch.vtensor<[224,192,1,7],f32>
%171 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%172 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x224x7x1xf32>) : !torch.vtensor<[256,224,7,1],f32>
%173 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%174 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x1024x1x1xf32>) : !torch.vtensor<[192,1024,1,1],f32>
%175 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%176 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x192x7x1xf32>) : !torch.vtensor<[192,192,7,1],f32>
%177 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%178 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x192x1x7xf32>) : !torch.vtensor<[224,192,1,7],f32>
%179 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%180 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x224x7x1xf32>) : !torch.vtensor<[224,224,7,1],f32>
%181 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%182 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x224x1x7xf32>) : !torch.vtensor<[256,224,1,7],f32>
%183 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%184 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x1024x1x1xf32>) : !torch.vtensor<[128,1024,1,1],f32>
%185 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
%186 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384x1024x1x1xf32>) : !torch.vtensor<[384,1024,1,1],f32>
%187 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384xf32>) : !torch.vtensor<[384],f32>
%188 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x1024x1x1xf32>) : !torch.vtensor<[192,1024,1,1],f32>
%189 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%190 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x192x1x7xf32>) : !torch.vtensor<[224,192,1,7],f32>
%191 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%192 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x224x7x1xf32>) : !torch.vtensor<[256,224,7,1],f32>
%193 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%194 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x1024x1x1xf32>) : !torch.vtensor<[192,1024,1,1],f32>
%195 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%196 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x192x7x1xf32>) : !torch.vtensor<[192,192,7,1],f32>
%197 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%198 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x192x1x7xf32>) : !torch.vtensor<[224,192,1,7],f32>
%199 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%200 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x224x7x1xf32>) : !torch.vtensor<[224,224,7,1],f32>
%201 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%202 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x224x1x7xf32>) : !torch.vtensor<[256,224,1,7],f32>
%203 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%204 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x1024x1x1xf32>) : !torch.vtensor<[128,1024,1,1],f32>
%205 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
%206 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384x1024x1x1xf32>) : !torch.vtensor<[384,1024,1,1],f32>
%207 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384xf32>) : !torch.vtensor<[384],f32>
%208 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x1024x1x1xf32>) : !torch.vtensor<[192,1024,1,1],f32>
%209 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%210 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x192x1x7xf32>) : !torch.vtensor<[224,192,1,7],f32>
%211 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%212 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x224x7x1xf32>) : !torch.vtensor<[256,224,7,1],f32>
%213 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%214 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x1024x1x1xf32>) : !torch.vtensor<[192,1024,1,1],f32>
%215 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%216 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x192x7x1xf32>) : !torch.vtensor<[192,192,7,1],f32>
%217 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%218 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x192x1x7xf32>) : !torch.vtensor<[224,192,1,7],f32>
%219 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%220 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224x224x7x1xf32>) : !torch.vtensor<[224,224,7,1],f32>
%221 = torch.vtensor.literal(dense_resource<__elided__> : tensor<224xf32>) : !torch.vtensor<[224],f32>
%222 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x224x1x7xf32>) : !torch.vtensor<[256,224,1,7],f32>
%223 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%224 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128x1024x1x1xf32>) : !torch.vtensor<[128,1024,1,1],f32>
%225 = torch.vtensor.literal(dense_resource<__elided__> : tensor<128xf32>) : !torch.vtensor<[128],f32>
%226 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x1024x1x1xf32>) : !torch.vtensor<[192,1024,1,1],f32>
%227 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%228 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192x192x3x3xf32>) : !torch.vtensor<[192,192,3,3],f32>
%229 = torch.vtensor.literal(dense_resource<__elided__> : tensor<192xf32>) : !torch.vtensor<[192],f32>
%230 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x1024x1x1xf32>) : !torch.vtensor<[256,1024,1,1],f32>
%231 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%232 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x256x1x7xf32>) : !torch.vtensor<[256,256,1,7],f32>
%233 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%234 = torch.vtensor.literal(dense_resource<__elided__> : tensor<320x256x7x1xf32>) : !torch.vtensor<[320,256,7,1],f32>
%235 = torch.vtensor.literal(dense_resource<__elided__> : tensor<320xf32>) : !torch.vtensor<[320],f32>
%236 = torch.vtensor.literal(dense_resource<__elided__> : tensor<320x320x3x3xf32>) : !torch.vtensor<[320,320,3,3],f32>
%237 = torch.vtensor.literal(dense_resource<__elided__> : tensor<320xf32>) : !torch.vtensor<[320],f32>
%238 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x1536x1x1xf32>) : !torch.vtensor<[256,1536,1,1],f32>
%239 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%240 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384x1536x1x1xf32>) : !torch.vtensor<[384,1536,1,1],f32>
%241 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384xf32>) : !torch.vtensor<[384],f32>
%242 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x384x1x3xf32>) : !torch.vtensor<[256,384,1,3],f32>
%243 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%244 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x384x3x1xf32>) : !torch.vtensor<[256,384,3,1],f32>
%245 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%246 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384x1536x1x1xf32>) : !torch.vtensor<[384,1536,1,1],f32>
%247 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384xf32>) : !torch.vtensor<[384],f32>
%248 = torch.vtensor.literal(dense_resource<__elided__> : tensor<448x384x3x1xf32>) : !torch.vtensor<[448,384,3,1],f32>
%249 = torch.vtensor.literal(dense_resource<__elided__> : tensor<448xf32>) : !torch.vtensor<[448],f32>
%250 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x448x1x3xf32>) : !torch.vtensor<[512,448,1,3],f32>
%251 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32>
%252 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x512x1x3xf32>) : !torch.vtensor<[256,512,1,3],f32>
%253 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%254 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x512x3x1xf32>) : !torch.vtensor<[256,512,3,1],f32>
%255 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%256 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x1536x1x1xf32>) : !torch.vtensor<[256,1536,1,1],f32>
%257 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%258 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x1536x1x1xf32>) : !torch.vtensor<[256,1536,1,1],f32>
%259 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%260 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384x1536x1x1xf32>) : !torch.vtensor<[384,1536,1,1],f32>
%261 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384xf32>) : !torch.vtensor<[384],f32>
%262 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x384x1x3xf32>) : !torch.vtensor<[256,384,1,3],f32>
%263 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%264 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x384x3x1xf32>) : !torch.vtensor<[256,384,3,1],f32>
%265 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%266 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384x1536x1x1xf32>) : !torch.vtensor<[384,1536,1,1],f32>
%267 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384xf32>) : !torch.vtensor<[384],f32>
%268 = torch.vtensor.literal(dense_resource<__elided__> : tensor<448x384x3x1xf32>) : !torch.vtensor<[448,384,3,1],f32>
%269 = torch.vtensor.literal(dense_resource<__elided__> : tensor<448xf32>) : !torch.vtensor<[448],f32>
%270 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x448x1x3xf32>) : !torch.vtensor<[512,448,1,3],f32>
%271 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32>
%272 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x512x1x3xf32>) : !torch.vtensor<[256,512,1,3],f32>
%273 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%274 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x512x3x1xf32>) : !torch.vtensor<[256,512,3,1],f32>
%275 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%276 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x1536x1x1xf32>) : !torch.vtensor<[256,1536,1,1],f32>
%277 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%278 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x1536x1x1xf32>) : !torch.vtensor<[256,1536,1,1],f32>
%279 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%280 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384x1536x1x1xf32>) : !torch.vtensor<[384,1536,1,1],f32>
%281 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384xf32>) : !torch.vtensor<[384],f32>
%282 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x384x1x3xf32>) : !torch.vtensor<[256,384,1,3],f32>
%283 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%284 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x384x3x1xf32>) : !torch.vtensor<[256,384,3,1],f32>
%285 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%286 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384x1536x1x1xf32>) : !torch.vtensor<[384,1536,1,1],f32>
%287 = torch.vtensor.literal(dense_resource<__elided__> : tensor<384xf32>) : !torch.vtensor<[384],f32>
%288 = torch.vtensor.literal(dense_resource<__elided__> : tensor<448x384x3x1xf32>) : !torch.vtensor<[448,384,3,1],f32>
%289 = torch.vtensor.literal(dense_resource<__elided__> : tensor<448xf32>) : !torch.vtensor<[448],f32>
%290 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512x448x1x3xf32>) : !torch.vtensor<[512,448,1,3],f32>
%291 = torch.vtensor.literal(dense_resource<__elided__> : tensor<512xf32>) : !torch.vtensor<[512],f32>
%292 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x512x1x3xf32>) : !torch.vtensor<[256,512,1,3],f32>
%293 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%294 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x512x3x1xf32>) : !torch.vtensor<[256,512,3,1],f32>
%295 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%296 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256x1536x1x1xf32>) : !torch.vtensor<[256,1536,1,1],f32>
%297 = torch.vtensor.literal(dense_resource<__elided__> : tensor<256xf32>) : !torch.vtensor<[256],f32>
%298 = torch.vtensor.literal(dense_resource<__elided__> : tensor<1000x1536xf32>) : !torch.vtensor<[1000,1536],f32>
%299 = torch.vtensor.literal(dense_resource<__elided__> : tensor<1000xf32>) : !torch.vtensor<[1000],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>
%302 = torch.vtensor.literal(dense<1.562500e-02> : tensor<f32>) : !torch.vtensor<[],f32>
%303 = torch.vtensor.literal(dense<1.250000e-01> : tensor<f32>) : !torch.vtensor<[],f32>
%304 = torch.vtensor.literal(dense<7.812500e-03> : tensor<f32>) : !torch.vtensor<[],f32>
%305 = torch.vtensor.literal(dense<3.906250e-03> : tensor<f32>) : !torch.vtensor<[],f32>
%306 = torch.vtensor.literal(dense<3.125000e-02> : tensor<f32>) : !torch.vtensor<[],f32>
%307 = torch.vtensor.literal(dense<0.001953125> : tensor<f32>) : !torch.vtensor<[],f32>
%308 = torch.vtensor.literal(dense<9.843750e-01> : tensor<f32>) : !torch.vtensor<[],f32>
%309 = torch.vtensor.literal(dense<0.9765625> : tensor<f32>) : !torch.vtensor<[],f32>
%310 = torch.vtensor.literal(dense<9.765625E-4> : tensor<f32>) : !torch.vtensor<[],f32>
%none = torch.constant.none
%int12 = torch.constant.int 12
%311 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%312 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%313 = torch.aten.quantize_per_tensor %arg0, %311, %312, %int12 : !torch.vtensor<[32,3,224,224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,3,224,224],!torch.qint8>
%314 = torch.aten.int_repr %313 : !torch.vtensor<[32,3,224,224],!torch.qint8> -> !torch.vtensor<[32,3,224,224],si8>
%315 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%316 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%317 = torch.aten._make_per_tensor_quantized_tensor %314, %315, %316 : !torch.vtensor<[32,3,224,224],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,3,224,224],!torch.qint8>
%318 = torch.aten.dequantize.self %317 : !torch.vtensor<[32,3,224,224],!torch.qint8> -> !torch.vtensor<[32,3,224,224],f32>
%int12_0 = torch.constant.int 12
%319 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%320 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%321 = torch.aten.quantize_per_tensor %0, %319, %320, %int12_0 : !torch.vtensor<[32,3,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,3,3,3],!torch.qint8>
%322 = torch.aten.int_repr %321 : !torch.vtensor<[32,3,3,3],!torch.qint8> -> !torch.vtensor<[32,3,3,3],si8>
%323 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%324 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%325 = torch.aten._make_per_tensor_quantized_tensor %322, %323, %324 : !torch.vtensor<[32,3,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,3,3,3],!torch.qint8>
%326 = torch.aten.dequantize.self %325 : !torch.vtensor<[32,3,3,3],!torch.qint8> -> !torch.vtensor<[32,3,3,3],f32>
%int12_1 = torch.constant.int 12
%327 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%328 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%329 = torch.aten.quantize_per_tensor %1, %327, %328, %int12_1 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
%330 = torch.aten.int_repr %329 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
%331 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%332 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%333 = torch.aten._make_per_tensor_quantized_tensor %330, %331, %332 : !torch.vtensor<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
%334 = torch.aten.dequantize.self %333 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
%int0 = torch.constant.int 0
%int0_2 = torch.constant.int 0
%int1 = torch.constant.int 1
%int1_3 = torch.constant.int 1
%int2 = torch.constant.int 2
%int2_4 = torch.constant.int 2
%int0_5 = torch.constant.int 0
%335 = torch.prim.ListConstruct %int0, %int0_2 : (!torch.int, !torch.int) -> !torch.list<int>
%336 = torch.prim.ListConstruct %int1, %int1_3 : (!torch.int, !torch.int) -> !torch.list<int>
%337 = torch.prim.ListConstruct %int2, %int2_4 : (!torch.int, !torch.int) -> !torch.list<int>
%338 = torch.prim.ListConstruct %int0_5, %int0_5 : (!torch.int, !torch.int) -> !torch.list<int>
%false = torch.constant.bool false
%int1_6 = torch.constant.int 1
%339 = torch.aten.convolution %318, %326, %334, %337, %335, %336, %false, %338, %int1_6 : !torch.vtensor<[32,3,224,224],f32>, !torch.vtensor<[32,3,3,3],f32>, !torch.vtensor<[32],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,32,111,111],f32>
%340 = torch.aten.relu %339 : !torch.vtensor<[32,32,111,111],f32> -> !torch.vtensor<[32,32,111,111],f32>
%int12_7 = torch.constant.int 12
%341 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%342 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%343 = torch.aten.quantize_per_tensor %340, %341, %342, %int12_7 : !torch.vtensor<[32,32,111,111],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,32,111,111],!torch.qint8>
%344 = torch.aten.int_repr %343 : !torch.vtensor<[32,32,111,111],!torch.qint8> -> !torch.vtensor<[32,32,111,111],si8>
%345 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%346 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%347 = torch.aten._make_per_tensor_quantized_tensor %344, %345, %346 : !torch.vtensor<[32,32,111,111],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,32,111,111],!torch.qint8>
%348 = torch.aten.dequantize.self %347 : !torch.vtensor<[32,32,111,111],!torch.qint8> -> !torch.vtensor<[32,32,111,111],f32>
%int12_8 = torch.constant.int 12
%349 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%350 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%351 = torch.aten.quantize_per_tensor %2, %349, %350, %int12_8 : !torch.vtensor<[32,32,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,32,3,3],!torch.qint8>
%352 = torch.aten.int_repr %351 : !torch.vtensor<[32,32,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3],si8>
%353 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%354 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%355 = torch.aten._make_per_tensor_quantized_tensor %352, %353, %354 : !torch.vtensor<[32,32,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,32,3,3],!torch.qint8>
%356 = torch.aten.dequantize.self %355 : !torch.vtensor<[32,32,3,3],!torch.qint8> -> !torch.vtensor<[32,32,3,3],f32>
%int12_9 = torch.constant.int 12
%357 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%358 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%359 = torch.aten.quantize_per_tensor %3, %357, %358, %int12_9 : !torch.vtensor<[32],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32],!torch.qint8>
%360 = torch.aten.int_repr %359 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],si8>
%361 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%362 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%363 = torch.aten._make_per_tensor_quantized_tensor %360, %361, %362 : !torch.vtensor<[32],si8>, !torch.float, !torch.int -> !torch.vtensor<[32],!torch.qint8>
%364 = torch.aten.dequantize.self %363 : !torch.vtensor<[32],!torch.qint8> -> !torch.vtensor<[32],f32>
%int0_10 = torch.constant.int 0
%int0_11 = torch.constant.int 0
%int1_12 = torch.constant.int 1
%int1_13 = torch.constant.int 1
%int1_14 = torch.constant.int 1
%int1_15 = torch.constant.int 1
%int0_16 = torch.constant.int 0
%365 = torch.prim.ListConstruct %int0_10, %int0_11 : (!torch.int, !torch.int) -> !torch.list<int>
%366 = torch.prim.ListConstruct %int1_12, %int1_13 : (!torch.int, !torch.int) -> !torch.list<int>
%367 = torch.prim.ListConstruct %int1_14, %int1_15 : (!torch.int, !torch.int) -> !torch.list<int>
%368 = torch.prim.ListConstruct %int0_16, %int0_16 : (!torch.int, !torch.int) -> !torch.list<int>
%false_17 = torch.constant.bool false
%int1_18 = torch.constant.int 1
%369 = torch.aten.convolution %348, %356, %364, %367, %365, %366, %false_17, %368, %int1_18 : !torch.vtensor<[32,32,111,111],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<[32,32,109,109],f32>
%370 = torch.aten.relu %369 : !torch.vtensor<[32,32,109,109],f32> -> !torch.vtensor<[32,32,109,109],f32>
%int12_19 = torch.constant.int 12
%371 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%372 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%373 = torch.aten.quantize_per_tensor %370, %371, %372, %int12_19 : !torch.vtensor<[32,32,109,109],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,32,109,109],!torch.qint8>
%374 = torch.aten.int_repr %373 : !torch.vtensor<[32,32,109,109],!torch.qint8> -> !torch.vtensor<[32,32,109,109],si8>
%375 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%376 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%377 = torch.aten._make_per_tensor_quantized_tensor %374, %375, %376 : !torch.vtensor<[32,32,109,109],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,32,109,109],!torch.qint8>
%378 = torch.aten.dequantize.self %377 : !torch.vtensor<[32,32,109,109],!torch.qint8> -> !torch.vtensor<[32,32,109,109],f32>
%int12_20 = torch.constant.int 12
%379 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%380 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%381 = torch.aten.quantize_per_tensor %4, %379, %380, %int12_20 : !torch.vtensor<[64,32,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,32,3,3],!torch.qint8>
%382 = torch.aten.int_repr %381 : !torch.vtensor<[64,32,3,3],!torch.qint8> -> !torch.vtensor<[64,32,3,3],si8>
%383 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%384 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%385 = torch.aten._make_per_tensor_quantized_tensor %382, %383, %384 : !torch.vtensor<[64,32,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,32,3,3],!torch.qint8>
%386 = torch.aten.dequantize.self %385 : !torch.vtensor<[64,32,3,3],!torch.qint8> -> !torch.vtensor<[64,32,3,3],f32>
%int12_21 = torch.constant.int 12
%387 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%388 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%389 = torch.aten.quantize_per_tensor %5, %387, %388, %int12_21 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%390 = torch.aten.int_repr %389 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
%391 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%392 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%393 = torch.aten._make_per_tensor_quantized_tensor %390, %391, %392 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%394 = torch.aten.dequantize.self %393 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
%int1_22 = torch.constant.int 1
%int1_23 = torch.constant.int 1
%int1_24 = torch.constant.int 1
%int1_25 = torch.constant.int 1
%int1_26 = torch.constant.int 1
%int1_27 = torch.constant.int 1
%int0_28 = torch.constant.int 0
%395 = torch.prim.ListConstruct %int1_22, %int1_23 : (!torch.int, !torch.int) -> !torch.list<int>
%396 = torch.prim.ListConstruct %int1_24, %int1_25 : (!torch.int, !torch.int) -> !torch.list<int>
%397 = torch.prim.ListConstruct %int1_26, %int1_27 : (!torch.int, !torch.int) -> !torch.list<int>
%398 = torch.prim.ListConstruct %int0_28, %int0_28 : (!torch.int, !torch.int) -> !torch.list<int>
%false_29 = torch.constant.bool false
%int1_30 = torch.constant.int 1
%399 = torch.aten.convolution %378, %386, %394, %397, %395, %396, %false_29, %398, %int1_30 : !torch.vtensor<[32,32,109,109],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<[32,64,109,109],f32>
%400 = torch.aten.relu %399 : !torch.vtensor<[32,64,109,109],f32> -> !torch.vtensor<[32,64,109,109],f32>
%int12_31 = torch.constant.int 12
%401 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%402 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%403 = torch.aten.quantize_per_tensor %400, %401, %402, %int12_31 : !torch.vtensor<[32,64,109,109],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,64,109,109],!torch.qint8>
%404 = torch.aten.int_repr %403 : !torch.vtensor<[32,64,109,109],!torch.qint8> -> !torch.vtensor<[32,64,109,109],si8>
%405 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%406 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%407 = torch.aten._make_per_tensor_quantized_tensor %404, %405, %406 : !torch.vtensor<[32,64,109,109],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,64,109,109],!torch.qint8>
%408 = torch.aten.dequantize.self %407 : !torch.vtensor<[32,64,109,109],!torch.qint8> -> !torch.vtensor<[32,64,109,109],f32>
%int3 = torch.constant.int 3
%int3_32 = torch.constant.int 3
%409 = torch.prim.ListConstruct %int3, %int3_32 : (!torch.int, !torch.int) -> !torch.list<int>
%int0_33 = torch.constant.int 0
%int0_34 = torch.constant.int 0
%410 = torch.prim.ListConstruct %int0_33, %int0_34 : (!torch.int, !torch.int) -> !torch.list<int>
%int2_35 = torch.constant.int 2
%int2_36 = torch.constant.int 2
%411 = torch.prim.ListConstruct %int2_35, %int2_36 : (!torch.int, !torch.int) -> !torch.list<int>
%int1_37 = torch.constant.int 1
%int1_38 = torch.constant.int 1
%412 = torch.prim.ListConstruct %int1_37, %int1_38 : (!torch.int, !torch.int) -> !torch.list<int>
%false_39 = torch.constant.bool false
%413 = torch.aten.max_pool2d %408, %409, %411, %410, %412, %false_39 : !torch.vtensor<[32,64,109,109],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.vtensor<[32,64,54,54],f32>
%int12_40 = torch.constant.int 12
%414 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%415 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%416 = torch.aten.quantize_per_tensor %6, %414, %415, %int12_40 : !torch.vtensor<[96,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%417 = torch.aten.int_repr %416 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],si8>
%418 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%419 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%420 = torch.aten._make_per_tensor_quantized_tensor %417, %418, %419 : !torch.vtensor<[96,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%421 = torch.aten.dequantize.self %420 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],f32>
%int12_41 = torch.constant.int 12
%422 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%423 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%424 = torch.aten.quantize_per_tensor %7, %422, %423, %int12_41 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%425 = torch.aten.int_repr %424 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%426 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%427 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%428 = torch.aten._make_per_tensor_quantized_tensor %425, %426, %427 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%429 = torch.aten.dequantize.self %428 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int0_42 = torch.constant.int 0
%int0_43 = torch.constant.int 0
%int1_44 = torch.constant.int 1
%int1_45 = torch.constant.int 1
%int2_46 = torch.constant.int 2
%int2_47 = torch.constant.int 2
%int0_48 = torch.constant.int 0
%430 = torch.prim.ListConstruct %int0_42, %int0_43 : (!torch.int, !torch.int) -> !torch.list<int>
%431 = torch.prim.ListConstruct %int1_44, %int1_45 : (!torch.int, !torch.int) -> !torch.list<int>
%432 = torch.prim.ListConstruct %int2_46, %int2_47 : (!torch.int, !torch.int) -> !torch.list<int>
%433 = torch.prim.ListConstruct %int0_48, %int0_48 : (!torch.int, !torch.int) -> !torch.list<int>
%false_49 = torch.constant.bool false
%int1_50 = torch.constant.int 1
%434 = torch.aten.convolution %408, %421, %429, %432, %430, %431, %false_49, %433, %int1_50 : !torch.vtensor<[32,64,109,109],f32>, !torch.vtensor<[96,64,3,3],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,54,54],f32>
%435 = torch.aten.relu %434 : !torch.vtensor<[32,96,54,54],f32> -> !torch.vtensor<[32,96,54,54],f32>
%436 = torch.prim.ListConstruct %413, %435 : (!torch.vtensor<[32,64,54,54],f32>, !torch.vtensor<[32,96,54,54],f32>) -> !torch.list<vtensor>
%int1_51 = torch.constant.int 1
%437 = torch.aten.cat %436, %int1_51 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,160,54,54],f32>
%int12_52 = torch.constant.int 12
%438 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%439 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%440 = torch.aten.quantize_per_tensor %437, %438, %439, %int12_52 : !torch.vtensor<[32,160,54,54],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,160,54,54],!torch.qint8>
%441 = torch.aten.int_repr %440 : !torch.vtensor<[32,160,54,54],!torch.qint8> -> !torch.vtensor<[32,160,54,54],si8>
%442 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%443 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%444 = torch.aten._make_per_tensor_quantized_tensor %441, %442, %443 : !torch.vtensor<[32,160,54,54],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,160,54,54],!torch.qint8>
%445 = torch.aten.dequantize.self %444 : !torch.vtensor<[32,160,54,54],!torch.qint8> -> !torch.vtensor<[32,160,54,54],f32>
%int12_53 = torch.constant.int 12
%446 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%447 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%448 = torch.aten.quantize_per_tensor %8, %446, %447, %int12_53 : !torch.vtensor<[64,160,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,160,1,1],!torch.qint8>
%449 = torch.aten.int_repr %448 : !torch.vtensor<[64,160,1,1],!torch.qint8> -> !torch.vtensor<[64,160,1,1],si8>
%450 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%451 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%452 = torch.aten._make_per_tensor_quantized_tensor %449, %450, %451 : !torch.vtensor<[64,160,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,160,1,1],!torch.qint8>
%453 = torch.aten.dequantize.self %452 : !torch.vtensor<[64,160,1,1],!torch.qint8> -> !torch.vtensor<[64,160,1,1],f32>
%int12_54 = torch.constant.int 12
%454 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%455 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%456 = torch.aten.quantize_per_tensor %9, %454, %455, %int12_54 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%457 = torch.aten.int_repr %456 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
%458 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%459 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%460 = torch.aten._make_per_tensor_quantized_tensor %457, %458, %459 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%461 = torch.aten.dequantize.self %460 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
%int0_55 = torch.constant.int 0
%int0_56 = torch.constant.int 0
%int1_57 = torch.constant.int 1
%int1_58 = torch.constant.int 1
%int1_59 = torch.constant.int 1
%int1_60 = torch.constant.int 1
%int0_61 = torch.constant.int 0
%462 = torch.prim.ListConstruct %int0_55, %int0_56 : (!torch.int, !torch.int) -> !torch.list<int>
%463 = torch.prim.ListConstruct %int1_57, %int1_58 : (!torch.int, !torch.int) -> !torch.list<int>
%464 = torch.prim.ListConstruct %int1_59, %int1_60 : (!torch.int, !torch.int) -> !torch.list<int>
%465 = torch.prim.ListConstruct %int0_61, %int0_61 : (!torch.int, !torch.int) -> !torch.list<int>
%false_62 = torch.constant.bool false
%int1_63 = torch.constant.int 1
%466 = torch.aten.convolution %445, %453, %461, %464, %462, %463, %false_62, %465, %int1_63 : !torch.vtensor<[32,160,54,54],f32>, !torch.vtensor<[64,160,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,64,54,54],f32>
%467 = torch.aten.relu %466 : !torch.vtensor<[32,64,54,54],f32> -> !torch.vtensor<[32,64,54,54],f32>
%int12_64 = torch.constant.int 12
%468 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%469 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%470 = torch.aten.quantize_per_tensor %467, %468, %469, %int12_64 : !torch.vtensor<[32,64,54,54],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,64,54,54],!torch.qint8>
%471 = torch.aten.int_repr %470 : !torch.vtensor<[32,64,54,54],!torch.qint8> -> !torch.vtensor<[32,64,54,54],si8>
%472 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%473 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%474 = torch.aten._make_per_tensor_quantized_tensor %471, %472, %473 : !torch.vtensor<[32,64,54,54],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,64,54,54],!torch.qint8>
%475 = torch.aten.dequantize.self %474 : !torch.vtensor<[32,64,54,54],!torch.qint8> -> !torch.vtensor<[32,64,54,54],f32>
%int12_65 = torch.constant.int 12
%476 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%477 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%478 = torch.aten.quantize_per_tensor %10, %476, %477, %int12_65 : !torch.vtensor<[96,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%479 = torch.aten.int_repr %478 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],si8>
%480 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%481 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%482 = torch.aten._make_per_tensor_quantized_tensor %479, %480, %481 : !torch.vtensor<[96,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%483 = torch.aten.dequantize.self %482 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],f32>
%int12_66 = torch.constant.int 12
%484 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%485 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%486 = torch.aten.quantize_per_tensor %11, %484, %485, %int12_66 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%487 = torch.aten.int_repr %486 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%488 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%489 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%490 = torch.aten._make_per_tensor_quantized_tensor %487, %488, %489 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%491 = torch.aten.dequantize.self %490 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int0_67 = torch.constant.int 0
%int0_68 = torch.constant.int 0
%int1_69 = torch.constant.int 1
%int1_70 = torch.constant.int 1
%int1_71 = torch.constant.int 1
%int1_72 = torch.constant.int 1
%int0_73 = torch.constant.int 0
%492 = torch.prim.ListConstruct %int0_67, %int0_68 : (!torch.int, !torch.int) -> !torch.list<int>
%493 = torch.prim.ListConstruct %int1_69, %int1_70 : (!torch.int, !torch.int) -> !torch.list<int>
%494 = torch.prim.ListConstruct %int1_71, %int1_72 : (!torch.int, !torch.int) -> !torch.list<int>
%495 = torch.prim.ListConstruct %int0_73, %int0_73 : (!torch.int, !torch.int) -> !torch.list<int>
%false_74 = torch.constant.bool false
%int1_75 = torch.constant.int 1
%496 = torch.aten.convolution %475, %483, %491, %494, %492, %493, %false_74, %495, %int1_75 : !torch.vtensor<[32,64,54,54],f32>, !torch.vtensor<[96,64,3,3],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,52,52],f32>
%497 = torch.aten.relu %496 : !torch.vtensor<[32,96,52,52],f32> -> !torch.vtensor<[32,96,52,52],f32>
%int12_76 = torch.constant.int 12
%498 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%499 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%500 = torch.aten.quantize_per_tensor %12, %498, %499, %int12_76 : !torch.vtensor<[64,160,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,160,1,1],!torch.qint8>
%501 = torch.aten.int_repr %500 : !torch.vtensor<[64,160,1,1],!torch.qint8> -> !torch.vtensor<[64,160,1,1],si8>
%502 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%503 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%504 = torch.aten._make_per_tensor_quantized_tensor %501, %502, %503 : !torch.vtensor<[64,160,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,160,1,1],!torch.qint8>
%505 = torch.aten.dequantize.self %504 : !torch.vtensor<[64,160,1,1],!torch.qint8> -> !torch.vtensor<[64,160,1,1],f32>
%int12_77 = torch.constant.int 12
%506 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%507 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%508 = torch.aten.quantize_per_tensor %13, %506, %507, %int12_77 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%509 = torch.aten.int_repr %508 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
%510 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%511 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%512 = torch.aten._make_per_tensor_quantized_tensor %509, %510, %511 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%513 = torch.aten.dequantize.self %512 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
%int0_78 = torch.constant.int 0
%int0_79 = torch.constant.int 0
%int1_80 = torch.constant.int 1
%int1_81 = torch.constant.int 1
%int1_82 = torch.constant.int 1
%int1_83 = torch.constant.int 1
%int0_84 = torch.constant.int 0
%514 = torch.prim.ListConstruct %int0_78, %int0_79 : (!torch.int, !torch.int) -> !torch.list<int>
%515 = torch.prim.ListConstruct %int1_80, %int1_81 : (!torch.int, !torch.int) -> !torch.list<int>
%516 = torch.prim.ListConstruct %int1_82, %int1_83 : (!torch.int, !torch.int) -> !torch.list<int>
%517 = torch.prim.ListConstruct %int0_84, %int0_84 : (!torch.int, !torch.int) -> !torch.list<int>
%false_85 = torch.constant.bool false
%int1_86 = torch.constant.int 1
%518 = torch.aten.convolution %445, %505, %513, %516, %514, %515, %false_85, %517, %int1_86 : !torch.vtensor<[32,160,54,54],f32>, !torch.vtensor<[64,160,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,64,54,54],f32>
%519 = torch.aten.relu %518 : !torch.vtensor<[32,64,54,54],f32> -> !torch.vtensor<[32,64,54,54],f32>
%int12_87 = torch.constant.int 12
%520 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%521 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%522 = torch.aten.quantize_per_tensor %519, %520, %521, %int12_87 : !torch.vtensor<[32,64,54,54],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,64,54,54],!torch.qint8>
%523 = torch.aten.int_repr %522 : !torch.vtensor<[32,64,54,54],!torch.qint8> -> !torch.vtensor<[32,64,54,54],si8>
%524 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%525 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%526 = torch.aten._make_per_tensor_quantized_tensor %523, %524, %525 : !torch.vtensor<[32,64,54,54],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,64,54,54],!torch.qint8>
%527 = torch.aten.dequantize.self %526 : !torch.vtensor<[32,64,54,54],!torch.qint8> -> !torch.vtensor<[32,64,54,54],f32>
%int12_88 = torch.constant.int 12
%528 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%529 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%530 = torch.aten.quantize_per_tensor %14, %528, %529, %int12_88 : !torch.vtensor<[64,64,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,1,7],!torch.qint8>
%531 = torch.aten.int_repr %530 : !torch.vtensor<[64,64,1,7],!torch.qint8> -> !torch.vtensor<[64,64,1,7],si8>
%532 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%533 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%534 = torch.aten._make_per_tensor_quantized_tensor %531, %532, %533 : !torch.vtensor<[64,64,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,1,7],!torch.qint8>
%535 = torch.aten.dequantize.self %534 : !torch.vtensor<[64,64,1,7],!torch.qint8> -> !torch.vtensor<[64,64,1,7],f32>
%int12_89 = torch.constant.int 12
%536 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%537 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%538 = torch.aten.quantize_per_tensor %15, %536, %537, %int12_89 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%539 = torch.aten.int_repr %538 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
%540 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%541 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%542 = torch.aten._make_per_tensor_quantized_tensor %539, %540, %541 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%543 = torch.aten.dequantize.self %542 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
%int0_90 = torch.constant.int 0
%int3_91 = torch.constant.int 3
%int1_92 = torch.constant.int 1
%int1_93 = torch.constant.int 1
%int1_94 = torch.constant.int 1
%int1_95 = torch.constant.int 1
%int0_96 = torch.constant.int 0
%544 = torch.prim.ListConstruct %int0_90, %int3_91 : (!torch.int, !torch.int) -> !torch.list<int>
%545 = torch.prim.ListConstruct %int1_92, %int1_93 : (!torch.int, !torch.int) -> !torch.list<int>
%546 = torch.prim.ListConstruct %int1_94, %int1_95 : (!torch.int, !torch.int) -> !torch.list<int>
%547 = torch.prim.ListConstruct %int0_96, %int0_96 : (!torch.int, !torch.int) -> !torch.list<int>
%false_97 = torch.constant.bool false
%int1_98 = torch.constant.int 1
%548 = torch.aten.convolution %527, %535, %543, %546, %544, %545, %false_97, %547, %int1_98 : !torch.vtensor<[32,64,54,54],f32>, !torch.vtensor<[64,64,1,7],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,64,54,54],f32>
%549 = torch.aten.relu %548 : !torch.vtensor<[32,64,54,54],f32> -> !torch.vtensor<[32,64,54,54],f32>
%int12_99 = torch.constant.int 12
%550 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%551 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%552 = torch.aten.quantize_per_tensor %549, %550, %551, %int12_99 : !torch.vtensor<[32,64,54,54],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,64,54,54],!torch.qint8>
%553 = torch.aten.int_repr %552 : !torch.vtensor<[32,64,54,54],!torch.qint8> -> !torch.vtensor<[32,64,54,54],si8>
%554 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%555 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%556 = torch.aten._make_per_tensor_quantized_tensor %553, %554, %555 : !torch.vtensor<[32,64,54,54],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,64,54,54],!torch.qint8>
%557 = torch.aten.dequantize.self %556 : !torch.vtensor<[32,64,54,54],!torch.qint8> -> !torch.vtensor<[32,64,54,54],f32>
%int12_100 = torch.constant.int 12
%558 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%559 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%560 = torch.aten.quantize_per_tensor %16, %558, %559, %int12_100 : !torch.vtensor<[64,64,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,64,7,1],!torch.qint8>
%561 = torch.aten.int_repr %560 : !torch.vtensor<[64,64,7,1],!torch.qint8> -> !torch.vtensor<[64,64,7,1],si8>
%562 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%563 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%564 = torch.aten._make_per_tensor_quantized_tensor %561, %562, %563 : !torch.vtensor<[64,64,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,64,7,1],!torch.qint8>
%565 = torch.aten.dequantize.self %564 : !torch.vtensor<[64,64,7,1],!torch.qint8> -> !torch.vtensor<[64,64,7,1],f32>
%int12_101 = torch.constant.int 12
%566 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%567 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%568 = torch.aten.quantize_per_tensor %17, %566, %567, %int12_101 : !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.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%571 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%572 = torch.aten._make_per_tensor_quantized_tensor %569, %570, %571 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%573 = torch.aten.dequantize.self %572 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
%int3_102 = torch.constant.int 3
%int0_103 = torch.constant.int 0
%int1_104 = torch.constant.int 1
%int1_105 = torch.constant.int 1
%int1_106 = torch.constant.int 1
%int1_107 = torch.constant.int 1
%int0_108 = torch.constant.int 0
%574 = torch.prim.ListConstruct %int3_102, %int0_103 : (!torch.int, !torch.int) -> !torch.list<int>
%575 = torch.prim.ListConstruct %int1_104, %int1_105 : (!torch.int, !torch.int) -> !torch.list<int>
%576 = torch.prim.ListConstruct %int1_106, %int1_107 : (!torch.int, !torch.int) -> !torch.list<int>
%577 = torch.prim.ListConstruct %int0_108, %int0_108 : (!torch.int, !torch.int) -> !torch.list<int>
%false_109 = torch.constant.bool false
%int1_110 = torch.constant.int 1
%578 = torch.aten.convolution %557, %565, %573, %576, %574, %575, %false_109, %577, %int1_110 : !torch.vtensor<[32,64,54,54],f32>, !torch.vtensor<[64,64,7,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,64,54,54],f32>
%579 = torch.aten.relu %578 : !torch.vtensor<[32,64,54,54],f32> -> !torch.vtensor<[32,64,54,54],f32>
%int12_111 = torch.constant.int 12
%580 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%581 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%582 = torch.aten.quantize_per_tensor %579, %580, %581, %int12_111 : !torch.vtensor<[32,64,54,54],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,64,54,54],!torch.qint8>
%583 = torch.aten.int_repr %582 : !torch.vtensor<[32,64,54,54],!torch.qint8> -> !torch.vtensor<[32,64,54,54],si8>
%584 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%585 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%586 = torch.aten._make_per_tensor_quantized_tensor %583, %584, %585 : !torch.vtensor<[32,64,54,54],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,64,54,54],!torch.qint8>
%587 = torch.aten.dequantize.self %586 : !torch.vtensor<[32,64,54,54],!torch.qint8> -> !torch.vtensor<[32,64,54,54],f32>
%int12_112 = torch.constant.int 12
%588 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%589 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%590 = torch.aten.quantize_per_tensor %18, %588, %589, %int12_112 : !torch.vtensor<[96,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%591 = torch.aten.int_repr %590 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],si8>
%592 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%593 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%594 = torch.aten._make_per_tensor_quantized_tensor %591, %592, %593 : !torch.vtensor<[96,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%595 = torch.aten.dequantize.self %594 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],f32>
%int12_113 = torch.constant.int 12
%596 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%597 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%598 = torch.aten.quantize_per_tensor %19, %596, %597, %int12_113 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%599 = torch.aten.int_repr %598 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%600 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%601 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%602 = torch.aten._make_per_tensor_quantized_tensor %599, %600, %601 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%603 = torch.aten.dequantize.self %602 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int0_114 = torch.constant.int 0
%int0_115 = torch.constant.int 0
%int1_116 = torch.constant.int 1
%int1_117 = torch.constant.int 1
%int1_118 = torch.constant.int 1
%int1_119 = torch.constant.int 1
%int0_120 = torch.constant.int 0
%604 = torch.prim.ListConstruct %int0_114, %int0_115 : (!torch.int, !torch.int) -> !torch.list<int>
%605 = torch.prim.ListConstruct %int1_116, %int1_117 : (!torch.int, !torch.int) -> !torch.list<int>
%606 = torch.prim.ListConstruct %int1_118, %int1_119 : (!torch.int, !torch.int) -> !torch.list<int>
%607 = torch.prim.ListConstruct %int0_120, %int0_120 : (!torch.int, !torch.int) -> !torch.list<int>
%false_121 = torch.constant.bool false
%int1_122 = torch.constant.int 1
%608 = torch.aten.convolution %587, %595, %603, %606, %604, %605, %false_121, %607, %int1_122 : !torch.vtensor<[32,64,54,54],f32>, !torch.vtensor<[96,64,3,3],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,52,52],f32>
%609 = torch.aten.relu %608 : !torch.vtensor<[32,96,52,52],f32> -> !torch.vtensor<[32,96,52,52],f32>
%610 = torch.prim.ListConstruct %497, %609 : (!torch.vtensor<[32,96,52,52],f32>, !torch.vtensor<[32,96,52,52],f32>) -> !torch.list<vtensor>
%int1_123 = torch.constant.int 1
%611 = torch.aten.cat %610, %int1_123 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,192,52,52],f32>
%int12_124 = torch.constant.int 12
%612 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%613 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%614 = torch.aten.quantize_per_tensor %611, %612, %613, %int12_124 : !torch.vtensor<[32,192,52,52],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,52,52],!torch.qint8>
%615 = torch.aten.int_repr %614 : !torch.vtensor<[32,192,52,52],!torch.qint8> -> !torch.vtensor<[32,192,52,52],si8>
%616 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%617 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%618 = torch.aten._make_per_tensor_quantized_tensor %615, %616, %617 : !torch.vtensor<[32,192,52,52],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,52,52],!torch.qint8>
%619 = torch.aten.dequantize.self %618 : !torch.vtensor<[32,192,52,52],!torch.qint8> -> !torch.vtensor<[32,192,52,52],f32>
%int12_125 = torch.constant.int 12
%620 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%621 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%622 = torch.aten.quantize_per_tensor %20, %620, %621, %int12_125 : !torch.vtensor<[192,192,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,192,3,3],!torch.qint8>
%623 = torch.aten.int_repr %622 : !torch.vtensor<[192,192,3,3],!torch.qint8> -> !torch.vtensor<[192,192,3,3],si8>
%624 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%625 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%626 = torch.aten._make_per_tensor_quantized_tensor %623, %624, %625 : !torch.vtensor<[192,192,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,192,3,3],!torch.qint8>
%627 = torch.aten.dequantize.self %626 : !torch.vtensor<[192,192,3,3],!torch.qint8> -> !torch.vtensor<[192,192,3,3],f32>
%int12_126 = torch.constant.int 12
%628 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%629 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%630 = torch.aten.quantize_per_tensor %21, %628, %629, %int12_126 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%631 = torch.aten.int_repr %630 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%632 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%633 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%634 = torch.aten._make_per_tensor_quantized_tensor %631, %632, %633 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%635 = torch.aten.dequantize.self %634 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_127 = torch.constant.int 0
%int0_128 = torch.constant.int 0
%int1_129 = torch.constant.int 1
%int1_130 = torch.constant.int 1
%int2_131 = torch.constant.int 2
%int2_132 = torch.constant.int 2
%int0_133 = torch.constant.int 0
%636 = torch.prim.ListConstruct %int0_127, %int0_128 : (!torch.int, !torch.int) -> !torch.list<int>
%637 = torch.prim.ListConstruct %int1_129, %int1_130 : (!torch.int, !torch.int) -> !torch.list<int>
%638 = torch.prim.ListConstruct %int2_131, %int2_132 : (!torch.int, !torch.int) -> !torch.list<int>
%639 = torch.prim.ListConstruct %int0_133, %int0_133 : (!torch.int, !torch.int) -> !torch.list<int>
%false_134 = torch.constant.bool false
%int1_135 = torch.constant.int 1
%640 = torch.aten.convolution %619, %627, %635, %638, %636, %637, %false_134, %639, %int1_135 : !torch.vtensor<[32,192,52,52],f32>, !torch.vtensor<[192,192,3,3],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,25,25],f32>
%641 = torch.aten.relu %640 : !torch.vtensor<[32,192,25,25],f32> -> !torch.vtensor<[32,192,25,25],f32>
%int3_136 = torch.constant.int 3
%int3_137 = torch.constant.int 3
%642 = torch.prim.ListConstruct %int3_136, %int3_137 : (!torch.int, !torch.int) -> !torch.list<int>
%int0_138 = torch.constant.int 0
%int0_139 = torch.constant.int 0
%643 = torch.prim.ListConstruct %int0_138, %int0_139 : (!torch.int, !torch.int) -> !torch.list<int>
%int2_140 = torch.constant.int 2
%int2_141 = torch.constant.int 2
%644 = torch.prim.ListConstruct %int2_140, %int2_141 : (!torch.int, !torch.int) -> !torch.list<int>
%int1_142 = torch.constant.int 1
%int1_143 = torch.constant.int 1
%645 = torch.prim.ListConstruct %int1_142, %int1_143 : (!torch.int, !torch.int) -> !torch.list<int>
%false_144 = torch.constant.bool false
%646 = torch.aten.max_pool2d %619, %642, %644, %643, %645, %false_144 : !torch.vtensor<[32,192,52,52],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.vtensor<[32,192,25,25],f32>
%647 = torch.prim.ListConstruct %641, %646 : (!torch.vtensor<[32,192,25,25],f32>, !torch.vtensor<[32,192,25,25],f32>) -> !torch.list<vtensor>
%int1_145 = torch.constant.int 1
%648 = torch.aten.cat %647, %int1_145 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,384,25,25],f32>
%int12_146 = torch.constant.int 12
%649 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%650 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%651 = torch.aten.quantize_per_tensor %648, %649, %650, %int12_146 : !torch.vtensor<[32,384,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%652 = torch.aten.int_repr %651 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],si8>
%653 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%654 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%655 = torch.aten._make_per_tensor_quantized_tensor %652, %653, %654 : !torch.vtensor<[32,384,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%656 = torch.aten.dequantize.self %655 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],f32>
%int12_147 = torch.constant.int 12
%657 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%658 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%659 = torch.aten.quantize_per_tensor %22, %657, %658, %int12_147 : !torch.vtensor<[96,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,384,1,1],!torch.qint8>
%660 = torch.aten.int_repr %659 : !torch.vtensor<[96,384,1,1],!torch.qint8> -> !torch.vtensor<[96,384,1,1],si8>
%661 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%662 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%663 = torch.aten._make_per_tensor_quantized_tensor %660, %661, %662 : !torch.vtensor<[96,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,384,1,1],!torch.qint8>
%664 = torch.aten.dequantize.self %663 : !torch.vtensor<[96,384,1,1],!torch.qint8> -> !torch.vtensor<[96,384,1,1],f32>
%int12_148 = torch.constant.int 12
%665 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%666 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%667 = torch.aten.quantize_per_tensor %23, %665, %666, %int12_148 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%668 = torch.aten.int_repr %667 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%669 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%670 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%671 = torch.aten._make_per_tensor_quantized_tensor %668, %669, %670 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%672 = torch.aten.dequantize.self %671 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int0_149 = torch.constant.int 0
%int0_150 = torch.constant.int 0
%int1_151 = torch.constant.int 1
%int1_152 = torch.constant.int 1
%int1_153 = torch.constant.int 1
%int1_154 = torch.constant.int 1
%int0_155 = torch.constant.int 0
%673 = torch.prim.ListConstruct %int0_149, %int0_150 : (!torch.int, !torch.int) -> !torch.list<int>
%674 = torch.prim.ListConstruct %int1_151, %int1_152 : (!torch.int, !torch.int) -> !torch.list<int>
%675 = torch.prim.ListConstruct %int1_153, %int1_154 : (!torch.int, !torch.int) -> !torch.list<int>
%676 = torch.prim.ListConstruct %int0_155, %int0_155 : (!torch.int, !torch.int) -> !torch.list<int>
%false_156 = torch.constant.bool false
%int1_157 = torch.constant.int 1
%677 = torch.aten.convolution %656, %664, %672, %675, %673, %674, %false_156, %676, %int1_157 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[96,384,1,1],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%678 = torch.aten.relu %677 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%int12_158 = torch.constant.int 12
%679 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%680 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%681 = torch.aten.quantize_per_tensor %24, %679, %680, %int12_158 : !torch.vtensor<[64,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,384,1,1],!torch.qint8>
%682 = torch.aten.int_repr %681 : !torch.vtensor<[64,384,1,1],!torch.qint8> -> !torch.vtensor<[64,384,1,1],si8>
%683 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%684 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%685 = torch.aten._make_per_tensor_quantized_tensor %682, %683, %684 : !torch.vtensor<[64,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,384,1,1],!torch.qint8>
%686 = torch.aten.dequantize.self %685 : !torch.vtensor<[64,384,1,1],!torch.qint8> -> !torch.vtensor<[64,384,1,1],f32>
%int12_159 = torch.constant.int 12
%687 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%688 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%689 = torch.aten.quantize_per_tensor %25, %687, %688, %int12_159 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%690 = torch.aten.int_repr %689 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
%691 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%692 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%693 = torch.aten._make_per_tensor_quantized_tensor %690, %691, %692 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%694 = torch.aten.dequantize.self %693 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
%int0_160 = torch.constant.int 0
%int0_161 = torch.constant.int 0
%int1_162 = torch.constant.int 1
%int1_163 = torch.constant.int 1
%int1_164 = torch.constant.int 1
%int1_165 = torch.constant.int 1
%int0_166 = torch.constant.int 0
%695 = torch.prim.ListConstruct %int0_160, %int0_161 : (!torch.int, !torch.int) -> !torch.list<int>
%696 = torch.prim.ListConstruct %int1_162, %int1_163 : (!torch.int, !torch.int) -> !torch.list<int>
%697 = torch.prim.ListConstruct %int1_164, %int1_165 : (!torch.int, !torch.int) -> !torch.list<int>
%698 = torch.prim.ListConstruct %int0_166, %int0_166 : (!torch.int, !torch.int) -> !torch.list<int>
%false_167 = torch.constant.bool false
%int1_168 = torch.constant.int 1
%699 = torch.aten.convolution %656, %686, %694, %697, %695, %696, %false_167, %698, %int1_168 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[64,384,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,64,25,25],f32>
%700 = torch.aten.relu %699 : !torch.vtensor<[32,64,25,25],f32> -> !torch.vtensor<[32,64,25,25],f32>
%int12_169 = torch.constant.int 12
%701 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%702 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%703 = torch.aten.quantize_per_tensor %700, %701, %702, %int12_169 : !torch.vtensor<[32,64,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,64,25,25],!torch.qint8>
%704 = torch.aten.int_repr %703 : !torch.vtensor<[32,64,25,25],!torch.qint8> -> !torch.vtensor<[32,64,25,25],si8>
%705 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%706 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%707 = torch.aten._make_per_tensor_quantized_tensor %704, %705, %706 : !torch.vtensor<[32,64,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,64,25,25],!torch.qint8>
%708 = torch.aten.dequantize.self %707 : !torch.vtensor<[32,64,25,25],!torch.qint8> -> !torch.vtensor<[32,64,25,25],f32>
%int12_170 = torch.constant.int 12
%709 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%710 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%711 = torch.aten.quantize_per_tensor %26, %709, %710, %int12_170 : !torch.vtensor<[96,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%712 = torch.aten.int_repr %711 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],si8>
%713 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%714 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%715 = torch.aten._make_per_tensor_quantized_tensor %712, %713, %714 : !torch.vtensor<[96,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%716 = torch.aten.dequantize.self %715 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],f32>
%int12_171 = torch.constant.int 12
%717 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%718 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%719 = torch.aten.quantize_per_tensor %27, %717, %718, %int12_171 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%720 = torch.aten.int_repr %719 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%721 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%722 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%723 = torch.aten._make_per_tensor_quantized_tensor %720, %721, %722 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%724 = torch.aten.dequantize.self %723 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int1_172 = torch.constant.int 1
%int1_173 = torch.constant.int 1
%int1_174 = torch.constant.int 1
%int1_175 = torch.constant.int 1
%int1_176 = torch.constant.int 1
%int1_177 = torch.constant.int 1
%int0_178 = torch.constant.int 0
%725 = torch.prim.ListConstruct %int1_172, %int1_173 : (!torch.int, !torch.int) -> !torch.list<int>
%726 = torch.prim.ListConstruct %int1_174, %int1_175 : (!torch.int, !torch.int) -> !torch.list<int>
%727 = torch.prim.ListConstruct %int1_176, %int1_177 : (!torch.int, !torch.int) -> !torch.list<int>
%728 = torch.prim.ListConstruct %int0_178, %int0_178 : (!torch.int, !torch.int) -> !torch.list<int>
%false_179 = torch.constant.bool false
%int1_180 = torch.constant.int 1
%729 = torch.aten.convolution %708, %716, %724, %727, %725, %726, %false_179, %728, %int1_180 : !torch.vtensor<[32,64,25,25],f32>, !torch.vtensor<[96,64,3,3],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%730 = torch.aten.relu %729 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%int12_181 = torch.constant.int 12
%731 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%732 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%733 = torch.aten.quantize_per_tensor %28, %731, %732, %int12_181 : !torch.vtensor<[64,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,384,1,1],!torch.qint8>
%734 = torch.aten.int_repr %733 : !torch.vtensor<[64,384,1,1],!torch.qint8> -> !torch.vtensor<[64,384,1,1],si8>
%735 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%736 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%737 = torch.aten._make_per_tensor_quantized_tensor %734, %735, %736 : !torch.vtensor<[64,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,384,1,1],!torch.qint8>
%738 = torch.aten.dequantize.self %737 : !torch.vtensor<[64,384,1,1],!torch.qint8> -> !torch.vtensor<[64,384,1,1],f32>
%int12_182 = torch.constant.int 12
%739 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%740 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%741 = torch.aten.quantize_per_tensor %29, %739, %740, %int12_182 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%742 = torch.aten.int_repr %741 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
%743 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%744 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%745 = torch.aten._make_per_tensor_quantized_tensor %742, %743, %744 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%746 = torch.aten.dequantize.self %745 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
%int0_183 = torch.constant.int 0
%int0_184 = torch.constant.int 0
%int1_185 = torch.constant.int 1
%int1_186 = torch.constant.int 1
%int1_187 = torch.constant.int 1
%int1_188 = torch.constant.int 1
%int0_189 = torch.constant.int 0
%747 = torch.prim.ListConstruct %int0_183, %int0_184 : (!torch.int, !torch.int) -> !torch.list<int>
%748 = torch.prim.ListConstruct %int1_185, %int1_186 : (!torch.int, !torch.int) -> !torch.list<int>
%749 = torch.prim.ListConstruct %int1_187, %int1_188 : (!torch.int, !torch.int) -> !torch.list<int>
%750 = torch.prim.ListConstruct %int0_189, %int0_189 : (!torch.int, !torch.int) -> !torch.list<int>
%false_190 = torch.constant.bool false
%int1_191 = torch.constant.int 1
%751 = torch.aten.convolution %656, %738, %746, %749, %747, %748, %false_190, %750, %int1_191 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[64,384,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,64,25,25],f32>
%752 = torch.aten.relu %751 : !torch.vtensor<[32,64,25,25],f32> -> !torch.vtensor<[32,64,25,25],f32>
%int12_192 = torch.constant.int 12
%753 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%754 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%755 = torch.aten.quantize_per_tensor %752, %753, %754, %int12_192 : !torch.vtensor<[32,64,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,64,25,25],!torch.qint8>
%756 = torch.aten.int_repr %755 : !torch.vtensor<[32,64,25,25],!torch.qint8> -> !torch.vtensor<[32,64,25,25],si8>
%757 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%758 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%759 = torch.aten._make_per_tensor_quantized_tensor %756, %757, %758 : !torch.vtensor<[32,64,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,64,25,25],!torch.qint8>
%760 = torch.aten.dequantize.self %759 : !torch.vtensor<[32,64,25,25],!torch.qint8> -> !torch.vtensor<[32,64,25,25],f32>
%int12_193 = torch.constant.int 12
%761 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%762 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%763 = torch.aten.quantize_per_tensor %30, %761, %762, %int12_193 : !torch.vtensor<[96,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%764 = torch.aten.int_repr %763 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],si8>
%765 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%766 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%767 = torch.aten._make_per_tensor_quantized_tensor %764, %765, %766 : !torch.vtensor<[96,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%768 = torch.aten.dequantize.self %767 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],f32>
%int12_194 = torch.constant.int 12
%769 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%770 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%771 = torch.aten.quantize_per_tensor %31, %769, %770, %int12_194 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%772 = torch.aten.int_repr %771 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%773 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%774 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%775 = torch.aten._make_per_tensor_quantized_tensor %772, %773, %774 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%776 = torch.aten.dequantize.self %775 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int1_195 = torch.constant.int 1
%int1_196 = torch.constant.int 1
%int1_197 = torch.constant.int 1
%int1_198 = torch.constant.int 1
%int1_199 = torch.constant.int 1
%int1_200 = torch.constant.int 1
%int0_201 = torch.constant.int 0
%777 = torch.prim.ListConstruct %int1_195, %int1_196 : (!torch.int, !torch.int) -> !torch.list<int>
%778 = torch.prim.ListConstruct %int1_197, %int1_198 : (!torch.int, !torch.int) -> !torch.list<int>
%779 = torch.prim.ListConstruct %int1_199, %int1_200 : (!torch.int, !torch.int) -> !torch.list<int>
%780 = torch.prim.ListConstruct %int0_201, %int0_201 : (!torch.int, !torch.int) -> !torch.list<int>
%false_202 = torch.constant.bool false
%int1_203 = torch.constant.int 1
%781 = torch.aten.convolution %760, %768, %776, %779, %777, %778, %false_202, %780, %int1_203 : !torch.vtensor<[32,64,25,25],f32>, !torch.vtensor<[96,64,3,3],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%782 = torch.aten.relu %781 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%int12_204 = torch.constant.int 12
%783 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%784 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%785 = torch.aten.quantize_per_tensor %782, %783, %784, %int12_204 : !torch.vtensor<[32,96,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,96,25,25],!torch.qint8>
%786 = torch.aten.int_repr %785 : !torch.vtensor<[32,96,25,25],!torch.qint8> -> !torch.vtensor<[32,96,25,25],si8>
%787 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%788 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%789 = torch.aten._make_per_tensor_quantized_tensor %786, %787, %788 : !torch.vtensor<[32,96,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,96,25,25],!torch.qint8>
%790 = torch.aten.dequantize.self %789 : !torch.vtensor<[32,96,25,25],!torch.qint8> -> !torch.vtensor<[32,96,25,25],f32>
%int12_205 = torch.constant.int 12
%791 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%792 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%793 = torch.aten.quantize_per_tensor %32, %791, %792, %int12_205 : !torch.vtensor<[96,96,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,96,3,3],!torch.qint8>
%794 = torch.aten.int_repr %793 : !torch.vtensor<[96,96,3,3],!torch.qint8> -> !torch.vtensor<[96,96,3,3],si8>
%795 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%796 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%797 = torch.aten._make_per_tensor_quantized_tensor %794, %795, %796 : !torch.vtensor<[96,96,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,96,3,3],!torch.qint8>
%798 = torch.aten.dequantize.self %797 : !torch.vtensor<[96,96,3,3],!torch.qint8> -> !torch.vtensor<[96,96,3,3],f32>
%int12_206 = torch.constant.int 12
%799 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%800 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%801 = torch.aten.quantize_per_tensor %33, %799, %800, %int12_206 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%802 = torch.aten.int_repr %801 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%803 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%804 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%805 = torch.aten._make_per_tensor_quantized_tensor %802, %803, %804 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%806 = torch.aten.dequantize.self %805 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int1_207 = torch.constant.int 1
%int1_208 = torch.constant.int 1
%int1_209 = torch.constant.int 1
%int1_210 = torch.constant.int 1
%int1_211 = torch.constant.int 1
%int1_212 = torch.constant.int 1
%int0_213 = torch.constant.int 0
%807 = torch.prim.ListConstruct %int1_207, %int1_208 : (!torch.int, !torch.int) -> !torch.list<int>
%808 = torch.prim.ListConstruct %int1_209, %int1_210 : (!torch.int, !torch.int) -> !torch.list<int>
%809 = torch.prim.ListConstruct %int1_211, %int1_212 : (!torch.int, !torch.int) -> !torch.list<int>
%810 = torch.prim.ListConstruct %int0_213, %int0_213 : (!torch.int, !torch.int) -> !torch.list<int>
%false_214 = torch.constant.bool false
%int1_215 = torch.constant.int 1
%811 = torch.aten.convolution %790, %798, %806, %809, %807, %808, %false_214, %810, %int1_215 : !torch.vtensor<[32,96,25,25],f32>, !torch.vtensor<[96,96,3,3],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%812 = torch.aten.relu %811 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%int3_216 = torch.constant.int 3
%int3_217 = torch.constant.int 3
%int1_218 = torch.constant.int 1
%int1_219 = torch.constant.int 1
%int1_220 = torch.constant.int 1
%int1_221 = torch.constant.int 1
%int1_222 = torch.constant.int 1
%int1_223 = torch.constant.int 1
%813 = torch.prim.ListConstruct %int3_216, %int3_217 : (!torch.int, !torch.int) -> !torch.list<int>
%814 = torch.prim.ListConstruct %int1_218, %int1_219, %int1_220, %int1_221 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
%815 = torch.prim.ListConstruct %int1_222, %int1_223 : (!torch.int, !torch.int) -> !torch.list<int>
%false_224 = torch.constant.bool false
%false_225 = torch.constant.bool false
%none_226 = torch.constant.none
%816 = torch.aten.avg_pool2d %656, %813, %815, %814, %false_224, %false_225, %none_226 : !torch.vtensor<[32,384,25,25],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[32,384,25,25],f32>
%817 = torch.aten.mul.Tensor %816, %308 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[32,384,25,25],f32>
%int12_227 = torch.constant.int 12
%818 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%819 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%820 = torch.aten.quantize_per_tensor %817, %818, %819, %int12_227 : !torch.vtensor<[32,384,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%821 = torch.aten.int_repr %820 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],si8>
%822 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%823 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%824 = torch.aten._make_per_tensor_quantized_tensor %821, %822, %823 : !torch.vtensor<[32,384,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%825 = torch.aten.dequantize.self %824 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],f32>
%int12_228 = torch.constant.int 12
%826 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%827 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%828 = torch.aten.quantize_per_tensor %34, %826, %827, %int12_228 : !torch.vtensor<[96,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,384,1,1],!torch.qint8>
%829 = torch.aten.int_repr %828 : !torch.vtensor<[96,384,1,1],!torch.qint8> -> !torch.vtensor<[96,384,1,1],si8>
%830 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%831 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%832 = torch.aten._make_per_tensor_quantized_tensor %829, %830, %831 : !torch.vtensor<[96,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,384,1,1],!torch.qint8>
%833 = torch.aten.dequantize.self %832 : !torch.vtensor<[96,384,1,1],!torch.qint8> -> !torch.vtensor<[96,384,1,1],f32>
%int12_229 = torch.constant.int 12
%834 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%835 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%836 = torch.aten.quantize_per_tensor %35, %834, %835, %int12_229 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%837 = torch.aten.int_repr %836 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%838 = torch.aten.item %303 : !torch.vtensor<[],f32> -> !torch.float
%839 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%840 = torch.aten._make_per_tensor_quantized_tensor %837, %838, %839 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%841 = torch.aten.dequantize.self %840 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int0_230 = torch.constant.int 0
%int0_231 = torch.constant.int 0
%int1_232 = torch.constant.int 1
%int1_233 = torch.constant.int 1
%int1_234 = torch.constant.int 1
%int1_235 = torch.constant.int 1
%int0_236 = torch.constant.int 0
%842 = torch.prim.ListConstruct %int0_230, %int0_231 : (!torch.int, !torch.int) -> !torch.list<int>
%843 = torch.prim.ListConstruct %int1_232, %int1_233 : (!torch.int, !torch.int) -> !torch.list<int>
%844 = torch.prim.ListConstruct %int1_234, %int1_235 : (!torch.int, !torch.int) -> !torch.list<int>
%845 = torch.prim.ListConstruct %int0_236, %int0_236 : (!torch.int, !torch.int) -> !torch.list<int>
%false_237 = torch.constant.bool false
%int1_238 = torch.constant.int 1
%846 = torch.aten.convolution %825, %833, %841, %844, %842, %843, %false_237, %845, %int1_238 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[96,384,1,1],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%847 = torch.aten.relu %846 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%848 = torch.prim.ListConstruct %678, %730, %812, %847 : (!torch.vtensor<[32,96,25,25],f32>, !torch.vtensor<[32,96,25,25],f32>, !torch.vtensor<[32,96,25,25],f32>, !torch.vtensor<[32,96,25,25],f32>) -> !torch.list<vtensor>
%int1_239 = torch.constant.int 1
%849 = torch.aten.cat %848, %int1_239 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,384,25,25],f32>
%int12_240 = torch.constant.int 12
%850 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%851 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%852 = torch.aten.quantize_per_tensor %849, %850, %851, %int12_240 : !torch.vtensor<[32,384,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%853 = torch.aten.int_repr %852 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],si8>
%854 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%855 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%856 = torch.aten._make_per_tensor_quantized_tensor %853, %854, %855 : !torch.vtensor<[32,384,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%857 = torch.aten.dequantize.self %856 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],f32>
%int12_241 = torch.constant.int 12
%858 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%859 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%860 = torch.aten.quantize_per_tensor %36, %858, %859, %int12_241 : !torch.vtensor<[96,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,384,1,1],!torch.qint8>
%861 = torch.aten.int_repr %860 : !torch.vtensor<[96,384,1,1],!torch.qint8> -> !torch.vtensor<[96,384,1,1],si8>
%862 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%863 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%864 = torch.aten._make_per_tensor_quantized_tensor %861, %862, %863 : !torch.vtensor<[96,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,384,1,1],!torch.qint8>
%865 = torch.aten.dequantize.self %864 : !torch.vtensor<[96,384,1,1],!torch.qint8> -> !torch.vtensor<[96,384,1,1],f32>
%int12_242 = torch.constant.int 12
%866 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%867 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%868 = torch.aten.quantize_per_tensor %37, %866, %867, %int12_242 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%869 = torch.aten.int_repr %868 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%870 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%871 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%872 = torch.aten._make_per_tensor_quantized_tensor %869, %870, %871 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%873 = torch.aten.dequantize.self %872 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int0_243 = torch.constant.int 0
%int0_244 = torch.constant.int 0
%int1_245 = torch.constant.int 1
%int1_246 = torch.constant.int 1
%int1_247 = torch.constant.int 1
%int1_248 = torch.constant.int 1
%int0_249 = torch.constant.int 0
%874 = torch.prim.ListConstruct %int0_243, %int0_244 : (!torch.int, !torch.int) -> !torch.list<int>
%875 = torch.prim.ListConstruct %int1_245, %int1_246 : (!torch.int, !torch.int) -> !torch.list<int>
%876 = torch.prim.ListConstruct %int1_247, %int1_248 : (!torch.int, !torch.int) -> !torch.list<int>
%877 = torch.prim.ListConstruct %int0_249, %int0_249 : (!torch.int, !torch.int) -> !torch.list<int>
%false_250 = torch.constant.bool false
%int1_251 = torch.constant.int 1
%878 = torch.aten.convolution %857, %865, %873, %876, %874, %875, %false_250, %877, %int1_251 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[96,384,1,1],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%879 = torch.aten.relu %878 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%int12_252 = torch.constant.int 12
%880 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%881 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%882 = torch.aten.quantize_per_tensor %38, %880, %881, %int12_252 : !torch.vtensor<[64,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,384,1,1],!torch.qint8>
%883 = torch.aten.int_repr %882 : !torch.vtensor<[64,384,1,1],!torch.qint8> -> !torch.vtensor<[64,384,1,1],si8>
%884 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%885 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%886 = torch.aten._make_per_tensor_quantized_tensor %883, %884, %885 : !torch.vtensor<[64,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,384,1,1],!torch.qint8>
%887 = torch.aten.dequantize.self %886 : !torch.vtensor<[64,384,1,1],!torch.qint8> -> !torch.vtensor<[64,384,1,1],f32>
%int12_253 = torch.constant.int 12
%888 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%889 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%890 = torch.aten.quantize_per_tensor %39, %888, %889, %int12_253 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%891 = torch.aten.int_repr %890 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
%892 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%893 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%894 = torch.aten._make_per_tensor_quantized_tensor %891, %892, %893 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%895 = torch.aten.dequantize.self %894 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
%int0_254 = torch.constant.int 0
%int0_255 = torch.constant.int 0
%int1_256 = torch.constant.int 1
%int1_257 = torch.constant.int 1
%int1_258 = torch.constant.int 1
%int1_259 = torch.constant.int 1
%int0_260 = torch.constant.int 0
%896 = torch.prim.ListConstruct %int0_254, %int0_255 : (!torch.int, !torch.int) -> !torch.list<int>
%897 = torch.prim.ListConstruct %int1_256, %int1_257 : (!torch.int, !torch.int) -> !torch.list<int>
%898 = torch.prim.ListConstruct %int1_258, %int1_259 : (!torch.int, !torch.int) -> !torch.list<int>
%899 = torch.prim.ListConstruct %int0_260, %int0_260 : (!torch.int, !torch.int) -> !torch.list<int>
%false_261 = torch.constant.bool false
%int1_262 = torch.constant.int 1
%900 = torch.aten.convolution %857, %887, %895, %898, %896, %897, %false_261, %899, %int1_262 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[64,384,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,64,25,25],f32>
%901 = torch.aten.relu %900 : !torch.vtensor<[32,64,25,25],f32> -> !torch.vtensor<[32,64,25,25],f32>
%int12_263 = torch.constant.int 12
%902 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%903 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%904 = torch.aten.quantize_per_tensor %901, %902, %903, %int12_263 : !torch.vtensor<[32,64,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,64,25,25],!torch.qint8>
%905 = torch.aten.int_repr %904 : !torch.vtensor<[32,64,25,25],!torch.qint8> -> !torch.vtensor<[32,64,25,25],si8>
%906 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%907 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%908 = torch.aten._make_per_tensor_quantized_tensor %905, %906, %907 : !torch.vtensor<[32,64,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,64,25,25],!torch.qint8>
%909 = torch.aten.dequantize.self %908 : !torch.vtensor<[32,64,25,25],!torch.qint8> -> !torch.vtensor<[32,64,25,25],f32>
%int12_264 = torch.constant.int 12
%910 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%911 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%912 = torch.aten.quantize_per_tensor %40, %910, %911, %int12_264 : !torch.vtensor<[96,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%913 = torch.aten.int_repr %912 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],si8>
%914 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%915 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%916 = torch.aten._make_per_tensor_quantized_tensor %913, %914, %915 : !torch.vtensor<[96,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%917 = torch.aten.dequantize.self %916 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],f32>
%int12_265 = torch.constant.int 12
%918 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%919 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%920 = torch.aten.quantize_per_tensor %41, %918, %919, %int12_265 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%921 = torch.aten.int_repr %920 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%922 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%923 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%924 = torch.aten._make_per_tensor_quantized_tensor %921, %922, %923 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%925 = torch.aten.dequantize.self %924 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int1_266 = torch.constant.int 1
%int1_267 = torch.constant.int 1
%int1_268 = torch.constant.int 1
%int1_269 = torch.constant.int 1
%int1_270 = torch.constant.int 1
%int1_271 = torch.constant.int 1
%int0_272 = torch.constant.int 0
%926 = torch.prim.ListConstruct %int1_266, %int1_267 : (!torch.int, !torch.int) -> !torch.list<int>
%927 = torch.prim.ListConstruct %int1_268, %int1_269 : (!torch.int, !torch.int) -> !torch.list<int>
%928 = torch.prim.ListConstruct %int1_270, %int1_271 : (!torch.int, !torch.int) -> !torch.list<int>
%929 = torch.prim.ListConstruct %int0_272, %int0_272 : (!torch.int, !torch.int) -> !torch.list<int>
%false_273 = torch.constant.bool false
%int1_274 = torch.constant.int 1
%930 = torch.aten.convolution %909, %917, %925, %928, %926, %927, %false_273, %929, %int1_274 : !torch.vtensor<[32,64,25,25],f32>, !torch.vtensor<[96,64,3,3],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%931 = torch.aten.relu %930 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%int12_275 = torch.constant.int 12
%932 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%933 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%934 = torch.aten.quantize_per_tensor %42, %932, %933, %int12_275 : !torch.vtensor<[64,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,384,1,1],!torch.qint8>
%935 = torch.aten.int_repr %934 : !torch.vtensor<[64,384,1,1],!torch.qint8> -> !torch.vtensor<[64,384,1,1],si8>
%936 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%937 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%938 = torch.aten._make_per_tensor_quantized_tensor %935, %936, %937 : !torch.vtensor<[64,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,384,1,1],!torch.qint8>
%939 = torch.aten.dequantize.self %938 : !torch.vtensor<[64,384,1,1],!torch.qint8> -> !torch.vtensor<[64,384,1,1],f32>
%int12_276 = torch.constant.int 12
%940 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%941 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%942 = torch.aten.quantize_per_tensor %43, %940, %941, %int12_276 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%943 = torch.aten.int_repr %942 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
%944 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%945 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%946 = torch.aten._make_per_tensor_quantized_tensor %943, %944, %945 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%947 = torch.aten.dequantize.self %946 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
%int0_277 = torch.constant.int 0
%int0_278 = torch.constant.int 0
%int1_279 = torch.constant.int 1
%int1_280 = torch.constant.int 1
%int1_281 = torch.constant.int 1
%int1_282 = torch.constant.int 1
%int0_283 = torch.constant.int 0
%948 = torch.prim.ListConstruct %int0_277, %int0_278 : (!torch.int, !torch.int) -> !torch.list<int>
%949 = torch.prim.ListConstruct %int1_279, %int1_280 : (!torch.int, !torch.int) -> !torch.list<int>
%950 = torch.prim.ListConstruct %int1_281, %int1_282 : (!torch.int, !torch.int) -> !torch.list<int>
%951 = torch.prim.ListConstruct %int0_283, %int0_283 : (!torch.int, !torch.int) -> !torch.list<int>
%false_284 = torch.constant.bool false
%int1_285 = torch.constant.int 1
%952 = torch.aten.convolution %857, %939, %947, %950, %948, %949, %false_284, %951, %int1_285 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[64,384,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,64,25,25],f32>
%953 = torch.aten.relu %952 : !torch.vtensor<[32,64,25,25],f32> -> !torch.vtensor<[32,64,25,25],f32>
%int12_286 = torch.constant.int 12
%954 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%955 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%956 = torch.aten.quantize_per_tensor %953, %954, %955, %int12_286 : !torch.vtensor<[32,64,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,64,25,25],!torch.qint8>
%957 = torch.aten.int_repr %956 : !torch.vtensor<[32,64,25,25],!torch.qint8> -> !torch.vtensor<[32,64,25,25],si8>
%958 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%959 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%960 = torch.aten._make_per_tensor_quantized_tensor %957, %958, %959 : !torch.vtensor<[32,64,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,64,25,25],!torch.qint8>
%961 = torch.aten.dequantize.self %960 : !torch.vtensor<[32,64,25,25],!torch.qint8> -> !torch.vtensor<[32,64,25,25],f32>
%int12_287 = torch.constant.int 12
%962 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%963 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%964 = torch.aten.quantize_per_tensor %44, %962, %963, %int12_287 : !torch.vtensor<[96,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%965 = torch.aten.int_repr %964 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],si8>
%966 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%967 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%968 = torch.aten._make_per_tensor_quantized_tensor %965, %966, %967 : !torch.vtensor<[96,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%969 = torch.aten.dequantize.self %968 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],f32>
%int12_288 = torch.constant.int 12
%970 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%971 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%972 = torch.aten.quantize_per_tensor %45, %970, %971, %int12_288 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%973 = torch.aten.int_repr %972 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%974 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%975 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%976 = torch.aten._make_per_tensor_quantized_tensor %973, %974, %975 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%977 = torch.aten.dequantize.self %976 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int1_289 = torch.constant.int 1
%int1_290 = torch.constant.int 1
%int1_291 = torch.constant.int 1
%int1_292 = torch.constant.int 1
%int1_293 = torch.constant.int 1
%int1_294 = torch.constant.int 1
%int0_295 = torch.constant.int 0
%978 = torch.prim.ListConstruct %int1_289, %int1_290 : (!torch.int, !torch.int) -> !torch.list<int>
%979 = torch.prim.ListConstruct %int1_291, %int1_292 : (!torch.int, !torch.int) -> !torch.list<int>
%980 = torch.prim.ListConstruct %int1_293, %int1_294 : (!torch.int, !torch.int) -> !torch.list<int>
%981 = torch.prim.ListConstruct %int0_295, %int0_295 : (!torch.int, !torch.int) -> !torch.list<int>
%false_296 = torch.constant.bool false
%int1_297 = torch.constant.int 1
%982 = torch.aten.convolution %961, %969, %977, %980, %978, %979, %false_296, %981, %int1_297 : !torch.vtensor<[32,64,25,25],f32>, !torch.vtensor<[96,64,3,3],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%983 = torch.aten.relu %982 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%int12_298 = torch.constant.int 12
%984 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%985 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%986 = torch.aten.quantize_per_tensor %983, %984, %985, %int12_298 : !torch.vtensor<[32,96,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,96,25,25],!torch.qint8>
%987 = torch.aten.int_repr %986 : !torch.vtensor<[32,96,25,25],!torch.qint8> -> !torch.vtensor<[32,96,25,25],si8>
%988 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%989 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%990 = torch.aten._make_per_tensor_quantized_tensor %987, %988, %989 : !torch.vtensor<[32,96,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,96,25,25],!torch.qint8>
%991 = torch.aten.dequantize.self %990 : !torch.vtensor<[32,96,25,25],!torch.qint8> -> !torch.vtensor<[32,96,25,25],f32>
%int12_299 = torch.constant.int 12
%992 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%993 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%994 = torch.aten.quantize_per_tensor %46, %992, %993, %int12_299 : !torch.vtensor<[96,96,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,96,3,3],!torch.qint8>
%995 = torch.aten.int_repr %994 : !torch.vtensor<[96,96,3,3],!torch.qint8> -> !torch.vtensor<[96,96,3,3],si8>
%996 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%997 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%998 = torch.aten._make_per_tensor_quantized_tensor %995, %996, %997 : !torch.vtensor<[96,96,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,96,3,3],!torch.qint8>
%999 = torch.aten.dequantize.self %998 : !torch.vtensor<[96,96,3,3],!torch.qint8> -> !torch.vtensor<[96,96,3,3],f32>
%int12_300 = torch.constant.int 12
%1000 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1001 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1002 = torch.aten.quantize_per_tensor %47, %1000, %1001, %int12_300 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1003 = torch.aten.int_repr %1002 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%1004 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1005 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1006 = torch.aten._make_per_tensor_quantized_tensor %1003, %1004, %1005 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1007 = torch.aten.dequantize.self %1006 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int1_301 = torch.constant.int 1
%int1_302 = torch.constant.int 1
%int1_303 = torch.constant.int 1
%int1_304 = torch.constant.int 1
%int1_305 = torch.constant.int 1
%int1_306 = torch.constant.int 1
%int0_307 = torch.constant.int 0
%1008 = torch.prim.ListConstruct %int1_301, %int1_302 : (!torch.int, !torch.int) -> !torch.list<int>
%1009 = torch.prim.ListConstruct %int1_303, %int1_304 : (!torch.int, !torch.int) -> !torch.list<int>
%1010 = torch.prim.ListConstruct %int1_305, %int1_306 : (!torch.int, !torch.int) -> !torch.list<int>
%1011 = torch.prim.ListConstruct %int0_307, %int0_307 : (!torch.int, !torch.int) -> !torch.list<int>
%false_308 = torch.constant.bool false
%int1_309 = torch.constant.int 1
%1012 = torch.aten.convolution %991, %999, %1007, %1010, %1008, %1009, %false_308, %1011, %int1_309 : !torch.vtensor<[32,96,25,25],f32>, !torch.vtensor<[96,96,3,3],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%1013 = torch.aten.relu %1012 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%int3_310 = torch.constant.int 3
%int3_311 = torch.constant.int 3
%int1_312 = torch.constant.int 1
%int1_313 = torch.constant.int 1
%int1_314 = torch.constant.int 1
%int1_315 = torch.constant.int 1
%int1_316 = torch.constant.int 1
%int1_317 = torch.constant.int 1
%1014 = torch.prim.ListConstruct %int3_310, %int3_311 : (!torch.int, !torch.int) -> !torch.list<int>
%1015 = torch.prim.ListConstruct %int1_312, %int1_313, %int1_314, %int1_315 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
%1016 = torch.prim.ListConstruct %int1_316, %int1_317 : (!torch.int, !torch.int) -> !torch.list<int>
%false_318 = torch.constant.bool false
%false_319 = torch.constant.bool false
%none_320 = torch.constant.none
%1017 = torch.aten.avg_pool2d %857, %1014, %1016, %1015, %false_318, %false_319, %none_320 : !torch.vtensor<[32,384,25,25],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[32,384,25,25],f32>
%1018 = torch.aten.mul.Tensor %1017, %308 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[32,384,25,25],f32>
%int12_321 = torch.constant.int 12
%1019 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1020 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1021 = torch.aten.quantize_per_tensor %1018, %1019, %1020, %int12_321 : !torch.vtensor<[32,384,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%1022 = torch.aten.int_repr %1021 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],si8>
%1023 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1024 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1025 = torch.aten._make_per_tensor_quantized_tensor %1022, %1023, %1024 : !torch.vtensor<[32,384,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%1026 = torch.aten.dequantize.self %1025 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],f32>
%int12_322 = torch.constant.int 12
%1027 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1028 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1029 = torch.aten.quantize_per_tensor %48, %1027, %1028, %int12_322 : !torch.vtensor<[96,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,384,1,1],!torch.qint8>
%1030 = torch.aten.int_repr %1029 : !torch.vtensor<[96,384,1,1],!torch.qint8> -> !torch.vtensor<[96,384,1,1],si8>
%1031 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1032 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1033 = torch.aten._make_per_tensor_quantized_tensor %1030, %1031, %1032 : !torch.vtensor<[96,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,384,1,1],!torch.qint8>
%1034 = torch.aten.dequantize.self %1033 : !torch.vtensor<[96,384,1,1],!torch.qint8> -> !torch.vtensor<[96,384,1,1],f32>
%int12_323 = torch.constant.int 12
%1035 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1036 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1037 = torch.aten.quantize_per_tensor %49, %1035, %1036, %int12_323 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1038 = torch.aten.int_repr %1037 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%1039 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1040 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1041 = torch.aten._make_per_tensor_quantized_tensor %1038, %1039, %1040 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1042 = torch.aten.dequantize.self %1041 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int0_324 = torch.constant.int 0
%int0_325 = torch.constant.int 0
%int1_326 = torch.constant.int 1
%int1_327 = torch.constant.int 1
%int1_328 = torch.constant.int 1
%int1_329 = torch.constant.int 1
%int0_330 = torch.constant.int 0
%1043 = torch.prim.ListConstruct %int0_324, %int0_325 : (!torch.int, !torch.int) -> !torch.list<int>
%1044 = torch.prim.ListConstruct %int1_326, %int1_327 : (!torch.int, !torch.int) -> !torch.list<int>
%1045 = torch.prim.ListConstruct %int1_328, %int1_329 : (!torch.int, !torch.int) -> !torch.list<int>
%1046 = torch.prim.ListConstruct %int0_330, %int0_330 : (!torch.int, !torch.int) -> !torch.list<int>
%false_331 = torch.constant.bool false
%int1_332 = torch.constant.int 1
%1047 = torch.aten.convolution %1026, %1034, %1042, %1045, %1043, %1044, %false_331, %1046, %int1_332 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[96,384,1,1],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%1048 = torch.aten.relu %1047 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%1049 = torch.prim.ListConstruct %879, %931, %1013, %1048 : (!torch.vtensor<[32,96,25,25],f32>, !torch.vtensor<[32,96,25,25],f32>, !torch.vtensor<[32,96,25,25],f32>, !torch.vtensor<[32,96,25,25],f32>) -> !torch.list<vtensor>
%int1_333 = torch.constant.int 1
%1050 = torch.aten.cat %1049, %int1_333 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,384,25,25],f32>
%int12_334 = torch.constant.int 12
%1051 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1052 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1053 = torch.aten.quantize_per_tensor %1050, %1051, %1052, %int12_334 : !torch.vtensor<[32,384,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%1054 = torch.aten.int_repr %1053 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],si8>
%1055 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1056 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1057 = torch.aten._make_per_tensor_quantized_tensor %1054, %1055, %1056 : !torch.vtensor<[32,384,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%1058 = torch.aten.dequantize.self %1057 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],f32>
%int12_335 = torch.constant.int 12
%1059 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1060 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1061 = torch.aten.quantize_per_tensor %50, %1059, %1060, %int12_335 : !torch.vtensor<[96,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,384,1,1],!torch.qint8>
%1062 = torch.aten.int_repr %1061 : !torch.vtensor<[96,384,1,1],!torch.qint8> -> !torch.vtensor<[96,384,1,1],si8>
%1063 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1064 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1065 = torch.aten._make_per_tensor_quantized_tensor %1062, %1063, %1064 : !torch.vtensor<[96,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,384,1,1],!torch.qint8>
%1066 = torch.aten.dequantize.self %1065 : !torch.vtensor<[96,384,1,1],!torch.qint8> -> !torch.vtensor<[96,384,1,1],f32>
%int12_336 = torch.constant.int 12
%1067 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1068 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1069 = torch.aten.quantize_per_tensor %51, %1067, %1068, %int12_336 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1070 = torch.aten.int_repr %1069 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%1071 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1072 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1073 = torch.aten._make_per_tensor_quantized_tensor %1070, %1071, %1072 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1074 = torch.aten.dequantize.self %1073 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int0_337 = torch.constant.int 0
%int0_338 = torch.constant.int 0
%int1_339 = torch.constant.int 1
%int1_340 = torch.constant.int 1
%int1_341 = torch.constant.int 1
%int1_342 = torch.constant.int 1
%int0_343 = torch.constant.int 0
%1075 = torch.prim.ListConstruct %int0_337, %int0_338 : (!torch.int, !torch.int) -> !torch.list<int>
%1076 = torch.prim.ListConstruct %int1_339, %int1_340 : (!torch.int, !torch.int) -> !torch.list<int>
%1077 = torch.prim.ListConstruct %int1_341, %int1_342 : (!torch.int, !torch.int) -> !torch.list<int>
%1078 = torch.prim.ListConstruct %int0_343, %int0_343 : (!torch.int, !torch.int) -> !torch.list<int>
%false_344 = torch.constant.bool false
%int1_345 = torch.constant.int 1
%1079 = torch.aten.convolution %1058, %1066, %1074, %1077, %1075, %1076, %false_344, %1078, %int1_345 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[96,384,1,1],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%1080 = torch.aten.relu %1079 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%int12_346 = torch.constant.int 12
%1081 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1082 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1083 = torch.aten.quantize_per_tensor %52, %1081, %1082, %int12_346 : !torch.vtensor<[64,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,384,1,1],!torch.qint8>
%1084 = torch.aten.int_repr %1083 : !torch.vtensor<[64,384,1,1],!torch.qint8> -> !torch.vtensor<[64,384,1,1],si8>
%1085 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1086 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1087 = torch.aten._make_per_tensor_quantized_tensor %1084, %1085, %1086 : !torch.vtensor<[64,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,384,1,1],!torch.qint8>
%1088 = torch.aten.dequantize.self %1087 : !torch.vtensor<[64,384,1,1],!torch.qint8> -> !torch.vtensor<[64,384,1,1],f32>
%int12_347 = torch.constant.int 12
%1089 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1090 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1091 = torch.aten.quantize_per_tensor %53, %1089, %1090, %int12_347 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%1092 = torch.aten.int_repr %1091 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
%1093 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1094 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1095 = torch.aten._make_per_tensor_quantized_tensor %1092, %1093, %1094 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%1096 = torch.aten.dequantize.self %1095 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
%int0_348 = torch.constant.int 0
%int0_349 = torch.constant.int 0
%int1_350 = torch.constant.int 1
%int1_351 = torch.constant.int 1
%int1_352 = torch.constant.int 1
%int1_353 = torch.constant.int 1
%int0_354 = torch.constant.int 0
%1097 = torch.prim.ListConstruct %int0_348, %int0_349 : (!torch.int, !torch.int) -> !torch.list<int>
%1098 = torch.prim.ListConstruct %int1_350, %int1_351 : (!torch.int, !torch.int) -> !torch.list<int>
%1099 = torch.prim.ListConstruct %int1_352, %int1_353 : (!torch.int, !torch.int) -> !torch.list<int>
%1100 = torch.prim.ListConstruct %int0_354, %int0_354 : (!torch.int, !torch.int) -> !torch.list<int>
%false_355 = torch.constant.bool false
%int1_356 = torch.constant.int 1
%1101 = torch.aten.convolution %1058, %1088, %1096, %1099, %1097, %1098, %false_355, %1100, %int1_356 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[64,384,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,64,25,25],f32>
%1102 = torch.aten.relu %1101 : !torch.vtensor<[32,64,25,25],f32> -> !torch.vtensor<[32,64,25,25],f32>
%int12_357 = torch.constant.int 12
%1103 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1104 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1105 = torch.aten.quantize_per_tensor %1102, %1103, %1104, %int12_357 : !torch.vtensor<[32,64,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,64,25,25],!torch.qint8>
%1106 = torch.aten.int_repr %1105 : !torch.vtensor<[32,64,25,25],!torch.qint8> -> !torch.vtensor<[32,64,25,25],si8>
%1107 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1108 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1109 = torch.aten._make_per_tensor_quantized_tensor %1106, %1107, %1108 : !torch.vtensor<[32,64,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,64,25,25],!torch.qint8>
%1110 = torch.aten.dequantize.self %1109 : !torch.vtensor<[32,64,25,25],!torch.qint8> -> !torch.vtensor<[32,64,25,25],f32>
%int12_358 = torch.constant.int 12
%1111 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1112 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1113 = torch.aten.quantize_per_tensor %54, %1111, %1112, %int12_358 : !torch.vtensor<[96,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%1114 = torch.aten.int_repr %1113 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],si8>
%1115 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1116 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1117 = torch.aten._make_per_tensor_quantized_tensor %1114, %1115, %1116 : !torch.vtensor<[96,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%1118 = torch.aten.dequantize.self %1117 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],f32>
%int12_359 = torch.constant.int 12
%1119 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1120 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1121 = torch.aten.quantize_per_tensor %55, %1119, %1120, %int12_359 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1122 = torch.aten.int_repr %1121 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%1123 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1124 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1125 = torch.aten._make_per_tensor_quantized_tensor %1122, %1123, %1124 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1126 = torch.aten.dequantize.self %1125 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int1_360 = torch.constant.int 1
%int1_361 = torch.constant.int 1
%int1_362 = torch.constant.int 1
%int1_363 = torch.constant.int 1
%int1_364 = torch.constant.int 1
%int1_365 = torch.constant.int 1
%int0_366 = torch.constant.int 0
%1127 = torch.prim.ListConstruct %int1_360, %int1_361 : (!torch.int, !torch.int) -> !torch.list<int>
%1128 = torch.prim.ListConstruct %int1_362, %int1_363 : (!torch.int, !torch.int) -> !torch.list<int>
%1129 = torch.prim.ListConstruct %int1_364, %int1_365 : (!torch.int, !torch.int) -> !torch.list<int>
%1130 = torch.prim.ListConstruct %int0_366, %int0_366 : (!torch.int, !torch.int) -> !torch.list<int>
%false_367 = torch.constant.bool false
%int1_368 = torch.constant.int 1
%1131 = torch.aten.convolution %1110, %1118, %1126, %1129, %1127, %1128, %false_367, %1130, %int1_368 : !torch.vtensor<[32,64,25,25],f32>, !torch.vtensor<[96,64,3,3],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%1132 = torch.aten.relu %1131 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%int12_369 = torch.constant.int 12
%1133 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1134 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1135 = torch.aten.quantize_per_tensor %56, %1133, %1134, %int12_369 : !torch.vtensor<[64,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,384,1,1],!torch.qint8>
%1136 = torch.aten.int_repr %1135 : !torch.vtensor<[64,384,1,1],!torch.qint8> -> !torch.vtensor<[64,384,1,1],si8>
%1137 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1138 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1139 = torch.aten._make_per_tensor_quantized_tensor %1136, %1137, %1138 : !torch.vtensor<[64,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,384,1,1],!torch.qint8>
%1140 = torch.aten.dequantize.self %1139 : !torch.vtensor<[64,384,1,1],!torch.qint8> -> !torch.vtensor<[64,384,1,1],f32>
%int12_370 = torch.constant.int 12
%1141 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1142 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1143 = torch.aten.quantize_per_tensor %57, %1141, %1142, %int12_370 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%1144 = torch.aten.int_repr %1143 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
%1145 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1146 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1147 = torch.aten._make_per_tensor_quantized_tensor %1144, %1145, %1146 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%1148 = torch.aten.dequantize.self %1147 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
%int0_371 = torch.constant.int 0
%int0_372 = torch.constant.int 0
%int1_373 = torch.constant.int 1
%int1_374 = torch.constant.int 1
%int1_375 = torch.constant.int 1
%int1_376 = torch.constant.int 1
%int0_377 = torch.constant.int 0
%1149 = torch.prim.ListConstruct %int0_371, %int0_372 : (!torch.int, !torch.int) -> !torch.list<int>
%1150 = torch.prim.ListConstruct %int1_373, %int1_374 : (!torch.int, !torch.int) -> !torch.list<int>
%1151 = torch.prim.ListConstruct %int1_375, %int1_376 : (!torch.int, !torch.int) -> !torch.list<int>
%1152 = torch.prim.ListConstruct %int0_377, %int0_377 : (!torch.int, !torch.int) -> !torch.list<int>
%false_378 = torch.constant.bool false
%int1_379 = torch.constant.int 1
%1153 = torch.aten.convolution %1058, %1140, %1148, %1151, %1149, %1150, %false_378, %1152, %int1_379 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[64,384,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,64,25,25],f32>
%1154 = torch.aten.relu %1153 : !torch.vtensor<[32,64,25,25],f32> -> !torch.vtensor<[32,64,25,25],f32>
%int12_380 = torch.constant.int 12
%1155 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1156 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1157 = torch.aten.quantize_per_tensor %1154, %1155, %1156, %int12_380 : !torch.vtensor<[32,64,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,64,25,25],!torch.qint8>
%1158 = torch.aten.int_repr %1157 : !torch.vtensor<[32,64,25,25],!torch.qint8> -> !torch.vtensor<[32,64,25,25],si8>
%1159 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1160 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1161 = torch.aten._make_per_tensor_quantized_tensor %1158, %1159, %1160 : !torch.vtensor<[32,64,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,64,25,25],!torch.qint8>
%1162 = torch.aten.dequantize.self %1161 : !torch.vtensor<[32,64,25,25],!torch.qint8> -> !torch.vtensor<[32,64,25,25],f32>
%int12_381 = torch.constant.int 12
%1163 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1164 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1165 = torch.aten.quantize_per_tensor %58, %1163, %1164, %int12_381 : !torch.vtensor<[96,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%1166 = torch.aten.int_repr %1165 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],si8>
%1167 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1168 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1169 = torch.aten._make_per_tensor_quantized_tensor %1166, %1167, %1168 : !torch.vtensor<[96,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%1170 = torch.aten.dequantize.self %1169 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],f32>
%int12_382 = torch.constant.int 12
%1171 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1172 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1173 = torch.aten.quantize_per_tensor %59, %1171, %1172, %int12_382 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1174 = torch.aten.int_repr %1173 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%1175 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1176 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1177 = torch.aten._make_per_tensor_quantized_tensor %1174, %1175, %1176 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1178 = torch.aten.dequantize.self %1177 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int1_383 = torch.constant.int 1
%int1_384 = torch.constant.int 1
%int1_385 = torch.constant.int 1
%int1_386 = torch.constant.int 1
%int1_387 = torch.constant.int 1
%int1_388 = torch.constant.int 1
%int0_389 = torch.constant.int 0
%1179 = torch.prim.ListConstruct %int1_383, %int1_384 : (!torch.int, !torch.int) -> !torch.list<int>
%1180 = torch.prim.ListConstruct %int1_385, %int1_386 : (!torch.int, !torch.int) -> !torch.list<int>
%1181 = torch.prim.ListConstruct %int1_387, %int1_388 : (!torch.int, !torch.int) -> !torch.list<int>
%1182 = torch.prim.ListConstruct %int0_389, %int0_389 : (!torch.int, !torch.int) -> !torch.list<int>
%false_390 = torch.constant.bool false
%int1_391 = torch.constant.int 1
%1183 = torch.aten.convolution %1162, %1170, %1178, %1181, %1179, %1180, %false_390, %1182, %int1_391 : !torch.vtensor<[32,64,25,25],f32>, !torch.vtensor<[96,64,3,3],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%1184 = torch.aten.relu %1183 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%int12_392 = torch.constant.int 12
%1185 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1186 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1187 = torch.aten.quantize_per_tensor %1184, %1185, %1186, %int12_392 : !torch.vtensor<[32,96,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,96,25,25],!torch.qint8>
%1188 = torch.aten.int_repr %1187 : !torch.vtensor<[32,96,25,25],!torch.qint8> -> !torch.vtensor<[32,96,25,25],si8>
%1189 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1190 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1191 = torch.aten._make_per_tensor_quantized_tensor %1188, %1189, %1190 : !torch.vtensor<[32,96,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,96,25,25],!torch.qint8>
%1192 = torch.aten.dequantize.self %1191 : !torch.vtensor<[32,96,25,25],!torch.qint8> -> !torch.vtensor<[32,96,25,25],f32>
%int12_393 = torch.constant.int 12
%1193 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1194 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1195 = torch.aten.quantize_per_tensor %60, %1193, %1194, %int12_393 : !torch.vtensor<[96,96,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,96,3,3],!torch.qint8>
%1196 = torch.aten.int_repr %1195 : !torch.vtensor<[96,96,3,3],!torch.qint8> -> !torch.vtensor<[96,96,3,3],si8>
%1197 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1198 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1199 = torch.aten._make_per_tensor_quantized_tensor %1196, %1197, %1198 : !torch.vtensor<[96,96,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,96,3,3],!torch.qint8>
%1200 = torch.aten.dequantize.self %1199 : !torch.vtensor<[96,96,3,3],!torch.qint8> -> !torch.vtensor<[96,96,3,3],f32>
%int12_394 = torch.constant.int 12
%1201 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1202 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1203 = torch.aten.quantize_per_tensor %61, %1201, %1202, %int12_394 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1204 = torch.aten.int_repr %1203 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%1205 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1206 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1207 = torch.aten._make_per_tensor_quantized_tensor %1204, %1205, %1206 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1208 = torch.aten.dequantize.self %1207 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int1_395 = torch.constant.int 1
%int1_396 = torch.constant.int 1
%int1_397 = torch.constant.int 1
%int1_398 = torch.constant.int 1
%int1_399 = torch.constant.int 1
%int1_400 = torch.constant.int 1
%int0_401 = torch.constant.int 0
%1209 = torch.prim.ListConstruct %int1_395, %int1_396 : (!torch.int, !torch.int) -> !torch.list<int>
%1210 = torch.prim.ListConstruct %int1_397, %int1_398 : (!torch.int, !torch.int) -> !torch.list<int>
%1211 = torch.prim.ListConstruct %int1_399, %int1_400 : (!torch.int, !torch.int) -> !torch.list<int>
%1212 = torch.prim.ListConstruct %int0_401, %int0_401 : (!torch.int, !torch.int) -> !torch.list<int>
%false_402 = torch.constant.bool false
%int1_403 = torch.constant.int 1
%1213 = torch.aten.convolution %1192, %1200, %1208, %1211, %1209, %1210, %false_402, %1212, %int1_403 : !torch.vtensor<[32,96,25,25],f32>, !torch.vtensor<[96,96,3,3],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%1214 = torch.aten.relu %1213 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%int3_404 = torch.constant.int 3
%int3_405 = torch.constant.int 3
%int1_406 = torch.constant.int 1
%int1_407 = torch.constant.int 1
%int1_408 = torch.constant.int 1
%int1_409 = torch.constant.int 1
%int1_410 = torch.constant.int 1
%int1_411 = torch.constant.int 1
%1215 = torch.prim.ListConstruct %int3_404, %int3_405 : (!torch.int, !torch.int) -> !torch.list<int>
%1216 = torch.prim.ListConstruct %int1_406, %int1_407, %int1_408, %int1_409 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
%1217 = torch.prim.ListConstruct %int1_410, %int1_411 : (!torch.int, !torch.int) -> !torch.list<int>
%false_412 = torch.constant.bool false
%false_413 = torch.constant.bool false
%none_414 = torch.constant.none
%1218 = torch.aten.avg_pool2d %1058, %1215, %1217, %1216, %false_412, %false_413, %none_414 : !torch.vtensor<[32,384,25,25],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[32,384,25,25],f32>
%1219 = torch.aten.mul.Tensor %1218, %308 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[32,384,25,25],f32>
%int12_415 = torch.constant.int 12
%1220 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1221 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1222 = torch.aten.quantize_per_tensor %1219, %1220, %1221, %int12_415 : !torch.vtensor<[32,384,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%1223 = torch.aten.int_repr %1222 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],si8>
%1224 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1225 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1226 = torch.aten._make_per_tensor_quantized_tensor %1223, %1224, %1225 : !torch.vtensor<[32,384,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%1227 = torch.aten.dequantize.self %1226 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],f32>
%int12_416 = torch.constant.int 12
%1228 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1229 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1230 = torch.aten.quantize_per_tensor %62, %1228, %1229, %int12_416 : !torch.vtensor<[96,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,384,1,1],!torch.qint8>
%1231 = torch.aten.int_repr %1230 : !torch.vtensor<[96,384,1,1],!torch.qint8> -> !torch.vtensor<[96,384,1,1],si8>
%1232 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1233 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1234 = torch.aten._make_per_tensor_quantized_tensor %1231, %1232, %1233 : !torch.vtensor<[96,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,384,1,1],!torch.qint8>
%1235 = torch.aten.dequantize.self %1234 : !torch.vtensor<[96,384,1,1],!torch.qint8> -> !torch.vtensor<[96,384,1,1],f32>
%int12_417 = torch.constant.int 12
%1236 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1237 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1238 = torch.aten.quantize_per_tensor %63, %1236, %1237, %int12_417 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1239 = torch.aten.int_repr %1238 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%1240 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1241 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1242 = torch.aten._make_per_tensor_quantized_tensor %1239, %1240, %1241 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1243 = torch.aten.dequantize.self %1242 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int0_418 = torch.constant.int 0
%int0_419 = torch.constant.int 0
%int1_420 = torch.constant.int 1
%int1_421 = torch.constant.int 1
%int1_422 = torch.constant.int 1
%int1_423 = torch.constant.int 1
%int0_424 = torch.constant.int 0
%1244 = torch.prim.ListConstruct %int0_418, %int0_419 : (!torch.int, !torch.int) -> !torch.list<int>
%1245 = torch.prim.ListConstruct %int1_420, %int1_421 : (!torch.int, !torch.int) -> !torch.list<int>
%1246 = torch.prim.ListConstruct %int1_422, %int1_423 : (!torch.int, !torch.int) -> !torch.list<int>
%1247 = torch.prim.ListConstruct %int0_424, %int0_424 : (!torch.int, !torch.int) -> !torch.list<int>
%false_425 = torch.constant.bool false
%int1_426 = torch.constant.int 1
%1248 = torch.aten.convolution %1227, %1235, %1243, %1246, %1244, %1245, %false_425, %1247, %int1_426 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[96,384,1,1],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%1249 = torch.aten.relu %1248 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%1250 = torch.prim.ListConstruct %1080, %1132, %1214, %1249 : (!torch.vtensor<[32,96,25,25],f32>, !torch.vtensor<[32,96,25,25],f32>, !torch.vtensor<[32,96,25,25],f32>, !torch.vtensor<[32,96,25,25],f32>) -> !torch.list<vtensor>
%int1_427 = torch.constant.int 1
%1251 = torch.aten.cat %1250, %int1_427 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,384,25,25],f32>
%int12_428 = torch.constant.int 12
%1252 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1253 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1254 = torch.aten.quantize_per_tensor %1251, %1252, %1253, %int12_428 : !torch.vtensor<[32,384,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%1255 = torch.aten.int_repr %1254 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],si8>
%1256 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1257 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1258 = torch.aten._make_per_tensor_quantized_tensor %1255, %1256, %1257 : !torch.vtensor<[32,384,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%1259 = torch.aten.dequantize.self %1258 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],f32>
%int12_429 = torch.constant.int 12
%1260 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1261 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1262 = torch.aten.quantize_per_tensor %64, %1260, %1261, %int12_429 : !torch.vtensor<[96,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,384,1,1],!torch.qint8>
%1263 = torch.aten.int_repr %1262 : !torch.vtensor<[96,384,1,1],!torch.qint8> -> !torch.vtensor<[96,384,1,1],si8>
%1264 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1265 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1266 = torch.aten._make_per_tensor_quantized_tensor %1263, %1264, %1265 : !torch.vtensor<[96,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,384,1,1],!torch.qint8>
%1267 = torch.aten.dequantize.self %1266 : !torch.vtensor<[96,384,1,1],!torch.qint8> -> !torch.vtensor<[96,384,1,1],f32>
%int12_430 = torch.constant.int 12
%1268 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1269 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1270 = torch.aten.quantize_per_tensor %65, %1268, %1269, %int12_430 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1271 = torch.aten.int_repr %1270 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%1272 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1273 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1274 = torch.aten._make_per_tensor_quantized_tensor %1271, %1272, %1273 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1275 = torch.aten.dequantize.self %1274 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int0_431 = torch.constant.int 0
%int0_432 = torch.constant.int 0
%int1_433 = torch.constant.int 1
%int1_434 = torch.constant.int 1
%int1_435 = torch.constant.int 1
%int1_436 = torch.constant.int 1
%int0_437 = torch.constant.int 0
%1276 = torch.prim.ListConstruct %int0_431, %int0_432 : (!torch.int, !torch.int) -> !torch.list<int>
%1277 = torch.prim.ListConstruct %int1_433, %int1_434 : (!torch.int, !torch.int) -> !torch.list<int>
%1278 = torch.prim.ListConstruct %int1_435, %int1_436 : (!torch.int, !torch.int) -> !torch.list<int>
%1279 = torch.prim.ListConstruct %int0_437, %int0_437 : (!torch.int, !torch.int) -> !torch.list<int>
%false_438 = torch.constant.bool false
%int1_439 = torch.constant.int 1
%1280 = torch.aten.convolution %1259, %1267, %1275, %1278, %1276, %1277, %false_438, %1279, %int1_439 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[96,384,1,1],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%1281 = torch.aten.relu %1280 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%int12_440 = torch.constant.int 12
%1282 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1283 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1284 = torch.aten.quantize_per_tensor %66, %1282, %1283, %int12_440 : !torch.vtensor<[64,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,384,1,1],!torch.qint8>
%1285 = torch.aten.int_repr %1284 : !torch.vtensor<[64,384,1,1],!torch.qint8> -> !torch.vtensor<[64,384,1,1],si8>
%1286 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1287 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1288 = torch.aten._make_per_tensor_quantized_tensor %1285, %1286, %1287 : !torch.vtensor<[64,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,384,1,1],!torch.qint8>
%1289 = torch.aten.dequantize.self %1288 : !torch.vtensor<[64,384,1,1],!torch.qint8> -> !torch.vtensor<[64,384,1,1],f32>
%int12_441 = torch.constant.int 12
%1290 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1291 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1292 = torch.aten.quantize_per_tensor %67, %1290, %1291, %int12_441 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%1293 = torch.aten.int_repr %1292 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
%1294 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1295 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1296 = torch.aten._make_per_tensor_quantized_tensor %1293, %1294, %1295 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%1297 = torch.aten.dequantize.self %1296 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
%int0_442 = torch.constant.int 0
%int0_443 = torch.constant.int 0
%int1_444 = torch.constant.int 1
%int1_445 = torch.constant.int 1
%int1_446 = torch.constant.int 1
%int1_447 = torch.constant.int 1
%int0_448 = torch.constant.int 0
%1298 = torch.prim.ListConstruct %int0_442, %int0_443 : (!torch.int, !torch.int) -> !torch.list<int>
%1299 = torch.prim.ListConstruct %int1_444, %int1_445 : (!torch.int, !torch.int) -> !torch.list<int>
%1300 = torch.prim.ListConstruct %int1_446, %int1_447 : (!torch.int, !torch.int) -> !torch.list<int>
%1301 = torch.prim.ListConstruct %int0_448, %int0_448 : (!torch.int, !torch.int) -> !torch.list<int>
%false_449 = torch.constant.bool false
%int1_450 = torch.constant.int 1
%1302 = torch.aten.convolution %1259, %1289, %1297, %1300, %1298, %1299, %false_449, %1301, %int1_450 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[64,384,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,64,25,25],f32>
%1303 = torch.aten.relu %1302 : !torch.vtensor<[32,64,25,25],f32> -> !torch.vtensor<[32,64,25,25],f32>
%int12_451 = torch.constant.int 12
%1304 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1305 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1306 = torch.aten.quantize_per_tensor %1303, %1304, %1305, %int12_451 : !torch.vtensor<[32,64,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,64,25,25],!torch.qint8>
%1307 = torch.aten.int_repr %1306 : !torch.vtensor<[32,64,25,25],!torch.qint8> -> !torch.vtensor<[32,64,25,25],si8>
%1308 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1309 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1310 = torch.aten._make_per_tensor_quantized_tensor %1307, %1308, %1309 : !torch.vtensor<[32,64,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,64,25,25],!torch.qint8>
%1311 = torch.aten.dequantize.self %1310 : !torch.vtensor<[32,64,25,25],!torch.qint8> -> !torch.vtensor<[32,64,25,25],f32>
%int12_452 = torch.constant.int 12
%1312 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1313 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1314 = torch.aten.quantize_per_tensor %68, %1312, %1313, %int12_452 : !torch.vtensor<[96,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%1315 = torch.aten.int_repr %1314 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],si8>
%1316 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1317 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1318 = torch.aten._make_per_tensor_quantized_tensor %1315, %1316, %1317 : !torch.vtensor<[96,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%1319 = torch.aten.dequantize.self %1318 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],f32>
%int12_453 = torch.constant.int 12
%1320 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1321 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1322 = torch.aten.quantize_per_tensor %69, %1320, %1321, %int12_453 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1323 = torch.aten.int_repr %1322 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%1324 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1325 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1326 = torch.aten._make_per_tensor_quantized_tensor %1323, %1324, %1325 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1327 = torch.aten.dequantize.self %1326 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int1_454 = torch.constant.int 1
%int1_455 = torch.constant.int 1
%int1_456 = torch.constant.int 1
%int1_457 = torch.constant.int 1
%int1_458 = torch.constant.int 1
%int1_459 = torch.constant.int 1
%int0_460 = torch.constant.int 0
%1328 = torch.prim.ListConstruct %int1_454, %int1_455 : (!torch.int, !torch.int) -> !torch.list<int>
%1329 = torch.prim.ListConstruct %int1_456, %int1_457 : (!torch.int, !torch.int) -> !torch.list<int>
%1330 = torch.prim.ListConstruct %int1_458, %int1_459 : (!torch.int, !torch.int) -> !torch.list<int>
%1331 = torch.prim.ListConstruct %int0_460, %int0_460 : (!torch.int, !torch.int) -> !torch.list<int>
%false_461 = torch.constant.bool false
%int1_462 = torch.constant.int 1
%1332 = torch.aten.convolution %1311, %1319, %1327, %1330, %1328, %1329, %false_461, %1331, %int1_462 : !torch.vtensor<[32,64,25,25],f32>, !torch.vtensor<[96,64,3,3],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%1333 = torch.aten.relu %1332 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%int12_463 = torch.constant.int 12
%1334 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1335 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1336 = torch.aten.quantize_per_tensor %70, %1334, %1335, %int12_463 : !torch.vtensor<[64,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64,384,1,1],!torch.qint8>
%1337 = torch.aten.int_repr %1336 : !torch.vtensor<[64,384,1,1],!torch.qint8> -> !torch.vtensor<[64,384,1,1],si8>
%1338 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1339 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1340 = torch.aten._make_per_tensor_quantized_tensor %1337, %1338, %1339 : !torch.vtensor<[64,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[64,384,1,1],!torch.qint8>
%1341 = torch.aten.dequantize.self %1340 : !torch.vtensor<[64,384,1,1],!torch.qint8> -> !torch.vtensor<[64,384,1,1],f32>
%int12_464 = torch.constant.int 12
%1342 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1343 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1344 = torch.aten.quantize_per_tensor %71, %1342, %1343, %int12_464 : !torch.vtensor<[64],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%1345 = torch.aten.int_repr %1344 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],si8>
%1346 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1347 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1348 = torch.aten._make_per_tensor_quantized_tensor %1345, %1346, %1347 : !torch.vtensor<[64],si8>, !torch.float, !torch.int -> !torch.vtensor<[64],!torch.qint8>
%1349 = torch.aten.dequantize.self %1348 : !torch.vtensor<[64],!torch.qint8> -> !torch.vtensor<[64],f32>
%int0_465 = torch.constant.int 0
%int0_466 = torch.constant.int 0
%int1_467 = torch.constant.int 1
%int1_468 = torch.constant.int 1
%int1_469 = torch.constant.int 1
%int1_470 = torch.constant.int 1
%int0_471 = torch.constant.int 0
%1350 = torch.prim.ListConstruct %int0_465, %int0_466 : (!torch.int, !torch.int) -> !torch.list<int>
%1351 = torch.prim.ListConstruct %int1_467, %int1_468 : (!torch.int, !torch.int) -> !torch.list<int>
%1352 = torch.prim.ListConstruct %int1_469, %int1_470 : (!torch.int, !torch.int) -> !torch.list<int>
%1353 = torch.prim.ListConstruct %int0_471, %int0_471 : (!torch.int, !torch.int) -> !torch.list<int>
%false_472 = torch.constant.bool false
%int1_473 = torch.constant.int 1
%1354 = torch.aten.convolution %1259, %1341, %1349, %1352, %1350, %1351, %false_472, %1353, %int1_473 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[64,384,1,1],f32>, !torch.vtensor<[64],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,64,25,25],f32>
%1355 = torch.aten.relu %1354 : !torch.vtensor<[32,64,25,25],f32> -> !torch.vtensor<[32,64,25,25],f32>
%int12_474 = torch.constant.int 12
%1356 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1357 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1358 = torch.aten.quantize_per_tensor %1355, %1356, %1357, %int12_474 : !torch.vtensor<[32,64,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,64,25,25],!torch.qint8>
%1359 = torch.aten.int_repr %1358 : !torch.vtensor<[32,64,25,25],!torch.qint8> -> !torch.vtensor<[32,64,25,25],si8>
%1360 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1361 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1362 = torch.aten._make_per_tensor_quantized_tensor %1359, %1360, %1361 : !torch.vtensor<[32,64,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,64,25,25],!torch.qint8>
%1363 = torch.aten.dequantize.self %1362 : !torch.vtensor<[32,64,25,25],!torch.qint8> -> !torch.vtensor<[32,64,25,25],f32>
%int12_475 = torch.constant.int 12
%1364 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1365 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1366 = torch.aten.quantize_per_tensor %72, %1364, %1365, %int12_475 : !torch.vtensor<[96,64,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%1367 = torch.aten.int_repr %1366 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],si8>
%1368 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1369 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1370 = torch.aten._make_per_tensor_quantized_tensor %1367, %1368, %1369 : !torch.vtensor<[96,64,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,64,3,3],!torch.qint8>
%1371 = torch.aten.dequantize.self %1370 : !torch.vtensor<[96,64,3,3],!torch.qint8> -> !torch.vtensor<[96,64,3,3],f32>
%int12_476 = torch.constant.int 12
%1372 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1373 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1374 = torch.aten.quantize_per_tensor %73, %1372, %1373, %int12_476 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1375 = torch.aten.int_repr %1374 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%1376 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1377 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1378 = torch.aten._make_per_tensor_quantized_tensor %1375, %1376, %1377 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1379 = torch.aten.dequantize.self %1378 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int1_477 = torch.constant.int 1
%int1_478 = torch.constant.int 1
%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
%1380 = torch.prim.ListConstruct %int1_477, %int1_478 : (!torch.int, !torch.int) -> !torch.list<int>
%1381 = torch.prim.ListConstruct %int1_479, %int1_480 : (!torch.int, !torch.int) -> !torch.list<int>
%1382 = torch.prim.ListConstruct %int1_481, %int1_482 : (!torch.int, !torch.int) -> !torch.list<int>
%1383 = 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
%1384 = torch.aten.convolution %1363, %1371, %1379, %1382, %1380, %1381, %false_484, %1383, %int1_485 : !torch.vtensor<[32,64,25,25],f32>, !torch.vtensor<[96,64,3,3],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%1385 = torch.aten.relu %1384 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%int12_486 = torch.constant.int 12
%1386 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1387 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1388 = torch.aten.quantize_per_tensor %1385, %1386, %1387, %int12_486 : !torch.vtensor<[32,96,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,96,25,25],!torch.qint8>
%1389 = torch.aten.int_repr %1388 : !torch.vtensor<[32,96,25,25],!torch.qint8> -> !torch.vtensor<[32,96,25,25],si8>
%1390 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1391 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1392 = torch.aten._make_per_tensor_quantized_tensor %1389, %1390, %1391 : !torch.vtensor<[32,96,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,96,25,25],!torch.qint8>
%1393 = torch.aten.dequantize.self %1392 : !torch.vtensor<[32,96,25,25],!torch.qint8> -> !torch.vtensor<[32,96,25,25],f32>
%int12_487 = torch.constant.int 12
%1394 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1395 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1396 = torch.aten.quantize_per_tensor %74, %1394, %1395, %int12_487 : !torch.vtensor<[96,96,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,96,3,3],!torch.qint8>
%1397 = torch.aten.int_repr %1396 : !torch.vtensor<[96,96,3,3],!torch.qint8> -> !torch.vtensor<[96,96,3,3],si8>
%1398 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1399 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1400 = torch.aten._make_per_tensor_quantized_tensor %1397, %1398, %1399 : !torch.vtensor<[96,96,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,96,3,3],!torch.qint8>
%1401 = torch.aten.dequantize.self %1400 : !torch.vtensor<[96,96,3,3],!torch.qint8> -> !torch.vtensor<[96,96,3,3],f32>
%int12_488 = torch.constant.int 12
%1402 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1403 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1404 = torch.aten.quantize_per_tensor %75, %1402, %1403, %int12_488 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1405 = torch.aten.int_repr %1404 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%1406 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1407 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1408 = torch.aten._make_per_tensor_quantized_tensor %1405, %1406, %1407 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1409 = torch.aten.dequantize.self %1408 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int1_489 = torch.constant.int 1
%int1_490 = torch.constant.int 1
%int1_491 = torch.constant.int 1
%int1_492 = torch.constant.int 1
%int1_493 = torch.constant.int 1
%int1_494 = torch.constant.int 1
%int0_495 = torch.constant.int 0
%1410 = torch.prim.ListConstruct %int1_489, %int1_490 : (!torch.int, !torch.int) -> !torch.list<int>
%1411 = torch.prim.ListConstruct %int1_491, %int1_492 : (!torch.int, !torch.int) -> !torch.list<int>
%1412 = torch.prim.ListConstruct %int1_493, %int1_494 : (!torch.int, !torch.int) -> !torch.list<int>
%1413 = torch.prim.ListConstruct %int0_495, %int0_495 : (!torch.int, !torch.int) -> !torch.list<int>
%false_496 = torch.constant.bool false
%int1_497 = torch.constant.int 1
%1414 = torch.aten.convolution %1393, %1401, %1409, %1412, %1410, %1411, %false_496, %1413, %int1_497 : !torch.vtensor<[32,96,25,25],f32>, !torch.vtensor<[96,96,3,3],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%1415 = torch.aten.relu %1414 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%int3_498 = torch.constant.int 3
%int3_499 = torch.constant.int 3
%int1_500 = torch.constant.int 1
%int1_501 = torch.constant.int 1
%int1_502 = torch.constant.int 1
%int1_503 = torch.constant.int 1
%int1_504 = torch.constant.int 1
%int1_505 = torch.constant.int 1
%1416 = torch.prim.ListConstruct %int3_498, %int3_499 : (!torch.int, !torch.int) -> !torch.list<int>
%1417 = torch.prim.ListConstruct %int1_500, %int1_501, %int1_502, %int1_503 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
%1418 = torch.prim.ListConstruct %int1_504, %int1_505 : (!torch.int, !torch.int) -> !torch.list<int>
%false_506 = torch.constant.bool false
%false_507 = torch.constant.bool false
%none_508 = torch.constant.none
%1419 = torch.aten.avg_pool2d %1259, %1416, %1418, %1417, %false_506, %false_507, %none_508 : !torch.vtensor<[32,384,25,25],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[32,384,25,25],f32>
%1420 = torch.aten.mul.Tensor %1419, %308 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[32,384,25,25],f32>
%int12_509 = torch.constant.int 12
%1421 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1422 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1423 = torch.aten.quantize_per_tensor %1420, %1421, %1422, %int12_509 : !torch.vtensor<[32,384,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%1424 = torch.aten.int_repr %1423 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],si8>
%1425 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1426 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1427 = torch.aten._make_per_tensor_quantized_tensor %1424, %1425, %1426 : !torch.vtensor<[32,384,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%1428 = torch.aten.dequantize.self %1427 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],f32>
%int12_510 = torch.constant.int 12
%1429 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1430 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1431 = torch.aten.quantize_per_tensor %76, %1429, %1430, %int12_510 : !torch.vtensor<[96,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96,384,1,1],!torch.qint8>
%1432 = torch.aten.int_repr %1431 : !torch.vtensor<[96,384,1,1],!torch.qint8> -> !torch.vtensor<[96,384,1,1],si8>
%1433 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1434 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1435 = torch.aten._make_per_tensor_quantized_tensor %1432, %1433, %1434 : !torch.vtensor<[96,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[96,384,1,1],!torch.qint8>
%1436 = torch.aten.dequantize.self %1435 : !torch.vtensor<[96,384,1,1],!torch.qint8> -> !torch.vtensor<[96,384,1,1],f32>
%int12_511 = torch.constant.int 12
%1437 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1438 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1439 = torch.aten.quantize_per_tensor %77, %1437, %1438, %int12_511 : !torch.vtensor<[96],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1440 = torch.aten.int_repr %1439 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],si8>
%1441 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1442 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1443 = torch.aten._make_per_tensor_quantized_tensor %1440, %1441, %1442 : !torch.vtensor<[96],si8>, !torch.float, !torch.int -> !torch.vtensor<[96],!torch.qint8>
%1444 = torch.aten.dequantize.self %1443 : !torch.vtensor<[96],!torch.qint8> -> !torch.vtensor<[96],f32>
%int0_512 = torch.constant.int 0
%int0_513 = torch.constant.int 0
%int1_514 = torch.constant.int 1
%int1_515 = torch.constant.int 1
%int1_516 = torch.constant.int 1
%int1_517 = torch.constant.int 1
%int0_518 = torch.constant.int 0
%1445 = torch.prim.ListConstruct %int0_512, %int0_513 : (!torch.int, !torch.int) -> !torch.list<int>
%1446 = torch.prim.ListConstruct %int1_514, %int1_515 : (!torch.int, !torch.int) -> !torch.list<int>
%1447 = torch.prim.ListConstruct %int1_516, %int1_517 : (!torch.int, !torch.int) -> !torch.list<int>
%1448 = torch.prim.ListConstruct %int0_518, %int0_518 : (!torch.int, !torch.int) -> !torch.list<int>
%false_519 = torch.constant.bool false
%int1_520 = torch.constant.int 1
%1449 = torch.aten.convolution %1428, %1436, %1444, %1447, %1445, %1446, %false_519, %1448, %int1_520 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[96,384,1,1],f32>, !torch.vtensor<[96],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,96,25,25],f32>
%1450 = torch.aten.relu %1449 : !torch.vtensor<[32,96,25,25],f32> -> !torch.vtensor<[32,96,25,25],f32>
%1451 = torch.prim.ListConstruct %1281, %1333, %1415, %1450 : (!torch.vtensor<[32,96,25,25],f32>, !torch.vtensor<[32,96,25,25],f32>, !torch.vtensor<[32,96,25,25],f32>, !torch.vtensor<[32,96,25,25],f32>) -> !torch.list<vtensor>
%int1_521 = torch.constant.int 1
%1452 = torch.aten.cat %1451, %int1_521 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,384,25,25],f32>
%int12_522 = torch.constant.int 12
%1453 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1454 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1455 = torch.aten.quantize_per_tensor %1452, %1453, %1454, %int12_522 : !torch.vtensor<[32,384,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%1456 = torch.aten.int_repr %1455 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],si8>
%1457 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1458 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1459 = torch.aten._make_per_tensor_quantized_tensor %1456, %1457, %1458 : !torch.vtensor<[32,384,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,384,25,25],!torch.qint8>
%1460 = torch.aten.dequantize.self %1459 : !torch.vtensor<[32,384,25,25],!torch.qint8> -> !torch.vtensor<[32,384,25,25],f32>
%int12_523 = torch.constant.int 12
%1461 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%1462 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1463 = torch.aten.quantize_per_tensor %78, %1461, %1462, %int12_523 : !torch.vtensor<[384,384,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384,384,3,3],!torch.qint8>
%1464 = torch.aten.int_repr %1463 : !torch.vtensor<[384,384,3,3],!torch.qint8> -> !torch.vtensor<[384,384,3,3],si8>
%1465 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%1466 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1467 = torch.aten._make_per_tensor_quantized_tensor %1464, %1465, %1466 : !torch.vtensor<[384,384,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[384,384,3,3],!torch.qint8>
%1468 = torch.aten.dequantize.self %1467 : !torch.vtensor<[384,384,3,3],!torch.qint8> -> !torch.vtensor<[384,384,3,3],f32>
%int12_524 = torch.constant.int 12
%1469 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1470 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1471 = torch.aten.quantize_per_tensor %79, %1469, %1470, %int12_524 : !torch.vtensor<[384],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%1472 = torch.aten.int_repr %1471 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],si8>
%1473 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1474 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1475 = torch.aten._make_per_tensor_quantized_tensor %1472, %1473, %1474 : !torch.vtensor<[384],si8>, !torch.float, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%1476 = torch.aten.dequantize.self %1475 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],f32>
%int0_525 = torch.constant.int 0
%int0_526 = torch.constant.int 0
%int1_527 = torch.constant.int 1
%int1_528 = torch.constant.int 1
%int2_529 = torch.constant.int 2
%int2_530 = torch.constant.int 2
%int0_531 = torch.constant.int 0
%1477 = torch.prim.ListConstruct %int0_525, %int0_526 : (!torch.int, !torch.int) -> !torch.list<int>
%1478 = torch.prim.ListConstruct %int1_527, %int1_528 : (!torch.int, !torch.int) -> !torch.list<int>
%1479 = torch.prim.ListConstruct %int2_529, %int2_530 : (!torch.int, !torch.int) -> !torch.list<int>
%1480 = torch.prim.ListConstruct %int0_531, %int0_531 : (!torch.int, !torch.int) -> !torch.list<int>
%false_532 = torch.constant.bool false
%int1_533 = torch.constant.int 1
%1481 = torch.aten.convolution %1460, %1468, %1476, %1479, %1477, %1478, %false_532, %1480, %int1_533 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[384,384,3,3],f32>, !torch.vtensor<[384],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,384,12,12],f32>
%1482 = torch.aten.relu %1481 : !torch.vtensor<[32,384,12,12],f32> -> !torch.vtensor<[32,384,12,12],f32>
%int12_534 = torch.constant.int 12
%1483 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1484 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1485 = torch.aten.quantize_per_tensor %80, %1483, %1484, %int12_534 : !torch.vtensor<[192,384,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,384,1,1],!torch.qint8>
%1486 = torch.aten.int_repr %1485 : !torch.vtensor<[192,384,1,1],!torch.qint8> -> !torch.vtensor<[192,384,1,1],si8>
%1487 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1488 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1489 = torch.aten._make_per_tensor_quantized_tensor %1486, %1487, %1488 : !torch.vtensor<[192,384,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,384,1,1],!torch.qint8>
%1490 = torch.aten.dequantize.self %1489 : !torch.vtensor<[192,384,1,1],!torch.qint8> -> !torch.vtensor<[192,384,1,1],f32>
%int12_535 = torch.constant.int 12
%1491 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1492 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1493 = torch.aten.quantize_per_tensor %81, %1491, %1492, %int12_535 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%1494 = torch.aten.int_repr %1493 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%1495 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1496 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1497 = torch.aten._make_per_tensor_quantized_tensor %1494, %1495, %1496 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%1498 = torch.aten.dequantize.self %1497 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_536 = torch.constant.int 0
%int0_537 = torch.constant.int 0
%int1_538 = torch.constant.int 1
%int1_539 = torch.constant.int 1
%int1_540 = torch.constant.int 1
%int1_541 = torch.constant.int 1
%int0_542 = torch.constant.int 0
%1499 = torch.prim.ListConstruct %int0_536, %int0_537 : (!torch.int, !torch.int) -> !torch.list<int>
%1500 = torch.prim.ListConstruct %int1_538, %int1_539 : (!torch.int, !torch.int) -> !torch.list<int>
%1501 = torch.prim.ListConstruct %int1_540, %int1_541 : (!torch.int, !torch.int) -> !torch.list<int>
%1502 = torch.prim.ListConstruct %int0_542, %int0_542 : (!torch.int, !torch.int) -> !torch.list<int>
%false_543 = torch.constant.bool false
%int1_544 = torch.constant.int 1
%1503 = torch.aten.convolution %1460, %1490, %1498, %1501, %1499, %1500, %false_543, %1502, %int1_544 : !torch.vtensor<[32,384,25,25],f32>, !torch.vtensor<[192,384,1,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,25,25],f32>
%1504 = torch.aten.relu %1503 : !torch.vtensor<[32,192,25,25],f32> -> !torch.vtensor<[32,192,25,25],f32>
%int12_545 = torch.constant.int 12
%1505 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1506 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1507 = torch.aten.quantize_per_tensor %1504, %1505, %1506, %int12_545 : !torch.vtensor<[32,192,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,25,25],!torch.qint8>
%1508 = torch.aten.int_repr %1507 : !torch.vtensor<[32,192,25,25],!torch.qint8> -> !torch.vtensor<[32,192,25,25],si8>
%1509 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1510 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1511 = torch.aten._make_per_tensor_quantized_tensor %1508, %1509, %1510 : !torch.vtensor<[32,192,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,25,25],!torch.qint8>
%1512 = torch.aten.dequantize.self %1511 : !torch.vtensor<[32,192,25,25],!torch.qint8> -> !torch.vtensor<[32,192,25,25],f32>
%int12_546 = torch.constant.int 12
%1513 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%1514 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1515 = torch.aten.quantize_per_tensor %82, %1513, %1514, %int12_546 : !torch.vtensor<[224,192,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,192,3,3],!torch.qint8>
%1516 = torch.aten.int_repr %1515 : !torch.vtensor<[224,192,3,3],!torch.qint8> -> !torch.vtensor<[224,192,3,3],si8>
%1517 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%1518 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1519 = torch.aten._make_per_tensor_quantized_tensor %1516, %1517, %1518 : !torch.vtensor<[224,192,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,192,3,3],!torch.qint8>
%1520 = torch.aten.dequantize.self %1519 : !torch.vtensor<[224,192,3,3],!torch.qint8> -> !torch.vtensor<[224,192,3,3],f32>
%int12_547 = torch.constant.int 12
%1521 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1522 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1523 = torch.aten.quantize_per_tensor %83, %1521, %1522, %int12_547 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%1524 = torch.aten.int_repr %1523 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%1525 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1526 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1527 = torch.aten._make_per_tensor_quantized_tensor %1524, %1525, %1526 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%1528 = torch.aten.dequantize.self %1527 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int1_548 = torch.constant.int 1
%int1_549 = torch.constant.int 1
%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
%1529 = torch.prim.ListConstruct %int1_548, %int1_549 : (!torch.int, !torch.int) -> !torch.list<int>
%1530 = torch.prim.ListConstruct %int1_550, %int1_551 : (!torch.int, !torch.int) -> !torch.list<int>
%1531 = torch.prim.ListConstruct %int1_552, %int1_553 : (!torch.int, !torch.int) -> !torch.list<int>
%1532 = 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
%1533 = torch.aten.convolution %1512, %1520, %1528, %1531, %1529, %1530, %false_555, %1532, %int1_556 : !torch.vtensor<[32,192,25,25],f32>, !torch.vtensor<[224,192,3,3],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,25,25],f32>
%1534 = torch.aten.relu %1533 : !torch.vtensor<[32,224,25,25],f32> -> !torch.vtensor<[32,224,25,25],f32>
%int12_557 = torch.constant.int 12
%1535 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1536 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1537 = torch.aten.quantize_per_tensor %1534, %1535, %1536, %int12_557 : !torch.vtensor<[32,224,25,25],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,25,25],!torch.qint8>
%1538 = torch.aten.int_repr %1537 : !torch.vtensor<[32,224,25,25],!torch.qint8> -> !torch.vtensor<[32,224,25,25],si8>
%1539 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1540 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1541 = torch.aten._make_per_tensor_quantized_tensor %1538, %1539, %1540 : !torch.vtensor<[32,224,25,25],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,25,25],!torch.qint8>
%1542 = torch.aten.dequantize.self %1541 : !torch.vtensor<[32,224,25,25],!torch.qint8> -> !torch.vtensor<[32,224,25,25],f32>
%int12_558 = torch.constant.int 12
%1543 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1544 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1545 = torch.aten.quantize_per_tensor %84, %1543, %1544, %int12_558 : !torch.vtensor<[256,224,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,224,3,3],!torch.qint8>
%1546 = torch.aten.int_repr %1545 : !torch.vtensor<[256,224,3,3],!torch.qint8> -> !torch.vtensor<[256,224,3,3],si8>
%1547 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1548 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1549 = torch.aten._make_per_tensor_quantized_tensor %1546, %1547, %1548 : !torch.vtensor<[256,224,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,224,3,3],!torch.qint8>
%1550 = torch.aten.dequantize.self %1549 : !torch.vtensor<[256,224,3,3],!torch.qint8> -> !torch.vtensor<[256,224,3,3],f32>
%int12_559 = torch.constant.int 12
%1551 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1552 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1553 = torch.aten.quantize_per_tensor %85, %1551, %1552, %int12_559 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%1554 = torch.aten.int_repr %1553 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%1555 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1556 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1557 = torch.aten._make_per_tensor_quantized_tensor %1554, %1555, %1556 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%1558 = torch.aten.dequantize.self %1557 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_560 = torch.constant.int 0
%int0_561 = torch.constant.int 0
%int1_562 = torch.constant.int 1
%int1_563 = torch.constant.int 1
%int2_564 = torch.constant.int 2
%int2_565 = torch.constant.int 2
%int0_566 = torch.constant.int 0
%1559 = torch.prim.ListConstruct %int0_560, %int0_561 : (!torch.int, !torch.int) -> !torch.list<int>
%1560 = torch.prim.ListConstruct %int1_562, %int1_563 : (!torch.int, !torch.int) -> !torch.list<int>
%1561 = torch.prim.ListConstruct %int2_564, %int2_565 : (!torch.int, !torch.int) -> !torch.list<int>
%1562 = torch.prim.ListConstruct %int0_566, %int0_566 : (!torch.int, !torch.int) -> !torch.list<int>
%false_567 = torch.constant.bool false
%int1_568 = torch.constant.int 1
%1563 = torch.aten.convolution %1542, %1550, %1558, %1561, %1559, %1560, %false_567, %1562, %int1_568 : !torch.vtensor<[32,224,25,25],f32>, !torch.vtensor<[256,224,3,3],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%1564 = torch.aten.relu %1563 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int3_569 = torch.constant.int 3
%int3_570 = torch.constant.int 3
%1565 = torch.prim.ListConstruct %int3_569, %int3_570 : (!torch.int, !torch.int) -> !torch.list<int>
%int0_571 = torch.constant.int 0
%int0_572 = torch.constant.int 0
%1566 = torch.prim.ListConstruct %int0_571, %int0_572 : (!torch.int, !torch.int) -> !torch.list<int>
%int2_573 = torch.constant.int 2
%int2_574 = torch.constant.int 2
%1567 = torch.prim.ListConstruct %int2_573, %int2_574 : (!torch.int, !torch.int) -> !torch.list<int>
%int1_575 = torch.constant.int 1
%int1_576 = torch.constant.int 1
%1568 = torch.prim.ListConstruct %int1_575, %int1_576 : (!torch.int, !torch.int) -> !torch.list<int>
%false_577 = torch.constant.bool false
%1569 = torch.aten.max_pool2d %1460, %1565, %1567, %1566, %1568, %false_577 : !torch.vtensor<[32,384,25,25],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.vtensor<[32,384,12,12],f32>
%1570 = torch.prim.ListConstruct %1482, %1564, %1569 : (!torch.vtensor<[32,384,12,12],f32>, !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[32,384,12,12],f32>) -> !torch.list<vtensor>
%int1_578 = torch.constant.int 1
%1571 = torch.aten.cat %1570, %int1_578 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,1024,12,12],f32>
%int12_579 = torch.constant.int 12
%1572 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1573 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1574 = torch.aten.quantize_per_tensor %1571, %1572, %1573, %int12_579 : !torch.vtensor<[32,1024,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%1575 = torch.aten.int_repr %1574 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],si8>
%1576 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1577 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1578 = torch.aten._make_per_tensor_quantized_tensor %1575, %1576, %1577 : !torch.vtensor<[32,1024,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%1579 = torch.aten.dequantize.self %1578 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_580 = torch.constant.int 12
%1580 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1581 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1582 = torch.aten.quantize_per_tensor %86, %1580, %1581, %int12_580 : !torch.vtensor<[384,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384,1024,1,1],!torch.qint8>
%1583 = torch.aten.int_repr %1582 : !torch.vtensor<[384,1024,1,1],!torch.qint8> -> !torch.vtensor<[384,1024,1,1],si8>
%1584 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1585 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1586 = torch.aten._make_per_tensor_quantized_tensor %1583, %1584, %1585 : !torch.vtensor<[384,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[384,1024,1,1],!torch.qint8>
%1587 = torch.aten.dequantize.self %1586 : !torch.vtensor<[384,1024,1,1],!torch.qint8> -> !torch.vtensor<[384,1024,1,1],f32>
%int12_581 = torch.constant.int 12
%1588 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1589 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1590 = torch.aten.quantize_per_tensor %87, %1588, %1589, %int12_581 : !torch.vtensor<[384],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%1591 = torch.aten.int_repr %1590 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],si8>
%1592 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1593 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1594 = torch.aten._make_per_tensor_quantized_tensor %1591, %1592, %1593 : !torch.vtensor<[384],si8>, !torch.float, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%1595 = torch.aten.dequantize.self %1594 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],f32>
%int0_582 = torch.constant.int 0
%int0_583 = torch.constant.int 0
%int1_584 = torch.constant.int 1
%int1_585 = torch.constant.int 1
%int1_586 = torch.constant.int 1
%int1_587 = torch.constant.int 1
%int0_588 = torch.constant.int 0
%1596 = torch.prim.ListConstruct %int0_582, %int0_583 : (!torch.int, !torch.int) -> !torch.list<int>
%1597 = torch.prim.ListConstruct %int1_584, %int1_585 : (!torch.int, !torch.int) -> !torch.list<int>
%1598 = torch.prim.ListConstruct %int1_586, %int1_587 : (!torch.int, !torch.int) -> !torch.list<int>
%1599 = torch.prim.ListConstruct %int0_588, %int0_588 : (!torch.int, !torch.int) -> !torch.list<int>
%false_589 = torch.constant.bool false
%int1_590 = torch.constant.int 1
%1600 = torch.aten.convolution %1579, %1587, %1595, %1598, %1596, %1597, %false_589, %1599, %int1_590 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[384,1024,1,1],f32>, !torch.vtensor<[384],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,384,12,12],f32>
%1601 = torch.aten.relu %1600 : !torch.vtensor<[32,384,12,12],f32> -> !torch.vtensor<[32,384,12,12],f32>
%int12_591 = torch.constant.int 12
%1602 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1603 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1604 = torch.aten.quantize_per_tensor %88, %1602, %1603, %int12_591 : !torch.vtensor<[192,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%1605 = torch.aten.int_repr %1604 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],si8>
%1606 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1607 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1608 = torch.aten._make_per_tensor_quantized_tensor %1605, %1606, %1607 : !torch.vtensor<[192,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%1609 = torch.aten.dequantize.self %1608 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],f32>
%int12_592 = torch.constant.int 12
%1610 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1611 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1612 = torch.aten.quantize_per_tensor %89, %1610, %1611, %int12_592 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%1613 = torch.aten.int_repr %1612 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%1614 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1615 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1616 = torch.aten._make_per_tensor_quantized_tensor %1613, %1614, %1615 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%1617 = torch.aten.dequantize.self %1616 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_593 = torch.constant.int 0
%int0_594 = torch.constant.int 0
%int1_595 = torch.constant.int 1
%int1_596 = torch.constant.int 1
%int1_597 = torch.constant.int 1
%int1_598 = torch.constant.int 1
%int0_599 = torch.constant.int 0
%1618 = torch.prim.ListConstruct %int0_593, %int0_594 : (!torch.int, !torch.int) -> !torch.list<int>
%1619 = torch.prim.ListConstruct %int1_595, %int1_596 : (!torch.int, !torch.int) -> !torch.list<int>
%1620 = torch.prim.ListConstruct %int1_597, %int1_598 : (!torch.int, !torch.int) -> !torch.list<int>
%1621 = torch.prim.ListConstruct %int0_599, %int0_599 : (!torch.int, !torch.int) -> !torch.list<int>
%false_600 = torch.constant.bool false
%int1_601 = torch.constant.int 1
%1622 = torch.aten.convolution %1579, %1609, %1617, %1620, %1618, %1619, %false_600, %1621, %int1_601 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[192,1024,1,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%1623 = torch.aten.relu %1622 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_602 = torch.constant.int 12
%1624 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1625 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1626 = torch.aten.quantize_per_tensor %1623, %1624, %1625, %int12_602 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%1627 = torch.aten.int_repr %1626 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%1628 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1629 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1630 = torch.aten._make_per_tensor_quantized_tensor %1627, %1628, %1629 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%1631 = torch.aten.dequantize.self %1630 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_603 = torch.constant.int 12
%1632 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1633 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1634 = torch.aten.quantize_per_tensor %90, %1632, %1633, %int12_603 : !torch.vtensor<[224,192,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%1635 = torch.aten.int_repr %1634 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],si8>
%1636 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1637 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1638 = torch.aten._make_per_tensor_quantized_tensor %1635, %1636, %1637 : !torch.vtensor<[224,192,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%1639 = torch.aten.dequantize.self %1638 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],f32>
%int12_604 = torch.constant.int 12
%1640 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1641 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1642 = torch.aten.quantize_per_tensor %91, %1640, %1641, %int12_604 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%1643 = torch.aten.int_repr %1642 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%1644 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1645 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1646 = torch.aten._make_per_tensor_quantized_tensor %1643, %1644, %1645 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%1647 = torch.aten.dequantize.self %1646 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int0_605 = torch.constant.int 0
%int3_606 = torch.constant.int 3
%int1_607 = torch.constant.int 1
%int1_608 = torch.constant.int 1
%int1_609 = torch.constant.int 1
%int1_610 = torch.constant.int 1
%int0_611 = torch.constant.int 0
%1648 = torch.prim.ListConstruct %int0_605, %int3_606 : (!torch.int, !torch.int) -> !torch.list<int>
%1649 = torch.prim.ListConstruct %int1_607, %int1_608 : (!torch.int, !torch.int) -> !torch.list<int>
%1650 = torch.prim.ListConstruct %int1_609, %int1_610 : (!torch.int, !torch.int) -> !torch.list<int>
%1651 = 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
%1652 = torch.aten.convolution %1631, %1639, %1647, %1650, %1648, %1649, %false_612, %1651, %int1_613 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[224,192,1,7],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%1653 = torch.aten.relu %1652 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_614 = torch.constant.int 12
%1654 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1655 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1656 = torch.aten.quantize_per_tensor %1653, %1654, %1655, %int12_614 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%1657 = torch.aten.int_repr %1656 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%1658 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1659 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1660 = torch.aten._make_per_tensor_quantized_tensor %1657, %1658, %1659 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%1661 = torch.aten.dequantize.self %1660 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_615 = torch.constant.int 12
%1662 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1663 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1664 = torch.aten.quantize_per_tensor %92, %1662, %1663, %int12_615 : !torch.vtensor<[256,224,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,224,7,1],!torch.qint8>
%1665 = torch.aten.int_repr %1664 : !torch.vtensor<[256,224,7,1],!torch.qint8> -> !torch.vtensor<[256,224,7,1],si8>
%1666 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1667 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1668 = torch.aten._make_per_tensor_quantized_tensor %1665, %1666, %1667 : !torch.vtensor<[256,224,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,224,7,1],!torch.qint8>
%1669 = torch.aten.dequantize.self %1668 : !torch.vtensor<[256,224,7,1],!torch.qint8> -> !torch.vtensor<[256,224,7,1],f32>
%int12_616 = torch.constant.int 12
%1670 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1671 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1672 = torch.aten.quantize_per_tensor %93, %1670, %1671, %int12_616 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%1673 = torch.aten.int_repr %1672 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%1674 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1675 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1676 = torch.aten._make_per_tensor_quantized_tensor %1673, %1674, %1675 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%1677 = torch.aten.dequantize.self %1676 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int3_617 = torch.constant.int 3
%int0_618 = torch.constant.int 0
%int1_619 = torch.constant.int 1
%int1_620 = torch.constant.int 1
%int1_621 = torch.constant.int 1
%int1_622 = torch.constant.int 1
%int0_623 = torch.constant.int 0
%1678 = torch.prim.ListConstruct %int3_617, %int0_618 : (!torch.int, !torch.int) -> !torch.list<int>
%1679 = torch.prim.ListConstruct %int1_619, %int1_620 : (!torch.int, !torch.int) -> !torch.list<int>
%1680 = torch.prim.ListConstruct %int1_621, %int1_622 : (!torch.int, !torch.int) -> !torch.list<int>
%1681 = torch.prim.ListConstruct %int0_623, %int0_623 : (!torch.int, !torch.int) -> !torch.list<int>
%false_624 = torch.constant.bool false
%int1_625 = torch.constant.int 1
%1682 = torch.aten.convolution %1661, %1669, %1677, %1680, %1678, %1679, %false_624, %1681, %int1_625 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[256,224,7,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%1683 = torch.aten.relu %1682 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int12_626 = torch.constant.int 12
%1684 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%1685 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1686 = torch.aten.quantize_per_tensor %94, %1684, %1685, %int12_626 : !torch.vtensor<[192,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%1687 = torch.aten.int_repr %1686 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],si8>
%1688 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%1689 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1690 = torch.aten._make_per_tensor_quantized_tensor %1687, %1688, %1689 : !torch.vtensor<[192,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%1691 = torch.aten.dequantize.self %1690 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],f32>
%int12_627 = torch.constant.int 12
%1692 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1693 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1694 = torch.aten.quantize_per_tensor %95, %1692, %1693, %int12_627 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%1695 = torch.aten.int_repr %1694 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%1696 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1697 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1698 = torch.aten._make_per_tensor_quantized_tensor %1695, %1696, %1697 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%1699 = torch.aten.dequantize.self %1698 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_628 = torch.constant.int 0
%int0_629 = torch.constant.int 0
%int1_630 = torch.constant.int 1
%int1_631 = torch.constant.int 1
%int1_632 = torch.constant.int 1
%int1_633 = torch.constant.int 1
%int0_634 = torch.constant.int 0
%1700 = torch.prim.ListConstruct %int0_628, %int0_629 : (!torch.int, !torch.int) -> !torch.list<int>
%1701 = torch.prim.ListConstruct %int1_630, %int1_631 : (!torch.int, !torch.int) -> !torch.list<int>
%1702 = torch.prim.ListConstruct %int1_632, %int1_633 : (!torch.int, !torch.int) -> !torch.list<int>
%1703 = torch.prim.ListConstruct %int0_634, %int0_634 : (!torch.int, !torch.int) -> !torch.list<int>
%false_635 = torch.constant.bool false
%int1_636 = torch.constant.int 1
%1704 = torch.aten.convolution %1579, %1691, %1699, %1702, %1700, %1701, %false_635, %1703, %int1_636 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[192,1024,1,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%1705 = torch.aten.relu %1704 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_637 = torch.constant.int 12
%1706 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1707 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1708 = torch.aten.quantize_per_tensor %1705, %1706, %1707, %int12_637 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%1709 = torch.aten.int_repr %1708 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%1710 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1711 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1712 = torch.aten._make_per_tensor_quantized_tensor %1709, %1710, %1711 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%1713 = torch.aten.dequantize.self %1712 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_638 = torch.constant.int 12
%1714 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1715 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1716 = torch.aten.quantize_per_tensor %96, %1714, %1715, %int12_638 : !torch.vtensor<[192,192,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,192,7,1],!torch.qint8>
%1717 = torch.aten.int_repr %1716 : !torch.vtensor<[192,192,7,1],!torch.qint8> -> !torch.vtensor<[192,192,7,1],si8>
%1718 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1719 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1720 = torch.aten._make_per_tensor_quantized_tensor %1717, %1718, %1719 : !torch.vtensor<[192,192,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,192,7,1],!torch.qint8>
%1721 = torch.aten.dequantize.self %1720 : !torch.vtensor<[192,192,7,1],!torch.qint8> -> !torch.vtensor<[192,192,7,1],f32>
%int12_639 = torch.constant.int 12
%1722 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1723 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1724 = torch.aten.quantize_per_tensor %97, %1722, %1723, %int12_639 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%1725 = torch.aten.int_repr %1724 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%1726 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1727 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1728 = torch.aten._make_per_tensor_quantized_tensor %1725, %1726, %1727 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%1729 = torch.aten.dequantize.self %1728 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int3_640 = torch.constant.int 3
%int0_641 = torch.constant.int 0
%int1_642 = torch.constant.int 1
%int1_643 = torch.constant.int 1
%int1_644 = torch.constant.int 1
%int1_645 = torch.constant.int 1
%int0_646 = torch.constant.int 0
%1730 = torch.prim.ListConstruct %int3_640, %int0_641 : (!torch.int, !torch.int) -> !torch.list<int>
%1731 = torch.prim.ListConstruct %int1_642, %int1_643 : (!torch.int, !torch.int) -> !torch.list<int>
%1732 = torch.prim.ListConstruct %int1_644, %int1_645 : (!torch.int, !torch.int) -> !torch.list<int>
%1733 = torch.prim.ListConstruct %int0_646, %int0_646 : (!torch.int, !torch.int) -> !torch.list<int>
%false_647 = torch.constant.bool false
%int1_648 = torch.constant.int 1
%1734 = torch.aten.convolution %1713, %1721, %1729, %1732, %1730, %1731, %false_647, %1733, %int1_648 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[192,192,7,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%1735 = torch.aten.relu %1734 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_649 = torch.constant.int 12
%1736 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1737 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1738 = torch.aten.quantize_per_tensor %1735, %1736, %1737, %int12_649 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%1739 = torch.aten.int_repr %1738 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%1740 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1741 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1742 = torch.aten._make_per_tensor_quantized_tensor %1739, %1740, %1741 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%1743 = torch.aten.dequantize.self %1742 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_650 = torch.constant.int 12
%1744 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1745 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1746 = torch.aten.quantize_per_tensor %98, %1744, %1745, %int12_650 : !torch.vtensor<[224,192,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%1747 = torch.aten.int_repr %1746 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],si8>
%1748 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1749 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1750 = torch.aten._make_per_tensor_quantized_tensor %1747, %1748, %1749 : !torch.vtensor<[224,192,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%1751 = torch.aten.dequantize.self %1750 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],f32>
%int12_651 = torch.constant.int 12
%1752 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1753 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1754 = torch.aten.quantize_per_tensor %99, %1752, %1753, %int12_651 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%1755 = torch.aten.int_repr %1754 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%1756 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1757 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1758 = torch.aten._make_per_tensor_quantized_tensor %1755, %1756, %1757 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%1759 = torch.aten.dequantize.self %1758 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int0_652 = torch.constant.int 0
%int3_653 = torch.constant.int 3
%int1_654 = torch.constant.int 1
%int1_655 = torch.constant.int 1
%int1_656 = torch.constant.int 1
%int1_657 = torch.constant.int 1
%int0_658 = torch.constant.int 0
%1760 = torch.prim.ListConstruct %int0_652, %int3_653 : (!torch.int, !torch.int) -> !torch.list<int>
%1761 = torch.prim.ListConstruct %int1_654, %int1_655 : (!torch.int, !torch.int) -> !torch.list<int>
%1762 = torch.prim.ListConstruct %int1_656, %int1_657 : (!torch.int, !torch.int) -> !torch.list<int>
%1763 = torch.prim.ListConstruct %int0_658, %int0_658 : (!torch.int, !torch.int) -> !torch.list<int>
%false_659 = torch.constant.bool false
%int1_660 = torch.constant.int 1
%1764 = torch.aten.convolution %1743, %1751, %1759, %1762, %1760, %1761, %false_659, %1763, %int1_660 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[224,192,1,7],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%1765 = torch.aten.relu %1764 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_661 = torch.constant.int 12
%1766 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1767 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1768 = torch.aten.quantize_per_tensor %1765, %1766, %1767, %int12_661 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%1769 = torch.aten.int_repr %1768 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%1770 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1771 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1772 = torch.aten._make_per_tensor_quantized_tensor %1769, %1770, %1771 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%1773 = torch.aten.dequantize.self %1772 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_662 = torch.constant.int 12
%1774 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1775 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1776 = torch.aten.quantize_per_tensor %100, %1774, %1775, %int12_662 : !torch.vtensor<[224,224,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,224,7,1],!torch.qint8>
%1777 = torch.aten.int_repr %1776 : !torch.vtensor<[224,224,7,1],!torch.qint8> -> !torch.vtensor<[224,224,7,1],si8>
%1778 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1779 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1780 = torch.aten._make_per_tensor_quantized_tensor %1777, %1778, %1779 : !torch.vtensor<[224,224,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,224,7,1],!torch.qint8>
%1781 = torch.aten.dequantize.self %1780 : !torch.vtensor<[224,224,7,1],!torch.qint8> -> !torch.vtensor<[224,224,7,1],f32>
%int12_663 = torch.constant.int 12
%1782 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1783 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1784 = torch.aten.quantize_per_tensor %101, %1782, %1783, %int12_663 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%1785 = torch.aten.int_repr %1784 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%1786 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1787 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1788 = torch.aten._make_per_tensor_quantized_tensor %1785, %1786, %1787 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%1789 = torch.aten.dequantize.self %1788 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int3_664 = torch.constant.int 3
%int0_665 = torch.constant.int 0
%int1_666 = torch.constant.int 1
%int1_667 = torch.constant.int 1
%int1_668 = torch.constant.int 1
%int1_669 = torch.constant.int 1
%int0_670 = torch.constant.int 0
%1790 = torch.prim.ListConstruct %int3_664, %int0_665 : (!torch.int, !torch.int) -> !torch.list<int>
%1791 = torch.prim.ListConstruct %int1_666, %int1_667 : (!torch.int, !torch.int) -> !torch.list<int>
%1792 = torch.prim.ListConstruct %int1_668, %int1_669 : (!torch.int, !torch.int) -> !torch.list<int>
%1793 = torch.prim.ListConstruct %int0_670, %int0_670 : (!torch.int, !torch.int) -> !torch.list<int>
%false_671 = torch.constant.bool false
%int1_672 = torch.constant.int 1
%1794 = torch.aten.convolution %1773, %1781, %1789, %1792, %1790, %1791, %false_671, %1793, %int1_672 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[224,224,7,1],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%1795 = torch.aten.relu %1794 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_673 = torch.constant.int 12
%1796 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1797 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1798 = torch.aten.quantize_per_tensor %1795, %1796, %1797, %int12_673 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%1799 = torch.aten.int_repr %1798 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%1800 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1801 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1802 = torch.aten._make_per_tensor_quantized_tensor %1799, %1800, %1801 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%1803 = torch.aten.dequantize.self %1802 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_674 = torch.constant.int 12
%1804 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1805 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1806 = torch.aten.quantize_per_tensor %102, %1804, %1805, %int12_674 : !torch.vtensor<[256,224,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,224,1,7],!torch.qint8>
%1807 = torch.aten.int_repr %1806 : !torch.vtensor<[256,224,1,7],!torch.qint8> -> !torch.vtensor<[256,224,1,7],si8>
%1808 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1809 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1810 = torch.aten._make_per_tensor_quantized_tensor %1807, %1808, %1809 : !torch.vtensor<[256,224,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,224,1,7],!torch.qint8>
%1811 = torch.aten.dequantize.self %1810 : !torch.vtensor<[256,224,1,7],!torch.qint8> -> !torch.vtensor<[256,224,1,7],f32>
%int12_675 = torch.constant.int 12
%1812 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1813 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1814 = torch.aten.quantize_per_tensor %103, %1812, %1813, %int12_675 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%1815 = torch.aten.int_repr %1814 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%1816 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1817 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1818 = torch.aten._make_per_tensor_quantized_tensor %1815, %1816, %1817 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%1819 = torch.aten.dequantize.self %1818 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_676 = torch.constant.int 0
%int3_677 = torch.constant.int 3
%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
%1820 = torch.prim.ListConstruct %int0_676, %int3_677 : (!torch.int, !torch.int) -> !torch.list<int>
%1821 = torch.prim.ListConstruct %int1_678, %int1_679 : (!torch.int, !torch.int) -> !torch.list<int>
%1822 = torch.prim.ListConstruct %int1_680, %int1_681 : (!torch.int, !torch.int) -> !torch.list<int>
%1823 = 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
%1824 = torch.aten.convolution %1803, %1811, %1819, %1822, %1820, %1821, %false_683, %1823, %int1_684 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[256,224,1,7],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%1825 = torch.aten.relu %1824 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int3_685 = torch.constant.int 3
%int3_686 = torch.constant.int 3
%int1_687 = torch.constant.int 1
%int1_688 = torch.constant.int 1
%int1_689 = torch.constant.int 1
%int1_690 = torch.constant.int 1
%int1_691 = torch.constant.int 1
%int1_692 = torch.constant.int 1
%1826 = torch.prim.ListConstruct %int3_685, %int3_686 : (!torch.int, !torch.int) -> !torch.list<int>
%1827 = torch.prim.ListConstruct %int1_687, %int1_688, %int1_689, %int1_690 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
%1828 = torch.prim.ListConstruct %int1_691, %int1_692 : (!torch.int, !torch.int) -> !torch.list<int>
%false_693 = torch.constant.bool false
%false_694 = torch.constant.bool false
%none_695 = torch.constant.none
%1829 = torch.aten.avg_pool2d %1579, %1826, %1828, %1827, %false_693, %false_694, %none_695 : !torch.vtensor<[32,1024,12,12],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[32,1024,12,12],f32>
%1830 = torch.aten.mul.Tensor %1829, %308 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_696 = torch.constant.int 12
%1831 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1832 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1833 = torch.aten.quantize_per_tensor %1830, %1831, %1832, %int12_696 : !torch.vtensor<[32,1024,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%1834 = torch.aten.int_repr %1833 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],si8>
%1835 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1836 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1837 = torch.aten._make_per_tensor_quantized_tensor %1834, %1835, %1836 : !torch.vtensor<[32,1024,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%1838 = torch.aten.dequantize.self %1837 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_697 = torch.constant.int 12
%1839 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1840 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1841 = torch.aten.quantize_per_tensor %104, %1839, %1840, %int12_697 : !torch.vtensor<[128,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,1024,1,1],!torch.qint8>
%1842 = torch.aten.int_repr %1841 : !torch.vtensor<[128,1024,1,1],!torch.qint8> -> !torch.vtensor<[128,1024,1,1],si8>
%1843 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1844 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1845 = torch.aten._make_per_tensor_quantized_tensor %1842, %1843, %1844 : !torch.vtensor<[128,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,1024,1,1],!torch.qint8>
%1846 = torch.aten.dequantize.self %1845 : !torch.vtensor<[128,1024,1,1],!torch.qint8> -> !torch.vtensor<[128,1024,1,1],f32>
%int12_698 = torch.constant.int 12
%1847 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1848 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1849 = torch.aten.quantize_per_tensor %105, %1847, %1848, %int12_698 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
%1850 = torch.aten.int_repr %1849 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
%1851 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1852 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1853 = torch.aten._make_per_tensor_quantized_tensor %1850, %1851, %1852 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
%1854 = torch.aten.dequantize.self %1853 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
%int0_699 = torch.constant.int 0
%int0_700 = torch.constant.int 0
%int1_701 = torch.constant.int 1
%int1_702 = torch.constant.int 1
%int1_703 = torch.constant.int 1
%int1_704 = torch.constant.int 1
%int0_705 = torch.constant.int 0
%1855 = torch.prim.ListConstruct %int0_699, %int0_700 : (!torch.int, !torch.int) -> !torch.list<int>
%1856 = torch.prim.ListConstruct %int1_701, %int1_702 : (!torch.int, !torch.int) -> !torch.list<int>
%1857 = torch.prim.ListConstruct %int1_703, %int1_704 : (!torch.int, !torch.int) -> !torch.list<int>
%1858 = torch.prim.ListConstruct %int0_705, %int0_705 : (!torch.int, !torch.int) -> !torch.list<int>
%false_706 = torch.constant.bool false
%int1_707 = torch.constant.int 1
%1859 = torch.aten.convolution %1838, %1846, %1854, %1857, %1855, %1856, %false_706, %1858, %int1_707 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[128,1024,1,1],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,128,12,12],f32>
%1860 = torch.aten.relu %1859 : !torch.vtensor<[32,128,12,12],f32> -> !torch.vtensor<[32,128,12,12],f32>
%1861 = torch.prim.ListConstruct %1601, %1683, %1825, %1860 : (!torch.vtensor<[32,384,12,12],f32>, !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[32,128,12,12],f32>) -> !torch.list<vtensor>
%int1_708 = torch.constant.int 1
%1862 = torch.aten.cat %1861, %int1_708 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,1024,12,12],f32>
%int12_709 = torch.constant.int 12
%1863 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1864 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1865 = torch.aten.quantize_per_tensor %1862, %1863, %1864, %int12_709 : !torch.vtensor<[32,1024,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%1866 = torch.aten.int_repr %1865 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],si8>
%1867 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%1868 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1869 = torch.aten._make_per_tensor_quantized_tensor %1866, %1867, %1868 : !torch.vtensor<[32,1024,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%1870 = torch.aten.dequantize.self %1869 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_710 = torch.constant.int 12
%1871 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1872 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1873 = torch.aten.quantize_per_tensor %106, %1871, %1872, %int12_710 : !torch.vtensor<[384,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384,1024,1,1],!torch.qint8>
%1874 = torch.aten.int_repr %1873 : !torch.vtensor<[384,1024,1,1],!torch.qint8> -> !torch.vtensor<[384,1024,1,1],si8>
%1875 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1876 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1877 = torch.aten._make_per_tensor_quantized_tensor %1874, %1875, %1876 : !torch.vtensor<[384,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[384,1024,1,1],!torch.qint8>
%1878 = torch.aten.dequantize.self %1877 : !torch.vtensor<[384,1024,1,1],!torch.qint8> -> !torch.vtensor<[384,1024,1,1],f32>
%int12_711 = torch.constant.int 12
%1879 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1880 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1881 = torch.aten.quantize_per_tensor %107, %1879, %1880, %int12_711 : !torch.vtensor<[384],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%1882 = torch.aten.int_repr %1881 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],si8>
%1883 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1884 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1885 = torch.aten._make_per_tensor_quantized_tensor %1882, %1883, %1884 : !torch.vtensor<[384],si8>, !torch.float, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%1886 = torch.aten.dequantize.self %1885 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],f32>
%int0_712 = torch.constant.int 0
%int0_713 = torch.constant.int 0
%int1_714 = torch.constant.int 1
%int1_715 = torch.constant.int 1
%int1_716 = torch.constant.int 1
%int1_717 = torch.constant.int 1
%int0_718 = torch.constant.int 0
%1887 = torch.prim.ListConstruct %int0_712, %int0_713 : (!torch.int, !torch.int) -> !torch.list<int>
%1888 = torch.prim.ListConstruct %int1_714, %int1_715 : (!torch.int, !torch.int) -> !torch.list<int>
%1889 = torch.prim.ListConstruct %int1_716, %int1_717 : (!torch.int, !torch.int) -> !torch.list<int>
%1890 = torch.prim.ListConstruct %int0_718, %int0_718 : (!torch.int, !torch.int) -> !torch.list<int>
%false_719 = torch.constant.bool false
%int1_720 = torch.constant.int 1
%1891 = torch.aten.convolution %1870, %1878, %1886, %1889, %1887, %1888, %false_719, %1890, %int1_720 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[384,1024,1,1],f32>, !torch.vtensor<[384],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,384,12,12],f32>
%1892 = torch.aten.relu %1891 : !torch.vtensor<[32,384,12,12],f32> -> !torch.vtensor<[32,384,12,12],f32>
%int12_721 = torch.constant.int 12
%1893 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1894 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1895 = torch.aten.quantize_per_tensor %108, %1893, %1894, %int12_721 : !torch.vtensor<[192,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%1896 = torch.aten.int_repr %1895 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],si8>
%1897 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1898 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1899 = torch.aten._make_per_tensor_quantized_tensor %1896, %1897, %1898 : !torch.vtensor<[192,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%1900 = torch.aten.dequantize.self %1899 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],f32>
%int12_722 = torch.constant.int 12
%1901 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1902 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1903 = torch.aten.quantize_per_tensor %109, %1901, %1902, %int12_722 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%1904 = torch.aten.int_repr %1903 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%1905 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%1906 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1907 = torch.aten._make_per_tensor_quantized_tensor %1904, %1905, %1906 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%1908 = torch.aten.dequantize.self %1907 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_723 = torch.constant.int 0
%int0_724 = torch.constant.int 0
%int1_725 = torch.constant.int 1
%int1_726 = torch.constant.int 1
%int1_727 = torch.constant.int 1
%int1_728 = torch.constant.int 1
%int0_729 = torch.constant.int 0
%1909 = torch.prim.ListConstruct %int0_723, %int0_724 : (!torch.int, !torch.int) -> !torch.list<int>
%1910 = torch.prim.ListConstruct %int1_725, %int1_726 : (!torch.int, !torch.int) -> !torch.list<int>
%1911 = torch.prim.ListConstruct %int1_727, %int1_728 : (!torch.int, !torch.int) -> !torch.list<int>
%1912 = torch.prim.ListConstruct %int0_729, %int0_729 : (!torch.int, !torch.int) -> !torch.list<int>
%false_730 = torch.constant.bool false
%int1_731 = torch.constant.int 1
%1913 = torch.aten.convolution %1870, %1900, %1908, %1911, %1909, %1910, %false_730, %1912, %int1_731 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[192,1024,1,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%1914 = torch.aten.relu %1913 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_732 = torch.constant.int 12
%1915 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1916 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1917 = torch.aten.quantize_per_tensor %1914, %1915, %1916, %int12_732 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%1918 = torch.aten.int_repr %1917 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%1919 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1920 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1921 = torch.aten._make_per_tensor_quantized_tensor %1918, %1919, %1920 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%1922 = torch.aten.dequantize.self %1921 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_733 = torch.constant.int 12
%1923 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1924 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1925 = torch.aten.quantize_per_tensor %110, %1923, %1924, %int12_733 : !torch.vtensor<[224,192,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%1926 = torch.aten.int_repr %1925 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],si8>
%1927 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1928 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1929 = torch.aten._make_per_tensor_quantized_tensor %1926, %1927, %1928 : !torch.vtensor<[224,192,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%1930 = torch.aten.dequantize.self %1929 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],f32>
%int12_734 = torch.constant.int 12
%1931 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1932 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1933 = torch.aten.quantize_per_tensor %111, %1931, %1932, %int12_734 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%1934 = torch.aten.int_repr %1933 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%1935 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1936 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1937 = torch.aten._make_per_tensor_quantized_tensor %1934, %1935, %1936 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%1938 = torch.aten.dequantize.self %1937 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int0_735 = torch.constant.int 0
%int3_736 = torch.constant.int 3
%int1_737 = torch.constant.int 1
%int1_738 = torch.constant.int 1
%int1_739 = torch.constant.int 1
%int1_740 = torch.constant.int 1
%int0_741 = torch.constant.int 0
%1939 = torch.prim.ListConstruct %int0_735, %int3_736 : (!torch.int, !torch.int) -> !torch.list<int>
%1940 = torch.prim.ListConstruct %int1_737, %int1_738 : (!torch.int, !torch.int) -> !torch.list<int>
%1941 = torch.prim.ListConstruct %int1_739, %int1_740 : (!torch.int, !torch.int) -> !torch.list<int>
%1942 = torch.prim.ListConstruct %int0_741, %int0_741 : (!torch.int, !torch.int) -> !torch.list<int>
%false_742 = torch.constant.bool false
%int1_743 = torch.constant.int 1
%1943 = torch.aten.convolution %1922, %1930, %1938, %1941, %1939, %1940, %false_742, %1942, %int1_743 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[224,192,1,7],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%1944 = torch.aten.relu %1943 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_744 = torch.constant.int 12
%1945 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1946 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1947 = torch.aten.quantize_per_tensor %1944, %1945, %1946, %int12_744 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%1948 = torch.aten.int_repr %1947 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%1949 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1950 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1951 = torch.aten._make_per_tensor_quantized_tensor %1948, %1949, %1950 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%1952 = torch.aten.dequantize.self %1951 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_745 = torch.constant.int 12
%1953 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%1954 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1955 = torch.aten.quantize_per_tensor %112, %1953, %1954, %int12_745 : !torch.vtensor<[256,224,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,224,7,1],!torch.qint8>
%1956 = torch.aten.int_repr %1955 : !torch.vtensor<[256,224,7,1],!torch.qint8> -> !torch.vtensor<[256,224,7,1],si8>
%1957 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%1958 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1959 = torch.aten._make_per_tensor_quantized_tensor %1956, %1957, %1958 : !torch.vtensor<[256,224,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,224,7,1],!torch.qint8>
%1960 = torch.aten.dequantize.self %1959 : !torch.vtensor<[256,224,7,1],!torch.qint8> -> !torch.vtensor<[256,224,7,1],f32>
%int12_746 = torch.constant.int 12
%1961 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1962 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1963 = torch.aten.quantize_per_tensor %113, %1961, %1962, %int12_746 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%1964 = torch.aten.int_repr %1963 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%1965 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1966 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1967 = torch.aten._make_per_tensor_quantized_tensor %1964, %1965, %1966 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%1968 = torch.aten.dequantize.self %1967 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int3_747 = torch.constant.int 3
%int0_748 = torch.constant.int 0
%int1_749 = torch.constant.int 1
%int1_750 = torch.constant.int 1
%int1_751 = torch.constant.int 1
%int1_752 = torch.constant.int 1
%int0_753 = torch.constant.int 0
%1969 = torch.prim.ListConstruct %int3_747, %int0_748 : (!torch.int, !torch.int) -> !torch.list<int>
%1970 = torch.prim.ListConstruct %int1_749, %int1_750 : (!torch.int, !torch.int) -> !torch.list<int>
%1971 = torch.prim.ListConstruct %int1_751, %int1_752 : (!torch.int, !torch.int) -> !torch.list<int>
%1972 = torch.prim.ListConstruct %int0_753, %int0_753 : (!torch.int, !torch.int) -> !torch.list<int>
%false_754 = torch.constant.bool false
%int1_755 = torch.constant.int 1
%1973 = torch.aten.convolution %1952, %1960, %1968, %1971, %1969, %1970, %false_754, %1972, %int1_755 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[256,224,7,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%1974 = torch.aten.relu %1973 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int12_756 = torch.constant.int 12
%1975 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1976 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1977 = torch.aten.quantize_per_tensor %114, %1975, %1976, %int12_756 : !torch.vtensor<[192,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%1978 = torch.aten.int_repr %1977 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],si8>
%1979 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%1980 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1981 = torch.aten._make_per_tensor_quantized_tensor %1978, %1979, %1980 : !torch.vtensor<[192,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%1982 = torch.aten.dequantize.self %1981 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],f32>
%int12_757 = torch.constant.int 12
%1983 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1984 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1985 = torch.aten.quantize_per_tensor %115, %1983, %1984, %int12_757 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%1986 = torch.aten.int_repr %1985 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%1987 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%1988 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1989 = torch.aten._make_per_tensor_quantized_tensor %1986, %1987, %1988 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%1990 = torch.aten.dequantize.self %1989 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_758 = torch.constant.int 0
%int0_759 = torch.constant.int 0
%int1_760 = torch.constant.int 1
%int1_761 = torch.constant.int 1
%int1_762 = torch.constant.int 1
%int1_763 = torch.constant.int 1
%int0_764 = torch.constant.int 0
%1991 = torch.prim.ListConstruct %int0_758, %int0_759 : (!torch.int, !torch.int) -> !torch.list<int>
%1992 = torch.prim.ListConstruct %int1_760, %int1_761 : (!torch.int, !torch.int) -> !torch.list<int>
%1993 = torch.prim.ListConstruct %int1_762, %int1_763 : (!torch.int, !torch.int) -> !torch.list<int>
%1994 = torch.prim.ListConstruct %int0_764, %int0_764 : (!torch.int, !torch.int) -> !torch.list<int>
%false_765 = torch.constant.bool false
%int1_766 = torch.constant.int 1
%1995 = torch.aten.convolution %1870, %1982, %1990, %1993, %1991, %1992, %false_765, %1994, %int1_766 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[192,1024,1,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%1996 = torch.aten.relu %1995 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_767 = torch.constant.int 12
%1997 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%1998 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%1999 = torch.aten.quantize_per_tensor %1996, %1997, %1998, %int12_767 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2000 = torch.aten.int_repr %1999 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%2001 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2002 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2003 = torch.aten._make_per_tensor_quantized_tensor %2000, %2001, %2002 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2004 = torch.aten.dequantize.self %2003 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_768 = torch.constant.int 12
%2005 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2006 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2007 = torch.aten.quantize_per_tensor %116, %2005, %2006, %int12_768 : !torch.vtensor<[192,192,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,192,7,1],!torch.qint8>
%2008 = torch.aten.int_repr %2007 : !torch.vtensor<[192,192,7,1],!torch.qint8> -> !torch.vtensor<[192,192,7,1],si8>
%2009 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2010 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2011 = torch.aten._make_per_tensor_quantized_tensor %2008, %2009, %2010 : !torch.vtensor<[192,192,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,192,7,1],!torch.qint8>
%2012 = torch.aten.dequantize.self %2011 : !torch.vtensor<[192,192,7,1],!torch.qint8> -> !torch.vtensor<[192,192,7,1],f32>
%int12_769 = torch.constant.int 12
%2013 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2014 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2015 = torch.aten.quantize_per_tensor %117, %2013, %2014, %int12_769 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2016 = torch.aten.int_repr %2015 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%2017 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2018 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2019 = torch.aten._make_per_tensor_quantized_tensor %2016, %2017, %2018 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2020 = torch.aten.dequantize.self %2019 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int3_770 = torch.constant.int 3
%int0_771 = torch.constant.int 0
%int1_772 = torch.constant.int 1
%int1_773 = torch.constant.int 1
%int1_774 = torch.constant.int 1
%int1_775 = torch.constant.int 1
%int0_776 = torch.constant.int 0
%2021 = torch.prim.ListConstruct %int3_770, %int0_771 : (!torch.int, !torch.int) -> !torch.list<int>
%2022 = torch.prim.ListConstruct %int1_772, %int1_773 : (!torch.int, !torch.int) -> !torch.list<int>
%2023 = torch.prim.ListConstruct %int1_774, %int1_775 : (!torch.int, !torch.int) -> !torch.list<int>
%2024 = torch.prim.ListConstruct %int0_776, %int0_776 : (!torch.int, !torch.int) -> !torch.list<int>
%false_777 = torch.constant.bool false
%int1_778 = torch.constant.int 1
%2025 = torch.aten.convolution %2004, %2012, %2020, %2023, %2021, %2022, %false_777, %2024, %int1_778 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[192,192,7,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%2026 = torch.aten.relu %2025 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_779 = torch.constant.int 12
%2027 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2028 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2029 = torch.aten.quantize_per_tensor %2026, %2027, %2028, %int12_779 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2030 = torch.aten.int_repr %2029 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%2031 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2032 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2033 = torch.aten._make_per_tensor_quantized_tensor %2030, %2031, %2032 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2034 = torch.aten.dequantize.self %2033 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_780 = torch.constant.int 12
%2035 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2036 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2037 = torch.aten.quantize_per_tensor %118, %2035, %2036, %int12_780 : !torch.vtensor<[224,192,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%2038 = torch.aten.int_repr %2037 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],si8>
%2039 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2040 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2041 = torch.aten._make_per_tensor_quantized_tensor %2038, %2039, %2040 : !torch.vtensor<[224,192,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%2042 = torch.aten.dequantize.self %2041 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],f32>
%int12_781 = torch.constant.int 12
%2043 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%2044 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2045 = torch.aten.quantize_per_tensor %119, %2043, %2044, %int12_781 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2046 = torch.aten.int_repr %2045 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%2047 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%2048 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2049 = torch.aten._make_per_tensor_quantized_tensor %2046, %2047, %2048 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2050 = torch.aten.dequantize.self %2049 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int0_782 = torch.constant.int 0
%int3_783 = torch.constant.int 3
%int1_784 = torch.constant.int 1
%int1_785 = torch.constant.int 1
%int1_786 = torch.constant.int 1
%int1_787 = torch.constant.int 1
%int0_788 = torch.constant.int 0
%2051 = torch.prim.ListConstruct %int0_782, %int3_783 : (!torch.int, !torch.int) -> !torch.list<int>
%2052 = torch.prim.ListConstruct %int1_784, %int1_785 : (!torch.int, !torch.int) -> !torch.list<int>
%2053 = torch.prim.ListConstruct %int1_786, %int1_787 : (!torch.int, !torch.int) -> !torch.list<int>
%2054 = torch.prim.ListConstruct %int0_788, %int0_788 : (!torch.int, !torch.int) -> !torch.list<int>
%false_789 = torch.constant.bool false
%int1_790 = torch.constant.int 1
%2055 = torch.aten.convolution %2034, %2042, %2050, %2053, %2051, %2052, %false_789, %2054, %int1_790 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[224,192,1,7],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%2056 = torch.aten.relu %2055 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_791 = torch.constant.int 12
%2057 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2058 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2059 = torch.aten.quantize_per_tensor %2056, %2057, %2058, %int12_791 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2060 = torch.aten.int_repr %2059 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%2061 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2062 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2063 = torch.aten._make_per_tensor_quantized_tensor %2060, %2061, %2062 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2064 = torch.aten.dequantize.self %2063 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_792 = torch.constant.int 12
%2065 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2066 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2067 = torch.aten.quantize_per_tensor %120, %2065, %2066, %int12_792 : !torch.vtensor<[224,224,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,224,7,1],!torch.qint8>
%2068 = torch.aten.int_repr %2067 : !torch.vtensor<[224,224,7,1],!torch.qint8> -> !torch.vtensor<[224,224,7,1],si8>
%2069 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2070 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2071 = torch.aten._make_per_tensor_quantized_tensor %2068, %2069, %2070 : !torch.vtensor<[224,224,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,224,7,1],!torch.qint8>
%2072 = torch.aten.dequantize.self %2071 : !torch.vtensor<[224,224,7,1],!torch.qint8> -> !torch.vtensor<[224,224,7,1],f32>
%int12_793 = torch.constant.int 12
%2073 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%2074 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2075 = torch.aten.quantize_per_tensor %121, %2073, %2074, %int12_793 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2076 = torch.aten.int_repr %2075 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%2077 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%2078 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2079 = torch.aten._make_per_tensor_quantized_tensor %2076, %2077, %2078 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2080 = torch.aten.dequantize.self %2079 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int3_794 = torch.constant.int 3
%int0_795 = torch.constant.int 0
%int1_796 = torch.constant.int 1
%int1_797 = torch.constant.int 1
%int1_798 = torch.constant.int 1
%int1_799 = torch.constant.int 1
%int0_800 = torch.constant.int 0
%2081 = torch.prim.ListConstruct %int3_794, %int0_795 : (!torch.int, !torch.int) -> !torch.list<int>
%2082 = torch.prim.ListConstruct %int1_796, %int1_797 : (!torch.int, !torch.int) -> !torch.list<int>
%2083 = torch.prim.ListConstruct %int1_798, %int1_799 : (!torch.int, !torch.int) -> !torch.list<int>
%2084 = torch.prim.ListConstruct %int0_800, %int0_800 : (!torch.int, !torch.int) -> !torch.list<int>
%false_801 = torch.constant.bool false
%int1_802 = torch.constant.int 1
%2085 = torch.aten.convolution %2064, %2072, %2080, %2083, %2081, %2082, %false_801, %2084, %int1_802 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[224,224,7,1],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%2086 = torch.aten.relu %2085 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_803 = torch.constant.int 12
%2087 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2088 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2089 = torch.aten.quantize_per_tensor %2086, %2087, %2088, %int12_803 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2090 = torch.aten.int_repr %2089 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%2091 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2092 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2093 = torch.aten._make_per_tensor_quantized_tensor %2090, %2091, %2092 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2094 = torch.aten.dequantize.self %2093 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_804 = torch.constant.int 12
%2095 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2096 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2097 = torch.aten.quantize_per_tensor %122, %2095, %2096, %int12_804 : !torch.vtensor<[256,224,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,224,1,7],!torch.qint8>
%2098 = torch.aten.int_repr %2097 : !torch.vtensor<[256,224,1,7],!torch.qint8> -> !torch.vtensor<[256,224,1,7],si8>
%2099 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2100 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2101 = torch.aten._make_per_tensor_quantized_tensor %2098, %2099, %2100 : !torch.vtensor<[256,224,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,224,1,7],!torch.qint8>
%2102 = torch.aten.dequantize.self %2101 : !torch.vtensor<[256,224,1,7],!torch.qint8> -> !torch.vtensor<[256,224,1,7],f32>
%int12_805 = torch.constant.int 12
%2103 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2104 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2105 = torch.aten.quantize_per_tensor %123, %2103, %2104, %int12_805 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%2106 = torch.aten.int_repr %2105 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%2107 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2108 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2109 = torch.aten._make_per_tensor_quantized_tensor %2106, %2107, %2108 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%2110 = torch.aten.dequantize.self %2109 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_806 = torch.constant.int 0
%int3_807 = torch.constant.int 3
%int1_808 = torch.constant.int 1
%int1_809 = torch.constant.int 1
%int1_810 = torch.constant.int 1
%int1_811 = torch.constant.int 1
%int0_812 = torch.constant.int 0
%2111 = torch.prim.ListConstruct %int0_806, %int3_807 : (!torch.int, !torch.int) -> !torch.list<int>
%2112 = torch.prim.ListConstruct %int1_808, %int1_809 : (!torch.int, !torch.int) -> !torch.list<int>
%2113 = torch.prim.ListConstruct %int1_810, %int1_811 : (!torch.int, !torch.int) -> !torch.list<int>
%2114 = torch.prim.ListConstruct %int0_812, %int0_812 : (!torch.int, !torch.int) -> !torch.list<int>
%false_813 = torch.constant.bool false
%int1_814 = torch.constant.int 1
%2115 = torch.aten.convolution %2094, %2102, %2110, %2113, %2111, %2112, %false_813, %2114, %int1_814 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[256,224,1,7],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%2116 = torch.aten.relu %2115 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int3_815 = torch.constant.int 3
%int3_816 = torch.constant.int 3
%int1_817 = torch.constant.int 1
%int1_818 = torch.constant.int 1
%int1_819 = torch.constant.int 1
%int1_820 = torch.constant.int 1
%int1_821 = torch.constant.int 1
%int1_822 = torch.constant.int 1
%2117 = torch.prim.ListConstruct %int3_815, %int3_816 : (!torch.int, !torch.int) -> !torch.list<int>
%2118 = torch.prim.ListConstruct %int1_817, %int1_818, %int1_819, %int1_820 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
%2119 = torch.prim.ListConstruct %int1_821, %int1_822 : (!torch.int, !torch.int) -> !torch.list<int>
%false_823 = torch.constant.bool false
%false_824 = torch.constant.bool false
%none_825 = torch.constant.none
%2120 = torch.aten.avg_pool2d %1870, %2117, %2119, %2118, %false_823, %false_824, %none_825 : !torch.vtensor<[32,1024,12,12],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[32,1024,12,12],f32>
%2121 = torch.aten.mul.Tensor %2120, %308 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_826 = torch.constant.int 12
%2122 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2123 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2124 = torch.aten.quantize_per_tensor %2121, %2122, %2123, %int12_826 : !torch.vtensor<[32,1024,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%2125 = torch.aten.int_repr %2124 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],si8>
%2126 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2127 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2128 = torch.aten._make_per_tensor_quantized_tensor %2125, %2126, %2127 : !torch.vtensor<[32,1024,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%2129 = torch.aten.dequantize.self %2128 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_827 = torch.constant.int 12
%2130 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2131 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2132 = torch.aten.quantize_per_tensor %124, %2130, %2131, %int12_827 : !torch.vtensor<[128,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,1024,1,1],!torch.qint8>
%2133 = torch.aten.int_repr %2132 : !torch.vtensor<[128,1024,1,1],!torch.qint8> -> !torch.vtensor<[128,1024,1,1],si8>
%2134 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2135 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2136 = torch.aten._make_per_tensor_quantized_tensor %2133, %2134, %2135 : !torch.vtensor<[128,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,1024,1,1],!torch.qint8>
%2137 = torch.aten.dequantize.self %2136 : !torch.vtensor<[128,1024,1,1],!torch.qint8> -> !torch.vtensor<[128,1024,1,1],f32>
%int12_828 = torch.constant.int 12
%2138 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2139 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2140 = torch.aten.quantize_per_tensor %125, %2138, %2139, %int12_828 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
%2141 = torch.aten.int_repr %2140 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
%2142 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2143 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2144 = torch.aten._make_per_tensor_quantized_tensor %2141, %2142, %2143 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
%2145 = torch.aten.dequantize.self %2144 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
%int0_829 = torch.constant.int 0
%int0_830 = torch.constant.int 0
%int1_831 = torch.constant.int 1
%int1_832 = torch.constant.int 1
%int1_833 = torch.constant.int 1
%int1_834 = torch.constant.int 1
%int0_835 = torch.constant.int 0
%2146 = torch.prim.ListConstruct %int0_829, %int0_830 : (!torch.int, !torch.int) -> !torch.list<int>
%2147 = torch.prim.ListConstruct %int1_831, %int1_832 : (!torch.int, !torch.int) -> !torch.list<int>
%2148 = torch.prim.ListConstruct %int1_833, %int1_834 : (!torch.int, !torch.int) -> !torch.list<int>
%2149 = torch.prim.ListConstruct %int0_835, %int0_835 : (!torch.int, !torch.int) -> !torch.list<int>
%false_836 = torch.constant.bool false
%int1_837 = torch.constant.int 1
%2150 = torch.aten.convolution %2129, %2137, %2145, %2148, %2146, %2147, %false_836, %2149, %int1_837 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[128,1024,1,1],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,128,12,12],f32>
%2151 = torch.aten.relu %2150 : !torch.vtensor<[32,128,12,12],f32> -> !torch.vtensor<[32,128,12,12],f32>
%2152 = torch.prim.ListConstruct %1892, %1974, %2116, %2151 : (!torch.vtensor<[32,384,12,12],f32>, !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[32,128,12,12],f32>) -> !torch.list<vtensor>
%int1_838 = torch.constant.int 1
%2153 = torch.aten.cat %2152, %int1_838 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,1024,12,12],f32>
%int12_839 = torch.constant.int 12
%2154 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2155 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2156 = torch.aten.quantize_per_tensor %2153, %2154, %2155, %int12_839 : !torch.vtensor<[32,1024,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%2157 = torch.aten.int_repr %2156 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],si8>
%2158 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2159 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2160 = torch.aten._make_per_tensor_quantized_tensor %2157, %2158, %2159 : !torch.vtensor<[32,1024,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%2161 = torch.aten.dequantize.self %2160 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_840 = torch.constant.int 12
%2162 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2163 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2164 = torch.aten.quantize_per_tensor %126, %2162, %2163, %int12_840 : !torch.vtensor<[384,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384,1024,1,1],!torch.qint8>
%2165 = torch.aten.int_repr %2164 : !torch.vtensor<[384,1024,1,1],!torch.qint8> -> !torch.vtensor<[384,1024,1,1],si8>
%2166 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2167 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2168 = torch.aten._make_per_tensor_quantized_tensor %2165, %2166, %2167 : !torch.vtensor<[384,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[384,1024,1,1],!torch.qint8>
%2169 = torch.aten.dequantize.self %2168 : !torch.vtensor<[384,1024,1,1],!torch.qint8> -> !torch.vtensor<[384,1024,1,1],f32>
%int12_841 = torch.constant.int 12
%2170 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2171 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2172 = torch.aten.quantize_per_tensor %127, %2170, %2171, %int12_841 : !torch.vtensor<[384],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%2173 = torch.aten.int_repr %2172 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],si8>
%2174 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2175 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2176 = torch.aten._make_per_tensor_quantized_tensor %2173, %2174, %2175 : !torch.vtensor<[384],si8>, !torch.float, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%2177 = torch.aten.dequantize.self %2176 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],f32>
%int0_842 = torch.constant.int 0
%int0_843 = torch.constant.int 0
%int1_844 = torch.constant.int 1
%int1_845 = torch.constant.int 1
%int1_846 = torch.constant.int 1
%int1_847 = torch.constant.int 1
%int0_848 = torch.constant.int 0
%2178 = torch.prim.ListConstruct %int0_842, %int0_843 : (!torch.int, !torch.int) -> !torch.list<int>
%2179 = torch.prim.ListConstruct %int1_844, %int1_845 : (!torch.int, !torch.int) -> !torch.list<int>
%2180 = torch.prim.ListConstruct %int1_846, %int1_847 : (!torch.int, !torch.int) -> !torch.list<int>
%2181 = torch.prim.ListConstruct %int0_848, %int0_848 : (!torch.int, !torch.int) -> !torch.list<int>
%false_849 = torch.constant.bool false
%int1_850 = torch.constant.int 1
%2182 = torch.aten.convolution %2161, %2169, %2177, %2180, %2178, %2179, %false_849, %2181, %int1_850 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[384,1024,1,1],f32>, !torch.vtensor<[384],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,384,12,12],f32>
%2183 = torch.aten.relu %2182 : !torch.vtensor<[32,384,12,12],f32> -> !torch.vtensor<[32,384,12,12],f32>
%int12_851 = torch.constant.int 12
%2184 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2185 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2186 = torch.aten.quantize_per_tensor %128, %2184, %2185, %int12_851 : !torch.vtensor<[192,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%2187 = torch.aten.int_repr %2186 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],si8>
%2188 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2189 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2190 = torch.aten._make_per_tensor_quantized_tensor %2187, %2188, %2189 : !torch.vtensor<[192,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%2191 = torch.aten.dequantize.self %2190 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],f32>
%int12_852 = torch.constant.int 12
%2192 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2193 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2194 = torch.aten.quantize_per_tensor %129, %2192, %2193, %int12_852 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2195 = torch.aten.int_repr %2194 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%2196 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2197 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2198 = torch.aten._make_per_tensor_quantized_tensor %2195, %2196, %2197 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2199 = torch.aten.dequantize.self %2198 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_853 = torch.constant.int 0
%int0_854 = torch.constant.int 0
%int1_855 = torch.constant.int 1
%int1_856 = torch.constant.int 1
%int1_857 = torch.constant.int 1
%int1_858 = torch.constant.int 1
%int0_859 = torch.constant.int 0
%2200 = torch.prim.ListConstruct %int0_853, %int0_854 : (!torch.int, !torch.int) -> !torch.list<int>
%2201 = torch.prim.ListConstruct %int1_855, %int1_856 : (!torch.int, !torch.int) -> !torch.list<int>
%2202 = torch.prim.ListConstruct %int1_857, %int1_858 : (!torch.int, !torch.int) -> !torch.list<int>
%2203 = torch.prim.ListConstruct %int0_859, %int0_859 : (!torch.int, !torch.int) -> !torch.list<int>
%false_860 = torch.constant.bool false
%int1_861 = torch.constant.int 1
%2204 = torch.aten.convolution %2161, %2191, %2199, %2202, %2200, %2201, %false_860, %2203, %int1_861 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[192,1024,1,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%2205 = torch.aten.relu %2204 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_862 = torch.constant.int 12
%2206 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2207 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2208 = torch.aten.quantize_per_tensor %2205, %2206, %2207, %int12_862 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2209 = torch.aten.int_repr %2208 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%2210 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2211 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2212 = torch.aten._make_per_tensor_quantized_tensor %2209, %2210, %2211 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2213 = torch.aten.dequantize.self %2212 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_863 = torch.constant.int 12
%2214 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2215 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2216 = torch.aten.quantize_per_tensor %130, %2214, %2215, %int12_863 : !torch.vtensor<[224,192,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%2217 = torch.aten.int_repr %2216 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],si8>
%2218 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2219 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2220 = torch.aten._make_per_tensor_quantized_tensor %2217, %2218, %2219 : !torch.vtensor<[224,192,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%2221 = torch.aten.dequantize.self %2220 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],f32>
%int12_864 = torch.constant.int 12
%2222 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2223 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2224 = torch.aten.quantize_per_tensor %131, %2222, %2223, %int12_864 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2225 = torch.aten.int_repr %2224 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%2226 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2227 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2228 = torch.aten._make_per_tensor_quantized_tensor %2225, %2226, %2227 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2229 = torch.aten.dequantize.self %2228 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int0_865 = torch.constant.int 0
%int3_866 = torch.constant.int 3
%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
%2230 = torch.prim.ListConstruct %int0_865, %int3_866 : (!torch.int, !torch.int) -> !torch.list<int>
%2231 = torch.prim.ListConstruct %int1_867, %int1_868 : (!torch.int, !torch.int) -> !torch.list<int>
%2232 = torch.prim.ListConstruct %int1_869, %int1_870 : (!torch.int, !torch.int) -> !torch.list<int>
%2233 = 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
%2234 = torch.aten.convolution %2213, %2221, %2229, %2232, %2230, %2231, %false_872, %2233, %int1_873 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[224,192,1,7],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%2235 = torch.aten.relu %2234 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_874 = torch.constant.int 12
%2236 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2237 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2238 = torch.aten.quantize_per_tensor %2235, %2236, %2237, %int12_874 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2239 = torch.aten.int_repr %2238 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%2240 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2241 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2242 = torch.aten._make_per_tensor_quantized_tensor %2239, %2240, %2241 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2243 = torch.aten.dequantize.self %2242 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_875 = torch.constant.int 12
%2244 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2245 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2246 = torch.aten.quantize_per_tensor %132, %2244, %2245, %int12_875 : !torch.vtensor<[256,224,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,224,7,1],!torch.qint8>
%2247 = torch.aten.int_repr %2246 : !torch.vtensor<[256,224,7,1],!torch.qint8> -> !torch.vtensor<[256,224,7,1],si8>
%2248 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2249 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2250 = torch.aten._make_per_tensor_quantized_tensor %2247, %2248, %2249 : !torch.vtensor<[256,224,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,224,7,1],!torch.qint8>
%2251 = torch.aten.dequantize.self %2250 : !torch.vtensor<[256,224,7,1],!torch.qint8> -> !torch.vtensor<[256,224,7,1],f32>
%int12_876 = torch.constant.int 12
%2252 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2253 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2254 = torch.aten.quantize_per_tensor %133, %2252, %2253, %int12_876 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%2255 = torch.aten.int_repr %2254 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%2256 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2257 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2258 = torch.aten._make_per_tensor_quantized_tensor %2255, %2256, %2257 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%2259 = torch.aten.dequantize.self %2258 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int3_877 = torch.constant.int 3
%int0_878 = torch.constant.int 0
%int1_879 = torch.constant.int 1
%int1_880 = torch.constant.int 1
%int1_881 = torch.constant.int 1
%int1_882 = torch.constant.int 1
%int0_883 = torch.constant.int 0
%2260 = torch.prim.ListConstruct %int3_877, %int0_878 : (!torch.int, !torch.int) -> !torch.list<int>
%2261 = torch.prim.ListConstruct %int1_879, %int1_880 : (!torch.int, !torch.int) -> !torch.list<int>
%2262 = torch.prim.ListConstruct %int1_881, %int1_882 : (!torch.int, !torch.int) -> !torch.list<int>
%2263 = torch.prim.ListConstruct %int0_883, %int0_883 : (!torch.int, !torch.int) -> !torch.list<int>
%false_884 = torch.constant.bool false
%int1_885 = torch.constant.int 1
%2264 = torch.aten.convolution %2243, %2251, %2259, %2262, %2260, %2261, %false_884, %2263, %int1_885 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[256,224,7,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%2265 = torch.aten.relu %2264 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int12_886 = torch.constant.int 12
%2266 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2267 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2268 = torch.aten.quantize_per_tensor %134, %2266, %2267, %int12_886 : !torch.vtensor<[192,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%2269 = torch.aten.int_repr %2268 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],si8>
%2270 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2271 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2272 = torch.aten._make_per_tensor_quantized_tensor %2269, %2270, %2271 : !torch.vtensor<[192,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%2273 = torch.aten.dequantize.self %2272 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],f32>
%int12_887 = torch.constant.int 12
%2274 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2275 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2276 = torch.aten.quantize_per_tensor %135, %2274, %2275, %int12_887 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2277 = torch.aten.int_repr %2276 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%2278 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2279 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2280 = torch.aten._make_per_tensor_quantized_tensor %2277, %2278, %2279 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2281 = torch.aten.dequantize.self %2280 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_888 = torch.constant.int 0
%int0_889 = torch.constant.int 0
%int1_890 = torch.constant.int 1
%int1_891 = torch.constant.int 1
%int1_892 = torch.constant.int 1
%int1_893 = torch.constant.int 1
%int0_894 = torch.constant.int 0
%2282 = torch.prim.ListConstruct %int0_888, %int0_889 : (!torch.int, !torch.int) -> !torch.list<int>
%2283 = torch.prim.ListConstruct %int1_890, %int1_891 : (!torch.int, !torch.int) -> !torch.list<int>
%2284 = torch.prim.ListConstruct %int1_892, %int1_893 : (!torch.int, !torch.int) -> !torch.list<int>
%2285 = torch.prim.ListConstruct %int0_894, %int0_894 : (!torch.int, !torch.int) -> !torch.list<int>
%false_895 = torch.constant.bool false
%int1_896 = torch.constant.int 1
%2286 = torch.aten.convolution %2161, %2273, %2281, %2284, %2282, %2283, %false_895, %2285, %int1_896 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[192,1024,1,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%2287 = torch.aten.relu %2286 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_897 = torch.constant.int 12
%2288 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2289 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2290 = torch.aten.quantize_per_tensor %2287, %2288, %2289, %int12_897 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2291 = torch.aten.int_repr %2290 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%2292 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2293 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2294 = torch.aten._make_per_tensor_quantized_tensor %2291, %2292, %2293 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2295 = torch.aten.dequantize.self %2294 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_898 = torch.constant.int 12
%2296 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2297 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2298 = torch.aten.quantize_per_tensor %136, %2296, %2297, %int12_898 : !torch.vtensor<[192,192,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,192,7,1],!torch.qint8>
%2299 = torch.aten.int_repr %2298 : !torch.vtensor<[192,192,7,1],!torch.qint8> -> !torch.vtensor<[192,192,7,1],si8>
%2300 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2301 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2302 = torch.aten._make_per_tensor_quantized_tensor %2299, %2300, %2301 : !torch.vtensor<[192,192,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,192,7,1],!torch.qint8>
%2303 = torch.aten.dequantize.self %2302 : !torch.vtensor<[192,192,7,1],!torch.qint8> -> !torch.vtensor<[192,192,7,1],f32>
%int12_899 = torch.constant.int 12
%2304 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%2305 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2306 = torch.aten.quantize_per_tensor %137, %2304, %2305, %int12_899 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2307 = torch.aten.int_repr %2306 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%2308 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%2309 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2310 = torch.aten._make_per_tensor_quantized_tensor %2307, %2308, %2309 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2311 = torch.aten.dequantize.self %2310 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int3_900 = torch.constant.int 3
%int0_901 = torch.constant.int 0
%int1_902 = torch.constant.int 1
%int1_903 = torch.constant.int 1
%int1_904 = torch.constant.int 1
%int1_905 = torch.constant.int 1
%int0_906 = torch.constant.int 0
%2312 = torch.prim.ListConstruct %int3_900, %int0_901 : (!torch.int, !torch.int) -> !torch.list<int>
%2313 = torch.prim.ListConstruct %int1_902, %int1_903 : (!torch.int, !torch.int) -> !torch.list<int>
%2314 = torch.prim.ListConstruct %int1_904, %int1_905 : (!torch.int, !torch.int) -> !torch.list<int>
%2315 = torch.prim.ListConstruct %int0_906, %int0_906 : (!torch.int, !torch.int) -> !torch.list<int>
%false_907 = torch.constant.bool false
%int1_908 = torch.constant.int 1
%2316 = torch.aten.convolution %2295, %2303, %2311, %2314, %2312, %2313, %false_907, %2315, %int1_908 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[192,192,7,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%2317 = torch.aten.relu %2316 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_909 = torch.constant.int 12
%2318 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%2319 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2320 = torch.aten.quantize_per_tensor %2317, %2318, %2319, %int12_909 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2321 = torch.aten.int_repr %2320 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%2322 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%2323 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2324 = torch.aten._make_per_tensor_quantized_tensor %2321, %2322, %2323 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2325 = torch.aten.dequantize.self %2324 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_910 = torch.constant.int 12
%2326 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2327 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2328 = torch.aten.quantize_per_tensor %138, %2326, %2327, %int12_910 : !torch.vtensor<[224,192,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%2329 = torch.aten.int_repr %2328 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],si8>
%2330 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2331 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2332 = torch.aten._make_per_tensor_quantized_tensor %2329, %2330, %2331 : !torch.vtensor<[224,192,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%2333 = torch.aten.dequantize.self %2332 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],f32>
%int12_911 = torch.constant.int 12
%2334 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%2335 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2336 = torch.aten.quantize_per_tensor %139, %2334, %2335, %int12_911 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2337 = torch.aten.int_repr %2336 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%2338 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%2339 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2340 = torch.aten._make_per_tensor_quantized_tensor %2337, %2338, %2339 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2341 = torch.aten.dequantize.self %2340 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int0_912 = torch.constant.int 0
%int3_913 = torch.constant.int 3
%int1_914 = torch.constant.int 1
%int1_915 = torch.constant.int 1
%int1_916 = torch.constant.int 1
%int1_917 = torch.constant.int 1
%int0_918 = torch.constant.int 0
%2342 = torch.prim.ListConstruct %int0_912, %int3_913 : (!torch.int, !torch.int) -> !torch.list<int>
%2343 = torch.prim.ListConstruct %int1_914, %int1_915 : (!torch.int, !torch.int) -> !torch.list<int>
%2344 = torch.prim.ListConstruct %int1_916, %int1_917 : (!torch.int, !torch.int) -> !torch.list<int>
%2345 = torch.prim.ListConstruct %int0_918, %int0_918 : (!torch.int, !torch.int) -> !torch.list<int>
%false_919 = torch.constant.bool false
%int1_920 = torch.constant.int 1
%2346 = torch.aten.convolution %2325, %2333, %2341, %2344, %2342, %2343, %false_919, %2345, %int1_920 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[224,192,1,7],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%2347 = torch.aten.relu %2346 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_921 = torch.constant.int 12
%2348 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2349 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2350 = torch.aten.quantize_per_tensor %2347, %2348, %2349, %int12_921 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2351 = torch.aten.int_repr %2350 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%2352 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2353 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2354 = torch.aten._make_per_tensor_quantized_tensor %2351, %2352, %2353 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2355 = torch.aten.dequantize.self %2354 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_922 = torch.constant.int 12
%2356 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2357 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2358 = torch.aten.quantize_per_tensor %140, %2356, %2357, %int12_922 : !torch.vtensor<[224,224,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,224,7,1],!torch.qint8>
%2359 = torch.aten.int_repr %2358 : !torch.vtensor<[224,224,7,1],!torch.qint8> -> !torch.vtensor<[224,224,7,1],si8>
%2360 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2361 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2362 = torch.aten._make_per_tensor_quantized_tensor %2359, %2360, %2361 : !torch.vtensor<[224,224,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,224,7,1],!torch.qint8>
%2363 = torch.aten.dequantize.self %2362 : !torch.vtensor<[224,224,7,1],!torch.qint8> -> !torch.vtensor<[224,224,7,1],f32>
%int12_923 = torch.constant.int 12
%2364 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%2365 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2366 = torch.aten.quantize_per_tensor %141, %2364, %2365, %int12_923 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2367 = torch.aten.int_repr %2366 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%2368 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%2369 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2370 = torch.aten._make_per_tensor_quantized_tensor %2367, %2368, %2369 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2371 = torch.aten.dequantize.self %2370 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int3_924 = torch.constant.int 3
%int0_925 = torch.constant.int 0
%int1_926 = torch.constant.int 1
%int1_927 = torch.constant.int 1
%int1_928 = torch.constant.int 1
%int1_929 = torch.constant.int 1
%int0_930 = torch.constant.int 0
%2372 = torch.prim.ListConstruct %int3_924, %int0_925 : (!torch.int, !torch.int) -> !torch.list<int>
%2373 = torch.prim.ListConstruct %int1_926, %int1_927 : (!torch.int, !torch.int) -> !torch.list<int>
%2374 = torch.prim.ListConstruct %int1_928, %int1_929 : (!torch.int, !torch.int) -> !torch.list<int>
%2375 = torch.prim.ListConstruct %int0_930, %int0_930 : (!torch.int, !torch.int) -> !torch.list<int>
%false_931 = torch.constant.bool false
%int1_932 = torch.constant.int 1
%2376 = torch.aten.convolution %2355, %2363, %2371, %2374, %2372, %2373, %false_931, %2375, %int1_932 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[224,224,7,1],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%2377 = torch.aten.relu %2376 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_933 = torch.constant.int 12
%2378 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2379 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2380 = torch.aten.quantize_per_tensor %2377, %2378, %2379, %int12_933 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2381 = torch.aten.int_repr %2380 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%2382 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2383 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2384 = torch.aten._make_per_tensor_quantized_tensor %2381, %2382, %2383 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2385 = torch.aten.dequantize.self %2384 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_934 = torch.constant.int 12
%2386 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2387 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2388 = torch.aten.quantize_per_tensor %142, %2386, %2387, %int12_934 : !torch.vtensor<[256,224,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,224,1,7],!torch.qint8>
%2389 = torch.aten.int_repr %2388 : !torch.vtensor<[256,224,1,7],!torch.qint8> -> !torch.vtensor<[256,224,1,7],si8>
%2390 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2391 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2392 = torch.aten._make_per_tensor_quantized_tensor %2389, %2390, %2391 : !torch.vtensor<[256,224,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,224,1,7],!torch.qint8>
%2393 = torch.aten.dequantize.self %2392 : !torch.vtensor<[256,224,1,7],!torch.qint8> -> !torch.vtensor<[256,224,1,7],f32>
%int12_935 = torch.constant.int 12
%2394 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2395 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2396 = torch.aten.quantize_per_tensor %143, %2394, %2395, %int12_935 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%2397 = torch.aten.int_repr %2396 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%2398 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2399 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2400 = torch.aten._make_per_tensor_quantized_tensor %2397, %2398, %2399 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%2401 = torch.aten.dequantize.self %2400 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_936 = torch.constant.int 0
%int3_937 = torch.constant.int 3
%int1_938 = torch.constant.int 1
%int1_939 = torch.constant.int 1
%int1_940 = torch.constant.int 1
%int1_941 = torch.constant.int 1
%int0_942 = torch.constant.int 0
%2402 = torch.prim.ListConstruct %int0_936, %int3_937 : (!torch.int, !torch.int) -> !torch.list<int>
%2403 = torch.prim.ListConstruct %int1_938, %int1_939 : (!torch.int, !torch.int) -> !torch.list<int>
%2404 = torch.prim.ListConstruct %int1_940, %int1_941 : (!torch.int, !torch.int) -> !torch.list<int>
%2405 = torch.prim.ListConstruct %int0_942, %int0_942 : (!torch.int, !torch.int) -> !torch.list<int>
%false_943 = torch.constant.bool false
%int1_944 = torch.constant.int 1
%2406 = torch.aten.convolution %2385, %2393, %2401, %2404, %2402, %2403, %false_943, %2405, %int1_944 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[256,224,1,7],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%2407 = torch.aten.relu %2406 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int3_945 = torch.constant.int 3
%int3_946 = torch.constant.int 3
%int1_947 = torch.constant.int 1
%int1_948 = torch.constant.int 1
%int1_949 = torch.constant.int 1
%int1_950 = torch.constant.int 1
%int1_951 = torch.constant.int 1
%int1_952 = torch.constant.int 1
%2408 = torch.prim.ListConstruct %int3_945, %int3_946 : (!torch.int, !torch.int) -> !torch.list<int>
%2409 = torch.prim.ListConstruct %int1_947, %int1_948, %int1_949, %int1_950 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
%2410 = torch.prim.ListConstruct %int1_951, %int1_952 : (!torch.int, !torch.int) -> !torch.list<int>
%false_953 = torch.constant.bool false
%false_954 = torch.constant.bool false
%none_955 = torch.constant.none
%2411 = torch.aten.avg_pool2d %2161, %2408, %2410, %2409, %false_953, %false_954, %none_955 : !torch.vtensor<[32,1024,12,12],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[32,1024,12,12],f32>
%2412 = torch.aten.mul.Tensor %2411, %308 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_956 = torch.constant.int 12
%2413 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2414 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2415 = torch.aten.quantize_per_tensor %2412, %2413, %2414, %int12_956 : !torch.vtensor<[32,1024,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%2416 = torch.aten.int_repr %2415 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],si8>
%2417 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2418 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2419 = torch.aten._make_per_tensor_quantized_tensor %2416, %2417, %2418 : !torch.vtensor<[32,1024,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%2420 = torch.aten.dequantize.self %2419 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_957 = torch.constant.int 12
%2421 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2422 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2423 = torch.aten.quantize_per_tensor %144, %2421, %2422, %int12_957 : !torch.vtensor<[128,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,1024,1,1],!torch.qint8>
%2424 = torch.aten.int_repr %2423 : !torch.vtensor<[128,1024,1,1],!torch.qint8> -> !torch.vtensor<[128,1024,1,1],si8>
%2425 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2426 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2427 = torch.aten._make_per_tensor_quantized_tensor %2424, %2425, %2426 : !torch.vtensor<[128,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,1024,1,1],!torch.qint8>
%2428 = torch.aten.dequantize.self %2427 : !torch.vtensor<[128,1024,1,1],!torch.qint8> -> !torch.vtensor<[128,1024,1,1],f32>
%int12_958 = torch.constant.int 12
%2429 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2430 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2431 = torch.aten.quantize_per_tensor %145, %2429, %2430, %int12_958 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
%2432 = torch.aten.int_repr %2431 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
%2433 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2434 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2435 = torch.aten._make_per_tensor_quantized_tensor %2432, %2433, %2434 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
%2436 = torch.aten.dequantize.self %2435 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
%int0_959 = torch.constant.int 0
%int0_960 = torch.constant.int 0
%int1_961 = torch.constant.int 1
%int1_962 = torch.constant.int 1
%int1_963 = torch.constant.int 1
%int1_964 = torch.constant.int 1
%int0_965 = torch.constant.int 0
%2437 = torch.prim.ListConstruct %int0_959, %int0_960 : (!torch.int, !torch.int) -> !torch.list<int>
%2438 = torch.prim.ListConstruct %int1_961, %int1_962 : (!torch.int, !torch.int) -> !torch.list<int>
%2439 = torch.prim.ListConstruct %int1_963, %int1_964 : (!torch.int, !torch.int) -> !torch.list<int>
%2440 = torch.prim.ListConstruct %int0_965, %int0_965 : (!torch.int, !torch.int) -> !torch.list<int>
%false_966 = torch.constant.bool false
%int1_967 = torch.constant.int 1
%2441 = torch.aten.convolution %2420, %2428, %2436, %2439, %2437, %2438, %false_966, %2440, %int1_967 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[128,1024,1,1],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,128,12,12],f32>
%2442 = torch.aten.relu %2441 : !torch.vtensor<[32,128,12,12],f32> -> !torch.vtensor<[32,128,12,12],f32>
%2443 = torch.prim.ListConstruct %2183, %2265, %2407, %2442 : (!torch.vtensor<[32,384,12,12],f32>, !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[32,128,12,12],f32>) -> !torch.list<vtensor>
%int1_968 = torch.constant.int 1
%2444 = torch.aten.cat %2443, %int1_968 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,1024,12,12],f32>
%int12_969 = torch.constant.int 12
%2445 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2446 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2447 = torch.aten.quantize_per_tensor %2444, %2445, %2446, %int12_969 : !torch.vtensor<[32,1024,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%2448 = torch.aten.int_repr %2447 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],si8>
%2449 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2450 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2451 = torch.aten._make_per_tensor_quantized_tensor %2448, %2449, %2450 : !torch.vtensor<[32,1024,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%2452 = torch.aten.dequantize.self %2451 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_970 = torch.constant.int 12
%2453 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2454 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2455 = torch.aten.quantize_per_tensor %146, %2453, %2454, %int12_970 : !torch.vtensor<[384,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384,1024,1,1],!torch.qint8>
%2456 = torch.aten.int_repr %2455 : !torch.vtensor<[384,1024,1,1],!torch.qint8> -> !torch.vtensor<[384,1024,1,1],si8>
%2457 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2458 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2459 = torch.aten._make_per_tensor_quantized_tensor %2456, %2457, %2458 : !torch.vtensor<[384,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[384,1024,1,1],!torch.qint8>
%2460 = torch.aten.dequantize.self %2459 : !torch.vtensor<[384,1024,1,1],!torch.qint8> -> !torch.vtensor<[384,1024,1,1],f32>
%int12_971 = torch.constant.int 12
%2461 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2462 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2463 = torch.aten.quantize_per_tensor %147, %2461, %2462, %int12_971 : !torch.vtensor<[384],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%2464 = torch.aten.int_repr %2463 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],si8>
%2465 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2466 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2467 = torch.aten._make_per_tensor_quantized_tensor %2464, %2465, %2466 : !torch.vtensor<[384],si8>, !torch.float, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%2468 = torch.aten.dequantize.self %2467 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],f32>
%int0_972 = torch.constant.int 0
%int0_973 = torch.constant.int 0
%int1_974 = torch.constant.int 1
%int1_975 = torch.constant.int 1
%int1_976 = torch.constant.int 1
%int1_977 = torch.constant.int 1
%int0_978 = torch.constant.int 0
%2469 = torch.prim.ListConstruct %int0_972, %int0_973 : (!torch.int, !torch.int) -> !torch.list<int>
%2470 = torch.prim.ListConstruct %int1_974, %int1_975 : (!torch.int, !torch.int) -> !torch.list<int>
%2471 = torch.prim.ListConstruct %int1_976, %int1_977 : (!torch.int, !torch.int) -> !torch.list<int>
%2472 = torch.prim.ListConstruct %int0_978, %int0_978 : (!torch.int, !torch.int) -> !torch.list<int>
%false_979 = torch.constant.bool false
%int1_980 = torch.constant.int 1
%2473 = torch.aten.convolution %2452, %2460, %2468, %2471, %2469, %2470, %false_979, %2472, %int1_980 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[384,1024,1,1],f32>, !torch.vtensor<[384],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,384,12,12],f32>
%2474 = torch.aten.relu %2473 : !torch.vtensor<[32,384,12,12],f32> -> !torch.vtensor<[32,384,12,12],f32>
%int12_981 = torch.constant.int 12
%2475 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2476 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2477 = torch.aten.quantize_per_tensor %148, %2475, %2476, %int12_981 : !torch.vtensor<[192,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%2478 = torch.aten.int_repr %2477 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],si8>
%2479 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2480 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2481 = torch.aten._make_per_tensor_quantized_tensor %2478, %2479, %2480 : !torch.vtensor<[192,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%2482 = torch.aten.dequantize.self %2481 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],f32>
%int12_982 = torch.constant.int 12
%2483 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2484 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2485 = torch.aten.quantize_per_tensor %149, %2483, %2484, %int12_982 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2486 = torch.aten.int_repr %2485 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%2487 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2488 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2489 = torch.aten._make_per_tensor_quantized_tensor %2486, %2487, %2488 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2490 = torch.aten.dequantize.self %2489 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_983 = torch.constant.int 0
%int0_984 = torch.constant.int 0
%int1_985 = torch.constant.int 1
%int1_986 = torch.constant.int 1
%int1_987 = torch.constant.int 1
%int1_988 = torch.constant.int 1
%int0_989 = torch.constant.int 0
%2491 = torch.prim.ListConstruct %int0_983, %int0_984 : (!torch.int, !torch.int) -> !torch.list<int>
%2492 = torch.prim.ListConstruct %int1_985, %int1_986 : (!torch.int, !torch.int) -> !torch.list<int>
%2493 = torch.prim.ListConstruct %int1_987, %int1_988 : (!torch.int, !torch.int) -> !torch.list<int>
%2494 = torch.prim.ListConstruct %int0_989, %int0_989 : (!torch.int, !torch.int) -> !torch.list<int>
%false_990 = torch.constant.bool false
%int1_991 = torch.constant.int 1
%2495 = torch.aten.convolution %2452, %2482, %2490, %2493, %2491, %2492, %false_990, %2494, %int1_991 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[192,1024,1,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%2496 = torch.aten.relu %2495 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_992 = torch.constant.int 12
%2497 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2498 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2499 = torch.aten.quantize_per_tensor %2496, %2497, %2498, %int12_992 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2500 = torch.aten.int_repr %2499 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%2501 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2502 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2503 = torch.aten._make_per_tensor_quantized_tensor %2500, %2501, %2502 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2504 = torch.aten.dequantize.self %2503 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_993 = torch.constant.int 12
%2505 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2506 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2507 = torch.aten.quantize_per_tensor %150, %2505, %2506, %int12_993 : !torch.vtensor<[224,192,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%2508 = torch.aten.int_repr %2507 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],si8>
%2509 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2510 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2511 = torch.aten._make_per_tensor_quantized_tensor %2508, %2509, %2510 : !torch.vtensor<[224,192,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%2512 = torch.aten.dequantize.self %2511 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],f32>
%int12_994 = torch.constant.int 12
%2513 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%2514 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2515 = torch.aten.quantize_per_tensor %151, %2513, %2514, %int12_994 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2516 = torch.aten.int_repr %2515 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%2517 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%2518 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2519 = torch.aten._make_per_tensor_quantized_tensor %2516, %2517, %2518 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2520 = torch.aten.dequantize.self %2519 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int0_995 = torch.constant.int 0
%int3_996 = torch.constant.int 3
%int1_997 = torch.constant.int 1
%int1_998 = torch.constant.int 1
%int1_999 = torch.constant.int 1
%int1_1000 = torch.constant.int 1
%int0_1001 = torch.constant.int 0
%2521 = torch.prim.ListConstruct %int0_995, %int3_996 : (!torch.int, !torch.int) -> !torch.list<int>
%2522 = torch.prim.ListConstruct %int1_997, %int1_998 : (!torch.int, !torch.int) -> !torch.list<int>
%2523 = torch.prim.ListConstruct %int1_999, %int1_1000 : (!torch.int, !torch.int) -> !torch.list<int>
%2524 = torch.prim.ListConstruct %int0_1001, %int0_1001 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1002 = torch.constant.bool false
%int1_1003 = torch.constant.int 1
%2525 = torch.aten.convolution %2504, %2512, %2520, %2523, %2521, %2522, %false_1002, %2524, %int1_1003 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[224,192,1,7],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%2526 = torch.aten.relu %2525 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1004 = torch.constant.int 12
%2527 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2528 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2529 = torch.aten.quantize_per_tensor %2526, %2527, %2528, %int12_1004 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2530 = torch.aten.int_repr %2529 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%2531 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2532 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2533 = torch.aten._make_per_tensor_quantized_tensor %2530, %2531, %2532 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2534 = torch.aten.dequantize.self %2533 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1005 = torch.constant.int 12
%2535 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2536 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2537 = torch.aten.quantize_per_tensor %152, %2535, %2536, %int12_1005 : !torch.vtensor<[256,224,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,224,7,1],!torch.qint8>
%2538 = torch.aten.int_repr %2537 : !torch.vtensor<[256,224,7,1],!torch.qint8> -> !torch.vtensor<[256,224,7,1],si8>
%2539 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2540 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2541 = torch.aten._make_per_tensor_quantized_tensor %2538, %2539, %2540 : !torch.vtensor<[256,224,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,224,7,1],!torch.qint8>
%2542 = torch.aten.dequantize.self %2541 : !torch.vtensor<[256,224,7,1],!torch.qint8> -> !torch.vtensor<[256,224,7,1],f32>
%int12_1006 = torch.constant.int 12
%2543 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2544 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2545 = torch.aten.quantize_per_tensor %153, %2543, %2544, %int12_1006 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%2546 = torch.aten.int_repr %2545 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%2547 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2548 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2549 = torch.aten._make_per_tensor_quantized_tensor %2546, %2547, %2548 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%2550 = torch.aten.dequantize.self %2549 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int3_1007 = torch.constant.int 3
%int0_1008 = torch.constant.int 0
%int1_1009 = torch.constant.int 1
%int1_1010 = torch.constant.int 1
%int1_1011 = torch.constant.int 1
%int1_1012 = torch.constant.int 1
%int0_1013 = torch.constant.int 0
%2551 = torch.prim.ListConstruct %int3_1007, %int0_1008 : (!torch.int, !torch.int) -> !torch.list<int>
%2552 = torch.prim.ListConstruct %int1_1009, %int1_1010 : (!torch.int, !torch.int) -> !torch.list<int>
%2553 = torch.prim.ListConstruct %int1_1011, %int1_1012 : (!torch.int, !torch.int) -> !torch.list<int>
%2554 = torch.prim.ListConstruct %int0_1013, %int0_1013 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1014 = torch.constant.bool false
%int1_1015 = torch.constant.int 1
%2555 = torch.aten.convolution %2534, %2542, %2550, %2553, %2551, %2552, %false_1014, %2554, %int1_1015 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[256,224,7,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%2556 = torch.aten.relu %2555 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int12_1016 = torch.constant.int 12
%2557 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2558 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2559 = torch.aten.quantize_per_tensor %154, %2557, %2558, %int12_1016 : !torch.vtensor<[192,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%2560 = torch.aten.int_repr %2559 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],si8>
%2561 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2562 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2563 = torch.aten._make_per_tensor_quantized_tensor %2560, %2561, %2562 : !torch.vtensor<[192,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%2564 = torch.aten.dequantize.self %2563 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],f32>
%int12_1017 = torch.constant.int 12
%2565 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2566 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2567 = torch.aten.quantize_per_tensor %155, %2565, %2566, %int12_1017 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2568 = torch.aten.int_repr %2567 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%2569 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2570 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2571 = torch.aten._make_per_tensor_quantized_tensor %2568, %2569, %2570 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2572 = torch.aten.dequantize.self %2571 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_1018 = torch.constant.int 0
%int0_1019 = torch.constant.int 0
%int1_1020 = torch.constant.int 1
%int1_1021 = torch.constant.int 1
%int1_1022 = torch.constant.int 1
%int1_1023 = torch.constant.int 1
%int0_1024 = torch.constant.int 0
%2573 = torch.prim.ListConstruct %int0_1018, %int0_1019 : (!torch.int, !torch.int) -> !torch.list<int>
%2574 = torch.prim.ListConstruct %int1_1020, %int1_1021 : (!torch.int, !torch.int) -> !torch.list<int>
%2575 = torch.prim.ListConstruct %int1_1022, %int1_1023 : (!torch.int, !torch.int) -> !torch.list<int>
%2576 = torch.prim.ListConstruct %int0_1024, %int0_1024 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1025 = torch.constant.bool false
%int1_1026 = torch.constant.int 1
%2577 = torch.aten.convolution %2452, %2564, %2572, %2575, %2573, %2574, %false_1025, %2576, %int1_1026 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[192,1024,1,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%2578 = torch.aten.relu %2577 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1027 = torch.constant.int 12
%2579 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2580 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2581 = torch.aten.quantize_per_tensor %2578, %2579, %2580, %int12_1027 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2582 = torch.aten.int_repr %2581 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%2583 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2584 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2585 = torch.aten._make_per_tensor_quantized_tensor %2582, %2583, %2584 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2586 = torch.aten.dequantize.self %2585 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1028 = torch.constant.int 12
%2587 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2588 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2589 = torch.aten.quantize_per_tensor %156, %2587, %2588, %int12_1028 : !torch.vtensor<[192,192,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,192,7,1],!torch.qint8>
%2590 = torch.aten.int_repr %2589 : !torch.vtensor<[192,192,7,1],!torch.qint8> -> !torch.vtensor<[192,192,7,1],si8>
%2591 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2592 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2593 = torch.aten._make_per_tensor_quantized_tensor %2590, %2591, %2592 : !torch.vtensor<[192,192,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,192,7,1],!torch.qint8>
%2594 = torch.aten.dequantize.self %2593 : !torch.vtensor<[192,192,7,1],!torch.qint8> -> !torch.vtensor<[192,192,7,1],f32>
%int12_1029 = torch.constant.int 12
%2595 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2596 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2597 = torch.aten.quantize_per_tensor %157, %2595, %2596, %int12_1029 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2598 = torch.aten.int_repr %2597 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%2599 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2600 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2601 = torch.aten._make_per_tensor_quantized_tensor %2598, %2599, %2600 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2602 = torch.aten.dequantize.self %2601 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int3_1030 = torch.constant.int 3
%int0_1031 = torch.constant.int 0
%int1_1032 = torch.constant.int 1
%int1_1033 = torch.constant.int 1
%int1_1034 = torch.constant.int 1
%int1_1035 = torch.constant.int 1
%int0_1036 = torch.constant.int 0
%2603 = torch.prim.ListConstruct %int3_1030, %int0_1031 : (!torch.int, !torch.int) -> !torch.list<int>
%2604 = torch.prim.ListConstruct %int1_1032, %int1_1033 : (!torch.int, !torch.int) -> !torch.list<int>
%2605 = torch.prim.ListConstruct %int1_1034, %int1_1035 : (!torch.int, !torch.int) -> !torch.list<int>
%2606 = torch.prim.ListConstruct %int0_1036, %int0_1036 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1037 = torch.constant.bool false
%int1_1038 = torch.constant.int 1
%2607 = torch.aten.convolution %2586, %2594, %2602, %2605, %2603, %2604, %false_1037, %2606, %int1_1038 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[192,192,7,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%2608 = torch.aten.relu %2607 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1039 = torch.constant.int 12
%2609 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2610 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2611 = torch.aten.quantize_per_tensor %2608, %2609, %2610, %int12_1039 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2612 = torch.aten.int_repr %2611 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%2613 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2614 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2615 = torch.aten._make_per_tensor_quantized_tensor %2612, %2613, %2614 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2616 = torch.aten.dequantize.self %2615 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1040 = torch.constant.int 12
%2617 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2618 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2619 = torch.aten.quantize_per_tensor %158, %2617, %2618, %int12_1040 : !torch.vtensor<[224,192,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%2620 = torch.aten.int_repr %2619 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],si8>
%2621 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2622 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2623 = torch.aten._make_per_tensor_quantized_tensor %2620, %2621, %2622 : !torch.vtensor<[224,192,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%2624 = torch.aten.dequantize.self %2623 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],f32>
%int12_1041 = torch.constant.int 12
%2625 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%2626 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2627 = torch.aten.quantize_per_tensor %159, %2625, %2626, %int12_1041 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2628 = torch.aten.int_repr %2627 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%2629 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%2630 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2631 = torch.aten._make_per_tensor_quantized_tensor %2628, %2629, %2630 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2632 = torch.aten.dequantize.self %2631 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int0_1042 = torch.constant.int 0
%int3_1043 = torch.constant.int 3
%int1_1044 = torch.constant.int 1
%int1_1045 = torch.constant.int 1
%int1_1046 = torch.constant.int 1
%int1_1047 = torch.constant.int 1
%int0_1048 = torch.constant.int 0
%2633 = torch.prim.ListConstruct %int0_1042, %int3_1043 : (!torch.int, !torch.int) -> !torch.list<int>
%2634 = torch.prim.ListConstruct %int1_1044, %int1_1045 : (!torch.int, !torch.int) -> !torch.list<int>
%2635 = torch.prim.ListConstruct %int1_1046, %int1_1047 : (!torch.int, !torch.int) -> !torch.list<int>
%2636 = torch.prim.ListConstruct %int0_1048, %int0_1048 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1049 = torch.constant.bool false
%int1_1050 = torch.constant.int 1
%2637 = torch.aten.convolution %2616, %2624, %2632, %2635, %2633, %2634, %false_1049, %2636, %int1_1050 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[224,192,1,7],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%2638 = torch.aten.relu %2637 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1051 = torch.constant.int 12
%2639 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2640 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2641 = torch.aten.quantize_per_tensor %2638, %2639, %2640, %int12_1051 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2642 = torch.aten.int_repr %2641 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%2643 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2644 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2645 = torch.aten._make_per_tensor_quantized_tensor %2642, %2643, %2644 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2646 = torch.aten.dequantize.self %2645 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1052 = torch.constant.int 12
%2647 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2648 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2649 = torch.aten.quantize_per_tensor %160, %2647, %2648, %int12_1052 : !torch.vtensor<[224,224,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,224,7,1],!torch.qint8>
%2650 = torch.aten.int_repr %2649 : !torch.vtensor<[224,224,7,1],!torch.qint8> -> !torch.vtensor<[224,224,7,1],si8>
%2651 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2652 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2653 = torch.aten._make_per_tensor_quantized_tensor %2650, %2651, %2652 : !torch.vtensor<[224,224,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,224,7,1],!torch.qint8>
%2654 = torch.aten.dequantize.self %2653 : !torch.vtensor<[224,224,7,1],!torch.qint8> -> !torch.vtensor<[224,224,7,1],f32>
%int12_1053 = torch.constant.int 12
%2655 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%2656 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2657 = torch.aten.quantize_per_tensor %161, %2655, %2656, %int12_1053 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2658 = torch.aten.int_repr %2657 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%2659 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%2660 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2661 = torch.aten._make_per_tensor_quantized_tensor %2658, %2659, %2660 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2662 = torch.aten.dequantize.self %2661 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int3_1054 = torch.constant.int 3
%int0_1055 = torch.constant.int 0
%int1_1056 = torch.constant.int 1
%int1_1057 = torch.constant.int 1
%int1_1058 = torch.constant.int 1
%int1_1059 = torch.constant.int 1
%int0_1060 = torch.constant.int 0
%2663 = torch.prim.ListConstruct %int3_1054, %int0_1055 : (!torch.int, !torch.int) -> !torch.list<int>
%2664 = torch.prim.ListConstruct %int1_1056, %int1_1057 : (!torch.int, !torch.int) -> !torch.list<int>
%2665 = torch.prim.ListConstruct %int1_1058, %int1_1059 : (!torch.int, !torch.int) -> !torch.list<int>
%2666 = torch.prim.ListConstruct %int0_1060, %int0_1060 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1061 = torch.constant.bool false
%int1_1062 = torch.constant.int 1
%2667 = torch.aten.convolution %2646, %2654, %2662, %2665, %2663, %2664, %false_1061, %2666, %int1_1062 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[224,224,7,1],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%2668 = torch.aten.relu %2667 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1063 = torch.constant.int 12
%2669 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2670 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2671 = torch.aten.quantize_per_tensor %2668, %2669, %2670, %int12_1063 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2672 = torch.aten.int_repr %2671 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%2673 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2674 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2675 = torch.aten._make_per_tensor_quantized_tensor %2672, %2673, %2674 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2676 = torch.aten.dequantize.self %2675 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1064 = torch.constant.int 12
%2677 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2678 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2679 = torch.aten.quantize_per_tensor %162, %2677, %2678, %int12_1064 : !torch.vtensor<[256,224,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,224,1,7],!torch.qint8>
%2680 = torch.aten.int_repr %2679 : !torch.vtensor<[256,224,1,7],!torch.qint8> -> !torch.vtensor<[256,224,1,7],si8>
%2681 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2682 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2683 = torch.aten._make_per_tensor_quantized_tensor %2680, %2681, %2682 : !torch.vtensor<[256,224,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,224,1,7],!torch.qint8>
%2684 = torch.aten.dequantize.self %2683 : !torch.vtensor<[256,224,1,7],!torch.qint8> -> !torch.vtensor<[256,224,1,7],f32>
%int12_1065 = torch.constant.int 12
%2685 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2686 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2687 = torch.aten.quantize_per_tensor %163, %2685, %2686, %int12_1065 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%2688 = torch.aten.int_repr %2687 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%2689 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2690 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2691 = torch.aten._make_per_tensor_quantized_tensor %2688, %2689, %2690 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%2692 = torch.aten.dequantize.self %2691 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1066 = torch.constant.int 0
%int3_1067 = torch.constant.int 3
%int1_1068 = torch.constant.int 1
%int1_1069 = torch.constant.int 1
%int1_1070 = torch.constant.int 1
%int1_1071 = torch.constant.int 1
%int0_1072 = torch.constant.int 0
%2693 = torch.prim.ListConstruct %int0_1066, %int3_1067 : (!torch.int, !torch.int) -> !torch.list<int>
%2694 = torch.prim.ListConstruct %int1_1068, %int1_1069 : (!torch.int, !torch.int) -> !torch.list<int>
%2695 = torch.prim.ListConstruct %int1_1070, %int1_1071 : (!torch.int, !torch.int) -> !torch.list<int>
%2696 = torch.prim.ListConstruct %int0_1072, %int0_1072 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1073 = torch.constant.bool false
%int1_1074 = torch.constant.int 1
%2697 = torch.aten.convolution %2676, %2684, %2692, %2695, %2693, %2694, %false_1073, %2696, %int1_1074 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[256,224,1,7],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%2698 = torch.aten.relu %2697 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int3_1075 = torch.constant.int 3
%int3_1076 = torch.constant.int 3
%int1_1077 = torch.constant.int 1
%int1_1078 = torch.constant.int 1
%int1_1079 = torch.constant.int 1
%int1_1080 = torch.constant.int 1
%int1_1081 = torch.constant.int 1
%int1_1082 = torch.constant.int 1
%2699 = torch.prim.ListConstruct %int3_1075, %int3_1076 : (!torch.int, !torch.int) -> !torch.list<int>
%2700 = torch.prim.ListConstruct %int1_1077, %int1_1078, %int1_1079, %int1_1080 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
%2701 = torch.prim.ListConstruct %int1_1081, %int1_1082 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1083 = torch.constant.bool false
%false_1084 = torch.constant.bool false
%none_1085 = torch.constant.none
%2702 = torch.aten.avg_pool2d %2452, %2699, %2701, %2700, %false_1083, %false_1084, %none_1085 : !torch.vtensor<[32,1024,12,12],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[32,1024,12,12],f32>
%2703 = torch.aten.mul.Tensor %2702, %308 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_1086 = torch.constant.int 12
%2704 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2705 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2706 = torch.aten.quantize_per_tensor %2703, %2704, %2705, %int12_1086 : !torch.vtensor<[32,1024,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%2707 = torch.aten.int_repr %2706 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],si8>
%2708 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2709 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2710 = torch.aten._make_per_tensor_quantized_tensor %2707, %2708, %2709 : !torch.vtensor<[32,1024,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%2711 = torch.aten.dequantize.self %2710 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_1087 = torch.constant.int 12
%2712 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2713 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2714 = torch.aten.quantize_per_tensor %164, %2712, %2713, %int12_1087 : !torch.vtensor<[128,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,1024,1,1],!torch.qint8>
%2715 = torch.aten.int_repr %2714 : !torch.vtensor<[128,1024,1,1],!torch.qint8> -> !torch.vtensor<[128,1024,1,1],si8>
%2716 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2717 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2718 = torch.aten._make_per_tensor_quantized_tensor %2715, %2716, %2717 : !torch.vtensor<[128,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,1024,1,1],!torch.qint8>
%2719 = torch.aten.dequantize.self %2718 : !torch.vtensor<[128,1024,1,1],!torch.qint8> -> !torch.vtensor<[128,1024,1,1],f32>
%int12_1088 = torch.constant.int 12
%2720 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2721 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2722 = torch.aten.quantize_per_tensor %165, %2720, %2721, %int12_1088 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
%2723 = torch.aten.int_repr %2722 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
%2724 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2725 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2726 = torch.aten._make_per_tensor_quantized_tensor %2723, %2724, %2725 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
%2727 = torch.aten.dequantize.self %2726 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
%int0_1089 = torch.constant.int 0
%int0_1090 = torch.constant.int 0
%int1_1091 = torch.constant.int 1
%int1_1092 = torch.constant.int 1
%int1_1093 = torch.constant.int 1
%int1_1094 = torch.constant.int 1
%int0_1095 = torch.constant.int 0
%2728 = torch.prim.ListConstruct %int0_1089, %int0_1090 : (!torch.int, !torch.int) -> !torch.list<int>
%2729 = torch.prim.ListConstruct %int1_1091, %int1_1092 : (!torch.int, !torch.int) -> !torch.list<int>
%2730 = torch.prim.ListConstruct %int1_1093, %int1_1094 : (!torch.int, !torch.int) -> !torch.list<int>
%2731 = torch.prim.ListConstruct %int0_1095, %int0_1095 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1096 = torch.constant.bool false
%int1_1097 = torch.constant.int 1
%2732 = torch.aten.convolution %2711, %2719, %2727, %2730, %2728, %2729, %false_1096, %2731, %int1_1097 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[128,1024,1,1],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,128,12,12],f32>
%2733 = torch.aten.relu %2732 : !torch.vtensor<[32,128,12,12],f32> -> !torch.vtensor<[32,128,12,12],f32>
%2734 = torch.prim.ListConstruct %2474, %2556, %2698, %2733 : (!torch.vtensor<[32,384,12,12],f32>, !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[32,128,12,12],f32>) -> !torch.list<vtensor>
%int1_1098 = torch.constant.int 1
%2735 = torch.aten.cat %2734, %int1_1098 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,1024,12,12],f32>
%int12_1099 = torch.constant.int 12
%2736 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2737 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2738 = torch.aten.quantize_per_tensor %2735, %2736, %2737, %int12_1099 : !torch.vtensor<[32,1024,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%2739 = torch.aten.int_repr %2738 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],si8>
%2740 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2741 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2742 = torch.aten._make_per_tensor_quantized_tensor %2739, %2740, %2741 : !torch.vtensor<[32,1024,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%2743 = torch.aten.dequantize.self %2742 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_1100 = torch.constant.int 12
%2744 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2745 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2746 = torch.aten.quantize_per_tensor %166, %2744, %2745, %int12_1100 : !torch.vtensor<[384,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384,1024,1,1],!torch.qint8>
%2747 = torch.aten.int_repr %2746 : !torch.vtensor<[384,1024,1,1],!torch.qint8> -> !torch.vtensor<[384,1024,1,1],si8>
%2748 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2749 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2750 = torch.aten._make_per_tensor_quantized_tensor %2747, %2748, %2749 : !torch.vtensor<[384,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[384,1024,1,1],!torch.qint8>
%2751 = torch.aten.dequantize.self %2750 : !torch.vtensor<[384,1024,1,1],!torch.qint8> -> !torch.vtensor<[384,1024,1,1],f32>
%int12_1101 = torch.constant.int 12
%2752 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2753 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2754 = torch.aten.quantize_per_tensor %167, %2752, %2753, %int12_1101 : !torch.vtensor<[384],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%2755 = torch.aten.int_repr %2754 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],si8>
%2756 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2757 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2758 = torch.aten._make_per_tensor_quantized_tensor %2755, %2756, %2757 : !torch.vtensor<[384],si8>, !torch.float, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%2759 = torch.aten.dequantize.self %2758 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],f32>
%int0_1102 = torch.constant.int 0
%int0_1103 = torch.constant.int 0
%int1_1104 = torch.constant.int 1
%int1_1105 = torch.constant.int 1
%int1_1106 = torch.constant.int 1
%int1_1107 = torch.constant.int 1
%int0_1108 = torch.constant.int 0
%2760 = torch.prim.ListConstruct %int0_1102, %int0_1103 : (!torch.int, !torch.int) -> !torch.list<int>
%2761 = torch.prim.ListConstruct %int1_1104, %int1_1105 : (!torch.int, !torch.int) -> !torch.list<int>
%2762 = torch.prim.ListConstruct %int1_1106, %int1_1107 : (!torch.int, !torch.int) -> !torch.list<int>
%2763 = torch.prim.ListConstruct %int0_1108, %int0_1108 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1109 = torch.constant.bool false
%int1_1110 = torch.constant.int 1
%2764 = torch.aten.convolution %2743, %2751, %2759, %2762, %2760, %2761, %false_1109, %2763, %int1_1110 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[384,1024,1,1],f32>, !torch.vtensor<[384],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,384,12,12],f32>
%2765 = torch.aten.relu %2764 : !torch.vtensor<[32,384,12,12],f32> -> !torch.vtensor<[32,384,12,12],f32>
%int12_1111 = torch.constant.int 12
%2766 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2767 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2768 = torch.aten.quantize_per_tensor %168, %2766, %2767, %int12_1111 : !torch.vtensor<[192,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%2769 = torch.aten.int_repr %2768 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],si8>
%2770 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2771 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2772 = torch.aten._make_per_tensor_quantized_tensor %2769, %2770, %2771 : !torch.vtensor<[192,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%2773 = torch.aten.dequantize.self %2772 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],f32>
%int12_1112 = torch.constant.int 12
%2774 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2775 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2776 = torch.aten.quantize_per_tensor %169, %2774, %2775, %int12_1112 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2777 = torch.aten.int_repr %2776 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%2778 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2779 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2780 = torch.aten._make_per_tensor_quantized_tensor %2777, %2778, %2779 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2781 = torch.aten.dequantize.self %2780 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_1113 = torch.constant.int 0
%int0_1114 = torch.constant.int 0
%int1_1115 = torch.constant.int 1
%int1_1116 = torch.constant.int 1
%int1_1117 = torch.constant.int 1
%int1_1118 = torch.constant.int 1
%int0_1119 = torch.constant.int 0
%2782 = torch.prim.ListConstruct %int0_1113, %int0_1114 : (!torch.int, !torch.int) -> !torch.list<int>
%2783 = torch.prim.ListConstruct %int1_1115, %int1_1116 : (!torch.int, !torch.int) -> !torch.list<int>
%2784 = torch.prim.ListConstruct %int1_1117, %int1_1118 : (!torch.int, !torch.int) -> !torch.list<int>
%2785 = torch.prim.ListConstruct %int0_1119, %int0_1119 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1120 = torch.constant.bool false
%int1_1121 = torch.constant.int 1
%2786 = torch.aten.convolution %2743, %2773, %2781, %2784, %2782, %2783, %false_1120, %2785, %int1_1121 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[192,1024,1,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%2787 = torch.aten.relu %2786 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1122 = torch.constant.int 12
%2788 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2789 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2790 = torch.aten.quantize_per_tensor %2787, %2788, %2789, %int12_1122 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2791 = torch.aten.int_repr %2790 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%2792 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2793 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2794 = torch.aten._make_per_tensor_quantized_tensor %2791, %2792, %2793 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2795 = torch.aten.dequantize.self %2794 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1123 = torch.constant.int 12
%2796 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2797 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2798 = torch.aten.quantize_per_tensor %170, %2796, %2797, %int12_1123 : !torch.vtensor<[224,192,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%2799 = torch.aten.int_repr %2798 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],si8>
%2800 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2801 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2802 = torch.aten._make_per_tensor_quantized_tensor %2799, %2800, %2801 : !torch.vtensor<[224,192,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%2803 = torch.aten.dequantize.self %2802 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],f32>
%int12_1124 = torch.constant.int 12
%2804 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2805 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2806 = torch.aten.quantize_per_tensor %171, %2804, %2805, %int12_1124 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2807 = torch.aten.int_repr %2806 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%2808 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2809 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2810 = torch.aten._make_per_tensor_quantized_tensor %2807, %2808, %2809 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2811 = torch.aten.dequantize.self %2810 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int0_1125 = torch.constant.int 0
%int3_1126 = torch.constant.int 3
%int1_1127 = torch.constant.int 1
%int1_1128 = torch.constant.int 1
%int1_1129 = torch.constant.int 1
%int1_1130 = torch.constant.int 1
%int0_1131 = torch.constant.int 0
%2812 = torch.prim.ListConstruct %int0_1125, %int3_1126 : (!torch.int, !torch.int) -> !torch.list<int>
%2813 = torch.prim.ListConstruct %int1_1127, %int1_1128 : (!torch.int, !torch.int) -> !torch.list<int>
%2814 = torch.prim.ListConstruct %int1_1129, %int1_1130 : (!torch.int, !torch.int) -> !torch.list<int>
%2815 = torch.prim.ListConstruct %int0_1131, %int0_1131 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1132 = torch.constant.bool false
%int1_1133 = torch.constant.int 1
%2816 = torch.aten.convolution %2795, %2803, %2811, %2814, %2812, %2813, %false_1132, %2815, %int1_1133 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[224,192,1,7],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%2817 = torch.aten.relu %2816 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1134 = torch.constant.int 12
%2818 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2819 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2820 = torch.aten.quantize_per_tensor %2817, %2818, %2819, %int12_1134 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2821 = torch.aten.int_repr %2820 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%2822 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2823 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2824 = torch.aten._make_per_tensor_quantized_tensor %2821, %2822, %2823 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2825 = torch.aten.dequantize.self %2824 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1135 = torch.constant.int 12
%2826 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2827 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2828 = torch.aten.quantize_per_tensor %172, %2826, %2827, %int12_1135 : !torch.vtensor<[256,224,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,224,7,1],!torch.qint8>
%2829 = torch.aten.int_repr %2828 : !torch.vtensor<[256,224,7,1],!torch.qint8> -> !torch.vtensor<[256,224,7,1],si8>
%2830 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2831 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2832 = torch.aten._make_per_tensor_quantized_tensor %2829, %2830, %2831 : !torch.vtensor<[256,224,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,224,7,1],!torch.qint8>
%2833 = torch.aten.dequantize.self %2832 : !torch.vtensor<[256,224,7,1],!torch.qint8> -> !torch.vtensor<[256,224,7,1],f32>
%int12_1136 = torch.constant.int 12
%2834 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2835 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2836 = torch.aten.quantize_per_tensor %173, %2834, %2835, %int12_1136 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%2837 = torch.aten.int_repr %2836 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%2838 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2839 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2840 = torch.aten._make_per_tensor_quantized_tensor %2837, %2838, %2839 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%2841 = torch.aten.dequantize.self %2840 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int3_1137 = torch.constant.int 3
%int0_1138 = torch.constant.int 0
%int1_1139 = torch.constant.int 1
%int1_1140 = torch.constant.int 1
%int1_1141 = torch.constant.int 1
%int1_1142 = torch.constant.int 1
%int0_1143 = torch.constant.int 0
%2842 = torch.prim.ListConstruct %int3_1137, %int0_1138 : (!torch.int, !torch.int) -> !torch.list<int>
%2843 = torch.prim.ListConstruct %int1_1139, %int1_1140 : (!torch.int, !torch.int) -> !torch.list<int>
%2844 = torch.prim.ListConstruct %int1_1141, %int1_1142 : (!torch.int, !torch.int) -> !torch.list<int>
%2845 = torch.prim.ListConstruct %int0_1143, %int0_1143 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1144 = torch.constant.bool false
%int1_1145 = torch.constant.int 1
%2846 = torch.aten.convolution %2825, %2833, %2841, %2844, %2842, %2843, %false_1144, %2845, %int1_1145 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[256,224,7,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%2847 = torch.aten.relu %2846 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int12_1146 = torch.constant.int 12
%2848 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2849 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2850 = torch.aten.quantize_per_tensor %174, %2848, %2849, %int12_1146 : !torch.vtensor<[192,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%2851 = torch.aten.int_repr %2850 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],si8>
%2852 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2853 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2854 = torch.aten._make_per_tensor_quantized_tensor %2851, %2852, %2853 : !torch.vtensor<[192,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%2855 = torch.aten.dequantize.self %2854 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],f32>
%int12_1147 = torch.constant.int 12
%2856 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2857 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2858 = torch.aten.quantize_per_tensor %175, %2856, %2857, %int12_1147 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2859 = torch.aten.int_repr %2858 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%2860 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2861 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2862 = torch.aten._make_per_tensor_quantized_tensor %2859, %2860, %2861 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2863 = torch.aten.dequantize.self %2862 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_1148 = torch.constant.int 0
%int0_1149 = torch.constant.int 0
%int1_1150 = torch.constant.int 1
%int1_1151 = torch.constant.int 1
%int1_1152 = torch.constant.int 1
%int1_1153 = torch.constant.int 1
%int0_1154 = torch.constant.int 0
%2864 = torch.prim.ListConstruct %int0_1148, %int0_1149 : (!torch.int, !torch.int) -> !torch.list<int>
%2865 = torch.prim.ListConstruct %int1_1150, %int1_1151 : (!torch.int, !torch.int) -> !torch.list<int>
%2866 = torch.prim.ListConstruct %int1_1152, %int1_1153 : (!torch.int, !torch.int) -> !torch.list<int>
%2867 = torch.prim.ListConstruct %int0_1154, %int0_1154 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1155 = torch.constant.bool false
%int1_1156 = torch.constant.int 1
%2868 = torch.aten.convolution %2743, %2855, %2863, %2866, %2864, %2865, %false_1155, %2867, %int1_1156 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[192,1024,1,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%2869 = torch.aten.relu %2868 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1157 = torch.constant.int 12
%2870 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%2871 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2872 = torch.aten.quantize_per_tensor %2869, %2870, %2871, %int12_1157 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2873 = torch.aten.int_repr %2872 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%2874 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%2875 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2876 = torch.aten._make_per_tensor_quantized_tensor %2873, %2874, %2875 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2877 = torch.aten.dequantize.self %2876 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1158 = torch.constant.int 12
%2878 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2879 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2880 = torch.aten.quantize_per_tensor %176, %2878, %2879, %int12_1158 : !torch.vtensor<[192,192,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,192,7,1],!torch.qint8>
%2881 = torch.aten.int_repr %2880 : !torch.vtensor<[192,192,7,1],!torch.qint8> -> !torch.vtensor<[192,192,7,1],si8>
%2882 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%2883 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2884 = torch.aten._make_per_tensor_quantized_tensor %2881, %2882, %2883 : !torch.vtensor<[192,192,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,192,7,1],!torch.qint8>
%2885 = torch.aten.dequantize.self %2884 : !torch.vtensor<[192,192,7,1],!torch.qint8> -> !torch.vtensor<[192,192,7,1],f32>
%int12_1159 = torch.constant.int 12
%2886 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2887 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2888 = torch.aten.quantize_per_tensor %177, %2886, %2887, %int12_1159 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2889 = torch.aten.int_repr %2888 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%2890 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2891 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2892 = torch.aten._make_per_tensor_quantized_tensor %2889, %2890, %2891 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%2893 = torch.aten.dequantize.self %2892 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int3_1160 = torch.constant.int 3
%int0_1161 = torch.constant.int 0
%int1_1162 = torch.constant.int 1
%int1_1163 = torch.constant.int 1
%int1_1164 = torch.constant.int 1
%int1_1165 = torch.constant.int 1
%int0_1166 = torch.constant.int 0
%2894 = torch.prim.ListConstruct %int3_1160, %int0_1161 : (!torch.int, !torch.int) -> !torch.list<int>
%2895 = torch.prim.ListConstruct %int1_1162, %int1_1163 : (!torch.int, !torch.int) -> !torch.list<int>
%2896 = torch.prim.ListConstruct %int1_1164, %int1_1165 : (!torch.int, !torch.int) -> !torch.list<int>
%2897 = torch.prim.ListConstruct %int0_1166, %int0_1166 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1167 = torch.constant.bool false
%int1_1168 = torch.constant.int 1
%2898 = torch.aten.convolution %2877, %2885, %2893, %2896, %2894, %2895, %false_1167, %2897, %int1_1168 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[192,192,7,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%2899 = torch.aten.relu %2898 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1169 = torch.constant.int 12
%2900 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%2901 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2902 = torch.aten.quantize_per_tensor %2899, %2900, %2901, %int12_1169 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2903 = torch.aten.int_repr %2902 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%2904 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%2905 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2906 = torch.aten._make_per_tensor_quantized_tensor %2903, %2904, %2905 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%2907 = torch.aten.dequantize.self %2906 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1170 = torch.constant.int 12
%2908 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2909 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2910 = torch.aten.quantize_per_tensor %178, %2908, %2909, %int12_1170 : !torch.vtensor<[224,192,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%2911 = torch.aten.int_repr %2910 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],si8>
%2912 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2913 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2914 = torch.aten._make_per_tensor_quantized_tensor %2911, %2912, %2913 : !torch.vtensor<[224,192,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%2915 = torch.aten.dequantize.self %2914 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],f32>
%int12_1171 = torch.constant.int 12
%2916 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2917 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2918 = torch.aten.quantize_per_tensor %179, %2916, %2917, %int12_1171 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2919 = torch.aten.int_repr %2918 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%2920 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2921 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2922 = torch.aten._make_per_tensor_quantized_tensor %2919, %2920, %2921 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2923 = torch.aten.dequantize.self %2922 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int0_1172 = torch.constant.int 0
%int3_1173 = torch.constant.int 3
%int1_1174 = torch.constant.int 1
%int1_1175 = torch.constant.int 1
%int1_1176 = torch.constant.int 1
%int1_1177 = torch.constant.int 1
%int0_1178 = torch.constant.int 0
%2924 = torch.prim.ListConstruct %int0_1172, %int3_1173 : (!torch.int, !torch.int) -> !torch.list<int>
%2925 = torch.prim.ListConstruct %int1_1174, %int1_1175 : (!torch.int, !torch.int) -> !torch.list<int>
%2926 = torch.prim.ListConstruct %int1_1176, %int1_1177 : (!torch.int, !torch.int) -> !torch.list<int>
%2927 = torch.prim.ListConstruct %int0_1178, %int0_1178 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1179 = torch.constant.bool false
%int1_1180 = torch.constant.int 1
%2928 = torch.aten.convolution %2907, %2915, %2923, %2926, %2924, %2925, %false_1179, %2927, %int1_1180 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[224,192,1,7],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%2929 = torch.aten.relu %2928 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1181 = torch.constant.int 12
%2930 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2931 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2932 = torch.aten.quantize_per_tensor %2929, %2930, %2931, %int12_1181 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2933 = torch.aten.int_repr %2932 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%2934 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2935 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2936 = torch.aten._make_per_tensor_quantized_tensor %2933, %2934, %2935 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2937 = torch.aten.dequantize.self %2936 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1182 = torch.constant.int 12
%2938 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2939 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2940 = torch.aten.quantize_per_tensor %180, %2938, %2939, %int12_1182 : !torch.vtensor<[224,224,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,224,7,1],!torch.qint8>
%2941 = torch.aten.int_repr %2940 : !torch.vtensor<[224,224,7,1],!torch.qint8> -> !torch.vtensor<[224,224,7,1],si8>
%2942 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2943 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2944 = torch.aten._make_per_tensor_quantized_tensor %2941, %2942, %2943 : !torch.vtensor<[224,224,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,224,7,1],!torch.qint8>
%2945 = torch.aten.dequantize.self %2944 : !torch.vtensor<[224,224,7,1],!torch.qint8> -> !torch.vtensor<[224,224,7,1],f32>
%int12_1183 = torch.constant.int 12
%2946 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2947 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2948 = torch.aten.quantize_per_tensor %181, %2946, %2947, %int12_1183 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2949 = torch.aten.int_repr %2948 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%2950 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%2951 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2952 = torch.aten._make_per_tensor_quantized_tensor %2949, %2950, %2951 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%2953 = torch.aten.dequantize.self %2952 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int3_1184 = torch.constant.int 3
%int0_1185 = torch.constant.int 0
%int1_1186 = torch.constant.int 1
%int1_1187 = torch.constant.int 1
%int1_1188 = torch.constant.int 1
%int1_1189 = torch.constant.int 1
%int0_1190 = torch.constant.int 0
%2954 = torch.prim.ListConstruct %int3_1184, %int0_1185 : (!torch.int, !torch.int) -> !torch.list<int>
%2955 = torch.prim.ListConstruct %int1_1186, %int1_1187 : (!torch.int, !torch.int) -> !torch.list<int>
%2956 = torch.prim.ListConstruct %int1_1188, %int1_1189 : (!torch.int, !torch.int) -> !torch.list<int>
%2957 = torch.prim.ListConstruct %int0_1190, %int0_1190 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1191 = torch.constant.bool false
%int1_1192 = torch.constant.int 1
%2958 = torch.aten.convolution %2937, %2945, %2953, %2956, %2954, %2955, %false_1191, %2957, %int1_1192 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[224,224,7,1],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%2959 = torch.aten.relu %2958 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1193 = torch.constant.int 12
%2960 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%2961 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2962 = torch.aten.quantize_per_tensor %2959, %2960, %2961, %int12_1193 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2963 = torch.aten.int_repr %2962 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%2964 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%2965 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2966 = torch.aten._make_per_tensor_quantized_tensor %2963, %2964, %2965 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%2967 = torch.aten.dequantize.self %2966 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1194 = torch.constant.int 12
%2968 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2969 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2970 = torch.aten.quantize_per_tensor %182, %2968, %2969, %int12_1194 : !torch.vtensor<[256,224,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,224,1,7],!torch.qint8>
%2971 = torch.aten.int_repr %2970 : !torch.vtensor<[256,224,1,7],!torch.qint8> -> !torch.vtensor<[256,224,1,7],si8>
%2972 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%2973 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2974 = torch.aten._make_per_tensor_quantized_tensor %2971, %2972, %2973 : !torch.vtensor<[256,224,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,224,1,7],!torch.qint8>
%2975 = torch.aten.dequantize.self %2974 : !torch.vtensor<[256,224,1,7],!torch.qint8> -> !torch.vtensor<[256,224,1,7],f32>
%int12_1195 = torch.constant.int 12
%2976 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2977 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2978 = torch.aten.quantize_per_tensor %183, %2976, %2977, %int12_1195 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%2979 = torch.aten.int_repr %2978 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%2980 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2981 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2982 = torch.aten._make_per_tensor_quantized_tensor %2979, %2980, %2981 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%2983 = torch.aten.dequantize.self %2982 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1196 = torch.constant.int 0
%int3_1197 = torch.constant.int 3
%int1_1198 = torch.constant.int 1
%int1_1199 = torch.constant.int 1
%int1_1200 = torch.constant.int 1
%int1_1201 = torch.constant.int 1
%int0_1202 = torch.constant.int 0
%2984 = torch.prim.ListConstruct %int0_1196, %int3_1197 : (!torch.int, !torch.int) -> !torch.list<int>
%2985 = torch.prim.ListConstruct %int1_1198, %int1_1199 : (!torch.int, !torch.int) -> !torch.list<int>
%2986 = torch.prim.ListConstruct %int1_1200, %int1_1201 : (!torch.int, !torch.int) -> !torch.list<int>
%2987 = torch.prim.ListConstruct %int0_1202, %int0_1202 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1203 = torch.constant.bool false
%int1_1204 = torch.constant.int 1
%2988 = torch.aten.convolution %2967, %2975, %2983, %2986, %2984, %2985, %false_1203, %2987, %int1_1204 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[256,224,1,7],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%2989 = torch.aten.relu %2988 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int3_1205 = torch.constant.int 3
%int3_1206 = torch.constant.int 3
%int1_1207 = torch.constant.int 1
%int1_1208 = torch.constant.int 1
%int1_1209 = torch.constant.int 1
%int1_1210 = torch.constant.int 1
%int1_1211 = torch.constant.int 1
%int1_1212 = torch.constant.int 1
%2990 = torch.prim.ListConstruct %int3_1205, %int3_1206 : (!torch.int, !torch.int) -> !torch.list<int>
%2991 = torch.prim.ListConstruct %int1_1207, %int1_1208, %int1_1209, %int1_1210 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
%2992 = torch.prim.ListConstruct %int1_1211, %int1_1212 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1213 = torch.constant.bool false
%false_1214 = torch.constant.bool false
%none_1215 = torch.constant.none
%2993 = torch.aten.avg_pool2d %2743, %2990, %2992, %2991, %false_1213, %false_1214, %none_1215 : !torch.vtensor<[32,1024,12,12],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[32,1024,12,12],f32>
%2994 = torch.aten.mul.Tensor %2993, %308 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_1216 = torch.constant.int 12
%2995 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%2996 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%2997 = torch.aten.quantize_per_tensor %2994, %2995, %2996, %int12_1216 : !torch.vtensor<[32,1024,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%2998 = torch.aten.int_repr %2997 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],si8>
%2999 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3000 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3001 = torch.aten._make_per_tensor_quantized_tensor %2998, %2999, %3000 : !torch.vtensor<[32,1024,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%3002 = torch.aten.dequantize.self %3001 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_1217 = torch.constant.int 12
%3003 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%3004 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3005 = torch.aten.quantize_per_tensor %184, %3003, %3004, %int12_1217 : !torch.vtensor<[128,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,1024,1,1],!torch.qint8>
%3006 = torch.aten.int_repr %3005 : !torch.vtensor<[128,1024,1,1],!torch.qint8> -> !torch.vtensor<[128,1024,1,1],si8>
%3007 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%3008 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3009 = torch.aten._make_per_tensor_quantized_tensor %3006, %3007, %3008 : !torch.vtensor<[128,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,1024,1,1],!torch.qint8>
%3010 = torch.aten.dequantize.self %3009 : !torch.vtensor<[128,1024,1,1],!torch.qint8> -> !torch.vtensor<[128,1024,1,1],f32>
%int12_1218 = torch.constant.int 12
%3011 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3012 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3013 = torch.aten.quantize_per_tensor %185, %3011, %3012, %int12_1218 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
%3014 = torch.aten.int_repr %3013 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
%3015 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3016 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3017 = torch.aten._make_per_tensor_quantized_tensor %3014, %3015, %3016 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
%3018 = torch.aten.dequantize.self %3017 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
%int0_1219 = torch.constant.int 0
%int0_1220 = torch.constant.int 0
%int1_1221 = torch.constant.int 1
%int1_1222 = torch.constant.int 1
%int1_1223 = torch.constant.int 1
%int1_1224 = torch.constant.int 1
%int0_1225 = torch.constant.int 0
%3019 = torch.prim.ListConstruct %int0_1219, %int0_1220 : (!torch.int, !torch.int) -> !torch.list<int>
%3020 = torch.prim.ListConstruct %int1_1221, %int1_1222 : (!torch.int, !torch.int) -> !torch.list<int>
%3021 = torch.prim.ListConstruct %int1_1223, %int1_1224 : (!torch.int, !torch.int) -> !torch.list<int>
%3022 = torch.prim.ListConstruct %int0_1225, %int0_1225 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1226 = torch.constant.bool false
%int1_1227 = torch.constant.int 1
%3023 = torch.aten.convolution %3002, %3010, %3018, %3021, %3019, %3020, %false_1226, %3022, %int1_1227 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[128,1024,1,1],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,128,12,12],f32>
%3024 = torch.aten.relu %3023 : !torch.vtensor<[32,128,12,12],f32> -> !torch.vtensor<[32,128,12,12],f32>
%3025 = torch.prim.ListConstruct %2765, %2847, %2989, %3024 : (!torch.vtensor<[32,384,12,12],f32>, !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[32,128,12,12],f32>) -> !torch.list<vtensor>
%int1_1228 = torch.constant.int 1
%3026 = torch.aten.cat %3025, %int1_1228 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,1024,12,12],f32>
%int12_1229 = torch.constant.int 12
%3027 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3028 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3029 = torch.aten.quantize_per_tensor %3026, %3027, %3028, %int12_1229 : !torch.vtensor<[32,1024,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%3030 = torch.aten.int_repr %3029 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],si8>
%3031 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3032 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3033 = torch.aten._make_per_tensor_quantized_tensor %3030, %3031, %3032 : !torch.vtensor<[32,1024,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%3034 = torch.aten.dequantize.self %3033 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_1230 = torch.constant.int 12
%3035 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%3036 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3037 = torch.aten.quantize_per_tensor %186, %3035, %3036, %int12_1230 : !torch.vtensor<[384,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384,1024,1,1],!torch.qint8>
%3038 = torch.aten.int_repr %3037 : !torch.vtensor<[384,1024,1,1],!torch.qint8> -> !torch.vtensor<[384,1024,1,1],si8>
%3039 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%3040 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3041 = torch.aten._make_per_tensor_quantized_tensor %3038, %3039, %3040 : !torch.vtensor<[384,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[384,1024,1,1],!torch.qint8>
%3042 = torch.aten.dequantize.self %3041 : !torch.vtensor<[384,1024,1,1],!torch.qint8> -> !torch.vtensor<[384,1024,1,1],f32>
%int12_1231 = torch.constant.int 12
%3043 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3044 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3045 = torch.aten.quantize_per_tensor %187, %3043, %3044, %int12_1231 : !torch.vtensor<[384],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%3046 = torch.aten.int_repr %3045 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],si8>
%3047 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3048 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3049 = torch.aten._make_per_tensor_quantized_tensor %3046, %3047, %3048 : !torch.vtensor<[384],si8>, !torch.float, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%3050 = torch.aten.dequantize.self %3049 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],f32>
%int0_1232 = torch.constant.int 0
%int0_1233 = torch.constant.int 0
%int1_1234 = torch.constant.int 1
%int1_1235 = torch.constant.int 1
%int1_1236 = torch.constant.int 1
%int1_1237 = torch.constant.int 1
%int0_1238 = torch.constant.int 0
%3051 = torch.prim.ListConstruct %int0_1232, %int0_1233 : (!torch.int, !torch.int) -> !torch.list<int>
%3052 = torch.prim.ListConstruct %int1_1234, %int1_1235 : (!torch.int, !torch.int) -> !torch.list<int>
%3053 = torch.prim.ListConstruct %int1_1236, %int1_1237 : (!torch.int, !torch.int) -> !torch.list<int>
%3054 = torch.prim.ListConstruct %int0_1238, %int0_1238 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1239 = torch.constant.bool false
%int1_1240 = torch.constant.int 1
%3055 = torch.aten.convolution %3034, %3042, %3050, %3053, %3051, %3052, %false_1239, %3054, %int1_1240 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[384,1024,1,1],f32>, !torch.vtensor<[384],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,384,12,12],f32>
%3056 = torch.aten.relu %3055 : !torch.vtensor<[32,384,12,12],f32> -> !torch.vtensor<[32,384,12,12],f32>
%int12_1241 = torch.constant.int 12
%3057 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3058 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3059 = torch.aten.quantize_per_tensor %188, %3057, %3058, %int12_1241 : !torch.vtensor<[192,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%3060 = torch.aten.int_repr %3059 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],si8>
%3061 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3062 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3063 = torch.aten._make_per_tensor_quantized_tensor %3060, %3061, %3062 : !torch.vtensor<[192,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%3064 = torch.aten.dequantize.self %3063 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],f32>
%int12_1242 = torch.constant.int 12
%3065 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3066 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3067 = torch.aten.quantize_per_tensor %189, %3065, %3066, %int12_1242 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%3068 = torch.aten.int_repr %3067 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%3069 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3070 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3071 = torch.aten._make_per_tensor_quantized_tensor %3068, %3069, %3070 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%3072 = torch.aten.dequantize.self %3071 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_1243 = torch.constant.int 0
%int0_1244 = torch.constant.int 0
%int1_1245 = torch.constant.int 1
%int1_1246 = torch.constant.int 1
%int1_1247 = torch.constant.int 1
%int1_1248 = torch.constant.int 1
%int0_1249 = torch.constant.int 0
%3073 = torch.prim.ListConstruct %int0_1243, %int0_1244 : (!torch.int, !torch.int) -> !torch.list<int>
%3074 = torch.prim.ListConstruct %int1_1245, %int1_1246 : (!torch.int, !torch.int) -> !torch.list<int>
%3075 = torch.prim.ListConstruct %int1_1247, %int1_1248 : (!torch.int, !torch.int) -> !torch.list<int>
%3076 = torch.prim.ListConstruct %int0_1249, %int0_1249 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1250 = torch.constant.bool false
%int1_1251 = torch.constant.int 1
%3077 = torch.aten.convolution %3034, %3064, %3072, %3075, %3073, %3074, %false_1250, %3076, %int1_1251 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[192,1024,1,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%3078 = torch.aten.relu %3077 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1252 = torch.constant.int 12
%3079 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%3080 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3081 = torch.aten.quantize_per_tensor %3078, %3079, %3080, %int12_1252 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%3082 = torch.aten.int_repr %3081 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%3083 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%3084 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3085 = torch.aten._make_per_tensor_quantized_tensor %3082, %3083, %3084 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%3086 = torch.aten.dequantize.self %3085 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1253 = torch.constant.int 12
%3087 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3088 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3089 = torch.aten.quantize_per_tensor %190, %3087, %3088, %int12_1253 : !torch.vtensor<[224,192,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%3090 = torch.aten.int_repr %3089 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],si8>
%3091 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3092 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3093 = torch.aten._make_per_tensor_quantized_tensor %3090, %3091, %3092 : !torch.vtensor<[224,192,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%3094 = torch.aten.dequantize.self %3093 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],f32>
%int12_1254 = torch.constant.int 12
%3095 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3096 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3097 = torch.aten.quantize_per_tensor %191, %3095, %3096, %int12_1254 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%3098 = torch.aten.int_repr %3097 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%3099 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3100 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3101 = torch.aten._make_per_tensor_quantized_tensor %3098, %3099, %3100 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%3102 = torch.aten.dequantize.self %3101 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int0_1255 = torch.constant.int 0
%int3_1256 = torch.constant.int 3
%int1_1257 = torch.constant.int 1
%int1_1258 = torch.constant.int 1
%int1_1259 = torch.constant.int 1
%int1_1260 = torch.constant.int 1
%int0_1261 = torch.constant.int 0
%3103 = torch.prim.ListConstruct %int0_1255, %int3_1256 : (!torch.int, !torch.int) -> !torch.list<int>
%3104 = torch.prim.ListConstruct %int1_1257, %int1_1258 : (!torch.int, !torch.int) -> !torch.list<int>
%3105 = torch.prim.ListConstruct %int1_1259, %int1_1260 : (!torch.int, !torch.int) -> !torch.list<int>
%3106 = torch.prim.ListConstruct %int0_1261, %int0_1261 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1262 = torch.constant.bool false
%int1_1263 = torch.constant.int 1
%3107 = torch.aten.convolution %3086, %3094, %3102, %3105, %3103, %3104, %false_1262, %3106, %int1_1263 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[224,192,1,7],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%3108 = torch.aten.relu %3107 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1264 = torch.constant.int 12
%3109 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%3110 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3111 = torch.aten.quantize_per_tensor %3108, %3109, %3110, %int12_1264 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%3112 = torch.aten.int_repr %3111 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%3113 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%3114 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3115 = torch.aten._make_per_tensor_quantized_tensor %3112, %3113, %3114 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%3116 = torch.aten.dequantize.self %3115 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1265 = torch.constant.int 12
%3117 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3118 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3119 = torch.aten.quantize_per_tensor %192, %3117, %3118, %int12_1265 : !torch.vtensor<[256,224,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,224,7,1],!torch.qint8>
%3120 = torch.aten.int_repr %3119 : !torch.vtensor<[256,224,7,1],!torch.qint8> -> !torch.vtensor<[256,224,7,1],si8>
%3121 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3122 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3123 = torch.aten._make_per_tensor_quantized_tensor %3120, %3121, %3122 : !torch.vtensor<[256,224,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,224,7,1],!torch.qint8>
%3124 = torch.aten.dequantize.self %3123 : !torch.vtensor<[256,224,7,1],!torch.qint8> -> !torch.vtensor<[256,224,7,1],f32>
%int12_1266 = torch.constant.int 12
%3125 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3126 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3127 = torch.aten.quantize_per_tensor %193, %3125, %3126, %int12_1266 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3128 = torch.aten.int_repr %3127 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%3129 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3130 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3131 = torch.aten._make_per_tensor_quantized_tensor %3128, %3129, %3130 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3132 = torch.aten.dequantize.self %3131 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int3_1267 = torch.constant.int 3
%int0_1268 = torch.constant.int 0
%int1_1269 = torch.constant.int 1
%int1_1270 = torch.constant.int 1
%int1_1271 = torch.constant.int 1
%int1_1272 = torch.constant.int 1
%int0_1273 = torch.constant.int 0
%3133 = torch.prim.ListConstruct %int3_1267, %int0_1268 : (!torch.int, !torch.int) -> !torch.list<int>
%3134 = torch.prim.ListConstruct %int1_1269, %int1_1270 : (!torch.int, !torch.int) -> !torch.list<int>
%3135 = torch.prim.ListConstruct %int1_1271, %int1_1272 : (!torch.int, !torch.int) -> !torch.list<int>
%3136 = torch.prim.ListConstruct %int0_1273, %int0_1273 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1274 = torch.constant.bool false
%int1_1275 = torch.constant.int 1
%3137 = torch.aten.convolution %3116, %3124, %3132, %3135, %3133, %3134, %false_1274, %3136, %int1_1275 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[256,224,7,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%3138 = torch.aten.relu %3137 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int12_1276 = torch.constant.int 12
%3139 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3140 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3141 = torch.aten.quantize_per_tensor %194, %3139, %3140, %int12_1276 : !torch.vtensor<[192,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%3142 = torch.aten.int_repr %3141 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],si8>
%3143 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3144 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3145 = torch.aten._make_per_tensor_quantized_tensor %3142, %3143, %3144 : !torch.vtensor<[192,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%3146 = torch.aten.dequantize.self %3145 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],f32>
%int12_1277 = torch.constant.int 12
%3147 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3148 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3149 = torch.aten.quantize_per_tensor %195, %3147, %3148, %int12_1277 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%3150 = torch.aten.int_repr %3149 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%3151 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3152 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3153 = torch.aten._make_per_tensor_quantized_tensor %3150, %3151, %3152 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%3154 = torch.aten.dequantize.self %3153 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_1278 = torch.constant.int 0
%int0_1279 = torch.constant.int 0
%int1_1280 = torch.constant.int 1
%int1_1281 = torch.constant.int 1
%int1_1282 = torch.constant.int 1
%int1_1283 = torch.constant.int 1
%int0_1284 = torch.constant.int 0
%3155 = torch.prim.ListConstruct %int0_1278, %int0_1279 : (!torch.int, !torch.int) -> !torch.list<int>
%3156 = torch.prim.ListConstruct %int1_1280, %int1_1281 : (!torch.int, !torch.int) -> !torch.list<int>
%3157 = torch.prim.ListConstruct %int1_1282, %int1_1283 : (!torch.int, !torch.int) -> !torch.list<int>
%3158 = torch.prim.ListConstruct %int0_1284, %int0_1284 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1285 = torch.constant.bool false
%int1_1286 = torch.constant.int 1
%3159 = torch.aten.convolution %3034, %3146, %3154, %3157, %3155, %3156, %false_1285, %3158, %int1_1286 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[192,1024,1,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%3160 = torch.aten.relu %3159 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1287 = torch.constant.int 12
%3161 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%3162 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3163 = torch.aten.quantize_per_tensor %3160, %3161, %3162, %int12_1287 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%3164 = torch.aten.int_repr %3163 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%3165 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%3166 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3167 = torch.aten._make_per_tensor_quantized_tensor %3164, %3165, %3166 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%3168 = torch.aten.dequantize.self %3167 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1288 = torch.constant.int 12
%3169 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3170 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3171 = torch.aten.quantize_per_tensor %196, %3169, %3170, %int12_1288 : !torch.vtensor<[192,192,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,192,7,1],!torch.qint8>
%3172 = torch.aten.int_repr %3171 : !torch.vtensor<[192,192,7,1],!torch.qint8> -> !torch.vtensor<[192,192,7,1],si8>
%3173 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3174 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3175 = torch.aten._make_per_tensor_quantized_tensor %3172, %3173, %3174 : !torch.vtensor<[192,192,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,192,7,1],!torch.qint8>
%3176 = torch.aten.dequantize.self %3175 : !torch.vtensor<[192,192,7,1],!torch.qint8> -> !torch.vtensor<[192,192,7,1],f32>
%int12_1289 = torch.constant.int 12
%3177 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3178 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3179 = torch.aten.quantize_per_tensor %197, %3177, %3178, %int12_1289 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%3180 = torch.aten.int_repr %3179 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%3181 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3182 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3183 = torch.aten._make_per_tensor_quantized_tensor %3180, %3181, %3182 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%3184 = torch.aten.dequantize.self %3183 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int3_1290 = torch.constant.int 3
%int0_1291 = torch.constant.int 0
%int1_1292 = torch.constant.int 1
%int1_1293 = torch.constant.int 1
%int1_1294 = torch.constant.int 1
%int1_1295 = torch.constant.int 1
%int0_1296 = torch.constant.int 0
%3185 = torch.prim.ListConstruct %int3_1290, %int0_1291 : (!torch.int, !torch.int) -> !torch.list<int>
%3186 = torch.prim.ListConstruct %int1_1292, %int1_1293 : (!torch.int, !torch.int) -> !torch.list<int>
%3187 = torch.prim.ListConstruct %int1_1294, %int1_1295 : (!torch.int, !torch.int) -> !torch.list<int>
%3188 = torch.prim.ListConstruct %int0_1296, %int0_1296 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1297 = torch.constant.bool false
%int1_1298 = torch.constant.int 1
%3189 = torch.aten.convolution %3168, %3176, %3184, %3187, %3185, %3186, %false_1297, %3188, %int1_1298 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[192,192,7,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%3190 = torch.aten.relu %3189 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1299 = torch.constant.int 12
%3191 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%3192 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3193 = torch.aten.quantize_per_tensor %3190, %3191, %3192, %int12_1299 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%3194 = torch.aten.int_repr %3193 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%3195 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%3196 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3197 = torch.aten._make_per_tensor_quantized_tensor %3194, %3195, %3196 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%3198 = torch.aten.dequantize.self %3197 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1300 = torch.constant.int 12
%3199 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3200 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3201 = torch.aten.quantize_per_tensor %198, %3199, %3200, %int12_1300 : !torch.vtensor<[224,192,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%3202 = torch.aten.int_repr %3201 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],si8>
%3203 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3204 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3205 = torch.aten._make_per_tensor_quantized_tensor %3202, %3203, %3204 : !torch.vtensor<[224,192,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%3206 = torch.aten.dequantize.self %3205 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],f32>
%int12_1301 = torch.constant.int 12
%3207 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3208 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3209 = torch.aten.quantize_per_tensor %199, %3207, %3208, %int12_1301 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%3210 = torch.aten.int_repr %3209 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%3211 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3212 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3213 = torch.aten._make_per_tensor_quantized_tensor %3210, %3211, %3212 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%3214 = torch.aten.dequantize.self %3213 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int0_1302 = torch.constant.int 0
%int3_1303 = torch.constant.int 3
%int1_1304 = torch.constant.int 1
%int1_1305 = torch.constant.int 1
%int1_1306 = torch.constant.int 1
%int1_1307 = torch.constant.int 1
%int0_1308 = torch.constant.int 0
%3215 = torch.prim.ListConstruct %int0_1302, %int3_1303 : (!torch.int, !torch.int) -> !torch.list<int>
%3216 = torch.prim.ListConstruct %int1_1304, %int1_1305 : (!torch.int, !torch.int) -> !torch.list<int>
%3217 = torch.prim.ListConstruct %int1_1306, %int1_1307 : (!torch.int, !torch.int) -> !torch.list<int>
%3218 = torch.prim.ListConstruct %int0_1308, %int0_1308 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1309 = torch.constant.bool false
%int1_1310 = torch.constant.int 1
%3219 = torch.aten.convolution %3198, %3206, %3214, %3217, %3215, %3216, %false_1309, %3218, %int1_1310 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[224,192,1,7],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%3220 = torch.aten.relu %3219 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1311 = torch.constant.int 12
%3221 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%3222 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3223 = torch.aten.quantize_per_tensor %3220, %3221, %3222, %int12_1311 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%3224 = torch.aten.int_repr %3223 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%3225 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%3226 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3227 = torch.aten._make_per_tensor_quantized_tensor %3224, %3225, %3226 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%3228 = torch.aten.dequantize.self %3227 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1312 = torch.constant.int 12
%3229 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3230 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3231 = torch.aten.quantize_per_tensor %200, %3229, %3230, %int12_1312 : !torch.vtensor<[224,224,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,224,7,1],!torch.qint8>
%3232 = torch.aten.int_repr %3231 : !torch.vtensor<[224,224,7,1],!torch.qint8> -> !torch.vtensor<[224,224,7,1],si8>
%3233 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3234 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3235 = torch.aten._make_per_tensor_quantized_tensor %3232, %3233, %3234 : !torch.vtensor<[224,224,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,224,7,1],!torch.qint8>
%3236 = torch.aten.dequantize.self %3235 : !torch.vtensor<[224,224,7,1],!torch.qint8> -> !torch.vtensor<[224,224,7,1],f32>
%int12_1313 = torch.constant.int 12
%3237 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3238 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3239 = torch.aten.quantize_per_tensor %201, %3237, %3238, %int12_1313 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%3240 = torch.aten.int_repr %3239 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%3241 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3242 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3243 = torch.aten._make_per_tensor_quantized_tensor %3240, %3241, %3242 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%3244 = torch.aten.dequantize.self %3243 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int3_1314 = torch.constant.int 3
%int0_1315 = torch.constant.int 0
%int1_1316 = torch.constant.int 1
%int1_1317 = torch.constant.int 1
%int1_1318 = torch.constant.int 1
%int1_1319 = torch.constant.int 1
%int0_1320 = torch.constant.int 0
%3245 = torch.prim.ListConstruct %int3_1314, %int0_1315 : (!torch.int, !torch.int) -> !torch.list<int>
%3246 = torch.prim.ListConstruct %int1_1316, %int1_1317 : (!torch.int, !torch.int) -> !torch.list<int>
%3247 = torch.prim.ListConstruct %int1_1318, %int1_1319 : (!torch.int, !torch.int) -> !torch.list<int>
%3248 = torch.prim.ListConstruct %int0_1320, %int0_1320 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1321 = torch.constant.bool false
%int1_1322 = torch.constant.int 1
%3249 = torch.aten.convolution %3228, %3236, %3244, %3247, %3245, %3246, %false_1321, %3248, %int1_1322 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[224,224,7,1],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%3250 = torch.aten.relu %3249 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1323 = torch.constant.int 12
%3251 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%3252 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3253 = torch.aten.quantize_per_tensor %3250, %3251, %3252, %int12_1323 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%3254 = torch.aten.int_repr %3253 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%3255 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%3256 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3257 = torch.aten._make_per_tensor_quantized_tensor %3254, %3255, %3256 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%3258 = torch.aten.dequantize.self %3257 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1324 = torch.constant.int 12
%3259 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3260 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3261 = torch.aten.quantize_per_tensor %202, %3259, %3260, %int12_1324 : !torch.vtensor<[256,224,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,224,1,7],!torch.qint8>
%3262 = torch.aten.int_repr %3261 : !torch.vtensor<[256,224,1,7],!torch.qint8> -> !torch.vtensor<[256,224,1,7],si8>
%3263 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3264 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3265 = torch.aten._make_per_tensor_quantized_tensor %3262, %3263, %3264 : !torch.vtensor<[256,224,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,224,1,7],!torch.qint8>
%3266 = torch.aten.dequantize.self %3265 : !torch.vtensor<[256,224,1,7],!torch.qint8> -> !torch.vtensor<[256,224,1,7],f32>
%int12_1325 = torch.constant.int 12
%3267 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3268 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3269 = torch.aten.quantize_per_tensor %203, %3267, %3268, %int12_1325 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3270 = torch.aten.int_repr %3269 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%3271 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3272 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3273 = torch.aten._make_per_tensor_quantized_tensor %3270, %3271, %3272 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3274 = torch.aten.dequantize.self %3273 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1326 = torch.constant.int 0
%int3_1327 = torch.constant.int 3
%int1_1328 = torch.constant.int 1
%int1_1329 = torch.constant.int 1
%int1_1330 = torch.constant.int 1
%int1_1331 = torch.constant.int 1
%int0_1332 = torch.constant.int 0
%3275 = torch.prim.ListConstruct %int0_1326, %int3_1327 : (!torch.int, !torch.int) -> !torch.list<int>
%3276 = torch.prim.ListConstruct %int1_1328, %int1_1329 : (!torch.int, !torch.int) -> !torch.list<int>
%3277 = torch.prim.ListConstruct %int1_1330, %int1_1331 : (!torch.int, !torch.int) -> !torch.list<int>
%3278 = torch.prim.ListConstruct %int0_1332, %int0_1332 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1333 = torch.constant.bool false
%int1_1334 = torch.constant.int 1
%3279 = torch.aten.convolution %3258, %3266, %3274, %3277, %3275, %3276, %false_1333, %3278, %int1_1334 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[256,224,1,7],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%3280 = torch.aten.relu %3279 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int3_1335 = torch.constant.int 3
%int3_1336 = torch.constant.int 3
%int1_1337 = torch.constant.int 1
%int1_1338 = torch.constant.int 1
%int1_1339 = torch.constant.int 1
%int1_1340 = torch.constant.int 1
%int1_1341 = torch.constant.int 1
%int1_1342 = torch.constant.int 1
%3281 = torch.prim.ListConstruct %int3_1335, %int3_1336 : (!torch.int, !torch.int) -> !torch.list<int>
%3282 = torch.prim.ListConstruct %int1_1337, %int1_1338, %int1_1339, %int1_1340 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
%3283 = torch.prim.ListConstruct %int1_1341, %int1_1342 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1343 = torch.constant.bool false
%false_1344 = torch.constant.bool false
%none_1345 = torch.constant.none
%3284 = torch.aten.avg_pool2d %3034, %3281, %3283, %3282, %false_1343, %false_1344, %none_1345 : !torch.vtensor<[32,1024,12,12],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[32,1024,12,12],f32>
%3285 = torch.aten.mul.Tensor %3284, %308 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_1346 = torch.constant.int 12
%3286 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3287 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3288 = torch.aten.quantize_per_tensor %3285, %3286, %3287, %int12_1346 : !torch.vtensor<[32,1024,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%3289 = torch.aten.int_repr %3288 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],si8>
%3290 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3291 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3292 = torch.aten._make_per_tensor_quantized_tensor %3289, %3290, %3291 : !torch.vtensor<[32,1024,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%3293 = torch.aten.dequantize.self %3292 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_1347 = torch.constant.int 12
%3294 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3295 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3296 = torch.aten.quantize_per_tensor %204, %3294, %3295, %int12_1347 : !torch.vtensor<[128,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,1024,1,1],!torch.qint8>
%3297 = torch.aten.int_repr %3296 : !torch.vtensor<[128,1024,1,1],!torch.qint8> -> !torch.vtensor<[128,1024,1,1],si8>
%3298 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3299 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3300 = torch.aten._make_per_tensor_quantized_tensor %3297, %3298, %3299 : !torch.vtensor<[128,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,1024,1,1],!torch.qint8>
%3301 = torch.aten.dequantize.self %3300 : !torch.vtensor<[128,1024,1,1],!torch.qint8> -> !torch.vtensor<[128,1024,1,1],f32>
%int12_1348 = torch.constant.int 12
%3302 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3303 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3304 = torch.aten.quantize_per_tensor %205, %3302, %3303, %int12_1348 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
%3305 = torch.aten.int_repr %3304 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
%3306 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3307 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3308 = torch.aten._make_per_tensor_quantized_tensor %3305, %3306, %3307 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
%3309 = torch.aten.dequantize.self %3308 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
%int0_1349 = torch.constant.int 0
%int0_1350 = torch.constant.int 0
%int1_1351 = torch.constant.int 1
%int1_1352 = torch.constant.int 1
%int1_1353 = torch.constant.int 1
%int1_1354 = torch.constant.int 1
%int0_1355 = torch.constant.int 0
%3310 = torch.prim.ListConstruct %int0_1349, %int0_1350 : (!torch.int, !torch.int) -> !torch.list<int>
%3311 = torch.prim.ListConstruct %int1_1351, %int1_1352 : (!torch.int, !torch.int) -> !torch.list<int>
%3312 = torch.prim.ListConstruct %int1_1353, %int1_1354 : (!torch.int, !torch.int) -> !torch.list<int>
%3313 = torch.prim.ListConstruct %int0_1355, %int0_1355 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1356 = torch.constant.bool false
%int1_1357 = torch.constant.int 1
%3314 = torch.aten.convolution %3293, %3301, %3309, %3312, %3310, %3311, %false_1356, %3313, %int1_1357 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[128,1024,1,1],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,128,12,12],f32>
%3315 = torch.aten.relu %3314 : !torch.vtensor<[32,128,12,12],f32> -> !torch.vtensor<[32,128,12,12],f32>
%3316 = torch.prim.ListConstruct %3056, %3138, %3280, %3315 : (!torch.vtensor<[32,384,12,12],f32>, !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[32,128,12,12],f32>) -> !torch.list<vtensor>
%int1_1358 = torch.constant.int 1
%3317 = torch.aten.cat %3316, %int1_1358 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,1024,12,12],f32>
%int12_1359 = torch.constant.int 12
%3318 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3319 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3320 = torch.aten.quantize_per_tensor %3317, %3318, %3319, %int12_1359 : !torch.vtensor<[32,1024,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%3321 = torch.aten.int_repr %3320 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],si8>
%3322 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3323 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3324 = torch.aten._make_per_tensor_quantized_tensor %3321, %3322, %3323 : !torch.vtensor<[32,1024,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%3325 = torch.aten.dequantize.self %3324 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_1360 = torch.constant.int 12
%3326 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3327 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3328 = torch.aten.quantize_per_tensor %206, %3326, %3327, %int12_1360 : !torch.vtensor<[384,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384,1024,1,1],!torch.qint8>
%3329 = torch.aten.int_repr %3328 : !torch.vtensor<[384,1024,1,1],!torch.qint8> -> !torch.vtensor<[384,1024,1,1],si8>
%3330 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3331 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3332 = torch.aten._make_per_tensor_quantized_tensor %3329, %3330, %3331 : !torch.vtensor<[384,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[384,1024,1,1],!torch.qint8>
%3333 = torch.aten.dequantize.self %3332 : !torch.vtensor<[384,1024,1,1],!torch.qint8> -> !torch.vtensor<[384,1024,1,1],f32>
%int12_1361 = torch.constant.int 12
%3334 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3335 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3336 = torch.aten.quantize_per_tensor %207, %3334, %3335, %int12_1361 : !torch.vtensor<[384],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%3337 = torch.aten.int_repr %3336 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],si8>
%3338 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3339 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3340 = torch.aten._make_per_tensor_quantized_tensor %3337, %3338, %3339 : !torch.vtensor<[384],si8>, !torch.float, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%3341 = torch.aten.dequantize.self %3340 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],f32>
%int0_1362 = torch.constant.int 0
%int0_1363 = torch.constant.int 0
%int1_1364 = torch.constant.int 1
%int1_1365 = torch.constant.int 1
%int1_1366 = torch.constant.int 1
%int1_1367 = torch.constant.int 1
%int0_1368 = torch.constant.int 0
%3342 = torch.prim.ListConstruct %int0_1362, %int0_1363 : (!torch.int, !torch.int) -> !torch.list<int>
%3343 = torch.prim.ListConstruct %int1_1364, %int1_1365 : (!torch.int, !torch.int) -> !torch.list<int>
%3344 = torch.prim.ListConstruct %int1_1366, %int1_1367 : (!torch.int, !torch.int) -> !torch.list<int>
%3345 = torch.prim.ListConstruct %int0_1368, %int0_1368 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1369 = torch.constant.bool false
%int1_1370 = torch.constant.int 1
%3346 = torch.aten.convolution %3325, %3333, %3341, %3344, %3342, %3343, %false_1369, %3345, %int1_1370 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[384,1024,1,1],f32>, !torch.vtensor<[384],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,384,12,12],f32>
%3347 = torch.aten.relu %3346 : !torch.vtensor<[32,384,12,12],f32> -> !torch.vtensor<[32,384,12,12],f32>
%int12_1371 = torch.constant.int 12
%3348 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3349 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3350 = torch.aten.quantize_per_tensor %208, %3348, %3349, %int12_1371 : !torch.vtensor<[192,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%3351 = torch.aten.int_repr %3350 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],si8>
%3352 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3353 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3354 = torch.aten._make_per_tensor_quantized_tensor %3351, %3352, %3353 : !torch.vtensor<[192,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%3355 = torch.aten.dequantize.self %3354 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],f32>
%int12_1372 = torch.constant.int 12
%3356 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3357 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3358 = torch.aten.quantize_per_tensor %209, %3356, %3357, %int12_1372 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%3359 = torch.aten.int_repr %3358 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%3360 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3361 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3362 = torch.aten._make_per_tensor_quantized_tensor %3359, %3360, %3361 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%3363 = torch.aten.dequantize.self %3362 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_1373 = torch.constant.int 0
%int0_1374 = torch.constant.int 0
%int1_1375 = torch.constant.int 1
%int1_1376 = torch.constant.int 1
%int1_1377 = torch.constant.int 1
%int1_1378 = torch.constant.int 1
%int0_1379 = torch.constant.int 0
%3364 = torch.prim.ListConstruct %int0_1373, %int0_1374 : (!torch.int, !torch.int) -> !torch.list<int>
%3365 = torch.prim.ListConstruct %int1_1375, %int1_1376 : (!torch.int, !torch.int) -> !torch.list<int>
%3366 = torch.prim.ListConstruct %int1_1377, %int1_1378 : (!torch.int, !torch.int) -> !torch.list<int>
%3367 = torch.prim.ListConstruct %int0_1379, %int0_1379 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1380 = torch.constant.bool false
%int1_1381 = torch.constant.int 1
%3368 = torch.aten.convolution %3325, %3355, %3363, %3366, %3364, %3365, %false_1380, %3367, %int1_1381 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[192,1024,1,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%3369 = torch.aten.relu %3368 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1382 = torch.constant.int 12
%3370 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%3371 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3372 = torch.aten.quantize_per_tensor %3369, %3370, %3371, %int12_1382 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%3373 = torch.aten.int_repr %3372 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%3374 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%3375 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3376 = torch.aten._make_per_tensor_quantized_tensor %3373, %3374, %3375 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%3377 = torch.aten.dequantize.self %3376 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1383 = torch.constant.int 12
%3378 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3379 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3380 = torch.aten.quantize_per_tensor %210, %3378, %3379, %int12_1383 : !torch.vtensor<[224,192,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%3381 = torch.aten.int_repr %3380 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],si8>
%3382 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3383 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3384 = torch.aten._make_per_tensor_quantized_tensor %3381, %3382, %3383 : !torch.vtensor<[224,192,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%3385 = torch.aten.dequantize.self %3384 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],f32>
%int12_1384 = torch.constant.int 12
%3386 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3387 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3388 = torch.aten.quantize_per_tensor %211, %3386, %3387, %int12_1384 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%3389 = torch.aten.int_repr %3388 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%3390 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3391 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3392 = torch.aten._make_per_tensor_quantized_tensor %3389, %3390, %3391 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%3393 = torch.aten.dequantize.self %3392 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int0_1385 = torch.constant.int 0
%int3_1386 = torch.constant.int 3
%int1_1387 = torch.constant.int 1
%int1_1388 = torch.constant.int 1
%int1_1389 = torch.constant.int 1
%int1_1390 = torch.constant.int 1
%int0_1391 = torch.constant.int 0
%3394 = torch.prim.ListConstruct %int0_1385, %int3_1386 : (!torch.int, !torch.int) -> !torch.list<int>
%3395 = torch.prim.ListConstruct %int1_1387, %int1_1388 : (!torch.int, !torch.int) -> !torch.list<int>
%3396 = torch.prim.ListConstruct %int1_1389, %int1_1390 : (!torch.int, !torch.int) -> !torch.list<int>
%3397 = torch.prim.ListConstruct %int0_1391, %int0_1391 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1392 = torch.constant.bool false
%int1_1393 = torch.constant.int 1
%3398 = torch.aten.convolution %3377, %3385, %3393, %3396, %3394, %3395, %false_1392, %3397, %int1_1393 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[224,192,1,7],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%3399 = torch.aten.relu %3398 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1394 = torch.constant.int 12
%3400 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3401 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3402 = torch.aten.quantize_per_tensor %3399, %3400, %3401, %int12_1394 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%3403 = torch.aten.int_repr %3402 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%3404 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3405 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3406 = torch.aten._make_per_tensor_quantized_tensor %3403, %3404, %3405 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%3407 = torch.aten.dequantize.self %3406 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1395 = torch.constant.int 12
%3408 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%3409 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3410 = torch.aten.quantize_per_tensor %212, %3408, %3409, %int12_1395 : !torch.vtensor<[256,224,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,224,7,1],!torch.qint8>
%3411 = torch.aten.int_repr %3410 : !torch.vtensor<[256,224,7,1],!torch.qint8> -> !torch.vtensor<[256,224,7,1],si8>
%3412 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%3413 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3414 = torch.aten._make_per_tensor_quantized_tensor %3411, %3412, %3413 : !torch.vtensor<[256,224,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,224,7,1],!torch.qint8>
%3415 = torch.aten.dequantize.self %3414 : !torch.vtensor<[256,224,7,1],!torch.qint8> -> !torch.vtensor<[256,224,7,1],f32>
%int12_1396 = torch.constant.int 12
%3416 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3417 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3418 = torch.aten.quantize_per_tensor %213, %3416, %3417, %int12_1396 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3419 = torch.aten.int_repr %3418 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%3420 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3421 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3422 = torch.aten._make_per_tensor_quantized_tensor %3419, %3420, %3421 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3423 = torch.aten.dequantize.self %3422 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int3_1397 = torch.constant.int 3
%int0_1398 = torch.constant.int 0
%int1_1399 = torch.constant.int 1
%int1_1400 = torch.constant.int 1
%int1_1401 = torch.constant.int 1
%int1_1402 = torch.constant.int 1
%int0_1403 = torch.constant.int 0
%3424 = torch.prim.ListConstruct %int3_1397, %int0_1398 : (!torch.int, !torch.int) -> !torch.list<int>
%3425 = torch.prim.ListConstruct %int1_1399, %int1_1400 : (!torch.int, !torch.int) -> !torch.list<int>
%3426 = torch.prim.ListConstruct %int1_1401, %int1_1402 : (!torch.int, !torch.int) -> !torch.list<int>
%3427 = torch.prim.ListConstruct %int0_1403, %int0_1403 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1404 = torch.constant.bool false
%int1_1405 = torch.constant.int 1
%3428 = torch.aten.convolution %3407, %3415, %3423, %3426, %3424, %3425, %false_1404, %3427, %int1_1405 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[256,224,7,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%3429 = torch.aten.relu %3428 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int12_1406 = torch.constant.int 12
%3430 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3431 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3432 = torch.aten.quantize_per_tensor %214, %3430, %3431, %int12_1406 : !torch.vtensor<[192,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%3433 = torch.aten.int_repr %3432 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],si8>
%3434 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3435 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3436 = torch.aten._make_per_tensor_quantized_tensor %3433, %3434, %3435 : !torch.vtensor<[192,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%3437 = torch.aten.dequantize.self %3436 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],f32>
%int12_1407 = torch.constant.int 12
%3438 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3439 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3440 = torch.aten.quantize_per_tensor %215, %3438, %3439, %int12_1407 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%3441 = torch.aten.int_repr %3440 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%3442 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3443 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3444 = torch.aten._make_per_tensor_quantized_tensor %3441, %3442, %3443 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%3445 = torch.aten.dequantize.self %3444 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_1408 = torch.constant.int 0
%int0_1409 = torch.constant.int 0
%int1_1410 = torch.constant.int 1
%int1_1411 = torch.constant.int 1
%int1_1412 = torch.constant.int 1
%int1_1413 = torch.constant.int 1
%int0_1414 = torch.constant.int 0
%3446 = torch.prim.ListConstruct %int0_1408, %int0_1409 : (!torch.int, !torch.int) -> !torch.list<int>
%3447 = torch.prim.ListConstruct %int1_1410, %int1_1411 : (!torch.int, !torch.int) -> !torch.list<int>
%3448 = torch.prim.ListConstruct %int1_1412, %int1_1413 : (!torch.int, !torch.int) -> !torch.list<int>
%3449 = torch.prim.ListConstruct %int0_1414, %int0_1414 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1415 = torch.constant.bool false
%int1_1416 = torch.constant.int 1
%3450 = torch.aten.convolution %3325, %3437, %3445, %3448, %3446, %3447, %false_1415, %3449, %int1_1416 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[192,1024,1,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%3451 = torch.aten.relu %3450 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1417 = torch.constant.int 12
%3452 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3453 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3454 = torch.aten.quantize_per_tensor %3451, %3452, %3453, %int12_1417 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%3455 = torch.aten.int_repr %3454 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%3456 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3457 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3458 = torch.aten._make_per_tensor_quantized_tensor %3455, %3456, %3457 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%3459 = torch.aten.dequantize.self %3458 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1418 = torch.constant.int 12
%3460 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3461 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3462 = torch.aten.quantize_per_tensor %216, %3460, %3461, %int12_1418 : !torch.vtensor<[192,192,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,192,7,1],!torch.qint8>
%3463 = torch.aten.int_repr %3462 : !torch.vtensor<[192,192,7,1],!torch.qint8> -> !torch.vtensor<[192,192,7,1],si8>
%3464 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3465 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3466 = torch.aten._make_per_tensor_quantized_tensor %3463, %3464, %3465 : !torch.vtensor<[192,192,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,192,7,1],!torch.qint8>
%3467 = torch.aten.dequantize.self %3466 : !torch.vtensor<[192,192,7,1],!torch.qint8> -> !torch.vtensor<[192,192,7,1],f32>
%int12_1419 = torch.constant.int 12
%3468 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3469 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3470 = torch.aten.quantize_per_tensor %217, %3468, %3469, %int12_1419 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%3471 = torch.aten.int_repr %3470 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%3472 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3473 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3474 = torch.aten._make_per_tensor_quantized_tensor %3471, %3472, %3473 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%3475 = torch.aten.dequantize.self %3474 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int3_1420 = torch.constant.int 3
%int0_1421 = torch.constant.int 0
%int1_1422 = torch.constant.int 1
%int1_1423 = torch.constant.int 1
%int1_1424 = torch.constant.int 1
%int1_1425 = torch.constant.int 1
%int0_1426 = torch.constant.int 0
%3476 = torch.prim.ListConstruct %int3_1420, %int0_1421 : (!torch.int, !torch.int) -> !torch.list<int>
%3477 = torch.prim.ListConstruct %int1_1422, %int1_1423 : (!torch.int, !torch.int) -> !torch.list<int>
%3478 = torch.prim.ListConstruct %int1_1424, %int1_1425 : (!torch.int, !torch.int) -> !torch.list<int>
%3479 = torch.prim.ListConstruct %int0_1426, %int0_1426 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1427 = torch.constant.bool false
%int1_1428 = torch.constant.int 1
%3480 = torch.aten.convolution %3459, %3467, %3475, %3478, %3476, %3477, %false_1427, %3479, %int1_1428 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[192,192,7,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%3481 = torch.aten.relu %3480 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1429 = torch.constant.int 12
%3482 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%3483 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3484 = torch.aten.quantize_per_tensor %3481, %3482, %3483, %int12_1429 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%3485 = torch.aten.int_repr %3484 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%3486 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%3487 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3488 = torch.aten._make_per_tensor_quantized_tensor %3485, %3486, %3487 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%3489 = torch.aten.dequantize.self %3488 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1430 = torch.constant.int 12
%3490 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3491 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3492 = torch.aten.quantize_per_tensor %218, %3490, %3491, %int12_1430 : !torch.vtensor<[224,192,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%3493 = torch.aten.int_repr %3492 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],si8>
%3494 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3495 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3496 = torch.aten._make_per_tensor_quantized_tensor %3493, %3494, %3495 : !torch.vtensor<[224,192,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,192,1,7],!torch.qint8>
%3497 = torch.aten.dequantize.self %3496 : !torch.vtensor<[224,192,1,7],!torch.qint8> -> !torch.vtensor<[224,192,1,7],f32>
%int12_1431 = torch.constant.int 12
%3498 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3499 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3500 = torch.aten.quantize_per_tensor %219, %3498, %3499, %int12_1431 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%3501 = torch.aten.int_repr %3500 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%3502 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3503 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3504 = torch.aten._make_per_tensor_quantized_tensor %3501, %3502, %3503 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%3505 = torch.aten.dequantize.self %3504 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int0_1432 = torch.constant.int 0
%int3_1433 = torch.constant.int 3
%int1_1434 = torch.constant.int 1
%int1_1435 = torch.constant.int 1
%int1_1436 = torch.constant.int 1
%int1_1437 = torch.constant.int 1
%int0_1438 = torch.constant.int 0
%3506 = torch.prim.ListConstruct %int0_1432, %int3_1433 : (!torch.int, !torch.int) -> !torch.list<int>
%3507 = torch.prim.ListConstruct %int1_1434, %int1_1435 : (!torch.int, !torch.int) -> !torch.list<int>
%3508 = torch.prim.ListConstruct %int1_1436, %int1_1437 : (!torch.int, !torch.int) -> !torch.list<int>
%3509 = torch.prim.ListConstruct %int0_1438, %int0_1438 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1439 = torch.constant.bool false
%int1_1440 = torch.constant.int 1
%3510 = torch.aten.convolution %3489, %3497, %3505, %3508, %3506, %3507, %false_1439, %3509, %int1_1440 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[224,192,1,7],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%3511 = torch.aten.relu %3510 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1441 = torch.constant.int 12
%3512 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3513 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3514 = torch.aten.quantize_per_tensor %3511, %3512, %3513, %int12_1441 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%3515 = torch.aten.int_repr %3514 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%3516 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3517 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3518 = torch.aten._make_per_tensor_quantized_tensor %3515, %3516, %3517 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%3519 = torch.aten.dequantize.self %3518 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1442 = torch.constant.int 12
%3520 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%3521 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3522 = torch.aten.quantize_per_tensor %220, %3520, %3521, %int12_1442 : !torch.vtensor<[224,224,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224,224,7,1],!torch.qint8>
%3523 = torch.aten.int_repr %3522 : !torch.vtensor<[224,224,7,1],!torch.qint8> -> !torch.vtensor<[224,224,7,1],si8>
%3524 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%3525 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3526 = torch.aten._make_per_tensor_quantized_tensor %3523, %3524, %3525 : !torch.vtensor<[224,224,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[224,224,7,1],!torch.qint8>
%3527 = torch.aten.dequantize.self %3526 : !torch.vtensor<[224,224,7,1],!torch.qint8> -> !torch.vtensor<[224,224,7,1],f32>
%int12_1443 = torch.constant.int 12
%3528 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3529 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3530 = torch.aten.quantize_per_tensor %221, %3528, %3529, %int12_1443 : !torch.vtensor<[224],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%3531 = torch.aten.int_repr %3530 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],si8>
%3532 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3533 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3534 = torch.aten._make_per_tensor_quantized_tensor %3531, %3532, %3533 : !torch.vtensor<[224],si8>, !torch.float, !torch.int -> !torch.vtensor<[224],!torch.qint8>
%3535 = torch.aten.dequantize.self %3534 : !torch.vtensor<[224],!torch.qint8> -> !torch.vtensor<[224],f32>
%int3_1444 = torch.constant.int 3
%int0_1445 = torch.constant.int 0
%int1_1446 = torch.constant.int 1
%int1_1447 = torch.constant.int 1
%int1_1448 = torch.constant.int 1
%int1_1449 = torch.constant.int 1
%int0_1450 = torch.constant.int 0
%3536 = torch.prim.ListConstruct %int3_1444, %int0_1445 : (!torch.int, !torch.int) -> !torch.list<int>
%3537 = torch.prim.ListConstruct %int1_1446, %int1_1447 : (!torch.int, !torch.int) -> !torch.list<int>
%3538 = torch.prim.ListConstruct %int1_1448, %int1_1449 : (!torch.int, !torch.int) -> !torch.list<int>
%3539 = torch.prim.ListConstruct %int0_1450, %int0_1450 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1451 = torch.constant.bool false
%int1_1452 = torch.constant.int 1
%3540 = torch.aten.convolution %3519, %3527, %3535, %3538, %3536, %3537, %false_1451, %3539, %int1_1452 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[224,224,7,1],f32>, !torch.vtensor<[224],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,224,12,12],f32>
%3541 = torch.aten.relu %3540 : !torch.vtensor<[32,224,12,12],f32> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1453 = torch.constant.int 12
%3542 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3543 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3544 = torch.aten.quantize_per_tensor %3541, %3542, %3543, %int12_1453 : !torch.vtensor<[32,224,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%3545 = torch.aten.int_repr %3544 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],si8>
%3546 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3547 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3548 = torch.aten._make_per_tensor_quantized_tensor %3545, %3546, %3547 : !torch.vtensor<[32,224,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,224,12,12],!torch.qint8>
%3549 = torch.aten.dequantize.self %3548 : !torch.vtensor<[32,224,12,12],!torch.qint8> -> !torch.vtensor<[32,224,12,12],f32>
%int12_1454 = torch.constant.int 12
%3550 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%3551 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3552 = torch.aten.quantize_per_tensor %222, %3550, %3551, %int12_1454 : !torch.vtensor<[256,224,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,224,1,7],!torch.qint8>
%3553 = torch.aten.int_repr %3552 : !torch.vtensor<[256,224,1,7],!torch.qint8> -> !torch.vtensor<[256,224,1,7],si8>
%3554 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%3555 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3556 = torch.aten._make_per_tensor_quantized_tensor %3553, %3554, %3555 : !torch.vtensor<[256,224,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,224,1,7],!torch.qint8>
%3557 = torch.aten.dequantize.self %3556 : !torch.vtensor<[256,224,1,7],!torch.qint8> -> !torch.vtensor<[256,224,1,7],f32>
%int12_1455 = torch.constant.int 12
%3558 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3559 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3560 = torch.aten.quantize_per_tensor %223, %3558, %3559, %int12_1455 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3561 = torch.aten.int_repr %3560 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%3562 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3563 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3564 = torch.aten._make_per_tensor_quantized_tensor %3561, %3562, %3563 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3565 = torch.aten.dequantize.self %3564 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1456 = torch.constant.int 0
%int3_1457 = torch.constant.int 3
%int1_1458 = torch.constant.int 1
%int1_1459 = torch.constant.int 1
%int1_1460 = torch.constant.int 1
%int1_1461 = torch.constant.int 1
%int0_1462 = torch.constant.int 0
%3566 = torch.prim.ListConstruct %int0_1456, %int3_1457 : (!torch.int, !torch.int) -> !torch.list<int>
%3567 = torch.prim.ListConstruct %int1_1458, %int1_1459 : (!torch.int, !torch.int) -> !torch.list<int>
%3568 = torch.prim.ListConstruct %int1_1460, %int1_1461 : (!torch.int, !torch.int) -> !torch.list<int>
%3569 = torch.prim.ListConstruct %int0_1462, %int0_1462 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1463 = torch.constant.bool false
%int1_1464 = torch.constant.int 1
%3570 = torch.aten.convolution %3549, %3557, %3565, %3568, %3566, %3567, %false_1463, %3569, %int1_1464 : !torch.vtensor<[32,224,12,12],f32>, !torch.vtensor<[256,224,1,7],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%3571 = torch.aten.relu %3570 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int3_1465 = torch.constant.int 3
%int3_1466 = torch.constant.int 3
%int1_1467 = torch.constant.int 1
%int1_1468 = torch.constant.int 1
%int1_1469 = torch.constant.int 1
%int1_1470 = torch.constant.int 1
%int1_1471 = torch.constant.int 1
%int1_1472 = torch.constant.int 1
%3572 = torch.prim.ListConstruct %int3_1465, %int3_1466 : (!torch.int, !torch.int) -> !torch.list<int>
%3573 = torch.prim.ListConstruct %int1_1467, %int1_1468, %int1_1469, %int1_1470 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
%3574 = torch.prim.ListConstruct %int1_1471, %int1_1472 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1473 = torch.constant.bool false
%false_1474 = torch.constant.bool false
%none_1475 = torch.constant.none
%3575 = torch.aten.avg_pool2d %3325, %3572, %3574, %3573, %false_1473, %false_1474, %none_1475 : !torch.vtensor<[32,1024,12,12],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[32,1024,12,12],f32>
%3576 = torch.aten.mul.Tensor %3575, %308 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_1476 = torch.constant.int 12
%3577 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3578 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3579 = torch.aten.quantize_per_tensor %3576, %3577, %3578, %int12_1476 : !torch.vtensor<[32,1024,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%3580 = torch.aten.int_repr %3579 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],si8>
%3581 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3582 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3583 = torch.aten._make_per_tensor_quantized_tensor %3580, %3581, %3582 : !torch.vtensor<[32,1024,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%3584 = torch.aten.dequantize.self %3583 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_1477 = torch.constant.int 12
%3585 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3586 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3587 = torch.aten.quantize_per_tensor %224, %3585, %3586, %int12_1477 : !torch.vtensor<[128,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128,1024,1,1],!torch.qint8>
%3588 = torch.aten.int_repr %3587 : !torch.vtensor<[128,1024,1,1],!torch.qint8> -> !torch.vtensor<[128,1024,1,1],si8>
%3589 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3590 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3591 = torch.aten._make_per_tensor_quantized_tensor %3588, %3589, %3590 : !torch.vtensor<[128,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[128,1024,1,1],!torch.qint8>
%3592 = torch.aten.dequantize.self %3591 : !torch.vtensor<[128,1024,1,1],!torch.qint8> -> !torch.vtensor<[128,1024,1,1],f32>
%int12_1478 = torch.constant.int 12
%3593 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3594 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3595 = torch.aten.quantize_per_tensor %225, %3593, %3594, %int12_1478 : !torch.vtensor<[128],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[128],!torch.qint8>
%3596 = torch.aten.int_repr %3595 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],si8>
%3597 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3598 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3599 = torch.aten._make_per_tensor_quantized_tensor %3596, %3597, %3598 : !torch.vtensor<[128],si8>, !torch.float, !torch.int -> !torch.vtensor<[128],!torch.qint8>
%3600 = torch.aten.dequantize.self %3599 : !torch.vtensor<[128],!torch.qint8> -> !torch.vtensor<[128],f32>
%int0_1479 = torch.constant.int 0
%int0_1480 = torch.constant.int 0
%int1_1481 = torch.constant.int 1
%int1_1482 = torch.constant.int 1
%int1_1483 = torch.constant.int 1
%int1_1484 = torch.constant.int 1
%int0_1485 = torch.constant.int 0
%3601 = torch.prim.ListConstruct %int0_1479, %int0_1480 : (!torch.int, !torch.int) -> !torch.list<int>
%3602 = torch.prim.ListConstruct %int1_1481, %int1_1482 : (!torch.int, !torch.int) -> !torch.list<int>
%3603 = torch.prim.ListConstruct %int1_1483, %int1_1484 : (!torch.int, !torch.int) -> !torch.list<int>
%3604 = torch.prim.ListConstruct %int0_1485, %int0_1485 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1486 = torch.constant.bool false
%int1_1487 = torch.constant.int 1
%3605 = torch.aten.convolution %3584, %3592, %3600, %3603, %3601, %3602, %false_1486, %3604, %int1_1487 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[128,1024,1,1],f32>, !torch.vtensor<[128],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,128,12,12],f32>
%3606 = torch.aten.relu %3605 : !torch.vtensor<[32,128,12,12],f32> -> !torch.vtensor<[32,128,12,12],f32>
%3607 = torch.prim.ListConstruct %3347, %3429, %3571, %3606 : (!torch.vtensor<[32,384,12,12],f32>, !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[32,128,12,12],f32>) -> !torch.list<vtensor>
%int1_1488 = torch.constant.int 1
%3608 = torch.aten.cat %3607, %int1_1488 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,1024,12,12],f32>
%int12_1489 = torch.constant.int 12
%3609 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3610 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3611 = torch.aten.quantize_per_tensor %3608, %3609, %3610, %int12_1489 : !torch.vtensor<[32,1024,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%3612 = torch.aten.int_repr %3611 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],si8>
%3613 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3614 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3615 = torch.aten._make_per_tensor_quantized_tensor %3612, %3613, %3614 : !torch.vtensor<[32,1024,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1024,12,12],!torch.qint8>
%3616 = torch.aten.dequantize.self %3615 : !torch.vtensor<[32,1024,12,12],!torch.qint8> -> !torch.vtensor<[32,1024,12,12],f32>
%int12_1490 = torch.constant.int 12
%3617 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3618 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3619 = torch.aten.quantize_per_tensor %226, %3617, %3618, %int12_1490 : !torch.vtensor<[192,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%3620 = torch.aten.int_repr %3619 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],si8>
%3621 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3622 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3623 = torch.aten._make_per_tensor_quantized_tensor %3620, %3621, %3622 : !torch.vtensor<[192,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,1024,1,1],!torch.qint8>
%3624 = torch.aten.dequantize.self %3623 : !torch.vtensor<[192,1024,1,1],!torch.qint8> -> !torch.vtensor<[192,1024,1,1],f32>
%int12_1491 = torch.constant.int 12
%3625 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3626 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3627 = torch.aten.quantize_per_tensor %227, %3625, %3626, %int12_1491 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%3628 = torch.aten.int_repr %3627 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%3629 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3630 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3631 = torch.aten._make_per_tensor_quantized_tensor %3628, %3629, %3630 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%3632 = torch.aten.dequantize.self %3631 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_1492 = torch.constant.int 0
%int0_1493 = torch.constant.int 0
%int1_1494 = torch.constant.int 1
%int1_1495 = torch.constant.int 1
%int1_1496 = torch.constant.int 1
%int1_1497 = torch.constant.int 1
%int0_1498 = torch.constant.int 0
%3633 = torch.prim.ListConstruct %int0_1492, %int0_1493 : (!torch.int, !torch.int) -> !torch.list<int>
%3634 = torch.prim.ListConstruct %int1_1494, %int1_1495 : (!torch.int, !torch.int) -> !torch.list<int>
%3635 = torch.prim.ListConstruct %int1_1496, %int1_1497 : (!torch.int, !torch.int) -> !torch.list<int>
%3636 = torch.prim.ListConstruct %int0_1498, %int0_1498 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1499 = torch.constant.bool false
%int1_1500 = torch.constant.int 1
%3637 = torch.aten.convolution %3616, %3624, %3632, %3635, %3633, %3634, %false_1499, %3636, %int1_1500 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[192,1024,1,1],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,12,12],f32>
%3638 = torch.aten.relu %3637 : !torch.vtensor<[32,192,12,12],f32> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1501 = torch.constant.int 12
%3639 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3640 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3641 = torch.aten.quantize_per_tensor %3638, %3639, %3640, %int12_1501 : !torch.vtensor<[32,192,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%3642 = torch.aten.int_repr %3641 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],si8>
%3643 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3644 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3645 = torch.aten._make_per_tensor_quantized_tensor %3642, %3643, %3644 : !torch.vtensor<[32,192,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,192,12,12],!torch.qint8>
%3646 = torch.aten.dequantize.self %3645 : !torch.vtensor<[32,192,12,12],!torch.qint8> -> !torch.vtensor<[32,192,12,12],f32>
%int12_1502 = torch.constant.int 12
%3647 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3648 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3649 = torch.aten.quantize_per_tensor %228, %3647, %3648, %int12_1502 : !torch.vtensor<[192,192,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192,192,3,3],!torch.qint8>
%3650 = torch.aten.int_repr %3649 : !torch.vtensor<[192,192,3,3],!torch.qint8> -> !torch.vtensor<[192,192,3,3],si8>
%3651 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3652 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3653 = torch.aten._make_per_tensor_quantized_tensor %3650, %3651, %3652 : !torch.vtensor<[192,192,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[192,192,3,3],!torch.qint8>
%3654 = torch.aten.dequantize.self %3653 : !torch.vtensor<[192,192,3,3],!torch.qint8> -> !torch.vtensor<[192,192,3,3],f32>
%int12_1503 = torch.constant.int 12
%3655 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3656 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3657 = torch.aten.quantize_per_tensor %229, %3655, %3656, %int12_1503 : !torch.vtensor<[192],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%3658 = torch.aten.int_repr %3657 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],si8>
%3659 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3660 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3661 = torch.aten._make_per_tensor_quantized_tensor %3658, %3659, %3660 : !torch.vtensor<[192],si8>, !torch.float, !torch.int -> !torch.vtensor<[192],!torch.qint8>
%3662 = torch.aten.dequantize.self %3661 : !torch.vtensor<[192],!torch.qint8> -> !torch.vtensor<[192],f32>
%int0_1504 = torch.constant.int 0
%int0_1505 = torch.constant.int 0
%int1_1506 = torch.constant.int 1
%int1_1507 = torch.constant.int 1
%int2_1508 = torch.constant.int 2
%int2_1509 = torch.constant.int 2
%int0_1510 = torch.constant.int 0
%3663 = torch.prim.ListConstruct %int0_1504, %int0_1505 : (!torch.int, !torch.int) -> !torch.list<int>
%3664 = torch.prim.ListConstruct %int1_1506, %int1_1507 : (!torch.int, !torch.int) -> !torch.list<int>
%3665 = torch.prim.ListConstruct %int2_1508, %int2_1509 : (!torch.int, !torch.int) -> !torch.list<int>
%3666 = torch.prim.ListConstruct %int0_1510, %int0_1510 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1511 = torch.constant.bool false
%int1_1512 = torch.constant.int 1
%3667 = torch.aten.convolution %3646, %3654, %3662, %3665, %3663, %3664, %false_1511, %3666, %int1_1512 : !torch.vtensor<[32,192,12,12],f32>, !torch.vtensor<[192,192,3,3],f32>, !torch.vtensor<[192],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,192,5,5],f32>
%3668 = torch.aten.relu %3667 : !torch.vtensor<[32,192,5,5],f32> -> !torch.vtensor<[32,192,5,5],f32>
%int12_1513 = torch.constant.int 12
%3669 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3670 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3671 = torch.aten.quantize_per_tensor %230, %3669, %3670, %int12_1513 : !torch.vtensor<[256,1024,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,1024,1,1],!torch.qint8>
%3672 = torch.aten.int_repr %3671 : !torch.vtensor<[256,1024,1,1],!torch.qint8> -> !torch.vtensor<[256,1024,1,1],si8>
%3673 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3674 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3675 = torch.aten._make_per_tensor_quantized_tensor %3672, %3673, %3674 : !torch.vtensor<[256,1024,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,1024,1,1],!torch.qint8>
%3676 = torch.aten.dequantize.self %3675 : !torch.vtensor<[256,1024,1,1],!torch.qint8> -> !torch.vtensor<[256,1024,1,1],f32>
%int12_1514 = torch.constant.int 12
%3677 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3678 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3679 = torch.aten.quantize_per_tensor %231, %3677, %3678, %int12_1514 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3680 = torch.aten.int_repr %3679 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%3681 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3682 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3683 = torch.aten._make_per_tensor_quantized_tensor %3680, %3681, %3682 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3684 = torch.aten.dequantize.self %3683 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1515 = torch.constant.int 0
%int0_1516 = torch.constant.int 0
%int1_1517 = torch.constant.int 1
%int1_1518 = torch.constant.int 1
%int1_1519 = torch.constant.int 1
%int1_1520 = torch.constant.int 1
%int0_1521 = torch.constant.int 0
%3685 = torch.prim.ListConstruct %int0_1515, %int0_1516 : (!torch.int, !torch.int) -> !torch.list<int>
%3686 = torch.prim.ListConstruct %int1_1517, %int1_1518 : (!torch.int, !torch.int) -> !torch.list<int>
%3687 = torch.prim.ListConstruct %int1_1519, %int1_1520 : (!torch.int, !torch.int) -> !torch.list<int>
%3688 = torch.prim.ListConstruct %int0_1521, %int0_1521 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1522 = torch.constant.bool false
%int1_1523 = torch.constant.int 1
%3689 = torch.aten.convolution %3616, %3676, %3684, %3687, %3685, %3686, %false_1522, %3688, %int1_1523 : !torch.vtensor<[32,1024,12,12],f32>, !torch.vtensor<[256,1024,1,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%3690 = torch.aten.relu %3689 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int12_1524 = torch.constant.int 12
%3691 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3692 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3693 = torch.aten.quantize_per_tensor %3690, %3691, %3692, %int12_1524 : !torch.vtensor<[32,256,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,256,12,12],!torch.qint8>
%3694 = torch.aten.int_repr %3693 : !torch.vtensor<[32,256,12,12],!torch.qint8> -> !torch.vtensor<[32,256,12,12],si8>
%3695 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3696 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3697 = torch.aten._make_per_tensor_quantized_tensor %3694, %3695, %3696 : !torch.vtensor<[32,256,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,256,12,12],!torch.qint8>
%3698 = torch.aten.dequantize.self %3697 : !torch.vtensor<[32,256,12,12],!torch.qint8> -> !torch.vtensor<[32,256,12,12],f32>
%int12_1525 = torch.constant.int 12
%3699 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3700 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3701 = torch.aten.quantize_per_tensor %232, %3699, %3700, %int12_1525 : !torch.vtensor<[256,256,1,7],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,256,1,7],!torch.qint8>
%3702 = torch.aten.int_repr %3701 : !torch.vtensor<[256,256,1,7],!torch.qint8> -> !torch.vtensor<[256,256,1,7],si8>
%3703 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3704 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3705 = torch.aten._make_per_tensor_quantized_tensor %3702, %3703, %3704 : !torch.vtensor<[256,256,1,7],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,256,1,7],!torch.qint8>
%3706 = torch.aten.dequantize.self %3705 : !torch.vtensor<[256,256,1,7],!torch.qint8> -> !torch.vtensor<[256,256,1,7],f32>
%int12_1526 = torch.constant.int 12
%3707 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3708 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3709 = torch.aten.quantize_per_tensor %233, %3707, %3708, %int12_1526 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3710 = torch.aten.int_repr %3709 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%3711 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3712 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3713 = torch.aten._make_per_tensor_quantized_tensor %3710, %3711, %3712 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3714 = torch.aten.dequantize.self %3713 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1527 = torch.constant.int 0
%int3_1528 = torch.constant.int 3
%int1_1529 = torch.constant.int 1
%int1_1530 = torch.constant.int 1
%int1_1531 = torch.constant.int 1
%int1_1532 = torch.constant.int 1
%int0_1533 = torch.constant.int 0
%3715 = torch.prim.ListConstruct %int0_1527, %int3_1528 : (!torch.int, !torch.int) -> !torch.list<int>
%3716 = torch.prim.ListConstruct %int1_1529, %int1_1530 : (!torch.int, !torch.int) -> !torch.list<int>
%3717 = torch.prim.ListConstruct %int1_1531, %int1_1532 : (!torch.int, !torch.int) -> !torch.list<int>
%3718 = torch.prim.ListConstruct %int0_1533, %int0_1533 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1534 = torch.constant.bool false
%int1_1535 = torch.constant.int 1
%3719 = torch.aten.convolution %3698, %3706, %3714, %3717, %3715, %3716, %false_1534, %3718, %int1_1535 : !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[256,256,1,7],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,12,12],f32>
%3720 = torch.aten.relu %3719 : !torch.vtensor<[32,256,12,12],f32> -> !torch.vtensor<[32,256,12,12],f32>
%int12_1536 = torch.constant.int 12
%3721 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3722 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3723 = torch.aten.quantize_per_tensor %3720, %3721, %3722, %int12_1536 : !torch.vtensor<[32,256,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,256,12,12],!torch.qint8>
%3724 = torch.aten.int_repr %3723 : !torch.vtensor<[32,256,12,12],!torch.qint8> -> !torch.vtensor<[32,256,12,12],si8>
%3725 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3726 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3727 = torch.aten._make_per_tensor_quantized_tensor %3724, %3725, %3726 : !torch.vtensor<[32,256,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,256,12,12],!torch.qint8>
%3728 = torch.aten.dequantize.self %3727 : !torch.vtensor<[32,256,12,12],!torch.qint8> -> !torch.vtensor<[32,256,12,12],f32>
%int12_1537 = torch.constant.int 12
%3729 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%3730 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3731 = torch.aten.quantize_per_tensor %234, %3729, %3730, %int12_1537 : !torch.vtensor<[320,256,7,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[320,256,7,1],!torch.qint8>
%3732 = torch.aten.int_repr %3731 : !torch.vtensor<[320,256,7,1],!torch.qint8> -> !torch.vtensor<[320,256,7,1],si8>
%3733 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%3734 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3735 = torch.aten._make_per_tensor_quantized_tensor %3732, %3733, %3734 : !torch.vtensor<[320,256,7,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[320,256,7,1],!torch.qint8>
%3736 = torch.aten.dequantize.self %3735 : !torch.vtensor<[320,256,7,1],!torch.qint8> -> !torch.vtensor<[320,256,7,1],f32>
%int12_1538 = torch.constant.int 12
%3737 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3738 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3739 = torch.aten.quantize_per_tensor %235, %3737, %3738, %int12_1538 : !torch.vtensor<[320],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[320],!torch.qint8>
%3740 = torch.aten.int_repr %3739 : !torch.vtensor<[320],!torch.qint8> -> !torch.vtensor<[320],si8>
%3741 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3742 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3743 = torch.aten._make_per_tensor_quantized_tensor %3740, %3741, %3742 : !torch.vtensor<[320],si8>, !torch.float, !torch.int -> !torch.vtensor<[320],!torch.qint8>
%3744 = torch.aten.dequantize.self %3743 : !torch.vtensor<[320],!torch.qint8> -> !torch.vtensor<[320],f32>
%int3_1539 = torch.constant.int 3
%int0_1540 = torch.constant.int 0
%int1_1541 = torch.constant.int 1
%int1_1542 = torch.constant.int 1
%int1_1543 = torch.constant.int 1
%int1_1544 = torch.constant.int 1
%int0_1545 = torch.constant.int 0
%3745 = torch.prim.ListConstruct %int3_1539, %int0_1540 : (!torch.int, !torch.int) -> !torch.list<int>
%3746 = torch.prim.ListConstruct %int1_1541, %int1_1542 : (!torch.int, !torch.int) -> !torch.list<int>
%3747 = torch.prim.ListConstruct %int1_1543, %int1_1544 : (!torch.int, !torch.int) -> !torch.list<int>
%3748 = torch.prim.ListConstruct %int0_1545, %int0_1545 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1546 = torch.constant.bool false
%int1_1547 = torch.constant.int 1
%3749 = torch.aten.convolution %3728, %3736, %3744, %3747, %3745, %3746, %false_1546, %3748, %int1_1547 : !torch.vtensor<[32,256,12,12],f32>, !torch.vtensor<[320,256,7,1],f32>, !torch.vtensor<[320],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,320,12,12],f32>
%3750 = torch.aten.relu %3749 : !torch.vtensor<[32,320,12,12],f32> -> !torch.vtensor<[32,320,12,12],f32>
%int12_1548 = torch.constant.int 12
%3751 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3752 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3753 = torch.aten.quantize_per_tensor %3750, %3751, %3752, %int12_1548 : !torch.vtensor<[32,320,12,12],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,320,12,12],!torch.qint8>
%3754 = torch.aten.int_repr %3753 : !torch.vtensor<[32,320,12,12],!torch.qint8> -> !torch.vtensor<[32,320,12,12],si8>
%3755 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3756 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3757 = torch.aten._make_per_tensor_quantized_tensor %3754, %3755, %3756 : !torch.vtensor<[32,320,12,12],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,320,12,12],!torch.qint8>
%3758 = torch.aten.dequantize.self %3757 : !torch.vtensor<[32,320,12,12],!torch.qint8> -> !torch.vtensor<[32,320,12,12],f32>
%int12_1549 = torch.constant.int 12
%3759 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%3760 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3761 = torch.aten.quantize_per_tensor %236, %3759, %3760, %int12_1549 : !torch.vtensor<[320,320,3,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[320,320,3,3],!torch.qint8>
%3762 = torch.aten.int_repr %3761 : !torch.vtensor<[320,320,3,3],!torch.qint8> -> !torch.vtensor<[320,320,3,3],si8>
%3763 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%3764 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3765 = torch.aten._make_per_tensor_quantized_tensor %3762, %3763, %3764 : !torch.vtensor<[320,320,3,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[320,320,3,3],!torch.qint8>
%3766 = torch.aten.dequantize.self %3765 : !torch.vtensor<[320,320,3,3],!torch.qint8> -> !torch.vtensor<[320,320,3,3],f32>
%int12_1550 = torch.constant.int 12
%3767 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3768 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3769 = torch.aten.quantize_per_tensor %237, %3767, %3768, %int12_1550 : !torch.vtensor<[320],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[320],!torch.qint8>
%3770 = torch.aten.int_repr %3769 : !torch.vtensor<[320],!torch.qint8> -> !torch.vtensor<[320],si8>
%3771 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3772 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3773 = torch.aten._make_per_tensor_quantized_tensor %3770, %3771, %3772 : !torch.vtensor<[320],si8>, !torch.float, !torch.int -> !torch.vtensor<[320],!torch.qint8>
%3774 = torch.aten.dequantize.self %3773 : !torch.vtensor<[320],!torch.qint8> -> !torch.vtensor<[320],f32>
%int0_1551 = torch.constant.int 0
%int0_1552 = torch.constant.int 0
%int1_1553 = torch.constant.int 1
%int1_1554 = torch.constant.int 1
%int2_1555 = torch.constant.int 2
%int2_1556 = torch.constant.int 2
%int0_1557 = torch.constant.int 0
%3775 = torch.prim.ListConstruct %int0_1551, %int0_1552 : (!torch.int, !torch.int) -> !torch.list<int>
%3776 = torch.prim.ListConstruct %int1_1553, %int1_1554 : (!torch.int, !torch.int) -> !torch.list<int>
%3777 = torch.prim.ListConstruct %int2_1555, %int2_1556 : (!torch.int, !torch.int) -> !torch.list<int>
%3778 = torch.prim.ListConstruct %int0_1557, %int0_1557 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1558 = torch.constant.bool false
%int1_1559 = torch.constant.int 1
%3779 = torch.aten.convolution %3758, %3766, %3774, %3777, %3775, %3776, %false_1558, %3778, %int1_1559 : !torch.vtensor<[32,320,12,12],f32>, !torch.vtensor<[320,320,3,3],f32>, !torch.vtensor<[320],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,320,5,5],f32>
%3780 = torch.aten.relu %3779 : !torch.vtensor<[32,320,5,5],f32> -> !torch.vtensor<[32,320,5,5],f32>
%int3_1560 = torch.constant.int 3
%int3_1561 = torch.constant.int 3
%3781 = torch.prim.ListConstruct %int3_1560, %int3_1561 : (!torch.int, !torch.int) -> !torch.list<int>
%int0_1562 = torch.constant.int 0
%int0_1563 = torch.constant.int 0
%3782 = torch.prim.ListConstruct %int0_1562, %int0_1563 : (!torch.int, !torch.int) -> !torch.list<int>
%int2_1564 = torch.constant.int 2
%int2_1565 = torch.constant.int 2
%3783 = torch.prim.ListConstruct %int2_1564, %int2_1565 : (!torch.int, !torch.int) -> !torch.list<int>
%int1_1566 = torch.constant.int 1
%int1_1567 = torch.constant.int 1
%3784 = torch.prim.ListConstruct %int1_1566, %int1_1567 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1568 = torch.constant.bool false
%3785 = torch.aten.max_pool2d %3616, %3781, %3783, %3782, %3784, %false_1568 : !torch.vtensor<[32,1024,12,12],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool -> !torch.vtensor<[32,1024,5,5],f32>
%3786 = torch.prim.ListConstruct %3668, %3780, %3785 : (!torch.vtensor<[32,192,5,5],f32>, !torch.vtensor<[32,320,5,5],f32>, !torch.vtensor<[32,1024,5,5],f32>) -> !torch.list<vtensor>
%int1_1569 = torch.constant.int 1
%3787 = torch.aten.cat %3786, %int1_1569 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,1536,5,5],f32>
%int12_1570 = torch.constant.int 12
%3788 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3789 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3790 = torch.aten.quantize_per_tensor %3787, %3788, %3789, %int12_1570 : !torch.vtensor<[32,1536,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1536,5,5],!torch.qint8>
%3791 = torch.aten.int_repr %3790 : !torch.vtensor<[32,1536,5,5],!torch.qint8> -> !torch.vtensor<[32,1536,5,5],si8>
%3792 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3793 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3794 = torch.aten._make_per_tensor_quantized_tensor %3791, %3792, %3793 : !torch.vtensor<[32,1536,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1536,5,5],!torch.qint8>
%3795 = torch.aten.dequantize.self %3794 : !torch.vtensor<[32,1536,5,5],!torch.qint8> -> !torch.vtensor<[32,1536,5,5],f32>
%int12_1571 = torch.constant.int 12
%3796 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3797 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3798 = torch.aten.quantize_per_tensor %238, %3796, %3797, %int12_1571 : !torch.vtensor<[256,1536,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,1536,1,1],!torch.qint8>
%3799 = torch.aten.int_repr %3798 : !torch.vtensor<[256,1536,1,1],!torch.qint8> -> !torch.vtensor<[256,1536,1,1],si8>
%3800 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3801 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3802 = torch.aten._make_per_tensor_quantized_tensor %3799, %3800, %3801 : !torch.vtensor<[256,1536,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,1536,1,1],!torch.qint8>
%3803 = torch.aten.dequantize.self %3802 : !torch.vtensor<[256,1536,1,1],!torch.qint8> -> !torch.vtensor<[256,1536,1,1],f32>
%int12_1572 = torch.constant.int 12
%3804 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3805 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3806 = torch.aten.quantize_per_tensor %239, %3804, %3805, %int12_1572 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3807 = torch.aten.int_repr %3806 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%3808 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3809 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3810 = torch.aten._make_per_tensor_quantized_tensor %3807, %3808, %3809 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3811 = torch.aten.dequantize.self %3810 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1573 = torch.constant.int 0
%int0_1574 = torch.constant.int 0
%int1_1575 = torch.constant.int 1
%int1_1576 = torch.constant.int 1
%int1_1577 = torch.constant.int 1
%int1_1578 = torch.constant.int 1
%int0_1579 = torch.constant.int 0
%3812 = torch.prim.ListConstruct %int0_1573, %int0_1574 : (!torch.int, !torch.int) -> !torch.list<int>
%3813 = torch.prim.ListConstruct %int1_1575, %int1_1576 : (!torch.int, !torch.int) -> !torch.list<int>
%3814 = torch.prim.ListConstruct %int1_1577, %int1_1578 : (!torch.int, !torch.int) -> !torch.list<int>
%3815 = torch.prim.ListConstruct %int0_1579, %int0_1579 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1580 = torch.constant.bool false
%int1_1581 = torch.constant.int 1
%3816 = torch.aten.convolution %3795, %3803, %3811, %3814, %3812, %3813, %false_1580, %3815, %int1_1581 : !torch.vtensor<[32,1536,5,5],f32>, !torch.vtensor<[256,1536,1,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%3817 = torch.aten.relu %3816 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%int12_1582 = torch.constant.int 12
%3818 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3819 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3820 = torch.aten.quantize_per_tensor %240, %3818, %3819, %int12_1582 : !torch.vtensor<[384,1536,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384,1536,1,1],!torch.qint8>
%3821 = torch.aten.int_repr %3820 : !torch.vtensor<[384,1536,1,1],!torch.qint8> -> !torch.vtensor<[384,1536,1,1],si8>
%3822 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3823 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3824 = torch.aten._make_per_tensor_quantized_tensor %3821, %3822, %3823 : !torch.vtensor<[384,1536,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[384,1536,1,1],!torch.qint8>
%3825 = torch.aten.dequantize.self %3824 : !torch.vtensor<[384,1536,1,1],!torch.qint8> -> !torch.vtensor<[384,1536,1,1],f32>
%int12_1583 = torch.constant.int 12
%3826 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3827 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3828 = torch.aten.quantize_per_tensor %241, %3826, %3827, %int12_1583 : !torch.vtensor<[384],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%3829 = torch.aten.int_repr %3828 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],si8>
%3830 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3831 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3832 = torch.aten._make_per_tensor_quantized_tensor %3829, %3830, %3831 : !torch.vtensor<[384],si8>, !torch.float, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%3833 = torch.aten.dequantize.self %3832 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],f32>
%int0_1584 = torch.constant.int 0
%int0_1585 = torch.constant.int 0
%int1_1586 = torch.constant.int 1
%int1_1587 = torch.constant.int 1
%int1_1588 = torch.constant.int 1
%int1_1589 = torch.constant.int 1
%int0_1590 = torch.constant.int 0
%3834 = torch.prim.ListConstruct %int0_1584, %int0_1585 : (!torch.int, !torch.int) -> !torch.list<int>
%3835 = torch.prim.ListConstruct %int1_1586, %int1_1587 : (!torch.int, !torch.int) -> !torch.list<int>
%3836 = torch.prim.ListConstruct %int1_1588, %int1_1589 : (!torch.int, !torch.int) -> !torch.list<int>
%3837 = torch.prim.ListConstruct %int0_1590, %int0_1590 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1591 = torch.constant.bool false
%int1_1592 = torch.constant.int 1
%3838 = torch.aten.convolution %3795, %3825, %3833, %3836, %3834, %3835, %false_1591, %3837, %int1_1592 : !torch.vtensor<[32,1536,5,5],f32>, !torch.vtensor<[384,1536,1,1],f32>, !torch.vtensor<[384],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,384,5,5],f32>
%3839 = torch.aten.relu %3838 : !torch.vtensor<[32,384,5,5],f32> -> !torch.vtensor<[32,384,5,5],f32>
%int12_1593 = torch.constant.int 12
%3840 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3841 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3842 = torch.aten.quantize_per_tensor %3839, %3840, %3841, %int12_1593 : !torch.vtensor<[32,384,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,384,5,5],!torch.qint8>
%3843 = torch.aten.int_repr %3842 : !torch.vtensor<[32,384,5,5],!torch.qint8> -> !torch.vtensor<[32,384,5,5],si8>
%3844 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3845 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3846 = torch.aten._make_per_tensor_quantized_tensor %3843, %3844, %3845 : !torch.vtensor<[32,384,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,384,5,5],!torch.qint8>
%3847 = torch.aten.dequantize.self %3846 : !torch.vtensor<[32,384,5,5],!torch.qint8> -> !torch.vtensor<[32,384,5,5],f32>
%int12_1594 = torch.constant.int 12
%3848 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3849 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3850 = torch.aten.quantize_per_tensor %242, %3848, %3849, %int12_1594 : !torch.vtensor<[256,384,1,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,384,1,3],!torch.qint8>
%3851 = torch.aten.int_repr %3850 : !torch.vtensor<[256,384,1,3],!torch.qint8> -> !torch.vtensor<[256,384,1,3],si8>
%3852 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3853 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3854 = torch.aten._make_per_tensor_quantized_tensor %3851, %3852, %3853 : !torch.vtensor<[256,384,1,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,384,1,3],!torch.qint8>
%3855 = torch.aten.dequantize.self %3854 : !torch.vtensor<[256,384,1,3],!torch.qint8> -> !torch.vtensor<[256,384,1,3],f32>
%int12_1595 = torch.constant.int 12
%3856 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3857 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3858 = torch.aten.quantize_per_tensor %243, %3856, %3857, %int12_1595 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3859 = torch.aten.int_repr %3858 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%3860 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3861 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3862 = torch.aten._make_per_tensor_quantized_tensor %3859, %3860, %3861 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3863 = torch.aten.dequantize.self %3862 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1596 = torch.constant.int 0
%int1_1597 = torch.constant.int 1
%int1_1598 = torch.constant.int 1
%int1_1599 = torch.constant.int 1
%int1_1600 = torch.constant.int 1
%int1_1601 = torch.constant.int 1
%int0_1602 = torch.constant.int 0
%3864 = torch.prim.ListConstruct %int0_1596, %int1_1597 : (!torch.int, !torch.int) -> !torch.list<int>
%3865 = torch.prim.ListConstruct %int1_1598, %int1_1599 : (!torch.int, !torch.int) -> !torch.list<int>
%3866 = torch.prim.ListConstruct %int1_1600, %int1_1601 : (!torch.int, !torch.int) -> !torch.list<int>
%3867 = torch.prim.ListConstruct %int0_1602, %int0_1602 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1603 = torch.constant.bool false
%int1_1604 = torch.constant.int 1
%3868 = torch.aten.convolution %3847, %3855, %3863, %3866, %3864, %3865, %false_1603, %3867, %int1_1604 : !torch.vtensor<[32,384,5,5],f32>, !torch.vtensor<[256,384,1,3],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%3869 = torch.aten.relu %3868 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%int12_1605 = torch.constant.int 12
%3870 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3871 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3872 = torch.aten.quantize_per_tensor %244, %3870, %3871, %int12_1605 : !torch.vtensor<[256,384,3,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,384,3,1],!torch.qint8>
%3873 = torch.aten.int_repr %3872 : !torch.vtensor<[256,384,3,1],!torch.qint8> -> !torch.vtensor<[256,384,3,1],si8>
%3874 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3875 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3876 = torch.aten._make_per_tensor_quantized_tensor %3873, %3874, %3875 : !torch.vtensor<[256,384,3,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,384,3,1],!torch.qint8>
%3877 = torch.aten.dequantize.self %3876 : !torch.vtensor<[256,384,3,1],!torch.qint8> -> !torch.vtensor<[256,384,3,1],f32>
%int12_1606 = torch.constant.int 12
%3878 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3879 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3880 = torch.aten.quantize_per_tensor %245, %3878, %3879, %int12_1606 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3881 = torch.aten.int_repr %3880 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%3882 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%3883 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3884 = torch.aten._make_per_tensor_quantized_tensor %3881, %3882, %3883 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3885 = torch.aten.dequantize.self %3884 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int1_1607 = torch.constant.int 1
%int0_1608 = torch.constant.int 0
%int1_1609 = torch.constant.int 1
%int1_1610 = torch.constant.int 1
%int1_1611 = torch.constant.int 1
%int1_1612 = torch.constant.int 1
%int0_1613 = torch.constant.int 0
%3886 = torch.prim.ListConstruct %int1_1607, %int0_1608 : (!torch.int, !torch.int) -> !torch.list<int>
%3887 = torch.prim.ListConstruct %int1_1609, %int1_1610 : (!torch.int, !torch.int) -> !torch.list<int>
%3888 = torch.prim.ListConstruct %int1_1611, %int1_1612 : (!torch.int, !torch.int) -> !torch.list<int>
%3889 = torch.prim.ListConstruct %int0_1613, %int0_1613 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1614 = torch.constant.bool false
%int1_1615 = torch.constant.int 1
%3890 = torch.aten.convolution %3847, %3877, %3885, %3888, %3886, %3887, %false_1614, %3889, %int1_1615 : !torch.vtensor<[32,384,5,5],f32>, !torch.vtensor<[256,384,3,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%3891 = torch.aten.relu %3890 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%int12_1616 = torch.constant.int 12
%3892 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3893 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3894 = torch.aten.quantize_per_tensor %246, %3892, %3893, %int12_1616 : !torch.vtensor<[384,1536,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384,1536,1,1],!torch.qint8>
%3895 = torch.aten.int_repr %3894 : !torch.vtensor<[384,1536,1,1],!torch.qint8> -> !torch.vtensor<[384,1536,1,1],si8>
%3896 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3897 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3898 = torch.aten._make_per_tensor_quantized_tensor %3895, %3896, %3897 : !torch.vtensor<[384,1536,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[384,1536,1,1],!torch.qint8>
%3899 = torch.aten.dequantize.self %3898 : !torch.vtensor<[384,1536,1,1],!torch.qint8> -> !torch.vtensor<[384,1536,1,1],f32>
%int12_1617 = torch.constant.int 12
%3900 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3901 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3902 = torch.aten.quantize_per_tensor %247, %3900, %3901, %int12_1617 : !torch.vtensor<[384],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%3903 = torch.aten.int_repr %3902 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],si8>
%3904 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3905 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3906 = torch.aten._make_per_tensor_quantized_tensor %3903, %3904, %3905 : !torch.vtensor<[384],si8>, !torch.float, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%3907 = torch.aten.dequantize.self %3906 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],f32>
%int0_1618 = torch.constant.int 0
%int0_1619 = torch.constant.int 0
%int1_1620 = torch.constant.int 1
%int1_1621 = torch.constant.int 1
%int1_1622 = torch.constant.int 1
%int1_1623 = torch.constant.int 1
%int0_1624 = torch.constant.int 0
%3908 = torch.prim.ListConstruct %int0_1618, %int0_1619 : (!torch.int, !torch.int) -> !torch.list<int>
%3909 = torch.prim.ListConstruct %int1_1620, %int1_1621 : (!torch.int, !torch.int) -> !torch.list<int>
%3910 = torch.prim.ListConstruct %int1_1622, %int1_1623 : (!torch.int, !torch.int) -> !torch.list<int>
%3911 = torch.prim.ListConstruct %int0_1624, %int0_1624 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1625 = torch.constant.bool false
%int1_1626 = torch.constant.int 1
%3912 = torch.aten.convolution %3795, %3899, %3907, %3910, %3908, %3909, %false_1625, %3911, %int1_1626 : !torch.vtensor<[32,1536,5,5],f32>, !torch.vtensor<[384,1536,1,1],f32>, !torch.vtensor<[384],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,384,5,5],f32>
%3913 = torch.aten.relu %3912 : !torch.vtensor<[32,384,5,5],f32> -> !torch.vtensor<[32,384,5,5],f32>
%int12_1627 = torch.constant.int 12
%3914 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3915 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3916 = torch.aten.quantize_per_tensor %3913, %3914, %3915, %int12_1627 : !torch.vtensor<[32,384,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,384,5,5],!torch.qint8>
%3917 = torch.aten.int_repr %3916 : !torch.vtensor<[32,384,5,5],!torch.qint8> -> !torch.vtensor<[32,384,5,5],si8>
%3918 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3919 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3920 = torch.aten._make_per_tensor_quantized_tensor %3917, %3918, %3919 : !torch.vtensor<[32,384,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,384,5,5],!torch.qint8>
%3921 = torch.aten.dequantize.self %3920 : !torch.vtensor<[32,384,5,5],!torch.qint8> -> !torch.vtensor<[32,384,5,5],f32>
%int12_1628 = torch.constant.int 12
%3922 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3923 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3924 = torch.aten.quantize_per_tensor %248, %3922, %3923, %int12_1628 : !torch.vtensor<[448,384,3,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[448,384,3,1],!torch.qint8>
%3925 = torch.aten.int_repr %3924 : !torch.vtensor<[448,384,3,1],!torch.qint8> -> !torch.vtensor<[448,384,3,1],si8>
%3926 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3927 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3928 = torch.aten._make_per_tensor_quantized_tensor %3925, %3926, %3927 : !torch.vtensor<[448,384,3,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[448,384,3,1],!torch.qint8>
%3929 = torch.aten.dequantize.self %3928 : !torch.vtensor<[448,384,3,1],!torch.qint8> -> !torch.vtensor<[448,384,3,1],f32>
%int12_1629 = torch.constant.int 12
%3930 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3931 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3932 = torch.aten.quantize_per_tensor %249, %3930, %3931, %int12_1629 : !torch.vtensor<[448],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[448],!torch.qint8>
%3933 = torch.aten.int_repr %3932 : !torch.vtensor<[448],!torch.qint8> -> !torch.vtensor<[448],si8>
%3934 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%3935 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3936 = torch.aten._make_per_tensor_quantized_tensor %3933, %3934, %3935 : !torch.vtensor<[448],si8>, !torch.float, !torch.int -> !torch.vtensor<[448],!torch.qint8>
%3937 = torch.aten.dequantize.self %3936 : !torch.vtensor<[448],!torch.qint8> -> !torch.vtensor<[448],f32>
%int1_1630 = torch.constant.int 1
%int0_1631 = torch.constant.int 0
%int1_1632 = torch.constant.int 1
%int1_1633 = torch.constant.int 1
%int1_1634 = torch.constant.int 1
%int1_1635 = torch.constant.int 1
%int0_1636 = torch.constant.int 0
%3938 = torch.prim.ListConstruct %int1_1630, %int0_1631 : (!torch.int, !torch.int) -> !torch.list<int>
%3939 = torch.prim.ListConstruct %int1_1632, %int1_1633 : (!torch.int, !torch.int) -> !torch.list<int>
%3940 = torch.prim.ListConstruct %int1_1634, %int1_1635 : (!torch.int, !torch.int) -> !torch.list<int>
%3941 = torch.prim.ListConstruct %int0_1636, %int0_1636 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1637 = torch.constant.bool false
%int1_1638 = torch.constant.int 1
%3942 = torch.aten.convolution %3921, %3929, %3937, %3940, %3938, %3939, %false_1637, %3941, %int1_1638 : !torch.vtensor<[32,384,5,5],f32>, !torch.vtensor<[448,384,3,1],f32>, !torch.vtensor<[448],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,448,5,5],f32>
%3943 = torch.aten.relu %3942 : !torch.vtensor<[32,448,5,5],f32> -> !torch.vtensor<[32,448,5,5],f32>
%int12_1639 = torch.constant.int 12
%3944 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3945 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3946 = torch.aten.quantize_per_tensor %3943, %3944, %3945, %int12_1639 : !torch.vtensor<[32,448,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,448,5,5],!torch.qint8>
%3947 = torch.aten.int_repr %3946 : !torch.vtensor<[32,448,5,5],!torch.qint8> -> !torch.vtensor<[32,448,5,5],si8>
%3948 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3949 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3950 = torch.aten._make_per_tensor_quantized_tensor %3947, %3948, %3949 : !torch.vtensor<[32,448,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,448,5,5],!torch.qint8>
%3951 = torch.aten.dequantize.self %3950 : !torch.vtensor<[32,448,5,5],!torch.qint8> -> !torch.vtensor<[32,448,5,5],f32>
%int12_1640 = torch.constant.int 12
%3952 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3953 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3954 = torch.aten.quantize_per_tensor %250, %3952, %3953, %int12_1640 : !torch.vtensor<[512,448,1,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[512,448,1,3],!torch.qint8>
%3955 = torch.aten.int_repr %3954 : !torch.vtensor<[512,448,1,3],!torch.qint8> -> !torch.vtensor<[512,448,1,3],si8>
%3956 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%3957 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3958 = torch.aten._make_per_tensor_quantized_tensor %3955, %3956, %3957 : !torch.vtensor<[512,448,1,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[512,448,1,3],!torch.qint8>
%3959 = torch.aten.dequantize.self %3958 : !torch.vtensor<[512,448,1,3],!torch.qint8> -> !torch.vtensor<[512,448,1,3],f32>
%int12_1641 = torch.constant.int 12
%3960 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3961 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3962 = torch.aten.quantize_per_tensor %251, %3960, %3961, %int12_1641 : !torch.vtensor<[512],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[512],!torch.qint8>
%3963 = torch.aten.int_repr %3962 : !torch.vtensor<[512],!torch.qint8> -> !torch.vtensor<[512],si8>
%3964 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3965 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3966 = torch.aten._make_per_tensor_quantized_tensor %3963, %3964, %3965 : !torch.vtensor<[512],si8>, !torch.float, !torch.int -> !torch.vtensor<[512],!torch.qint8>
%3967 = torch.aten.dequantize.self %3966 : !torch.vtensor<[512],!torch.qint8> -> !torch.vtensor<[512],f32>
%int0_1642 = torch.constant.int 0
%int1_1643 = torch.constant.int 1
%int1_1644 = torch.constant.int 1
%int1_1645 = torch.constant.int 1
%int1_1646 = torch.constant.int 1
%int1_1647 = torch.constant.int 1
%int0_1648 = torch.constant.int 0
%3968 = torch.prim.ListConstruct %int0_1642, %int1_1643 : (!torch.int, !torch.int) -> !torch.list<int>
%3969 = torch.prim.ListConstruct %int1_1644, %int1_1645 : (!torch.int, !torch.int) -> !torch.list<int>
%3970 = torch.prim.ListConstruct %int1_1646, %int1_1647 : (!torch.int, !torch.int) -> !torch.list<int>
%3971 = torch.prim.ListConstruct %int0_1648, %int0_1648 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1649 = torch.constant.bool false
%int1_1650 = torch.constant.int 1
%3972 = torch.aten.convolution %3951, %3959, %3967, %3970, %3968, %3969, %false_1649, %3971, %int1_1650 : !torch.vtensor<[32,448,5,5],f32>, !torch.vtensor<[512,448,1,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,512,5,5],f32>
%3973 = torch.aten.relu %3972 : !torch.vtensor<[32,512,5,5],f32> -> !torch.vtensor<[32,512,5,5],f32>
%int12_1651 = torch.constant.int 12
%3974 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3975 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3976 = torch.aten.quantize_per_tensor %3973, %3974, %3975, %int12_1651 : !torch.vtensor<[32,512,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,512,5,5],!torch.qint8>
%3977 = torch.aten.int_repr %3976 : !torch.vtensor<[32,512,5,5],!torch.qint8> -> !torch.vtensor<[32,512,5,5],si8>
%3978 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3979 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3980 = torch.aten._make_per_tensor_quantized_tensor %3977, %3978, %3979 : !torch.vtensor<[32,512,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,512,5,5],!torch.qint8>
%3981 = torch.aten.dequantize.self %3980 : !torch.vtensor<[32,512,5,5],!torch.qint8> -> !torch.vtensor<[32,512,5,5],f32>
%int12_1652 = torch.constant.int 12
%3982 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%3983 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3984 = torch.aten.quantize_per_tensor %252, %3982, %3983, %int12_1652 : !torch.vtensor<[256,512,1,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,512,1,3],!torch.qint8>
%3985 = torch.aten.int_repr %3984 : !torch.vtensor<[256,512,1,3],!torch.qint8> -> !torch.vtensor<[256,512,1,3],si8>
%3986 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%3987 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3988 = torch.aten._make_per_tensor_quantized_tensor %3985, %3986, %3987 : !torch.vtensor<[256,512,1,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,512,1,3],!torch.qint8>
%3989 = torch.aten.dequantize.self %3988 : !torch.vtensor<[256,512,1,3],!torch.qint8> -> !torch.vtensor<[256,512,1,3],f32>
%int12_1653 = torch.constant.int 12
%3990 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3991 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3992 = torch.aten.quantize_per_tensor %253, %3990, %3991, %int12_1653 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3993 = torch.aten.int_repr %3992 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%3994 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%3995 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%3996 = torch.aten._make_per_tensor_quantized_tensor %3993, %3994, %3995 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%3997 = torch.aten.dequantize.self %3996 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1654 = torch.constant.int 0
%int1_1655 = torch.constant.int 1
%int1_1656 = torch.constant.int 1
%int1_1657 = torch.constant.int 1
%int1_1658 = torch.constant.int 1
%int1_1659 = torch.constant.int 1
%int0_1660 = torch.constant.int 0
%3998 = torch.prim.ListConstruct %int0_1654, %int1_1655 : (!torch.int, !torch.int) -> !torch.list<int>
%3999 = torch.prim.ListConstruct %int1_1656, %int1_1657 : (!torch.int, !torch.int) -> !torch.list<int>
%4000 = torch.prim.ListConstruct %int1_1658, %int1_1659 : (!torch.int, !torch.int) -> !torch.list<int>
%4001 = torch.prim.ListConstruct %int0_1660, %int0_1660 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1661 = torch.constant.bool false
%int1_1662 = torch.constant.int 1
%4002 = torch.aten.convolution %3981, %3989, %3997, %4000, %3998, %3999, %false_1661, %4001, %int1_1662 : !torch.vtensor<[32,512,5,5],f32>, !torch.vtensor<[256,512,1,3],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%4003 = torch.aten.relu %4002 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%int12_1663 = torch.constant.int 12
%4004 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%4005 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4006 = torch.aten.quantize_per_tensor %254, %4004, %4005, %int12_1663 : !torch.vtensor<[256,512,3,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,512,3,1],!torch.qint8>
%4007 = torch.aten.int_repr %4006 : !torch.vtensor<[256,512,3,1],!torch.qint8> -> !torch.vtensor<[256,512,3,1],si8>
%4008 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%4009 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4010 = torch.aten._make_per_tensor_quantized_tensor %4007, %4008, %4009 : !torch.vtensor<[256,512,3,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,512,3,1],!torch.qint8>
%4011 = torch.aten.dequantize.self %4010 : !torch.vtensor<[256,512,3,1],!torch.qint8> -> !torch.vtensor<[256,512,3,1],f32>
%int12_1664 = torch.constant.int 12
%4012 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4013 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4014 = torch.aten.quantize_per_tensor %255, %4012, %4013, %int12_1664 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4015 = torch.aten.int_repr %4014 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%4016 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4017 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4018 = torch.aten._make_per_tensor_quantized_tensor %4015, %4016, %4017 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4019 = torch.aten.dequantize.self %4018 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int1_1665 = torch.constant.int 1
%int0_1666 = torch.constant.int 0
%int1_1667 = torch.constant.int 1
%int1_1668 = torch.constant.int 1
%int1_1669 = torch.constant.int 1
%int1_1670 = torch.constant.int 1
%int0_1671 = torch.constant.int 0
%4020 = torch.prim.ListConstruct %int1_1665, %int0_1666 : (!torch.int, !torch.int) -> !torch.list<int>
%4021 = torch.prim.ListConstruct %int1_1667, %int1_1668 : (!torch.int, !torch.int) -> !torch.list<int>
%4022 = torch.prim.ListConstruct %int1_1669, %int1_1670 : (!torch.int, !torch.int) -> !torch.list<int>
%4023 = torch.prim.ListConstruct %int0_1671, %int0_1671 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1672 = torch.constant.bool false
%int1_1673 = torch.constant.int 1
%4024 = torch.aten.convolution %3981, %4011, %4019, %4022, %4020, %4021, %false_1672, %4023, %int1_1673 : !torch.vtensor<[32,512,5,5],f32>, !torch.vtensor<[256,512,3,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%4025 = torch.aten.relu %4024 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%4026 = torch.prim.ListConstruct %4003, %4025 : (!torch.vtensor<[32,256,5,5],f32>, !torch.vtensor<[32,256,5,5],f32>) -> !torch.list<vtensor>
%int1_1674 = torch.constant.int 1
%4027 = torch.aten.cat %4026, %int1_1674 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,512,5,5],f32>
%int12_1675 = torch.constant.int 12
%4028 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4029 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4030 = torch.aten.quantize_per_tensor %4027, %4028, %4029, %int12_1675 : !torch.vtensor<[32,512,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,512,5,5],!torch.qint8>
%4031 = torch.aten.int_repr %4030 : !torch.vtensor<[32,512,5,5],!torch.qint8> -> !torch.vtensor<[32,512,5,5],si8>
%4032 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4033 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4034 = torch.aten._make_per_tensor_quantized_tensor %4031, %4032, %4033 : !torch.vtensor<[32,512,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,512,5,5],!torch.qint8>
%4035 = torch.aten.dequantize.self %4034 : !torch.vtensor<[32,512,5,5],!torch.qint8> -> !torch.vtensor<[32,512,5,5],f32>
%int3_1676 = torch.constant.int 3
%int3_1677 = torch.constant.int 3
%int1_1678 = torch.constant.int 1
%int1_1679 = torch.constant.int 1
%int1_1680 = torch.constant.int 1
%int1_1681 = torch.constant.int 1
%int1_1682 = torch.constant.int 1
%int1_1683 = torch.constant.int 1
%4036 = torch.prim.ListConstruct %int3_1676, %int3_1677 : (!torch.int, !torch.int) -> !torch.list<int>
%4037 = torch.prim.ListConstruct %int1_1678, %int1_1679, %int1_1680, %int1_1681 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
%4038 = torch.prim.ListConstruct %int1_1682, %int1_1683 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1684 = torch.constant.bool false
%false_1685 = torch.constant.bool false
%none_1686 = torch.constant.none
%4039 = torch.aten.avg_pool2d %3795, %4036, %4038, %4037, %false_1684, %false_1685, %none_1686 : !torch.vtensor<[32,1536,5,5],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[32,1536,5,5],f32>
%4040 = torch.aten.mul.Tensor %4039, %308 : !torch.vtensor<[32,1536,5,5],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[32,1536,5,5],f32>
%int12_1687 = torch.constant.int 12
%4041 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4042 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4043 = torch.aten.quantize_per_tensor %4040, %4041, %4042, %int12_1687 : !torch.vtensor<[32,1536,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1536,5,5],!torch.qint8>
%4044 = torch.aten.int_repr %4043 : !torch.vtensor<[32,1536,5,5],!torch.qint8> -> !torch.vtensor<[32,1536,5,5],si8>
%4045 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4046 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4047 = torch.aten._make_per_tensor_quantized_tensor %4044, %4045, %4046 : !torch.vtensor<[32,1536,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1536,5,5],!torch.qint8>
%4048 = torch.aten.dequantize.self %4047 : !torch.vtensor<[32,1536,5,5],!torch.qint8> -> !torch.vtensor<[32,1536,5,5],f32>
%int12_1688 = torch.constant.int 12
%4049 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%4050 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4051 = torch.aten.quantize_per_tensor %256, %4049, %4050, %int12_1688 : !torch.vtensor<[256,1536,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,1536,1,1],!torch.qint8>
%4052 = torch.aten.int_repr %4051 : !torch.vtensor<[256,1536,1,1],!torch.qint8> -> !torch.vtensor<[256,1536,1,1],si8>
%4053 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%4054 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4055 = torch.aten._make_per_tensor_quantized_tensor %4052, %4053, %4054 : !torch.vtensor<[256,1536,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,1536,1,1],!torch.qint8>
%4056 = torch.aten.dequantize.self %4055 : !torch.vtensor<[256,1536,1,1],!torch.qint8> -> !torch.vtensor<[256,1536,1,1],f32>
%int12_1689 = torch.constant.int 12
%4057 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4058 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4059 = torch.aten.quantize_per_tensor %257, %4057, %4058, %int12_1689 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4060 = torch.aten.int_repr %4059 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%4061 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4062 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4063 = torch.aten._make_per_tensor_quantized_tensor %4060, %4061, %4062 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4064 = torch.aten.dequantize.self %4063 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1690 = torch.constant.int 0
%int0_1691 = torch.constant.int 0
%int1_1692 = torch.constant.int 1
%int1_1693 = torch.constant.int 1
%int1_1694 = torch.constant.int 1
%int1_1695 = torch.constant.int 1
%int0_1696 = torch.constant.int 0
%4065 = torch.prim.ListConstruct %int0_1690, %int0_1691 : (!torch.int, !torch.int) -> !torch.list<int>
%4066 = torch.prim.ListConstruct %int1_1692, %int1_1693 : (!torch.int, !torch.int) -> !torch.list<int>
%4067 = torch.prim.ListConstruct %int1_1694, %int1_1695 : (!torch.int, !torch.int) -> !torch.list<int>
%4068 = torch.prim.ListConstruct %int0_1696, %int0_1696 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1697 = torch.constant.bool false
%int1_1698 = torch.constant.int 1
%4069 = torch.aten.convolution %4048, %4056, %4064, %4067, %4065, %4066, %false_1697, %4068, %int1_1698 : !torch.vtensor<[32,1536,5,5],f32>, !torch.vtensor<[256,1536,1,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%4070 = torch.aten.relu %4069 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%4071 = torch.prim.ListConstruct %3817, %3869, %3891, %4035, %4070 : (!torch.vtensor<[32,256,5,5],f32>, !torch.vtensor<[32,256,5,5],f32>, !torch.vtensor<[32,256,5,5],f32>, !torch.vtensor<[32,512,5,5],f32>, !torch.vtensor<[32,256,5,5],f32>) -> !torch.list<vtensor>
%int1_1699 = torch.constant.int 1
%4072 = torch.aten.cat %4071, %int1_1699 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,1536,5,5],f32>
%int12_1700 = torch.constant.int 12
%4073 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4074 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4075 = torch.aten.quantize_per_tensor %4072, %4073, %4074, %int12_1700 : !torch.vtensor<[32,1536,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1536,5,5],!torch.qint8>
%4076 = torch.aten.int_repr %4075 : !torch.vtensor<[32,1536,5,5],!torch.qint8> -> !torch.vtensor<[32,1536,5,5],si8>
%4077 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4078 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4079 = torch.aten._make_per_tensor_quantized_tensor %4076, %4077, %4078 : !torch.vtensor<[32,1536,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1536,5,5],!torch.qint8>
%4080 = torch.aten.dequantize.self %4079 : !torch.vtensor<[32,1536,5,5],!torch.qint8> -> !torch.vtensor<[32,1536,5,5],f32>
%int12_1701 = torch.constant.int 12
%4081 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4082 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4083 = torch.aten.quantize_per_tensor %258, %4081, %4082, %int12_1701 : !torch.vtensor<[256,1536,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,1536,1,1],!torch.qint8>
%4084 = torch.aten.int_repr %4083 : !torch.vtensor<[256,1536,1,1],!torch.qint8> -> !torch.vtensor<[256,1536,1,1],si8>
%4085 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4086 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4087 = torch.aten._make_per_tensor_quantized_tensor %4084, %4085, %4086 : !torch.vtensor<[256,1536,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,1536,1,1],!torch.qint8>
%4088 = torch.aten.dequantize.self %4087 : !torch.vtensor<[256,1536,1,1],!torch.qint8> -> !torch.vtensor<[256,1536,1,1],f32>
%int12_1702 = torch.constant.int 12
%4089 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4090 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4091 = torch.aten.quantize_per_tensor %259, %4089, %4090, %int12_1702 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4092 = torch.aten.int_repr %4091 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%4093 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4094 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4095 = torch.aten._make_per_tensor_quantized_tensor %4092, %4093, %4094 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4096 = torch.aten.dequantize.self %4095 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1703 = torch.constant.int 0
%int0_1704 = torch.constant.int 0
%int1_1705 = torch.constant.int 1
%int1_1706 = torch.constant.int 1
%int1_1707 = torch.constant.int 1
%int1_1708 = torch.constant.int 1
%int0_1709 = torch.constant.int 0
%4097 = torch.prim.ListConstruct %int0_1703, %int0_1704 : (!torch.int, !torch.int) -> !torch.list<int>
%4098 = torch.prim.ListConstruct %int1_1705, %int1_1706 : (!torch.int, !torch.int) -> !torch.list<int>
%4099 = torch.prim.ListConstruct %int1_1707, %int1_1708 : (!torch.int, !torch.int) -> !torch.list<int>
%4100 = torch.prim.ListConstruct %int0_1709, %int0_1709 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1710 = torch.constant.bool false
%int1_1711 = torch.constant.int 1
%4101 = torch.aten.convolution %4080, %4088, %4096, %4099, %4097, %4098, %false_1710, %4100, %int1_1711 : !torch.vtensor<[32,1536,5,5],f32>, !torch.vtensor<[256,1536,1,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%4102 = torch.aten.relu %4101 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%int12_1712 = torch.constant.int 12
%4103 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4104 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4105 = torch.aten.quantize_per_tensor %260, %4103, %4104, %int12_1712 : !torch.vtensor<[384,1536,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384,1536,1,1],!torch.qint8>
%4106 = torch.aten.int_repr %4105 : !torch.vtensor<[384,1536,1,1],!torch.qint8> -> !torch.vtensor<[384,1536,1,1],si8>
%4107 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4108 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4109 = torch.aten._make_per_tensor_quantized_tensor %4106, %4107, %4108 : !torch.vtensor<[384,1536,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[384,1536,1,1],!torch.qint8>
%4110 = torch.aten.dequantize.self %4109 : !torch.vtensor<[384,1536,1,1],!torch.qint8> -> !torch.vtensor<[384,1536,1,1],f32>
%int12_1713 = torch.constant.int 12
%4111 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4112 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4113 = torch.aten.quantize_per_tensor %261, %4111, %4112, %int12_1713 : !torch.vtensor<[384],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%4114 = torch.aten.int_repr %4113 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],si8>
%4115 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4116 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4117 = torch.aten._make_per_tensor_quantized_tensor %4114, %4115, %4116 : !torch.vtensor<[384],si8>, !torch.float, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%4118 = torch.aten.dequantize.self %4117 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],f32>
%int0_1714 = torch.constant.int 0
%int0_1715 = torch.constant.int 0
%int1_1716 = torch.constant.int 1
%int1_1717 = torch.constant.int 1
%int1_1718 = torch.constant.int 1
%int1_1719 = torch.constant.int 1
%int0_1720 = torch.constant.int 0
%4119 = torch.prim.ListConstruct %int0_1714, %int0_1715 : (!torch.int, !torch.int) -> !torch.list<int>
%4120 = torch.prim.ListConstruct %int1_1716, %int1_1717 : (!torch.int, !torch.int) -> !torch.list<int>
%4121 = torch.prim.ListConstruct %int1_1718, %int1_1719 : (!torch.int, !torch.int) -> !torch.list<int>
%4122 = torch.prim.ListConstruct %int0_1720, %int0_1720 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1721 = torch.constant.bool false
%int1_1722 = torch.constant.int 1
%4123 = torch.aten.convolution %4080, %4110, %4118, %4121, %4119, %4120, %false_1721, %4122, %int1_1722 : !torch.vtensor<[32,1536,5,5],f32>, !torch.vtensor<[384,1536,1,1],f32>, !torch.vtensor<[384],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,384,5,5],f32>
%4124 = torch.aten.relu %4123 : !torch.vtensor<[32,384,5,5],f32> -> !torch.vtensor<[32,384,5,5],f32>
%int12_1723 = torch.constant.int 12
%4125 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4126 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4127 = torch.aten.quantize_per_tensor %4124, %4125, %4126, %int12_1723 : !torch.vtensor<[32,384,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,384,5,5],!torch.qint8>
%4128 = torch.aten.int_repr %4127 : !torch.vtensor<[32,384,5,5],!torch.qint8> -> !torch.vtensor<[32,384,5,5],si8>
%4129 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4130 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4131 = torch.aten._make_per_tensor_quantized_tensor %4128, %4129, %4130 : !torch.vtensor<[32,384,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,384,5,5],!torch.qint8>
%4132 = torch.aten.dequantize.self %4131 : !torch.vtensor<[32,384,5,5],!torch.qint8> -> !torch.vtensor<[32,384,5,5],f32>
%int12_1724 = torch.constant.int 12
%4133 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4134 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4135 = torch.aten.quantize_per_tensor %262, %4133, %4134, %int12_1724 : !torch.vtensor<[256,384,1,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,384,1,3],!torch.qint8>
%4136 = torch.aten.int_repr %4135 : !torch.vtensor<[256,384,1,3],!torch.qint8> -> !torch.vtensor<[256,384,1,3],si8>
%4137 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4138 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4139 = torch.aten._make_per_tensor_quantized_tensor %4136, %4137, %4138 : !torch.vtensor<[256,384,1,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,384,1,3],!torch.qint8>
%4140 = torch.aten.dequantize.self %4139 : !torch.vtensor<[256,384,1,3],!torch.qint8> -> !torch.vtensor<[256,384,1,3],f32>
%int12_1725 = torch.constant.int 12
%4141 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%4142 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4143 = torch.aten.quantize_per_tensor %263, %4141, %4142, %int12_1725 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4144 = torch.aten.int_repr %4143 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%4145 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%4146 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4147 = torch.aten._make_per_tensor_quantized_tensor %4144, %4145, %4146 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4148 = torch.aten.dequantize.self %4147 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1726 = torch.constant.int 0
%int1_1727 = torch.constant.int 1
%int1_1728 = torch.constant.int 1
%int1_1729 = torch.constant.int 1
%int1_1730 = torch.constant.int 1
%int1_1731 = torch.constant.int 1
%int0_1732 = torch.constant.int 0
%4149 = torch.prim.ListConstruct %int0_1726, %int1_1727 : (!torch.int, !torch.int) -> !torch.list<int>
%4150 = torch.prim.ListConstruct %int1_1728, %int1_1729 : (!torch.int, !torch.int) -> !torch.list<int>
%4151 = torch.prim.ListConstruct %int1_1730, %int1_1731 : (!torch.int, !torch.int) -> !torch.list<int>
%4152 = torch.prim.ListConstruct %int0_1732, %int0_1732 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1733 = torch.constant.bool false
%int1_1734 = torch.constant.int 1
%4153 = torch.aten.convolution %4132, %4140, %4148, %4151, %4149, %4150, %false_1733, %4152, %int1_1734 : !torch.vtensor<[32,384,5,5],f32>, !torch.vtensor<[256,384,1,3],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%4154 = torch.aten.relu %4153 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%int12_1735 = torch.constant.int 12
%4155 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4156 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4157 = torch.aten.quantize_per_tensor %264, %4155, %4156, %int12_1735 : !torch.vtensor<[256,384,3,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,384,3,1],!torch.qint8>
%4158 = torch.aten.int_repr %4157 : !torch.vtensor<[256,384,3,1],!torch.qint8> -> !torch.vtensor<[256,384,3,1],si8>
%4159 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4160 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4161 = torch.aten._make_per_tensor_quantized_tensor %4158, %4159, %4160 : !torch.vtensor<[256,384,3,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,384,3,1],!torch.qint8>
%4162 = torch.aten.dequantize.self %4161 : !torch.vtensor<[256,384,3,1],!torch.qint8> -> !torch.vtensor<[256,384,3,1],f32>
%int12_1736 = torch.constant.int 12
%4163 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4164 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4165 = torch.aten.quantize_per_tensor %265, %4163, %4164, %int12_1736 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4166 = torch.aten.int_repr %4165 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%4167 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4168 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4169 = torch.aten._make_per_tensor_quantized_tensor %4166, %4167, %4168 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4170 = torch.aten.dequantize.self %4169 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int1_1737 = torch.constant.int 1
%int0_1738 = torch.constant.int 0
%int1_1739 = torch.constant.int 1
%int1_1740 = torch.constant.int 1
%int1_1741 = torch.constant.int 1
%int1_1742 = torch.constant.int 1
%int0_1743 = torch.constant.int 0
%4171 = torch.prim.ListConstruct %int1_1737, %int0_1738 : (!torch.int, !torch.int) -> !torch.list<int>
%4172 = torch.prim.ListConstruct %int1_1739, %int1_1740 : (!torch.int, !torch.int) -> !torch.list<int>
%4173 = torch.prim.ListConstruct %int1_1741, %int1_1742 : (!torch.int, !torch.int) -> !torch.list<int>
%4174 = torch.prim.ListConstruct %int0_1743, %int0_1743 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1744 = torch.constant.bool false
%int1_1745 = torch.constant.int 1
%4175 = torch.aten.convolution %4132, %4162, %4170, %4173, %4171, %4172, %false_1744, %4174, %int1_1745 : !torch.vtensor<[32,384,5,5],f32>, !torch.vtensor<[256,384,3,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%4176 = torch.aten.relu %4175 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%int12_1746 = torch.constant.int 12
%4177 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4178 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4179 = torch.aten.quantize_per_tensor %266, %4177, %4178, %int12_1746 : !torch.vtensor<[384,1536,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384,1536,1,1],!torch.qint8>
%4180 = torch.aten.int_repr %4179 : !torch.vtensor<[384,1536,1,1],!torch.qint8> -> !torch.vtensor<[384,1536,1,1],si8>
%4181 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4182 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4183 = torch.aten._make_per_tensor_quantized_tensor %4180, %4181, %4182 : !torch.vtensor<[384,1536,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[384,1536,1,1],!torch.qint8>
%4184 = torch.aten.dequantize.self %4183 : !torch.vtensor<[384,1536,1,1],!torch.qint8> -> !torch.vtensor<[384,1536,1,1],f32>
%int12_1747 = torch.constant.int 12
%4185 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4186 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4187 = torch.aten.quantize_per_tensor %267, %4185, %4186, %int12_1747 : !torch.vtensor<[384],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%4188 = torch.aten.int_repr %4187 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],si8>
%4189 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4190 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4191 = torch.aten._make_per_tensor_quantized_tensor %4188, %4189, %4190 : !torch.vtensor<[384],si8>, !torch.float, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%4192 = torch.aten.dequantize.self %4191 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],f32>
%int0_1748 = torch.constant.int 0
%int0_1749 = torch.constant.int 0
%int1_1750 = torch.constant.int 1
%int1_1751 = torch.constant.int 1
%int1_1752 = torch.constant.int 1
%int1_1753 = torch.constant.int 1
%int0_1754 = torch.constant.int 0
%4193 = torch.prim.ListConstruct %int0_1748, %int0_1749 : (!torch.int, !torch.int) -> !torch.list<int>
%4194 = torch.prim.ListConstruct %int1_1750, %int1_1751 : (!torch.int, !torch.int) -> !torch.list<int>
%4195 = torch.prim.ListConstruct %int1_1752, %int1_1753 : (!torch.int, !torch.int) -> !torch.list<int>
%4196 = torch.prim.ListConstruct %int0_1754, %int0_1754 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1755 = torch.constant.bool false
%int1_1756 = torch.constant.int 1
%4197 = torch.aten.convolution %4080, %4184, %4192, %4195, %4193, %4194, %false_1755, %4196, %int1_1756 : !torch.vtensor<[32,1536,5,5],f32>, !torch.vtensor<[384,1536,1,1],f32>, !torch.vtensor<[384],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,384,5,5],f32>
%4198 = torch.aten.relu %4197 : !torch.vtensor<[32,384,5,5],f32> -> !torch.vtensor<[32,384,5,5],f32>
%int12_1757 = torch.constant.int 12
%4199 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%4200 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4201 = torch.aten.quantize_per_tensor %4198, %4199, %4200, %int12_1757 : !torch.vtensor<[32,384,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,384,5,5],!torch.qint8>
%4202 = torch.aten.int_repr %4201 : !torch.vtensor<[32,384,5,5],!torch.qint8> -> !torch.vtensor<[32,384,5,5],si8>
%4203 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%4204 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4205 = torch.aten._make_per_tensor_quantized_tensor %4202, %4203, %4204 : !torch.vtensor<[32,384,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,384,5,5],!torch.qint8>
%4206 = torch.aten.dequantize.self %4205 : !torch.vtensor<[32,384,5,5],!torch.qint8> -> !torch.vtensor<[32,384,5,5],f32>
%int12_1758 = torch.constant.int 12
%4207 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4208 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4209 = torch.aten.quantize_per_tensor %268, %4207, %4208, %int12_1758 : !torch.vtensor<[448,384,3,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[448,384,3,1],!torch.qint8>
%4210 = torch.aten.int_repr %4209 : !torch.vtensor<[448,384,3,1],!torch.qint8> -> !torch.vtensor<[448,384,3,1],si8>
%4211 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4212 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4213 = torch.aten._make_per_tensor_quantized_tensor %4210, %4211, %4212 : !torch.vtensor<[448,384,3,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[448,384,3,1],!torch.qint8>
%4214 = torch.aten.dequantize.self %4213 : !torch.vtensor<[448,384,3,1],!torch.qint8> -> !torch.vtensor<[448,384,3,1],f32>
%int12_1759 = torch.constant.int 12
%4215 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%4216 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4217 = torch.aten.quantize_per_tensor %269, %4215, %4216, %int12_1759 : !torch.vtensor<[448],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[448],!torch.qint8>
%4218 = torch.aten.int_repr %4217 : !torch.vtensor<[448],!torch.qint8> -> !torch.vtensor<[448],si8>
%4219 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%4220 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4221 = torch.aten._make_per_tensor_quantized_tensor %4218, %4219, %4220 : !torch.vtensor<[448],si8>, !torch.float, !torch.int -> !torch.vtensor<[448],!torch.qint8>
%4222 = torch.aten.dequantize.self %4221 : !torch.vtensor<[448],!torch.qint8> -> !torch.vtensor<[448],f32>
%int1_1760 = torch.constant.int 1
%int0_1761 = torch.constant.int 0
%int1_1762 = torch.constant.int 1
%int1_1763 = torch.constant.int 1
%int1_1764 = torch.constant.int 1
%int1_1765 = torch.constant.int 1
%int0_1766 = torch.constant.int 0
%4223 = torch.prim.ListConstruct %int1_1760, %int0_1761 : (!torch.int, !torch.int) -> !torch.list<int>
%4224 = torch.prim.ListConstruct %int1_1762, %int1_1763 : (!torch.int, !torch.int) -> !torch.list<int>
%4225 = torch.prim.ListConstruct %int1_1764, %int1_1765 : (!torch.int, !torch.int) -> !torch.list<int>
%4226 = torch.prim.ListConstruct %int0_1766, %int0_1766 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1767 = torch.constant.bool false
%int1_1768 = torch.constant.int 1
%4227 = torch.aten.convolution %4206, %4214, %4222, %4225, %4223, %4224, %false_1767, %4226, %int1_1768 : !torch.vtensor<[32,384,5,5],f32>, !torch.vtensor<[448,384,3,1],f32>, !torch.vtensor<[448],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,448,5,5],f32>
%4228 = torch.aten.relu %4227 : !torch.vtensor<[32,448,5,5],f32> -> !torch.vtensor<[32,448,5,5],f32>
%int12_1769 = torch.constant.int 12
%4229 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4230 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4231 = torch.aten.quantize_per_tensor %4228, %4229, %4230, %int12_1769 : !torch.vtensor<[32,448,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,448,5,5],!torch.qint8>
%4232 = torch.aten.int_repr %4231 : !torch.vtensor<[32,448,5,5],!torch.qint8> -> !torch.vtensor<[32,448,5,5],si8>
%4233 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4234 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4235 = torch.aten._make_per_tensor_quantized_tensor %4232, %4233, %4234 : !torch.vtensor<[32,448,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,448,5,5],!torch.qint8>
%4236 = torch.aten.dequantize.self %4235 : !torch.vtensor<[32,448,5,5],!torch.qint8> -> !torch.vtensor<[32,448,5,5],f32>
%int12_1770 = torch.constant.int 12
%4237 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4238 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4239 = torch.aten.quantize_per_tensor %270, %4237, %4238, %int12_1770 : !torch.vtensor<[512,448,1,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[512,448,1,3],!torch.qint8>
%4240 = torch.aten.int_repr %4239 : !torch.vtensor<[512,448,1,3],!torch.qint8> -> !torch.vtensor<[512,448,1,3],si8>
%4241 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4242 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4243 = torch.aten._make_per_tensor_quantized_tensor %4240, %4241, %4242 : !torch.vtensor<[512,448,1,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[512,448,1,3],!torch.qint8>
%4244 = torch.aten.dequantize.self %4243 : !torch.vtensor<[512,448,1,3],!torch.qint8> -> !torch.vtensor<[512,448,1,3],f32>
%int12_1771 = torch.constant.int 12
%4245 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4246 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4247 = torch.aten.quantize_per_tensor %271, %4245, %4246, %int12_1771 : !torch.vtensor<[512],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[512],!torch.qint8>
%4248 = torch.aten.int_repr %4247 : !torch.vtensor<[512],!torch.qint8> -> !torch.vtensor<[512],si8>
%4249 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4250 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4251 = torch.aten._make_per_tensor_quantized_tensor %4248, %4249, %4250 : !torch.vtensor<[512],si8>, !torch.float, !torch.int -> !torch.vtensor<[512],!torch.qint8>
%4252 = torch.aten.dequantize.self %4251 : !torch.vtensor<[512],!torch.qint8> -> !torch.vtensor<[512],f32>
%int0_1772 = torch.constant.int 0
%int1_1773 = torch.constant.int 1
%int1_1774 = torch.constant.int 1
%int1_1775 = torch.constant.int 1
%int1_1776 = torch.constant.int 1
%int1_1777 = torch.constant.int 1
%int0_1778 = torch.constant.int 0
%4253 = torch.prim.ListConstruct %int0_1772, %int1_1773 : (!torch.int, !torch.int) -> !torch.list<int>
%4254 = torch.prim.ListConstruct %int1_1774, %int1_1775 : (!torch.int, !torch.int) -> !torch.list<int>
%4255 = torch.prim.ListConstruct %int1_1776, %int1_1777 : (!torch.int, !torch.int) -> !torch.list<int>
%4256 = torch.prim.ListConstruct %int0_1778, %int0_1778 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1779 = torch.constant.bool false
%int1_1780 = torch.constant.int 1
%4257 = torch.aten.convolution %4236, %4244, %4252, %4255, %4253, %4254, %false_1779, %4256, %int1_1780 : !torch.vtensor<[32,448,5,5],f32>, !torch.vtensor<[512,448,1,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,512,5,5],f32>
%4258 = torch.aten.relu %4257 : !torch.vtensor<[32,512,5,5],f32> -> !torch.vtensor<[32,512,5,5],f32>
%int12_1781 = torch.constant.int 12
%4259 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4260 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4261 = torch.aten.quantize_per_tensor %4258, %4259, %4260, %int12_1781 : !torch.vtensor<[32,512,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,512,5,5],!torch.qint8>
%4262 = torch.aten.int_repr %4261 : !torch.vtensor<[32,512,5,5],!torch.qint8> -> !torch.vtensor<[32,512,5,5],si8>
%4263 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4264 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4265 = torch.aten._make_per_tensor_quantized_tensor %4262, %4263, %4264 : !torch.vtensor<[32,512,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,512,5,5],!torch.qint8>
%4266 = torch.aten.dequantize.self %4265 : !torch.vtensor<[32,512,5,5],!torch.qint8> -> !torch.vtensor<[32,512,5,5],f32>
%int12_1782 = torch.constant.int 12
%4267 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%4268 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4269 = torch.aten.quantize_per_tensor %272, %4267, %4268, %int12_1782 : !torch.vtensor<[256,512,1,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,512,1,3],!torch.qint8>
%4270 = torch.aten.int_repr %4269 : !torch.vtensor<[256,512,1,3],!torch.qint8> -> !torch.vtensor<[256,512,1,3],si8>
%4271 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%4272 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4273 = torch.aten._make_per_tensor_quantized_tensor %4270, %4271, %4272 : !torch.vtensor<[256,512,1,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,512,1,3],!torch.qint8>
%4274 = torch.aten.dequantize.self %4273 : !torch.vtensor<[256,512,1,3],!torch.qint8> -> !torch.vtensor<[256,512,1,3],f32>
%int12_1783 = torch.constant.int 12
%4275 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4276 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4277 = torch.aten.quantize_per_tensor %273, %4275, %4276, %int12_1783 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4278 = torch.aten.int_repr %4277 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%4279 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4280 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4281 = torch.aten._make_per_tensor_quantized_tensor %4278, %4279, %4280 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4282 = torch.aten.dequantize.self %4281 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1784 = torch.constant.int 0
%int1_1785 = torch.constant.int 1
%int1_1786 = torch.constant.int 1
%int1_1787 = torch.constant.int 1
%int1_1788 = torch.constant.int 1
%int1_1789 = torch.constant.int 1
%int0_1790 = torch.constant.int 0
%4283 = torch.prim.ListConstruct %int0_1784, %int1_1785 : (!torch.int, !torch.int) -> !torch.list<int>
%4284 = torch.prim.ListConstruct %int1_1786, %int1_1787 : (!torch.int, !torch.int) -> !torch.list<int>
%4285 = torch.prim.ListConstruct %int1_1788, %int1_1789 : (!torch.int, !torch.int) -> !torch.list<int>
%4286 = torch.prim.ListConstruct %int0_1790, %int0_1790 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1791 = torch.constant.bool false
%int1_1792 = torch.constant.int 1
%4287 = torch.aten.convolution %4266, %4274, %4282, %4285, %4283, %4284, %false_1791, %4286, %int1_1792 : !torch.vtensor<[32,512,5,5],f32>, !torch.vtensor<[256,512,1,3],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%4288 = torch.aten.relu %4287 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%int12_1793 = torch.constant.int 12
%4289 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%4290 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4291 = torch.aten.quantize_per_tensor %274, %4289, %4290, %int12_1793 : !torch.vtensor<[256,512,3,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,512,3,1],!torch.qint8>
%4292 = torch.aten.int_repr %4291 : !torch.vtensor<[256,512,3,1],!torch.qint8> -> !torch.vtensor<[256,512,3,1],si8>
%4293 = torch.aten.item %307 : !torch.vtensor<[],f32> -> !torch.float
%4294 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4295 = torch.aten._make_per_tensor_quantized_tensor %4292, %4293, %4294 : !torch.vtensor<[256,512,3,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,512,3,1],!torch.qint8>
%4296 = torch.aten.dequantize.self %4295 : !torch.vtensor<[256,512,3,1],!torch.qint8> -> !torch.vtensor<[256,512,3,1],f32>
%int12_1794 = torch.constant.int 12
%4297 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4298 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4299 = torch.aten.quantize_per_tensor %275, %4297, %4298, %int12_1794 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4300 = torch.aten.int_repr %4299 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%4301 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4302 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4303 = torch.aten._make_per_tensor_quantized_tensor %4300, %4301, %4302 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4304 = torch.aten.dequantize.self %4303 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int1_1795 = torch.constant.int 1
%int0_1796 = torch.constant.int 0
%int1_1797 = torch.constant.int 1
%int1_1798 = torch.constant.int 1
%int1_1799 = torch.constant.int 1
%int1_1800 = torch.constant.int 1
%int0_1801 = torch.constant.int 0
%4305 = torch.prim.ListConstruct %int1_1795, %int0_1796 : (!torch.int, !torch.int) -> !torch.list<int>
%4306 = torch.prim.ListConstruct %int1_1797, %int1_1798 : (!torch.int, !torch.int) -> !torch.list<int>
%4307 = torch.prim.ListConstruct %int1_1799, %int1_1800 : (!torch.int, !torch.int) -> !torch.list<int>
%4308 = torch.prim.ListConstruct %int0_1801, %int0_1801 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1802 = torch.constant.bool false
%int1_1803 = torch.constant.int 1
%4309 = torch.aten.convolution %4266, %4296, %4304, %4307, %4305, %4306, %false_1802, %4308, %int1_1803 : !torch.vtensor<[32,512,5,5],f32>, !torch.vtensor<[256,512,3,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%4310 = torch.aten.relu %4309 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%4311 = torch.prim.ListConstruct %4288, %4310 : (!torch.vtensor<[32,256,5,5],f32>, !torch.vtensor<[32,256,5,5],f32>) -> !torch.list<vtensor>
%int1_1804 = torch.constant.int 1
%4312 = torch.aten.cat %4311, %int1_1804 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,512,5,5],f32>
%int12_1805 = torch.constant.int 12
%4313 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4314 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4315 = torch.aten.quantize_per_tensor %4312, %4313, %4314, %int12_1805 : !torch.vtensor<[32,512,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,512,5,5],!torch.qint8>
%4316 = torch.aten.int_repr %4315 : !torch.vtensor<[32,512,5,5],!torch.qint8> -> !torch.vtensor<[32,512,5,5],si8>
%4317 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4318 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4319 = torch.aten._make_per_tensor_quantized_tensor %4316, %4317, %4318 : !torch.vtensor<[32,512,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,512,5,5],!torch.qint8>
%4320 = torch.aten.dequantize.self %4319 : !torch.vtensor<[32,512,5,5],!torch.qint8> -> !torch.vtensor<[32,512,5,5],f32>
%int3_1806 = torch.constant.int 3
%int3_1807 = torch.constant.int 3
%int1_1808 = torch.constant.int 1
%int1_1809 = torch.constant.int 1
%int1_1810 = torch.constant.int 1
%int1_1811 = torch.constant.int 1
%int1_1812 = torch.constant.int 1
%int1_1813 = torch.constant.int 1
%4321 = torch.prim.ListConstruct %int3_1806, %int3_1807 : (!torch.int, !torch.int) -> !torch.list<int>
%4322 = torch.prim.ListConstruct %int1_1808, %int1_1809, %int1_1810, %int1_1811 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
%4323 = torch.prim.ListConstruct %int1_1812, %int1_1813 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1814 = torch.constant.bool false
%false_1815 = torch.constant.bool false
%none_1816 = torch.constant.none
%4324 = torch.aten.avg_pool2d %4080, %4321, %4323, %4322, %false_1814, %false_1815, %none_1816 : !torch.vtensor<[32,1536,5,5],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[32,1536,5,5],f32>
%4325 = torch.aten.mul.Tensor %4324, %308 : !torch.vtensor<[32,1536,5,5],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[32,1536,5,5],f32>
%int12_1817 = torch.constant.int 12
%4326 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4327 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4328 = torch.aten.quantize_per_tensor %4325, %4326, %4327, %int12_1817 : !torch.vtensor<[32,1536,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1536,5,5],!torch.qint8>
%4329 = torch.aten.int_repr %4328 : !torch.vtensor<[32,1536,5,5],!torch.qint8> -> !torch.vtensor<[32,1536,5,5],si8>
%4330 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4331 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4332 = torch.aten._make_per_tensor_quantized_tensor %4329, %4330, %4331 : !torch.vtensor<[32,1536,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1536,5,5],!torch.qint8>
%4333 = torch.aten.dequantize.self %4332 : !torch.vtensor<[32,1536,5,5],!torch.qint8> -> !torch.vtensor<[32,1536,5,5],f32>
%int12_1818 = torch.constant.int 12
%4334 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4335 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4336 = torch.aten.quantize_per_tensor %276, %4334, %4335, %int12_1818 : !torch.vtensor<[256,1536,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,1536,1,1],!torch.qint8>
%4337 = torch.aten.int_repr %4336 : !torch.vtensor<[256,1536,1,1],!torch.qint8> -> !torch.vtensor<[256,1536,1,1],si8>
%4338 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4339 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4340 = torch.aten._make_per_tensor_quantized_tensor %4337, %4338, %4339 : !torch.vtensor<[256,1536,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,1536,1,1],!torch.qint8>
%4341 = torch.aten.dequantize.self %4340 : !torch.vtensor<[256,1536,1,1],!torch.qint8> -> !torch.vtensor<[256,1536,1,1],f32>
%int12_1819 = torch.constant.int 12
%4342 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4343 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4344 = torch.aten.quantize_per_tensor %277, %4342, %4343, %int12_1819 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4345 = torch.aten.int_repr %4344 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%4346 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4347 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4348 = torch.aten._make_per_tensor_quantized_tensor %4345, %4346, %4347 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4349 = torch.aten.dequantize.self %4348 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1820 = torch.constant.int 0
%int0_1821 = torch.constant.int 0
%int1_1822 = torch.constant.int 1
%int1_1823 = torch.constant.int 1
%int1_1824 = torch.constant.int 1
%int1_1825 = torch.constant.int 1
%int0_1826 = torch.constant.int 0
%4350 = torch.prim.ListConstruct %int0_1820, %int0_1821 : (!torch.int, !torch.int) -> !torch.list<int>
%4351 = torch.prim.ListConstruct %int1_1822, %int1_1823 : (!torch.int, !torch.int) -> !torch.list<int>
%4352 = torch.prim.ListConstruct %int1_1824, %int1_1825 : (!torch.int, !torch.int) -> !torch.list<int>
%4353 = torch.prim.ListConstruct %int0_1826, %int0_1826 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1827 = torch.constant.bool false
%int1_1828 = torch.constant.int 1
%4354 = torch.aten.convolution %4333, %4341, %4349, %4352, %4350, %4351, %false_1827, %4353, %int1_1828 : !torch.vtensor<[32,1536,5,5],f32>, !torch.vtensor<[256,1536,1,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%4355 = torch.aten.relu %4354 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%4356 = torch.prim.ListConstruct %4102, %4154, %4176, %4320, %4355 : (!torch.vtensor<[32,256,5,5],f32>, !torch.vtensor<[32,256,5,5],f32>, !torch.vtensor<[32,256,5,5],f32>, !torch.vtensor<[32,512,5,5],f32>, !torch.vtensor<[32,256,5,5],f32>) -> !torch.list<vtensor>
%int1_1829 = torch.constant.int 1
%4357 = torch.aten.cat %4356, %int1_1829 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,1536,5,5],f32>
%int12_1830 = torch.constant.int 12
%4358 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4359 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4360 = torch.aten.quantize_per_tensor %4357, %4358, %4359, %int12_1830 : !torch.vtensor<[32,1536,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1536,5,5],!torch.qint8>
%4361 = torch.aten.int_repr %4360 : !torch.vtensor<[32,1536,5,5],!torch.qint8> -> !torch.vtensor<[32,1536,5,5],si8>
%4362 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4363 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4364 = torch.aten._make_per_tensor_quantized_tensor %4361, %4362, %4363 : !torch.vtensor<[32,1536,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1536,5,5],!torch.qint8>
%4365 = torch.aten.dequantize.self %4364 : !torch.vtensor<[32,1536,5,5],!torch.qint8> -> !torch.vtensor<[32,1536,5,5],f32>
%int12_1831 = torch.constant.int 12
%4366 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4367 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4368 = torch.aten.quantize_per_tensor %278, %4366, %4367, %int12_1831 : !torch.vtensor<[256,1536,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,1536,1,1],!torch.qint8>
%4369 = torch.aten.int_repr %4368 : !torch.vtensor<[256,1536,1,1],!torch.qint8> -> !torch.vtensor<[256,1536,1,1],si8>
%4370 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4371 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4372 = torch.aten._make_per_tensor_quantized_tensor %4369, %4370, %4371 : !torch.vtensor<[256,1536,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,1536,1,1],!torch.qint8>
%4373 = torch.aten.dequantize.self %4372 : !torch.vtensor<[256,1536,1,1],!torch.qint8> -> !torch.vtensor<[256,1536,1,1],f32>
%int12_1832 = torch.constant.int 12
%4374 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%4375 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4376 = torch.aten.quantize_per_tensor %279, %4374, %4375, %int12_1832 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4377 = torch.aten.int_repr %4376 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%4378 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%4379 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4380 = torch.aten._make_per_tensor_quantized_tensor %4377, %4378, %4379 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4381 = torch.aten.dequantize.self %4380 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1833 = torch.constant.int 0
%int0_1834 = torch.constant.int 0
%int1_1835 = torch.constant.int 1
%int1_1836 = torch.constant.int 1
%int1_1837 = torch.constant.int 1
%int1_1838 = torch.constant.int 1
%int0_1839 = torch.constant.int 0
%4382 = torch.prim.ListConstruct %int0_1833, %int0_1834 : (!torch.int, !torch.int) -> !torch.list<int>
%4383 = torch.prim.ListConstruct %int1_1835, %int1_1836 : (!torch.int, !torch.int) -> !torch.list<int>
%4384 = torch.prim.ListConstruct %int1_1837, %int1_1838 : (!torch.int, !torch.int) -> !torch.list<int>
%4385 = torch.prim.ListConstruct %int0_1839, %int0_1839 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1840 = torch.constant.bool false
%int1_1841 = torch.constant.int 1
%4386 = torch.aten.convolution %4365, %4373, %4381, %4384, %4382, %4383, %false_1840, %4385, %int1_1841 : !torch.vtensor<[32,1536,5,5],f32>, !torch.vtensor<[256,1536,1,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%4387 = torch.aten.relu %4386 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%int12_1842 = torch.constant.int 12
%4388 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%4389 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4390 = torch.aten.quantize_per_tensor %280, %4388, %4389, %int12_1842 : !torch.vtensor<[384,1536,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384,1536,1,1],!torch.qint8>
%4391 = torch.aten.int_repr %4390 : !torch.vtensor<[384,1536,1,1],!torch.qint8> -> !torch.vtensor<[384,1536,1,1],si8>
%4392 = torch.aten.item %304 : !torch.vtensor<[],f32> -> !torch.float
%4393 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4394 = torch.aten._make_per_tensor_quantized_tensor %4391, %4392, %4393 : !torch.vtensor<[384,1536,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[384,1536,1,1],!torch.qint8>
%4395 = torch.aten.dequantize.self %4394 : !torch.vtensor<[384,1536,1,1],!torch.qint8> -> !torch.vtensor<[384,1536,1,1],f32>
%int12_1843 = torch.constant.int 12
%4396 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4397 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4398 = torch.aten.quantize_per_tensor %281, %4396, %4397, %int12_1843 : !torch.vtensor<[384],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%4399 = torch.aten.int_repr %4398 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],si8>
%4400 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4401 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4402 = torch.aten._make_per_tensor_quantized_tensor %4399, %4400, %4401 : !torch.vtensor<[384],si8>, !torch.float, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%4403 = torch.aten.dequantize.self %4402 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],f32>
%int0_1844 = torch.constant.int 0
%int0_1845 = torch.constant.int 0
%int1_1846 = torch.constant.int 1
%int1_1847 = torch.constant.int 1
%int1_1848 = torch.constant.int 1
%int1_1849 = torch.constant.int 1
%int0_1850 = torch.constant.int 0
%4404 = torch.prim.ListConstruct %int0_1844, %int0_1845 : (!torch.int, !torch.int) -> !torch.list<int>
%4405 = torch.prim.ListConstruct %int1_1846, %int1_1847 : (!torch.int, !torch.int) -> !torch.list<int>
%4406 = torch.prim.ListConstruct %int1_1848, %int1_1849 : (!torch.int, !torch.int) -> !torch.list<int>
%4407 = torch.prim.ListConstruct %int0_1850, %int0_1850 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1851 = torch.constant.bool false
%int1_1852 = torch.constant.int 1
%4408 = torch.aten.convolution %4365, %4395, %4403, %4406, %4404, %4405, %false_1851, %4407, %int1_1852 : !torch.vtensor<[32,1536,5,5],f32>, !torch.vtensor<[384,1536,1,1],f32>, !torch.vtensor<[384],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,384,5,5],f32>
%4409 = torch.aten.relu %4408 : !torch.vtensor<[32,384,5,5],f32> -> !torch.vtensor<[32,384,5,5],f32>
%int12_1853 = torch.constant.int 12
%4410 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4411 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4412 = torch.aten.quantize_per_tensor %4409, %4410, %4411, %int12_1853 : !torch.vtensor<[32,384,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,384,5,5],!torch.qint8>
%4413 = torch.aten.int_repr %4412 : !torch.vtensor<[32,384,5,5],!torch.qint8> -> !torch.vtensor<[32,384,5,5],si8>
%4414 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4415 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4416 = torch.aten._make_per_tensor_quantized_tensor %4413, %4414, %4415 : !torch.vtensor<[32,384,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,384,5,5],!torch.qint8>
%4417 = torch.aten.dequantize.self %4416 : !torch.vtensor<[32,384,5,5],!torch.qint8> -> !torch.vtensor<[32,384,5,5],f32>
%int12_1854 = torch.constant.int 12
%4418 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4419 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4420 = torch.aten.quantize_per_tensor %282, %4418, %4419, %int12_1854 : !torch.vtensor<[256,384,1,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,384,1,3],!torch.qint8>
%4421 = torch.aten.int_repr %4420 : !torch.vtensor<[256,384,1,3],!torch.qint8> -> !torch.vtensor<[256,384,1,3],si8>
%4422 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4423 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4424 = torch.aten._make_per_tensor_quantized_tensor %4421, %4422, %4423 : !torch.vtensor<[256,384,1,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,384,1,3],!torch.qint8>
%4425 = torch.aten.dequantize.self %4424 : !torch.vtensor<[256,384,1,3],!torch.qint8> -> !torch.vtensor<[256,384,1,3],f32>
%int12_1855 = torch.constant.int 12
%4426 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4427 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4428 = torch.aten.quantize_per_tensor %283, %4426, %4427, %int12_1855 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4429 = torch.aten.int_repr %4428 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%4430 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4431 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4432 = torch.aten._make_per_tensor_quantized_tensor %4429, %4430, %4431 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4433 = torch.aten.dequantize.self %4432 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1856 = torch.constant.int 0
%int1_1857 = torch.constant.int 1
%int1_1858 = torch.constant.int 1
%int1_1859 = torch.constant.int 1
%int1_1860 = torch.constant.int 1
%int1_1861 = torch.constant.int 1
%int0_1862 = torch.constant.int 0
%4434 = torch.prim.ListConstruct %int0_1856, %int1_1857 : (!torch.int, !torch.int) -> !torch.list<int>
%4435 = torch.prim.ListConstruct %int1_1858, %int1_1859 : (!torch.int, !torch.int) -> !torch.list<int>
%4436 = torch.prim.ListConstruct %int1_1860, %int1_1861 : (!torch.int, !torch.int) -> !torch.list<int>
%4437 = torch.prim.ListConstruct %int0_1862, %int0_1862 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1863 = torch.constant.bool false
%int1_1864 = torch.constant.int 1
%4438 = torch.aten.convolution %4417, %4425, %4433, %4436, %4434, %4435, %false_1863, %4437, %int1_1864 : !torch.vtensor<[32,384,5,5],f32>, !torch.vtensor<[256,384,1,3],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%4439 = torch.aten.relu %4438 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%int12_1865 = torch.constant.int 12
%4440 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4441 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4442 = torch.aten.quantize_per_tensor %284, %4440, %4441, %int12_1865 : !torch.vtensor<[256,384,3,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,384,3,1],!torch.qint8>
%4443 = torch.aten.int_repr %4442 : !torch.vtensor<[256,384,3,1],!torch.qint8> -> !torch.vtensor<[256,384,3,1],si8>
%4444 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4445 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4446 = torch.aten._make_per_tensor_quantized_tensor %4443, %4444, %4445 : !torch.vtensor<[256,384,3,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,384,3,1],!torch.qint8>
%4447 = torch.aten.dequantize.self %4446 : !torch.vtensor<[256,384,3,1],!torch.qint8> -> !torch.vtensor<[256,384,3,1],f32>
%int12_1866 = torch.constant.int 12
%4448 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4449 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4450 = torch.aten.quantize_per_tensor %285, %4448, %4449, %int12_1866 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4451 = torch.aten.int_repr %4450 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%4452 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4453 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4454 = torch.aten._make_per_tensor_quantized_tensor %4451, %4452, %4453 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4455 = torch.aten.dequantize.self %4454 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int1_1867 = torch.constant.int 1
%int0_1868 = torch.constant.int 0
%int1_1869 = torch.constant.int 1
%int1_1870 = torch.constant.int 1
%int1_1871 = torch.constant.int 1
%int1_1872 = torch.constant.int 1
%int0_1873 = torch.constant.int 0
%4456 = torch.prim.ListConstruct %int1_1867, %int0_1868 : (!torch.int, !torch.int) -> !torch.list<int>
%4457 = torch.prim.ListConstruct %int1_1869, %int1_1870 : (!torch.int, !torch.int) -> !torch.list<int>
%4458 = torch.prim.ListConstruct %int1_1871, %int1_1872 : (!torch.int, !torch.int) -> !torch.list<int>
%4459 = torch.prim.ListConstruct %int0_1873, %int0_1873 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1874 = torch.constant.bool false
%int1_1875 = torch.constant.int 1
%4460 = torch.aten.convolution %4417, %4447, %4455, %4458, %4456, %4457, %false_1874, %4459, %int1_1875 : !torch.vtensor<[32,384,5,5],f32>, !torch.vtensor<[256,384,3,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%4461 = torch.aten.relu %4460 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%int12_1876 = torch.constant.int 12
%4462 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4463 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4464 = torch.aten.quantize_per_tensor %286, %4462, %4463, %int12_1876 : !torch.vtensor<[384,1536,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384,1536,1,1],!torch.qint8>
%4465 = torch.aten.int_repr %4464 : !torch.vtensor<[384,1536,1,1],!torch.qint8> -> !torch.vtensor<[384,1536,1,1],si8>
%4466 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4467 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4468 = torch.aten._make_per_tensor_quantized_tensor %4465, %4466, %4467 : !torch.vtensor<[384,1536,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[384,1536,1,1],!torch.qint8>
%4469 = torch.aten.dequantize.self %4468 : !torch.vtensor<[384,1536,1,1],!torch.qint8> -> !torch.vtensor<[384,1536,1,1],f32>
%int12_1877 = torch.constant.int 12
%4470 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%4471 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4472 = torch.aten.quantize_per_tensor %287, %4470, %4471, %int12_1877 : !torch.vtensor<[384],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%4473 = torch.aten.int_repr %4472 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],si8>
%4474 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%4475 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4476 = torch.aten._make_per_tensor_quantized_tensor %4473, %4474, %4475 : !torch.vtensor<[384],si8>, !torch.float, !torch.int -> !torch.vtensor<[384],!torch.qint8>
%4477 = torch.aten.dequantize.self %4476 : !torch.vtensor<[384],!torch.qint8> -> !torch.vtensor<[384],f32>
%int0_1878 = torch.constant.int 0
%int0_1879 = torch.constant.int 0
%int1_1880 = torch.constant.int 1
%int1_1881 = torch.constant.int 1
%int1_1882 = torch.constant.int 1
%int1_1883 = torch.constant.int 1
%int0_1884 = torch.constant.int 0
%4478 = torch.prim.ListConstruct %int0_1878, %int0_1879 : (!torch.int, !torch.int) -> !torch.list<int>
%4479 = torch.prim.ListConstruct %int1_1880, %int1_1881 : (!torch.int, !torch.int) -> !torch.list<int>
%4480 = torch.prim.ListConstruct %int1_1882, %int1_1883 : (!torch.int, !torch.int) -> !torch.list<int>
%4481 = torch.prim.ListConstruct %int0_1884, %int0_1884 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1885 = torch.constant.bool false
%int1_1886 = torch.constant.int 1
%4482 = torch.aten.convolution %4365, %4469, %4477, %4480, %4478, %4479, %false_1885, %4481, %int1_1886 : !torch.vtensor<[32,1536,5,5],f32>, !torch.vtensor<[384,1536,1,1],f32>, !torch.vtensor<[384],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,384,5,5],f32>
%4483 = torch.aten.relu %4482 : !torch.vtensor<[32,384,5,5],f32> -> !torch.vtensor<[32,384,5,5],f32>
%int12_1887 = torch.constant.int 12
%4484 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4485 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4486 = torch.aten.quantize_per_tensor %4483, %4484, %4485, %int12_1887 : !torch.vtensor<[32,384,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,384,5,5],!torch.qint8>
%4487 = torch.aten.int_repr %4486 : !torch.vtensor<[32,384,5,5],!torch.qint8> -> !torch.vtensor<[32,384,5,5],si8>
%4488 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4489 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4490 = torch.aten._make_per_tensor_quantized_tensor %4487, %4488, %4489 : !torch.vtensor<[32,384,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,384,5,5],!torch.qint8>
%4491 = torch.aten.dequantize.self %4490 : !torch.vtensor<[32,384,5,5],!torch.qint8> -> !torch.vtensor<[32,384,5,5],f32>
%int12_1888 = torch.constant.int 12
%4492 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4493 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4494 = torch.aten.quantize_per_tensor %288, %4492, %4493, %int12_1888 : !torch.vtensor<[448,384,3,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[448,384,3,1],!torch.qint8>
%4495 = torch.aten.int_repr %4494 : !torch.vtensor<[448,384,3,1],!torch.qint8> -> !torch.vtensor<[448,384,3,1],si8>
%4496 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4497 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4498 = torch.aten._make_per_tensor_quantized_tensor %4495, %4496, %4497 : !torch.vtensor<[448,384,3,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[448,384,3,1],!torch.qint8>
%4499 = torch.aten.dequantize.self %4498 : !torch.vtensor<[448,384,3,1],!torch.qint8> -> !torch.vtensor<[448,384,3,1],f32>
%int12_1889 = torch.constant.int 12
%4500 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4501 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4502 = torch.aten.quantize_per_tensor %289, %4500, %4501, %int12_1889 : !torch.vtensor<[448],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[448],!torch.qint8>
%4503 = torch.aten.int_repr %4502 : !torch.vtensor<[448],!torch.qint8> -> !torch.vtensor<[448],si8>
%4504 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4505 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4506 = torch.aten._make_per_tensor_quantized_tensor %4503, %4504, %4505 : !torch.vtensor<[448],si8>, !torch.float, !torch.int -> !torch.vtensor<[448],!torch.qint8>
%4507 = torch.aten.dequantize.self %4506 : !torch.vtensor<[448],!torch.qint8> -> !torch.vtensor<[448],f32>
%int1_1890 = torch.constant.int 1
%int0_1891 = torch.constant.int 0
%int1_1892 = torch.constant.int 1
%int1_1893 = torch.constant.int 1
%int1_1894 = torch.constant.int 1
%int1_1895 = torch.constant.int 1
%int0_1896 = torch.constant.int 0
%4508 = torch.prim.ListConstruct %int1_1890, %int0_1891 : (!torch.int, !torch.int) -> !torch.list<int>
%4509 = torch.prim.ListConstruct %int1_1892, %int1_1893 : (!torch.int, !torch.int) -> !torch.list<int>
%4510 = torch.prim.ListConstruct %int1_1894, %int1_1895 : (!torch.int, !torch.int) -> !torch.list<int>
%4511 = torch.prim.ListConstruct %int0_1896, %int0_1896 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1897 = torch.constant.bool false
%int1_1898 = torch.constant.int 1
%4512 = torch.aten.convolution %4491, %4499, %4507, %4510, %4508, %4509, %false_1897, %4511, %int1_1898 : !torch.vtensor<[32,384,5,5],f32>, !torch.vtensor<[448,384,3,1],f32>, !torch.vtensor<[448],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,448,5,5],f32>
%4513 = torch.aten.relu %4512 : !torch.vtensor<[32,448,5,5],f32> -> !torch.vtensor<[32,448,5,5],f32>
%int12_1899 = torch.constant.int 12
%4514 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%4515 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4516 = torch.aten.quantize_per_tensor %4513, %4514, %4515, %int12_1899 : !torch.vtensor<[32,448,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,448,5,5],!torch.qint8>
%4517 = torch.aten.int_repr %4516 : !torch.vtensor<[32,448,5,5],!torch.qint8> -> !torch.vtensor<[32,448,5,5],si8>
%4518 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%4519 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4520 = torch.aten._make_per_tensor_quantized_tensor %4517, %4518, %4519 : !torch.vtensor<[32,448,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,448,5,5],!torch.qint8>
%4521 = torch.aten.dequantize.self %4520 : !torch.vtensor<[32,448,5,5],!torch.qint8> -> !torch.vtensor<[32,448,5,5],f32>
%int12_1900 = torch.constant.int 12
%4522 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4523 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4524 = torch.aten.quantize_per_tensor %290, %4522, %4523, %int12_1900 : !torch.vtensor<[512,448,1,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[512,448,1,3],!torch.qint8>
%4525 = torch.aten.int_repr %4524 : !torch.vtensor<[512,448,1,3],!torch.qint8> -> !torch.vtensor<[512,448,1,3],si8>
%4526 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4527 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4528 = torch.aten._make_per_tensor_quantized_tensor %4525, %4526, %4527 : !torch.vtensor<[512,448,1,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[512,448,1,3],!torch.qint8>
%4529 = torch.aten.dequantize.self %4528 : !torch.vtensor<[512,448,1,3],!torch.qint8> -> !torch.vtensor<[512,448,1,3],f32>
%int12_1901 = torch.constant.int 12
%4530 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4531 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4532 = torch.aten.quantize_per_tensor %291, %4530, %4531, %int12_1901 : !torch.vtensor<[512],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[512],!torch.qint8>
%4533 = torch.aten.int_repr %4532 : !torch.vtensor<[512],!torch.qint8> -> !torch.vtensor<[512],si8>
%4534 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4535 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4536 = torch.aten._make_per_tensor_quantized_tensor %4533, %4534, %4535 : !torch.vtensor<[512],si8>, !torch.float, !torch.int -> !torch.vtensor<[512],!torch.qint8>
%4537 = torch.aten.dequantize.self %4536 : !torch.vtensor<[512],!torch.qint8> -> !torch.vtensor<[512],f32>
%int0_1902 = torch.constant.int 0
%int1_1903 = torch.constant.int 1
%int1_1904 = torch.constant.int 1
%int1_1905 = torch.constant.int 1
%int1_1906 = torch.constant.int 1
%int1_1907 = torch.constant.int 1
%int0_1908 = torch.constant.int 0
%4538 = torch.prim.ListConstruct %int0_1902, %int1_1903 : (!torch.int, !torch.int) -> !torch.list<int>
%4539 = torch.prim.ListConstruct %int1_1904, %int1_1905 : (!torch.int, !torch.int) -> !torch.list<int>
%4540 = torch.prim.ListConstruct %int1_1906, %int1_1907 : (!torch.int, !torch.int) -> !torch.list<int>
%4541 = torch.prim.ListConstruct %int0_1908, %int0_1908 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1909 = torch.constant.bool false
%int1_1910 = torch.constant.int 1
%4542 = torch.aten.convolution %4521, %4529, %4537, %4540, %4538, %4539, %false_1909, %4541, %int1_1910 : !torch.vtensor<[32,448,5,5],f32>, !torch.vtensor<[512,448,1,3],f32>, !torch.vtensor<[512],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,512,5,5],f32>
%4543 = torch.aten.relu %4542 : !torch.vtensor<[32,512,5,5],f32> -> !torch.vtensor<[32,512,5,5],f32>
%int12_1911 = torch.constant.int 12
%4544 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4545 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4546 = torch.aten.quantize_per_tensor %4543, %4544, %4545, %int12_1911 : !torch.vtensor<[32,512,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,512,5,5],!torch.qint8>
%4547 = torch.aten.int_repr %4546 : !torch.vtensor<[32,512,5,5],!torch.qint8> -> !torch.vtensor<[32,512,5,5],si8>
%4548 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4549 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4550 = torch.aten._make_per_tensor_quantized_tensor %4547, %4548, %4549 : !torch.vtensor<[32,512,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,512,5,5],!torch.qint8>
%4551 = torch.aten.dequantize.self %4550 : !torch.vtensor<[32,512,5,5],!torch.qint8> -> !torch.vtensor<[32,512,5,5],f32>
%int12_1912 = torch.constant.int 12
%4552 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4553 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4554 = torch.aten.quantize_per_tensor %292, %4552, %4553, %int12_1912 : !torch.vtensor<[256,512,1,3],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,512,1,3],!torch.qint8>
%4555 = torch.aten.int_repr %4554 : !torch.vtensor<[256,512,1,3],!torch.qint8> -> !torch.vtensor<[256,512,1,3],si8>
%4556 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4557 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4558 = torch.aten._make_per_tensor_quantized_tensor %4555, %4556, %4557 : !torch.vtensor<[256,512,1,3],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,512,1,3],!torch.qint8>
%4559 = torch.aten.dequantize.self %4558 : !torch.vtensor<[256,512,1,3],!torch.qint8> -> !torch.vtensor<[256,512,1,3],f32>
%int12_1913 = torch.constant.int 12
%4560 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4561 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4562 = torch.aten.quantize_per_tensor %293, %4560, %4561, %int12_1913 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4563 = torch.aten.int_repr %4562 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%4564 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4565 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4566 = torch.aten._make_per_tensor_quantized_tensor %4563, %4564, %4565 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4567 = torch.aten.dequantize.self %4566 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1914 = torch.constant.int 0
%int1_1915 = torch.constant.int 1
%int1_1916 = torch.constant.int 1
%int1_1917 = torch.constant.int 1
%int1_1918 = torch.constant.int 1
%int1_1919 = torch.constant.int 1
%int0_1920 = torch.constant.int 0
%4568 = torch.prim.ListConstruct %int0_1914, %int1_1915 : (!torch.int, !torch.int) -> !torch.list<int>
%4569 = torch.prim.ListConstruct %int1_1916, %int1_1917 : (!torch.int, !torch.int) -> !torch.list<int>
%4570 = torch.prim.ListConstruct %int1_1918, %int1_1919 : (!torch.int, !torch.int) -> !torch.list<int>
%4571 = torch.prim.ListConstruct %int0_1920, %int0_1920 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1921 = torch.constant.bool false
%int1_1922 = torch.constant.int 1
%4572 = torch.aten.convolution %4551, %4559, %4567, %4570, %4568, %4569, %false_1921, %4571, %int1_1922 : !torch.vtensor<[32,512,5,5],f32>, !torch.vtensor<[256,512,1,3],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%4573 = torch.aten.relu %4572 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%int12_1923 = torch.constant.int 12
%4574 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4575 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4576 = torch.aten.quantize_per_tensor %294, %4574, %4575, %int12_1923 : !torch.vtensor<[256,512,3,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,512,3,1],!torch.qint8>
%4577 = torch.aten.int_repr %4576 : !torch.vtensor<[256,512,3,1],!torch.qint8> -> !torch.vtensor<[256,512,3,1],si8>
%4578 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4579 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4580 = torch.aten._make_per_tensor_quantized_tensor %4577, %4578, %4579 : !torch.vtensor<[256,512,3,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,512,3,1],!torch.qint8>
%4581 = torch.aten.dequantize.self %4580 : !torch.vtensor<[256,512,3,1],!torch.qint8> -> !torch.vtensor<[256,512,3,1],f32>
%int12_1924 = torch.constant.int 12
%4582 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4583 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4584 = torch.aten.quantize_per_tensor %295, %4582, %4583, %int12_1924 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4585 = torch.aten.int_repr %4584 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%4586 = torch.aten.item %305 : !torch.vtensor<[],f32> -> !torch.float
%4587 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4588 = torch.aten._make_per_tensor_quantized_tensor %4585, %4586, %4587 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4589 = torch.aten.dequantize.self %4588 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int1_1925 = torch.constant.int 1
%int0_1926 = torch.constant.int 0
%int1_1927 = torch.constant.int 1
%int1_1928 = torch.constant.int 1
%int1_1929 = torch.constant.int 1
%int1_1930 = torch.constant.int 1
%int0_1931 = torch.constant.int 0
%4590 = torch.prim.ListConstruct %int1_1925, %int0_1926 : (!torch.int, !torch.int) -> !torch.list<int>
%4591 = torch.prim.ListConstruct %int1_1927, %int1_1928 : (!torch.int, !torch.int) -> !torch.list<int>
%4592 = torch.prim.ListConstruct %int1_1929, %int1_1930 : (!torch.int, !torch.int) -> !torch.list<int>
%4593 = torch.prim.ListConstruct %int0_1931, %int0_1931 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1932 = torch.constant.bool false
%int1_1933 = torch.constant.int 1
%4594 = torch.aten.convolution %4551, %4581, %4589, %4592, %4590, %4591, %false_1932, %4593, %int1_1933 : !torch.vtensor<[32,512,5,5],f32>, !torch.vtensor<[256,512,3,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%4595 = torch.aten.relu %4594 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%4596 = torch.prim.ListConstruct %4573, %4595 : (!torch.vtensor<[32,256,5,5],f32>, !torch.vtensor<[32,256,5,5],f32>) -> !torch.list<vtensor>
%int1_1934 = torch.constant.int 1
%4597 = torch.aten.cat %4596, %int1_1934 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,512,5,5],f32>
%int12_1935 = torch.constant.int 12
%4598 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%4599 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4600 = torch.aten.quantize_per_tensor %4597, %4598, %4599, %int12_1935 : !torch.vtensor<[32,512,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,512,5,5],!torch.qint8>
%4601 = torch.aten.int_repr %4600 : !torch.vtensor<[32,512,5,5],!torch.qint8> -> !torch.vtensor<[32,512,5,5],si8>
%4602 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%4603 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4604 = torch.aten._make_per_tensor_quantized_tensor %4601, %4602, %4603 : !torch.vtensor<[32,512,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,512,5,5],!torch.qint8>
%4605 = torch.aten.dequantize.self %4604 : !torch.vtensor<[32,512,5,5],!torch.qint8> -> !torch.vtensor<[32,512,5,5],f32>
%int3_1936 = torch.constant.int 3
%int3_1937 = torch.constant.int 3
%int1_1938 = torch.constant.int 1
%int1_1939 = torch.constant.int 1
%int1_1940 = torch.constant.int 1
%int1_1941 = torch.constant.int 1
%int1_1942 = torch.constant.int 1
%int1_1943 = torch.constant.int 1
%4606 = torch.prim.ListConstruct %int3_1936, %int3_1937 : (!torch.int, !torch.int) -> !torch.list<int>
%4607 = torch.prim.ListConstruct %int1_1938, %int1_1939, %int1_1940, %int1_1941 : (!torch.int, !torch.int, !torch.int, !torch.int) -> !torch.list<int>
%4608 = torch.prim.ListConstruct %int1_1942, %int1_1943 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1944 = torch.constant.bool false
%false_1945 = torch.constant.bool false
%none_1946 = torch.constant.none
%4609 = torch.aten.avg_pool2d %4365, %4606, %4608, %4607, %false_1944, %false_1945, %none_1946 : !torch.vtensor<[32,1536,5,5],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[32,1536,5,5],f32>
%4610 = torch.aten.mul.Tensor %4609, %308 : !torch.vtensor<[32,1536,5,5],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[32,1536,5,5],f32>
%int12_1947 = torch.constant.int 12
%4611 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4612 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4613 = torch.aten.quantize_per_tensor %4610, %4611, %4612, %int12_1947 : !torch.vtensor<[32,1536,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1536,5,5],!torch.qint8>
%4614 = torch.aten.int_repr %4613 : !torch.vtensor<[32,1536,5,5],!torch.qint8> -> !torch.vtensor<[32,1536,5,5],si8>
%4615 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4616 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4617 = torch.aten._make_per_tensor_quantized_tensor %4614, %4615, %4616 : !torch.vtensor<[32,1536,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1536,5,5],!torch.qint8>
%4618 = torch.aten.dequantize.self %4617 : !torch.vtensor<[32,1536,5,5],!torch.qint8> -> !torch.vtensor<[32,1536,5,5],f32>
%int12_1948 = torch.constant.int 12
%4619 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4620 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4621 = torch.aten.quantize_per_tensor %296, %4619, %4620, %int12_1948 : !torch.vtensor<[256,1536,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256,1536,1,1],!torch.qint8>
%4622 = torch.aten.int_repr %4621 : !torch.vtensor<[256,1536,1,1],!torch.qint8> -> !torch.vtensor<[256,1536,1,1],si8>
%4623 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4624 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4625 = torch.aten._make_per_tensor_quantized_tensor %4622, %4623, %4624 : !torch.vtensor<[256,1536,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[256,1536,1,1],!torch.qint8>
%4626 = torch.aten.dequantize.self %4625 : !torch.vtensor<[256,1536,1,1],!torch.qint8> -> !torch.vtensor<[256,1536,1,1],f32>
%int12_1949 = torch.constant.int 12
%4627 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4628 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4629 = torch.aten.quantize_per_tensor %297, %4627, %4628, %int12_1949 : !torch.vtensor<[256],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4630 = torch.aten.int_repr %4629 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],si8>
%4631 = torch.aten.item %302 : !torch.vtensor<[],f32> -> !torch.float
%4632 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4633 = torch.aten._make_per_tensor_quantized_tensor %4630, %4631, %4632 : !torch.vtensor<[256],si8>, !torch.float, !torch.int -> !torch.vtensor<[256],!torch.qint8>
%4634 = torch.aten.dequantize.self %4633 : !torch.vtensor<[256],!torch.qint8> -> !torch.vtensor<[256],f32>
%int0_1950 = torch.constant.int 0
%int0_1951 = torch.constant.int 0
%int1_1952 = torch.constant.int 1
%int1_1953 = torch.constant.int 1
%int1_1954 = torch.constant.int 1
%int1_1955 = torch.constant.int 1
%int0_1956 = torch.constant.int 0
%4635 = torch.prim.ListConstruct %int0_1950, %int0_1951 : (!torch.int, !torch.int) -> !torch.list<int>
%4636 = torch.prim.ListConstruct %int1_1952, %int1_1953 : (!torch.int, !torch.int) -> !torch.list<int>
%4637 = torch.prim.ListConstruct %int1_1954, %int1_1955 : (!torch.int, !torch.int) -> !torch.list<int>
%4638 = torch.prim.ListConstruct %int0_1956, %int0_1956 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1957 = torch.constant.bool false
%int1_1958 = torch.constant.int 1
%4639 = torch.aten.convolution %4618, %4626, %4634, %4637, %4635, %4636, %false_1957, %4638, %int1_1958 : !torch.vtensor<[32,1536,5,5],f32>, !torch.vtensor<[256,1536,1,1],f32>, !torch.vtensor<[256],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.list<int>, !torch.int -> !torch.vtensor<[32,256,5,5],f32>
%4640 = torch.aten.relu %4639 : !torch.vtensor<[32,256,5,5],f32> -> !torch.vtensor<[32,256,5,5],f32>
%4641 = torch.prim.ListConstruct %4387, %4439, %4461, %4605, %4640 : (!torch.vtensor<[32,256,5,5],f32>, !torch.vtensor<[32,256,5,5],f32>, !torch.vtensor<[32,256,5,5],f32>, !torch.vtensor<[32,512,5,5],f32>, !torch.vtensor<[32,256,5,5],f32>) -> !torch.list<vtensor>
%int1_1959 = torch.constant.int 1
%4642 = torch.aten.cat %4641, %int1_1959 : !torch.list<vtensor>, !torch.int -> !torch.vtensor<[32,1536,5,5],f32>
%int12_1960 = torch.constant.int 12
%4643 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%4644 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4645 = torch.aten.quantize_per_tensor %4642, %4643, %4644, %int12_1960 : !torch.vtensor<[32,1536,5,5],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1536,5,5],!torch.qint8>
%4646 = torch.aten.int_repr %4645 : !torch.vtensor<[32,1536,5,5],!torch.qint8> -> !torch.vtensor<[32,1536,5,5],si8>
%4647 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%4648 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4649 = torch.aten._make_per_tensor_quantized_tensor %4646, %4647, %4648 : !torch.vtensor<[32,1536,5,5],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1536,5,5],!torch.qint8>
%4650 = torch.aten.dequantize.self %4649 : !torch.vtensor<[32,1536,5,5],!torch.qint8> -> !torch.vtensor<[32,1536,5,5],f32>
%int0_1961 = torch.constant.int 0
%int1_1962 = torch.constant.int 1
%int5 = torch.constant.int 5
%int5_1963 = torch.constant.int 5
%4651 = torch.prim.ListConstruct %int5, %int5_1963 : (!torch.int, !torch.int) -> !torch.list<int>
%4652 = torch.prim.ListConstruct %int0_1961, %int0_1961 : (!torch.int, !torch.int) -> !torch.list<int>
%4653 = torch.prim.ListConstruct %int1_1962, %int1_1962 : (!torch.int, !torch.int) -> !torch.list<int>
%false_1964 = torch.constant.bool false
%none_1965 = torch.constant.none
%4654 = torch.aten.avg_pool2d %4650, %4651, %4653, %4652, %false_1964, %false_1964, %none_1965 : !torch.vtensor<[32,1536,5,5],f32>, !torch.list<int>, !torch.list<int>, !torch.list<int>, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[32,1536,1,1],f32>
%4655 = torch.aten.mul.Tensor %4654, %309 : !torch.vtensor<[32,1536,1,1],f32>, !torch.vtensor<[],f32> -> !torch.vtensor<[32,1536,1,1],f32>
%int12_1966 = torch.constant.int 12
%4656 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4657 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4658 = torch.aten.quantize_per_tensor %4655, %4656, %4657, %int12_1966 : !torch.vtensor<[32,1536,1,1],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1536,1,1],!torch.qint8>
%4659 = torch.aten.int_repr %4658 : !torch.vtensor<[32,1536,1,1],!torch.qint8> -> !torch.vtensor<[32,1536,1,1],si8>
%4660 = torch.aten.item %306 : !torch.vtensor<[],f32> -> !torch.float
%4661 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4662 = torch.aten._make_per_tensor_quantized_tensor %4659, %4660, %4661 : !torch.vtensor<[32,1536,1,1],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1536,1,1],!torch.qint8>
%4663 = torch.aten.dequantize.self %4662 : !torch.vtensor<[32,1536,1,1],!torch.qint8> -> !torch.vtensor<[32,1536,1,1],f32>
%int1_1967 = torch.constant.int 1
%int3_1968 = torch.constant.int 3
%4664 = torch.prims.collapse %4663, %int1_1967, %int3_1968 : !torch.vtensor<[32,1536,1,1],f32>, !torch.int, !torch.int -> !torch.vtensor<[32,1536],f32>
%int0_1969 = torch.constant.int 0
%int0_1970 = torch.constant.int 0
%4665 = torch.prims.collapse %4664, %int0_1969, %int0_1970 : !torch.vtensor<[32,1536],f32>, !torch.int, !torch.int -> !torch.vtensor<[32,1536],f32>
%int12_1971 = torch.constant.int 12
%4666 = torch.aten.item %310 : !torch.vtensor<[],f32> -> !torch.float
%4667 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4668 = torch.aten.quantize_per_tensor %298, %4666, %4667, %int12_1971 : !torch.vtensor<[1000,1536],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1000,1536],!torch.qint8>
%4669 = torch.aten.int_repr %4668 : !torch.vtensor<[1000,1536],!torch.qint8> -> !torch.vtensor<[1000,1536],si8>
%4670 = torch.aten.item %310 : !torch.vtensor<[],f32> -> !torch.float
%4671 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4672 = torch.aten._make_per_tensor_quantized_tensor %4669, %4670, %4671 : !torch.vtensor<[1000,1536],si8>, !torch.float, !torch.int -> !torch.vtensor<[1000,1536],!torch.qint8>
%4673 = torch.aten.dequantize.self %4672 : !torch.vtensor<[1000,1536],!torch.qint8> -> !torch.vtensor<[1000,1536],f32>
%int12_1972 = torch.constant.int 12
%4674 = torch.aten.item %310 : !torch.vtensor<[],f32> -> !torch.float
%4675 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4676 = torch.aten.quantize_per_tensor %299, %4674, %4675, %int12_1972 : !torch.vtensor<[1000],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[1000],!torch.qint8>
%4677 = torch.aten.int_repr %4676 : !torch.vtensor<[1000],!torch.qint8> -> !torch.vtensor<[1000],si8>
%4678 = torch.aten.item %310 : !torch.vtensor<[],f32> -> !torch.float
%4679 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4680 = torch.aten._make_per_tensor_quantized_tensor %4677, %4678, %4679 : !torch.vtensor<[1000],si8>, !torch.float, !torch.int -> !torch.vtensor<[1000],!torch.qint8>
%4681 = torch.aten.dequantize.self %4680 : !torch.vtensor<[1000],!torch.qint8> -> !torch.vtensor<[1000],f32>
%int0_1973 = torch.constant.int 0
%int1_1974 = torch.constant.int 1
%4682 = torch.aten.transpose.int %4673, %int0_1973, %int1_1974 : !torch.vtensor<[1000,1536],f32>, !torch.int, !torch.int -> !torch.vtensor<[1536,1000],f32>
%4683 = torch.aten.mm %4665, %4682 : !torch.vtensor<[32,1536],f32>, !torch.vtensor<[1536,1000],f32> -> !torch.vtensor<[32,1000],f32>
%4684 = torch.aten.add.Tensor %4683, %4681, %int1_1974 : !torch.vtensor<[32,1000],f32>, !torch.vtensor<[1000],f32>, !torch.int -> !torch.vtensor<[32,1000],f32>
%int12_1975 = torch.constant.int 12
%4685 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%4686 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4687 = torch.aten.quantize_per_tensor %4684, %4685, %4686, %int12_1975 : !torch.vtensor<[32,1000],f32>, !torch.float, !torch.int, !torch.int -> !torch.vtensor<[32,1000],!torch.qint8>
%4688 = torch.aten.int_repr %4687 : !torch.vtensor<[32,1000],!torch.qint8> -> !torch.vtensor<[32,1000],si8>
%4689 = torch.aten.item %300 : !torch.vtensor<[],f32> -> !torch.float
%4690 = torch.aten.item %301 : !torch.vtensor<[],si8> -> !torch.int
%4691 = torch.aten._make_per_tensor_quantized_tensor %4688, %4689, %4690 : !torch.vtensor<[32,1000],si8>, !torch.float, !torch.int -> !torch.vtensor<[32,1000],!torch.qint8>
%4692 = torch.aten.dequantize.self %4691 : !torch.vtensor<[32,1000],!torch.qint8> -> !torch.vtensor<[32,1000],f32>
return %4692 : !torch.vtensor<[32,1000],f32>
}
}
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