| {"format_version":1,"text":"program(1.3)\n[buildInfo = dict<string, string>({{\"coremlc-component-MIL\", \"3510.2.1\"}, {\"coremlc-version\", \"3505.4.1\"}, {\"coremltools-component-milinternal\", \"\"}, {\"coremltools-version\", \"9.0\"}})]\n{\n func main<ios18>(tensor<fp16, [1, 5120, 1, 128]> hid_in, tensor<fp16, [1, 10240, 1, 3]> conv_in0, tensor<fp16, [1, 48, 128, 128]> rec_in0, tensor<fp16, [1, 10240, 1, 3]> conv_in1, tensor<fp16, [1, 48, 128, 128]> rec_in1, tensor<fp16, [1, 10240, 1, 3]> conv_in2, tensor<fp16, [1, 48, 128, 128]> rec_in2) {\n tensor<fp16, [1, 5120, 1, 1]> norm_w_1 = const()[name = string(\"norm_w_1\"), val = tensor<fp16, [1, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(64)))];\n tensor<fp16, [1, 5120, 1, 128]> abs_2 = abs(x=hid_in)[name = string(\"abs_2\")];\n tensor<int32, [1]> iv_3 = const()[name = string(\"iv_3\"), val = tensor<int32, [1]>([1])];\n bool b_4 = const()[name = string(\"b_4\"), val = bool(true)];\n tensor<fp16, [1, 1, 1, 128]> 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<fp16, [1, 1, 1, 128]> 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<fp16, [1, 1, 1, 128]> real_div_9 = real_div(x=c_8, y=maximum_7)[name = string(\"real_div_9\")];\n tensor<fp16, [1, 5120, 1, 128]> 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<fp16, [1, 5120, 1, 128]> pow_12 = pow(x=mul_10, y=c_11)[name = string(\"pow_12\")];\n tensor<fp16, [1, 1, 1, 128]> 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<fp16, [1, 1, 1, 128]> mul_15 = mul(x=reduce_sum_13, y=c_14)[name = string(\"mul_15\")];\n tensor<fp16, [1, 1, 1, 128]> 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<fp16, [1, 1, 1, 128]> mul_18 = mul(x=pow_16, y=c_17)[name = string(\"mul_18\")];\n tensor<fp16, [1, 1, 1, 128]> 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<fp16, [1, 1, 1, 128]> rsqrt_21 = rsqrt(x=add_19, epsilon=c_20)[name = string(\"rsqrt_21\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_22 = mul(x=mul_10, y=rsqrt_21)[name = string(\"mul_22\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_23 = mul(x=mul_22, y=norm_w_1)[name = string(\"mul_23\")];\n tensor<fp16, [2176, 1, 1, 1, 64, 1]> w_gate_up_lut_24 = const()[name = string(\"w_gate_up_lut_24\"), val = tensor<fp16, [2176, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(133703872)))];\n tensor<fp16, [34816, 5120, 1, 1]> w_gate_up_25 = constexpr_lut_to_dense(indices = tensor<uint6, [34816, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(10368))), lut = w_gate_up_lut_24)[name = string(\"w_gate_up_25\")];\n tensor<int32, [2]> iv_26 = const()[name = string(\"iv_26\"), val = tensor<int32, [2]>([1, 1])];\n int32 i_27 = const()[name = string(\"i_27\"), val = int32(1)];\n tensor<int32, [4]> iv_28 = const()[name = string(\"iv_28\"), val = tensor<int32, [4]>([0, 0, 0, 0])];\n string str_29 = const()[name = string(\"str_29\"), val = string(\"valid\")];\n tensor<fp16, [1, 34816, 1, 128]> conv_30 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_gate_up_25, x=mul_23)[name = string(\"conv_30\")];\n tensor<int32, [4]> iv_31 = const()[name = string(\"iv_31\"), val = tensor<int32, [4]>([1, 17408, 1, 128])];\n tensor<fp16, [1, 17408, 1, 128]> slice_by_size_32 = slice_by_size(x=conv_30, begin=iv_28, size=iv_31)[name = string(\"slice_by_size_32\")];\n tensor<int32, [4]> iv_33 = const()[name = string(\"iv_33\"), val = tensor<int32, [4]>([0, 17408, 0, 0])];\n tensor<fp16, [1, 17408, 1, 128]> slice_by_size_34 = slice_by_size(x=conv_30, begin=iv_33, size=iv_31)[name = string(\"slice_by_size_34\")];\n fp16 c_35 = const()[name = string(\"c_35\"), val = fp16(-1.000000000000)];\n tensor<fp16, [1, 17408, 1, 128]> mul_36 = mul(x=slice_by_size_32, y=c_35)[name = string(\"mul_36\")];\n tensor<fp16, [1, 17408, 1, 128]> exp_37 = exp(x=mul_36)[name = string(\"exp_37\")];\n tensor<fp16, [1, 17408, 1, 128]> add_38 = add(x=exp_37, y=c_8)[name = string(\"add_38\")];\n tensor<fp16, [1, 17408, 1, 128]> real_div_39 = real_div(x=slice_by_size_32, y=add_38)[name = string(\"real_div_39\")];\n tensor<fp16, [1, 17408, 1, 128]> mul_40 = mul(x=real_div_39, y=slice_by_size_34)[name = string(\"mul_40\")];\n tensor<fp16, [1, 17408, 1, 128]> abs_41 = abs(x=mul_40)[name = string(\"abs_41\")];\n tensor<fp16, [1, 1, 1, 128]> reduce_max_42 = reduce_max(x=abs_41, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_42\")];\n fp16 c_43 = const()[name = string(\"c_43\"), val = fp16(4096.000000000000)];\n fp16 c_44 = const()[name = string(\"c_44\"), val = fp16(256.000000000000)];\n tensor<fp16, [1, 1, 1, 128]> maximum_45 = maximum(x=reduce_max_42, y=c_44)[name = string(\"maximum_45\")];\n tensor<fp16, [1, 1, 1, 128]> real_div_46 = real_div(x=c_43, y=maximum_45)[name = string(\"real_div_46\")];\n tensor<fp16, [1, 17408, 1, 128]> mul_47 = mul(x=mul_40, y=real_div_46)[name = string(\"mul_47\")];\n tensor<int32, [4]> iv_48 = const()[name = string(\"iv_48\"), val = tensor<int32, [4]>([1, 4352, 1, 128])];\n tensor<fp16, [1, 4352, 1, 128]> slice_by_size_49 = slice_by_size(x=mul_47, begin=iv_28, size=iv_48)[name = string(\"slice_by_size_49\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_down0_lut_50 = const()[name = string(\"w_down0_lut_50\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(150694208)))];\n tensor<fp16, [5120, 4352, 1, 1]> w_down0_51 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 4352, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(133982464))), lut = w_down0_lut_50)[name = string(\"w_down0_51\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_52 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down0_51, x=slice_by_size_49)[name = string(\"conv_52\")];\n tensor<int32, [4]> iv_53 = const()[name = string(\"iv_53\"), val = tensor<int32, [4]>([0, 4352, 0, 0])];\n tensor<fp16, [1, 4352, 1, 128]> slice_by_size_54 = slice_by_size(x=mul_47, begin=iv_53, size=iv_48)[name = string(\"slice_by_size_54\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_down1_lut_55 = const()[name = string(\"w_down1_lut_55\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(167446976)))];\n tensor<fp16, [5120, 4352, 1, 1]> w_down1_56 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 4352, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(150735232))), lut = w_down1_lut_55)[name = string(\"w_down1_56\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_57 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down1_56, x=slice_by_size_54)[name = string(\"conv_57\")];\n tensor<int32, [4]> iv_58 = const()[name = string(\"iv_58\"), val = tensor<int32, [4]>([0, 8704, 0, 0])];\n tensor<fp16, [1, 4352, 1, 128]> slice_by_size_59 = slice_by_size(x=mul_47, begin=iv_58, size=iv_48)[name = string(\"slice_by_size_59\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_down2_lut_60 = const()[name = string(\"w_down2_lut_60\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(184199744)))];\n tensor<fp16, [5120, 4352, 1, 1]> w_down2_61 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 4352, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(167488000))), lut = w_down2_lut_60)[name = string(\"w_down2_61\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_62 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down2_61, x=slice_by_size_59)[name = string(\"conv_62\")];\n tensor<int32, [4]> iv_63 = const()[name = string(\"iv_63\"), val = tensor<int32, [4]>([0, 13056, 0, 0])];\n tensor<fp16, [1, 4352, 1, 128]> slice_by_size_64 = slice_by_size(x=mul_47, begin=iv_63, size=iv_48)[name = string(\"slice_by_size_64\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_down3_lut_65 = const()[name = string(\"w_down3_lut_65\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(200952512)))];\n tensor<fp16, [5120, 4352, 1, 1]> w_down3_66 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 4352, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(184240768))), lut = w_down3_lut_65)[name = string(\"w_down3_66\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_67 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down3_66, x=slice_by_size_64)[name = string(\"conv_67\")];\n tensor<fp16, [1, 5120, 1, 128]> add_68 = add(x=conv_52, y=conv_57)[name = string(\"add_68\")];\n tensor<fp16, [1, 5120, 1, 128]> add_69 = add(x=add_68, y=conv_62)[name = string(\"add_69\")];\n tensor<fp16, [1, 5120, 1, 128]> add_70 = add(x=add_69, y=conv_67)[name = string(\"add_70\")];\n tensor<fp16, [1, 1, 1, 128]> real_div_71 = real_div(x=c_8, y=real_div_46)[name = string(\"real_div_71\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_72 = mul(x=add_70, y=real_div_71)[name = string(\"mul_72\")];\n tensor<fp16, [1, 5120, 1, 128]> add_73 = add(x=hid_in, y=mul_72)[name = string(\"add_73\")];\n tensor<fp16, [1, 5120, 1, 1]> norm_w_74 = const()[name = string(\"norm_w_74\"), val = tensor<fp16, [1, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(200993536)))];\n tensor<fp16, [1, 5120, 1, 128]> abs_75 = abs(x=add_73)[name = string(\"abs_75\")];\n tensor<fp16, [1, 1, 1, 128]> reduce_max_76 = reduce_max(x=abs_75, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_76\")];\n tensor<fp16, [1, 1, 1, 128]> maximum_77 = maximum(x=reduce_max_76, y=c_6)[name = string(\"maximum_77\")];\n tensor<fp16, [1, 1, 1, 128]> real_div_78 = real_div(x=c_8, y=maximum_77)[name = string(\"real_div_78\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_79 = mul(x=add_73, y=real_div_78)[name = string(\"mul_79\")];\n tensor<fp16, [1, 5120, 1, 128]> pow_80 = pow(x=mul_79, y=c_11)[name = string(\"pow_80\")];\n tensor<fp16, [1, 1, 1, 128]> reduce_sum_81 = reduce_sum(x=pow_80, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_sum_81\")];\n tensor<fp16, [1, 1, 1, 128]> mul_82 = mul(x=reduce_sum_81, y=c_14)[name = string(\"mul_82\")];\n tensor<fp16, [1, 1, 1, 128]> pow_83 = pow(x=real_div_78, y=c_11)[name = string(\"pow_83\")];\n tensor<fp16, [1, 1, 1, 128]> mul_84 = mul(x=pow_83, y=c_17)[name = string(\"mul_84\")];\n tensor<fp16, [1, 1, 1, 128]> add_85 = add(x=mul_82, y=mul_84)[name = string(\"add_85\")];\n tensor<fp16, [1, 1, 1, 128]> rsqrt_86 = rsqrt(x=add_85, epsilon=c_20)[name = string(\"rsqrt_86\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_87 = mul(x=mul_79, y=rsqrt_86)[name = string(\"mul_87\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_88 = mul(x=mul_87, y=norm_w_74)[name = string(\"mul_88\")];\n tensor<fp16, [640, 1, 1, 1, 64, 1]> w_qkv_lut_89 = const()[name = string(\"w_qkv_lut_89\"), val = tensor<fp16, [640, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(240325504)))];\n tensor<fp16, [10240, 5120, 1, 1]> w_qkv_90 = constexpr_lut_to_dense(indices = tensor<uint6, [10240, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(201003840))), lut = w_qkv_lut_89)[name = string(\"w_qkv_90\")];\n tensor<fp16, [1, 10240, 1, 128]> conv_91 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_qkv_90, x=mul_88)[name = string(\"conv_91\")];\n tensor<fp16, [384, 1, 1, 1, 64, 1]> w_z_lut_92 = const()[name = string(\"w_z_lut_92\"), val = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(264000512)))];\n tensor<fp16, [6144, 5120, 1, 1]> w_z_93 = constexpr_lut_to_dense(indices = tensor<uint6, [6144, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(240407488))), lut = w_z_lut_92)[name = string(\"w_z_93\")];\n tensor<fp16, [1, 6144, 1, 128]> conv_94 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_z_93, x=mul_88)[name = string(\"conv_94\")];\n tensor<fp16, [48, 5120, 1, 1]> w_b_95 = const()[name = string(\"w_b_95\"), val = tensor<fp16, [48, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(264049728)))];\n tensor<fp16, [1, 48, 1, 128]> conv_96 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_b_95, x=mul_88)[name = string(\"conv_96\")];\n tensor<fp16, [48, 5120, 1, 1]> w_a_97 = const()[name = string(\"w_a_97\"), val = tensor<fp16, [48, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(264541312)))];\n tensor<fp16, [1, 48, 1, 128]> conv_98 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_a_97, x=mul_88)[name = string(\"conv_98\")];\n int32 i_99 = const()[name = string(\"i_99\"), val = int32(3)];\n bool b_100 = const()[name = string(\"b_100\"), val = bool(false)];\n tensor<fp16, [1, 10240, 1, 131]> concat_101 = concat(axis=i_99, interleave=b_100, values=(conv_in0, conv_91))[name = string(\"concat_101\")];\n tensor<int32, [4]> iv_102 = const()[name = string(\"iv_102\"), val = tensor<int32, [4]>([0, 0, 0, 128])];\n tensor<int32, [4]> iv_103 = const()[name = string(\"iv_103\"), val = tensor<int32, [4]>([1, 10240, 1, 3])];\n tensor<fp16, [1, 10240, 1, 3]> slice_by_size_104 = slice_by_size(x=concat_101, begin=iv_102, size=iv_103)[name = string(\"slice_by_size_104\")];\n tensor<fp16, [10240, 1, 1, 4]> w_conv_105 = const()[name = string(\"w_conv_105\"), val = tensor<fp16, [10240, 1, 1, 4]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265032896)))];\n int32 i_106 = const()[name = string(\"i_106\"), val = int32(10240)];\n tensor<fp16, [1, 10240, 1, 128]> conv_107 = conv(dilations=iv_26, groups=i_106, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_conv_105, x=concat_101)[name = string(\"conv_107\")];\n tensor<fp16, [1, 10240, 1, 128]> mul_108 = mul(x=conv_107, y=c_35)[name = string(\"mul_108\")];\n tensor<fp16, [1, 10240, 1, 128]> exp_109 = exp(x=mul_108)[name = string(\"exp_109\")];\n tensor<fp16, [1, 10240, 1, 128]> add_110 = add(x=exp_109, y=c_8)[name = string(\"add_110\")];\n tensor<fp16, [1, 10240, 1, 128]> real_div_111 = real_div(x=conv_107, y=add_110)[name = string(\"real_div_111\")];\n tensor<int32, [4]> iv_112 = const()[name = string(\"iv_112\"), val = tensor<int32, [4]>([1, 2048, 1, 128])];\n tensor<fp16, [1, 2048, 1, 128]> slice_by_size_113 = slice_by_size(x=real_div_111, begin=iv_28, size=iv_112)[name = string(\"slice_by_size_113\")];\n tensor<int32, [4]> iv_114 = const()[name = string(\"iv_114\"), val = tensor<int32, [4]>([1, 16, 128, 128])];\n tensor<fp16, [1, 16, 128, 128]> reshape_115 = reshape(shape=iv_114, x=slice_by_size_113)[name = string(\"reshape_115\")];\n tensor<int32, [4]> iv_116 = const()[name = string(\"iv_116\"), val = tensor<int32, [4]>([0, 1, 3, 2])];\n tensor<fp16, [1, 16, 128, 128]> transpose_117 = transpose(perm=iv_116, x=reshape_115)[name = string(\"transpose_117\")];\n tensor<int32, [4]> iv_118 = const()[name = string(\"iv_118\"), val = tensor<int32, [4]>([0, 2048, 0, 0])];\n tensor<fp16, [1, 2048, 1, 128]> slice_by_size_119 = slice_by_size(x=real_div_111, begin=iv_118, size=iv_112)[name = string(\"slice_by_size_119\")];\n tensor<fp16, [1, 16, 128, 128]> reshape_120 = reshape(shape=iv_114, x=slice_by_size_119)[name = string(\"reshape_120\")];\n tensor<fp16, [1, 16, 128, 128]> transpose_121 = transpose(perm=iv_116, x=reshape_120)[name = string(\"transpose_121\")];\n tensor<int32, [4]> iv_122 = const()[name = string(\"iv_122\"), val = tensor<int32, [4]>([0, 4096, 0, 0])];\n tensor<int32, [4]> iv_123 = const()[name = string(\"iv_123\"), val = tensor<int32, [4]>([1, 6144, 1, 128])];\n tensor<fp16, [1, 6144, 1, 128]> slice_by_size_124 = slice_by_size(x=real_div_111, begin=iv_122, size=iv_123)[name = string(\"slice_by_size_124\")];\n tensor<int32, [4]> iv_125 = const()[name = string(\"iv_125\"), val = tensor<int32, [4]>([1, 48, 128, 128])];\n tensor<fp16, [1, 48, 128, 128]> reshape_126 = reshape(shape=iv_125, x=slice_by_size_124)[name = string(\"reshape_126\")];\n tensor<fp16, [1, 48, 128, 128]> transpose_127 = transpose(perm=iv_116, x=reshape_126)[name = string(\"transpose_127\")];\n tensor<fp16, [1, 16, 128, 128]> pow_128 = pow(x=transpose_117, y=c_11)[name = string(\"pow_128\")];\n tensor<int32, [1]> iv_129 = const()[name = string(\"iv_129\"), val = tensor<int32, [1]>([3])];\n tensor<fp16, [1, 16, 128, 1]> reduce_sum_130 = reduce_sum(x=pow_128, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_sum_130\")];\n tensor<fp16, [1, 16, 128, 1]> rsqrt_131 = rsqrt(x=reduce_sum_130, epsilon=c_17)[name = string(\"rsqrt_131\")];\n tensor<fp16, [1, 16, 128, 128]> mul_132 = mul(x=transpose_117, y=rsqrt_131)[name = string(\"mul_132\")];\n tensor<int32, [4]> iv_133 = const()[name = string(\"iv_133\"), val = tensor<int32, [4]>([1, 16, 1, 16384])];\n tensor<fp16, [1, 16, 1, 16384]> reshape_134 = reshape(shape=iv_133, x=mul_132)[name = string(\"reshape_134\")];\n int32 i_135 = const()[name = string(\"i_135\"), val = int32(2)];\n tensor<fp16, [1, 16, 3, 16384]> concat_136 = concat(axis=i_135, interleave=b_100, values=(reshape_134, reshape_134, reshape_134))[name = string(\"concat_136\")];\n tensor<fp16, [1, 48, 128, 128]> reshape_137 = reshape(shape=iv_125, x=concat_136)[name = string(\"reshape_137\")];\n tensor<fp16, [1, 16, 128, 128]> pow_138 = pow(x=transpose_121, y=c_11)[name = string(\"pow_138\")];\n tensor<fp16, [1, 16, 128, 1]> reduce_sum_139 = reduce_sum(x=pow_138, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_sum_139\")];\n tensor<fp16, [1, 16, 128, 1]> rsqrt_140 = rsqrt(x=reduce_sum_139, epsilon=c_17)[name = string(\"rsqrt_140\")];\n tensor<fp16, [1, 16, 128, 128]> mul_141 = mul(x=transpose_121, y=rsqrt_140)[name = string(\"mul_141\")];\n tensor<fp16, [1, 16, 1, 16384]> reshape_142 = reshape(shape=iv_133, x=mul_141)[name = string(\"reshape_142\")];\n tensor<fp16, [1, 16, 3, 16384]> concat_143 = concat(axis=i_135, interleave=b_100, values=(reshape_142, reshape_142, reshape_142))[name = string(\"concat_143\")];\n tensor<fp16, [1, 48, 128, 128]> reshape_144 = reshape(shape=iv_125, x=concat_143)[name = string(\"reshape_144\")];\n tensor<fp16, [1, 48, 1, 128]> mul_145 = mul(x=conv_96, y=c_35)[name = string(\"mul_145\")];\n tensor<fp16, [1, 48, 1, 128]> exp_146 = exp(x=mul_145)[name = string(\"exp_146\")];\n tensor<fp16, [1, 48, 1, 128]> add_147 = add(x=exp_146, y=c_8)[name = string(\"add_147\")];\n tensor<fp16, [1, 48, 1, 128]> real_div_148 = real_div(x=c_8, y=add_147)[name = string(\"real_div_148\")];\n tensor<fp16, [1, 48, 128, 1]> transpose_149 = transpose(perm=iv_116, x=real_div_148)[name = string(\"transpose_149\")];\n tensor<fp16, [1, 48, 1, 1]> dt_bias_150 = const()[name = string(\"dt_bias_150\"), val = tensor<fp16, [1, 48, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265114880)))];\n tensor<fp16, [1, 48, 1, 1]> neg_a_151 = const()[name = string(\"neg_a_151\"), val = tensor<fp16, [1, 48, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265115072)))];\n tensor<fp16, [1, 48, 1, 128]> add_152 = add(x=conv_98, y=dt_bias_150)[name = string(\"add_152\")];\n fp16 c_153 = const()[name = string(\"c_153\"), val = fp16(-2.000000000000)];\n tensor<fp16, [1, 48, 1, 128]> minimum_154 = minimum(x=add_152, y=c_153)[name = string(\"minimum_154\")];\n tensor<fp16, [1, 48, 1, 128]> exp_155 = exp(x=minimum_154)[name = string(\"exp_155\")];\n fp16 c_156 = const()[name = string(\"c_156\"), val = fp16(0.250000000000)];\n tensor<fp16, [1, 48, 1, 128]> mul_157 = mul(x=exp_155, y=c_156)[name = string(\"mul_157\")];\n tensor<fp16, [1, 48, 1, 128]> mul_158 = mul(x=mul_157, y=c_35)[name = string(\"mul_158\")];\n fp16 c_159 = const()[name = string(\"c_159\"), val = fp16(0.333333333000)];\n tensor<fp16, [1, 48, 1, 128]> add_160 = add(x=mul_158, y=c_159)[name = string(\"add_160\")];\n tensor<fp16, [1, 48, 1, 128]> mul_161 = mul(x=exp_155, y=add_160)[name = string(\"mul_161\")];\n tensor<fp16, [1, 48, 1, 128]> mul_162 = mul(x=mul_161, y=c_35)[name = string(\"mul_162\")];\n fp16 c_163 = const()[name = string(\"c_163\"), val = fp16(0.500000000000)];\n tensor<fp16, [1, 48, 1, 128]> add_164 = add(x=mul_162, y=c_163)[name = string(\"add_164\")];\n tensor<fp16, [1, 48, 1, 128]> mul_165 = mul(x=exp_155, y=add_164)[name = string(\"mul_165\")];\n tensor<fp16, [1, 48, 1, 128]> mul_166 = mul(x=mul_165, y=c_35)[name = string(\"mul_166\")];\n tensor<fp16, [1, 48, 1, 128]> add_167 = add(x=mul_166, y=c_8)[name = string(\"add_167\")];\n tensor<fp16, [1, 48, 1, 128]> mul_168 = mul(x=exp_155, y=add_167)[name = string(\"mul_168\")];\n fp16 c_169 = const()[name = string(\"c_169\"), val = fp16(8.000000000000)];\n tensor<fp16, [1, 48, 1, 128]> minimum_170 = minimum(x=add_152, y=c_169)[name = string(\"minimum_170\")];\n tensor<fp16, [1, 48, 1, 128]> maximum_171 = maximum(x=minimum_170, y=c_153)[name = string(\"maximum_171\")];\n tensor<fp16, [1, 48, 1, 128]> softplus_172 = softplus(x=maximum_171)[name = string(\"softplus_172\")];\n tensor<fp16, [1, 48, 1, 128]> sub_173 = sub(x=add_152, y=c_169)[name = string(\"sub_173\")];\n tensor<fp16, [1, 48, 1, 128]> maximum_174 = maximum(x=sub_173, y=c_20)[name = string(\"maximum_174\")];\n tensor<fp16, [1, 48, 1, 128]> add_175 = add(x=softplus_172, y=maximum_174)[name = string(\"add_175\")];\n tensor<fp16, [1, 48, 1, 128]> mul_176 = mul(x=add_152, y=c_35)[name = string(\"mul_176\")];\n tensor<fp16, [1, 48, 1, 128]> add_177 = add(x=mul_176, y=c_153)[name = string(\"add_177\")];\n fp16 c_178 = const()[name = string(\"c_178\"), val = fp16(64.000000000000)];\n tensor<fp16, [1, 48, 1, 128]> mul_179 = mul(x=add_177, y=c_178)[name = string(\"mul_179\")];\n tensor<fp16, [1, 48, 1, 128]> maximum_180 = maximum(x=mul_179, y=c_20)[name = string(\"maximum_180\")];\n tensor<fp16, [1, 48, 1, 128]> minimum_181 = minimum(x=maximum_180, y=c_8)[name = string(\"minimum_181\")];\n tensor<fp16, [1, 48, 1, 128]> mul_182 = mul(x=minimum_181, y=mul_168)[name = string(\"mul_182\")];\n tensor<fp16, [1, 48, 1, 128]> mul_183 = mul(x=minimum_181, y=c_35)[name = string(\"mul_183\")];\n tensor<fp16, [1, 48, 1, 128]> add_184 = add(x=mul_183, y=c_8)[name = string(\"add_184\")];\n tensor<fp16, [1, 48, 1, 128]> mul_185 = mul(x=add_184, y=add_175)[name = string(\"mul_185\")];\n tensor<fp16, [1, 48, 1, 128]> add_186 = add(x=mul_182, y=mul_185)[name = string(\"add_186\")];\n tensor<fp16, [1, 48, 1, 128]> mul_187 = mul(x=add_186, y=neg_a_151)[name = string(\"mul_187\")];\n tensor<fp16, [1, 48, 128, 1]> transpose_188 = transpose(perm=iv_116, x=mul_187)[name = string(\"transpose_188\")];\n tensor<int32, [4]> iv_189 = const()[name = string(\"iv_189\"), val = tensor<int32, [4]>([1, 48, 64, 128])];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_190 = slice_by_size(x=reshape_137, begin=iv_28, size=iv_189)[name = string(\"slice_by_size_190\")];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_191 = slice_by_size(x=reshape_144, begin=iv_28, size=iv_189)[name = string(\"slice_by_size_191\")];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_192 = slice_by_size(x=transpose_127, begin=iv_28, size=iv_189)[name = string(\"slice_by_size_192\")];\n tensor<int32, [4]> iv_193 = const()[name = string(\"iv_193\"), val = tensor<int32, [4]>([1, 48, 64, 1])];\n tensor<fp16, [1, 48, 64, 1]> slice_by_size_194 = slice_by_size(x=transpose_149, begin=iv_28, size=iv_193)[name = string(\"slice_by_size_194\")];\n tensor<fp16, [1, 48, 64, 1]> slice_by_size_195 = slice_by_size(x=transpose_188, begin=iv_28, size=iv_193)[name = string(\"slice_by_size_195\")];\n tensor<fp16, [1, 1, 64, 64]> tril_196 = const()[name = string(\"tril_196\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265115264)))];\n tensor<fp16, [1, 1, 64, 64]> tril_strict_197 = const()[name = string(\"tril_strict_197\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265123520)))];\n fp16 c_198 = const()[name = string(\"c_198\"), val = fp16(16.000000000000)];\n tensor<fp16, [1, 48, 64, 128]> mul_199 = mul(x=slice_by_size_190, y=c_198)[name = string(\"mul_199\")];\n tensor<fp16, [1, 48, 64, 128]> mul_200 = mul(x=slice_by_size_191, y=c_198)[name = string(\"mul_200\")];\n tensor<fp16, [1, 48, 64, 128]> mul_201 = mul(x=mul_200, y=slice_by_size_194)[name = string(\"mul_201\")];\n tensor<fp16, [1, 48, 64, 128]> mul_202 = mul(x=slice_by_size_192, y=slice_by_size_194)[name = string(\"mul_202\")];\n tensor<fp16, [1, 48, 64, 128]> abs_203 = abs(x=mul_202)[name = string(\"abs_203\")];\n tensor<fp16, [1, 48, 64, 1]> reduce_max_204 = reduce_max(x=abs_203, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_max_204\")];\n tensor<int32, [1]> iv_205 = const()[name = string(\"iv_205\"), val = tensor<int32, [1]>([2])];\n tensor<fp16, [1, 48, 1, 1]> reduce_max_206 = reduce_max(x=reduce_max_204, axes=iv_205, keep_dims=b_4)[name = string(\"reduce_max_206\")];\n fp16 c_207 = const()[name = string(\"c_207\"), val = fp16(0.015625000000)];\n tensor<fp16, [1, 48, 1, 1]> maximum_208 = maximum(x=reduce_max_206, y=c_207)[name = string(\"maximum_208\")];\n tensor<fp16, [1, 48, 1, 1]> real_div_209 = real_div(x=c_8, y=maximum_208)[name = string(\"real_div_209\")];\n tensor<fp16, [1, 48, 1, 1]> mul_210 = mul(x=real_div_209, y=c_169)[name = string(\"mul_210\")];\n tensor<fp16, [1, 48, 64, 128]> mul_211 = mul(x=mul_202, y=mul_210)[name = string(\"mul_211\")];\n tensor<fp16, [1, 48, 64, 1]> matmul_212 = matmul(transpose_x=b_100, transpose_y=b_100, x=tril_196, y=slice_by_size_195)[name = string(\"matmul_212\")];\n tensor<fp16, [1, 48, 1, 64]> transpose_213 = transpose(perm=iv_116, x=matmul_212)[name = string(\"transpose_213\")];\n tensor<fp16, [1, 48, 64, 64]> sub_214 = sub(x=matmul_212, y=transpose_213)[name = string(\"sub_214\")];\n tensor<fp16, [1, 48, 64, 64]> mul_215 = mul(x=sub_214, y=tril_196)[name = string(\"mul_215\")];\n tensor<fp16, [1, 48, 64, 64]> exp_216 = exp(x=mul_215)[name = string(\"exp_216\")];\n tensor<fp16, [1, 48, 64, 64]> mul_217 = mul(x=exp_216, y=tril_196)[name = string(\"mul_217\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_218 = matmul(transpose_x=b_100, transpose_y=b_4, x=mul_201, y=mul_200)[name = string(\"matmul_218\")];\n fp16 c_219 = const()[name = string(\"c_219\"), val = fp16(0.003906250000)];\n tensor<fp16, [1, 48, 64, 64]> mul_220 = mul(x=matmul_218, y=c_219)[name = string(\"mul_220\")];\n tensor<fp16, [1, 48, 64, 64]> mul_221 = mul(x=mul_220, y=mul_217)[name = string(\"mul_221\")];\n tensor<fp16, [1, 48, 64, 64]> mul_222 = mul(x=mul_221, y=tril_strict_197)[name = string(\"mul_222\")];\n tensor<fp16, [1, 1, 64, 64]> eye_223 = const()[name = string(\"eye_223\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265131776)))];\n tensor<fp16, [1, 1, 64, 64]> merge0_224 = const()[name = string(\"merge0_224\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265140032)))];\n tensor<fp16, [1, 48, 64, 64]> mul_225 = mul(x=mul_222, y=merge0_224)[name = string(\"mul_225\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_226 = matmul(transpose_x=b_100, transpose_y=b_100, x=eye_223, y=mul_225)[name = string(\"matmul_226\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_227 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_226, y=eye_223)[name = string(\"matmul_227\")];\n tensor<fp16, [1, 48, 64, 64]> sub_228 = sub(x=eye_223, y=matmul_227)[name = string(\"sub_228\")];\n tensor<fp16, [1, 1, 64, 64]> merge1_229 = const()[name = string(\"merge1_229\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265148288)))];\n tensor<fp16, [1, 48, 64, 64]> mul_230 = mul(x=mul_222, y=merge1_229)[name = string(\"mul_230\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_231 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_228, y=mul_230)[name = string(\"matmul_231\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_232 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_231, y=sub_228)[name = string(\"matmul_232\")];\n tensor<fp16, [1, 48, 64, 64]> sub_233 = sub(x=sub_228, y=matmul_232)[name = string(\"sub_233\")];\n tensor<fp16, [1, 1, 64, 64]> merge2_234 = const()[name = string(\"merge2_234\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265156544)))];\n tensor<fp16, [1, 48, 64, 64]> mul_235 = mul(x=mul_222, y=merge2_234)[name = string(\"mul_235\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_236 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_233, y=mul_235)[name = string(\"matmul_236\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_237 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_236, y=sub_233)[name = string(\"matmul_237\")];\n tensor<fp16, [1, 48, 64, 64]> sub_238 = sub(x=sub_233, y=matmul_237)[name = string(\"sub_238\")];\n tensor<fp16, [1, 1, 64, 64]> merge3_239 = const()[name = string(\"merge3_239\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265164800)))];\n tensor<fp16, [1, 48, 64, 64]> mul_240 = mul(x=mul_222, y=merge3_239)[name = string(\"mul_240\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_241 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_238, y=mul_240)[name = string(\"matmul_241\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_242 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_241, y=sub_238)[name = string(\"matmul_242\")];\n tensor<fp16, [1, 48, 64, 64]> sub_243 = sub(x=sub_238, y=matmul_242)[name = string(\"sub_243\")];\n tensor<fp16, [1, 1, 64, 64]> merge4_244 = const()[name = string(\"merge4_244\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265173056)))];\n tensor<fp16, [1, 48, 64, 64]> mul_245 = mul(x=mul_222, y=merge4_244)[name = string(\"mul_245\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_246 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_243, y=mul_245)[name = string(\"matmul_246\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_247 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_246, y=sub_243)[name = string(\"matmul_247\")];\n tensor<fp16, [1, 48, 64, 64]> sub_248 = sub(x=sub_243, y=matmul_247)[name = string(\"sub_248\")];\n tensor<fp16, [1, 1, 64, 64]> merge5_249 = const()[name = string(\"merge5_249\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265181312)))];\n tensor<fp16, [1, 48, 64, 64]> mul_250 = mul(x=mul_222, y=merge5_249)[name = string(\"mul_250\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_251 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_248, y=mul_250)[name = string(\"matmul_251\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_252 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_251, y=sub_248)[name = string(\"matmul_252\")];\n tensor<fp16, [1, 48, 64, 64]> sub_253 = sub(x=sub_248, y=matmul_252)[name = string(\"sub_253\")];\n tensor<fp16, [1, 48, 64, 64]> add_254 = add(x=eye_223, y=mul_222)[name = string(\"add_254\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_255 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_254, y=sub_253)[name = string(\"matmul_255\")];\n tensor<fp16, [1, 48, 64, 64]> sub_256 = sub(x=eye_223, y=matmul_255)[name = string(\"sub_256\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_257 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_253, y=sub_256)[name = string(\"matmul_257\")];\n tensor<fp16, [1, 48, 64, 64]> add_258 = add(x=sub_253, y=matmul_257)[name = string(\"add_258\")];\n tensor<fp16, [1, 48, 64, 1]> exp_259 = exp(x=matmul_212)[name = string(\"exp_259\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_260 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_258, y=mul_211)[name = string(\"matmul_260\")];\n tensor<fp16, [1, 48, 64, 128]> mul_261 = mul(x=mul_201, y=exp_259)[name = string(\"mul_261\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_262 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_258, y=mul_261)[name = string(\"matmul_262\")];\n tensor<fp16, [1, 48, 128, 128]> abs_263 = abs(x=rec_in0)[name = string(\"abs_263\")];\n tensor<fp16, [1, 48, 128, 1]> reduce_max_264 = reduce_max(x=abs_263, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_max_264\")];\n tensor<fp16, [1, 48, 1, 1]> reduce_max_265 = reduce_max(x=reduce_max_264, axes=iv_205, keep_dims=b_4)[name = string(\"reduce_max_265\")];\n tensor<fp16, [1, 48, 1, 1]> maximum_266 = maximum(x=reduce_max_265, y=c_207)[name = string(\"maximum_266\")];\n tensor<fp16, [1, 48, 1, 1]> real_div_267 = real_div(x=c_8, y=maximum_266)[name = string(\"real_div_267\")];\n tensor<fp16, [1, 48, 128, 128]> mul_268 = mul(x=rec_in0, y=real_div_267)[name = string(\"mul_268\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_269 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_262, y=mul_268)[name = string(\"matmul_269\")];\n tensor<fp16, [1, 48, 1, 1]> mul_270 = mul(x=maximum_266, y=real_div_209)[name = string(\"mul_270\")];\n tensor<fp16, [1, 48, 1, 1]> mul_271 = mul(x=mul_270, y=c_163)[name = string(\"mul_271\")];\n tensor<fp16, [1, 48, 64, 128]> mul_272 = mul(x=matmul_269, y=mul_271)[name = string(\"mul_272\")];\n tensor<fp16, [1, 48, 64, 128]> sub_273 = sub(x=matmul_260, y=mul_272)[name = string(\"sub_273\")];\n tensor<fp16, [1, 48, 64, 128]> mul_274 = mul(x=mul_199, y=exp_259)[name = string(\"mul_274\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_275 = matmul(transpose_x=b_100, transpose_y=b_100, x=mul_274, y=mul_268)[name = string(\"matmul_275\")];\n fp16 c_276 = const()[name = string(\"c_276\"), val = fp16(0.005524271728)];\n tensor<fp16, [1, 48, 1, 1]> mul_277 = mul(x=maximum_266, y=c_276)[name = string(\"mul_277\")];\n tensor<fp16, [1, 48, 64, 128]> mul_278 = mul(x=matmul_275, y=mul_277)[name = string(\"mul_278\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_279 = matmul(transpose_x=b_100, transpose_y=b_4, x=mul_199, y=mul_200)[name = string(\"matmul_279\")];\n tensor<fp16, [1, 48, 64, 64]> mul_280 = mul(x=matmul_279, y=mul_217)[name = string(\"mul_280\")];\n tensor<fp16, [1, 48, 64, 64]> mul_281 = mul(x=mul_280, y=c_6)[name = string(\"mul_281\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_282 = matmul(transpose_x=b_100, transpose_y=b_100, x=mul_281, y=sub_273)[name = string(\"matmul_282\")];\n fp16 c_283 = const()[name = string(\"c_283\"), val = fp16(0.000690533966)];\n tensor<fp16, [1, 48, 1, 1]> mul_284 = mul(x=maximum_208, y=c_283)[name = string(\"mul_284\")];\n tensor<fp16, [1, 48, 64, 128]> mul_285 = mul(x=matmul_282, y=mul_284)[name = string(\"mul_285\")];\n tensor<fp16, [1, 48, 64, 128]> add_286 = add(x=mul_278, y=mul_285)[name = string(\"add_286\")];\n tensor<int32, [4]> iv_287 = const()[name = string(\"iv_287\"), val = tensor<int32, [4]>([0, 0, 63, 0])];\n tensor<int32, [4]> iv_288 = const()[name = string(\"iv_288\"), val = tensor<int32, [4]>([1, 48, 1, 1])];\n tensor<fp16, [1, 48, 1, 1]> slice_by_size_289 = slice_by_size(x=matmul_212, begin=iv_287, size=iv_288)[name = string(\"slice_by_size_289\")];\n tensor<fp16, [1, 48, 64, 1]> sub_290 = sub(x=slice_by_size_289, y=matmul_212)[name = string(\"sub_290\")];\n tensor<fp16, [1, 48, 64, 1]> exp_291 = exp(x=sub_290)[name = string(\"exp_291\")];\n tensor<fp16, [1, 48, 64, 128]> mul_292 = mul(x=mul_200, y=exp_291)[name = string(\"mul_292\")];\n tensor<fp16, [1, 48, 128, 128]> matmul_293 = matmul(transpose_x=b_4, transpose_y=b_100, x=mul_292, y=sub_273)[name = string(\"matmul_293\")];\n fp16 c_294 = const()[name = string(\"c_294\"), val = fp16(0.007812500000)];\n tensor<fp16, [1, 48, 1, 1]> mul_295 = mul(x=maximum_208, y=c_294)[name = string(\"mul_295\")];\n tensor<fp16, [1, 48, 128, 128]> mul_296 = mul(x=matmul_293, y=mul_295)[name = string(\"mul_296\")];\n tensor<fp16, [1, 48, 1, 1]> exp_297 = exp(x=slice_by_size_289)[name = string(\"exp_297\")];\n tensor<fp16, [1, 48, 128, 128]> mul_298 = mul(x=rec_in0, y=exp_297)[name = string(\"mul_298\")];\n tensor<fp16, [1, 48, 128, 128]> add_299 = add(x=mul_298, y=mul_296)[name = string(\"add_299\")];\n tensor<int32, [4]> iv_300 = const()[name = string(\"iv_300\"), val = tensor<int32, [4]>([0, 0, 64, 0])];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_301 = slice_by_size(x=reshape_137, begin=iv_300, size=iv_189)[name = string(\"slice_by_size_301\")];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_302 = slice_by_size(x=reshape_144, begin=iv_300, size=iv_189)[name = string(\"slice_by_size_302\")];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_303 = slice_by_size(x=transpose_127, begin=iv_300, size=iv_189)[name = string(\"slice_by_size_303\")];\n tensor<fp16, [1, 48, 64, 1]> slice_by_size_304 = slice_by_size(x=transpose_149, begin=iv_300, size=iv_193)[name = string(\"slice_by_size_304\")];\n tensor<fp16, [1, 48, 64, 1]> slice_by_size_305 = slice_by_size(x=transpose_188, begin=iv_300, size=iv_193)[name = string(\"slice_by_size_305\")];\n tensor<fp16, [1, 1, 64, 64]> tril_306 = const()[name = string(\"tril_306\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265189568)))];\n tensor<fp16, [1, 1, 64, 64]> tril_strict_307 = const()[name = string(\"tril_strict_307\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265197824)))];\n tensor<fp16, [1, 48, 64, 128]> mul_308 = mul(x=slice_by_size_301, y=c_198)[name = string(\"mul_308\")];\n tensor<fp16, [1, 48, 64, 128]> mul_309 = mul(x=slice_by_size_302, y=c_198)[name = string(\"mul_309\")];\n tensor<fp16, [1, 48, 64, 128]> mul_310 = mul(x=mul_309, y=slice_by_size_304)[name = string(\"mul_310\")];\n tensor<fp16, [1, 48, 64, 128]> mul_311 = mul(x=slice_by_size_303, y=slice_by_size_304)[name = string(\"mul_311\")];\n tensor<fp16, [1, 48, 64, 128]> abs_312 = abs(x=mul_311)[name = string(\"abs_312\")];\n tensor<fp16, [1, 48, 64, 1]> reduce_max_313 = reduce_max(x=abs_312, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_max_313\")];\n tensor<fp16, [1, 48, 1, 1]> reduce_max_314 = reduce_max(x=reduce_max_313, axes=iv_205, keep_dims=b_4)[name = string(\"reduce_max_314\")];\n tensor<fp16, [1, 48, 1, 1]> maximum_315 = maximum(x=reduce_max_314, y=c_207)[name = string(\"maximum_315\")];\n tensor<fp16, [1, 48, 1, 1]> real_div_316 = real_div(x=c_8, y=maximum_315)[name = string(\"real_div_316\")];\n tensor<fp16, [1, 48, 1, 1]> mul_317 = mul(x=real_div_316, y=c_169)[name = string(\"mul_317\")];\n tensor<fp16, [1, 48, 64, 128]> mul_318 = mul(x=mul_311, y=mul_317)[name = string(\"mul_318\")];\n tensor<fp16, [1, 48, 64, 1]> matmul_319 = matmul(transpose_x=b_100, transpose_y=b_100, x=tril_306, y=slice_by_size_305)[name = string(\"matmul_319\")];\n tensor<fp16, [1, 48, 1, 64]> transpose_320 = transpose(perm=iv_116, x=matmul_319)[name = string(\"transpose_320\")];\n tensor<fp16, [1, 48, 64, 64]> sub_321 = sub(x=matmul_319, y=transpose_320)[name = string(\"sub_321\")];\n tensor<fp16, [1, 48, 64, 64]> mul_322 = mul(x=sub_321, y=tril_306)[name = string(\"mul_322\")];\n tensor<fp16, [1, 48, 64, 64]> exp_323 = exp(x=mul_322)[name = string(\"exp_323\")];\n tensor<fp16, [1, 48, 64, 64]> mul_324 = mul(x=exp_323, y=tril_306)[name = string(\"mul_324\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_325 = matmul(transpose_x=b_100, transpose_y=b_4, x=mul_310, y=mul_309)[name = string(\"matmul_325\")];\n tensor<fp16, [1, 48, 64, 64]> mul_326 = mul(x=matmul_325, y=c_219)[name = string(\"mul_326\")];\n tensor<fp16, [1, 48, 64, 64]> mul_327 = mul(x=mul_326, y=mul_324)[name = string(\"mul_327\")];\n tensor<fp16, [1, 48, 64, 64]> mul_328 = mul(x=mul_327, y=tril_strict_307)[name = string(\"mul_328\")];\n tensor<fp16, [1, 1, 64, 64]> eye_329 = const()[name = string(\"eye_329\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265206080)))];\n tensor<fp16, [1, 1, 64, 64]> merge0_330 = const()[name = string(\"merge0_330\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265214336)))];\n tensor<fp16, [1, 48, 64, 64]> mul_331 = mul(x=mul_328, y=merge0_330)[name = string(\"mul_331\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_332 = matmul(transpose_x=b_100, transpose_y=b_100, x=eye_329, y=mul_331)[name = string(\"matmul_332\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_333 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_332, y=eye_329)[name = string(\"matmul_333\")];\n tensor<fp16, [1, 48, 64, 64]> sub_334 = sub(x=eye_329, y=matmul_333)[name = string(\"sub_334\")];\n tensor<fp16, [1, 1, 64, 64]> merge1_335 = const()[name = string(\"merge1_335\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265222592)))];\n tensor<fp16, [1, 48, 64, 64]> mul_336 = mul(x=mul_328, y=merge1_335)[name = string(\"mul_336\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_337 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_334, y=mul_336)[name = string(\"matmul_337\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_338 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_337, y=sub_334)[name = string(\"matmul_338\")];\n tensor<fp16, [1, 48, 64, 64]> sub_339 = sub(x=sub_334, y=matmul_338)[name = string(\"sub_339\")];\n tensor<fp16, [1, 1, 64, 64]> merge2_340 = const()[name = string(\"merge2_340\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265230848)))];\n tensor<fp16, [1, 48, 64, 64]> mul_341 = mul(x=mul_328, y=merge2_340)[name = string(\"mul_341\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_342 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_339, y=mul_341)[name = string(\"matmul_342\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_343 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_342, y=sub_339)[name = string(\"matmul_343\")];\n tensor<fp16, [1, 48, 64, 64]> sub_344 = sub(x=sub_339, y=matmul_343)[name = string(\"sub_344\")];\n tensor<fp16, [1, 1, 64, 64]> merge3_345 = const()[name = string(\"merge3_345\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265239104)))];\n tensor<fp16, [1, 48, 64, 64]> mul_346 = mul(x=mul_328, y=merge3_345)[name = string(\"mul_346\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_347 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_344, y=mul_346)[name = string(\"matmul_347\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_348 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_347, y=sub_344)[name = string(\"matmul_348\")];\n tensor<fp16, [1, 48, 64, 64]> sub_349 = sub(x=sub_344, y=matmul_348)[name = string(\"sub_349\")];\n tensor<fp16, [1, 1, 64, 64]> merge4_350 = const()[name = string(\"merge4_350\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265247360)))];\n tensor<fp16, [1, 48, 64, 64]> mul_351 = mul(x=mul_328, y=merge4_350)[name = string(\"mul_351\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_352 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_349, y=mul_351)[name = string(\"matmul_352\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_353 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_352, y=sub_349)[name = string(\"matmul_353\")];\n tensor<fp16, [1, 48, 64, 64]> sub_354 = sub(x=sub_349, y=matmul_353)[name = string(\"sub_354\")];\n tensor<fp16, [1, 1, 64, 64]> merge5_355 = const()[name = string(\"merge5_355\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265255616)))];\n tensor<fp16, [1, 48, 64, 64]> mul_356 = mul(x=mul_328, y=merge5_355)[name = string(\"mul_356\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_357 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_354, y=mul_356)[name = string(\"matmul_357\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_358 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_357, y=sub_354)[name = string(\"matmul_358\")];\n tensor<fp16, [1, 48, 64, 64]> sub_359 = sub(x=sub_354, y=matmul_358)[name = string(\"sub_359\")];\n tensor<fp16, [1, 48, 64, 64]> add_360 = add(x=eye_329, y=mul_328)[name = string(\"add_360\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_361 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_360, y=sub_359)[name = string(\"matmul_361\")];\n tensor<fp16, [1, 48, 64, 64]> sub_362 = sub(x=eye_329, y=matmul_361)[name = string(\"sub_362\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_363 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_359, y=sub_362)[name = string(\"matmul_363\")];\n tensor<fp16, [1, 48, 64, 64]> add_364 = add(x=sub_359, y=matmul_363)[name = string(\"add_364\")];\n tensor<fp16, [1, 48, 64, 1]> exp_365 = exp(x=matmul_319)[name = string(\"exp_365\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_366 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_364, y=mul_318)[name = string(\"matmul_366\")];\n tensor<fp16, [1, 48, 64, 128]> mul_367 = mul(x=mul_310, y=exp_365)[name = string(\"mul_367\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_368 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_364, y=mul_367)[name = string(\"matmul_368\")];\n tensor<fp16, [1, 48, 128, 128]> abs_369 = abs(x=add_299)[name = string(\"abs_369\")];\n tensor<fp16, [1, 48, 128, 1]> reduce_max_370 = reduce_max(x=abs_369, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_max_370\")];\n tensor<fp16, [1, 48, 1, 1]> reduce_max_371 = reduce_max(x=reduce_max_370, axes=iv_205, keep_dims=b_4)[name = string(\"reduce_max_371\")];\n tensor<fp16, [1, 48, 1, 1]> maximum_372 = maximum(x=reduce_max_371, y=c_207)[name = string(\"maximum_372\")];\n tensor<fp16, [1, 48, 1, 1]> real_div_373 = real_div(x=c_8, y=maximum_372)[name = string(\"real_div_373\")];\n tensor<fp16, [1, 48, 128, 128]> mul_374 = mul(x=add_299, y=real_div_373)[name = string(\"mul_374\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_375 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_368, y=mul_374)[name = string(\"matmul_375\")];\n tensor<fp16, [1, 48, 1, 1]> mul_376 = mul(x=maximum_372, y=real_div_316)[name = string(\"mul_376\")];\n tensor<fp16, [1, 48, 1, 1]> mul_377 = mul(x=mul_376, y=c_163)[name = string(\"mul_377\")];\n tensor<fp16, [1, 48, 64, 128]> mul_378 = mul(x=matmul_375, y=mul_377)[name = string(\"mul_378\")];\n tensor<fp16, [1, 48, 64, 128]> sub_379 = sub(x=matmul_366, y=mul_378)[name = string(\"sub_379\")];\n tensor<fp16, [1, 48, 64, 128]> mul_380 = mul(x=mul_308, y=exp_365)[name = string(\"mul_380\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_381 = matmul(transpose_x=b_100, transpose_y=b_100, x=mul_380, y=mul_374)[name = string(\"matmul_381\")];\n tensor<fp16, [1, 48, 1, 1]> mul_382 = mul(x=maximum_372, y=c_276)[name = string(\"mul_382\")];\n tensor<fp16, [1, 48, 64, 128]> mul_383 = mul(x=matmul_381, y=mul_382)[name = string(\"mul_383\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_384 = matmul(transpose_x=b_100, transpose_y=b_4, x=mul_308, y=mul_309)[name = string(\"matmul_384\")];\n tensor<fp16, [1, 48, 64, 64]> mul_385 = mul(x=matmul_384, y=mul_324)[name = string(\"mul_385\")];\n tensor<fp16, [1, 48, 64, 64]> mul_386 = mul(x=mul_385, y=c_6)[name = string(\"mul_386\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_387 = matmul(transpose_x=b_100, transpose_y=b_100, x=mul_386, y=sub_379)[name = string(\"matmul_387\")];\n tensor<fp16, [1, 48, 1, 1]> mul_388 = mul(x=maximum_315, y=c_283)[name = string(\"mul_388\")];\n tensor<fp16, [1, 48, 64, 128]> mul_389 = mul(x=matmul_387, y=mul_388)[name = string(\"mul_389\")];\n tensor<fp16, [1, 48, 64, 128]> add_390 = add(x=mul_383, y=mul_389)[name = string(\"add_390\")];\n tensor<fp16, [1, 48, 1, 1]> slice_by_size_391 = slice_by_size(x=matmul_319, begin=iv_287, size=iv_288)[name = string(\"slice_by_size_391\")];\n tensor<fp16, [1, 48, 64, 1]> sub_392 = sub(x=slice_by_size_391, y=matmul_319)[name = string(\"sub_392\")];\n tensor<fp16, [1, 48, 64, 1]> exp_393 = exp(x=sub_392)[name = string(\"exp_393\")];\n tensor<fp16, [1, 48, 64, 128]> mul_394 = mul(x=mul_309, y=exp_393)[name = string(\"mul_394\")];\n tensor<fp16, [1, 48, 128, 128]> matmul_395 = matmul(transpose_x=b_4, transpose_y=b_100, x=mul_394, y=sub_379)[name = string(\"matmul_395\")];\n tensor<fp16, [1, 48, 1, 1]> mul_396 = mul(x=maximum_315, y=c_294)[name = string(\"mul_396\")];\n tensor<fp16, [1, 48, 128, 128]> mul_397 = mul(x=matmul_395, y=mul_396)[name = string(\"mul_397\")];\n tensor<fp16, [1, 48, 1, 1]> exp_398 = exp(x=slice_by_size_391)[name = string(\"exp_398\")];\n tensor<fp16, [1, 48, 128, 128]> mul_399 = mul(x=add_299, y=exp_398)[name = string(\"mul_399\")];\n tensor<fp16, [1, 48, 128, 128]> add_400 = add(x=mul_399, y=mul_397)[name = string(\"add_400\")];\n tensor<fp16, [1, 48, 128, 128]> concat_401 = concat(axis=i_135, interleave=b_100, values=(add_286, add_390))[name = string(\"concat_401\")];\n tensor<fp16, [1, 1, 1, 128]> gate_norm_w_402 = const()[name = string(\"gate_norm_w_402\"), val = tensor<fp16, [1, 1, 1, 128]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265263872)))];\n tensor<fp16, [1, 48, 128, 128]> abs_403 = abs(x=concat_401)[name = string(\"abs_403\")];\n tensor<fp16, [1, 48, 128, 1]> reduce_max_404 = reduce_max(x=abs_403, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_max_404\")];\n tensor<fp16, [1, 48, 128, 1]> maximum_405 = maximum(x=reduce_max_404, y=c_6)[name = string(\"maximum_405\")];\n tensor<fp16, [1, 48, 128, 1]> real_div_406 = real_div(x=c_8, y=maximum_405)[name = string(\"real_div_406\")];\n tensor<fp16, [1, 48, 128, 128]> mul_407 = mul(x=concat_401, y=real_div_406)[name = string(\"mul_407\")];\n tensor<fp16, [1, 48, 128, 128]> pow_408 = pow(x=mul_407, y=c_11)[name = string(\"pow_408\")];\n tensor<fp16, [1, 48, 128, 1]> reduce_sum_409 = reduce_sum(x=pow_408, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_sum_409\")];\n tensor<fp16, [1, 48, 128, 1]> mul_410 = mul(x=reduce_sum_409, y=c_294)[name = string(\"mul_410\")];\n tensor<fp16, [1, 48, 128, 1]> pow_411 = pow(x=real_div_406, y=c_11)[name = string(\"pow_411\")];\n tensor<fp16, [1, 48, 128, 1]> mul_412 = mul(x=pow_411, y=c_17)[name = string(\"mul_412\")];\n tensor<fp16, [1, 48, 128, 1]> add_413 = add(x=mul_410, y=mul_412)[name = string(\"add_413\")];\n tensor<fp16, [1, 48, 128, 1]> rsqrt_414 = rsqrt(x=add_413, epsilon=c_20)[name = string(\"rsqrt_414\")];\n tensor<fp16, [1, 48, 128, 128]> mul_415 = mul(x=mul_407, y=rsqrt_414)[name = string(\"mul_415\")];\n tensor<fp16, [1, 48, 128, 128]> mul_416 = mul(x=mul_415, y=gate_norm_w_402)[name = string(\"mul_416\")];\n tensor<fp16, [1, 48, 128, 128]> reshape_417 = reshape(shape=iv_125, x=conv_94)[name = string(\"reshape_417\")];\n tensor<fp16, [1, 48, 128, 128]> transpose_418 = transpose(perm=iv_116, x=reshape_417)[name = string(\"transpose_418\")];\n tensor<fp16, [1, 48, 128, 128]> mul_419 = mul(x=transpose_418, y=c_35)[name = string(\"mul_419\")];\n tensor<fp16, [1, 48, 128, 128]> exp_420 = exp(x=mul_419)[name = string(\"exp_420\")];\n tensor<fp16, [1, 48, 128, 128]> add_421 = add(x=exp_420, y=c_8)[name = string(\"add_421\")];\n tensor<fp16, [1, 48, 128, 128]> real_div_422 = real_div(x=transpose_418, y=add_421)[name = string(\"real_div_422\")];\n tensor<fp16, [1, 48, 128, 128]> mul_423 = mul(x=mul_416, y=real_div_422)[name = string(\"mul_423\")];\n tensor<fp16, [1, 48, 128, 128]> transpose_424 = transpose(perm=iv_116, x=mul_423)[name = string(\"transpose_424\")];\n tensor<fp16, [1, 6144, 1, 128]> reshape_425 = reshape(shape=iv_123, x=transpose_424)[name = string(\"reshape_425\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_out_lut_426 = const()[name = string(\"w_out_lut_426\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(288857216)))];\n tensor<fp16, [5120, 6144, 1, 1]> w_out_427 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 6144, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(265264192))), lut = w_out_lut_426)[name = string(\"w_out_427\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_428 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_out_427, x=reshape_425)[name = string(\"conv_428\")];\n tensor<fp16, [1, 5120, 1, 128]> add_429 = add(x=add_73, y=conv_428)[name = string(\"add_429\")];\n tensor<fp16, [1, 5120, 1, 1]> norm_w_430 = const()[name = string(\"norm_w_430\"), val = tensor<fp16, [1, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(288898240)))];\n tensor<fp16, [1, 5120, 1, 128]> abs_431 = abs(x=add_429)[name = string(\"abs_431\")];\n tensor<fp16, [1, 1, 1, 128]> reduce_max_432 = reduce_max(x=abs_431, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_432\")];\n tensor<fp16, [1, 1, 1, 128]> maximum_433 = maximum(x=reduce_max_432, y=c_6)[name = string(\"maximum_433\")];\n tensor<fp16, [1, 1, 1, 128]> real_div_434 = real_div(x=c_8, y=maximum_433)[name = string(\"real_div_434\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_435 = mul(x=add_429, y=real_div_434)[name = string(\"mul_435\")];\n tensor<fp16, [1, 5120, 1, 128]> pow_436 = pow(x=mul_435, y=c_11)[name = string(\"pow_436\")];\n tensor<fp16, [1, 1, 1, 128]> reduce_sum_437 = reduce_sum(x=pow_436, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_sum_437\")];\n tensor<fp16, [1, 1, 1, 128]> mul_438 = mul(x=reduce_sum_437, y=c_14)[name = string(\"mul_438\")];\n tensor<fp16, [1, 1, 1, 128]> pow_439 = pow(x=real_div_434, y=c_11)[name = string(\"pow_439\")];\n tensor<fp16, [1, 1, 1, 128]> mul_440 = mul(x=pow_439, y=c_17)[name = string(\"mul_440\")];\n tensor<fp16, [1, 1, 1, 128]> add_441 = add(x=mul_438, y=mul_440)[name = string(\"add_441\")];\n tensor<fp16, [1, 1, 1, 128]> rsqrt_442 = rsqrt(x=add_441, epsilon=c_20)[name = string(\"rsqrt_442\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_443 = mul(x=mul_435, y=rsqrt_442)[name = string(\"mul_443\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_444 = mul(x=mul_443, y=norm_w_430)[name = string(\"mul_444\")];\n tensor<fp16, [2176, 1, 1, 1, 64, 1]> w_gate_up_lut_445 = const()[name = string(\"w_gate_up_lut_445\"), val = tensor<fp16, [2176, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(422602048)))];\n tensor<fp16, [34816, 5120, 1, 1]> w_gate_up_446 = constexpr_lut_to_dense(indices = tensor<uint6, [34816, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(288908544))), lut = w_gate_up_lut_445)[name = string(\"w_gate_up_446\")];\n tensor<fp16, [1, 34816, 1, 128]> conv_447 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_gate_up_446, x=mul_444)[name = string(\"conv_447\")];\n tensor<fp16, [1, 17408, 1, 128]> slice_by_size_448 = slice_by_size(x=conv_447, begin=iv_28, size=iv_31)[name = string(\"slice_by_size_448\")];\n tensor<fp16, [1, 17408, 1, 128]> slice_by_size_449 = slice_by_size(x=conv_447, begin=iv_33, size=iv_31)[name = string(\"slice_by_size_449\")];\n tensor<fp16, [1, 17408, 1, 128]> mul_450 = mul(x=slice_by_size_448, y=c_35)[name = string(\"mul_450\")];\n tensor<fp16, [1, 17408, 1, 128]> exp_451 = exp(x=mul_450)[name = string(\"exp_451\")];\n tensor<fp16, [1, 17408, 1, 128]> add_452 = add(x=exp_451, y=c_8)[name = string(\"add_452\")];\n tensor<fp16, [1, 17408, 1, 128]> real_div_453 = real_div(x=slice_by_size_448, y=add_452)[name = string(\"real_div_453\")];\n tensor<fp16, [1, 17408, 1, 128]> mul_454 = mul(x=real_div_453, y=slice_by_size_449)[name = string(\"mul_454\")];\n tensor<fp16, [1, 17408, 1, 128]> abs_455 = abs(x=mul_454)[name = string(\"abs_455\")];\n tensor<fp16, [1, 1, 1, 128]> reduce_max_456 = reduce_max(x=abs_455, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_456\")];\n tensor<fp16, [1, 1, 1, 128]> maximum_457 = maximum(x=reduce_max_456, y=c_44)[name = string(\"maximum_457\")];\n tensor<fp16, [1, 1, 1, 128]> real_div_458 = real_div(x=c_43, y=maximum_457)[name = string(\"real_div_458\")];\n tensor<fp16, [1, 17408, 1, 128]> mul_459 = mul(x=mul_454, y=real_div_458)[name = string(\"mul_459\")];\n tensor<fp16, [1, 4352, 1, 128]> slice_by_size_460 = slice_by_size(x=mul_459, begin=iv_28, size=iv_48)[name = string(\"slice_by_size_460\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_down0_lut_461 = const()[name = string(\"w_down0_lut_461\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(439592384)))];\n tensor<fp16, [5120, 4352, 1, 1]> w_down0_462 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 4352, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(422880640))), lut = w_down0_lut_461)[name = string(\"w_down0_462\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_463 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down0_462, x=slice_by_size_460)[name = string(\"conv_463\")];\n tensor<fp16, [1, 4352, 1, 128]> slice_by_size_464 = slice_by_size(x=mul_459, begin=iv_53, size=iv_48)[name = string(\"slice_by_size_464\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_down1_lut_465 = const()[name = string(\"w_down1_lut_465\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(456345152)))];\n tensor<fp16, [5120, 4352, 1, 1]> w_down1_466 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 4352, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(439633408))), lut = w_down1_lut_465)[name = string(\"w_down1_466\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_467 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down1_466, x=slice_by_size_464)[name = string(\"conv_467\")];\n tensor<fp16, [1, 4352, 1, 128]> slice_by_size_468 = slice_by_size(x=mul_459, begin=iv_58, size=iv_48)[name = string(\"slice_by_size_468\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_down2_lut_469 = const()[name = string(\"w_down2_lut_469\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(473097920)))];\n tensor<fp16, [5120, 4352, 1, 1]> w_down2_470 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 4352, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(456386176))), lut = w_down2_lut_469)[name = string(\"w_down2_470\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_471 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down2_470, x=slice_by_size_468)[name = string(\"conv_471\")];\n tensor<fp16, [1, 4352, 1, 128]> slice_by_size_472 = slice_by_size(x=mul_459, begin=iv_63, size=iv_48)[name = string(\"slice_by_size_472\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_down3_lut_473 = const()[name = string(\"w_down3_lut_473\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(489850688)))];\n tensor<fp16, [5120, 4352, 1, 1]> w_down3_474 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 4352, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(473138944))), lut = w_down3_lut_473)[name = string(\"w_down3_474\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_475 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down3_474, x=slice_by_size_472)[name = string(\"conv_475\")];\n tensor<fp16, [1, 5120, 1, 128]> add_476 = add(x=conv_463, y=conv_467)[name = string(\"add_476\")];\n tensor<fp16, [1, 5120, 1, 128]> add_477 = add(x=add_476, y=conv_471)[name = string(\"add_477\")];\n tensor<fp16, [1, 5120, 1, 128]> add_478 = add(x=add_477, y=conv_475)[name = string(\"add_478\")];\n tensor<fp16, [1, 1, 1, 128]> real_div_479 = real_div(x=c_8, y=real_div_458)[name = string(\"real_div_479\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_480 = mul(x=add_478, y=real_div_479)[name = string(\"mul_480\")];\n tensor<fp16, [1, 5120, 1, 128]> add_481 = add(x=add_429, y=mul_480)[name = string(\"add_481\")];\n tensor<fp16, [1, 5120, 1, 1]> norm_w_482 = const()[name = string(\"norm_w_482\"), val = tensor<fp16, [1, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(489891712)))];\n tensor<fp16, [1, 5120, 1, 128]> abs_483 = abs(x=add_481)[name = string(\"abs_483\")];\n tensor<fp16, [1, 1, 1, 128]> reduce_max_484 = reduce_max(x=abs_483, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_484\")];\n tensor<fp16, [1, 1, 1, 128]> maximum_485 = maximum(x=reduce_max_484, y=c_6)[name = string(\"maximum_485\")];\n tensor<fp16, [1, 1, 1, 128]> real_div_486 = real_div(x=c_8, y=maximum_485)[name = string(\"real_div_486\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_487 = mul(x=add_481, y=real_div_486)[name = string(\"mul_487\")];\n tensor<fp16, [1, 5120, 1, 128]> pow_488 = pow(x=mul_487, y=c_11)[name = string(\"pow_488\")];\n tensor<fp16, [1, 1, 1, 128]> reduce_sum_489 = reduce_sum(x=pow_488, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_sum_489\")];\n tensor<fp16, [1, 1, 1, 128]> mul_490 = mul(x=reduce_sum_489, y=c_14)[name = string(\"mul_490\")];\n tensor<fp16, [1, 1, 1, 128]> pow_491 = pow(x=real_div_486, y=c_11)[name = string(\"pow_491\")];\n tensor<fp16, [1, 1, 1, 128]> mul_492 = mul(x=pow_491, y=c_17)[name = string(\"mul_492\")];\n tensor<fp16, [1, 1, 1, 128]> add_493 = add(x=mul_490, y=mul_492)[name = string(\"add_493\")];\n tensor<fp16, [1, 1, 1, 128]> rsqrt_494 = rsqrt(x=add_493, epsilon=c_20)[name = string(\"rsqrt_494\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_495 = mul(x=mul_487, y=rsqrt_494)[name = string(\"mul_495\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_496 = mul(x=mul_495, y=norm_w_482)[name = string(\"mul_496\")];\n tensor<fp16, [640, 1, 1, 1, 64, 1]> w_qkv_lut_497 = const()[name = string(\"w_qkv_lut_497\"), val = tensor<fp16, [640, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(529223680)))];\n tensor<fp16, [10240, 5120, 1, 1]> w_qkv_498 = constexpr_lut_to_dense(indices = tensor<uint6, [10240, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(489902016))), lut = w_qkv_lut_497)[name = string(\"w_qkv_498\")];\n tensor<fp16, [1, 10240, 1, 128]> conv_499 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_qkv_498, x=mul_496)[name = string(\"conv_499\")];\n tensor<fp16, [384, 1, 1, 1, 64, 1]> w_z_lut_500 = const()[name = string(\"w_z_lut_500\"), val = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(552898688)))];\n tensor<fp16, [6144, 5120, 1, 1]> w_z_501 = constexpr_lut_to_dense(indices = tensor<uint6, [6144, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(529305664))), lut = w_z_lut_500)[name = string(\"w_z_501\")];\n tensor<fp16, [1, 6144, 1, 128]> conv_502 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_z_501, x=mul_496)[name = string(\"conv_502\")];\n tensor<fp16, [48, 5120, 1, 1]> w_b_503 = const()[name = string(\"w_b_503\"), val = tensor<fp16, [48, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(552947904)))];\n tensor<fp16, [1, 48, 1, 128]> conv_504 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_b_503, x=mul_496)[name = string(\"conv_504\")];\n tensor<fp16, [48, 5120, 1, 1]> w_a_505 = const()[name = string(\"w_a_505\"), val = tensor<fp16, [48, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(553439488)))];\n tensor<fp16, [1, 48, 1, 128]> conv_506 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_a_505, x=mul_496)[name = string(\"conv_506\")];\n tensor<fp16, [1, 10240, 1, 131]> concat_507 = concat(axis=i_99, interleave=b_100, values=(conv_in1, conv_499))[name = string(\"concat_507\")];\n tensor<fp16, [1, 10240, 1, 3]> slice_by_size_508 = slice_by_size(x=concat_507, begin=iv_102, size=iv_103)[name = string(\"slice_by_size_508\")];\n tensor<fp16, [10240, 1, 1, 4]> w_conv_509 = const()[name = string(\"w_conv_509\"), val = tensor<fp16, [10240, 1, 1, 4]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(553931072)))];\n tensor<fp16, [1, 10240, 1, 128]> conv_510 = conv(dilations=iv_26, groups=i_106, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_conv_509, x=concat_507)[name = string(\"conv_510\")];\n tensor<fp16, [1, 10240, 1, 128]> mul_511 = mul(x=conv_510, y=c_35)[name = string(\"mul_511\")];\n tensor<fp16, [1, 10240, 1, 128]> exp_512 = exp(x=mul_511)[name = string(\"exp_512\")];\n tensor<fp16, [1, 10240, 1, 128]> add_513 = add(x=exp_512, y=c_8)[name = string(\"add_513\")];\n tensor<fp16, [1, 10240, 1, 128]> real_div_514 = real_div(x=conv_510, y=add_513)[name = string(\"real_div_514\")];\n tensor<fp16, [1, 2048, 1, 128]> slice_by_size_515 = slice_by_size(x=real_div_514, begin=iv_28, size=iv_112)[name = string(\"slice_by_size_515\")];\n tensor<fp16, [1, 16, 128, 128]> reshape_516 = reshape(shape=iv_114, x=slice_by_size_515)[name = string(\"reshape_516\")];\n tensor<fp16, [1, 16, 128, 128]> transpose_517 = transpose(perm=iv_116, x=reshape_516)[name = string(\"transpose_517\")];\n tensor<fp16, [1, 2048, 1, 128]> slice_by_size_518 = slice_by_size(x=real_div_514, begin=iv_118, size=iv_112)[name = string(\"slice_by_size_518\")];\n tensor<fp16, [1, 16, 128, 128]> reshape_519 = reshape(shape=iv_114, x=slice_by_size_518)[name = string(\"reshape_519\")];\n tensor<fp16, [1, 16, 128, 128]> transpose_520 = transpose(perm=iv_116, x=reshape_519)[name = string(\"transpose_520\")];\n tensor<fp16, [1, 6144, 1, 128]> slice_by_size_521 = slice_by_size(x=real_div_514, begin=iv_122, size=iv_123)[name = string(\"slice_by_size_521\")];\n tensor<fp16, [1, 48, 128, 128]> reshape_522 = reshape(shape=iv_125, x=slice_by_size_521)[name = string(\"reshape_522\")];\n tensor<fp16, [1, 48, 128, 128]> transpose_523 = transpose(perm=iv_116, x=reshape_522)[name = string(\"transpose_523\")];\n tensor<fp16, [1, 16, 128, 128]> pow_524 = pow(x=transpose_517, y=c_11)[name = string(\"pow_524\")];\n tensor<fp16, [1, 16, 128, 1]> reduce_sum_525 = reduce_sum(x=pow_524, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_sum_525\")];\n tensor<fp16, [1, 16, 128, 1]> rsqrt_526 = rsqrt(x=reduce_sum_525, epsilon=c_17)[name = string(\"rsqrt_526\")];\n tensor<fp16, [1, 16, 128, 128]> mul_527 = mul(x=transpose_517, y=rsqrt_526)[name = string(\"mul_527\")];\n tensor<fp16, [1, 16, 1, 16384]> reshape_528 = reshape(shape=iv_133, x=mul_527)[name = string(\"reshape_528\")];\n tensor<fp16, [1, 16, 3, 16384]> concat_529 = concat(axis=i_135, interleave=b_100, values=(reshape_528, reshape_528, reshape_528))[name = string(\"concat_529\")];\n tensor<fp16, [1, 48, 128, 128]> reshape_530 = reshape(shape=iv_125, x=concat_529)[name = string(\"reshape_530\")];\n tensor<fp16, [1, 16, 128, 128]> pow_531 = pow(x=transpose_520, y=c_11)[name = string(\"pow_531\")];\n tensor<fp16, [1, 16, 128, 1]> reduce_sum_532 = reduce_sum(x=pow_531, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_sum_532\")];\n tensor<fp16, [1, 16, 128, 1]> rsqrt_533 = rsqrt(x=reduce_sum_532, epsilon=c_17)[name = string(\"rsqrt_533\")];\n tensor<fp16, [1, 16, 128, 128]> mul_534 = mul(x=transpose_520, y=rsqrt_533)[name = string(\"mul_534\")];\n tensor<fp16, [1, 16, 1, 16384]> reshape_535 = reshape(shape=iv_133, x=mul_534)[name = string(\"reshape_535\")];\n tensor<fp16, [1, 16, 3, 16384]> concat_536 = concat(axis=i_135, interleave=b_100, values=(reshape_535, reshape_535, reshape_535))[name = string(\"concat_536\")];\n tensor<fp16, [1, 48, 128, 128]> reshape_537 = reshape(shape=iv_125, x=concat_536)[name = string(\"reshape_537\")];\n tensor<fp16, [1, 48, 1, 128]> mul_538 = mul(x=conv_504, y=c_35)[name = string(\"mul_538\")];\n tensor<fp16, [1, 48, 1, 128]> exp_539 = exp(x=mul_538)[name = string(\"exp_539\")];\n tensor<fp16, [1, 48, 1, 128]> add_540 = add(x=exp_539, y=c_8)[name = string(\"add_540\")];\n tensor<fp16, [1, 48, 1, 128]> real_div_541 = real_div(x=c_8, y=add_540)[name = string(\"real_div_541\")];\n tensor<fp16, [1, 48, 128, 1]> transpose_542 = transpose(perm=iv_116, x=real_div_541)[name = string(\"transpose_542\")];\n tensor<fp16, [1, 48, 1, 1]> dt_bias_543 = const()[name = string(\"dt_bias_543\"), val = tensor<fp16, [1, 48, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554013056)))];\n tensor<fp16, [1, 48, 1, 1]> neg_a_544 = const()[name = string(\"neg_a_544\"), val = tensor<fp16, [1, 48, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554013248)))];\n tensor<fp16, [1, 48, 1, 128]> add_545 = add(x=conv_506, y=dt_bias_543)[name = string(\"add_545\")];\n tensor<fp16, [1, 48, 1, 128]> minimum_546 = minimum(x=add_545, y=c_153)[name = string(\"minimum_546\")];\n tensor<fp16, [1, 48, 1, 128]> exp_547 = exp(x=minimum_546)[name = string(\"exp_547\")];\n tensor<fp16, [1, 48, 1, 128]> mul_548 = mul(x=exp_547, y=c_156)[name = string(\"mul_548\")];\n tensor<fp16, [1, 48, 1, 128]> mul_549 = mul(x=mul_548, y=c_35)[name = string(\"mul_549\")];\n tensor<fp16, [1, 48, 1, 128]> add_550 = add(x=mul_549, y=c_159)[name = string(\"add_550\")];\n tensor<fp16, [1, 48, 1, 128]> mul_551 = mul(x=exp_547, y=add_550)[name = string(\"mul_551\")];\n tensor<fp16, [1, 48, 1, 128]> mul_552 = mul(x=mul_551, y=c_35)[name = string(\"mul_552\")];\n tensor<fp16, [1, 48, 1, 128]> add_553 = add(x=mul_552, y=c_163)[name = string(\"add_553\")];\n tensor<fp16, [1, 48, 1, 128]> mul_554 = mul(x=exp_547, y=add_553)[name = string(\"mul_554\")];\n tensor<fp16, [1, 48, 1, 128]> mul_555 = mul(x=mul_554, y=c_35)[name = string(\"mul_555\")];\n tensor<fp16, [1, 48, 1, 128]> add_556 = add(x=mul_555, y=c_8)[name = string(\"add_556\")];\n tensor<fp16, [1, 48, 1, 128]> mul_557 = mul(x=exp_547, y=add_556)[name = string(\"mul_557\")];\n tensor<fp16, [1, 48, 1, 128]> minimum_558 = minimum(x=add_545, y=c_169)[name = string(\"minimum_558\")];\n tensor<fp16, [1, 48, 1, 128]> maximum_559 = maximum(x=minimum_558, y=c_153)[name = string(\"maximum_559\")];\n tensor<fp16, [1, 48, 1, 128]> softplus_560 = softplus(x=maximum_559)[name = string(\"softplus_560\")];\n tensor<fp16, [1, 48, 1, 128]> sub_561 = sub(x=add_545, y=c_169)[name = string(\"sub_561\")];\n tensor<fp16, [1, 48, 1, 128]> maximum_562 = maximum(x=sub_561, y=c_20)[name = string(\"maximum_562\")];\n tensor<fp16, [1, 48, 1, 128]> add_563 = add(x=softplus_560, y=maximum_562)[name = string(\"add_563\")];\n tensor<fp16, [1, 48, 1, 128]> mul_564 = mul(x=add_545, y=c_35)[name = string(\"mul_564\")];\n tensor<fp16, [1, 48, 1, 128]> add_565 = add(x=mul_564, y=c_153)[name = string(\"add_565\")];\n tensor<fp16, [1, 48, 1, 128]> mul_566 = mul(x=add_565, y=c_178)[name = string(\"mul_566\")];\n tensor<fp16, [1, 48, 1, 128]> maximum_567 = maximum(x=mul_566, y=c_20)[name = string(\"maximum_567\")];\n tensor<fp16, [1, 48, 1, 128]> minimum_568 = minimum(x=maximum_567, y=c_8)[name = string(\"minimum_568\")];\n tensor<fp16, [1, 48, 1, 128]> mul_569 = mul(x=minimum_568, y=mul_557)[name = string(\"mul_569\")];\n tensor<fp16, [1, 48, 1, 128]> mul_570 = mul(x=minimum_568, y=c_35)[name = string(\"mul_570\")];\n tensor<fp16, [1, 48, 1, 128]> add_571 = add(x=mul_570, y=c_8)[name = string(\"add_571\")];\n tensor<fp16, [1, 48, 1, 128]> mul_572 = mul(x=add_571, y=add_563)[name = string(\"mul_572\")];\n tensor<fp16, [1, 48, 1, 128]> add_573 = add(x=mul_569, y=mul_572)[name = string(\"add_573\")];\n tensor<fp16, [1, 48, 1, 128]> mul_574 = mul(x=add_573, y=neg_a_544)[name = string(\"mul_574\")];\n tensor<fp16, [1, 48, 128, 1]> transpose_575 = transpose(perm=iv_116, x=mul_574)[name = string(\"transpose_575\")];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_576 = slice_by_size(x=reshape_530, begin=iv_28, size=iv_189)[name = string(\"slice_by_size_576\")];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_577 = slice_by_size(x=reshape_537, begin=iv_28, size=iv_189)[name = string(\"slice_by_size_577\")];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_578 = slice_by_size(x=transpose_523, begin=iv_28, size=iv_189)[name = string(\"slice_by_size_578\")];\n tensor<fp16, [1, 48, 64, 1]> slice_by_size_579 = slice_by_size(x=transpose_542, begin=iv_28, size=iv_193)[name = string(\"slice_by_size_579\")];\n tensor<fp16, [1, 48, 64, 1]> slice_by_size_580 = slice_by_size(x=transpose_575, begin=iv_28, size=iv_193)[name = string(\"slice_by_size_580\")];\n tensor<fp16, [1, 1, 64, 64]> tril_581 = const()[name = string(\"tril_581\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554013440)))];\n tensor<fp16, [1, 1, 64, 64]> tril_strict_582 = const()[name = string(\"tril_strict_582\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554021696)))];\n tensor<fp16, [1, 48, 64, 128]> mul_583 = mul(x=slice_by_size_576, y=c_198)[name = string(\"mul_583\")];\n tensor<fp16, [1, 48, 64, 128]> mul_584 = mul(x=slice_by_size_577, y=c_198)[name = string(\"mul_584\")];\n tensor<fp16, [1, 48, 64, 128]> mul_585 = mul(x=mul_584, y=slice_by_size_579)[name = string(\"mul_585\")];\n tensor<fp16, [1, 48, 64, 128]> mul_586 = mul(x=slice_by_size_578, y=slice_by_size_579)[name = string(\"mul_586\")];\n tensor<fp16, [1, 48, 64, 128]> abs_587 = abs(x=mul_586)[name = string(\"abs_587\")];\n tensor<fp16, [1, 48, 64, 1]> reduce_max_588 = reduce_max(x=abs_587, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_max_588\")];\n tensor<fp16, [1, 48, 1, 1]> reduce_max_589 = reduce_max(x=reduce_max_588, axes=iv_205, keep_dims=b_4)[name = string(\"reduce_max_589\")];\n tensor<fp16, [1, 48, 1, 1]> maximum_590 = maximum(x=reduce_max_589, y=c_207)[name = string(\"maximum_590\")];\n tensor<fp16, [1, 48, 1, 1]> real_div_591 = real_div(x=c_8, y=maximum_590)[name = string(\"real_div_591\")];\n tensor<fp16, [1, 48, 1, 1]> mul_592 = mul(x=real_div_591, y=c_169)[name = string(\"mul_592\")];\n tensor<fp16, [1, 48, 64, 128]> mul_593 = mul(x=mul_586, y=mul_592)[name = string(\"mul_593\")];\n tensor<fp16, [1, 48, 64, 1]> matmul_594 = matmul(transpose_x=b_100, transpose_y=b_100, x=tril_581, y=slice_by_size_580)[name = string(\"matmul_594\")];\n tensor<fp16, [1, 48, 1, 64]> transpose_595 = transpose(perm=iv_116, x=matmul_594)[name = string(\"transpose_595\")];\n tensor<fp16, [1, 48, 64, 64]> sub_596 = sub(x=matmul_594, y=transpose_595)[name = string(\"sub_596\")];\n tensor<fp16, [1, 48, 64, 64]> mul_597 = mul(x=sub_596, y=tril_581)[name = string(\"mul_597\")];\n tensor<fp16, [1, 48, 64, 64]> exp_598 = exp(x=mul_597)[name = string(\"exp_598\")];\n tensor<fp16, [1, 48, 64, 64]> mul_599 = mul(x=exp_598, y=tril_581)[name = string(\"mul_599\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_600 = matmul(transpose_x=b_100, transpose_y=b_4, x=mul_585, y=mul_584)[name = string(\"matmul_600\")];\n tensor<fp16, [1, 48, 64, 64]> mul_601 = mul(x=matmul_600, y=c_219)[name = string(\"mul_601\")];\n tensor<fp16, [1, 48, 64, 64]> mul_602 = mul(x=mul_601, y=mul_599)[name = string(\"mul_602\")];\n tensor<fp16, [1, 48, 64, 64]> mul_603 = mul(x=mul_602, y=tril_strict_582)[name = string(\"mul_603\")];\n tensor<fp16, [1, 1, 64, 64]> eye_604 = const()[name = string(\"eye_604\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554029952)))];\n tensor<fp16, [1, 1, 64, 64]> merge0_605 = const()[name = string(\"merge0_605\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554038208)))];\n tensor<fp16, [1, 48, 64, 64]> mul_606 = mul(x=mul_603, y=merge0_605)[name = string(\"mul_606\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_607 = matmul(transpose_x=b_100, transpose_y=b_100, x=eye_604, y=mul_606)[name = string(\"matmul_607\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_608 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_607, y=eye_604)[name = string(\"matmul_608\")];\n tensor<fp16, [1, 48, 64, 64]> sub_609 = sub(x=eye_604, y=matmul_608)[name = string(\"sub_609\")];\n tensor<fp16, [1, 1, 64, 64]> merge1_610 = const()[name = string(\"merge1_610\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554046464)))];\n tensor<fp16, [1, 48, 64, 64]> mul_611 = mul(x=mul_603, y=merge1_610)[name = string(\"mul_611\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_612 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_609, y=mul_611)[name = string(\"matmul_612\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_613 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_612, y=sub_609)[name = string(\"matmul_613\")];\n tensor<fp16, [1, 48, 64, 64]> sub_614 = sub(x=sub_609, y=matmul_613)[name = string(\"sub_614\")];\n tensor<fp16, [1, 1, 64, 64]> merge2_615 = const()[name = string(\"merge2_615\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554054720)))];\n tensor<fp16, [1, 48, 64, 64]> mul_616 = mul(x=mul_603, y=merge2_615)[name = string(\"mul_616\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_617 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_614, y=mul_616)[name = string(\"matmul_617\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_618 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_617, y=sub_614)[name = string(\"matmul_618\")];\n tensor<fp16, [1, 48, 64, 64]> sub_619 = sub(x=sub_614, y=matmul_618)[name = string(\"sub_619\")];\n tensor<fp16, [1, 1, 64, 64]> merge3_620 = const()[name = string(\"merge3_620\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554062976)))];\n tensor<fp16, [1, 48, 64, 64]> mul_621 = mul(x=mul_603, y=merge3_620)[name = string(\"mul_621\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_622 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_619, y=mul_621)[name = string(\"matmul_622\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_623 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_622, y=sub_619)[name = string(\"matmul_623\")];\n tensor<fp16, [1, 48, 64, 64]> sub_624 = sub(x=sub_619, y=matmul_623)[name = string(\"sub_624\")];\n tensor<fp16, [1, 1, 64, 64]> merge4_625 = const()[name = string(\"merge4_625\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554071232)))];\n tensor<fp16, [1, 48, 64, 64]> mul_626 = mul(x=mul_603, y=merge4_625)[name = string(\"mul_626\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_627 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_624, y=mul_626)[name = string(\"matmul_627\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_628 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_627, y=sub_624)[name = string(\"matmul_628\")];\n tensor<fp16, [1, 48, 64, 64]> sub_629 = sub(x=sub_624, y=matmul_628)[name = string(\"sub_629\")];\n tensor<fp16, [1, 1, 64, 64]> merge5_630 = const()[name = string(\"merge5_630\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554079488)))];\n tensor<fp16, [1, 48, 64, 64]> mul_631 = mul(x=mul_603, y=merge5_630)[name = string(\"mul_631\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_632 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_629, y=mul_631)[name = string(\"matmul_632\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_633 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_632, y=sub_629)[name = string(\"matmul_633\")];\n tensor<fp16, [1, 48, 64, 64]> sub_634 = sub(x=sub_629, y=matmul_633)[name = string(\"sub_634\")];\n tensor<fp16, [1, 48, 64, 64]> add_635 = add(x=eye_604, y=mul_603)[name = string(\"add_635\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_636 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_635, y=sub_634)[name = string(\"matmul_636\")];\n tensor<fp16, [1, 48, 64, 64]> sub_637 = sub(x=eye_604, y=matmul_636)[name = string(\"sub_637\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_638 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_634, y=sub_637)[name = string(\"matmul_638\")];\n tensor<fp16, [1, 48, 64, 64]> add_639 = add(x=sub_634, y=matmul_638)[name = string(\"add_639\")];\n tensor<fp16, [1, 48, 64, 1]> exp_640 = exp(x=matmul_594)[name = string(\"exp_640\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_641 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_639, y=mul_593)[name = string(\"matmul_641\")];\n tensor<fp16, [1, 48, 64, 128]> mul_642 = mul(x=mul_585, y=exp_640)[name = string(\"mul_642\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_643 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_639, y=mul_642)[name = string(\"matmul_643\")];\n tensor<fp16, [1, 48, 128, 128]> abs_644 = abs(x=rec_in1)[name = string(\"abs_644\")];\n tensor<fp16, [1, 48, 128, 1]> reduce_max_645 = reduce_max(x=abs_644, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_max_645\")];\n tensor<fp16, [1, 48, 1, 1]> reduce_max_646 = reduce_max(x=reduce_max_645, axes=iv_205, keep_dims=b_4)[name = string(\"reduce_max_646\")];\n tensor<fp16, [1, 48, 1, 1]> maximum_647 = maximum(x=reduce_max_646, y=c_207)[name = string(\"maximum_647\")];\n tensor<fp16, [1, 48, 1, 1]> real_div_648 = real_div(x=c_8, y=maximum_647)[name = string(\"real_div_648\")];\n tensor<fp16, [1, 48, 128, 128]> mul_649 = mul(x=rec_in1, y=real_div_648)[name = string(\"mul_649\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_650 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_643, y=mul_649)[name = string(\"matmul_650\")];\n tensor<fp16, [1, 48, 1, 1]> mul_651 = mul(x=maximum_647, y=real_div_591)[name = string(\"mul_651\")];\n tensor<fp16, [1, 48, 1, 1]> mul_652 = mul(x=mul_651, y=c_163)[name = string(\"mul_652\")];\n tensor<fp16, [1, 48, 64, 128]> mul_653 = mul(x=matmul_650, y=mul_652)[name = string(\"mul_653\")];\n tensor<fp16, [1, 48, 64, 128]> sub_654 = sub(x=matmul_641, y=mul_653)[name = string(\"sub_654\")];\n tensor<fp16, [1, 48, 64, 128]> mul_655 = mul(x=mul_583, y=exp_640)[name = string(\"mul_655\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_656 = matmul(transpose_x=b_100, transpose_y=b_100, x=mul_655, y=mul_649)[name = string(\"matmul_656\")];\n tensor<fp16, [1, 48, 1, 1]> mul_657 = mul(x=maximum_647, y=c_276)[name = string(\"mul_657\")];\n tensor<fp16, [1, 48, 64, 128]> mul_658 = mul(x=matmul_656, y=mul_657)[name = string(\"mul_658\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_659 = matmul(transpose_x=b_100, transpose_y=b_4, x=mul_583, y=mul_584)[name = string(\"matmul_659\")];\n tensor<fp16, [1, 48, 64, 64]> mul_660 = mul(x=matmul_659, y=mul_599)[name = string(\"mul_660\")];\n tensor<fp16, [1, 48, 64, 64]> mul_661 = mul(x=mul_660, y=c_6)[name = string(\"mul_661\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_662 = matmul(transpose_x=b_100, transpose_y=b_100, x=mul_661, y=sub_654)[name = string(\"matmul_662\")];\n tensor<fp16, [1, 48, 1, 1]> mul_663 = mul(x=maximum_590, y=c_283)[name = string(\"mul_663\")];\n tensor<fp16, [1, 48, 64, 128]> mul_664 = mul(x=matmul_662, y=mul_663)[name = string(\"mul_664\")];\n tensor<fp16, [1, 48, 64, 128]> add_665 = add(x=mul_658, y=mul_664)[name = string(\"add_665\")];\n tensor<fp16, [1, 48, 1, 1]> slice_by_size_666 = slice_by_size(x=matmul_594, begin=iv_287, size=iv_288)[name = string(\"slice_by_size_666\")];\n tensor<fp16, [1, 48, 64, 1]> sub_667 = sub(x=slice_by_size_666, y=matmul_594)[name = string(\"sub_667\")];\n tensor<fp16, [1, 48, 64, 1]> exp_668 = exp(x=sub_667)[name = string(\"exp_668\")];\n tensor<fp16, [1, 48, 64, 128]> mul_669 = mul(x=mul_584, y=exp_668)[name = string(\"mul_669\")];\n tensor<fp16, [1, 48, 128, 128]> matmul_670 = matmul(transpose_x=b_4, transpose_y=b_100, x=mul_669, y=sub_654)[name = string(\"matmul_670\")];\n tensor<fp16, [1, 48, 1, 1]> mul_671 = mul(x=maximum_590, y=c_294)[name = string(\"mul_671\")];\n tensor<fp16, [1, 48, 128, 128]> mul_672 = mul(x=matmul_670, y=mul_671)[name = string(\"mul_672\")];\n tensor<fp16, [1, 48, 1, 1]> exp_673 = exp(x=slice_by_size_666)[name = string(\"exp_673\")];\n tensor<fp16, [1, 48, 128, 128]> mul_674 = mul(x=rec_in1, y=exp_673)[name = string(\"mul_674\")];\n tensor<fp16, [1, 48, 128, 128]> add_675 = add(x=mul_674, y=mul_672)[name = string(\"add_675\")];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_676 = slice_by_size(x=reshape_530, begin=iv_300, size=iv_189)[name = string(\"slice_by_size_676\")];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_677 = slice_by_size(x=reshape_537, begin=iv_300, size=iv_189)[name = string(\"slice_by_size_677\")];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_678 = slice_by_size(x=transpose_523, begin=iv_300, size=iv_189)[name = string(\"slice_by_size_678\")];\n tensor<fp16, [1, 48, 64, 1]> slice_by_size_679 = slice_by_size(x=transpose_542, begin=iv_300, size=iv_193)[name = string(\"slice_by_size_679\")];\n tensor<fp16, [1, 48, 64, 1]> slice_by_size_680 = slice_by_size(x=transpose_575, begin=iv_300, size=iv_193)[name = string(\"slice_by_size_680\")];\n tensor<fp16, [1, 1, 64, 64]> tril_681 = const()[name = string(\"tril_681\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554087744)))];\n tensor<fp16, [1, 1, 64, 64]> tril_strict_682 = const()[name = string(\"tril_strict_682\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554096000)))];\n tensor<fp16, [1, 48, 64, 128]> mul_683 = mul(x=slice_by_size_676, y=c_198)[name = string(\"mul_683\")];\n tensor<fp16, [1, 48, 64, 128]> mul_684 = mul(x=slice_by_size_677, y=c_198)[name = string(\"mul_684\")];\n tensor<fp16, [1, 48, 64, 128]> mul_685 = mul(x=mul_684, y=slice_by_size_679)[name = string(\"mul_685\")];\n tensor<fp16, [1, 48, 64, 128]> mul_686 = mul(x=slice_by_size_678, y=slice_by_size_679)[name = string(\"mul_686\")];\n tensor<fp16, [1, 48, 64, 128]> abs_687 = abs(x=mul_686)[name = string(\"abs_687\")];\n tensor<fp16, [1, 48, 64, 1]> reduce_max_688 = reduce_max(x=abs_687, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_max_688\")];\n tensor<fp16, [1, 48, 1, 1]> reduce_max_689 = reduce_max(x=reduce_max_688, axes=iv_205, keep_dims=b_4)[name = string(\"reduce_max_689\")];\n tensor<fp16, [1, 48, 1, 1]> maximum_690 = maximum(x=reduce_max_689, y=c_207)[name = string(\"maximum_690\")];\n tensor<fp16, [1, 48, 1, 1]> real_div_691 = real_div(x=c_8, y=maximum_690)[name = string(\"real_div_691\")];\n tensor<fp16, [1, 48, 1, 1]> mul_692 = mul(x=real_div_691, y=c_169)[name = string(\"mul_692\")];\n tensor<fp16, [1, 48, 64, 128]> mul_693 = mul(x=mul_686, y=mul_692)[name = string(\"mul_693\")];\n tensor<fp16, [1, 48, 64, 1]> matmul_694 = matmul(transpose_x=b_100, transpose_y=b_100, x=tril_681, y=slice_by_size_680)[name = string(\"matmul_694\")];\n tensor<fp16, [1, 48, 1, 64]> transpose_695 = transpose(perm=iv_116, x=matmul_694)[name = string(\"transpose_695\")];\n tensor<fp16, [1, 48, 64, 64]> sub_696 = sub(x=matmul_694, y=transpose_695)[name = string(\"sub_696\")];\n tensor<fp16, [1, 48, 64, 64]> mul_697 = mul(x=sub_696, y=tril_681)[name = string(\"mul_697\")];\n tensor<fp16, [1, 48, 64, 64]> exp_698 = exp(x=mul_697)[name = string(\"exp_698\")];\n tensor<fp16, [1, 48, 64, 64]> mul_699 = mul(x=exp_698, y=tril_681)[name = string(\"mul_699\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_700 = matmul(transpose_x=b_100, transpose_y=b_4, x=mul_685, y=mul_684)[name = string(\"matmul_700\")];\n tensor<fp16, [1, 48, 64, 64]> mul_701 = mul(x=matmul_700, y=c_219)[name = string(\"mul_701\")];\n tensor<fp16, [1, 48, 64, 64]> mul_702 = mul(x=mul_701, y=mul_699)[name = string(\"mul_702\")];\n tensor<fp16, [1, 48, 64, 64]> mul_703 = mul(x=mul_702, y=tril_strict_682)[name = string(\"mul_703\")];\n tensor<fp16, [1, 1, 64, 64]> eye_704 = const()[name = string(\"eye_704\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554104256)))];\n tensor<fp16, [1, 1, 64, 64]> merge0_705 = const()[name = string(\"merge0_705\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554112512)))];\n tensor<fp16, [1, 48, 64, 64]> mul_706 = mul(x=mul_703, y=merge0_705)[name = string(\"mul_706\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_707 = matmul(transpose_x=b_100, transpose_y=b_100, x=eye_704, y=mul_706)[name = string(\"matmul_707\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_708 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_707, y=eye_704)[name = string(\"matmul_708\")];\n tensor<fp16, [1, 48, 64, 64]> sub_709 = sub(x=eye_704, y=matmul_708)[name = string(\"sub_709\")];\n tensor<fp16, [1, 1, 64, 64]> merge1_710 = const()[name = string(\"merge1_710\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554120768)))];\n tensor<fp16, [1, 48, 64, 64]> mul_711 = mul(x=mul_703, y=merge1_710)[name = string(\"mul_711\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_712 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_709, y=mul_711)[name = string(\"matmul_712\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_713 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_712, y=sub_709)[name = string(\"matmul_713\")];\n tensor<fp16, [1, 48, 64, 64]> sub_714 = sub(x=sub_709, y=matmul_713)[name = string(\"sub_714\")];\n tensor<fp16, [1, 1, 64, 64]> merge2_715 = const()[name = string(\"merge2_715\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554129024)))];\n tensor<fp16, [1, 48, 64, 64]> mul_716 = mul(x=mul_703, y=merge2_715)[name = string(\"mul_716\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_717 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_714, y=mul_716)[name = string(\"matmul_717\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_718 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_717, y=sub_714)[name = string(\"matmul_718\")];\n tensor<fp16, [1, 48, 64, 64]> sub_719 = sub(x=sub_714, y=matmul_718)[name = string(\"sub_719\")];\n tensor<fp16, [1, 1, 64, 64]> merge3_720 = const()[name = string(\"merge3_720\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554137280)))];\n tensor<fp16, [1, 48, 64, 64]> mul_721 = mul(x=mul_703, y=merge3_720)[name = string(\"mul_721\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_722 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_719, y=mul_721)[name = string(\"matmul_722\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_723 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_722, y=sub_719)[name = string(\"matmul_723\")];\n tensor<fp16, [1, 48, 64, 64]> sub_724 = sub(x=sub_719, y=matmul_723)[name = string(\"sub_724\")];\n tensor<fp16, [1, 1, 64, 64]> merge4_725 = const()[name = string(\"merge4_725\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554145536)))];\n tensor<fp16, [1, 48, 64, 64]> mul_726 = mul(x=mul_703, y=merge4_725)[name = string(\"mul_726\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_727 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_724, y=mul_726)[name = string(\"matmul_727\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_728 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_727, y=sub_724)[name = string(\"matmul_728\")];\n tensor<fp16, [1, 48, 64, 64]> sub_729 = sub(x=sub_724, y=matmul_728)[name = string(\"sub_729\")];\n tensor<fp16, [1, 1, 64, 64]> merge5_730 = const()[name = string(\"merge5_730\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554153792)))];\n tensor<fp16, [1, 48, 64, 64]> mul_731 = mul(x=mul_703, y=merge5_730)[name = string(\"mul_731\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_732 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_729, y=mul_731)[name = string(\"matmul_732\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_733 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_732, y=sub_729)[name = string(\"matmul_733\")];\n tensor<fp16, [1, 48, 64, 64]> sub_734 = sub(x=sub_729, y=matmul_733)[name = string(\"sub_734\")];\n tensor<fp16, [1, 48, 64, 64]> add_735 = add(x=eye_704, y=mul_703)[name = string(\"add_735\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_736 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_735, y=sub_734)[name = string(\"matmul_736\")];\n tensor<fp16, [1, 48, 64, 64]> sub_737 = sub(x=eye_704, y=matmul_736)[name = string(\"sub_737\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_738 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_734, y=sub_737)[name = string(\"matmul_738\")];\n tensor<fp16, [1, 48, 64, 64]> add_739 = add(x=sub_734, y=matmul_738)[name = string(\"add_739\")];\n tensor<fp16, [1, 48, 64, 1]> exp_740 = exp(x=matmul_694)[name = string(\"exp_740\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_741 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_739, y=mul_693)[name = string(\"matmul_741\")];\n tensor<fp16, [1, 48, 64, 128]> mul_742 = mul(x=mul_685, y=exp_740)[name = string(\"mul_742\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_743 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_739, y=mul_742)[name = string(\"matmul_743\")];\n tensor<fp16, [1, 48, 128, 128]> abs_744 = abs(x=add_675)[name = string(\"abs_744\")];\n tensor<fp16, [1, 48, 128, 1]> reduce_max_745 = reduce_max(x=abs_744, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_max_745\")];\n tensor<fp16, [1, 48, 1, 1]> reduce_max_746 = reduce_max(x=reduce_max_745, axes=iv_205, keep_dims=b_4)[name = string(\"reduce_max_746\")];\n tensor<fp16, [1, 48, 1, 1]> maximum_747 = maximum(x=reduce_max_746, y=c_207)[name = string(\"maximum_747\")];\n tensor<fp16, [1, 48, 1, 1]> real_div_748 = real_div(x=c_8, y=maximum_747)[name = string(\"real_div_748\")];\n tensor<fp16, [1, 48, 128, 128]> mul_749 = mul(x=add_675, y=real_div_748)[name = string(\"mul_749\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_750 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_743, y=mul_749)[name = string(\"matmul_750\")];\n tensor<fp16, [1, 48, 1, 1]> mul_751 = mul(x=maximum_747, y=real_div_691)[name = string(\"mul_751\")];\n tensor<fp16, [1, 48, 1, 1]> mul_752 = mul(x=mul_751, y=c_163)[name = string(\"mul_752\")];\n tensor<fp16, [1, 48, 64, 128]> mul_753 = mul(x=matmul_750, y=mul_752)[name = string(\"mul_753\")];\n tensor<fp16, [1, 48, 64, 128]> sub_754 = sub(x=matmul_741, y=mul_753)[name = string(\"sub_754\")];\n tensor<fp16, [1, 48, 64, 128]> mul_755 = mul(x=mul_683, y=exp_740)[name = string(\"mul_755\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_756 = matmul(transpose_x=b_100, transpose_y=b_100, x=mul_755, y=mul_749)[name = string(\"matmul_756\")];\n tensor<fp16, [1, 48, 1, 1]> mul_757 = mul(x=maximum_747, y=c_276)[name = string(\"mul_757\")];\n tensor<fp16, [1, 48, 64, 128]> mul_758 = mul(x=matmul_756, y=mul_757)[name = string(\"mul_758\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_759 = matmul(transpose_x=b_100, transpose_y=b_4, x=mul_683, y=mul_684)[name = string(\"matmul_759\")];\n tensor<fp16, [1, 48, 64, 64]> mul_760 = mul(x=matmul_759, y=mul_699)[name = string(\"mul_760\")];\n tensor<fp16, [1, 48, 64, 64]> mul_761 = mul(x=mul_760, y=c_6)[name = string(\"mul_761\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_762 = matmul(transpose_x=b_100, transpose_y=b_100, x=mul_761, y=sub_754)[name = string(\"matmul_762\")];\n tensor<fp16, [1, 48, 1, 1]> mul_763 = mul(x=maximum_690, y=c_283)[name = string(\"mul_763\")];\n tensor<fp16, [1, 48, 64, 128]> mul_764 = mul(x=matmul_762, y=mul_763)[name = string(\"mul_764\")];\n tensor<fp16, [1, 48, 64, 128]> add_765 = add(x=mul_758, y=mul_764)[name = string(\"add_765\")];\n tensor<fp16, [1, 48, 1, 1]> slice_by_size_766 = slice_by_size(x=matmul_694, begin=iv_287, size=iv_288)[name = string(\"slice_by_size_766\")];\n tensor<fp16, [1, 48, 64, 1]> sub_767 = sub(x=slice_by_size_766, y=matmul_694)[name = string(\"sub_767\")];\n tensor<fp16, [1, 48, 64, 1]> exp_768 = exp(x=sub_767)[name = string(\"exp_768\")];\n tensor<fp16, [1, 48, 64, 128]> mul_769 = mul(x=mul_684, y=exp_768)[name = string(\"mul_769\")];\n tensor<fp16, [1, 48, 128, 128]> matmul_770 = matmul(transpose_x=b_4, transpose_y=b_100, x=mul_769, y=sub_754)[name = string(\"matmul_770\")];\n tensor<fp16, [1, 48, 1, 1]> mul_771 = mul(x=maximum_690, y=c_294)[name = string(\"mul_771\")];\n tensor<fp16, [1, 48, 128, 128]> mul_772 = mul(x=matmul_770, y=mul_771)[name = string(\"mul_772\")];\n tensor<fp16, [1, 48, 1, 1]> exp_773 = exp(x=slice_by_size_766)[name = string(\"exp_773\")];\n tensor<fp16, [1, 48, 128, 128]> mul_774 = mul(x=add_675, y=exp_773)[name = string(\"mul_774\")];\n tensor<fp16, [1, 48, 128, 128]> add_775 = add(x=mul_774, y=mul_772)[name = string(\"add_775\")];\n tensor<fp16, [1, 48, 128, 128]> concat_776 = concat(axis=i_135, interleave=b_100, values=(add_665, add_765))[name = string(\"concat_776\")];\n tensor<fp16, [1, 1, 1, 128]> gate_norm_w_777 = const()[name = string(\"gate_norm_w_777\"), val = tensor<fp16, [1, 1, 1, 128]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554162048)))];\n tensor<fp16, [1, 48, 128, 128]> abs_778 = abs(x=concat_776)[name = string(\"abs_778\")];\n tensor<fp16, [1, 48, 128, 1]> reduce_max_779 = reduce_max(x=abs_778, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_max_779\")];\n tensor<fp16, [1, 48, 128, 1]> maximum_780 = maximum(x=reduce_max_779, y=c_6)[name = string(\"maximum_780\")];\n tensor<fp16, [1, 48, 128, 1]> real_div_781 = real_div(x=c_8, y=maximum_780)[name = string(\"real_div_781\")];\n tensor<fp16, [1, 48, 128, 128]> mul_782 = mul(x=concat_776, y=real_div_781)[name = string(\"mul_782\")];\n tensor<fp16, [1, 48, 128, 128]> pow_783 = pow(x=mul_782, y=c_11)[name = string(\"pow_783\")];\n tensor<fp16, [1, 48, 128, 1]> reduce_sum_784 = reduce_sum(x=pow_783, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_sum_784\")];\n tensor<fp16, [1, 48, 128, 1]> mul_785 = mul(x=reduce_sum_784, y=c_294)[name = string(\"mul_785\")];\n tensor<fp16, [1, 48, 128, 1]> pow_786 = pow(x=real_div_781, y=c_11)[name = string(\"pow_786\")];\n tensor<fp16, [1, 48, 128, 1]> mul_787 = mul(x=pow_786, y=c_17)[name = string(\"mul_787\")];\n tensor<fp16, [1, 48, 128, 1]> add_788 = add(x=mul_785, y=mul_787)[name = string(\"add_788\")];\n tensor<fp16, [1, 48, 128, 1]> rsqrt_789 = rsqrt(x=add_788, epsilon=c_20)[name = string(\"rsqrt_789\")];\n tensor<fp16, [1, 48, 128, 128]> mul_790 = mul(x=mul_782, y=rsqrt_789)[name = string(\"mul_790\")];\n tensor<fp16, [1, 48, 128, 128]> mul_791 = mul(x=mul_790, y=gate_norm_w_777)[name = string(\"mul_791\")];\n tensor<fp16, [1, 48, 128, 128]> reshape_792 = reshape(shape=iv_125, x=conv_502)[name = string(\"reshape_792\")];\n tensor<fp16, [1, 48, 128, 128]> transpose_793 = transpose(perm=iv_116, x=reshape_792)[name = string(\"transpose_793\")];\n tensor<fp16, [1, 48, 128, 128]> mul_794 = mul(x=transpose_793, y=c_35)[name = string(\"mul_794\")];\n tensor<fp16, [1, 48, 128, 128]> exp_795 = exp(x=mul_794)[name = string(\"exp_795\")];\n tensor<fp16, [1, 48, 128, 128]> add_796 = add(x=exp_795, y=c_8)[name = string(\"add_796\")];\n tensor<fp16, [1, 48, 128, 128]> real_div_797 = real_div(x=transpose_793, y=add_796)[name = string(\"real_div_797\")];\n tensor<fp16, [1, 48, 128, 128]> mul_798 = mul(x=mul_791, y=real_div_797)[name = string(\"mul_798\")];\n tensor<fp16, [1, 48, 128, 128]> transpose_799 = transpose(perm=iv_116, x=mul_798)[name = string(\"transpose_799\")];\n tensor<fp16, [1, 6144, 1, 128]> reshape_800 = reshape(shape=iv_123, x=transpose_799)[name = string(\"reshape_800\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_out_lut_801 = const()[name = string(\"w_out_lut_801\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(577755392)))];\n tensor<fp16, [5120, 6144, 1, 1]> w_out_802 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 6144, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(554162368))), lut = w_out_lut_801)[name = string(\"w_out_802\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_803 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_out_802, x=reshape_800)[name = string(\"conv_803\")];\n tensor<fp16, [1, 5120, 1, 128]> add_804 = add(x=add_481, y=conv_803)[name = string(\"add_804\")];\n tensor<fp16, [1, 5120, 1, 1]> norm_w_805 = const()[name = string(\"norm_w_805\"), val = tensor<fp16, [1, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(577796416)))];\n tensor<fp16, [1, 5120, 1, 128]> abs_806 = abs(x=add_804)[name = string(\"abs_806\")];\n tensor<fp16, [1, 1, 1, 128]> reduce_max_807 = reduce_max(x=abs_806, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_807\")];\n tensor<fp16, [1, 1, 1, 128]> maximum_808 = maximum(x=reduce_max_807, y=c_6)[name = string(\"maximum_808\")];\n tensor<fp16, [1, 1, 1, 128]> real_div_809 = real_div(x=c_8, y=maximum_808)[name = string(\"real_div_809\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_810 = mul(x=add_804, y=real_div_809)[name = string(\"mul_810\")];\n tensor<fp16, [1, 5120, 1, 128]> pow_811 = pow(x=mul_810, y=c_11)[name = string(\"pow_811\")];\n tensor<fp16, [1, 1, 1, 128]> reduce_sum_812 = reduce_sum(x=pow_811, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_sum_812\")];\n tensor<fp16, [1, 1, 1, 128]> mul_813 = mul(x=reduce_sum_812, y=c_14)[name = string(\"mul_813\")];\n tensor<fp16, [1, 1, 1, 128]> pow_814 = pow(x=real_div_809, y=c_11)[name = string(\"pow_814\")];\n tensor<fp16, [1, 1, 1, 128]> mul_815 = mul(x=pow_814, y=c_17)[name = string(\"mul_815\")];\n tensor<fp16, [1, 1, 1, 128]> add_816 = add(x=mul_813, y=mul_815)[name = string(\"add_816\")];\n tensor<fp16, [1, 1, 1, 128]> rsqrt_817 = rsqrt(x=add_816, epsilon=c_20)[name = string(\"rsqrt_817\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_818 = mul(x=mul_810, y=rsqrt_817)[name = string(\"mul_818\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_819 = mul(x=mul_818, y=norm_w_805)[name = string(\"mul_819\")];\n tensor<fp16, [2176, 1, 1, 1, 64, 1]> w_gate_up_lut_820 = const()[name = string(\"w_gate_up_lut_820\"), val = tensor<fp16, [2176, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(711500224)))];\n tensor<fp16, [34816, 5120, 1, 1]> w_gate_up_821 = constexpr_lut_to_dense(indices = tensor<uint6, [34816, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(577806720))), lut = w_gate_up_lut_820)[name = string(\"w_gate_up_821\")];\n tensor<fp16, [1, 34816, 1, 128]> conv_822 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_gate_up_821, x=mul_819)[name = string(\"conv_822\")];\n tensor<fp16, [1, 17408, 1, 128]> slice_by_size_823 = slice_by_size(x=conv_822, begin=iv_28, size=iv_31)[name = string(\"slice_by_size_823\")];\n tensor<fp16, [1, 17408, 1, 128]> slice_by_size_824 = slice_by_size(x=conv_822, begin=iv_33, size=iv_31)[name = string(\"slice_by_size_824\")];\n tensor<fp16, [1, 17408, 1, 128]> mul_825 = mul(x=slice_by_size_823, y=c_35)[name = string(\"mul_825\")];\n tensor<fp16, [1, 17408, 1, 128]> exp_826 = exp(x=mul_825)[name = string(\"exp_826\")];\n tensor<fp16, [1, 17408, 1, 128]> add_827 = add(x=exp_826, y=c_8)[name = string(\"add_827\")];\n tensor<fp16, [1, 17408, 1, 128]> real_div_828 = real_div(x=slice_by_size_823, y=add_827)[name = string(\"real_div_828\")];\n tensor<fp16, [1, 17408, 1, 128]> mul_829 = mul(x=real_div_828, y=slice_by_size_824)[name = string(\"mul_829\")];\n tensor<fp16, [1, 17408, 1, 128]> abs_830 = abs(x=mul_829)[name = string(\"abs_830\")];\n tensor<fp16, [1, 1, 1, 128]> reduce_max_831 = reduce_max(x=abs_830, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_831\")];\n tensor<fp16, [1, 1, 1, 128]> maximum_832 = maximum(x=reduce_max_831, y=c_44)[name = string(\"maximum_832\")];\n tensor<fp16, [1, 1, 1, 128]> real_div_833 = real_div(x=c_43, y=maximum_832)[name = string(\"real_div_833\")];\n tensor<fp16, [1, 17408, 1, 128]> mul_834 = mul(x=mul_829, y=real_div_833)[name = string(\"mul_834\")];\n tensor<fp16, [1, 4352, 1, 128]> slice_by_size_835 = slice_by_size(x=mul_834, begin=iv_28, size=iv_48)[name = string(\"slice_by_size_835\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_down0_lut_836 = const()[name = string(\"w_down0_lut_836\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(728490560)))];\n tensor<fp16, [5120, 4352, 1, 1]> w_down0_837 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 4352, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(711778816))), lut = w_down0_lut_836)[name = string(\"w_down0_837\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_838 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down0_837, x=slice_by_size_835)[name = string(\"conv_838\")];\n tensor<fp16, [1, 4352, 1, 128]> slice_by_size_839 = slice_by_size(x=mul_834, begin=iv_53, size=iv_48)[name = string(\"slice_by_size_839\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_down1_lut_840 = const()[name = string(\"w_down1_lut_840\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(745243328)))];\n tensor<fp16, [5120, 4352, 1, 1]> w_down1_841 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 4352, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(728531584))), lut = w_down1_lut_840)[name = string(\"w_down1_841\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_842 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down1_841, x=slice_by_size_839)[name = string(\"conv_842\")];\n tensor<fp16, [1, 4352, 1, 128]> slice_by_size_843 = slice_by_size(x=mul_834, begin=iv_58, size=iv_48)[name = string(\"slice_by_size_843\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_down2_lut_844 = const()[name = string(\"w_down2_lut_844\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(761996096)))];\n tensor<fp16, [5120, 4352, 1, 1]> w_down2_845 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 4352, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(745284352))), lut = w_down2_lut_844)[name = string(\"w_down2_845\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_846 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down2_845, x=slice_by_size_843)[name = string(\"conv_846\")];\n tensor<fp16, [1, 4352, 1, 128]> slice_by_size_847 = slice_by_size(x=mul_834, begin=iv_63, size=iv_48)[name = string(\"slice_by_size_847\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_down3_lut_848 = const()[name = string(\"w_down3_lut_848\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(778748864)))];\n tensor<fp16, [5120, 4352, 1, 1]> w_down3_849 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 4352, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(762037120))), lut = w_down3_lut_848)[name = string(\"w_down3_849\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_850 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down3_849, x=slice_by_size_847)[name = string(\"conv_850\")];\n tensor<fp16, [1, 5120, 1, 128]> add_851 = add(x=conv_838, y=conv_842)[name = string(\"add_851\")];\n tensor<fp16, [1, 5120, 1, 128]> add_852 = add(x=add_851, y=conv_846)[name = string(\"add_852\")];\n tensor<fp16, [1, 5120, 1, 128]> add_853 = add(x=add_852, y=conv_850)[name = string(\"add_853\")];\n tensor<fp16, [1, 1, 1, 128]> real_div_854 = real_div(x=c_8, y=real_div_833)[name = string(\"real_div_854\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_855 = mul(x=add_853, y=real_div_854)[name = string(\"mul_855\")];\n tensor<fp16, [1, 5120, 1, 128]> add_856 = add(x=add_804, y=mul_855)[name = string(\"add_856\")];\n tensor<fp16, [1, 5120, 1, 1]> norm_w_857 = const()[name = string(\"norm_w_857\"), val = tensor<fp16, [1, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(778789888)))];\n tensor<fp16, [1, 5120, 1, 128]> abs_858 = abs(x=add_856)[name = string(\"abs_858\")];\n tensor<fp16, [1, 1, 1, 128]> reduce_max_859 = reduce_max(x=abs_858, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_859\")];\n tensor<fp16, [1, 1, 1, 128]> maximum_860 = maximum(x=reduce_max_859, y=c_6)[name = string(\"maximum_860\")];\n tensor<fp16, [1, 1, 1, 128]> real_div_861 = real_div(x=c_8, y=maximum_860)[name = string(\"real_div_861\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_862 = mul(x=add_856, y=real_div_861)[name = string(\"mul_862\")];\n tensor<fp16, [1, 5120, 1, 128]> pow_863 = pow(x=mul_862, y=c_11)[name = string(\"pow_863\")];\n tensor<fp16, [1, 1, 1, 128]> reduce_sum_864 = reduce_sum(x=pow_863, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_sum_864\")];\n tensor<fp16, [1, 1, 1, 128]> mul_865 = mul(x=reduce_sum_864, y=c_14)[name = string(\"mul_865\")];\n tensor<fp16, [1, 1, 1, 128]> pow_866 = pow(x=real_div_861, y=c_11)[name = string(\"pow_866\")];\n tensor<fp16, [1, 1, 1, 128]> mul_867 = mul(x=pow_866, y=c_17)[name = string(\"mul_867\")];\n tensor<fp16, [1, 1, 1, 128]> add_868 = add(x=mul_865, y=mul_867)[name = string(\"add_868\")];\n tensor<fp16, [1, 1, 1, 128]> rsqrt_869 = rsqrt(x=add_868, epsilon=c_20)[name = string(\"rsqrt_869\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_870 = mul(x=mul_862, y=rsqrt_869)[name = string(\"mul_870\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_871 = mul(x=mul_870, y=norm_w_857)[name = string(\"mul_871\")];\n tensor<fp16, [640, 1, 1, 1, 64, 1]> w_qkv_lut_872 = const()[name = string(\"w_qkv_lut_872\"), val = tensor<fp16, [640, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(818121856)))];\n tensor<fp16, [10240, 5120, 1, 1]> w_qkv_873 = constexpr_lut_to_dense(indices = tensor<uint6, [10240, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(778800192))), lut = w_qkv_lut_872)[name = string(\"w_qkv_873\")];\n tensor<fp16, [1, 10240, 1, 128]> conv_874 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_qkv_873, x=mul_871)[name = string(\"conv_874\")];\n tensor<fp16, [384, 1, 1, 1, 64, 1]> w_z_lut_875 = const()[name = string(\"w_z_lut_875\"), val = tensor<fp16, [384, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(841796864)))];\n tensor<fp16, [6144, 5120, 1, 1]> w_z_876 = constexpr_lut_to_dense(indices = tensor<uint6, [6144, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(818203840))), lut = w_z_lut_875)[name = string(\"w_z_876\")];\n tensor<fp16, [1, 6144, 1, 128]> conv_877 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_z_876, x=mul_871)[name = string(\"conv_877\")];\n tensor<fp16, [48, 5120, 1, 1]> w_b_878 = const()[name = string(\"w_b_878\"), val = tensor<fp16, [48, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(841846080)))];\n tensor<fp16, [1, 48, 1, 128]> conv_879 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_b_878, x=mul_871)[name = string(\"conv_879\")];\n tensor<fp16, [48, 5120, 1, 1]> w_a_880 = const()[name = string(\"w_a_880\"), val = tensor<fp16, [48, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(842337664)))];\n tensor<fp16, [1, 48, 1, 128]> conv_881 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_a_880, x=mul_871)[name = string(\"conv_881\")];\n tensor<fp16, [1, 10240, 1, 131]> concat_882 = concat(axis=i_99, interleave=b_100, values=(conv_in2, conv_874))[name = string(\"concat_882\")];\n tensor<fp16, [1, 10240, 1, 3]> slice_by_size_883 = slice_by_size(x=concat_882, begin=iv_102, size=iv_103)[name = string(\"slice_by_size_883\")];\n tensor<fp16, [10240, 1, 1, 4]> w_conv_884 = const()[name = string(\"w_conv_884\"), val = tensor<fp16, [10240, 1, 1, 4]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(842829248)))];\n tensor<fp16, [1, 10240, 1, 128]> conv_885 = conv(dilations=iv_26, groups=i_106, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_conv_884, x=concat_882)[name = string(\"conv_885\")];\n tensor<fp16, [1, 10240, 1, 128]> mul_886 = mul(x=conv_885, y=c_35)[name = string(\"mul_886\")];\n tensor<fp16, [1, 10240, 1, 128]> exp_887 = exp(x=mul_886)[name = string(\"exp_887\")];\n tensor<fp16, [1, 10240, 1, 128]> add_888 = add(x=exp_887, y=c_8)[name = string(\"add_888\")];\n tensor<fp16, [1, 10240, 1, 128]> real_div_889 = real_div(x=conv_885, y=add_888)[name = string(\"real_div_889\")];\n tensor<fp16, [1, 2048, 1, 128]> slice_by_size_890 = slice_by_size(x=real_div_889, begin=iv_28, size=iv_112)[name = string(\"slice_by_size_890\")];\n tensor<fp16, [1, 16, 128, 128]> reshape_891 = reshape(shape=iv_114, x=slice_by_size_890)[name = string(\"reshape_891\")];\n tensor<fp16, [1, 16, 128, 128]> transpose_892 = transpose(perm=iv_116, x=reshape_891)[name = string(\"transpose_892\")];\n tensor<fp16, [1, 2048, 1, 128]> slice_by_size_893 = slice_by_size(x=real_div_889, begin=iv_118, size=iv_112)[name = string(\"slice_by_size_893\")];\n tensor<fp16, [1, 16, 128, 128]> reshape_894 = reshape(shape=iv_114, x=slice_by_size_893)[name = string(\"reshape_894\")];\n tensor<fp16, [1, 16, 128, 128]> transpose_895 = transpose(perm=iv_116, x=reshape_894)[name = string(\"transpose_895\")];\n tensor<fp16, [1, 6144, 1, 128]> slice_by_size_896 = slice_by_size(x=real_div_889, begin=iv_122, size=iv_123)[name = string(\"slice_by_size_896\")];\n tensor<fp16, [1, 48, 128, 128]> reshape_897 = reshape(shape=iv_125, x=slice_by_size_896)[name = string(\"reshape_897\")];\n tensor<fp16, [1, 48, 128, 128]> transpose_898 = transpose(perm=iv_116, x=reshape_897)[name = string(\"transpose_898\")];\n tensor<fp16, [1, 16, 128, 128]> pow_899 = pow(x=transpose_892, y=c_11)[name = string(\"pow_899\")];\n tensor<fp16, [1, 16, 128, 1]> reduce_sum_900 = reduce_sum(x=pow_899, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_sum_900\")];\n tensor<fp16, [1, 16, 128, 1]> rsqrt_901 = rsqrt(x=reduce_sum_900, epsilon=c_17)[name = string(\"rsqrt_901\")];\n tensor<fp16, [1, 16, 128, 128]> mul_902 = mul(x=transpose_892, y=rsqrt_901)[name = string(\"mul_902\")];\n tensor<fp16, [1, 16, 1, 16384]> reshape_903 = reshape(shape=iv_133, x=mul_902)[name = string(\"reshape_903\")];\n tensor<fp16, [1, 16, 3, 16384]> concat_904 = concat(axis=i_135, interleave=b_100, values=(reshape_903, reshape_903, reshape_903))[name = string(\"concat_904\")];\n tensor<fp16, [1, 48, 128, 128]> reshape_905 = reshape(shape=iv_125, x=concat_904)[name = string(\"reshape_905\")];\n tensor<fp16, [1, 16, 128, 128]> pow_906 = pow(x=transpose_895, y=c_11)[name = string(\"pow_906\")];\n tensor<fp16, [1, 16, 128, 1]> reduce_sum_907 = reduce_sum(x=pow_906, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_sum_907\")];\n tensor<fp16, [1, 16, 128, 1]> rsqrt_908 = rsqrt(x=reduce_sum_907, epsilon=c_17)[name = string(\"rsqrt_908\")];\n tensor<fp16, [1, 16, 128, 128]> mul_909 = mul(x=transpose_895, y=rsqrt_908)[name = string(\"mul_909\")];\n tensor<fp16, [1, 16, 1, 16384]> reshape_910 = reshape(shape=iv_133, x=mul_909)[name = string(\"reshape_910\")];\n tensor<fp16, [1, 16, 3, 16384]> concat_911 = concat(axis=i_135, interleave=b_100, values=(reshape_910, reshape_910, reshape_910))[name = string(\"concat_911\")];\n tensor<fp16, [1, 48, 128, 128]> reshape_912 = reshape(shape=iv_125, x=concat_911)[name = string(\"reshape_912\")];\n tensor<fp16, [1, 48, 1, 128]> mul_913 = mul(x=conv_879, y=c_35)[name = string(\"mul_913\")];\n tensor<fp16, [1, 48, 1, 128]> exp_914 = exp(x=mul_913)[name = string(\"exp_914\")];\n tensor<fp16, [1, 48, 1, 128]> add_915 = add(x=exp_914, y=c_8)[name = string(\"add_915\")];\n tensor<fp16, [1, 48, 1, 128]> real_div_916 = real_div(x=c_8, y=add_915)[name = string(\"real_div_916\")];\n tensor<fp16, [1, 48, 128, 1]> transpose_917 = transpose(perm=iv_116, x=real_div_916)[name = string(\"transpose_917\")];\n tensor<fp16, [1, 48, 1, 1]> dt_bias_918 = const()[name = string(\"dt_bias_918\"), val = tensor<fp16, [1, 48, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(842911232)))];\n tensor<fp16, [1, 48, 1, 1]> neg_a_919 = const()[name = string(\"neg_a_919\"), val = tensor<fp16, [1, 48, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(842911424)))];\n tensor<fp16, [1, 48, 1, 128]> add_920 = add(x=conv_881, y=dt_bias_918)[name = string(\"add_920\")];\n tensor<fp16, [1, 48, 1, 128]> minimum_921 = minimum(x=add_920, y=c_153)[name = string(\"minimum_921\")];\n tensor<fp16, [1, 48, 1, 128]> exp_922 = exp(x=minimum_921)[name = string(\"exp_922\")];\n tensor<fp16, [1, 48, 1, 128]> mul_923 = mul(x=exp_922, y=c_156)[name = string(\"mul_923\")];\n tensor<fp16, [1, 48, 1, 128]> mul_924 = mul(x=mul_923, y=c_35)[name = string(\"mul_924\")];\n tensor<fp16, [1, 48, 1, 128]> add_925 = add(x=mul_924, y=c_159)[name = string(\"add_925\")];\n tensor<fp16, [1, 48, 1, 128]> mul_926 = mul(x=exp_922, y=add_925)[name = string(\"mul_926\")];\n tensor<fp16, [1, 48, 1, 128]> mul_927 = mul(x=mul_926, y=c_35)[name = string(\"mul_927\")];\n tensor<fp16, [1, 48, 1, 128]> add_928 = add(x=mul_927, y=c_163)[name = string(\"add_928\")];\n tensor<fp16, [1, 48, 1, 128]> mul_929 = mul(x=exp_922, y=add_928)[name = string(\"mul_929\")];\n tensor<fp16, [1, 48, 1, 128]> mul_930 = mul(x=mul_929, y=c_35)[name = string(\"mul_930\")];\n tensor<fp16, [1, 48, 1, 128]> add_931 = add(x=mul_930, y=c_8)[name = string(\"add_931\")];\n tensor<fp16, [1, 48, 1, 128]> mul_932 = mul(x=exp_922, y=add_931)[name = string(\"mul_932\")];\n tensor<fp16, [1, 48, 1, 128]> minimum_933 = minimum(x=add_920, y=c_169)[name = string(\"minimum_933\")];\n tensor<fp16, [1, 48, 1, 128]> maximum_934 = maximum(x=minimum_933, y=c_153)[name = string(\"maximum_934\")];\n tensor<fp16, [1, 48, 1, 128]> softplus_935 = softplus(x=maximum_934)[name = string(\"softplus_935\")];\n tensor<fp16, [1, 48, 1, 128]> sub_936 = sub(x=add_920, y=c_169)[name = string(\"sub_936\")];\n tensor<fp16, [1, 48, 1, 128]> maximum_937 = maximum(x=sub_936, y=c_20)[name = string(\"maximum_937\")];\n tensor<fp16, [1, 48, 1, 128]> add_938 = add(x=softplus_935, y=maximum_937)[name = string(\"add_938\")];\n tensor<fp16, [1, 48, 1, 128]> mul_939 = mul(x=add_920, y=c_35)[name = string(\"mul_939\")];\n tensor<fp16, [1, 48, 1, 128]> add_940 = add(x=mul_939, y=c_153)[name = string(\"add_940\")];\n tensor<fp16, [1, 48, 1, 128]> mul_941 = mul(x=add_940, y=c_178)[name = string(\"mul_941\")];\n tensor<fp16, [1, 48, 1, 128]> maximum_942 = maximum(x=mul_941, y=c_20)[name = string(\"maximum_942\")];\n tensor<fp16, [1, 48, 1, 128]> minimum_943 = minimum(x=maximum_942, y=c_8)[name = string(\"minimum_943\")];\n tensor<fp16, [1, 48, 1, 128]> mul_944 = mul(x=minimum_943, y=mul_932)[name = string(\"mul_944\")];\n tensor<fp16, [1, 48, 1, 128]> mul_945 = mul(x=minimum_943, y=c_35)[name = string(\"mul_945\")];\n tensor<fp16, [1, 48, 1, 128]> add_946 = add(x=mul_945, y=c_8)[name = string(\"add_946\")];\n tensor<fp16, [1, 48, 1, 128]> mul_947 = mul(x=add_946, y=add_938)[name = string(\"mul_947\")];\n tensor<fp16, [1, 48, 1, 128]> add_948 = add(x=mul_944, y=mul_947)[name = string(\"add_948\")];\n tensor<fp16, [1, 48, 1, 128]> mul_949 = mul(x=add_948, y=neg_a_919)[name = string(\"mul_949\")];\n tensor<fp16, [1, 48, 128, 1]> transpose_950 = transpose(perm=iv_116, x=mul_949)[name = string(\"transpose_950\")];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_951 = slice_by_size(x=reshape_905, begin=iv_28, size=iv_189)[name = string(\"slice_by_size_951\")];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_952 = slice_by_size(x=reshape_912, begin=iv_28, size=iv_189)[name = string(\"slice_by_size_952\")];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_953 = slice_by_size(x=transpose_898, begin=iv_28, size=iv_189)[name = string(\"slice_by_size_953\")];\n tensor<fp16, [1, 48, 64, 1]> slice_by_size_954 = slice_by_size(x=transpose_917, begin=iv_28, size=iv_193)[name = string(\"slice_by_size_954\")];\n tensor<fp16, [1, 48, 64, 1]> slice_by_size_955 = slice_by_size(x=transpose_950, begin=iv_28, size=iv_193)[name = string(\"slice_by_size_955\")];\n tensor<fp16, [1, 1, 64, 64]> tril_956 = const()[name = string(\"tril_956\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(842911616)))];\n tensor<fp16, [1, 1, 64, 64]> tril_strict_957 = const()[name = string(\"tril_strict_957\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(842919872)))];\n tensor<fp16, [1, 48, 64, 128]> mul_958 = mul(x=slice_by_size_951, y=c_198)[name = string(\"mul_958\")];\n tensor<fp16, [1, 48, 64, 128]> mul_959 = mul(x=slice_by_size_952, y=c_198)[name = string(\"mul_959\")];\n tensor<fp16, [1, 48, 64, 128]> mul_960 = mul(x=mul_959, y=slice_by_size_954)[name = string(\"mul_960\")];\n tensor<fp16, [1, 48, 64, 128]> mul_961 = mul(x=slice_by_size_953, y=slice_by_size_954)[name = string(\"mul_961\")];\n tensor<fp16, [1, 48, 64, 128]> abs_962 = abs(x=mul_961)[name = string(\"abs_962\")];\n tensor<fp16, [1, 48, 64, 1]> reduce_max_963 = reduce_max(x=abs_962, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_max_963\")];\n tensor<fp16, [1, 48, 1, 1]> reduce_max_964 = reduce_max(x=reduce_max_963, axes=iv_205, keep_dims=b_4)[name = string(\"reduce_max_964\")];\n tensor<fp16, [1, 48, 1, 1]> maximum_965 = maximum(x=reduce_max_964, y=c_207)[name = string(\"maximum_965\")];\n tensor<fp16, [1, 48, 1, 1]> real_div_966 = real_div(x=c_8, y=maximum_965)[name = string(\"real_div_966\")];\n tensor<fp16, [1, 48, 1, 1]> mul_967 = mul(x=real_div_966, y=c_169)[name = string(\"mul_967\")];\n tensor<fp16, [1, 48, 64, 128]> mul_968 = mul(x=mul_961, y=mul_967)[name = string(\"mul_968\")];\n tensor<fp16, [1, 48, 64, 1]> matmul_969 = matmul(transpose_x=b_100, transpose_y=b_100, x=tril_956, y=slice_by_size_955)[name = string(\"matmul_969\")];\n tensor<fp16, [1, 48, 1, 64]> transpose_970 = transpose(perm=iv_116, x=matmul_969)[name = string(\"transpose_970\")];\n tensor<fp16, [1, 48, 64, 64]> sub_971 = sub(x=matmul_969, y=transpose_970)[name = string(\"sub_971\")];\n tensor<fp16, [1, 48, 64, 64]> mul_972 = mul(x=sub_971, y=tril_956)[name = string(\"mul_972\")];\n tensor<fp16, [1, 48, 64, 64]> exp_973 = exp(x=mul_972)[name = string(\"exp_973\")];\n tensor<fp16, [1, 48, 64, 64]> mul_974 = mul(x=exp_973, y=tril_956)[name = string(\"mul_974\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_975 = matmul(transpose_x=b_100, transpose_y=b_4, x=mul_960, y=mul_959)[name = string(\"matmul_975\")];\n tensor<fp16, [1, 48, 64, 64]> mul_976 = mul(x=matmul_975, y=c_219)[name = string(\"mul_976\")];\n tensor<fp16, [1, 48, 64, 64]> mul_977 = mul(x=mul_976, y=mul_974)[name = string(\"mul_977\")];\n tensor<fp16, [1, 48, 64, 64]> mul_978 = mul(x=mul_977, y=tril_strict_957)[name = string(\"mul_978\")];\n tensor<fp16, [1, 1, 64, 64]> eye_979 = const()[name = string(\"eye_979\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(842928128)))];\n tensor<fp16, [1, 1, 64, 64]> merge0_980 = const()[name = string(\"merge0_980\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(842936384)))];\n tensor<fp16, [1, 48, 64, 64]> mul_981 = mul(x=mul_978, y=merge0_980)[name = string(\"mul_981\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_982 = matmul(transpose_x=b_100, transpose_y=b_100, x=eye_979, y=mul_981)[name = string(\"matmul_982\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_983 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_982, y=eye_979)[name = string(\"matmul_983\")];\n tensor<fp16, [1, 48, 64, 64]> sub_984 = sub(x=eye_979, y=matmul_983)[name = string(\"sub_984\")];\n tensor<fp16, [1, 1, 64, 64]> merge1_985 = const()[name = string(\"merge1_985\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(842944640)))];\n tensor<fp16, [1, 48, 64, 64]> mul_986 = mul(x=mul_978, y=merge1_985)[name = string(\"mul_986\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_987 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_984, y=mul_986)[name = string(\"matmul_987\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_988 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_987, y=sub_984)[name = string(\"matmul_988\")];\n tensor<fp16, [1, 48, 64, 64]> sub_989 = sub(x=sub_984, y=matmul_988)[name = string(\"sub_989\")];\n tensor<fp16, [1, 1, 64, 64]> merge2_990 = const()[name = string(\"merge2_990\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(842952896)))];\n tensor<fp16, [1, 48, 64, 64]> mul_991 = mul(x=mul_978, y=merge2_990)[name = string(\"mul_991\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_992 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_989, y=mul_991)[name = string(\"matmul_992\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_993 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_992, y=sub_989)[name = string(\"matmul_993\")];\n tensor<fp16, [1, 48, 64, 64]> sub_994 = sub(x=sub_989, y=matmul_993)[name = string(\"sub_994\")];\n tensor<fp16, [1, 1, 64, 64]> merge3_995 = const()[name = string(\"merge3_995\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(842961152)))];\n tensor<fp16, [1, 48, 64, 64]> mul_996 = mul(x=mul_978, y=merge3_995)[name = string(\"mul_996\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_997 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_994, y=mul_996)[name = string(\"matmul_997\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_998 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_997, y=sub_994)[name = string(\"matmul_998\")];\n tensor<fp16, [1, 48, 64, 64]> sub_999 = sub(x=sub_994, y=matmul_998)[name = string(\"sub_999\")];\n tensor<fp16, [1, 1, 64, 64]> merge4_1000 = const()[name = string(\"merge4_1000\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(842969408)))];\n tensor<fp16, [1, 48, 64, 64]> mul_1001 = mul(x=mul_978, y=merge4_1000)[name = string(\"mul_1001\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1002 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_999, y=mul_1001)[name = string(\"matmul_1002\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1003 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_1002, y=sub_999)[name = string(\"matmul_1003\")];\n tensor<fp16, [1, 48, 64, 64]> sub_1004 = sub(x=sub_999, y=matmul_1003)[name = string(\"sub_1004\")];\n tensor<fp16, [1, 1, 64, 64]> merge5_1005 = const()[name = string(\"merge5_1005\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(842977664)))];\n tensor<fp16, [1, 48, 64, 64]> mul_1006 = mul(x=mul_978, y=merge5_1005)[name = string(\"mul_1006\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1007 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_1004, y=mul_1006)[name = string(\"matmul_1007\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1008 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_1007, y=sub_1004)[name = string(\"matmul_1008\")];\n tensor<fp16, [1, 48, 64, 64]> sub_1009 = sub(x=sub_1004, y=matmul_1008)[name = string(\"sub_1009\")];\n tensor<fp16, [1, 48, 64, 64]> add_1010 = add(x=eye_979, y=mul_978)[name = string(\"add_1010\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1011 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_1010, y=sub_1009)[name = string(\"matmul_1011\")];\n tensor<fp16, [1, 48, 64, 64]> sub_1012 = sub(x=eye_979, y=matmul_1011)[name = string(\"sub_1012\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1013 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_1009, y=sub_1012)[name = string(\"matmul_1013\")];\n tensor<fp16, [1, 48, 64, 64]> add_1014 = add(x=sub_1009, y=matmul_1013)[name = string(\"add_1014\")];\n tensor<fp16, [1, 48, 64, 1]> exp_1015 = exp(x=matmul_969)[name = string(\"exp_1015\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_1016 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_1014, y=mul_968)[name = string(\"matmul_1016\")];\n tensor<fp16, [1, 48, 64, 128]> mul_1017 = mul(x=mul_960, y=exp_1015)[name = string(\"mul_1017\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_1018 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_1014, y=mul_1017)[name = string(\"matmul_1018\")];\n tensor<fp16, [1, 48, 128, 128]> abs_1019 = abs(x=rec_in2)[name = string(\"abs_1019\")];\n tensor<fp16, [1, 48, 128, 1]> reduce_max_1020 = reduce_max(x=abs_1019, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_max_1020\")];\n tensor<fp16, [1, 48, 1, 1]> reduce_max_1021 = reduce_max(x=reduce_max_1020, axes=iv_205, keep_dims=b_4)[name = string(\"reduce_max_1021\")];\n tensor<fp16, [1, 48, 1, 1]> maximum_1022 = maximum(x=reduce_max_1021, y=c_207)[name = string(\"maximum_1022\")];\n tensor<fp16, [1, 48, 1, 1]> real_div_1023 = real_div(x=c_8, y=maximum_1022)[name = string(\"real_div_1023\")];\n tensor<fp16, [1, 48, 128, 128]> mul_1024 = mul(x=rec_in2, y=real_div_1023)[name = string(\"mul_1024\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_1025 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_1018, y=mul_1024)[name = string(\"matmul_1025\")];\n tensor<fp16, [1, 48, 1, 1]> mul_1026 = mul(x=maximum_1022, y=real_div_966)[name = string(\"mul_1026\")];\n tensor<fp16, [1, 48, 1, 1]> mul_1027 = mul(x=mul_1026, y=c_163)[name = string(\"mul_1027\")];\n tensor<fp16, [1, 48, 64, 128]> mul_1028 = mul(x=matmul_1025, y=mul_1027)[name = string(\"mul_1028\")];\n tensor<fp16, [1, 48, 64, 128]> sub_1029 = sub(x=matmul_1016, y=mul_1028)[name = string(\"sub_1029\")];\n tensor<fp16, [1, 48, 64, 128]> mul_1030 = mul(x=mul_958, y=exp_1015)[name = string(\"mul_1030\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_1031 = matmul(transpose_x=b_100, transpose_y=b_100, x=mul_1030, y=mul_1024)[name = string(\"matmul_1031\")];\n tensor<fp16, [1, 48, 1, 1]> mul_1032 = mul(x=maximum_1022, y=c_276)[name = string(\"mul_1032\")];\n tensor<fp16, [1, 48, 64, 128]> mul_1033 = mul(x=matmul_1031, y=mul_1032)[name = string(\"mul_1033\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1034 = matmul(transpose_x=b_100, transpose_y=b_4, x=mul_958, y=mul_959)[name = string(\"matmul_1034\")];\n tensor<fp16, [1, 48, 64, 64]> mul_1035 = mul(x=matmul_1034, y=mul_974)[name = string(\"mul_1035\")];\n tensor<fp16, [1, 48, 64, 64]> mul_1036 = mul(x=mul_1035, y=c_6)[name = string(\"mul_1036\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_1037 = matmul(transpose_x=b_100, transpose_y=b_100, x=mul_1036, y=sub_1029)[name = string(\"matmul_1037\")];\n tensor<fp16, [1, 48, 1, 1]> mul_1038 = mul(x=maximum_965, y=c_283)[name = string(\"mul_1038\")];\n tensor<fp16, [1, 48, 64, 128]> mul_1039 = mul(x=matmul_1037, y=mul_1038)[name = string(\"mul_1039\")];\n tensor<fp16, [1, 48, 64, 128]> add_1040 = add(x=mul_1033, y=mul_1039)[name = string(\"add_1040\")];\n tensor<fp16, [1, 48, 1, 1]> slice_by_size_1041 = slice_by_size(x=matmul_969, begin=iv_287, size=iv_288)[name = string(\"slice_by_size_1041\")];\n tensor<fp16, [1, 48, 64, 1]> sub_1042 = sub(x=slice_by_size_1041, y=matmul_969)[name = string(\"sub_1042\")];\n tensor<fp16, [1, 48, 64, 1]> exp_1043 = exp(x=sub_1042)[name = string(\"exp_1043\")];\n tensor<fp16, [1, 48, 64, 128]> mul_1044 = mul(x=mul_959, y=exp_1043)[name = string(\"mul_1044\")];\n tensor<fp16, [1, 48, 128, 128]> matmul_1045 = matmul(transpose_x=b_4, transpose_y=b_100, x=mul_1044, y=sub_1029)[name = string(\"matmul_1045\")];\n tensor<fp16, [1, 48, 1, 1]> mul_1046 = mul(x=maximum_965, y=c_294)[name = string(\"mul_1046\")];\n tensor<fp16, [1, 48, 128, 128]> mul_1047 = mul(x=matmul_1045, y=mul_1046)[name = string(\"mul_1047\")];\n tensor<fp16, [1, 48, 1, 1]> exp_1048 = exp(x=slice_by_size_1041)[name = string(\"exp_1048\")];\n tensor<fp16, [1, 48, 128, 128]> mul_1049 = mul(x=rec_in2, y=exp_1048)[name = string(\"mul_1049\")];\n tensor<fp16, [1, 48, 128, 128]> add_1050 = add(x=mul_1049, y=mul_1047)[name = string(\"add_1050\")];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_1051 = slice_by_size(x=reshape_905, begin=iv_300, size=iv_189)[name = string(\"slice_by_size_1051\")];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_1052 = slice_by_size(x=reshape_912, begin=iv_300, size=iv_189)[name = string(\"slice_by_size_1052\")];\n tensor<fp16, [1, 48, 64, 128]> slice_by_size_1053 = slice_by_size(x=transpose_898, begin=iv_300, size=iv_189)[name = string(\"slice_by_size_1053\")];\n tensor<fp16, [1, 48, 64, 1]> slice_by_size_1054 = slice_by_size(x=transpose_917, begin=iv_300, size=iv_193)[name = string(\"slice_by_size_1054\")];\n tensor<fp16, [1, 48, 64, 1]> slice_by_size_1055 = slice_by_size(x=transpose_950, begin=iv_300, size=iv_193)[name = string(\"slice_by_size_1055\")];\n tensor<fp16, [1, 1, 64, 64]> tril_1056 = const()[name = string(\"tril_1056\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(842985920)))];\n tensor<fp16, [1, 1, 64, 64]> tril_strict_1057 = const()[name = string(\"tril_strict_1057\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(842994176)))];\n tensor<fp16, [1, 48, 64, 128]> mul_1058 = mul(x=slice_by_size_1051, y=c_198)[name = string(\"mul_1058\")];\n tensor<fp16, [1, 48, 64, 128]> mul_1059 = mul(x=slice_by_size_1052, y=c_198)[name = string(\"mul_1059\")];\n tensor<fp16, [1, 48, 64, 128]> mul_1060 = mul(x=mul_1059, y=slice_by_size_1054)[name = string(\"mul_1060\")];\n tensor<fp16, [1, 48, 64, 128]> mul_1061 = mul(x=slice_by_size_1053, y=slice_by_size_1054)[name = string(\"mul_1061\")];\n tensor<fp16, [1, 48, 64, 128]> abs_1062 = abs(x=mul_1061)[name = string(\"abs_1062\")];\n tensor<fp16, [1, 48, 64, 1]> reduce_max_1063 = reduce_max(x=abs_1062, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_max_1063\")];\n tensor<fp16, [1, 48, 1, 1]> reduce_max_1064 = reduce_max(x=reduce_max_1063, axes=iv_205, keep_dims=b_4)[name = string(\"reduce_max_1064\")];\n tensor<fp16, [1, 48, 1, 1]> maximum_1065 = maximum(x=reduce_max_1064, y=c_207)[name = string(\"maximum_1065\")];\n tensor<fp16, [1, 48, 1, 1]> real_div_1066 = real_div(x=c_8, y=maximum_1065)[name = string(\"real_div_1066\")];\n tensor<fp16, [1, 48, 1, 1]> mul_1067 = mul(x=real_div_1066, y=c_169)[name = string(\"mul_1067\")];\n tensor<fp16, [1, 48, 64, 128]> mul_1068 = mul(x=mul_1061, y=mul_1067)[name = string(\"mul_1068\")];\n tensor<fp16, [1, 48, 64, 1]> matmul_1069 = matmul(transpose_x=b_100, transpose_y=b_100, x=tril_1056, y=slice_by_size_1055)[name = string(\"matmul_1069\")];\n tensor<fp16, [1, 48, 1, 64]> transpose_1070 = transpose(perm=iv_116, x=matmul_1069)[name = string(\"transpose_1070\")];\n tensor<fp16, [1, 48, 64, 64]> sub_1071 = sub(x=matmul_1069, y=transpose_1070)[name = string(\"sub_1071\")];\n tensor<fp16, [1, 48, 64, 64]> mul_1072 = mul(x=sub_1071, y=tril_1056)[name = string(\"mul_1072\")];\n tensor<fp16, [1, 48, 64, 64]> exp_1073 = exp(x=mul_1072)[name = string(\"exp_1073\")];\n tensor<fp16, [1, 48, 64, 64]> mul_1074 = mul(x=exp_1073, y=tril_1056)[name = string(\"mul_1074\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1075 = matmul(transpose_x=b_100, transpose_y=b_4, x=mul_1060, y=mul_1059)[name = string(\"matmul_1075\")];\n tensor<fp16, [1, 48, 64, 64]> mul_1076 = mul(x=matmul_1075, y=c_219)[name = string(\"mul_1076\")];\n tensor<fp16, [1, 48, 64, 64]> mul_1077 = mul(x=mul_1076, y=mul_1074)[name = string(\"mul_1077\")];\n tensor<fp16, [1, 48, 64, 64]> mul_1078 = mul(x=mul_1077, y=tril_strict_1057)[name = string(\"mul_1078\")];\n tensor<fp16, [1, 1, 64, 64]> eye_1079 = const()[name = string(\"eye_1079\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(843002432)))];\n tensor<fp16, [1, 1, 64, 64]> merge0_1080 = const()[name = string(\"merge0_1080\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(843010688)))];\n tensor<fp16, [1, 48, 64, 64]> mul_1081 = mul(x=mul_1078, y=merge0_1080)[name = string(\"mul_1081\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1082 = matmul(transpose_x=b_100, transpose_y=b_100, x=eye_1079, y=mul_1081)[name = string(\"matmul_1082\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1083 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_1082, y=eye_1079)[name = string(\"matmul_1083\")];\n tensor<fp16, [1, 48, 64, 64]> sub_1084 = sub(x=eye_1079, y=matmul_1083)[name = string(\"sub_1084\")];\n tensor<fp16, [1, 1, 64, 64]> merge1_1085 = const()[name = string(\"merge1_1085\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(843018944)))];\n tensor<fp16, [1, 48, 64, 64]> mul_1086 = mul(x=mul_1078, y=merge1_1085)[name = string(\"mul_1086\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1087 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_1084, y=mul_1086)[name = string(\"matmul_1087\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1088 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_1087, y=sub_1084)[name = string(\"matmul_1088\")];\n tensor<fp16, [1, 48, 64, 64]> sub_1089 = sub(x=sub_1084, y=matmul_1088)[name = string(\"sub_1089\")];\n tensor<fp16, [1, 1, 64, 64]> merge2_1090 = const()[name = string(\"merge2_1090\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(843027200)))];\n tensor<fp16, [1, 48, 64, 64]> mul_1091 = mul(x=mul_1078, y=merge2_1090)[name = string(\"mul_1091\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1092 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_1089, y=mul_1091)[name = string(\"matmul_1092\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1093 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_1092, y=sub_1089)[name = string(\"matmul_1093\")];\n tensor<fp16, [1, 48, 64, 64]> sub_1094 = sub(x=sub_1089, y=matmul_1093)[name = string(\"sub_1094\")];\n tensor<fp16, [1, 1, 64, 64]> merge3_1095 = const()[name = string(\"merge3_1095\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(843035456)))];\n tensor<fp16, [1, 48, 64, 64]> mul_1096 = mul(x=mul_1078, y=merge3_1095)[name = string(\"mul_1096\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1097 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_1094, y=mul_1096)[name = string(\"matmul_1097\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1098 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_1097, y=sub_1094)[name = string(\"matmul_1098\")];\n tensor<fp16, [1, 48, 64, 64]> sub_1099 = sub(x=sub_1094, y=matmul_1098)[name = string(\"sub_1099\")];\n tensor<fp16, [1, 1, 64, 64]> merge4_1100 = const()[name = string(\"merge4_1100\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(843043712)))];\n tensor<fp16, [1, 48, 64, 64]> mul_1101 = mul(x=mul_1078, y=merge4_1100)[name = string(\"mul_1101\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1102 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_1099, y=mul_1101)[name = string(\"matmul_1102\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1103 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_1102, y=sub_1099)[name = string(\"matmul_1103\")];\n tensor<fp16, [1, 48, 64, 64]> sub_1104 = sub(x=sub_1099, y=matmul_1103)[name = string(\"sub_1104\")];\n tensor<fp16, [1, 1, 64, 64]> merge5_1105 = const()[name = string(\"merge5_1105\"), val = tensor<fp16, [1, 1, 64, 64]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(843051968)))];\n tensor<fp16, [1, 48, 64, 64]> mul_1106 = mul(x=mul_1078, y=merge5_1105)[name = string(\"mul_1106\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1107 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_1104, y=mul_1106)[name = string(\"matmul_1107\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1108 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_1107, y=sub_1104)[name = string(\"matmul_1108\")];\n tensor<fp16, [1, 48, 64, 64]> sub_1109 = sub(x=sub_1104, y=matmul_1108)[name = string(\"sub_1109\")];\n tensor<fp16, [1, 48, 64, 64]> add_1110 = add(x=eye_1079, y=mul_1078)[name = string(\"add_1110\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1111 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_1110, y=sub_1109)[name = string(\"matmul_1111\")];\n tensor<fp16, [1, 48, 64, 64]> sub_1112 = sub(x=eye_1079, y=matmul_1111)[name = string(\"sub_1112\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1113 = matmul(transpose_x=b_100, transpose_y=b_100, x=sub_1109, y=sub_1112)[name = string(\"matmul_1113\")];\n tensor<fp16, [1, 48, 64, 64]> add_1114 = add(x=sub_1109, y=matmul_1113)[name = string(\"add_1114\")];\n tensor<fp16, [1, 48, 64, 1]> exp_1115 = exp(x=matmul_1069)[name = string(\"exp_1115\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_1116 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_1114, y=mul_1068)[name = string(\"matmul_1116\")];\n tensor<fp16, [1, 48, 64, 128]> mul_1117 = mul(x=mul_1060, y=exp_1115)[name = string(\"mul_1117\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_1118 = matmul(transpose_x=b_100, transpose_y=b_100, x=add_1114, y=mul_1117)[name = string(\"matmul_1118\")];\n tensor<fp16, [1, 48, 128, 128]> abs_1119 = abs(x=add_1050)[name = string(\"abs_1119\")];\n tensor<fp16, [1, 48, 128, 1]> reduce_max_1120 = reduce_max(x=abs_1119, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_max_1120\")];\n tensor<fp16, [1, 48, 1, 1]> reduce_max_1121 = reduce_max(x=reduce_max_1120, axes=iv_205, keep_dims=b_4)[name = string(\"reduce_max_1121\")];\n tensor<fp16, [1, 48, 1, 1]> maximum_1122 = maximum(x=reduce_max_1121, y=c_207)[name = string(\"maximum_1122\")];\n tensor<fp16, [1, 48, 1, 1]> real_div_1123 = real_div(x=c_8, y=maximum_1122)[name = string(\"real_div_1123\")];\n tensor<fp16, [1, 48, 128, 128]> mul_1124 = mul(x=add_1050, y=real_div_1123)[name = string(\"mul_1124\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_1125 = matmul(transpose_x=b_100, transpose_y=b_100, x=matmul_1118, y=mul_1124)[name = string(\"matmul_1125\")];\n tensor<fp16, [1, 48, 1, 1]> mul_1126 = mul(x=maximum_1122, y=real_div_1066)[name = string(\"mul_1126\")];\n tensor<fp16, [1, 48, 1, 1]> mul_1127 = mul(x=mul_1126, y=c_163)[name = string(\"mul_1127\")];\n tensor<fp16, [1, 48, 64, 128]> mul_1128 = mul(x=matmul_1125, y=mul_1127)[name = string(\"mul_1128\")];\n tensor<fp16, [1, 48, 64, 128]> sub_1129 = sub(x=matmul_1116, y=mul_1128)[name = string(\"sub_1129\")];\n tensor<fp16, [1, 48, 64, 128]> mul_1130 = mul(x=mul_1058, y=exp_1115)[name = string(\"mul_1130\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_1131 = matmul(transpose_x=b_100, transpose_y=b_100, x=mul_1130, y=mul_1124)[name = string(\"matmul_1131\")];\n tensor<fp16, [1, 48, 1, 1]> mul_1132 = mul(x=maximum_1122, y=c_276)[name = string(\"mul_1132\")];\n tensor<fp16, [1, 48, 64, 128]> mul_1133 = mul(x=matmul_1131, y=mul_1132)[name = string(\"mul_1133\")];\n tensor<fp16, [1, 48, 64, 64]> matmul_1134 = matmul(transpose_x=b_100, transpose_y=b_4, x=mul_1058, y=mul_1059)[name = string(\"matmul_1134\")];\n tensor<fp16, [1, 48, 64, 64]> mul_1135 = mul(x=matmul_1134, y=mul_1074)[name = string(\"mul_1135\")];\n tensor<fp16, [1, 48, 64, 64]> mul_1136 = mul(x=mul_1135, y=c_6)[name = string(\"mul_1136\")];\n tensor<fp16, [1, 48, 64, 128]> matmul_1137 = matmul(transpose_x=b_100, transpose_y=b_100, x=mul_1136, y=sub_1129)[name = string(\"matmul_1137\")];\n tensor<fp16, [1, 48, 1, 1]> mul_1138 = mul(x=maximum_1065, y=c_283)[name = string(\"mul_1138\")];\n tensor<fp16, [1, 48, 64, 128]> mul_1139 = mul(x=matmul_1137, y=mul_1138)[name = string(\"mul_1139\")];\n tensor<fp16, [1, 48, 64, 128]> add_1140 = add(x=mul_1133, y=mul_1139)[name = string(\"add_1140\")];\n tensor<fp16, [1, 48, 1, 1]> slice_by_size_1141 = slice_by_size(x=matmul_1069, begin=iv_287, size=iv_288)[name = string(\"slice_by_size_1141\")];\n tensor<fp16, [1, 48, 64, 1]> sub_1142 = sub(x=slice_by_size_1141, y=matmul_1069)[name = string(\"sub_1142\")];\n tensor<fp16, [1, 48, 64, 1]> exp_1143 = exp(x=sub_1142)[name = string(\"exp_1143\")];\n tensor<fp16, [1, 48, 64, 128]> mul_1144 = mul(x=mul_1059, y=exp_1143)[name = string(\"mul_1144\")];\n tensor<fp16, [1, 48, 128, 128]> matmul_1145 = matmul(transpose_x=b_4, transpose_y=b_100, x=mul_1144, y=sub_1129)[name = string(\"matmul_1145\")];\n tensor<fp16, [1, 48, 1, 1]> mul_1146 = mul(x=maximum_1065, y=c_294)[name = string(\"mul_1146\")];\n tensor<fp16, [1, 48, 128, 128]> mul_1147 = mul(x=matmul_1145, y=mul_1146)[name = string(\"mul_1147\")];\n tensor<fp16, [1, 48, 1, 1]> exp_1148 = exp(x=slice_by_size_1141)[name = string(\"exp_1148\")];\n tensor<fp16, [1, 48, 128, 128]> mul_1149 = mul(x=add_1050, y=exp_1148)[name = string(\"mul_1149\")];\n tensor<fp16, [1, 48, 128, 128]> add_1150 = add(x=mul_1149, y=mul_1147)[name = string(\"add_1150\")];\n tensor<fp16, [1, 48, 128, 128]> concat_1151 = concat(axis=i_135, interleave=b_100, values=(add_1040, add_1140))[name = string(\"concat_1151\")];\n tensor<fp16, [1, 1, 1, 128]> gate_norm_w_1152 = const()[name = string(\"gate_norm_w_1152\"), val = tensor<fp16, [1, 1, 1, 128]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(843060224)))];\n tensor<fp16, [1, 48, 128, 128]> abs_1153 = abs(x=concat_1151)[name = string(\"abs_1153\")];\n tensor<fp16, [1, 48, 128, 1]> reduce_max_1154 = reduce_max(x=abs_1153, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_max_1154\")];\n tensor<fp16, [1, 48, 128, 1]> maximum_1155 = maximum(x=reduce_max_1154, y=c_6)[name = string(\"maximum_1155\")];\n tensor<fp16, [1, 48, 128, 1]> real_div_1156 = real_div(x=c_8, y=maximum_1155)[name = string(\"real_div_1156\")];\n tensor<fp16, [1, 48, 128, 128]> mul_1157 = mul(x=concat_1151, y=real_div_1156)[name = string(\"mul_1157\")];\n tensor<fp16, [1, 48, 128, 128]> pow_1158 = pow(x=mul_1157, y=c_11)[name = string(\"pow_1158\")];\n tensor<fp16, [1, 48, 128, 1]> reduce_sum_1159 = reduce_sum(x=pow_1158, axes=iv_129, keep_dims=b_4)[name = string(\"reduce_sum_1159\")];\n tensor<fp16, [1, 48, 128, 1]> mul_1160 = mul(x=reduce_sum_1159, y=c_294)[name = string(\"mul_1160\")];\n tensor<fp16, [1, 48, 128, 1]> pow_1161 = pow(x=real_div_1156, y=c_11)[name = string(\"pow_1161\")];\n tensor<fp16, [1, 48, 128, 1]> mul_1162 = mul(x=pow_1161, y=c_17)[name = string(\"mul_1162\")];\n tensor<fp16, [1, 48, 128, 1]> add_1163 = add(x=mul_1160, y=mul_1162)[name = string(\"add_1163\")];\n tensor<fp16, [1, 48, 128, 1]> rsqrt_1164 = rsqrt(x=add_1163, epsilon=c_20)[name = string(\"rsqrt_1164\")];\n tensor<fp16, [1, 48, 128, 128]> mul_1165 = mul(x=mul_1157, y=rsqrt_1164)[name = string(\"mul_1165\")];\n tensor<fp16, [1, 48, 128, 128]> mul_1166 = mul(x=mul_1165, y=gate_norm_w_1152)[name = string(\"mul_1166\")];\n tensor<fp16, [1, 48, 128, 128]> reshape_1167 = reshape(shape=iv_125, x=conv_877)[name = string(\"reshape_1167\")];\n tensor<fp16, [1, 48, 128, 128]> transpose_1168 = transpose(perm=iv_116, x=reshape_1167)[name = string(\"transpose_1168\")];\n tensor<fp16, [1, 48, 128, 128]> mul_1169 = mul(x=transpose_1168, y=c_35)[name = string(\"mul_1169\")];\n tensor<fp16, [1, 48, 128, 128]> exp_1170 = exp(x=mul_1169)[name = string(\"exp_1170\")];\n tensor<fp16, [1, 48, 128, 128]> add_1171 = add(x=exp_1170, y=c_8)[name = string(\"add_1171\")];\n tensor<fp16, [1, 48, 128, 128]> real_div_1172 = real_div(x=transpose_1168, y=add_1171)[name = string(\"real_div_1172\")];\n tensor<fp16, [1, 48, 128, 128]> mul_1173 = mul(x=mul_1166, y=real_div_1172)[name = string(\"mul_1173\")];\n tensor<fp16, [1, 48, 128, 128]> transpose_1174 = transpose(perm=iv_116, x=mul_1173)[name = string(\"transpose_1174\")];\n tensor<fp16, [1, 6144, 1, 128]> reshape_1175 = reshape(shape=iv_123, x=transpose_1174)[name = string(\"reshape_1175\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_out_lut_1176 = const()[name = string(\"w_out_lut_1176\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(866653568)))];\n tensor<fp16, [5120, 6144, 1, 1]> w_out_1177 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 6144, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(843060544))), lut = w_out_lut_1176)[name = string(\"w_out_1177\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_1178 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_out_1177, x=reshape_1175)[name = string(\"conv_1178\")];\n tensor<fp16, [1, 5120, 1, 128]> add_1179 = add(x=add_856, y=conv_1178)[name = string(\"add_1179\")];\n tensor<fp16, [1, 5120, 1, 1]> norm_w_1180 = const()[name = string(\"norm_w_1180\"), val = tensor<fp16, [1, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(866694592)))];\n tensor<fp16, [1, 5120, 1, 128]> abs_1181 = abs(x=add_1179)[name = string(\"abs_1181\")];\n tensor<fp16, [1, 1, 1, 128]> reduce_max_1182 = reduce_max(x=abs_1181, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_1182\")];\n tensor<fp16, [1, 1, 1, 128]> maximum_1183 = maximum(x=reduce_max_1182, y=c_6)[name = string(\"maximum_1183\")];\n tensor<fp16, [1, 1, 1, 128]> real_div_1184 = real_div(x=c_8, y=maximum_1183)[name = string(\"real_div_1184\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_1185 = mul(x=add_1179, y=real_div_1184)[name = string(\"mul_1185\")];\n tensor<fp16, [1, 5120, 1, 128]> pow_1186 = pow(x=mul_1185, y=c_11)[name = string(\"pow_1186\")];\n tensor<fp16, [1, 1, 1, 128]> reduce_sum_1187 = reduce_sum(x=pow_1186, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_sum_1187\")];\n tensor<fp16, [1, 1, 1, 128]> mul_1188 = mul(x=reduce_sum_1187, y=c_14)[name = string(\"mul_1188\")];\n tensor<fp16, [1, 1, 1, 128]> pow_1189 = pow(x=real_div_1184, y=c_11)[name = string(\"pow_1189\")];\n tensor<fp16, [1, 1, 1, 128]> mul_1190 = mul(x=pow_1189, y=c_17)[name = string(\"mul_1190\")];\n tensor<fp16, [1, 1, 1, 128]> add_1191 = add(x=mul_1188, y=mul_1190)[name = string(\"add_1191\")];\n tensor<fp16, [1, 1, 1, 128]> rsqrt_1192 = rsqrt(x=add_1191, epsilon=c_20)[name = string(\"rsqrt_1192\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_1193 = mul(x=mul_1185, y=rsqrt_1192)[name = string(\"mul_1193\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_1194 = mul(x=mul_1193, y=norm_w_1180)[name = string(\"mul_1194\")];\n tensor<fp16, [2176, 1, 1, 1, 64, 1]> w_gate_up_lut_1195 = const()[name = string(\"w_gate_up_lut_1195\"), val = tensor<fp16, [2176, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(1000398400)))];\n tensor<fp16, [34816, 5120, 1, 1]> w_gate_up_1196 = constexpr_lut_to_dense(indices = tensor<uint6, [34816, 5120, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(866704896))), lut = w_gate_up_lut_1195)[name = string(\"w_gate_up_1196\")];\n tensor<fp16, [1, 34816, 1, 128]> conv_1197 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_gate_up_1196, x=mul_1194)[name = string(\"conv_1197\")];\n tensor<fp16, [1, 17408, 1, 128]> slice_by_size_1198 = slice_by_size(x=conv_1197, begin=iv_28, size=iv_31)[name = string(\"slice_by_size_1198\")];\n tensor<fp16, [1, 17408, 1, 128]> slice_by_size_1199 = slice_by_size(x=conv_1197, begin=iv_33, size=iv_31)[name = string(\"slice_by_size_1199\")];\n tensor<fp16, [1, 17408, 1, 128]> mul_1200 = mul(x=slice_by_size_1198, y=c_35)[name = string(\"mul_1200\")];\n tensor<fp16, [1, 17408, 1, 128]> exp_1201 = exp(x=mul_1200)[name = string(\"exp_1201\")];\n tensor<fp16, [1, 17408, 1, 128]> add_1202 = add(x=exp_1201, y=c_8)[name = string(\"add_1202\")];\n tensor<fp16, [1, 17408, 1, 128]> real_div_1203 = real_div(x=slice_by_size_1198, y=add_1202)[name = string(\"real_div_1203\")];\n tensor<fp16, [1, 17408, 1, 128]> mul_1204 = mul(x=real_div_1203, y=slice_by_size_1199)[name = string(\"mul_1204\")];\n tensor<fp16, [1, 17408, 1, 128]> abs_1205 = abs(x=mul_1204)[name = string(\"abs_1205\")];\n tensor<fp16, [1, 1, 1, 128]> reduce_max_1206 = reduce_max(x=abs_1205, axes=iv_3, keep_dims=b_4)[name = string(\"reduce_max_1206\")];\n tensor<fp16, [1, 1, 1, 128]> maximum_1207 = maximum(x=reduce_max_1206, y=c_44)[name = string(\"maximum_1207\")];\n tensor<fp16, [1, 1, 1, 128]> real_div_1208 = real_div(x=c_43, y=maximum_1207)[name = string(\"real_div_1208\")];\n tensor<fp16, [1, 17408, 1, 128]> mul_1209 = mul(x=mul_1204, y=real_div_1208)[name = string(\"mul_1209\")];\n tensor<fp16, [1, 4352, 1, 128]> slice_by_size_1210 = slice_by_size(x=mul_1209, begin=iv_28, size=iv_48)[name = string(\"slice_by_size_1210\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_down0_lut_1211 = const()[name = string(\"w_down0_lut_1211\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(1017388736)))];\n tensor<fp16, [5120, 4352, 1, 1]> w_down0_1212 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 4352, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(1000676992))), lut = w_down0_lut_1211)[name = string(\"w_down0_1212\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_1213 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down0_1212, x=slice_by_size_1210)[name = string(\"conv_1213\")];\n tensor<fp16, [1, 4352, 1, 128]> slice_by_size_1214 = slice_by_size(x=mul_1209, begin=iv_53, size=iv_48)[name = string(\"slice_by_size_1214\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_down1_lut_1215 = const()[name = string(\"w_down1_lut_1215\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(1034141504)))];\n tensor<fp16, [5120, 4352, 1, 1]> w_down1_1216 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 4352, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(1017429760))), lut = w_down1_lut_1215)[name = string(\"w_down1_1216\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_1217 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down1_1216, x=slice_by_size_1214)[name = string(\"conv_1217\")];\n tensor<fp16, [1, 4352, 1, 128]> slice_by_size_1218 = slice_by_size(x=mul_1209, begin=iv_58, size=iv_48)[name = string(\"slice_by_size_1218\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_down2_lut_1219 = const()[name = string(\"w_down2_lut_1219\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(1050894272)))];\n tensor<fp16, [5120, 4352, 1, 1]> w_down2_1220 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 4352, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(1034182528))), lut = w_down2_lut_1219)[name = string(\"w_down2_1220\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_1221 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down2_1220, x=slice_by_size_1218)[name = string(\"conv_1221\")];\n tensor<fp16, [1, 4352, 1, 128]> slice_by_size_1222 = slice_by_size(x=mul_1209, begin=iv_63, size=iv_48)[name = string(\"slice_by_size_1222\")];\n tensor<fp16, [320, 1, 1, 1, 64, 1]> w_down3_lut_1223 = const()[name = string(\"w_down3_lut_1223\"), val = tensor<fp16, [320, 1, 1, 1, 64, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(1067647040)))];\n tensor<fp16, [5120, 4352, 1, 1]> w_down3_1224 = constexpr_lut_to_dense(indices = tensor<uint6, [5120, 4352, 1, 1]>(BLOBFILE(path = string(\"@model_path/weights/weight.bin\"), offset = uint64(1050935296))), lut = w_down3_lut_1223)[name = string(\"w_down3_1224\")];\n tensor<fp16, [1, 5120, 1, 128]> conv_1225 = conv(dilations=iv_26, groups=i_27, pad=iv_28, pad_type=str_29, strides=iv_26, weight=w_down3_1224, x=slice_by_size_1222)[name = string(\"conv_1225\")];\n tensor<fp16, [1, 5120, 1, 128]> add_1226 = add(x=conv_1213, y=conv_1217)[name = string(\"add_1226\")];\n tensor<fp16, [1, 5120, 1, 128]> add_1227 = add(x=add_1226, y=conv_1221)[name = string(\"add_1227\")];\n tensor<fp16, [1, 5120, 1, 128]> add_1228 = add(x=add_1227, y=conv_1225)[name = string(\"add_1228\")];\n tensor<fp16, [1, 1, 1, 128]> real_div_1229 = real_div(x=c_8, y=real_div_1208)[name = string(\"real_div_1229\")];\n tensor<fp16, [1, 5120, 1, 128]> mul_1230 = mul(x=add_1228, y=real_div_1229)[name = string(\"mul_1230\")];\n tensor<fp16, [1, 5120, 1, 128]> add_1231 = add(x=add_1179, y=mul_1230)[name = string(\"add_1231\")];\n tensor<fp16, [1, 5120, 1, 128]> hid_out = identity(x=add_1231)[name = string(\"hid_out\")];\n tensor<fp16, [1, 10240, 1, 3]> conv_out0 = identity(x=slice_by_size_104)[name = string(\"conv_out0\")];\n tensor<fp16, [1, 48, 128, 128]> rec_out0 = identity(x=add_400)[name = string(\"rec_out0\")];\n tensor<fp16, [1, 10240, 1, 3]> conv_out1 = identity(x=slice_by_size_508)[name = string(\"conv_out1\")];\n tensor<fp16, [1, 48, 128, 128]> rec_out1 = identity(x=add_775)[name = string(\"rec_out1\")];\n tensor<fp16, [1, 10240, 1, 3]> conv_out2 = identity(x=slice_by_size_883)[name = string(\"conv_out2\")];\n tensor<fp16, [1, 48, 128, 128]> rec_out2 = identity(x=add_1150)[name = string(\"rec_out2\")];\n } -> (hid_out, conv_out0, rec_out0, conv_out1, rec_out1, conv_out2, rec_out2);\n}\n","weight_file":"programs/40/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"}]} | |