{"format_version":1,"text":"program(1.3)\n[buildInfo = dict({{\"coremlc-component-MIL\", \"3510.2.1\"}, {\"coremlc-version\", \"3505.4.1\"}, {\"coremltools-component-milinternal\", \"\"}, {\"coremltools-version\", \"9.0\"}})]\n{\n func main(tensor hid_in, tensor conv_in0, tensor rec_in0, tensor conv_in1, tensor rec_in1, tensor conv_in2, tensor rec_in2) {\n tensor norm_w_1 = const()[name = string(\"norm_w_1\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64)))];\n tensor abs_2 = abs(x=hid_in)[name = string(\"abs_2\")];\n tensor iv_3 = const()[name = string(\"iv_3\"), val = tensor([1])];\n bool b_4 = const()[name = string(\"b_4\"), val = bool(true)];\n tensor reduce_max_5 = reduce_max(x=abs_2, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_5\")];\n fp16 c_6 = const()[name = string(\"c_6\"), val = fp16(0.062500000000)];\n tensor maximum_7 = maximum(x=reduce_max_5, y=c_6)[name = string(\"maximum_7\")];\n fp16 c_8 = const()[name = string(\"c_8\"), val = fp16(1.000000000000)];\n tensor real_div_9 = real_div(x=c_8, y=maximum_7)[name = string(\"real_div_9\")];\n tensor mul_10 = mul(x=hid_in, y=real_div_9)[name = string(\"mul_10\")];\n fp16 c_11 = const()[name = string(\"c_11\"), val = fp16(2.000000000000)];\n tensor pow_12 = pow(x=mul_10, y=c_11)[name = string(\"pow_12\")];\n tensor reduce_sum_13 = reduce_sum(x=pow_12, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_sum_13\")];\n fp16 c_14 = const()[name = string(\"c_14\"), val = fp16(0.000195312500)];\n tensor mul_15 = mul(x=reduce_sum_13, y=c_14)[name = string(\"mul_15\")];\n tensor pow_16 = pow(x=real_div_9, y=c_11)[name = string(\"pow_16\")];\n fp16 c_17 = const()[name = string(\"c_17\"), val = fp16(0.000001000000)];\n tensor mul_18 = mul(x=pow_16, y=c_17)[name = string(\"mul_18\")];\n tensor add_19 = add(x=mul_15, y=mul_18)[name = string(\"add_19\")];\n fp16 c_20 = const()[name = string(\"c_20\"), val = fp16(0.000000000000)];\n tensor rsqrt_21 = rsqrt(x=add_19, epsilon=c_20)[name = string(\"rsqrt_21\")];\n tensor mul_22 = mul(x=mul_10, y=rsqrt_21)[name = string(\"mul_22\")];\n tensor mul_23 = mul(x=mul_22, y=norm_w_1)[name = string(\"mul_23\")];\n tensor w_qkv_lut_24 = const()[name = string(\"w_qkv_lut_24\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(39332032)))];\n tensor w_qkv_25 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(10368))), lut = w_qkv_lut_24)[name = string(\"w_qkv_25\")];\n tensor iv_26 = const()[name = string(\"iv_26\"), val = tensor([1, 1])];\n int32 i_27 = const()[name = string(\"i_27\"), val = int32(1)];\n tensor iv_28 = const()[name = string(\"iv_28\"), val = tensor([0, 0, 0, 0])];\n string str_29 = const()[name = string(\"str_29\"), val = string(\"valid\")];\n tensor conv_30 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_qkv_25, x=mul_23)[name = string(\"conv_30\")];\n tensor w_z_lut_31 = const()[name = string(\"w_z_lut_31\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(63007040)))];\n tensor w_z_32 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(39414016))), lut = w_z_lut_31)[name = string(\"w_z_32\")];\n tensor conv_33 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_z_32, x=mul_23)[name = string(\"conv_33\")];\n tensor w_b_34 = const()[name = string(\"w_b_34\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(63056256)))];\n tensor conv_35 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_b_34, x=mul_23)[name = string(\"conv_35\")];\n tensor w_a_36 = const()[name = string(\"w_a_36\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(63547840)))];\n tensor conv_37 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_a_36, x=mul_23)[name = string(\"conv_37\")];\n int32 i_38 = const()[name = string(\"i_38\"), val = int32(3)];\n bool b_39 = const()[name = string(\"b_39\"), val = bool(false)];\n tensor concat_40 = concat(axis=i_38, interleave=b_39, values=(conv_in0, conv_30))[name = string(\"concat_40\")];\n tensor iv_41 = const()[name = string(\"iv_41\"), val = tensor([0, 0, 0, 128])];\n tensor iv_42 = const()[name = string(\"iv_42\"), val = tensor([1, 10240, 1, 3])];\n tensor slice_by_size_43 = slice_by_size(x=concat_40, begin=iv_41, size=iv_42)[name = string(\"slice_by_size_43\")];\n tensor w_conv_44 = const()[name = string(\"w_conv_44\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64039424)))];\n int32 i_45 = const()[name = string(\"i_45\"), val = int32(10240)];\n tensor conv_46 = conv(dilations=iv_26, groups=i_45, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_conv_44, x=concat_40)[name = string(\"conv_46\")];\n fp16 c_47 = const()[name = string(\"c_47\"), val = fp16(-1.000000000000)];\n tensor mul_48 = mul(x=conv_46, y=c_47)[name = string(\"mul_48\")];\n tensor exp_49 = exp(x=mul_48)[name = string(\"exp_49\")];\n tensor add_50 = add(x=exp_49, y=c_8)[name = string(\"add_50\")];\n tensor real_div_51 = real_div(x=conv_46, y=add_50)[name = string(\"real_div_51\")];\n tensor iv_52 = const()[name = string(\"iv_52\"), val = tensor([1, 2048, 1, 128])];\n tensor slice_by_size_53 = slice_by_size(x=real_div_51, begin=iv_28, size=iv_52)[name = string(\"slice_by_size_53\")];\n tensor iv_54 = const()[name = string(\"iv_54\"), val = tensor([1, 16, 128, 128])];\n tensor reshape_55 = reshape(shape=iv_54, x=slice_by_size_53)[name = string(\"reshape_55\")];\n tensor iv_56 = const()[name = string(\"iv_56\"), val = tensor([0, 1, 3, 2])];\n tensor transpose_57 = transpose(perm=iv_56, x=reshape_55)[name = string(\"transpose_57\")];\n tensor iv_58 = const()[name = string(\"iv_58\"), val = tensor([0, 2048, 0, 0])];\n tensor slice_by_size_59 = slice_by_size(x=real_div_51, begin=iv_58, size=iv_52)[name = string(\"slice_by_size_59\")];\n tensor reshape_60 = reshape(shape=iv_54, x=slice_by_size_59)[name = string(\"reshape_60\")];\n tensor transpose_61 = transpose(perm=iv_56, x=reshape_60)[name = string(\"transpose_61\")];\n tensor iv_62 = const()[name = string(\"iv_62\"), val = tensor([0, 4096, 0, 0])];\n tensor iv_63 = const()[name = string(\"iv_63\"), val = tensor([1, 6144, 1, 128])];\n tensor slice_by_size_64 = slice_by_size(x=real_div_51, begin=iv_62, size=iv_63)[name = string(\"slice_by_size_64\")];\n tensor iv_65 = const()[name = string(\"iv_65\"), val = tensor([1, 48, 128, 128])];\n tensor reshape_66 = reshape(shape=iv_65, x=slice_by_size_64)[name = string(\"reshape_66\")];\n tensor transpose_67 = transpose(perm=iv_56, x=reshape_66)[name = string(\"transpose_67\")];\n tensor pow_68 = pow(x=transpose_57, y=c_11)[name = string(\"pow_68\")];\n tensor iv_69 = const()[name = string(\"iv_69\"), val = tensor([3])];\n tensor reduce_sum_70 = reduce_sum(x=pow_68, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_sum_70\")];\n tensor rsqrt_71 = rsqrt(x=reduce_sum_70, epsilon=c_17)[name = string(\"rsqrt_71\")];\n tensor mul_72 = mul(x=transpose_57, y=rsqrt_71)[name = string(\"mul_72\")];\n tensor iv_73 = const()[name = string(\"iv_73\"), val = tensor([1, 16, 1, 16384])];\n tensor reshape_74 = reshape(shape=iv_73, x=mul_72)[name = string(\"reshape_74\")];\n int32 i_75 = const()[name = string(\"i_75\"), val = int32(2)];\n tensor concat_76 = concat(axis=i_75, interleave=b_39, values=(reshape_74, reshape_74, reshape_74))[name = string(\"concat_76\")];\n tensor reshape_77 = reshape(shape=iv_65, x=concat_76)[name = string(\"reshape_77\")];\n tensor pow_78 = pow(x=transpose_61, y=c_11)[name = string(\"pow_78\")];\n tensor reduce_sum_79 = reduce_sum(x=pow_78, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_sum_79\")];\n tensor rsqrt_80 = rsqrt(x=reduce_sum_79, epsilon=c_17)[name = string(\"rsqrt_80\")];\n tensor mul_81 = mul(x=transpose_61, y=rsqrt_80)[name = string(\"mul_81\")];\n tensor reshape_82 = reshape(shape=iv_73, x=mul_81)[name = string(\"reshape_82\")];\n tensor concat_83 = concat(axis=i_75, interleave=b_39, values=(reshape_82, reshape_82, reshape_82))[name = string(\"concat_83\")];\n tensor reshape_84 = reshape(shape=iv_65, x=concat_83)[name = string(\"reshape_84\")];\n tensor mul_85 = mul(x=conv_35, y=c_47)[name = string(\"mul_85\")];\n tensor exp_86 = exp(x=mul_85)[name = string(\"exp_86\")];\n tensor add_87 = add(x=exp_86, y=c_8)[name = string(\"add_87\")];\n tensor real_div_88 = real_div(x=c_8, y=add_87)[name = string(\"real_div_88\")];\n tensor transpose_89 = transpose(perm=iv_56, x=real_div_88)[name = string(\"transpose_89\")];\n tensor dt_bias_90 = const()[name = string(\"dt_bias_90\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64121408)))];\n tensor neg_a_91 = const()[name = string(\"neg_a_91\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64121600)))];\n tensor add_92 = add(x=conv_37, y=dt_bias_90)[name = string(\"add_92\")];\n fp16 c_93 = const()[name = string(\"c_93\"), val = fp16(-2.000000000000)];\n tensor minimum_94 = minimum(x=add_92, y=c_93)[name = string(\"minimum_94\")];\n tensor exp_95 = exp(x=minimum_94)[name = string(\"exp_95\")];\n fp16 c_96 = const()[name = string(\"c_96\"), val = fp16(0.250000000000)];\n tensor mul_97 = mul(x=exp_95, y=c_96)[name = string(\"mul_97\")];\n tensor mul_98 = mul(x=mul_97, y=c_47)[name = string(\"mul_98\")];\n fp16 c_99 = const()[name = string(\"c_99\"), val = fp16(0.333333333000)];\n tensor add_100 = add(x=mul_98, y=c_99)[name = string(\"add_100\")];\n tensor mul_101 = mul(x=exp_95, y=add_100)[name = string(\"mul_101\")];\n tensor mul_102 = mul(x=mul_101, y=c_47)[name = string(\"mul_102\")];\n fp16 c_103 = const()[name = string(\"c_103\"), val = fp16(0.500000000000)];\n tensor add_104 = add(x=mul_102, y=c_103)[name = string(\"add_104\")];\n tensor mul_105 = mul(x=exp_95, y=add_104)[name = string(\"mul_105\")];\n tensor mul_106 = mul(x=mul_105, y=c_47)[name = string(\"mul_106\")];\n tensor add_107 = add(x=mul_106, y=c_8)[name = string(\"add_107\")];\n tensor mul_108 = mul(x=exp_95, y=add_107)[name = string(\"mul_108\")];\n fp16 c_109 = const()[name = string(\"c_109\"), val = fp16(8.000000000000)];\n tensor minimum_110 = minimum(x=add_92, y=c_109)[name = string(\"minimum_110\")];\n tensor maximum_111 = maximum(x=minimum_110, y=c_93)[name = string(\"maximum_111\")];\n tensor softplus_112 = softplus(x=maximum_111)[name = string(\"softplus_112\")];\n tensor sub_113 = sub(x=add_92, y=c_109)[name = string(\"sub_113\")];\n tensor maximum_114 = maximum(x=sub_113, y=c_20)[name = string(\"maximum_114\")];\n tensor add_115 = add(x=softplus_112, y=maximum_114)[name = string(\"add_115\")];\n tensor mul_116 = mul(x=add_92, y=c_47)[name = string(\"mul_116\")];\n tensor add_117 = add(x=mul_116, y=c_93)[name = string(\"add_117\")];\n fp16 c_118 = const()[name = string(\"c_118\"), val = fp16(64.000000000000)];\n tensor mul_119 = mul(x=add_117, y=c_118)[name = string(\"mul_119\")];\n tensor maximum_120 = maximum(x=mul_119, y=c_20)[name = string(\"maximum_120\")];\n tensor minimum_121 = minimum(x=maximum_120, y=c_8)[name = string(\"minimum_121\")];\n tensor mul_122 = mul(x=minimum_121, y=mul_108)[name = string(\"mul_122\")];\n tensor mul_123 = mul(x=minimum_121, y=c_47)[name = string(\"mul_123\")];\n tensor add_124 = add(x=mul_123, y=c_8)[name = string(\"add_124\")];\n tensor mul_125 = mul(x=add_124, y=add_115)[name = string(\"mul_125\")];\n tensor add_126 = add(x=mul_122, y=mul_125)[name = string(\"add_126\")];\n tensor mul_127 = mul(x=add_126, y=neg_a_91)[name = string(\"mul_127\")];\n tensor transpose_128 = transpose(perm=iv_56, x=mul_127)[name = string(\"transpose_128\")];\n tensor iv_129 = const()[name = string(\"iv_129\"), val = tensor([1, 48, 64, 128])];\n tensor slice_by_size_130 = slice_by_size(x=reshape_77, begin=iv_28, size=iv_129)[name = string(\"slice_by_size_130\")];\n tensor slice_by_size_131 = slice_by_size(x=reshape_84, begin=iv_28, size=iv_129)[name = string(\"slice_by_size_131\")];\n tensor slice_by_size_132 = slice_by_size(x=transpose_67, begin=iv_28, size=iv_129)[name = string(\"slice_by_size_132\")];\n tensor iv_133 = const()[name = string(\"iv_133\"), val = tensor([1, 48, 64, 1])];\n tensor slice_by_size_134 = slice_by_size(x=transpose_89, begin=iv_28, size=iv_133)[name = string(\"slice_by_size_134\")];\n tensor slice_by_size_135 = slice_by_size(x=transpose_128, begin=iv_28, size=iv_133)[name = string(\"slice_by_size_135\")];\n tensor tril_136 = const()[name = string(\"tril_136\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64121792)))];\n tensor tril_strict_137 = const()[name = string(\"tril_strict_137\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64130048)))];\n fp16 c_138 = const()[name = string(\"c_138\"), val = fp16(16.000000000000)];\n tensor mul_139 = mul(x=slice_by_size_130, y=c_138)[name = string(\"mul_139\")];\n tensor mul_140 = mul(x=slice_by_size_131, y=c_138)[name = string(\"mul_140\")];\n tensor mul_141 = mul(x=mul_140, y=slice_by_size_134)[name = string(\"mul_141\")];\n tensor mul_142 = mul(x=slice_by_size_132, y=slice_by_size_134)[name = string(\"mul_142\")];\n tensor abs_143 = abs(x=mul_142)[name = string(\"abs_143\")];\n tensor reduce_max_144 = reduce_max(x=abs_143, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_max_144\")];\n tensor iv_145 = const()[name = string(\"iv_145\"), val = tensor([2])];\n tensor reduce_max_146 = reduce_max(x=reduce_max_144, axes=iv_145, keep_dims=b_4)[name = string(\"reduce_max_146\")];\n fp16 c_147 = const()[name = string(\"c_147\"), val = fp16(0.015625000000)];\n tensor maximum_148 = maximum(x=reduce_max_146, y=c_147)[name = string(\"maximum_148\")];\n tensor real_div_149 = real_div(x=c_8, y=maximum_148)[name = string(\"real_div_149\")];\n tensor mul_150 = mul(x=real_div_149, y=c_109)[name = string(\"mul_150\")];\n tensor mul_151 = mul(x=mul_142, y=mul_150)[name = string(\"mul_151\")];\n tensor matmul_152 = matmul(transpose_x=b_39, transpose_y=b_39, x=tril_136, y=slice_by_size_135)[name = string(\"matmul_152\")];\n tensor transpose_153 = transpose(perm=iv_56, x=matmul_152)[name = string(\"transpose_153\")];\n tensor sub_154 = sub(x=matmul_152, y=transpose_153)[name = string(\"sub_154\")];\n tensor mul_155 = mul(x=sub_154, y=tril_136)[name = string(\"mul_155\")];\n tensor exp_156 = exp(x=mul_155)[name = string(\"exp_156\")];\n tensor mul_157 = mul(x=exp_156, y=tril_136)[name = string(\"mul_157\")];\n tensor matmul_158 = matmul(transpose_x=b_39, transpose_y=b_4, x=mul_141, y=mul_140)[name = string(\"matmul_158\")];\n fp16 c_159 = const()[name = string(\"c_159\"), val = fp16(0.003906250000)];\n tensor mul_160 = mul(x=matmul_158, y=c_159)[name = string(\"mul_160\")];\n tensor mul_161 = mul(x=mul_160, y=mul_157)[name = string(\"mul_161\")];\n tensor mul_162 = mul(x=mul_161, y=tril_strict_137)[name = string(\"mul_162\")];\n tensor eye_163 = const()[name = string(\"eye_163\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64138304)))];\n tensor merge0_164 = const()[name = string(\"merge0_164\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64146560)))];\n tensor mul_165 = mul(x=mul_162, y=merge0_164)[name = string(\"mul_165\")];\n tensor matmul_166 = matmul(transpose_x=b_39, transpose_y=b_39, x=eye_163, y=mul_165)[name = string(\"matmul_166\")];\n tensor matmul_167 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_166, y=eye_163)[name = string(\"matmul_167\")];\n tensor sub_168 = sub(x=eye_163, y=matmul_167)[name = string(\"sub_168\")];\n tensor merge1_169 = const()[name = string(\"merge1_169\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64154816)))];\n tensor mul_170 = mul(x=mul_162, y=merge1_169)[name = string(\"mul_170\")];\n tensor matmul_171 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_168, y=mul_170)[name = string(\"matmul_171\")];\n tensor matmul_172 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_171, y=sub_168)[name = string(\"matmul_172\")];\n tensor sub_173 = sub(x=sub_168, y=matmul_172)[name = string(\"sub_173\")];\n tensor merge2_174 = const()[name = string(\"merge2_174\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64163072)))];\n tensor mul_175 = mul(x=mul_162, y=merge2_174)[name = string(\"mul_175\")];\n tensor matmul_176 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_173, y=mul_175)[name = string(\"matmul_176\")];\n tensor matmul_177 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_176, y=sub_173)[name = string(\"matmul_177\")];\n tensor sub_178 = sub(x=sub_173, y=matmul_177)[name = string(\"sub_178\")];\n tensor merge3_179 = const()[name = string(\"merge3_179\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64171328)))];\n tensor mul_180 = mul(x=mul_162, y=merge3_179)[name = string(\"mul_180\")];\n tensor matmul_181 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_178, y=mul_180)[name = string(\"matmul_181\")];\n tensor matmul_182 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_181, y=sub_178)[name = string(\"matmul_182\")];\n tensor sub_183 = sub(x=sub_178, y=matmul_182)[name = string(\"sub_183\")];\n tensor merge4_184 = const()[name = string(\"merge4_184\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64179584)))];\n tensor mul_185 = mul(x=mul_162, y=merge4_184)[name = string(\"mul_185\")];\n tensor matmul_186 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_183, y=mul_185)[name = string(\"matmul_186\")];\n tensor matmul_187 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_186, y=sub_183)[name = string(\"matmul_187\")];\n tensor sub_188 = sub(x=sub_183, y=matmul_187)[name = string(\"sub_188\")];\n tensor merge5_189 = const()[name = string(\"merge5_189\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64187840)))];\n tensor mul_190 = mul(x=mul_162, y=merge5_189)[name = string(\"mul_190\")];\n tensor matmul_191 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_188, y=mul_190)[name = string(\"matmul_191\")];\n tensor matmul_192 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_191, y=sub_188)[name = string(\"matmul_192\")];\n tensor sub_193 = sub(x=sub_188, y=matmul_192)[name = string(\"sub_193\")];\n tensor add_194 = add(x=eye_163, y=mul_162)[name = string(\"add_194\")];\n tensor matmul_195 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_194, y=sub_193)[name = string(\"matmul_195\")];\n tensor sub_196 = sub(x=eye_163, y=matmul_195)[name = string(\"sub_196\")];\n tensor matmul_197 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_193, y=sub_196)[name = string(\"matmul_197\")];\n tensor add_198 = add(x=sub_193, y=matmul_197)[name = string(\"add_198\")];\n tensor exp_199 = exp(x=matmul_152)[name = string(\"exp_199\")];\n tensor matmul_200 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_198, y=mul_151)[name = string(\"matmul_200\")];\n tensor mul_201 = mul(x=mul_141, y=exp_199)[name = string(\"mul_201\")];\n tensor matmul_202 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_198, y=mul_201)[name = string(\"matmul_202\")];\n tensor abs_203 = abs(x=rec_in0)[name = string(\"abs_203\")];\n tensor reduce_max_204 = reduce_max(x=abs_203, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_max_204\")];\n tensor reduce_max_205 = reduce_max(x=reduce_max_204, axes=iv_145, keep_dims=b_4)[name = string(\"reduce_max_205\")];\n tensor maximum_206 = maximum(x=reduce_max_205, y=c_147)[name = string(\"maximum_206\")];\n tensor real_div_207 = real_div(x=c_8, y=maximum_206)[name = string(\"real_div_207\")];\n tensor mul_208 = mul(x=rec_in0, y=real_div_207)[name = string(\"mul_208\")];\n tensor matmul_209 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_202, y=mul_208)[name = string(\"matmul_209\")];\n tensor mul_210 = mul(x=maximum_206, y=real_div_149)[name = string(\"mul_210\")];\n tensor mul_211 = mul(x=mul_210, y=c_103)[name = string(\"mul_211\")];\n tensor mul_212 = mul(x=matmul_209, y=mul_211)[name = string(\"mul_212\")];\n tensor sub_213 = sub(x=matmul_200, y=mul_212)[name = string(\"sub_213\")];\n tensor mul_214 = mul(x=mul_139, y=exp_199)[name = string(\"mul_214\")];\n tensor matmul_215 = matmul(transpose_x=b_39, transpose_y=b_39, x=mul_214, y=mul_208)[name = string(\"matmul_215\")];\n fp16 c_216 = const()[name = string(\"c_216\"), val = fp16(0.005524271728)];\n tensor mul_217 = mul(x=maximum_206, y=c_216)[name = string(\"mul_217\")];\n tensor mul_218 = mul(x=matmul_215, y=mul_217)[name = string(\"mul_218\")];\n tensor matmul_219 = matmul(transpose_x=b_39, transpose_y=b_4, x=mul_139, y=mul_140)[name = string(\"matmul_219\")];\n tensor mul_220 = mul(x=matmul_219, y=mul_157)[name = string(\"mul_220\")];\n tensor mul_221 = mul(x=mul_220, y=c_6)[name = string(\"mul_221\")];\n tensor matmul_222 = matmul(transpose_x=b_39, transpose_y=b_39, x=mul_221, y=sub_213)[name = string(\"matmul_222\")];\n fp16 c_223 = const()[name = string(\"c_223\"), val = fp16(0.000690533966)];\n tensor mul_224 = mul(x=maximum_148, y=c_223)[name = string(\"mul_224\")];\n tensor mul_225 = mul(x=matmul_222, y=mul_224)[name = string(\"mul_225\")];\n tensor add_226 = add(x=mul_218, y=mul_225)[name = string(\"add_226\")];\n tensor iv_227 = const()[name = string(\"iv_227\"), val = tensor([0, 0, 63, 0])];\n tensor iv_228 = const()[name = string(\"iv_228\"), val = tensor([1, 48, 1, 1])];\n tensor slice_by_size_229 = slice_by_size(x=matmul_152, begin=iv_227, size=iv_228)[name = string(\"slice_by_size_229\")];\n tensor sub_230 = sub(x=slice_by_size_229, y=matmul_152)[name = string(\"sub_230\")];\n tensor exp_231 = exp(x=sub_230)[name = string(\"exp_231\")];\n tensor mul_232 = mul(x=mul_140, y=exp_231)[name = string(\"mul_232\")];\n tensor matmul_233 = matmul(transpose_x=b_4, transpose_y=b_39, x=mul_232, y=sub_213)[name = string(\"matmul_233\")];\n fp16 c_234 = const()[name = string(\"c_234\"), val = fp16(0.007812500000)];\n tensor mul_235 = mul(x=maximum_148, y=c_234)[name = string(\"mul_235\")];\n tensor mul_236 = mul(x=matmul_233, y=mul_235)[name = string(\"mul_236\")];\n tensor exp_237 = exp(x=slice_by_size_229)[name = string(\"exp_237\")];\n tensor mul_238 = mul(x=rec_in0, y=exp_237)[name = string(\"mul_238\")];\n tensor add_239 = add(x=mul_238, y=mul_236)[name = string(\"add_239\")];\n tensor iv_240 = const()[name = string(\"iv_240\"), val = tensor([0, 0, 64, 0])];\n tensor slice_by_size_241 = slice_by_size(x=reshape_77, begin=iv_240, size=iv_129)[name = string(\"slice_by_size_241\")];\n tensor slice_by_size_242 = slice_by_size(x=reshape_84, begin=iv_240, size=iv_129)[name = string(\"slice_by_size_242\")];\n tensor slice_by_size_243 = slice_by_size(x=transpose_67, begin=iv_240, size=iv_129)[name = string(\"slice_by_size_243\")];\n tensor slice_by_size_244 = slice_by_size(x=transpose_89, begin=iv_240, size=iv_133)[name = string(\"slice_by_size_244\")];\n tensor slice_by_size_245 = slice_by_size(x=transpose_128, begin=iv_240, size=iv_133)[name = string(\"slice_by_size_245\")];\n tensor tril_246 = const()[name = string(\"tril_246\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64196096)))];\n tensor tril_strict_247 = const()[name = string(\"tril_strict_247\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64204352)))];\n tensor mul_248 = mul(x=slice_by_size_241, y=c_138)[name = string(\"mul_248\")];\n tensor mul_249 = mul(x=slice_by_size_242, y=c_138)[name = string(\"mul_249\")];\n tensor mul_250 = mul(x=mul_249, y=slice_by_size_244)[name = string(\"mul_250\")];\n tensor mul_251 = mul(x=slice_by_size_243, y=slice_by_size_244)[name = string(\"mul_251\")];\n tensor abs_252 = abs(x=mul_251)[name = string(\"abs_252\")];\n tensor reduce_max_253 = reduce_max(x=abs_252, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_max_253\")];\n tensor reduce_max_254 = reduce_max(x=reduce_max_253, axes=iv_145, keep_dims=b_4)[name = string(\"reduce_max_254\")];\n tensor maximum_255 = maximum(x=reduce_max_254, y=c_147)[name = string(\"maximum_255\")];\n tensor real_div_256 = real_div(x=c_8, y=maximum_255)[name = string(\"real_div_256\")];\n tensor mul_257 = mul(x=real_div_256, y=c_109)[name = string(\"mul_257\")];\n tensor mul_258 = mul(x=mul_251, y=mul_257)[name = string(\"mul_258\")];\n tensor matmul_259 = matmul(transpose_x=b_39, transpose_y=b_39, x=tril_246, y=slice_by_size_245)[name = string(\"matmul_259\")];\n tensor transpose_260 = transpose(perm=iv_56, x=matmul_259)[name = string(\"transpose_260\")];\n tensor sub_261 = sub(x=matmul_259, y=transpose_260)[name = string(\"sub_261\")];\n tensor mul_262 = mul(x=sub_261, y=tril_246)[name = string(\"mul_262\")];\n tensor exp_263 = exp(x=mul_262)[name = string(\"exp_263\")];\n tensor mul_264 = mul(x=exp_263, y=tril_246)[name = string(\"mul_264\")];\n tensor matmul_265 = matmul(transpose_x=b_39, transpose_y=b_4, x=mul_250, y=mul_249)[name = string(\"matmul_265\")];\n tensor mul_266 = mul(x=matmul_265, y=c_159)[name = string(\"mul_266\")];\n tensor mul_267 = mul(x=mul_266, y=mul_264)[name = string(\"mul_267\")];\n tensor mul_268 = mul(x=mul_267, y=tril_strict_247)[name = string(\"mul_268\")];\n tensor eye_269 = const()[name = string(\"eye_269\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64212608)))];\n tensor merge0_270 = const()[name = string(\"merge0_270\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64220864)))];\n tensor mul_271 = mul(x=mul_268, y=merge0_270)[name = string(\"mul_271\")];\n tensor matmul_272 = matmul(transpose_x=b_39, transpose_y=b_39, x=eye_269, y=mul_271)[name = string(\"matmul_272\")];\n tensor matmul_273 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_272, y=eye_269)[name = string(\"matmul_273\")];\n tensor sub_274 = sub(x=eye_269, y=matmul_273)[name = string(\"sub_274\")];\n tensor merge1_275 = const()[name = string(\"merge1_275\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64229120)))];\n tensor mul_276 = mul(x=mul_268, y=merge1_275)[name = string(\"mul_276\")];\n tensor matmul_277 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_274, y=mul_276)[name = string(\"matmul_277\")];\n tensor matmul_278 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_277, y=sub_274)[name = string(\"matmul_278\")];\n tensor sub_279 = sub(x=sub_274, y=matmul_278)[name = string(\"sub_279\")];\n tensor merge2_280 = const()[name = string(\"merge2_280\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64237376)))];\n tensor mul_281 = mul(x=mul_268, y=merge2_280)[name = string(\"mul_281\")];\n tensor matmul_282 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_279, y=mul_281)[name = string(\"matmul_282\")];\n tensor matmul_283 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_282, y=sub_279)[name = string(\"matmul_283\")];\n tensor sub_284 = sub(x=sub_279, y=matmul_283)[name = string(\"sub_284\")];\n tensor merge3_285 = const()[name = string(\"merge3_285\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64245632)))];\n tensor mul_286 = mul(x=mul_268, y=merge3_285)[name = string(\"mul_286\")];\n tensor matmul_287 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_284, y=mul_286)[name = string(\"matmul_287\")];\n tensor matmul_288 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_287, y=sub_284)[name = string(\"matmul_288\")];\n tensor sub_289 = sub(x=sub_284, y=matmul_288)[name = string(\"sub_289\")];\n tensor merge4_290 = const()[name = string(\"merge4_290\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64253888)))];\n tensor mul_291 = mul(x=mul_268, y=merge4_290)[name = string(\"mul_291\")];\n tensor matmul_292 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_289, y=mul_291)[name = string(\"matmul_292\")];\n tensor matmul_293 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_292, y=sub_289)[name = string(\"matmul_293\")];\n tensor sub_294 = sub(x=sub_289, y=matmul_293)[name = string(\"sub_294\")];\n tensor merge5_295 = const()[name = string(\"merge5_295\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64262144)))];\n tensor mul_296 = mul(x=mul_268, y=merge5_295)[name = string(\"mul_296\")];\n tensor matmul_297 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_294, y=mul_296)[name = string(\"matmul_297\")];\n tensor matmul_298 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_297, y=sub_294)[name = string(\"matmul_298\")];\n tensor sub_299 = sub(x=sub_294, y=matmul_298)[name = string(\"sub_299\")];\n tensor add_300 = add(x=eye_269, y=mul_268)[name = string(\"add_300\")];\n tensor matmul_301 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_300, y=sub_299)[name = string(\"matmul_301\")];\n tensor sub_302 = sub(x=eye_269, y=matmul_301)[name = string(\"sub_302\")];\n tensor matmul_303 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_299, y=sub_302)[name = string(\"matmul_303\")];\n tensor add_304 = add(x=sub_299, y=matmul_303)[name = string(\"add_304\")];\n tensor exp_305 = exp(x=matmul_259)[name = string(\"exp_305\")];\n tensor matmul_306 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_304, y=mul_258)[name = string(\"matmul_306\")];\n tensor mul_307 = mul(x=mul_250, y=exp_305)[name = string(\"mul_307\")];\n tensor matmul_308 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_304, y=mul_307)[name = string(\"matmul_308\")];\n tensor abs_309 = abs(x=add_239)[name = string(\"abs_309\")];\n tensor reduce_max_310 = reduce_max(x=abs_309, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_max_310\")];\n tensor reduce_max_311 = reduce_max(x=reduce_max_310, axes=iv_145, keep_dims=b_4)[name = string(\"reduce_max_311\")];\n tensor maximum_312 = maximum(x=reduce_max_311, y=c_147)[name = string(\"maximum_312\")];\n tensor real_div_313 = real_div(x=c_8, y=maximum_312)[name = string(\"real_div_313\")];\n tensor mul_314 = mul(x=add_239, y=real_div_313)[name = string(\"mul_314\")];\n tensor matmul_315 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_308, y=mul_314)[name = string(\"matmul_315\")];\n tensor mul_316 = mul(x=maximum_312, y=real_div_256)[name = string(\"mul_316\")];\n tensor mul_317 = mul(x=mul_316, y=c_103)[name = string(\"mul_317\")];\n tensor mul_318 = mul(x=matmul_315, y=mul_317)[name = string(\"mul_318\")];\n tensor sub_319 = sub(x=matmul_306, y=mul_318)[name = string(\"sub_319\")];\n tensor mul_320 = mul(x=mul_248, y=exp_305)[name = string(\"mul_320\")];\n tensor matmul_321 = matmul(transpose_x=b_39, transpose_y=b_39, x=mul_320, y=mul_314)[name = string(\"matmul_321\")];\n tensor mul_322 = mul(x=maximum_312, y=c_216)[name = string(\"mul_322\")];\n tensor mul_323 = mul(x=matmul_321, y=mul_322)[name = string(\"mul_323\")];\n tensor matmul_324 = matmul(transpose_x=b_39, transpose_y=b_4, x=mul_248, y=mul_249)[name = string(\"matmul_324\")];\n tensor mul_325 = mul(x=matmul_324, y=mul_264)[name = string(\"mul_325\")];\n tensor mul_326 = mul(x=mul_325, y=c_6)[name = string(\"mul_326\")];\n tensor matmul_327 = matmul(transpose_x=b_39, transpose_y=b_39, x=mul_326, y=sub_319)[name = string(\"matmul_327\")];\n tensor mul_328 = mul(x=maximum_255, y=c_223)[name = string(\"mul_328\")];\n tensor mul_329 = mul(x=matmul_327, y=mul_328)[name = string(\"mul_329\")];\n tensor add_330 = add(x=mul_323, y=mul_329)[name = string(\"add_330\")];\n tensor slice_by_size_331 = slice_by_size(x=matmul_259, begin=iv_227, size=iv_228)[name = string(\"slice_by_size_331\")];\n tensor sub_332 = sub(x=slice_by_size_331, y=matmul_259)[name = string(\"sub_332\")];\n tensor exp_333 = exp(x=sub_332)[name = string(\"exp_333\")];\n tensor mul_334 = mul(x=mul_249, y=exp_333)[name = string(\"mul_334\")];\n tensor matmul_335 = matmul(transpose_x=b_4, transpose_y=b_39, x=mul_334, y=sub_319)[name = string(\"matmul_335\")];\n tensor mul_336 = mul(x=maximum_255, y=c_234)[name = string(\"mul_336\")];\n tensor mul_337 = mul(x=matmul_335, y=mul_336)[name = string(\"mul_337\")];\n tensor exp_338 = exp(x=slice_by_size_331)[name = string(\"exp_338\")];\n tensor mul_339 = mul(x=add_239, y=exp_338)[name = string(\"mul_339\")];\n tensor add_340 = add(x=mul_339, y=mul_337)[name = string(\"add_340\")];\n tensor concat_341 = concat(axis=i_75, interleave=b_39, values=(add_226, add_330))[name = string(\"concat_341\")];\n tensor gate_norm_w_342 = const()[name = string(\"gate_norm_w_342\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64270400)))];\n tensor abs_343 = abs(x=concat_341)[name = string(\"abs_343\")];\n tensor reduce_max_344 = reduce_max(x=abs_343, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_max_344\")];\n tensor maximum_345 = maximum(x=reduce_max_344, y=c_6)[name = string(\"maximum_345\")];\n tensor real_div_346 = real_div(x=c_8, y=maximum_345)[name = string(\"real_div_346\")];\n tensor mul_347 = mul(x=concat_341, y=real_div_346)[name = string(\"mul_347\")];\n tensor pow_348 = pow(x=mul_347, y=c_11)[name = string(\"pow_348\")];\n tensor reduce_sum_349 = reduce_sum(x=pow_348, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_sum_349\")];\n tensor mul_350 = mul(x=reduce_sum_349, y=c_234)[name = string(\"mul_350\")];\n tensor pow_351 = pow(x=real_div_346, y=c_11)[name = string(\"pow_351\")];\n tensor mul_352 = mul(x=pow_351, y=c_17)[name = string(\"mul_352\")];\n tensor add_353 = add(x=mul_350, y=mul_352)[name = string(\"add_353\")];\n tensor rsqrt_354 = rsqrt(x=add_353, epsilon=c_20)[name = string(\"rsqrt_354\")];\n tensor mul_355 = mul(x=mul_347, y=rsqrt_354)[name = string(\"mul_355\")];\n tensor mul_356 = mul(x=mul_355, y=gate_norm_w_342)[name = string(\"mul_356\")];\n tensor reshape_357 = reshape(shape=iv_65, x=conv_33)[name = string(\"reshape_357\")];\n tensor transpose_358 = transpose(perm=iv_56, x=reshape_357)[name = string(\"transpose_358\")];\n tensor mul_359 = mul(x=transpose_358, y=c_47)[name = string(\"mul_359\")];\n tensor exp_360 = exp(x=mul_359)[name = string(\"exp_360\")];\n tensor add_361 = add(x=exp_360, y=c_8)[name = string(\"add_361\")];\n tensor real_div_362 = real_div(x=transpose_358, y=add_361)[name = string(\"real_div_362\")];\n tensor mul_363 = mul(x=mul_356, y=real_div_362)[name = string(\"mul_363\")];\n tensor transpose_364 = transpose(perm=iv_56, x=mul_363)[name = string(\"transpose_364\")];\n tensor reshape_365 = reshape(shape=iv_63, x=transpose_364)[name = string(\"reshape_365\")];\n tensor w_out_lut_366 = const()[name = string(\"w_out_lut_366\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(87863744)))];\n tensor w_out_367 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64270720))), lut = w_out_lut_366)[name = string(\"w_out_367\")];\n tensor conv_368 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_out_367, x=reshape_365)[name = string(\"conv_368\")];\n tensor add_369 = add(x=hid_in, y=conv_368)[name = string(\"add_369\")];\n tensor norm_w_370 = const()[name = string(\"norm_w_370\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(87904768)))];\n tensor abs_371 = abs(x=add_369)[name = string(\"abs_371\")];\n tensor reduce_max_372 = reduce_max(x=abs_371, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_372\")];\n tensor maximum_373 = maximum(x=reduce_max_372, y=c_6)[name = string(\"maximum_373\")];\n tensor real_div_374 = real_div(x=c_8, y=maximum_373)[name = string(\"real_div_374\")];\n tensor mul_375 = mul(x=add_369, y=real_div_374)[name = string(\"mul_375\")];\n tensor pow_376 = pow(x=mul_375, y=c_11)[name = string(\"pow_376\")];\n tensor reduce_sum_377 = reduce_sum(x=pow_376, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_sum_377\")];\n tensor mul_378 = mul(x=reduce_sum_377, y=c_14)[name = string(\"mul_378\")];\n tensor pow_379 = pow(x=real_div_374, y=c_11)[name = string(\"pow_379\")];\n tensor mul_380 = mul(x=pow_379, y=c_17)[name = string(\"mul_380\")];\n tensor add_381 = add(x=mul_378, y=mul_380)[name = string(\"add_381\")];\n tensor rsqrt_382 = rsqrt(x=add_381, epsilon=c_20)[name = string(\"rsqrt_382\")];\n tensor mul_383 = mul(x=mul_375, y=rsqrt_382)[name = string(\"mul_383\")];\n tensor mul_384 = mul(x=mul_383, y=norm_w_370)[name = string(\"mul_384\")];\n tensor w_gate_up_lut_385 = const()[name = string(\"w_gate_up_lut_385\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(221608576)))];\n tensor w_gate_up_386 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(87915072))), lut = w_gate_up_lut_385)[name = string(\"w_gate_up_386\")];\n tensor conv_387 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_gate_up_386, x=mul_384)[name = string(\"conv_387\")];\n tensor iv_388 = const()[name = string(\"iv_388\"), val = tensor([1, 17408, 1, 128])];\n tensor slice_by_size_389 = slice_by_size(x=conv_387, begin=iv_28, size=iv_388)[name = string(\"slice_by_size_389\")];\n tensor iv_390 = const()[name = string(\"iv_390\"), val = tensor([0, 17408, 0, 0])];\n tensor slice_by_size_391 = slice_by_size(x=conv_387, begin=iv_390, size=iv_388)[name = string(\"slice_by_size_391\")];\n tensor mul_392 = mul(x=slice_by_size_389, y=c_47)[name = string(\"mul_392\")];\n tensor exp_393 = exp(x=mul_392)[name = string(\"exp_393\")];\n tensor add_394 = add(x=exp_393, y=c_8)[name = string(\"add_394\")];\n tensor real_div_395 = real_div(x=slice_by_size_389, y=add_394)[name = string(\"real_div_395\")];\n tensor mul_396 = mul(x=real_div_395, y=slice_by_size_391)[name = string(\"mul_396\")];\n tensor abs_397 = abs(x=mul_396)[name = string(\"abs_397\")];\n tensor reduce_max_398 = reduce_max(x=abs_397, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_398\")];\n fp16 c_399 = const()[name = string(\"c_399\"), val = fp16(4096.000000000000)];\n fp16 c_400 = const()[name = string(\"c_400\"), val = fp16(256.000000000000)];\n tensor maximum_401 = maximum(x=reduce_max_398, y=c_400)[name = string(\"maximum_401\")];\n tensor real_div_402 = real_div(x=c_399, y=maximum_401)[name = string(\"real_div_402\")];\n tensor mul_403 = mul(x=mul_396, y=real_div_402)[name = string(\"mul_403\")];\n tensor iv_404 = const()[name = string(\"iv_404\"), val = tensor([1, 4352, 1, 128])];\n tensor slice_by_size_405 = slice_by_size(x=mul_403, begin=iv_28, size=iv_404)[name = string(\"slice_by_size_405\")];\n tensor w_down0_lut_406 = const()[name = string(\"w_down0_lut_406\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(238598912)))];\n tensor w_down0_407 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(221887168))), lut = w_down0_lut_406)[name = string(\"w_down0_407\")];\n tensor conv_408 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down0_407, x=slice_by_size_405)[name = string(\"conv_408\")];\n tensor iv_409 = const()[name = string(\"iv_409\"), val = tensor([0, 4352, 0, 0])];\n tensor slice_by_size_410 = slice_by_size(x=mul_403, begin=iv_409, size=iv_404)[name = string(\"slice_by_size_410\")];\n tensor w_down1_lut_411 = const()[name = string(\"w_down1_lut_411\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(255351680)))];\n tensor w_down1_412 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(238639936))), lut = w_down1_lut_411)[name = string(\"w_down1_412\")];\n tensor conv_413 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down1_412, x=slice_by_size_410)[name = string(\"conv_413\")];\n tensor iv_414 = const()[name = string(\"iv_414\"), val = tensor([0, 8704, 0, 0])];\n tensor slice_by_size_415 = slice_by_size(x=mul_403, begin=iv_414, size=iv_404)[name = string(\"slice_by_size_415\")];\n tensor w_down2_lut_416 = const()[name = string(\"w_down2_lut_416\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(272104448)))];\n tensor w_down2_417 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(255392704))), lut = w_down2_lut_416)[name = string(\"w_down2_417\")];\n tensor conv_418 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down2_417, x=slice_by_size_415)[name = string(\"conv_418\")];\n tensor iv_419 = const()[name = string(\"iv_419\"), val = tensor([0, 13056, 0, 0])];\n tensor slice_by_size_420 = slice_by_size(x=mul_403, begin=iv_419, size=iv_404)[name = string(\"slice_by_size_420\")];\n tensor w_down3_lut_421 = const()[name = string(\"w_down3_lut_421\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(288857216)))];\n tensor w_down3_422 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(272145472))), lut = w_down3_lut_421)[name = string(\"w_down3_422\")];\n tensor conv_423 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down3_422, x=slice_by_size_420)[name = string(\"conv_423\")];\n tensor add_424 = add(x=conv_408, y=conv_413)[name = string(\"add_424\")];\n tensor add_425 = add(x=add_424, y=conv_418)[name = string(\"add_425\")];\n tensor add_426 = add(x=add_425, y=conv_423)[name = string(\"add_426\")];\n tensor real_div_427 = real_div(x=c_8, y=real_div_402)[name = string(\"real_div_427\")];\n tensor mul_428 = mul(x=add_426, y=real_div_427)[name = string(\"mul_428\")];\n tensor add_429 = add(x=add_369, y=mul_428)[name = string(\"add_429\")];\n tensor norm_w_430 = const()[name = string(\"norm_w_430\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(288898240)))];\n tensor abs_431 = abs(x=add_429)[name = string(\"abs_431\")];\n tensor reduce_max_432 = reduce_max(x=abs_431, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_432\")];\n tensor maximum_433 = maximum(x=reduce_max_432, y=c_6)[name = string(\"maximum_433\")];\n tensor real_div_434 = real_div(x=c_8, y=maximum_433)[name = string(\"real_div_434\")];\n tensor mul_435 = mul(x=add_429, y=real_div_434)[name = string(\"mul_435\")];\n tensor pow_436 = pow(x=mul_435, y=c_11)[name = string(\"pow_436\")];\n tensor reduce_sum_437 = reduce_sum(x=pow_436, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_sum_437\")];\n tensor mul_438 = mul(x=reduce_sum_437, y=c_14)[name = string(\"mul_438\")];\n tensor pow_439 = pow(x=real_div_434, y=c_11)[name = string(\"pow_439\")];\n tensor mul_440 = mul(x=pow_439, y=c_17)[name = string(\"mul_440\")];\n tensor add_441 = add(x=mul_438, y=mul_440)[name = string(\"add_441\")];\n tensor rsqrt_442 = rsqrt(x=add_441, epsilon=c_20)[name = string(\"rsqrt_442\")];\n tensor mul_443 = mul(x=mul_435, y=rsqrt_442)[name = string(\"mul_443\")];\n tensor mul_444 = mul(x=mul_443, y=norm_w_430)[name = string(\"mul_444\")];\n tensor w_qkv_lut_445 = const()[name = string(\"w_qkv_lut_445\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(328230208)))];\n tensor w_qkv_446 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(288908544))), lut = w_qkv_lut_445)[name = string(\"w_qkv_446\")];\n tensor conv_447 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_qkv_446, x=mul_444)[name = string(\"conv_447\")];\n tensor w_z_lut_448 = const()[name = string(\"w_z_lut_448\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(351905216)))];\n tensor w_z_449 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(328312192))), lut = w_z_lut_448)[name = string(\"w_z_449\")];\n tensor conv_450 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_z_449, x=mul_444)[name = string(\"conv_450\")];\n tensor w_b_451 = const()[name = string(\"w_b_451\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(351954432)))];\n tensor conv_452 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_b_451, x=mul_444)[name = string(\"conv_452\")];\n tensor w_a_453 = const()[name = string(\"w_a_453\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(352446016)))];\n tensor conv_454 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_a_453, x=mul_444)[name = string(\"conv_454\")];\n tensor concat_455 = concat(axis=i_38, interleave=b_39, values=(conv_in1, conv_447))[name = string(\"concat_455\")];\n tensor slice_by_size_456 = slice_by_size(x=concat_455, begin=iv_41, size=iv_42)[name = string(\"slice_by_size_456\")];\n tensor w_conv_457 = const()[name = string(\"w_conv_457\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(352937600)))];\n tensor conv_458 = conv(dilations=iv_26, groups=i_45, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_conv_457, x=concat_455)[name = string(\"conv_458\")];\n tensor mul_459 = mul(x=conv_458, y=c_47)[name = string(\"mul_459\")];\n tensor exp_460 = exp(x=mul_459)[name = string(\"exp_460\")];\n tensor add_461 = add(x=exp_460, y=c_8)[name = string(\"add_461\")];\n tensor real_div_462 = real_div(x=conv_458, y=add_461)[name = string(\"real_div_462\")];\n tensor slice_by_size_463 = slice_by_size(x=real_div_462, begin=iv_28, size=iv_52)[name = string(\"slice_by_size_463\")];\n tensor reshape_464 = reshape(shape=iv_54, x=slice_by_size_463)[name = string(\"reshape_464\")];\n tensor transpose_465 = transpose(perm=iv_56, x=reshape_464)[name = string(\"transpose_465\")];\n tensor slice_by_size_466 = slice_by_size(x=real_div_462, begin=iv_58, size=iv_52)[name = string(\"slice_by_size_466\")];\n tensor reshape_467 = reshape(shape=iv_54, x=slice_by_size_466)[name = string(\"reshape_467\")];\n tensor transpose_468 = transpose(perm=iv_56, x=reshape_467)[name = string(\"transpose_468\")];\n tensor slice_by_size_469 = slice_by_size(x=real_div_462, begin=iv_62, size=iv_63)[name = string(\"slice_by_size_469\")];\n tensor reshape_470 = reshape(shape=iv_65, x=slice_by_size_469)[name = string(\"reshape_470\")];\n tensor transpose_471 = transpose(perm=iv_56, x=reshape_470)[name = string(\"transpose_471\")];\n tensor pow_472 = pow(x=transpose_465, y=c_11)[name = string(\"pow_472\")];\n tensor reduce_sum_473 = reduce_sum(x=pow_472, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_sum_473\")];\n tensor rsqrt_474 = rsqrt(x=reduce_sum_473, epsilon=c_17)[name = string(\"rsqrt_474\")];\n tensor mul_475 = mul(x=transpose_465, y=rsqrt_474)[name = string(\"mul_475\")];\n tensor reshape_476 = reshape(shape=iv_73, x=mul_475)[name = string(\"reshape_476\")];\n tensor concat_477 = concat(axis=i_75, interleave=b_39, values=(reshape_476, reshape_476, reshape_476))[name = string(\"concat_477\")];\n tensor reshape_478 = reshape(shape=iv_65, x=concat_477)[name = string(\"reshape_478\")];\n tensor pow_479 = pow(x=transpose_468, y=c_11)[name = string(\"pow_479\")];\n tensor reduce_sum_480 = reduce_sum(x=pow_479, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_sum_480\")];\n tensor rsqrt_481 = rsqrt(x=reduce_sum_480, epsilon=c_17)[name = string(\"rsqrt_481\")];\n tensor mul_482 = mul(x=transpose_468, y=rsqrt_481)[name = string(\"mul_482\")];\n tensor reshape_483 = reshape(shape=iv_73, x=mul_482)[name = string(\"reshape_483\")];\n tensor concat_484 = concat(axis=i_75, interleave=b_39, values=(reshape_483, reshape_483, reshape_483))[name = string(\"concat_484\")];\n tensor reshape_485 = reshape(shape=iv_65, x=concat_484)[name = string(\"reshape_485\")];\n tensor mul_486 = mul(x=conv_452, y=c_47)[name = string(\"mul_486\")];\n tensor exp_487 = exp(x=mul_486)[name = string(\"exp_487\")];\n tensor add_488 = add(x=exp_487, y=c_8)[name = string(\"add_488\")];\n tensor real_div_489 = real_div(x=c_8, y=add_488)[name = string(\"real_div_489\")];\n tensor transpose_490 = transpose(perm=iv_56, x=real_div_489)[name = string(\"transpose_490\")];\n tensor dt_bias_491 = const()[name = string(\"dt_bias_491\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353019584)))];\n tensor neg_a_492 = const()[name = string(\"neg_a_492\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353019776)))];\n tensor add_493 = add(x=conv_454, y=dt_bias_491)[name = string(\"add_493\")];\n tensor minimum_494 = minimum(x=add_493, y=c_93)[name = string(\"minimum_494\")];\n tensor exp_495 = exp(x=minimum_494)[name = string(\"exp_495\")];\n tensor mul_496 = mul(x=exp_495, y=c_96)[name = string(\"mul_496\")];\n tensor mul_497 = mul(x=mul_496, y=c_47)[name = string(\"mul_497\")];\n tensor add_498 = add(x=mul_497, y=c_99)[name = string(\"add_498\")];\n tensor mul_499 = mul(x=exp_495, y=add_498)[name = string(\"mul_499\")];\n tensor mul_500 = mul(x=mul_499, y=c_47)[name = string(\"mul_500\")];\n tensor add_501 = add(x=mul_500, y=c_103)[name = string(\"add_501\")];\n tensor mul_502 = mul(x=exp_495, y=add_501)[name = string(\"mul_502\")];\n tensor mul_503 = mul(x=mul_502, y=c_47)[name = string(\"mul_503\")];\n tensor add_504 = add(x=mul_503, y=c_8)[name = string(\"add_504\")];\n tensor mul_505 = mul(x=exp_495, y=add_504)[name = string(\"mul_505\")];\n tensor minimum_506 = minimum(x=add_493, y=c_109)[name = string(\"minimum_506\")];\n tensor maximum_507 = maximum(x=minimum_506, y=c_93)[name = string(\"maximum_507\")];\n tensor softplus_508 = softplus(x=maximum_507)[name = string(\"softplus_508\")];\n tensor sub_509 = sub(x=add_493, y=c_109)[name = string(\"sub_509\")];\n tensor maximum_510 = maximum(x=sub_509, y=c_20)[name = string(\"maximum_510\")];\n tensor add_511 = add(x=softplus_508, y=maximum_510)[name = string(\"add_511\")];\n tensor mul_512 = mul(x=add_493, y=c_47)[name = string(\"mul_512\")];\n tensor add_513 = add(x=mul_512, y=c_93)[name = string(\"add_513\")];\n tensor mul_514 = mul(x=add_513, y=c_118)[name = string(\"mul_514\")];\n tensor maximum_515 = maximum(x=mul_514, y=c_20)[name = string(\"maximum_515\")];\n tensor minimum_516 = minimum(x=maximum_515, y=c_8)[name = string(\"minimum_516\")];\n tensor mul_517 = mul(x=minimum_516, y=mul_505)[name = string(\"mul_517\")];\n tensor mul_518 = mul(x=minimum_516, y=c_47)[name = string(\"mul_518\")];\n tensor add_519 = add(x=mul_518, y=c_8)[name = string(\"add_519\")];\n tensor mul_520 = mul(x=add_519, y=add_511)[name = string(\"mul_520\")];\n tensor add_521 = add(x=mul_517, y=mul_520)[name = string(\"add_521\")];\n tensor mul_522 = mul(x=add_521, y=neg_a_492)[name = string(\"mul_522\")];\n tensor transpose_523 = transpose(perm=iv_56, x=mul_522)[name = string(\"transpose_523\")];\n tensor slice_by_size_524 = slice_by_size(x=reshape_478, begin=iv_28, size=iv_129)[name = string(\"slice_by_size_524\")];\n tensor slice_by_size_525 = slice_by_size(x=reshape_485, begin=iv_28, size=iv_129)[name = string(\"slice_by_size_525\")];\n tensor slice_by_size_526 = slice_by_size(x=transpose_471, begin=iv_28, size=iv_129)[name = string(\"slice_by_size_526\")];\n tensor slice_by_size_527 = slice_by_size(x=transpose_490, begin=iv_28, size=iv_133)[name = string(\"slice_by_size_527\")];\n tensor slice_by_size_528 = slice_by_size(x=transpose_523, begin=iv_28, size=iv_133)[name = string(\"slice_by_size_528\")];\n tensor tril_529 = const()[name = string(\"tril_529\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353019968)))];\n tensor tril_strict_530 = const()[name = string(\"tril_strict_530\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353028224)))];\n tensor mul_531 = mul(x=slice_by_size_524, y=c_138)[name = string(\"mul_531\")];\n tensor mul_532 = mul(x=slice_by_size_525, y=c_138)[name = string(\"mul_532\")];\n tensor mul_533 = mul(x=mul_532, y=slice_by_size_527)[name = string(\"mul_533\")];\n tensor mul_534 = mul(x=slice_by_size_526, y=slice_by_size_527)[name = string(\"mul_534\")];\n tensor abs_535 = abs(x=mul_534)[name = string(\"abs_535\")];\n tensor reduce_max_536 = reduce_max(x=abs_535, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_max_536\")];\n tensor reduce_max_537 = reduce_max(x=reduce_max_536, axes=iv_145, keep_dims=b_4)[name = string(\"reduce_max_537\")];\n tensor maximum_538 = maximum(x=reduce_max_537, y=c_147)[name = string(\"maximum_538\")];\n tensor real_div_539 = real_div(x=c_8, y=maximum_538)[name = string(\"real_div_539\")];\n tensor mul_540 = mul(x=real_div_539, y=c_109)[name = string(\"mul_540\")];\n tensor mul_541 = mul(x=mul_534, y=mul_540)[name = string(\"mul_541\")];\n tensor matmul_542 = matmul(transpose_x=b_39, transpose_y=b_39, x=tril_529, y=slice_by_size_528)[name = string(\"matmul_542\")];\n tensor transpose_543 = transpose(perm=iv_56, x=matmul_542)[name = string(\"transpose_543\")];\n tensor sub_544 = sub(x=matmul_542, y=transpose_543)[name = string(\"sub_544\")];\n tensor mul_545 = mul(x=sub_544, y=tril_529)[name = string(\"mul_545\")];\n tensor exp_546 = exp(x=mul_545)[name = string(\"exp_546\")];\n tensor mul_547 = mul(x=exp_546, y=tril_529)[name = string(\"mul_547\")];\n tensor matmul_548 = matmul(transpose_x=b_39, transpose_y=b_4, x=mul_533, y=mul_532)[name = string(\"matmul_548\")];\n tensor mul_549 = mul(x=matmul_548, y=c_159)[name = string(\"mul_549\")];\n tensor mul_550 = mul(x=mul_549, y=mul_547)[name = string(\"mul_550\")];\n tensor mul_551 = mul(x=mul_550, y=tril_strict_530)[name = string(\"mul_551\")];\n tensor eye_552 = const()[name = string(\"eye_552\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353036480)))];\n tensor merge0_553 = const()[name = string(\"merge0_553\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353044736)))];\n tensor mul_554 = mul(x=mul_551, y=merge0_553)[name = string(\"mul_554\")];\n tensor matmul_555 = matmul(transpose_x=b_39, transpose_y=b_39, x=eye_552, y=mul_554)[name = string(\"matmul_555\")];\n tensor matmul_556 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_555, y=eye_552)[name = string(\"matmul_556\")];\n tensor sub_557 = sub(x=eye_552, y=matmul_556)[name = string(\"sub_557\")];\n tensor merge1_558 = const()[name = string(\"merge1_558\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353052992)))];\n tensor mul_559 = mul(x=mul_551, y=merge1_558)[name = string(\"mul_559\")];\n tensor matmul_560 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_557, y=mul_559)[name = string(\"matmul_560\")];\n tensor matmul_561 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_560, y=sub_557)[name = string(\"matmul_561\")];\n tensor sub_562 = sub(x=sub_557, y=matmul_561)[name = string(\"sub_562\")];\n tensor merge2_563 = const()[name = string(\"merge2_563\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353061248)))];\n tensor mul_564 = mul(x=mul_551, y=merge2_563)[name = string(\"mul_564\")];\n tensor matmul_565 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_562, y=mul_564)[name = string(\"matmul_565\")];\n tensor matmul_566 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_565, y=sub_562)[name = string(\"matmul_566\")];\n tensor sub_567 = sub(x=sub_562, y=matmul_566)[name = string(\"sub_567\")];\n tensor merge3_568 = const()[name = string(\"merge3_568\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353069504)))];\n tensor mul_569 = mul(x=mul_551, y=merge3_568)[name = string(\"mul_569\")];\n tensor matmul_570 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_567, y=mul_569)[name = string(\"matmul_570\")];\n tensor matmul_571 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_570, y=sub_567)[name = string(\"matmul_571\")];\n tensor sub_572 = sub(x=sub_567, y=matmul_571)[name = string(\"sub_572\")];\n tensor merge4_573 = const()[name = string(\"merge4_573\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353077760)))];\n tensor mul_574 = mul(x=mul_551, y=merge4_573)[name = string(\"mul_574\")];\n tensor matmul_575 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_572, y=mul_574)[name = string(\"matmul_575\")];\n tensor matmul_576 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_575, y=sub_572)[name = string(\"matmul_576\")];\n tensor sub_577 = sub(x=sub_572, y=matmul_576)[name = string(\"sub_577\")];\n tensor merge5_578 = const()[name = string(\"merge5_578\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353086016)))];\n tensor mul_579 = mul(x=mul_551, y=merge5_578)[name = string(\"mul_579\")];\n tensor matmul_580 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_577, y=mul_579)[name = string(\"matmul_580\")];\n tensor matmul_581 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_580, y=sub_577)[name = string(\"matmul_581\")];\n tensor sub_582 = sub(x=sub_577, y=matmul_581)[name = string(\"sub_582\")];\n tensor add_583 = add(x=eye_552, y=mul_551)[name = string(\"add_583\")];\n tensor matmul_584 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_583, y=sub_582)[name = string(\"matmul_584\")];\n tensor sub_585 = sub(x=eye_552, y=matmul_584)[name = string(\"sub_585\")];\n tensor matmul_586 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_582, y=sub_585)[name = string(\"matmul_586\")];\n tensor add_587 = add(x=sub_582, y=matmul_586)[name = string(\"add_587\")];\n tensor exp_588 = exp(x=matmul_542)[name = string(\"exp_588\")];\n tensor matmul_589 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_587, y=mul_541)[name = string(\"matmul_589\")];\n tensor mul_590 = mul(x=mul_533, y=exp_588)[name = string(\"mul_590\")];\n tensor matmul_591 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_587, y=mul_590)[name = string(\"matmul_591\")];\n tensor abs_592 = abs(x=rec_in1)[name = string(\"abs_592\")];\n tensor reduce_max_593 = reduce_max(x=abs_592, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_max_593\")];\n tensor reduce_max_594 = reduce_max(x=reduce_max_593, axes=iv_145, keep_dims=b_4)[name = string(\"reduce_max_594\")];\n tensor maximum_595 = maximum(x=reduce_max_594, y=c_147)[name = string(\"maximum_595\")];\n tensor real_div_596 = real_div(x=c_8, y=maximum_595)[name = string(\"real_div_596\")];\n tensor mul_597 = mul(x=rec_in1, y=real_div_596)[name = string(\"mul_597\")];\n tensor matmul_598 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_591, y=mul_597)[name = string(\"matmul_598\")];\n tensor mul_599 = mul(x=maximum_595, y=real_div_539)[name = string(\"mul_599\")];\n tensor mul_600 = mul(x=mul_599, y=c_103)[name = string(\"mul_600\")];\n tensor mul_601 = mul(x=matmul_598, y=mul_600)[name = string(\"mul_601\")];\n tensor sub_602 = sub(x=matmul_589, y=mul_601)[name = string(\"sub_602\")];\n tensor mul_603 = mul(x=mul_531, y=exp_588)[name = string(\"mul_603\")];\n tensor matmul_604 = matmul(transpose_x=b_39, transpose_y=b_39, x=mul_603, y=mul_597)[name = string(\"matmul_604\")];\n tensor mul_605 = mul(x=maximum_595, y=c_216)[name = string(\"mul_605\")];\n tensor mul_606 = mul(x=matmul_604, y=mul_605)[name = string(\"mul_606\")];\n tensor matmul_607 = matmul(transpose_x=b_39, transpose_y=b_4, x=mul_531, y=mul_532)[name = string(\"matmul_607\")];\n tensor mul_608 = mul(x=matmul_607, y=mul_547)[name = string(\"mul_608\")];\n tensor mul_609 = mul(x=mul_608, y=c_6)[name = string(\"mul_609\")];\n tensor matmul_610 = matmul(transpose_x=b_39, transpose_y=b_39, x=mul_609, y=sub_602)[name = string(\"matmul_610\")];\n tensor mul_611 = mul(x=maximum_538, y=c_223)[name = string(\"mul_611\")];\n tensor mul_612 = mul(x=matmul_610, y=mul_611)[name = string(\"mul_612\")];\n tensor add_613 = add(x=mul_606, y=mul_612)[name = string(\"add_613\")];\n tensor slice_by_size_614 = slice_by_size(x=matmul_542, begin=iv_227, size=iv_228)[name = string(\"slice_by_size_614\")];\n tensor sub_615 = sub(x=slice_by_size_614, y=matmul_542)[name = string(\"sub_615\")];\n tensor exp_616 = exp(x=sub_615)[name = string(\"exp_616\")];\n tensor mul_617 = mul(x=mul_532, y=exp_616)[name = string(\"mul_617\")];\n tensor matmul_618 = matmul(transpose_x=b_4, transpose_y=b_39, x=mul_617, y=sub_602)[name = string(\"matmul_618\")];\n tensor mul_619 = mul(x=maximum_538, y=c_234)[name = string(\"mul_619\")];\n tensor mul_620 = mul(x=matmul_618, y=mul_619)[name = string(\"mul_620\")];\n tensor exp_621 = exp(x=slice_by_size_614)[name = string(\"exp_621\")];\n tensor mul_622 = mul(x=rec_in1, y=exp_621)[name = string(\"mul_622\")];\n tensor add_623 = add(x=mul_622, y=mul_620)[name = string(\"add_623\")];\n tensor slice_by_size_624 = slice_by_size(x=reshape_478, begin=iv_240, size=iv_129)[name = string(\"slice_by_size_624\")];\n tensor slice_by_size_625 = slice_by_size(x=reshape_485, begin=iv_240, size=iv_129)[name = string(\"slice_by_size_625\")];\n tensor slice_by_size_626 = slice_by_size(x=transpose_471, begin=iv_240, size=iv_129)[name = string(\"slice_by_size_626\")];\n tensor slice_by_size_627 = slice_by_size(x=transpose_490, begin=iv_240, size=iv_133)[name = string(\"slice_by_size_627\")];\n tensor slice_by_size_628 = slice_by_size(x=transpose_523, begin=iv_240, size=iv_133)[name = string(\"slice_by_size_628\")];\n tensor tril_629 = const()[name = string(\"tril_629\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353094272)))];\n tensor tril_strict_630 = const()[name = string(\"tril_strict_630\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353102528)))];\n tensor mul_631 = mul(x=slice_by_size_624, y=c_138)[name = string(\"mul_631\")];\n tensor mul_632 = mul(x=slice_by_size_625, y=c_138)[name = string(\"mul_632\")];\n tensor mul_633 = mul(x=mul_632, y=slice_by_size_627)[name = string(\"mul_633\")];\n tensor mul_634 = mul(x=slice_by_size_626, y=slice_by_size_627)[name = string(\"mul_634\")];\n tensor abs_635 = abs(x=mul_634)[name = string(\"abs_635\")];\n tensor reduce_max_636 = reduce_max(x=abs_635, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_max_636\")];\n tensor reduce_max_637 = reduce_max(x=reduce_max_636, axes=iv_145, keep_dims=b_4)[name = string(\"reduce_max_637\")];\n tensor maximum_638 = maximum(x=reduce_max_637, y=c_147)[name = string(\"maximum_638\")];\n tensor real_div_639 = real_div(x=c_8, y=maximum_638)[name = string(\"real_div_639\")];\n tensor mul_640 = mul(x=real_div_639, y=c_109)[name = string(\"mul_640\")];\n tensor mul_641 = mul(x=mul_634, y=mul_640)[name = string(\"mul_641\")];\n tensor matmul_642 = matmul(transpose_x=b_39, transpose_y=b_39, x=tril_629, y=slice_by_size_628)[name = string(\"matmul_642\")];\n tensor transpose_643 = transpose(perm=iv_56, x=matmul_642)[name = string(\"transpose_643\")];\n tensor sub_644 = sub(x=matmul_642, y=transpose_643)[name = string(\"sub_644\")];\n tensor mul_645 = mul(x=sub_644, y=tril_629)[name = string(\"mul_645\")];\n tensor exp_646 = exp(x=mul_645)[name = string(\"exp_646\")];\n tensor mul_647 = mul(x=exp_646, y=tril_629)[name = string(\"mul_647\")];\n tensor matmul_648 = matmul(transpose_x=b_39, transpose_y=b_4, x=mul_633, y=mul_632)[name = string(\"matmul_648\")];\n tensor mul_649 = mul(x=matmul_648, y=c_159)[name = string(\"mul_649\")];\n tensor mul_650 = mul(x=mul_649, y=mul_647)[name = string(\"mul_650\")];\n tensor mul_651 = mul(x=mul_650, y=tril_strict_630)[name = string(\"mul_651\")];\n tensor eye_652 = const()[name = string(\"eye_652\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353110784)))];\n tensor merge0_653 = const()[name = string(\"merge0_653\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353119040)))];\n tensor mul_654 = mul(x=mul_651, y=merge0_653)[name = string(\"mul_654\")];\n tensor matmul_655 = matmul(transpose_x=b_39, transpose_y=b_39, x=eye_652, y=mul_654)[name = string(\"matmul_655\")];\n tensor matmul_656 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_655, y=eye_652)[name = string(\"matmul_656\")];\n tensor sub_657 = sub(x=eye_652, y=matmul_656)[name = string(\"sub_657\")];\n tensor merge1_658 = const()[name = string(\"merge1_658\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353127296)))];\n tensor mul_659 = mul(x=mul_651, y=merge1_658)[name = string(\"mul_659\")];\n tensor matmul_660 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_657, y=mul_659)[name = string(\"matmul_660\")];\n tensor matmul_661 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_660, y=sub_657)[name = string(\"matmul_661\")];\n tensor sub_662 = sub(x=sub_657, y=matmul_661)[name = string(\"sub_662\")];\n tensor merge2_663 = const()[name = string(\"merge2_663\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353135552)))];\n tensor mul_664 = mul(x=mul_651, y=merge2_663)[name = string(\"mul_664\")];\n tensor matmul_665 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_662, y=mul_664)[name = string(\"matmul_665\")];\n tensor matmul_666 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_665, y=sub_662)[name = string(\"matmul_666\")];\n tensor sub_667 = sub(x=sub_662, y=matmul_666)[name = string(\"sub_667\")];\n tensor merge3_668 = const()[name = string(\"merge3_668\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353143808)))];\n tensor mul_669 = mul(x=mul_651, y=merge3_668)[name = string(\"mul_669\")];\n tensor matmul_670 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_667, y=mul_669)[name = string(\"matmul_670\")];\n tensor matmul_671 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_670, y=sub_667)[name = string(\"matmul_671\")];\n tensor sub_672 = sub(x=sub_667, y=matmul_671)[name = string(\"sub_672\")];\n tensor merge4_673 = const()[name = string(\"merge4_673\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353152064)))];\n tensor mul_674 = mul(x=mul_651, y=merge4_673)[name = string(\"mul_674\")];\n tensor matmul_675 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_672, y=mul_674)[name = string(\"matmul_675\")];\n tensor matmul_676 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_675, y=sub_672)[name = string(\"matmul_676\")];\n tensor sub_677 = sub(x=sub_672, y=matmul_676)[name = string(\"sub_677\")];\n tensor merge5_678 = const()[name = string(\"merge5_678\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353160320)))];\n tensor mul_679 = mul(x=mul_651, y=merge5_678)[name = string(\"mul_679\")];\n tensor matmul_680 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_677, y=mul_679)[name = string(\"matmul_680\")];\n tensor matmul_681 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_680, y=sub_677)[name = string(\"matmul_681\")];\n tensor sub_682 = sub(x=sub_677, y=matmul_681)[name = string(\"sub_682\")];\n tensor add_683 = add(x=eye_652, y=mul_651)[name = string(\"add_683\")];\n tensor matmul_684 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_683, y=sub_682)[name = string(\"matmul_684\")];\n tensor sub_685 = sub(x=eye_652, y=matmul_684)[name = string(\"sub_685\")];\n tensor matmul_686 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_682, y=sub_685)[name = string(\"matmul_686\")];\n tensor add_687 = add(x=sub_682, y=matmul_686)[name = string(\"add_687\")];\n tensor exp_688 = exp(x=matmul_642)[name = string(\"exp_688\")];\n tensor matmul_689 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_687, y=mul_641)[name = string(\"matmul_689\")];\n tensor mul_690 = mul(x=mul_633, y=exp_688)[name = string(\"mul_690\")];\n tensor matmul_691 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_687, y=mul_690)[name = string(\"matmul_691\")];\n tensor abs_692 = abs(x=add_623)[name = string(\"abs_692\")];\n tensor reduce_max_693 = reduce_max(x=abs_692, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_max_693\")];\n tensor reduce_max_694 = reduce_max(x=reduce_max_693, axes=iv_145, keep_dims=b_4)[name = string(\"reduce_max_694\")];\n tensor maximum_695 = maximum(x=reduce_max_694, y=c_147)[name = string(\"maximum_695\")];\n tensor real_div_696 = real_div(x=c_8, y=maximum_695)[name = string(\"real_div_696\")];\n tensor mul_697 = mul(x=add_623, y=real_div_696)[name = string(\"mul_697\")];\n tensor matmul_698 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_691, y=mul_697)[name = string(\"matmul_698\")];\n tensor mul_699 = mul(x=maximum_695, y=real_div_639)[name = string(\"mul_699\")];\n tensor mul_700 = mul(x=mul_699, y=c_103)[name = string(\"mul_700\")];\n tensor mul_701 = mul(x=matmul_698, y=mul_700)[name = string(\"mul_701\")];\n tensor sub_702 = sub(x=matmul_689, y=mul_701)[name = string(\"sub_702\")];\n tensor mul_703 = mul(x=mul_631, y=exp_688)[name = string(\"mul_703\")];\n tensor matmul_704 = matmul(transpose_x=b_39, transpose_y=b_39, x=mul_703, y=mul_697)[name = string(\"matmul_704\")];\n tensor mul_705 = mul(x=maximum_695, y=c_216)[name = string(\"mul_705\")];\n tensor mul_706 = mul(x=matmul_704, y=mul_705)[name = string(\"mul_706\")];\n tensor matmul_707 = matmul(transpose_x=b_39, transpose_y=b_4, x=mul_631, y=mul_632)[name = string(\"matmul_707\")];\n tensor mul_708 = mul(x=matmul_707, y=mul_647)[name = string(\"mul_708\")];\n tensor mul_709 = mul(x=mul_708, y=c_6)[name = string(\"mul_709\")];\n tensor matmul_710 = matmul(transpose_x=b_39, transpose_y=b_39, x=mul_709, y=sub_702)[name = string(\"matmul_710\")];\n tensor mul_711 = mul(x=maximum_638, y=c_223)[name = string(\"mul_711\")];\n tensor mul_712 = mul(x=matmul_710, y=mul_711)[name = string(\"mul_712\")];\n tensor add_713 = add(x=mul_706, y=mul_712)[name = string(\"add_713\")];\n tensor slice_by_size_714 = slice_by_size(x=matmul_642, begin=iv_227, size=iv_228)[name = string(\"slice_by_size_714\")];\n tensor sub_715 = sub(x=slice_by_size_714, y=matmul_642)[name = string(\"sub_715\")];\n tensor exp_716 = exp(x=sub_715)[name = string(\"exp_716\")];\n tensor mul_717 = mul(x=mul_632, y=exp_716)[name = string(\"mul_717\")];\n tensor matmul_718 = matmul(transpose_x=b_4, transpose_y=b_39, x=mul_717, y=sub_702)[name = string(\"matmul_718\")];\n tensor mul_719 = mul(x=maximum_638, y=c_234)[name = string(\"mul_719\")];\n tensor mul_720 = mul(x=matmul_718, y=mul_719)[name = string(\"mul_720\")];\n tensor exp_721 = exp(x=slice_by_size_714)[name = string(\"exp_721\")];\n tensor mul_722 = mul(x=add_623, y=exp_721)[name = string(\"mul_722\")];\n tensor add_723 = add(x=mul_722, y=mul_720)[name = string(\"add_723\")];\n tensor concat_724 = concat(axis=i_75, interleave=b_39, values=(add_613, add_713))[name = string(\"concat_724\")];\n tensor gate_norm_w_725 = const()[name = string(\"gate_norm_w_725\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353168576)))];\n tensor abs_726 = abs(x=concat_724)[name = string(\"abs_726\")];\n tensor reduce_max_727 = reduce_max(x=abs_726, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_max_727\")];\n tensor maximum_728 = maximum(x=reduce_max_727, y=c_6)[name = string(\"maximum_728\")];\n tensor real_div_729 = real_div(x=c_8, y=maximum_728)[name = string(\"real_div_729\")];\n tensor mul_730 = mul(x=concat_724, y=real_div_729)[name = string(\"mul_730\")];\n tensor pow_731 = pow(x=mul_730, y=c_11)[name = string(\"pow_731\")];\n tensor reduce_sum_732 = reduce_sum(x=pow_731, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_sum_732\")];\n tensor mul_733 = mul(x=reduce_sum_732, y=c_234)[name = string(\"mul_733\")];\n tensor pow_734 = pow(x=real_div_729, y=c_11)[name = string(\"pow_734\")];\n tensor mul_735 = mul(x=pow_734, y=c_17)[name = string(\"mul_735\")];\n tensor add_736 = add(x=mul_733, y=mul_735)[name = string(\"add_736\")];\n tensor rsqrt_737 = rsqrt(x=add_736, epsilon=c_20)[name = string(\"rsqrt_737\")];\n tensor mul_738 = mul(x=mul_730, y=rsqrt_737)[name = string(\"mul_738\")];\n tensor mul_739 = mul(x=mul_738, y=gate_norm_w_725)[name = string(\"mul_739\")];\n tensor reshape_740 = reshape(shape=iv_65, x=conv_450)[name = string(\"reshape_740\")];\n tensor transpose_741 = transpose(perm=iv_56, x=reshape_740)[name = string(\"transpose_741\")];\n tensor mul_742 = mul(x=transpose_741, y=c_47)[name = string(\"mul_742\")];\n tensor exp_743 = exp(x=mul_742)[name = string(\"exp_743\")];\n tensor add_744 = add(x=exp_743, y=c_8)[name = string(\"add_744\")];\n tensor real_div_745 = real_div(x=transpose_741, y=add_744)[name = string(\"real_div_745\")];\n tensor mul_746 = mul(x=mul_739, y=real_div_745)[name = string(\"mul_746\")];\n tensor transpose_747 = transpose(perm=iv_56, x=mul_746)[name = string(\"transpose_747\")];\n tensor reshape_748 = reshape(shape=iv_63, x=transpose_747)[name = string(\"reshape_748\")];\n tensor w_out_lut_749 = const()[name = string(\"w_out_lut_749\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(376761920)))];\n tensor w_out_750 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(353168896))), lut = w_out_lut_749)[name = string(\"w_out_750\")];\n tensor conv_751 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_out_750, x=reshape_748)[name = string(\"conv_751\")];\n tensor add_752 = add(x=add_429, y=conv_751)[name = string(\"add_752\")];\n tensor norm_w_753 = const()[name = string(\"norm_w_753\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(376802944)))];\n tensor abs_754 = abs(x=add_752)[name = string(\"abs_754\")];\n tensor reduce_max_755 = reduce_max(x=abs_754, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_755\")];\n tensor maximum_756 = maximum(x=reduce_max_755, y=c_6)[name = string(\"maximum_756\")];\n tensor real_div_757 = real_div(x=c_8, y=maximum_756)[name = string(\"real_div_757\")];\n tensor mul_758 = mul(x=add_752, y=real_div_757)[name = string(\"mul_758\")];\n tensor pow_759 = pow(x=mul_758, y=c_11)[name = string(\"pow_759\")];\n tensor reduce_sum_760 = reduce_sum(x=pow_759, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_sum_760\")];\n tensor mul_761 = mul(x=reduce_sum_760, y=c_14)[name = string(\"mul_761\")];\n tensor pow_762 = pow(x=real_div_757, y=c_11)[name = string(\"pow_762\")];\n tensor mul_763 = mul(x=pow_762, y=c_17)[name = string(\"mul_763\")];\n tensor add_764 = add(x=mul_761, y=mul_763)[name = string(\"add_764\")];\n tensor rsqrt_765 = rsqrt(x=add_764, epsilon=c_20)[name = string(\"rsqrt_765\")];\n tensor mul_766 = mul(x=mul_758, y=rsqrt_765)[name = string(\"mul_766\")];\n tensor mul_767 = mul(x=mul_766, y=norm_w_753)[name = string(\"mul_767\")];\n tensor w_gate_up_lut_768 = const()[name = string(\"w_gate_up_lut_768\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(510506752)))];\n tensor w_gate_up_769 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(376813248))), lut = w_gate_up_lut_768)[name = string(\"w_gate_up_769\")];\n tensor conv_770 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_gate_up_769, x=mul_767)[name = string(\"conv_770\")];\n tensor slice_by_size_771 = slice_by_size(x=conv_770, begin=iv_28, size=iv_388)[name = string(\"slice_by_size_771\")];\n tensor slice_by_size_772 = slice_by_size(x=conv_770, begin=iv_390, size=iv_388)[name = string(\"slice_by_size_772\")];\n tensor mul_773 = mul(x=slice_by_size_771, y=c_47)[name = string(\"mul_773\")];\n tensor exp_774 = exp(x=mul_773)[name = string(\"exp_774\")];\n tensor add_775 = add(x=exp_774, y=c_8)[name = string(\"add_775\")];\n tensor real_div_776 = real_div(x=slice_by_size_771, y=add_775)[name = string(\"real_div_776\")];\n tensor mul_777 = mul(x=real_div_776, y=slice_by_size_772)[name = string(\"mul_777\")];\n tensor abs_778 = abs(x=mul_777)[name = string(\"abs_778\")];\n tensor reduce_max_779 = reduce_max(x=abs_778, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_779\")];\n tensor maximum_780 = maximum(x=reduce_max_779, y=c_400)[name = string(\"maximum_780\")];\n tensor real_div_781 = real_div(x=c_399, y=maximum_780)[name = string(\"real_div_781\")];\n tensor mul_782 = mul(x=mul_777, y=real_div_781)[name = string(\"mul_782\")];\n tensor slice_by_size_783 = slice_by_size(x=mul_782, begin=iv_28, size=iv_404)[name = string(\"slice_by_size_783\")];\n tensor w_down0_lut_784 = const()[name = string(\"w_down0_lut_784\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(527497088)))];\n tensor w_down0_785 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(510785344))), lut = w_down0_lut_784)[name = string(\"w_down0_785\")];\n tensor conv_786 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down0_785, x=slice_by_size_783)[name = string(\"conv_786\")];\n tensor slice_by_size_787 = slice_by_size(x=mul_782, begin=iv_409, size=iv_404)[name = string(\"slice_by_size_787\")];\n tensor w_down1_lut_788 = const()[name = string(\"w_down1_lut_788\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(544249856)))];\n tensor w_down1_789 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(527538112))), lut = w_down1_lut_788)[name = string(\"w_down1_789\")];\n tensor conv_790 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down1_789, x=slice_by_size_787)[name = string(\"conv_790\")];\n tensor slice_by_size_791 = slice_by_size(x=mul_782, begin=iv_414, size=iv_404)[name = string(\"slice_by_size_791\")];\n tensor w_down2_lut_792 = const()[name = string(\"w_down2_lut_792\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(561002624)))];\n tensor w_down2_793 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(544290880))), lut = w_down2_lut_792)[name = string(\"w_down2_793\")];\n tensor conv_794 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down2_793, x=slice_by_size_791)[name = string(\"conv_794\")];\n tensor slice_by_size_795 = slice_by_size(x=mul_782, begin=iv_419, size=iv_404)[name = string(\"slice_by_size_795\")];\n tensor w_down3_lut_796 = const()[name = string(\"w_down3_lut_796\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(577755392)))];\n tensor w_down3_797 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(561043648))), lut = w_down3_lut_796)[name = string(\"w_down3_797\")];\n tensor conv_798 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down3_797, x=slice_by_size_795)[name = string(\"conv_798\")];\n tensor add_799 = add(x=conv_786, y=conv_790)[name = string(\"add_799\")];\n tensor add_800 = add(x=add_799, y=conv_794)[name = string(\"add_800\")];\n tensor add_801 = add(x=add_800, y=conv_798)[name = string(\"add_801\")];\n tensor real_div_802 = real_div(x=c_8, y=real_div_781)[name = string(\"real_div_802\")];\n tensor mul_803 = mul(x=add_801, y=real_div_802)[name = string(\"mul_803\")];\n tensor add_804 = add(x=add_752, y=mul_803)[name = string(\"add_804\")];\n tensor norm_w_805 = const()[name = string(\"norm_w_805\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(577796416)))];\n tensor abs_806 = abs(x=add_804)[name = string(\"abs_806\")];\n tensor reduce_max_807 = reduce_max(x=abs_806, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_807\")];\n tensor maximum_808 = maximum(x=reduce_max_807, y=c_6)[name = string(\"maximum_808\")];\n tensor real_div_809 = real_div(x=c_8, y=maximum_808)[name = string(\"real_div_809\")];\n tensor mul_810 = mul(x=add_804, y=real_div_809)[name = string(\"mul_810\")];\n tensor pow_811 = pow(x=mul_810, y=c_11)[name = string(\"pow_811\")];\n tensor reduce_sum_812 = reduce_sum(x=pow_811, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_sum_812\")];\n tensor mul_813 = mul(x=reduce_sum_812, y=c_14)[name = string(\"mul_813\")];\n tensor pow_814 = pow(x=real_div_809, y=c_11)[name = string(\"pow_814\")];\n tensor mul_815 = mul(x=pow_814, y=c_17)[name = string(\"mul_815\")];\n tensor add_816 = add(x=mul_813, y=mul_815)[name = string(\"add_816\")];\n tensor rsqrt_817 = rsqrt(x=add_816, epsilon=c_20)[name = string(\"rsqrt_817\")];\n tensor mul_818 = mul(x=mul_810, y=rsqrt_817)[name = string(\"mul_818\")];\n tensor mul_819 = mul(x=mul_818, y=norm_w_805)[name = string(\"mul_819\")];\n tensor w_qkv_lut_820 = const()[name = string(\"w_qkv_lut_820\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(617128384)))];\n tensor w_qkv_821 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(577806720))), lut = w_qkv_lut_820)[name = string(\"w_qkv_821\")];\n tensor conv_822 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_qkv_821, x=mul_819)[name = string(\"conv_822\")];\n tensor w_z_lut_823 = const()[name = string(\"w_z_lut_823\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(640803392)))];\n tensor w_z_824 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(617210368))), lut = w_z_lut_823)[name = string(\"w_z_824\")];\n tensor conv_825 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_z_824, x=mul_819)[name = string(\"conv_825\")];\n tensor w_b_826 = const()[name = string(\"w_b_826\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(640852608)))];\n tensor conv_827 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_b_826, x=mul_819)[name = string(\"conv_827\")];\n tensor w_a_828 = const()[name = string(\"w_a_828\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(641344192)))];\n tensor conv_829 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_a_828, x=mul_819)[name = string(\"conv_829\")];\n tensor concat_830 = concat(axis=i_38, interleave=b_39, values=(conv_in2, conv_822))[name = string(\"concat_830\")];\n tensor slice_by_size_831 = slice_by_size(x=concat_830, begin=iv_41, size=iv_42)[name = string(\"slice_by_size_831\")];\n tensor w_conv_832 = const()[name = string(\"w_conv_832\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(641835776)))];\n tensor conv_833 = conv(dilations=iv_26, groups=i_45, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_conv_832, x=concat_830)[name = string(\"conv_833\")];\n tensor mul_834 = mul(x=conv_833, y=c_47)[name = string(\"mul_834\")];\n tensor exp_835 = exp(x=mul_834)[name = string(\"exp_835\")];\n tensor add_836 = add(x=exp_835, y=c_8)[name = string(\"add_836\")];\n tensor real_div_837 = real_div(x=conv_833, y=add_836)[name = string(\"real_div_837\")];\n tensor slice_by_size_838 = slice_by_size(x=real_div_837, begin=iv_28, size=iv_52)[name = string(\"slice_by_size_838\")];\n tensor reshape_839 = reshape(shape=iv_54, x=slice_by_size_838)[name = string(\"reshape_839\")];\n tensor transpose_840 = transpose(perm=iv_56, x=reshape_839)[name = string(\"transpose_840\")];\n tensor slice_by_size_841 = slice_by_size(x=real_div_837, begin=iv_58, size=iv_52)[name = string(\"slice_by_size_841\")];\n tensor reshape_842 = reshape(shape=iv_54, x=slice_by_size_841)[name = string(\"reshape_842\")];\n tensor transpose_843 = transpose(perm=iv_56, x=reshape_842)[name = string(\"transpose_843\")];\n tensor slice_by_size_844 = slice_by_size(x=real_div_837, begin=iv_62, size=iv_63)[name = string(\"slice_by_size_844\")];\n tensor reshape_845 = reshape(shape=iv_65, x=slice_by_size_844)[name = string(\"reshape_845\")];\n tensor transpose_846 = transpose(perm=iv_56, x=reshape_845)[name = string(\"transpose_846\")];\n tensor pow_847 = pow(x=transpose_840, y=c_11)[name = string(\"pow_847\")];\n tensor reduce_sum_848 = reduce_sum(x=pow_847, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_sum_848\")];\n tensor rsqrt_849 = rsqrt(x=reduce_sum_848, epsilon=c_17)[name = string(\"rsqrt_849\")];\n tensor mul_850 = mul(x=transpose_840, y=rsqrt_849)[name = string(\"mul_850\")];\n tensor reshape_851 = reshape(shape=iv_73, x=mul_850)[name = string(\"reshape_851\")];\n tensor concat_852 = concat(axis=i_75, interleave=b_39, values=(reshape_851, reshape_851, reshape_851))[name = string(\"concat_852\")];\n tensor reshape_853 = reshape(shape=iv_65, x=concat_852)[name = string(\"reshape_853\")];\n tensor pow_854 = pow(x=transpose_843, y=c_11)[name = string(\"pow_854\")];\n tensor reduce_sum_855 = reduce_sum(x=pow_854, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_sum_855\")];\n tensor rsqrt_856 = rsqrt(x=reduce_sum_855, epsilon=c_17)[name = string(\"rsqrt_856\")];\n tensor mul_857 = mul(x=transpose_843, y=rsqrt_856)[name = string(\"mul_857\")];\n tensor reshape_858 = reshape(shape=iv_73, x=mul_857)[name = string(\"reshape_858\")];\n tensor concat_859 = concat(axis=i_75, interleave=b_39, values=(reshape_858, reshape_858, reshape_858))[name = string(\"concat_859\")];\n tensor reshape_860 = reshape(shape=iv_65, x=concat_859)[name = string(\"reshape_860\")];\n tensor mul_861 = mul(x=conv_827, y=c_47)[name = string(\"mul_861\")];\n tensor exp_862 = exp(x=mul_861)[name = string(\"exp_862\")];\n tensor add_863 = add(x=exp_862, y=c_8)[name = string(\"add_863\")];\n tensor real_div_864 = real_div(x=c_8, y=add_863)[name = string(\"real_div_864\")];\n tensor transpose_865 = transpose(perm=iv_56, x=real_div_864)[name = string(\"transpose_865\")];\n tensor dt_bias_866 = const()[name = string(\"dt_bias_866\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(641917760)))];\n tensor neg_a_867 = const()[name = string(\"neg_a_867\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(641917952)))];\n tensor add_868 = add(x=conv_829, y=dt_bias_866)[name = string(\"add_868\")];\n tensor minimum_869 = minimum(x=add_868, y=c_93)[name = string(\"minimum_869\")];\n tensor exp_870 = exp(x=minimum_869)[name = string(\"exp_870\")];\n tensor mul_871 = mul(x=exp_870, y=c_96)[name = string(\"mul_871\")];\n tensor mul_872 = mul(x=mul_871, y=c_47)[name = string(\"mul_872\")];\n tensor add_873 = add(x=mul_872, y=c_99)[name = string(\"add_873\")];\n tensor mul_874 = mul(x=exp_870, y=add_873)[name = string(\"mul_874\")];\n tensor mul_875 = mul(x=mul_874, y=c_47)[name = string(\"mul_875\")];\n tensor add_876 = add(x=mul_875, y=c_103)[name = string(\"add_876\")];\n tensor mul_877 = mul(x=exp_870, y=add_876)[name = string(\"mul_877\")];\n tensor mul_878 = mul(x=mul_877, y=c_47)[name = string(\"mul_878\")];\n tensor add_879 = add(x=mul_878, y=c_8)[name = string(\"add_879\")];\n tensor mul_880 = mul(x=exp_870, y=add_879)[name = string(\"mul_880\")];\n tensor minimum_881 = minimum(x=add_868, y=c_109)[name = string(\"minimum_881\")];\n tensor maximum_882 = maximum(x=minimum_881, y=c_93)[name = string(\"maximum_882\")];\n tensor softplus_883 = softplus(x=maximum_882)[name = string(\"softplus_883\")];\n tensor sub_884 = sub(x=add_868, y=c_109)[name = string(\"sub_884\")];\n tensor maximum_885 = maximum(x=sub_884, y=c_20)[name = string(\"maximum_885\")];\n tensor add_886 = add(x=softplus_883, y=maximum_885)[name = string(\"add_886\")];\n tensor mul_887 = mul(x=add_868, y=c_47)[name = string(\"mul_887\")];\n tensor add_888 = add(x=mul_887, y=c_93)[name = string(\"add_888\")];\n tensor mul_889 = mul(x=add_888, y=c_118)[name = string(\"mul_889\")];\n tensor maximum_890 = maximum(x=mul_889, y=c_20)[name = string(\"maximum_890\")];\n tensor minimum_891 = minimum(x=maximum_890, y=c_8)[name = string(\"minimum_891\")];\n tensor mul_892 = mul(x=minimum_891, y=mul_880)[name = string(\"mul_892\")];\n tensor mul_893 = mul(x=minimum_891, y=c_47)[name = string(\"mul_893\")];\n tensor add_894 = add(x=mul_893, y=c_8)[name = string(\"add_894\")];\n tensor mul_895 = mul(x=add_894, y=add_886)[name = string(\"mul_895\")];\n tensor add_896 = add(x=mul_892, y=mul_895)[name = string(\"add_896\")];\n tensor mul_897 = mul(x=add_896, y=neg_a_867)[name = string(\"mul_897\")];\n tensor transpose_898 = transpose(perm=iv_56, x=mul_897)[name = string(\"transpose_898\")];\n tensor slice_by_size_899 = slice_by_size(x=reshape_853, begin=iv_28, size=iv_129)[name = string(\"slice_by_size_899\")];\n tensor slice_by_size_900 = slice_by_size(x=reshape_860, begin=iv_28, size=iv_129)[name = string(\"slice_by_size_900\")];\n tensor slice_by_size_901 = slice_by_size(x=transpose_846, begin=iv_28, size=iv_129)[name = string(\"slice_by_size_901\")];\n tensor slice_by_size_902 = slice_by_size(x=transpose_865, begin=iv_28, size=iv_133)[name = string(\"slice_by_size_902\")];\n tensor slice_by_size_903 = slice_by_size(x=transpose_898, begin=iv_28, size=iv_133)[name = string(\"slice_by_size_903\")];\n tensor tril_904 = const()[name = string(\"tril_904\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(641918144)))];\n tensor tril_strict_905 = const()[name = string(\"tril_strict_905\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(641926400)))];\n tensor mul_906 = mul(x=slice_by_size_899, y=c_138)[name = string(\"mul_906\")];\n tensor mul_907 = mul(x=slice_by_size_900, y=c_138)[name = string(\"mul_907\")];\n tensor mul_908 = mul(x=mul_907, y=slice_by_size_902)[name = string(\"mul_908\")];\n tensor mul_909 = mul(x=slice_by_size_901, y=slice_by_size_902)[name = string(\"mul_909\")];\n tensor abs_910 = abs(x=mul_909)[name = string(\"abs_910\")];\n tensor reduce_max_911 = reduce_max(x=abs_910, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_max_911\")];\n tensor reduce_max_912 = reduce_max(x=reduce_max_911, axes=iv_145, keep_dims=b_4)[name = string(\"reduce_max_912\")];\n tensor maximum_913 = maximum(x=reduce_max_912, y=c_147)[name = string(\"maximum_913\")];\n tensor real_div_914 = real_div(x=c_8, y=maximum_913)[name = string(\"real_div_914\")];\n tensor mul_915 = mul(x=real_div_914, y=c_109)[name = string(\"mul_915\")];\n tensor mul_916 = mul(x=mul_909, y=mul_915)[name = string(\"mul_916\")];\n tensor matmul_917 = matmul(transpose_x=b_39, transpose_y=b_39, x=tril_904, y=slice_by_size_903)[name = string(\"matmul_917\")];\n tensor transpose_918 = transpose(perm=iv_56, x=matmul_917)[name = string(\"transpose_918\")];\n tensor sub_919 = sub(x=matmul_917, y=transpose_918)[name = string(\"sub_919\")];\n tensor mul_920 = mul(x=sub_919, y=tril_904)[name = string(\"mul_920\")];\n tensor exp_921 = exp(x=mul_920)[name = string(\"exp_921\")];\n tensor mul_922 = mul(x=exp_921, y=tril_904)[name = string(\"mul_922\")];\n tensor matmul_923 = matmul(transpose_x=b_39, transpose_y=b_4, x=mul_908, y=mul_907)[name = string(\"matmul_923\")];\n tensor mul_924 = mul(x=matmul_923, y=c_159)[name = string(\"mul_924\")];\n tensor mul_925 = mul(x=mul_924, y=mul_922)[name = string(\"mul_925\")];\n tensor mul_926 = mul(x=mul_925, y=tril_strict_905)[name = string(\"mul_926\")];\n tensor eye_927 = const()[name = string(\"eye_927\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(641934656)))];\n tensor merge0_928 = const()[name = string(\"merge0_928\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(641942912)))];\n tensor mul_929 = mul(x=mul_926, y=merge0_928)[name = string(\"mul_929\")];\n tensor matmul_930 = matmul(transpose_x=b_39, transpose_y=b_39, x=eye_927, y=mul_929)[name = string(\"matmul_930\")];\n tensor matmul_931 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_930, y=eye_927)[name = string(\"matmul_931\")];\n tensor sub_932 = sub(x=eye_927, y=matmul_931)[name = string(\"sub_932\")];\n tensor merge1_933 = const()[name = string(\"merge1_933\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(641951168)))];\n tensor mul_934 = mul(x=mul_926, y=merge1_933)[name = string(\"mul_934\")];\n tensor matmul_935 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_932, y=mul_934)[name = string(\"matmul_935\")];\n tensor matmul_936 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_935, y=sub_932)[name = string(\"matmul_936\")];\n tensor sub_937 = sub(x=sub_932, y=matmul_936)[name = string(\"sub_937\")];\n tensor merge2_938 = const()[name = string(\"merge2_938\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(641959424)))];\n tensor mul_939 = mul(x=mul_926, y=merge2_938)[name = string(\"mul_939\")];\n tensor matmul_940 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_937, y=mul_939)[name = string(\"matmul_940\")];\n tensor matmul_941 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_940, y=sub_937)[name = string(\"matmul_941\")];\n tensor sub_942 = sub(x=sub_937, y=matmul_941)[name = string(\"sub_942\")];\n tensor merge3_943 = const()[name = string(\"merge3_943\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(641967680)))];\n tensor mul_944 = mul(x=mul_926, y=merge3_943)[name = string(\"mul_944\")];\n tensor matmul_945 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_942, y=mul_944)[name = string(\"matmul_945\")];\n tensor matmul_946 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_945, y=sub_942)[name = string(\"matmul_946\")];\n tensor sub_947 = sub(x=sub_942, y=matmul_946)[name = string(\"sub_947\")];\n tensor merge4_948 = const()[name = string(\"merge4_948\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(641975936)))];\n tensor mul_949 = mul(x=mul_926, y=merge4_948)[name = string(\"mul_949\")];\n tensor matmul_950 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_947, y=mul_949)[name = string(\"matmul_950\")];\n tensor matmul_951 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_950, y=sub_947)[name = string(\"matmul_951\")];\n tensor sub_952 = sub(x=sub_947, y=matmul_951)[name = string(\"sub_952\")];\n tensor merge5_953 = const()[name = string(\"merge5_953\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(641984192)))];\n tensor mul_954 = mul(x=mul_926, y=merge5_953)[name = string(\"mul_954\")];\n tensor matmul_955 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_952, y=mul_954)[name = string(\"matmul_955\")];\n tensor matmul_956 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_955, y=sub_952)[name = string(\"matmul_956\")];\n tensor sub_957 = sub(x=sub_952, y=matmul_956)[name = string(\"sub_957\")];\n tensor add_958 = add(x=eye_927, y=mul_926)[name = string(\"add_958\")];\n tensor matmul_959 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_958, y=sub_957)[name = string(\"matmul_959\")];\n tensor sub_960 = sub(x=eye_927, y=matmul_959)[name = string(\"sub_960\")];\n tensor matmul_961 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_957, y=sub_960)[name = string(\"matmul_961\")];\n tensor add_962 = add(x=sub_957, y=matmul_961)[name = string(\"add_962\")];\n tensor exp_963 = exp(x=matmul_917)[name = string(\"exp_963\")];\n tensor matmul_964 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_962, y=mul_916)[name = string(\"matmul_964\")];\n tensor mul_965 = mul(x=mul_908, y=exp_963)[name = string(\"mul_965\")];\n tensor matmul_966 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_962, y=mul_965)[name = string(\"matmul_966\")];\n tensor abs_967 = abs(x=rec_in2)[name = string(\"abs_967\")];\n tensor reduce_max_968 = reduce_max(x=abs_967, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_max_968\")];\n tensor reduce_max_969 = reduce_max(x=reduce_max_968, axes=iv_145, keep_dims=b_4)[name = string(\"reduce_max_969\")];\n tensor maximum_970 = maximum(x=reduce_max_969, y=c_147)[name = string(\"maximum_970\")];\n tensor real_div_971 = real_div(x=c_8, y=maximum_970)[name = string(\"real_div_971\")];\n tensor mul_972 = mul(x=rec_in2, y=real_div_971)[name = string(\"mul_972\")];\n tensor matmul_973 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_966, y=mul_972)[name = string(\"matmul_973\")];\n tensor mul_974 = mul(x=maximum_970, y=real_div_914)[name = string(\"mul_974\")];\n tensor mul_975 = mul(x=mul_974, y=c_103)[name = string(\"mul_975\")];\n tensor mul_976 = mul(x=matmul_973, y=mul_975)[name = string(\"mul_976\")];\n tensor sub_977 = sub(x=matmul_964, y=mul_976)[name = string(\"sub_977\")];\n tensor mul_978 = mul(x=mul_906, y=exp_963)[name = string(\"mul_978\")];\n tensor matmul_979 = matmul(transpose_x=b_39, transpose_y=b_39, x=mul_978, y=mul_972)[name = string(\"matmul_979\")];\n tensor mul_980 = mul(x=maximum_970, y=c_216)[name = string(\"mul_980\")];\n tensor mul_981 = mul(x=matmul_979, y=mul_980)[name = string(\"mul_981\")];\n tensor matmul_982 = matmul(transpose_x=b_39, transpose_y=b_4, x=mul_906, y=mul_907)[name = string(\"matmul_982\")];\n tensor mul_983 = mul(x=matmul_982, y=mul_922)[name = string(\"mul_983\")];\n tensor mul_984 = mul(x=mul_983, y=c_6)[name = string(\"mul_984\")];\n tensor matmul_985 = matmul(transpose_x=b_39, transpose_y=b_39, x=mul_984, y=sub_977)[name = string(\"matmul_985\")];\n tensor mul_986 = mul(x=maximum_913, y=c_223)[name = string(\"mul_986\")];\n tensor mul_987 = mul(x=matmul_985, y=mul_986)[name = string(\"mul_987\")];\n tensor add_988 = add(x=mul_981, y=mul_987)[name = string(\"add_988\")];\n tensor slice_by_size_989 = slice_by_size(x=matmul_917, begin=iv_227, size=iv_228)[name = string(\"slice_by_size_989\")];\n tensor sub_990 = sub(x=slice_by_size_989, y=matmul_917)[name = string(\"sub_990\")];\n tensor exp_991 = exp(x=sub_990)[name = string(\"exp_991\")];\n tensor mul_992 = mul(x=mul_907, y=exp_991)[name = string(\"mul_992\")];\n tensor matmul_993 = matmul(transpose_x=b_4, transpose_y=b_39, x=mul_992, y=sub_977)[name = string(\"matmul_993\")];\n tensor mul_994 = mul(x=maximum_913, y=c_234)[name = string(\"mul_994\")];\n tensor mul_995 = mul(x=matmul_993, y=mul_994)[name = string(\"mul_995\")];\n tensor exp_996 = exp(x=slice_by_size_989)[name = string(\"exp_996\")];\n tensor mul_997 = mul(x=rec_in2, y=exp_996)[name = string(\"mul_997\")];\n tensor add_998 = add(x=mul_997, y=mul_995)[name = string(\"add_998\")];\n tensor slice_by_size_999 = slice_by_size(x=reshape_853, begin=iv_240, size=iv_129)[name = string(\"slice_by_size_999\")];\n tensor slice_by_size_1000 = slice_by_size(x=reshape_860, begin=iv_240, size=iv_129)[name = string(\"slice_by_size_1000\")];\n tensor slice_by_size_1001 = slice_by_size(x=transpose_846, begin=iv_240, size=iv_129)[name = string(\"slice_by_size_1001\")];\n tensor slice_by_size_1002 = slice_by_size(x=transpose_865, begin=iv_240, size=iv_133)[name = string(\"slice_by_size_1002\")];\n tensor slice_by_size_1003 = slice_by_size(x=transpose_898, begin=iv_240, size=iv_133)[name = string(\"slice_by_size_1003\")];\n tensor tril_1004 = const()[name = string(\"tril_1004\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(641992448)))];\n tensor tril_strict_1005 = const()[name = string(\"tril_strict_1005\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(642000704)))];\n tensor mul_1006 = mul(x=slice_by_size_999, y=c_138)[name = string(\"mul_1006\")];\n tensor mul_1007 = mul(x=slice_by_size_1000, y=c_138)[name = string(\"mul_1007\")];\n tensor mul_1008 = mul(x=mul_1007, y=slice_by_size_1002)[name = string(\"mul_1008\")];\n tensor mul_1009 = mul(x=slice_by_size_1001, y=slice_by_size_1002)[name = string(\"mul_1009\")];\n tensor abs_1010 = abs(x=mul_1009)[name = string(\"abs_1010\")];\n tensor reduce_max_1011 = reduce_max(x=abs_1010, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_max_1011\")];\n tensor reduce_max_1012 = reduce_max(x=reduce_max_1011, axes=iv_145, keep_dims=b_4)[name = string(\"reduce_max_1012\")];\n tensor maximum_1013 = maximum(x=reduce_max_1012, y=c_147)[name = string(\"maximum_1013\")];\n tensor real_div_1014 = real_div(x=c_8, y=maximum_1013)[name = string(\"real_div_1014\")];\n tensor mul_1015 = mul(x=real_div_1014, y=c_109)[name = string(\"mul_1015\")];\n tensor mul_1016 = mul(x=mul_1009, y=mul_1015)[name = string(\"mul_1016\")];\n tensor matmul_1017 = matmul(transpose_x=b_39, transpose_y=b_39, x=tril_1004, y=slice_by_size_1003)[name = string(\"matmul_1017\")];\n tensor transpose_1018 = transpose(perm=iv_56, x=matmul_1017)[name = string(\"transpose_1018\")];\n tensor sub_1019 = sub(x=matmul_1017, y=transpose_1018)[name = string(\"sub_1019\")];\n tensor mul_1020 = mul(x=sub_1019, y=tril_1004)[name = string(\"mul_1020\")];\n tensor exp_1021 = exp(x=mul_1020)[name = string(\"exp_1021\")];\n tensor mul_1022 = mul(x=exp_1021, y=tril_1004)[name = string(\"mul_1022\")];\n tensor matmul_1023 = matmul(transpose_x=b_39, transpose_y=b_4, x=mul_1008, y=mul_1007)[name = string(\"matmul_1023\")];\n tensor mul_1024 = mul(x=matmul_1023, y=c_159)[name = string(\"mul_1024\")];\n tensor mul_1025 = mul(x=mul_1024, y=mul_1022)[name = string(\"mul_1025\")];\n tensor mul_1026 = mul(x=mul_1025, y=tril_strict_1005)[name = string(\"mul_1026\")];\n tensor eye_1027 = const()[name = string(\"eye_1027\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(642008960)))];\n tensor merge0_1028 = const()[name = string(\"merge0_1028\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(642017216)))];\n tensor mul_1029 = mul(x=mul_1026, y=merge0_1028)[name = string(\"mul_1029\")];\n tensor matmul_1030 = matmul(transpose_x=b_39, transpose_y=b_39, x=eye_1027, y=mul_1029)[name = string(\"matmul_1030\")];\n tensor matmul_1031 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_1030, y=eye_1027)[name = string(\"matmul_1031\")];\n tensor sub_1032 = sub(x=eye_1027, y=matmul_1031)[name = string(\"sub_1032\")];\n tensor merge1_1033 = const()[name = string(\"merge1_1033\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(642025472)))];\n tensor mul_1034 = mul(x=mul_1026, y=merge1_1033)[name = string(\"mul_1034\")];\n tensor matmul_1035 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_1032, y=mul_1034)[name = string(\"matmul_1035\")];\n tensor matmul_1036 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_1035, y=sub_1032)[name = string(\"matmul_1036\")];\n tensor sub_1037 = sub(x=sub_1032, y=matmul_1036)[name = string(\"sub_1037\")];\n tensor merge2_1038 = const()[name = string(\"merge2_1038\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(642033728)))];\n tensor mul_1039 = mul(x=mul_1026, y=merge2_1038)[name = string(\"mul_1039\")];\n tensor matmul_1040 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_1037, y=mul_1039)[name = string(\"matmul_1040\")];\n tensor matmul_1041 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_1040, y=sub_1037)[name = string(\"matmul_1041\")];\n tensor sub_1042 = sub(x=sub_1037, y=matmul_1041)[name = string(\"sub_1042\")];\n tensor merge3_1043 = const()[name = string(\"merge3_1043\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(642041984)))];\n tensor mul_1044 = mul(x=mul_1026, y=merge3_1043)[name = string(\"mul_1044\")];\n tensor matmul_1045 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_1042, y=mul_1044)[name = string(\"matmul_1045\")];\n tensor matmul_1046 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_1045, y=sub_1042)[name = string(\"matmul_1046\")];\n tensor sub_1047 = sub(x=sub_1042, y=matmul_1046)[name = string(\"sub_1047\")];\n tensor merge4_1048 = const()[name = string(\"merge4_1048\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(642050240)))];\n tensor mul_1049 = mul(x=mul_1026, y=merge4_1048)[name = string(\"mul_1049\")];\n tensor matmul_1050 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_1047, y=mul_1049)[name = string(\"matmul_1050\")];\n tensor matmul_1051 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_1050, y=sub_1047)[name = string(\"matmul_1051\")];\n tensor sub_1052 = sub(x=sub_1047, y=matmul_1051)[name = string(\"sub_1052\")];\n tensor merge5_1053 = const()[name = string(\"merge5_1053\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(642058496)))];\n tensor mul_1054 = mul(x=mul_1026, y=merge5_1053)[name = string(\"mul_1054\")];\n tensor matmul_1055 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_1052, y=mul_1054)[name = string(\"matmul_1055\")];\n tensor matmul_1056 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_1055, y=sub_1052)[name = string(\"matmul_1056\")];\n tensor sub_1057 = sub(x=sub_1052, y=matmul_1056)[name = string(\"sub_1057\")];\n tensor add_1058 = add(x=eye_1027, y=mul_1026)[name = string(\"add_1058\")];\n tensor matmul_1059 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_1058, y=sub_1057)[name = string(\"matmul_1059\")];\n tensor sub_1060 = sub(x=eye_1027, y=matmul_1059)[name = string(\"sub_1060\")];\n tensor matmul_1061 = matmul(transpose_x=b_39, transpose_y=b_39, x=sub_1057, y=sub_1060)[name = string(\"matmul_1061\")];\n tensor add_1062 = add(x=sub_1057, y=matmul_1061)[name = string(\"add_1062\")];\n tensor exp_1063 = exp(x=matmul_1017)[name = string(\"exp_1063\")];\n tensor matmul_1064 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_1062, y=mul_1016)[name = string(\"matmul_1064\")];\n tensor mul_1065 = mul(x=mul_1008, y=exp_1063)[name = string(\"mul_1065\")];\n tensor matmul_1066 = matmul(transpose_x=b_39, transpose_y=b_39, x=add_1062, y=mul_1065)[name = string(\"matmul_1066\")];\n tensor abs_1067 = abs(x=add_998)[name = string(\"abs_1067\")];\n tensor reduce_max_1068 = reduce_max(x=abs_1067, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_max_1068\")];\n tensor reduce_max_1069 = reduce_max(x=reduce_max_1068, axes=iv_145, keep_dims=b_4)[name = string(\"reduce_max_1069\")];\n tensor maximum_1070 = maximum(x=reduce_max_1069, y=c_147)[name = string(\"maximum_1070\")];\n tensor real_div_1071 = real_div(x=c_8, y=maximum_1070)[name = string(\"real_div_1071\")];\n tensor mul_1072 = mul(x=add_998, y=real_div_1071)[name = string(\"mul_1072\")];\n tensor matmul_1073 = matmul(transpose_x=b_39, transpose_y=b_39, x=matmul_1066, y=mul_1072)[name = string(\"matmul_1073\")];\n tensor mul_1074 = mul(x=maximum_1070, y=real_div_1014)[name = string(\"mul_1074\")];\n tensor mul_1075 = mul(x=mul_1074, y=c_103)[name = string(\"mul_1075\")];\n tensor mul_1076 = mul(x=matmul_1073, y=mul_1075)[name = string(\"mul_1076\")];\n tensor sub_1077 = sub(x=matmul_1064, y=mul_1076)[name = string(\"sub_1077\")];\n tensor mul_1078 = mul(x=mul_1006, y=exp_1063)[name = string(\"mul_1078\")];\n tensor matmul_1079 = matmul(transpose_x=b_39, transpose_y=b_39, x=mul_1078, y=mul_1072)[name = string(\"matmul_1079\")];\n tensor mul_1080 = mul(x=maximum_1070, y=c_216)[name = string(\"mul_1080\")];\n tensor mul_1081 = mul(x=matmul_1079, y=mul_1080)[name = string(\"mul_1081\")];\n tensor matmul_1082 = matmul(transpose_x=b_39, transpose_y=b_4, x=mul_1006, y=mul_1007)[name = string(\"matmul_1082\")];\n tensor mul_1083 = mul(x=matmul_1082, y=mul_1022)[name = string(\"mul_1083\")];\n tensor mul_1084 = mul(x=mul_1083, y=c_6)[name = string(\"mul_1084\")];\n tensor matmul_1085 = matmul(transpose_x=b_39, transpose_y=b_39, x=mul_1084, y=sub_1077)[name = string(\"matmul_1085\")];\n tensor mul_1086 = mul(x=maximum_1013, y=c_223)[name = string(\"mul_1086\")];\n tensor mul_1087 = mul(x=matmul_1085, y=mul_1086)[name = string(\"mul_1087\")];\n tensor add_1088 = add(x=mul_1081, y=mul_1087)[name = string(\"add_1088\")];\n tensor slice_by_size_1089 = slice_by_size(x=matmul_1017, begin=iv_227, size=iv_228)[name = string(\"slice_by_size_1089\")];\n tensor sub_1090 = sub(x=slice_by_size_1089, y=matmul_1017)[name = string(\"sub_1090\")];\n tensor exp_1091 = exp(x=sub_1090)[name = string(\"exp_1091\")];\n tensor mul_1092 = mul(x=mul_1007, y=exp_1091)[name = string(\"mul_1092\")];\n tensor matmul_1093 = matmul(transpose_x=b_4, transpose_y=b_39, x=mul_1092, y=sub_1077)[name = string(\"matmul_1093\")];\n tensor mul_1094 = mul(x=maximum_1013, y=c_234)[name = string(\"mul_1094\")];\n tensor mul_1095 = mul(x=matmul_1093, y=mul_1094)[name = string(\"mul_1095\")];\n tensor exp_1096 = exp(x=slice_by_size_1089)[name = string(\"exp_1096\")];\n tensor mul_1097 = mul(x=add_998, y=exp_1096)[name = string(\"mul_1097\")];\n tensor add_1098 = add(x=mul_1097, y=mul_1095)[name = string(\"add_1098\")];\n tensor concat_1099 = concat(axis=i_75, interleave=b_39, values=(add_988, add_1088))[name = string(\"concat_1099\")];\n tensor gate_norm_w_1100 = const()[name = string(\"gate_norm_w_1100\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(642066752)))];\n tensor abs_1101 = abs(x=concat_1099)[name = string(\"abs_1101\")];\n tensor reduce_max_1102 = reduce_max(x=abs_1101, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_max_1102\")];\n tensor maximum_1103 = maximum(x=reduce_max_1102, y=c_6)[name = string(\"maximum_1103\")];\n tensor real_div_1104 = real_div(x=c_8, y=maximum_1103)[name = string(\"real_div_1104\")];\n tensor mul_1105 = mul(x=concat_1099, y=real_div_1104)[name = string(\"mul_1105\")];\n tensor pow_1106 = pow(x=mul_1105, y=c_11)[name = string(\"pow_1106\")];\n tensor reduce_sum_1107 = reduce_sum(x=pow_1106, axes=iv_69, keep_dims=b_4)[name = string(\"reduce_sum_1107\")];\n tensor mul_1108 = mul(x=reduce_sum_1107, y=c_234)[name = string(\"mul_1108\")];\n tensor pow_1109 = pow(x=real_div_1104, y=c_11)[name = string(\"pow_1109\")];\n tensor mul_1110 = mul(x=pow_1109, y=c_17)[name = string(\"mul_1110\")];\n tensor add_1111 = add(x=mul_1108, y=mul_1110)[name = string(\"add_1111\")];\n tensor rsqrt_1112 = rsqrt(x=add_1111, epsilon=c_20)[name = string(\"rsqrt_1112\")];\n tensor mul_1113 = mul(x=mul_1105, y=rsqrt_1112)[name = string(\"mul_1113\")];\n tensor mul_1114 = mul(x=mul_1113, y=gate_norm_w_1100)[name = string(\"mul_1114\")];\n tensor reshape_1115 = reshape(shape=iv_65, x=conv_825)[name = string(\"reshape_1115\")];\n tensor transpose_1116 = transpose(perm=iv_56, x=reshape_1115)[name = string(\"transpose_1116\")];\n tensor mul_1117 = mul(x=transpose_1116, y=c_47)[name = string(\"mul_1117\")];\n tensor exp_1118 = exp(x=mul_1117)[name = string(\"exp_1118\")];\n tensor add_1119 = add(x=exp_1118, y=c_8)[name = string(\"add_1119\")];\n tensor real_div_1120 = real_div(x=transpose_1116, y=add_1119)[name = string(\"real_div_1120\")];\n tensor mul_1121 = mul(x=mul_1114, y=real_div_1120)[name = string(\"mul_1121\")];\n tensor transpose_1122 = transpose(perm=iv_56, x=mul_1121)[name = string(\"transpose_1122\")];\n tensor reshape_1123 = reshape(shape=iv_63, x=transpose_1122)[name = string(\"reshape_1123\")];\n tensor w_out_lut_1124 = const()[name = string(\"w_out_lut_1124\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(665660096)))];\n tensor w_out_1125 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(642067072))), lut = w_out_lut_1124)[name = string(\"w_out_1125\")];\n tensor conv_1126 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_out_1125, x=reshape_1123)[name = string(\"conv_1126\")];\n tensor add_1127 = add(x=add_804, y=conv_1126)[name = string(\"add_1127\")];\n tensor norm_w_1128 = const()[name = string(\"norm_w_1128\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(665701120)))];\n tensor abs_1129 = abs(x=add_1127)[name = string(\"abs_1129\")];\n tensor reduce_max_1130 = reduce_max(x=abs_1129, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_1130\")];\n tensor maximum_1131 = maximum(x=reduce_max_1130, y=c_6)[name = string(\"maximum_1131\")];\n tensor real_div_1132 = real_div(x=c_8, y=maximum_1131)[name = string(\"real_div_1132\")];\n tensor mul_1133 = mul(x=add_1127, y=real_div_1132)[name = string(\"mul_1133\")];\n tensor pow_1134 = pow(x=mul_1133, y=c_11)[name = string(\"pow_1134\")];\n tensor reduce_sum_1135 = reduce_sum(x=pow_1134, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_sum_1135\")];\n tensor mul_1136 = mul(x=reduce_sum_1135, y=c_14)[name = string(\"mul_1136\")];\n tensor pow_1137 = pow(x=real_div_1132, y=c_11)[name = string(\"pow_1137\")];\n tensor mul_1138 = mul(x=pow_1137, y=c_17)[name = string(\"mul_1138\")];\n tensor add_1139 = add(x=mul_1136, y=mul_1138)[name = string(\"add_1139\")];\n tensor rsqrt_1140 = rsqrt(x=add_1139, epsilon=c_20)[name = string(\"rsqrt_1140\")];\n tensor mul_1141 = mul(x=mul_1133, y=rsqrt_1140)[name = string(\"mul_1141\")];\n tensor mul_1142 = mul(x=mul_1141, y=norm_w_1128)[name = string(\"mul_1142\")];\n tensor w_gate_up_lut_1143 = const()[name = string(\"w_gate_up_lut_1143\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(799404928)))];\n tensor w_gate_up_1144 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(665711424))), lut = w_gate_up_lut_1143)[name = string(\"w_gate_up_1144\")];\n tensor conv_1145 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_gate_up_1144, x=mul_1142)[name = string(\"conv_1145\")];\n tensor slice_by_size_1146 = slice_by_size(x=conv_1145, begin=iv_28, size=iv_388)[name = string(\"slice_by_size_1146\")];\n tensor slice_by_size_1147 = slice_by_size(x=conv_1145, begin=iv_390, size=iv_388)[name = string(\"slice_by_size_1147\")];\n tensor mul_1148 = mul(x=slice_by_size_1146, y=c_47)[name = string(\"mul_1148\")];\n tensor exp_1149 = exp(x=mul_1148)[name = string(\"exp_1149\")];\n tensor add_1150 = add(x=exp_1149, y=c_8)[name = string(\"add_1150\")];\n tensor real_div_1151 = real_div(x=slice_by_size_1146, y=add_1150)[name = string(\"real_div_1151\")];\n tensor mul_1152 = mul(x=real_div_1151, y=slice_by_size_1147)[name = string(\"mul_1152\")];\n tensor abs_1153 = abs(x=mul_1152)[name = string(\"abs_1153\")];\n tensor reduce_max_1154 = reduce_max(x=abs_1153, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_1154\")];\n tensor maximum_1155 = maximum(x=reduce_max_1154, y=c_400)[name = string(\"maximum_1155\")];\n tensor real_div_1156 = real_div(x=c_399, y=maximum_1155)[name = string(\"real_div_1156\")];\n tensor mul_1157 = mul(x=mul_1152, y=real_div_1156)[name = string(\"mul_1157\")];\n tensor slice_by_size_1158 = slice_by_size(x=mul_1157, begin=iv_28, size=iv_404)[name = string(\"slice_by_size_1158\")];\n tensor w_down0_lut_1159 = const()[name = string(\"w_down0_lut_1159\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(816395264)))];\n tensor w_down0_1160 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(799683520))), lut = w_down0_lut_1159)[name = string(\"w_down0_1160\")];\n tensor conv_1161 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down0_1160, x=slice_by_size_1158)[name = string(\"conv_1161\")];\n tensor slice_by_size_1162 = slice_by_size(x=mul_1157, begin=iv_409, size=iv_404)[name = string(\"slice_by_size_1162\")];\n tensor w_down1_lut_1163 = const()[name = string(\"w_down1_lut_1163\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(833148032)))];\n tensor w_down1_1164 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(816436288))), lut = w_down1_lut_1163)[name = string(\"w_down1_1164\")];\n tensor conv_1165 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down1_1164, x=slice_by_size_1162)[name = string(\"conv_1165\")];\n tensor slice_by_size_1166 = slice_by_size(x=mul_1157, begin=iv_414, size=iv_404)[name = string(\"slice_by_size_1166\")];\n tensor w_down2_lut_1167 = const()[name = string(\"w_down2_lut_1167\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(849900800)))];\n tensor w_down2_1168 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(833189056))), lut = w_down2_lut_1167)[name = string(\"w_down2_1168\")];\n tensor conv_1169 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down2_1168, x=slice_by_size_1166)[name = string(\"conv_1169\")];\n tensor slice_by_size_1170 = slice_by_size(x=mul_1157, begin=iv_419, size=iv_404)[name = string(\"slice_by_size_1170\")];\n tensor w_down3_lut_1171 = const()[name = string(\"w_down3_lut_1171\"), val = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(866653568)))];\n tensor w_down3_1172 = constexpr_lut_to_dense(indices = tensor(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(849941824))), lut = w_down3_lut_1171)[name = string(\"w_down3_1172\")];\n tensor conv_1173 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down3_1172, x=slice_by_size_1170)[name = string(\"conv_1173\")];\n tensor add_1174 = add(x=conv_1161, y=conv_1165)[name = string(\"add_1174\")];\n tensor add_1175 = add(x=add_1174, y=conv_1169)[name = string(\"add_1175\")];\n tensor add_1176 = add(x=add_1175, y=conv_1173)[name = string(\"add_1176\")];\n tensor real_div_1177 = real_div(x=c_8, y=real_div_1156)[name = string(\"real_div_1177\")];\n tensor mul_1178 = mul(x=add_1176, y=real_div_1177)[name = string(\"mul_1178\")];\n tensor add_1179 = add(x=add_1127, y=mul_1178)[name = string(\"add_1179\")];\n tensor hid_out = identity(x=add_1179)[name = string(\"hid_out\")];\n tensor conv_out0 = identity(x=slice_by_size_43)[name = string(\"conv_out0\")];\n tensor rec_out0 = identity(x=add_340)[name = string(\"rec_out0\")];\n tensor conv_out1 = identity(x=slice_by_size_456)[name = string(\"conv_out1\")];\n tensor rec_out1 = identity(x=add_723)[name = string(\"rec_out1\")];\n tensor conv_out2 = identity(x=slice_by_size_831)[name = string(\"conv_out2\")];\n tensor rec_out2 = identity(x=add_1098)[name = string(\"rec_out2\")];\n } -> (hid_out, conv_out0, rec_out0, conv_out1, rec_out1, conv_out2, rec_out2);\n}\n","weight_file":"programs/00/block.bin","inputs":[{"name":"hid_in","shape":[1,5120,1,128],"dtype":"fp16"},{"name":"conv_in0","shape":[1,10240,1,3],"dtype":"fp16"},{"name":"rec_in0","shape":[1,48,128,128],"dtype":"fp16"},{"name":"conv_in1","shape":[1,10240,1,3],"dtype":"fp16"},{"name":"rec_in1","shape":[1,48,128,128],"dtype":"fp16"},{"name":"conv_in2","shape":[1,10240,1,3],"dtype":"fp16"},{"name":"rec_in2","shape":[1,48,128,128],"dtype":"fp16"}],"outputs":[{"name":"hid_out","shape":[1,5120,1,128],"dtype":"fp16"},{"name":"conv_out0","shape":[1,10240,1,3],"dtype":"fp16"},{"name":"rec_out0","shape":[1,48,128,128],"dtype":"fp16"},{"name":"conv_out1","shape":[1,10240,1,3],"dtype":"fp16"},{"name":"rec_out1","shape":[1,48,128,128],"dtype":"fp16"},{"name":"conv_out2","shape":[1,10240,1,3],"dtype":"fp16"},{"name":"rec_out2","shape":[1,48,128,128],"dtype":"fp16"}]}