diff --git "a/CoreMLModels/ImageEncoder_mobileCLIP_s2.mlmodelc/model.mil" "b/CoreMLModels/ImageEncoder_mobileCLIP_s2.mlmodelc/model.mil" new file mode 100644--- /dev/null +++ "b/CoreMLModels/ImageEncoder_mobileCLIP_s2.mlmodelc/model.mil" @@ -0,0 +1,1718 @@ +program(1.0) +[buildInfo = dict, tensor>({{"coremlc-component-MIL", "5.33.5"}, {"coremlc-version", "1877.40.3"}, {"coremltools-component-torch", "1.13.1"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "7.1"}})] +{ + func main(tensor colorImage) { + tensor colorImage__scaled___y_0 = const()[name = tensor("colorImage__scaled___y_0"), val = tensor(0x1.010102p-8)]; + tensor colorImage__scaled__ = mul(x = colorImage, y = colorImage__scaled___y_0)[name = tensor("colorImage__scaled__")]; + tensor var_4 = const()[name = tensor("op_4"), val = tensor(80)]; + tensor var_5 = const()[name = tensor("op_5"), val = tensor(true)]; + tensor var_7 = const()[name = tensor("op_7"), val = tensor(false)]; + tensor var_8 = const()[name = tensor("op_8"), val = tensor(1)]; + tensor var_16 = const()[name = tensor("op_16"), val = tensor(160)]; + tensor var_17 = const()[name = tensor("op_17"), val = tensor(320)]; + tensor var_18 = const()[name = tensor("op_18"), val = tensor(640)]; + tensor var_23 = const()[name = tensor("op_23"), val = tensor(-1)]; + tensor var_50 = const()[name = tensor("op_50"), val = tensor([2, 2])]; + tensor var_52 = const()[name = tensor("op_52"), val = tensor([1, 1])]; + tensor input_1_pad_type_0 = const()[name = tensor("input_1_pad_type_0"), val = tensor("custom")]; + tensor input_1_pad_0 = const()[name = tensor("input_1_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor colorImage_to_fp16_dtype_0 = const()[name = tensor("colorImage_to_fp16_dtype_0"), val = tensor("fp16")]; + tensor original_model_image_encoder_model_patch_embed_0_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_patch_embed_0_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(64)))]; + tensor original_model_image_encoder_model_patch_embed_0_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_patch_embed_0_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4480)))]; + tensor cast_18 = cast(dtype = colorImage_to_fp16_dtype_0, x = colorImage__scaled__)[name = tensor("cast_18")]; + tensor input_1_cast_fp16 = conv(bias = original_model_image_encoder_model_patch_embed_0_reparam_conv_bias_to_fp16, dilations = var_52, groups = var_8, pad = input_1_pad_0, pad_type = input_1_pad_type_0, strides = var_50, weight = original_model_image_encoder_model_patch_embed_0_reparam_conv_weight_to_fp16, x = cast_18)[name = tensor("input_1_cast_fp16")]; + tensor input_3_mode_0 = const()[name = tensor("input_3_mode_0"), val = tensor("EXACT")]; + tensor input_3_cast_fp16 = gelu(mode = input_3_mode_0, x = input_1_cast_fp16)[name = tensor("input_3_cast_fp16")]; + tensor var_59 = const()[name = tensor("op_59"), val = tensor([2, 2])]; + tensor var_61 = const()[name = tensor("op_61"), val = tensor([1, 1])]; + tensor input_5_pad_type_0 = const()[name = tensor("input_5_pad_type_0"), val = tensor("custom")]; + tensor input_5_pad_0 = const()[name = tensor("input_5_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_patch_embed_1_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_patch_embed_1_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4736)))]; + tensor original_model_image_encoder_model_patch_embed_1_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_patch_embed_1_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6272)))]; + tensor input_5_cast_fp16 = conv(bias = original_model_image_encoder_model_patch_embed_1_reparam_conv_bias_to_fp16, dilations = var_61, groups = var_4, pad = input_5_pad_0, pad_type = input_5_pad_type_0, strides = var_59, weight = original_model_image_encoder_model_patch_embed_1_reparam_conv_weight_to_fp16, x = input_3_cast_fp16)[name = tensor("input_5_cast_fp16")]; + tensor input_7_mode_0 = const()[name = tensor("input_7_mode_0"), val = tensor("EXACT")]; + tensor input_7_cast_fp16 = gelu(mode = input_7_mode_0, x = input_5_cast_fp16)[name = tensor("input_7_cast_fp16")]; + tensor var_68 = const()[name = tensor("op_68"), val = tensor([1, 1])]; + tensor var_70 = const()[name = tensor("op_70"), val = tensor([1, 1])]; + tensor input_9_pad_type_0 = const()[name = tensor("input_9_pad_type_0"), val = tensor("custom")]; + tensor input_9_pad_0 = const()[name = tensor("input_9_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_patch_embed_2_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_patch_embed_2_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6528)))]; + tensor original_model_image_encoder_model_patch_embed_2_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_patch_embed_2_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(19392)))]; + tensor input_9_cast_fp16 = conv(bias = original_model_image_encoder_model_patch_embed_2_reparam_conv_bias_to_fp16, dilations = var_70, groups = var_8, pad = input_9_pad_0, pad_type = input_9_pad_type_0, strides = var_68, weight = original_model_image_encoder_model_patch_embed_2_reparam_conv_weight_to_fp16, x = input_7_cast_fp16)[name = tensor("input_9_cast_fp16")]; + tensor input_11_mode_0 = const()[name = tensor("input_11_mode_0"), val = tensor("EXACT")]; + tensor input_11_cast_fp16 = gelu(mode = input_11_mode_0, x = input_9_cast_fp16)[name = tensor("input_11_cast_fp16")]; + tensor var_84 = const()[name = tensor("op_84"), val = tensor([1, 1])]; + tensor var_86 = const()[name = tensor("op_86"), val = tensor([1, 1])]; + tensor input_13_pad_type_0 = const()[name = tensor("input_13_pad_type_0"), val = tensor("custom")]; + tensor input_13_pad_0 = const()[name = tensor("input_13_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_0_0_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_0_0_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(19648)))]; + tensor original_model_image_encoder_model_network_0_0_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_0_0_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21184)))]; + tensor input_13_cast_fp16 = conv(bias = original_model_image_encoder_model_network_0_0_token_mixer_reparam_conv_bias_to_fp16, dilations = var_86, groups = var_4, pad = input_13_pad_0, pad_type = input_13_pad_type_0, strides = var_84, weight = original_model_image_encoder_model_network_0_0_token_mixer_reparam_conv_weight_to_fp16, x = input_11_cast_fp16)[name = tensor("input_13_cast_fp16")]; + tensor var_95 = const()[name = tensor("op_95"), val = tensor([1, 1])]; + tensor var_97 = const()[name = tensor("op_97"), val = tensor([1, 1])]; + tensor input_15_pad_type_0 = const()[name = tensor("input_15_pad_type_0"), val = tensor("custom")]; + tensor input_15_pad_0 = const()[name = tensor("input_15_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_17_weight_0_to_fp16 = const()[name = tensor("input_17_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21440)))]; + tensor input_17_bias_0_to_fp16 = const()[name = tensor("input_17_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(29376)))]; + tensor input_17_cast_fp16 = conv(bias = input_17_bias_0_to_fp16, dilations = var_97, groups = var_4, pad = input_15_pad_0, pad_type = input_15_pad_type_0, strides = var_95, weight = input_17_weight_0_to_fp16, x = input_13_cast_fp16)[name = tensor("input_17_cast_fp16")]; + tensor var_107 = const()[name = tensor("op_107"), val = tensor([1, 1])]; + tensor var_109 = const()[name = tensor("op_109"), val = tensor([1, 1])]; + tensor input_19_pad_type_0 = const()[name = tensor("input_19_pad_type_0"), val = tensor("custom")]; + tensor input_19_pad_0 = const()[name = tensor("input_19_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_0_0_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_0_0_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(29632)))]; + tensor original_model_image_encoder_model_network_0_0_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_0_0_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(68096)))]; + tensor input_19_cast_fp16 = conv(bias = original_model_image_encoder_model_network_0_0_convffn_fc1_bias_to_fp16, dilations = var_109, groups = var_8, pad = input_19_pad_0, pad_type = input_19_pad_type_0, strides = var_107, weight = original_model_image_encoder_model_network_0_0_convffn_fc1_weight_to_fp16, x = input_17_cast_fp16)[name = tensor("input_19_cast_fp16")]; + tensor input_21_mode_0 = const()[name = tensor("input_21_mode_0"), val = tensor("EXACT")]; + tensor input_21_cast_fp16 = gelu(mode = input_21_mode_0, x = input_19_cast_fp16)[name = tensor("input_21_cast_fp16")]; + tensor var_116 = const()[name = tensor("op_116"), val = tensor([1, 1])]; + tensor var_118 = const()[name = tensor("op_118"), val = tensor([1, 1])]; + tensor input_25_pad_type_0 = const()[name = tensor("input_25_pad_type_0"), val = tensor("custom")]; + tensor input_25_pad_0 = const()[name = tensor("input_25_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_122_weight_0_to_fp16 = const()[name = tensor("op_122_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(68672)))]; + tensor var_122_bias_0_to_fp16 = const()[name = tensor("op_122_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(107136)))]; + tensor var_122_cast_fp16 = conv(bias = var_122_bias_0_to_fp16, dilations = var_118, groups = var_8, pad = input_25_pad_0, pad_type = input_25_pad_type_0, strides = var_116, weight = var_122_weight_0_to_fp16, x = input_21_cast_fp16)[name = tensor("op_122_cast_fp16")]; + tensor input_27_cast_fp16 = add(x = input_13_cast_fp16, y = var_122_cast_fp16)[name = tensor("input_27_cast_fp16")]; + tensor var_130 = const()[name = tensor("op_130"), val = tensor([1, 1])]; + tensor var_132 = const()[name = tensor("op_132"), val = tensor([1, 1])]; + tensor input_29_pad_type_0 = const()[name = tensor("input_29_pad_type_0"), val = tensor("custom")]; + tensor input_29_pad_0 = const()[name = tensor("input_29_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_0_1_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_0_1_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(107392)))]; + tensor original_model_image_encoder_model_network_0_1_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_0_1_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(108928)))]; + tensor input_29_cast_fp16 = conv(bias = original_model_image_encoder_model_network_0_1_token_mixer_reparam_conv_bias_to_fp16, dilations = var_132, groups = var_4, pad = input_29_pad_0, pad_type = input_29_pad_type_0, strides = var_130, weight = original_model_image_encoder_model_network_0_1_token_mixer_reparam_conv_weight_to_fp16, x = input_27_cast_fp16)[name = tensor("input_29_cast_fp16")]; + tensor var_141 = const()[name = tensor("op_141"), val = tensor([1, 1])]; + tensor var_143 = const()[name = tensor("op_143"), val = tensor([1, 1])]; + tensor input_31_pad_type_0 = const()[name = tensor("input_31_pad_type_0"), val = tensor("custom")]; + tensor input_31_pad_0 = const()[name = tensor("input_31_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_33_weight_0_to_fp16 = const()[name = tensor("input_33_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(109184)))]; + tensor input_33_bias_0_to_fp16 = const()[name = tensor("input_33_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(117120)))]; + tensor input_33_cast_fp16 = conv(bias = input_33_bias_0_to_fp16, dilations = var_143, groups = var_4, pad = input_31_pad_0, pad_type = input_31_pad_type_0, strides = var_141, weight = input_33_weight_0_to_fp16, x = input_29_cast_fp16)[name = tensor("input_33_cast_fp16")]; + tensor var_153 = const()[name = tensor("op_153"), val = tensor([1, 1])]; + tensor var_155 = const()[name = tensor("op_155"), val = tensor([1, 1])]; + tensor input_35_pad_type_0 = const()[name = tensor("input_35_pad_type_0"), val = tensor("custom")]; + tensor input_35_pad_0 = const()[name = tensor("input_35_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_0_1_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_0_1_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(117376)))]; + tensor original_model_image_encoder_model_network_0_1_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_0_1_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(155840)))]; + tensor input_35_cast_fp16 = conv(bias = original_model_image_encoder_model_network_0_1_convffn_fc1_bias_to_fp16, dilations = var_155, groups = var_8, pad = input_35_pad_0, pad_type = input_35_pad_type_0, strides = var_153, weight = original_model_image_encoder_model_network_0_1_convffn_fc1_weight_to_fp16, x = input_33_cast_fp16)[name = tensor("input_35_cast_fp16")]; + tensor input_37_mode_0 = const()[name = tensor("input_37_mode_0"), val = tensor("EXACT")]; + tensor input_37_cast_fp16 = gelu(mode = input_37_mode_0, x = input_35_cast_fp16)[name = tensor("input_37_cast_fp16")]; + tensor var_162 = const()[name = tensor("op_162"), val = tensor([1, 1])]; + tensor var_164 = const()[name = tensor("op_164"), val = tensor([1, 1])]; + tensor input_41_pad_type_0 = const()[name = tensor("input_41_pad_type_0"), val = tensor("custom")]; + tensor input_41_pad_0 = const()[name = tensor("input_41_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_168_weight_0_to_fp16 = const()[name = tensor("op_168_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(156416)))]; + tensor var_168_bias_0_to_fp16 = const()[name = tensor("op_168_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(194880)))]; + tensor var_168_cast_fp16 = conv(bias = var_168_bias_0_to_fp16, dilations = var_164, groups = var_8, pad = input_41_pad_0, pad_type = input_41_pad_type_0, strides = var_162, weight = var_168_weight_0_to_fp16, x = input_37_cast_fp16)[name = tensor("op_168_cast_fp16")]; + tensor input_43_cast_fp16 = add(x = input_29_cast_fp16, y = var_168_cast_fp16)[name = tensor("input_43_cast_fp16")]; + tensor var_176 = const()[name = tensor("op_176"), val = tensor([1, 1])]; + tensor var_178 = const()[name = tensor("op_178"), val = tensor([1, 1])]; + tensor input_45_pad_type_0 = const()[name = tensor("input_45_pad_type_0"), val = tensor("custom")]; + tensor input_45_pad_0 = const()[name = tensor("input_45_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_0_2_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_0_2_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(195136)))]; + tensor original_model_image_encoder_model_network_0_2_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_0_2_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(196672)))]; + tensor input_45_cast_fp16 = conv(bias = original_model_image_encoder_model_network_0_2_token_mixer_reparam_conv_bias_to_fp16, dilations = var_178, groups = var_4, pad = input_45_pad_0, pad_type = input_45_pad_type_0, strides = var_176, weight = original_model_image_encoder_model_network_0_2_token_mixer_reparam_conv_weight_to_fp16, x = input_43_cast_fp16)[name = tensor("input_45_cast_fp16")]; + tensor var_187 = const()[name = tensor("op_187"), val = tensor([1, 1])]; + tensor var_189 = const()[name = tensor("op_189"), val = tensor([1, 1])]; + tensor input_47_pad_type_0 = const()[name = tensor("input_47_pad_type_0"), val = tensor("custom")]; + tensor input_47_pad_0 = const()[name = tensor("input_47_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_49_weight_0_to_fp16 = const()[name = tensor("input_49_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(196928)))]; + tensor input_49_bias_0_to_fp16 = const()[name = tensor("input_49_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(204864)))]; + tensor input_49_cast_fp16 = conv(bias = input_49_bias_0_to_fp16, dilations = var_189, groups = var_4, pad = input_47_pad_0, pad_type = input_47_pad_type_0, strides = var_187, weight = input_49_weight_0_to_fp16, x = input_45_cast_fp16)[name = tensor("input_49_cast_fp16")]; + tensor var_199 = const()[name = tensor("op_199"), val = tensor([1, 1])]; + tensor var_201 = const()[name = tensor("op_201"), val = tensor([1, 1])]; + tensor input_51_pad_type_0 = const()[name = tensor("input_51_pad_type_0"), val = tensor("custom")]; + tensor input_51_pad_0 = const()[name = tensor("input_51_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_0_2_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_0_2_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(205120)))]; + tensor original_model_image_encoder_model_network_0_2_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_0_2_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(243584)))]; + tensor input_51_cast_fp16 = conv(bias = original_model_image_encoder_model_network_0_2_convffn_fc1_bias_to_fp16, dilations = var_201, groups = var_8, pad = input_51_pad_0, pad_type = input_51_pad_type_0, strides = var_199, weight = original_model_image_encoder_model_network_0_2_convffn_fc1_weight_to_fp16, x = input_49_cast_fp16)[name = tensor("input_51_cast_fp16")]; + tensor input_53_mode_0 = const()[name = tensor("input_53_mode_0"), val = tensor("EXACT")]; + tensor input_53_cast_fp16 = gelu(mode = input_53_mode_0, x = input_51_cast_fp16)[name = tensor("input_53_cast_fp16")]; + tensor var_208 = const()[name = tensor("op_208"), val = tensor([1, 1])]; + tensor var_210 = const()[name = tensor("op_210"), val = tensor([1, 1])]; + tensor input_57_pad_type_0 = const()[name = tensor("input_57_pad_type_0"), val = tensor("custom")]; + tensor input_57_pad_0 = const()[name = tensor("input_57_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_214_weight_0_to_fp16 = const()[name = tensor("op_214_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(244160)))]; + tensor var_214_bias_0_to_fp16 = const()[name = tensor("op_214_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(282624)))]; + tensor var_214_cast_fp16 = conv(bias = var_214_bias_0_to_fp16, dilations = var_210, groups = var_8, pad = input_57_pad_0, pad_type = input_57_pad_type_0, strides = var_208, weight = var_214_weight_0_to_fp16, x = input_53_cast_fp16)[name = tensor("op_214_cast_fp16")]; + tensor input_59_cast_fp16 = add(x = input_45_cast_fp16, y = var_214_cast_fp16)[name = tensor("input_59_cast_fp16")]; + tensor var_222 = const()[name = tensor("op_222"), val = tensor([1, 1])]; + tensor var_224 = const()[name = tensor("op_224"), val = tensor([1, 1])]; + tensor input_61_pad_type_0 = const()[name = tensor("input_61_pad_type_0"), val = tensor("custom")]; + tensor input_61_pad_0 = const()[name = tensor("input_61_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_0_3_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_0_3_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(282880)))]; + tensor original_model_image_encoder_model_network_0_3_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_0_3_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(284416)))]; + tensor input_61_cast_fp16 = conv(bias = original_model_image_encoder_model_network_0_3_token_mixer_reparam_conv_bias_to_fp16, dilations = var_224, groups = var_4, pad = input_61_pad_0, pad_type = input_61_pad_type_0, strides = var_222, weight = original_model_image_encoder_model_network_0_3_token_mixer_reparam_conv_weight_to_fp16, x = input_59_cast_fp16)[name = tensor("input_61_cast_fp16")]; + tensor var_233 = const()[name = tensor("op_233"), val = tensor([1, 1])]; + tensor var_235 = const()[name = tensor("op_235"), val = tensor([1, 1])]; + tensor input_63_pad_type_0 = const()[name = tensor("input_63_pad_type_0"), val = tensor("custom")]; + tensor input_63_pad_0 = const()[name = tensor("input_63_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_65_weight_0_to_fp16 = const()[name = tensor("input_65_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(284672)))]; + tensor input_65_bias_0_to_fp16 = const()[name = tensor("input_65_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(292608)))]; + tensor input_65_cast_fp16 = conv(bias = input_65_bias_0_to_fp16, dilations = var_235, groups = var_4, pad = input_63_pad_0, pad_type = input_63_pad_type_0, strides = var_233, weight = input_65_weight_0_to_fp16, x = input_61_cast_fp16)[name = tensor("input_65_cast_fp16")]; + tensor var_245 = const()[name = tensor("op_245"), val = tensor([1, 1])]; + tensor var_247 = const()[name = tensor("op_247"), val = tensor([1, 1])]; + tensor input_67_pad_type_0 = const()[name = tensor("input_67_pad_type_0"), val = tensor("custom")]; + tensor input_67_pad_0 = const()[name = tensor("input_67_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_0_3_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_0_3_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(292864)))]; + tensor original_model_image_encoder_model_network_0_3_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_0_3_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(331328)))]; + tensor input_67_cast_fp16 = conv(bias = original_model_image_encoder_model_network_0_3_convffn_fc1_bias_to_fp16, dilations = var_247, groups = var_8, pad = input_67_pad_0, pad_type = input_67_pad_type_0, strides = var_245, weight = original_model_image_encoder_model_network_0_3_convffn_fc1_weight_to_fp16, x = input_65_cast_fp16)[name = tensor("input_67_cast_fp16")]; + tensor input_69_mode_0 = const()[name = tensor("input_69_mode_0"), val = tensor("EXACT")]; + tensor input_69_cast_fp16 = gelu(mode = input_69_mode_0, x = input_67_cast_fp16)[name = tensor("input_69_cast_fp16")]; + tensor var_254 = const()[name = tensor("op_254"), val = tensor([1, 1])]; + tensor var_256 = const()[name = tensor("op_256"), val = tensor([1, 1])]; + tensor input_73_pad_type_0 = const()[name = tensor("input_73_pad_type_0"), val = tensor("custom")]; + tensor input_73_pad_0 = const()[name = tensor("input_73_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_260_weight_0_to_fp16 = const()[name = tensor("op_260_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(331904)))]; + tensor var_260_bias_0_to_fp16 = const()[name = tensor("op_260_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(370368)))]; + tensor var_260_cast_fp16 = conv(bias = var_260_bias_0_to_fp16, dilations = var_256, groups = var_8, pad = input_73_pad_0, pad_type = input_73_pad_type_0, strides = var_254, weight = var_260_weight_0_to_fp16, x = input_69_cast_fp16)[name = tensor("op_260_cast_fp16")]; + tensor input_75_cast_fp16 = add(x = input_61_cast_fp16, y = var_260_cast_fp16)[name = tensor("input_75_cast_fp16")]; + tensor var_268 = const()[name = tensor("op_268"), val = tensor([2, 2])]; + tensor var_270 = const()[name = tensor("op_270"), val = tensor([1, 1])]; + tensor input_77_pad_type_0 = const()[name = tensor("input_77_pad_type_0"), val = tensor("custom")]; + tensor input_77_pad_0 = const()[name = tensor("input_77_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor original_model_image_encoder_model_network_1_proj_0_lkb_reparam_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_1_proj_0_lkb_reparam_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(370624)))]; + tensor original_model_image_encoder_model_network_1_proj_0_lkb_reparam_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_1_proj_0_lkb_reparam_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(386368)))]; + tensor input_77_cast_fp16 = conv(bias = original_model_image_encoder_model_network_1_proj_0_lkb_reparam_bias_to_fp16, dilations = var_270, groups = var_4, pad = input_77_pad_0, pad_type = input_77_pad_type_0, strides = var_268, weight = original_model_image_encoder_model_network_1_proj_0_lkb_reparam_weight_to_fp16, x = input_75_cast_fp16)[name = tensor("input_77_cast_fp16")]; + tensor input_79_mode_0 = const()[name = tensor("input_79_mode_0"), val = tensor("EXACT")]; + tensor input_79_cast_fp16 = gelu(mode = input_79_mode_0, x = input_77_cast_fp16)[name = tensor("input_79_cast_fp16")]; + tensor var_277 = const()[name = tensor("op_277"), val = tensor([1, 1])]; + tensor var_279 = const()[name = tensor("op_279"), val = tensor([1, 1])]; + tensor input_81_pad_type_0 = const()[name = tensor("input_81_pad_type_0"), val = tensor("custom")]; + tensor input_81_pad_0 = const()[name = tensor("input_81_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_1_proj_1_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_1_proj_1_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(386752)))]; + tensor original_model_image_encoder_model_network_1_proj_1_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_1_proj_1_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(438016)))]; + tensor input_81_cast_fp16 = conv(bias = original_model_image_encoder_model_network_1_proj_1_reparam_conv_bias_to_fp16, dilations = var_279, groups = var_8, pad = input_81_pad_0, pad_type = input_81_pad_type_0, strides = var_277, weight = original_model_image_encoder_model_network_1_proj_1_reparam_conv_weight_to_fp16, x = input_79_cast_fp16)[name = tensor("input_81_cast_fp16")]; + tensor input_83_mode_0 = const()[name = tensor("input_83_mode_0"), val = tensor("EXACT")]; + tensor input_83_cast_fp16 = gelu(mode = input_83_mode_0, x = input_81_cast_fp16)[name = tensor("input_83_cast_fp16")]; + tensor var_301 = const()[name = tensor("op_301"), val = tensor([1, 1])]; + tensor var_303 = const()[name = tensor("op_303"), val = tensor([1, 1])]; + tensor input_85_pad_type_0 = const()[name = tensor("input_85_pad_type_0"), val = tensor("custom")]; + tensor input_85_pad_0 = const()[name = tensor("input_85_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_2_0_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_0_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(438400)))]; + tensor original_model_image_encoder_model_network_2_0_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_0_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(441344)))]; + tensor input_85_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_0_token_mixer_reparam_conv_bias_to_fp16, dilations = var_303, groups = var_16, pad = input_85_pad_0, pad_type = input_85_pad_type_0, strides = var_301, weight = original_model_image_encoder_model_network_2_0_token_mixer_reparam_conv_weight_to_fp16, x = input_83_cast_fp16)[name = tensor("input_85_cast_fp16")]; + tensor var_312 = const()[name = tensor("op_312"), val = tensor([1, 1])]; + tensor var_314 = const()[name = tensor("op_314"), val = tensor([1, 1])]; + tensor input_87_pad_type_0 = const()[name = tensor("input_87_pad_type_0"), val = tensor("custom")]; + tensor input_87_pad_0 = const()[name = tensor("input_87_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_89_weight_0_to_fp16 = const()[name = tensor("input_89_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(441728)))]; + tensor input_89_bias_0_to_fp16 = const()[name = tensor("input_89_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(457472)))]; + tensor input_89_cast_fp16 = conv(bias = input_89_bias_0_to_fp16, dilations = var_314, groups = var_16, pad = input_87_pad_0, pad_type = input_87_pad_type_0, strides = var_312, weight = input_89_weight_0_to_fp16, x = input_85_cast_fp16)[name = tensor("input_89_cast_fp16")]; + tensor var_324 = const()[name = tensor("op_324"), val = tensor([1, 1])]; + tensor var_326 = const()[name = tensor("op_326"), val = tensor([1, 1])]; + tensor input_91_pad_type_0 = const()[name = tensor("input_91_pad_type_0"), val = tensor("custom")]; + tensor input_91_pad_0 = const()[name = tensor("input_91_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_2_0_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_0_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(457856)))]; + tensor original_model_image_encoder_model_network_2_0_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_0_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(611520)))]; + tensor input_91_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_0_convffn_fc1_bias_to_fp16, dilations = var_326, groups = var_8, pad = input_91_pad_0, pad_type = input_91_pad_type_0, strides = var_324, weight = original_model_image_encoder_model_network_2_0_convffn_fc1_weight_to_fp16, x = input_89_cast_fp16)[name = tensor("input_91_cast_fp16")]; + tensor input_93_mode_0 = const()[name = tensor("input_93_mode_0"), val = tensor("EXACT")]; + tensor input_93_cast_fp16 = gelu(mode = input_93_mode_0, x = input_91_cast_fp16)[name = tensor("input_93_cast_fp16")]; + tensor var_333 = const()[name = tensor("op_333"), val = tensor([1, 1])]; + tensor var_335 = const()[name = tensor("op_335"), val = tensor([1, 1])]; + tensor input_97_pad_type_0 = const()[name = tensor("input_97_pad_type_0"), val = tensor("custom")]; + tensor input_97_pad_0 = const()[name = tensor("input_97_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_339_weight_0_to_fp16 = const()[name = tensor("op_339_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(612544)))]; + tensor var_339_bias_0_to_fp16 = const()[name = tensor("op_339_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(766208)))]; + tensor var_339_cast_fp16 = conv(bias = var_339_bias_0_to_fp16, dilations = var_335, groups = var_8, pad = input_97_pad_0, pad_type = input_97_pad_type_0, strides = var_333, weight = var_339_weight_0_to_fp16, x = input_93_cast_fp16)[name = tensor("op_339_cast_fp16")]; + tensor input_99_cast_fp16 = add(x = input_85_cast_fp16, y = var_339_cast_fp16)[name = tensor("input_99_cast_fp16")]; + tensor var_347 = const()[name = tensor("op_347"), val = tensor([1, 1])]; + tensor var_349 = const()[name = tensor("op_349"), val = tensor([1, 1])]; + tensor input_101_pad_type_0 = const()[name = tensor("input_101_pad_type_0"), val = tensor("custom")]; + tensor input_101_pad_0 = const()[name = tensor("input_101_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_2_1_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_1_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(766592)))]; + tensor original_model_image_encoder_model_network_2_1_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_1_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(769536)))]; + tensor input_101_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_1_token_mixer_reparam_conv_bias_to_fp16, dilations = var_349, groups = var_16, pad = input_101_pad_0, pad_type = input_101_pad_type_0, strides = var_347, weight = original_model_image_encoder_model_network_2_1_token_mixer_reparam_conv_weight_to_fp16, x = input_99_cast_fp16)[name = tensor("input_101_cast_fp16")]; + tensor var_358 = const()[name = tensor("op_358"), val = tensor([1, 1])]; + tensor var_360 = const()[name = tensor("op_360"), val = tensor([1, 1])]; + tensor input_103_pad_type_0 = const()[name = tensor("input_103_pad_type_0"), val = tensor("custom")]; + tensor input_103_pad_0 = const()[name = tensor("input_103_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_105_weight_0_to_fp16 = const()[name = tensor("input_105_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(769920)))]; + tensor input_105_bias_0_to_fp16 = const()[name = tensor("input_105_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(785664)))]; + tensor input_105_cast_fp16 = conv(bias = input_105_bias_0_to_fp16, dilations = var_360, groups = var_16, pad = input_103_pad_0, pad_type = input_103_pad_type_0, strides = var_358, weight = input_105_weight_0_to_fp16, x = input_101_cast_fp16)[name = tensor("input_105_cast_fp16")]; + tensor var_370 = const()[name = tensor("op_370"), val = tensor([1, 1])]; + tensor var_372 = const()[name = tensor("op_372"), val = tensor([1, 1])]; + tensor input_107_pad_type_0 = const()[name = tensor("input_107_pad_type_0"), val = tensor("custom")]; + tensor input_107_pad_0 = const()[name = tensor("input_107_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_2_1_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_1_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(786048)))]; + tensor original_model_image_encoder_model_network_2_1_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_1_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(939712)))]; + tensor input_107_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_1_convffn_fc1_bias_to_fp16, dilations = var_372, groups = var_8, pad = input_107_pad_0, pad_type = input_107_pad_type_0, strides = var_370, weight = original_model_image_encoder_model_network_2_1_convffn_fc1_weight_to_fp16, x = input_105_cast_fp16)[name = tensor("input_107_cast_fp16")]; + tensor input_109_mode_0 = const()[name = tensor("input_109_mode_0"), val = tensor("EXACT")]; + tensor input_109_cast_fp16 = gelu(mode = input_109_mode_0, x = input_107_cast_fp16)[name = tensor("input_109_cast_fp16")]; + tensor var_379 = const()[name = tensor("op_379"), val = tensor([1, 1])]; + tensor var_381 = const()[name = tensor("op_381"), val = tensor([1, 1])]; + tensor input_113_pad_type_0 = const()[name = tensor("input_113_pad_type_0"), val = tensor("custom")]; + tensor input_113_pad_0 = const()[name = tensor("input_113_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_385_weight_0_to_fp16 = const()[name = tensor("op_385_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(940736)))]; + tensor var_385_bias_0_to_fp16 = const()[name = tensor("op_385_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1094400)))]; + tensor var_385_cast_fp16 = conv(bias = var_385_bias_0_to_fp16, dilations = var_381, groups = var_8, pad = input_113_pad_0, pad_type = input_113_pad_type_0, strides = var_379, weight = var_385_weight_0_to_fp16, x = input_109_cast_fp16)[name = tensor("op_385_cast_fp16")]; + tensor input_115_cast_fp16 = add(x = input_101_cast_fp16, y = var_385_cast_fp16)[name = tensor("input_115_cast_fp16")]; + tensor var_393 = const()[name = tensor("op_393"), val = tensor([1, 1])]; + tensor var_395 = const()[name = tensor("op_395"), val = tensor([1, 1])]; + tensor input_117_pad_type_0 = const()[name = tensor("input_117_pad_type_0"), val = tensor("custom")]; + tensor input_117_pad_0 = const()[name = tensor("input_117_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_2_2_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_2_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1094784)))]; + tensor original_model_image_encoder_model_network_2_2_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_2_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1097728)))]; + tensor input_117_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_2_token_mixer_reparam_conv_bias_to_fp16, dilations = var_395, groups = var_16, pad = input_117_pad_0, pad_type = input_117_pad_type_0, strides = var_393, weight = original_model_image_encoder_model_network_2_2_token_mixer_reparam_conv_weight_to_fp16, x = input_115_cast_fp16)[name = tensor("input_117_cast_fp16")]; + tensor var_404 = const()[name = tensor("op_404"), val = tensor([1, 1])]; + tensor var_406 = const()[name = tensor("op_406"), val = tensor([1, 1])]; + tensor input_119_pad_type_0 = const()[name = tensor("input_119_pad_type_0"), val = tensor("custom")]; + tensor input_119_pad_0 = const()[name = tensor("input_119_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_121_weight_0_to_fp16 = const()[name = tensor("input_121_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1098112)))]; + tensor input_121_bias_0_to_fp16 = const()[name = tensor("input_121_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1113856)))]; + tensor input_121_cast_fp16 = conv(bias = input_121_bias_0_to_fp16, dilations = var_406, groups = var_16, pad = input_119_pad_0, pad_type = input_119_pad_type_0, strides = var_404, weight = input_121_weight_0_to_fp16, x = input_117_cast_fp16)[name = tensor("input_121_cast_fp16")]; + tensor var_416 = const()[name = tensor("op_416"), val = tensor([1, 1])]; + tensor var_418 = const()[name = tensor("op_418"), val = tensor([1, 1])]; + tensor input_123_pad_type_0 = const()[name = tensor("input_123_pad_type_0"), val = tensor("custom")]; + tensor input_123_pad_0 = const()[name = tensor("input_123_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_2_2_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_2_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1114240)))]; + tensor original_model_image_encoder_model_network_2_2_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_2_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1267904)))]; + tensor input_123_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_2_convffn_fc1_bias_to_fp16, dilations = var_418, groups = var_8, pad = input_123_pad_0, pad_type = input_123_pad_type_0, strides = var_416, weight = original_model_image_encoder_model_network_2_2_convffn_fc1_weight_to_fp16, x = input_121_cast_fp16)[name = tensor("input_123_cast_fp16")]; + tensor input_125_mode_0 = const()[name = tensor("input_125_mode_0"), val = tensor("EXACT")]; + tensor input_125_cast_fp16 = gelu(mode = input_125_mode_0, x = input_123_cast_fp16)[name = tensor("input_125_cast_fp16")]; + tensor var_425 = const()[name = tensor("op_425"), val = tensor([1, 1])]; + tensor var_427 = const()[name = tensor("op_427"), val = tensor([1, 1])]; + tensor input_129_pad_type_0 = const()[name = tensor("input_129_pad_type_0"), val = tensor("custom")]; + tensor input_129_pad_0 = const()[name = tensor("input_129_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_431_weight_0_to_fp16 = const()[name = tensor("op_431_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1268928)))]; + tensor var_431_bias_0_to_fp16 = const()[name = tensor("op_431_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1422592)))]; + tensor var_431_cast_fp16 = conv(bias = var_431_bias_0_to_fp16, dilations = var_427, groups = var_8, pad = input_129_pad_0, pad_type = input_129_pad_type_0, strides = var_425, weight = var_431_weight_0_to_fp16, x = input_125_cast_fp16)[name = tensor("op_431_cast_fp16")]; + tensor input_131_cast_fp16 = add(x = input_117_cast_fp16, y = var_431_cast_fp16)[name = tensor("input_131_cast_fp16")]; + tensor var_439 = const()[name = tensor("op_439"), val = tensor([1, 1])]; + tensor var_441 = const()[name = tensor("op_441"), val = tensor([1, 1])]; + tensor input_133_pad_type_0 = const()[name = tensor("input_133_pad_type_0"), val = tensor("custom")]; + tensor input_133_pad_0 = const()[name = tensor("input_133_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_2_3_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_3_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1422976)))]; + tensor original_model_image_encoder_model_network_2_3_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_3_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1425920)))]; + tensor input_133_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_3_token_mixer_reparam_conv_bias_to_fp16, dilations = var_441, groups = var_16, pad = input_133_pad_0, pad_type = input_133_pad_type_0, strides = var_439, weight = original_model_image_encoder_model_network_2_3_token_mixer_reparam_conv_weight_to_fp16, x = input_131_cast_fp16)[name = tensor("input_133_cast_fp16")]; + tensor var_450 = const()[name = tensor("op_450"), val = tensor([1, 1])]; + tensor var_452 = const()[name = tensor("op_452"), val = tensor([1, 1])]; + tensor input_135_pad_type_0 = const()[name = tensor("input_135_pad_type_0"), val = tensor("custom")]; + tensor input_135_pad_0 = const()[name = tensor("input_135_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_137_weight_0_to_fp16 = const()[name = tensor("input_137_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1426304)))]; + tensor input_137_bias_0_to_fp16 = const()[name = tensor("input_137_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1442048)))]; + tensor input_137_cast_fp16 = conv(bias = input_137_bias_0_to_fp16, dilations = var_452, groups = var_16, pad = input_135_pad_0, pad_type = input_135_pad_type_0, strides = var_450, weight = input_137_weight_0_to_fp16, x = input_133_cast_fp16)[name = tensor("input_137_cast_fp16")]; + tensor var_462 = const()[name = tensor("op_462"), val = tensor([1, 1])]; + tensor var_464 = const()[name = tensor("op_464"), val = tensor([1, 1])]; + tensor input_139_pad_type_0 = const()[name = tensor("input_139_pad_type_0"), val = tensor("custom")]; + tensor input_139_pad_0 = const()[name = tensor("input_139_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_2_3_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_3_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1442432)))]; + tensor original_model_image_encoder_model_network_2_3_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_3_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1596096)))]; + tensor input_139_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_3_convffn_fc1_bias_to_fp16, dilations = var_464, groups = var_8, pad = input_139_pad_0, pad_type = input_139_pad_type_0, strides = var_462, weight = original_model_image_encoder_model_network_2_3_convffn_fc1_weight_to_fp16, x = input_137_cast_fp16)[name = tensor("input_139_cast_fp16")]; + tensor input_141_mode_0 = const()[name = tensor("input_141_mode_0"), val = tensor("EXACT")]; + tensor input_141_cast_fp16 = gelu(mode = input_141_mode_0, x = input_139_cast_fp16)[name = tensor("input_141_cast_fp16")]; + tensor var_471 = const()[name = tensor("op_471"), val = tensor([1, 1])]; + tensor var_473 = const()[name = tensor("op_473"), val = tensor([1, 1])]; + tensor input_145_pad_type_0 = const()[name = tensor("input_145_pad_type_0"), val = tensor("custom")]; + tensor input_145_pad_0 = const()[name = tensor("input_145_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_477_weight_0_to_fp16 = const()[name = tensor("op_477_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1597120)))]; + tensor var_477_bias_0_to_fp16 = const()[name = tensor("op_477_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1750784)))]; + tensor var_477_cast_fp16 = conv(bias = var_477_bias_0_to_fp16, dilations = var_473, groups = var_8, pad = input_145_pad_0, pad_type = input_145_pad_type_0, strides = var_471, weight = var_477_weight_0_to_fp16, x = input_141_cast_fp16)[name = tensor("op_477_cast_fp16")]; + tensor input_147_cast_fp16 = add(x = input_133_cast_fp16, y = var_477_cast_fp16)[name = tensor("input_147_cast_fp16")]; + tensor var_485 = const()[name = tensor("op_485"), val = tensor([1, 1])]; + tensor var_487 = const()[name = tensor("op_487"), val = tensor([1, 1])]; + tensor input_149_pad_type_0 = const()[name = tensor("input_149_pad_type_0"), val = tensor("custom")]; + tensor input_149_pad_0 = const()[name = tensor("input_149_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_2_4_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_4_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1751168)))]; + tensor original_model_image_encoder_model_network_2_4_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_4_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1754112)))]; + tensor input_149_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_4_token_mixer_reparam_conv_bias_to_fp16, dilations = var_487, groups = var_16, pad = input_149_pad_0, pad_type = input_149_pad_type_0, strides = var_485, weight = original_model_image_encoder_model_network_2_4_token_mixer_reparam_conv_weight_to_fp16, x = input_147_cast_fp16)[name = tensor("input_149_cast_fp16")]; + tensor var_496 = const()[name = tensor("op_496"), val = tensor([1, 1])]; + tensor var_498 = const()[name = tensor("op_498"), val = tensor([1, 1])]; + tensor input_151_pad_type_0 = const()[name = tensor("input_151_pad_type_0"), val = tensor("custom")]; + tensor input_151_pad_0 = const()[name = tensor("input_151_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_153_weight_0_to_fp16 = const()[name = tensor("input_153_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1754496)))]; + tensor input_153_bias_0_to_fp16 = const()[name = tensor("input_153_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1770240)))]; + tensor input_153_cast_fp16 = conv(bias = input_153_bias_0_to_fp16, dilations = var_498, groups = var_16, pad = input_151_pad_0, pad_type = input_151_pad_type_0, strides = var_496, weight = input_153_weight_0_to_fp16, x = input_149_cast_fp16)[name = tensor("input_153_cast_fp16")]; + tensor var_508 = const()[name = tensor("op_508"), val = tensor([1, 1])]; + tensor var_510 = const()[name = tensor("op_510"), val = tensor([1, 1])]; + tensor input_155_pad_type_0 = const()[name = tensor("input_155_pad_type_0"), val = tensor("custom")]; + tensor input_155_pad_0 = const()[name = tensor("input_155_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_2_4_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_4_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1770624)))]; + tensor original_model_image_encoder_model_network_2_4_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_4_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1924288)))]; + tensor input_155_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_4_convffn_fc1_bias_to_fp16, dilations = var_510, groups = var_8, pad = input_155_pad_0, pad_type = input_155_pad_type_0, strides = var_508, weight = original_model_image_encoder_model_network_2_4_convffn_fc1_weight_to_fp16, x = input_153_cast_fp16)[name = tensor("input_155_cast_fp16")]; + tensor input_157_mode_0 = const()[name = tensor("input_157_mode_0"), val = tensor("EXACT")]; + tensor input_157_cast_fp16 = gelu(mode = input_157_mode_0, x = input_155_cast_fp16)[name = tensor("input_157_cast_fp16")]; + tensor var_517 = const()[name = tensor("op_517"), val = tensor([1, 1])]; + tensor var_519 = const()[name = tensor("op_519"), val = tensor([1, 1])]; + tensor input_161_pad_type_0 = const()[name = tensor("input_161_pad_type_0"), val = tensor("custom")]; + tensor input_161_pad_0 = const()[name = tensor("input_161_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_523_weight_0_to_fp16 = const()[name = tensor("op_523_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1925312)))]; + tensor var_523_bias_0_to_fp16 = const()[name = tensor("op_523_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2078976)))]; + tensor var_523_cast_fp16 = conv(bias = var_523_bias_0_to_fp16, dilations = var_519, groups = var_8, pad = input_161_pad_0, pad_type = input_161_pad_type_0, strides = var_517, weight = var_523_weight_0_to_fp16, x = input_157_cast_fp16)[name = tensor("op_523_cast_fp16")]; + tensor input_163_cast_fp16 = add(x = input_149_cast_fp16, y = var_523_cast_fp16)[name = tensor("input_163_cast_fp16")]; + tensor var_531 = const()[name = tensor("op_531"), val = tensor([1, 1])]; + tensor var_533 = const()[name = tensor("op_533"), val = tensor([1, 1])]; + tensor input_165_pad_type_0 = const()[name = tensor("input_165_pad_type_0"), val = tensor("custom")]; + tensor input_165_pad_0 = const()[name = tensor("input_165_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_2_5_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_5_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2079360)))]; + tensor original_model_image_encoder_model_network_2_5_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_5_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2082304)))]; + tensor input_165_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_5_token_mixer_reparam_conv_bias_to_fp16, dilations = var_533, groups = var_16, pad = input_165_pad_0, pad_type = input_165_pad_type_0, strides = var_531, weight = original_model_image_encoder_model_network_2_5_token_mixer_reparam_conv_weight_to_fp16, x = input_163_cast_fp16)[name = tensor("input_165_cast_fp16")]; + tensor var_542 = const()[name = tensor("op_542"), val = tensor([1, 1])]; + tensor var_544 = const()[name = tensor("op_544"), val = tensor([1, 1])]; + tensor input_167_pad_type_0 = const()[name = tensor("input_167_pad_type_0"), val = tensor("custom")]; + tensor input_167_pad_0 = const()[name = tensor("input_167_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_169_weight_0_to_fp16 = const()[name = tensor("input_169_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2082688)))]; + tensor input_169_bias_0_to_fp16 = const()[name = tensor("input_169_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2098432)))]; + tensor input_169_cast_fp16 = conv(bias = input_169_bias_0_to_fp16, dilations = var_544, groups = var_16, pad = input_167_pad_0, pad_type = input_167_pad_type_0, strides = var_542, weight = input_169_weight_0_to_fp16, x = input_165_cast_fp16)[name = tensor("input_169_cast_fp16")]; + tensor var_554 = const()[name = tensor("op_554"), val = tensor([1, 1])]; + tensor var_556 = const()[name = tensor("op_556"), val = tensor([1, 1])]; + tensor input_171_pad_type_0 = const()[name = tensor("input_171_pad_type_0"), val = tensor("custom")]; + tensor input_171_pad_0 = const()[name = tensor("input_171_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_2_5_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_5_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2098816)))]; + tensor original_model_image_encoder_model_network_2_5_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_5_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2252480)))]; + tensor input_171_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_5_convffn_fc1_bias_to_fp16, dilations = var_556, groups = var_8, pad = input_171_pad_0, pad_type = input_171_pad_type_0, strides = var_554, weight = original_model_image_encoder_model_network_2_5_convffn_fc1_weight_to_fp16, x = input_169_cast_fp16)[name = tensor("input_171_cast_fp16")]; + tensor input_173_mode_0 = const()[name = tensor("input_173_mode_0"), val = tensor("EXACT")]; + tensor input_173_cast_fp16 = gelu(mode = input_173_mode_0, x = input_171_cast_fp16)[name = tensor("input_173_cast_fp16")]; + tensor var_563 = const()[name = tensor("op_563"), val = tensor([1, 1])]; + tensor var_565 = const()[name = tensor("op_565"), val = tensor([1, 1])]; + tensor input_177_pad_type_0 = const()[name = tensor("input_177_pad_type_0"), val = tensor("custom")]; + tensor input_177_pad_0 = const()[name = tensor("input_177_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_569_weight_0_to_fp16 = const()[name = tensor("op_569_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2253504)))]; + tensor var_569_bias_0_to_fp16 = const()[name = tensor("op_569_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2407168)))]; + tensor var_569_cast_fp16 = conv(bias = var_569_bias_0_to_fp16, dilations = var_565, groups = var_8, pad = input_177_pad_0, pad_type = input_177_pad_type_0, strides = var_563, weight = var_569_weight_0_to_fp16, x = input_173_cast_fp16)[name = tensor("op_569_cast_fp16")]; + tensor input_179_cast_fp16 = add(x = input_165_cast_fp16, y = var_569_cast_fp16)[name = tensor("input_179_cast_fp16")]; + tensor var_577 = const()[name = tensor("op_577"), val = tensor([1, 1])]; + tensor var_579 = const()[name = tensor("op_579"), val = tensor([1, 1])]; + tensor input_181_pad_type_0 = const()[name = tensor("input_181_pad_type_0"), val = tensor("custom")]; + tensor input_181_pad_0 = const()[name = tensor("input_181_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_2_6_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_6_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2407552)))]; + tensor original_model_image_encoder_model_network_2_6_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_6_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2410496)))]; + tensor input_181_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_6_token_mixer_reparam_conv_bias_to_fp16, dilations = var_579, groups = var_16, pad = input_181_pad_0, pad_type = input_181_pad_type_0, strides = var_577, weight = original_model_image_encoder_model_network_2_6_token_mixer_reparam_conv_weight_to_fp16, x = input_179_cast_fp16)[name = tensor("input_181_cast_fp16")]; + tensor var_588 = const()[name = tensor("op_588"), val = tensor([1, 1])]; + tensor var_590 = const()[name = tensor("op_590"), val = tensor([1, 1])]; + tensor input_183_pad_type_0 = const()[name = tensor("input_183_pad_type_0"), val = tensor("custom")]; + tensor input_183_pad_0 = const()[name = tensor("input_183_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_185_weight_0_to_fp16 = const()[name = tensor("input_185_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2410880)))]; + tensor input_185_bias_0_to_fp16 = const()[name = tensor("input_185_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2426624)))]; + tensor input_185_cast_fp16 = conv(bias = input_185_bias_0_to_fp16, dilations = var_590, groups = var_16, pad = input_183_pad_0, pad_type = input_183_pad_type_0, strides = var_588, weight = input_185_weight_0_to_fp16, x = input_181_cast_fp16)[name = tensor("input_185_cast_fp16")]; + tensor var_600 = const()[name = tensor("op_600"), val = tensor([1, 1])]; + tensor var_602 = const()[name = tensor("op_602"), val = tensor([1, 1])]; + tensor input_187_pad_type_0 = const()[name = tensor("input_187_pad_type_0"), val = tensor("custom")]; + tensor input_187_pad_0 = const()[name = tensor("input_187_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_2_6_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_6_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2427008)))]; + tensor original_model_image_encoder_model_network_2_6_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_6_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2580672)))]; + tensor input_187_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_6_convffn_fc1_bias_to_fp16, dilations = var_602, groups = var_8, pad = input_187_pad_0, pad_type = input_187_pad_type_0, strides = var_600, weight = original_model_image_encoder_model_network_2_6_convffn_fc1_weight_to_fp16, x = input_185_cast_fp16)[name = tensor("input_187_cast_fp16")]; + tensor input_189_mode_0 = const()[name = tensor("input_189_mode_0"), val = tensor("EXACT")]; + tensor input_189_cast_fp16 = gelu(mode = input_189_mode_0, x = input_187_cast_fp16)[name = tensor("input_189_cast_fp16")]; + tensor var_609 = const()[name = tensor("op_609"), val = tensor([1, 1])]; + tensor var_611 = const()[name = tensor("op_611"), val = tensor([1, 1])]; + tensor input_193_pad_type_0 = const()[name = tensor("input_193_pad_type_0"), val = tensor("custom")]; + tensor input_193_pad_0 = const()[name = tensor("input_193_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_615_weight_0_to_fp16 = const()[name = tensor("op_615_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2581696)))]; + tensor var_615_bias_0_to_fp16 = const()[name = tensor("op_615_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2735360)))]; + tensor var_615_cast_fp16 = conv(bias = var_615_bias_0_to_fp16, dilations = var_611, groups = var_8, pad = input_193_pad_0, pad_type = input_193_pad_type_0, strides = var_609, weight = var_615_weight_0_to_fp16, x = input_189_cast_fp16)[name = tensor("op_615_cast_fp16")]; + tensor input_195_cast_fp16 = add(x = input_181_cast_fp16, y = var_615_cast_fp16)[name = tensor("input_195_cast_fp16")]; + tensor var_623 = const()[name = tensor("op_623"), val = tensor([1, 1])]; + tensor var_625 = const()[name = tensor("op_625"), val = tensor([1, 1])]; + tensor input_197_pad_type_0 = const()[name = tensor("input_197_pad_type_0"), val = tensor("custom")]; + tensor input_197_pad_0 = const()[name = tensor("input_197_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_2_7_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_7_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2735744)))]; + tensor original_model_image_encoder_model_network_2_7_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_7_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2738688)))]; + tensor input_197_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_7_token_mixer_reparam_conv_bias_to_fp16, dilations = var_625, groups = var_16, pad = input_197_pad_0, pad_type = input_197_pad_type_0, strides = var_623, weight = original_model_image_encoder_model_network_2_7_token_mixer_reparam_conv_weight_to_fp16, x = input_195_cast_fp16)[name = tensor("input_197_cast_fp16")]; + tensor var_634 = const()[name = tensor("op_634"), val = tensor([1, 1])]; + tensor var_636 = const()[name = tensor("op_636"), val = tensor([1, 1])]; + tensor input_199_pad_type_0 = const()[name = tensor("input_199_pad_type_0"), val = tensor("custom")]; + tensor input_199_pad_0 = const()[name = tensor("input_199_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_201_weight_0_to_fp16 = const()[name = tensor("input_201_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2739072)))]; + tensor input_201_bias_0_to_fp16 = const()[name = tensor("input_201_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2754816)))]; + tensor input_201_cast_fp16 = conv(bias = input_201_bias_0_to_fp16, dilations = var_636, groups = var_16, pad = input_199_pad_0, pad_type = input_199_pad_type_0, strides = var_634, weight = input_201_weight_0_to_fp16, x = input_197_cast_fp16)[name = tensor("input_201_cast_fp16")]; + tensor var_646 = const()[name = tensor("op_646"), val = tensor([1, 1])]; + tensor var_648 = const()[name = tensor("op_648"), val = tensor([1, 1])]; + tensor input_203_pad_type_0 = const()[name = tensor("input_203_pad_type_0"), val = tensor("custom")]; + tensor input_203_pad_0 = const()[name = tensor("input_203_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_2_7_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_7_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2755200)))]; + tensor original_model_image_encoder_model_network_2_7_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_7_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2908864)))]; + tensor input_203_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_7_convffn_fc1_bias_to_fp16, dilations = var_648, groups = var_8, pad = input_203_pad_0, pad_type = input_203_pad_type_0, strides = var_646, weight = original_model_image_encoder_model_network_2_7_convffn_fc1_weight_to_fp16, x = input_201_cast_fp16)[name = tensor("input_203_cast_fp16")]; + tensor input_205_mode_0 = const()[name = tensor("input_205_mode_0"), val = tensor("EXACT")]; + tensor input_205_cast_fp16 = gelu(mode = input_205_mode_0, x = input_203_cast_fp16)[name = tensor("input_205_cast_fp16")]; + tensor var_655 = const()[name = tensor("op_655"), val = tensor([1, 1])]; + tensor var_657 = const()[name = tensor("op_657"), val = tensor([1, 1])]; + tensor input_209_pad_type_0 = const()[name = tensor("input_209_pad_type_0"), val = tensor("custom")]; + tensor input_209_pad_0 = const()[name = tensor("input_209_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_661_weight_0_to_fp16 = const()[name = tensor("op_661_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2909888)))]; + tensor var_661_bias_0_to_fp16 = const()[name = tensor("op_661_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3063552)))]; + tensor var_661_cast_fp16 = conv(bias = var_661_bias_0_to_fp16, dilations = var_657, groups = var_8, pad = input_209_pad_0, pad_type = input_209_pad_type_0, strides = var_655, weight = var_661_weight_0_to_fp16, x = input_205_cast_fp16)[name = tensor("op_661_cast_fp16")]; + tensor input_211_cast_fp16 = add(x = input_197_cast_fp16, y = var_661_cast_fp16)[name = tensor("input_211_cast_fp16")]; + tensor var_669 = const()[name = tensor("op_669"), val = tensor([1, 1])]; + tensor var_671 = const()[name = tensor("op_671"), val = tensor([1, 1])]; + tensor input_213_pad_type_0 = const()[name = tensor("input_213_pad_type_0"), val = tensor("custom")]; + tensor input_213_pad_0 = const()[name = tensor("input_213_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_2_8_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_8_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3063936)))]; + tensor original_model_image_encoder_model_network_2_8_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_8_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3066880)))]; + tensor input_213_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_8_token_mixer_reparam_conv_bias_to_fp16, dilations = var_671, groups = var_16, pad = input_213_pad_0, pad_type = input_213_pad_type_0, strides = var_669, weight = original_model_image_encoder_model_network_2_8_token_mixer_reparam_conv_weight_to_fp16, x = input_211_cast_fp16)[name = tensor("input_213_cast_fp16")]; + tensor var_680 = const()[name = tensor("op_680"), val = tensor([1, 1])]; + tensor var_682 = const()[name = tensor("op_682"), val = tensor([1, 1])]; + tensor input_215_pad_type_0 = const()[name = tensor("input_215_pad_type_0"), val = tensor("custom")]; + tensor input_215_pad_0 = const()[name = tensor("input_215_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_217_weight_0_to_fp16 = const()[name = tensor("input_217_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3067264)))]; + tensor input_217_bias_0_to_fp16 = const()[name = tensor("input_217_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3083008)))]; + tensor input_217_cast_fp16 = conv(bias = input_217_bias_0_to_fp16, dilations = var_682, groups = var_16, pad = input_215_pad_0, pad_type = input_215_pad_type_0, strides = var_680, weight = input_217_weight_0_to_fp16, x = input_213_cast_fp16)[name = tensor("input_217_cast_fp16")]; + tensor var_692 = const()[name = tensor("op_692"), val = tensor([1, 1])]; + tensor var_694 = const()[name = tensor("op_694"), val = tensor([1, 1])]; + tensor input_219_pad_type_0 = const()[name = tensor("input_219_pad_type_0"), val = tensor("custom")]; + tensor input_219_pad_0 = const()[name = tensor("input_219_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_2_8_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_8_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3083392)))]; + tensor original_model_image_encoder_model_network_2_8_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_8_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3237056)))]; + tensor input_219_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_8_convffn_fc1_bias_to_fp16, dilations = var_694, groups = var_8, pad = input_219_pad_0, pad_type = input_219_pad_type_0, strides = var_692, weight = original_model_image_encoder_model_network_2_8_convffn_fc1_weight_to_fp16, x = input_217_cast_fp16)[name = tensor("input_219_cast_fp16")]; + tensor input_221_mode_0 = const()[name = tensor("input_221_mode_0"), val = tensor("EXACT")]; + tensor input_221_cast_fp16 = gelu(mode = input_221_mode_0, x = input_219_cast_fp16)[name = tensor("input_221_cast_fp16")]; + tensor var_701 = const()[name = tensor("op_701"), val = tensor([1, 1])]; + tensor var_703 = const()[name = tensor("op_703"), val = tensor([1, 1])]; + tensor input_225_pad_type_0 = const()[name = tensor("input_225_pad_type_0"), val = tensor("custom")]; + tensor input_225_pad_0 = const()[name = tensor("input_225_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_707_weight_0_to_fp16 = const()[name = tensor("op_707_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3238080)))]; + tensor var_707_bias_0_to_fp16 = const()[name = tensor("op_707_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3391744)))]; + tensor var_707_cast_fp16 = conv(bias = var_707_bias_0_to_fp16, dilations = var_703, groups = var_8, pad = input_225_pad_0, pad_type = input_225_pad_type_0, strides = var_701, weight = var_707_weight_0_to_fp16, x = input_221_cast_fp16)[name = tensor("op_707_cast_fp16")]; + tensor input_227_cast_fp16 = add(x = input_213_cast_fp16, y = var_707_cast_fp16)[name = tensor("input_227_cast_fp16")]; + tensor var_715 = const()[name = tensor("op_715"), val = tensor([1, 1])]; + tensor var_717 = const()[name = tensor("op_717"), val = tensor([1, 1])]; + tensor input_229_pad_type_0 = const()[name = tensor("input_229_pad_type_0"), val = tensor("custom")]; + tensor input_229_pad_0 = const()[name = tensor("input_229_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_2_9_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_9_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3392128)))]; + tensor original_model_image_encoder_model_network_2_9_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_9_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3395072)))]; + tensor input_229_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_9_token_mixer_reparam_conv_bias_to_fp16, dilations = var_717, groups = var_16, pad = input_229_pad_0, pad_type = input_229_pad_type_0, strides = var_715, weight = original_model_image_encoder_model_network_2_9_token_mixer_reparam_conv_weight_to_fp16, x = input_227_cast_fp16)[name = tensor("input_229_cast_fp16")]; + tensor var_726 = const()[name = tensor("op_726"), val = tensor([1, 1])]; + tensor var_728 = const()[name = tensor("op_728"), val = tensor([1, 1])]; + tensor input_231_pad_type_0 = const()[name = tensor("input_231_pad_type_0"), val = tensor("custom")]; + tensor input_231_pad_0 = const()[name = tensor("input_231_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_233_weight_0_to_fp16 = const()[name = tensor("input_233_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3395456)))]; + tensor input_233_bias_0_to_fp16 = const()[name = tensor("input_233_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3411200)))]; + tensor input_233_cast_fp16 = conv(bias = input_233_bias_0_to_fp16, dilations = var_728, groups = var_16, pad = input_231_pad_0, pad_type = input_231_pad_type_0, strides = var_726, weight = input_233_weight_0_to_fp16, x = input_229_cast_fp16)[name = tensor("input_233_cast_fp16")]; + tensor var_738 = const()[name = tensor("op_738"), val = tensor([1, 1])]; + tensor var_740 = const()[name = tensor("op_740"), val = tensor([1, 1])]; + tensor input_235_pad_type_0 = const()[name = tensor("input_235_pad_type_0"), val = tensor("custom")]; + tensor input_235_pad_0 = const()[name = tensor("input_235_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_2_9_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_9_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3411584)))]; + tensor original_model_image_encoder_model_network_2_9_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_9_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3565248)))]; + tensor input_235_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_9_convffn_fc1_bias_to_fp16, dilations = var_740, groups = var_8, pad = input_235_pad_0, pad_type = input_235_pad_type_0, strides = var_738, weight = original_model_image_encoder_model_network_2_9_convffn_fc1_weight_to_fp16, x = input_233_cast_fp16)[name = tensor("input_235_cast_fp16")]; + tensor input_237_mode_0 = const()[name = tensor("input_237_mode_0"), val = tensor("EXACT")]; + tensor input_237_cast_fp16 = gelu(mode = input_237_mode_0, x = input_235_cast_fp16)[name = tensor("input_237_cast_fp16")]; + tensor var_747 = const()[name = tensor("op_747"), val = tensor([1, 1])]; + tensor var_749 = const()[name = tensor("op_749"), val = tensor([1, 1])]; + tensor input_241_pad_type_0 = const()[name = tensor("input_241_pad_type_0"), val = tensor("custom")]; + tensor input_241_pad_0 = const()[name = tensor("input_241_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_753_weight_0_to_fp16 = const()[name = tensor("op_753_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3566272)))]; + tensor var_753_bias_0_to_fp16 = const()[name = tensor("op_753_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3719936)))]; + tensor var_753_cast_fp16 = conv(bias = var_753_bias_0_to_fp16, dilations = var_749, groups = var_8, pad = input_241_pad_0, pad_type = input_241_pad_type_0, strides = var_747, weight = var_753_weight_0_to_fp16, x = input_237_cast_fp16)[name = tensor("op_753_cast_fp16")]; + tensor input_243_cast_fp16 = add(x = input_229_cast_fp16, y = var_753_cast_fp16)[name = tensor("input_243_cast_fp16")]; + tensor var_761 = const()[name = tensor("op_761"), val = tensor([1, 1])]; + tensor var_763 = const()[name = tensor("op_763"), val = tensor([1, 1])]; + tensor input_245_pad_type_0 = const()[name = tensor("input_245_pad_type_0"), val = tensor("custom")]; + tensor input_245_pad_0 = const()[name = tensor("input_245_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_2_10_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_10_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3720320)))]; + tensor original_model_image_encoder_model_network_2_10_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_10_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3723264)))]; + tensor input_245_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_10_token_mixer_reparam_conv_bias_to_fp16, dilations = var_763, groups = var_16, pad = input_245_pad_0, pad_type = input_245_pad_type_0, strides = var_761, weight = original_model_image_encoder_model_network_2_10_token_mixer_reparam_conv_weight_to_fp16, x = input_243_cast_fp16)[name = tensor("input_245_cast_fp16")]; + tensor var_772 = const()[name = tensor("op_772"), val = tensor([1, 1])]; + tensor var_774 = const()[name = tensor("op_774"), val = tensor([1, 1])]; + tensor input_247_pad_type_0 = const()[name = tensor("input_247_pad_type_0"), val = tensor("custom")]; + tensor input_247_pad_0 = const()[name = tensor("input_247_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_249_weight_0_to_fp16 = const()[name = tensor("input_249_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3723648)))]; + tensor input_249_bias_0_to_fp16 = const()[name = tensor("input_249_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3739392)))]; + tensor input_249_cast_fp16 = conv(bias = input_249_bias_0_to_fp16, dilations = var_774, groups = var_16, pad = input_247_pad_0, pad_type = input_247_pad_type_0, strides = var_772, weight = input_249_weight_0_to_fp16, x = input_245_cast_fp16)[name = tensor("input_249_cast_fp16")]; + tensor var_784 = const()[name = tensor("op_784"), val = tensor([1, 1])]; + tensor var_786 = const()[name = tensor("op_786"), val = tensor([1, 1])]; + tensor input_251_pad_type_0 = const()[name = tensor("input_251_pad_type_0"), val = tensor("custom")]; + tensor input_251_pad_0 = const()[name = tensor("input_251_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_2_10_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_10_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3739776)))]; + tensor original_model_image_encoder_model_network_2_10_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_10_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3893440)))]; + tensor input_251_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_10_convffn_fc1_bias_to_fp16, dilations = var_786, groups = var_8, pad = input_251_pad_0, pad_type = input_251_pad_type_0, strides = var_784, weight = original_model_image_encoder_model_network_2_10_convffn_fc1_weight_to_fp16, x = input_249_cast_fp16)[name = tensor("input_251_cast_fp16")]; + tensor input_253_mode_0 = const()[name = tensor("input_253_mode_0"), val = tensor("EXACT")]; + tensor input_253_cast_fp16 = gelu(mode = input_253_mode_0, x = input_251_cast_fp16)[name = tensor("input_253_cast_fp16")]; + tensor var_793 = const()[name = tensor("op_793"), val = tensor([1, 1])]; + tensor var_795 = const()[name = tensor("op_795"), val = tensor([1, 1])]; + tensor input_257_pad_type_0 = const()[name = tensor("input_257_pad_type_0"), val = tensor("custom")]; + tensor input_257_pad_0 = const()[name = tensor("input_257_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_799_weight_0_to_fp16 = const()[name = tensor("op_799_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3894464)))]; + tensor var_799_bias_0_to_fp16 = const()[name = tensor("op_799_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4048128)))]; + tensor var_799_cast_fp16 = conv(bias = var_799_bias_0_to_fp16, dilations = var_795, groups = var_8, pad = input_257_pad_0, pad_type = input_257_pad_type_0, strides = var_793, weight = var_799_weight_0_to_fp16, x = input_253_cast_fp16)[name = tensor("op_799_cast_fp16")]; + tensor input_259_cast_fp16 = add(x = input_245_cast_fp16, y = var_799_cast_fp16)[name = tensor("input_259_cast_fp16")]; + tensor var_807 = const()[name = tensor("op_807"), val = tensor([1, 1])]; + tensor var_809 = const()[name = tensor("op_809"), val = tensor([1, 1])]; + tensor input_261_pad_type_0 = const()[name = tensor("input_261_pad_type_0"), val = tensor("custom")]; + tensor input_261_pad_0 = const()[name = tensor("input_261_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_2_11_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_11_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4048512)))]; + tensor original_model_image_encoder_model_network_2_11_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_11_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4051456)))]; + tensor input_261_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_11_token_mixer_reparam_conv_bias_to_fp16, dilations = var_809, groups = var_16, pad = input_261_pad_0, pad_type = input_261_pad_type_0, strides = var_807, weight = original_model_image_encoder_model_network_2_11_token_mixer_reparam_conv_weight_to_fp16, x = input_259_cast_fp16)[name = tensor("input_261_cast_fp16")]; + tensor var_818 = const()[name = tensor("op_818"), val = tensor([1, 1])]; + tensor var_820 = const()[name = tensor("op_820"), val = tensor([1, 1])]; + tensor input_263_pad_type_0 = const()[name = tensor("input_263_pad_type_0"), val = tensor("custom")]; + tensor input_263_pad_0 = const()[name = tensor("input_263_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_265_weight_0_to_fp16 = const()[name = tensor("input_265_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4051840)))]; + tensor input_265_bias_0_to_fp16 = const()[name = tensor("input_265_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4067584)))]; + tensor input_265_cast_fp16 = conv(bias = input_265_bias_0_to_fp16, dilations = var_820, groups = var_16, pad = input_263_pad_0, pad_type = input_263_pad_type_0, strides = var_818, weight = input_265_weight_0_to_fp16, x = input_261_cast_fp16)[name = tensor("input_265_cast_fp16")]; + tensor var_830 = const()[name = tensor("op_830"), val = tensor([1, 1])]; + tensor var_832 = const()[name = tensor("op_832"), val = tensor([1, 1])]; + tensor input_267_pad_type_0 = const()[name = tensor("input_267_pad_type_0"), val = tensor("custom")]; + tensor input_267_pad_0 = const()[name = tensor("input_267_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_2_11_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_11_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4067968)))]; + tensor original_model_image_encoder_model_network_2_11_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_2_11_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4221632)))]; + tensor input_267_cast_fp16 = conv(bias = original_model_image_encoder_model_network_2_11_convffn_fc1_bias_to_fp16, dilations = var_832, groups = var_8, pad = input_267_pad_0, pad_type = input_267_pad_type_0, strides = var_830, weight = original_model_image_encoder_model_network_2_11_convffn_fc1_weight_to_fp16, x = input_265_cast_fp16)[name = tensor("input_267_cast_fp16")]; + tensor input_269_mode_0 = const()[name = tensor("input_269_mode_0"), val = tensor("EXACT")]; + tensor input_269_cast_fp16 = gelu(mode = input_269_mode_0, x = input_267_cast_fp16)[name = tensor("input_269_cast_fp16")]; + tensor var_839 = const()[name = tensor("op_839"), val = tensor([1, 1])]; + tensor var_841 = const()[name = tensor("op_841"), val = tensor([1, 1])]; + tensor input_273_pad_type_0 = const()[name = tensor("input_273_pad_type_0"), val = tensor("custom")]; + tensor input_273_pad_0 = const()[name = tensor("input_273_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_845_weight_0_to_fp16 = const()[name = tensor("op_845_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4222656)))]; + tensor var_845_bias_0_to_fp16 = const()[name = tensor("op_845_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4376320)))]; + tensor var_845_cast_fp16 = conv(bias = var_845_bias_0_to_fp16, dilations = var_841, groups = var_8, pad = input_273_pad_0, pad_type = input_273_pad_type_0, strides = var_839, weight = var_845_weight_0_to_fp16, x = input_269_cast_fp16)[name = tensor("op_845_cast_fp16")]; + tensor input_275_cast_fp16 = add(x = input_261_cast_fp16, y = var_845_cast_fp16)[name = tensor("input_275_cast_fp16")]; + tensor var_854 = const()[name = tensor("op_854"), val = tensor([2, 2])]; + tensor var_856 = const()[name = tensor("op_856"), val = tensor([1, 1])]; + tensor x_1_pad_type_0 = const()[name = tensor("x_1_pad_type_0"), val = tensor("custom")]; + tensor x_1_pad_0 = const()[name = tensor("x_1_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor original_model_image_encoder_model_network_3_proj_0_lkb_reparam_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_3_proj_0_lkb_reparam_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4376704)))]; + tensor original_model_image_encoder_model_network_3_proj_0_lkb_reparam_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_3_proj_0_lkb_reparam_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4408128)))]; + tensor x_1_cast_fp16 = conv(bias = original_model_image_encoder_model_network_3_proj_0_lkb_reparam_bias_to_fp16, dilations = var_856, groups = var_16, pad = x_1_pad_0, pad_type = x_1_pad_type_0, strides = var_854, weight = original_model_image_encoder_model_network_3_proj_0_lkb_reparam_weight_to_fp16, x = input_275_cast_fp16)[name = tensor("x_1_cast_fp16")]; + tensor var_861 = const()[name = tensor("op_861"), val = tensor([2, 3])]; + tensor input_277_cast_fp16 = reduce_mean(axes = var_861, keep_dims = var_5, x = x_1_cast_fp16)[name = tensor("input_277_cast_fp16")]; + tensor var_865 = const()[name = tensor("op_865"), val = tensor([1, 1])]; + tensor var_867 = const()[name = tensor("op_867"), val = tensor([1, 1])]; + tensor input_279_pad_type_0 = const()[name = tensor("input_279_pad_type_0"), val = tensor("custom")]; + tensor input_279_pad_0 = const()[name = tensor("input_279_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_3_proj_0_se_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_3_proj_0_se_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4408832)))]; + tensor original_model_image_encoder_model_network_3_proj_0_se_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_3_proj_0_se_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4460096)))]; + tensor input_279_cast_fp16 = conv(bias = original_model_image_encoder_model_network_3_proj_0_se_fc1_bias_to_fp16, dilations = var_867, groups = var_8, pad = input_279_pad_0, pad_type = input_279_pad_type_0, strides = var_865, weight = original_model_image_encoder_model_network_3_proj_0_se_fc1_weight_to_fp16, x = input_277_cast_fp16)[name = tensor("input_279_cast_fp16")]; + tensor input_281_cast_fp16 = relu(x = input_279_cast_fp16)[name = tensor("input_281_cast_fp16")]; + tensor var_873 = const()[name = tensor("op_873"), val = tensor([1, 1])]; + tensor var_875 = const()[name = tensor("op_875"), val = tensor([1, 1])]; + tensor x_3_pad_type_0 = const()[name = tensor("x_3_pad_type_0"), val = tensor("custom")]; + tensor x_3_pad_0 = const()[name = tensor("x_3_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_3_proj_0_se_fc2_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_3_proj_0_se_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4460352)))]; + tensor original_model_image_encoder_model_network_3_proj_0_se_fc2_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_3_proj_0_se_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4511616)))]; + tensor x_3_cast_fp16 = conv(bias = original_model_image_encoder_model_network_3_proj_0_se_fc2_bias_to_fp16, dilations = var_875, groups = var_8, pad = x_3_pad_0, pad_type = x_3_pad_type_0, strides = var_873, weight = original_model_image_encoder_model_network_3_proj_0_se_fc2_weight_to_fp16, x = input_281_cast_fp16)[name = tensor("x_3_cast_fp16")]; + tensor var_878_cast_fp16 = sigmoid(x = x_3_cast_fp16)[name = tensor("op_878_cast_fp16")]; + tensor input_283_cast_fp16 = mul(x = x_1_cast_fp16, y = var_878_cast_fp16)[name = tensor("input_283_cast_fp16")]; + tensor input_285_mode_0 = const()[name = tensor("input_285_mode_0"), val = tensor("EXACT")]; + tensor input_285_cast_fp16 = gelu(mode = input_285_mode_0, x = input_283_cast_fp16)[name = tensor("input_285_cast_fp16")]; + tensor var_884 = const()[name = tensor("op_884"), val = tensor([1, 1])]; + tensor var_886 = const()[name = tensor("op_886"), val = tensor([1, 1])]; + tensor input_287_pad_type_0 = const()[name = tensor("input_287_pad_type_0"), val = tensor("custom")]; + tensor input_287_pad_0 = const()[name = tensor("input_287_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_3_proj_1_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_3_proj_1_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4512320)))]; + tensor original_model_image_encoder_model_network_3_proj_1_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_3_proj_1_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4717184)))]; + tensor input_287_cast_fp16 = conv(bias = original_model_image_encoder_model_network_3_proj_1_reparam_conv_bias_to_fp16, dilations = var_886, groups = var_8, pad = input_287_pad_0, pad_type = input_287_pad_type_0, strides = var_884, weight = original_model_image_encoder_model_network_3_proj_1_reparam_conv_weight_to_fp16, x = input_285_cast_fp16)[name = tensor("input_287_cast_fp16")]; + tensor input_289_mode_0 = const()[name = tensor("input_289_mode_0"), val = tensor("EXACT")]; + tensor input_289_cast_fp16 = gelu(mode = input_289_mode_0, x = input_287_cast_fp16)[name = tensor("input_289_cast_fp16")]; + tensor var_920 = const()[name = tensor("op_920"), val = tensor([1, 1])]; + tensor var_922 = const()[name = tensor("op_922"), val = tensor([1, 1])]; + tensor input_291_pad_type_0 = const()[name = tensor("input_291_pad_type_0"), val = tensor("custom")]; + tensor input_291_pad_0 = const()[name = tensor("input_291_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_0_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_0_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4717888)))]; + tensor original_model_image_encoder_model_network_4_0_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_0_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4723712)))]; + tensor input_291_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_0_token_mixer_reparam_conv_bias_to_fp16, dilations = var_922, groups = var_17, pad = input_291_pad_0, pad_type = input_291_pad_type_0, strides = var_920, weight = original_model_image_encoder_model_network_4_0_token_mixer_reparam_conv_weight_to_fp16, x = input_289_cast_fp16)[name = tensor("input_291_cast_fp16")]; + tensor var_931 = const()[name = tensor("op_931"), val = tensor([1, 1])]; + tensor var_933 = const()[name = tensor("op_933"), val = tensor([1, 1])]; + tensor input_293_pad_type_0 = const()[name = tensor("input_293_pad_type_0"), val = tensor("custom")]; + tensor input_293_pad_0 = const()[name = tensor("input_293_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_295_weight_0_to_fp16 = const()[name = tensor("input_295_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4724416)))]; + tensor input_295_bias_0_to_fp16 = const()[name = tensor("input_295_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4755840)))]; + tensor input_295_cast_fp16 = conv(bias = input_295_bias_0_to_fp16, dilations = var_933, groups = var_17, pad = input_293_pad_0, pad_type = input_293_pad_type_0, strides = var_931, weight = input_295_weight_0_to_fp16, x = input_291_cast_fp16)[name = tensor("input_295_cast_fp16")]; + tensor var_943 = const()[name = tensor("op_943"), val = tensor([1, 1])]; + tensor var_945 = const()[name = tensor("op_945"), val = tensor([1, 1])]; + tensor input_297_pad_type_0 = const()[name = tensor("input_297_pad_type_0"), val = tensor("custom")]; + tensor input_297_pad_0 = const()[name = tensor("input_297_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_0_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_0_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4756544)))]; + tensor original_model_image_encoder_model_network_4_0_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_0_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5371008)))]; + tensor input_297_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_0_convffn_fc1_bias_to_fp16, dilations = var_945, groups = var_8, pad = input_297_pad_0, pad_type = input_297_pad_type_0, strides = var_943, weight = original_model_image_encoder_model_network_4_0_convffn_fc1_weight_to_fp16, x = input_295_cast_fp16)[name = tensor("input_297_cast_fp16")]; + tensor input_299_mode_0 = const()[name = tensor("input_299_mode_0"), val = tensor("EXACT")]; + tensor input_299_cast_fp16 = gelu(mode = input_299_mode_0, x = input_297_cast_fp16)[name = tensor("input_299_cast_fp16")]; + tensor var_952 = const()[name = tensor("op_952"), val = tensor([1, 1])]; + tensor var_954 = const()[name = tensor("op_954"), val = tensor([1, 1])]; + tensor input_303_pad_type_0 = const()[name = tensor("input_303_pad_type_0"), val = tensor("custom")]; + tensor input_303_pad_0 = const()[name = tensor("input_303_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_958_weight_0_to_fp16 = const()[name = tensor("op_958_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5372992)))]; + tensor var_958_bias_0_to_fp16 = const()[name = tensor("op_958_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5987456)))]; + tensor var_958_cast_fp16 = conv(bias = var_958_bias_0_to_fp16, dilations = var_954, groups = var_8, pad = input_303_pad_0, pad_type = input_303_pad_type_0, strides = var_952, weight = var_958_weight_0_to_fp16, x = input_299_cast_fp16)[name = tensor("op_958_cast_fp16")]; + tensor input_305_cast_fp16 = add(x = input_291_cast_fp16, y = var_958_cast_fp16)[name = tensor("input_305_cast_fp16")]; + tensor var_966 = const()[name = tensor("op_966"), val = tensor([1, 1])]; + tensor var_968 = const()[name = tensor("op_968"), val = tensor([1, 1])]; + tensor input_307_pad_type_0 = const()[name = tensor("input_307_pad_type_0"), val = tensor("custom")]; + tensor input_307_pad_0 = const()[name = tensor("input_307_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_1_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_1_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5988160)))]; + tensor original_model_image_encoder_model_network_4_1_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_1_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5993984)))]; + tensor input_307_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_1_token_mixer_reparam_conv_bias_to_fp16, dilations = var_968, groups = var_17, pad = input_307_pad_0, pad_type = input_307_pad_type_0, strides = var_966, weight = original_model_image_encoder_model_network_4_1_token_mixer_reparam_conv_weight_to_fp16, x = input_305_cast_fp16)[name = tensor("input_307_cast_fp16")]; + tensor var_977 = const()[name = tensor("op_977"), val = tensor([1, 1])]; + tensor var_979 = const()[name = tensor("op_979"), val = tensor([1, 1])]; + tensor input_309_pad_type_0 = const()[name = tensor("input_309_pad_type_0"), val = tensor("custom")]; + tensor input_309_pad_0 = const()[name = tensor("input_309_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_311_weight_0_to_fp16 = const()[name = tensor("input_311_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(5994688)))]; + tensor input_311_bias_0_to_fp16 = const()[name = tensor("input_311_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6026112)))]; + tensor input_311_cast_fp16 = conv(bias = input_311_bias_0_to_fp16, dilations = var_979, groups = var_17, pad = input_309_pad_0, pad_type = input_309_pad_type_0, strides = var_977, weight = input_311_weight_0_to_fp16, x = input_307_cast_fp16)[name = tensor("input_311_cast_fp16")]; + tensor var_989 = const()[name = tensor("op_989"), val = tensor([1, 1])]; + tensor var_991 = const()[name = tensor("op_991"), val = tensor([1, 1])]; + tensor input_313_pad_type_0 = const()[name = tensor("input_313_pad_type_0"), val = tensor("custom")]; + tensor input_313_pad_0 = const()[name = tensor("input_313_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_1_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_1_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6026816)))]; + tensor original_model_image_encoder_model_network_4_1_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_1_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6641280)))]; + tensor input_313_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_1_convffn_fc1_bias_to_fp16, dilations = var_991, groups = var_8, pad = input_313_pad_0, pad_type = input_313_pad_type_0, strides = var_989, weight = original_model_image_encoder_model_network_4_1_convffn_fc1_weight_to_fp16, x = input_311_cast_fp16)[name = tensor("input_313_cast_fp16")]; + tensor input_315_mode_0 = const()[name = tensor("input_315_mode_0"), val = tensor("EXACT")]; + tensor input_315_cast_fp16 = gelu(mode = input_315_mode_0, x = input_313_cast_fp16)[name = tensor("input_315_cast_fp16")]; + tensor var_998 = const()[name = tensor("op_998"), val = tensor([1, 1])]; + tensor var_1000 = const()[name = tensor("op_1000"), val = tensor([1, 1])]; + tensor input_319_pad_type_0 = const()[name = tensor("input_319_pad_type_0"), val = tensor("custom")]; + tensor input_319_pad_0 = const()[name = tensor("input_319_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1004_weight_0_to_fp16 = const()[name = tensor("op_1004_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(6643264)))]; + tensor var_1004_bias_0_to_fp16 = const()[name = tensor("op_1004_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7257728)))]; + tensor var_1004_cast_fp16 = conv(bias = var_1004_bias_0_to_fp16, dilations = var_1000, groups = var_8, pad = input_319_pad_0, pad_type = input_319_pad_type_0, strides = var_998, weight = var_1004_weight_0_to_fp16, x = input_315_cast_fp16)[name = tensor("op_1004_cast_fp16")]; + tensor input_321_cast_fp16 = add(x = input_307_cast_fp16, y = var_1004_cast_fp16)[name = tensor("input_321_cast_fp16")]; + tensor var_1012 = const()[name = tensor("op_1012"), val = tensor([1, 1])]; + tensor var_1014 = const()[name = tensor("op_1014"), val = tensor([1, 1])]; + tensor input_323_pad_type_0 = const()[name = tensor("input_323_pad_type_0"), val = tensor("custom")]; + tensor input_323_pad_0 = const()[name = tensor("input_323_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_2_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_2_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7258432)))]; + tensor original_model_image_encoder_model_network_4_2_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_2_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7264256)))]; + tensor input_323_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_2_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1014, groups = var_17, pad = input_323_pad_0, pad_type = input_323_pad_type_0, strides = var_1012, weight = original_model_image_encoder_model_network_4_2_token_mixer_reparam_conv_weight_to_fp16, x = input_321_cast_fp16)[name = tensor("input_323_cast_fp16")]; + tensor var_1023 = const()[name = tensor("op_1023"), val = tensor([1, 1])]; + tensor var_1025 = const()[name = tensor("op_1025"), val = tensor([1, 1])]; + tensor input_325_pad_type_0 = const()[name = tensor("input_325_pad_type_0"), val = tensor("custom")]; + tensor input_325_pad_0 = const()[name = tensor("input_325_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_327_weight_0_to_fp16 = const()[name = tensor("input_327_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7264960)))]; + tensor input_327_bias_0_to_fp16 = const()[name = tensor("input_327_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7296384)))]; + tensor input_327_cast_fp16 = conv(bias = input_327_bias_0_to_fp16, dilations = var_1025, groups = var_17, pad = input_325_pad_0, pad_type = input_325_pad_type_0, strides = var_1023, weight = input_327_weight_0_to_fp16, x = input_323_cast_fp16)[name = tensor("input_327_cast_fp16")]; + tensor var_1035 = const()[name = tensor("op_1035"), val = tensor([1, 1])]; + tensor var_1037 = const()[name = tensor("op_1037"), val = tensor([1, 1])]; + tensor input_329_pad_type_0 = const()[name = tensor("input_329_pad_type_0"), val = tensor("custom")]; + tensor input_329_pad_0 = const()[name = tensor("input_329_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_2_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_2_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7297088)))]; + tensor original_model_image_encoder_model_network_4_2_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_2_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7911552)))]; + tensor input_329_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_2_convffn_fc1_bias_to_fp16, dilations = var_1037, groups = var_8, pad = input_329_pad_0, pad_type = input_329_pad_type_0, strides = var_1035, weight = original_model_image_encoder_model_network_4_2_convffn_fc1_weight_to_fp16, x = input_327_cast_fp16)[name = tensor("input_329_cast_fp16")]; + tensor input_331_mode_0 = const()[name = tensor("input_331_mode_0"), val = tensor("EXACT")]; + tensor input_331_cast_fp16 = gelu(mode = input_331_mode_0, x = input_329_cast_fp16)[name = tensor("input_331_cast_fp16")]; + tensor var_1044 = const()[name = tensor("op_1044"), val = tensor([1, 1])]; + tensor var_1046 = const()[name = tensor("op_1046"), val = tensor([1, 1])]; + tensor input_335_pad_type_0 = const()[name = tensor("input_335_pad_type_0"), val = tensor("custom")]; + tensor input_335_pad_0 = const()[name = tensor("input_335_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1050_weight_0_to_fp16 = const()[name = tensor("op_1050_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(7913536)))]; + tensor var_1050_bias_0_to_fp16 = const()[name = tensor("op_1050_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8528000)))]; + tensor var_1050_cast_fp16 = conv(bias = var_1050_bias_0_to_fp16, dilations = var_1046, groups = var_8, pad = input_335_pad_0, pad_type = input_335_pad_type_0, strides = var_1044, weight = var_1050_weight_0_to_fp16, x = input_331_cast_fp16)[name = tensor("op_1050_cast_fp16")]; + tensor input_337_cast_fp16 = add(x = input_323_cast_fp16, y = var_1050_cast_fp16)[name = tensor("input_337_cast_fp16")]; + tensor var_1058 = const()[name = tensor("op_1058"), val = tensor([1, 1])]; + tensor var_1060 = const()[name = tensor("op_1060"), val = tensor([1, 1])]; + tensor input_339_pad_type_0 = const()[name = tensor("input_339_pad_type_0"), val = tensor("custom")]; + tensor input_339_pad_0 = const()[name = tensor("input_339_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_3_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_3_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8528704)))]; + tensor original_model_image_encoder_model_network_4_3_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_3_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8534528)))]; + tensor input_339_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_3_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1060, groups = var_17, pad = input_339_pad_0, pad_type = input_339_pad_type_0, strides = var_1058, weight = original_model_image_encoder_model_network_4_3_token_mixer_reparam_conv_weight_to_fp16, x = input_337_cast_fp16)[name = tensor("input_339_cast_fp16")]; + tensor var_1069 = const()[name = tensor("op_1069"), val = tensor([1, 1])]; + tensor var_1071 = const()[name = tensor("op_1071"), val = tensor([1, 1])]; + tensor input_341_pad_type_0 = const()[name = tensor("input_341_pad_type_0"), val = tensor("custom")]; + tensor input_341_pad_0 = const()[name = tensor("input_341_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_343_weight_0_to_fp16 = const()[name = tensor("input_343_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8535232)))]; + tensor input_343_bias_0_to_fp16 = const()[name = tensor("input_343_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8566656)))]; + tensor input_343_cast_fp16 = conv(bias = input_343_bias_0_to_fp16, dilations = var_1071, groups = var_17, pad = input_341_pad_0, pad_type = input_341_pad_type_0, strides = var_1069, weight = input_343_weight_0_to_fp16, x = input_339_cast_fp16)[name = tensor("input_343_cast_fp16")]; + tensor var_1081 = const()[name = tensor("op_1081"), val = tensor([1, 1])]; + tensor var_1083 = const()[name = tensor("op_1083"), val = tensor([1, 1])]; + tensor input_345_pad_type_0 = const()[name = tensor("input_345_pad_type_0"), val = tensor("custom")]; + tensor input_345_pad_0 = const()[name = tensor("input_345_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_3_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_3_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(8567360)))]; + tensor original_model_image_encoder_model_network_4_3_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_3_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9181824)))]; + tensor input_345_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_3_convffn_fc1_bias_to_fp16, dilations = var_1083, groups = var_8, pad = input_345_pad_0, pad_type = input_345_pad_type_0, strides = var_1081, weight = original_model_image_encoder_model_network_4_3_convffn_fc1_weight_to_fp16, x = input_343_cast_fp16)[name = tensor("input_345_cast_fp16")]; + tensor input_347_mode_0 = const()[name = tensor("input_347_mode_0"), val = tensor("EXACT")]; + tensor input_347_cast_fp16 = gelu(mode = input_347_mode_0, x = input_345_cast_fp16)[name = tensor("input_347_cast_fp16")]; + tensor var_1090 = const()[name = tensor("op_1090"), val = tensor([1, 1])]; + tensor var_1092 = const()[name = tensor("op_1092"), val = tensor([1, 1])]; + tensor input_351_pad_type_0 = const()[name = tensor("input_351_pad_type_0"), val = tensor("custom")]; + tensor input_351_pad_0 = const()[name = tensor("input_351_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1096_weight_0_to_fp16 = const()[name = tensor("op_1096_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9183808)))]; + tensor var_1096_bias_0_to_fp16 = const()[name = tensor("op_1096_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9798272)))]; + tensor var_1096_cast_fp16 = conv(bias = var_1096_bias_0_to_fp16, dilations = var_1092, groups = var_8, pad = input_351_pad_0, pad_type = input_351_pad_type_0, strides = var_1090, weight = var_1096_weight_0_to_fp16, x = input_347_cast_fp16)[name = tensor("op_1096_cast_fp16")]; + tensor input_353_cast_fp16 = add(x = input_339_cast_fp16, y = var_1096_cast_fp16)[name = tensor("input_353_cast_fp16")]; + tensor var_1104 = const()[name = tensor("op_1104"), val = tensor([1, 1])]; + tensor var_1106 = const()[name = tensor("op_1106"), val = tensor([1, 1])]; + tensor input_355_pad_type_0 = const()[name = tensor("input_355_pad_type_0"), val = tensor("custom")]; + tensor input_355_pad_0 = const()[name = tensor("input_355_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_4_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_4_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9798976)))]; + tensor original_model_image_encoder_model_network_4_4_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_4_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9804800)))]; + tensor input_355_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_4_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1106, groups = var_17, pad = input_355_pad_0, pad_type = input_355_pad_type_0, strides = var_1104, weight = original_model_image_encoder_model_network_4_4_token_mixer_reparam_conv_weight_to_fp16, x = input_353_cast_fp16)[name = tensor("input_355_cast_fp16")]; + tensor var_1115 = const()[name = tensor("op_1115"), val = tensor([1, 1])]; + tensor var_1117 = const()[name = tensor("op_1117"), val = tensor([1, 1])]; + tensor input_357_pad_type_0 = const()[name = tensor("input_357_pad_type_0"), val = tensor("custom")]; + tensor input_357_pad_0 = const()[name = tensor("input_357_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_359_weight_0_to_fp16 = const()[name = tensor("input_359_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9805504)))]; + tensor input_359_bias_0_to_fp16 = const()[name = tensor("input_359_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9836928)))]; + tensor input_359_cast_fp16 = conv(bias = input_359_bias_0_to_fp16, dilations = var_1117, groups = var_17, pad = input_357_pad_0, pad_type = input_357_pad_type_0, strides = var_1115, weight = input_359_weight_0_to_fp16, x = input_355_cast_fp16)[name = tensor("input_359_cast_fp16")]; + tensor var_1127 = const()[name = tensor("op_1127"), val = tensor([1, 1])]; + tensor var_1129 = const()[name = tensor("op_1129"), val = tensor([1, 1])]; + tensor input_361_pad_type_0 = const()[name = tensor("input_361_pad_type_0"), val = tensor("custom")]; + tensor input_361_pad_0 = const()[name = tensor("input_361_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_4_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_4_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9837632)))]; + tensor original_model_image_encoder_model_network_4_4_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_4_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(10452096)))]; + tensor input_361_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_4_convffn_fc1_bias_to_fp16, dilations = var_1129, groups = var_8, pad = input_361_pad_0, pad_type = input_361_pad_type_0, strides = var_1127, weight = original_model_image_encoder_model_network_4_4_convffn_fc1_weight_to_fp16, x = input_359_cast_fp16)[name = tensor("input_361_cast_fp16")]; + tensor input_363_mode_0 = const()[name = tensor("input_363_mode_0"), val = tensor("EXACT")]; + tensor input_363_cast_fp16 = gelu(mode = input_363_mode_0, x = input_361_cast_fp16)[name = tensor("input_363_cast_fp16")]; + tensor var_1136 = const()[name = tensor("op_1136"), val = tensor([1, 1])]; + tensor var_1138 = const()[name = tensor("op_1138"), val = tensor([1, 1])]; + tensor input_367_pad_type_0 = const()[name = tensor("input_367_pad_type_0"), val = tensor("custom")]; + tensor input_367_pad_0 = const()[name = tensor("input_367_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1142_weight_0_to_fp16 = const()[name = tensor("op_1142_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(10454080)))]; + tensor var_1142_bias_0_to_fp16 = const()[name = tensor("op_1142_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11068544)))]; + tensor var_1142_cast_fp16 = conv(bias = var_1142_bias_0_to_fp16, dilations = var_1138, groups = var_8, pad = input_367_pad_0, pad_type = input_367_pad_type_0, strides = var_1136, weight = var_1142_weight_0_to_fp16, x = input_363_cast_fp16)[name = tensor("op_1142_cast_fp16")]; + tensor input_369_cast_fp16 = add(x = input_355_cast_fp16, y = var_1142_cast_fp16)[name = tensor("input_369_cast_fp16")]; + tensor var_1150 = const()[name = tensor("op_1150"), val = tensor([1, 1])]; + tensor var_1152 = const()[name = tensor("op_1152"), val = tensor([1, 1])]; + tensor input_371_pad_type_0 = const()[name = tensor("input_371_pad_type_0"), val = tensor("custom")]; + tensor input_371_pad_0 = const()[name = tensor("input_371_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_5_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_5_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11069248)))]; + tensor original_model_image_encoder_model_network_4_5_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_5_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11075072)))]; + tensor input_371_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_5_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1152, groups = var_17, pad = input_371_pad_0, pad_type = input_371_pad_type_0, strides = var_1150, weight = original_model_image_encoder_model_network_4_5_token_mixer_reparam_conv_weight_to_fp16, x = input_369_cast_fp16)[name = tensor("input_371_cast_fp16")]; + tensor var_1161 = const()[name = tensor("op_1161"), val = tensor([1, 1])]; + tensor var_1163 = const()[name = tensor("op_1163"), val = tensor([1, 1])]; + tensor input_373_pad_type_0 = const()[name = tensor("input_373_pad_type_0"), val = tensor("custom")]; + tensor input_373_pad_0 = const()[name = tensor("input_373_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_375_weight_0_to_fp16 = const()[name = tensor("input_375_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11075776)))]; + tensor input_375_bias_0_to_fp16 = const()[name = tensor("input_375_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11107200)))]; + tensor input_375_cast_fp16 = conv(bias = input_375_bias_0_to_fp16, dilations = var_1163, groups = var_17, pad = input_373_pad_0, pad_type = input_373_pad_type_0, strides = var_1161, weight = input_375_weight_0_to_fp16, x = input_371_cast_fp16)[name = tensor("input_375_cast_fp16")]; + tensor var_1173 = const()[name = tensor("op_1173"), val = tensor([1, 1])]; + tensor var_1175 = const()[name = tensor("op_1175"), val = tensor([1, 1])]; + tensor input_377_pad_type_0 = const()[name = tensor("input_377_pad_type_0"), val = tensor("custom")]; + tensor input_377_pad_0 = const()[name = tensor("input_377_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_5_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_5_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11107904)))]; + tensor original_model_image_encoder_model_network_4_5_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_5_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11722368)))]; + tensor input_377_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_5_convffn_fc1_bias_to_fp16, dilations = var_1175, groups = var_8, pad = input_377_pad_0, pad_type = input_377_pad_type_0, strides = var_1173, weight = original_model_image_encoder_model_network_4_5_convffn_fc1_weight_to_fp16, x = input_375_cast_fp16)[name = tensor("input_377_cast_fp16")]; + tensor input_379_mode_0 = const()[name = tensor("input_379_mode_0"), val = tensor("EXACT")]; + tensor input_379_cast_fp16 = gelu(mode = input_379_mode_0, x = input_377_cast_fp16)[name = tensor("input_379_cast_fp16")]; + tensor var_1182 = const()[name = tensor("op_1182"), val = tensor([1, 1])]; + tensor var_1184 = const()[name = tensor("op_1184"), val = tensor([1, 1])]; + tensor input_383_pad_type_0 = const()[name = tensor("input_383_pad_type_0"), val = tensor("custom")]; + tensor input_383_pad_0 = const()[name = tensor("input_383_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1188_weight_0_to_fp16 = const()[name = tensor("op_1188_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11724352)))]; + tensor var_1188_bias_0_to_fp16 = const()[name = tensor("op_1188_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12338816)))]; + tensor var_1188_cast_fp16 = conv(bias = var_1188_bias_0_to_fp16, dilations = var_1184, groups = var_8, pad = input_383_pad_0, pad_type = input_383_pad_type_0, strides = var_1182, weight = var_1188_weight_0_to_fp16, x = input_379_cast_fp16)[name = tensor("op_1188_cast_fp16")]; + tensor input_385_cast_fp16 = add(x = input_371_cast_fp16, y = var_1188_cast_fp16)[name = tensor("input_385_cast_fp16")]; + tensor var_1196 = const()[name = tensor("op_1196"), val = tensor([1, 1])]; + tensor var_1198 = const()[name = tensor("op_1198"), val = tensor([1, 1])]; + tensor input_387_pad_type_0 = const()[name = tensor("input_387_pad_type_0"), val = tensor("custom")]; + tensor input_387_pad_0 = const()[name = tensor("input_387_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_6_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_6_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12339520)))]; + tensor original_model_image_encoder_model_network_4_6_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_6_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12345344)))]; + tensor input_387_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_6_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1198, groups = var_17, pad = input_387_pad_0, pad_type = input_387_pad_type_0, strides = var_1196, weight = original_model_image_encoder_model_network_4_6_token_mixer_reparam_conv_weight_to_fp16, x = input_385_cast_fp16)[name = tensor("input_387_cast_fp16")]; + tensor var_1207 = const()[name = tensor("op_1207"), val = tensor([1, 1])]; + tensor var_1209 = const()[name = tensor("op_1209"), val = tensor([1, 1])]; + tensor input_389_pad_type_0 = const()[name = tensor("input_389_pad_type_0"), val = tensor("custom")]; + tensor input_389_pad_0 = const()[name = tensor("input_389_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_391_weight_0_to_fp16 = const()[name = tensor("input_391_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12346048)))]; + tensor input_391_bias_0_to_fp16 = const()[name = tensor("input_391_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12377472)))]; + tensor input_391_cast_fp16 = conv(bias = input_391_bias_0_to_fp16, dilations = var_1209, groups = var_17, pad = input_389_pad_0, pad_type = input_389_pad_type_0, strides = var_1207, weight = input_391_weight_0_to_fp16, x = input_387_cast_fp16)[name = tensor("input_391_cast_fp16")]; + tensor var_1219 = const()[name = tensor("op_1219"), val = tensor([1, 1])]; + tensor var_1221 = const()[name = tensor("op_1221"), val = tensor([1, 1])]; + tensor input_393_pad_type_0 = const()[name = tensor("input_393_pad_type_0"), val = tensor("custom")]; + tensor input_393_pad_0 = const()[name = tensor("input_393_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_6_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_6_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12378176)))]; + tensor original_model_image_encoder_model_network_4_6_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_6_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12992640)))]; + tensor input_393_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_6_convffn_fc1_bias_to_fp16, dilations = var_1221, groups = var_8, pad = input_393_pad_0, pad_type = input_393_pad_type_0, strides = var_1219, weight = original_model_image_encoder_model_network_4_6_convffn_fc1_weight_to_fp16, x = input_391_cast_fp16)[name = tensor("input_393_cast_fp16")]; + tensor input_395_mode_0 = const()[name = tensor("input_395_mode_0"), val = tensor("EXACT")]; + tensor input_395_cast_fp16 = gelu(mode = input_395_mode_0, x = input_393_cast_fp16)[name = tensor("input_395_cast_fp16")]; + tensor var_1228 = const()[name = tensor("op_1228"), val = tensor([1, 1])]; + tensor var_1230 = const()[name = tensor("op_1230"), val = tensor([1, 1])]; + tensor input_399_pad_type_0 = const()[name = tensor("input_399_pad_type_0"), val = tensor("custom")]; + tensor input_399_pad_0 = const()[name = tensor("input_399_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1234_weight_0_to_fp16 = const()[name = tensor("op_1234_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(12994624)))]; + tensor var_1234_bias_0_to_fp16 = const()[name = tensor("op_1234_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(13609088)))]; + tensor var_1234_cast_fp16 = conv(bias = var_1234_bias_0_to_fp16, dilations = var_1230, groups = var_8, pad = input_399_pad_0, pad_type = input_399_pad_type_0, strides = var_1228, weight = var_1234_weight_0_to_fp16, x = input_395_cast_fp16)[name = tensor("op_1234_cast_fp16")]; + tensor input_401_cast_fp16 = add(x = input_387_cast_fp16, y = var_1234_cast_fp16)[name = tensor("input_401_cast_fp16")]; + tensor var_1242 = const()[name = tensor("op_1242"), val = tensor([1, 1])]; + tensor var_1244 = const()[name = tensor("op_1244"), val = tensor([1, 1])]; + tensor input_403_pad_type_0 = const()[name = tensor("input_403_pad_type_0"), val = tensor("custom")]; + tensor input_403_pad_0 = const()[name = tensor("input_403_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_7_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_7_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(13609792)))]; + tensor original_model_image_encoder_model_network_4_7_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_7_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(13615616)))]; + tensor input_403_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_7_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1244, groups = var_17, pad = input_403_pad_0, pad_type = input_403_pad_type_0, strides = var_1242, weight = original_model_image_encoder_model_network_4_7_token_mixer_reparam_conv_weight_to_fp16, x = input_401_cast_fp16)[name = tensor("input_403_cast_fp16")]; + tensor var_1253 = const()[name = tensor("op_1253"), val = tensor([1, 1])]; + tensor var_1255 = const()[name = tensor("op_1255"), val = tensor([1, 1])]; + tensor input_405_pad_type_0 = const()[name = tensor("input_405_pad_type_0"), val = tensor("custom")]; + tensor input_405_pad_0 = const()[name = tensor("input_405_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_407_weight_0_to_fp16 = const()[name = tensor("input_407_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(13616320)))]; + tensor input_407_bias_0_to_fp16 = const()[name = tensor("input_407_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(13647744)))]; + tensor input_407_cast_fp16 = conv(bias = input_407_bias_0_to_fp16, dilations = var_1255, groups = var_17, pad = input_405_pad_0, pad_type = input_405_pad_type_0, strides = var_1253, weight = input_407_weight_0_to_fp16, x = input_403_cast_fp16)[name = tensor("input_407_cast_fp16")]; + tensor var_1265 = const()[name = tensor("op_1265"), val = tensor([1, 1])]; + tensor var_1267 = const()[name = tensor("op_1267"), val = tensor([1, 1])]; + tensor input_409_pad_type_0 = const()[name = tensor("input_409_pad_type_0"), val = tensor("custom")]; + tensor input_409_pad_0 = const()[name = tensor("input_409_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_7_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_7_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(13648448)))]; + tensor original_model_image_encoder_model_network_4_7_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_7_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14262912)))]; + tensor input_409_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_7_convffn_fc1_bias_to_fp16, dilations = var_1267, groups = var_8, pad = input_409_pad_0, pad_type = input_409_pad_type_0, strides = var_1265, weight = original_model_image_encoder_model_network_4_7_convffn_fc1_weight_to_fp16, x = input_407_cast_fp16)[name = tensor("input_409_cast_fp16")]; + tensor input_411_mode_0 = const()[name = tensor("input_411_mode_0"), val = tensor("EXACT")]; + tensor input_411_cast_fp16 = gelu(mode = input_411_mode_0, x = input_409_cast_fp16)[name = tensor("input_411_cast_fp16")]; + tensor var_1274 = const()[name = tensor("op_1274"), val = tensor([1, 1])]; + tensor var_1276 = const()[name = tensor("op_1276"), val = tensor([1, 1])]; + tensor input_415_pad_type_0 = const()[name = tensor("input_415_pad_type_0"), val = tensor("custom")]; + tensor input_415_pad_0 = const()[name = tensor("input_415_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1280_weight_0_to_fp16 = const()[name = tensor("op_1280_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14264896)))]; + tensor var_1280_bias_0_to_fp16 = const()[name = tensor("op_1280_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14879360)))]; + tensor var_1280_cast_fp16 = conv(bias = var_1280_bias_0_to_fp16, dilations = var_1276, groups = var_8, pad = input_415_pad_0, pad_type = input_415_pad_type_0, strides = var_1274, weight = var_1280_weight_0_to_fp16, x = input_411_cast_fp16)[name = tensor("op_1280_cast_fp16")]; + tensor input_417_cast_fp16 = add(x = input_403_cast_fp16, y = var_1280_cast_fp16)[name = tensor("input_417_cast_fp16")]; + tensor var_1288 = const()[name = tensor("op_1288"), val = tensor([1, 1])]; + tensor var_1290 = const()[name = tensor("op_1290"), val = tensor([1, 1])]; + tensor input_419_pad_type_0 = const()[name = tensor("input_419_pad_type_0"), val = tensor("custom")]; + tensor input_419_pad_0 = const()[name = tensor("input_419_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_8_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_8_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14880064)))]; + tensor original_model_image_encoder_model_network_4_8_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_8_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14885888)))]; + tensor input_419_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_8_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1290, groups = var_17, pad = input_419_pad_0, pad_type = input_419_pad_type_0, strides = var_1288, weight = original_model_image_encoder_model_network_4_8_token_mixer_reparam_conv_weight_to_fp16, x = input_417_cast_fp16)[name = tensor("input_419_cast_fp16")]; + tensor var_1299 = const()[name = tensor("op_1299"), val = tensor([1, 1])]; + tensor var_1301 = const()[name = tensor("op_1301"), val = tensor([1, 1])]; + tensor input_421_pad_type_0 = const()[name = tensor("input_421_pad_type_0"), val = tensor("custom")]; + tensor input_421_pad_0 = const()[name = tensor("input_421_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_423_weight_0_to_fp16 = const()[name = tensor("input_423_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14886592)))]; + tensor input_423_bias_0_to_fp16 = const()[name = tensor("input_423_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14918016)))]; + tensor input_423_cast_fp16 = conv(bias = input_423_bias_0_to_fp16, dilations = var_1301, groups = var_17, pad = input_421_pad_0, pad_type = input_421_pad_type_0, strides = var_1299, weight = input_423_weight_0_to_fp16, x = input_419_cast_fp16)[name = tensor("input_423_cast_fp16")]; + tensor var_1311 = const()[name = tensor("op_1311"), val = tensor([1, 1])]; + tensor var_1313 = const()[name = tensor("op_1313"), val = tensor([1, 1])]; + tensor input_425_pad_type_0 = const()[name = tensor("input_425_pad_type_0"), val = tensor("custom")]; + tensor input_425_pad_0 = const()[name = tensor("input_425_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_8_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_8_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14918720)))]; + tensor original_model_image_encoder_model_network_4_8_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_8_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(15533184)))]; + tensor input_425_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_8_convffn_fc1_bias_to_fp16, dilations = var_1313, groups = var_8, pad = input_425_pad_0, pad_type = input_425_pad_type_0, strides = var_1311, weight = original_model_image_encoder_model_network_4_8_convffn_fc1_weight_to_fp16, x = input_423_cast_fp16)[name = tensor("input_425_cast_fp16")]; + tensor input_427_mode_0 = const()[name = tensor("input_427_mode_0"), val = tensor("EXACT")]; + tensor input_427_cast_fp16 = gelu(mode = input_427_mode_0, x = input_425_cast_fp16)[name = tensor("input_427_cast_fp16")]; + tensor var_1320 = const()[name = tensor("op_1320"), val = tensor([1, 1])]; + tensor var_1322 = const()[name = tensor("op_1322"), val = tensor([1, 1])]; + tensor input_431_pad_type_0 = const()[name = tensor("input_431_pad_type_0"), val = tensor("custom")]; + tensor input_431_pad_0 = const()[name = tensor("input_431_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1326_weight_0_to_fp16 = const()[name = tensor("op_1326_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(15535168)))]; + tensor var_1326_bias_0_to_fp16 = const()[name = tensor("op_1326_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(16149632)))]; + tensor var_1326_cast_fp16 = conv(bias = var_1326_bias_0_to_fp16, dilations = var_1322, groups = var_8, pad = input_431_pad_0, pad_type = input_431_pad_type_0, strides = var_1320, weight = var_1326_weight_0_to_fp16, x = input_427_cast_fp16)[name = tensor("op_1326_cast_fp16")]; + tensor input_433_cast_fp16 = add(x = input_419_cast_fp16, y = var_1326_cast_fp16)[name = tensor("input_433_cast_fp16")]; + tensor var_1334 = const()[name = tensor("op_1334"), val = tensor([1, 1])]; + tensor var_1336 = const()[name = tensor("op_1336"), val = tensor([1, 1])]; + tensor input_435_pad_type_0 = const()[name = tensor("input_435_pad_type_0"), val = tensor("custom")]; + tensor input_435_pad_0 = const()[name = tensor("input_435_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_9_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_9_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(16150336)))]; + tensor original_model_image_encoder_model_network_4_9_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_9_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(16156160)))]; + tensor input_435_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_9_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1336, groups = var_17, pad = input_435_pad_0, pad_type = input_435_pad_type_0, strides = var_1334, weight = original_model_image_encoder_model_network_4_9_token_mixer_reparam_conv_weight_to_fp16, x = input_433_cast_fp16)[name = tensor("input_435_cast_fp16")]; + tensor var_1345 = const()[name = tensor("op_1345"), val = tensor([1, 1])]; + tensor var_1347 = const()[name = tensor("op_1347"), val = tensor([1, 1])]; + tensor input_437_pad_type_0 = const()[name = tensor("input_437_pad_type_0"), val = tensor("custom")]; + tensor input_437_pad_0 = const()[name = tensor("input_437_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_439_weight_0_to_fp16 = const()[name = tensor("input_439_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(16156864)))]; + tensor input_439_bias_0_to_fp16 = const()[name = tensor("input_439_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(16188288)))]; + tensor input_439_cast_fp16 = conv(bias = input_439_bias_0_to_fp16, dilations = var_1347, groups = var_17, pad = input_437_pad_0, pad_type = input_437_pad_type_0, strides = var_1345, weight = input_439_weight_0_to_fp16, x = input_435_cast_fp16)[name = tensor("input_439_cast_fp16")]; + tensor var_1357 = const()[name = tensor("op_1357"), val = tensor([1, 1])]; + tensor var_1359 = const()[name = tensor("op_1359"), val = tensor([1, 1])]; + tensor input_441_pad_type_0 = const()[name = tensor("input_441_pad_type_0"), val = tensor("custom")]; + tensor input_441_pad_0 = const()[name = tensor("input_441_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_9_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_9_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(16188992)))]; + tensor original_model_image_encoder_model_network_4_9_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_9_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(16803456)))]; + tensor input_441_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_9_convffn_fc1_bias_to_fp16, dilations = var_1359, groups = var_8, pad = input_441_pad_0, pad_type = input_441_pad_type_0, strides = var_1357, weight = original_model_image_encoder_model_network_4_9_convffn_fc1_weight_to_fp16, x = input_439_cast_fp16)[name = tensor("input_441_cast_fp16")]; + tensor input_443_mode_0 = const()[name = tensor("input_443_mode_0"), val = tensor("EXACT")]; + tensor input_443_cast_fp16 = gelu(mode = input_443_mode_0, x = input_441_cast_fp16)[name = tensor("input_443_cast_fp16")]; + tensor var_1366 = const()[name = tensor("op_1366"), val = tensor([1, 1])]; + tensor var_1368 = const()[name = tensor("op_1368"), val = tensor([1, 1])]; + tensor input_447_pad_type_0 = const()[name = tensor("input_447_pad_type_0"), val = tensor("custom")]; + tensor input_447_pad_0 = const()[name = tensor("input_447_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1372_weight_0_to_fp16 = const()[name = tensor("op_1372_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(16805440)))]; + tensor var_1372_bias_0_to_fp16 = const()[name = tensor("op_1372_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(17419904)))]; + tensor var_1372_cast_fp16 = conv(bias = var_1372_bias_0_to_fp16, dilations = var_1368, groups = var_8, pad = input_447_pad_0, pad_type = input_447_pad_type_0, strides = var_1366, weight = var_1372_weight_0_to_fp16, x = input_443_cast_fp16)[name = tensor("op_1372_cast_fp16")]; + tensor input_449_cast_fp16 = add(x = input_435_cast_fp16, y = var_1372_cast_fp16)[name = tensor("input_449_cast_fp16")]; + tensor var_1380 = const()[name = tensor("op_1380"), val = tensor([1, 1])]; + tensor var_1382 = const()[name = tensor("op_1382"), val = tensor([1, 1])]; + tensor input_451_pad_type_0 = const()[name = tensor("input_451_pad_type_0"), val = tensor("custom")]; + tensor input_451_pad_0 = const()[name = tensor("input_451_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_10_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_10_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(17420608)))]; + tensor original_model_image_encoder_model_network_4_10_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_10_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(17426432)))]; + tensor input_451_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_10_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1382, groups = var_17, pad = input_451_pad_0, pad_type = input_451_pad_type_0, strides = var_1380, weight = original_model_image_encoder_model_network_4_10_token_mixer_reparam_conv_weight_to_fp16, x = input_449_cast_fp16)[name = tensor("input_451_cast_fp16")]; + tensor var_1391 = const()[name = tensor("op_1391"), val = tensor([1, 1])]; + tensor var_1393 = const()[name = tensor("op_1393"), val = tensor([1, 1])]; + tensor input_453_pad_type_0 = const()[name = tensor("input_453_pad_type_0"), val = tensor("custom")]; + tensor input_453_pad_0 = const()[name = tensor("input_453_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_455_weight_0_to_fp16 = const()[name = tensor("input_455_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(17427136)))]; + tensor input_455_bias_0_to_fp16 = const()[name = tensor("input_455_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(17458560)))]; + tensor input_455_cast_fp16 = conv(bias = input_455_bias_0_to_fp16, dilations = var_1393, groups = var_17, pad = input_453_pad_0, pad_type = input_453_pad_type_0, strides = var_1391, weight = input_455_weight_0_to_fp16, x = input_451_cast_fp16)[name = tensor("input_455_cast_fp16")]; + tensor var_1403 = const()[name = tensor("op_1403"), val = tensor([1, 1])]; + tensor var_1405 = const()[name = tensor("op_1405"), val = tensor([1, 1])]; + tensor input_457_pad_type_0 = const()[name = tensor("input_457_pad_type_0"), val = tensor("custom")]; + tensor input_457_pad_0 = const()[name = tensor("input_457_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_10_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_10_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(17459264)))]; + tensor original_model_image_encoder_model_network_4_10_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_10_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18073728)))]; + tensor input_457_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_10_convffn_fc1_bias_to_fp16, dilations = var_1405, groups = var_8, pad = input_457_pad_0, pad_type = input_457_pad_type_0, strides = var_1403, weight = original_model_image_encoder_model_network_4_10_convffn_fc1_weight_to_fp16, x = input_455_cast_fp16)[name = tensor("input_457_cast_fp16")]; + tensor input_459_mode_0 = const()[name = tensor("input_459_mode_0"), val = tensor("EXACT")]; + tensor input_459_cast_fp16 = gelu(mode = input_459_mode_0, x = input_457_cast_fp16)[name = tensor("input_459_cast_fp16")]; + tensor var_1412 = const()[name = tensor("op_1412"), val = tensor([1, 1])]; + tensor var_1414 = const()[name = tensor("op_1414"), val = tensor([1, 1])]; + tensor input_463_pad_type_0 = const()[name = tensor("input_463_pad_type_0"), val = tensor("custom")]; + tensor input_463_pad_0 = const()[name = tensor("input_463_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1418_weight_0_to_fp16 = const()[name = tensor("op_1418_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18075712)))]; + tensor var_1418_bias_0_to_fp16 = const()[name = tensor("op_1418_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18690176)))]; + tensor var_1418_cast_fp16 = conv(bias = var_1418_bias_0_to_fp16, dilations = var_1414, groups = var_8, pad = input_463_pad_0, pad_type = input_463_pad_type_0, strides = var_1412, weight = var_1418_weight_0_to_fp16, x = input_459_cast_fp16)[name = tensor("op_1418_cast_fp16")]; + tensor input_465_cast_fp16 = add(x = input_451_cast_fp16, y = var_1418_cast_fp16)[name = tensor("input_465_cast_fp16")]; + tensor var_1426 = const()[name = tensor("op_1426"), val = tensor([1, 1])]; + tensor var_1428 = const()[name = tensor("op_1428"), val = tensor([1, 1])]; + tensor input_467_pad_type_0 = const()[name = tensor("input_467_pad_type_0"), val = tensor("custom")]; + tensor input_467_pad_0 = const()[name = tensor("input_467_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_11_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_11_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18690880)))]; + tensor original_model_image_encoder_model_network_4_11_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_11_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18696704)))]; + tensor input_467_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_11_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1428, groups = var_17, pad = input_467_pad_0, pad_type = input_467_pad_type_0, strides = var_1426, weight = original_model_image_encoder_model_network_4_11_token_mixer_reparam_conv_weight_to_fp16, x = input_465_cast_fp16)[name = tensor("input_467_cast_fp16")]; + tensor var_1437 = const()[name = tensor("op_1437"), val = tensor([1, 1])]; + tensor var_1439 = const()[name = tensor("op_1439"), val = tensor([1, 1])]; + tensor input_469_pad_type_0 = const()[name = tensor("input_469_pad_type_0"), val = tensor("custom")]; + tensor input_469_pad_0 = const()[name = tensor("input_469_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_471_weight_0_to_fp16 = const()[name = tensor("input_471_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18697408)))]; + tensor input_471_bias_0_to_fp16 = const()[name = tensor("input_471_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18728832)))]; + tensor input_471_cast_fp16 = conv(bias = input_471_bias_0_to_fp16, dilations = var_1439, groups = var_17, pad = input_469_pad_0, pad_type = input_469_pad_type_0, strides = var_1437, weight = input_471_weight_0_to_fp16, x = input_467_cast_fp16)[name = tensor("input_471_cast_fp16")]; + tensor var_1449 = const()[name = tensor("op_1449"), val = tensor([1, 1])]; + tensor var_1451 = const()[name = tensor("op_1451"), val = tensor([1, 1])]; + tensor input_473_pad_type_0 = const()[name = tensor("input_473_pad_type_0"), val = tensor("custom")]; + tensor input_473_pad_0 = const()[name = tensor("input_473_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_11_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_11_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(18729536)))]; + tensor original_model_image_encoder_model_network_4_11_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_11_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(19344000)))]; + tensor input_473_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_11_convffn_fc1_bias_to_fp16, dilations = var_1451, groups = var_8, pad = input_473_pad_0, pad_type = input_473_pad_type_0, strides = var_1449, weight = original_model_image_encoder_model_network_4_11_convffn_fc1_weight_to_fp16, x = input_471_cast_fp16)[name = tensor("input_473_cast_fp16")]; + tensor input_475_mode_0 = const()[name = tensor("input_475_mode_0"), val = tensor("EXACT")]; + tensor input_475_cast_fp16 = gelu(mode = input_475_mode_0, x = input_473_cast_fp16)[name = tensor("input_475_cast_fp16")]; + tensor var_1458 = const()[name = tensor("op_1458"), val = tensor([1, 1])]; + tensor var_1460 = const()[name = tensor("op_1460"), val = tensor([1, 1])]; + tensor input_479_pad_type_0 = const()[name = tensor("input_479_pad_type_0"), val = tensor("custom")]; + tensor input_479_pad_0 = const()[name = tensor("input_479_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1464_weight_0_to_fp16 = const()[name = tensor("op_1464_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(19345984)))]; + tensor var_1464_bias_0_to_fp16 = const()[name = tensor("op_1464_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(19960448)))]; + tensor var_1464_cast_fp16 = conv(bias = var_1464_bias_0_to_fp16, dilations = var_1460, groups = var_8, pad = input_479_pad_0, pad_type = input_479_pad_type_0, strides = var_1458, weight = var_1464_weight_0_to_fp16, x = input_475_cast_fp16)[name = tensor("op_1464_cast_fp16")]; + tensor input_481_cast_fp16 = add(x = input_467_cast_fp16, y = var_1464_cast_fp16)[name = tensor("input_481_cast_fp16")]; + tensor var_1472 = const()[name = tensor("op_1472"), val = tensor([1, 1])]; + tensor var_1474 = const()[name = tensor("op_1474"), val = tensor([1, 1])]; + tensor input_483_pad_type_0 = const()[name = tensor("input_483_pad_type_0"), val = tensor("custom")]; + tensor input_483_pad_0 = const()[name = tensor("input_483_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_12_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_12_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(19961152)))]; + tensor original_model_image_encoder_model_network_4_12_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_12_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(19966976)))]; + tensor input_483_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_12_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1474, groups = var_17, pad = input_483_pad_0, pad_type = input_483_pad_type_0, strides = var_1472, weight = original_model_image_encoder_model_network_4_12_token_mixer_reparam_conv_weight_to_fp16, x = input_481_cast_fp16)[name = tensor("input_483_cast_fp16")]; + tensor var_1483 = const()[name = tensor("op_1483"), val = tensor([1, 1])]; + tensor var_1485 = const()[name = tensor("op_1485"), val = tensor([1, 1])]; + tensor input_485_pad_type_0 = const()[name = tensor("input_485_pad_type_0"), val = tensor("custom")]; + tensor input_485_pad_0 = const()[name = tensor("input_485_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_487_weight_0_to_fp16 = const()[name = tensor("input_487_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(19967680)))]; + tensor input_487_bias_0_to_fp16 = const()[name = tensor("input_487_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(19999104)))]; + tensor input_487_cast_fp16 = conv(bias = input_487_bias_0_to_fp16, dilations = var_1485, groups = var_17, pad = input_485_pad_0, pad_type = input_485_pad_type_0, strides = var_1483, weight = input_487_weight_0_to_fp16, x = input_483_cast_fp16)[name = tensor("input_487_cast_fp16")]; + tensor var_1495 = const()[name = tensor("op_1495"), val = tensor([1, 1])]; + tensor var_1497 = const()[name = tensor("op_1497"), val = tensor([1, 1])]; + tensor input_489_pad_type_0 = const()[name = tensor("input_489_pad_type_0"), val = tensor("custom")]; + tensor input_489_pad_0 = const()[name = tensor("input_489_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_12_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_12_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(19999808)))]; + tensor original_model_image_encoder_model_network_4_12_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_12_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(20614272)))]; + tensor input_489_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_12_convffn_fc1_bias_to_fp16, dilations = var_1497, groups = var_8, pad = input_489_pad_0, pad_type = input_489_pad_type_0, strides = var_1495, weight = original_model_image_encoder_model_network_4_12_convffn_fc1_weight_to_fp16, x = input_487_cast_fp16)[name = tensor("input_489_cast_fp16")]; + tensor input_491_mode_0 = const()[name = tensor("input_491_mode_0"), val = tensor("EXACT")]; + tensor input_491_cast_fp16 = gelu(mode = input_491_mode_0, x = input_489_cast_fp16)[name = tensor("input_491_cast_fp16")]; + tensor var_1504 = const()[name = tensor("op_1504"), val = tensor([1, 1])]; + tensor var_1506 = const()[name = tensor("op_1506"), val = tensor([1, 1])]; + tensor input_495_pad_type_0 = const()[name = tensor("input_495_pad_type_0"), val = tensor("custom")]; + tensor input_495_pad_0 = const()[name = tensor("input_495_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1510_weight_0_to_fp16 = const()[name = tensor("op_1510_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(20616256)))]; + tensor var_1510_bias_0_to_fp16 = const()[name = tensor("op_1510_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21230720)))]; + tensor var_1510_cast_fp16 = conv(bias = var_1510_bias_0_to_fp16, dilations = var_1506, groups = var_8, pad = input_495_pad_0, pad_type = input_495_pad_type_0, strides = var_1504, weight = var_1510_weight_0_to_fp16, x = input_491_cast_fp16)[name = tensor("op_1510_cast_fp16")]; + tensor input_497_cast_fp16 = add(x = input_483_cast_fp16, y = var_1510_cast_fp16)[name = tensor("input_497_cast_fp16")]; + tensor var_1518 = const()[name = tensor("op_1518"), val = tensor([1, 1])]; + tensor var_1520 = const()[name = tensor("op_1520"), val = tensor([1, 1])]; + tensor input_499_pad_type_0 = const()[name = tensor("input_499_pad_type_0"), val = tensor("custom")]; + tensor input_499_pad_0 = const()[name = tensor("input_499_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_13_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_13_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21231424)))]; + tensor original_model_image_encoder_model_network_4_13_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_13_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21237248)))]; + tensor input_499_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_13_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1520, groups = var_17, pad = input_499_pad_0, pad_type = input_499_pad_type_0, strides = var_1518, weight = original_model_image_encoder_model_network_4_13_token_mixer_reparam_conv_weight_to_fp16, x = input_497_cast_fp16)[name = tensor("input_499_cast_fp16")]; + tensor var_1529 = const()[name = tensor("op_1529"), val = tensor([1, 1])]; + tensor var_1531 = const()[name = tensor("op_1531"), val = tensor([1, 1])]; + tensor input_501_pad_type_0 = const()[name = tensor("input_501_pad_type_0"), val = tensor("custom")]; + tensor input_501_pad_0 = const()[name = tensor("input_501_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_503_weight_0_to_fp16 = const()[name = tensor("input_503_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21237952)))]; + tensor input_503_bias_0_to_fp16 = const()[name = tensor("input_503_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21269376)))]; + tensor input_503_cast_fp16 = conv(bias = input_503_bias_0_to_fp16, dilations = var_1531, groups = var_17, pad = input_501_pad_0, pad_type = input_501_pad_type_0, strides = var_1529, weight = input_503_weight_0_to_fp16, x = input_499_cast_fp16)[name = tensor("input_503_cast_fp16")]; + tensor var_1541 = const()[name = tensor("op_1541"), val = tensor([1, 1])]; + tensor var_1543 = const()[name = tensor("op_1543"), val = tensor([1, 1])]; + tensor input_505_pad_type_0 = const()[name = tensor("input_505_pad_type_0"), val = tensor("custom")]; + tensor input_505_pad_0 = const()[name = tensor("input_505_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_13_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_13_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21270080)))]; + tensor original_model_image_encoder_model_network_4_13_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_13_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21884544)))]; + tensor input_505_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_13_convffn_fc1_bias_to_fp16, dilations = var_1543, groups = var_8, pad = input_505_pad_0, pad_type = input_505_pad_type_0, strides = var_1541, weight = original_model_image_encoder_model_network_4_13_convffn_fc1_weight_to_fp16, x = input_503_cast_fp16)[name = tensor("input_505_cast_fp16")]; + tensor input_507_mode_0 = const()[name = tensor("input_507_mode_0"), val = tensor("EXACT")]; + tensor input_507_cast_fp16 = gelu(mode = input_507_mode_0, x = input_505_cast_fp16)[name = tensor("input_507_cast_fp16")]; + tensor var_1550 = const()[name = tensor("op_1550"), val = tensor([1, 1])]; + tensor var_1552 = const()[name = tensor("op_1552"), val = tensor([1, 1])]; + tensor input_511_pad_type_0 = const()[name = tensor("input_511_pad_type_0"), val = tensor("custom")]; + tensor input_511_pad_0 = const()[name = tensor("input_511_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1556_weight_0_to_fp16 = const()[name = tensor("op_1556_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(21886528)))]; + tensor var_1556_bias_0_to_fp16 = const()[name = tensor("op_1556_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22500992)))]; + tensor var_1556_cast_fp16 = conv(bias = var_1556_bias_0_to_fp16, dilations = var_1552, groups = var_8, pad = input_511_pad_0, pad_type = input_511_pad_type_0, strides = var_1550, weight = var_1556_weight_0_to_fp16, x = input_507_cast_fp16)[name = tensor("op_1556_cast_fp16")]; + tensor input_513_cast_fp16 = add(x = input_499_cast_fp16, y = var_1556_cast_fp16)[name = tensor("input_513_cast_fp16")]; + tensor var_1564 = const()[name = tensor("op_1564"), val = tensor([1, 1])]; + tensor var_1566 = const()[name = tensor("op_1566"), val = tensor([1, 1])]; + tensor input_515_pad_type_0 = const()[name = tensor("input_515_pad_type_0"), val = tensor("custom")]; + tensor input_515_pad_0 = const()[name = tensor("input_515_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_14_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_14_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22501696)))]; + tensor original_model_image_encoder_model_network_4_14_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_14_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22507520)))]; + tensor input_515_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_14_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1566, groups = var_17, pad = input_515_pad_0, pad_type = input_515_pad_type_0, strides = var_1564, weight = original_model_image_encoder_model_network_4_14_token_mixer_reparam_conv_weight_to_fp16, x = input_513_cast_fp16)[name = tensor("input_515_cast_fp16")]; + tensor var_1575 = const()[name = tensor("op_1575"), val = tensor([1, 1])]; + tensor var_1577 = const()[name = tensor("op_1577"), val = tensor([1, 1])]; + tensor input_517_pad_type_0 = const()[name = tensor("input_517_pad_type_0"), val = tensor("custom")]; + tensor input_517_pad_0 = const()[name = tensor("input_517_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_519_weight_0_to_fp16 = const()[name = tensor("input_519_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22508224)))]; + tensor input_519_bias_0_to_fp16 = const()[name = tensor("input_519_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22539648)))]; + tensor input_519_cast_fp16 = conv(bias = input_519_bias_0_to_fp16, dilations = var_1577, groups = var_17, pad = input_517_pad_0, pad_type = input_517_pad_type_0, strides = var_1575, weight = input_519_weight_0_to_fp16, x = input_515_cast_fp16)[name = tensor("input_519_cast_fp16")]; + tensor var_1587 = const()[name = tensor("op_1587"), val = tensor([1, 1])]; + tensor var_1589 = const()[name = tensor("op_1589"), val = tensor([1, 1])]; + tensor input_521_pad_type_0 = const()[name = tensor("input_521_pad_type_0"), val = tensor("custom")]; + tensor input_521_pad_0 = const()[name = tensor("input_521_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_14_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_14_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(22540352)))]; + tensor original_model_image_encoder_model_network_4_14_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_14_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(23154816)))]; + tensor input_521_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_14_convffn_fc1_bias_to_fp16, dilations = var_1589, groups = var_8, pad = input_521_pad_0, pad_type = input_521_pad_type_0, strides = var_1587, weight = original_model_image_encoder_model_network_4_14_convffn_fc1_weight_to_fp16, x = input_519_cast_fp16)[name = tensor("input_521_cast_fp16")]; + tensor input_523_mode_0 = const()[name = tensor("input_523_mode_0"), val = tensor("EXACT")]; + tensor input_523_cast_fp16 = gelu(mode = input_523_mode_0, x = input_521_cast_fp16)[name = tensor("input_523_cast_fp16")]; + tensor var_1596 = const()[name = tensor("op_1596"), val = tensor([1, 1])]; + tensor var_1598 = const()[name = tensor("op_1598"), val = tensor([1, 1])]; + tensor input_527_pad_type_0 = const()[name = tensor("input_527_pad_type_0"), val = tensor("custom")]; + tensor input_527_pad_0 = const()[name = tensor("input_527_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1602_weight_0_to_fp16 = const()[name = tensor("op_1602_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(23156800)))]; + tensor var_1602_bias_0_to_fp16 = const()[name = tensor("op_1602_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(23771264)))]; + tensor var_1602_cast_fp16 = conv(bias = var_1602_bias_0_to_fp16, dilations = var_1598, groups = var_8, pad = input_527_pad_0, pad_type = input_527_pad_type_0, strides = var_1596, weight = var_1602_weight_0_to_fp16, x = input_523_cast_fp16)[name = tensor("op_1602_cast_fp16")]; + tensor input_529_cast_fp16 = add(x = input_515_cast_fp16, y = var_1602_cast_fp16)[name = tensor("input_529_cast_fp16")]; + tensor var_1610 = const()[name = tensor("op_1610"), val = tensor([1, 1])]; + tensor var_1612 = const()[name = tensor("op_1612"), val = tensor([1, 1])]; + tensor input_531_pad_type_0 = const()[name = tensor("input_531_pad_type_0"), val = tensor("custom")]; + tensor input_531_pad_0 = const()[name = tensor("input_531_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_15_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_15_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(23771968)))]; + tensor original_model_image_encoder_model_network_4_15_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_15_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(23777792)))]; + tensor input_531_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_15_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1612, groups = var_17, pad = input_531_pad_0, pad_type = input_531_pad_type_0, strides = var_1610, weight = original_model_image_encoder_model_network_4_15_token_mixer_reparam_conv_weight_to_fp16, x = input_529_cast_fp16)[name = tensor("input_531_cast_fp16")]; + tensor var_1621 = const()[name = tensor("op_1621"), val = tensor([1, 1])]; + tensor var_1623 = const()[name = tensor("op_1623"), val = tensor([1, 1])]; + tensor input_533_pad_type_0 = const()[name = tensor("input_533_pad_type_0"), val = tensor("custom")]; + tensor input_533_pad_0 = const()[name = tensor("input_533_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_535_weight_0_to_fp16 = const()[name = tensor("input_535_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(23778496)))]; + tensor input_535_bias_0_to_fp16 = const()[name = tensor("input_535_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(23809920)))]; + tensor input_535_cast_fp16 = conv(bias = input_535_bias_0_to_fp16, dilations = var_1623, groups = var_17, pad = input_533_pad_0, pad_type = input_533_pad_type_0, strides = var_1621, weight = input_535_weight_0_to_fp16, x = input_531_cast_fp16)[name = tensor("input_535_cast_fp16")]; + tensor var_1633 = const()[name = tensor("op_1633"), val = tensor([1, 1])]; + tensor var_1635 = const()[name = tensor("op_1635"), val = tensor([1, 1])]; + tensor input_537_pad_type_0 = const()[name = tensor("input_537_pad_type_0"), val = tensor("custom")]; + tensor input_537_pad_0 = const()[name = tensor("input_537_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_15_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_15_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(23810624)))]; + tensor original_model_image_encoder_model_network_4_15_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_15_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(24425088)))]; + tensor input_537_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_15_convffn_fc1_bias_to_fp16, dilations = var_1635, groups = var_8, pad = input_537_pad_0, pad_type = input_537_pad_type_0, strides = var_1633, weight = original_model_image_encoder_model_network_4_15_convffn_fc1_weight_to_fp16, x = input_535_cast_fp16)[name = tensor("input_537_cast_fp16")]; + tensor input_539_mode_0 = const()[name = tensor("input_539_mode_0"), val = tensor("EXACT")]; + tensor input_539_cast_fp16 = gelu(mode = input_539_mode_0, x = input_537_cast_fp16)[name = tensor("input_539_cast_fp16")]; + tensor var_1642 = const()[name = tensor("op_1642"), val = tensor([1, 1])]; + tensor var_1644 = const()[name = tensor("op_1644"), val = tensor([1, 1])]; + tensor input_543_pad_type_0 = const()[name = tensor("input_543_pad_type_0"), val = tensor("custom")]; + tensor input_543_pad_0 = const()[name = tensor("input_543_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1648_weight_0_to_fp16 = const()[name = tensor("op_1648_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(24427072)))]; + tensor var_1648_bias_0_to_fp16 = const()[name = tensor("op_1648_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25041536)))]; + tensor var_1648_cast_fp16 = conv(bias = var_1648_bias_0_to_fp16, dilations = var_1644, groups = var_8, pad = input_543_pad_0, pad_type = input_543_pad_type_0, strides = var_1642, weight = var_1648_weight_0_to_fp16, x = input_539_cast_fp16)[name = tensor("op_1648_cast_fp16")]; + tensor input_545_cast_fp16 = add(x = input_531_cast_fp16, y = var_1648_cast_fp16)[name = tensor("input_545_cast_fp16")]; + tensor var_1656 = const()[name = tensor("op_1656"), val = tensor([1, 1])]; + tensor var_1658 = const()[name = tensor("op_1658"), val = tensor([1, 1])]; + tensor input_547_pad_type_0 = const()[name = tensor("input_547_pad_type_0"), val = tensor("custom")]; + tensor input_547_pad_0 = const()[name = tensor("input_547_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_16_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_16_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25042240)))]; + tensor original_model_image_encoder_model_network_4_16_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_16_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25048064)))]; + tensor input_547_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_16_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1658, groups = var_17, pad = input_547_pad_0, pad_type = input_547_pad_type_0, strides = var_1656, weight = original_model_image_encoder_model_network_4_16_token_mixer_reparam_conv_weight_to_fp16, x = input_545_cast_fp16)[name = tensor("input_547_cast_fp16")]; + tensor var_1667 = const()[name = tensor("op_1667"), val = tensor([1, 1])]; + tensor var_1669 = const()[name = tensor("op_1669"), val = tensor([1, 1])]; + tensor input_549_pad_type_0 = const()[name = tensor("input_549_pad_type_0"), val = tensor("custom")]; + tensor input_549_pad_0 = const()[name = tensor("input_549_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_551_weight_0_to_fp16 = const()[name = tensor("input_551_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25048768)))]; + tensor input_551_bias_0_to_fp16 = const()[name = tensor("input_551_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25080192)))]; + tensor input_551_cast_fp16 = conv(bias = input_551_bias_0_to_fp16, dilations = var_1669, groups = var_17, pad = input_549_pad_0, pad_type = input_549_pad_type_0, strides = var_1667, weight = input_551_weight_0_to_fp16, x = input_547_cast_fp16)[name = tensor("input_551_cast_fp16")]; + tensor var_1679 = const()[name = tensor("op_1679"), val = tensor([1, 1])]; + tensor var_1681 = const()[name = tensor("op_1681"), val = tensor([1, 1])]; + tensor input_553_pad_type_0 = const()[name = tensor("input_553_pad_type_0"), val = tensor("custom")]; + tensor input_553_pad_0 = const()[name = tensor("input_553_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_16_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_16_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25080896)))]; + tensor original_model_image_encoder_model_network_4_16_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_16_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25695360)))]; + tensor input_553_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_16_convffn_fc1_bias_to_fp16, dilations = var_1681, groups = var_8, pad = input_553_pad_0, pad_type = input_553_pad_type_0, strides = var_1679, weight = original_model_image_encoder_model_network_4_16_convffn_fc1_weight_to_fp16, x = input_551_cast_fp16)[name = tensor("input_553_cast_fp16")]; + tensor input_555_mode_0 = const()[name = tensor("input_555_mode_0"), val = tensor("EXACT")]; + tensor input_555_cast_fp16 = gelu(mode = input_555_mode_0, x = input_553_cast_fp16)[name = tensor("input_555_cast_fp16")]; + tensor var_1688 = const()[name = tensor("op_1688"), val = tensor([1, 1])]; + tensor var_1690 = const()[name = tensor("op_1690"), val = tensor([1, 1])]; + tensor input_559_pad_type_0 = const()[name = tensor("input_559_pad_type_0"), val = tensor("custom")]; + tensor input_559_pad_0 = const()[name = tensor("input_559_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1694_weight_0_to_fp16 = const()[name = tensor("op_1694_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(25697344)))]; + tensor var_1694_bias_0_to_fp16 = const()[name = tensor("op_1694_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(26311808)))]; + tensor var_1694_cast_fp16 = conv(bias = var_1694_bias_0_to_fp16, dilations = var_1690, groups = var_8, pad = input_559_pad_0, pad_type = input_559_pad_type_0, strides = var_1688, weight = var_1694_weight_0_to_fp16, x = input_555_cast_fp16)[name = tensor("op_1694_cast_fp16")]; + tensor input_561_cast_fp16 = add(x = input_547_cast_fp16, y = var_1694_cast_fp16)[name = tensor("input_561_cast_fp16")]; + tensor var_1702 = const()[name = tensor("op_1702"), val = tensor([1, 1])]; + tensor var_1704 = const()[name = tensor("op_1704"), val = tensor([1, 1])]; + tensor input_563_pad_type_0 = const()[name = tensor("input_563_pad_type_0"), val = tensor("custom")]; + tensor input_563_pad_0 = const()[name = tensor("input_563_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_17_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_17_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(26312512)))]; + tensor original_model_image_encoder_model_network_4_17_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_17_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(26318336)))]; + tensor input_563_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_17_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1704, groups = var_17, pad = input_563_pad_0, pad_type = input_563_pad_type_0, strides = var_1702, weight = original_model_image_encoder_model_network_4_17_token_mixer_reparam_conv_weight_to_fp16, x = input_561_cast_fp16)[name = tensor("input_563_cast_fp16")]; + tensor var_1713 = const()[name = tensor("op_1713"), val = tensor([1, 1])]; + tensor var_1715 = const()[name = tensor("op_1715"), val = tensor([1, 1])]; + tensor input_565_pad_type_0 = const()[name = tensor("input_565_pad_type_0"), val = tensor("custom")]; + tensor input_565_pad_0 = const()[name = tensor("input_565_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_567_weight_0_to_fp16 = const()[name = tensor("input_567_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(26319040)))]; + tensor input_567_bias_0_to_fp16 = const()[name = tensor("input_567_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(26350464)))]; + tensor input_567_cast_fp16 = conv(bias = input_567_bias_0_to_fp16, dilations = var_1715, groups = var_17, pad = input_565_pad_0, pad_type = input_565_pad_type_0, strides = var_1713, weight = input_567_weight_0_to_fp16, x = input_563_cast_fp16)[name = tensor("input_567_cast_fp16")]; + tensor var_1725 = const()[name = tensor("op_1725"), val = tensor([1, 1])]; + tensor var_1727 = const()[name = tensor("op_1727"), val = tensor([1, 1])]; + tensor input_569_pad_type_0 = const()[name = tensor("input_569_pad_type_0"), val = tensor("custom")]; + tensor input_569_pad_0 = const()[name = tensor("input_569_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_17_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_17_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(26351168)))]; + tensor original_model_image_encoder_model_network_4_17_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_17_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(26965632)))]; + tensor input_569_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_17_convffn_fc1_bias_to_fp16, dilations = var_1727, groups = var_8, pad = input_569_pad_0, pad_type = input_569_pad_type_0, strides = var_1725, weight = original_model_image_encoder_model_network_4_17_convffn_fc1_weight_to_fp16, x = input_567_cast_fp16)[name = tensor("input_569_cast_fp16")]; + tensor input_571_mode_0 = const()[name = tensor("input_571_mode_0"), val = tensor("EXACT")]; + tensor input_571_cast_fp16 = gelu(mode = input_571_mode_0, x = input_569_cast_fp16)[name = tensor("input_571_cast_fp16")]; + tensor var_1734 = const()[name = tensor("op_1734"), val = tensor([1, 1])]; + tensor var_1736 = const()[name = tensor("op_1736"), val = tensor([1, 1])]; + tensor input_575_pad_type_0 = const()[name = tensor("input_575_pad_type_0"), val = tensor("custom")]; + tensor input_575_pad_0 = const()[name = tensor("input_575_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1740_weight_0_to_fp16 = const()[name = tensor("op_1740_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(26967616)))]; + tensor var_1740_bias_0_to_fp16 = const()[name = tensor("op_1740_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(27582080)))]; + tensor var_1740_cast_fp16 = conv(bias = var_1740_bias_0_to_fp16, dilations = var_1736, groups = var_8, pad = input_575_pad_0, pad_type = input_575_pad_type_0, strides = var_1734, weight = var_1740_weight_0_to_fp16, x = input_571_cast_fp16)[name = tensor("op_1740_cast_fp16")]; + tensor input_577_cast_fp16 = add(x = input_563_cast_fp16, y = var_1740_cast_fp16)[name = tensor("input_577_cast_fp16")]; + tensor var_1748 = const()[name = tensor("op_1748"), val = tensor([1, 1])]; + tensor var_1750 = const()[name = tensor("op_1750"), val = tensor([1, 1])]; + tensor input_579_pad_type_0 = const()[name = tensor("input_579_pad_type_0"), val = tensor("custom")]; + tensor input_579_pad_0 = const()[name = tensor("input_579_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_18_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_18_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(27582784)))]; + tensor original_model_image_encoder_model_network_4_18_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_18_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(27588608)))]; + tensor input_579_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_18_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1750, groups = var_17, pad = input_579_pad_0, pad_type = input_579_pad_type_0, strides = var_1748, weight = original_model_image_encoder_model_network_4_18_token_mixer_reparam_conv_weight_to_fp16, x = input_577_cast_fp16)[name = tensor("input_579_cast_fp16")]; + tensor var_1759 = const()[name = tensor("op_1759"), val = tensor([1, 1])]; + tensor var_1761 = const()[name = tensor("op_1761"), val = tensor([1, 1])]; + tensor input_581_pad_type_0 = const()[name = tensor("input_581_pad_type_0"), val = tensor("custom")]; + tensor input_581_pad_0 = const()[name = tensor("input_581_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_583_weight_0_to_fp16 = const()[name = tensor("input_583_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(27589312)))]; + tensor input_583_bias_0_to_fp16 = const()[name = tensor("input_583_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(27620736)))]; + tensor input_583_cast_fp16 = conv(bias = input_583_bias_0_to_fp16, dilations = var_1761, groups = var_17, pad = input_581_pad_0, pad_type = input_581_pad_type_0, strides = var_1759, weight = input_583_weight_0_to_fp16, x = input_579_cast_fp16)[name = tensor("input_583_cast_fp16")]; + tensor var_1771 = const()[name = tensor("op_1771"), val = tensor([1, 1])]; + tensor var_1773 = const()[name = tensor("op_1773"), val = tensor([1, 1])]; + tensor input_585_pad_type_0 = const()[name = tensor("input_585_pad_type_0"), val = tensor("custom")]; + tensor input_585_pad_0 = const()[name = tensor("input_585_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_18_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_18_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(27621440)))]; + tensor original_model_image_encoder_model_network_4_18_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_18_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(28235904)))]; + tensor input_585_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_18_convffn_fc1_bias_to_fp16, dilations = var_1773, groups = var_8, pad = input_585_pad_0, pad_type = input_585_pad_type_0, strides = var_1771, weight = original_model_image_encoder_model_network_4_18_convffn_fc1_weight_to_fp16, x = input_583_cast_fp16)[name = tensor("input_585_cast_fp16")]; + tensor input_587_mode_0 = const()[name = tensor("input_587_mode_0"), val = tensor("EXACT")]; + tensor input_587_cast_fp16 = gelu(mode = input_587_mode_0, x = input_585_cast_fp16)[name = tensor("input_587_cast_fp16")]; + tensor var_1780 = const()[name = tensor("op_1780"), val = tensor([1, 1])]; + tensor var_1782 = const()[name = tensor("op_1782"), val = tensor([1, 1])]; + tensor input_591_pad_type_0 = const()[name = tensor("input_591_pad_type_0"), val = tensor("custom")]; + tensor input_591_pad_0 = const()[name = tensor("input_591_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1786_weight_0_to_fp16 = const()[name = tensor("op_1786_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(28237888)))]; + tensor var_1786_bias_0_to_fp16 = const()[name = tensor("op_1786_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(28852352)))]; + tensor var_1786_cast_fp16 = conv(bias = var_1786_bias_0_to_fp16, dilations = var_1782, groups = var_8, pad = input_591_pad_0, pad_type = input_591_pad_type_0, strides = var_1780, weight = var_1786_weight_0_to_fp16, x = input_587_cast_fp16)[name = tensor("op_1786_cast_fp16")]; + tensor input_593_cast_fp16 = add(x = input_579_cast_fp16, y = var_1786_cast_fp16)[name = tensor("input_593_cast_fp16")]; + tensor var_1794 = const()[name = tensor("op_1794"), val = tensor([1, 1])]; + tensor var_1796 = const()[name = tensor("op_1796"), val = tensor([1, 1])]; + tensor input_595_pad_type_0 = const()[name = tensor("input_595_pad_type_0"), val = tensor("custom")]; + tensor input_595_pad_0 = const()[name = tensor("input_595_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_19_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_19_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(28853056)))]; + tensor original_model_image_encoder_model_network_4_19_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_19_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(28858880)))]; + tensor input_595_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_19_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1796, groups = var_17, pad = input_595_pad_0, pad_type = input_595_pad_type_0, strides = var_1794, weight = original_model_image_encoder_model_network_4_19_token_mixer_reparam_conv_weight_to_fp16, x = input_593_cast_fp16)[name = tensor("input_595_cast_fp16")]; + tensor var_1805 = const()[name = tensor("op_1805"), val = tensor([1, 1])]; + tensor var_1807 = const()[name = tensor("op_1807"), val = tensor([1, 1])]; + tensor input_597_pad_type_0 = const()[name = tensor("input_597_pad_type_0"), val = tensor("custom")]; + tensor input_597_pad_0 = const()[name = tensor("input_597_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_599_weight_0_to_fp16 = const()[name = tensor("input_599_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(28859584)))]; + tensor input_599_bias_0_to_fp16 = const()[name = tensor("input_599_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(28891008)))]; + tensor input_599_cast_fp16 = conv(bias = input_599_bias_0_to_fp16, dilations = var_1807, groups = var_17, pad = input_597_pad_0, pad_type = input_597_pad_type_0, strides = var_1805, weight = input_599_weight_0_to_fp16, x = input_595_cast_fp16)[name = tensor("input_599_cast_fp16")]; + tensor var_1817 = const()[name = tensor("op_1817"), val = tensor([1, 1])]; + tensor var_1819 = const()[name = tensor("op_1819"), val = tensor([1, 1])]; + tensor input_601_pad_type_0 = const()[name = tensor("input_601_pad_type_0"), val = tensor("custom")]; + tensor input_601_pad_0 = const()[name = tensor("input_601_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_19_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_19_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(28891712)))]; + tensor original_model_image_encoder_model_network_4_19_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_19_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(29506176)))]; + tensor input_601_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_19_convffn_fc1_bias_to_fp16, dilations = var_1819, groups = var_8, pad = input_601_pad_0, pad_type = input_601_pad_type_0, strides = var_1817, weight = original_model_image_encoder_model_network_4_19_convffn_fc1_weight_to_fp16, x = input_599_cast_fp16)[name = tensor("input_601_cast_fp16")]; + tensor input_603_mode_0 = const()[name = tensor("input_603_mode_0"), val = tensor("EXACT")]; + tensor input_603_cast_fp16 = gelu(mode = input_603_mode_0, x = input_601_cast_fp16)[name = tensor("input_603_cast_fp16")]; + tensor var_1826 = const()[name = tensor("op_1826"), val = tensor([1, 1])]; + tensor var_1828 = const()[name = tensor("op_1828"), val = tensor([1, 1])]; + tensor input_607_pad_type_0 = const()[name = tensor("input_607_pad_type_0"), val = tensor("custom")]; + tensor input_607_pad_0 = const()[name = tensor("input_607_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1832_weight_0_to_fp16 = const()[name = tensor("op_1832_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(29508160)))]; + tensor var_1832_bias_0_to_fp16 = const()[name = tensor("op_1832_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30122624)))]; + tensor var_1832_cast_fp16 = conv(bias = var_1832_bias_0_to_fp16, dilations = var_1828, groups = var_8, pad = input_607_pad_0, pad_type = input_607_pad_type_0, strides = var_1826, weight = var_1832_weight_0_to_fp16, x = input_603_cast_fp16)[name = tensor("op_1832_cast_fp16")]; + tensor input_609_cast_fp16 = add(x = input_595_cast_fp16, y = var_1832_cast_fp16)[name = tensor("input_609_cast_fp16")]; + tensor var_1840 = const()[name = tensor("op_1840"), val = tensor([1, 1])]; + tensor var_1842 = const()[name = tensor("op_1842"), val = tensor([1, 1])]; + tensor input_611_pad_type_0 = const()[name = tensor("input_611_pad_type_0"), val = tensor("custom")]; + tensor input_611_pad_0 = const()[name = tensor("input_611_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_20_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_20_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30123328)))]; + tensor original_model_image_encoder_model_network_4_20_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_20_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30129152)))]; + tensor input_611_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_20_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1842, groups = var_17, pad = input_611_pad_0, pad_type = input_611_pad_type_0, strides = var_1840, weight = original_model_image_encoder_model_network_4_20_token_mixer_reparam_conv_weight_to_fp16, x = input_609_cast_fp16)[name = tensor("input_611_cast_fp16")]; + tensor var_1851 = const()[name = tensor("op_1851"), val = tensor([1, 1])]; + tensor var_1853 = const()[name = tensor("op_1853"), val = tensor([1, 1])]; + tensor input_613_pad_type_0 = const()[name = tensor("input_613_pad_type_0"), val = tensor("custom")]; + tensor input_613_pad_0 = const()[name = tensor("input_613_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_615_weight_0_to_fp16 = const()[name = tensor("input_615_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30129856)))]; + tensor input_615_bias_0_to_fp16 = const()[name = tensor("input_615_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30161280)))]; + tensor input_615_cast_fp16 = conv(bias = input_615_bias_0_to_fp16, dilations = var_1853, groups = var_17, pad = input_613_pad_0, pad_type = input_613_pad_type_0, strides = var_1851, weight = input_615_weight_0_to_fp16, x = input_611_cast_fp16)[name = tensor("input_615_cast_fp16")]; + tensor var_1863 = const()[name = tensor("op_1863"), val = tensor([1, 1])]; + tensor var_1865 = const()[name = tensor("op_1865"), val = tensor([1, 1])]; + tensor input_617_pad_type_0 = const()[name = tensor("input_617_pad_type_0"), val = tensor("custom")]; + tensor input_617_pad_0 = const()[name = tensor("input_617_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_20_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_20_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30161984)))]; + tensor original_model_image_encoder_model_network_4_20_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_20_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30776448)))]; + tensor input_617_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_20_convffn_fc1_bias_to_fp16, dilations = var_1865, groups = var_8, pad = input_617_pad_0, pad_type = input_617_pad_type_0, strides = var_1863, weight = original_model_image_encoder_model_network_4_20_convffn_fc1_weight_to_fp16, x = input_615_cast_fp16)[name = tensor("input_617_cast_fp16")]; + tensor input_619_mode_0 = const()[name = tensor("input_619_mode_0"), val = tensor("EXACT")]; + tensor input_619_cast_fp16 = gelu(mode = input_619_mode_0, x = input_617_cast_fp16)[name = tensor("input_619_cast_fp16")]; + tensor var_1872 = const()[name = tensor("op_1872"), val = tensor([1, 1])]; + tensor var_1874 = const()[name = tensor("op_1874"), val = tensor([1, 1])]; + tensor input_623_pad_type_0 = const()[name = tensor("input_623_pad_type_0"), val = tensor("custom")]; + tensor input_623_pad_0 = const()[name = tensor("input_623_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1878_weight_0_to_fp16 = const()[name = tensor("op_1878_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30778432)))]; + tensor var_1878_bias_0_to_fp16 = const()[name = tensor("op_1878_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(31392896)))]; + tensor var_1878_cast_fp16 = conv(bias = var_1878_bias_0_to_fp16, dilations = var_1874, groups = var_8, pad = input_623_pad_0, pad_type = input_623_pad_type_0, strides = var_1872, weight = var_1878_weight_0_to_fp16, x = input_619_cast_fp16)[name = tensor("op_1878_cast_fp16")]; + tensor input_625_cast_fp16 = add(x = input_611_cast_fp16, y = var_1878_cast_fp16)[name = tensor("input_625_cast_fp16")]; + tensor var_1886 = const()[name = tensor("op_1886"), val = tensor([1, 1])]; + tensor var_1888 = const()[name = tensor("op_1888"), val = tensor([1, 1])]; + tensor input_627_pad_type_0 = const()[name = tensor("input_627_pad_type_0"), val = tensor("custom")]; + tensor input_627_pad_0 = const()[name = tensor("input_627_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_21_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_21_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(31393600)))]; + tensor original_model_image_encoder_model_network_4_21_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_21_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(31399424)))]; + tensor input_627_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_21_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1888, groups = var_17, pad = input_627_pad_0, pad_type = input_627_pad_type_0, strides = var_1886, weight = original_model_image_encoder_model_network_4_21_token_mixer_reparam_conv_weight_to_fp16, x = input_625_cast_fp16)[name = tensor("input_627_cast_fp16")]; + tensor var_1897 = const()[name = tensor("op_1897"), val = tensor([1, 1])]; + tensor var_1899 = const()[name = tensor("op_1899"), val = tensor([1, 1])]; + tensor input_629_pad_type_0 = const()[name = tensor("input_629_pad_type_0"), val = tensor("custom")]; + tensor input_629_pad_0 = const()[name = tensor("input_629_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_631_weight_0_to_fp16 = const()[name = tensor("input_631_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(31400128)))]; + tensor input_631_bias_0_to_fp16 = const()[name = tensor("input_631_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(31431552)))]; + tensor input_631_cast_fp16 = conv(bias = input_631_bias_0_to_fp16, dilations = var_1899, groups = var_17, pad = input_629_pad_0, pad_type = input_629_pad_type_0, strides = var_1897, weight = input_631_weight_0_to_fp16, x = input_627_cast_fp16)[name = tensor("input_631_cast_fp16")]; + tensor var_1909 = const()[name = tensor("op_1909"), val = tensor([1, 1])]; + tensor var_1911 = const()[name = tensor("op_1911"), val = tensor([1, 1])]; + tensor input_633_pad_type_0 = const()[name = tensor("input_633_pad_type_0"), val = tensor("custom")]; + tensor input_633_pad_0 = const()[name = tensor("input_633_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_21_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_21_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(31432256)))]; + tensor original_model_image_encoder_model_network_4_21_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_21_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(32046720)))]; + tensor input_633_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_21_convffn_fc1_bias_to_fp16, dilations = var_1911, groups = var_8, pad = input_633_pad_0, pad_type = input_633_pad_type_0, strides = var_1909, weight = original_model_image_encoder_model_network_4_21_convffn_fc1_weight_to_fp16, x = input_631_cast_fp16)[name = tensor("input_633_cast_fp16")]; + tensor input_635_mode_0 = const()[name = tensor("input_635_mode_0"), val = tensor("EXACT")]; + tensor input_635_cast_fp16 = gelu(mode = input_635_mode_0, x = input_633_cast_fp16)[name = tensor("input_635_cast_fp16")]; + tensor var_1918 = const()[name = tensor("op_1918"), val = tensor([1, 1])]; + tensor var_1920 = const()[name = tensor("op_1920"), val = tensor([1, 1])]; + tensor input_639_pad_type_0 = const()[name = tensor("input_639_pad_type_0"), val = tensor("custom")]; + tensor input_639_pad_0 = const()[name = tensor("input_639_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1924_weight_0_to_fp16 = const()[name = tensor("op_1924_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(32048704)))]; + tensor var_1924_bias_0_to_fp16 = const()[name = tensor("op_1924_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(32663168)))]; + tensor var_1924_cast_fp16 = conv(bias = var_1924_bias_0_to_fp16, dilations = var_1920, groups = var_8, pad = input_639_pad_0, pad_type = input_639_pad_type_0, strides = var_1918, weight = var_1924_weight_0_to_fp16, x = input_635_cast_fp16)[name = tensor("op_1924_cast_fp16")]; + tensor input_641_cast_fp16 = add(x = input_627_cast_fp16, y = var_1924_cast_fp16)[name = tensor("input_641_cast_fp16")]; + tensor var_1932 = const()[name = tensor("op_1932"), val = tensor([1, 1])]; + tensor var_1934 = const()[name = tensor("op_1934"), val = tensor([1, 1])]; + tensor input_643_pad_type_0 = const()[name = tensor("input_643_pad_type_0"), val = tensor("custom")]; + tensor input_643_pad_0 = const()[name = tensor("input_643_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_22_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_22_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(32663872)))]; + tensor original_model_image_encoder_model_network_4_22_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_22_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(32669696)))]; + tensor input_643_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_22_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1934, groups = var_17, pad = input_643_pad_0, pad_type = input_643_pad_type_0, strides = var_1932, weight = original_model_image_encoder_model_network_4_22_token_mixer_reparam_conv_weight_to_fp16, x = input_641_cast_fp16)[name = tensor("input_643_cast_fp16")]; + tensor var_1943 = const()[name = tensor("op_1943"), val = tensor([1, 1])]; + tensor var_1945 = const()[name = tensor("op_1945"), val = tensor([1, 1])]; + tensor input_645_pad_type_0 = const()[name = tensor("input_645_pad_type_0"), val = tensor("custom")]; + tensor input_645_pad_0 = const()[name = tensor("input_645_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_647_weight_0_to_fp16 = const()[name = tensor("input_647_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(32670400)))]; + tensor input_647_bias_0_to_fp16 = const()[name = tensor("input_647_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(32701824)))]; + tensor input_647_cast_fp16 = conv(bias = input_647_bias_0_to_fp16, dilations = var_1945, groups = var_17, pad = input_645_pad_0, pad_type = input_645_pad_type_0, strides = var_1943, weight = input_647_weight_0_to_fp16, x = input_643_cast_fp16)[name = tensor("input_647_cast_fp16")]; + tensor var_1955 = const()[name = tensor("op_1955"), val = tensor([1, 1])]; + tensor var_1957 = const()[name = tensor("op_1957"), val = tensor([1, 1])]; + tensor input_649_pad_type_0 = const()[name = tensor("input_649_pad_type_0"), val = tensor("custom")]; + tensor input_649_pad_0 = const()[name = tensor("input_649_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_22_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_22_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(32702528)))]; + tensor original_model_image_encoder_model_network_4_22_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_22_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(33316992)))]; + tensor input_649_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_22_convffn_fc1_bias_to_fp16, dilations = var_1957, groups = var_8, pad = input_649_pad_0, pad_type = input_649_pad_type_0, strides = var_1955, weight = original_model_image_encoder_model_network_4_22_convffn_fc1_weight_to_fp16, x = input_647_cast_fp16)[name = tensor("input_649_cast_fp16")]; + tensor input_651_mode_0 = const()[name = tensor("input_651_mode_0"), val = tensor("EXACT")]; + tensor input_651_cast_fp16 = gelu(mode = input_651_mode_0, x = input_649_cast_fp16)[name = tensor("input_651_cast_fp16")]; + tensor var_1964 = const()[name = tensor("op_1964"), val = tensor([1, 1])]; + tensor var_1966 = const()[name = tensor("op_1966"), val = tensor([1, 1])]; + tensor input_655_pad_type_0 = const()[name = tensor("input_655_pad_type_0"), val = tensor("custom")]; + tensor input_655_pad_0 = const()[name = tensor("input_655_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_1970_weight_0_to_fp16 = const()[name = tensor("op_1970_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(33318976)))]; + tensor var_1970_bias_0_to_fp16 = const()[name = tensor("op_1970_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(33933440)))]; + tensor var_1970_cast_fp16 = conv(bias = var_1970_bias_0_to_fp16, dilations = var_1966, groups = var_8, pad = input_655_pad_0, pad_type = input_655_pad_type_0, strides = var_1964, weight = var_1970_weight_0_to_fp16, x = input_651_cast_fp16)[name = tensor("op_1970_cast_fp16")]; + tensor input_657_cast_fp16 = add(x = input_643_cast_fp16, y = var_1970_cast_fp16)[name = tensor("input_657_cast_fp16")]; + tensor var_1978 = const()[name = tensor("op_1978"), val = tensor([1, 1])]; + tensor var_1980 = const()[name = tensor("op_1980"), val = tensor([1, 1])]; + tensor input_659_pad_type_0 = const()[name = tensor("input_659_pad_type_0"), val = tensor("custom")]; + tensor input_659_pad_0 = const()[name = tensor("input_659_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_network_4_23_token_mixer_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_23_token_mixer_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(33934144)))]; + tensor original_model_image_encoder_model_network_4_23_token_mixer_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_23_token_mixer_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(33939968)))]; + tensor input_659_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_23_token_mixer_reparam_conv_bias_to_fp16, dilations = var_1980, groups = var_17, pad = input_659_pad_0, pad_type = input_659_pad_type_0, strides = var_1978, weight = original_model_image_encoder_model_network_4_23_token_mixer_reparam_conv_weight_to_fp16, x = input_657_cast_fp16)[name = tensor("input_659_cast_fp16")]; + tensor var_1989 = const()[name = tensor("op_1989"), val = tensor([1, 1])]; + tensor var_1991 = const()[name = tensor("op_1991"), val = tensor([1, 1])]; + tensor input_661_pad_type_0 = const()[name = tensor("input_661_pad_type_0"), val = tensor("custom")]; + tensor input_661_pad_0 = const()[name = tensor("input_661_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_663_weight_0_to_fp16 = const()[name = tensor("input_663_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(33940672)))]; + tensor input_663_bias_0_to_fp16 = const()[name = tensor("input_663_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(33972096)))]; + tensor input_663_cast_fp16 = conv(bias = input_663_bias_0_to_fp16, dilations = var_1991, groups = var_17, pad = input_661_pad_0, pad_type = input_661_pad_type_0, strides = var_1989, weight = input_663_weight_0_to_fp16, x = input_659_cast_fp16)[name = tensor("input_663_cast_fp16")]; + tensor var_2001 = const()[name = tensor("op_2001"), val = tensor([1, 1])]; + tensor var_2003 = const()[name = tensor("op_2003"), val = tensor([1, 1])]; + tensor input_665_pad_type_0 = const()[name = tensor("input_665_pad_type_0"), val = tensor("custom")]; + tensor input_665_pad_0 = const()[name = tensor("input_665_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_4_23_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_23_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(33972800)))]; + tensor original_model_image_encoder_model_network_4_23_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_4_23_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(34587264)))]; + tensor input_665_cast_fp16 = conv(bias = original_model_image_encoder_model_network_4_23_convffn_fc1_bias_to_fp16, dilations = var_2003, groups = var_8, pad = input_665_pad_0, pad_type = input_665_pad_type_0, strides = var_2001, weight = original_model_image_encoder_model_network_4_23_convffn_fc1_weight_to_fp16, x = input_663_cast_fp16)[name = tensor("input_665_cast_fp16")]; + tensor input_667_mode_0 = const()[name = tensor("input_667_mode_0"), val = tensor("EXACT")]; + tensor input_667_cast_fp16 = gelu(mode = input_667_mode_0, x = input_665_cast_fp16)[name = tensor("input_667_cast_fp16")]; + tensor var_2010 = const()[name = tensor("op_2010"), val = tensor([1, 1])]; + tensor var_2012 = const()[name = tensor("op_2012"), val = tensor([1, 1])]; + tensor input_671_pad_type_0 = const()[name = tensor("input_671_pad_type_0"), val = tensor("custom")]; + tensor input_671_pad_0 = const()[name = tensor("input_671_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_2016_weight_0_to_fp16 = const()[name = tensor("op_2016_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(34589248)))]; + tensor var_2016_bias_0_to_fp16 = const()[name = tensor("op_2016_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(35203712)))]; + tensor var_2016_cast_fp16 = conv(bias = var_2016_bias_0_to_fp16, dilations = var_2012, groups = var_8, pad = input_671_pad_0, pad_type = input_671_pad_type_0, strides = var_2010, weight = var_2016_weight_0_to_fp16, x = input_667_cast_fp16)[name = tensor("op_2016_cast_fp16")]; + tensor input_673_cast_fp16 = add(x = input_659_cast_fp16, y = var_2016_cast_fp16)[name = tensor("input_673_cast_fp16")]; + tensor var_2025 = const()[name = tensor("op_2025"), val = tensor([2, 2])]; + tensor var_2027 = const()[name = tensor("op_2027"), val = tensor([1, 1])]; + tensor x_5_pad_type_0 = const()[name = tensor("x_5_pad_type_0"), val = tensor("custom")]; + tensor x_5_pad_0 = const()[name = tensor("x_5_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor original_model_image_encoder_model_network_5_proj_0_lkb_reparam_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_5_proj_0_lkb_reparam_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(35204416)))]; + tensor original_model_image_encoder_model_network_5_proj_0_lkb_reparam_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_5_proj_0_lkb_reparam_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(35267200)))]; + tensor x_5_cast_fp16 = conv(bias = original_model_image_encoder_model_network_5_proj_0_lkb_reparam_bias_to_fp16, dilations = var_2027, groups = var_17, pad = x_5_pad_0, pad_type = x_5_pad_type_0, strides = var_2025, weight = original_model_image_encoder_model_network_5_proj_0_lkb_reparam_weight_to_fp16, x = input_673_cast_fp16)[name = tensor("x_5_cast_fp16")]; + tensor var_2032 = const()[name = tensor("op_2032"), val = tensor([2, 3])]; + tensor input_675_cast_fp16 = reduce_mean(axes = var_2032, keep_dims = var_5, x = x_5_cast_fp16)[name = tensor("input_675_cast_fp16")]; + tensor var_2036 = const()[name = tensor("op_2036"), val = tensor([1, 1])]; + tensor var_2038 = const()[name = tensor("op_2038"), val = tensor([1, 1])]; + tensor input_677_pad_type_0 = const()[name = tensor("input_677_pad_type_0"), val = tensor("custom")]; + tensor input_677_pad_0 = const()[name = tensor("input_677_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_5_proj_0_se_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_5_proj_0_se_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(35268544)))]; + tensor original_model_image_encoder_model_network_5_proj_0_se_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_5_proj_0_se_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(35473408)))]; + tensor input_677_cast_fp16 = conv(bias = original_model_image_encoder_model_network_5_proj_0_se_fc1_bias_to_fp16, dilations = var_2038, groups = var_8, pad = input_677_pad_0, pad_type = input_677_pad_type_0, strides = var_2036, weight = original_model_image_encoder_model_network_5_proj_0_se_fc1_weight_to_fp16, x = input_675_cast_fp16)[name = tensor("input_677_cast_fp16")]; + tensor input_679_cast_fp16 = relu(x = input_677_cast_fp16)[name = tensor("input_679_cast_fp16")]; + tensor var_2044 = const()[name = tensor("op_2044"), val = tensor([1, 1])]; + tensor var_2046 = const()[name = tensor("op_2046"), val = tensor([1, 1])]; + tensor x_7_pad_type_0 = const()[name = tensor("x_7_pad_type_0"), val = tensor("custom")]; + tensor x_7_pad_0 = const()[name = tensor("x_7_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_5_proj_0_se_fc2_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_5_proj_0_se_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(35473792)))]; + tensor original_model_image_encoder_model_network_5_proj_0_se_fc2_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_5_proj_0_se_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(35678656)))]; + tensor x_7_cast_fp16 = conv(bias = original_model_image_encoder_model_network_5_proj_0_se_fc2_bias_to_fp16, dilations = var_2046, groups = var_8, pad = x_7_pad_0, pad_type = x_7_pad_type_0, strides = var_2044, weight = original_model_image_encoder_model_network_5_proj_0_se_fc2_weight_to_fp16, x = input_679_cast_fp16)[name = tensor("x_7_cast_fp16")]; + tensor var_2049_cast_fp16 = sigmoid(x = x_7_cast_fp16)[name = tensor("op_2049_cast_fp16")]; + tensor input_681_cast_fp16 = mul(x = x_5_cast_fp16, y = var_2049_cast_fp16)[name = tensor("input_681_cast_fp16")]; + tensor input_683_mode_0 = const()[name = tensor("input_683_mode_0"), val = tensor("EXACT")]; + tensor input_683_cast_fp16 = gelu(mode = input_683_mode_0, x = input_681_cast_fp16)[name = tensor("input_683_cast_fp16")]; + tensor var_2055 = const()[name = tensor("op_2055"), val = tensor([1, 1])]; + tensor var_2057 = const()[name = tensor("op_2057"), val = tensor([1, 1])]; + tensor input_685_pad_type_0 = const()[name = tensor("input_685_pad_type_0"), val = tensor("custom")]; + tensor input_685_pad_0 = const()[name = tensor("input_685_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_5_proj_1_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_5_proj_1_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(35680000)))]; + tensor original_model_image_encoder_model_network_5_proj_1_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_5_proj_1_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36499264)))]; + tensor input_685_cast_fp16 = conv(bias = original_model_image_encoder_model_network_5_proj_1_reparam_conv_bias_to_fp16, dilations = var_2057, groups = var_8, pad = input_685_pad_0, pad_type = input_685_pad_type_0, strides = var_2055, weight = original_model_image_encoder_model_network_5_proj_1_reparam_conv_weight_to_fp16, x = input_683_cast_fp16)[name = tensor("input_685_cast_fp16")]; + tensor input_687_mode_0 = const()[name = tensor("input_687_mode_0"), val = tensor("EXACT")]; + tensor input_687_cast_fp16 = gelu(mode = input_687_mode_0, x = input_685_cast_fp16)[name = tensor("input_687_cast_fp16")]; + tensor var_2064 = const()[name = tensor("op_2064"), val = tensor([1, 1])]; + tensor var_2066 = const()[name = tensor("op_2066"), val = tensor([1, 1])]; + tensor input_689_pad_type_0 = const()[name = tensor("input_689_pad_type_0"), val = tensor("custom")]; + tensor input_689_pad_0 = const()[name = tensor("input_689_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor original_model_image_encoder_model_network_6_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_6_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36500608)))]; + tensor original_model_image_encoder_model_network_6_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_6_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36563392)))]; + tensor input_689_cast_fp16 = conv(bias = original_model_image_encoder_model_network_6_reparam_conv_bias_to_fp16, dilations = var_2066, groups = var_18, pad = input_689_pad_0, pad_type = input_689_pad_type_0, strides = var_2064, weight = original_model_image_encoder_model_network_6_reparam_conv_weight_to_fp16, x = input_687_cast_fp16)[name = tensor("input_689_cast_fp16")]; + tensor original_model_image_encoder_model_network_7_0_norm_running_mean_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_0_norm_running_mean_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36564736)))]; + tensor original_model_image_encoder_model_network_7_0_norm_running_var_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_0_norm_running_var_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36566080)))]; + tensor original_model_image_encoder_model_network_7_0_norm_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_0_norm_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36567424)))]; + tensor original_model_image_encoder_model_network_7_0_norm_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_0_norm_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36568768)))]; + tensor var_14_to_fp16 = const()[name = tensor("op_14_to_fp16"), val = tensor(0x1.5p-17)]; + tensor x_9_cast_fp16 = batch_norm(beta = original_model_image_encoder_model_network_7_0_norm_bias_to_fp16, epsilon = var_14_to_fp16, gamma = original_model_image_encoder_model_network_7_0_norm_weight_to_fp16, mean = original_model_image_encoder_model_network_7_0_norm_running_mean_to_fp16, variance = original_model_image_encoder_model_network_7_0_norm_running_var_to_fp16, x = input_689_cast_fp16)[name = tensor("x_9_cast_fp16")]; + tensor concat_0 = const()[name = tensor("concat_0"), val = tensor([1, 640, 64])]; + tensor var_2094_cast_fp16 = reshape(shape = concat_0, x = x_9_cast_fp16)[name = tensor("op_2094_cast_fp16")]; + tensor input_691_perm_0 = const()[name = tensor("input_691_perm_0"), val = tensor([0, -1, -2])]; + tensor original_model_image_encoder_model_network_7_0_token_mixer_qkv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_0_token_mixer_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36570112)))]; + tensor linear_0_bias_0_to_fp16 = const()[name = tensor("linear_0_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39027776)))]; + tensor transpose_19 = transpose(perm = input_691_perm_0, x = var_2094_cast_fp16)[name = tensor("transpose_19")]; + tensor linear_0_cast_fp16 = linear(bias = linear_0_bias_0_to_fp16, weight = original_model_image_encoder_model_network_7_0_token_mixer_qkv_weight_to_fp16, x = transpose_19)[name = tensor("linear_0_cast_fp16")]; + tensor var_2098 = const()[name = tensor("op_2098"), val = tensor([1, 64, 3, 20, 32])]; + tensor var_2099_cast_fp16 = reshape(shape = var_2098, x = linear_0_cast_fp16)[name = tensor("op_2099_cast_fp16")]; + tensor var_2100 = const()[name = tensor("op_2100"), val = tensor([2, 0, 3, 1, 4])]; + tensor var_2102_split_sizes_0 = const()[name = tensor("op_2102_split_sizes_0"), val = tensor([1, 1, 1])]; + tensor var_2102_axis_0 = const()[name = tensor("op_2102_axis_0"), val = tensor(0)]; + tensor transpose_18 = transpose(perm = var_2100, x = var_2099_cast_fp16)[name = tensor("transpose_18")]; + tensor var_2102_cast_fp16_0, tensor var_2102_cast_fp16_1, tensor var_2102_cast_fp16_2 = split(axis = var_2102_axis_0, split_sizes = var_2102_split_sizes_0, x = transpose_18)[name = tensor("op_2102_cast_fp16")]; + tensor squeeze_0_axes_0 = const()[name = tensor("squeeze_0_axes_0"), val = tensor([0])]; + tensor squeeze_0_cast_fp16 = squeeze(axes = squeeze_0_axes_0, x = var_2102_cast_fp16_0)[name = tensor("squeeze_0_cast_fp16")]; + tensor squeeze_1_axes_0 = const()[name = tensor("squeeze_1_axes_0"), val = tensor([0])]; + tensor squeeze_1_cast_fp16 = squeeze(axes = squeeze_1_axes_0, x = var_2102_cast_fp16_1)[name = tensor("squeeze_1_cast_fp16")]; + tensor squeeze_2_axes_0 = const()[name = tensor("squeeze_2_axes_0"), val = tensor([0])]; + tensor squeeze_2_cast_fp16 = squeeze(axes = squeeze_2_axes_0, x = var_2102_cast_fp16_2)[name = tensor("squeeze_2_cast_fp16")]; + tensor var_2106_to_fp16 = const()[name = tensor("op_2106_to_fp16"), val = tensor(0x1.6ap-3)]; + tensor var_2107_cast_fp16 = mul(x = squeeze_0_cast_fp16, y = var_2106_to_fp16)[name = tensor("op_2107_cast_fp16")]; + tensor var_2108_perm_0 = const()[name = tensor("op_2108_perm_0"), val = tensor([0, 1, -1, -2])]; + tensor attn_1_transpose_x_0 = const()[name = tensor("attn_1_transpose_x_0"), val = tensor(false)]; + tensor attn_1_transpose_y_0 = const()[name = tensor("attn_1_transpose_y_0"), val = tensor(false)]; + tensor transpose_17 = transpose(perm = var_2108_perm_0, x = squeeze_1_cast_fp16)[name = tensor("transpose_17")]; + tensor attn_1_cast_fp16 = matmul(transpose_x = attn_1_transpose_x_0, transpose_y = attn_1_transpose_y_0, x = var_2107_cast_fp16, y = transpose_17)[name = tensor("attn_1_cast_fp16")]; + tensor input_693_cast_fp16 = softmax(axis = var_23, x = attn_1_cast_fp16)[name = tensor("input_693_cast_fp16")]; + tensor var_2112_transpose_x_0 = const()[name = tensor("op_2112_transpose_x_0"), val = tensor(false)]; + tensor var_2112_transpose_y_0 = const()[name = tensor("op_2112_transpose_y_0"), val = tensor(false)]; + tensor var_2112_cast_fp16 = matmul(transpose_x = var_2112_transpose_x_0, transpose_y = var_2112_transpose_y_0, x = input_693_cast_fp16, y = squeeze_2_cast_fp16)[name = tensor("op_2112_cast_fp16")]; + tensor var_2113_perm_0 = const()[name = tensor("op_2113_perm_0"), val = tensor([0, 2, 1, 3])]; + tensor var_2114 = const()[name = tensor("op_2114"), val = tensor([1, 64, 640])]; + tensor transpose_16 = transpose(perm = var_2113_perm_0, x = var_2112_cast_fp16)[name = tensor("transpose_16")]; + tensor input_695_cast_fp16 = reshape(shape = var_2114, x = transpose_16)[name = tensor("input_695_cast_fp16")]; + tensor original_model_image_encoder_model_network_7_0_token_mixer_proj_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_0_token_mixer_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39031680)))]; + tensor original_model_image_encoder_model_network_7_0_token_mixer_proj_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_0_token_mixer_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39850944)))]; + tensor linear_1_cast_fp16 = linear(bias = original_model_image_encoder_model_network_7_0_token_mixer_proj_bias_to_fp16, weight = original_model_image_encoder_model_network_7_0_token_mixer_proj_weight_to_fp16, x = input_695_cast_fp16)[name = tensor("linear_1_cast_fp16")]; + tensor var_2120_perm_0 = const()[name = tensor("op_2120_perm_0"), val = tensor([0, -1, -2])]; + tensor var_2121 = const()[name = tensor("op_2121"), val = tensor([1, 640, 8, 8])]; + tensor transpose_15 = transpose(perm = var_2120_perm_0, x = linear_1_cast_fp16)[name = tensor("transpose_15")]; + tensor var_2122_cast_fp16 = reshape(shape = var_2121, x = transpose_15)[name = tensor("op_2122_cast_fp16")]; + tensor original_model_image_encoder_model_network_7_0_layer_scale_1_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_0_layer_scale_1_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39852288)))]; + tensor var_2123_cast_fp16 = mul(x = original_model_image_encoder_model_network_7_0_layer_scale_1_to_fp16, y = var_2122_cast_fp16)[name = tensor("op_2123_cast_fp16")]; + tensor input_699_cast_fp16 = add(x = input_689_cast_fp16, y = var_2123_cast_fp16)[name = tensor("input_699_cast_fp16")]; + tensor var_2131 = const()[name = tensor("op_2131"), val = tensor([1, 1])]; + tensor var_2133 = const()[name = tensor("op_2133"), val = tensor([1, 1])]; + tensor input_701_pad_type_0 = const()[name = tensor("input_701_pad_type_0"), val = tensor("custom")]; + tensor input_701_pad_0 = const()[name = tensor("input_701_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_703_weight_0_to_fp16 = const()[name = tensor("input_703_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39853632)))]; + tensor input_703_bias_0_to_fp16 = const()[name = tensor("input_703_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39916416)))]; + tensor input_703_cast_fp16 = conv(bias = input_703_bias_0_to_fp16, dilations = var_2133, groups = var_18, pad = input_701_pad_0, pad_type = input_701_pad_type_0, strides = var_2131, weight = input_703_weight_0_to_fp16, x = input_699_cast_fp16)[name = tensor("input_703_cast_fp16")]; + tensor var_2143 = const()[name = tensor("op_2143"), val = tensor([1, 1])]; + tensor var_2145 = const()[name = tensor("op_2145"), val = tensor([1, 1])]; + tensor input_705_pad_type_0 = const()[name = tensor("input_705_pad_type_0"), val = tensor("custom")]; + tensor input_705_pad_0 = const()[name = tensor("input_705_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_7_0_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_0_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(39917760)))]; + tensor original_model_image_encoder_model_network_7_0_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_0_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(42375424)))]; + tensor input_705_cast_fp16 = conv(bias = original_model_image_encoder_model_network_7_0_convffn_fc1_bias_to_fp16, dilations = var_2145, groups = var_8, pad = input_705_pad_0, pad_type = input_705_pad_type_0, strides = var_2143, weight = original_model_image_encoder_model_network_7_0_convffn_fc1_weight_to_fp16, x = input_703_cast_fp16)[name = tensor("input_705_cast_fp16")]; + tensor input_707_mode_0 = const()[name = tensor("input_707_mode_0"), val = tensor("EXACT")]; + tensor input_707_cast_fp16 = gelu(mode = input_707_mode_0, x = input_705_cast_fp16)[name = tensor("input_707_cast_fp16")]; + tensor var_2152 = const()[name = tensor("op_2152"), val = tensor([1, 1])]; + tensor var_2154 = const()[name = tensor("op_2154"), val = tensor([1, 1])]; + tensor input_711_pad_type_0 = const()[name = tensor("input_711_pad_type_0"), val = tensor("custom")]; + tensor input_711_pad_0 = const()[name = tensor("input_711_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_2158_weight_0_to_fp16 = const()[name = tensor("op_2158_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(42379328)))]; + tensor var_2158_bias_0_to_fp16 = const()[name = tensor("op_2158_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44836992)))]; + tensor var_2158_cast_fp16 = conv(bias = var_2158_bias_0_to_fp16, dilations = var_2154, groups = var_8, pad = input_711_pad_0, pad_type = input_711_pad_type_0, strides = var_2152, weight = var_2158_weight_0_to_fp16, x = input_707_cast_fp16)[name = tensor("op_2158_cast_fp16")]; + tensor input_713_cast_fp16 = add(x = input_699_cast_fp16, y = var_2158_cast_fp16)[name = tensor("input_713_cast_fp16")]; + tensor original_model_image_encoder_model_network_7_1_norm_running_mean_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_1_norm_running_mean_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44838336)))]; + tensor original_model_image_encoder_model_network_7_1_norm_running_var_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_1_norm_running_var_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44839680)))]; + tensor original_model_image_encoder_model_network_7_1_norm_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_1_norm_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44841024)))]; + tensor original_model_image_encoder_model_network_7_1_norm_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_1_norm_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44842368)))]; + tensor x_13_cast_fp16 = batch_norm(beta = original_model_image_encoder_model_network_7_1_norm_bias_to_fp16, epsilon = var_14_to_fp16, gamma = original_model_image_encoder_model_network_7_1_norm_weight_to_fp16, mean = original_model_image_encoder_model_network_7_1_norm_running_mean_to_fp16, variance = original_model_image_encoder_model_network_7_1_norm_running_var_to_fp16, x = input_713_cast_fp16)[name = tensor("x_13_cast_fp16")]; + tensor concat_1 = const()[name = tensor("concat_1"), val = tensor([1, 640, 64])]; + tensor var_2181_cast_fp16 = reshape(shape = concat_1, x = x_13_cast_fp16)[name = tensor("op_2181_cast_fp16")]; + tensor input_715_perm_0 = const()[name = tensor("input_715_perm_0"), val = tensor([0, -1, -2])]; + tensor original_model_image_encoder_model_network_7_1_token_mixer_qkv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_1_token_mixer_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44843712)))]; + tensor transpose_14 = transpose(perm = input_715_perm_0, x = var_2181_cast_fp16)[name = tensor("transpose_14")]; + tensor linear_2_cast_fp16 = linear(bias = linear_0_bias_0_to_fp16, weight = original_model_image_encoder_model_network_7_1_token_mixer_qkv_weight_to_fp16, x = transpose_14)[name = tensor("linear_2_cast_fp16")]; + tensor var_2185 = const()[name = tensor("op_2185"), val = tensor([1, 64, 3, 20, 32])]; + tensor var_2186_cast_fp16 = reshape(shape = var_2185, x = linear_2_cast_fp16)[name = tensor("op_2186_cast_fp16")]; + tensor var_2187 = const()[name = tensor("op_2187"), val = tensor([2, 0, 3, 1, 4])]; + tensor var_2189_split_sizes_0 = const()[name = tensor("op_2189_split_sizes_0"), val = tensor([1, 1, 1])]; + tensor var_2189_axis_0 = const()[name = tensor("op_2189_axis_0"), val = tensor(0)]; + tensor transpose_13 = transpose(perm = var_2187, x = var_2186_cast_fp16)[name = tensor("transpose_13")]; + tensor var_2189_cast_fp16_0, tensor var_2189_cast_fp16_1, tensor var_2189_cast_fp16_2 = split(axis = var_2189_axis_0, split_sizes = var_2189_split_sizes_0, x = transpose_13)[name = tensor("op_2189_cast_fp16")]; + tensor squeeze_3_axes_0 = const()[name = tensor("squeeze_3_axes_0"), val = tensor([0])]; + tensor squeeze_3_cast_fp16 = squeeze(axes = squeeze_3_axes_0, x = var_2189_cast_fp16_0)[name = tensor("squeeze_3_cast_fp16")]; + tensor squeeze_4_axes_0 = const()[name = tensor("squeeze_4_axes_0"), val = tensor([0])]; + tensor squeeze_4_cast_fp16 = squeeze(axes = squeeze_4_axes_0, x = var_2189_cast_fp16_1)[name = tensor("squeeze_4_cast_fp16")]; + tensor squeeze_5_axes_0 = const()[name = tensor("squeeze_5_axes_0"), val = tensor([0])]; + tensor squeeze_5_cast_fp16 = squeeze(axes = squeeze_5_axes_0, x = var_2189_cast_fp16_2)[name = tensor("squeeze_5_cast_fp16")]; + tensor var_2193_to_fp16 = const()[name = tensor("op_2193_to_fp16"), val = tensor(0x1.6ap-3)]; + tensor var_2194_cast_fp16 = mul(x = squeeze_3_cast_fp16, y = var_2193_to_fp16)[name = tensor("op_2194_cast_fp16")]; + tensor var_2195_perm_0 = const()[name = tensor("op_2195_perm_0"), val = tensor([0, 1, -1, -2])]; + tensor attn_5_transpose_x_0 = const()[name = tensor("attn_5_transpose_x_0"), val = tensor(false)]; + tensor attn_5_transpose_y_0 = const()[name = tensor("attn_5_transpose_y_0"), val = tensor(false)]; + tensor transpose_12 = transpose(perm = var_2195_perm_0, x = squeeze_4_cast_fp16)[name = tensor("transpose_12")]; + tensor attn_5_cast_fp16 = matmul(transpose_x = attn_5_transpose_x_0, transpose_y = attn_5_transpose_y_0, x = var_2194_cast_fp16, y = transpose_12)[name = tensor("attn_5_cast_fp16")]; + tensor input_717_cast_fp16 = softmax(axis = var_23, x = attn_5_cast_fp16)[name = tensor("input_717_cast_fp16")]; + tensor var_2199_transpose_x_0 = const()[name = tensor("op_2199_transpose_x_0"), val = tensor(false)]; + tensor var_2199_transpose_y_0 = const()[name = tensor("op_2199_transpose_y_0"), val = tensor(false)]; + tensor var_2199_cast_fp16 = matmul(transpose_x = var_2199_transpose_x_0, transpose_y = var_2199_transpose_y_0, x = input_717_cast_fp16, y = squeeze_5_cast_fp16)[name = tensor("op_2199_cast_fp16")]; + tensor var_2200_perm_0 = const()[name = tensor("op_2200_perm_0"), val = tensor([0, 2, 1, 3])]; + tensor var_2201 = const()[name = tensor("op_2201"), val = tensor([1, 64, 640])]; + tensor transpose_11 = transpose(perm = var_2200_perm_0, x = var_2199_cast_fp16)[name = tensor("transpose_11")]; + tensor input_719_cast_fp16 = reshape(shape = var_2201, x = transpose_11)[name = tensor("input_719_cast_fp16")]; + tensor original_model_image_encoder_model_network_7_1_token_mixer_proj_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_1_token_mixer_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(47301376)))]; + tensor original_model_image_encoder_model_network_7_1_token_mixer_proj_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_1_token_mixer_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48120640)))]; + tensor linear_3_cast_fp16 = linear(bias = original_model_image_encoder_model_network_7_1_token_mixer_proj_bias_to_fp16, weight = original_model_image_encoder_model_network_7_1_token_mixer_proj_weight_to_fp16, x = input_719_cast_fp16)[name = tensor("linear_3_cast_fp16")]; + tensor var_2207_perm_0 = const()[name = tensor("op_2207_perm_0"), val = tensor([0, -1, -2])]; + tensor var_2208 = const()[name = tensor("op_2208"), val = tensor([1, 640, 8, 8])]; + tensor transpose_10 = transpose(perm = var_2207_perm_0, x = linear_3_cast_fp16)[name = tensor("transpose_10")]; + tensor var_2209_cast_fp16 = reshape(shape = var_2208, x = transpose_10)[name = tensor("op_2209_cast_fp16")]; + tensor original_model_image_encoder_model_network_7_1_layer_scale_1_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_1_layer_scale_1_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48121984)))]; + tensor var_2210_cast_fp16 = mul(x = original_model_image_encoder_model_network_7_1_layer_scale_1_to_fp16, y = var_2209_cast_fp16)[name = tensor("op_2210_cast_fp16")]; + tensor input_723_cast_fp16 = add(x = input_713_cast_fp16, y = var_2210_cast_fp16)[name = tensor("input_723_cast_fp16")]; + tensor var_2218 = const()[name = tensor("op_2218"), val = tensor([1, 1])]; + tensor var_2220 = const()[name = tensor("op_2220"), val = tensor([1, 1])]; + tensor input_725_pad_type_0 = const()[name = tensor("input_725_pad_type_0"), val = tensor("custom")]; + tensor input_725_pad_0 = const()[name = tensor("input_725_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_727_weight_0_to_fp16 = const()[name = tensor("input_727_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48123328)))]; + tensor input_727_bias_0_to_fp16 = const()[name = tensor("input_727_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48186112)))]; + tensor input_727_cast_fp16 = conv(bias = input_727_bias_0_to_fp16, dilations = var_2220, groups = var_18, pad = input_725_pad_0, pad_type = input_725_pad_type_0, strides = var_2218, weight = input_727_weight_0_to_fp16, x = input_723_cast_fp16)[name = tensor("input_727_cast_fp16")]; + tensor var_2230 = const()[name = tensor("op_2230"), val = tensor([1, 1])]; + tensor var_2232 = const()[name = tensor("op_2232"), val = tensor([1, 1])]; + tensor input_729_pad_type_0 = const()[name = tensor("input_729_pad_type_0"), val = tensor("custom")]; + tensor input_729_pad_0 = const()[name = tensor("input_729_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_7_1_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_1_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(48187456)))]; + tensor original_model_image_encoder_model_network_7_1_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_1_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(50645120)))]; + tensor input_729_cast_fp16 = conv(bias = original_model_image_encoder_model_network_7_1_convffn_fc1_bias_to_fp16, dilations = var_2232, groups = var_8, pad = input_729_pad_0, pad_type = input_729_pad_type_0, strides = var_2230, weight = original_model_image_encoder_model_network_7_1_convffn_fc1_weight_to_fp16, x = input_727_cast_fp16)[name = tensor("input_729_cast_fp16")]; + tensor input_731_mode_0 = const()[name = tensor("input_731_mode_0"), val = tensor("EXACT")]; + tensor input_731_cast_fp16 = gelu(mode = input_731_mode_0, x = input_729_cast_fp16)[name = tensor("input_731_cast_fp16")]; + tensor var_2239 = const()[name = tensor("op_2239"), val = tensor([1, 1])]; + tensor var_2241 = const()[name = tensor("op_2241"), val = tensor([1, 1])]; + tensor input_735_pad_type_0 = const()[name = tensor("input_735_pad_type_0"), val = tensor("custom")]; + tensor input_735_pad_0 = const()[name = tensor("input_735_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_2245_weight_0_to_fp16 = const()[name = tensor("op_2245_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(50649024)))]; + tensor var_2245_bias_0_to_fp16 = const()[name = tensor("op_2245_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53106688)))]; + tensor var_2245_cast_fp16 = conv(bias = var_2245_bias_0_to_fp16, dilations = var_2241, groups = var_8, pad = input_735_pad_0, pad_type = input_735_pad_type_0, strides = var_2239, weight = var_2245_weight_0_to_fp16, x = input_731_cast_fp16)[name = tensor("op_2245_cast_fp16")]; + tensor input_737_cast_fp16 = add(x = input_723_cast_fp16, y = var_2245_cast_fp16)[name = tensor("input_737_cast_fp16")]; + tensor original_model_image_encoder_model_network_7_2_norm_running_mean_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_2_norm_running_mean_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53108032)))]; + tensor original_model_image_encoder_model_network_7_2_norm_running_var_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_2_norm_running_var_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53109376)))]; + tensor original_model_image_encoder_model_network_7_2_norm_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_2_norm_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53110720)))]; + tensor original_model_image_encoder_model_network_7_2_norm_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_2_norm_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53112064)))]; + tensor x_17_cast_fp16 = batch_norm(beta = original_model_image_encoder_model_network_7_2_norm_bias_to_fp16, epsilon = var_14_to_fp16, gamma = original_model_image_encoder_model_network_7_2_norm_weight_to_fp16, mean = original_model_image_encoder_model_network_7_2_norm_running_mean_to_fp16, variance = original_model_image_encoder_model_network_7_2_norm_running_var_to_fp16, x = input_737_cast_fp16)[name = tensor("x_17_cast_fp16")]; + tensor concat_2 = const()[name = tensor("concat_2"), val = tensor([1, 640, 64])]; + tensor var_2268_cast_fp16 = reshape(shape = concat_2, x = x_17_cast_fp16)[name = tensor("op_2268_cast_fp16")]; + tensor input_739_perm_0 = const()[name = tensor("input_739_perm_0"), val = tensor([0, -1, -2])]; + tensor original_model_image_encoder_model_network_7_2_token_mixer_qkv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_2_token_mixer_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53113408)))]; + tensor transpose_9 = transpose(perm = input_739_perm_0, x = var_2268_cast_fp16)[name = tensor("transpose_9")]; + tensor linear_4_cast_fp16 = linear(bias = linear_0_bias_0_to_fp16, weight = original_model_image_encoder_model_network_7_2_token_mixer_qkv_weight_to_fp16, x = transpose_9)[name = tensor("linear_4_cast_fp16")]; + tensor var_2272 = const()[name = tensor("op_2272"), val = tensor([1, 64, 3, 20, 32])]; + tensor var_2273_cast_fp16 = reshape(shape = var_2272, x = linear_4_cast_fp16)[name = tensor("op_2273_cast_fp16")]; + tensor var_2274 = const()[name = tensor("op_2274"), val = tensor([2, 0, 3, 1, 4])]; + tensor var_2276_split_sizes_0 = const()[name = tensor("op_2276_split_sizes_0"), val = tensor([1, 1, 1])]; + tensor var_2276_axis_0 = const()[name = tensor("op_2276_axis_0"), val = tensor(0)]; + tensor transpose_8 = transpose(perm = var_2274, x = var_2273_cast_fp16)[name = tensor("transpose_8")]; + tensor var_2276_cast_fp16_0, tensor var_2276_cast_fp16_1, tensor var_2276_cast_fp16_2 = split(axis = var_2276_axis_0, split_sizes = var_2276_split_sizes_0, x = transpose_8)[name = tensor("op_2276_cast_fp16")]; + tensor squeeze_6_axes_0 = const()[name = tensor("squeeze_6_axes_0"), val = tensor([0])]; + tensor squeeze_6_cast_fp16 = squeeze(axes = squeeze_6_axes_0, x = var_2276_cast_fp16_0)[name = tensor("squeeze_6_cast_fp16")]; + tensor squeeze_7_axes_0 = const()[name = tensor("squeeze_7_axes_0"), val = tensor([0])]; + tensor squeeze_7_cast_fp16 = squeeze(axes = squeeze_7_axes_0, x = var_2276_cast_fp16_1)[name = tensor("squeeze_7_cast_fp16")]; + tensor squeeze_8_axes_0 = const()[name = tensor("squeeze_8_axes_0"), val = tensor([0])]; + tensor squeeze_8_cast_fp16 = squeeze(axes = squeeze_8_axes_0, x = var_2276_cast_fp16_2)[name = tensor("squeeze_8_cast_fp16")]; + tensor var_2280_to_fp16 = const()[name = tensor("op_2280_to_fp16"), val = tensor(0x1.6ap-3)]; + tensor var_2281_cast_fp16 = mul(x = squeeze_6_cast_fp16, y = var_2280_to_fp16)[name = tensor("op_2281_cast_fp16")]; + tensor var_2282_perm_0 = const()[name = tensor("op_2282_perm_0"), val = tensor([0, 1, -1, -2])]; + tensor attn_9_transpose_x_0 = const()[name = tensor("attn_9_transpose_x_0"), val = tensor(false)]; + tensor attn_9_transpose_y_0 = const()[name = tensor("attn_9_transpose_y_0"), val = tensor(false)]; + tensor transpose_7 = transpose(perm = var_2282_perm_0, x = squeeze_7_cast_fp16)[name = tensor("transpose_7")]; + tensor attn_9_cast_fp16 = matmul(transpose_x = attn_9_transpose_x_0, transpose_y = attn_9_transpose_y_0, x = var_2281_cast_fp16, y = transpose_7)[name = tensor("attn_9_cast_fp16")]; + tensor input_741_cast_fp16 = softmax(axis = var_23, x = attn_9_cast_fp16)[name = tensor("input_741_cast_fp16")]; + tensor var_2286_transpose_x_0 = const()[name = tensor("op_2286_transpose_x_0"), val = tensor(false)]; + tensor var_2286_transpose_y_0 = const()[name = tensor("op_2286_transpose_y_0"), val = tensor(false)]; + tensor var_2286_cast_fp16 = matmul(transpose_x = var_2286_transpose_x_0, transpose_y = var_2286_transpose_y_0, x = input_741_cast_fp16, y = squeeze_8_cast_fp16)[name = tensor("op_2286_cast_fp16")]; + tensor var_2287_perm_0 = const()[name = tensor("op_2287_perm_0"), val = tensor([0, 2, 1, 3])]; + tensor var_2288 = const()[name = tensor("op_2288"), val = tensor([1, 64, 640])]; + tensor transpose_6 = transpose(perm = var_2287_perm_0, x = var_2286_cast_fp16)[name = tensor("transpose_6")]; + tensor input_743_cast_fp16 = reshape(shape = var_2288, x = transpose_6)[name = tensor("input_743_cast_fp16")]; + tensor original_model_image_encoder_model_network_7_2_token_mixer_proj_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_2_token_mixer_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(55571072)))]; + tensor original_model_image_encoder_model_network_7_2_token_mixer_proj_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_2_token_mixer_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(56390336)))]; + tensor linear_5_cast_fp16 = linear(bias = original_model_image_encoder_model_network_7_2_token_mixer_proj_bias_to_fp16, weight = original_model_image_encoder_model_network_7_2_token_mixer_proj_weight_to_fp16, x = input_743_cast_fp16)[name = tensor("linear_5_cast_fp16")]; + tensor var_2294_perm_0 = const()[name = tensor("op_2294_perm_0"), val = tensor([0, -1, -2])]; + tensor var_2295 = const()[name = tensor("op_2295"), val = tensor([1, 640, 8, 8])]; + tensor transpose_5 = transpose(perm = var_2294_perm_0, x = linear_5_cast_fp16)[name = tensor("transpose_5")]; + tensor var_2296_cast_fp16 = reshape(shape = var_2295, x = transpose_5)[name = tensor("op_2296_cast_fp16")]; + tensor original_model_image_encoder_model_network_7_2_layer_scale_1_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_2_layer_scale_1_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(56391680)))]; + tensor var_2297_cast_fp16 = mul(x = original_model_image_encoder_model_network_7_2_layer_scale_1_to_fp16, y = var_2296_cast_fp16)[name = tensor("op_2297_cast_fp16")]; + tensor input_747_cast_fp16 = add(x = input_737_cast_fp16, y = var_2297_cast_fp16)[name = tensor("input_747_cast_fp16")]; + tensor var_2305 = const()[name = tensor("op_2305"), val = tensor([1, 1])]; + tensor var_2307 = const()[name = tensor("op_2307"), val = tensor([1, 1])]; + tensor input_749_pad_type_0 = const()[name = tensor("input_749_pad_type_0"), val = tensor("custom")]; + tensor input_749_pad_0 = const()[name = tensor("input_749_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_751_weight_0_to_fp16 = const()[name = tensor("input_751_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(56393024)))]; + tensor input_751_bias_0_to_fp16 = const()[name = tensor("input_751_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(56455808)))]; + tensor input_751_cast_fp16 = conv(bias = input_751_bias_0_to_fp16, dilations = var_2307, groups = var_18, pad = input_749_pad_0, pad_type = input_749_pad_type_0, strides = var_2305, weight = input_751_weight_0_to_fp16, x = input_747_cast_fp16)[name = tensor("input_751_cast_fp16")]; + tensor var_2317 = const()[name = tensor("op_2317"), val = tensor([1, 1])]; + tensor var_2319 = const()[name = tensor("op_2319"), val = tensor([1, 1])]; + tensor input_753_pad_type_0 = const()[name = tensor("input_753_pad_type_0"), val = tensor("custom")]; + tensor input_753_pad_0 = const()[name = tensor("input_753_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_7_2_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_2_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(56457152)))]; + tensor original_model_image_encoder_model_network_7_2_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_2_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(58914816)))]; + tensor input_753_cast_fp16 = conv(bias = original_model_image_encoder_model_network_7_2_convffn_fc1_bias_to_fp16, dilations = var_2319, groups = var_8, pad = input_753_pad_0, pad_type = input_753_pad_type_0, strides = var_2317, weight = original_model_image_encoder_model_network_7_2_convffn_fc1_weight_to_fp16, x = input_751_cast_fp16)[name = tensor("input_753_cast_fp16")]; + tensor input_755_mode_0 = const()[name = tensor("input_755_mode_0"), val = tensor("EXACT")]; + tensor input_755_cast_fp16 = gelu(mode = input_755_mode_0, x = input_753_cast_fp16)[name = tensor("input_755_cast_fp16")]; + tensor var_2326 = const()[name = tensor("op_2326"), val = tensor([1, 1])]; + tensor var_2328 = const()[name = tensor("op_2328"), val = tensor([1, 1])]; + tensor input_759_pad_type_0 = const()[name = tensor("input_759_pad_type_0"), val = tensor("custom")]; + tensor input_759_pad_0 = const()[name = tensor("input_759_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_2332_weight_0_to_fp16 = const()[name = tensor("op_2332_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(58918720)))]; + tensor var_2332_bias_0_to_fp16 = const()[name = tensor("op_2332_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61376384)))]; + tensor var_2332_cast_fp16 = conv(bias = var_2332_bias_0_to_fp16, dilations = var_2328, groups = var_8, pad = input_759_pad_0, pad_type = input_759_pad_type_0, strides = var_2326, weight = var_2332_weight_0_to_fp16, x = input_755_cast_fp16)[name = tensor("op_2332_cast_fp16")]; + tensor input_761_cast_fp16 = add(x = input_747_cast_fp16, y = var_2332_cast_fp16)[name = tensor("input_761_cast_fp16")]; + tensor original_model_image_encoder_model_network_7_3_norm_running_mean_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_3_norm_running_mean_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61377728)))]; + tensor original_model_image_encoder_model_network_7_3_norm_running_var_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_3_norm_running_var_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61379072)))]; + tensor original_model_image_encoder_model_network_7_3_norm_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_3_norm_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61380416)))]; + tensor original_model_image_encoder_model_network_7_3_norm_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_3_norm_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61381760)))]; + tensor x_21_cast_fp16 = batch_norm(beta = original_model_image_encoder_model_network_7_3_norm_bias_to_fp16, epsilon = var_14_to_fp16, gamma = original_model_image_encoder_model_network_7_3_norm_weight_to_fp16, mean = original_model_image_encoder_model_network_7_3_norm_running_mean_to_fp16, variance = original_model_image_encoder_model_network_7_3_norm_running_var_to_fp16, x = input_761_cast_fp16)[name = tensor("x_21_cast_fp16")]; + tensor concat_3 = const()[name = tensor("concat_3"), val = tensor([1, 640, 64])]; + tensor var_2355_cast_fp16 = reshape(shape = concat_3, x = x_21_cast_fp16)[name = tensor("op_2355_cast_fp16")]; + tensor input_763_perm_0 = const()[name = tensor("input_763_perm_0"), val = tensor([0, -1, -2])]; + tensor original_model_image_encoder_model_network_7_3_token_mixer_qkv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_3_token_mixer_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61383104)))]; + tensor transpose_4 = transpose(perm = input_763_perm_0, x = var_2355_cast_fp16)[name = tensor("transpose_4")]; + tensor linear_6_cast_fp16 = linear(bias = linear_0_bias_0_to_fp16, weight = original_model_image_encoder_model_network_7_3_token_mixer_qkv_weight_to_fp16, x = transpose_4)[name = tensor("linear_6_cast_fp16")]; + tensor var_2359 = const()[name = tensor("op_2359"), val = tensor([1, 64, 3, 20, 32])]; + tensor var_2360_cast_fp16 = reshape(shape = var_2359, x = linear_6_cast_fp16)[name = tensor("op_2360_cast_fp16")]; + tensor var_2361 = const()[name = tensor("op_2361"), val = tensor([2, 0, 3, 1, 4])]; + tensor var_2363_split_sizes_0 = const()[name = tensor("op_2363_split_sizes_0"), val = tensor([1, 1, 1])]; + tensor var_2363_axis_0 = const()[name = tensor("op_2363_axis_0"), val = tensor(0)]; + tensor transpose_3 = transpose(perm = var_2361, x = var_2360_cast_fp16)[name = tensor("transpose_3")]; + tensor var_2363_cast_fp16_0, tensor var_2363_cast_fp16_1, tensor var_2363_cast_fp16_2 = split(axis = var_2363_axis_0, split_sizes = var_2363_split_sizes_0, x = transpose_3)[name = tensor("op_2363_cast_fp16")]; + tensor squeeze_9_axes_0 = const()[name = tensor("squeeze_9_axes_0"), val = tensor([0])]; + tensor squeeze_9_cast_fp16 = squeeze(axes = squeeze_9_axes_0, x = var_2363_cast_fp16_0)[name = tensor("squeeze_9_cast_fp16")]; + tensor squeeze_10_axes_0 = const()[name = tensor("squeeze_10_axes_0"), val = tensor([0])]; + tensor squeeze_10_cast_fp16 = squeeze(axes = squeeze_10_axes_0, x = var_2363_cast_fp16_1)[name = tensor("squeeze_10_cast_fp16")]; + tensor squeeze_11_axes_0 = const()[name = tensor("squeeze_11_axes_0"), val = tensor([0])]; + tensor squeeze_11_cast_fp16 = squeeze(axes = squeeze_11_axes_0, x = var_2363_cast_fp16_2)[name = tensor("squeeze_11_cast_fp16")]; + tensor var_2367_to_fp16 = const()[name = tensor("op_2367_to_fp16"), val = tensor(0x1.6ap-3)]; + tensor var_2368_cast_fp16 = mul(x = squeeze_9_cast_fp16, y = var_2367_to_fp16)[name = tensor("op_2368_cast_fp16")]; + tensor var_2369_perm_0 = const()[name = tensor("op_2369_perm_0"), val = tensor([0, 1, -1, -2])]; + tensor attn_13_transpose_x_0 = const()[name = tensor("attn_13_transpose_x_0"), val = tensor(false)]; + tensor attn_13_transpose_y_0 = const()[name = tensor("attn_13_transpose_y_0"), val = tensor(false)]; + tensor transpose_2 = transpose(perm = var_2369_perm_0, x = squeeze_10_cast_fp16)[name = tensor("transpose_2")]; + tensor attn_13_cast_fp16 = matmul(transpose_x = attn_13_transpose_x_0, transpose_y = attn_13_transpose_y_0, x = var_2368_cast_fp16, y = transpose_2)[name = tensor("attn_13_cast_fp16")]; + tensor input_765_cast_fp16 = softmax(axis = var_23, x = attn_13_cast_fp16)[name = tensor("input_765_cast_fp16")]; + tensor var_2373_transpose_x_0 = const()[name = tensor("op_2373_transpose_x_0"), val = tensor(false)]; + tensor var_2373_transpose_y_0 = const()[name = tensor("op_2373_transpose_y_0"), val = tensor(false)]; + tensor var_2373_cast_fp16 = matmul(transpose_x = var_2373_transpose_x_0, transpose_y = var_2373_transpose_y_0, x = input_765_cast_fp16, y = squeeze_11_cast_fp16)[name = tensor("op_2373_cast_fp16")]; + tensor var_2374_perm_0 = const()[name = tensor("op_2374_perm_0"), val = tensor([0, 2, 1, 3])]; + tensor var_2375 = const()[name = tensor("op_2375"), val = tensor([1, 64, 640])]; + tensor transpose_1 = transpose(perm = var_2374_perm_0, x = var_2373_cast_fp16)[name = tensor("transpose_1")]; + tensor input_767_cast_fp16 = reshape(shape = var_2375, x = transpose_1)[name = tensor("input_767_cast_fp16")]; + tensor original_model_image_encoder_model_network_7_3_token_mixer_proj_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_3_token_mixer_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(63840768)))]; + tensor original_model_image_encoder_model_network_7_3_token_mixer_proj_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_3_token_mixer_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(64660032)))]; + tensor linear_7_cast_fp16 = linear(bias = original_model_image_encoder_model_network_7_3_token_mixer_proj_bias_to_fp16, weight = original_model_image_encoder_model_network_7_3_token_mixer_proj_weight_to_fp16, x = input_767_cast_fp16)[name = tensor("linear_7_cast_fp16")]; + tensor var_2381_perm_0 = const()[name = tensor("op_2381_perm_0"), val = tensor([0, -1, -2])]; + tensor var_2382 = const()[name = tensor("op_2382"), val = tensor([1, 640, 8, 8])]; + tensor transpose_0 = transpose(perm = var_2381_perm_0, x = linear_7_cast_fp16)[name = tensor("transpose_0")]; + tensor var_2383_cast_fp16 = reshape(shape = var_2382, x = transpose_0)[name = tensor("op_2383_cast_fp16")]; + tensor original_model_image_encoder_model_network_7_3_layer_scale_1_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_3_layer_scale_1_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(64661376)))]; + tensor var_2384_cast_fp16 = mul(x = original_model_image_encoder_model_network_7_3_layer_scale_1_to_fp16, y = var_2383_cast_fp16)[name = tensor("op_2384_cast_fp16")]; + tensor input_771_cast_fp16 = add(x = input_761_cast_fp16, y = var_2384_cast_fp16)[name = tensor("input_771_cast_fp16")]; + tensor var_2392 = const()[name = tensor("op_2392"), val = tensor([1, 1])]; + tensor var_2394 = const()[name = tensor("op_2394"), val = tensor([1, 1])]; + tensor input_773_pad_type_0 = const()[name = tensor("input_773_pad_type_0"), val = tensor("custom")]; + tensor input_773_pad_0 = const()[name = tensor("input_773_pad_0"), val = tensor([3, 3, 3, 3])]; + tensor input_775_weight_0_to_fp16 = const()[name = tensor("input_775_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(64662720)))]; + tensor input_775_bias_0_to_fp16 = const()[name = tensor("input_775_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(64725504)))]; + tensor input_775_cast_fp16 = conv(bias = input_775_bias_0_to_fp16, dilations = var_2394, groups = var_18, pad = input_773_pad_0, pad_type = input_773_pad_type_0, strides = var_2392, weight = input_775_weight_0_to_fp16, x = input_771_cast_fp16)[name = tensor("input_775_cast_fp16")]; + tensor var_2404 = const()[name = tensor("op_2404"), val = tensor([1, 1])]; + tensor var_2406 = const()[name = tensor("op_2406"), val = tensor([1, 1])]; + tensor input_777_pad_type_0 = const()[name = tensor("input_777_pad_type_0"), val = tensor("custom")]; + tensor input_777_pad_0 = const()[name = tensor("input_777_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_network_7_3_convffn_fc1_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_3_convffn_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(64726848)))]; + tensor original_model_image_encoder_model_network_7_3_convffn_fc1_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_network_7_3_convffn_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(67184512)))]; + tensor input_777_cast_fp16 = conv(bias = original_model_image_encoder_model_network_7_3_convffn_fc1_bias_to_fp16, dilations = var_2406, groups = var_8, pad = input_777_pad_0, pad_type = input_777_pad_type_0, strides = var_2404, weight = original_model_image_encoder_model_network_7_3_convffn_fc1_weight_to_fp16, x = input_775_cast_fp16)[name = tensor("input_777_cast_fp16")]; + tensor input_779_mode_0 = const()[name = tensor("input_779_mode_0"), val = tensor("EXACT")]; + tensor input_779_cast_fp16 = gelu(mode = input_779_mode_0, x = input_777_cast_fp16)[name = tensor("input_779_cast_fp16")]; + tensor var_2413 = const()[name = tensor("op_2413"), val = tensor([1, 1])]; + tensor var_2415 = const()[name = tensor("op_2415"), val = tensor([1, 1])]; + tensor input_783_pad_type_0 = const()[name = tensor("input_783_pad_type_0"), val = tensor("custom")]; + tensor input_783_pad_0 = const()[name = tensor("input_783_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor var_2419_weight_0_to_fp16 = const()[name = tensor("op_2419_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(67188416)))]; + tensor var_2419_bias_0_to_fp16 = const()[name = tensor("op_2419_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(69646080)))]; + tensor var_2419_cast_fp16 = conv(bias = var_2419_bias_0_to_fp16, dilations = var_2415, groups = var_8, pad = input_783_pad_0, pad_type = input_783_pad_type_0, strides = var_2413, weight = var_2419_weight_0_to_fp16, x = input_779_cast_fp16)[name = tensor("op_2419_cast_fp16")]; + tensor input_785_cast_fp16 = add(x = input_771_cast_fp16, y = var_2419_cast_fp16)[name = tensor("input_785_cast_fp16")]; + tensor var_2425 = const()[name = tensor("op_2425"), val = tensor([1, 1])]; + tensor var_2427 = const()[name = tensor("op_2427"), val = tensor([1, 1])]; + tensor inputs_pad_type_0 = const()[name = tensor("inputs_pad_type_0"), val = tensor("custom")]; + tensor inputs_pad_0 = const()[name = tensor("inputs_pad_0"), val = tensor([1, 1, 1, 1])]; + tensor original_model_image_encoder_model_conv_exp_reparam_conv_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_conv_exp_reparam_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(69647424)))]; + tensor original_model_image_encoder_model_conv_exp_reparam_conv_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_conv_exp_reparam_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(69670528)))]; + tensor inputs_cast_fp16 = conv(bias = original_model_image_encoder_model_conv_exp_reparam_conv_bias_to_fp16, dilations = var_2427, groups = var_18, pad = inputs_pad_0, pad_type = inputs_pad_type_0, strides = var_2425, weight = original_model_image_encoder_model_conv_exp_reparam_conv_weight_to_fp16, x = input_785_cast_fp16)[name = tensor("inputs_cast_fp16")]; + tensor var_2435 = const()[name = tensor("op_2435"), val = tensor([8, 8])]; + tensor var_2436 = const()[name = tensor("op_2436"), val = tensor([8, 8])]; + tensor input_787_pad_type_0 = const()[name = tensor("input_787_pad_type_0"), val = tensor("custom")]; + tensor input_787_pad_0 = const()[name = tensor("input_787_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor input_787_exclude_padding_from_average_0 = const()[name = tensor("input_787_exclude_padding_from_average_0"), val = tensor(false)]; + tensor input_787_ceil_mode_0 = const()[name = tensor("input_787_ceil_mode_0"), val = tensor(false)]; + tensor input_787_cast_fp16 = avg_pool(ceil_mode = input_787_ceil_mode_0, exclude_padding_from_average = input_787_exclude_padding_from_average_0, kernel_sizes = var_2435, pad = input_787_pad_0, pad_type = input_787_pad_type_0, strides = var_2436, x = inputs_cast_fp16)[name = tensor("input_787_cast_fp16")]; + tensor var_2441 = const()[name = tensor("op_2441"), val = tensor([1, 1])]; + tensor var_2443 = const()[name = tensor("op_2443"), val = tensor([1, 1])]; + tensor input_789_pad_type_0 = const()[name = tensor("input_789_pad_type_0"), val = tensor("custom")]; + tensor input_789_pad_0 = const()[name = tensor("input_789_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_conv_exp_se_reduce_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_conv_exp_se_reduce_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(69673152)))]; + tensor original_model_image_encoder_model_conv_exp_se_reduce_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_conv_exp_se_reduce_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(69878016)))]; + tensor input_789_cast_fp16 = conv(bias = original_model_image_encoder_model_conv_exp_se_reduce_bias_to_fp16, dilations = var_2443, groups = var_8, pad = input_789_pad_0, pad_type = input_789_pad_type_0, strides = var_2441, weight = original_model_image_encoder_model_conv_exp_se_reduce_weight_to_fp16, x = input_787_cast_fp16)[name = tensor("input_789_cast_fp16")]; + tensor input_791_cast_fp16 = relu(x = input_789_cast_fp16)[name = tensor("input_791_cast_fp16")]; + tensor var_2449 = const()[name = tensor("op_2449"), val = tensor([1, 1])]; + tensor var_2451 = const()[name = tensor("op_2451"), val = tensor([1, 1])]; + tensor x_25_pad_type_0 = const()[name = tensor("x_25_pad_type_0"), val = tensor("custom")]; + tensor x_25_pad_0 = const()[name = tensor("x_25_pad_0"), val = tensor([0, 0, 0, 0])]; + tensor original_model_image_encoder_model_conv_exp_se_expand_weight_to_fp16 = const()[name = tensor("original_model_image_encoder_model_conv_exp_se_expand_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(69878272)))]; + tensor original_model_image_encoder_model_conv_exp_se_expand_bias_to_fp16 = const()[name = tensor("original_model_image_encoder_model_conv_exp_se_expand_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(70083136)))]; + tensor x_25_cast_fp16 = conv(bias = original_model_image_encoder_model_conv_exp_se_expand_bias_to_fp16, dilations = var_2451, groups = var_8, pad = x_25_pad_0, pad_type = x_25_pad_type_0, strides = var_2449, weight = original_model_image_encoder_model_conv_exp_se_expand_weight_to_fp16, x = input_791_cast_fp16)[name = tensor("x_25_cast_fp16")]; + tensor x_27_cast_fp16 = sigmoid(x = x_25_cast_fp16)[name = tensor("x_27_cast_fp16")]; + tensor input_cast_fp16 = mul(x = inputs_cast_fp16, y = x_27_cast_fp16)[name = tensor("input_cast_fp16")]; + tensor x_31_mode_0 = const()[name = tensor("x_31_mode_0"), val = tensor("EXACT")]; + tensor x_31_cast_fp16 = gelu(mode = x_31_mode_0, x = input_cast_fp16)[name = tensor("x_31_cast_fp16")]; + tensor var_2460 = const()[name = tensor("op_2460"), val = tensor([-2, -1])]; + tensor x_cast_fp16 = reduce_mean(axes = var_2460, keep_dims = var_7, x = x_31_cast_fp16)[name = tensor("x_cast_fp16")]; + tensor var_2462_weight_0_to_fp16 = const()[name = tensor("op_2462_weight_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(70085760)))]; + tensor var_2462_bias_0_to_fp16 = const()[name = tensor("op_2462_bias_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(71396544)))]; + tensor var_2462_cast_fp16 = linear(bias = var_2462_bias_0_to_fp16, weight = var_2462_weight_0_to_fp16, x = x_cast_fp16)[name = tensor("op_2462_cast_fp16")]; + tensor var_2462_cast_fp16_to_fp32_dtype_0 = const()[name = tensor("op_2462_cast_fp16_to_fp32_dtype_0"), val = tensor("fp32")]; + tensor embOutput = cast(dtype = var_2462_cast_fp16_to_fp32_dtype_0, x = var_2462_cast_fp16)[name = tensor("cast_17")]; + } -> (embOutput); +} \ No newline at end of file