fixed format

manifest.json

@@ -1,3 +1,1275 @@
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+      "byteLength": 576,
+      "layout": "row-major"
+    },
+    "operand_49": {
+      "dataType": "float32",
+      "shape": [
+        144,
+        1,
+        3,
+        3
+      ],
+      "byteOffset": 13727784,
+      "byteLength": 5184,
+      "layout": "row-major"
+    },
+    "operand_50": {
+      "dataType": "float32",
+      "shape": [
+        1,
+        144,
+        1,
+        1
+      ],
+      "byteOffset": 13732968,
+      "byteLength": 576,
+      "layout": "row-major"
+    },
+    "operand_54": {
+      "dataType": "float32",
+      "shape": [
+        32,
+        144,
+        1,
+        1
+      ],
+      "byteOffset": 13733544,
+      "byteLength": 18432,
+      "layout": "row-major"
+    },
+    "operand_55": {
+      "dataType": "float32",
+      "shape": [
+        1,
+        32,
+        1,
+        1
+      ],
+      "byteOffset": 13751976,
+      "byteLength": 128,
+      "layout": "row-major"
+    },
+    "operand_58": {
+      "dataType": "float32",
+      "shape": [
+        192,
+        32,
+        1,
+        1
+      ],
+      "byteOffset": 13752104,
+      "byteLength": 24576,
+      "layout": "row-major"
+    },
+    "operand_59": {
+      "dataType": "float32",
+      "shape": [
+        1,
+        192,
+        1,
+        1
+      ],
+      "byteOffset": 13776680,
+      "byteLength": 768,
+      "layout": "row-major"
+    },
+    "operand_6": {
+      "dataType": "float32",
+      "shape": [
+        32,
+        1,
+        3,
+        3
+      ],
+      "byteOffset": 13777448,
+      "byteLength": 1152,
+      "layout": "row-major"
+    },
+    "operand_63": {
+      "dataType": "float32",
+      "shape": [
+        192,
+        1,
+        3,
+        3
+      ],
+      "byteOffset": 13778600,
+      "byteLength": 6912,
+      "layout": "row-major"
+    },
+    "operand_64": {
+      "dataType": "float32",
+      "shape": [
+        1,
+        192,
+        1,
+        1
+      ],
+      "byteOffset": 13785512,
+      "byteLength": 768,
+      "layout": "row-major"
+    },
+    "operand_68": {
+      "dataType": "float32",
+      "shape": [
+        32,
+        192,
+        1,
+        1
+      ],
+      "byteOffset": 13786280,
+      "byteLength": 24576,
+      "layout": "row-major"
+    },
+    "operand_69": {
+      "dataType": "float32",
+      "shape": [
+        1,
+        32,
+        1,
+        1
+      ],
+      "byteOffset": 13810856,
+      "byteLength": 128,
+      "layout": "row-major"
+    },
+    "operand_7": {
+      "dataType": "float32",
+      "shape": [
+        1,
+        32,
+        1,
+        1
+      ],
+      "byteOffset": 13810984,
+      "byteLength": 128,
+      "layout": "row-major"
+    },
+    "operand_73": {
+      "dataType": "float32",
+      "shape": [
+        192,
+        32,
+        1,
+        1
+      ],
+      "byteOffset": 13811112,
+      "byteLength": 24576,
+      "layout": "row-major"
+    },
+    "operand_74": {
+      "dataType": "float32",
+      "shape": [
+        1,
+        192,
+        1,
+        1
+      ],
+      "byteOffset": 13835688,
+      "byteLength": 768,
+      "layout": "row-major"
+    },
+    "operand_78": {
+      "dataType": "float32",
+      "shape": [
+        192,
+        1,
+        3,
+        3
+      ],
+      "byteOffset": 13836456,
+      "byteLength": 6912,
+      "layout": "row-major"
+    },
+    "operand_79": {
+      "dataType": "float32",
+      "shape": [
+        1,
+        192,
+        1,
+        1
+      ],
+      "byteOffset": 13843368,
+      "byteLength": 768,
+      "layout": "row-major"
+    },
+    "operand_83": {
+      "dataType": "float32",
+      "shape": [
+        32,
+        192,
+        1,
+        1
+      ],
+      "byteOffset": 13844136,
+      "byteLength": 24576,
+      "layout": "row-major"
+    },
+    "operand_84": {
+      "dataType": "float32",
+      "shape": [
+        1,
+        32,
+        1,
+        1
+      ],
+      "byteOffset": 13868712,
+      "byteLength": 128,
+      "layout": "row-major"
+    },
+    "operand_88": {
+      "dataType": "float32",
+      "shape": [
+        192,
+        32,
+        1,
+        1
+      ],
+      "byteOffset": 13868840,
+      "byteLength": 24576,
+      "layout": "row-major"
+    },
+    "operand_89": {
+      "dataType": "float32",
+      "shape": [
+        1,
+        192,
+        1,
+        1
+      ],
+      "byteOffset": 13893416,
+      "byteLength": 768,
+      "layout": "row-major"
+    },
+    "operand_93": {
+      "dataType": "float32",
+      "shape": [
+        192,
+        1,
+        3,
+        3
+      ],
+      "byteOffset": 13894184,
+      "byteLength": 6912,
+      "layout": "row-major"
+    },
+    "operand_94": {
+      "dataType": "float32",
+      "shape": [
+        1,
+        192,
+        1,
+        1
+      ],
+      "byteOffset": 13901096,
+      "byteLength": 768,
+      "layout": "row-major"
+    },
+    "operand_98": {
+      "dataType": "float32",
+      "shape": [
+        64,
+        192,
+        1,
+        1
+      ],
+      "byteOffset": 13901864,
+      "byteLength": 49152,
+      "layout": "row-major"
+    },
+    "operand_99": {
+      "dataType": "float32",
+      "shape": [
+        1,
+        64,
+        1,
+        1
+      ],
+      "byteOffset": 13951016,
+      "byteLength": 256,
+      "layout": "row-major"
+    }
+  }
+}

model.webnn

@@ -1,3 +1,275 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7a431d3d8171c66ddc9e35ec2680c0e3f23fefd88400911e471c19acadd663d2
-size 19021
+webnn_graph "mobilenetv2" v1 {
+  inputs {
+    input: f32[1, 3, 224, 224];
+  }
+
+  consts {
+    operand_1: f32[32, 3, 3, 3] @weights("operand_1");
+    operand_102: f32[384, 64, 1, 1] @weights("operand_102");
+    operand_103: f32[1, 384, 1, 1] @weights("operand_103");
+    operand_107: f32[384, 1, 3, 3] @weights("operand_107");
+    operand_108: f32[1, 384, 1, 1] @weights("operand_108");
+    operand_11: f32[16, 32, 1, 1] @weights("operand_11");
+    operand_112: f32[64, 384, 1, 1] @weights("operand_112");
+    operand_113: f32[1, 64, 1, 1] @weights("operand_113");
+    operand_117: f32[384, 64, 1, 1] @weights("operand_117");
+    operand_118: f32[1, 384, 1, 1] @weights("operand_118");
+    operand_12: f32[1, 16, 1, 1] @weights("operand_12");
+    operand_122: f32[384, 1, 3, 3] @weights("operand_122");
+    operand_123: f32[1, 384, 1, 1] @weights("operand_123");
+    operand_127: f32[64, 384, 1, 1] @weights("operand_127");
+    operand_128: f32[1, 64, 1, 1] @weights("operand_128");
+    operand_132: f32[384, 64, 1, 1] @weights("operand_132");
+    operand_133: f32[1, 384, 1, 1] @weights("operand_133");
+    operand_137: f32[384, 1, 3, 3] @weights("operand_137");
+    operand_138: f32[1, 384, 1, 1] @weights("operand_138");
+    operand_142: f32[64, 384, 1, 1] @weights("operand_142");
+    operand_143: f32[1, 64, 1, 1] @weights("operand_143");
+    operand_147: f32[384, 64, 1, 1] @weights("operand_147");
+    operand_148: f32[1, 384, 1, 1] @weights("operand_148");
+    operand_15: f32[96, 16, 1, 1] @weights("operand_15");
+    operand_152: f32[384, 1, 3, 3] @weights("operand_152");
+    operand_153: f32[1, 384, 1, 1] @weights("operand_153");
+    operand_157: f32[96, 384, 1, 1] @weights("operand_157");
+    operand_158: f32[1, 96, 1, 1] @weights("operand_158");
+    operand_16: f32[1, 96, 1, 1] @weights("operand_16");
+    operand_161: f32[576, 96, 1, 1] @weights("operand_161");
+    operand_162: f32[1, 576, 1, 1] @weights("operand_162");
+    operand_166: f32[576, 1, 3, 3] @weights("operand_166");
+    operand_167: f32[1, 576, 1, 1] @weights("operand_167");
+    operand_171: f32[96, 576, 1, 1] @weights("operand_171");
+    operand_172: f32[1, 96, 1, 1] @weights("operand_172");
+    operand_176: f32[576, 96, 1, 1] @weights("operand_176");
+    operand_177: f32[1, 576, 1, 1] @weights("operand_177");
+    operand_181: f32[576, 1, 3, 3] @weights("operand_181");
+    operand_182: f32[1, 576, 1, 1] @weights("operand_182");
+    operand_186: f32[96, 576, 1, 1] @weights("operand_186");
+    operand_187: f32[1, 96, 1, 1] @weights("operand_187");
+    operand_191: f32[576, 96, 1, 1] @weights("operand_191");
+    operand_192: f32[1, 576, 1, 1] @weights("operand_192");
+    operand_196: f32[576, 1, 3, 3] @weights("operand_196");
+    operand_197: f32[1, 576, 1, 1] @weights("operand_197");
+    operand_2: f32[1, 32, 1, 1] @weights("operand_2");
+    operand_20: f32[96, 1, 3, 3] @weights("operand_20");
+    operand_201: f32[160, 576, 1, 1] @weights("operand_201");
+    operand_202: f32[1, 160, 1, 1] @weights("operand_202");
+    operand_205: f32[960, 160, 1, 1] @weights("operand_205");
+    operand_206: f32[1, 960, 1, 1] @weights("operand_206");
+    operand_21: f32[1, 96, 1, 1] @weights("operand_21");
+    operand_210: f32[960, 1, 3, 3] @weights("operand_210");
+    operand_211: f32[1, 960, 1, 1] @weights("operand_211");
+    operand_215: f32[160, 960, 1, 1] @weights("operand_215");
+    operand_216: f32[1, 160, 1, 1] @weights("operand_216");
+    operand_220: f32[960, 160, 1, 1] @weights("operand_220");
+    operand_221: f32[1, 960, 1, 1] @weights("operand_221");
+    operand_225: f32[960, 1, 3, 3] @weights("operand_225");
+    operand_226: f32[1, 960, 1, 1] @weights("operand_226");
+    operand_230: f32[160, 960, 1, 1] @weights("operand_230");
+    operand_231: f32[1, 160, 1, 1] @weights("operand_231");
+    operand_235: f32[960, 160, 1, 1] @weights("operand_235");
+    operand_236: f32[1, 960, 1, 1] @weights("operand_236");
+    operand_240: f32[960, 1, 3, 3] @weights("operand_240");
+    operand_241: f32[1, 960, 1, 1] @weights("operand_241");
+    operand_245: f32[320, 960, 1, 1] @weights("operand_245");
+    operand_246: f32[1, 320, 1, 1] @weights("operand_246");
+    operand_249: f32[1280, 320, 1, 1] @weights("operand_249");
+    operand_25: f32[24, 96, 1, 1] @weights("operand_25");
+    operand_250: f32[1, 1280, 1, 1] @weights("operand_250");
+    operand_256: f32[1000, 1280] @weights("operand_256");
+    operand_257: f32[1, 1000] @weights("operand_257");
+    operand_26: f32[1, 24, 1, 1] @weights("operand_26");
+    operand_29: f32[144, 24, 1, 1] @weights("operand_29");
+    operand_30: f32[1, 144, 1, 1] @weights("operand_30");
+    operand_34: f32[144, 1, 3, 3] @weights("operand_34");
+    operand_35: f32[1, 144, 1, 1] @weights("operand_35");
+    operand_39: f32[24, 144, 1, 1] @weights("operand_39");
+    operand_40: f32[1, 24, 1, 1] @weights("operand_40");
+    operand_44: f32[144, 24, 1, 1] @weights("operand_44");
+    operand_45: f32[1, 144, 1, 1] @weights("operand_45");
+    operand_49: f32[144, 1, 3, 3] @weights("operand_49");
+    operand_50: f32[1, 144, 1, 1] @weights("operand_50");
+    operand_54: f32[32, 144, 1, 1] @weights("operand_54");
+    operand_55: f32[1, 32, 1, 1] @weights("operand_55");
+    operand_58: f32[192, 32, 1, 1] @weights("operand_58");
+    operand_59: f32[1, 192, 1, 1] @weights("operand_59");
+    operand_6: f32[32, 1, 3, 3] @weights("operand_6");
+    operand_63: f32[192, 1, 3, 3] @weights("operand_63");
+    operand_64: f32[1, 192, 1, 1] @weights("operand_64");
+    operand_68: f32[32, 192, 1, 1] @weights("operand_68");
+    operand_69: f32[1, 32, 1, 1] @weights("operand_69");
+    operand_7: f32[1, 32, 1, 1] @weights("operand_7");
+    operand_73: f32[192, 32, 1, 1] @weights("operand_73");
+    operand_74: f32[1, 192, 1, 1] @weights("operand_74");
+    operand_78: f32[192, 1, 3, 3] @weights("operand_78");
+    operand_79: f32[1, 192, 1, 1] @weights("operand_79");
+    operand_83: f32[32, 192, 1, 1] @weights("operand_83");
+    operand_84: f32[1, 32, 1, 1] @weights("operand_84");
+    operand_88: f32[192, 32, 1, 1] @weights("operand_88");
+    operand_89: f32[1, 192, 1, 1] @weights("operand_89");
+    operand_93: f32[192, 1, 3, 3] @weights("operand_93");
+    operand_94: f32[1, 192, 1, 1] @weights("operand_94");
+    operand_98: f32[64, 192, 1, 1] @weights("operand_98");
+    operand_99: f32[1, 64, 1, 1] @weights("operand_99");
+  }
+
+  nodes {
+    operand_3 = conv2d(input, operand_1, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[2, 2]);
+    operand_4 = add(operand_3, operand_2);
+    operand_5 = clamp(operand_4, max_value=6.0, min_value=0.0);
+    operand_8 = conv2d(operand_5, operand_6, dilations=[1, 1], filterLayout="oihw", groups=32, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[1, 1]);
+    operand_9 = add(operand_8, operand_7);
+    operand_10 = clamp(operand_9, max_value=6.0, min_value=0.0);
+    operand_13 = conv2d(operand_10, operand_11, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_14 = add(operand_13, operand_12);
+    operand_17 = conv2d(operand_14, operand_15, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_18 = add(operand_17, operand_16);
+    operand_19 = clamp(operand_18, max_value=6.0, min_value=0.0);
+    operand_22 = conv2d(operand_19, operand_20, dilations=[1, 1], filterLayout="oihw", groups=96, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[2, 2]);
+    operand_23 = add(operand_22, operand_21);
+    operand_24 = clamp(operand_23, max_value=6.0, min_value=0.0);
+    operand_27 = conv2d(operand_24, operand_25, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_28 = add(operand_27, operand_26);
+    operand_31 = conv2d(operand_28, operand_29, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_32 = add(operand_31, operand_30);
+    operand_33 = clamp(operand_32, max_value=6.0, min_value=0.0);
+    operand_36 = conv2d(operand_33, operand_34, dilations=[1, 1], filterLayout="oihw", groups=144, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[1, 1]);
+    operand_37 = add(operand_36, operand_35);
+    operand_38 = clamp(operand_37, max_value=6.0, min_value=0.0);
+    operand_41 = conv2d(operand_38, operand_39, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_42 = add(operand_41, operand_40);
+    operand_43 = add(operand_42, operand_28);
+    operand_46 = conv2d(operand_43, operand_44, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_47 = add(operand_46, operand_45);
+    operand_48 = clamp(operand_47, max_value=6.0, min_value=0.0);
+    operand_51 = conv2d(operand_48, operand_49, dilations=[1, 1], filterLayout="oihw", groups=144, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[2, 2]);
+    operand_52 = add(operand_51, operand_50);
+    operand_53 = clamp(operand_52, max_value=6.0, min_value=0.0);
+    operand_56 = conv2d(operand_53, operand_54, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_57 = add(operand_56, operand_55);
+    operand_60 = conv2d(operand_57, operand_58, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_61 = add(operand_60, operand_59);
+    operand_62 = clamp(operand_61, max_value=6.0, min_value=0.0);
+    operand_65 = conv2d(operand_62, operand_63, dilations=[1, 1], filterLayout="oihw", groups=192, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[1, 1]);
+    operand_66 = add(operand_65, operand_64);
+    operand_67 = clamp(operand_66, max_value=6.0, min_value=0.0);
+    operand_70 = conv2d(operand_67, operand_68, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_71 = add(operand_70, operand_69);
+    operand_72 = add(operand_71, operand_57);
+    operand_75 = conv2d(operand_72, operand_73, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_76 = add(operand_75, operand_74);
+    operand_77 = clamp(operand_76, max_value=6.0, min_value=0.0);
+    operand_80 = conv2d(operand_77, operand_78, dilations=[1, 1], filterLayout="oihw", groups=192, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[1, 1]);
+    operand_81 = add(operand_80, operand_79);
+    operand_82 = clamp(operand_81, max_value=6.0, min_value=0.0);
+    operand_85 = conv2d(operand_82, operand_83, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_86 = add(operand_85, operand_84);
+    operand_87 = add(operand_86, operand_72);
+    operand_90 = conv2d(operand_87, operand_88, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_91 = add(operand_90, operand_89);
+    operand_92 = clamp(operand_91, max_value=6.0, min_value=0.0);
+    operand_95 = conv2d(operand_92, operand_93, dilations=[1, 1], filterLayout="oihw", groups=192, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[2, 2]);
+    operand_96 = add(operand_95, operand_94);
+    operand_97 = clamp(operand_96, max_value=6.0, min_value=0.0);
+    operand_100 = conv2d(operand_97, operand_98, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_101 = add(operand_100, operand_99);
+    operand_104 = conv2d(operand_101, operand_102, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_105 = add(operand_104, operand_103);
+    operand_106 = clamp(operand_105, max_value=6.0, min_value=0.0);
+    operand_109 = conv2d(operand_106, operand_107, dilations=[1, 1], filterLayout="oihw", groups=384, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[1, 1]);
+    operand_110 = add(operand_109, operand_108);
+    operand_111 = clamp(operand_110, max_value=6.0, min_value=0.0);
+    operand_114 = conv2d(operand_111, operand_112, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_115 = add(operand_114, operand_113);
+    operand_116 = add(operand_115, operand_101);
+    operand_119 = conv2d(operand_116, operand_117, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_120 = add(operand_119, operand_118);
+    operand_121 = clamp(operand_120, max_value=6.0, min_value=0.0);
+    operand_124 = conv2d(operand_121, operand_122, dilations=[1, 1], filterLayout="oihw", groups=384, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[1, 1]);
+    operand_125 = add(operand_124, operand_123);
+    operand_126 = clamp(operand_125, max_value=6.0, min_value=0.0);
+    operand_129 = conv2d(operand_126, operand_127, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_130 = add(operand_129, operand_128);
+    operand_131 = add(operand_130, operand_116);
+    operand_134 = conv2d(operand_131, operand_132, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_135 = add(operand_134, operand_133);
+    operand_136 = clamp(operand_135, max_value=6.0, min_value=0.0);
+    operand_139 = conv2d(operand_136, operand_137, dilations=[1, 1], filterLayout="oihw", groups=384, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[1, 1]);
+    operand_140 = add(operand_139, operand_138);
+    operand_141 = clamp(operand_140, max_value=6.0, min_value=0.0);
+    operand_144 = conv2d(operand_141, operand_142, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_145 = add(operand_144, operand_143);
+    operand_146 = add(operand_145, operand_131);
+    operand_149 = conv2d(operand_146, operand_147, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_150 = add(operand_149, operand_148);
+    operand_151 = clamp(operand_150, max_value=6.0, min_value=0.0);
+    operand_154 = conv2d(operand_151, operand_152, dilations=[1, 1], filterLayout="oihw", groups=384, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[1, 1]);
+    operand_155 = add(operand_154, operand_153);
+    operand_156 = clamp(operand_155, max_value=6.0, min_value=0.0);
+    operand_159 = conv2d(operand_156, operand_157, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_160 = add(operand_159, operand_158);
+    operand_163 = conv2d(operand_160, operand_161, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_164 = add(operand_163, operand_162);
+    operand_165 = clamp(operand_164, max_value=6.0, min_value=0.0);
+    operand_168 = conv2d(operand_165, operand_166, dilations=[1, 1], filterLayout="oihw", groups=576, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[1, 1]);
+    operand_169 = add(operand_168, operand_167);
+    operand_170 = clamp(operand_169, max_value=6.0, min_value=0.0);
+    operand_173 = conv2d(operand_170, operand_171, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_174 = add(operand_173, operand_172);
+    operand_175 = add(operand_174, operand_160);
+    operand_178 = conv2d(operand_175, operand_176, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_179 = add(operand_178, operand_177);
+    operand_180 = clamp(operand_179, max_value=6.0, min_value=0.0);
+    operand_183 = conv2d(operand_180, operand_181, dilations=[1, 1], filterLayout="oihw", groups=576, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[1, 1]);
+    operand_184 = add(operand_183, operand_182);
+    operand_185 = clamp(operand_184, max_value=6.0, min_value=0.0);
+    operand_188 = conv2d(operand_185, operand_186, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_189 = add(operand_188, operand_187);
+    operand_190 = add(operand_189, operand_175);
+    operand_193 = conv2d(operand_190, operand_191, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_194 = add(operand_193, operand_192);
+    operand_195 = clamp(operand_194, max_value=6.0, min_value=0.0);
+    operand_198 = conv2d(operand_195, operand_196, dilations=[1, 1], filterLayout="oihw", groups=576, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[2, 2]);
+    operand_199 = add(operand_198, operand_197);
+    operand_200 = clamp(operand_199, max_value=6.0, min_value=0.0);
+    operand_203 = conv2d(operand_200, operand_201, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_204 = add(operand_203, operand_202);
+    operand_207 = conv2d(operand_204, operand_205, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_208 = add(operand_207, operand_206);
+    operand_209 = clamp(operand_208, max_value=6.0, min_value=0.0);
+    operand_212 = conv2d(operand_209, operand_210, dilations=[1, 1], filterLayout="oihw", groups=960, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[1, 1]);
+    operand_213 = add(operand_212, operand_211);
+    operand_214 = clamp(operand_213, max_value=6.0, min_value=0.0);
+    operand_217 = conv2d(operand_214, operand_215, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_218 = add(operand_217, operand_216);
+    operand_219 = add(operand_218, operand_204);
+    operand_222 = conv2d(operand_219, operand_220, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_223 = add(operand_222, operand_221);
+    operand_224 = clamp(operand_223, max_value=6.0, min_value=0.0);
+    operand_227 = conv2d(operand_224, operand_225, dilations=[1, 1], filterLayout="oihw", groups=960, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[1, 1]);
+    operand_228 = add(operand_227, operand_226);
+    operand_229 = clamp(operand_228, max_value=6.0, min_value=0.0);
+    operand_232 = conv2d(operand_229, operand_230, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_233 = add(operand_232, operand_231);
+    operand_234 = add(operand_233, operand_219);
+    operand_237 = conv2d(operand_234, operand_235, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_238 = add(operand_237, operand_236);
+    operand_239 = clamp(operand_238, max_value=6.0, min_value=0.0);
+    operand_242 = conv2d(operand_239, operand_240, dilations=[1, 1], filterLayout="oihw", groups=960, inputLayout="nchw", pads=[1, 1, 1, 1], strides=[1, 1]);
+    operand_243 = add(operand_242, operand_241);
+    operand_244 = clamp(operand_243, max_value=6.0, min_value=0.0);
+    operand_247 = conv2d(operand_244, operand_245, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_248 = add(operand_247, operand_246);
+    operand_251 = conv2d(operand_248, operand_249, dilations=[1, 1], filterLayout="oihw", groups=1, inputLayout="nchw", pads=[0, 0, 0, 0], strides=[1, 1]);
+    operand_252 = add(operand_251, operand_250);
+    operand_253 = clamp(operand_252, max_value=6.0, min_value=0.0);
+    operand_254 = globalAveragePool(operand_253, layout="nchw");
+    operand_255 = reshape(operand_254, newShape=[1, 1280]);
+    operand_258 = gemm(operand_255, operand_256, a_transpose=False, alpha=1.0, b_transpose=True, beta=1.0, has_bias=False);
+    operand_259 = add(operand_258, operand_257);
+    output = softmax(operand_259);
+  }
+
+  outputs {
+    output;
+  }
+}