diff --git "a/sharp.mlmodelc/model.mil" "b/sharp.mlmodelc/model.mil" deleted file mode 100644--- "a/sharp.mlmodelc/model.mil" +++ /dev/null @@ -1,5572 +0,0 @@ -program(1.0) -[buildInfo = dict, tensor>({{"coremlc-component-MIL", "3510.2.1"}, {"coremlc-version", "3500.32.1"}, {"coremltools-component-milinternal", ""}, {"coremltools-version", "9.0"}})] -{ - func main(tensor disparity_factor, tensor image) { - tensor var_6 = const()[name = tensor("op_6"), val = tensor(0)]; - tensor var_34 = const()[name = tensor("op_34"), val = tensor(-1)]; - tensor var_36 = const()[name = tensor("op_36"), val = tensor(-2)]; - tensor var_41 = const()[name = tensor("op_41"), val = tensor(1)]; - tensor image_to_fp16_dtype_0 = const()[name = tensor("image_to_fp16_dtype_0"), val = tensor("fp16")]; - tensor var_48_to_fp16 = const()[name = tensor("var_48_to_fp16"), val = tensor(0x1p+1)]; - tensor image_to_fp16 = cast(dtype = image_to_fp16_dtype_0, x = image)[name = tensor("cast_6")]; - tensor x_1_cast_fp16 = mul(x = image_to_fp16, y = var_48_to_fp16)[name = tensor("x_1_cast_fp16")]; - tensor var_50_to_fp16 = const()[name = tensor("var_50_to_fp16"), val = tensor(-0x1p+0)]; - tensor x_3_cast_fp16 = add(x = x_1_cast_fp16, y = var_50_to_fp16)[name = tensor("x_3_cast_fp16")]; - tensor image_3_scale_factor_height_0 = const()[name = tensor("image_3_scale_factor_height_0"), val = tensor(0x1p-1)]; - tensor image_3_scale_factor_width_0 = const()[name = tensor("image_3_scale_factor_width_0"), val = tensor(0x1p-1)]; - tensor image_3_align_corners_0 = const()[name = tensor("image_3_align_corners_0"), val = tensor(false)]; - tensor image_3_cast_fp16 = upsample_bilinear(align_corners = image_3_align_corners_0, scale_factor_height = image_3_scale_factor_height_0, scale_factor_width = image_3_scale_factor_width_0, x = x_3_cast_fp16)[name = tensor("image_3_cast_fp16")]; - tensor x2_scale_factor_height_0 = const()[name = tensor("x2_scale_factor_height_0"), val = tensor(0x1p-2)]; - tensor x2_scale_factor_width_0 = const()[name = tensor("x2_scale_factor_width_0"), val = tensor(0x1p-2)]; - tensor x2_align_corners_0 = const()[name = tensor("x2_align_corners_0"), val = tensor(false)]; - tensor x2_cast_fp16 = upsample_bilinear(align_corners = x2_align_corners_0, scale_factor_height = x2_scale_factor_height_0, scale_factor_width = x2_scale_factor_width_0, x = x_3_cast_fp16)[name = tensor("x2_cast_fp16")]; - tensor var_67_begin_0 = const()[name = tensor("op_67_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_67_end_0 = const()[name = tensor("op_67_end_0"), val = tensor([1, 3, 384, 1536])]; - tensor var_67_end_mask_0 = const()[name = tensor("op_67_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_67_cast_fp16 = slice_by_index(begin = var_67_begin_0, end = var_67_end_0, end_mask = var_67_end_mask_0, x = x_3_cast_fp16)[name = tensor("op_67_cast_fp16")]; - tensor var_68_begin_0 = const()[name = tensor("op_68_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_68_end_0 = const()[name = tensor("op_68_end_0"), val = tensor([1, 3, 384, 384])]; - tensor var_68_end_mask_0 = const()[name = tensor("op_68_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_68_cast_fp16 = slice_by_index(begin = var_68_begin_0, end = var_68_end_0, end_mask = var_68_end_mask_0, x = op_67_cast_fp16)[name = tensor("op_68_cast_fp16")]; - tensor var_70_begin_0 = const()[name = tensor("op_70_begin_0"), val = tensor([0, 0, 0, 288])]; - tensor var_70_end_0 = const()[name = tensor("op_70_end_0"), val = tensor([1, 3, 384, 672])]; - tensor var_70_end_mask_0 = const()[name = tensor("op_70_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_70_cast_fp16 = slice_by_index(begin = var_70_begin_0, end = var_70_end_0, end_mask = var_70_end_mask_0, x = op_67_cast_fp16)[name = tensor("op_70_cast_fp16")]; - tensor var_72_begin_0 = const()[name = tensor("op_72_begin_0"), val = tensor([0, 0, 0, 576])]; - tensor var_72_end_0 = const()[name = tensor("op_72_end_0"), val = tensor([1, 3, 384, 960])]; - tensor var_72_end_mask_0 = const()[name = tensor("op_72_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_72_cast_fp16 = slice_by_index(begin = var_72_begin_0, end = var_72_end_0, end_mask = var_72_end_mask_0, x = op_67_cast_fp16)[name = tensor("op_72_cast_fp16")]; - tensor var_74_begin_0 = const()[name = tensor("op_74_begin_0"), val = tensor([0, 0, 0, 864])]; - tensor var_74_end_0 = const()[name = tensor("op_74_end_0"), val = tensor([1, 3, 384, 1248])]; - tensor var_74_end_mask_0 = const()[name = tensor("op_74_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_74_cast_fp16 = slice_by_index(begin = var_74_begin_0, end = var_74_end_0, end_mask = var_74_end_mask_0, x = op_67_cast_fp16)[name = tensor("op_74_cast_fp16")]; - tensor var_76_begin_0 = const()[name = tensor("op_76_begin_0"), val = tensor([0, 0, 0, 1152])]; - tensor var_76_end_0 = const()[name = tensor("op_76_end_0"), val = tensor([1, 3, 384, 1])]; - tensor var_76_end_mask_0 = const()[name = tensor("op_76_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_76_cast_fp16 = slice_by_index(begin = var_76_begin_0, end = var_76_end_0, end_mask = var_76_end_mask_0, x = op_67_cast_fp16)[name = tensor("op_76_cast_fp16")]; - tensor var_77_begin_0 = const()[name = tensor("op_77_begin_0"), val = tensor([0, 0, 288, 0])]; - tensor var_77_end_0 = const()[name = tensor("op_77_end_0"), val = tensor([1, 3, 672, 1536])]; - tensor var_77_end_mask_0 = const()[name = tensor("op_77_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_77_cast_fp16 = slice_by_index(begin = var_77_begin_0, end = var_77_end_0, end_mask = var_77_end_mask_0, x = x_3_cast_fp16)[name = tensor("op_77_cast_fp16")]; - tensor var_78_begin_0 = const()[name = tensor("op_78_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_78_end_0 = const()[name = tensor("op_78_end_0"), val = tensor([1, 3, 384, 384])]; - tensor var_78_end_mask_0 = const()[name = tensor("op_78_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_78_cast_fp16 = slice_by_index(begin = var_78_begin_0, end = var_78_end_0, end_mask = var_78_end_mask_0, x = op_77_cast_fp16)[name = tensor("op_78_cast_fp16")]; - tensor var_80_begin_0 = const()[name = tensor("op_80_begin_0"), val = tensor([0, 0, 0, 288])]; - tensor var_80_end_0 = const()[name = tensor("op_80_end_0"), val = tensor([1, 3, 384, 672])]; - tensor var_80_end_mask_0 = const()[name = tensor("op_80_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_80_cast_fp16 = slice_by_index(begin = var_80_begin_0, end = var_80_end_0, end_mask = var_80_end_mask_0, x = op_77_cast_fp16)[name = tensor("op_80_cast_fp16")]; - tensor var_82_begin_0 = const()[name = tensor("op_82_begin_0"), val = tensor([0, 0, 0, 576])]; - tensor var_82_end_0 = const()[name = tensor("op_82_end_0"), val = tensor([1, 3, 384, 960])]; - tensor var_82_end_mask_0 = const()[name = tensor("op_82_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_82_cast_fp16 = slice_by_index(begin = var_82_begin_0, end = var_82_end_0, end_mask = var_82_end_mask_0, x = op_77_cast_fp16)[name = tensor("op_82_cast_fp16")]; - tensor var_84_begin_0 = const()[name = tensor("op_84_begin_0"), val = tensor([0, 0, 0, 864])]; - tensor var_84_end_0 = const()[name = tensor("op_84_end_0"), val = tensor([1, 3, 384, 1248])]; - tensor var_84_end_mask_0 = const()[name = tensor("op_84_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_84_cast_fp16 = slice_by_index(begin = var_84_begin_0, end = var_84_end_0, end_mask = var_84_end_mask_0, x = op_77_cast_fp16)[name = tensor("op_84_cast_fp16")]; - tensor var_86_begin_0 = const()[name = tensor("op_86_begin_0"), val = tensor([0, 0, 0, 1152])]; - tensor var_86_end_0 = const()[name = tensor("op_86_end_0"), val = tensor([1, 3, 384, 1])]; - tensor var_86_end_mask_0 = const()[name = tensor("op_86_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_86_cast_fp16 = slice_by_index(begin = var_86_begin_0, end = var_86_end_0, end_mask = var_86_end_mask_0, x = op_77_cast_fp16)[name = tensor("op_86_cast_fp16")]; - tensor var_87_begin_0 = const()[name = tensor("op_87_begin_0"), val = tensor([0, 0, 576, 0])]; - tensor var_87_end_0 = const()[name = tensor("op_87_end_0"), val = tensor([1, 3, 960, 1536])]; - tensor var_87_end_mask_0 = const()[name = tensor("op_87_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_87_cast_fp16 = slice_by_index(begin = var_87_begin_0, end = var_87_end_0, end_mask = var_87_end_mask_0, x = x_3_cast_fp16)[name = tensor("op_87_cast_fp16")]; - tensor var_88_begin_0 = const()[name = tensor("op_88_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_88_end_0 = const()[name = tensor("op_88_end_0"), val = tensor([1, 3, 384, 384])]; - tensor var_88_end_mask_0 = const()[name = tensor("op_88_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_88_cast_fp16 = slice_by_index(begin = var_88_begin_0, end = var_88_end_0, end_mask = var_88_end_mask_0, x = op_87_cast_fp16)[name = tensor("op_88_cast_fp16")]; - tensor var_90_begin_0 = const()[name = tensor("op_90_begin_0"), val = tensor([0, 0, 0, 288])]; - tensor var_90_end_0 = const()[name = tensor("op_90_end_0"), val = tensor([1, 3, 384, 672])]; - tensor var_90_end_mask_0 = const()[name = tensor("op_90_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_90_cast_fp16 = slice_by_index(begin = var_90_begin_0, end = var_90_end_0, end_mask = var_90_end_mask_0, x = op_87_cast_fp16)[name = tensor("op_90_cast_fp16")]; - tensor var_92_begin_0 = const()[name = tensor("op_92_begin_0"), val = tensor([0, 0, 0, 576])]; - tensor var_92_end_0 = const()[name = tensor("op_92_end_0"), val = tensor([1, 3, 384, 960])]; - tensor var_92_end_mask_0 = const()[name = tensor("op_92_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_92_cast_fp16 = slice_by_index(begin = var_92_begin_0, end = var_92_end_0, end_mask = var_92_end_mask_0, x = op_87_cast_fp16)[name = tensor("op_92_cast_fp16")]; - tensor var_94_begin_0 = const()[name = tensor("op_94_begin_0"), val = tensor([0, 0, 0, 864])]; - tensor var_94_end_0 = const()[name = tensor("op_94_end_0"), val = tensor([1, 3, 384, 1248])]; - tensor var_94_end_mask_0 = const()[name = tensor("op_94_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_94_cast_fp16 = slice_by_index(begin = var_94_begin_0, end = var_94_end_0, end_mask = var_94_end_mask_0, x = op_87_cast_fp16)[name = tensor("op_94_cast_fp16")]; - tensor var_96_begin_0 = const()[name = tensor("op_96_begin_0"), val = tensor([0, 0, 0, 1152])]; - tensor var_96_end_0 = const()[name = tensor("op_96_end_0"), val = tensor([1, 3, 384, 1])]; - tensor var_96_end_mask_0 = const()[name = tensor("op_96_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_96_cast_fp16 = slice_by_index(begin = var_96_begin_0, end = var_96_end_0, end_mask = var_96_end_mask_0, x = op_87_cast_fp16)[name = tensor("op_96_cast_fp16")]; - tensor var_97_begin_0 = const()[name = tensor("op_97_begin_0"), val = tensor([0, 0, 864, 0])]; - tensor var_97_end_0 = const()[name = tensor("op_97_end_0"), val = tensor([1, 3, 1248, 1536])]; - tensor var_97_end_mask_0 = const()[name = tensor("op_97_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_97_cast_fp16 = slice_by_index(begin = var_97_begin_0, end = var_97_end_0, end_mask = var_97_end_mask_0, x = x_3_cast_fp16)[name = tensor("op_97_cast_fp16")]; - tensor var_98_begin_0 = const()[name = tensor("op_98_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_98_end_0 = const()[name = tensor("op_98_end_0"), val = tensor([1, 3, 384, 384])]; - tensor var_98_end_mask_0 = const()[name = tensor("op_98_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_98_cast_fp16 = slice_by_index(begin = var_98_begin_0, end = var_98_end_0, end_mask = var_98_end_mask_0, x = op_97_cast_fp16)[name = tensor("op_98_cast_fp16")]; - tensor var_100_begin_0 = const()[name = tensor("op_100_begin_0"), val = tensor([0, 0, 0, 288])]; - tensor var_100_end_0 = const()[name = tensor("op_100_end_0"), val = tensor([1, 3, 384, 672])]; - tensor var_100_end_mask_0 = const()[name = tensor("op_100_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_100_cast_fp16 = slice_by_index(begin = var_100_begin_0, end = var_100_end_0, end_mask = var_100_end_mask_0, x = op_97_cast_fp16)[name = tensor("op_100_cast_fp16")]; - tensor var_102_begin_0 = const()[name = tensor("op_102_begin_0"), val = tensor([0, 0, 0, 576])]; - tensor var_102_end_0 = const()[name = tensor("op_102_end_0"), val = tensor([1, 3, 384, 960])]; - tensor var_102_end_mask_0 = const()[name = tensor("op_102_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_102_cast_fp16 = slice_by_index(begin = var_102_begin_0, end = var_102_end_0, end_mask = var_102_end_mask_0, x = op_97_cast_fp16)[name = tensor("op_102_cast_fp16")]; - tensor var_104_begin_0 = const()[name = tensor("op_104_begin_0"), val = tensor([0, 0, 0, 864])]; - tensor var_104_end_0 = const()[name = tensor("op_104_end_0"), val = tensor([1, 3, 384, 1248])]; - tensor var_104_end_mask_0 = const()[name = tensor("op_104_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_104_cast_fp16 = slice_by_index(begin = var_104_begin_0, end = var_104_end_0, end_mask = var_104_end_mask_0, x = op_97_cast_fp16)[name = tensor("op_104_cast_fp16")]; - tensor var_106_begin_0 = const()[name = tensor("op_106_begin_0"), val = tensor([0, 0, 0, 1152])]; - tensor var_106_end_0 = const()[name = tensor("op_106_end_0"), val = tensor([1, 3, 384, 1])]; - tensor var_106_end_mask_0 = const()[name = tensor("op_106_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_106_cast_fp16 = slice_by_index(begin = var_106_begin_0, end = var_106_end_0, end_mask = var_106_end_mask_0, x = op_97_cast_fp16)[name = tensor("op_106_cast_fp16")]; - tensor var_107_begin_0 = const()[name = tensor("op_107_begin_0"), val = tensor([0, 0, 1152, 0])]; - tensor var_107_end_0 = const()[name = tensor("op_107_end_0"), val = tensor([1, 3, 1, 1536])]; - tensor var_107_end_mask_0 = const()[name = tensor("op_107_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_107_cast_fp16 = slice_by_index(begin = var_107_begin_0, end = var_107_end_0, end_mask = var_107_end_mask_0, x = x_3_cast_fp16)[name = tensor("op_107_cast_fp16")]; - tensor var_108_begin_0 = const()[name = tensor("op_108_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_108_end_0 = const()[name = tensor("op_108_end_0"), val = tensor([1, 3, 384, 384])]; - tensor var_108_end_mask_0 = const()[name = tensor("op_108_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_108_cast_fp16 = slice_by_index(begin = var_108_begin_0, end = var_108_end_0, end_mask = var_108_end_mask_0, x = op_107_cast_fp16)[name = tensor("op_108_cast_fp16")]; - tensor var_110_begin_0 = const()[name = tensor("op_110_begin_0"), val = tensor([0, 0, 0, 288])]; - tensor var_110_end_0 = const()[name = tensor("op_110_end_0"), val = tensor([1, 3, 384, 672])]; - tensor var_110_end_mask_0 = const()[name = tensor("op_110_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_110_cast_fp16 = slice_by_index(begin = var_110_begin_0, end = var_110_end_0, end_mask = var_110_end_mask_0, x = op_107_cast_fp16)[name = tensor("op_110_cast_fp16")]; - tensor var_112_begin_0 = const()[name = tensor("op_112_begin_0"), val = tensor([0, 0, 0, 576])]; - tensor var_112_end_0 = const()[name = tensor("op_112_end_0"), val = tensor([1, 3, 384, 960])]; - tensor var_112_end_mask_0 = const()[name = tensor("op_112_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_112_cast_fp16 = slice_by_index(begin = var_112_begin_0, end = var_112_end_0, end_mask = var_112_end_mask_0, x = op_107_cast_fp16)[name = tensor("op_112_cast_fp16")]; - tensor var_114_begin_0 = const()[name = tensor("op_114_begin_0"), val = tensor([0, 0, 0, 864])]; - tensor var_114_end_0 = const()[name = tensor("op_114_end_0"), val = tensor([1, 3, 384, 1248])]; - tensor var_114_end_mask_0 = const()[name = tensor("op_114_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_114_cast_fp16 = slice_by_index(begin = var_114_begin_0, end = var_114_end_0, end_mask = var_114_end_mask_0, x = op_107_cast_fp16)[name = tensor("op_114_cast_fp16")]; - tensor var_116_begin_0 = const()[name = tensor("op_116_begin_0"), val = tensor([0, 0, 0, 1152])]; - tensor var_116_end_0 = const()[name = tensor("op_116_end_0"), val = tensor([1, 3, 384, 1])]; - tensor var_116_end_mask_0 = const()[name = tensor("op_116_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_116_cast_fp16 = slice_by_index(begin = var_116_begin_0, end = var_116_end_0, end_mask = var_116_end_mask_0, x = op_107_cast_fp16)[name = tensor("op_116_cast_fp16")]; - tensor x0_patches_interleave_0 = const()[name = tensor("x0_patches_interleave_0"), val = tensor(false)]; - tensor x0_patches_cast_fp16 = concat(axis = var_6, interleave = x0_patches_interleave_0, values = (op_68_cast_fp16, op_70_cast_fp16, op_72_cast_fp16, op_74_cast_fp16, op_76_cast_fp16, op_78_cast_fp16, op_80_cast_fp16, op_82_cast_fp16, op_84_cast_fp16, op_86_cast_fp16, op_88_cast_fp16, op_90_cast_fp16, op_92_cast_fp16, op_94_cast_fp16, op_96_cast_fp16, op_98_cast_fp16, op_100_cast_fp16, op_102_cast_fp16, op_104_cast_fp16, op_106_cast_fp16, op_108_cast_fp16, op_110_cast_fp16, op_112_cast_fp16, op_114_cast_fp16, op_116_cast_fp16))[name = tensor("x0_patches_cast_fp16")]; - tensor var_119_begin_0 = const()[name = tensor("op_119_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_119_end_0 = const()[name = tensor("op_119_end_0"), val = tensor([1, 3, 384, 768])]; - tensor var_119_end_mask_0 = const()[name = tensor("op_119_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_119_cast_fp16 = slice_by_index(begin = var_119_begin_0, end = var_119_end_0, end_mask = var_119_end_mask_0, x = image_3_cast_fp16)[name = tensor("op_119_cast_fp16")]; - tensor var_120_begin_0 = const()[name = tensor("op_120_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_120_end_0 = const()[name = tensor("op_120_end_0"), val = tensor([1, 3, 384, 384])]; - tensor var_120_end_mask_0 = const()[name = tensor("op_120_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_120_cast_fp16 = slice_by_index(begin = var_120_begin_0, end = var_120_end_0, end_mask = var_120_end_mask_0, x = op_119_cast_fp16)[name = tensor("op_120_cast_fp16")]; - tensor var_122_begin_0 = const()[name = tensor("op_122_begin_0"), val = tensor([0, 0, 0, 192])]; - tensor var_122_end_0 = const()[name = tensor("op_122_end_0"), val = tensor([1, 3, 384, 576])]; - tensor var_122_end_mask_0 = const()[name = tensor("op_122_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_122_cast_fp16 = slice_by_index(begin = var_122_begin_0, end = var_122_end_0, end_mask = var_122_end_mask_0, x = op_119_cast_fp16)[name = tensor("op_122_cast_fp16")]; - tensor var_124_begin_0 = const()[name = tensor("op_124_begin_0"), val = tensor([0, 0, 0, 384])]; - tensor var_124_end_0 = const()[name = tensor("op_124_end_0"), val = tensor([1, 3, 384, 1])]; - tensor var_124_end_mask_0 = const()[name = tensor("op_124_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_124_cast_fp16 = slice_by_index(begin = var_124_begin_0, end = var_124_end_0, end_mask = var_124_end_mask_0, x = op_119_cast_fp16)[name = tensor("op_124_cast_fp16")]; - tensor var_125_begin_0 = const()[name = tensor("op_125_begin_0"), val = tensor([0, 0, 192, 0])]; - tensor var_125_end_0 = const()[name = tensor("op_125_end_0"), val = tensor([1, 3, 576, 768])]; - tensor var_125_end_mask_0 = const()[name = tensor("op_125_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_125_cast_fp16 = slice_by_index(begin = var_125_begin_0, end = var_125_end_0, end_mask = var_125_end_mask_0, x = image_3_cast_fp16)[name = tensor("op_125_cast_fp16")]; - tensor var_126_begin_0 = const()[name = tensor("op_126_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_126_end_0 = const()[name = tensor("op_126_end_0"), val = tensor([1, 3, 384, 384])]; - tensor var_126_end_mask_0 = const()[name = tensor("op_126_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_126_cast_fp16 = slice_by_index(begin = var_126_begin_0, end = var_126_end_0, end_mask = var_126_end_mask_0, x = op_125_cast_fp16)[name = tensor("op_126_cast_fp16")]; - tensor var_128_begin_0 = const()[name = tensor("op_128_begin_0"), val = tensor([0, 0, 0, 192])]; - tensor var_128_end_0 = const()[name = tensor("op_128_end_0"), val = tensor([1, 3, 384, 576])]; - tensor var_128_end_mask_0 = const()[name = tensor("op_128_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_128_cast_fp16 = slice_by_index(begin = var_128_begin_0, end = var_128_end_0, end_mask = var_128_end_mask_0, x = op_125_cast_fp16)[name = tensor("op_128_cast_fp16")]; - tensor var_130_begin_0 = const()[name = tensor("op_130_begin_0"), val = tensor([0, 0, 0, 384])]; - tensor var_130_end_0 = const()[name = tensor("op_130_end_0"), val = tensor([1, 3, 384, 1])]; - tensor var_130_end_mask_0 = const()[name = tensor("op_130_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_130_cast_fp16 = slice_by_index(begin = var_130_begin_0, end = var_130_end_0, end_mask = var_130_end_mask_0, x = op_125_cast_fp16)[name = tensor("op_130_cast_fp16")]; - tensor var_131_begin_0 = const()[name = tensor("op_131_begin_0"), val = tensor([0, 0, 384, 0])]; - tensor var_131_end_0 = const()[name = tensor("op_131_end_0"), val = tensor([1, 3, 1, 768])]; - tensor var_131_end_mask_0 = const()[name = tensor("op_131_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_131_cast_fp16 = slice_by_index(begin = var_131_begin_0, end = var_131_end_0, end_mask = var_131_end_mask_0, x = image_3_cast_fp16)[name = tensor("op_131_cast_fp16")]; - tensor var_132_begin_0 = const()[name = tensor("op_132_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_132_end_0 = const()[name = tensor("op_132_end_0"), val = tensor([1, 3, 384, 384])]; - tensor var_132_end_mask_0 = const()[name = tensor("op_132_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_132_cast_fp16 = slice_by_index(begin = var_132_begin_0, end = var_132_end_0, end_mask = var_132_end_mask_0, x = op_131_cast_fp16)[name = tensor("op_132_cast_fp16")]; - tensor var_134_begin_0 = const()[name = tensor("op_134_begin_0"), val = tensor([0, 0, 0, 192])]; - tensor var_134_end_0 = const()[name = tensor("op_134_end_0"), val = tensor([1, 3, 384, 576])]; - tensor var_134_end_mask_0 = const()[name = tensor("op_134_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_134_cast_fp16 = slice_by_index(begin = var_134_begin_0, end = var_134_end_0, end_mask = var_134_end_mask_0, x = op_131_cast_fp16)[name = tensor("op_134_cast_fp16")]; - tensor var_136_begin_0 = const()[name = tensor("op_136_begin_0"), val = tensor([0, 0, 0, 384])]; - tensor var_136_end_0 = const()[name = tensor("op_136_end_0"), val = tensor([1, 3, 384, 1])]; - tensor var_136_end_mask_0 = const()[name = tensor("op_136_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_136_cast_fp16 = slice_by_index(begin = var_136_begin_0, end = var_136_end_0, end_mask = var_136_end_mask_0, x = op_131_cast_fp16)[name = tensor("op_136_cast_fp16")]; - tensor x_5_interleave_0 = const()[name = tensor("x_5_interleave_0"), val = tensor(false)]; - tensor x_5_cast_fp16 = concat(axis = var_6, interleave = x_5_interleave_0, values = (x0_patches_cast_fp16, op_120_cast_fp16, op_122_cast_fp16, op_124_cast_fp16, op_126_cast_fp16, op_128_cast_fp16, op_130_cast_fp16, op_132_cast_fp16, op_134_cast_fp16, op_136_cast_fp16, x2_cast_fp16))[name = tensor("x_5_cast_fp16")]; - tensor x_7_pad_type_0 = const()[name = tensor("x_7_pad_type_0"), val = tensor("valid")]; - tensor x_7_strides_0 = const()[name = tensor("x_7_strides_0"), val = tensor([16, 16])]; - tensor x_7_pad_0 = const()[name = tensor("x_7_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor x_7_dilations_0 = const()[name = tensor("x_7_dilations_0"), val = tensor([1, 1])]; - tensor x_7_groups_0 = const()[name = tensor("x_7_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_patch_embed_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_patch_embed_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(64)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_patch_embed_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_patch_embed_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1572992)))]; - tensor x_7_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_patch_embed_proj_bias_to_fp16, dilations = x_7_dilations_0, groups = x_7_groups_0, pad = x_7_pad_0, pad_type = x_7_pad_type_0, strides = x_7_strides_0, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_patch_embed_proj_weight_to_fp16, x = x_5_cast_fp16)[name = tensor("x_7_cast_fp16")]; - tensor concat_0 = const()[name = tensor("concat_0"), val = tensor([35, 1024, 576])]; - tensor op_201_cast_fp16 = reshape(shape = concat_0, x = x_7_cast_fp16)[name = tensor("op_201_cast_fp16")]; - tensor x_9_perm_0 = const()[name = tensor("x_9_perm_0"), val = tensor([0, 2, 1])]; - tensor x_11_interleave_0 = const()[name = tensor("x_11_interleave_0"), val = tensor(false)]; - tensor var_205_to_fp16 = const()[name = tensor("var_205_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1575104)))]; - tensor transpose_105_cast_fp16 = transpose(perm = x_9_perm_0, x = op_201_cast_fp16)[name = tensor("transpose_105")]; - tensor x_11_cast_fp16 = concat(axis = var_41, interleave = x_11_interleave_0, values = (var_205_to_fp16, transpose_105_cast_fp16))[name = tensor("x_11_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_pos_embed_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_pos_embed_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1646848)))]; - tensor input_1_cast_fp16 = add(x = x_11_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_pos_embed_to_fp16)[name = tensor("input_1_cast_fp16")]; - tensor x_13_axes_0 = const()[name = tensor("x_13_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2828608)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2830720)))]; - tensor var_26_to_fp16 = const()[name = tensor("var_26_to_fp16"), val = tensor(0x1.1p-20)]; - tensor x_13_cast_fp16 = layer_norm(axes = x_13_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_norm1_weight_to_fp16, x = input_1_cast_fp16)[name = tensor("x_13_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2832832)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9124352)))]; - tensor linear_0_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_attn_qkv_weight_to_fp16, x = x_13_cast_fp16)[name = tensor("linear_0_cast_fp16")]; - tensor var_228 = const()[name = tensor("op_228"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_229_cast_fp16 = reshape(shape = var_228, x = linear_0_cast_fp16)[name = tensor("op_229_cast_fp16")]; - tensor var_230 = const()[name = tensor("op_230"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_232_split_sizes_0 = const()[name = tensor("op_232_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_232_axis_0 = const()[name = tensor("op_232_axis_0"), val = tensor(0)]; - tensor transpose_104_cast_fp16 = transpose(perm = var_230, x = op_229_cast_fp16)[name = tensor("transpose_104")]; - tensor op_232_cast_fp16_0, tensor op_232_cast_fp16_1, tensor op_232_cast_fp16_2 = split(axis = var_232_axis_0, split_sizes = var_232_split_sizes_0, x = transpose_104_cast_fp16)[name = tensor("op_232_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 = op_232_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 = op_232_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 = op_232_cast_fp16_2)[name = tensor("squeeze_2_cast_fp16")]; - tensor mul_0_y_0_to_fp16 = const()[name = tensor("mul_0_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_0_cast_fp16 = mul(x = squeeze_0_cast_fp16, y = mul_0_y_0_to_fp16)[name = tensor("mul_0_cast_fp16")]; - tensor matmul_0_transpose_y_0 = const()[name = tensor("matmul_0_transpose_y_0"), val = tensor(true)]; - tensor matmul_0_transpose_x_0 = const()[name = tensor("matmul_0_transpose_x_0"), val = tensor(false)]; - tensor matmul_0_cast_fp16 = matmul(transpose_x = matmul_0_transpose_x_0, transpose_y = matmul_0_transpose_y_0, x = mul_0_cast_fp16, y = squeeze_1_cast_fp16)[name = tensor("matmul_0_cast_fp16")]; - tensor softmax_0_axis_0 = const()[name = tensor("softmax_0_axis_0"), val = tensor(-1)]; - tensor softmax_0_cast_fp16 = softmax(axis = softmax_0_axis_0, x = matmul_0_cast_fp16)[name = tensor("softmax_0_cast_fp16")]; - tensor x_15_transpose_x_0 = const()[name = tensor("x_15_transpose_x_0"), val = tensor(false)]; - tensor x_15_transpose_y_0 = const()[name = tensor("x_15_transpose_y_0"), val = tensor(false)]; - tensor x_15_cast_fp16 = matmul(transpose_x = x_15_transpose_x_0, transpose_y = x_15_transpose_y_0, x = softmax_0_cast_fp16, y = squeeze_2_cast_fp16)[name = tensor("x_15_cast_fp16")]; - tensor var_237_perm_0 = const()[name = tensor("op_237_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_238 = const()[name = tensor("op_238"), val = tensor([35, 577, 1024])]; - tensor transpose_103_cast_fp16 = transpose(perm = var_237_perm_0, x = x_15_cast_fp16)[name = tensor("transpose_103")]; - tensor input_5_cast_fp16 = reshape(shape = var_238, x = transpose_103_cast_fp16)[name = tensor("input_5_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(9130560)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11227776)))]; - tensor linear_1_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_attn_proj_weight_to_fp16, x = input_5_cast_fp16)[name = tensor("linear_1_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11229888)))]; - tensor op_245_cast_fp16 = mul(x = linear_1_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_ls1_gamma_to_fp16)[name = tensor("op_245_cast_fp16")]; - tensor input_9_cast_fp16 = add(x = input_1_cast_fp16, y = op_245_cast_fp16)[name = tensor("input_9_cast_fp16")]; - tensor input_11_axes_0 = const()[name = tensor("input_11_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11232000)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11234112)))]; - tensor input_11_cast_fp16 = layer_norm(axes = input_11_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_norm2_weight_to_fp16, x = input_9_cast_fp16)[name = tensor("input_11_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(11236224)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(19624896)))]; - tensor linear_2_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_mlp_fc1_weight_to_fp16, x = input_11_cast_fp16)[name = tensor("linear_2_cast_fp16")]; - tensor input_15_mode_0 = const()[name = tensor("input_15_mode_0"), val = tensor("EXACT")]; - tensor input_15_cast_fp16 = gelu(mode = input_15_mode_0, x = linear_2_cast_fp16)[name = tensor("input_15_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(19633152)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(28021824)))]; - tensor linear_3_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_mlp_fc2_weight_to_fp16, x = input_15_cast_fp16)[name = tensor("linear_3_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(28023936)))]; - tensor op_263_cast_fp16 = mul(x = linear_3_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_ls2_gamma_to_fp16)[name = tensor("op_263_cast_fp16")]; - tensor input_21_cast_fp16 = add(x = input_9_cast_fp16, y = op_263_cast_fp16)[name = tensor("input_21_cast_fp16")]; - tensor x_21_axes_0 = const()[name = tensor("x_21_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(28026048)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(28028160)))]; - tensor x_21_cast_fp16 = layer_norm(axes = x_21_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_norm1_weight_to_fp16, x = input_21_cast_fp16)[name = tensor("x_21_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(28030272)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(34321792)))]; - tensor linear_4_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_attn_qkv_weight_to_fp16, x = x_21_cast_fp16)[name = tensor("linear_4_cast_fp16")]; - tensor var_283 = const()[name = tensor("op_283"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_284_cast_fp16 = reshape(shape = var_283, x = linear_4_cast_fp16)[name = tensor("op_284_cast_fp16")]; - tensor var_285 = const()[name = tensor("op_285"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_287_split_sizes_0 = const()[name = tensor("op_287_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_287_axis_0 = const()[name = tensor("op_287_axis_0"), val = tensor(0)]; - tensor transpose_102_cast_fp16 = transpose(perm = var_285, x = op_284_cast_fp16)[name = tensor("transpose_102")]; - tensor op_287_cast_fp16_0, tensor op_287_cast_fp16_1, tensor op_287_cast_fp16_2 = split(axis = var_287_axis_0, split_sizes = var_287_split_sizes_0, x = transpose_102_cast_fp16)[name = tensor("op_287_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 = op_287_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 = op_287_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 = op_287_cast_fp16_2)[name = tensor("squeeze_5_cast_fp16")]; - tensor mul_1_y_0_to_fp16 = const()[name = tensor("mul_1_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_1_cast_fp16 = mul(x = squeeze_3_cast_fp16, y = mul_1_y_0_to_fp16)[name = tensor("mul_1_cast_fp16")]; - tensor matmul_1_transpose_y_0 = const()[name = tensor("matmul_1_transpose_y_0"), val = tensor(true)]; - tensor matmul_1_transpose_x_0 = const()[name = tensor("matmul_1_transpose_x_0"), val = tensor(false)]; - tensor matmul_1_cast_fp16 = matmul(transpose_x = matmul_1_transpose_x_0, transpose_y = matmul_1_transpose_y_0, x = mul_1_cast_fp16, y = squeeze_4_cast_fp16)[name = tensor("matmul_1_cast_fp16")]; - tensor softmax_1_axis_0 = const()[name = tensor("softmax_1_axis_0"), val = tensor(-1)]; - tensor softmax_1_cast_fp16 = softmax(axis = softmax_1_axis_0, x = matmul_1_cast_fp16)[name = tensor("softmax_1_cast_fp16")]; - tensor x_23_transpose_x_0 = const()[name = tensor("x_23_transpose_x_0"), val = tensor(false)]; - tensor x_23_transpose_y_0 = const()[name = tensor("x_23_transpose_y_0"), val = tensor(false)]; - tensor x_23_cast_fp16 = matmul(transpose_x = x_23_transpose_x_0, transpose_y = x_23_transpose_y_0, x = softmax_1_cast_fp16, y = squeeze_5_cast_fp16)[name = tensor("x_23_cast_fp16")]; - tensor var_292_perm_0 = const()[name = tensor("op_292_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_293 = const()[name = tensor("op_293"), val = tensor([35, 577, 1024])]; - tensor transpose_101_cast_fp16 = transpose(perm = var_292_perm_0, x = x_23_cast_fp16)[name = tensor("transpose_101")]; - tensor input_23_cast_fp16 = reshape(shape = var_293, x = transpose_101_cast_fp16)[name = tensor("input_23_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(34328000)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36425216)))]; - tensor linear_5_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_attn_proj_weight_to_fp16, x = input_23_cast_fp16)[name = tensor("linear_5_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36427328)))]; - tensor op_300_cast_fp16 = mul(x = linear_5_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_ls1_gamma_to_fp16)[name = tensor("op_300_cast_fp16")]; - tensor input_27_cast_fp16 = add(x = input_21_cast_fp16, y = op_300_cast_fp16)[name = tensor("input_27_cast_fp16")]; - tensor input_29_axes_0 = const()[name = tensor("input_29_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36429440)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36431552)))]; - tensor input_29_cast_fp16 = layer_norm(axes = input_29_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_norm2_weight_to_fp16, x = input_27_cast_fp16)[name = tensor("input_29_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(36433664)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44822336)))]; - tensor linear_6_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_mlp_fc1_weight_to_fp16, x = input_29_cast_fp16)[name = tensor("linear_6_cast_fp16")]; - tensor input_33_mode_0 = const()[name = tensor("input_33_mode_0"), val = tensor("EXACT")]; - tensor input_33_cast_fp16 = gelu(mode = input_33_mode_0, x = linear_6_cast_fp16)[name = tensor("input_33_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(44830592)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53219264)))]; - tensor linear_7_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_mlp_fc2_weight_to_fp16, x = input_33_cast_fp16)[name = tensor("linear_7_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53221376)))]; - tensor op_318_cast_fp16 = mul(x = linear_7_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_ls2_gamma_to_fp16)[name = tensor("op_318_cast_fp16")]; - tensor input_39_cast_fp16 = add(x = input_27_cast_fp16, y = op_318_cast_fp16)[name = tensor("input_39_cast_fp16")]; - tensor x_29_axes_0 = const()[name = tensor("x_29_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53223488)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53225600)))]; - tensor x_29_cast_fp16 = layer_norm(axes = x_29_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_norm1_weight_to_fp16, x = input_39_cast_fp16)[name = tensor("x_29_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53227712)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59519232)))]; - tensor linear_8_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_attn_qkv_weight_to_fp16, x = x_29_cast_fp16)[name = tensor("linear_8_cast_fp16")]; - tensor var_338 = const()[name = tensor("op_338"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_339_cast_fp16 = reshape(shape = var_338, x = linear_8_cast_fp16)[name = tensor("op_339_cast_fp16")]; - tensor var_340 = const()[name = tensor("op_340"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_342_split_sizes_0 = const()[name = tensor("op_342_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_342_axis_0 = const()[name = tensor("op_342_axis_0"), val = tensor(0)]; - tensor transpose_100_cast_fp16 = transpose(perm = var_340, x = op_339_cast_fp16)[name = tensor("transpose_100")]; - tensor op_342_cast_fp16_0, tensor op_342_cast_fp16_1, tensor op_342_cast_fp16_2 = split(axis = var_342_axis_0, split_sizes = var_342_split_sizes_0, x = transpose_100_cast_fp16)[name = tensor("op_342_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 = op_342_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 = op_342_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 = op_342_cast_fp16_2)[name = tensor("squeeze_8_cast_fp16")]; - tensor mul_2_y_0_to_fp16 = const()[name = tensor("mul_2_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_2_cast_fp16 = mul(x = squeeze_6_cast_fp16, y = mul_2_y_0_to_fp16)[name = tensor("mul_2_cast_fp16")]; - tensor matmul_2_transpose_y_0 = const()[name = tensor("matmul_2_transpose_y_0"), val = tensor(true)]; - tensor matmul_2_transpose_x_0 = const()[name = tensor("matmul_2_transpose_x_0"), val = tensor(false)]; - tensor matmul_2_cast_fp16 = matmul(transpose_x = matmul_2_transpose_x_0, transpose_y = matmul_2_transpose_y_0, x = mul_2_cast_fp16, y = squeeze_7_cast_fp16)[name = tensor("matmul_2_cast_fp16")]; - tensor softmax_2_axis_0 = const()[name = tensor("softmax_2_axis_0"), val = tensor(-1)]; - tensor softmax_2_cast_fp16 = softmax(axis = softmax_2_axis_0, x = matmul_2_cast_fp16)[name = tensor("softmax_2_cast_fp16")]; - tensor x_31_transpose_x_0 = const()[name = tensor("x_31_transpose_x_0"), val = tensor(false)]; - tensor x_31_transpose_y_0 = const()[name = tensor("x_31_transpose_y_0"), val = tensor(false)]; - tensor x_31_cast_fp16 = matmul(transpose_x = x_31_transpose_x_0, transpose_y = x_31_transpose_y_0, x = softmax_2_cast_fp16, y = squeeze_8_cast_fp16)[name = tensor("x_31_cast_fp16")]; - tensor var_347_perm_0 = const()[name = tensor("op_347_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_348 = const()[name = tensor("op_348"), val = tensor([35, 577, 1024])]; - tensor transpose_99_cast_fp16 = transpose(perm = var_347_perm_0, x = x_31_cast_fp16)[name = tensor("transpose_99")]; - tensor input_41_cast_fp16 = reshape(shape = var_348, x = transpose_99_cast_fp16)[name = tensor("input_41_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(59525440)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61622656)))]; - tensor linear_9_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_attn_proj_weight_to_fp16, x = input_41_cast_fp16)[name = tensor("linear_9_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61624768)))]; - tensor op_355_cast_fp16 = mul(x = linear_9_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_ls1_gamma_to_fp16)[name = tensor("op_355_cast_fp16")]; - tensor input_45_cast_fp16 = add(x = input_39_cast_fp16, y = op_355_cast_fp16)[name = tensor("input_45_cast_fp16")]; - tensor input_47_axes_0 = const()[name = tensor("input_47_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61626880)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61628992)))]; - tensor input_47_cast_fp16 = layer_norm(axes = input_47_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_norm2_weight_to_fp16, x = input_45_cast_fp16)[name = tensor("input_47_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(61631104)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(70019776)))]; - tensor linear_10_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_mlp_fc1_weight_to_fp16, x = input_47_cast_fp16)[name = tensor("linear_10_cast_fp16")]; - tensor input_51_mode_0 = const()[name = tensor("input_51_mode_0"), val = tensor("EXACT")]; - tensor input_51_cast_fp16 = gelu(mode = input_51_mode_0, x = linear_10_cast_fp16)[name = tensor("input_51_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(70028032)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(78416704)))]; - tensor linear_11_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_mlp_fc2_weight_to_fp16, x = input_51_cast_fp16)[name = tensor("linear_11_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(78418816)))]; - tensor op_373_cast_fp16 = mul(x = linear_11_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_ls2_gamma_to_fp16)[name = tensor("op_373_cast_fp16")]; - tensor input_57_cast_fp16 = add(x = input_45_cast_fp16, y = op_373_cast_fp16)[name = tensor("input_57_cast_fp16")]; - tensor x_37_axes_0 = const()[name = tensor("x_37_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(78420928)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(78423040)))]; - tensor x_37_cast_fp16 = layer_norm(axes = x_37_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_norm1_weight_to_fp16, x = input_57_cast_fp16)[name = tensor("x_37_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(78425152)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(84716672)))]; - tensor linear_12_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_attn_qkv_weight_to_fp16, x = x_37_cast_fp16)[name = tensor("linear_12_cast_fp16")]; - tensor var_393 = const()[name = tensor("op_393"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_394_cast_fp16 = reshape(shape = var_393, x = linear_12_cast_fp16)[name = tensor("op_394_cast_fp16")]; - tensor var_395 = const()[name = tensor("op_395"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_397_split_sizes_0 = const()[name = tensor("op_397_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_397_axis_0 = const()[name = tensor("op_397_axis_0"), val = tensor(0)]; - tensor transpose_98_cast_fp16 = transpose(perm = var_395, x = op_394_cast_fp16)[name = tensor("transpose_98")]; - tensor op_397_cast_fp16_0, tensor op_397_cast_fp16_1, tensor op_397_cast_fp16_2 = split(axis = var_397_axis_0, split_sizes = var_397_split_sizes_0, x = transpose_98_cast_fp16)[name = tensor("op_397_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 = op_397_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 = op_397_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 = op_397_cast_fp16_2)[name = tensor("squeeze_11_cast_fp16")]; - tensor mul_3_y_0_to_fp16 = const()[name = tensor("mul_3_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_3_cast_fp16 = mul(x = squeeze_9_cast_fp16, y = mul_3_y_0_to_fp16)[name = tensor("mul_3_cast_fp16")]; - tensor matmul_3_transpose_y_0 = const()[name = tensor("matmul_3_transpose_y_0"), val = tensor(true)]; - tensor matmul_3_transpose_x_0 = const()[name = tensor("matmul_3_transpose_x_0"), val = tensor(false)]; - tensor matmul_3_cast_fp16 = matmul(transpose_x = matmul_3_transpose_x_0, transpose_y = matmul_3_transpose_y_0, x = mul_3_cast_fp16, y = squeeze_10_cast_fp16)[name = tensor("matmul_3_cast_fp16")]; - tensor softmax_3_axis_0 = const()[name = tensor("softmax_3_axis_0"), val = tensor(-1)]; - tensor softmax_3_cast_fp16 = softmax(axis = softmax_3_axis_0, x = matmul_3_cast_fp16)[name = tensor("softmax_3_cast_fp16")]; - tensor x_39_transpose_x_0 = const()[name = tensor("x_39_transpose_x_0"), val = tensor(false)]; - tensor x_39_transpose_y_0 = const()[name = tensor("x_39_transpose_y_0"), val = tensor(false)]; - tensor x_39_cast_fp16 = matmul(transpose_x = x_39_transpose_x_0, transpose_y = x_39_transpose_y_0, x = softmax_3_cast_fp16, y = squeeze_11_cast_fp16)[name = tensor("x_39_cast_fp16")]; - tensor var_402_perm_0 = const()[name = tensor("op_402_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_403 = const()[name = tensor("op_403"), val = tensor([35, 577, 1024])]; - tensor transpose_97_cast_fp16 = transpose(perm = var_402_perm_0, x = x_39_cast_fp16)[name = tensor("transpose_97")]; - tensor input_59_cast_fp16 = reshape(shape = var_403, x = transpose_97_cast_fp16)[name = tensor("input_59_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(84722880)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(86820096)))]; - tensor linear_13_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_attn_proj_weight_to_fp16, x = input_59_cast_fp16)[name = tensor("linear_13_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(86822208)))]; - tensor op_410_cast_fp16 = mul(x = linear_13_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_ls1_gamma_to_fp16)[name = tensor("op_410_cast_fp16")]; - tensor input_63_cast_fp16 = add(x = input_57_cast_fp16, y = op_410_cast_fp16)[name = tensor("input_63_cast_fp16")]; - tensor input_65_axes_0 = const()[name = tensor("input_65_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(86824320)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(86826432)))]; - tensor input_65_cast_fp16 = layer_norm(axes = input_65_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_norm2_weight_to_fp16, x = input_63_cast_fp16)[name = tensor("input_65_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(86828544)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(95217216)))]; - tensor linear_14_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_mlp_fc1_weight_to_fp16, x = input_65_cast_fp16)[name = tensor("linear_14_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 = linear_14_cast_fp16)[name = tensor("input_69_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(95225472)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(103614144)))]; - tensor linear_15_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_mlp_fc2_weight_to_fp16, x = input_69_cast_fp16)[name = tensor("linear_15_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(103616256)))]; - tensor op_428_cast_fp16 = mul(x = linear_15_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_ls2_gamma_to_fp16)[name = tensor("op_428_cast_fp16")]; - tensor input_75_cast_fp16 = add(x = input_63_cast_fp16, y = op_428_cast_fp16)[name = tensor("input_75_cast_fp16")]; - tensor x_45_axes_0 = const()[name = tensor("x_45_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(103618368)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(103620480)))]; - tensor x_45_cast_fp16 = layer_norm(axes = x_45_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_norm1_weight_to_fp16, x = input_75_cast_fp16)[name = tensor("x_45_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(103622592)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(109914112)))]; - tensor linear_16_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_attn_qkv_weight_to_fp16, x = x_45_cast_fp16)[name = tensor("linear_16_cast_fp16")]; - tensor var_448 = const()[name = tensor("op_448"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_449_cast_fp16 = reshape(shape = var_448, x = linear_16_cast_fp16)[name = tensor("op_449_cast_fp16")]; - tensor var_450 = const()[name = tensor("op_450"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_452_split_sizes_0 = const()[name = tensor("op_452_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_452_axis_0 = const()[name = tensor("op_452_axis_0"), val = tensor(0)]; - tensor transpose_96_cast_fp16 = transpose(perm = var_450, x = op_449_cast_fp16)[name = tensor("transpose_96")]; - tensor op_452_cast_fp16_0, tensor op_452_cast_fp16_1, tensor op_452_cast_fp16_2 = split(axis = var_452_axis_0, split_sizes = var_452_split_sizes_0, x = transpose_96_cast_fp16)[name = tensor("op_452_cast_fp16")]; - tensor squeeze_12_axes_0 = const()[name = tensor("squeeze_12_axes_0"), val = tensor([0])]; - tensor squeeze_12_cast_fp16 = squeeze(axes = squeeze_12_axes_0, x = op_452_cast_fp16_0)[name = tensor("squeeze_12_cast_fp16")]; - tensor squeeze_13_axes_0 = const()[name = tensor("squeeze_13_axes_0"), val = tensor([0])]; - tensor squeeze_13_cast_fp16 = squeeze(axes = squeeze_13_axes_0, x = op_452_cast_fp16_1)[name = tensor("squeeze_13_cast_fp16")]; - tensor squeeze_14_axes_0 = const()[name = tensor("squeeze_14_axes_0"), val = tensor([0])]; - tensor squeeze_14_cast_fp16 = squeeze(axes = squeeze_14_axes_0, x = op_452_cast_fp16_2)[name = tensor("squeeze_14_cast_fp16")]; - tensor mul_4_y_0_to_fp16 = const()[name = tensor("mul_4_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_4_cast_fp16 = mul(x = squeeze_12_cast_fp16, y = mul_4_y_0_to_fp16)[name = tensor("mul_4_cast_fp16")]; - tensor matmul_4_transpose_y_0 = const()[name = tensor("matmul_4_transpose_y_0"), val = tensor(true)]; - tensor matmul_4_transpose_x_0 = const()[name = tensor("matmul_4_transpose_x_0"), val = tensor(false)]; - tensor matmul_4_cast_fp16 = matmul(transpose_x = matmul_4_transpose_x_0, transpose_y = matmul_4_transpose_y_0, x = mul_4_cast_fp16, y = squeeze_13_cast_fp16)[name = tensor("matmul_4_cast_fp16")]; - tensor softmax_4_axis_0 = const()[name = tensor("softmax_4_axis_0"), val = tensor(-1)]; - tensor softmax_4_cast_fp16 = softmax(axis = softmax_4_axis_0, x = matmul_4_cast_fp16)[name = tensor("softmax_4_cast_fp16")]; - tensor x_47_transpose_x_0 = const()[name = tensor("x_47_transpose_x_0"), val = tensor(false)]; - tensor x_47_transpose_y_0 = const()[name = tensor("x_47_transpose_y_0"), val = tensor(false)]; - tensor x_47_cast_fp16 = matmul(transpose_x = x_47_transpose_x_0, transpose_y = x_47_transpose_y_0, x = softmax_4_cast_fp16, y = squeeze_14_cast_fp16)[name = tensor("x_47_cast_fp16")]; - tensor var_457_perm_0 = const()[name = tensor("op_457_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_458 = const()[name = tensor("op_458"), val = tensor([35, 577, 1024])]; - tensor transpose_95_cast_fp16 = transpose(perm = var_457_perm_0, x = x_47_cast_fp16)[name = tensor("transpose_95")]; - tensor input_77_cast_fp16 = reshape(shape = var_458, x = transpose_95_cast_fp16)[name = tensor("input_77_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(109920320)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(112017536)))]; - tensor linear_17_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_attn_proj_weight_to_fp16, x = input_77_cast_fp16)[name = tensor("linear_17_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(112019648)))]; - tensor op_465_cast_fp16 = mul(x = linear_17_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_ls1_gamma_to_fp16)[name = tensor("op_465_cast_fp16")]; - tensor input_81_cast_fp16 = add(x = input_75_cast_fp16, y = op_465_cast_fp16)[name = tensor("input_81_cast_fp16")]; - tensor input_83_axes_0 = const()[name = tensor("input_83_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(112021760)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(112023872)))]; - tensor input_83_cast_fp16 = layer_norm(axes = input_83_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_norm2_weight_to_fp16, x = input_81_cast_fp16)[name = tensor("input_83_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(112025984)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(120414656)))]; - tensor linear_18_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_mlp_fc1_weight_to_fp16, x = input_83_cast_fp16)[name = tensor("linear_18_cast_fp16")]; - tensor input_87_mode_0 = const()[name = tensor("input_87_mode_0"), val = tensor("EXACT")]; - tensor input_87_cast_fp16 = gelu(mode = input_87_mode_0, x = linear_18_cast_fp16)[name = tensor("input_87_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(120422912)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(128811584)))]; - tensor linear_19_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_mlp_fc2_weight_to_fp16, x = input_87_cast_fp16)[name = tensor("linear_19_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(128813696)))]; - tensor op_483_cast_fp16 = mul(x = linear_19_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_ls2_gamma_to_fp16)[name = tensor("op_483_cast_fp16")]; - tensor input_93_cast_fp16 = add(x = input_81_cast_fp16, y = op_483_cast_fp16)[name = tensor("input_93_cast_fp16")]; - tensor x_53_axes_0 = const()[name = tensor("x_53_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(128815808)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(128817920)))]; - tensor x_53_cast_fp16 = layer_norm(axes = x_53_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_norm1_weight_to_fp16, x = input_93_cast_fp16)[name = tensor("x_53_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(128820032)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(135111552)))]; - tensor linear_20_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_attn_qkv_weight_to_fp16, x = x_53_cast_fp16)[name = tensor("linear_20_cast_fp16")]; - tensor var_503 = const()[name = tensor("op_503"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_504_cast_fp16 = reshape(shape = var_503, x = linear_20_cast_fp16)[name = tensor("op_504_cast_fp16")]; - tensor var_505 = const()[name = tensor("op_505"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_507_split_sizes_0 = const()[name = tensor("op_507_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_507_axis_0 = const()[name = tensor("op_507_axis_0"), val = tensor(0)]; - tensor transpose_94_cast_fp16 = transpose(perm = var_505, x = op_504_cast_fp16)[name = tensor("transpose_94")]; - tensor op_507_cast_fp16_0, tensor op_507_cast_fp16_1, tensor op_507_cast_fp16_2 = split(axis = var_507_axis_0, split_sizes = var_507_split_sizes_0, x = transpose_94_cast_fp16)[name = tensor("op_507_cast_fp16")]; - tensor squeeze_15_axes_0 = const()[name = tensor("squeeze_15_axes_0"), val = tensor([0])]; - tensor squeeze_15_cast_fp16 = squeeze(axes = squeeze_15_axes_0, x = op_507_cast_fp16_0)[name = tensor("squeeze_15_cast_fp16")]; - tensor squeeze_16_axes_0 = const()[name = tensor("squeeze_16_axes_0"), val = tensor([0])]; - tensor squeeze_16_cast_fp16 = squeeze(axes = squeeze_16_axes_0, x = op_507_cast_fp16_1)[name = tensor("squeeze_16_cast_fp16")]; - tensor squeeze_17_axes_0 = const()[name = tensor("squeeze_17_axes_0"), val = tensor([0])]; - tensor squeeze_17_cast_fp16 = squeeze(axes = squeeze_17_axes_0, x = op_507_cast_fp16_2)[name = tensor("squeeze_17_cast_fp16")]; - tensor mul_5_y_0_to_fp16 = const()[name = tensor("mul_5_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_5_cast_fp16 = mul(x = squeeze_15_cast_fp16, y = mul_5_y_0_to_fp16)[name = tensor("mul_5_cast_fp16")]; - tensor matmul_5_transpose_y_0 = const()[name = tensor("matmul_5_transpose_y_0"), val = tensor(true)]; - tensor matmul_5_transpose_x_0 = const()[name = tensor("matmul_5_transpose_x_0"), val = tensor(false)]; - tensor matmul_5_cast_fp16 = matmul(transpose_x = matmul_5_transpose_x_0, transpose_y = matmul_5_transpose_y_0, x = mul_5_cast_fp16, y = squeeze_16_cast_fp16)[name = tensor("matmul_5_cast_fp16")]; - tensor softmax_5_axis_0 = const()[name = tensor("softmax_5_axis_0"), val = tensor(-1)]; - tensor softmax_5_cast_fp16 = softmax(axis = softmax_5_axis_0, x = matmul_5_cast_fp16)[name = tensor("softmax_5_cast_fp16")]; - tensor x_55_transpose_x_0 = const()[name = tensor("x_55_transpose_x_0"), val = tensor(false)]; - tensor x_55_transpose_y_0 = const()[name = tensor("x_55_transpose_y_0"), val = tensor(false)]; - tensor x_55_cast_fp16 = matmul(transpose_x = x_55_transpose_x_0, transpose_y = x_55_transpose_y_0, x = softmax_5_cast_fp16, y = squeeze_17_cast_fp16)[name = tensor("x_55_cast_fp16")]; - tensor var_512_perm_0 = const()[name = tensor("op_512_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_513 = const()[name = tensor("op_513"), val = tensor([35, 577, 1024])]; - tensor transpose_93_cast_fp16 = transpose(perm = var_512_perm_0, x = x_55_cast_fp16)[name = tensor("transpose_93")]; - tensor input_95_cast_fp16 = reshape(shape = var_513, x = transpose_93_cast_fp16)[name = tensor("input_95_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(135117760)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(137214976)))]; - tensor linear_21_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_attn_proj_weight_to_fp16, x = input_95_cast_fp16)[name = tensor("linear_21_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(137217088)))]; - tensor op_520_cast_fp16 = mul(x = linear_21_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_ls1_gamma_to_fp16)[name = tensor("op_520_cast_fp16")]; - tensor input_99_cast_fp16 = add(x = input_93_cast_fp16, y = op_520_cast_fp16)[name = tensor("input_99_cast_fp16")]; - tensor input_101_axes_0 = const()[name = tensor("input_101_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(137219200)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(137221312)))]; - tensor input_101_cast_fp16 = layer_norm(axes = input_101_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_norm2_weight_to_fp16, x = input_99_cast_fp16)[name = tensor("input_101_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(137223424)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(145612096)))]; - tensor linear_22_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_mlp_fc1_weight_to_fp16, x = input_101_cast_fp16)[name = tensor("linear_22_cast_fp16")]; - tensor input_105_mode_0 = const()[name = tensor("input_105_mode_0"), val = tensor("EXACT")]; - tensor input_105_cast_fp16 = gelu(mode = input_105_mode_0, x = linear_22_cast_fp16)[name = tensor("input_105_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(145620352)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(154009024)))]; - tensor linear_23_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_mlp_fc2_weight_to_fp16, x = input_105_cast_fp16)[name = tensor("linear_23_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(154011136)))]; - tensor op_538_cast_fp16 = mul(x = linear_23_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_ls2_gamma_to_fp16)[name = tensor("op_538_cast_fp16")]; - tensor input_111_cast_fp16 = add(x = input_99_cast_fp16, y = op_538_cast_fp16)[name = tensor("input_111_cast_fp16")]; - tensor x_61_axes_0 = const()[name = tensor("x_61_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(154013248)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(154015360)))]; - tensor x_61_cast_fp16 = layer_norm(axes = x_61_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_norm1_weight_to_fp16, x = input_111_cast_fp16)[name = tensor("x_61_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(154017472)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(160308992)))]; - tensor linear_24_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_attn_qkv_weight_to_fp16, x = x_61_cast_fp16)[name = tensor("linear_24_cast_fp16")]; - tensor var_558 = const()[name = tensor("op_558"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_559_cast_fp16 = reshape(shape = var_558, x = linear_24_cast_fp16)[name = tensor("op_559_cast_fp16")]; - tensor var_560 = const()[name = tensor("op_560"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_562_split_sizes_0 = const()[name = tensor("op_562_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_562_axis_0 = const()[name = tensor("op_562_axis_0"), val = tensor(0)]; - tensor transpose_92_cast_fp16 = transpose(perm = var_560, x = op_559_cast_fp16)[name = tensor("transpose_92")]; - tensor op_562_cast_fp16_0, tensor op_562_cast_fp16_1, tensor op_562_cast_fp16_2 = split(axis = var_562_axis_0, split_sizes = var_562_split_sizes_0, x = transpose_92_cast_fp16)[name = tensor("op_562_cast_fp16")]; - tensor squeeze_18_axes_0 = const()[name = tensor("squeeze_18_axes_0"), val = tensor([0])]; - tensor squeeze_18_cast_fp16 = squeeze(axes = squeeze_18_axes_0, x = op_562_cast_fp16_0)[name = tensor("squeeze_18_cast_fp16")]; - tensor squeeze_19_axes_0 = const()[name = tensor("squeeze_19_axes_0"), val = tensor([0])]; - tensor squeeze_19_cast_fp16 = squeeze(axes = squeeze_19_axes_0, x = op_562_cast_fp16_1)[name = tensor("squeeze_19_cast_fp16")]; - tensor squeeze_20_axes_0 = const()[name = tensor("squeeze_20_axes_0"), val = tensor([0])]; - tensor squeeze_20_cast_fp16 = squeeze(axes = squeeze_20_axes_0, x = op_562_cast_fp16_2)[name = tensor("squeeze_20_cast_fp16")]; - tensor mul_6_y_0_to_fp16 = const()[name = tensor("mul_6_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_6_cast_fp16 = mul(x = squeeze_18_cast_fp16, y = mul_6_y_0_to_fp16)[name = tensor("mul_6_cast_fp16")]; - tensor matmul_6_transpose_y_0 = const()[name = tensor("matmul_6_transpose_y_0"), val = tensor(true)]; - tensor matmul_6_transpose_x_0 = const()[name = tensor("matmul_6_transpose_x_0"), val = tensor(false)]; - tensor matmul_6_cast_fp16 = matmul(transpose_x = matmul_6_transpose_x_0, transpose_y = matmul_6_transpose_y_0, x = mul_6_cast_fp16, y = squeeze_19_cast_fp16)[name = tensor("matmul_6_cast_fp16")]; - tensor softmax_6_axis_0 = const()[name = tensor("softmax_6_axis_0"), val = tensor(-1)]; - tensor softmax_6_cast_fp16 = softmax(axis = softmax_6_axis_0, x = matmul_6_cast_fp16)[name = tensor("softmax_6_cast_fp16")]; - tensor x_63_transpose_x_0 = const()[name = tensor("x_63_transpose_x_0"), val = tensor(false)]; - tensor x_63_transpose_y_0 = const()[name = tensor("x_63_transpose_y_0"), val = tensor(false)]; - tensor x_63_cast_fp16 = matmul(transpose_x = x_63_transpose_x_0, transpose_y = x_63_transpose_y_0, x = softmax_6_cast_fp16, y = squeeze_20_cast_fp16)[name = tensor("x_63_cast_fp16")]; - tensor var_567_perm_0 = const()[name = tensor("op_567_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_568 = const()[name = tensor("op_568"), val = tensor([35, 577, 1024])]; - tensor transpose_91_cast_fp16 = transpose(perm = var_567_perm_0, x = x_63_cast_fp16)[name = tensor("transpose_91")]; - tensor input_113_cast_fp16 = reshape(shape = var_568, x = transpose_91_cast_fp16)[name = tensor("input_113_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(160315200)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(162412416)))]; - tensor linear_25_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_attn_proj_weight_to_fp16, x = input_113_cast_fp16)[name = tensor("linear_25_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(162414528)))]; - tensor op_575_cast_fp16 = mul(x = linear_25_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_ls1_gamma_to_fp16)[name = tensor("op_575_cast_fp16")]; - tensor input_117_cast_fp16 = add(x = input_111_cast_fp16, y = op_575_cast_fp16)[name = tensor("input_117_cast_fp16")]; - tensor input_119_axes_0 = const()[name = tensor("input_119_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(162416640)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(162418752)))]; - tensor input_119_cast_fp16 = layer_norm(axes = input_119_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_norm2_weight_to_fp16, x = input_117_cast_fp16)[name = tensor("input_119_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(162420864)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(170809536)))]; - tensor linear_26_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_mlp_fc1_weight_to_fp16, x = input_119_cast_fp16)[name = tensor("linear_26_cast_fp16")]; - tensor input_123_mode_0 = const()[name = tensor("input_123_mode_0"), val = tensor("EXACT")]; - tensor input_123_cast_fp16 = gelu(mode = input_123_mode_0, x = linear_26_cast_fp16)[name = tensor("input_123_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(170817792)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(179206464)))]; - tensor linear_27_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_mlp_fc2_weight_to_fp16, x = input_123_cast_fp16)[name = tensor("linear_27_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(179208576)))]; - tensor op_593_cast_fp16 = mul(x = linear_27_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_ls2_gamma_to_fp16)[name = tensor("op_593_cast_fp16")]; - tensor input_129_cast_fp16 = add(x = input_117_cast_fp16, y = op_593_cast_fp16)[name = tensor("input_129_cast_fp16")]; - tensor x_69_axes_0 = const()[name = tensor("x_69_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(179210688)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(179212800)))]; - tensor x_69_cast_fp16 = layer_norm(axes = x_69_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_norm1_weight_to_fp16, x = input_129_cast_fp16)[name = tensor("x_69_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(179214912)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(185506432)))]; - tensor linear_28_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_attn_qkv_weight_to_fp16, x = x_69_cast_fp16)[name = tensor("linear_28_cast_fp16")]; - tensor var_613 = const()[name = tensor("op_613"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_614_cast_fp16 = reshape(shape = var_613, x = linear_28_cast_fp16)[name = tensor("op_614_cast_fp16")]; - tensor var_615 = const()[name = tensor("op_615"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_617_split_sizes_0 = const()[name = tensor("op_617_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_617_axis_0 = const()[name = tensor("op_617_axis_0"), val = tensor(0)]; - tensor transpose_90_cast_fp16 = transpose(perm = var_615, x = op_614_cast_fp16)[name = tensor("transpose_90")]; - tensor op_617_cast_fp16_0, tensor op_617_cast_fp16_1, tensor op_617_cast_fp16_2 = split(axis = var_617_axis_0, split_sizes = var_617_split_sizes_0, x = transpose_90_cast_fp16)[name = tensor("op_617_cast_fp16")]; - tensor squeeze_21_axes_0 = const()[name = tensor("squeeze_21_axes_0"), val = tensor([0])]; - tensor squeeze_21_cast_fp16 = squeeze(axes = squeeze_21_axes_0, x = op_617_cast_fp16_0)[name = tensor("squeeze_21_cast_fp16")]; - tensor squeeze_22_axes_0 = const()[name = tensor("squeeze_22_axes_0"), val = tensor([0])]; - tensor squeeze_22_cast_fp16 = squeeze(axes = squeeze_22_axes_0, x = op_617_cast_fp16_1)[name = tensor("squeeze_22_cast_fp16")]; - tensor squeeze_23_axes_0 = const()[name = tensor("squeeze_23_axes_0"), val = tensor([0])]; - tensor squeeze_23_cast_fp16 = squeeze(axes = squeeze_23_axes_0, x = op_617_cast_fp16_2)[name = tensor("squeeze_23_cast_fp16")]; - tensor mul_7_y_0_to_fp16 = const()[name = tensor("mul_7_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_7_cast_fp16 = mul(x = squeeze_21_cast_fp16, y = mul_7_y_0_to_fp16)[name = tensor("mul_7_cast_fp16")]; - tensor matmul_7_transpose_y_0 = const()[name = tensor("matmul_7_transpose_y_0"), val = tensor(true)]; - tensor matmul_7_transpose_x_0 = const()[name = tensor("matmul_7_transpose_x_0"), val = tensor(false)]; - tensor matmul_7_cast_fp16 = matmul(transpose_x = matmul_7_transpose_x_0, transpose_y = matmul_7_transpose_y_0, x = mul_7_cast_fp16, y = squeeze_22_cast_fp16)[name = tensor("matmul_7_cast_fp16")]; - tensor softmax_7_axis_0 = const()[name = tensor("softmax_7_axis_0"), val = tensor(-1)]; - tensor softmax_7_cast_fp16 = softmax(axis = softmax_7_axis_0, x = matmul_7_cast_fp16)[name = tensor("softmax_7_cast_fp16")]; - tensor x_71_transpose_x_0 = const()[name = tensor("x_71_transpose_x_0"), val = tensor(false)]; - tensor x_71_transpose_y_0 = const()[name = tensor("x_71_transpose_y_0"), val = tensor(false)]; - tensor x_71_cast_fp16 = matmul(transpose_x = x_71_transpose_x_0, transpose_y = x_71_transpose_y_0, x = softmax_7_cast_fp16, y = squeeze_23_cast_fp16)[name = tensor("x_71_cast_fp16")]; - tensor var_622_perm_0 = const()[name = tensor("op_622_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_623 = const()[name = tensor("op_623"), val = tensor([35, 577, 1024])]; - tensor transpose_89_cast_fp16 = transpose(perm = var_622_perm_0, x = x_71_cast_fp16)[name = tensor("transpose_89")]; - tensor input_131_cast_fp16 = reshape(shape = var_623, x = transpose_89_cast_fp16)[name = tensor("input_131_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(185512640)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(187609856)))]; - tensor linear_29_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_attn_proj_weight_to_fp16, x = input_131_cast_fp16)[name = tensor("linear_29_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(187611968)))]; - tensor op_630_cast_fp16 = mul(x = linear_29_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_ls1_gamma_to_fp16)[name = tensor("op_630_cast_fp16")]; - tensor input_135_cast_fp16 = add(x = input_129_cast_fp16, y = op_630_cast_fp16)[name = tensor("input_135_cast_fp16")]; - tensor input_137_axes_0 = const()[name = tensor("input_137_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(187614080)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(187616192)))]; - tensor input_137_cast_fp16 = layer_norm(axes = input_137_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_norm2_weight_to_fp16, x = input_135_cast_fp16)[name = tensor("input_137_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(187618304)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(196006976)))]; - tensor linear_30_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_mlp_fc1_weight_to_fp16, x = input_137_cast_fp16)[name = tensor("linear_30_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 = linear_30_cast_fp16)[name = tensor("input_141_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(196015232)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(204403904)))]; - tensor linear_31_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_mlp_fc2_weight_to_fp16, x = input_141_cast_fp16)[name = tensor("linear_31_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(204406016)))]; - tensor op_648_cast_fp16 = mul(x = linear_31_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_ls2_gamma_to_fp16)[name = tensor("op_648_cast_fp16")]; - tensor input_147_cast_fp16 = add(x = input_135_cast_fp16, y = op_648_cast_fp16)[name = tensor("input_147_cast_fp16")]; - tensor x_77_axes_0 = const()[name = tensor("x_77_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(204408128)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(204410240)))]; - tensor x_77_cast_fp16 = layer_norm(axes = x_77_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_norm1_weight_to_fp16, x = input_147_cast_fp16)[name = tensor("x_77_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(204412352)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(210703872)))]; - tensor linear_32_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_attn_qkv_weight_to_fp16, x = x_77_cast_fp16)[name = tensor("linear_32_cast_fp16")]; - tensor var_668 = const()[name = tensor("op_668"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_669_cast_fp16 = reshape(shape = var_668, x = linear_32_cast_fp16)[name = tensor("op_669_cast_fp16")]; - tensor var_670 = const()[name = tensor("op_670"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_672_split_sizes_0 = const()[name = tensor("op_672_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_672_axis_0 = const()[name = tensor("op_672_axis_0"), val = tensor(0)]; - tensor transpose_88_cast_fp16 = transpose(perm = var_670, x = op_669_cast_fp16)[name = tensor("transpose_88")]; - tensor op_672_cast_fp16_0, tensor op_672_cast_fp16_1, tensor op_672_cast_fp16_2 = split(axis = var_672_axis_0, split_sizes = var_672_split_sizes_0, x = transpose_88_cast_fp16)[name = tensor("op_672_cast_fp16")]; - tensor squeeze_24_axes_0 = const()[name = tensor("squeeze_24_axes_0"), val = tensor([0])]; - tensor squeeze_24_cast_fp16 = squeeze(axes = squeeze_24_axes_0, x = op_672_cast_fp16_0)[name = tensor("squeeze_24_cast_fp16")]; - tensor squeeze_25_axes_0 = const()[name = tensor("squeeze_25_axes_0"), val = tensor([0])]; - tensor squeeze_25_cast_fp16 = squeeze(axes = squeeze_25_axes_0, x = op_672_cast_fp16_1)[name = tensor("squeeze_25_cast_fp16")]; - tensor squeeze_26_axes_0 = const()[name = tensor("squeeze_26_axes_0"), val = tensor([0])]; - tensor squeeze_26_cast_fp16 = squeeze(axes = squeeze_26_axes_0, x = op_672_cast_fp16_2)[name = tensor("squeeze_26_cast_fp16")]; - tensor mul_8_y_0_to_fp16 = const()[name = tensor("mul_8_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_8_cast_fp16 = mul(x = squeeze_24_cast_fp16, y = mul_8_y_0_to_fp16)[name = tensor("mul_8_cast_fp16")]; - tensor matmul_8_transpose_y_0 = const()[name = tensor("matmul_8_transpose_y_0"), val = tensor(true)]; - tensor matmul_8_transpose_x_0 = const()[name = tensor("matmul_8_transpose_x_0"), val = tensor(false)]; - tensor matmul_8_cast_fp16 = matmul(transpose_x = matmul_8_transpose_x_0, transpose_y = matmul_8_transpose_y_0, x = mul_8_cast_fp16, y = squeeze_25_cast_fp16)[name = tensor("matmul_8_cast_fp16")]; - tensor softmax_8_axis_0 = const()[name = tensor("softmax_8_axis_0"), val = tensor(-1)]; - tensor softmax_8_cast_fp16 = softmax(axis = softmax_8_axis_0, x = matmul_8_cast_fp16)[name = tensor("softmax_8_cast_fp16")]; - tensor x_79_transpose_x_0 = const()[name = tensor("x_79_transpose_x_0"), val = tensor(false)]; - tensor x_79_transpose_y_0 = const()[name = tensor("x_79_transpose_y_0"), val = tensor(false)]; - tensor x_79_cast_fp16 = matmul(transpose_x = x_79_transpose_x_0, transpose_y = x_79_transpose_y_0, x = softmax_8_cast_fp16, y = squeeze_26_cast_fp16)[name = tensor("x_79_cast_fp16")]; - tensor var_677_perm_0 = const()[name = tensor("op_677_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_678 = const()[name = tensor("op_678"), val = tensor([35, 577, 1024])]; - tensor transpose_87_cast_fp16 = transpose(perm = var_677_perm_0, x = x_79_cast_fp16)[name = tensor("transpose_87")]; - tensor input_149_cast_fp16 = reshape(shape = var_678, x = transpose_87_cast_fp16)[name = tensor("input_149_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(210710080)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(212807296)))]; - tensor linear_33_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_attn_proj_weight_to_fp16, x = input_149_cast_fp16)[name = tensor("linear_33_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(212809408)))]; - tensor op_685_cast_fp16 = mul(x = linear_33_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_ls1_gamma_to_fp16)[name = tensor("op_685_cast_fp16")]; - tensor input_153_cast_fp16 = add(x = input_147_cast_fp16, y = op_685_cast_fp16)[name = tensor("input_153_cast_fp16")]; - tensor input_155_axes_0 = const()[name = tensor("input_155_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(212811520)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(212813632)))]; - tensor input_155_cast_fp16 = layer_norm(axes = input_155_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_norm2_weight_to_fp16, x = input_153_cast_fp16)[name = tensor("input_155_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(212815744)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(221204416)))]; - tensor linear_34_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_mlp_fc1_weight_to_fp16, x = input_155_cast_fp16)[name = tensor("linear_34_cast_fp16")]; - tensor input_159_mode_0 = const()[name = tensor("input_159_mode_0"), val = tensor("EXACT")]; - tensor input_159_cast_fp16 = gelu(mode = input_159_mode_0, x = linear_34_cast_fp16)[name = tensor("input_159_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(221212672)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(229601344)))]; - tensor linear_35_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_mlp_fc2_weight_to_fp16, x = input_159_cast_fp16)[name = tensor("linear_35_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(229603456)))]; - tensor op_703_cast_fp16 = mul(x = linear_35_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_ls2_gamma_to_fp16)[name = tensor("op_703_cast_fp16")]; - tensor input_165_cast_fp16 = add(x = input_153_cast_fp16, y = op_703_cast_fp16)[name = tensor("input_165_cast_fp16")]; - tensor x_85_axes_0 = const()[name = tensor("x_85_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(229605568)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(229607680)))]; - tensor x_85_cast_fp16 = layer_norm(axes = x_85_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_norm1_weight_to_fp16, x = input_165_cast_fp16)[name = tensor("x_85_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(229609792)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(235901312)))]; - tensor linear_36_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_attn_qkv_weight_to_fp16, x = x_85_cast_fp16)[name = tensor("linear_36_cast_fp16")]; - tensor var_723 = const()[name = tensor("op_723"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_724_cast_fp16 = reshape(shape = var_723, x = linear_36_cast_fp16)[name = tensor("op_724_cast_fp16")]; - tensor var_725 = const()[name = tensor("op_725"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_727_split_sizes_0 = const()[name = tensor("op_727_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_727_axis_0 = const()[name = tensor("op_727_axis_0"), val = tensor(0)]; - tensor transpose_86_cast_fp16 = transpose(perm = var_725, x = op_724_cast_fp16)[name = tensor("transpose_86")]; - tensor op_727_cast_fp16_0, tensor op_727_cast_fp16_1, tensor op_727_cast_fp16_2 = split(axis = var_727_axis_0, split_sizes = var_727_split_sizes_0, x = transpose_86_cast_fp16)[name = tensor("op_727_cast_fp16")]; - tensor squeeze_27_axes_0 = const()[name = tensor("squeeze_27_axes_0"), val = tensor([0])]; - tensor squeeze_27_cast_fp16 = squeeze(axes = squeeze_27_axes_0, x = op_727_cast_fp16_0)[name = tensor("squeeze_27_cast_fp16")]; - tensor squeeze_28_axes_0 = const()[name = tensor("squeeze_28_axes_0"), val = tensor([0])]; - tensor squeeze_28_cast_fp16 = squeeze(axes = squeeze_28_axes_0, x = op_727_cast_fp16_1)[name = tensor("squeeze_28_cast_fp16")]; - tensor squeeze_29_axes_0 = const()[name = tensor("squeeze_29_axes_0"), val = tensor([0])]; - tensor squeeze_29_cast_fp16 = squeeze(axes = squeeze_29_axes_0, x = op_727_cast_fp16_2)[name = tensor("squeeze_29_cast_fp16")]; - tensor mul_9_y_0_to_fp16 = const()[name = tensor("mul_9_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_9_cast_fp16 = mul(x = squeeze_27_cast_fp16, y = mul_9_y_0_to_fp16)[name = tensor("mul_9_cast_fp16")]; - tensor matmul_9_transpose_y_0 = const()[name = tensor("matmul_9_transpose_y_0"), val = tensor(true)]; - tensor matmul_9_transpose_x_0 = const()[name = tensor("matmul_9_transpose_x_0"), val = tensor(false)]; - tensor matmul_9_cast_fp16 = matmul(transpose_x = matmul_9_transpose_x_0, transpose_y = matmul_9_transpose_y_0, x = mul_9_cast_fp16, y = squeeze_28_cast_fp16)[name = tensor("matmul_9_cast_fp16")]; - tensor softmax_9_axis_0 = const()[name = tensor("softmax_9_axis_0"), val = tensor(-1)]; - tensor softmax_9_cast_fp16 = softmax(axis = softmax_9_axis_0, x = matmul_9_cast_fp16)[name = tensor("softmax_9_cast_fp16")]; - tensor x_87_transpose_x_0 = const()[name = tensor("x_87_transpose_x_0"), val = tensor(false)]; - tensor x_87_transpose_y_0 = const()[name = tensor("x_87_transpose_y_0"), val = tensor(false)]; - tensor x_87_cast_fp16 = matmul(transpose_x = x_87_transpose_x_0, transpose_y = x_87_transpose_y_0, x = softmax_9_cast_fp16, y = squeeze_29_cast_fp16)[name = tensor("x_87_cast_fp16")]; - tensor var_732_perm_0 = const()[name = tensor("op_732_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_733 = const()[name = tensor("op_733"), val = tensor([35, 577, 1024])]; - tensor transpose_85_cast_fp16 = transpose(perm = var_732_perm_0, x = x_87_cast_fp16)[name = tensor("transpose_85")]; - tensor input_167_cast_fp16 = reshape(shape = var_733, x = transpose_85_cast_fp16)[name = tensor("input_167_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(235907520)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(238004736)))]; - tensor linear_37_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_attn_proj_weight_to_fp16, x = input_167_cast_fp16)[name = tensor("linear_37_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(238006848)))]; - tensor op_740_cast_fp16 = mul(x = linear_37_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_ls1_gamma_to_fp16)[name = tensor("op_740_cast_fp16")]; - tensor input_171_cast_fp16 = add(x = input_165_cast_fp16, y = op_740_cast_fp16)[name = tensor("input_171_cast_fp16")]; - tensor input_173_axes_0 = const()[name = tensor("input_173_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(238008960)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(238011072)))]; - tensor input_173_cast_fp16 = layer_norm(axes = input_173_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_norm2_weight_to_fp16, x = input_171_cast_fp16)[name = tensor("input_173_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(238013184)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(246401856)))]; - tensor linear_38_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_mlp_fc1_weight_to_fp16, x = input_173_cast_fp16)[name = tensor("linear_38_cast_fp16")]; - tensor input_177_mode_0 = const()[name = tensor("input_177_mode_0"), val = tensor("EXACT")]; - tensor input_177_cast_fp16 = gelu(mode = input_177_mode_0, x = linear_38_cast_fp16)[name = tensor("input_177_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(246410112)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(254798784)))]; - tensor linear_39_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_mlp_fc2_weight_to_fp16, x = input_177_cast_fp16)[name = tensor("linear_39_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(254800896)))]; - tensor op_758_cast_fp16 = mul(x = linear_39_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_ls2_gamma_to_fp16)[name = tensor("op_758_cast_fp16")]; - tensor input_183_cast_fp16 = add(x = input_171_cast_fp16, y = op_758_cast_fp16)[name = tensor("input_183_cast_fp16")]; - tensor x_93_axes_0 = const()[name = tensor("x_93_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(254803008)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(254805120)))]; - tensor x_93_cast_fp16 = layer_norm(axes = x_93_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_norm1_weight_to_fp16, x = input_183_cast_fp16)[name = tensor("x_93_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(254807232)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(261098752)))]; - tensor linear_40_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_attn_qkv_weight_to_fp16, x = x_93_cast_fp16)[name = tensor("linear_40_cast_fp16")]; - tensor var_778 = const()[name = tensor("op_778"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_779_cast_fp16 = reshape(shape = var_778, x = linear_40_cast_fp16)[name = tensor("op_779_cast_fp16")]; - tensor var_780 = const()[name = tensor("op_780"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_782_split_sizes_0 = const()[name = tensor("op_782_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_782_axis_0 = const()[name = tensor("op_782_axis_0"), val = tensor(0)]; - tensor transpose_84_cast_fp16 = transpose(perm = var_780, x = op_779_cast_fp16)[name = tensor("transpose_84")]; - tensor op_782_cast_fp16_0, tensor op_782_cast_fp16_1, tensor op_782_cast_fp16_2 = split(axis = var_782_axis_0, split_sizes = var_782_split_sizes_0, x = transpose_84_cast_fp16)[name = tensor("op_782_cast_fp16")]; - tensor squeeze_30_axes_0 = const()[name = tensor("squeeze_30_axes_0"), val = tensor([0])]; - tensor squeeze_30_cast_fp16 = squeeze(axes = squeeze_30_axes_0, x = op_782_cast_fp16_0)[name = tensor("squeeze_30_cast_fp16")]; - tensor squeeze_31_axes_0 = const()[name = tensor("squeeze_31_axes_0"), val = tensor([0])]; - tensor squeeze_31_cast_fp16 = squeeze(axes = squeeze_31_axes_0, x = op_782_cast_fp16_1)[name = tensor("squeeze_31_cast_fp16")]; - tensor squeeze_32_axes_0 = const()[name = tensor("squeeze_32_axes_0"), val = tensor([0])]; - tensor squeeze_32_cast_fp16 = squeeze(axes = squeeze_32_axes_0, x = op_782_cast_fp16_2)[name = tensor("squeeze_32_cast_fp16")]; - tensor mul_10_y_0_to_fp16 = const()[name = tensor("mul_10_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_10_cast_fp16 = mul(x = squeeze_30_cast_fp16, y = mul_10_y_0_to_fp16)[name = tensor("mul_10_cast_fp16")]; - tensor matmul_10_transpose_y_0 = const()[name = tensor("matmul_10_transpose_y_0"), val = tensor(true)]; - tensor matmul_10_transpose_x_0 = const()[name = tensor("matmul_10_transpose_x_0"), val = tensor(false)]; - tensor matmul_10_cast_fp16 = matmul(transpose_x = matmul_10_transpose_x_0, transpose_y = matmul_10_transpose_y_0, x = mul_10_cast_fp16, y = squeeze_31_cast_fp16)[name = tensor("matmul_10_cast_fp16")]; - tensor softmax_10_axis_0 = const()[name = tensor("softmax_10_axis_0"), val = tensor(-1)]; - tensor softmax_10_cast_fp16 = softmax(axis = softmax_10_axis_0, x = matmul_10_cast_fp16)[name = tensor("softmax_10_cast_fp16")]; - tensor x_95_transpose_x_0 = const()[name = tensor("x_95_transpose_x_0"), val = tensor(false)]; - tensor x_95_transpose_y_0 = const()[name = tensor("x_95_transpose_y_0"), val = tensor(false)]; - tensor x_95_cast_fp16 = matmul(transpose_x = x_95_transpose_x_0, transpose_y = x_95_transpose_y_0, x = softmax_10_cast_fp16, y = squeeze_32_cast_fp16)[name = tensor("x_95_cast_fp16")]; - tensor var_787_perm_0 = const()[name = tensor("op_787_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_788 = const()[name = tensor("op_788"), val = tensor([35, 577, 1024])]; - tensor transpose_83_cast_fp16 = transpose(perm = var_787_perm_0, x = x_95_cast_fp16)[name = tensor("transpose_83")]; - tensor input_185_cast_fp16 = reshape(shape = var_788, x = transpose_83_cast_fp16)[name = tensor("input_185_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(261104960)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(263202176)))]; - tensor linear_41_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_attn_proj_weight_to_fp16, x = input_185_cast_fp16)[name = tensor("linear_41_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(263204288)))]; - tensor op_795_cast_fp16 = mul(x = linear_41_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_ls1_gamma_to_fp16)[name = tensor("op_795_cast_fp16")]; - tensor input_189_cast_fp16 = add(x = input_183_cast_fp16, y = op_795_cast_fp16)[name = tensor("input_189_cast_fp16")]; - tensor input_191_axes_0 = const()[name = tensor("input_191_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(263206400)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(263208512)))]; - tensor input_191_cast_fp16 = layer_norm(axes = input_191_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_norm2_weight_to_fp16, x = input_189_cast_fp16)[name = tensor("input_191_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(263210624)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(271599296)))]; - tensor linear_42_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_mlp_fc1_weight_to_fp16, x = input_191_cast_fp16)[name = tensor("linear_42_cast_fp16")]; - tensor input_195_mode_0 = const()[name = tensor("input_195_mode_0"), val = tensor("EXACT")]; - tensor input_195_cast_fp16 = gelu(mode = input_195_mode_0, x = linear_42_cast_fp16)[name = tensor("input_195_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(271607552)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(279996224)))]; - tensor linear_43_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_mlp_fc2_weight_to_fp16, x = input_195_cast_fp16)[name = tensor("linear_43_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(279998336)))]; - tensor op_813_cast_fp16 = mul(x = linear_43_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_ls2_gamma_to_fp16)[name = tensor("op_813_cast_fp16")]; - tensor input_201_cast_fp16 = add(x = input_189_cast_fp16, y = op_813_cast_fp16)[name = tensor("input_201_cast_fp16")]; - tensor x_101_axes_0 = const()[name = tensor("x_101_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(280000448)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(280002560)))]; - tensor x_101_cast_fp16 = layer_norm(axes = x_101_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_norm1_weight_to_fp16, x = input_201_cast_fp16)[name = tensor("x_101_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(280004672)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(286296192)))]; - tensor linear_44_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_attn_qkv_weight_to_fp16, x = x_101_cast_fp16)[name = tensor("linear_44_cast_fp16")]; - tensor var_833 = const()[name = tensor("op_833"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_834_cast_fp16 = reshape(shape = var_833, x = linear_44_cast_fp16)[name = tensor("op_834_cast_fp16")]; - tensor var_835 = const()[name = tensor("op_835"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_837_split_sizes_0 = const()[name = tensor("op_837_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_837_axis_0 = const()[name = tensor("op_837_axis_0"), val = tensor(0)]; - tensor transpose_82_cast_fp16 = transpose(perm = var_835, x = op_834_cast_fp16)[name = tensor("transpose_82")]; - tensor op_837_cast_fp16_0, tensor op_837_cast_fp16_1, tensor op_837_cast_fp16_2 = split(axis = var_837_axis_0, split_sizes = var_837_split_sizes_0, x = transpose_82_cast_fp16)[name = tensor("op_837_cast_fp16")]; - tensor squeeze_33_axes_0 = const()[name = tensor("squeeze_33_axes_0"), val = tensor([0])]; - tensor squeeze_33_cast_fp16 = squeeze(axes = squeeze_33_axes_0, x = op_837_cast_fp16_0)[name = tensor("squeeze_33_cast_fp16")]; - tensor squeeze_34_axes_0 = const()[name = tensor("squeeze_34_axes_0"), val = tensor([0])]; - tensor squeeze_34_cast_fp16 = squeeze(axes = squeeze_34_axes_0, x = op_837_cast_fp16_1)[name = tensor("squeeze_34_cast_fp16")]; - tensor squeeze_35_axes_0 = const()[name = tensor("squeeze_35_axes_0"), val = tensor([0])]; - tensor squeeze_35_cast_fp16 = squeeze(axes = squeeze_35_axes_0, x = op_837_cast_fp16_2)[name = tensor("squeeze_35_cast_fp16")]; - tensor mul_11_y_0_to_fp16 = const()[name = tensor("mul_11_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_11_cast_fp16 = mul(x = squeeze_33_cast_fp16, y = mul_11_y_0_to_fp16)[name = tensor("mul_11_cast_fp16")]; - tensor matmul_11_transpose_y_0 = const()[name = tensor("matmul_11_transpose_y_0"), val = tensor(true)]; - tensor matmul_11_transpose_x_0 = const()[name = tensor("matmul_11_transpose_x_0"), val = tensor(false)]; - tensor matmul_11_cast_fp16 = matmul(transpose_x = matmul_11_transpose_x_0, transpose_y = matmul_11_transpose_y_0, x = mul_11_cast_fp16, y = squeeze_34_cast_fp16)[name = tensor("matmul_11_cast_fp16")]; - tensor softmax_11_axis_0 = const()[name = tensor("softmax_11_axis_0"), val = tensor(-1)]; - tensor softmax_11_cast_fp16 = softmax(axis = softmax_11_axis_0, x = matmul_11_cast_fp16)[name = tensor("softmax_11_cast_fp16")]; - tensor x_103_transpose_x_0 = const()[name = tensor("x_103_transpose_x_0"), val = tensor(false)]; - tensor x_103_transpose_y_0 = const()[name = tensor("x_103_transpose_y_0"), val = tensor(false)]; - tensor x_103_cast_fp16 = matmul(transpose_x = x_103_transpose_x_0, transpose_y = x_103_transpose_y_0, x = softmax_11_cast_fp16, y = squeeze_35_cast_fp16)[name = tensor("x_103_cast_fp16")]; - tensor var_842_perm_0 = const()[name = tensor("op_842_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_843 = const()[name = tensor("op_843"), val = tensor([35, 577, 1024])]; - tensor transpose_81_cast_fp16 = transpose(perm = var_842_perm_0, x = x_103_cast_fp16)[name = tensor("transpose_81")]; - tensor input_203_cast_fp16 = reshape(shape = var_843, x = transpose_81_cast_fp16)[name = tensor("input_203_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(286302400)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(288399616)))]; - tensor linear_45_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_attn_proj_weight_to_fp16, x = input_203_cast_fp16)[name = tensor("linear_45_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(288401728)))]; - tensor op_850_cast_fp16 = mul(x = linear_45_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_ls1_gamma_to_fp16)[name = tensor("op_850_cast_fp16")]; - tensor input_207_cast_fp16 = add(x = input_201_cast_fp16, y = op_850_cast_fp16)[name = tensor("input_207_cast_fp16")]; - tensor input_209_axes_0 = const()[name = tensor("input_209_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(288403840)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(288405952)))]; - tensor input_209_cast_fp16 = layer_norm(axes = input_209_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_norm2_weight_to_fp16, x = input_207_cast_fp16)[name = tensor("input_209_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(288408064)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(296796736)))]; - tensor linear_46_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_mlp_fc1_weight_to_fp16, x = input_209_cast_fp16)[name = tensor("linear_46_cast_fp16")]; - tensor input_213_mode_0 = const()[name = tensor("input_213_mode_0"), val = tensor("EXACT")]; - tensor input_213_cast_fp16 = gelu(mode = input_213_mode_0, x = linear_46_cast_fp16)[name = tensor("input_213_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(296804992)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(305193664)))]; - tensor linear_47_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_mlp_fc2_weight_to_fp16, x = input_213_cast_fp16)[name = tensor("linear_47_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(305195776)))]; - tensor op_868_cast_fp16 = mul(x = linear_47_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_ls2_gamma_to_fp16)[name = tensor("op_868_cast_fp16")]; - tensor input_219_cast_fp16 = add(x = input_207_cast_fp16, y = op_868_cast_fp16)[name = tensor("input_219_cast_fp16")]; - tensor x_109_axes_0 = const()[name = tensor("x_109_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(305197888)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(305200000)))]; - tensor x_109_cast_fp16 = layer_norm(axes = x_109_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_norm1_weight_to_fp16, x = input_219_cast_fp16)[name = tensor("x_109_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(305202112)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(311493632)))]; - tensor linear_48_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_attn_qkv_weight_to_fp16, x = x_109_cast_fp16)[name = tensor("linear_48_cast_fp16")]; - tensor var_888 = const()[name = tensor("op_888"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_889_cast_fp16 = reshape(shape = var_888, x = linear_48_cast_fp16)[name = tensor("op_889_cast_fp16")]; - tensor var_890 = const()[name = tensor("op_890"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_892_split_sizes_0 = const()[name = tensor("op_892_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_892_axis_0 = const()[name = tensor("op_892_axis_0"), val = tensor(0)]; - tensor transpose_80_cast_fp16 = transpose(perm = var_890, x = op_889_cast_fp16)[name = tensor("transpose_80")]; - tensor op_892_cast_fp16_0, tensor op_892_cast_fp16_1, tensor op_892_cast_fp16_2 = split(axis = var_892_axis_0, split_sizes = var_892_split_sizes_0, x = transpose_80_cast_fp16)[name = tensor("op_892_cast_fp16")]; - tensor squeeze_36_axes_0 = const()[name = tensor("squeeze_36_axes_0"), val = tensor([0])]; - tensor squeeze_36_cast_fp16 = squeeze(axes = squeeze_36_axes_0, x = op_892_cast_fp16_0)[name = tensor("squeeze_36_cast_fp16")]; - tensor squeeze_37_axes_0 = const()[name = tensor("squeeze_37_axes_0"), val = tensor([0])]; - tensor squeeze_37_cast_fp16 = squeeze(axes = squeeze_37_axes_0, x = op_892_cast_fp16_1)[name = tensor("squeeze_37_cast_fp16")]; - tensor squeeze_38_axes_0 = const()[name = tensor("squeeze_38_axes_0"), val = tensor([0])]; - tensor squeeze_38_cast_fp16 = squeeze(axes = squeeze_38_axes_0, x = op_892_cast_fp16_2)[name = tensor("squeeze_38_cast_fp16")]; - tensor mul_12_y_0_to_fp16 = const()[name = tensor("mul_12_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_12_cast_fp16 = mul(x = squeeze_36_cast_fp16, y = mul_12_y_0_to_fp16)[name = tensor("mul_12_cast_fp16")]; - tensor matmul_12_transpose_y_0 = const()[name = tensor("matmul_12_transpose_y_0"), val = tensor(true)]; - tensor matmul_12_transpose_x_0 = const()[name = tensor("matmul_12_transpose_x_0"), val = tensor(false)]; - tensor matmul_12_cast_fp16 = matmul(transpose_x = matmul_12_transpose_x_0, transpose_y = matmul_12_transpose_y_0, x = mul_12_cast_fp16, y = squeeze_37_cast_fp16)[name = tensor("matmul_12_cast_fp16")]; - tensor softmax_12_axis_0 = const()[name = tensor("softmax_12_axis_0"), val = tensor(-1)]; - tensor softmax_12_cast_fp16 = softmax(axis = softmax_12_axis_0, x = matmul_12_cast_fp16)[name = tensor("softmax_12_cast_fp16")]; - tensor x_111_transpose_x_0 = const()[name = tensor("x_111_transpose_x_0"), val = tensor(false)]; - tensor x_111_transpose_y_0 = const()[name = tensor("x_111_transpose_y_0"), val = tensor(false)]; - tensor x_111_cast_fp16 = matmul(transpose_x = x_111_transpose_x_0, transpose_y = x_111_transpose_y_0, x = softmax_12_cast_fp16, y = squeeze_38_cast_fp16)[name = tensor("x_111_cast_fp16")]; - tensor var_897_perm_0 = const()[name = tensor("op_897_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_898 = const()[name = tensor("op_898"), val = tensor([35, 577, 1024])]; - tensor transpose_79_cast_fp16 = transpose(perm = var_897_perm_0, x = x_111_cast_fp16)[name = tensor("transpose_79")]; - tensor input_221_cast_fp16 = reshape(shape = var_898, x = transpose_79_cast_fp16)[name = tensor("input_221_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(311499840)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(313597056)))]; - tensor linear_49_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_attn_proj_weight_to_fp16, x = input_221_cast_fp16)[name = tensor("linear_49_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(313599168)))]; - tensor op_905_cast_fp16 = mul(x = linear_49_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_ls1_gamma_to_fp16)[name = tensor("op_905_cast_fp16")]; - tensor input_225_cast_fp16 = add(x = input_219_cast_fp16, y = op_905_cast_fp16)[name = tensor("input_225_cast_fp16")]; - tensor input_227_axes_0 = const()[name = tensor("input_227_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(313601280)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(313603392)))]; - tensor input_227_cast_fp16 = layer_norm(axes = input_227_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_norm2_weight_to_fp16, x = input_225_cast_fp16)[name = tensor("input_227_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(313605504)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(321994176)))]; - tensor linear_50_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_mlp_fc1_weight_to_fp16, x = input_227_cast_fp16)[name = tensor("linear_50_cast_fp16")]; - tensor input_231_mode_0 = const()[name = tensor("input_231_mode_0"), val = tensor("EXACT")]; - tensor input_231_cast_fp16 = gelu(mode = input_231_mode_0, x = linear_50_cast_fp16)[name = tensor("input_231_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(322002432)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(330391104)))]; - tensor linear_51_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_mlp_fc2_weight_to_fp16, x = input_231_cast_fp16)[name = tensor("linear_51_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(330393216)))]; - tensor op_923_cast_fp16 = mul(x = linear_51_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_ls2_gamma_to_fp16)[name = tensor("op_923_cast_fp16")]; - tensor input_237_cast_fp16 = add(x = input_225_cast_fp16, y = op_923_cast_fp16)[name = tensor("input_237_cast_fp16")]; - tensor x_117_axes_0 = const()[name = tensor("x_117_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(330395328)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(330397440)))]; - tensor x_117_cast_fp16 = layer_norm(axes = x_117_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_norm1_weight_to_fp16, x = input_237_cast_fp16)[name = tensor("x_117_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(330399552)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(336691072)))]; - tensor linear_52_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_attn_qkv_weight_to_fp16, x = x_117_cast_fp16)[name = tensor("linear_52_cast_fp16")]; - tensor var_943 = const()[name = tensor("op_943"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_944_cast_fp16 = reshape(shape = var_943, x = linear_52_cast_fp16)[name = tensor("op_944_cast_fp16")]; - tensor var_945 = const()[name = tensor("op_945"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_947_split_sizes_0 = const()[name = tensor("op_947_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_947_axis_0 = const()[name = tensor("op_947_axis_0"), val = tensor(0)]; - tensor transpose_78_cast_fp16 = transpose(perm = var_945, x = op_944_cast_fp16)[name = tensor("transpose_78")]; - tensor op_947_cast_fp16_0, tensor op_947_cast_fp16_1, tensor op_947_cast_fp16_2 = split(axis = var_947_axis_0, split_sizes = var_947_split_sizes_0, x = transpose_78_cast_fp16)[name = tensor("op_947_cast_fp16")]; - tensor squeeze_39_axes_0 = const()[name = tensor("squeeze_39_axes_0"), val = tensor([0])]; - tensor squeeze_39_cast_fp16 = squeeze(axes = squeeze_39_axes_0, x = op_947_cast_fp16_0)[name = tensor("squeeze_39_cast_fp16")]; - tensor squeeze_40_axes_0 = const()[name = tensor("squeeze_40_axes_0"), val = tensor([0])]; - tensor squeeze_40_cast_fp16 = squeeze(axes = squeeze_40_axes_0, x = op_947_cast_fp16_1)[name = tensor("squeeze_40_cast_fp16")]; - tensor squeeze_41_axes_0 = const()[name = tensor("squeeze_41_axes_0"), val = tensor([0])]; - tensor squeeze_41_cast_fp16 = squeeze(axes = squeeze_41_axes_0, x = op_947_cast_fp16_2)[name = tensor("squeeze_41_cast_fp16")]; - tensor mul_13_y_0_to_fp16 = const()[name = tensor("mul_13_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_13_cast_fp16 = mul(x = squeeze_39_cast_fp16, y = mul_13_y_0_to_fp16)[name = tensor("mul_13_cast_fp16")]; - tensor matmul_13_transpose_y_0 = const()[name = tensor("matmul_13_transpose_y_0"), val = tensor(true)]; - tensor matmul_13_transpose_x_0 = const()[name = tensor("matmul_13_transpose_x_0"), val = tensor(false)]; - tensor matmul_13_cast_fp16 = matmul(transpose_x = matmul_13_transpose_x_0, transpose_y = matmul_13_transpose_y_0, x = mul_13_cast_fp16, y = squeeze_40_cast_fp16)[name = tensor("matmul_13_cast_fp16")]; - tensor softmax_13_axis_0 = const()[name = tensor("softmax_13_axis_0"), val = tensor(-1)]; - tensor softmax_13_cast_fp16 = softmax(axis = softmax_13_axis_0, x = matmul_13_cast_fp16)[name = tensor("softmax_13_cast_fp16")]; - tensor x_119_transpose_x_0 = const()[name = tensor("x_119_transpose_x_0"), val = tensor(false)]; - tensor x_119_transpose_y_0 = const()[name = tensor("x_119_transpose_y_0"), val = tensor(false)]; - tensor x_119_cast_fp16 = matmul(transpose_x = x_119_transpose_x_0, transpose_y = x_119_transpose_y_0, x = softmax_13_cast_fp16, y = squeeze_41_cast_fp16)[name = tensor("x_119_cast_fp16")]; - tensor var_952_perm_0 = const()[name = tensor("op_952_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_953 = const()[name = tensor("op_953"), val = tensor([35, 577, 1024])]; - tensor transpose_77_cast_fp16 = transpose(perm = var_952_perm_0, x = x_119_cast_fp16)[name = tensor("transpose_77")]; - tensor input_239_cast_fp16 = reshape(shape = var_953, x = transpose_77_cast_fp16)[name = tensor("input_239_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(336697280)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(338794496)))]; - tensor linear_53_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_attn_proj_weight_to_fp16, x = input_239_cast_fp16)[name = tensor("linear_53_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(338796608)))]; - tensor op_960_cast_fp16 = mul(x = linear_53_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_ls1_gamma_to_fp16)[name = tensor("op_960_cast_fp16")]; - tensor input_243_cast_fp16 = add(x = input_237_cast_fp16, y = op_960_cast_fp16)[name = tensor("input_243_cast_fp16")]; - tensor input_245_axes_0 = const()[name = tensor("input_245_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(338798720)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(338800832)))]; - tensor input_245_cast_fp16 = layer_norm(axes = input_245_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_norm2_weight_to_fp16, x = input_243_cast_fp16)[name = tensor("input_245_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(338802944)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(347191616)))]; - tensor linear_54_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_mlp_fc1_weight_to_fp16, x = input_245_cast_fp16)[name = tensor("linear_54_cast_fp16")]; - tensor input_249_mode_0 = const()[name = tensor("input_249_mode_0"), val = tensor("EXACT")]; - tensor input_249_cast_fp16 = gelu(mode = input_249_mode_0, x = linear_54_cast_fp16)[name = tensor("input_249_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(347199872)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(355588544)))]; - tensor linear_55_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_mlp_fc2_weight_to_fp16, x = input_249_cast_fp16)[name = tensor("linear_55_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(355590656)))]; - tensor op_978_cast_fp16 = mul(x = linear_55_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_ls2_gamma_to_fp16)[name = tensor("op_978_cast_fp16")]; - tensor input_255_cast_fp16 = add(x = input_243_cast_fp16, y = op_978_cast_fp16)[name = tensor("input_255_cast_fp16")]; - tensor x_125_axes_0 = const()[name = tensor("x_125_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(355592768)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(355594880)))]; - tensor x_125_cast_fp16 = layer_norm(axes = x_125_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_norm1_weight_to_fp16, x = input_255_cast_fp16)[name = tensor("x_125_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(355596992)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(361888512)))]; - tensor linear_56_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_attn_qkv_weight_to_fp16, x = x_125_cast_fp16)[name = tensor("linear_56_cast_fp16")]; - tensor var_998 = const()[name = tensor("op_998"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_999_cast_fp16 = reshape(shape = var_998, x = linear_56_cast_fp16)[name = tensor("op_999_cast_fp16")]; - tensor var_1000 = const()[name = tensor("op_1000"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_1002_split_sizes_0 = const()[name = tensor("op_1002_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_1002_axis_0 = const()[name = tensor("op_1002_axis_0"), val = tensor(0)]; - tensor transpose_76_cast_fp16 = transpose(perm = var_1000, x = op_999_cast_fp16)[name = tensor("transpose_76")]; - tensor op_1002_cast_fp16_0, tensor op_1002_cast_fp16_1, tensor op_1002_cast_fp16_2 = split(axis = var_1002_axis_0, split_sizes = var_1002_split_sizes_0, x = transpose_76_cast_fp16)[name = tensor("op_1002_cast_fp16")]; - tensor squeeze_42_axes_0 = const()[name = tensor("squeeze_42_axes_0"), val = tensor([0])]; - tensor squeeze_42_cast_fp16 = squeeze(axes = squeeze_42_axes_0, x = op_1002_cast_fp16_0)[name = tensor("squeeze_42_cast_fp16")]; - tensor squeeze_43_axes_0 = const()[name = tensor("squeeze_43_axes_0"), val = tensor([0])]; - tensor squeeze_43_cast_fp16 = squeeze(axes = squeeze_43_axes_0, x = op_1002_cast_fp16_1)[name = tensor("squeeze_43_cast_fp16")]; - tensor squeeze_44_axes_0 = const()[name = tensor("squeeze_44_axes_0"), val = tensor([0])]; - tensor squeeze_44_cast_fp16 = squeeze(axes = squeeze_44_axes_0, x = op_1002_cast_fp16_2)[name = tensor("squeeze_44_cast_fp16")]; - tensor mul_14_y_0_to_fp16 = const()[name = tensor("mul_14_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_14_cast_fp16 = mul(x = squeeze_42_cast_fp16, y = mul_14_y_0_to_fp16)[name = tensor("mul_14_cast_fp16")]; - tensor matmul_14_transpose_y_0 = const()[name = tensor("matmul_14_transpose_y_0"), val = tensor(true)]; - tensor matmul_14_transpose_x_0 = const()[name = tensor("matmul_14_transpose_x_0"), val = tensor(false)]; - tensor matmul_14_cast_fp16 = matmul(transpose_x = matmul_14_transpose_x_0, transpose_y = matmul_14_transpose_y_0, x = mul_14_cast_fp16, y = squeeze_43_cast_fp16)[name = tensor("matmul_14_cast_fp16")]; - tensor softmax_14_axis_0 = const()[name = tensor("softmax_14_axis_0"), val = tensor(-1)]; - tensor softmax_14_cast_fp16 = softmax(axis = softmax_14_axis_0, x = matmul_14_cast_fp16)[name = tensor("softmax_14_cast_fp16")]; - tensor x_127_transpose_x_0 = const()[name = tensor("x_127_transpose_x_0"), val = tensor(false)]; - tensor x_127_transpose_y_0 = const()[name = tensor("x_127_transpose_y_0"), val = tensor(false)]; - tensor x_127_cast_fp16 = matmul(transpose_x = x_127_transpose_x_0, transpose_y = x_127_transpose_y_0, x = softmax_14_cast_fp16, y = squeeze_44_cast_fp16)[name = tensor("x_127_cast_fp16")]; - tensor var_1007_perm_0 = const()[name = tensor("op_1007_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_1008 = const()[name = tensor("op_1008"), val = tensor([35, 577, 1024])]; - tensor transpose_75_cast_fp16 = transpose(perm = var_1007_perm_0, x = x_127_cast_fp16)[name = tensor("transpose_75")]; - tensor input_257_cast_fp16 = reshape(shape = var_1008, x = transpose_75_cast_fp16)[name = tensor("input_257_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(361894720)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(363991936)))]; - tensor linear_57_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_attn_proj_weight_to_fp16, x = input_257_cast_fp16)[name = tensor("linear_57_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(363994048)))]; - tensor op_1015_cast_fp16 = mul(x = linear_57_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_ls1_gamma_to_fp16)[name = tensor("op_1015_cast_fp16")]; - tensor input_261_cast_fp16 = add(x = input_255_cast_fp16, y = op_1015_cast_fp16)[name = tensor("input_261_cast_fp16")]; - tensor input_263_axes_0 = const()[name = tensor("input_263_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(363996160)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(363998272)))]; - tensor input_263_cast_fp16 = layer_norm(axes = input_263_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_norm2_weight_to_fp16, x = input_261_cast_fp16)[name = tensor("input_263_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(364000384)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(372389056)))]; - tensor linear_58_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_mlp_fc1_weight_to_fp16, x = input_263_cast_fp16)[name = tensor("linear_58_cast_fp16")]; - tensor input_267_mode_0 = const()[name = tensor("input_267_mode_0"), val = tensor("EXACT")]; - tensor input_267_cast_fp16 = gelu(mode = input_267_mode_0, x = linear_58_cast_fp16)[name = tensor("input_267_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(372397312)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(380785984)))]; - tensor linear_59_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_mlp_fc2_weight_to_fp16, x = input_267_cast_fp16)[name = tensor("linear_59_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(380788096)))]; - tensor op_1033_cast_fp16 = mul(x = linear_59_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_ls2_gamma_to_fp16)[name = tensor("op_1033_cast_fp16")]; - tensor input_273_cast_fp16 = add(x = input_261_cast_fp16, y = op_1033_cast_fp16)[name = tensor("input_273_cast_fp16")]; - tensor x_133_axes_0 = const()[name = tensor("x_133_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(380790208)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(380792320)))]; - tensor x_133_cast_fp16 = layer_norm(axes = x_133_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_norm1_weight_to_fp16, x = input_273_cast_fp16)[name = tensor("x_133_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(380794432)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(387085952)))]; - tensor linear_60_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_attn_qkv_weight_to_fp16, x = x_133_cast_fp16)[name = tensor("linear_60_cast_fp16")]; - tensor var_1053 = const()[name = tensor("op_1053"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_1054_cast_fp16 = reshape(shape = var_1053, x = linear_60_cast_fp16)[name = tensor("op_1054_cast_fp16")]; - tensor var_1055 = const()[name = tensor("op_1055"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_1057_split_sizes_0 = const()[name = tensor("op_1057_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_1057_axis_0 = const()[name = tensor("op_1057_axis_0"), val = tensor(0)]; - tensor transpose_74_cast_fp16 = transpose(perm = var_1055, x = op_1054_cast_fp16)[name = tensor("transpose_74")]; - tensor op_1057_cast_fp16_0, tensor op_1057_cast_fp16_1, tensor op_1057_cast_fp16_2 = split(axis = var_1057_axis_0, split_sizes = var_1057_split_sizes_0, x = transpose_74_cast_fp16)[name = tensor("op_1057_cast_fp16")]; - tensor squeeze_45_axes_0 = const()[name = tensor("squeeze_45_axes_0"), val = tensor([0])]; - tensor squeeze_45_cast_fp16 = squeeze(axes = squeeze_45_axes_0, x = op_1057_cast_fp16_0)[name = tensor("squeeze_45_cast_fp16")]; - tensor squeeze_46_axes_0 = const()[name = tensor("squeeze_46_axes_0"), val = tensor([0])]; - tensor squeeze_46_cast_fp16 = squeeze(axes = squeeze_46_axes_0, x = op_1057_cast_fp16_1)[name = tensor("squeeze_46_cast_fp16")]; - tensor squeeze_47_axes_0 = const()[name = tensor("squeeze_47_axes_0"), val = tensor([0])]; - tensor squeeze_47_cast_fp16 = squeeze(axes = squeeze_47_axes_0, x = op_1057_cast_fp16_2)[name = tensor("squeeze_47_cast_fp16")]; - tensor mul_15_y_0_to_fp16 = const()[name = tensor("mul_15_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_15_cast_fp16 = mul(x = squeeze_45_cast_fp16, y = mul_15_y_0_to_fp16)[name = tensor("mul_15_cast_fp16")]; - tensor matmul_15_transpose_y_0 = const()[name = tensor("matmul_15_transpose_y_0"), val = tensor(true)]; - tensor matmul_15_transpose_x_0 = const()[name = tensor("matmul_15_transpose_x_0"), val = tensor(false)]; - tensor matmul_15_cast_fp16 = matmul(transpose_x = matmul_15_transpose_x_0, transpose_y = matmul_15_transpose_y_0, x = mul_15_cast_fp16, y = squeeze_46_cast_fp16)[name = tensor("matmul_15_cast_fp16")]; - tensor softmax_15_axis_0 = const()[name = tensor("softmax_15_axis_0"), val = tensor(-1)]; - tensor softmax_15_cast_fp16 = softmax(axis = softmax_15_axis_0, x = matmul_15_cast_fp16)[name = tensor("softmax_15_cast_fp16")]; - tensor x_135_transpose_x_0 = const()[name = tensor("x_135_transpose_x_0"), val = tensor(false)]; - tensor x_135_transpose_y_0 = const()[name = tensor("x_135_transpose_y_0"), val = tensor(false)]; - tensor x_135_cast_fp16 = matmul(transpose_x = x_135_transpose_x_0, transpose_y = x_135_transpose_y_0, x = softmax_15_cast_fp16, y = squeeze_47_cast_fp16)[name = tensor("x_135_cast_fp16")]; - tensor var_1062_perm_0 = const()[name = tensor("op_1062_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_1063 = const()[name = tensor("op_1063"), val = tensor([35, 577, 1024])]; - tensor transpose_73_cast_fp16 = transpose(perm = var_1062_perm_0, x = x_135_cast_fp16)[name = tensor("transpose_73")]; - tensor input_275_cast_fp16 = reshape(shape = var_1063, x = transpose_73_cast_fp16)[name = tensor("input_275_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(387092160)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(389189376)))]; - tensor linear_61_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_attn_proj_weight_to_fp16, x = input_275_cast_fp16)[name = tensor("linear_61_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(389191488)))]; - tensor op_1070_cast_fp16 = mul(x = linear_61_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_ls1_gamma_to_fp16)[name = tensor("op_1070_cast_fp16")]; - tensor input_279_cast_fp16 = add(x = input_273_cast_fp16, y = op_1070_cast_fp16)[name = tensor("input_279_cast_fp16")]; - tensor input_281_axes_0 = const()[name = tensor("input_281_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(389193600)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(389195712)))]; - tensor input_281_cast_fp16 = layer_norm(axes = input_281_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_norm2_weight_to_fp16, x = input_279_cast_fp16)[name = tensor("input_281_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(389197824)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(397586496)))]; - tensor linear_62_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_mlp_fc1_weight_to_fp16, x = input_281_cast_fp16)[name = tensor("linear_62_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 = linear_62_cast_fp16)[name = tensor("input_285_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(397594752)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(405983424)))]; - tensor linear_63_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_mlp_fc2_weight_to_fp16, x = input_285_cast_fp16)[name = tensor("linear_63_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(405985536)))]; - tensor op_1088_cast_fp16 = mul(x = linear_63_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_ls2_gamma_to_fp16)[name = tensor("op_1088_cast_fp16")]; - tensor input_291_cast_fp16 = add(x = input_279_cast_fp16, y = op_1088_cast_fp16)[name = tensor("input_291_cast_fp16")]; - tensor x_141_axes_0 = const()[name = tensor("x_141_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(405987648)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(405989760)))]; - tensor x_141_cast_fp16 = layer_norm(axes = x_141_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_norm1_weight_to_fp16, x = input_291_cast_fp16)[name = tensor("x_141_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(405991872)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(412283392)))]; - tensor linear_64_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_attn_qkv_weight_to_fp16, x = x_141_cast_fp16)[name = tensor("linear_64_cast_fp16")]; - tensor var_1108 = const()[name = tensor("op_1108"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_1109_cast_fp16 = reshape(shape = var_1108, x = linear_64_cast_fp16)[name = tensor("op_1109_cast_fp16")]; - tensor var_1110 = const()[name = tensor("op_1110"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_1112_split_sizes_0 = const()[name = tensor("op_1112_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_1112_axis_0 = const()[name = tensor("op_1112_axis_0"), val = tensor(0)]; - tensor transpose_72_cast_fp16 = transpose(perm = var_1110, x = op_1109_cast_fp16)[name = tensor("transpose_72")]; - tensor op_1112_cast_fp16_0, tensor op_1112_cast_fp16_1, tensor op_1112_cast_fp16_2 = split(axis = var_1112_axis_0, split_sizes = var_1112_split_sizes_0, x = transpose_72_cast_fp16)[name = tensor("op_1112_cast_fp16")]; - tensor squeeze_48_axes_0 = const()[name = tensor("squeeze_48_axes_0"), val = tensor([0])]; - tensor squeeze_48_cast_fp16 = squeeze(axes = squeeze_48_axes_0, x = op_1112_cast_fp16_0)[name = tensor("squeeze_48_cast_fp16")]; - tensor squeeze_49_axes_0 = const()[name = tensor("squeeze_49_axes_0"), val = tensor([0])]; - tensor squeeze_49_cast_fp16 = squeeze(axes = squeeze_49_axes_0, x = op_1112_cast_fp16_1)[name = tensor("squeeze_49_cast_fp16")]; - tensor squeeze_50_axes_0 = const()[name = tensor("squeeze_50_axes_0"), val = tensor([0])]; - tensor squeeze_50_cast_fp16 = squeeze(axes = squeeze_50_axes_0, x = op_1112_cast_fp16_2)[name = tensor("squeeze_50_cast_fp16")]; - tensor mul_16_y_0_to_fp16 = const()[name = tensor("mul_16_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_16_cast_fp16 = mul(x = squeeze_48_cast_fp16, y = mul_16_y_0_to_fp16)[name = tensor("mul_16_cast_fp16")]; - tensor matmul_16_transpose_y_0 = const()[name = tensor("matmul_16_transpose_y_0"), val = tensor(true)]; - tensor matmul_16_transpose_x_0 = const()[name = tensor("matmul_16_transpose_x_0"), val = tensor(false)]; - tensor matmul_16_cast_fp16 = matmul(transpose_x = matmul_16_transpose_x_0, transpose_y = matmul_16_transpose_y_0, x = mul_16_cast_fp16, y = squeeze_49_cast_fp16)[name = tensor("matmul_16_cast_fp16")]; - tensor softmax_16_axis_0 = const()[name = tensor("softmax_16_axis_0"), val = tensor(-1)]; - tensor softmax_16_cast_fp16 = softmax(axis = softmax_16_axis_0, x = matmul_16_cast_fp16)[name = tensor("softmax_16_cast_fp16")]; - tensor x_143_transpose_x_0 = const()[name = tensor("x_143_transpose_x_0"), val = tensor(false)]; - tensor x_143_transpose_y_0 = const()[name = tensor("x_143_transpose_y_0"), val = tensor(false)]; - tensor x_143_cast_fp16 = matmul(transpose_x = x_143_transpose_x_0, transpose_y = x_143_transpose_y_0, x = softmax_16_cast_fp16, y = squeeze_50_cast_fp16)[name = tensor("x_143_cast_fp16")]; - tensor var_1117_perm_0 = const()[name = tensor("op_1117_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_1118 = const()[name = tensor("op_1118"), val = tensor([35, 577, 1024])]; - tensor transpose_71_cast_fp16 = transpose(perm = var_1117_perm_0, x = x_143_cast_fp16)[name = tensor("transpose_71")]; - tensor input_293_cast_fp16 = reshape(shape = var_1118, x = transpose_71_cast_fp16)[name = tensor("input_293_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(412289600)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(414386816)))]; - tensor linear_65_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_attn_proj_weight_to_fp16, x = input_293_cast_fp16)[name = tensor("linear_65_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(414388928)))]; - tensor op_1125_cast_fp16 = mul(x = linear_65_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_ls1_gamma_to_fp16)[name = tensor("op_1125_cast_fp16")]; - tensor input_297_cast_fp16 = add(x = input_291_cast_fp16, y = op_1125_cast_fp16)[name = tensor("input_297_cast_fp16")]; - tensor input_299_axes_0 = const()[name = tensor("input_299_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(414391040)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(414393152)))]; - tensor input_299_cast_fp16 = layer_norm(axes = input_299_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_norm2_weight_to_fp16, x = input_297_cast_fp16)[name = tensor("input_299_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(414395264)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(422783936)))]; - tensor linear_66_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_mlp_fc1_weight_to_fp16, x = input_299_cast_fp16)[name = tensor("linear_66_cast_fp16")]; - tensor input_303_mode_0 = const()[name = tensor("input_303_mode_0"), val = tensor("EXACT")]; - tensor input_303_cast_fp16 = gelu(mode = input_303_mode_0, x = linear_66_cast_fp16)[name = tensor("input_303_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(422792192)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(431180864)))]; - tensor linear_67_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_mlp_fc2_weight_to_fp16, x = input_303_cast_fp16)[name = tensor("linear_67_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(431182976)))]; - tensor op_1143_cast_fp16 = mul(x = linear_67_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_ls2_gamma_to_fp16)[name = tensor("op_1143_cast_fp16")]; - tensor input_309_cast_fp16 = add(x = input_297_cast_fp16, y = op_1143_cast_fp16)[name = tensor("input_309_cast_fp16")]; - tensor x_149_axes_0 = const()[name = tensor("x_149_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(431185088)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(431187200)))]; - tensor x_149_cast_fp16 = layer_norm(axes = x_149_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_norm1_weight_to_fp16, x = input_309_cast_fp16)[name = tensor("x_149_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(431189312)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(437480832)))]; - tensor linear_68_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_attn_qkv_weight_to_fp16, x = x_149_cast_fp16)[name = tensor("linear_68_cast_fp16")]; - tensor var_1163 = const()[name = tensor("op_1163"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_1164_cast_fp16 = reshape(shape = var_1163, x = linear_68_cast_fp16)[name = tensor("op_1164_cast_fp16")]; - tensor var_1165 = const()[name = tensor("op_1165"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_1167_split_sizes_0 = const()[name = tensor("op_1167_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_1167_axis_0 = const()[name = tensor("op_1167_axis_0"), val = tensor(0)]; - tensor transpose_70_cast_fp16 = transpose(perm = var_1165, x = op_1164_cast_fp16)[name = tensor("transpose_70")]; - tensor op_1167_cast_fp16_0, tensor op_1167_cast_fp16_1, tensor op_1167_cast_fp16_2 = split(axis = var_1167_axis_0, split_sizes = var_1167_split_sizes_0, x = transpose_70_cast_fp16)[name = tensor("op_1167_cast_fp16")]; - tensor squeeze_51_axes_0 = const()[name = tensor("squeeze_51_axes_0"), val = tensor([0])]; - tensor squeeze_51_cast_fp16 = squeeze(axes = squeeze_51_axes_0, x = op_1167_cast_fp16_0)[name = tensor("squeeze_51_cast_fp16")]; - tensor squeeze_52_axes_0 = const()[name = tensor("squeeze_52_axes_0"), val = tensor([0])]; - tensor squeeze_52_cast_fp16 = squeeze(axes = squeeze_52_axes_0, x = op_1167_cast_fp16_1)[name = tensor("squeeze_52_cast_fp16")]; - tensor squeeze_53_axes_0 = const()[name = tensor("squeeze_53_axes_0"), val = tensor([0])]; - tensor squeeze_53_cast_fp16 = squeeze(axes = squeeze_53_axes_0, x = op_1167_cast_fp16_2)[name = tensor("squeeze_53_cast_fp16")]; - tensor mul_17_y_0_to_fp16 = const()[name = tensor("mul_17_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_17_cast_fp16 = mul(x = squeeze_51_cast_fp16, y = mul_17_y_0_to_fp16)[name = tensor("mul_17_cast_fp16")]; - tensor matmul_17_transpose_y_0 = const()[name = tensor("matmul_17_transpose_y_0"), val = tensor(true)]; - tensor matmul_17_transpose_x_0 = const()[name = tensor("matmul_17_transpose_x_0"), val = tensor(false)]; - tensor matmul_17_cast_fp16 = matmul(transpose_x = matmul_17_transpose_x_0, transpose_y = matmul_17_transpose_y_0, x = mul_17_cast_fp16, y = squeeze_52_cast_fp16)[name = tensor("matmul_17_cast_fp16")]; - tensor softmax_17_axis_0 = const()[name = tensor("softmax_17_axis_0"), val = tensor(-1)]; - tensor softmax_17_cast_fp16 = softmax(axis = softmax_17_axis_0, x = matmul_17_cast_fp16)[name = tensor("softmax_17_cast_fp16")]; - tensor x_151_transpose_x_0 = const()[name = tensor("x_151_transpose_x_0"), val = tensor(false)]; - tensor x_151_transpose_y_0 = const()[name = tensor("x_151_transpose_y_0"), val = tensor(false)]; - tensor x_151_cast_fp16 = matmul(transpose_x = x_151_transpose_x_0, transpose_y = x_151_transpose_y_0, x = softmax_17_cast_fp16, y = squeeze_53_cast_fp16)[name = tensor("x_151_cast_fp16")]; - tensor var_1172_perm_0 = const()[name = tensor("op_1172_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_1173 = const()[name = tensor("op_1173"), val = tensor([35, 577, 1024])]; - tensor transpose_69_cast_fp16 = transpose(perm = var_1172_perm_0, x = x_151_cast_fp16)[name = tensor("transpose_69")]; - tensor input_311_cast_fp16 = reshape(shape = var_1173, x = transpose_69_cast_fp16)[name = tensor("input_311_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(437487040)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(439584256)))]; - tensor linear_69_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_attn_proj_weight_to_fp16, x = input_311_cast_fp16)[name = tensor("linear_69_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(439586368)))]; - tensor op_1180_cast_fp16 = mul(x = linear_69_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_ls1_gamma_to_fp16)[name = tensor("op_1180_cast_fp16")]; - tensor input_315_cast_fp16 = add(x = input_309_cast_fp16, y = op_1180_cast_fp16)[name = tensor("input_315_cast_fp16")]; - tensor input_317_axes_0 = const()[name = tensor("input_317_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(439588480)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(439590592)))]; - tensor input_317_cast_fp16 = layer_norm(axes = input_317_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_norm2_weight_to_fp16, x = input_315_cast_fp16)[name = tensor("input_317_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(439592704)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(447981376)))]; - tensor linear_70_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_mlp_fc1_weight_to_fp16, x = input_317_cast_fp16)[name = tensor("linear_70_cast_fp16")]; - tensor input_321_mode_0 = const()[name = tensor("input_321_mode_0"), val = tensor("EXACT")]; - tensor input_321_cast_fp16 = gelu(mode = input_321_mode_0, x = linear_70_cast_fp16)[name = tensor("input_321_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(447989632)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(456378304)))]; - tensor linear_71_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_mlp_fc2_weight_to_fp16, x = input_321_cast_fp16)[name = tensor("linear_71_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(456380416)))]; - tensor op_1198_cast_fp16 = mul(x = linear_71_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_ls2_gamma_to_fp16)[name = tensor("op_1198_cast_fp16")]; - tensor input_327_cast_fp16 = add(x = input_315_cast_fp16, y = op_1198_cast_fp16)[name = tensor("input_327_cast_fp16")]; - tensor x_157_axes_0 = const()[name = tensor("x_157_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(456382528)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(456384640)))]; - tensor x_157_cast_fp16 = layer_norm(axes = x_157_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_norm1_weight_to_fp16, x = input_327_cast_fp16)[name = tensor("x_157_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(456386752)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(462678272)))]; - tensor linear_72_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_attn_qkv_weight_to_fp16, x = x_157_cast_fp16)[name = tensor("linear_72_cast_fp16")]; - tensor var_1218 = const()[name = tensor("op_1218"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_1219_cast_fp16 = reshape(shape = var_1218, x = linear_72_cast_fp16)[name = tensor("op_1219_cast_fp16")]; - tensor var_1220 = const()[name = tensor("op_1220"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_1222_split_sizes_0 = const()[name = tensor("op_1222_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_1222_axis_0 = const()[name = tensor("op_1222_axis_0"), val = tensor(0)]; - tensor transpose_68_cast_fp16 = transpose(perm = var_1220, x = op_1219_cast_fp16)[name = tensor("transpose_68")]; - tensor op_1222_cast_fp16_0, tensor op_1222_cast_fp16_1, tensor op_1222_cast_fp16_2 = split(axis = var_1222_axis_0, split_sizes = var_1222_split_sizes_0, x = transpose_68_cast_fp16)[name = tensor("op_1222_cast_fp16")]; - tensor squeeze_54_axes_0 = const()[name = tensor("squeeze_54_axes_0"), val = tensor([0])]; - tensor squeeze_54_cast_fp16 = squeeze(axes = squeeze_54_axes_0, x = op_1222_cast_fp16_0)[name = tensor("squeeze_54_cast_fp16")]; - tensor squeeze_55_axes_0 = const()[name = tensor("squeeze_55_axes_0"), val = tensor([0])]; - tensor squeeze_55_cast_fp16 = squeeze(axes = squeeze_55_axes_0, x = op_1222_cast_fp16_1)[name = tensor("squeeze_55_cast_fp16")]; - tensor squeeze_56_axes_0 = const()[name = tensor("squeeze_56_axes_0"), val = tensor([0])]; - tensor squeeze_56_cast_fp16 = squeeze(axes = squeeze_56_axes_0, x = op_1222_cast_fp16_2)[name = tensor("squeeze_56_cast_fp16")]; - tensor mul_18_y_0_to_fp16 = const()[name = tensor("mul_18_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_18_cast_fp16 = mul(x = squeeze_54_cast_fp16, y = mul_18_y_0_to_fp16)[name = tensor("mul_18_cast_fp16")]; - tensor matmul_18_transpose_y_0 = const()[name = tensor("matmul_18_transpose_y_0"), val = tensor(true)]; - tensor matmul_18_transpose_x_0 = const()[name = tensor("matmul_18_transpose_x_0"), val = tensor(false)]; - tensor matmul_18_cast_fp16 = matmul(transpose_x = matmul_18_transpose_x_0, transpose_y = matmul_18_transpose_y_0, x = mul_18_cast_fp16, y = squeeze_55_cast_fp16)[name = tensor("matmul_18_cast_fp16")]; - tensor softmax_18_axis_0 = const()[name = tensor("softmax_18_axis_0"), val = tensor(-1)]; - tensor softmax_18_cast_fp16 = softmax(axis = softmax_18_axis_0, x = matmul_18_cast_fp16)[name = tensor("softmax_18_cast_fp16")]; - tensor x_159_transpose_x_0 = const()[name = tensor("x_159_transpose_x_0"), val = tensor(false)]; - tensor x_159_transpose_y_0 = const()[name = tensor("x_159_transpose_y_0"), val = tensor(false)]; - tensor x_159_cast_fp16 = matmul(transpose_x = x_159_transpose_x_0, transpose_y = x_159_transpose_y_0, x = softmax_18_cast_fp16, y = squeeze_56_cast_fp16)[name = tensor("x_159_cast_fp16")]; - tensor var_1227_perm_0 = const()[name = tensor("op_1227_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_1228 = const()[name = tensor("op_1228"), val = tensor([35, 577, 1024])]; - tensor transpose_67_cast_fp16 = transpose(perm = var_1227_perm_0, x = x_159_cast_fp16)[name = tensor("transpose_67")]; - tensor input_329_cast_fp16 = reshape(shape = var_1228, x = transpose_67_cast_fp16)[name = tensor("input_329_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(462684480)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(464781696)))]; - tensor linear_73_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_attn_proj_weight_to_fp16, x = input_329_cast_fp16)[name = tensor("linear_73_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(464783808)))]; - tensor op_1235_cast_fp16 = mul(x = linear_73_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_ls1_gamma_to_fp16)[name = tensor("op_1235_cast_fp16")]; - tensor input_333_cast_fp16 = add(x = input_327_cast_fp16, y = op_1235_cast_fp16)[name = tensor("input_333_cast_fp16")]; - tensor input_335_axes_0 = const()[name = tensor("input_335_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(464785920)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(464788032)))]; - tensor input_335_cast_fp16 = layer_norm(axes = input_335_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_norm2_weight_to_fp16, x = input_333_cast_fp16)[name = tensor("input_335_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(464790144)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(473178816)))]; - tensor linear_74_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_mlp_fc1_weight_to_fp16, x = input_335_cast_fp16)[name = tensor("linear_74_cast_fp16")]; - tensor input_339_mode_0 = const()[name = tensor("input_339_mode_0"), val = tensor("EXACT")]; - tensor input_339_cast_fp16 = gelu(mode = input_339_mode_0, x = linear_74_cast_fp16)[name = tensor("input_339_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(473187072)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(481575744)))]; - tensor linear_75_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_mlp_fc2_weight_to_fp16, x = input_339_cast_fp16)[name = tensor("linear_75_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(481577856)))]; - tensor op_1253_cast_fp16 = mul(x = linear_75_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_ls2_gamma_to_fp16)[name = tensor("op_1253_cast_fp16")]; - tensor input_345_cast_fp16 = add(x = input_333_cast_fp16, y = op_1253_cast_fp16)[name = tensor("input_345_cast_fp16")]; - tensor x_165_axes_0 = const()[name = tensor("x_165_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(481579968)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(481582080)))]; - tensor x_165_cast_fp16 = layer_norm(axes = x_165_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_norm1_weight_to_fp16, x = input_345_cast_fp16)[name = tensor("x_165_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(481584192)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(487875712)))]; - tensor linear_76_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_attn_qkv_weight_to_fp16, x = x_165_cast_fp16)[name = tensor("linear_76_cast_fp16")]; - tensor var_1273 = const()[name = tensor("op_1273"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_1274_cast_fp16 = reshape(shape = var_1273, x = linear_76_cast_fp16)[name = tensor("op_1274_cast_fp16")]; - tensor var_1275 = const()[name = tensor("op_1275"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_1277_split_sizes_0 = const()[name = tensor("op_1277_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_1277_axis_0 = const()[name = tensor("op_1277_axis_0"), val = tensor(0)]; - tensor transpose_66_cast_fp16 = transpose(perm = var_1275, x = op_1274_cast_fp16)[name = tensor("transpose_66")]; - tensor op_1277_cast_fp16_0, tensor op_1277_cast_fp16_1, tensor op_1277_cast_fp16_2 = split(axis = var_1277_axis_0, split_sizes = var_1277_split_sizes_0, x = transpose_66_cast_fp16)[name = tensor("op_1277_cast_fp16")]; - tensor squeeze_57_axes_0 = const()[name = tensor("squeeze_57_axes_0"), val = tensor([0])]; - tensor squeeze_57_cast_fp16 = squeeze(axes = squeeze_57_axes_0, x = op_1277_cast_fp16_0)[name = tensor("squeeze_57_cast_fp16")]; - tensor squeeze_58_axes_0 = const()[name = tensor("squeeze_58_axes_0"), val = tensor([0])]; - tensor squeeze_58_cast_fp16 = squeeze(axes = squeeze_58_axes_0, x = op_1277_cast_fp16_1)[name = tensor("squeeze_58_cast_fp16")]; - tensor squeeze_59_axes_0 = const()[name = tensor("squeeze_59_axes_0"), val = tensor([0])]; - tensor squeeze_59_cast_fp16 = squeeze(axes = squeeze_59_axes_0, x = op_1277_cast_fp16_2)[name = tensor("squeeze_59_cast_fp16")]; - tensor mul_19_y_0_to_fp16 = const()[name = tensor("mul_19_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_19_cast_fp16 = mul(x = squeeze_57_cast_fp16, y = mul_19_y_0_to_fp16)[name = tensor("mul_19_cast_fp16")]; - tensor matmul_19_transpose_y_0 = const()[name = tensor("matmul_19_transpose_y_0"), val = tensor(true)]; - tensor matmul_19_transpose_x_0 = const()[name = tensor("matmul_19_transpose_x_0"), val = tensor(false)]; - tensor matmul_19_cast_fp16 = matmul(transpose_x = matmul_19_transpose_x_0, transpose_y = matmul_19_transpose_y_0, x = mul_19_cast_fp16, y = squeeze_58_cast_fp16)[name = tensor("matmul_19_cast_fp16")]; - tensor softmax_19_axis_0 = const()[name = tensor("softmax_19_axis_0"), val = tensor(-1)]; - tensor softmax_19_cast_fp16 = softmax(axis = softmax_19_axis_0, x = matmul_19_cast_fp16)[name = tensor("softmax_19_cast_fp16")]; - tensor x_167_transpose_x_0 = const()[name = tensor("x_167_transpose_x_0"), val = tensor(false)]; - tensor x_167_transpose_y_0 = const()[name = tensor("x_167_transpose_y_0"), val = tensor(false)]; - tensor x_167_cast_fp16 = matmul(transpose_x = x_167_transpose_x_0, transpose_y = x_167_transpose_y_0, x = softmax_19_cast_fp16, y = squeeze_59_cast_fp16)[name = tensor("x_167_cast_fp16")]; - tensor var_1282_perm_0 = const()[name = tensor("op_1282_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_1283 = const()[name = tensor("op_1283"), val = tensor([35, 577, 1024])]; - tensor transpose_65_cast_fp16 = transpose(perm = var_1282_perm_0, x = x_167_cast_fp16)[name = tensor("transpose_65")]; - tensor input_347_cast_fp16 = reshape(shape = var_1283, x = transpose_65_cast_fp16)[name = tensor("input_347_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(487881920)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(489979136)))]; - tensor linear_77_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_attn_proj_weight_to_fp16, x = input_347_cast_fp16)[name = tensor("linear_77_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(489981248)))]; - tensor op_1290_cast_fp16 = mul(x = linear_77_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_ls1_gamma_to_fp16)[name = tensor("op_1290_cast_fp16")]; - tensor input_351_cast_fp16 = add(x = input_345_cast_fp16, y = op_1290_cast_fp16)[name = tensor("input_351_cast_fp16")]; - tensor input_353_axes_0 = const()[name = tensor("input_353_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(489983360)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(489985472)))]; - tensor input_353_cast_fp16 = layer_norm(axes = input_353_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_norm2_weight_to_fp16, x = input_351_cast_fp16)[name = tensor("input_353_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(489987584)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(498376256)))]; - tensor linear_78_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_mlp_fc1_weight_to_fp16, x = input_353_cast_fp16)[name = tensor("linear_78_cast_fp16")]; - tensor input_357_mode_0 = const()[name = tensor("input_357_mode_0"), val = tensor("EXACT")]; - tensor input_357_cast_fp16 = gelu(mode = input_357_mode_0, x = linear_78_cast_fp16)[name = tensor("input_357_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(498384512)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(506773184)))]; - tensor linear_79_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_mlp_fc2_weight_to_fp16, x = input_357_cast_fp16)[name = tensor("linear_79_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(506775296)))]; - tensor op_1308_cast_fp16 = mul(x = linear_79_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_ls2_gamma_to_fp16)[name = tensor("op_1308_cast_fp16")]; - tensor input_363_cast_fp16 = add(x = input_351_cast_fp16, y = op_1308_cast_fp16)[name = tensor("input_363_cast_fp16")]; - tensor x_173_axes_0 = const()[name = tensor("x_173_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(506777408)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(506779520)))]; - tensor x_173_cast_fp16 = layer_norm(axes = x_173_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_norm1_weight_to_fp16, x = input_363_cast_fp16)[name = tensor("x_173_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(506781632)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(513073152)))]; - tensor linear_80_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_attn_qkv_weight_to_fp16, x = x_173_cast_fp16)[name = tensor("linear_80_cast_fp16")]; - tensor var_1328 = const()[name = tensor("op_1328"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_1329_cast_fp16 = reshape(shape = var_1328, x = linear_80_cast_fp16)[name = tensor("op_1329_cast_fp16")]; - tensor var_1330 = const()[name = tensor("op_1330"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_1332_split_sizes_0 = const()[name = tensor("op_1332_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_1332_axis_0 = const()[name = tensor("op_1332_axis_0"), val = tensor(0)]; - tensor transpose_64_cast_fp16 = transpose(perm = var_1330, x = op_1329_cast_fp16)[name = tensor("transpose_64")]; - tensor op_1332_cast_fp16_0, tensor op_1332_cast_fp16_1, tensor op_1332_cast_fp16_2 = split(axis = var_1332_axis_0, split_sizes = var_1332_split_sizes_0, x = transpose_64_cast_fp16)[name = tensor("op_1332_cast_fp16")]; - tensor squeeze_60_axes_0 = const()[name = tensor("squeeze_60_axes_0"), val = tensor([0])]; - tensor squeeze_60_cast_fp16 = squeeze(axes = squeeze_60_axes_0, x = op_1332_cast_fp16_0)[name = tensor("squeeze_60_cast_fp16")]; - tensor squeeze_61_axes_0 = const()[name = tensor("squeeze_61_axes_0"), val = tensor([0])]; - tensor squeeze_61_cast_fp16 = squeeze(axes = squeeze_61_axes_0, x = op_1332_cast_fp16_1)[name = tensor("squeeze_61_cast_fp16")]; - tensor squeeze_62_axes_0 = const()[name = tensor("squeeze_62_axes_0"), val = tensor([0])]; - tensor squeeze_62_cast_fp16 = squeeze(axes = squeeze_62_axes_0, x = op_1332_cast_fp16_2)[name = tensor("squeeze_62_cast_fp16")]; - tensor mul_20_y_0_to_fp16 = const()[name = tensor("mul_20_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_20_cast_fp16 = mul(x = squeeze_60_cast_fp16, y = mul_20_y_0_to_fp16)[name = tensor("mul_20_cast_fp16")]; - tensor matmul_20_transpose_y_0 = const()[name = tensor("matmul_20_transpose_y_0"), val = tensor(true)]; - tensor matmul_20_transpose_x_0 = const()[name = tensor("matmul_20_transpose_x_0"), val = tensor(false)]; - tensor matmul_20_cast_fp16 = matmul(transpose_x = matmul_20_transpose_x_0, transpose_y = matmul_20_transpose_y_0, x = mul_20_cast_fp16, y = squeeze_61_cast_fp16)[name = tensor("matmul_20_cast_fp16")]; - tensor softmax_20_axis_0 = const()[name = tensor("softmax_20_axis_0"), val = tensor(-1)]; - tensor softmax_20_cast_fp16 = softmax(axis = softmax_20_axis_0, x = matmul_20_cast_fp16)[name = tensor("softmax_20_cast_fp16")]; - tensor x_175_transpose_x_0 = const()[name = tensor("x_175_transpose_x_0"), val = tensor(false)]; - tensor x_175_transpose_y_0 = const()[name = tensor("x_175_transpose_y_0"), val = tensor(false)]; - tensor x_175_cast_fp16 = matmul(transpose_x = x_175_transpose_x_0, transpose_y = x_175_transpose_y_0, x = softmax_20_cast_fp16, y = squeeze_62_cast_fp16)[name = tensor("x_175_cast_fp16")]; - tensor var_1337_perm_0 = const()[name = tensor("op_1337_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_1338 = const()[name = tensor("op_1338"), val = tensor([35, 577, 1024])]; - tensor transpose_63_cast_fp16 = transpose(perm = var_1337_perm_0, x = x_175_cast_fp16)[name = tensor("transpose_63")]; - tensor input_365_cast_fp16 = reshape(shape = var_1338, x = transpose_63_cast_fp16)[name = tensor("input_365_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(513079360)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(515176576)))]; - tensor linear_81_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_attn_proj_weight_to_fp16, x = input_365_cast_fp16)[name = tensor("linear_81_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(515178688)))]; - tensor op_1345_cast_fp16 = mul(x = linear_81_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_ls1_gamma_to_fp16)[name = tensor("op_1345_cast_fp16")]; - tensor input_369_cast_fp16 = add(x = input_363_cast_fp16, y = op_1345_cast_fp16)[name = tensor("input_369_cast_fp16")]; - tensor input_371_axes_0 = const()[name = tensor("input_371_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(515180800)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(515182912)))]; - tensor input_371_cast_fp16 = layer_norm(axes = input_371_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_norm2_weight_to_fp16, x = input_369_cast_fp16)[name = tensor("input_371_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(515185024)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(523573696)))]; - tensor linear_82_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_mlp_fc1_weight_to_fp16, x = input_371_cast_fp16)[name = tensor("linear_82_cast_fp16")]; - tensor input_375_mode_0 = const()[name = tensor("input_375_mode_0"), val = tensor("EXACT")]; - tensor input_375_cast_fp16 = gelu(mode = input_375_mode_0, x = linear_82_cast_fp16)[name = tensor("input_375_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(523581952)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(531970624)))]; - tensor linear_83_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_mlp_fc2_weight_to_fp16, x = input_375_cast_fp16)[name = tensor("linear_83_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(531972736)))]; - tensor op_1363_cast_fp16 = mul(x = linear_83_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_ls2_gamma_to_fp16)[name = tensor("op_1363_cast_fp16")]; - tensor input_381_cast_fp16 = add(x = input_369_cast_fp16, y = op_1363_cast_fp16)[name = tensor("input_381_cast_fp16")]; - tensor x_181_axes_0 = const()[name = tensor("x_181_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(531974848)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(531976960)))]; - tensor x_181_cast_fp16 = layer_norm(axes = x_181_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_norm1_weight_to_fp16, x = input_381_cast_fp16)[name = tensor("x_181_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(531979072)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(538270592)))]; - tensor linear_84_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_attn_qkv_weight_to_fp16, x = x_181_cast_fp16)[name = tensor("linear_84_cast_fp16")]; - tensor var_1383 = const()[name = tensor("op_1383"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_1384_cast_fp16 = reshape(shape = var_1383, x = linear_84_cast_fp16)[name = tensor("op_1384_cast_fp16")]; - tensor var_1385 = const()[name = tensor("op_1385"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_1387_split_sizes_0 = const()[name = tensor("op_1387_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_1387_axis_0 = const()[name = tensor("op_1387_axis_0"), val = tensor(0)]; - tensor transpose_62_cast_fp16 = transpose(perm = var_1385, x = op_1384_cast_fp16)[name = tensor("transpose_62")]; - tensor op_1387_cast_fp16_0, tensor op_1387_cast_fp16_1, tensor op_1387_cast_fp16_2 = split(axis = var_1387_axis_0, split_sizes = var_1387_split_sizes_0, x = transpose_62_cast_fp16)[name = tensor("op_1387_cast_fp16")]; - tensor squeeze_63_axes_0 = const()[name = tensor("squeeze_63_axes_0"), val = tensor([0])]; - tensor squeeze_63_cast_fp16 = squeeze(axes = squeeze_63_axes_0, x = op_1387_cast_fp16_0)[name = tensor("squeeze_63_cast_fp16")]; - tensor squeeze_64_axes_0 = const()[name = tensor("squeeze_64_axes_0"), val = tensor([0])]; - tensor squeeze_64_cast_fp16 = squeeze(axes = squeeze_64_axes_0, x = op_1387_cast_fp16_1)[name = tensor("squeeze_64_cast_fp16")]; - tensor squeeze_65_axes_0 = const()[name = tensor("squeeze_65_axes_0"), val = tensor([0])]; - tensor squeeze_65_cast_fp16 = squeeze(axes = squeeze_65_axes_0, x = op_1387_cast_fp16_2)[name = tensor("squeeze_65_cast_fp16")]; - tensor mul_21_y_0_to_fp16 = const()[name = tensor("mul_21_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_21_cast_fp16 = mul(x = squeeze_63_cast_fp16, y = mul_21_y_0_to_fp16)[name = tensor("mul_21_cast_fp16")]; - tensor matmul_21_transpose_y_0 = const()[name = tensor("matmul_21_transpose_y_0"), val = tensor(true)]; - tensor matmul_21_transpose_x_0 = const()[name = tensor("matmul_21_transpose_x_0"), val = tensor(false)]; - tensor matmul_21_cast_fp16 = matmul(transpose_x = matmul_21_transpose_x_0, transpose_y = matmul_21_transpose_y_0, x = mul_21_cast_fp16, y = squeeze_64_cast_fp16)[name = tensor("matmul_21_cast_fp16")]; - tensor softmax_21_axis_0 = const()[name = tensor("softmax_21_axis_0"), val = tensor(-1)]; - tensor softmax_21_cast_fp16 = softmax(axis = softmax_21_axis_0, x = matmul_21_cast_fp16)[name = tensor("softmax_21_cast_fp16")]; - tensor x_183_transpose_x_0 = const()[name = tensor("x_183_transpose_x_0"), val = tensor(false)]; - tensor x_183_transpose_y_0 = const()[name = tensor("x_183_transpose_y_0"), val = tensor(false)]; - tensor x_183_cast_fp16 = matmul(transpose_x = x_183_transpose_x_0, transpose_y = x_183_transpose_y_0, x = softmax_21_cast_fp16, y = squeeze_65_cast_fp16)[name = tensor("x_183_cast_fp16")]; - tensor var_1392_perm_0 = const()[name = tensor("op_1392_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_1393 = const()[name = tensor("op_1393"), val = tensor([35, 577, 1024])]; - tensor transpose_61_cast_fp16 = transpose(perm = var_1392_perm_0, x = x_183_cast_fp16)[name = tensor("transpose_61")]; - tensor input_383_cast_fp16 = reshape(shape = var_1393, x = transpose_61_cast_fp16)[name = tensor("input_383_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(538276800)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(540374016)))]; - tensor linear_85_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_attn_proj_weight_to_fp16, x = input_383_cast_fp16)[name = tensor("linear_85_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(540376128)))]; - tensor op_1400_cast_fp16 = mul(x = linear_85_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_ls1_gamma_to_fp16)[name = tensor("op_1400_cast_fp16")]; - tensor input_387_cast_fp16 = add(x = input_381_cast_fp16, y = op_1400_cast_fp16)[name = tensor("input_387_cast_fp16")]; - tensor input_389_axes_0 = const()[name = tensor("input_389_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(540378240)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(540380352)))]; - tensor input_389_cast_fp16 = layer_norm(axes = input_389_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_norm2_weight_to_fp16, x = input_387_cast_fp16)[name = tensor("input_389_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(540382464)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(548771136)))]; - tensor linear_86_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_mlp_fc1_weight_to_fp16, x = input_389_cast_fp16)[name = tensor("linear_86_cast_fp16")]; - tensor input_393_mode_0 = const()[name = tensor("input_393_mode_0"), val = tensor("EXACT")]; - tensor input_393_cast_fp16 = gelu(mode = input_393_mode_0, x = linear_86_cast_fp16)[name = tensor("input_393_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(548779392)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(557168064)))]; - tensor linear_87_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_mlp_fc2_weight_to_fp16, x = input_393_cast_fp16)[name = tensor("linear_87_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(557170176)))]; - tensor op_1418_cast_fp16 = mul(x = linear_87_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_ls2_gamma_to_fp16)[name = tensor("op_1418_cast_fp16")]; - tensor input_399_cast_fp16 = add(x = input_387_cast_fp16, y = op_1418_cast_fp16)[name = tensor("input_399_cast_fp16")]; - tensor x_189_axes_0 = const()[name = tensor("x_189_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(557172288)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(557174400)))]; - tensor x_189_cast_fp16 = layer_norm(axes = x_189_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_norm1_weight_to_fp16, x = input_399_cast_fp16)[name = tensor("x_189_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(557176512)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(563468032)))]; - tensor linear_88_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_attn_qkv_weight_to_fp16, x = x_189_cast_fp16)[name = tensor("linear_88_cast_fp16")]; - tensor var_1438 = const()[name = tensor("op_1438"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_1439_cast_fp16 = reshape(shape = var_1438, x = linear_88_cast_fp16)[name = tensor("op_1439_cast_fp16")]; - tensor var_1440 = const()[name = tensor("op_1440"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_1442_split_sizes_0 = const()[name = tensor("op_1442_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_1442_axis_0 = const()[name = tensor("op_1442_axis_0"), val = tensor(0)]; - tensor transpose_60_cast_fp16 = transpose(perm = var_1440, x = op_1439_cast_fp16)[name = tensor("transpose_60")]; - tensor op_1442_cast_fp16_0, tensor op_1442_cast_fp16_1, tensor op_1442_cast_fp16_2 = split(axis = var_1442_axis_0, split_sizes = var_1442_split_sizes_0, x = transpose_60_cast_fp16)[name = tensor("op_1442_cast_fp16")]; - tensor squeeze_66_axes_0 = const()[name = tensor("squeeze_66_axes_0"), val = tensor([0])]; - tensor squeeze_66_cast_fp16 = squeeze(axes = squeeze_66_axes_0, x = op_1442_cast_fp16_0)[name = tensor("squeeze_66_cast_fp16")]; - tensor squeeze_67_axes_0 = const()[name = tensor("squeeze_67_axes_0"), val = tensor([0])]; - tensor squeeze_67_cast_fp16 = squeeze(axes = squeeze_67_axes_0, x = op_1442_cast_fp16_1)[name = tensor("squeeze_67_cast_fp16")]; - tensor squeeze_68_axes_0 = const()[name = tensor("squeeze_68_axes_0"), val = tensor([0])]; - tensor squeeze_68_cast_fp16 = squeeze(axes = squeeze_68_axes_0, x = op_1442_cast_fp16_2)[name = tensor("squeeze_68_cast_fp16")]; - tensor mul_22_y_0_to_fp16 = const()[name = tensor("mul_22_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_22_cast_fp16 = mul(x = squeeze_66_cast_fp16, y = mul_22_y_0_to_fp16)[name = tensor("mul_22_cast_fp16")]; - tensor matmul_22_transpose_y_0 = const()[name = tensor("matmul_22_transpose_y_0"), val = tensor(true)]; - tensor matmul_22_transpose_x_0 = const()[name = tensor("matmul_22_transpose_x_0"), val = tensor(false)]; - tensor matmul_22_cast_fp16 = matmul(transpose_x = matmul_22_transpose_x_0, transpose_y = matmul_22_transpose_y_0, x = mul_22_cast_fp16, y = squeeze_67_cast_fp16)[name = tensor("matmul_22_cast_fp16")]; - tensor softmax_22_axis_0 = const()[name = tensor("softmax_22_axis_0"), val = tensor(-1)]; - tensor softmax_22_cast_fp16 = softmax(axis = softmax_22_axis_0, x = matmul_22_cast_fp16)[name = tensor("softmax_22_cast_fp16")]; - tensor x_191_transpose_x_0 = const()[name = tensor("x_191_transpose_x_0"), val = tensor(false)]; - tensor x_191_transpose_y_0 = const()[name = tensor("x_191_transpose_y_0"), val = tensor(false)]; - tensor x_191_cast_fp16 = matmul(transpose_x = x_191_transpose_x_0, transpose_y = x_191_transpose_y_0, x = softmax_22_cast_fp16, y = squeeze_68_cast_fp16)[name = tensor("x_191_cast_fp16")]; - tensor var_1447_perm_0 = const()[name = tensor("op_1447_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_1448 = const()[name = tensor("op_1448"), val = tensor([35, 577, 1024])]; - tensor transpose_59_cast_fp16 = transpose(perm = var_1447_perm_0, x = x_191_cast_fp16)[name = tensor("transpose_59")]; - tensor input_401_cast_fp16 = reshape(shape = var_1448, x = transpose_59_cast_fp16)[name = tensor("input_401_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(563474240)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(565571456)))]; - tensor linear_89_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_attn_proj_weight_to_fp16, x = input_401_cast_fp16)[name = tensor("linear_89_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(565573568)))]; - tensor op_1455_cast_fp16 = mul(x = linear_89_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_ls1_gamma_to_fp16)[name = tensor("op_1455_cast_fp16")]; - tensor input_405_cast_fp16 = add(x = input_399_cast_fp16, y = op_1455_cast_fp16)[name = tensor("input_405_cast_fp16")]; - tensor input_407_axes_0 = const()[name = tensor("input_407_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(565575680)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(565577792)))]; - tensor input_407_cast_fp16 = layer_norm(axes = input_407_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_norm2_weight_to_fp16, x = input_405_cast_fp16)[name = tensor("input_407_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(565579904)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(573968576)))]; - tensor linear_90_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_mlp_fc1_weight_to_fp16, x = input_407_cast_fp16)[name = tensor("linear_90_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 = linear_90_cast_fp16)[name = tensor("input_411_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(573976832)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(582365504)))]; - tensor linear_91_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_mlp_fc2_weight_to_fp16, x = input_411_cast_fp16)[name = tensor("linear_91_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(582367616)))]; - tensor op_1473_cast_fp16 = mul(x = linear_91_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_ls2_gamma_to_fp16)[name = tensor("op_1473_cast_fp16")]; - tensor input_417_cast_fp16 = add(x = input_405_cast_fp16, y = op_1473_cast_fp16)[name = tensor("input_417_cast_fp16")]; - tensor x_197_axes_0 = const()[name = tensor("x_197_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_norm1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_norm1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(582369728)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_norm1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_norm1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(582371840)))]; - tensor x_197_cast_fp16 = layer_norm(axes = x_197_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_norm1_weight_to_fp16, x = input_417_cast_fp16)[name = tensor("x_197_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(582373952)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(588665472)))]; - tensor linear_92_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_attn_qkv_weight_to_fp16, x = x_197_cast_fp16)[name = tensor("linear_92_cast_fp16")]; - tensor var_1493 = const()[name = tensor("op_1493"), val = tensor([35, 577, 3, 16, 64])]; - tensor op_1494_cast_fp16 = reshape(shape = var_1493, x = linear_92_cast_fp16)[name = tensor("op_1494_cast_fp16")]; - tensor var_1495 = const()[name = tensor("op_1495"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_1497_split_sizes_0 = const()[name = tensor("op_1497_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_1497_axis_0 = const()[name = tensor("op_1497_axis_0"), val = tensor(0)]; - tensor transpose_58_cast_fp16 = transpose(perm = var_1495, x = op_1494_cast_fp16)[name = tensor("transpose_58")]; - tensor op_1497_cast_fp16_0, tensor op_1497_cast_fp16_1, tensor op_1497_cast_fp16_2 = split(axis = var_1497_axis_0, split_sizes = var_1497_split_sizes_0, x = transpose_58_cast_fp16)[name = tensor("op_1497_cast_fp16")]; - tensor squeeze_69_axes_0 = const()[name = tensor("squeeze_69_axes_0"), val = tensor([0])]; - tensor squeeze_69_cast_fp16 = squeeze(axes = squeeze_69_axes_0, x = op_1497_cast_fp16_0)[name = tensor("squeeze_69_cast_fp16")]; - tensor squeeze_70_axes_0 = const()[name = tensor("squeeze_70_axes_0"), val = tensor([0])]; - tensor squeeze_70_cast_fp16 = squeeze(axes = squeeze_70_axes_0, x = op_1497_cast_fp16_1)[name = tensor("squeeze_70_cast_fp16")]; - tensor squeeze_71_axes_0 = const()[name = tensor("squeeze_71_axes_0"), val = tensor([0])]; - tensor squeeze_71_cast_fp16 = squeeze(axes = squeeze_71_axes_0, x = op_1497_cast_fp16_2)[name = tensor("squeeze_71_cast_fp16")]; - tensor mul_23_y_0_to_fp16 = const()[name = tensor("mul_23_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_23_cast_fp16 = mul(x = squeeze_69_cast_fp16, y = mul_23_y_0_to_fp16)[name = tensor("mul_23_cast_fp16")]; - tensor matmul_23_transpose_y_0 = const()[name = tensor("matmul_23_transpose_y_0"), val = tensor(true)]; - tensor matmul_23_transpose_x_0 = const()[name = tensor("matmul_23_transpose_x_0"), val = tensor(false)]; - tensor matmul_23_cast_fp16 = matmul(transpose_x = matmul_23_transpose_x_0, transpose_y = matmul_23_transpose_y_0, x = mul_23_cast_fp16, y = squeeze_70_cast_fp16)[name = tensor("matmul_23_cast_fp16")]; - tensor softmax_23_axis_0 = const()[name = tensor("softmax_23_axis_0"), val = tensor(-1)]; - tensor softmax_23_cast_fp16 = softmax(axis = softmax_23_axis_0, x = matmul_23_cast_fp16)[name = tensor("softmax_23_cast_fp16")]; - tensor x_199_transpose_x_0 = const()[name = tensor("x_199_transpose_x_0"), val = tensor(false)]; - tensor x_199_transpose_y_0 = const()[name = tensor("x_199_transpose_y_0"), val = tensor(false)]; - tensor x_199_cast_fp16 = matmul(transpose_x = x_199_transpose_x_0, transpose_y = x_199_transpose_y_0, x = softmax_23_cast_fp16, y = squeeze_71_cast_fp16)[name = tensor("x_199_cast_fp16")]; - tensor var_1502_perm_0 = const()[name = tensor("op_1502_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_1503 = const()[name = tensor("op_1503"), val = tensor([35, 577, 1024])]; - tensor transpose_57_cast_fp16 = transpose(perm = var_1502_perm_0, x = x_199_cast_fp16)[name = tensor("transpose_57")]; - tensor input_419_cast_fp16 = reshape(shape = var_1503, x = transpose_57_cast_fp16)[name = tensor("input_419_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(588671680)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(590768896)))]; - tensor linear_93_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_attn_proj_weight_to_fp16, x = input_419_cast_fp16)[name = tensor("linear_93_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(590771008)))]; - tensor op_1510_cast_fp16 = mul(x = linear_93_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_ls1_gamma_to_fp16)[name = tensor("op_1510_cast_fp16")]; - tensor input_423_cast_fp16 = add(x = input_417_cast_fp16, y = op_1510_cast_fp16)[name = tensor("input_423_cast_fp16")]; - tensor input_425_axes_0 = const()[name = tensor("input_425_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_norm2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_norm2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(590773120)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_norm2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_norm2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(590775232)))]; - tensor input_425_cast_fp16 = layer_norm(axes = input_425_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_norm2_weight_to_fp16, x = input_423_cast_fp16)[name = tensor("input_425_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(590777344)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(599166016)))]; - tensor linear_94_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_mlp_fc1_weight_to_fp16, x = input_425_cast_fp16)[name = tensor("linear_94_cast_fp16")]; - tensor input_429_mode_0 = const()[name = tensor("input_429_mode_0"), val = tensor("EXACT")]; - tensor input_429_cast_fp16 = gelu(mode = input_429_mode_0, x = linear_94_cast_fp16)[name = tensor("input_429_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(599174272)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(607562944)))]; - tensor linear_95_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_mlp_fc2_weight_to_fp16, x = input_429_cast_fp16)[name = tensor("linear_95_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(607565056)))]; - tensor op_1528_cast_fp16 = mul(x = linear_95_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_ls2_gamma_to_fp16)[name = tensor("op_1528_cast_fp16")]; - tensor input_435_cast_fp16 = add(x = input_423_cast_fp16, y = op_1528_cast_fp16)[name = tensor("input_435_cast_fp16")]; - tensor embeddings_1_axes_0 = const()[name = tensor("embeddings_1_axes_0"), val = tensor([-1])]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_norm_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_norm_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(607567168)))]; - tensor monodepth_model_monodepth_predictor_encoder_patch_encoder_norm_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_patch_encoder_norm_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(607569280)))]; - tensor embeddings_1_cast_fp16 = layer_norm(axes = embeddings_1_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_norm_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_norm_weight_to_fp16, x = input_435_cast_fp16)[name = tensor("embeddings_1_cast_fp16")]; - tensor var_1537_begin_0 = const()[name = tensor("op_1537_begin_0"), val = tensor([0, 1, 0])]; - tensor var_1537_end_0 = const()[name = tensor("op_1537_end_0"), val = tensor([35, 577, 1024])]; - tensor var_1537_end_mask_0 = const()[name = tensor("op_1537_end_mask_0"), val = tensor([true, true, true])]; - tensor op_1537_cast_fp16 = slice_by_index(begin = var_1537_begin_0, end = var_1537_end_0, end_mask = var_1537_end_mask_0, x = embeddings_1_cast_fp16)[name = tensor("op_1537_cast_fp16")]; - tensor var_1539 = const()[name = tensor("op_1539"), val = tensor([35, 24, 24, 1024])]; - tensor op_1540_cast_fp16 = reshape(shape = var_1539, x = op_1537_cast_fp16)[name = tensor("op_1540_cast_fp16")]; - tensor var_1541 = const()[name = tensor("op_1541"), val = tensor([0, 3, 1, 2])]; - tensor var_1550_begin_0 = const()[name = tensor("op_1550_begin_0"), val = tensor([0, 1, 0])]; - tensor var_1550_end_0 = const()[name = tensor("op_1550_end_0"), val = tensor([35, 577, 1024])]; - tensor var_1550_end_mask_0 = const()[name = tensor("op_1550_end_mask_0"), val = tensor([true, true, true])]; - tensor op_1550_cast_fp16 = slice_by_index(begin = var_1550_begin_0, end = var_1550_end_0, end_mask = var_1550_end_mask_0, x = input_111_cast_fp16)[name = tensor("op_1550_cast_fp16")]; - tensor var_1552 = const()[name = tensor("op_1552"), val = tensor([35, 24, 24, 1024])]; - tensor op_1553_cast_fp16 = reshape(shape = var_1552, x = op_1550_cast_fp16)[name = tensor("op_1553_cast_fp16")]; - tensor var_1554 = const()[name = tensor("op_1554"), val = tensor([0, 3, 1, 2])]; - tensor image_patches_1_begin_0 = const()[name = tensor("image_patches_1_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor image_patches_1_end_0 = const()[name = tensor("image_patches_1_end_0"), val = tensor([25, 1024, 24, 24])]; - tensor image_patches_1_end_mask_0 = const()[name = tensor("image_patches_1_end_mask_0"), val = tensor([false, true, true, true])]; - tensor transpose_55_cast_fp16 = transpose(perm = var_1554, x = op_1553_cast_fp16)[name = tensor("transpose_56")]; - tensor image_patches_1_cast_fp16 = slice_by_index(begin = image_patches_1_begin_0, end = image_patches_1_end_0, end_mask = image_patches_1_end_mask_0, x = transpose_55_cast_fp16)[name = tensor("image_patches_1_cast_fp16")]; - tensor output_1_begin_0 = const()[name = tensor("output_1_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor output_1_end_0 = const()[name = tensor("output_1_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_1_end_mask_0 = const()[name = tensor("output_1_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_1_cast_fp16 = slice_by_index(begin = output_1_begin_0, end = output_1_end_0, end_mask = output_1_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_1_cast_fp16")]; - tensor var_1566_begin_0 = const()[name = tensor("op_1566_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1566_end_0 = const()[name = tensor("op_1566_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor var_1566_end_mask_0 = const()[name = tensor("op_1566_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1566_cast_fp16 = slice_by_index(begin = var_1566_begin_0, end = var_1566_end_0, end_mask = var_1566_end_mask_0, x = output_1_cast_fp16)[name = tensor("op_1566_cast_fp16")]; - tensor var_1569_begin_0 = const()[name = tensor("op_1569_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1569_end_0 = const()[name = tensor("op_1569_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_1569_end_mask_0 = const()[name = tensor("op_1569_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1569_cast_fp16 = slice_by_index(begin = var_1569_begin_0, end = var_1569_end_0, end_mask = var_1569_end_mask_0, x = op_1566_cast_fp16)[name = tensor("op_1569_cast_fp16")]; - tensor output_5_begin_0 = const()[name = tensor("output_5_begin_0"), val = tensor([1, 0, 0, 0])]; - tensor output_5_end_0 = const()[name = tensor("output_5_end_0"), val = tensor([2, 1024, 24, 24])]; - tensor output_5_end_mask_0 = const()[name = tensor("output_5_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_5_cast_fp16 = slice_by_index(begin = output_5_begin_0, end = output_5_end_0, end_mask = output_5_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_5_cast_fp16")]; - tensor output_7_begin_0 = const()[name = tensor("output_7_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_7_end_0 = const()[name = tensor("output_7_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_7_end_mask_0 = const()[name = tensor("output_7_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_7_cast_fp16 = slice_by_index(begin = output_7_begin_0, end = output_7_end_0, end_mask = output_7_end_mask_0, x = output_5_cast_fp16)[name = tensor("output_7_cast_fp16")]; - tensor var_1579_begin_0 = const()[name = tensor("op_1579_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1579_end_0 = const()[name = tensor("op_1579_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_1579_end_mask_0 = const()[name = tensor("op_1579_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1579_cast_fp16 = slice_by_index(begin = var_1579_begin_0, end = var_1579_end_0, end_mask = var_1579_end_mask_0, x = output_7_cast_fp16)[name = tensor("op_1579_cast_fp16")]; - tensor var_1582_begin_0 = const()[name = tensor("op_1582_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1582_end_0 = const()[name = tensor("op_1582_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_1582_end_mask_0 = const()[name = tensor("op_1582_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1582_cast_fp16 = slice_by_index(begin = var_1582_begin_0, end = var_1582_end_0, end_mask = var_1582_end_mask_0, x = op_1579_cast_fp16)[name = tensor("op_1582_cast_fp16")]; - tensor output_11_begin_0 = const()[name = tensor("output_11_begin_0"), val = tensor([2, 0, 0, 0])]; - tensor output_11_end_0 = const()[name = tensor("output_11_end_0"), val = tensor([3, 1024, 24, 24])]; - tensor output_11_end_mask_0 = const()[name = tensor("output_11_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_11_cast_fp16 = slice_by_index(begin = output_11_begin_0, end = output_11_end_0, end_mask = output_11_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_11_cast_fp16")]; - tensor output_13_begin_0 = const()[name = tensor("output_13_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_13_end_0 = const()[name = tensor("output_13_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_13_end_mask_0 = const()[name = tensor("output_13_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_13_cast_fp16 = slice_by_index(begin = output_13_begin_0, end = output_13_end_0, end_mask = output_13_end_mask_0, x = output_11_cast_fp16)[name = tensor("output_13_cast_fp16")]; - tensor var_1592_begin_0 = const()[name = tensor("op_1592_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1592_end_0 = const()[name = tensor("op_1592_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_1592_end_mask_0 = const()[name = tensor("op_1592_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1592_cast_fp16 = slice_by_index(begin = var_1592_begin_0, end = var_1592_end_0, end_mask = var_1592_end_mask_0, x = output_13_cast_fp16)[name = tensor("op_1592_cast_fp16")]; - tensor var_1595_begin_0 = const()[name = tensor("op_1595_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1595_end_0 = const()[name = tensor("op_1595_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_1595_end_mask_0 = const()[name = tensor("op_1595_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1595_cast_fp16 = slice_by_index(begin = var_1595_begin_0, end = var_1595_end_0, end_mask = var_1595_end_mask_0, x = op_1592_cast_fp16)[name = tensor("op_1595_cast_fp16")]; - tensor output_17_begin_0 = const()[name = tensor("output_17_begin_0"), val = tensor([3, 0, 0, 0])]; - tensor output_17_end_0 = const()[name = tensor("output_17_end_0"), val = tensor([4, 1024, 24, 24])]; - tensor output_17_end_mask_0 = const()[name = tensor("output_17_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_17_cast_fp16 = slice_by_index(begin = output_17_begin_0, end = output_17_end_0, end_mask = output_17_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_17_cast_fp16")]; - tensor output_19_begin_0 = const()[name = tensor("output_19_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_19_end_0 = const()[name = tensor("output_19_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_19_end_mask_0 = const()[name = tensor("output_19_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_19_cast_fp16 = slice_by_index(begin = output_19_begin_0, end = output_19_end_0, end_mask = output_19_end_mask_0, x = output_17_cast_fp16)[name = tensor("output_19_cast_fp16")]; - tensor var_1605_begin_0 = const()[name = tensor("op_1605_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1605_end_0 = const()[name = tensor("op_1605_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_1605_end_mask_0 = const()[name = tensor("op_1605_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1605_cast_fp16 = slice_by_index(begin = var_1605_begin_0, end = var_1605_end_0, end_mask = var_1605_end_mask_0, x = output_19_cast_fp16)[name = tensor("op_1605_cast_fp16")]; - tensor var_1608_begin_0 = const()[name = tensor("op_1608_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1608_end_0 = const()[name = tensor("op_1608_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_1608_end_mask_0 = const()[name = tensor("op_1608_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1608_cast_fp16 = slice_by_index(begin = var_1608_begin_0, end = var_1608_end_0, end_mask = var_1608_end_mask_0, x = op_1605_cast_fp16)[name = tensor("op_1608_cast_fp16")]; - tensor output_23_begin_0 = const()[name = tensor("output_23_begin_0"), val = tensor([4, 0, 0, 0])]; - tensor output_23_end_0 = const()[name = tensor("output_23_end_0"), val = tensor([5, 1024, 24, 24])]; - tensor output_23_end_mask_0 = const()[name = tensor("output_23_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_23_cast_fp16 = slice_by_index(begin = output_23_begin_0, end = output_23_end_0, end_mask = output_23_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_23_cast_fp16")]; - tensor output_25_begin_0 = const()[name = tensor("output_25_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_25_end_0 = const()[name = tensor("output_25_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_25_end_mask_0 = const()[name = tensor("output_25_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_25_cast_fp16 = slice_by_index(begin = output_25_begin_0, end = output_25_end_0, end_mask = output_25_end_mask_0, x = output_23_cast_fp16)[name = tensor("output_25_cast_fp16")]; - tensor var_1618_begin_0 = const()[name = tensor("op_1618_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1618_end_0 = const()[name = tensor("op_1618_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_1618_end_mask_0 = const()[name = tensor("op_1618_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1618_cast_fp16 = slice_by_index(begin = var_1618_begin_0, end = var_1618_end_0, end_mask = var_1618_end_mask_0, x = output_25_cast_fp16)[name = tensor("op_1618_cast_fp16")]; - tensor var_1621_interleave_0 = const()[name = tensor("op_1621_interleave_0"), val = tensor(false)]; - tensor op_1621_cast_fp16 = concat(axis = var_34, interleave = var_1621_interleave_0, values = (op_1569_cast_fp16, op_1582_cast_fp16, op_1595_cast_fp16, op_1608_cast_fp16, op_1618_cast_fp16))[name = tensor("op_1621_cast_fp16")]; - tensor output_29_begin_0 = const()[name = tensor("output_29_begin_0"), val = tensor([5, 0, 0, 0])]; - tensor output_29_end_0 = const()[name = tensor("output_29_end_0"), val = tensor([6, 1024, 24, 24])]; - tensor output_29_end_mask_0 = const()[name = tensor("output_29_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_29_cast_fp16 = slice_by_index(begin = output_29_begin_0, end = output_29_end_0, end_mask = output_29_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_29_cast_fp16")]; - tensor var_1629_begin_0 = const()[name = tensor("op_1629_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1629_end_0 = const()[name = tensor("op_1629_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1629_end_mask_0 = const()[name = tensor("op_1629_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1629_cast_fp16 = slice_by_index(begin = var_1629_begin_0, end = var_1629_end_0, end_mask = var_1629_end_mask_0, x = output_29_cast_fp16)[name = tensor("op_1629_cast_fp16")]; - tensor var_1631_begin_0 = const()[name = tensor("op_1631_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1631_end_0 = const()[name = tensor("op_1631_end_0"), val = tensor([1, 1024, 18, 24])]; - tensor var_1631_end_mask_0 = const()[name = tensor("op_1631_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1631_cast_fp16 = slice_by_index(begin = var_1631_begin_0, end = var_1631_end_0, end_mask = var_1631_end_mask_0, x = op_1629_cast_fp16)[name = tensor("op_1631_cast_fp16")]; - tensor var_1634_begin_0 = const()[name = tensor("op_1634_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1634_end_0 = const()[name = tensor("op_1634_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_1634_end_mask_0 = const()[name = tensor("op_1634_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1634_cast_fp16 = slice_by_index(begin = var_1634_begin_0, end = var_1634_end_0, end_mask = var_1634_end_mask_0, x = op_1631_cast_fp16)[name = tensor("op_1634_cast_fp16")]; - tensor output_35_begin_0 = const()[name = tensor("output_35_begin_0"), val = tensor([6, 0, 0, 0])]; - tensor output_35_end_0 = const()[name = tensor("output_35_end_0"), val = tensor([7, 1024, 24, 24])]; - tensor output_35_end_mask_0 = const()[name = tensor("output_35_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_35_cast_fp16 = slice_by_index(begin = output_35_begin_0, end = output_35_end_0, end_mask = output_35_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_35_cast_fp16")]; - tensor var_1642_begin_0 = const()[name = tensor("op_1642_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1642_end_0 = const()[name = tensor("op_1642_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1642_end_mask_0 = const()[name = tensor("op_1642_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1642_cast_fp16 = slice_by_index(begin = var_1642_begin_0, end = var_1642_end_0, end_mask = var_1642_end_mask_0, x = output_35_cast_fp16)[name = tensor("op_1642_cast_fp16")]; - tensor output_39_begin_0 = const()[name = tensor("output_39_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_39_end_0 = const()[name = tensor("output_39_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_39_end_mask_0 = const()[name = tensor("output_39_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_39_cast_fp16 = slice_by_index(begin = output_39_begin_0, end = output_39_end_0, end_mask = output_39_end_mask_0, x = op_1642_cast_fp16)[name = tensor("output_39_cast_fp16")]; - tensor var_1646_begin_0 = const()[name = tensor("op_1646_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1646_end_0 = const()[name = tensor("op_1646_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_1646_end_mask_0 = const()[name = tensor("op_1646_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1646_cast_fp16 = slice_by_index(begin = var_1646_begin_0, end = var_1646_end_0, end_mask = var_1646_end_mask_0, x = output_39_cast_fp16)[name = tensor("op_1646_cast_fp16")]; - tensor var_1649_begin_0 = const()[name = tensor("op_1649_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1649_end_0 = const()[name = tensor("op_1649_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_1649_end_mask_0 = const()[name = tensor("op_1649_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1649_cast_fp16 = slice_by_index(begin = var_1649_begin_0, end = var_1649_end_0, end_mask = var_1649_end_mask_0, x = op_1646_cast_fp16)[name = tensor("op_1649_cast_fp16")]; - tensor output_43_begin_0 = const()[name = tensor("output_43_begin_0"), val = tensor([7, 0, 0, 0])]; - tensor output_43_end_0 = const()[name = tensor("output_43_end_0"), val = tensor([8, 1024, 24, 24])]; - tensor output_43_end_mask_0 = const()[name = tensor("output_43_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_43_cast_fp16 = slice_by_index(begin = output_43_begin_0, end = output_43_end_0, end_mask = output_43_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_43_cast_fp16")]; - tensor var_1657_begin_0 = const()[name = tensor("op_1657_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1657_end_0 = const()[name = tensor("op_1657_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1657_end_mask_0 = const()[name = tensor("op_1657_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1657_cast_fp16 = slice_by_index(begin = var_1657_begin_0, end = var_1657_end_0, end_mask = var_1657_end_mask_0, x = output_43_cast_fp16)[name = tensor("op_1657_cast_fp16")]; - tensor output_47_begin_0 = const()[name = tensor("output_47_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_47_end_0 = const()[name = tensor("output_47_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_47_end_mask_0 = const()[name = tensor("output_47_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_47_cast_fp16 = slice_by_index(begin = output_47_begin_0, end = output_47_end_0, end_mask = output_47_end_mask_0, x = op_1657_cast_fp16)[name = tensor("output_47_cast_fp16")]; - tensor var_1661_begin_0 = const()[name = tensor("op_1661_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1661_end_0 = const()[name = tensor("op_1661_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_1661_end_mask_0 = const()[name = tensor("op_1661_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1661_cast_fp16 = slice_by_index(begin = var_1661_begin_0, end = var_1661_end_0, end_mask = var_1661_end_mask_0, x = output_47_cast_fp16)[name = tensor("op_1661_cast_fp16")]; - tensor var_1664_begin_0 = const()[name = tensor("op_1664_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1664_end_0 = const()[name = tensor("op_1664_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_1664_end_mask_0 = const()[name = tensor("op_1664_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1664_cast_fp16 = slice_by_index(begin = var_1664_begin_0, end = var_1664_end_0, end_mask = var_1664_end_mask_0, x = op_1661_cast_fp16)[name = tensor("op_1664_cast_fp16")]; - tensor output_51_begin_0 = const()[name = tensor("output_51_begin_0"), val = tensor([8, 0, 0, 0])]; - tensor output_51_end_0 = const()[name = tensor("output_51_end_0"), val = tensor([9, 1024, 24, 24])]; - tensor output_51_end_mask_0 = const()[name = tensor("output_51_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_51_cast_fp16 = slice_by_index(begin = output_51_begin_0, end = output_51_end_0, end_mask = output_51_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_51_cast_fp16")]; - tensor var_1672_begin_0 = const()[name = tensor("op_1672_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1672_end_0 = const()[name = tensor("op_1672_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1672_end_mask_0 = const()[name = tensor("op_1672_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1672_cast_fp16 = slice_by_index(begin = var_1672_begin_0, end = var_1672_end_0, end_mask = var_1672_end_mask_0, x = output_51_cast_fp16)[name = tensor("op_1672_cast_fp16")]; - tensor output_55_begin_0 = const()[name = tensor("output_55_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_55_end_0 = const()[name = tensor("output_55_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_55_end_mask_0 = const()[name = tensor("output_55_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_55_cast_fp16 = slice_by_index(begin = output_55_begin_0, end = output_55_end_0, end_mask = output_55_end_mask_0, x = op_1672_cast_fp16)[name = tensor("output_55_cast_fp16")]; - tensor var_1676_begin_0 = const()[name = tensor("op_1676_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1676_end_0 = const()[name = tensor("op_1676_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_1676_end_mask_0 = const()[name = tensor("op_1676_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1676_cast_fp16 = slice_by_index(begin = var_1676_begin_0, end = var_1676_end_0, end_mask = var_1676_end_mask_0, x = output_55_cast_fp16)[name = tensor("op_1676_cast_fp16")]; - tensor var_1679_begin_0 = const()[name = tensor("op_1679_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1679_end_0 = const()[name = tensor("op_1679_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_1679_end_mask_0 = const()[name = tensor("op_1679_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1679_cast_fp16 = slice_by_index(begin = var_1679_begin_0, end = var_1679_end_0, end_mask = var_1679_end_mask_0, x = op_1676_cast_fp16)[name = tensor("op_1679_cast_fp16")]; - tensor output_59_begin_0 = const()[name = tensor("output_59_begin_0"), val = tensor([9, 0, 0, 0])]; - tensor output_59_end_0 = const()[name = tensor("output_59_end_0"), val = tensor([10, 1024, 24, 24])]; - tensor output_59_end_mask_0 = const()[name = tensor("output_59_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_59_cast_fp16 = slice_by_index(begin = output_59_begin_0, end = output_59_end_0, end_mask = output_59_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_59_cast_fp16")]; - tensor var_1687_begin_0 = const()[name = tensor("op_1687_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1687_end_0 = const()[name = tensor("op_1687_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1687_end_mask_0 = const()[name = tensor("op_1687_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1687_cast_fp16 = slice_by_index(begin = var_1687_begin_0, end = var_1687_end_0, end_mask = var_1687_end_mask_0, x = output_59_cast_fp16)[name = tensor("op_1687_cast_fp16")]; - tensor output_63_begin_0 = const()[name = tensor("output_63_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_63_end_0 = const()[name = tensor("output_63_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_63_end_mask_0 = const()[name = tensor("output_63_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_63_cast_fp16 = slice_by_index(begin = output_63_begin_0, end = output_63_end_0, end_mask = output_63_end_mask_0, x = op_1687_cast_fp16)[name = tensor("output_63_cast_fp16")]; - tensor var_1691_begin_0 = const()[name = tensor("op_1691_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1691_end_0 = const()[name = tensor("op_1691_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_1691_end_mask_0 = const()[name = tensor("op_1691_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1691_cast_fp16 = slice_by_index(begin = var_1691_begin_0, end = var_1691_end_0, end_mask = var_1691_end_mask_0, x = output_63_cast_fp16)[name = tensor("op_1691_cast_fp16")]; - tensor var_1694_interleave_0 = const()[name = tensor("op_1694_interleave_0"), val = tensor(false)]; - tensor op_1694_cast_fp16 = concat(axis = var_34, interleave = var_1694_interleave_0, values = (op_1634_cast_fp16, op_1649_cast_fp16, op_1664_cast_fp16, op_1679_cast_fp16, op_1691_cast_fp16))[name = tensor("op_1694_cast_fp16")]; - tensor output_67_begin_0 = const()[name = tensor("output_67_begin_0"), val = tensor([10, 0, 0, 0])]; - tensor output_67_end_0 = const()[name = tensor("output_67_end_0"), val = tensor([11, 1024, 24, 24])]; - tensor output_67_end_mask_0 = const()[name = tensor("output_67_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_67_cast_fp16 = slice_by_index(begin = output_67_begin_0, end = output_67_end_0, end_mask = output_67_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_67_cast_fp16")]; - tensor var_1702_begin_0 = const()[name = tensor("op_1702_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1702_end_0 = const()[name = tensor("op_1702_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1702_end_mask_0 = const()[name = tensor("op_1702_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1702_cast_fp16 = slice_by_index(begin = var_1702_begin_0, end = var_1702_end_0, end_mask = var_1702_end_mask_0, x = output_67_cast_fp16)[name = tensor("op_1702_cast_fp16")]; - tensor var_1704_begin_0 = const()[name = tensor("op_1704_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1704_end_0 = const()[name = tensor("op_1704_end_0"), val = tensor([1, 1024, 18, 24])]; - tensor var_1704_end_mask_0 = const()[name = tensor("op_1704_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1704_cast_fp16 = slice_by_index(begin = var_1704_begin_0, end = var_1704_end_0, end_mask = var_1704_end_mask_0, x = op_1702_cast_fp16)[name = tensor("op_1704_cast_fp16")]; - tensor var_1707_begin_0 = const()[name = tensor("op_1707_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1707_end_0 = const()[name = tensor("op_1707_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_1707_end_mask_0 = const()[name = tensor("op_1707_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1707_cast_fp16 = slice_by_index(begin = var_1707_begin_0, end = var_1707_end_0, end_mask = var_1707_end_mask_0, x = op_1704_cast_fp16)[name = tensor("op_1707_cast_fp16")]; - tensor output_73_begin_0 = const()[name = tensor("output_73_begin_0"), val = tensor([11, 0, 0, 0])]; - tensor output_73_end_0 = const()[name = tensor("output_73_end_0"), val = tensor([12, 1024, 24, 24])]; - tensor output_73_end_mask_0 = const()[name = tensor("output_73_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_73_cast_fp16 = slice_by_index(begin = output_73_begin_0, end = output_73_end_0, end_mask = output_73_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_73_cast_fp16")]; - tensor var_1715_begin_0 = const()[name = tensor("op_1715_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1715_end_0 = const()[name = tensor("op_1715_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1715_end_mask_0 = const()[name = tensor("op_1715_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1715_cast_fp16 = slice_by_index(begin = var_1715_begin_0, end = var_1715_end_0, end_mask = var_1715_end_mask_0, x = output_73_cast_fp16)[name = tensor("op_1715_cast_fp16")]; - tensor output_77_begin_0 = const()[name = tensor("output_77_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_77_end_0 = const()[name = tensor("output_77_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_77_end_mask_0 = const()[name = tensor("output_77_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_77_cast_fp16 = slice_by_index(begin = output_77_begin_0, end = output_77_end_0, end_mask = output_77_end_mask_0, x = op_1715_cast_fp16)[name = tensor("output_77_cast_fp16")]; - tensor var_1719_begin_0 = const()[name = tensor("op_1719_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1719_end_0 = const()[name = tensor("op_1719_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_1719_end_mask_0 = const()[name = tensor("op_1719_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1719_cast_fp16 = slice_by_index(begin = var_1719_begin_0, end = var_1719_end_0, end_mask = var_1719_end_mask_0, x = output_77_cast_fp16)[name = tensor("op_1719_cast_fp16")]; - tensor var_1722_begin_0 = const()[name = tensor("op_1722_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1722_end_0 = const()[name = tensor("op_1722_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_1722_end_mask_0 = const()[name = tensor("op_1722_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1722_cast_fp16 = slice_by_index(begin = var_1722_begin_0, end = var_1722_end_0, end_mask = var_1722_end_mask_0, x = op_1719_cast_fp16)[name = tensor("op_1722_cast_fp16")]; - tensor output_81_begin_0 = const()[name = tensor("output_81_begin_0"), val = tensor([12, 0, 0, 0])]; - tensor output_81_end_0 = const()[name = tensor("output_81_end_0"), val = tensor([13, 1024, 24, 24])]; - tensor output_81_end_mask_0 = const()[name = tensor("output_81_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_81_cast_fp16 = slice_by_index(begin = output_81_begin_0, end = output_81_end_0, end_mask = output_81_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_81_cast_fp16")]; - tensor var_1730_begin_0 = const()[name = tensor("op_1730_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1730_end_0 = const()[name = tensor("op_1730_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1730_end_mask_0 = const()[name = tensor("op_1730_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1730_cast_fp16 = slice_by_index(begin = var_1730_begin_0, end = var_1730_end_0, end_mask = var_1730_end_mask_0, x = output_81_cast_fp16)[name = tensor("op_1730_cast_fp16")]; - tensor output_85_begin_0 = const()[name = tensor("output_85_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_85_end_0 = const()[name = tensor("output_85_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_85_end_mask_0 = const()[name = tensor("output_85_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_85_cast_fp16 = slice_by_index(begin = output_85_begin_0, end = output_85_end_0, end_mask = output_85_end_mask_0, x = op_1730_cast_fp16)[name = tensor("output_85_cast_fp16")]; - tensor var_1734_begin_0 = const()[name = tensor("op_1734_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1734_end_0 = const()[name = tensor("op_1734_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_1734_end_mask_0 = const()[name = tensor("op_1734_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1734_cast_fp16 = slice_by_index(begin = var_1734_begin_0, end = var_1734_end_0, end_mask = var_1734_end_mask_0, x = output_85_cast_fp16)[name = tensor("op_1734_cast_fp16")]; - tensor var_1737_begin_0 = const()[name = tensor("op_1737_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1737_end_0 = const()[name = tensor("op_1737_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_1737_end_mask_0 = const()[name = tensor("op_1737_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1737_cast_fp16 = slice_by_index(begin = var_1737_begin_0, end = var_1737_end_0, end_mask = var_1737_end_mask_0, x = op_1734_cast_fp16)[name = tensor("op_1737_cast_fp16")]; - tensor output_89_begin_0 = const()[name = tensor("output_89_begin_0"), val = tensor([13, 0, 0, 0])]; - tensor output_89_end_0 = const()[name = tensor("output_89_end_0"), val = tensor([14, 1024, 24, 24])]; - tensor output_89_end_mask_0 = const()[name = tensor("output_89_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_89_cast_fp16 = slice_by_index(begin = output_89_begin_0, end = output_89_end_0, end_mask = output_89_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_89_cast_fp16")]; - tensor var_1745_begin_0 = const()[name = tensor("op_1745_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1745_end_0 = const()[name = tensor("op_1745_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1745_end_mask_0 = const()[name = tensor("op_1745_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1745_cast_fp16 = slice_by_index(begin = var_1745_begin_0, end = var_1745_end_0, end_mask = var_1745_end_mask_0, x = output_89_cast_fp16)[name = tensor("op_1745_cast_fp16")]; - tensor output_93_begin_0 = const()[name = tensor("output_93_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_93_end_0 = const()[name = tensor("output_93_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_93_end_mask_0 = const()[name = tensor("output_93_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_93_cast_fp16 = slice_by_index(begin = output_93_begin_0, end = output_93_end_0, end_mask = output_93_end_mask_0, x = op_1745_cast_fp16)[name = tensor("output_93_cast_fp16")]; - tensor var_1749_begin_0 = const()[name = tensor("op_1749_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1749_end_0 = const()[name = tensor("op_1749_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_1749_end_mask_0 = const()[name = tensor("op_1749_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1749_cast_fp16 = slice_by_index(begin = var_1749_begin_0, end = var_1749_end_0, end_mask = var_1749_end_mask_0, x = output_93_cast_fp16)[name = tensor("op_1749_cast_fp16")]; - tensor var_1752_begin_0 = const()[name = tensor("op_1752_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1752_end_0 = const()[name = tensor("op_1752_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_1752_end_mask_0 = const()[name = tensor("op_1752_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1752_cast_fp16 = slice_by_index(begin = var_1752_begin_0, end = var_1752_end_0, end_mask = var_1752_end_mask_0, x = op_1749_cast_fp16)[name = tensor("op_1752_cast_fp16")]; - tensor output_97_begin_0 = const()[name = tensor("output_97_begin_0"), val = tensor([14, 0, 0, 0])]; - tensor output_97_end_0 = const()[name = tensor("output_97_end_0"), val = tensor([15, 1024, 24, 24])]; - tensor output_97_end_mask_0 = const()[name = tensor("output_97_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_97_cast_fp16 = slice_by_index(begin = output_97_begin_0, end = output_97_end_0, end_mask = output_97_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_97_cast_fp16")]; - tensor var_1760_begin_0 = const()[name = tensor("op_1760_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1760_end_0 = const()[name = tensor("op_1760_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1760_end_mask_0 = const()[name = tensor("op_1760_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1760_cast_fp16 = slice_by_index(begin = var_1760_begin_0, end = var_1760_end_0, end_mask = var_1760_end_mask_0, x = output_97_cast_fp16)[name = tensor("op_1760_cast_fp16")]; - tensor output_101_begin_0 = const()[name = tensor("output_101_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_101_end_0 = const()[name = tensor("output_101_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_101_end_mask_0 = const()[name = tensor("output_101_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_101_cast_fp16 = slice_by_index(begin = output_101_begin_0, end = output_101_end_0, end_mask = output_101_end_mask_0, x = op_1760_cast_fp16)[name = tensor("output_101_cast_fp16")]; - tensor var_1764_begin_0 = const()[name = tensor("op_1764_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1764_end_0 = const()[name = tensor("op_1764_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_1764_end_mask_0 = const()[name = tensor("op_1764_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1764_cast_fp16 = slice_by_index(begin = var_1764_begin_0, end = var_1764_end_0, end_mask = var_1764_end_mask_0, x = output_101_cast_fp16)[name = tensor("op_1764_cast_fp16")]; - tensor var_1767_interleave_0 = const()[name = tensor("op_1767_interleave_0"), val = tensor(false)]; - tensor op_1767_cast_fp16 = concat(axis = var_34, interleave = var_1767_interleave_0, values = (op_1707_cast_fp16, op_1722_cast_fp16, op_1737_cast_fp16, op_1752_cast_fp16, op_1764_cast_fp16))[name = tensor("op_1767_cast_fp16")]; - tensor output_105_begin_0 = const()[name = tensor("output_105_begin_0"), val = tensor([15, 0, 0, 0])]; - tensor output_105_end_0 = const()[name = tensor("output_105_end_0"), val = tensor([16, 1024, 24, 24])]; - tensor output_105_end_mask_0 = const()[name = tensor("output_105_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_105_cast_fp16 = slice_by_index(begin = output_105_begin_0, end = output_105_end_0, end_mask = output_105_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_105_cast_fp16")]; - tensor var_1775_begin_0 = const()[name = tensor("op_1775_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1775_end_0 = const()[name = tensor("op_1775_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1775_end_mask_0 = const()[name = tensor("op_1775_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1775_cast_fp16 = slice_by_index(begin = var_1775_begin_0, end = var_1775_end_0, end_mask = var_1775_end_mask_0, x = output_105_cast_fp16)[name = tensor("op_1775_cast_fp16")]; - tensor var_1777_begin_0 = const()[name = tensor("op_1777_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1777_end_0 = const()[name = tensor("op_1777_end_0"), val = tensor([1, 1024, 18, 24])]; - tensor var_1777_end_mask_0 = const()[name = tensor("op_1777_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1777_cast_fp16 = slice_by_index(begin = var_1777_begin_0, end = var_1777_end_0, end_mask = var_1777_end_mask_0, x = op_1775_cast_fp16)[name = tensor("op_1777_cast_fp16")]; - tensor var_1780_begin_0 = const()[name = tensor("op_1780_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1780_end_0 = const()[name = tensor("op_1780_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_1780_end_mask_0 = const()[name = tensor("op_1780_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1780_cast_fp16 = slice_by_index(begin = var_1780_begin_0, end = var_1780_end_0, end_mask = var_1780_end_mask_0, x = op_1777_cast_fp16)[name = tensor("op_1780_cast_fp16")]; - tensor output_111_begin_0 = const()[name = tensor("output_111_begin_0"), val = tensor([16, 0, 0, 0])]; - tensor output_111_end_0 = const()[name = tensor("output_111_end_0"), val = tensor([17, 1024, 24, 24])]; - tensor output_111_end_mask_0 = const()[name = tensor("output_111_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_111_cast_fp16 = slice_by_index(begin = output_111_begin_0, end = output_111_end_0, end_mask = output_111_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_111_cast_fp16")]; - tensor var_1788_begin_0 = const()[name = tensor("op_1788_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1788_end_0 = const()[name = tensor("op_1788_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1788_end_mask_0 = const()[name = tensor("op_1788_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1788_cast_fp16 = slice_by_index(begin = var_1788_begin_0, end = var_1788_end_0, end_mask = var_1788_end_mask_0, x = output_111_cast_fp16)[name = tensor("op_1788_cast_fp16")]; - tensor output_115_begin_0 = const()[name = tensor("output_115_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_115_end_0 = const()[name = tensor("output_115_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_115_end_mask_0 = const()[name = tensor("output_115_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_115_cast_fp16 = slice_by_index(begin = output_115_begin_0, end = output_115_end_0, end_mask = output_115_end_mask_0, x = op_1788_cast_fp16)[name = tensor("output_115_cast_fp16")]; - tensor var_1792_begin_0 = const()[name = tensor("op_1792_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1792_end_0 = const()[name = tensor("op_1792_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_1792_end_mask_0 = const()[name = tensor("op_1792_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1792_cast_fp16 = slice_by_index(begin = var_1792_begin_0, end = var_1792_end_0, end_mask = var_1792_end_mask_0, x = output_115_cast_fp16)[name = tensor("op_1792_cast_fp16")]; - tensor var_1795_begin_0 = const()[name = tensor("op_1795_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1795_end_0 = const()[name = tensor("op_1795_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_1795_end_mask_0 = const()[name = tensor("op_1795_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1795_cast_fp16 = slice_by_index(begin = var_1795_begin_0, end = var_1795_end_0, end_mask = var_1795_end_mask_0, x = op_1792_cast_fp16)[name = tensor("op_1795_cast_fp16")]; - tensor output_119_begin_0 = const()[name = tensor("output_119_begin_0"), val = tensor([17, 0, 0, 0])]; - tensor output_119_end_0 = const()[name = tensor("output_119_end_0"), val = tensor([18, 1024, 24, 24])]; - tensor output_119_end_mask_0 = const()[name = tensor("output_119_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_119_cast_fp16 = slice_by_index(begin = output_119_begin_0, end = output_119_end_0, end_mask = output_119_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_119_cast_fp16")]; - tensor var_1803_begin_0 = const()[name = tensor("op_1803_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1803_end_0 = const()[name = tensor("op_1803_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1803_end_mask_0 = const()[name = tensor("op_1803_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1803_cast_fp16 = slice_by_index(begin = var_1803_begin_0, end = var_1803_end_0, end_mask = var_1803_end_mask_0, x = output_119_cast_fp16)[name = tensor("op_1803_cast_fp16")]; - tensor output_123_begin_0 = const()[name = tensor("output_123_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_123_end_0 = const()[name = tensor("output_123_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_123_end_mask_0 = const()[name = tensor("output_123_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_123_cast_fp16 = slice_by_index(begin = output_123_begin_0, end = output_123_end_0, end_mask = output_123_end_mask_0, x = op_1803_cast_fp16)[name = tensor("output_123_cast_fp16")]; - tensor var_1807_begin_0 = const()[name = tensor("op_1807_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1807_end_0 = const()[name = tensor("op_1807_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_1807_end_mask_0 = const()[name = tensor("op_1807_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1807_cast_fp16 = slice_by_index(begin = var_1807_begin_0, end = var_1807_end_0, end_mask = var_1807_end_mask_0, x = output_123_cast_fp16)[name = tensor("op_1807_cast_fp16")]; - tensor var_1810_begin_0 = const()[name = tensor("op_1810_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1810_end_0 = const()[name = tensor("op_1810_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_1810_end_mask_0 = const()[name = tensor("op_1810_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1810_cast_fp16 = slice_by_index(begin = var_1810_begin_0, end = var_1810_end_0, end_mask = var_1810_end_mask_0, x = op_1807_cast_fp16)[name = tensor("op_1810_cast_fp16")]; - tensor output_127_begin_0 = const()[name = tensor("output_127_begin_0"), val = tensor([18, 0, 0, 0])]; - tensor output_127_end_0 = const()[name = tensor("output_127_end_0"), val = tensor([19, 1024, 24, 24])]; - tensor output_127_end_mask_0 = const()[name = tensor("output_127_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_127_cast_fp16 = slice_by_index(begin = output_127_begin_0, end = output_127_end_0, end_mask = output_127_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_127_cast_fp16")]; - tensor var_1818_begin_0 = const()[name = tensor("op_1818_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1818_end_0 = const()[name = tensor("op_1818_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1818_end_mask_0 = const()[name = tensor("op_1818_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1818_cast_fp16 = slice_by_index(begin = var_1818_begin_0, end = var_1818_end_0, end_mask = var_1818_end_mask_0, x = output_127_cast_fp16)[name = tensor("op_1818_cast_fp16")]; - tensor output_131_begin_0 = const()[name = tensor("output_131_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_131_end_0 = const()[name = tensor("output_131_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_131_end_mask_0 = const()[name = tensor("output_131_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_131_cast_fp16 = slice_by_index(begin = output_131_begin_0, end = output_131_end_0, end_mask = output_131_end_mask_0, x = op_1818_cast_fp16)[name = tensor("output_131_cast_fp16")]; - tensor var_1822_begin_0 = const()[name = tensor("op_1822_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1822_end_0 = const()[name = tensor("op_1822_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_1822_end_mask_0 = const()[name = tensor("op_1822_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1822_cast_fp16 = slice_by_index(begin = var_1822_begin_0, end = var_1822_end_0, end_mask = var_1822_end_mask_0, x = output_131_cast_fp16)[name = tensor("op_1822_cast_fp16")]; - tensor var_1825_begin_0 = const()[name = tensor("op_1825_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1825_end_0 = const()[name = tensor("op_1825_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_1825_end_mask_0 = const()[name = tensor("op_1825_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1825_cast_fp16 = slice_by_index(begin = var_1825_begin_0, end = var_1825_end_0, end_mask = var_1825_end_mask_0, x = op_1822_cast_fp16)[name = tensor("op_1825_cast_fp16")]; - tensor output_135_begin_0 = const()[name = tensor("output_135_begin_0"), val = tensor([19, 0, 0, 0])]; - tensor output_135_end_0 = const()[name = tensor("output_135_end_0"), val = tensor([20, 1024, 24, 24])]; - tensor output_135_end_mask_0 = const()[name = tensor("output_135_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_135_cast_fp16 = slice_by_index(begin = output_135_begin_0, end = output_135_end_0, end_mask = output_135_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_135_cast_fp16")]; - tensor var_1833_begin_0 = const()[name = tensor("op_1833_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1833_end_0 = const()[name = tensor("op_1833_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1833_end_mask_0 = const()[name = tensor("op_1833_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1833_cast_fp16 = slice_by_index(begin = var_1833_begin_0, end = var_1833_end_0, end_mask = var_1833_end_mask_0, x = output_135_cast_fp16)[name = tensor("op_1833_cast_fp16")]; - tensor output_139_begin_0 = const()[name = tensor("output_139_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_139_end_0 = const()[name = tensor("output_139_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_139_end_mask_0 = const()[name = tensor("output_139_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_139_cast_fp16 = slice_by_index(begin = output_139_begin_0, end = output_139_end_0, end_mask = output_139_end_mask_0, x = op_1833_cast_fp16)[name = tensor("output_139_cast_fp16")]; - tensor var_1837_begin_0 = const()[name = tensor("op_1837_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1837_end_0 = const()[name = tensor("op_1837_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_1837_end_mask_0 = const()[name = tensor("op_1837_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1837_cast_fp16 = slice_by_index(begin = var_1837_begin_0, end = var_1837_end_0, end_mask = var_1837_end_mask_0, x = output_139_cast_fp16)[name = tensor("op_1837_cast_fp16")]; - tensor var_1840_interleave_0 = const()[name = tensor("op_1840_interleave_0"), val = tensor(false)]; - tensor op_1840_cast_fp16 = concat(axis = var_34, interleave = var_1840_interleave_0, values = (op_1780_cast_fp16, op_1795_cast_fp16, op_1810_cast_fp16, op_1825_cast_fp16, op_1837_cast_fp16))[name = tensor("op_1840_cast_fp16")]; - tensor output_143_begin_0 = const()[name = tensor("output_143_begin_0"), val = tensor([20, 0, 0, 0])]; - tensor output_143_end_0 = const()[name = tensor("output_143_end_0"), val = tensor([21, 1024, 24, 24])]; - tensor output_143_end_mask_0 = const()[name = tensor("output_143_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_143_cast_fp16 = slice_by_index(begin = output_143_begin_0, end = output_143_end_0, end_mask = output_143_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_143_cast_fp16")]; - tensor var_1848_begin_0 = const()[name = tensor("op_1848_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1848_end_0 = const()[name = tensor("op_1848_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1848_end_mask_0 = const()[name = tensor("op_1848_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1848_cast_fp16 = slice_by_index(begin = var_1848_begin_0, end = var_1848_end_0, end_mask = var_1848_end_mask_0, x = output_143_cast_fp16)[name = tensor("op_1848_cast_fp16")]; - tensor var_1851_begin_0 = const()[name = tensor("op_1851_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1851_end_0 = const()[name = tensor("op_1851_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_1851_end_mask_0 = const()[name = tensor("op_1851_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1851_cast_fp16 = slice_by_index(begin = var_1851_begin_0, end = var_1851_end_0, end_mask = var_1851_end_mask_0, x = op_1848_cast_fp16)[name = tensor("op_1851_cast_fp16")]; - tensor output_147_begin_0 = const()[name = tensor("output_147_begin_0"), val = tensor([21, 0, 0, 0])]; - tensor output_147_end_0 = const()[name = tensor("output_147_end_0"), val = tensor([22, 1024, 24, 24])]; - tensor output_147_end_mask_0 = const()[name = tensor("output_147_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_147_cast_fp16 = slice_by_index(begin = output_147_begin_0, end = output_147_end_0, end_mask = output_147_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_147_cast_fp16")]; - tensor var_1859_begin_0 = const()[name = tensor("op_1859_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1859_end_0 = const()[name = tensor("op_1859_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1859_end_mask_0 = const()[name = tensor("op_1859_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1859_cast_fp16 = slice_by_index(begin = var_1859_begin_0, end = var_1859_end_0, end_mask = var_1859_end_mask_0, x = output_147_cast_fp16)[name = tensor("op_1859_cast_fp16")]; - tensor output_151_begin_0 = const()[name = tensor("output_151_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_151_end_0 = const()[name = tensor("output_151_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_151_end_mask_0 = const()[name = tensor("output_151_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_151_cast_fp16 = slice_by_index(begin = output_151_begin_0, end = output_151_end_0, end_mask = output_151_end_mask_0, x = op_1859_cast_fp16)[name = tensor("output_151_cast_fp16")]; - tensor var_1864_begin_0 = const()[name = tensor("op_1864_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1864_end_0 = const()[name = tensor("op_1864_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_1864_end_mask_0 = const()[name = tensor("op_1864_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1864_cast_fp16 = slice_by_index(begin = var_1864_begin_0, end = var_1864_end_0, end_mask = var_1864_end_mask_0, x = output_151_cast_fp16)[name = tensor("op_1864_cast_fp16")]; - tensor output_153_begin_0 = const()[name = tensor("output_153_begin_0"), val = tensor([22, 0, 0, 0])]; - tensor output_153_end_0 = const()[name = tensor("output_153_end_0"), val = tensor([23, 1024, 24, 24])]; - tensor output_153_end_mask_0 = const()[name = tensor("output_153_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_153_cast_fp16 = slice_by_index(begin = output_153_begin_0, end = output_153_end_0, end_mask = output_153_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_153_cast_fp16")]; - tensor var_1872_begin_0 = const()[name = tensor("op_1872_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1872_end_0 = const()[name = tensor("op_1872_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1872_end_mask_0 = const()[name = tensor("op_1872_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1872_cast_fp16 = slice_by_index(begin = var_1872_begin_0, end = var_1872_end_0, end_mask = var_1872_end_mask_0, x = output_153_cast_fp16)[name = tensor("op_1872_cast_fp16")]; - tensor output_157_begin_0 = const()[name = tensor("output_157_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_157_end_0 = const()[name = tensor("output_157_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_157_end_mask_0 = const()[name = tensor("output_157_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_157_cast_fp16 = slice_by_index(begin = output_157_begin_0, end = output_157_end_0, end_mask = output_157_end_mask_0, x = op_1872_cast_fp16)[name = tensor("output_157_cast_fp16")]; - tensor var_1877_begin_0 = const()[name = tensor("op_1877_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1877_end_0 = const()[name = tensor("op_1877_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_1877_end_mask_0 = const()[name = tensor("op_1877_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1877_cast_fp16 = slice_by_index(begin = var_1877_begin_0, end = var_1877_end_0, end_mask = var_1877_end_mask_0, x = output_157_cast_fp16)[name = tensor("op_1877_cast_fp16")]; - tensor output_159_begin_0 = const()[name = tensor("output_159_begin_0"), val = tensor([23, 0, 0, 0])]; - tensor output_159_end_0 = const()[name = tensor("output_159_end_0"), val = tensor([24, 1024, 24, 24])]; - tensor output_159_end_mask_0 = const()[name = tensor("output_159_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_159_cast_fp16 = slice_by_index(begin = output_159_begin_0, end = output_159_end_0, end_mask = output_159_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_159_cast_fp16")]; - tensor var_1885_begin_0 = const()[name = tensor("op_1885_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1885_end_0 = const()[name = tensor("op_1885_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1885_end_mask_0 = const()[name = tensor("op_1885_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1885_cast_fp16 = slice_by_index(begin = var_1885_begin_0, end = var_1885_end_0, end_mask = var_1885_end_mask_0, x = output_159_cast_fp16)[name = tensor("op_1885_cast_fp16")]; - tensor output_163_begin_0 = const()[name = tensor("output_163_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_163_end_0 = const()[name = tensor("output_163_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_163_end_mask_0 = const()[name = tensor("output_163_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_163_cast_fp16 = slice_by_index(begin = output_163_begin_0, end = output_163_end_0, end_mask = output_163_end_mask_0, x = op_1885_cast_fp16)[name = tensor("output_163_cast_fp16")]; - tensor var_1890_begin_0 = const()[name = tensor("op_1890_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1890_end_0 = const()[name = tensor("op_1890_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_1890_end_mask_0 = const()[name = tensor("op_1890_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1890_cast_fp16 = slice_by_index(begin = var_1890_begin_0, end = var_1890_end_0, end_mask = var_1890_end_mask_0, x = output_163_cast_fp16)[name = tensor("op_1890_cast_fp16")]; - tensor output_165_begin_0 = const()[name = tensor("output_165_begin_0"), val = tensor([24, 0, 0, 0])]; - tensor output_165_end_0 = const()[name = tensor("output_165_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_165_end_mask_0 = const()[name = tensor("output_165_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_165_cast_fp16 = slice_by_index(begin = output_165_begin_0, end = output_165_end_0, end_mask = output_165_end_mask_0, x = image_patches_1_cast_fp16)[name = tensor("output_165_cast_fp16")]; - tensor var_1898_begin_0 = const()[name = tensor("op_1898_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1898_end_0 = const()[name = tensor("op_1898_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1898_end_mask_0 = const()[name = tensor("op_1898_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1898_cast_fp16 = slice_by_index(begin = var_1898_begin_0, end = var_1898_end_0, end_mask = var_1898_end_mask_0, x = output_165_cast_fp16)[name = tensor("op_1898_cast_fp16")]; - tensor output_169_begin_0 = const()[name = tensor("output_169_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_169_end_0 = const()[name = tensor("output_169_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_169_end_mask_0 = const()[name = tensor("output_169_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_169_cast_fp16 = slice_by_index(begin = output_169_begin_0, end = output_169_end_0, end_mask = output_169_end_mask_0, x = op_1898_cast_fp16)[name = tensor("output_169_cast_fp16")]; - tensor output_row_1_interleave_0 = const()[name = tensor("output_row_1_interleave_0"), val = tensor(false)]; - tensor output_row_1_cast_fp16 = concat(axis = var_34, interleave = output_row_1_interleave_0, values = (op_1851_cast_fp16, op_1864_cast_fp16, op_1877_cast_fp16, op_1890_cast_fp16, output_169_cast_fp16))[name = tensor("output_row_1_cast_fp16")]; - tensor input_873_interleave_0 = const()[name = tensor("input_873_interleave_0"), val = tensor(false)]; - tensor input_873_cast_fp16 = concat(axis = var_36, interleave = input_873_interleave_0, values = (op_1621_cast_fp16, op_1694_cast_fp16, op_1767_cast_fp16, op_1840_cast_fp16, output_row_1_cast_fp16))[name = tensor("input_873_cast_fp16")]; - tensor var_1909_begin_0 = const()[name = tensor("op_1909_begin_0"), val = tensor([0, 1, 0])]; - tensor var_1909_end_0 = const()[name = tensor("op_1909_end_0"), val = tensor([35, 577, 1024])]; - tensor var_1909_end_mask_0 = const()[name = tensor("op_1909_end_mask_0"), val = tensor([true, true, true])]; - tensor op_1909_cast_fp16 = slice_by_index(begin = var_1909_begin_0, end = var_1909_end_0, end_mask = var_1909_end_mask_0, x = input_219_cast_fp16)[name = tensor("op_1909_cast_fp16")]; - tensor var_1911 = const()[name = tensor("op_1911"), val = tensor([35, 24, 24, 1024])]; - tensor op_1912_cast_fp16 = reshape(shape = var_1911, x = op_1909_cast_fp16)[name = tensor("op_1912_cast_fp16")]; - tensor var_1913 = const()[name = tensor("op_1913"), val = tensor([0, 3, 1, 2])]; - tensor image_patches_3_begin_0 = const()[name = tensor("image_patches_3_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor image_patches_3_end_0 = const()[name = tensor("image_patches_3_end_0"), val = tensor([25, 1024, 24, 24])]; - tensor image_patches_3_end_mask_0 = const()[name = tensor("image_patches_3_end_mask_0"), val = tensor([false, true, true, true])]; - tensor transpose_54_cast_fp16 = transpose(perm = var_1913, x = op_1912_cast_fp16)[name = tensor("transpose_55")]; - tensor image_patches_3_cast_fp16 = slice_by_index(begin = image_patches_3_begin_0, end = image_patches_3_end_0, end_mask = image_patches_3_end_mask_0, x = transpose_54_cast_fp16)[name = tensor("image_patches_3_cast_fp16")]; - tensor output_171_begin_0 = const()[name = tensor("output_171_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor output_171_end_0 = const()[name = tensor("output_171_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_171_end_mask_0 = const()[name = tensor("output_171_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_171_cast_fp16 = slice_by_index(begin = output_171_begin_0, end = output_171_end_0, end_mask = output_171_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_171_cast_fp16")]; - tensor var_1925_begin_0 = const()[name = tensor("op_1925_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1925_end_0 = const()[name = tensor("op_1925_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor var_1925_end_mask_0 = const()[name = tensor("op_1925_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1925_cast_fp16 = slice_by_index(begin = var_1925_begin_0, end = var_1925_end_0, end_mask = var_1925_end_mask_0, x = output_171_cast_fp16)[name = tensor("op_1925_cast_fp16")]; - tensor var_1928_begin_0 = const()[name = tensor("op_1928_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1928_end_0 = const()[name = tensor("op_1928_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_1928_end_mask_0 = const()[name = tensor("op_1928_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1928_cast_fp16 = slice_by_index(begin = var_1928_begin_0, end = var_1928_end_0, end_mask = var_1928_end_mask_0, x = op_1925_cast_fp16)[name = tensor("op_1928_cast_fp16")]; - tensor output_175_begin_0 = const()[name = tensor("output_175_begin_0"), val = tensor([1, 0, 0, 0])]; - tensor output_175_end_0 = const()[name = tensor("output_175_end_0"), val = tensor([2, 1024, 24, 24])]; - tensor output_175_end_mask_0 = const()[name = tensor("output_175_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_175_cast_fp16 = slice_by_index(begin = output_175_begin_0, end = output_175_end_0, end_mask = output_175_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_175_cast_fp16")]; - tensor output_177_begin_0 = const()[name = tensor("output_177_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_177_end_0 = const()[name = tensor("output_177_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_177_end_mask_0 = const()[name = tensor("output_177_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_177_cast_fp16 = slice_by_index(begin = output_177_begin_0, end = output_177_end_0, end_mask = output_177_end_mask_0, x = output_175_cast_fp16)[name = tensor("output_177_cast_fp16")]; - tensor var_1938_begin_0 = const()[name = tensor("op_1938_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1938_end_0 = const()[name = tensor("op_1938_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_1938_end_mask_0 = const()[name = tensor("op_1938_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1938_cast_fp16 = slice_by_index(begin = var_1938_begin_0, end = var_1938_end_0, end_mask = var_1938_end_mask_0, x = output_177_cast_fp16)[name = tensor("op_1938_cast_fp16")]; - tensor var_1941_begin_0 = const()[name = tensor("op_1941_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1941_end_0 = const()[name = tensor("op_1941_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_1941_end_mask_0 = const()[name = tensor("op_1941_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1941_cast_fp16 = slice_by_index(begin = var_1941_begin_0, end = var_1941_end_0, end_mask = var_1941_end_mask_0, x = op_1938_cast_fp16)[name = tensor("op_1941_cast_fp16")]; - tensor output_181_begin_0 = const()[name = tensor("output_181_begin_0"), val = tensor([2, 0, 0, 0])]; - tensor output_181_end_0 = const()[name = tensor("output_181_end_0"), val = tensor([3, 1024, 24, 24])]; - tensor output_181_end_mask_0 = const()[name = tensor("output_181_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_181_cast_fp16 = slice_by_index(begin = output_181_begin_0, end = output_181_end_0, end_mask = output_181_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_181_cast_fp16")]; - tensor output_183_begin_0 = const()[name = tensor("output_183_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_183_end_0 = const()[name = tensor("output_183_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_183_end_mask_0 = const()[name = tensor("output_183_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_183_cast_fp16 = slice_by_index(begin = output_183_begin_0, end = output_183_end_0, end_mask = output_183_end_mask_0, x = output_181_cast_fp16)[name = tensor("output_183_cast_fp16")]; - tensor var_1951_begin_0 = const()[name = tensor("op_1951_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1951_end_0 = const()[name = tensor("op_1951_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_1951_end_mask_0 = const()[name = tensor("op_1951_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1951_cast_fp16 = slice_by_index(begin = var_1951_begin_0, end = var_1951_end_0, end_mask = var_1951_end_mask_0, x = output_183_cast_fp16)[name = tensor("op_1951_cast_fp16")]; - tensor var_1954_begin_0 = const()[name = tensor("op_1954_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1954_end_0 = const()[name = tensor("op_1954_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_1954_end_mask_0 = const()[name = tensor("op_1954_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1954_cast_fp16 = slice_by_index(begin = var_1954_begin_0, end = var_1954_end_0, end_mask = var_1954_end_mask_0, x = op_1951_cast_fp16)[name = tensor("op_1954_cast_fp16")]; - tensor output_187_begin_0 = const()[name = tensor("output_187_begin_0"), val = tensor([3, 0, 0, 0])]; - tensor output_187_end_0 = const()[name = tensor("output_187_end_0"), val = tensor([4, 1024, 24, 24])]; - tensor output_187_end_mask_0 = const()[name = tensor("output_187_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_187_cast_fp16 = slice_by_index(begin = output_187_begin_0, end = output_187_end_0, end_mask = output_187_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_187_cast_fp16")]; - tensor output_189_begin_0 = const()[name = tensor("output_189_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_189_end_0 = const()[name = tensor("output_189_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_189_end_mask_0 = const()[name = tensor("output_189_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_189_cast_fp16 = slice_by_index(begin = output_189_begin_0, end = output_189_end_0, end_mask = output_189_end_mask_0, x = output_187_cast_fp16)[name = tensor("output_189_cast_fp16")]; - tensor var_1964_begin_0 = const()[name = tensor("op_1964_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1964_end_0 = const()[name = tensor("op_1964_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_1964_end_mask_0 = const()[name = tensor("op_1964_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1964_cast_fp16 = slice_by_index(begin = var_1964_begin_0, end = var_1964_end_0, end_mask = var_1964_end_mask_0, x = output_189_cast_fp16)[name = tensor("op_1964_cast_fp16")]; - tensor var_1967_begin_0 = const()[name = tensor("op_1967_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1967_end_0 = const()[name = tensor("op_1967_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_1967_end_mask_0 = const()[name = tensor("op_1967_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1967_cast_fp16 = slice_by_index(begin = var_1967_begin_0, end = var_1967_end_0, end_mask = var_1967_end_mask_0, x = op_1964_cast_fp16)[name = tensor("op_1967_cast_fp16")]; - tensor output_193_begin_0 = const()[name = tensor("output_193_begin_0"), val = tensor([4, 0, 0, 0])]; - tensor output_193_end_0 = const()[name = tensor("output_193_end_0"), val = tensor([5, 1024, 24, 24])]; - tensor output_193_end_mask_0 = const()[name = tensor("output_193_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_193_cast_fp16 = slice_by_index(begin = output_193_begin_0, end = output_193_end_0, end_mask = output_193_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_193_cast_fp16")]; - tensor output_195_begin_0 = const()[name = tensor("output_195_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_195_end_0 = const()[name = tensor("output_195_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_195_end_mask_0 = const()[name = tensor("output_195_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_195_cast_fp16 = slice_by_index(begin = output_195_begin_0, end = output_195_end_0, end_mask = output_195_end_mask_0, x = output_193_cast_fp16)[name = tensor("output_195_cast_fp16")]; - tensor var_1977_begin_0 = const()[name = tensor("op_1977_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1977_end_0 = const()[name = tensor("op_1977_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_1977_end_mask_0 = const()[name = tensor("op_1977_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1977_cast_fp16 = slice_by_index(begin = var_1977_begin_0, end = var_1977_end_0, end_mask = var_1977_end_mask_0, x = output_195_cast_fp16)[name = tensor("op_1977_cast_fp16")]; - tensor var_1980_interleave_0 = const()[name = tensor("op_1980_interleave_0"), val = tensor(false)]; - tensor op_1980_cast_fp16 = concat(axis = var_34, interleave = var_1980_interleave_0, values = (op_1928_cast_fp16, op_1941_cast_fp16, op_1954_cast_fp16, op_1967_cast_fp16, op_1977_cast_fp16))[name = tensor("op_1980_cast_fp16")]; - tensor output_199_begin_0 = const()[name = tensor("output_199_begin_0"), val = tensor([5, 0, 0, 0])]; - tensor output_199_end_0 = const()[name = tensor("output_199_end_0"), val = tensor([6, 1024, 24, 24])]; - tensor output_199_end_mask_0 = const()[name = tensor("output_199_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_199_cast_fp16 = slice_by_index(begin = output_199_begin_0, end = output_199_end_0, end_mask = output_199_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_199_cast_fp16")]; - tensor var_1988_begin_0 = const()[name = tensor("op_1988_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_1988_end_0 = const()[name = tensor("op_1988_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_1988_end_mask_0 = const()[name = tensor("op_1988_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_1988_cast_fp16 = slice_by_index(begin = var_1988_begin_0, end = var_1988_end_0, end_mask = var_1988_end_mask_0, x = output_199_cast_fp16)[name = tensor("op_1988_cast_fp16")]; - tensor var_1990_begin_0 = const()[name = tensor("op_1990_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1990_end_0 = const()[name = tensor("op_1990_end_0"), val = tensor([1, 1024, 18, 24])]; - tensor var_1990_end_mask_0 = const()[name = tensor("op_1990_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_1990_cast_fp16 = slice_by_index(begin = var_1990_begin_0, end = var_1990_end_0, end_mask = var_1990_end_mask_0, x = op_1988_cast_fp16)[name = tensor("op_1990_cast_fp16")]; - tensor var_1993_begin_0 = const()[name = tensor("op_1993_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_1993_end_0 = const()[name = tensor("op_1993_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_1993_end_mask_0 = const()[name = tensor("op_1993_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_1993_cast_fp16 = slice_by_index(begin = var_1993_begin_0, end = var_1993_end_0, end_mask = var_1993_end_mask_0, x = op_1990_cast_fp16)[name = tensor("op_1993_cast_fp16")]; - tensor output_205_begin_0 = const()[name = tensor("output_205_begin_0"), val = tensor([6, 0, 0, 0])]; - tensor output_205_end_0 = const()[name = tensor("output_205_end_0"), val = tensor([7, 1024, 24, 24])]; - tensor output_205_end_mask_0 = const()[name = tensor("output_205_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_205_cast_fp16 = slice_by_index(begin = output_205_begin_0, end = output_205_end_0, end_mask = output_205_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_205_cast_fp16")]; - tensor var_2001_begin_0 = const()[name = tensor("op_2001_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2001_end_0 = const()[name = tensor("op_2001_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2001_end_mask_0 = const()[name = tensor("op_2001_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2001_cast_fp16 = slice_by_index(begin = var_2001_begin_0, end = var_2001_end_0, end_mask = var_2001_end_mask_0, x = output_205_cast_fp16)[name = tensor("op_2001_cast_fp16")]; - tensor output_209_begin_0 = const()[name = tensor("output_209_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_209_end_0 = const()[name = tensor("output_209_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_209_end_mask_0 = const()[name = tensor("output_209_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_209_cast_fp16 = slice_by_index(begin = output_209_begin_0, end = output_209_end_0, end_mask = output_209_end_mask_0, x = op_2001_cast_fp16)[name = tensor("output_209_cast_fp16")]; - tensor var_2005_begin_0 = const()[name = tensor("op_2005_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2005_end_0 = const()[name = tensor("op_2005_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2005_end_mask_0 = const()[name = tensor("op_2005_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2005_cast_fp16 = slice_by_index(begin = var_2005_begin_0, end = var_2005_end_0, end_mask = var_2005_end_mask_0, x = output_209_cast_fp16)[name = tensor("op_2005_cast_fp16")]; - tensor var_2008_begin_0 = const()[name = tensor("op_2008_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2008_end_0 = const()[name = tensor("op_2008_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2008_end_mask_0 = const()[name = tensor("op_2008_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2008_cast_fp16 = slice_by_index(begin = var_2008_begin_0, end = var_2008_end_0, end_mask = var_2008_end_mask_0, x = op_2005_cast_fp16)[name = tensor("op_2008_cast_fp16")]; - tensor output_213_begin_0 = const()[name = tensor("output_213_begin_0"), val = tensor([7, 0, 0, 0])]; - tensor output_213_end_0 = const()[name = tensor("output_213_end_0"), val = tensor([8, 1024, 24, 24])]; - tensor output_213_end_mask_0 = const()[name = tensor("output_213_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_213_cast_fp16 = slice_by_index(begin = output_213_begin_0, end = output_213_end_0, end_mask = output_213_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_213_cast_fp16")]; - tensor var_2016_begin_0 = const()[name = tensor("op_2016_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2016_end_0 = const()[name = tensor("op_2016_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2016_end_mask_0 = const()[name = tensor("op_2016_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2016_cast_fp16 = slice_by_index(begin = var_2016_begin_0, end = var_2016_end_0, end_mask = var_2016_end_mask_0, x = output_213_cast_fp16)[name = tensor("op_2016_cast_fp16")]; - tensor output_217_begin_0 = const()[name = tensor("output_217_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_217_end_0 = const()[name = tensor("output_217_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_217_end_mask_0 = const()[name = tensor("output_217_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_217_cast_fp16 = slice_by_index(begin = output_217_begin_0, end = output_217_end_0, end_mask = output_217_end_mask_0, x = op_2016_cast_fp16)[name = tensor("output_217_cast_fp16")]; - tensor var_2020_begin_0 = const()[name = tensor("op_2020_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2020_end_0 = const()[name = tensor("op_2020_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2020_end_mask_0 = const()[name = tensor("op_2020_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2020_cast_fp16 = slice_by_index(begin = var_2020_begin_0, end = var_2020_end_0, end_mask = var_2020_end_mask_0, x = output_217_cast_fp16)[name = tensor("op_2020_cast_fp16")]; - tensor var_2023_begin_0 = const()[name = tensor("op_2023_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2023_end_0 = const()[name = tensor("op_2023_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2023_end_mask_0 = const()[name = tensor("op_2023_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2023_cast_fp16 = slice_by_index(begin = var_2023_begin_0, end = var_2023_end_0, end_mask = var_2023_end_mask_0, x = op_2020_cast_fp16)[name = tensor("op_2023_cast_fp16")]; - tensor output_221_begin_0 = const()[name = tensor("output_221_begin_0"), val = tensor([8, 0, 0, 0])]; - tensor output_221_end_0 = const()[name = tensor("output_221_end_0"), val = tensor([9, 1024, 24, 24])]; - tensor output_221_end_mask_0 = const()[name = tensor("output_221_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_221_cast_fp16 = slice_by_index(begin = output_221_begin_0, end = output_221_end_0, end_mask = output_221_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_221_cast_fp16")]; - tensor var_2031_begin_0 = const()[name = tensor("op_2031_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2031_end_0 = const()[name = tensor("op_2031_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2031_end_mask_0 = const()[name = tensor("op_2031_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2031_cast_fp16 = slice_by_index(begin = var_2031_begin_0, end = var_2031_end_0, end_mask = var_2031_end_mask_0, x = output_221_cast_fp16)[name = tensor("op_2031_cast_fp16")]; - tensor output_225_begin_0 = const()[name = tensor("output_225_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_225_end_0 = const()[name = tensor("output_225_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_225_end_mask_0 = const()[name = tensor("output_225_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_225_cast_fp16 = slice_by_index(begin = output_225_begin_0, end = output_225_end_0, end_mask = output_225_end_mask_0, x = op_2031_cast_fp16)[name = tensor("output_225_cast_fp16")]; - tensor var_2035_begin_0 = const()[name = tensor("op_2035_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2035_end_0 = const()[name = tensor("op_2035_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2035_end_mask_0 = const()[name = tensor("op_2035_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2035_cast_fp16 = slice_by_index(begin = var_2035_begin_0, end = var_2035_end_0, end_mask = var_2035_end_mask_0, x = output_225_cast_fp16)[name = tensor("op_2035_cast_fp16")]; - tensor var_2038_begin_0 = const()[name = tensor("op_2038_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2038_end_0 = const()[name = tensor("op_2038_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2038_end_mask_0 = const()[name = tensor("op_2038_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2038_cast_fp16 = slice_by_index(begin = var_2038_begin_0, end = var_2038_end_0, end_mask = var_2038_end_mask_0, x = op_2035_cast_fp16)[name = tensor("op_2038_cast_fp16")]; - tensor output_229_begin_0 = const()[name = tensor("output_229_begin_0"), val = tensor([9, 0, 0, 0])]; - tensor output_229_end_0 = const()[name = tensor("output_229_end_0"), val = tensor([10, 1024, 24, 24])]; - tensor output_229_end_mask_0 = const()[name = tensor("output_229_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_229_cast_fp16 = slice_by_index(begin = output_229_begin_0, end = output_229_end_0, end_mask = output_229_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_229_cast_fp16")]; - tensor var_2046_begin_0 = const()[name = tensor("op_2046_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2046_end_0 = const()[name = tensor("op_2046_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2046_end_mask_0 = const()[name = tensor("op_2046_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2046_cast_fp16 = slice_by_index(begin = var_2046_begin_0, end = var_2046_end_0, end_mask = var_2046_end_mask_0, x = output_229_cast_fp16)[name = tensor("op_2046_cast_fp16")]; - tensor output_233_begin_0 = const()[name = tensor("output_233_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_233_end_0 = const()[name = tensor("output_233_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_233_end_mask_0 = const()[name = tensor("output_233_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_233_cast_fp16 = slice_by_index(begin = output_233_begin_0, end = output_233_end_0, end_mask = output_233_end_mask_0, x = op_2046_cast_fp16)[name = tensor("output_233_cast_fp16")]; - tensor var_2050_begin_0 = const()[name = tensor("op_2050_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2050_end_0 = const()[name = tensor("op_2050_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2050_end_mask_0 = const()[name = tensor("op_2050_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2050_cast_fp16 = slice_by_index(begin = var_2050_begin_0, end = var_2050_end_0, end_mask = var_2050_end_mask_0, x = output_233_cast_fp16)[name = tensor("op_2050_cast_fp16")]; - tensor var_2053_interleave_0 = const()[name = tensor("op_2053_interleave_0"), val = tensor(false)]; - tensor op_2053_cast_fp16 = concat(axis = var_34, interleave = var_2053_interleave_0, values = (op_1993_cast_fp16, op_2008_cast_fp16, op_2023_cast_fp16, op_2038_cast_fp16, op_2050_cast_fp16))[name = tensor("op_2053_cast_fp16")]; - tensor output_237_begin_0 = const()[name = tensor("output_237_begin_0"), val = tensor([10, 0, 0, 0])]; - tensor output_237_end_0 = const()[name = tensor("output_237_end_0"), val = tensor([11, 1024, 24, 24])]; - tensor output_237_end_mask_0 = const()[name = tensor("output_237_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_237_cast_fp16 = slice_by_index(begin = output_237_begin_0, end = output_237_end_0, end_mask = output_237_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_237_cast_fp16")]; - tensor var_2061_begin_0 = const()[name = tensor("op_2061_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2061_end_0 = const()[name = tensor("op_2061_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2061_end_mask_0 = const()[name = tensor("op_2061_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2061_cast_fp16 = slice_by_index(begin = var_2061_begin_0, end = var_2061_end_0, end_mask = var_2061_end_mask_0, x = output_237_cast_fp16)[name = tensor("op_2061_cast_fp16")]; - tensor var_2063_begin_0 = const()[name = tensor("op_2063_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2063_end_0 = const()[name = tensor("op_2063_end_0"), val = tensor([1, 1024, 18, 24])]; - tensor var_2063_end_mask_0 = const()[name = tensor("op_2063_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2063_cast_fp16 = slice_by_index(begin = var_2063_begin_0, end = var_2063_end_0, end_mask = var_2063_end_mask_0, x = op_2061_cast_fp16)[name = tensor("op_2063_cast_fp16")]; - tensor var_2066_begin_0 = const()[name = tensor("op_2066_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2066_end_0 = const()[name = tensor("op_2066_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2066_end_mask_0 = const()[name = tensor("op_2066_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2066_cast_fp16 = slice_by_index(begin = var_2066_begin_0, end = var_2066_end_0, end_mask = var_2066_end_mask_0, x = op_2063_cast_fp16)[name = tensor("op_2066_cast_fp16")]; - tensor output_243_begin_0 = const()[name = tensor("output_243_begin_0"), val = tensor([11, 0, 0, 0])]; - tensor output_243_end_0 = const()[name = tensor("output_243_end_0"), val = tensor([12, 1024, 24, 24])]; - tensor output_243_end_mask_0 = const()[name = tensor("output_243_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_243_cast_fp16 = slice_by_index(begin = output_243_begin_0, end = output_243_end_0, end_mask = output_243_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_243_cast_fp16")]; - tensor var_2074_begin_0 = const()[name = tensor("op_2074_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2074_end_0 = const()[name = tensor("op_2074_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2074_end_mask_0 = const()[name = tensor("op_2074_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2074_cast_fp16 = slice_by_index(begin = var_2074_begin_0, end = var_2074_end_0, end_mask = var_2074_end_mask_0, x = output_243_cast_fp16)[name = tensor("op_2074_cast_fp16")]; - tensor output_247_begin_0 = const()[name = tensor("output_247_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_247_end_0 = const()[name = tensor("output_247_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_247_end_mask_0 = const()[name = tensor("output_247_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_247_cast_fp16 = slice_by_index(begin = output_247_begin_0, end = output_247_end_0, end_mask = output_247_end_mask_0, x = op_2074_cast_fp16)[name = tensor("output_247_cast_fp16")]; - tensor var_2078_begin_0 = const()[name = tensor("op_2078_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2078_end_0 = const()[name = tensor("op_2078_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2078_end_mask_0 = const()[name = tensor("op_2078_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2078_cast_fp16 = slice_by_index(begin = var_2078_begin_0, end = var_2078_end_0, end_mask = var_2078_end_mask_0, x = output_247_cast_fp16)[name = tensor("op_2078_cast_fp16")]; - tensor var_2081_begin_0 = const()[name = tensor("op_2081_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2081_end_0 = const()[name = tensor("op_2081_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2081_end_mask_0 = const()[name = tensor("op_2081_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2081_cast_fp16 = slice_by_index(begin = var_2081_begin_0, end = var_2081_end_0, end_mask = var_2081_end_mask_0, x = op_2078_cast_fp16)[name = tensor("op_2081_cast_fp16")]; - tensor output_251_begin_0 = const()[name = tensor("output_251_begin_0"), val = tensor([12, 0, 0, 0])]; - tensor output_251_end_0 = const()[name = tensor("output_251_end_0"), val = tensor([13, 1024, 24, 24])]; - tensor output_251_end_mask_0 = const()[name = tensor("output_251_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_251_cast_fp16 = slice_by_index(begin = output_251_begin_0, end = output_251_end_0, end_mask = output_251_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_251_cast_fp16")]; - tensor var_2089_begin_0 = const()[name = tensor("op_2089_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2089_end_0 = const()[name = tensor("op_2089_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2089_end_mask_0 = const()[name = tensor("op_2089_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2089_cast_fp16 = slice_by_index(begin = var_2089_begin_0, end = var_2089_end_0, end_mask = var_2089_end_mask_0, x = output_251_cast_fp16)[name = tensor("op_2089_cast_fp16")]; - tensor output_255_begin_0 = const()[name = tensor("output_255_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_255_end_0 = const()[name = tensor("output_255_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_255_end_mask_0 = const()[name = tensor("output_255_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_255_cast_fp16 = slice_by_index(begin = output_255_begin_0, end = output_255_end_0, end_mask = output_255_end_mask_0, x = op_2089_cast_fp16)[name = tensor("output_255_cast_fp16")]; - tensor var_2093_begin_0 = const()[name = tensor("op_2093_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2093_end_0 = const()[name = tensor("op_2093_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2093_end_mask_0 = const()[name = tensor("op_2093_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2093_cast_fp16 = slice_by_index(begin = var_2093_begin_0, end = var_2093_end_0, end_mask = var_2093_end_mask_0, x = output_255_cast_fp16)[name = tensor("op_2093_cast_fp16")]; - tensor var_2096_begin_0 = const()[name = tensor("op_2096_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2096_end_0 = const()[name = tensor("op_2096_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2096_end_mask_0 = const()[name = tensor("op_2096_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2096_cast_fp16 = slice_by_index(begin = var_2096_begin_0, end = var_2096_end_0, end_mask = var_2096_end_mask_0, x = op_2093_cast_fp16)[name = tensor("op_2096_cast_fp16")]; - tensor output_259_begin_0 = const()[name = tensor("output_259_begin_0"), val = tensor([13, 0, 0, 0])]; - tensor output_259_end_0 = const()[name = tensor("output_259_end_0"), val = tensor([14, 1024, 24, 24])]; - tensor output_259_end_mask_0 = const()[name = tensor("output_259_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_259_cast_fp16 = slice_by_index(begin = output_259_begin_0, end = output_259_end_0, end_mask = output_259_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_259_cast_fp16")]; - tensor var_2104_begin_0 = const()[name = tensor("op_2104_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2104_end_0 = const()[name = tensor("op_2104_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2104_end_mask_0 = const()[name = tensor("op_2104_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2104_cast_fp16 = slice_by_index(begin = var_2104_begin_0, end = var_2104_end_0, end_mask = var_2104_end_mask_0, x = output_259_cast_fp16)[name = tensor("op_2104_cast_fp16")]; - tensor output_263_begin_0 = const()[name = tensor("output_263_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_263_end_0 = const()[name = tensor("output_263_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_263_end_mask_0 = const()[name = tensor("output_263_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_263_cast_fp16 = slice_by_index(begin = output_263_begin_0, end = output_263_end_0, end_mask = output_263_end_mask_0, x = op_2104_cast_fp16)[name = tensor("output_263_cast_fp16")]; - tensor var_2108_begin_0 = const()[name = tensor("op_2108_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2108_end_0 = const()[name = tensor("op_2108_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2108_end_mask_0 = const()[name = tensor("op_2108_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2108_cast_fp16 = slice_by_index(begin = var_2108_begin_0, end = var_2108_end_0, end_mask = var_2108_end_mask_0, x = output_263_cast_fp16)[name = tensor("op_2108_cast_fp16")]; - tensor var_2111_begin_0 = const()[name = tensor("op_2111_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2111_end_0 = const()[name = tensor("op_2111_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2111_end_mask_0 = const()[name = tensor("op_2111_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2111_cast_fp16 = slice_by_index(begin = var_2111_begin_0, end = var_2111_end_0, end_mask = var_2111_end_mask_0, x = op_2108_cast_fp16)[name = tensor("op_2111_cast_fp16")]; - tensor output_267_begin_0 = const()[name = tensor("output_267_begin_0"), val = tensor([14, 0, 0, 0])]; - tensor output_267_end_0 = const()[name = tensor("output_267_end_0"), val = tensor([15, 1024, 24, 24])]; - tensor output_267_end_mask_0 = const()[name = tensor("output_267_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_267_cast_fp16 = slice_by_index(begin = output_267_begin_0, end = output_267_end_0, end_mask = output_267_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_267_cast_fp16")]; - tensor var_2119_begin_0 = const()[name = tensor("op_2119_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2119_end_0 = const()[name = tensor("op_2119_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2119_end_mask_0 = const()[name = tensor("op_2119_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2119_cast_fp16 = slice_by_index(begin = var_2119_begin_0, end = var_2119_end_0, end_mask = var_2119_end_mask_0, x = output_267_cast_fp16)[name = tensor("op_2119_cast_fp16")]; - tensor output_271_begin_0 = const()[name = tensor("output_271_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_271_end_0 = const()[name = tensor("output_271_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_271_end_mask_0 = const()[name = tensor("output_271_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_271_cast_fp16 = slice_by_index(begin = output_271_begin_0, end = output_271_end_0, end_mask = output_271_end_mask_0, x = op_2119_cast_fp16)[name = tensor("output_271_cast_fp16")]; - tensor var_2123_begin_0 = const()[name = tensor("op_2123_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2123_end_0 = const()[name = tensor("op_2123_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2123_end_mask_0 = const()[name = tensor("op_2123_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2123_cast_fp16 = slice_by_index(begin = var_2123_begin_0, end = var_2123_end_0, end_mask = var_2123_end_mask_0, x = output_271_cast_fp16)[name = tensor("op_2123_cast_fp16")]; - tensor var_2126_interleave_0 = const()[name = tensor("op_2126_interleave_0"), val = tensor(false)]; - tensor op_2126_cast_fp16 = concat(axis = var_34, interleave = var_2126_interleave_0, values = (op_2066_cast_fp16, op_2081_cast_fp16, op_2096_cast_fp16, op_2111_cast_fp16, op_2123_cast_fp16))[name = tensor("op_2126_cast_fp16")]; - tensor output_275_begin_0 = const()[name = tensor("output_275_begin_0"), val = tensor([15, 0, 0, 0])]; - tensor output_275_end_0 = const()[name = tensor("output_275_end_0"), val = tensor([16, 1024, 24, 24])]; - tensor output_275_end_mask_0 = const()[name = tensor("output_275_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_275_cast_fp16 = slice_by_index(begin = output_275_begin_0, end = output_275_end_0, end_mask = output_275_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_275_cast_fp16")]; - tensor var_2134_begin_0 = const()[name = tensor("op_2134_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2134_end_0 = const()[name = tensor("op_2134_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2134_end_mask_0 = const()[name = tensor("op_2134_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2134_cast_fp16 = slice_by_index(begin = var_2134_begin_0, end = var_2134_end_0, end_mask = var_2134_end_mask_0, x = output_275_cast_fp16)[name = tensor("op_2134_cast_fp16")]; - tensor var_2136_begin_0 = const()[name = tensor("op_2136_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2136_end_0 = const()[name = tensor("op_2136_end_0"), val = tensor([1, 1024, 18, 24])]; - tensor var_2136_end_mask_0 = const()[name = tensor("op_2136_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2136_cast_fp16 = slice_by_index(begin = var_2136_begin_0, end = var_2136_end_0, end_mask = var_2136_end_mask_0, x = op_2134_cast_fp16)[name = tensor("op_2136_cast_fp16")]; - tensor var_2139_begin_0 = const()[name = tensor("op_2139_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2139_end_0 = const()[name = tensor("op_2139_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2139_end_mask_0 = const()[name = tensor("op_2139_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2139_cast_fp16 = slice_by_index(begin = var_2139_begin_0, end = var_2139_end_0, end_mask = var_2139_end_mask_0, x = op_2136_cast_fp16)[name = tensor("op_2139_cast_fp16")]; - tensor output_281_begin_0 = const()[name = tensor("output_281_begin_0"), val = tensor([16, 0, 0, 0])]; - tensor output_281_end_0 = const()[name = tensor("output_281_end_0"), val = tensor([17, 1024, 24, 24])]; - tensor output_281_end_mask_0 = const()[name = tensor("output_281_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_281_cast_fp16 = slice_by_index(begin = output_281_begin_0, end = output_281_end_0, end_mask = output_281_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_281_cast_fp16")]; - tensor var_2147_begin_0 = const()[name = tensor("op_2147_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2147_end_0 = const()[name = tensor("op_2147_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2147_end_mask_0 = const()[name = tensor("op_2147_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2147_cast_fp16 = slice_by_index(begin = var_2147_begin_0, end = var_2147_end_0, end_mask = var_2147_end_mask_0, x = output_281_cast_fp16)[name = tensor("op_2147_cast_fp16")]; - tensor output_285_begin_0 = const()[name = tensor("output_285_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_285_end_0 = const()[name = tensor("output_285_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_285_end_mask_0 = const()[name = tensor("output_285_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_285_cast_fp16 = slice_by_index(begin = output_285_begin_0, end = output_285_end_0, end_mask = output_285_end_mask_0, x = op_2147_cast_fp16)[name = tensor("output_285_cast_fp16")]; - tensor var_2151_begin_0 = const()[name = tensor("op_2151_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2151_end_0 = const()[name = tensor("op_2151_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2151_end_mask_0 = const()[name = tensor("op_2151_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2151_cast_fp16 = slice_by_index(begin = var_2151_begin_0, end = var_2151_end_0, end_mask = var_2151_end_mask_0, x = output_285_cast_fp16)[name = tensor("op_2151_cast_fp16")]; - tensor var_2154_begin_0 = const()[name = tensor("op_2154_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2154_end_0 = const()[name = tensor("op_2154_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2154_end_mask_0 = const()[name = tensor("op_2154_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2154_cast_fp16 = slice_by_index(begin = var_2154_begin_0, end = var_2154_end_0, end_mask = var_2154_end_mask_0, x = op_2151_cast_fp16)[name = tensor("op_2154_cast_fp16")]; - tensor output_289_begin_0 = const()[name = tensor("output_289_begin_0"), val = tensor([17, 0, 0, 0])]; - tensor output_289_end_0 = const()[name = tensor("output_289_end_0"), val = tensor([18, 1024, 24, 24])]; - tensor output_289_end_mask_0 = const()[name = tensor("output_289_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_289_cast_fp16 = slice_by_index(begin = output_289_begin_0, end = output_289_end_0, end_mask = output_289_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_289_cast_fp16")]; - tensor var_2162_begin_0 = const()[name = tensor("op_2162_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2162_end_0 = const()[name = tensor("op_2162_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2162_end_mask_0 = const()[name = tensor("op_2162_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2162_cast_fp16 = slice_by_index(begin = var_2162_begin_0, end = var_2162_end_0, end_mask = var_2162_end_mask_0, x = output_289_cast_fp16)[name = tensor("op_2162_cast_fp16")]; - tensor output_293_begin_0 = const()[name = tensor("output_293_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_293_end_0 = const()[name = tensor("output_293_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_293_end_mask_0 = const()[name = tensor("output_293_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_293_cast_fp16 = slice_by_index(begin = output_293_begin_0, end = output_293_end_0, end_mask = output_293_end_mask_0, x = op_2162_cast_fp16)[name = tensor("output_293_cast_fp16")]; - tensor var_2166_begin_0 = const()[name = tensor("op_2166_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2166_end_0 = const()[name = tensor("op_2166_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2166_end_mask_0 = const()[name = tensor("op_2166_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2166_cast_fp16 = slice_by_index(begin = var_2166_begin_0, end = var_2166_end_0, end_mask = var_2166_end_mask_0, x = output_293_cast_fp16)[name = tensor("op_2166_cast_fp16")]; - tensor var_2169_begin_0 = const()[name = tensor("op_2169_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2169_end_0 = const()[name = tensor("op_2169_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2169_end_mask_0 = const()[name = tensor("op_2169_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2169_cast_fp16 = slice_by_index(begin = var_2169_begin_0, end = var_2169_end_0, end_mask = var_2169_end_mask_0, x = op_2166_cast_fp16)[name = tensor("op_2169_cast_fp16")]; - tensor output_297_begin_0 = const()[name = tensor("output_297_begin_0"), val = tensor([18, 0, 0, 0])]; - tensor output_297_end_0 = const()[name = tensor("output_297_end_0"), val = tensor([19, 1024, 24, 24])]; - tensor output_297_end_mask_0 = const()[name = tensor("output_297_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_297_cast_fp16 = slice_by_index(begin = output_297_begin_0, end = output_297_end_0, end_mask = output_297_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_297_cast_fp16")]; - tensor var_2177_begin_0 = const()[name = tensor("op_2177_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2177_end_0 = const()[name = tensor("op_2177_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2177_end_mask_0 = const()[name = tensor("op_2177_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2177_cast_fp16 = slice_by_index(begin = var_2177_begin_0, end = var_2177_end_0, end_mask = var_2177_end_mask_0, x = output_297_cast_fp16)[name = tensor("op_2177_cast_fp16")]; - tensor output_301_begin_0 = const()[name = tensor("output_301_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_301_end_0 = const()[name = tensor("output_301_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_301_end_mask_0 = const()[name = tensor("output_301_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_301_cast_fp16 = slice_by_index(begin = output_301_begin_0, end = output_301_end_0, end_mask = output_301_end_mask_0, x = op_2177_cast_fp16)[name = tensor("output_301_cast_fp16")]; - tensor var_2181_begin_0 = const()[name = tensor("op_2181_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2181_end_0 = const()[name = tensor("op_2181_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2181_end_mask_0 = const()[name = tensor("op_2181_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2181_cast_fp16 = slice_by_index(begin = var_2181_begin_0, end = var_2181_end_0, end_mask = var_2181_end_mask_0, x = output_301_cast_fp16)[name = tensor("op_2181_cast_fp16")]; - tensor var_2184_begin_0 = const()[name = tensor("op_2184_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2184_end_0 = const()[name = tensor("op_2184_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2184_end_mask_0 = const()[name = tensor("op_2184_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2184_cast_fp16 = slice_by_index(begin = var_2184_begin_0, end = var_2184_end_0, end_mask = var_2184_end_mask_0, x = op_2181_cast_fp16)[name = tensor("op_2184_cast_fp16")]; - tensor output_305_begin_0 = const()[name = tensor("output_305_begin_0"), val = tensor([19, 0, 0, 0])]; - tensor output_305_end_0 = const()[name = tensor("output_305_end_0"), val = tensor([20, 1024, 24, 24])]; - tensor output_305_end_mask_0 = const()[name = tensor("output_305_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_305_cast_fp16 = slice_by_index(begin = output_305_begin_0, end = output_305_end_0, end_mask = output_305_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_305_cast_fp16")]; - tensor var_2192_begin_0 = const()[name = tensor("op_2192_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2192_end_0 = const()[name = tensor("op_2192_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2192_end_mask_0 = const()[name = tensor("op_2192_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2192_cast_fp16 = slice_by_index(begin = var_2192_begin_0, end = var_2192_end_0, end_mask = var_2192_end_mask_0, x = output_305_cast_fp16)[name = tensor("op_2192_cast_fp16")]; - tensor output_309_begin_0 = const()[name = tensor("output_309_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_309_end_0 = const()[name = tensor("output_309_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_309_end_mask_0 = const()[name = tensor("output_309_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_309_cast_fp16 = slice_by_index(begin = output_309_begin_0, end = output_309_end_0, end_mask = output_309_end_mask_0, x = op_2192_cast_fp16)[name = tensor("output_309_cast_fp16")]; - tensor var_2196_begin_0 = const()[name = tensor("op_2196_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2196_end_0 = const()[name = tensor("op_2196_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2196_end_mask_0 = const()[name = tensor("op_2196_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2196_cast_fp16 = slice_by_index(begin = var_2196_begin_0, end = var_2196_end_0, end_mask = var_2196_end_mask_0, x = output_309_cast_fp16)[name = tensor("op_2196_cast_fp16")]; - tensor var_2199_interleave_0 = const()[name = tensor("op_2199_interleave_0"), val = tensor(false)]; - tensor op_2199_cast_fp16 = concat(axis = var_34, interleave = var_2199_interleave_0, values = (op_2139_cast_fp16, op_2154_cast_fp16, op_2169_cast_fp16, op_2184_cast_fp16, op_2196_cast_fp16))[name = tensor("op_2199_cast_fp16")]; - tensor output_313_begin_0 = const()[name = tensor("output_313_begin_0"), val = tensor([20, 0, 0, 0])]; - tensor output_313_end_0 = const()[name = tensor("output_313_end_0"), val = tensor([21, 1024, 24, 24])]; - tensor output_313_end_mask_0 = const()[name = tensor("output_313_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_313_cast_fp16 = slice_by_index(begin = output_313_begin_0, end = output_313_end_0, end_mask = output_313_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_313_cast_fp16")]; - tensor var_2207_begin_0 = const()[name = tensor("op_2207_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2207_end_0 = const()[name = tensor("op_2207_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2207_end_mask_0 = const()[name = tensor("op_2207_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2207_cast_fp16 = slice_by_index(begin = var_2207_begin_0, end = var_2207_end_0, end_mask = var_2207_end_mask_0, x = output_313_cast_fp16)[name = tensor("op_2207_cast_fp16")]; - tensor var_2210_begin_0 = const()[name = tensor("op_2210_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2210_end_0 = const()[name = tensor("op_2210_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_2210_end_mask_0 = const()[name = tensor("op_2210_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2210_cast_fp16 = slice_by_index(begin = var_2210_begin_0, end = var_2210_end_0, end_mask = var_2210_end_mask_0, x = op_2207_cast_fp16)[name = tensor("op_2210_cast_fp16")]; - tensor output_317_begin_0 = const()[name = tensor("output_317_begin_0"), val = tensor([21, 0, 0, 0])]; - tensor output_317_end_0 = const()[name = tensor("output_317_end_0"), val = tensor([22, 1024, 24, 24])]; - tensor output_317_end_mask_0 = const()[name = tensor("output_317_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_317_cast_fp16 = slice_by_index(begin = output_317_begin_0, end = output_317_end_0, end_mask = output_317_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_317_cast_fp16")]; - tensor var_2218_begin_0 = const()[name = tensor("op_2218_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2218_end_0 = const()[name = tensor("op_2218_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2218_end_mask_0 = const()[name = tensor("op_2218_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2218_cast_fp16 = slice_by_index(begin = var_2218_begin_0, end = var_2218_end_0, end_mask = var_2218_end_mask_0, x = output_317_cast_fp16)[name = tensor("op_2218_cast_fp16")]; - tensor output_321_begin_0 = const()[name = tensor("output_321_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_321_end_0 = const()[name = tensor("output_321_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_321_end_mask_0 = const()[name = tensor("output_321_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_321_cast_fp16 = slice_by_index(begin = output_321_begin_0, end = output_321_end_0, end_mask = output_321_end_mask_0, x = op_2218_cast_fp16)[name = tensor("output_321_cast_fp16")]; - tensor var_2223_begin_0 = const()[name = tensor("op_2223_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2223_end_0 = const()[name = tensor("op_2223_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_2223_end_mask_0 = const()[name = tensor("op_2223_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2223_cast_fp16 = slice_by_index(begin = var_2223_begin_0, end = var_2223_end_0, end_mask = var_2223_end_mask_0, x = output_321_cast_fp16)[name = tensor("op_2223_cast_fp16")]; - tensor output_323_begin_0 = const()[name = tensor("output_323_begin_0"), val = tensor([22, 0, 0, 0])]; - tensor output_323_end_0 = const()[name = tensor("output_323_end_0"), val = tensor([23, 1024, 24, 24])]; - tensor output_323_end_mask_0 = const()[name = tensor("output_323_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_323_cast_fp16 = slice_by_index(begin = output_323_begin_0, end = output_323_end_0, end_mask = output_323_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_323_cast_fp16")]; - tensor var_2231_begin_0 = const()[name = tensor("op_2231_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2231_end_0 = const()[name = tensor("op_2231_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2231_end_mask_0 = const()[name = tensor("op_2231_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2231_cast_fp16 = slice_by_index(begin = var_2231_begin_0, end = var_2231_end_0, end_mask = var_2231_end_mask_0, x = output_323_cast_fp16)[name = tensor("op_2231_cast_fp16")]; - tensor output_327_begin_0 = const()[name = tensor("output_327_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_327_end_0 = const()[name = tensor("output_327_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_327_end_mask_0 = const()[name = tensor("output_327_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_327_cast_fp16 = slice_by_index(begin = output_327_begin_0, end = output_327_end_0, end_mask = output_327_end_mask_0, x = op_2231_cast_fp16)[name = tensor("output_327_cast_fp16")]; - tensor var_2236_begin_0 = const()[name = tensor("op_2236_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2236_end_0 = const()[name = tensor("op_2236_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_2236_end_mask_0 = const()[name = tensor("op_2236_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2236_cast_fp16 = slice_by_index(begin = var_2236_begin_0, end = var_2236_end_0, end_mask = var_2236_end_mask_0, x = output_327_cast_fp16)[name = tensor("op_2236_cast_fp16")]; - tensor output_329_begin_0 = const()[name = tensor("output_329_begin_0"), val = tensor([23, 0, 0, 0])]; - tensor output_329_end_0 = const()[name = tensor("output_329_end_0"), val = tensor([24, 1024, 24, 24])]; - tensor output_329_end_mask_0 = const()[name = tensor("output_329_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_329_cast_fp16 = slice_by_index(begin = output_329_begin_0, end = output_329_end_0, end_mask = output_329_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_329_cast_fp16")]; - tensor var_2244_begin_0 = const()[name = tensor("op_2244_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2244_end_0 = const()[name = tensor("op_2244_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2244_end_mask_0 = const()[name = tensor("op_2244_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2244_cast_fp16 = slice_by_index(begin = var_2244_begin_0, end = var_2244_end_0, end_mask = var_2244_end_mask_0, x = output_329_cast_fp16)[name = tensor("op_2244_cast_fp16")]; - tensor output_333_begin_0 = const()[name = tensor("output_333_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_333_end_0 = const()[name = tensor("output_333_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_333_end_mask_0 = const()[name = tensor("output_333_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_333_cast_fp16 = slice_by_index(begin = output_333_begin_0, end = output_333_end_0, end_mask = output_333_end_mask_0, x = op_2244_cast_fp16)[name = tensor("output_333_cast_fp16")]; - tensor var_2249_begin_0 = const()[name = tensor("op_2249_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2249_end_0 = const()[name = tensor("op_2249_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_2249_end_mask_0 = const()[name = tensor("op_2249_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2249_cast_fp16 = slice_by_index(begin = var_2249_begin_0, end = var_2249_end_0, end_mask = var_2249_end_mask_0, x = output_333_cast_fp16)[name = tensor("op_2249_cast_fp16")]; - tensor output_335_begin_0 = const()[name = tensor("output_335_begin_0"), val = tensor([24, 0, 0, 0])]; - tensor output_335_end_0 = const()[name = tensor("output_335_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_335_end_mask_0 = const()[name = tensor("output_335_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_335_cast_fp16 = slice_by_index(begin = output_335_begin_0, end = output_335_end_0, end_mask = output_335_end_mask_0, x = image_patches_3_cast_fp16)[name = tensor("output_335_cast_fp16")]; - tensor var_2257_begin_0 = const()[name = tensor("op_2257_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2257_end_0 = const()[name = tensor("op_2257_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2257_end_mask_0 = const()[name = tensor("op_2257_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2257_cast_fp16 = slice_by_index(begin = var_2257_begin_0, end = var_2257_end_0, end_mask = var_2257_end_mask_0, x = output_335_cast_fp16)[name = tensor("op_2257_cast_fp16")]; - tensor output_339_begin_0 = const()[name = tensor("output_339_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_339_end_0 = const()[name = tensor("output_339_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_339_end_mask_0 = const()[name = tensor("output_339_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_339_cast_fp16 = slice_by_index(begin = output_339_begin_0, end = output_339_end_0, end_mask = output_339_end_mask_0, x = op_2257_cast_fp16)[name = tensor("output_339_cast_fp16")]; - tensor output_row_3_interleave_0 = const()[name = tensor("output_row_3_interleave_0"), val = tensor(false)]; - tensor output_row_3_cast_fp16 = concat(axis = var_34, interleave = output_row_3_interleave_0, values = (op_2210_cast_fp16, op_2223_cast_fp16, op_2236_cast_fp16, op_2249_cast_fp16, output_339_cast_fp16))[name = tensor("output_row_3_cast_fp16")]; - tensor input_881_interleave_0 = const()[name = tensor("input_881_interleave_0"), val = tensor(false)]; - tensor input_881_cast_fp16 = concat(axis = var_36, interleave = input_881_interleave_0, values = (op_1980_cast_fp16, op_2053_cast_fp16, op_2126_cast_fp16, op_2199_cast_fp16, output_row_3_cast_fp16))[name = tensor("input_881_cast_fp16")]; - tensor var_2265 = const()[name = tensor("op_2265"), val = tensor([25, 9, 1])]; - tensor var_2266_axis_0 = const()[name = tensor("op_2266_axis_0"), val = tensor(0)]; - tensor transpose_56_cast_fp16 = transpose(perm = var_1541, x = op_1540_cast_fp16)[name = tensor("transpose_54")]; - tensor op_2266_cast_fp16_0, tensor op_2266_cast_fp16_1, tensor op_2266_cast_fp16_2 = split(axis = var_2266_axis_0, split_sizes = var_2265, x = transpose_56_cast_fp16)[name = tensor("op_2266_cast_fp16")]; - tensor output_341_begin_0 = const()[name = tensor("output_341_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor output_341_end_0 = const()[name = tensor("output_341_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_341_end_mask_0 = const()[name = tensor("output_341_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_341_cast_fp16 = slice_by_index(begin = output_341_begin_0, end = output_341_end_0, end_mask = output_341_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_341_cast_fp16")]; - tensor var_2277_begin_0 = const()[name = tensor("op_2277_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2277_end_0 = const()[name = tensor("op_2277_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor var_2277_end_mask_0 = const()[name = tensor("op_2277_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2277_cast_fp16 = slice_by_index(begin = var_2277_begin_0, end = var_2277_end_0, end_mask = var_2277_end_mask_0, x = output_341_cast_fp16)[name = tensor("op_2277_cast_fp16")]; - tensor var_2280_begin_0 = const()[name = tensor("op_2280_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2280_end_0 = const()[name = tensor("op_2280_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_2280_end_mask_0 = const()[name = tensor("op_2280_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2280_cast_fp16 = slice_by_index(begin = var_2280_begin_0, end = var_2280_end_0, end_mask = var_2280_end_mask_0, x = op_2277_cast_fp16)[name = tensor("op_2280_cast_fp16")]; - tensor output_345_begin_0 = const()[name = tensor("output_345_begin_0"), val = tensor([1, 0, 0, 0])]; - tensor output_345_end_0 = const()[name = tensor("output_345_end_0"), val = tensor([2, 1024, 24, 24])]; - tensor output_345_end_mask_0 = const()[name = tensor("output_345_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_345_cast_fp16 = slice_by_index(begin = output_345_begin_0, end = output_345_end_0, end_mask = output_345_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_345_cast_fp16")]; - tensor output_347_begin_0 = const()[name = tensor("output_347_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_347_end_0 = const()[name = tensor("output_347_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_347_end_mask_0 = const()[name = tensor("output_347_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_347_cast_fp16 = slice_by_index(begin = output_347_begin_0, end = output_347_end_0, end_mask = output_347_end_mask_0, x = output_345_cast_fp16)[name = tensor("output_347_cast_fp16")]; - tensor var_2290_begin_0 = const()[name = tensor("op_2290_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2290_end_0 = const()[name = tensor("op_2290_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_2290_end_mask_0 = const()[name = tensor("op_2290_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2290_cast_fp16 = slice_by_index(begin = var_2290_begin_0, end = var_2290_end_0, end_mask = var_2290_end_mask_0, x = output_347_cast_fp16)[name = tensor("op_2290_cast_fp16")]; - tensor var_2293_begin_0 = const()[name = tensor("op_2293_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2293_end_0 = const()[name = tensor("op_2293_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_2293_end_mask_0 = const()[name = tensor("op_2293_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2293_cast_fp16 = slice_by_index(begin = var_2293_begin_0, end = var_2293_end_0, end_mask = var_2293_end_mask_0, x = op_2290_cast_fp16)[name = tensor("op_2293_cast_fp16")]; - tensor output_351_begin_0 = const()[name = tensor("output_351_begin_0"), val = tensor([2, 0, 0, 0])]; - tensor output_351_end_0 = const()[name = tensor("output_351_end_0"), val = tensor([3, 1024, 24, 24])]; - tensor output_351_end_mask_0 = const()[name = tensor("output_351_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_351_cast_fp16 = slice_by_index(begin = output_351_begin_0, end = output_351_end_0, end_mask = output_351_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_351_cast_fp16")]; - tensor output_353_begin_0 = const()[name = tensor("output_353_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_353_end_0 = const()[name = tensor("output_353_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_353_end_mask_0 = const()[name = tensor("output_353_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_353_cast_fp16 = slice_by_index(begin = output_353_begin_0, end = output_353_end_0, end_mask = output_353_end_mask_0, x = output_351_cast_fp16)[name = tensor("output_353_cast_fp16")]; - tensor var_2303_begin_0 = const()[name = tensor("op_2303_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2303_end_0 = const()[name = tensor("op_2303_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_2303_end_mask_0 = const()[name = tensor("op_2303_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2303_cast_fp16 = slice_by_index(begin = var_2303_begin_0, end = var_2303_end_0, end_mask = var_2303_end_mask_0, x = output_353_cast_fp16)[name = tensor("op_2303_cast_fp16")]; - tensor var_2306_begin_0 = const()[name = tensor("op_2306_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2306_end_0 = const()[name = tensor("op_2306_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_2306_end_mask_0 = const()[name = tensor("op_2306_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2306_cast_fp16 = slice_by_index(begin = var_2306_begin_0, end = var_2306_end_0, end_mask = var_2306_end_mask_0, x = op_2303_cast_fp16)[name = tensor("op_2306_cast_fp16")]; - tensor output_357_begin_0 = const()[name = tensor("output_357_begin_0"), val = tensor([3, 0, 0, 0])]; - tensor output_357_end_0 = const()[name = tensor("output_357_end_0"), val = tensor([4, 1024, 24, 24])]; - tensor output_357_end_mask_0 = const()[name = tensor("output_357_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_357_cast_fp16 = slice_by_index(begin = output_357_begin_0, end = output_357_end_0, end_mask = output_357_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_357_cast_fp16")]; - tensor output_359_begin_0 = const()[name = tensor("output_359_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_359_end_0 = const()[name = tensor("output_359_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_359_end_mask_0 = const()[name = tensor("output_359_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_359_cast_fp16 = slice_by_index(begin = output_359_begin_0, end = output_359_end_0, end_mask = output_359_end_mask_0, x = output_357_cast_fp16)[name = tensor("output_359_cast_fp16")]; - tensor var_2316_begin_0 = const()[name = tensor("op_2316_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2316_end_0 = const()[name = tensor("op_2316_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_2316_end_mask_0 = const()[name = tensor("op_2316_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2316_cast_fp16 = slice_by_index(begin = var_2316_begin_0, end = var_2316_end_0, end_mask = var_2316_end_mask_0, x = output_359_cast_fp16)[name = tensor("op_2316_cast_fp16")]; - tensor var_2319_begin_0 = const()[name = tensor("op_2319_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2319_end_0 = const()[name = tensor("op_2319_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_2319_end_mask_0 = const()[name = tensor("op_2319_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2319_cast_fp16 = slice_by_index(begin = var_2319_begin_0, end = var_2319_end_0, end_mask = var_2319_end_mask_0, x = op_2316_cast_fp16)[name = tensor("op_2319_cast_fp16")]; - tensor output_363_begin_0 = const()[name = tensor("output_363_begin_0"), val = tensor([4, 0, 0, 0])]; - tensor output_363_end_0 = const()[name = tensor("output_363_end_0"), val = tensor([5, 1024, 24, 24])]; - tensor output_363_end_mask_0 = const()[name = tensor("output_363_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_363_cast_fp16 = slice_by_index(begin = output_363_begin_0, end = output_363_end_0, end_mask = output_363_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_363_cast_fp16")]; - tensor output_365_begin_0 = const()[name = tensor("output_365_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_365_end_0 = const()[name = tensor("output_365_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_365_end_mask_0 = const()[name = tensor("output_365_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_365_cast_fp16 = slice_by_index(begin = output_365_begin_0, end = output_365_end_0, end_mask = output_365_end_mask_0, x = output_363_cast_fp16)[name = tensor("output_365_cast_fp16")]; - tensor var_2329_begin_0 = const()[name = tensor("op_2329_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2329_end_0 = const()[name = tensor("op_2329_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_2329_end_mask_0 = const()[name = tensor("op_2329_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2329_cast_fp16 = slice_by_index(begin = var_2329_begin_0, end = var_2329_end_0, end_mask = var_2329_end_mask_0, x = output_365_cast_fp16)[name = tensor("op_2329_cast_fp16")]; - tensor var_2332_interleave_0 = const()[name = tensor("op_2332_interleave_0"), val = tensor(false)]; - tensor op_2332_cast_fp16 = concat(axis = var_34, interleave = var_2332_interleave_0, values = (op_2280_cast_fp16, op_2293_cast_fp16, op_2306_cast_fp16, op_2319_cast_fp16, op_2329_cast_fp16))[name = tensor("op_2332_cast_fp16")]; - tensor output_369_begin_0 = const()[name = tensor("output_369_begin_0"), val = tensor([5, 0, 0, 0])]; - tensor output_369_end_0 = const()[name = tensor("output_369_end_0"), val = tensor([6, 1024, 24, 24])]; - tensor output_369_end_mask_0 = const()[name = tensor("output_369_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_369_cast_fp16 = slice_by_index(begin = output_369_begin_0, end = output_369_end_0, end_mask = output_369_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_369_cast_fp16")]; - tensor var_2340_begin_0 = const()[name = tensor("op_2340_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2340_end_0 = const()[name = tensor("op_2340_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2340_end_mask_0 = const()[name = tensor("op_2340_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2340_cast_fp16 = slice_by_index(begin = var_2340_begin_0, end = var_2340_end_0, end_mask = var_2340_end_mask_0, x = output_369_cast_fp16)[name = tensor("op_2340_cast_fp16")]; - tensor var_2342_begin_0 = const()[name = tensor("op_2342_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2342_end_0 = const()[name = tensor("op_2342_end_0"), val = tensor([1, 1024, 18, 24])]; - tensor var_2342_end_mask_0 = const()[name = tensor("op_2342_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2342_cast_fp16 = slice_by_index(begin = var_2342_begin_0, end = var_2342_end_0, end_mask = var_2342_end_mask_0, x = op_2340_cast_fp16)[name = tensor("op_2342_cast_fp16")]; - tensor var_2345_begin_0 = const()[name = tensor("op_2345_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2345_end_0 = const()[name = tensor("op_2345_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2345_end_mask_0 = const()[name = tensor("op_2345_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2345_cast_fp16 = slice_by_index(begin = var_2345_begin_0, end = var_2345_end_0, end_mask = var_2345_end_mask_0, x = op_2342_cast_fp16)[name = tensor("op_2345_cast_fp16")]; - tensor output_375_begin_0 = const()[name = tensor("output_375_begin_0"), val = tensor([6, 0, 0, 0])]; - tensor output_375_end_0 = const()[name = tensor("output_375_end_0"), val = tensor([7, 1024, 24, 24])]; - tensor output_375_end_mask_0 = const()[name = tensor("output_375_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_375_cast_fp16 = slice_by_index(begin = output_375_begin_0, end = output_375_end_0, end_mask = output_375_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_375_cast_fp16")]; - tensor var_2353_begin_0 = const()[name = tensor("op_2353_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2353_end_0 = const()[name = tensor("op_2353_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2353_end_mask_0 = const()[name = tensor("op_2353_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2353_cast_fp16 = slice_by_index(begin = var_2353_begin_0, end = var_2353_end_0, end_mask = var_2353_end_mask_0, x = output_375_cast_fp16)[name = tensor("op_2353_cast_fp16")]; - tensor output_379_begin_0 = const()[name = tensor("output_379_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_379_end_0 = const()[name = tensor("output_379_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_379_end_mask_0 = const()[name = tensor("output_379_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_379_cast_fp16 = slice_by_index(begin = output_379_begin_0, end = output_379_end_0, end_mask = output_379_end_mask_0, x = op_2353_cast_fp16)[name = tensor("output_379_cast_fp16")]; - tensor var_2357_begin_0 = const()[name = tensor("op_2357_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2357_end_0 = const()[name = tensor("op_2357_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2357_end_mask_0 = const()[name = tensor("op_2357_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2357_cast_fp16 = slice_by_index(begin = var_2357_begin_0, end = var_2357_end_0, end_mask = var_2357_end_mask_0, x = output_379_cast_fp16)[name = tensor("op_2357_cast_fp16")]; - tensor var_2360_begin_0 = const()[name = tensor("op_2360_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2360_end_0 = const()[name = tensor("op_2360_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2360_end_mask_0 = const()[name = tensor("op_2360_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2360_cast_fp16 = slice_by_index(begin = var_2360_begin_0, end = var_2360_end_0, end_mask = var_2360_end_mask_0, x = op_2357_cast_fp16)[name = tensor("op_2360_cast_fp16")]; - tensor output_383_begin_0 = const()[name = tensor("output_383_begin_0"), val = tensor([7, 0, 0, 0])]; - tensor output_383_end_0 = const()[name = tensor("output_383_end_0"), val = tensor([8, 1024, 24, 24])]; - tensor output_383_end_mask_0 = const()[name = tensor("output_383_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_383_cast_fp16 = slice_by_index(begin = output_383_begin_0, end = output_383_end_0, end_mask = output_383_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_383_cast_fp16")]; - tensor var_2368_begin_0 = const()[name = tensor("op_2368_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2368_end_0 = const()[name = tensor("op_2368_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2368_end_mask_0 = const()[name = tensor("op_2368_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2368_cast_fp16 = slice_by_index(begin = var_2368_begin_0, end = var_2368_end_0, end_mask = var_2368_end_mask_0, x = output_383_cast_fp16)[name = tensor("op_2368_cast_fp16")]; - tensor output_387_begin_0 = const()[name = tensor("output_387_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_387_end_0 = const()[name = tensor("output_387_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_387_end_mask_0 = const()[name = tensor("output_387_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_387_cast_fp16 = slice_by_index(begin = output_387_begin_0, end = output_387_end_0, end_mask = output_387_end_mask_0, x = op_2368_cast_fp16)[name = tensor("output_387_cast_fp16")]; - tensor var_2372_begin_0 = const()[name = tensor("op_2372_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2372_end_0 = const()[name = tensor("op_2372_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2372_end_mask_0 = const()[name = tensor("op_2372_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2372_cast_fp16 = slice_by_index(begin = var_2372_begin_0, end = var_2372_end_0, end_mask = var_2372_end_mask_0, x = output_387_cast_fp16)[name = tensor("op_2372_cast_fp16")]; - tensor var_2375_begin_0 = const()[name = tensor("op_2375_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2375_end_0 = const()[name = tensor("op_2375_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2375_end_mask_0 = const()[name = tensor("op_2375_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2375_cast_fp16 = slice_by_index(begin = var_2375_begin_0, end = var_2375_end_0, end_mask = var_2375_end_mask_0, x = op_2372_cast_fp16)[name = tensor("op_2375_cast_fp16")]; - tensor output_391_begin_0 = const()[name = tensor("output_391_begin_0"), val = tensor([8, 0, 0, 0])]; - tensor output_391_end_0 = const()[name = tensor("output_391_end_0"), val = tensor([9, 1024, 24, 24])]; - tensor output_391_end_mask_0 = const()[name = tensor("output_391_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_391_cast_fp16 = slice_by_index(begin = output_391_begin_0, end = output_391_end_0, end_mask = output_391_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_391_cast_fp16")]; - tensor var_2383_begin_0 = const()[name = tensor("op_2383_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2383_end_0 = const()[name = tensor("op_2383_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2383_end_mask_0 = const()[name = tensor("op_2383_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2383_cast_fp16 = slice_by_index(begin = var_2383_begin_0, end = var_2383_end_0, end_mask = var_2383_end_mask_0, x = output_391_cast_fp16)[name = tensor("op_2383_cast_fp16")]; - tensor output_395_begin_0 = const()[name = tensor("output_395_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_395_end_0 = const()[name = tensor("output_395_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_395_end_mask_0 = const()[name = tensor("output_395_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_395_cast_fp16 = slice_by_index(begin = output_395_begin_0, end = output_395_end_0, end_mask = output_395_end_mask_0, x = op_2383_cast_fp16)[name = tensor("output_395_cast_fp16")]; - tensor var_2387_begin_0 = const()[name = tensor("op_2387_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2387_end_0 = const()[name = tensor("op_2387_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2387_end_mask_0 = const()[name = tensor("op_2387_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2387_cast_fp16 = slice_by_index(begin = var_2387_begin_0, end = var_2387_end_0, end_mask = var_2387_end_mask_0, x = output_395_cast_fp16)[name = tensor("op_2387_cast_fp16")]; - tensor var_2390_begin_0 = const()[name = tensor("op_2390_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2390_end_0 = const()[name = tensor("op_2390_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2390_end_mask_0 = const()[name = tensor("op_2390_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2390_cast_fp16 = slice_by_index(begin = var_2390_begin_0, end = var_2390_end_0, end_mask = var_2390_end_mask_0, x = op_2387_cast_fp16)[name = tensor("op_2390_cast_fp16")]; - tensor output_399_begin_0 = const()[name = tensor("output_399_begin_0"), val = tensor([9, 0, 0, 0])]; - tensor output_399_end_0 = const()[name = tensor("output_399_end_0"), val = tensor([10, 1024, 24, 24])]; - tensor output_399_end_mask_0 = const()[name = tensor("output_399_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_399_cast_fp16 = slice_by_index(begin = output_399_begin_0, end = output_399_end_0, end_mask = output_399_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_399_cast_fp16")]; - tensor var_2398_begin_0 = const()[name = tensor("op_2398_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2398_end_0 = const()[name = tensor("op_2398_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2398_end_mask_0 = const()[name = tensor("op_2398_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2398_cast_fp16 = slice_by_index(begin = var_2398_begin_0, end = var_2398_end_0, end_mask = var_2398_end_mask_0, x = output_399_cast_fp16)[name = tensor("op_2398_cast_fp16")]; - tensor output_403_begin_0 = const()[name = tensor("output_403_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_403_end_0 = const()[name = tensor("output_403_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_403_end_mask_0 = const()[name = tensor("output_403_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_403_cast_fp16 = slice_by_index(begin = output_403_begin_0, end = output_403_end_0, end_mask = output_403_end_mask_0, x = op_2398_cast_fp16)[name = tensor("output_403_cast_fp16")]; - tensor var_2402_begin_0 = const()[name = tensor("op_2402_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2402_end_0 = const()[name = tensor("op_2402_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2402_end_mask_0 = const()[name = tensor("op_2402_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2402_cast_fp16 = slice_by_index(begin = var_2402_begin_0, end = var_2402_end_0, end_mask = var_2402_end_mask_0, x = output_403_cast_fp16)[name = tensor("op_2402_cast_fp16")]; - tensor var_2405_interleave_0 = const()[name = tensor("op_2405_interleave_0"), val = tensor(false)]; - tensor op_2405_cast_fp16 = concat(axis = var_34, interleave = var_2405_interleave_0, values = (op_2345_cast_fp16, op_2360_cast_fp16, op_2375_cast_fp16, op_2390_cast_fp16, op_2402_cast_fp16))[name = tensor("op_2405_cast_fp16")]; - tensor output_407_begin_0 = const()[name = tensor("output_407_begin_0"), val = tensor([10, 0, 0, 0])]; - tensor output_407_end_0 = const()[name = tensor("output_407_end_0"), val = tensor([11, 1024, 24, 24])]; - tensor output_407_end_mask_0 = const()[name = tensor("output_407_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_407_cast_fp16 = slice_by_index(begin = output_407_begin_0, end = output_407_end_0, end_mask = output_407_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_407_cast_fp16")]; - tensor var_2413_begin_0 = const()[name = tensor("op_2413_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2413_end_0 = const()[name = tensor("op_2413_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2413_end_mask_0 = const()[name = tensor("op_2413_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2413_cast_fp16 = slice_by_index(begin = var_2413_begin_0, end = var_2413_end_0, end_mask = var_2413_end_mask_0, x = output_407_cast_fp16)[name = tensor("op_2413_cast_fp16")]; - tensor var_2415_begin_0 = const()[name = tensor("op_2415_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2415_end_0 = const()[name = tensor("op_2415_end_0"), val = tensor([1, 1024, 18, 24])]; - tensor var_2415_end_mask_0 = const()[name = tensor("op_2415_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2415_cast_fp16 = slice_by_index(begin = var_2415_begin_0, end = var_2415_end_0, end_mask = var_2415_end_mask_0, x = op_2413_cast_fp16)[name = tensor("op_2415_cast_fp16")]; - tensor var_2418_begin_0 = const()[name = tensor("op_2418_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2418_end_0 = const()[name = tensor("op_2418_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2418_end_mask_0 = const()[name = tensor("op_2418_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2418_cast_fp16 = slice_by_index(begin = var_2418_begin_0, end = var_2418_end_0, end_mask = var_2418_end_mask_0, x = op_2415_cast_fp16)[name = tensor("op_2418_cast_fp16")]; - tensor output_413_begin_0 = const()[name = tensor("output_413_begin_0"), val = tensor([11, 0, 0, 0])]; - tensor output_413_end_0 = const()[name = tensor("output_413_end_0"), val = tensor([12, 1024, 24, 24])]; - tensor output_413_end_mask_0 = const()[name = tensor("output_413_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_413_cast_fp16 = slice_by_index(begin = output_413_begin_0, end = output_413_end_0, end_mask = output_413_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_413_cast_fp16")]; - tensor var_2426_begin_0 = const()[name = tensor("op_2426_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2426_end_0 = const()[name = tensor("op_2426_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2426_end_mask_0 = const()[name = tensor("op_2426_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2426_cast_fp16 = slice_by_index(begin = var_2426_begin_0, end = var_2426_end_0, end_mask = var_2426_end_mask_0, x = output_413_cast_fp16)[name = tensor("op_2426_cast_fp16")]; - tensor output_417_begin_0 = const()[name = tensor("output_417_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_417_end_0 = const()[name = tensor("output_417_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_417_end_mask_0 = const()[name = tensor("output_417_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_417_cast_fp16 = slice_by_index(begin = output_417_begin_0, end = output_417_end_0, end_mask = output_417_end_mask_0, x = op_2426_cast_fp16)[name = tensor("output_417_cast_fp16")]; - tensor var_2430_begin_0 = const()[name = tensor("op_2430_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2430_end_0 = const()[name = tensor("op_2430_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2430_end_mask_0 = const()[name = tensor("op_2430_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2430_cast_fp16 = slice_by_index(begin = var_2430_begin_0, end = var_2430_end_0, end_mask = var_2430_end_mask_0, x = output_417_cast_fp16)[name = tensor("op_2430_cast_fp16")]; - tensor var_2433_begin_0 = const()[name = tensor("op_2433_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2433_end_0 = const()[name = tensor("op_2433_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2433_end_mask_0 = const()[name = tensor("op_2433_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2433_cast_fp16 = slice_by_index(begin = var_2433_begin_0, end = var_2433_end_0, end_mask = var_2433_end_mask_0, x = op_2430_cast_fp16)[name = tensor("op_2433_cast_fp16")]; - tensor output_421_begin_0 = const()[name = tensor("output_421_begin_0"), val = tensor([12, 0, 0, 0])]; - tensor output_421_end_0 = const()[name = tensor("output_421_end_0"), val = tensor([13, 1024, 24, 24])]; - tensor output_421_end_mask_0 = const()[name = tensor("output_421_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_421_cast_fp16 = slice_by_index(begin = output_421_begin_0, end = output_421_end_0, end_mask = output_421_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_421_cast_fp16")]; - tensor var_2441_begin_0 = const()[name = tensor("op_2441_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2441_end_0 = const()[name = tensor("op_2441_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2441_end_mask_0 = const()[name = tensor("op_2441_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2441_cast_fp16 = slice_by_index(begin = var_2441_begin_0, end = var_2441_end_0, end_mask = var_2441_end_mask_0, x = output_421_cast_fp16)[name = tensor("op_2441_cast_fp16")]; - tensor output_425_begin_0 = const()[name = tensor("output_425_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_425_end_0 = const()[name = tensor("output_425_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_425_end_mask_0 = const()[name = tensor("output_425_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_425_cast_fp16 = slice_by_index(begin = output_425_begin_0, end = output_425_end_0, end_mask = output_425_end_mask_0, x = op_2441_cast_fp16)[name = tensor("output_425_cast_fp16")]; - tensor var_2445_begin_0 = const()[name = tensor("op_2445_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2445_end_0 = const()[name = tensor("op_2445_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2445_end_mask_0 = const()[name = tensor("op_2445_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2445_cast_fp16 = slice_by_index(begin = var_2445_begin_0, end = var_2445_end_0, end_mask = var_2445_end_mask_0, x = output_425_cast_fp16)[name = tensor("op_2445_cast_fp16")]; - tensor var_2448_begin_0 = const()[name = tensor("op_2448_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2448_end_0 = const()[name = tensor("op_2448_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2448_end_mask_0 = const()[name = tensor("op_2448_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2448_cast_fp16 = slice_by_index(begin = var_2448_begin_0, end = var_2448_end_0, end_mask = var_2448_end_mask_0, x = op_2445_cast_fp16)[name = tensor("op_2448_cast_fp16")]; - tensor output_429_begin_0 = const()[name = tensor("output_429_begin_0"), val = tensor([13, 0, 0, 0])]; - tensor output_429_end_0 = const()[name = tensor("output_429_end_0"), val = tensor([14, 1024, 24, 24])]; - tensor output_429_end_mask_0 = const()[name = tensor("output_429_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_429_cast_fp16 = slice_by_index(begin = output_429_begin_0, end = output_429_end_0, end_mask = output_429_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_429_cast_fp16")]; - tensor var_2456_begin_0 = const()[name = tensor("op_2456_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2456_end_0 = const()[name = tensor("op_2456_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2456_end_mask_0 = const()[name = tensor("op_2456_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2456_cast_fp16 = slice_by_index(begin = var_2456_begin_0, end = var_2456_end_0, end_mask = var_2456_end_mask_0, x = output_429_cast_fp16)[name = tensor("op_2456_cast_fp16")]; - tensor output_433_begin_0 = const()[name = tensor("output_433_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_433_end_0 = const()[name = tensor("output_433_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_433_end_mask_0 = const()[name = tensor("output_433_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_433_cast_fp16 = slice_by_index(begin = output_433_begin_0, end = output_433_end_0, end_mask = output_433_end_mask_0, x = op_2456_cast_fp16)[name = tensor("output_433_cast_fp16")]; - tensor var_2460_begin_0 = const()[name = tensor("op_2460_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2460_end_0 = const()[name = tensor("op_2460_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2460_end_mask_0 = const()[name = tensor("op_2460_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2460_cast_fp16 = slice_by_index(begin = var_2460_begin_0, end = var_2460_end_0, end_mask = var_2460_end_mask_0, x = output_433_cast_fp16)[name = tensor("op_2460_cast_fp16")]; - tensor var_2463_begin_0 = const()[name = tensor("op_2463_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2463_end_0 = const()[name = tensor("op_2463_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2463_end_mask_0 = const()[name = tensor("op_2463_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2463_cast_fp16 = slice_by_index(begin = var_2463_begin_0, end = var_2463_end_0, end_mask = var_2463_end_mask_0, x = op_2460_cast_fp16)[name = tensor("op_2463_cast_fp16")]; - tensor output_437_begin_0 = const()[name = tensor("output_437_begin_0"), val = tensor([14, 0, 0, 0])]; - tensor output_437_end_0 = const()[name = tensor("output_437_end_0"), val = tensor([15, 1024, 24, 24])]; - tensor output_437_end_mask_0 = const()[name = tensor("output_437_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_437_cast_fp16 = slice_by_index(begin = output_437_begin_0, end = output_437_end_0, end_mask = output_437_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_437_cast_fp16")]; - tensor var_2471_begin_0 = const()[name = tensor("op_2471_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2471_end_0 = const()[name = tensor("op_2471_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2471_end_mask_0 = const()[name = tensor("op_2471_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2471_cast_fp16 = slice_by_index(begin = var_2471_begin_0, end = var_2471_end_0, end_mask = var_2471_end_mask_0, x = output_437_cast_fp16)[name = tensor("op_2471_cast_fp16")]; - tensor output_441_begin_0 = const()[name = tensor("output_441_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_441_end_0 = const()[name = tensor("output_441_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_441_end_mask_0 = const()[name = tensor("output_441_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_441_cast_fp16 = slice_by_index(begin = output_441_begin_0, end = output_441_end_0, end_mask = output_441_end_mask_0, x = op_2471_cast_fp16)[name = tensor("output_441_cast_fp16")]; - tensor var_2475_begin_0 = const()[name = tensor("op_2475_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2475_end_0 = const()[name = tensor("op_2475_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2475_end_mask_0 = const()[name = tensor("op_2475_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2475_cast_fp16 = slice_by_index(begin = var_2475_begin_0, end = var_2475_end_0, end_mask = var_2475_end_mask_0, x = output_441_cast_fp16)[name = tensor("op_2475_cast_fp16")]; - tensor var_2478_interleave_0 = const()[name = tensor("op_2478_interleave_0"), val = tensor(false)]; - tensor op_2478_cast_fp16 = concat(axis = var_34, interleave = var_2478_interleave_0, values = (op_2418_cast_fp16, op_2433_cast_fp16, op_2448_cast_fp16, op_2463_cast_fp16, op_2475_cast_fp16))[name = tensor("op_2478_cast_fp16")]; - tensor output_445_begin_0 = const()[name = tensor("output_445_begin_0"), val = tensor([15, 0, 0, 0])]; - tensor output_445_end_0 = const()[name = tensor("output_445_end_0"), val = tensor([16, 1024, 24, 24])]; - tensor output_445_end_mask_0 = const()[name = tensor("output_445_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_445_cast_fp16 = slice_by_index(begin = output_445_begin_0, end = output_445_end_0, end_mask = output_445_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_445_cast_fp16")]; - tensor var_2486_begin_0 = const()[name = tensor("op_2486_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2486_end_0 = const()[name = tensor("op_2486_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2486_end_mask_0 = const()[name = tensor("op_2486_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2486_cast_fp16 = slice_by_index(begin = var_2486_begin_0, end = var_2486_end_0, end_mask = var_2486_end_mask_0, x = output_445_cast_fp16)[name = tensor("op_2486_cast_fp16")]; - tensor var_2488_begin_0 = const()[name = tensor("op_2488_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2488_end_0 = const()[name = tensor("op_2488_end_0"), val = tensor([1, 1024, 18, 24])]; - tensor var_2488_end_mask_0 = const()[name = tensor("op_2488_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2488_cast_fp16 = slice_by_index(begin = var_2488_begin_0, end = var_2488_end_0, end_mask = var_2488_end_mask_0, x = op_2486_cast_fp16)[name = tensor("op_2488_cast_fp16")]; - tensor var_2491_begin_0 = const()[name = tensor("op_2491_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2491_end_0 = const()[name = tensor("op_2491_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2491_end_mask_0 = const()[name = tensor("op_2491_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2491_cast_fp16 = slice_by_index(begin = var_2491_begin_0, end = var_2491_end_0, end_mask = var_2491_end_mask_0, x = op_2488_cast_fp16)[name = tensor("op_2491_cast_fp16")]; - tensor output_451_begin_0 = const()[name = tensor("output_451_begin_0"), val = tensor([16, 0, 0, 0])]; - tensor output_451_end_0 = const()[name = tensor("output_451_end_0"), val = tensor([17, 1024, 24, 24])]; - tensor output_451_end_mask_0 = const()[name = tensor("output_451_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_451_cast_fp16 = slice_by_index(begin = output_451_begin_0, end = output_451_end_0, end_mask = output_451_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_451_cast_fp16")]; - tensor var_2499_begin_0 = const()[name = tensor("op_2499_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2499_end_0 = const()[name = tensor("op_2499_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2499_end_mask_0 = const()[name = tensor("op_2499_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2499_cast_fp16 = slice_by_index(begin = var_2499_begin_0, end = var_2499_end_0, end_mask = var_2499_end_mask_0, x = output_451_cast_fp16)[name = tensor("op_2499_cast_fp16")]; - tensor output_455_begin_0 = const()[name = tensor("output_455_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_455_end_0 = const()[name = tensor("output_455_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_455_end_mask_0 = const()[name = tensor("output_455_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_455_cast_fp16 = slice_by_index(begin = output_455_begin_0, end = output_455_end_0, end_mask = output_455_end_mask_0, x = op_2499_cast_fp16)[name = tensor("output_455_cast_fp16")]; - tensor var_2503_begin_0 = const()[name = tensor("op_2503_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2503_end_0 = const()[name = tensor("op_2503_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2503_end_mask_0 = const()[name = tensor("op_2503_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2503_cast_fp16 = slice_by_index(begin = var_2503_begin_0, end = var_2503_end_0, end_mask = var_2503_end_mask_0, x = output_455_cast_fp16)[name = tensor("op_2503_cast_fp16")]; - tensor var_2506_begin_0 = const()[name = tensor("op_2506_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2506_end_0 = const()[name = tensor("op_2506_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2506_end_mask_0 = const()[name = tensor("op_2506_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2506_cast_fp16 = slice_by_index(begin = var_2506_begin_0, end = var_2506_end_0, end_mask = var_2506_end_mask_0, x = op_2503_cast_fp16)[name = tensor("op_2506_cast_fp16")]; - tensor output_459_begin_0 = const()[name = tensor("output_459_begin_0"), val = tensor([17, 0, 0, 0])]; - tensor output_459_end_0 = const()[name = tensor("output_459_end_0"), val = tensor([18, 1024, 24, 24])]; - tensor output_459_end_mask_0 = const()[name = tensor("output_459_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_459_cast_fp16 = slice_by_index(begin = output_459_begin_0, end = output_459_end_0, end_mask = output_459_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_459_cast_fp16")]; - tensor var_2514_begin_0 = const()[name = tensor("op_2514_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2514_end_0 = const()[name = tensor("op_2514_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2514_end_mask_0 = const()[name = tensor("op_2514_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2514_cast_fp16 = slice_by_index(begin = var_2514_begin_0, end = var_2514_end_0, end_mask = var_2514_end_mask_0, x = output_459_cast_fp16)[name = tensor("op_2514_cast_fp16")]; - tensor output_463_begin_0 = const()[name = tensor("output_463_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_463_end_0 = const()[name = tensor("output_463_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_463_end_mask_0 = const()[name = tensor("output_463_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_463_cast_fp16 = slice_by_index(begin = output_463_begin_0, end = output_463_end_0, end_mask = output_463_end_mask_0, x = op_2514_cast_fp16)[name = tensor("output_463_cast_fp16")]; - tensor var_2518_begin_0 = const()[name = tensor("op_2518_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2518_end_0 = const()[name = tensor("op_2518_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2518_end_mask_0 = const()[name = tensor("op_2518_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2518_cast_fp16 = slice_by_index(begin = var_2518_begin_0, end = var_2518_end_0, end_mask = var_2518_end_mask_0, x = output_463_cast_fp16)[name = tensor("op_2518_cast_fp16")]; - tensor var_2521_begin_0 = const()[name = tensor("op_2521_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2521_end_0 = const()[name = tensor("op_2521_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2521_end_mask_0 = const()[name = tensor("op_2521_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2521_cast_fp16 = slice_by_index(begin = var_2521_begin_0, end = var_2521_end_0, end_mask = var_2521_end_mask_0, x = op_2518_cast_fp16)[name = tensor("op_2521_cast_fp16")]; - tensor output_467_begin_0 = const()[name = tensor("output_467_begin_0"), val = tensor([18, 0, 0, 0])]; - tensor output_467_end_0 = const()[name = tensor("output_467_end_0"), val = tensor([19, 1024, 24, 24])]; - tensor output_467_end_mask_0 = const()[name = tensor("output_467_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_467_cast_fp16 = slice_by_index(begin = output_467_begin_0, end = output_467_end_0, end_mask = output_467_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_467_cast_fp16")]; - tensor var_2529_begin_0 = const()[name = tensor("op_2529_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2529_end_0 = const()[name = tensor("op_2529_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2529_end_mask_0 = const()[name = tensor("op_2529_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2529_cast_fp16 = slice_by_index(begin = var_2529_begin_0, end = var_2529_end_0, end_mask = var_2529_end_mask_0, x = output_467_cast_fp16)[name = tensor("op_2529_cast_fp16")]; - tensor output_471_begin_0 = const()[name = tensor("output_471_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_471_end_0 = const()[name = tensor("output_471_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_471_end_mask_0 = const()[name = tensor("output_471_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_471_cast_fp16 = slice_by_index(begin = output_471_begin_0, end = output_471_end_0, end_mask = output_471_end_mask_0, x = op_2529_cast_fp16)[name = tensor("output_471_cast_fp16")]; - tensor var_2533_begin_0 = const()[name = tensor("op_2533_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2533_end_0 = const()[name = tensor("op_2533_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2533_end_mask_0 = const()[name = tensor("op_2533_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2533_cast_fp16 = slice_by_index(begin = var_2533_begin_0, end = var_2533_end_0, end_mask = var_2533_end_mask_0, x = output_471_cast_fp16)[name = tensor("op_2533_cast_fp16")]; - tensor var_2536_begin_0 = const()[name = tensor("op_2536_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2536_end_0 = const()[name = tensor("op_2536_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2536_end_mask_0 = const()[name = tensor("op_2536_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2536_cast_fp16 = slice_by_index(begin = var_2536_begin_0, end = var_2536_end_0, end_mask = var_2536_end_mask_0, x = op_2533_cast_fp16)[name = tensor("op_2536_cast_fp16")]; - tensor output_475_begin_0 = const()[name = tensor("output_475_begin_0"), val = tensor([19, 0, 0, 0])]; - tensor output_475_end_0 = const()[name = tensor("output_475_end_0"), val = tensor([20, 1024, 24, 24])]; - tensor output_475_end_mask_0 = const()[name = tensor("output_475_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_475_cast_fp16 = slice_by_index(begin = output_475_begin_0, end = output_475_end_0, end_mask = output_475_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_475_cast_fp16")]; - tensor var_2544_begin_0 = const()[name = tensor("op_2544_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2544_end_0 = const()[name = tensor("op_2544_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2544_end_mask_0 = const()[name = tensor("op_2544_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2544_cast_fp16 = slice_by_index(begin = var_2544_begin_0, end = var_2544_end_0, end_mask = var_2544_end_mask_0, x = output_475_cast_fp16)[name = tensor("op_2544_cast_fp16")]; - tensor output_479_begin_0 = const()[name = tensor("output_479_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_479_end_0 = const()[name = tensor("output_479_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_479_end_mask_0 = const()[name = tensor("output_479_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_479_cast_fp16 = slice_by_index(begin = output_479_begin_0, end = output_479_end_0, end_mask = output_479_end_mask_0, x = op_2544_cast_fp16)[name = tensor("output_479_cast_fp16")]; - tensor var_2548_begin_0 = const()[name = tensor("op_2548_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2548_end_0 = const()[name = tensor("op_2548_end_0"), val = tensor([1, 1024, 18, 21])]; - tensor var_2548_end_mask_0 = const()[name = tensor("op_2548_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2548_cast_fp16 = slice_by_index(begin = var_2548_begin_0, end = var_2548_end_0, end_mask = var_2548_end_mask_0, x = output_479_cast_fp16)[name = tensor("op_2548_cast_fp16")]; - tensor var_2551_interleave_0 = const()[name = tensor("op_2551_interleave_0"), val = tensor(false)]; - tensor op_2551_cast_fp16 = concat(axis = var_34, interleave = var_2551_interleave_0, values = (op_2491_cast_fp16, op_2506_cast_fp16, op_2521_cast_fp16, op_2536_cast_fp16, op_2548_cast_fp16))[name = tensor("op_2551_cast_fp16")]; - tensor output_483_begin_0 = const()[name = tensor("output_483_begin_0"), val = tensor([20, 0, 0, 0])]; - tensor output_483_end_0 = const()[name = tensor("output_483_end_0"), val = tensor([21, 1024, 24, 24])]; - tensor output_483_end_mask_0 = const()[name = tensor("output_483_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_483_cast_fp16 = slice_by_index(begin = output_483_begin_0, end = output_483_end_0, end_mask = output_483_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_483_cast_fp16")]; - tensor var_2559_begin_0 = const()[name = tensor("op_2559_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2559_end_0 = const()[name = tensor("op_2559_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2559_end_mask_0 = const()[name = tensor("op_2559_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2559_cast_fp16 = slice_by_index(begin = var_2559_begin_0, end = var_2559_end_0, end_mask = var_2559_end_mask_0, x = output_483_cast_fp16)[name = tensor("op_2559_cast_fp16")]; - tensor var_2562_begin_0 = const()[name = tensor("op_2562_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2562_end_0 = const()[name = tensor("op_2562_end_0"), val = tensor([1, 1024, 21, 21])]; - tensor var_2562_end_mask_0 = const()[name = tensor("op_2562_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2562_cast_fp16 = slice_by_index(begin = var_2562_begin_0, end = var_2562_end_0, end_mask = var_2562_end_mask_0, x = op_2559_cast_fp16)[name = tensor("op_2562_cast_fp16")]; - tensor output_487_begin_0 = const()[name = tensor("output_487_begin_0"), val = tensor([21, 0, 0, 0])]; - tensor output_487_end_0 = const()[name = tensor("output_487_end_0"), val = tensor([22, 1024, 24, 24])]; - tensor output_487_end_mask_0 = const()[name = tensor("output_487_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_487_cast_fp16 = slice_by_index(begin = output_487_begin_0, end = output_487_end_0, end_mask = output_487_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_487_cast_fp16")]; - tensor var_2570_begin_0 = const()[name = tensor("op_2570_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2570_end_0 = const()[name = tensor("op_2570_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2570_end_mask_0 = const()[name = tensor("op_2570_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2570_cast_fp16 = slice_by_index(begin = var_2570_begin_0, end = var_2570_end_0, end_mask = var_2570_end_mask_0, x = output_487_cast_fp16)[name = tensor("op_2570_cast_fp16")]; - tensor output_491_begin_0 = const()[name = tensor("output_491_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_491_end_0 = const()[name = tensor("output_491_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_491_end_mask_0 = const()[name = tensor("output_491_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_491_cast_fp16 = slice_by_index(begin = output_491_begin_0, end = output_491_end_0, end_mask = output_491_end_mask_0, x = op_2570_cast_fp16)[name = tensor("output_491_cast_fp16")]; - tensor var_2575_begin_0 = const()[name = tensor("op_2575_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2575_end_0 = const()[name = tensor("op_2575_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_2575_end_mask_0 = const()[name = tensor("op_2575_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2575_cast_fp16 = slice_by_index(begin = var_2575_begin_0, end = var_2575_end_0, end_mask = var_2575_end_mask_0, x = output_491_cast_fp16)[name = tensor("op_2575_cast_fp16")]; - tensor output_493_begin_0 = const()[name = tensor("output_493_begin_0"), val = tensor([22, 0, 0, 0])]; - tensor output_493_end_0 = const()[name = tensor("output_493_end_0"), val = tensor([23, 1024, 24, 24])]; - tensor output_493_end_mask_0 = const()[name = tensor("output_493_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_493_cast_fp16 = slice_by_index(begin = output_493_begin_0, end = output_493_end_0, end_mask = output_493_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_493_cast_fp16")]; - tensor var_2583_begin_0 = const()[name = tensor("op_2583_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2583_end_0 = const()[name = tensor("op_2583_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2583_end_mask_0 = const()[name = tensor("op_2583_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2583_cast_fp16 = slice_by_index(begin = var_2583_begin_0, end = var_2583_end_0, end_mask = var_2583_end_mask_0, x = output_493_cast_fp16)[name = tensor("op_2583_cast_fp16")]; - tensor output_497_begin_0 = const()[name = tensor("output_497_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_497_end_0 = const()[name = tensor("output_497_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_497_end_mask_0 = const()[name = tensor("output_497_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_497_cast_fp16 = slice_by_index(begin = output_497_begin_0, end = output_497_end_0, end_mask = output_497_end_mask_0, x = op_2583_cast_fp16)[name = tensor("output_497_cast_fp16")]; - tensor var_2588_begin_0 = const()[name = tensor("op_2588_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2588_end_0 = const()[name = tensor("op_2588_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_2588_end_mask_0 = const()[name = tensor("op_2588_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2588_cast_fp16 = slice_by_index(begin = var_2588_begin_0, end = var_2588_end_0, end_mask = var_2588_end_mask_0, x = output_497_cast_fp16)[name = tensor("op_2588_cast_fp16")]; - tensor output_499_begin_0 = const()[name = tensor("output_499_begin_0"), val = tensor([23, 0, 0, 0])]; - tensor output_499_end_0 = const()[name = tensor("output_499_end_0"), val = tensor([24, 1024, 24, 24])]; - tensor output_499_end_mask_0 = const()[name = tensor("output_499_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_499_cast_fp16 = slice_by_index(begin = output_499_begin_0, end = output_499_end_0, end_mask = output_499_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_499_cast_fp16")]; - tensor var_2596_begin_0 = const()[name = tensor("op_2596_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2596_end_0 = const()[name = tensor("op_2596_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2596_end_mask_0 = const()[name = tensor("op_2596_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2596_cast_fp16 = slice_by_index(begin = var_2596_begin_0, end = var_2596_end_0, end_mask = var_2596_end_mask_0, x = output_499_cast_fp16)[name = tensor("op_2596_cast_fp16")]; - tensor output_503_begin_0 = const()[name = tensor("output_503_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_503_end_0 = const()[name = tensor("output_503_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_503_end_mask_0 = const()[name = tensor("output_503_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_503_cast_fp16 = slice_by_index(begin = output_503_begin_0, end = output_503_end_0, end_mask = output_503_end_mask_0, x = op_2596_cast_fp16)[name = tensor("output_503_cast_fp16")]; - tensor var_2601_begin_0 = const()[name = tensor("op_2601_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2601_end_0 = const()[name = tensor("op_2601_end_0"), val = tensor([1, 1024, 21, 18])]; - tensor var_2601_end_mask_0 = const()[name = tensor("op_2601_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2601_cast_fp16 = slice_by_index(begin = var_2601_begin_0, end = var_2601_end_0, end_mask = var_2601_end_mask_0, x = output_503_cast_fp16)[name = tensor("op_2601_cast_fp16")]; - tensor output_505_begin_0 = const()[name = tensor("output_505_begin_0"), val = tensor([24, 0, 0, 0])]; - tensor output_505_end_0 = const()[name = tensor("output_505_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_505_end_mask_0 = const()[name = tensor("output_505_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_505_cast_fp16 = slice_by_index(begin = output_505_begin_0, end = output_505_end_0, end_mask = output_505_end_mask_0, x = op_2266_cast_fp16_0)[name = tensor("output_505_cast_fp16")]; - tensor var_2609_begin_0 = const()[name = tensor("op_2609_begin_0"), val = tensor([0, 0, 3, 0])]; - tensor var_2609_end_0 = const()[name = tensor("op_2609_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2609_end_mask_0 = const()[name = tensor("op_2609_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2609_cast_fp16 = slice_by_index(begin = var_2609_begin_0, end = var_2609_end_0, end_mask = var_2609_end_mask_0, x = output_505_cast_fp16)[name = tensor("op_2609_cast_fp16")]; - tensor output_509_begin_0 = const()[name = tensor("output_509_begin_0"), val = tensor([0, 0, 0, 3])]; - tensor output_509_end_0 = const()[name = tensor("output_509_end_0"), val = tensor([1, 1024, 21, 24])]; - tensor output_509_end_mask_0 = const()[name = tensor("output_509_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_509_cast_fp16 = slice_by_index(begin = output_509_begin_0, end = output_509_end_0, end_mask = output_509_end_mask_0, x = op_2609_cast_fp16)[name = tensor("output_509_cast_fp16")]; - tensor output_row_5_interleave_0 = const()[name = tensor("output_row_5_interleave_0"), val = tensor(false)]; - tensor output_row_5_cast_fp16 = concat(axis = var_34, interleave = output_row_5_interleave_0, values = (op_2562_cast_fp16, op_2575_cast_fp16, op_2588_cast_fp16, op_2601_cast_fp16, output_509_cast_fp16))[name = tensor("output_row_5_cast_fp16")]; - tensor input_887_interleave_0 = const()[name = tensor("input_887_interleave_0"), val = tensor(false)]; - tensor input_887_cast_fp16 = concat(axis = var_36, interleave = input_887_interleave_0, values = (op_2332_cast_fp16, op_2405_cast_fp16, op_2478_cast_fp16, op_2551_cast_fp16, output_row_5_cast_fp16))[name = tensor("input_887_cast_fp16")]; - tensor output_511_begin_0 = const()[name = tensor("output_511_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor output_511_end_0 = const()[name = tensor("output_511_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_511_end_mask_0 = const()[name = tensor("output_511_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_511_cast_fp16 = slice_by_index(begin = output_511_begin_0, end = output_511_end_0, end_mask = output_511_end_mask_0, x = op_2266_cast_fp16_1)[name = tensor("output_511_cast_fp16")]; - tensor var_2624_begin_0 = const()[name = tensor("op_2624_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2624_end_0 = const()[name = tensor("op_2624_end_0"), val = tensor([1, 1024, 18, 24])]; - tensor var_2624_end_mask_0 = const()[name = tensor("op_2624_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2624_cast_fp16 = slice_by_index(begin = var_2624_begin_0, end = var_2624_end_0, end_mask = var_2624_end_mask_0, x = output_511_cast_fp16)[name = tensor("op_2624_cast_fp16")]; - tensor var_2627_begin_0 = const()[name = tensor("op_2627_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2627_end_0 = const()[name = tensor("op_2627_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2627_end_mask_0 = const()[name = tensor("op_2627_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2627_cast_fp16 = slice_by_index(begin = var_2627_begin_0, end = var_2627_end_0, end_mask = var_2627_end_mask_0, x = op_2624_cast_fp16)[name = tensor("op_2627_cast_fp16")]; - tensor output_515_begin_0 = const()[name = tensor("output_515_begin_0"), val = tensor([1, 0, 0, 0])]; - tensor output_515_end_0 = const()[name = tensor("output_515_end_0"), val = tensor([2, 1024, 24, 24])]; - tensor output_515_end_mask_0 = const()[name = tensor("output_515_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_515_cast_fp16 = slice_by_index(begin = output_515_begin_0, end = output_515_end_0, end_mask = output_515_end_mask_0, x = op_2266_cast_fp16_1)[name = tensor("output_515_cast_fp16")]; - tensor output_517_begin_0 = const()[name = tensor("output_517_begin_0"), val = tensor([0, 0, 0, 6])]; - tensor output_517_end_0 = const()[name = tensor("output_517_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_517_end_mask_0 = const()[name = tensor("output_517_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_517_cast_fp16 = slice_by_index(begin = output_517_begin_0, end = output_517_end_0, end_mask = output_517_end_mask_0, x = output_515_cast_fp16)[name = tensor("output_517_cast_fp16")]; - tensor var_2637_begin_0 = const()[name = tensor("op_2637_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2637_end_0 = const()[name = tensor("op_2637_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2637_end_mask_0 = const()[name = tensor("op_2637_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2637_cast_fp16 = slice_by_index(begin = var_2637_begin_0, end = var_2637_end_0, end_mask = var_2637_end_mask_0, x = output_517_cast_fp16)[name = tensor("op_2637_cast_fp16")]; - tensor var_2640_begin_0 = const()[name = tensor("op_2640_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2640_end_0 = const()[name = tensor("op_2640_end_0"), val = tensor([1, 1024, 18, 12])]; - tensor var_2640_end_mask_0 = const()[name = tensor("op_2640_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2640_cast_fp16 = slice_by_index(begin = var_2640_begin_0, end = var_2640_end_0, end_mask = var_2640_end_mask_0, x = op_2637_cast_fp16)[name = tensor("op_2640_cast_fp16")]; - tensor output_521_begin_0 = const()[name = tensor("output_521_begin_0"), val = tensor([2, 0, 0, 0])]; - tensor output_521_end_0 = const()[name = tensor("output_521_end_0"), val = tensor([3, 1024, 24, 24])]; - tensor output_521_end_mask_0 = const()[name = tensor("output_521_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_521_cast_fp16 = slice_by_index(begin = output_521_begin_0, end = output_521_end_0, end_mask = output_521_end_mask_0, x = op_2266_cast_fp16_1)[name = tensor("output_521_cast_fp16")]; - tensor output_523_begin_0 = const()[name = tensor("output_523_begin_0"), val = tensor([0, 0, 0, 6])]; - tensor output_523_end_0 = const()[name = tensor("output_523_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_523_end_mask_0 = const()[name = tensor("output_523_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_523_cast_fp16 = slice_by_index(begin = output_523_begin_0, end = output_523_end_0, end_mask = output_523_end_mask_0, x = output_521_cast_fp16)[name = tensor("output_523_cast_fp16")]; - tensor var_2650_begin_0 = const()[name = tensor("op_2650_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2650_end_0 = const()[name = tensor("op_2650_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2650_end_mask_0 = const()[name = tensor("op_2650_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2650_cast_fp16 = slice_by_index(begin = var_2650_begin_0, end = var_2650_end_0, end_mask = var_2650_end_mask_0, x = output_523_cast_fp16)[name = tensor("op_2650_cast_fp16")]; - tensor var_2653_interleave_0 = const()[name = tensor("op_2653_interleave_0"), val = tensor(false)]; - tensor op_2653_cast_fp16 = concat(axis = var_34, interleave = var_2653_interleave_0, values = (op_2627_cast_fp16, op_2640_cast_fp16, op_2650_cast_fp16))[name = tensor("op_2653_cast_fp16")]; - tensor output_527_begin_0 = const()[name = tensor("output_527_begin_0"), val = tensor([3, 0, 0, 0])]; - tensor output_527_end_0 = const()[name = tensor("output_527_end_0"), val = tensor([4, 1024, 24, 24])]; - tensor output_527_end_mask_0 = const()[name = tensor("output_527_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_527_cast_fp16 = slice_by_index(begin = output_527_begin_0, end = output_527_end_0, end_mask = output_527_end_mask_0, x = op_2266_cast_fp16_1)[name = tensor("output_527_cast_fp16")]; - tensor var_2661_begin_0 = const()[name = tensor("op_2661_begin_0"), val = tensor([0, 0, 6, 0])]; - tensor var_2661_end_0 = const()[name = tensor("op_2661_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2661_end_mask_0 = const()[name = tensor("op_2661_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2661_cast_fp16 = slice_by_index(begin = var_2661_begin_0, end = var_2661_end_0, end_mask = var_2661_end_mask_0, x = output_527_cast_fp16)[name = tensor("op_2661_cast_fp16")]; - tensor var_2663_begin_0 = const()[name = tensor("op_2663_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2663_end_0 = const()[name = tensor("op_2663_end_0"), val = tensor([1, 1024, 12, 24])]; - tensor var_2663_end_mask_0 = const()[name = tensor("op_2663_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2663_cast_fp16 = slice_by_index(begin = var_2663_begin_0, end = var_2663_end_0, end_mask = var_2663_end_mask_0, x = op_2661_cast_fp16)[name = tensor("op_2663_cast_fp16")]; - tensor var_2666_begin_0 = const()[name = tensor("op_2666_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2666_end_0 = const()[name = tensor("op_2666_end_0"), val = tensor([1, 1024, 12, 18])]; - tensor var_2666_end_mask_0 = const()[name = tensor("op_2666_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2666_cast_fp16 = slice_by_index(begin = var_2666_begin_0, end = var_2666_end_0, end_mask = var_2666_end_mask_0, x = op_2663_cast_fp16)[name = tensor("op_2666_cast_fp16")]; - tensor output_533_begin_0 = const()[name = tensor("output_533_begin_0"), val = tensor([4, 0, 0, 0])]; - tensor output_533_end_0 = const()[name = tensor("output_533_end_0"), val = tensor([5, 1024, 24, 24])]; - tensor output_533_end_mask_0 = const()[name = tensor("output_533_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_533_cast_fp16 = slice_by_index(begin = output_533_begin_0, end = output_533_end_0, end_mask = output_533_end_mask_0, x = op_2266_cast_fp16_1)[name = tensor("output_533_cast_fp16")]; - tensor var_2674_begin_0 = const()[name = tensor("op_2674_begin_0"), val = tensor([0, 0, 6, 0])]; - tensor var_2674_end_0 = const()[name = tensor("op_2674_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2674_end_mask_0 = const()[name = tensor("op_2674_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2674_cast_fp16 = slice_by_index(begin = var_2674_begin_0, end = var_2674_end_0, end_mask = var_2674_end_mask_0, x = output_533_cast_fp16)[name = tensor("op_2674_cast_fp16")]; - tensor output_537_begin_0 = const()[name = tensor("output_537_begin_0"), val = tensor([0, 0, 0, 6])]; - tensor output_537_end_0 = const()[name = tensor("output_537_end_0"), val = tensor([1, 1024, 18, 24])]; - tensor output_537_end_mask_0 = const()[name = tensor("output_537_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_537_cast_fp16 = slice_by_index(begin = output_537_begin_0, end = output_537_end_0, end_mask = output_537_end_mask_0, x = op_2674_cast_fp16)[name = tensor("output_537_cast_fp16")]; - tensor var_2678_begin_0 = const()[name = tensor("op_2678_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2678_end_0 = const()[name = tensor("op_2678_end_0"), val = tensor([1, 1024, 12, 18])]; - tensor var_2678_end_mask_0 = const()[name = tensor("op_2678_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2678_cast_fp16 = slice_by_index(begin = var_2678_begin_0, end = var_2678_end_0, end_mask = var_2678_end_mask_0, x = output_537_cast_fp16)[name = tensor("op_2678_cast_fp16")]; - tensor var_2681_begin_0 = const()[name = tensor("op_2681_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2681_end_0 = const()[name = tensor("op_2681_end_0"), val = tensor([1, 1024, 12, 12])]; - tensor var_2681_end_mask_0 = const()[name = tensor("op_2681_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2681_cast_fp16 = slice_by_index(begin = var_2681_begin_0, end = var_2681_end_0, end_mask = var_2681_end_mask_0, x = op_2678_cast_fp16)[name = tensor("op_2681_cast_fp16")]; - tensor output_541_begin_0 = const()[name = tensor("output_541_begin_0"), val = tensor([5, 0, 0, 0])]; - tensor output_541_end_0 = const()[name = tensor("output_541_end_0"), val = tensor([6, 1024, 24, 24])]; - tensor output_541_end_mask_0 = const()[name = tensor("output_541_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_541_cast_fp16 = slice_by_index(begin = output_541_begin_0, end = output_541_end_0, end_mask = output_541_end_mask_0, x = op_2266_cast_fp16_1)[name = tensor("output_541_cast_fp16")]; - tensor var_2689_begin_0 = const()[name = tensor("op_2689_begin_0"), val = tensor([0, 0, 6, 0])]; - tensor var_2689_end_0 = const()[name = tensor("op_2689_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2689_end_mask_0 = const()[name = tensor("op_2689_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2689_cast_fp16 = slice_by_index(begin = var_2689_begin_0, end = var_2689_end_0, end_mask = var_2689_end_mask_0, x = output_541_cast_fp16)[name = tensor("op_2689_cast_fp16")]; - tensor output_545_begin_0 = const()[name = tensor("output_545_begin_0"), val = tensor([0, 0, 0, 6])]; - tensor output_545_end_0 = const()[name = tensor("output_545_end_0"), val = tensor([1, 1024, 18, 24])]; - tensor output_545_end_mask_0 = const()[name = tensor("output_545_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_545_cast_fp16 = slice_by_index(begin = output_545_begin_0, end = output_545_end_0, end_mask = output_545_end_mask_0, x = op_2689_cast_fp16)[name = tensor("output_545_cast_fp16")]; - tensor var_2693_begin_0 = const()[name = tensor("op_2693_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2693_end_0 = const()[name = tensor("op_2693_end_0"), val = tensor([1, 1024, 12, 18])]; - tensor var_2693_end_mask_0 = const()[name = tensor("op_2693_end_mask_0"), val = tensor([true, true, false, true])]; - tensor op_2693_cast_fp16 = slice_by_index(begin = var_2693_begin_0, end = var_2693_end_0, end_mask = var_2693_end_mask_0, x = output_545_cast_fp16)[name = tensor("op_2693_cast_fp16")]; - tensor var_2696_interleave_0 = const()[name = tensor("op_2696_interleave_0"), val = tensor(false)]; - tensor op_2696_cast_fp16 = concat(axis = var_34, interleave = var_2696_interleave_0, values = (op_2666_cast_fp16, op_2681_cast_fp16, op_2693_cast_fp16))[name = tensor("op_2696_cast_fp16")]; - tensor output_549_begin_0 = const()[name = tensor("output_549_begin_0"), val = tensor([6, 0, 0, 0])]; - tensor output_549_end_0 = const()[name = tensor("output_549_end_0"), val = tensor([7, 1024, 24, 24])]; - tensor output_549_end_mask_0 = const()[name = tensor("output_549_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_549_cast_fp16 = slice_by_index(begin = output_549_begin_0, end = output_549_end_0, end_mask = output_549_end_mask_0, x = op_2266_cast_fp16_1)[name = tensor("output_549_cast_fp16")]; - tensor var_2704_begin_0 = const()[name = tensor("op_2704_begin_0"), val = tensor([0, 0, 6, 0])]; - tensor var_2704_end_0 = const()[name = tensor("op_2704_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2704_end_mask_0 = const()[name = tensor("op_2704_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2704_cast_fp16 = slice_by_index(begin = var_2704_begin_0, end = var_2704_end_0, end_mask = var_2704_end_mask_0, x = output_549_cast_fp16)[name = tensor("op_2704_cast_fp16")]; - tensor var_2707_begin_0 = const()[name = tensor("op_2707_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2707_end_0 = const()[name = tensor("op_2707_end_0"), val = tensor([1, 1024, 18, 18])]; - tensor var_2707_end_mask_0 = const()[name = tensor("op_2707_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2707_cast_fp16 = slice_by_index(begin = var_2707_begin_0, end = var_2707_end_0, end_mask = var_2707_end_mask_0, x = op_2704_cast_fp16)[name = tensor("op_2707_cast_fp16")]; - tensor output_553_begin_0 = const()[name = tensor("output_553_begin_0"), val = tensor([7, 0, 0, 0])]; - tensor output_553_end_0 = const()[name = tensor("output_553_end_0"), val = tensor([8, 1024, 24, 24])]; - tensor output_553_end_mask_0 = const()[name = tensor("output_553_end_mask_0"), val = tensor([false, true, true, true])]; - tensor output_553_cast_fp16 = slice_by_index(begin = output_553_begin_0, end = output_553_end_0, end_mask = output_553_end_mask_0, x = op_2266_cast_fp16_1)[name = tensor("output_553_cast_fp16")]; - tensor var_2715_begin_0 = const()[name = tensor("op_2715_begin_0"), val = tensor([0, 0, 6, 0])]; - tensor var_2715_end_0 = const()[name = tensor("op_2715_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2715_end_mask_0 = const()[name = tensor("op_2715_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2715_cast_fp16 = slice_by_index(begin = var_2715_begin_0, end = var_2715_end_0, end_mask = var_2715_end_mask_0, x = output_553_cast_fp16)[name = tensor("op_2715_cast_fp16")]; - tensor output_557_begin_0 = const()[name = tensor("output_557_begin_0"), val = tensor([0, 0, 0, 6])]; - tensor output_557_end_0 = const()[name = tensor("output_557_end_0"), val = tensor([1, 1024, 18, 24])]; - tensor output_557_end_mask_0 = const()[name = tensor("output_557_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_557_cast_fp16 = slice_by_index(begin = output_557_begin_0, end = output_557_end_0, end_mask = output_557_end_mask_0, x = op_2715_cast_fp16)[name = tensor("output_557_cast_fp16")]; - tensor var_2720_begin_0 = const()[name = tensor("op_2720_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_2720_end_0 = const()[name = tensor("op_2720_end_0"), val = tensor([1, 1024, 18, 12])]; - tensor var_2720_end_mask_0 = const()[name = tensor("op_2720_end_mask_0"), val = tensor([true, true, true, false])]; - tensor op_2720_cast_fp16 = slice_by_index(begin = var_2720_begin_0, end = var_2720_end_0, end_mask = var_2720_end_mask_0, x = output_557_cast_fp16)[name = tensor("op_2720_cast_fp16")]; - tensor output_559_begin_0 = const()[name = tensor("output_559_begin_0"), val = tensor([8, 0, 0, 0])]; - tensor output_559_end_0 = const()[name = tensor("output_559_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor output_559_end_mask_0 = const()[name = tensor("output_559_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_559_cast_fp16 = slice_by_index(begin = output_559_begin_0, end = output_559_end_0, end_mask = output_559_end_mask_0, x = op_2266_cast_fp16_1)[name = tensor("output_559_cast_fp16")]; - tensor var_2728_begin_0 = const()[name = tensor("op_2728_begin_0"), val = tensor([0, 0, 6, 0])]; - tensor var_2728_end_0 = const()[name = tensor("op_2728_end_0"), val = tensor([1, 1024, 24, 24])]; - tensor var_2728_end_mask_0 = const()[name = tensor("op_2728_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_2728_cast_fp16 = slice_by_index(begin = var_2728_begin_0, end = var_2728_end_0, end_mask = var_2728_end_mask_0, x = output_559_cast_fp16)[name = tensor("op_2728_cast_fp16")]; - tensor output_begin_0 = const()[name = tensor("output_begin_0"), val = tensor([0, 0, 0, 6])]; - tensor output_end_0 = const()[name = tensor("output_end_0"), val = tensor([1, 1024, 18, 24])]; - tensor output_end_mask_0 = const()[name = tensor("output_end_mask_0"), val = tensor([true, true, true, true])]; - tensor output_cast_fp16 = slice_by_index(begin = output_begin_0, end = output_end_0, end_mask = output_end_mask_0, x = op_2728_cast_fp16)[name = tensor("output_cast_fp16")]; - tensor output_row_interleave_0 = const()[name = tensor("output_row_interleave_0"), val = tensor(false)]; - tensor output_row_cast_fp16 = concat(axis = var_34, interleave = output_row_interleave_0, values = (op_2707_cast_fp16, op_2720_cast_fp16, output_cast_fp16))[name = tensor("output_row_cast_fp16")]; - tensor input_891_interleave_0 = const()[name = tensor("input_891_interleave_0"), val = tensor(false)]; - tensor input_891_cast_fp16 = concat(axis = var_36, interleave = input_891_interleave_0, values = (op_2653_cast_fp16, op_2696_cast_fp16, output_row_cast_fp16))[name = tensor("input_891_cast_fp16")]; - tensor x_205_pad_type_0 = const()[name = tensor("x_205_pad_type_0"), val = tensor("valid")]; - tensor x_205_strides_0 = const()[name = tensor("x_205_strides_0"), val = tensor([16, 16])]; - tensor x_205_pad_0 = const()[name = tensor("x_205_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor x_205_dilations_0 = const()[name = tensor("x_205_dilations_0"), val = tensor([1, 1])]; - tensor x_205_groups_0 = const()[name = tensor("x_205_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_patch_embed_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_patch_embed_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(607571392)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_patch_embed_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_patch_embed_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(609144320)))]; - tensor x_205_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_patch_embed_proj_bias_to_fp16, dilations = x_205_dilations_0, groups = x_205_groups_0, pad = x_205_pad_0, pad_type = x_205_pad_type_0, strides = x_205_strides_0, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_patch_embed_proj_weight_to_fp16, x = x2_cast_fp16)[name = tensor("x_205_cast_fp16")]; - tensor concat_2 = const()[name = tensor("concat_2"), val = tensor([1, 1024, 576])]; - tensor op_2796_cast_fp16 = reshape(shape = concat_2, x = x_205_cast_fp16)[name = tensor("op_2796_cast_fp16")]; - tensor x_207_perm_0 = const()[name = tensor("x_207_perm_0"), val = tensor([0, 2, 1])]; - tensor x_209_interleave_0 = const()[name = tensor("x_209_interleave_0"), val = tensor(false)]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_cls_token_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_cls_token_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(609146432)))]; - tensor transpose_53_cast_fp16 = transpose(perm = x_207_perm_0, x = op_2796_cast_fp16)[name = tensor("transpose_53")]; - tensor x_209_cast_fp16 = concat(axis = var_41, interleave = x_209_interleave_0, values = (monodepth_model_monodepth_predictor_encoder_image_encoder_cls_token_to_fp16, transpose_53_cast_fp16))[name = tensor("x_209_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_pos_embed_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_pos_embed_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(609148544)))]; - tensor input_437_cast_fp16 = add(x = x_209_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_pos_embed_to_fp16)[name = tensor("input_437_cast_fp16")]; - tensor x_211_axes_0 = const()[name = tensor("x_211_axes_0"), val = tensor([-1])]; - tensor x_211_cast_fp16 = layer_norm(axes = x_211_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_norm1_weight_to_fp16, x = input_437_cast_fp16)[name = tensor("x_211_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(610330304)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(616621824)))]; - tensor linear_96_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_attn_qkv_weight_to_fp16, x = x_211_cast_fp16)[name = tensor("linear_96_cast_fp16")]; - tensor var_2823 = const()[name = tensor("op_2823"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_2824_cast_fp16 = reshape(shape = var_2823, x = linear_96_cast_fp16)[name = tensor("op_2824_cast_fp16")]; - tensor var_2825 = const()[name = tensor("op_2825"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_2827_split_sizes_0 = const()[name = tensor("op_2827_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_2827_axis_0 = const()[name = tensor("op_2827_axis_0"), val = tensor(0)]; - tensor transpose_52_cast_fp16 = transpose(perm = var_2825, x = op_2824_cast_fp16)[name = tensor("transpose_52")]; - tensor op_2827_cast_fp16_0, tensor op_2827_cast_fp16_1, tensor op_2827_cast_fp16_2 = split(axis = var_2827_axis_0, split_sizes = var_2827_split_sizes_0, x = transpose_52_cast_fp16)[name = tensor("op_2827_cast_fp16")]; - tensor squeeze_72_axes_0 = const()[name = tensor("squeeze_72_axes_0"), val = tensor([0])]; - tensor squeeze_72_cast_fp16 = squeeze(axes = squeeze_72_axes_0, x = op_2827_cast_fp16_0)[name = tensor("squeeze_72_cast_fp16")]; - tensor squeeze_73_axes_0 = const()[name = tensor("squeeze_73_axes_0"), val = tensor([0])]; - tensor squeeze_73_cast_fp16 = squeeze(axes = squeeze_73_axes_0, x = op_2827_cast_fp16_1)[name = tensor("squeeze_73_cast_fp16")]; - tensor squeeze_74_axes_0 = const()[name = tensor("squeeze_74_axes_0"), val = tensor([0])]; - tensor squeeze_74_cast_fp16 = squeeze(axes = squeeze_74_axes_0, x = op_2827_cast_fp16_2)[name = tensor("squeeze_74_cast_fp16")]; - tensor mul_24_y_0_to_fp16 = const()[name = tensor("mul_24_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_24_cast_fp16 = mul(x = squeeze_72_cast_fp16, y = mul_24_y_0_to_fp16)[name = tensor("mul_24_cast_fp16")]; - tensor matmul_24_transpose_y_0 = const()[name = tensor("matmul_24_transpose_y_0"), val = tensor(true)]; - tensor matmul_24_transpose_x_0 = const()[name = tensor("matmul_24_transpose_x_0"), val = tensor(false)]; - tensor matmul_24_cast_fp16 = matmul(transpose_x = matmul_24_transpose_x_0, transpose_y = matmul_24_transpose_y_0, x = mul_24_cast_fp16, y = squeeze_73_cast_fp16)[name = tensor("matmul_24_cast_fp16")]; - tensor softmax_24_axis_0 = const()[name = tensor("softmax_24_axis_0"), val = tensor(-1)]; - tensor softmax_24_cast_fp16 = softmax(axis = softmax_24_axis_0, x = matmul_24_cast_fp16)[name = tensor("softmax_24_cast_fp16")]; - tensor x_213_transpose_x_0 = const()[name = tensor("x_213_transpose_x_0"), val = tensor(false)]; - tensor x_213_transpose_y_0 = const()[name = tensor("x_213_transpose_y_0"), val = tensor(false)]; - tensor x_213_cast_fp16 = matmul(transpose_x = x_213_transpose_x_0, transpose_y = x_213_transpose_y_0, x = softmax_24_cast_fp16, y = squeeze_74_cast_fp16)[name = tensor("x_213_cast_fp16")]; - tensor var_2832_perm_0 = const()[name = tensor("op_2832_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_2833 = const()[name = tensor("op_2833"), val = tensor([1, 577, 1024])]; - tensor transpose_51_cast_fp16 = transpose(perm = var_2832_perm_0, x = x_213_cast_fp16)[name = tensor("transpose_51")]; - tensor input_441_cast_fp16 = reshape(shape = var_2833, x = transpose_51_cast_fp16)[name = tensor("input_441_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(616628032)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(618725248)))]; - tensor linear_97_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_attn_proj_weight_to_fp16, x = input_441_cast_fp16)[name = tensor("linear_97_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(618727360)))]; - tensor op_2840_cast_fp16 = mul(x = linear_97_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_ls1_gamma_to_fp16)[name = tensor("op_2840_cast_fp16")]; - tensor input_445_cast_fp16 = add(x = input_437_cast_fp16, y = op_2840_cast_fp16)[name = tensor("input_445_cast_fp16")]; - tensor input_447_axes_0 = const()[name = tensor("input_447_axes_0"), val = tensor([-1])]; - tensor input_447_cast_fp16 = layer_norm(axes = input_447_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_0_norm2_weight_to_fp16, x = input_445_cast_fp16)[name = tensor("input_447_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(618729472)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(627118144)))]; - tensor linear_98_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_mlp_fc1_weight_to_fp16, x = input_447_cast_fp16)[name = tensor("linear_98_cast_fp16")]; - tensor input_451_mode_0 = const()[name = tensor("input_451_mode_0"), val = tensor("EXACT")]; - tensor input_451_cast_fp16 = gelu(mode = input_451_mode_0, x = linear_98_cast_fp16)[name = tensor("input_451_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(627126400)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(635515072)))]; - tensor linear_99_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_mlp_fc2_weight_to_fp16, x = input_451_cast_fp16)[name = tensor("linear_99_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(635517184)))]; - tensor op_2858_cast_fp16 = mul(x = linear_99_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_0_ls2_gamma_to_fp16)[name = tensor("op_2858_cast_fp16")]; - tensor input_457_cast_fp16 = add(x = input_445_cast_fp16, y = op_2858_cast_fp16)[name = tensor("input_457_cast_fp16")]; - tensor x_219_axes_0 = const()[name = tensor("x_219_axes_0"), val = tensor([-1])]; - tensor x_219_cast_fp16 = layer_norm(axes = x_219_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_norm1_weight_to_fp16, x = input_457_cast_fp16)[name = tensor("x_219_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(635519296)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(641810816)))]; - tensor linear_100_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_attn_qkv_weight_to_fp16, x = x_219_cast_fp16)[name = tensor("linear_100_cast_fp16")]; - tensor var_2878 = const()[name = tensor("op_2878"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_2879_cast_fp16 = reshape(shape = var_2878, x = linear_100_cast_fp16)[name = tensor("op_2879_cast_fp16")]; - tensor var_2880 = const()[name = tensor("op_2880"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_2882_split_sizes_0 = const()[name = tensor("op_2882_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_2882_axis_0 = const()[name = tensor("op_2882_axis_0"), val = tensor(0)]; - tensor transpose_50_cast_fp16 = transpose(perm = var_2880, x = op_2879_cast_fp16)[name = tensor("transpose_50")]; - tensor op_2882_cast_fp16_0, tensor op_2882_cast_fp16_1, tensor op_2882_cast_fp16_2 = split(axis = var_2882_axis_0, split_sizes = var_2882_split_sizes_0, x = transpose_50_cast_fp16)[name = tensor("op_2882_cast_fp16")]; - tensor squeeze_75_axes_0 = const()[name = tensor("squeeze_75_axes_0"), val = tensor([0])]; - tensor squeeze_75_cast_fp16 = squeeze(axes = squeeze_75_axes_0, x = op_2882_cast_fp16_0)[name = tensor("squeeze_75_cast_fp16")]; - tensor squeeze_76_axes_0 = const()[name = tensor("squeeze_76_axes_0"), val = tensor([0])]; - tensor squeeze_76_cast_fp16 = squeeze(axes = squeeze_76_axes_0, x = op_2882_cast_fp16_1)[name = tensor("squeeze_76_cast_fp16")]; - tensor squeeze_77_axes_0 = const()[name = tensor("squeeze_77_axes_0"), val = tensor([0])]; - tensor squeeze_77_cast_fp16 = squeeze(axes = squeeze_77_axes_0, x = op_2882_cast_fp16_2)[name = tensor("squeeze_77_cast_fp16")]; - tensor mul_25_y_0_to_fp16 = const()[name = tensor("mul_25_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_25_cast_fp16 = mul(x = squeeze_75_cast_fp16, y = mul_25_y_0_to_fp16)[name = tensor("mul_25_cast_fp16")]; - tensor matmul_25_transpose_y_0 = const()[name = tensor("matmul_25_transpose_y_0"), val = tensor(true)]; - tensor matmul_25_transpose_x_0 = const()[name = tensor("matmul_25_transpose_x_0"), val = tensor(false)]; - tensor matmul_25_cast_fp16 = matmul(transpose_x = matmul_25_transpose_x_0, transpose_y = matmul_25_transpose_y_0, x = mul_25_cast_fp16, y = squeeze_76_cast_fp16)[name = tensor("matmul_25_cast_fp16")]; - tensor softmax_25_axis_0 = const()[name = tensor("softmax_25_axis_0"), val = tensor(-1)]; - tensor softmax_25_cast_fp16 = softmax(axis = softmax_25_axis_0, x = matmul_25_cast_fp16)[name = tensor("softmax_25_cast_fp16")]; - tensor x_221_transpose_x_0 = const()[name = tensor("x_221_transpose_x_0"), val = tensor(false)]; - tensor x_221_transpose_y_0 = const()[name = tensor("x_221_transpose_y_0"), val = tensor(false)]; - tensor x_221_cast_fp16 = matmul(transpose_x = x_221_transpose_x_0, transpose_y = x_221_transpose_y_0, x = softmax_25_cast_fp16, y = squeeze_77_cast_fp16)[name = tensor("x_221_cast_fp16")]; - tensor var_2887_perm_0 = const()[name = tensor("op_2887_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_2888 = const()[name = tensor("op_2888"), val = tensor([1, 577, 1024])]; - tensor transpose_49_cast_fp16 = transpose(perm = var_2887_perm_0, x = x_221_cast_fp16)[name = tensor("transpose_49")]; - tensor input_459_cast_fp16 = reshape(shape = var_2888, x = transpose_49_cast_fp16)[name = tensor("input_459_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(641817024)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(643914240)))]; - tensor linear_101_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_attn_proj_weight_to_fp16, x = input_459_cast_fp16)[name = tensor("linear_101_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(643916352)))]; - tensor op_2895_cast_fp16 = mul(x = linear_101_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_ls1_gamma_to_fp16)[name = tensor("op_2895_cast_fp16")]; - tensor input_463_cast_fp16 = add(x = input_457_cast_fp16, y = op_2895_cast_fp16)[name = tensor("input_463_cast_fp16")]; - tensor input_465_axes_0 = const()[name = tensor("input_465_axes_0"), val = tensor([-1])]; - tensor input_465_cast_fp16 = layer_norm(axes = input_465_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_1_norm2_weight_to_fp16, x = input_463_cast_fp16)[name = tensor("input_465_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(643918464)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(652307136)))]; - tensor linear_102_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_mlp_fc1_weight_to_fp16, x = input_465_cast_fp16)[name = tensor("linear_102_cast_fp16")]; - tensor input_469_mode_0 = const()[name = tensor("input_469_mode_0"), val = tensor("EXACT")]; - tensor input_469_cast_fp16 = gelu(mode = input_469_mode_0, x = linear_102_cast_fp16)[name = tensor("input_469_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(652315392)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(660704064)))]; - tensor linear_103_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_mlp_fc2_weight_to_fp16, x = input_469_cast_fp16)[name = tensor("linear_103_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(660706176)))]; - tensor op_2913_cast_fp16 = mul(x = linear_103_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_1_ls2_gamma_to_fp16)[name = tensor("op_2913_cast_fp16")]; - tensor input_475_cast_fp16 = add(x = input_463_cast_fp16, y = op_2913_cast_fp16)[name = tensor("input_475_cast_fp16")]; - tensor x_227_axes_0 = const()[name = tensor("x_227_axes_0"), val = tensor([-1])]; - tensor x_227_cast_fp16 = layer_norm(axes = x_227_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_norm1_weight_to_fp16, x = input_475_cast_fp16)[name = tensor("x_227_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(660708288)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(666999808)))]; - tensor linear_104_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_attn_qkv_weight_to_fp16, x = x_227_cast_fp16)[name = tensor("linear_104_cast_fp16")]; - tensor var_2933 = const()[name = tensor("op_2933"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_2934_cast_fp16 = reshape(shape = var_2933, x = linear_104_cast_fp16)[name = tensor("op_2934_cast_fp16")]; - tensor var_2935 = const()[name = tensor("op_2935"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_2937_split_sizes_0 = const()[name = tensor("op_2937_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_2937_axis_0 = const()[name = tensor("op_2937_axis_0"), val = tensor(0)]; - tensor transpose_48_cast_fp16 = transpose(perm = var_2935, x = op_2934_cast_fp16)[name = tensor("transpose_48")]; - tensor op_2937_cast_fp16_0, tensor op_2937_cast_fp16_1, tensor op_2937_cast_fp16_2 = split(axis = var_2937_axis_0, split_sizes = var_2937_split_sizes_0, x = transpose_48_cast_fp16)[name = tensor("op_2937_cast_fp16")]; - tensor squeeze_78_axes_0 = const()[name = tensor("squeeze_78_axes_0"), val = tensor([0])]; - tensor squeeze_78_cast_fp16 = squeeze(axes = squeeze_78_axes_0, x = op_2937_cast_fp16_0)[name = tensor("squeeze_78_cast_fp16")]; - tensor squeeze_79_axes_0 = const()[name = tensor("squeeze_79_axes_0"), val = tensor([0])]; - tensor squeeze_79_cast_fp16 = squeeze(axes = squeeze_79_axes_0, x = op_2937_cast_fp16_1)[name = tensor("squeeze_79_cast_fp16")]; - tensor squeeze_80_axes_0 = const()[name = tensor("squeeze_80_axes_0"), val = tensor([0])]; - tensor squeeze_80_cast_fp16 = squeeze(axes = squeeze_80_axes_0, x = op_2937_cast_fp16_2)[name = tensor("squeeze_80_cast_fp16")]; - tensor mul_26_y_0_to_fp16 = const()[name = tensor("mul_26_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_26_cast_fp16 = mul(x = squeeze_78_cast_fp16, y = mul_26_y_0_to_fp16)[name = tensor("mul_26_cast_fp16")]; - tensor matmul_26_transpose_y_0 = const()[name = tensor("matmul_26_transpose_y_0"), val = tensor(true)]; - tensor matmul_26_transpose_x_0 = const()[name = tensor("matmul_26_transpose_x_0"), val = tensor(false)]; - tensor matmul_26_cast_fp16 = matmul(transpose_x = matmul_26_transpose_x_0, transpose_y = matmul_26_transpose_y_0, x = mul_26_cast_fp16, y = squeeze_79_cast_fp16)[name = tensor("matmul_26_cast_fp16")]; - tensor softmax_26_axis_0 = const()[name = tensor("softmax_26_axis_0"), val = tensor(-1)]; - tensor softmax_26_cast_fp16 = softmax(axis = softmax_26_axis_0, x = matmul_26_cast_fp16)[name = tensor("softmax_26_cast_fp16")]; - tensor x_229_transpose_x_0 = const()[name = tensor("x_229_transpose_x_0"), val = tensor(false)]; - tensor x_229_transpose_y_0 = const()[name = tensor("x_229_transpose_y_0"), val = tensor(false)]; - tensor x_229_cast_fp16 = matmul(transpose_x = x_229_transpose_x_0, transpose_y = x_229_transpose_y_0, x = softmax_26_cast_fp16, y = squeeze_80_cast_fp16)[name = tensor("x_229_cast_fp16")]; - tensor var_2942_perm_0 = const()[name = tensor("op_2942_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_2943 = const()[name = tensor("op_2943"), val = tensor([1, 577, 1024])]; - tensor transpose_47_cast_fp16 = transpose(perm = var_2942_perm_0, x = x_229_cast_fp16)[name = tensor("transpose_47")]; - tensor input_477_cast_fp16 = reshape(shape = var_2943, x = transpose_47_cast_fp16)[name = tensor("input_477_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(667006016)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(669103232)))]; - tensor linear_105_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_attn_proj_weight_to_fp16, x = input_477_cast_fp16)[name = tensor("linear_105_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(669105344)))]; - tensor op_2950_cast_fp16 = mul(x = linear_105_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_ls1_gamma_to_fp16)[name = tensor("op_2950_cast_fp16")]; - tensor input_481_cast_fp16 = add(x = input_475_cast_fp16, y = op_2950_cast_fp16)[name = tensor("input_481_cast_fp16")]; - tensor input_483_axes_0 = const()[name = tensor("input_483_axes_0"), val = tensor([-1])]; - tensor input_483_cast_fp16 = layer_norm(axes = input_483_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_2_norm2_weight_to_fp16, x = input_481_cast_fp16)[name = tensor("input_483_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(669107456)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(677496128)))]; - tensor linear_106_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_mlp_fc1_weight_to_fp16, x = input_483_cast_fp16)[name = tensor("linear_106_cast_fp16")]; - tensor input_487_mode_0 = const()[name = tensor("input_487_mode_0"), val = tensor("EXACT")]; - tensor input_487_cast_fp16 = gelu(mode = input_487_mode_0, x = linear_106_cast_fp16)[name = tensor("input_487_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(677504384)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(685893056)))]; - tensor linear_107_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_mlp_fc2_weight_to_fp16, x = input_487_cast_fp16)[name = tensor("linear_107_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(685895168)))]; - tensor op_2968_cast_fp16 = mul(x = linear_107_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_2_ls2_gamma_to_fp16)[name = tensor("op_2968_cast_fp16")]; - tensor input_493_cast_fp16 = add(x = input_481_cast_fp16, y = op_2968_cast_fp16)[name = tensor("input_493_cast_fp16")]; - tensor x_235_axes_0 = const()[name = tensor("x_235_axes_0"), val = tensor([-1])]; - tensor x_235_cast_fp16 = layer_norm(axes = x_235_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_norm1_weight_to_fp16, x = input_493_cast_fp16)[name = tensor("x_235_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(685897280)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(692188800)))]; - tensor linear_108_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_attn_qkv_weight_to_fp16, x = x_235_cast_fp16)[name = tensor("linear_108_cast_fp16")]; - tensor var_2988 = const()[name = tensor("op_2988"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_2989_cast_fp16 = reshape(shape = var_2988, x = linear_108_cast_fp16)[name = tensor("op_2989_cast_fp16")]; - tensor var_2990 = const()[name = tensor("op_2990"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_2992_split_sizes_0 = const()[name = tensor("op_2992_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_2992_axis_0 = const()[name = tensor("op_2992_axis_0"), val = tensor(0)]; - tensor transpose_46_cast_fp16 = transpose(perm = var_2990, x = op_2989_cast_fp16)[name = tensor("transpose_46")]; - tensor op_2992_cast_fp16_0, tensor op_2992_cast_fp16_1, tensor op_2992_cast_fp16_2 = split(axis = var_2992_axis_0, split_sizes = var_2992_split_sizes_0, x = transpose_46_cast_fp16)[name = tensor("op_2992_cast_fp16")]; - tensor squeeze_81_axes_0 = const()[name = tensor("squeeze_81_axes_0"), val = tensor([0])]; - tensor squeeze_81_cast_fp16 = squeeze(axes = squeeze_81_axes_0, x = op_2992_cast_fp16_0)[name = tensor("squeeze_81_cast_fp16")]; - tensor squeeze_82_axes_0 = const()[name = tensor("squeeze_82_axes_0"), val = tensor([0])]; - tensor squeeze_82_cast_fp16 = squeeze(axes = squeeze_82_axes_0, x = op_2992_cast_fp16_1)[name = tensor("squeeze_82_cast_fp16")]; - tensor squeeze_83_axes_0 = const()[name = tensor("squeeze_83_axes_0"), val = tensor([0])]; - tensor squeeze_83_cast_fp16 = squeeze(axes = squeeze_83_axes_0, x = op_2992_cast_fp16_2)[name = tensor("squeeze_83_cast_fp16")]; - tensor mul_27_y_0_to_fp16 = const()[name = tensor("mul_27_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_27_cast_fp16 = mul(x = squeeze_81_cast_fp16, y = mul_27_y_0_to_fp16)[name = tensor("mul_27_cast_fp16")]; - tensor matmul_27_transpose_y_0 = const()[name = tensor("matmul_27_transpose_y_0"), val = tensor(true)]; - tensor matmul_27_transpose_x_0 = const()[name = tensor("matmul_27_transpose_x_0"), val = tensor(false)]; - tensor matmul_27_cast_fp16 = matmul(transpose_x = matmul_27_transpose_x_0, transpose_y = matmul_27_transpose_y_0, x = mul_27_cast_fp16, y = squeeze_82_cast_fp16)[name = tensor("matmul_27_cast_fp16")]; - tensor softmax_27_axis_0 = const()[name = tensor("softmax_27_axis_0"), val = tensor(-1)]; - tensor softmax_27_cast_fp16 = softmax(axis = softmax_27_axis_0, x = matmul_27_cast_fp16)[name = tensor("softmax_27_cast_fp16")]; - tensor x_237_transpose_x_0 = const()[name = tensor("x_237_transpose_x_0"), val = tensor(false)]; - tensor x_237_transpose_y_0 = const()[name = tensor("x_237_transpose_y_0"), val = tensor(false)]; - tensor x_237_cast_fp16 = matmul(transpose_x = x_237_transpose_x_0, transpose_y = x_237_transpose_y_0, x = softmax_27_cast_fp16, y = squeeze_83_cast_fp16)[name = tensor("x_237_cast_fp16")]; - tensor var_2997_perm_0 = const()[name = tensor("op_2997_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_2998 = const()[name = tensor("op_2998"), val = tensor([1, 577, 1024])]; - tensor transpose_45_cast_fp16 = transpose(perm = var_2997_perm_0, x = x_237_cast_fp16)[name = tensor("transpose_45")]; - tensor input_495_cast_fp16 = reshape(shape = var_2998, x = transpose_45_cast_fp16)[name = tensor("input_495_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(692195008)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(694292224)))]; - tensor linear_109_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_attn_proj_weight_to_fp16, x = input_495_cast_fp16)[name = tensor("linear_109_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(694294336)))]; - tensor op_3005_cast_fp16 = mul(x = linear_109_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_ls1_gamma_to_fp16)[name = tensor("op_3005_cast_fp16")]; - tensor input_499_cast_fp16 = add(x = input_493_cast_fp16, y = op_3005_cast_fp16)[name = tensor("input_499_cast_fp16")]; - tensor input_501_axes_0 = const()[name = tensor("input_501_axes_0"), val = tensor([-1])]; - tensor input_501_cast_fp16 = layer_norm(axes = input_501_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_3_norm2_weight_to_fp16, x = input_499_cast_fp16)[name = tensor("input_501_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(694296448)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(702685120)))]; - tensor linear_110_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_mlp_fc1_weight_to_fp16, x = input_501_cast_fp16)[name = tensor("linear_110_cast_fp16")]; - tensor input_505_mode_0 = const()[name = tensor("input_505_mode_0"), val = tensor("EXACT")]; - tensor input_505_cast_fp16 = gelu(mode = input_505_mode_0, x = linear_110_cast_fp16)[name = tensor("input_505_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(702693376)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(711082048)))]; - tensor linear_111_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_mlp_fc2_weight_to_fp16, x = input_505_cast_fp16)[name = tensor("linear_111_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(711084160)))]; - tensor op_3023_cast_fp16 = mul(x = linear_111_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_3_ls2_gamma_to_fp16)[name = tensor("op_3023_cast_fp16")]; - tensor input_511_cast_fp16 = add(x = input_499_cast_fp16, y = op_3023_cast_fp16)[name = tensor("input_511_cast_fp16")]; - tensor x_243_axes_0 = const()[name = tensor("x_243_axes_0"), val = tensor([-1])]; - tensor x_243_cast_fp16 = layer_norm(axes = x_243_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_norm1_weight_to_fp16, x = input_511_cast_fp16)[name = tensor("x_243_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(711086272)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(717377792)))]; - tensor linear_112_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_attn_qkv_weight_to_fp16, x = x_243_cast_fp16)[name = tensor("linear_112_cast_fp16")]; - tensor var_3043 = const()[name = tensor("op_3043"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3044_cast_fp16 = reshape(shape = var_3043, x = linear_112_cast_fp16)[name = tensor("op_3044_cast_fp16")]; - tensor var_3045 = const()[name = tensor("op_3045"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3047_split_sizes_0 = const()[name = tensor("op_3047_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3047_axis_0 = const()[name = tensor("op_3047_axis_0"), val = tensor(0)]; - tensor transpose_44_cast_fp16 = transpose(perm = var_3045, x = op_3044_cast_fp16)[name = tensor("transpose_44")]; - tensor op_3047_cast_fp16_0, tensor op_3047_cast_fp16_1, tensor op_3047_cast_fp16_2 = split(axis = var_3047_axis_0, split_sizes = var_3047_split_sizes_0, x = transpose_44_cast_fp16)[name = tensor("op_3047_cast_fp16")]; - tensor squeeze_84_axes_0 = const()[name = tensor("squeeze_84_axes_0"), val = tensor([0])]; - tensor squeeze_84_cast_fp16 = squeeze(axes = squeeze_84_axes_0, x = op_3047_cast_fp16_0)[name = tensor("squeeze_84_cast_fp16")]; - tensor squeeze_85_axes_0 = const()[name = tensor("squeeze_85_axes_0"), val = tensor([0])]; - tensor squeeze_85_cast_fp16 = squeeze(axes = squeeze_85_axes_0, x = op_3047_cast_fp16_1)[name = tensor("squeeze_85_cast_fp16")]; - tensor squeeze_86_axes_0 = const()[name = tensor("squeeze_86_axes_0"), val = tensor([0])]; - tensor squeeze_86_cast_fp16 = squeeze(axes = squeeze_86_axes_0, x = op_3047_cast_fp16_2)[name = tensor("squeeze_86_cast_fp16")]; - tensor mul_28_y_0_to_fp16 = const()[name = tensor("mul_28_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_28_cast_fp16 = mul(x = squeeze_84_cast_fp16, y = mul_28_y_0_to_fp16)[name = tensor("mul_28_cast_fp16")]; - tensor matmul_28_transpose_y_0 = const()[name = tensor("matmul_28_transpose_y_0"), val = tensor(true)]; - tensor matmul_28_transpose_x_0 = const()[name = tensor("matmul_28_transpose_x_0"), val = tensor(false)]; - tensor matmul_28_cast_fp16 = matmul(transpose_x = matmul_28_transpose_x_0, transpose_y = matmul_28_transpose_y_0, x = mul_28_cast_fp16, y = squeeze_85_cast_fp16)[name = tensor("matmul_28_cast_fp16")]; - tensor softmax_28_axis_0 = const()[name = tensor("softmax_28_axis_0"), val = tensor(-1)]; - tensor softmax_28_cast_fp16 = softmax(axis = softmax_28_axis_0, x = matmul_28_cast_fp16)[name = tensor("softmax_28_cast_fp16")]; - tensor x_245_transpose_x_0 = const()[name = tensor("x_245_transpose_x_0"), val = tensor(false)]; - tensor x_245_transpose_y_0 = const()[name = tensor("x_245_transpose_y_0"), val = tensor(false)]; - tensor x_245_cast_fp16 = matmul(transpose_x = x_245_transpose_x_0, transpose_y = x_245_transpose_y_0, x = softmax_28_cast_fp16, y = squeeze_86_cast_fp16)[name = tensor("x_245_cast_fp16")]; - tensor var_3052_perm_0 = const()[name = tensor("op_3052_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3053 = const()[name = tensor("op_3053"), val = tensor([1, 577, 1024])]; - tensor transpose_43_cast_fp16 = transpose(perm = var_3052_perm_0, x = x_245_cast_fp16)[name = tensor("transpose_43")]; - tensor input_513_cast_fp16 = reshape(shape = var_3053, x = transpose_43_cast_fp16)[name = tensor("input_513_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(717384000)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(719481216)))]; - tensor linear_113_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_attn_proj_weight_to_fp16, x = input_513_cast_fp16)[name = tensor("linear_113_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(719483328)))]; - tensor op_3060_cast_fp16 = mul(x = linear_113_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_ls1_gamma_to_fp16)[name = tensor("op_3060_cast_fp16")]; - tensor input_517_cast_fp16 = add(x = input_511_cast_fp16, y = op_3060_cast_fp16)[name = tensor("input_517_cast_fp16")]; - tensor input_519_axes_0 = const()[name = tensor("input_519_axes_0"), val = tensor([-1])]; - tensor input_519_cast_fp16 = layer_norm(axes = input_519_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_4_norm2_weight_to_fp16, x = input_517_cast_fp16)[name = tensor("input_519_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(719485440)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(727874112)))]; - tensor linear_114_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_mlp_fc1_weight_to_fp16, x = input_519_cast_fp16)[name = tensor("linear_114_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 = linear_114_cast_fp16)[name = tensor("input_523_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(727882368)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(736271040)))]; - tensor linear_115_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_mlp_fc2_weight_to_fp16, x = input_523_cast_fp16)[name = tensor("linear_115_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(736273152)))]; - tensor op_3078_cast_fp16 = mul(x = linear_115_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_4_ls2_gamma_to_fp16)[name = tensor("op_3078_cast_fp16")]; - tensor input_529_cast_fp16 = add(x = input_517_cast_fp16, y = op_3078_cast_fp16)[name = tensor("input_529_cast_fp16")]; - tensor x_251_axes_0 = const()[name = tensor("x_251_axes_0"), val = tensor([-1])]; - tensor x_251_cast_fp16 = layer_norm(axes = x_251_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_norm1_weight_to_fp16, x = input_529_cast_fp16)[name = tensor("x_251_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(736275264)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(742566784)))]; - tensor linear_116_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_attn_qkv_weight_to_fp16, x = x_251_cast_fp16)[name = tensor("linear_116_cast_fp16")]; - tensor var_3098 = const()[name = tensor("op_3098"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3099_cast_fp16 = reshape(shape = var_3098, x = linear_116_cast_fp16)[name = tensor("op_3099_cast_fp16")]; - tensor var_3100 = const()[name = tensor("op_3100"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3102_split_sizes_0 = const()[name = tensor("op_3102_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3102_axis_0 = const()[name = tensor("op_3102_axis_0"), val = tensor(0)]; - tensor transpose_42_cast_fp16 = transpose(perm = var_3100, x = op_3099_cast_fp16)[name = tensor("transpose_42")]; - tensor op_3102_cast_fp16_0, tensor op_3102_cast_fp16_1, tensor op_3102_cast_fp16_2 = split(axis = var_3102_axis_0, split_sizes = var_3102_split_sizes_0, x = transpose_42_cast_fp16)[name = tensor("op_3102_cast_fp16")]; - tensor squeeze_87_axes_0 = const()[name = tensor("squeeze_87_axes_0"), val = tensor([0])]; - tensor squeeze_87_cast_fp16 = squeeze(axes = squeeze_87_axes_0, x = op_3102_cast_fp16_0)[name = tensor("squeeze_87_cast_fp16")]; - tensor squeeze_88_axes_0 = const()[name = tensor("squeeze_88_axes_0"), val = tensor([0])]; - tensor squeeze_88_cast_fp16 = squeeze(axes = squeeze_88_axes_0, x = op_3102_cast_fp16_1)[name = tensor("squeeze_88_cast_fp16")]; - tensor squeeze_89_axes_0 = const()[name = tensor("squeeze_89_axes_0"), val = tensor([0])]; - tensor squeeze_89_cast_fp16 = squeeze(axes = squeeze_89_axes_0, x = op_3102_cast_fp16_2)[name = tensor("squeeze_89_cast_fp16")]; - tensor mul_29_y_0_to_fp16 = const()[name = tensor("mul_29_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_29_cast_fp16 = mul(x = squeeze_87_cast_fp16, y = mul_29_y_0_to_fp16)[name = tensor("mul_29_cast_fp16")]; - tensor matmul_29_transpose_y_0 = const()[name = tensor("matmul_29_transpose_y_0"), val = tensor(true)]; - tensor matmul_29_transpose_x_0 = const()[name = tensor("matmul_29_transpose_x_0"), val = tensor(false)]; - tensor matmul_29_cast_fp16 = matmul(transpose_x = matmul_29_transpose_x_0, transpose_y = matmul_29_transpose_y_0, x = mul_29_cast_fp16, y = squeeze_88_cast_fp16)[name = tensor("matmul_29_cast_fp16")]; - tensor softmax_29_axis_0 = const()[name = tensor("softmax_29_axis_0"), val = tensor(-1)]; - tensor softmax_29_cast_fp16 = softmax(axis = softmax_29_axis_0, x = matmul_29_cast_fp16)[name = tensor("softmax_29_cast_fp16")]; - tensor x_253_transpose_x_0 = const()[name = tensor("x_253_transpose_x_0"), val = tensor(false)]; - tensor x_253_transpose_y_0 = const()[name = tensor("x_253_transpose_y_0"), val = tensor(false)]; - tensor x_253_cast_fp16 = matmul(transpose_x = x_253_transpose_x_0, transpose_y = x_253_transpose_y_0, x = softmax_29_cast_fp16, y = squeeze_89_cast_fp16)[name = tensor("x_253_cast_fp16")]; - tensor var_3107_perm_0 = const()[name = tensor("op_3107_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3108 = const()[name = tensor("op_3108"), val = tensor([1, 577, 1024])]; - tensor transpose_41_cast_fp16 = transpose(perm = var_3107_perm_0, x = x_253_cast_fp16)[name = tensor("transpose_41")]; - tensor input_531_cast_fp16 = reshape(shape = var_3108, x = transpose_41_cast_fp16)[name = tensor("input_531_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(742572992)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(744670208)))]; - tensor linear_117_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_attn_proj_weight_to_fp16, x = input_531_cast_fp16)[name = tensor("linear_117_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(744672320)))]; - tensor op_3115_cast_fp16 = mul(x = linear_117_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_ls1_gamma_to_fp16)[name = tensor("op_3115_cast_fp16")]; - tensor input_535_cast_fp16 = add(x = input_529_cast_fp16, y = op_3115_cast_fp16)[name = tensor("input_535_cast_fp16")]; - tensor input_537_axes_0 = const()[name = tensor("input_537_axes_0"), val = tensor([-1])]; - tensor input_537_cast_fp16 = layer_norm(axes = input_537_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_5_norm2_weight_to_fp16, x = input_535_cast_fp16)[name = tensor("input_537_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(744674432)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(753063104)))]; - tensor linear_118_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_mlp_fc1_weight_to_fp16, x = input_537_cast_fp16)[name = tensor("linear_118_cast_fp16")]; - tensor input_541_mode_0 = const()[name = tensor("input_541_mode_0"), val = tensor("EXACT")]; - tensor input_541_cast_fp16 = gelu(mode = input_541_mode_0, x = linear_118_cast_fp16)[name = tensor("input_541_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(753071360)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(761460032)))]; - tensor linear_119_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_mlp_fc2_weight_to_fp16, x = input_541_cast_fp16)[name = tensor("linear_119_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(761462144)))]; - tensor op_3133_cast_fp16 = mul(x = linear_119_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_5_ls2_gamma_to_fp16)[name = tensor("op_3133_cast_fp16")]; - tensor input_547_cast_fp16 = add(x = input_535_cast_fp16, y = op_3133_cast_fp16)[name = tensor("input_547_cast_fp16")]; - tensor x_259_axes_0 = const()[name = tensor("x_259_axes_0"), val = tensor([-1])]; - tensor x_259_cast_fp16 = layer_norm(axes = x_259_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_norm1_weight_to_fp16, x = input_547_cast_fp16)[name = tensor("x_259_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(761464256)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(767755776)))]; - tensor linear_120_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_attn_qkv_weight_to_fp16, x = x_259_cast_fp16)[name = tensor("linear_120_cast_fp16")]; - tensor var_3153 = const()[name = tensor("op_3153"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3154_cast_fp16 = reshape(shape = var_3153, x = linear_120_cast_fp16)[name = tensor("op_3154_cast_fp16")]; - tensor var_3155 = const()[name = tensor("op_3155"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3157_split_sizes_0 = const()[name = tensor("op_3157_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3157_axis_0 = const()[name = tensor("op_3157_axis_0"), val = tensor(0)]; - tensor transpose_40_cast_fp16 = transpose(perm = var_3155, x = op_3154_cast_fp16)[name = tensor("transpose_40")]; - tensor op_3157_cast_fp16_0, tensor op_3157_cast_fp16_1, tensor op_3157_cast_fp16_2 = split(axis = var_3157_axis_0, split_sizes = var_3157_split_sizes_0, x = transpose_40_cast_fp16)[name = tensor("op_3157_cast_fp16")]; - tensor squeeze_90_axes_0 = const()[name = tensor("squeeze_90_axes_0"), val = tensor([0])]; - tensor squeeze_90_cast_fp16 = squeeze(axes = squeeze_90_axes_0, x = op_3157_cast_fp16_0)[name = tensor("squeeze_90_cast_fp16")]; - tensor squeeze_91_axes_0 = const()[name = tensor("squeeze_91_axes_0"), val = tensor([0])]; - tensor squeeze_91_cast_fp16 = squeeze(axes = squeeze_91_axes_0, x = op_3157_cast_fp16_1)[name = tensor("squeeze_91_cast_fp16")]; - tensor squeeze_92_axes_0 = const()[name = tensor("squeeze_92_axes_0"), val = tensor([0])]; - tensor squeeze_92_cast_fp16 = squeeze(axes = squeeze_92_axes_0, x = op_3157_cast_fp16_2)[name = tensor("squeeze_92_cast_fp16")]; - tensor mul_30_y_0_to_fp16 = const()[name = tensor("mul_30_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_30_cast_fp16 = mul(x = squeeze_90_cast_fp16, y = mul_30_y_0_to_fp16)[name = tensor("mul_30_cast_fp16")]; - tensor matmul_30_transpose_y_0 = const()[name = tensor("matmul_30_transpose_y_0"), val = tensor(true)]; - tensor matmul_30_transpose_x_0 = const()[name = tensor("matmul_30_transpose_x_0"), val = tensor(false)]; - tensor matmul_30_cast_fp16 = matmul(transpose_x = matmul_30_transpose_x_0, transpose_y = matmul_30_transpose_y_0, x = mul_30_cast_fp16, y = squeeze_91_cast_fp16)[name = tensor("matmul_30_cast_fp16")]; - tensor softmax_30_axis_0 = const()[name = tensor("softmax_30_axis_0"), val = tensor(-1)]; - tensor softmax_30_cast_fp16 = softmax(axis = softmax_30_axis_0, x = matmul_30_cast_fp16)[name = tensor("softmax_30_cast_fp16")]; - tensor x_261_transpose_x_0 = const()[name = tensor("x_261_transpose_x_0"), val = tensor(false)]; - tensor x_261_transpose_y_0 = const()[name = tensor("x_261_transpose_y_0"), val = tensor(false)]; - tensor x_261_cast_fp16 = matmul(transpose_x = x_261_transpose_x_0, transpose_y = x_261_transpose_y_0, x = softmax_30_cast_fp16, y = squeeze_92_cast_fp16)[name = tensor("x_261_cast_fp16")]; - tensor var_3162_perm_0 = const()[name = tensor("op_3162_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3163 = const()[name = tensor("op_3163"), val = tensor([1, 577, 1024])]; - tensor transpose_39_cast_fp16 = transpose(perm = var_3162_perm_0, x = x_261_cast_fp16)[name = tensor("transpose_39")]; - tensor input_549_cast_fp16 = reshape(shape = var_3163, x = transpose_39_cast_fp16)[name = tensor("input_549_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(767761984)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(769859200)))]; - tensor linear_121_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_attn_proj_weight_to_fp16, x = input_549_cast_fp16)[name = tensor("linear_121_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(769861312)))]; - tensor op_3170_cast_fp16 = mul(x = linear_121_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_ls1_gamma_to_fp16)[name = tensor("op_3170_cast_fp16")]; - tensor input_553_cast_fp16 = add(x = input_547_cast_fp16, y = op_3170_cast_fp16)[name = tensor("input_553_cast_fp16")]; - tensor input_555_axes_0 = const()[name = tensor("input_555_axes_0"), val = tensor([-1])]; - tensor input_555_cast_fp16 = layer_norm(axes = input_555_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_6_norm2_weight_to_fp16, x = input_553_cast_fp16)[name = tensor("input_555_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(769863424)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(778252096)))]; - tensor linear_122_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_mlp_fc1_weight_to_fp16, x = input_555_cast_fp16)[name = tensor("linear_122_cast_fp16")]; - tensor input_559_mode_0 = const()[name = tensor("input_559_mode_0"), val = tensor("EXACT")]; - tensor input_559_cast_fp16 = gelu(mode = input_559_mode_0, x = linear_122_cast_fp16)[name = tensor("input_559_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(778260352)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(786649024)))]; - tensor linear_123_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_mlp_fc2_weight_to_fp16, x = input_559_cast_fp16)[name = tensor("linear_123_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(786651136)))]; - tensor op_3188_cast_fp16 = mul(x = linear_123_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_6_ls2_gamma_to_fp16)[name = tensor("op_3188_cast_fp16")]; - tensor input_565_cast_fp16 = add(x = input_553_cast_fp16, y = op_3188_cast_fp16)[name = tensor("input_565_cast_fp16")]; - tensor x_267_axes_0 = const()[name = tensor("x_267_axes_0"), val = tensor([-1])]; - tensor x_267_cast_fp16 = layer_norm(axes = x_267_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_norm1_weight_to_fp16, x = input_565_cast_fp16)[name = tensor("x_267_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(786653248)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(792944768)))]; - tensor linear_124_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_attn_qkv_weight_to_fp16, x = x_267_cast_fp16)[name = tensor("linear_124_cast_fp16")]; - tensor var_3208 = const()[name = tensor("op_3208"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3209_cast_fp16 = reshape(shape = var_3208, x = linear_124_cast_fp16)[name = tensor("op_3209_cast_fp16")]; - tensor var_3210 = const()[name = tensor("op_3210"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3212_split_sizes_0 = const()[name = tensor("op_3212_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3212_axis_0 = const()[name = tensor("op_3212_axis_0"), val = tensor(0)]; - tensor transpose_38_cast_fp16 = transpose(perm = var_3210, x = op_3209_cast_fp16)[name = tensor("transpose_38")]; - tensor op_3212_cast_fp16_0, tensor op_3212_cast_fp16_1, tensor op_3212_cast_fp16_2 = split(axis = var_3212_axis_0, split_sizes = var_3212_split_sizes_0, x = transpose_38_cast_fp16)[name = tensor("op_3212_cast_fp16")]; - tensor squeeze_93_axes_0 = const()[name = tensor("squeeze_93_axes_0"), val = tensor([0])]; - tensor squeeze_93_cast_fp16 = squeeze(axes = squeeze_93_axes_0, x = op_3212_cast_fp16_0)[name = tensor("squeeze_93_cast_fp16")]; - tensor squeeze_94_axes_0 = const()[name = tensor("squeeze_94_axes_0"), val = tensor([0])]; - tensor squeeze_94_cast_fp16 = squeeze(axes = squeeze_94_axes_0, x = op_3212_cast_fp16_1)[name = tensor("squeeze_94_cast_fp16")]; - tensor squeeze_95_axes_0 = const()[name = tensor("squeeze_95_axes_0"), val = tensor([0])]; - tensor squeeze_95_cast_fp16 = squeeze(axes = squeeze_95_axes_0, x = op_3212_cast_fp16_2)[name = tensor("squeeze_95_cast_fp16")]; - tensor mul_31_y_0_to_fp16 = const()[name = tensor("mul_31_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_31_cast_fp16 = mul(x = squeeze_93_cast_fp16, y = mul_31_y_0_to_fp16)[name = tensor("mul_31_cast_fp16")]; - tensor matmul_31_transpose_y_0 = const()[name = tensor("matmul_31_transpose_y_0"), val = tensor(true)]; - tensor matmul_31_transpose_x_0 = const()[name = tensor("matmul_31_transpose_x_0"), val = tensor(false)]; - tensor matmul_31_cast_fp16 = matmul(transpose_x = matmul_31_transpose_x_0, transpose_y = matmul_31_transpose_y_0, x = mul_31_cast_fp16, y = squeeze_94_cast_fp16)[name = tensor("matmul_31_cast_fp16")]; - tensor softmax_31_axis_0 = const()[name = tensor("softmax_31_axis_0"), val = tensor(-1)]; - tensor softmax_31_cast_fp16 = softmax(axis = softmax_31_axis_0, x = matmul_31_cast_fp16)[name = tensor("softmax_31_cast_fp16")]; - tensor x_269_transpose_x_0 = const()[name = tensor("x_269_transpose_x_0"), val = tensor(false)]; - tensor x_269_transpose_y_0 = const()[name = tensor("x_269_transpose_y_0"), val = tensor(false)]; - tensor x_269_cast_fp16 = matmul(transpose_x = x_269_transpose_x_0, transpose_y = x_269_transpose_y_0, x = softmax_31_cast_fp16, y = squeeze_95_cast_fp16)[name = tensor("x_269_cast_fp16")]; - tensor var_3217_perm_0 = const()[name = tensor("op_3217_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3218 = const()[name = tensor("op_3218"), val = tensor([1, 577, 1024])]; - tensor transpose_37_cast_fp16 = transpose(perm = var_3217_perm_0, x = x_269_cast_fp16)[name = tensor("transpose_37")]; - tensor input_567_cast_fp16 = reshape(shape = var_3218, x = transpose_37_cast_fp16)[name = tensor("input_567_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(792950976)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(795048192)))]; - tensor linear_125_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_attn_proj_weight_to_fp16, x = input_567_cast_fp16)[name = tensor("linear_125_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(795050304)))]; - tensor op_3225_cast_fp16 = mul(x = linear_125_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_ls1_gamma_to_fp16)[name = tensor("op_3225_cast_fp16")]; - tensor input_571_cast_fp16 = add(x = input_565_cast_fp16, y = op_3225_cast_fp16)[name = tensor("input_571_cast_fp16")]; - tensor input_573_axes_0 = const()[name = tensor("input_573_axes_0"), val = tensor([-1])]; - tensor input_573_cast_fp16 = layer_norm(axes = input_573_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_7_norm2_weight_to_fp16, x = input_571_cast_fp16)[name = tensor("input_573_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(795052416)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(803441088)))]; - tensor linear_126_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_mlp_fc1_weight_to_fp16, x = input_573_cast_fp16)[name = tensor("linear_126_cast_fp16")]; - tensor input_577_mode_0 = const()[name = tensor("input_577_mode_0"), val = tensor("EXACT")]; - tensor input_577_cast_fp16 = gelu(mode = input_577_mode_0, x = linear_126_cast_fp16)[name = tensor("input_577_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(803449344)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(811838016)))]; - tensor linear_127_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_mlp_fc2_weight_to_fp16, x = input_577_cast_fp16)[name = tensor("linear_127_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(811840128)))]; - tensor op_3243_cast_fp16 = mul(x = linear_127_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_7_ls2_gamma_to_fp16)[name = tensor("op_3243_cast_fp16")]; - tensor input_583_cast_fp16 = add(x = input_571_cast_fp16, y = op_3243_cast_fp16)[name = tensor("input_583_cast_fp16")]; - tensor x_275_axes_0 = const()[name = tensor("x_275_axes_0"), val = tensor([-1])]; - tensor x_275_cast_fp16 = layer_norm(axes = x_275_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_norm1_weight_to_fp16, x = input_583_cast_fp16)[name = tensor("x_275_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(811842240)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(818133760)))]; - tensor linear_128_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_attn_qkv_weight_to_fp16, x = x_275_cast_fp16)[name = tensor("linear_128_cast_fp16")]; - tensor var_3263 = const()[name = tensor("op_3263"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3264_cast_fp16 = reshape(shape = var_3263, x = linear_128_cast_fp16)[name = tensor("op_3264_cast_fp16")]; - tensor var_3265 = const()[name = tensor("op_3265"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3267_split_sizes_0 = const()[name = tensor("op_3267_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3267_axis_0 = const()[name = tensor("op_3267_axis_0"), val = tensor(0)]; - tensor transpose_36_cast_fp16 = transpose(perm = var_3265, x = op_3264_cast_fp16)[name = tensor("transpose_36")]; - tensor op_3267_cast_fp16_0, tensor op_3267_cast_fp16_1, tensor op_3267_cast_fp16_2 = split(axis = var_3267_axis_0, split_sizes = var_3267_split_sizes_0, x = transpose_36_cast_fp16)[name = tensor("op_3267_cast_fp16")]; - tensor squeeze_96_axes_0 = const()[name = tensor("squeeze_96_axes_0"), val = tensor([0])]; - tensor squeeze_96_cast_fp16 = squeeze(axes = squeeze_96_axes_0, x = op_3267_cast_fp16_0)[name = tensor("squeeze_96_cast_fp16")]; - tensor squeeze_97_axes_0 = const()[name = tensor("squeeze_97_axes_0"), val = tensor([0])]; - tensor squeeze_97_cast_fp16 = squeeze(axes = squeeze_97_axes_0, x = op_3267_cast_fp16_1)[name = tensor("squeeze_97_cast_fp16")]; - tensor squeeze_98_axes_0 = const()[name = tensor("squeeze_98_axes_0"), val = tensor([0])]; - tensor squeeze_98_cast_fp16 = squeeze(axes = squeeze_98_axes_0, x = op_3267_cast_fp16_2)[name = tensor("squeeze_98_cast_fp16")]; - tensor mul_32_y_0_to_fp16 = const()[name = tensor("mul_32_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_32_cast_fp16 = mul(x = squeeze_96_cast_fp16, y = mul_32_y_0_to_fp16)[name = tensor("mul_32_cast_fp16")]; - tensor matmul_32_transpose_y_0 = const()[name = tensor("matmul_32_transpose_y_0"), val = tensor(true)]; - tensor matmul_32_transpose_x_0 = const()[name = tensor("matmul_32_transpose_x_0"), val = tensor(false)]; - tensor matmul_32_cast_fp16 = matmul(transpose_x = matmul_32_transpose_x_0, transpose_y = matmul_32_transpose_y_0, x = mul_32_cast_fp16, y = squeeze_97_cast_fp16)[name = tensor("matmul_32_cast_fp16")]; - tensor softmax_32_axis_0 = const()[name = tensor("softmax_32_axis_0"), val = tensor(-1)]; - tensor softmax_32_cast_fp16 = softmax(axis = softmax_32_axis_0, x = matmul_32_cast_fp16)[name = tensor("softmax_32_cast_fp16")]; - tensor x_277_transpose_x_0 = const()[name = tensor("x_277_transpose_x_0"), val = tensor(false)]; - tensor x_277_transpose_y_0 = const()[name = tensor("x_277_transpose_y_0"), val = tensor(false)]; - tensor x_277_cast_fp16 = matmul(transpose_x = x_277_transpose_x_0, transpose_y = x_277_transpose_y_0, x = softmax_32_cast_fp16, y = squeeze_98_cast_fp16)[name = tensor("x_277_cast_fp16")]; - tensor var_3272_perm_0 = const()[name = tensor("op_3272_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3273 = const()[name = tensor("op_3273"), val = tensor([1, 577, 1024])]; - tensor transpose_35_cast_fp16 = transpose(perm = var_3272_perm_0, x = x_277_cast_fp16)[name = tensor("transpose_35")]; - tensor input_585_cast_fp16 = reshape(shape = var_3273, x = transpose_35_cast_fp16)[name = tensor("input_585_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(818139968)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(820237184)))]; - tensor linear_129_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_attn_proj_weight_to_fp16, x = input_585_cast_fp16)[name = tensor("linear_129_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(820239296)))]; - tensor op_3280_cast_fp16 = mul(x = linear_129_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_ls1_gamma_to_fp16)[name = tensor("op_3280_cast_fp16")]; - tensor input_589_cast_fp16 = add(x = input_583_cast_fp16, y = op_3280_cast_fp16)[name = tensor("input_589_cast_fp16")]; - tensor input_591_axes_0 = const()[name = tensor("input_591_axes_0"), val = tensor([-1])]; - tensor input_591_cast_fp16 = layer_norm(axes = input_591_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_8_norm2_weight_to_fp16, x = input_589_cast_fp16)[name = tensor("input_591_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(820241408)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(828630080)))]; - tensor linear_130_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_mlp_fc1_weight_to_fp16, x = input_591_cast_fp16)[name = tensor("linear_130_cast_fp16")]; - tensor input_595_mode_0 = const()[name = tensor("input_595_mode_0"), val = tensor("EXACT")]; - tensor input_595_cast_fp16 = gelu(mode = input_595_mode_0, x = linear_130_cast_fp16)[name = tensor("input_595_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(828638336)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(837027008)))]; - tensor linear_131_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_mlp_fc2_weight_to_fp16, x = input_595_cast_fp16)[name = tensor("linear_131_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(837029120)))]; - tensor op_3298_cast_fp16 = mul(x = linear_131_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_8_ls2_gamma_to_fp16)[name = tensor("op_3298_cast_fp16")]; - tensor input_601_cast_fp16 = add(x = input_589_cast_fp16, y = op_3298_cast_fp16)[name = tensor("input_601_cast_fp16")]; - tensor x_283_axes_0 = const()[name = tensor("x_283_axes_0"), val = tensor([-1])]; - tensor x_283_cast_fp16 = layer_norm(axes = x_283_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_norm1_weight_to_fp16, x = input_601_cast_fp16)[name = tensor("x_283_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(837031232)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(843322752)))]; - tensor linear_132_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_attn_qkv_weight_to_fp16, x = x_283_cast_fp16)[name = tensor("linear_132_cast_fp16")]; - tensor var_3318 = const()[name = tensor("op_3318"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3319_cast_fp16 = reshape(shape = var_3318, x = linear_132_cast_fp16)[name = tensor("op_3319_cast_fp16")]; - tensor var_3320 = const()[name = tensor("op_3320"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3322_split_sizes_0 = const()[name = tensor("op_3322_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3322_axis_0 = const()[name = tensor("op_3322_axis_0"), val = tensor(0)]; - tensor transpose_34_cast_fp16 = transpose(perm = var_3320, x = op_3319_cast_fp16)[name = tensor("transpose_34")]; - tensor op_3322_cast_fp16_0, tensor op_3322_cast_fp16_1, tensor op_3322_cast_fp16_2 = split(axis = var_3322_axis_0, split_sizes = var_3322_split_sizes_0, x = transpose_34_cast_fp16)[name = tensor("op_3322_cast_fp16")]; - tensor squeeze_99_axes_0 = const()[name = tensor("squeeze_99_axes_0"), val = tensor([0])]; - tensor squeeze_99_cast_fp16 = squeeze(axes = squeeze_99_axes_0, x = op_3322_cast_fp16_0)[name = tensor("squeeze_99_cast_fp16")]; - tensor squeeze_100_axes_0 = const()[name = tensor("squeeze_100_axes_0"), val = tensor([0])]; - tensor squeeze_100_cast_fp16 = squeeze(axes = squeeze_100_axes_0, x = op_3322_cast_fp16_1)[name = tensor("squeeze_100_cast_fp16")]; - tensor squeeze_101_axes_0 = const()[name = tensor("squeeze_101_axes_0"), val = tensor([0])]; - tensor squeeze_101_cast_fp16 = squeeze(axes = squeeze_101_axes_0, x = op_3322_cast_fp16_2)[name = tensor("squeeze_101_cast_fp16")]; - tensor mul_33_y_0_to_fp16 = const()[name = tensor("mul_33_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_33_cast_fp16 = mul(x = squeeze_99_cast_fp16, y = mul_33_y_0_to_fp16)[name = tensor("mul_33_cast_fp16")]; - tensor matmul_33_transpose_y_0 = const()[name = tensor("matmul_33_transpose_y_0"), val = tensor(true)]; - tensor matmul_33_transpose_x_0 = const()[name = tensor("matmul_33_transpose_x_0"), val = tensor(false)]; - tensor matmul_33_cast_fp16 = matmul(transpose_x = matmul_33_transpose_x_0, transpose_y = matmul_33_transpose_y_0, x = mul_33_cast_fp16, y = squeeze_100_cast_fp16)[name = tensor("matmul_33_cast_fp16")]; - tensor softmax_33_axis_0 = const()[name = tensor("softmax_33_axis_0"), val = tensor(-1)]; - tensor softmax_33_cast_fp16 = softmax(axis = softmax_33_axis_0, x = matmul_33_cast_fp16)[name = tensor("softmax_33_cast_fp16")]; - tensor x_285_transpose_x_0 = const()[name = tensor("x_285_transpose_x_0"), val = tensor(false)]; - tensor x_285_transpose_y_0 = const()[name = tensor("x_285_transpose_y_0"), val = tensor(false)]; - tensor x_285_cast_fp16 = matmul(transpose_x = x_285_transpose_x_0, transpose_y = x_285_transpose_y_0, x = softmax_33_cast_fp16, y = squeeze_101_cast_fp16)[name = tensor("x_285_cast_fp16")]; - tensor var_3327_perm_0 = const()[name = tensor("op_3327_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3328 = const()[name = tensor("op_3328"), val = tensor([1, 577, 1024])]; - tensor transpose_33_cast_fp16 = transpose(perm = var_3327_perm_0, x = x_285_cast_fp16)[name = tensor("transpose_33")]; - tensor input_603_cast_fp16 = reshape(shape = var_3328, x = transpose_33_cast_fp16)[name = tensor("input_603_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(843328960)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(845426176)))]; - tensor linear_133_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_attn_proj_weight_to_fp16, x = input_603_cast_fp16)[name = tensor("linear_133_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(845428288)))]; - tensor op_3335_cast_fp16 = mul(x = linear_133_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_ls1_gamma_to_fp16)[name = tensor("op_3335_cast_fp16")]; - tensor input_607_cast_fp16 = add(x = input_601_cast_fp16, y = op_3335_cast_fp16)[name = tensor("input_607_cast_fp16")]; - tensor input_609_axes_0 = const()[name = tensor("input_609_axes_0"), val = tensor([-1])]; - tensor input_609_cast_fp16 = layer_norm(axes = input_609_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_9_norm2_weight_to_fp16, x = input_607_cast_fp16)[name = tensor("input_609_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(845430400)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(853819072)))]; - tensor linear_134_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_mlp_fc1_weight_to_fp16, x = input_609_cast_fp16)[name = tensor("linear_134_cast_fp16")]; - tensor input_613_mode_0 = const()[name = tensor("input_613_mode_0"), val = tensor("EXACT")]; - tensor input_613_cast_fp16 = gelu(mode = input_613_mode_0, x = linear_134_cast_fp16)[name = tensor("input_613_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(853827328)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(862216000)))]; - tensor linear_135_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_mlp_fc2_weight_to_fp16, x = input_613_cast_fp16)[name = tensor("linear_135_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(862218112)))]; - tensor op_3353_cast_fp16 = mul(x = linear_135_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_9_ls2_gamma_to_fp16)[name = tensor("op_3353_cast_fp16")]; - tensor input_619_cast_fp16 = add(x = input_607_cast_fp16, y = op_3353_cast_fp16)[name = tensor("input_619_cast_fp16")]; - tensor x_291_axes_0 = const()[name = tensor("x_291_axes_0"), val = tensor([-1])]; - tensor x_291_cast_fp16 = layer_norm(axes = x_291_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_norm1_weight_to_fp16, x = input_619_cast_fp16)[name = tensor("x_291_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(862220224)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(868511744)))]; - tensor linear_136_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_attn_qkv_weight_to_fp16, x = x_291_cast_fp16)[name = tensor("linear_136_cast_fp16")]; - tensor var_3373 = const()[name = tensor("op_3373"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3374_cast_fp16 = reshape(shape = var_3373, x = linear_136_cast_fp16)[name = tensor("op_3374_cast_fp16")]; - tensor var_3375 = const()[name = tensor("op_3375"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3377_split_sizes_0 = const()[name = tensor("op_3377_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3377_axis_0 = const()[name = tensor("op_3377_axis_0"), val = tensor(0)]; - tensor transpose_32_cast_fp16 = transpose(perm = var_3375, x = op_3374_cast_fp16)[name = tensor("transpose_32")]; - tensor op_3377_cast_fp16_0, tensor op_3377_cast_fp16_1, tensor op_3377_cast_fp16_2 = split(axis = var_3377_axis_0, split_sizes = var_3377_split_sizes_0, x = transpose_32_cast_fp16)[name = tensor("op_3377_cast_fp16")]; - tensor squeeze_102_axes_0 = const()[name = tensor("squeeze_102_axes_0"), val = tensor([0])]; - tensor squeeze_102_cast_fp16 = squeeze(axes = squeeze_102_axes_0, x = op_3377_cast_fp16_0)[name = tensor("squeeze_102_cast_fp16")]; - tensor squeeze_103_axes_0 = const()[name = tensor("squeeze_103_axes_0"), val = tensor([0])]; - tensor squeeze_103_cast_fp16 = squeeze(axes = squeeze_103_axes_0, x = op_3377_cast_fp16_1)[name = tensor("squeeze_103_cast_fp16")]; - tensor squeeze_104_axes_0 = const()[name = tensor("squeeze_104_axes_0"), val = tensor([0])]; - tensor squeeze_104_cast_fp16 = squeeze(axes = squeeze_104_axes_0, x = op_3377_cast_fp16_2)[name = tensor("squeeze_104_cast_fp16")]; - tensor mul_34_y_0_to_fp16 = const()[name = tensor("mul_34_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_34_cast_fp16 = mul(x = squeeze_102_cast_fp16, y = mul_34_y_0_to_fp16)[name = tensor("mul_34_cast_fp16")]; - tensor matmul_34_transpose_y_0 = const()[name = tensor("matmul_34_transpose_y_0"), val = tensor(true)]; - tensor matmul_34_transpose_x_0 = const()[name = tensor("matmul_34_transpose_x_0"), val = tensor(false)]; - tensor matmul_34_cast_fp16 = matmul(transpose_x = matmul_34_transpose_x_0, transpose_y = matmul_34_transpose_y_0, x = mul_34_cast_fp16, y = squeeze_103_cast_fp16)[name = tensor("matmul_34_cast_fp16")]; - tensor softmax_34_axis_0 = const()[name = tensor("softmax_34_axis_0"), val = tensor(-1)]; - tensor softmax_34_cast_fp16 = softmax(axis = softmax_34_axis_0, x = matmul_34_cast_fp16)[name = tensor("softmax_34_cast_fp16")]; - tensor x_293_transpose_x_0 = const()[name = tensor("x_293_transpose_x_0"), val = tensor(false)]; - tensor x_293_transpose_y_0 = const()[name = tensor("x_293_transpose_y_0"), val = tensor(false)]; - tensor x_293_cast_fp16 = matmul(transpose_x = x_293_transpose_x_0, transpose_y = x_293_transpose_y_0, x = softmax_34_cast_fp16, y = squeeze_104_cast_fp16)[name = tensor("x_293_cast_fp16")]; - tensor var_3382_perm_0 = const()[name = tensor("op_3382_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3383 = const()[name = tensor("op_3383"), val = tensor([1, 577, 1024])]; - tensor transpose_31_cast_fp16 = transpose(perm = var_3382_perm_0, x = x_293_cast_fp16)[name = tensor("transpose_31")]; - tensor input_621_cast_fp16 = reshape(shape = var_3383, x = transpose_31_cast_fp16)[name = tensor("input_621_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(868517952)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(870615168)))]; - tensor linear_137_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_attn_proj_weight_to_fp16, x = input_621_cast_fp16)[name = tensor("linear_137_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(870617280)))]; - tensor op_3390_cast_fp16 = mul(x = linear_137_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_ls1_gamma_to_fp16)[name = tensor("op_3390_cast_fp16")]; - tensor input_625_cast_fp16 = add(x = input_619_cast_fp16, y = op_3390_cast_fp16)[name = tensor("input_625_cast_fp16")]; - tensor input_627_axes_0 = const()[name = tensor("input_627_axes_0"), val = tensor([-1])]; - tensor input_627_cast_fp16 = layer_norm(axes = input_627_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_10_norm2_weight_to_fp16, x = input_625_cast_fp16)[name = tensor("input_627_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(870619392)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(879008064)))]; - tensor linear_138_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_mlp_fc1_weight_to_fp16, x = input_627_cast_fp16)[name = tensor("linear_138_cast_fp16")]; - tensor input_631_mode_0 = const()[name = tensor("input_631_mode_0"), val = tensor("EXACT")]; - tensor input_631_cast_fp16 = gelu(mode = input_631_mode_0, x = linear_138_cast_fp16)[name = tensor("input_631_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(879016320)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(887404992)))]; - tensor linear_139_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_mlp_fc2_weight_to_fp16, x = input_631_cast_fp16)[name = tensor("linear_139_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(887407104)))]; - tensor op_3408_cast_fp16 = mul(x = linear_139_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_10_ls2_gamma_to_fp16)[name = tensor("op_3408_cast_fp16")]; - tensor input_637_cast_fp16 = add(x = input_625_cast_fp16, y = op_3408_cast_fp16)[name = tensor("input_637_cast_fp16")]; - tensor x_299_axes_0 = const()[name = tensor("x_299_axes_0"), val = tensor([-1])]; - tensor x_299_cast_fp16 = layer_norm(axes = x_299_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_norm1_weight_to_fp16, x = input_637_cast_fp16)[name = tensor("x_299_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(887409216)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(893700736)))]; - tensor linear_140_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_attn_qkv_weight_to_fp16, x = x_299_cast_fp16)[name = tensor("linear_140_cast_fp16")]; - tensor var_3428 = const()[name = tensor("op_3428"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3429_cast_fp16 = reshape(shape = var_3428, x = linear_140_cast_fp16)[name = tensor("op_3429_cast_fp16")]; - tensor var_3430 = const()[name = tensor("op_3430"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3432_split_sizes_0 = const()[name = tensor("op_3432_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3432_axis_0 = const()[name = tensor("op_3432_axis_0"), val = tensor(0)]; - tensor transpose_30_cast_fp16 = transpose(perm = var_3430, x = op_3429_cast_fp16)[name = tensor("transpose_30")]; - tensor op_3432_cast_fp16_0, tensor op_3432_cast_fp16_1, tensor op_3432_cast_fp16_2 = split(axis = var_3432_axis_0, split_sizes = var_3432_split_sizes_0, x = transpose_30_cast_fp16)[name = tensor("op_3432_cast_fp16")]; - tensor squeeze_105_axes_0 = const()[name = tensor("squeeze_105_axes_0"), val = tensor([0])]; - tensor squeeze_105_cast_fp16 = squeeze(axes = squeeze_105_axes_0, x = op_3432_cast_fp16_0)[name = tensor("squeeze_105_cast_fp16")]; - tensor squeeze_106_axes_0 = const()[name = tensor("squeeze_106_axes_0"), val = tensor([0])]; - tensor squeeze_106_cast_fp16 = squeeze(axes = squeeze_106_axes_0, x = op_3432_cast_fp16_1)[name = tensor("squeeze_106_cast_fp16")]; - tensor squeeze_107_axes_0 = const()[name = tensor("squeeze_107_axes_0"), val = tensor([0])]; - tensor squeeze_107_cast_fp16 = squeeze(axes = squeeze_107_axes_0, x = op_3432_cast_fp16_2)[name = tensor("squeeze_107_cast_fp16")]; - tensor mul_35_y_0_to_fp16 = const()[name = tensor("mul_35_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_35_cast_fp16 = mul(x = squeeze_105_cast_fp16, y = mul_35_y_0_to_fp16)[name = tensor("mul_35_cast_fp16")]; - tensor matmul_35_transpose_y_0 = const()[name = tensor("matmul_35_transpose_y_0"), val = tensor(true)]; - tensor matmul_35_transpose_x_0 = const()[name = tensor("matmul_35_transpose_x_0"), val = tensor(false)]; - tensor matmul_35_cast_fp16 = matmul(transpose_x = matmul_35_transpose_x_0, transpose_y = matmul_35_transpose_y_0, x = mul_35_cast_fp16, y = squeeze_106_cast_fp16)[name = tensor("matmul_35_cast_fp16")]; - tensor softmax_35_axis_0 = const()[name = tensor("softmax_35_axis_0"), val = tensor(-1)]; - tensor softmax_35_cast_fp16 = softmax(axis = softmax_35_axis_0, x = matmul_35_cast_fp16)[name = tensor("softmax_35_cast_fp16")]; - tensor x_301_transpose_x_0 = const()[name = tensor("x_301_transpose_x_0"), val = tensor(false)]; - tensor x_301_transpose_y_0 = const()[name = tensor("x_301_transpose_y_0"), val = tensor(false)]; - tensor x_301_cast_fp16 = matmul(transpose_x = x_301_transpose_x_0, transpose_y = x_301_transpose_y_0, x = softmax_35_cast_fp16, y = squeeze_107_cast_fp16)[name = tensor("x_301_cast_fp16")]; - tensor var_3437_perm_0 = const()[name = tensor("op_3437_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3438 = const()[name = tensor("op_3438"), val = tensor([1, 577, 1024])]; - tensor transpose_29_cast_fp16 = transpose(perm = var_3437_perm_0, x = x_301_cast_fp16)[name = tensor("transpose_29")]; - tensor input_639_cast_fp16 = reshape(shape = var_3438, x = transpose_29_cast_fp16)[name = tensor("input_639_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(893706944)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(895804160)))]; - tensor linear_141_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_attn_proj_weight_to_fp16, x = input_639_cast_fp16)[name = tensor("linear_141_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(895806272)))]; - tensor op_3445_cast_fp16 = mul(x = linear_141_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_ls1_gamma_to_fp16)[name = tensor("op_3445_cast_fp16")]; - tensor input_643_cast_fp16 = add(x = input_637_cast_fp16, y = op_3445_cast_fp16)[name = tensor("input_643_cast_fp16")]; - tensor input_645_axes_0 = const()[name = tensor("input_645_axes_0"), val = tensor([-1])]; - tensor input_645_cast_fp16 = layer_norm(axes = input_645_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_11_norm2_weight_to_fp16, x = input_643_cast_fp16)[name = tensor("input_645_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(895808384)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(904197056)))]; - tensor linear_142_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_mlp_fc1_weight_to_fp16, x = input_645_cast_fp16)[name = tensor("linear_142_cast_fp16")]; - tensor input_649_mode_0 = const()[name = tensor("input_649_mode_0"), val = tensor("EXACT")]; - tensor input_649_cast_fp16 = gelu(mode = input_649_mode_0, x = linear_142_cast_fp16)[name = tensor("input_649_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(904205312)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(912593984)))]; - tensor linear_143_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_mlp_fc2_weight_to_fp16, x = input_649_cast_fp16)[name = tensor("linear_143_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(912596096)))]; - tensor op_3463_cast_fp16 = mul(x = linear_143_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_11_ls2_gamma_to_fp16)[name = tensor("op_3463_cast_fp16")]; - tensor input_655_cast_fp16 = add(x = input_643_cast_fp16, y = op_3463_cast_fp16)[name = tensor("input_655_cast_fp16")]; - tensor x_307_axes_0 = const()[name = tensor("x_307_axes_0"), val = tensor([-1])]; - tensor x_307_cast_fp16 = layer_norm(axes = x_307_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_norm1_weight_to_fp16, x = input_655_cast_fp16)[name = tensor("x_307_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(912598208)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(918889728)))]; - tensor linear_144_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_attn_qkv_weight_to_fp16, x = x_307_cast_fp16)[name = tensor("linear_144_cast_fp16")]; - tensor var_3483 = const()[name = tensor("op_3483"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3484_cast_fp16 = reshape(shape = var_3483, x = linear_144_cast_fp16)[name = tensor("op_3484_cast_fp16")]; - tensor var_3485 = const()[name = tensor("op_3485"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3487_split_sizes_0 = const()[name = tensor("op_3487_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3487_axis_0 = const()[name = tensor("op_3487_axis_0"), val = tensor(0)]; - tensor transpose_28_cast_fp16 = transpose(perm = var_3485, x = op_3484_cast_fp16)[name = tensor("transpose_28")]; - tensor op_3487_cast_fp16_0, tensor op_3487_cast_fp16_1, tensor op_3487_cast_fp16_2 = split(axis = var_3487_axis_0, split_sizes = var_3487_split_sizes_0, x = transpose_28_cast_fp16)[name = tensor("op_3487_cast_fp16")]; - tensor squeeze_108_axes_0 = const()[name = tensor("squeeze_108_axes_0"), val = tensor([0])]; - tensor squeeze_108_cast_fp16 = squeeze(axes = squeeze_108_axes_0, x = op_3487_cast_fp16_0)[name = tensor("squeeze_108_cast_fp16")]; - tensor squeeze_109_axes_0 = const()[name = tensor("squeeze_109_axes_0"), val = tensor([0])]; - tensor squeeze_109_cast_fp16 = squeeze(axes = squeeze_109_axes_0, x = op_3487_cast_fp16_1)[name = tensor("squeeze_109_cast_fp16")]; - tensor squeeze_110_axes_0 = const()[name = tensor("squeeze_110_axes_0"), val = tensor([0])]; - tensor squeeze_110_cast_fp16 = squeeze(axes = squeeze_110_axes_0, x = op_3487_cast_fp16_2)[name = tensor("squeeze_110_cast_fp16")]; - tensor mul_36_y_0_to_fp16 = const()[name = tensor("mul_36_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_36_cast_fp16 = mul(x = squeeze_108_cast_fp16, y = mul_36_y_0_to_fp16)[name = tensor("mul_36_cast_fp16")]; - tensor matmul_36_transpose_y_0 = const()[name = tensor("matmul_36_transpose_y_0"), val = tensor(true)]; - tensor matmul_36_transpose_x_0 = const()[name = tensor("matmul_36_transpose_x_0"), val = tensor(false)]; - tensor matmul_36_cast_fp16 = matmul(transpose_x = matmul_36_transpose_x_0, transpose_y = matmul_36_transpose_y_0, x = mul_36_cast_fp16, y = squeeze_109_cast_fp16)[name = tensor("matmul_36_cast_fp16")]; - tensor softmax_36_axis_0 = const()[name = tensor("softmax_36_axis_0"), val = tensor(-1)]; - tensor softmax_36_cast_fp16 = softmax(axis = softmax_36_axis_0, x = matmul_36_cast_fp16)[name = tensor("softmax_36_cast_fp16")]; - tensor x_309_transpose_x_0 = const()[name = tensor("x_309_transpose_x_0"), val = tensor(false)]; - tensor x_309_transpose_y_0 = const()[name = tensor("x_309_transpose_y_0"), val = tensor(false)]; - tensor x_309_cast_fp16 = matmul(transpose_x = x_309_transpose_x_0, transpose_y = x_309_transpose_y_0, x = softmax_36_cast_fp16, y = squeeze_110_cast_fp16)[name = tensor("x_309_cast_fp16")]; - tensor var_3492_perm_0 = const()[name = tensor("op_3492_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3493 = const()[name = tensor("op_3493"), val = tensor([1, 577, 1024])]; - tensor transpose_27_cast_fp16 = transpose(perm = var_3492_perm_0, x = x_309_cast_fp16)[name = tensor("transpose_27")]; - tensor input_657_cast_fp16 = reshape(shape = var_3493, x = transpose_27_cast_fp16)[name = tensor("input_657_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(918895936)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(920993152)))]; - tensor linear_145_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_attn_proj_weight_to_fp16, x = input_657_cast_fp16)[name = tensor("linear_145_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(920995264)))]; - tensor op_3500_cast_fp16 = mul(x = linear_145_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_ls1_gamma_to_fp16)[name = tensor("op_3500_cast_fp16")]; - tensor input_661_cast_fp16 = add(x = input_655_cast_fp16, y = op_3500_cast_fp16)[name = tensor("input_661_cast_fp16")]; - tensor input_663_axes_0 = const()[name = tensor("input_663_axes_0"), val = tensor([-1])]; - tensor input_663_cast_fp16 = layer_norm(axes = input_663_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_12_norm2_weight_to_fp16, x = input_661_cast_fp16)[name = tensor("input_663_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(920997376)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(929386048)))]; - tensor linear_146_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_mlp_fc1_weight_to_fp16, x = input_663_cast_fp16)[name = tensor("linear_146_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 = linear_146_cast_fp16)[name = tensor("input_667_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(929394304)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(937782976)))]; - tensor linear_147_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_mlp_fc2_weight_to_fp16, x = input_667_cast_fp16)[name = tensor("linear_147_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(937785088)))]; - tensor op_3518_cast_fp16 = mul(x = linear_147_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_12_ls2_gamma_to_fp16)[name = tensor("op_3518_cast_fp16")]; - tensor input_673_cast_fp16 = add(x = input_661_cast_fp16, y = op_3518_cast_fp16)[name = tensor("input_673_cast_fp16")]; - tensor x_315_axes_0 = const()[name = tensor("x_315_axes_0"), val = tensor([-1])]; - tensor x_315_cast_fp16 = layer_norm(axes = x_315_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_norm1_weight_to_fp16, x = input_673_cast_fp16)[name = tensor("x_315_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(937787200)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(944078720)))]; - tensor linear_148_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_attn_qkv_weight_to_fp16, x = x_315_cast_fp16)[name = tensor("linear_148_cast_fp16")]; - tensor var_3538 = const()[name = tensor("op_3538"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3539_cast_fp16 = reshape(shape = var_3538, x = linear_148_cast_fp16)[name = tensor("op_3539_cast_fp16")]; - tensor var_3540 = const()[name = tensor("op_3540"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3542_split_sizes_0 = const()[name = tensor("op_3542_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3542_axis_0 = const()[name = tensor("op_3542_axis_0"), val = tensor(0)]; - tensor transpose_26_cast_fp16 = transpose(perm = var_3540, x = op_3539_cast_fp16)[name = tensor("transpose_26")]; - tensor op_3542_cast_fp16_0, tensor op_3542_cast_fp16_1, tensor op_3542_cast_fp16_2 = split(axis = var_3542_axis_0, split_sizes = var_3542_split_sizes_0, x = transpose_26_cast_fp16)[name = tensor("op_3542_cast_fp16")]; - tensor squeeze_111_axes_0 = const()[name = tensor("squeeze_111_axes_0"), val = tensor([0])]; - tensor squeeze_111_cast_fp16 = squeeze(axes = squeeze_111_axes_0, x = op_3542_cast_fp16_0)[name = tensor("squeeze_111_cast_fp16")]; - tensor squeeze_112_axes_0 = const()[name = tensor("squeeze_112_axes_0"), val = tensor([0])]; - tensor squeeze_112_cast_fp16 = squeeze(axes = squeeze_112_axes_0, x = op_3542_cast_fp16_1)[name = tensor("squeeze_112_cast_fp16")]; - tensor squeeze_113_axes_0 = const()[name = tensor("squeeze_113_axes_0"), val = tensor([0])]; - tensor squeeze_113_cast_fp16 = squeeze(axes = squeeze_113_axes_0, x = op_3542_cast_fp16_2)[name = tensor("squeeze_113_cast_fp16")]; - tensor mul_37_y_0_to_fp16 = const()[name = tensor("mul_37_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_37_cast_fp16 = mul(x = squeeze_111_cast_fp16, y = mul_37_y_0_to_fp16)[name = tensor("mul_37_cast_fp16")]; - tensor matmul_37_transpose_y_0 = const()[name = tensor("matmul_37_transpose_y_0"), val = tensor(true)]; - tensor matmul_37_transpose_x_0 = const()[name = tensor("matmul_37_transpose_x_0"), val = tensor(false)]; - tensor matmul_37_cast_fp16 = matmul(transpose_x = matmul_37_transpose_x_0, transpose_y = matmul_37_transpose_y_0, x = mul_37_cast_fp16, y = squeeze_112_cast_fp16)[name = tensor("matmul_37_cast_fp16")]; - tensor softmax_37_axis_0 = const()[name = tensor("softmax_37_axis_0"), val = tensor(-1)]; - tensor softmax_37_cast_fp16 = softmax(axis = softmax_37_axis_0, x = matmul_37_cast_fp16)[name = tensor("softmax_37_cast_fp16")]; - tensor x_317_transpose_x_0 = const()[name = tensor("x_317_transpose_x_0"), val = tensor(false)]; - tensor x_317_transpose_y_0 = const()[name = tensor("x_317_transpose_y_0"), val = tensor(false)]; - tensor x_317_cast_fp16 = matmul(transpose_x = x_317_transpose_x_0, transpose_y = x_317_transpose_y_0, x = softmax_37_cast_fp16, y = squeeze_113_cast_fp16)[name = tensor("x_317_cast_fp16")]; - tensor var_3547_perm_0 = const()[name = tensor("op_3547_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3548 = const()[name = tensor("op_3548"), val = tensor([1, 577, 1024])]; - tensor transpose_25_cast_fp16 = transpose(perm = var_3547_perm_0, x = x_317_cast_fp16)[name = tensor("transpose_25")]; - tensor input_675_cast_fp16 = reshape(shape = var_3548, x = transpose_25_cast_fp16)[name = tensor("input_675_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(944084928)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(946182144)))]; - tensor linear_149_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_attn_proj_weight_to_fp16, x = input_675_cast_fp16)[name = tensor("linear_149_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(946184256)))]; - tensor op_3555_cast_fp16 = mul(x = linear_149_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_ls1_gamma_to_fp16)[name = tensor("op_3555_cast_fp16")]; - tensor input_679_cast_fp16 = add(x = input_673_cast_fp16, y = op_3555_cast_fp16)[name = tensor("input_679_cast_fp16")]; - tensor input_681_axes_0 = const()[name = tensor("input_681_axes_0"), val = tensor([-1])]; - tensor input_681_cast_fp16 = layer_norm(axes = input_681_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_13_norm2_weight_to_fp16, x = input_679_cast_fp16)[name = tensor("input_681_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(946186368)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(954575040)))]; - tensor linear_150_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_mlp_fc1_weight_to_fp16, x = input_681_cast_fp16)[name = tensor("linear_150_cast_fp16")]; - tensor input_685_mode_0 = const()[name = tensor("input_685_mode_0"), val = tensor("EXACT")]; - tensor input_685_cast_fp16 = gelu(mode = input_685_mode_0, x = linear_150_cast_fp16)[name = tensor("input_685_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(954583296)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(962971968)))]; - tensor linear_151_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_mlp_fc2_weight_to_fp16, x = input_685_cast_fp16)[name = tensor("linear_151_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(962974080)))]; - tensor op_3573_cast_fp16 = mul(x = linear_151_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_13_ls2_gamma_to_fp16)[name = tensor("op_3573_cast_fp16")]; - tensor input_691_cast_fp16 = add(x = input_679_cast_fp16, y = op_3573_cast_fp16)[name = tensor("input_691_cast_fp16")]; - tensor x_323_axes_0 = const()[name = tensor("x_323_axes_0"), val = tensor([-1])]; - tensor x_323_cast_fp16 = layer_norm(axes = x_323_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_norm1_weight_to_fp16, x = input_691_cast_fp16)[name = tensor("x_323_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(962976192)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(969267712)))]; - tensor linear_152_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_attn_qkv_weight_to_fp16, x = x_323_cast_fp16)[name = tensor("linear_152_cast_fp16")]; - tensor var_3593 = const()[name = tensor("op_3593"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3594_cast_fp16 = reshape(shape = var_3593, x = linear_152_cast_fp16)[name = tensor("op_3594_cast_fp16")]; - tensor var_3595 = const()[name = tensor("op_3595"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3597_split_sizes_0 = const()[name = tensor("op_3597_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3597_axis_0 = const()[name = tensor("op_3597_axis_0"), val = tensor(0)]; - tensor transpose_24_cast_fp16 = transpose(perm = var_3595, x = op_3594_cast_fp16)[name = tensor("transpose_24")]; - tensor op_3597_cast_fp16_0, tensor op_3597_cast_fp16_1, tensor op_3597_cast_fp16_2 = split(axis = var_3597_axis_0, split_sizes = var_3597_split_sizes_0, x = transpose_24_cast_fp16)[name = tensor("op_3597_cast_fp16")]; - tensor squeeze_114_axes_0 = const()[name = tensor("squeeze_114_axes_0"), val = tensor([0])]; - tensor squeeze_114_cast_fp16 = squeeze(axes = squeeze_114_axes_0, x = op_3597_cast_fp16_0)[name = tensor("squeeze_114_cast_fp16")]; - tensor squeeze_115_axes_0 = const()[name = tensor("squeeze_115_axes_0"), val = tensor([0])]; - tensor squeeze_115_cast_fp16 = squeeze(axes = squeeze_115_axes_0, x = op_3597_cast_fp16_1)[name = tensor("squeeze_115_cast_fp16")]; - tensor squeeze_116_axes_0 = const()[name = tensor("squeeze_116_axes_0"), val = tensor([0])]; - tensor squeeze_116_cast_fp16 = squeeze(axes = squeeze_116_axes_0, x = op_3597_cast_fp16_2)[name = tensor("squeeze_116_cast_fp16")]; - tensor mul_38_y_0_to_fp16 = const()[name = tensor("mul_38_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_38_cast_fp16 = mul(x = squeeze_114_cast_fp16, y = mul_38_y_0_to_fp16)[name = tensor("mul_38_cast_fp16")]; - tensor matmul_38_transpose_y_0 = const()[name = tensor("matmul_38_transpose_y_0"), val = tensor(true)]; - tensor matmul_38_transpose_x_0 = const()[name = tensor("matmul_38_transpose_x_0"), val = tensor(false)]; - tensor matmul_38_cast_fp16 = matmul(transpose_x = matmul_38_transpose_x_0, transpose_y = matmul_38_transpose_y_0, x = mul_38_cast_fp16, y = squeeze_115_cast_fp16)[name = tensor("matmul_38_cast_fp16")]; - tensor softmax_38_axis_0 = const()[name = tensor("softmax_38_axis_0"), val = tensor(-1)]; - tensor softmax_38_cast_fp16 = softmax(axis = softmax_38_axis_0, x = matmul_38_cast_fp16)[name = tensor("softmax_38_cast_fp16")]; - tensor x_325_transpose_x_0 = const()[name = tensor("x_325_transpose_x_0"), val = tensor(false)]; - tensor x_325_transpose_y_0 = const()[name = tensor("x_325_transpose_y_0"), val = tensor(false)]; - tensor x_325_cast_fp16 = matmul(transpose_x = x_325_transpose_x_0, transpose_y = x_325_transpose_y_0, x = softmax_38_cast_fp16, y = squeeze_116_cast_fp16)[name = tensor("x_325_cast_fp16")]; - tensor var_3602_perm_0 = const()[name = tensor("op_3602_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3603 = const()[name = tensor("op_3603"), val = tensor([1, 577, 1024])]; - tensor transpose_23_cast_fp16 = transpose(perm = var_3602_perm_0, x = x_325_cast_fp16)[name = tensor("transpose_23")]; - tensor input_693_cast_fp16 = reshape(shape = var_3603, x = transpose_23_cast_fp16)[name = tensor("input_693_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(969273920)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(971371136)))]; - tensor linear_153_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_attn_proj_weight_to_fp16, x = input_693_cast_fp16)[name = tensor("linear_153_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(971373248)))]; - tensor op_3610_cast_fp16 = mul(x = linear_153_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_ls1_gamma_to_fp16)[name = tensor("op_3610_cast_fp16")]; - tensor input_697_cast_fp16 = add(x = input_691_cast_fp16, y = op_3610_cast_fp16)[name = tensor("input_697_cast_fp16")]; - tensor input_699_axes_0 = const()[name = tensor("input_699_axes_0"), val = tensor([-1])]; - tensor input_699_cast_fp16 = layer_norm(axes = input_699_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_14_norm2_weight_to_fp16, x = input_697_cast_fp16)[name = tensor("input_699_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(971375360)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(979764032)))]; - tensor linear_154_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_mlp_fc1_weight_to_fp16, x = input_699_cast_fp16)[name = tensor("linear_154_cast_fp16")]; - tensor input_703_mode_0 = const()[name = tensor("input_703_mode_0"), val = tensor("EXACT")]; - tensor input_703_cast_fp16 = gelu(mode = input_703_mode_0, x = linear_154_cast_fp16)[name = tensor("input_703_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(979772288)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(988160960)))]; - tensor linear_155_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_mlp_fc2_weight_to_fp16, x = input_703_cast_fp16)[name = tensor("linear_155_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(988163072)))]; - tensor op_3628_cast_fp16 = mul(x = linear_155_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_14_ls2_gamma_to_fp16)[name = tensor("op_3628_cast_fp16")]; - tensor input_709_cast_fp16 = add(x = input_697_cast_fp16, y = op_3628_cast_fp16)[name = tensor("input_709_cast_fp16")]; - tensor x_331_axes_0 = const()[name = tensor("x_331_axes_0"), val = tensor([-1])]; - tensor x_331_cast_fp16 = layer_norm(axes = x_331_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_norm1_weight_to_fp16, x = input_709_cast_fp16)[name = tensor("x_331_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(988165184)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(994456704)))]; - tensor linear_156_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_attn_qkv_weight_to_fp16, x = x_331_cast_fp16)[name = tensor("linear_156_cast_fp16")]; - tensor var_3648 = const()[name = tensor("op_3648"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3649_cast_fp16 = reshape(shape = var_3648, x = linear_156_cast_fp16)[name = tensor("op_3649_cast_fp16")]; - tensor var_3650 = const()[name = tensor("op_3650"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3652_split_sizes_0 = const()[name = tensor("op_3652_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3652_axis_0 = const()[name = tensor("op_3652_axis_0"), val = tensor(0)]; - tensor transpose_22_cast_fp16 = transpose(perm = var_3650, x = op_3649_cast_fp16)[name = tensor("transpose_22")]; - tensor op_3652_cast_fp16_0, tensor op_3652_cast_fp16_1, tensor op_3652_cast_fp16_2 = split(axis = var_3652_axis_0, split_sizes = var_3652_split_sizes_0, x = transpose_22_cast_fp16)[name = tensor("op_3652_cast_fp16")]; - tensor squeeze_117_axes_0 = const()[name = tensor("squeeze_117_axes_0"), val = tensor([0])]; - tensor squeeze_117_cast_fp16 = squeeze(axes = squeeze_117_axes_0, x = op_3652_cast_fp16_0)[name = tensor("squeeze_117_cast_fp16")]; - tensor squeeze_118_axes_0 = const()[name = tensor("squeeze_118_axes_0"), val = tensor([0])]; - tensor squeeze_118_cast_fp16 = squeeze(axes = squeeze_118_axes_0, x = op_3652_cast_fp16_1)[name = tensor("squeeze_118_cast_fp16")]; - tensor squeeze_119_axes_0 = const()[name = tensor("squeeze_119_axes_0"), val = tensor([0])]; - tensor squeeze_119_cast_fp16 = squeeze(axes = squeeze_119_axes_0, x = op_3652_cast_fp16_2)[name = tensor("squeeze_119_cast_fp16")]; - tensor mul_39_y_0_to_fp16 = const()[name = tensor("mul_39_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_39_cast_fp16 = mul(x = squeeze_117_cast_fp16, y = mul_39_y_0_to_fp16)[name = tensor("mul_39_cast_fp16")]; - tensor matmul_39_transpose_y_0 = const()[name = tensor("matmul_39_transpose_y_0"), val = tensor(true)]; - tensor matmul_39_transpose_x_0 = const()[name = tensor("matmul_39_transpose_x_0"), val = tensor(false)]; - tensor matmul_39_cast_fp16 = matmul(transpose_x = matmul_39_transpose_x_0, transpose_y = matmul_39_transpose_y_0, x = mul_39_cast_fp16, y = squeeze_118_cast_fp16)[name = tensor("matmul_39_cast_fp16")]; - tensor softmax_39_axis_0 = const()[name = tensor("softmax_39_axis_0"), val = tensor(-1)]; - tensor softmax_39_cast_fp16 = softmax(axis = softmax_39_axis_0, x = matmul_39_cast_fp16)[name = tensor("softmax_39_cast_fp16")]; - tensor x_333_transpose_x_0 = const()[name = tensor("x_333_transpose_x_0"), val = tensor(false)]; - tensor x_333_transpose_y_0 = const()[name = tensor("x_333_transpose_y_0"), val = tensor(false)]; - tensor x_333_cast_fp16 = matmul(transpose_x = x_333_transpose_x_0, transpose_y = x_333_transpose_y_0, x = softmax_39_cast_fp16, y = squeeze_119_cast_fp16)[name = tensor("x_333_cast_fp16")]; - tensor var_3657_perm_0 = const()[name = tensor("op_3657_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3658 = const()[name = tensor("op_3658"), val = tensor([1, 577, 1024])]; - tensor transpose_21_cast_fp16 = transpose(perm = var_3657_perm_0, x = x_333_cast_fp16)[name = tensor("transpose_21")]; - tensor input_711_cast_fp16 = reshape(shape = var_3658, x = transpose_21_cast_fp16)[name = tensor("input_711_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(994462912)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(996560128)))]; - tensor linear_157_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_attn_proj_weight_to_fp16, x = input_711_cast_fp16)[name = tensor("linear_157_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(996562240)))]; - tensor op_3665_cast_fp16 = mul(x = linear_157_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_ls1_gamma_to_fp16)[name = tensor("op_3665_cast_fp16")]; - tensor input_715_cast_fp16 = add(x = input_709_cast_fp16, y = op_3665_cast_fp16)[name = tensor("input_715_cast_fp16")]; - tensor input_717_axes_0 = const()[name = tensor("input_717_axes_0"), val = tensor([-1])]; - tensor input_717_cast_fp16 = layer_norm(axes = input_717_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_15_norm2_weight_to_fp16, x = input_715_cast_fp16)[name = tensor("input_717_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(996564352)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1004953024)))]; - tensor linear_158_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_mlp_fc1_weight_to_fp16, x = input_717_cast_fp16)[name = tensor("linear_158_cast_fp16")]; - tensor input_721_mode_0 = const()[name = tensor("input_721_mode_0"), val = tensor("EXACT")]; - tensor input_721_cast_fp16 = gelu(mode = input_721_mode_0, x = linear_158_cast_fp16)[name = tensor("input_721_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1004961280)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1013349952)))]; - tensor linear_159_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_mlp_fc2_weight_to_fp16, x = input_721_cast_fp16)[name = tensor("linear_159_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1013352064)))]; - tensor op_3683_cast_fp16 = mul(x = linear_159_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_15_ls2_gamma_to_fp16)[name = tensor("op_3683_cast_fp16")]; - tensor input_727_cast_fp16 = add(x = input_715_cast_fp16, y = op_3683_cast_fp16)[name = tensor("input_727_cast_fp16")]; - tensor x_339_axes_0 = const()[name = tensor("x_339_axes_0"), val = tensor([-1])]; - tensor x_339_cast_fp16 = layer_norm(axes = x_339_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_norm1_weight_to_fp16, x = input_727_cast_fp16)[name = tensor("x_339_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1013354176)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1019645696)))]; - tensor linear_160_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_attn_qkv_weight_to_fp16, x = x_339_cast_fp16)[name = tensor("linear_160_cast_fp16")]; - tensor var_3703 = const()[name = tensor("op_3703"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3704_cast_fp16 = reshape(shape = var_3703, x = linear_160_cast_fp16)[name = tensor("op_3704_cast_fp16")]; - tensor var_3705 = const()[name = tensor("op_3705"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3707_split_sizes_0 = const()[name = tensor("op_3707_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3707_axis_0 = const()[name = tensor("op_3707_axis_0"), val = tensor(0)]; - tensor transpose_20_cast_fp16 = transpose(perm = var_3705, x = op_3704_cast_fp16)[name = tensor("transpose_20")]; - tensor op_3707_cast_fp16_0, tensor op_3707_cast_fp16_1, tensor op_3707_cast_fp16_2 = split(axis = var_3707_axis_0, split_sizes = var_3707_split_sizes_0, x = transpose_20_cast_fp16)[name = tensor("op_3707_cast_fp16")]; - tensor squeeze_120_axes_0 = const()[name = tensor("squeeze_120_axes_0"), val = tensor([0])]; - tensor squeeze_120_cast_fp16 = squeeze(axes = squeeze_120_axes_0, x = op_3707_cast_fp16_0)[name = tensor("squeeze_120_cast_fp16")]; - tensor squeeze_121_axes_0 = const()[name = tensor("squeeze_121_axes_0"), val = tensor([0])]; - tensor squeeze_121_cast_fp16 = squeeze(axes = squeeze_121_axes_0, x = op_3707_cast_fp16_1)[name = tensor("squeeze_121_cast_fp16")]; - tensor squeeze_122_axes_0 = const()[name = tensor("squeeze_122_axes_0"), val = tensor([0])]; - tensor squeeze_122_cast_fp16 = squeeze(axes = squeeze_122_axes_0, x = op_3707_cast_fp16_2)[name = tensor("squeeze_122_cast_fp16")]; - tensor mul_40_y_0_to_fp16 = const()[name = tensor("mul_40_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_40_cast_fp16 = mul(x = squeeze_120_cast_fp16, y = mul_40_y_0_to_fp16)[name = tensor("mul_40_cast_fp16")]; - tensor matmul_40_transpose_y_0 = const()[name = tensor("matmul_40_transpose_y_0"), val = tensor(true)]; - tensor matmul_40_transpose_x_0 = const()[name = tensor("matmul_40_transpose_x_0"), val = tensor(false)]; - tensor matmul_40_cast_fp16 = matmul(transpose_x = matmul_40_transpose_x_0, transpose_y = matmul_40_transpose_y_0, x = mul_40_cast_fp16, y = squeeze_121_cast_fp16)[name = tensor("matmul_40_cast_fp16")]; - tensor softmax_40_axis_0 = const()[name = tensor("softmax_40_axis_0"), val = tensor(-1)]; - tensor softmax_40_cast_fp16 = softmax(axis = softmax_40_axis_0, x = matmul_40_cast_fp16)[name = tensor("softmax_40_cast_fp16")]; - tensor x_341_transpose_x_0 = const()[name = tensor("x_341_transpose_x_0"), val = tensor(false)]; - tensor x_341_transpose_y_0 = const()[name = tensor("x_341_transpose_y_0"), val = tensor(false)]; - tensor x_341_cast_fp16 = matmul(transpose_x = x_341_transpose_x_0, transpose_y = x_341_transpose_y_0, x = softmax_40_cast_fp16, y = squeeze_122_cast_fp16)[name = tensor("x_341_cast_fp16")]; - tensor var_3712_perm_0 = const()[name = tensor("op_3712_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3713 = const()[name = tensor("op_3713"), val = tensor([1, 577, 1024])]; - tensor transpose_19_cast_fp16 = transpose(perm = var_3712_perm_0, x = x_341_cast_fp16)[name = tensor("transpose_19")]; - tensor input_729_cast_fp16 = reshape(shape = var_3713, x = transpose_19_cast_fp16)[name = tensor("input_729_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1019651904)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1021749120)))]; - tensor linear_161_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_attn_proj_weight_to_fp16, x = input_729_cast_fp16)[name = tensor("linear_161_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1021751232)))]; - tensor op_3720_cast_fp16 = mul(x = linear_161_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_ls1_gamma_to_fp16)[name = tensor("op_3720_cast_fp16")]; - tensor input_733_cast_fp16 = add(x = input_727_cast_fp16, y = op_3720_cast_fp16)[name = tensor("input_733_cast_fp16")]; - tensor input_735_axes_0 = const()[name = tensor("input_735_axes_0"), val = tensor([-1])]; - tensor input_735_cast_fp16 = layer_norm(axes = input_735_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_16_norm2_weight_to_fp16, x = input_733_cast_fp16)[name = tensor("input_735_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1021753344)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1030142016)))]; - tensor linear_162_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_mlp_fc1_weight_to_fp16, x = input_735_cast_fp16)[name = tensor("linear_162_cast_fp16")]; - tensor input_739_mode_0 = const()[name = tensor("input_739_mode_0"), val = tensor("EXACT")]; - tensor input_739_cast_fp16 = gelu(mode = input_739_mode_0, x = linear_162_cast_fp16)[name = tensor("input_739_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1030150272)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1038538944)))]; - tensor linear_163_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_mlp_fc2_weight_to_fp16, x = input_739_cast_fp16)[name = tensor("linear_163_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1038541056)))]; - tensor op_3738_cast_fp16 = mul(x = linear_163_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_16_ls2_gamma_to_fp16)[name = tensor("op_3738_cast_fp16")]; - tensor input_745_cast_fp16 = add(x = input_733_cast_fp16, y = op_3738_cast_fp16)[name = tensor("input_745_cast_fp16")]; - tensor x_347_axes_0 = const()[name = tensor("x_347_axes_0"), val = tensor([-1])]; - tensor x_347_cast_fp16 = layer_norm(axes = x_347_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_norm1_weight_to_fp16, x = input_745_cast_fp16)[name = tensor("x_347_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1038543168)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1044834688)))]; - tensor linear_164_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_attn_qkv_weight_to_fp16, x = x_347_cast_fp16)[name = tensor("linear_164_cast_fp16")]; - tensor var_3758 = const()[name = tensor("op_3758"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3759_cast_fp16 = reshape(shape = var_3758, x = linear_164_cast_fp16)[name = tensor("op_3759_cast_fp16")]; - tensor var_3760 = const()[name = tensor("op_3760"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3762_split_sizes_0 = const()[name = tensor("op_3762_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3762_axis_0 = const()[name = tensor("op_3762_axis_0"), val = tensor(0)]; - tensor transpose_18_cast_fp16 = transpose(perm = var_3760, x = op_3759_cast_fp16)[name = tensor("transpose_18")]; - tensor op_3762_cast_fp16_0, tensor op_3762_cast_fp16_1, tensor op_3762_cast_fp16_2 = split(axis = var_3762_axis_0, split_sizes = var_3762_split_sizes_0, x = transpose_18_cast_fp16)[name = tensor("op_3762_cast_fp16")]; - tensor squeeze_123_axes_0 = const()[name = tensor("squeeze_123_axes_0"), val = tensor([0])]; - tensor squeeze_123_cast_fp16 = squeeze(axes = squeeze_123_axes_0, x = op_3762_cast_fp16_0)[name = tensor("squeeze_123_cast_fp16")]; - tensor squeeze_124_axes_0 = const()[name = tensor("squeeze_124_axes_0"), val = tensor([0])]; - tensor squeeze_124_cast_fp16 = squeeze(axes = squeeze_124_axes_0, x = op_3762_cast_fp16_1)[name = tensor("squeeze_124_cast_fp16")]; - tensor squeeze_125_axes_0 = const()[name = tensor("squeeze_125_axes_0"), val = tensor([0])]; - tensor squeeze_125_cast_fp16 = squeeze(axes = squeeze_125_axes_0, x = op_3762_cast_fp16_2)[name = tensor("squeeze_125_cast_fp16")]; - tensor mul_41_y_0_to_fp16 = const()[name = tensor("mul_41_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_41_cast_fp16 = mul(x = squeeze_123_cast_fp16, y = mul_41_y_0_to_fp16)[name = tensor("mul_41_cast_fp16")]; - tensor matmul_41_transpose_y_0 = const()[name = tensor("matmul_41_transpose_y_0"), val = tensor(true)]; - tensor matmul_41_transpose_x_0 = const()[name = tensor("matmul_41_transpose_x_0"), val = tensor(false)]; - tensor matmul_41_cast_fp16 = matmul(transpose_x = matmul_41_transpose_x_0, transpose_y = matmul_41_transpose_y_0, x = mul_41_cast_fp16, y = squeeze_124_cast_fp16)[name = tensor("matmul_41_cast_fp16")]; - tensor softmax_41_axis_0 = const()[name = tensor("softmax_41_axis_0"), val = tensor(-1)]; - tensor softmax_41_cast_fp16 = softmax(axis = softmax_41_axis_0, x = matmul_41_cast_fp16)[name = tensor("softmax_41_cast_fp16")]; - tensor x_349_transpose_x_0 = const()[name = tensor("x_349_transpose_x_0"), val = tensor(false)]; - tensor x_349_transpose_y_0 = const()[name = tensor("x_349_transpose_y_0"), val = tensor(false)]; - tensor x_349_cast_fp16 = matmul(transpose_x = x_349_transpose_x_0, transpose_y = x_349_transpose_y_0, x = softmax_41_cast_fp16, y = squeeze_125_cast_fp16)[name = tensor("x_349_cast_fp16")]; - tensor var_3767_perm_0 = const()[name = tensor("op_3767_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3768 = const()[name = tensor("op_3768"), val = tensor([1, 577, 1024])]; - tensor transpose_17_cast_fp16 = transpose(perm = var_3767_perm_0, x = x_349_cast_fp16)[name = tensor("transpose_17")]; - tensor input_747_cast_fp16 = reshape(shape = var_3768, x = transpose_17_cast_fp16)[name = tensor("input_747_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1044840896)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1046938112)))]; - tensor linear_165_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_attn_proj_weight_to_fp16, x = input_747_cast_fp16)[name = tensor("linear_165_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1046940224)))]; - tensor op_3775_cast_fp16 = mul(x = linear_165_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_ls1_gamma_to_fp16)[name = tensor("op_3775_cast_fp16")]; - tensor input_751_cast_fp16 = add(x = input_745_cast_fp16, y = op_3775_cast_fp16)[name = tensor("input_751_cast_fp16")]; - tensor input_753_axes_0 = const()[name = tensor("input_753_axes_0"), val = tensor([-1])]; - tensor input_753_cast_fp16 = layer_norm(axes = input_753_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_17_norm2_weight_to_fp16, x = input_751_cast_fp16)[name = tensor("input_753_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1046942336)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1055331008)))]; - tensor linear_166_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_mlp_fc1_weight_to_fp16, x = input_753_cast_fp16)[name = tensor("linear_166_cast_fp16")]; - tensor input_757_mode_0 = const()[name = tensor("input_757_mode_0"), val = tensor("EXACT")]; - tensor input_757_cast_fp16 = gelu(mode = input_757_mode_0, x = linear_166_cast_fp16)[name = tensor("input_757_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1055339264)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1063727936)))]; - tensor linear_167_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_mlp_fc2_weight_to_fp16, x = input_757_cast_fp16)[name = tensor("linear_167_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1063730048)))]; - tensor op_3793_cast_fp16 = mul(x = linear_167_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_17_ls2_gamma_to_fp16)[name = tensor("op_3793_cast_fp16")]; - tensor input_763_cast_fp16 = add(x = input_751_cast_fp16, y = op_3793_cast_fp16)[name = tensor("input_763_cast_fp16")]; - tensor x_355_axes_0 = const()[name = tensor("x_355_axes_0"), val = tensor([-1])]; - tensor x_355_cast_fp16 = layer_norm(axes = x_355_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_norm1_weight_to_fp16, x = input_763_cast_fp16)[name = tensor("x_355_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1063732160)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1070023680)))]; - tensor linear_168_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_attn_qkv_weight_to_fp16, x = x_355_cast_fp16)[name = tensor("linear_168_cast_fp16")]; - tensor var_3813 = const()[name = tensor("op_3813"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3814_cast_fp16 = reshape(shape = var_3813, x = linear_168_cast_fp16)[name = tensor("op_3814_cast_fp16")]; - tensor var_3815 = const()[name = tensor("op_3815"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3817_split_sizes_0 = const()[name = tensor("op_3817_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3817_axis_0 = const()[name = tensor("op_3817_axis_0"), val = tensor(0)]; - tensor transpose_16_cast_fp16 = transpose(perm = var_3815, x = op_3814_cast_fp16)[name = tensor("transpose_16")]; - tensor op_3817_cast_fp16_0, tensor op_3817_cast_fp16_1, tensor op_3817_cast_fp16_2 = split(axis = var_3817_axis_0, split_sizes = var_3817_split_sizes_0, x = transpose_16_cast_fp16)[name = tensor("op_3817_cast_fp16")]; - tensor squeeze_126_axes_0 = const()[name = tensor("squeeze_126_axes_0"), val = tensor([0])]; - tensor squeeze_126_cast_fp16 = squeeze(axes = squeeze_126_axes_0, x = op_3817_cast_fp16_0)[name = tensor("squeeze_126_cast_fp16")]; - tensor squeeze_127_axes_0 = const()[name = tensor("squeeze_127_axes_0"), val = tensor([0])]; - tensor squeeze_127_cast_fp16 = squeeze(axes = squeeze_127_axes_0, x = op_3817_cast_fp16_1)[name = tensor("squeeze_127_cast_fp16")]; - tensor squeeze_128_axes_0 = const()[name = tensor("squeeze_128_axes_0"), val = tensor([0])]; - tensor squeeze_128_cast_fp16 = squeeze(axes = squeeze_128_axes_0, x = op_3817_cast_fp16_2)[name = tensor("squeeze_128_cast_fp16")]; - tensor mul_42_y_0_to_fp16 = const()[name = tensor("mul_42_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_42_cast_fp16 = mul(x = squeeze_126_cast_fp16, y = mul_42_y_0_to_fp16)[name = tensor("mul_42_cast_fp16")]; - tensor matmul_42_transpose_y_0 = const()[name = tensor("matmul_42_transpose_y_0"), val = tensor(true)]; - tensor matmul_42_transpose_x_0 = const()[name = tensor("matmul_42_transpose_x_0"), val = tensor(false)]; - tensor matmul_42_cast_fp16 = matmul(transpose_x = matmul_42_transpose_x_0, transpose_y = matmul_42_transpose_y_0, x = mul_42_cast_fp16, y = squeeze_127_cast_fp16)[name = tensor("matmul_42_cast_fp16")]; - tensor softmax_42_axis_0 = const()[name = tensor("softmax_42_axis_0"), val = tensor(-1)]; - tensor softmax_42_cast_fp16 = softmax(axis = softmax_42_axis_0, x = matmul_42_cast_fp16)[name = tensor("softmax_42_cast_fp16")]; - tensor x_357_transpose_x_0 = const()[name = tensor("x_357_transpose_x_0"), val = tensor(false)]; - tensor x_357_transpose_y_0 = const()[name = tensor("x_357_transpose_y_0"), val = tensor(false)]; - tensor x_357_cast_fp16 = matmul(transpose_x = x_357_transpose_x_0, transpose_y = x_357_transpose_y_0, x = softmax_42_cast_fp16, y = squeeze_128_cast_fp16)[name = tensor("x_357_cast_fp16")]; - tensor var_3822_perm_0 = const()[name = tensor("op_3822_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3823 = const()[name = tensor("op_3823"), val = tensor([1, 577, 1024])]; - tensor transpose_15_cast_fp16 = transpose(perm = var_3822_perm_0, x = x_357_cast_fp16)[name = tensor("transpose_15")]; - tensor input_765_cast_fp16 = reshape(shape = var_3823, x = transpose_15_cast_fp16)[name = tensor("input_765_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1070029888)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1072127104)))]; - tensor linear_169_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_attn_proj_weight_to_fp16, x = input_765_cast_fp16)[name = tensor("linear_169_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1072129216)))]; - tensor op_3830_cast_fp16 = mul(x = linear_169_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_ls1_gamma_to_fp16)[name = tensor("op_3830_cast_fp16")]; - tensor input_769_cast_fp16 = add(x = input_763_cast_fp16, y = op_3830_cast_fp16)[name = tensor("input_769_cast_fp16")]; - tensor input_771_axes_0 = const()[name = tensor("input_771_axes_0"), val = tensor([-1])]; - tensor input_771_cast_fp16 = layer_norm(axes = input_771_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_18_norm2_weight_to_fp16, x = input_769_cast_fp16)[name = tensor("input_771_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1072131328)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1080520000)))]; - tensor linear_170_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_mlp_fc1_weight_to_fp16, x = input_771_cast_fp16)[name = tensor("linear_170_cast_fp16")]; - tensor input_775_mode_0 = const()[name = tensor("input_775_mode_0"), val = tensor("EXACT")]; - tensor input_775_cast_fp16 = gelu(mode = input_775_mode_0, x = linear_170_cast_fp16)[name = tensor("input_775_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1080528256)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1088916928)))]; - tensor linear_171_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_mlp_fc2_weight_to_fp16, x = input_775_cast_fp16)[name = tensor("linear_171_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1088919040)))]; - tensor op_3848_cast_fp16 = mul(x = linear_171_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_18_ls2_gamma_to_fp16)[name = tensor("op_3848_cast_fp16")]; - tensor input_781_cast_fp16 = add(x = input_769_cast_fp16, y = op_3848_cast_fp16)[name = tensor("input_781_cast_fp16")]; - tensor x_363_axes_0 = const()[name = tensor("x_363_axes_0"), val = tensor([-1])]; - tensor x_363_cast_fp16 = layer_norm(axes = x_363_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_norm1_weight_to_fp16, x = input_781_cast_fp16)[name = tensor("x_363_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1088921152)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1095212672)))]; - tensor linear_172_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_attn_qkv_weight_to_fp16, x = x_363_cast_fp16)[name = tensor("linear_172_cast_fp16")]; - tensor var_3868 = const()[name = tensor("op_3868"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3869_cast_fp16 = reshape(shape = var_3868, x = linear_172_cast_fp16)[name = tensor("op_3869_cast_fp16")]; - tensor var_3870 = const()[name = tensor("op_3870"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3872_split_sizes_0 = const()[name = tensor("op_3872_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3872_axis_0 = const()[name = tensor("op_3872_axis_0"), val = tensor(0)]; - tensor transpose_14_cast_fp16 = transpose(perm = var_3870, x = op_3869_cast_fp16)[name = tensor("transpose_14")]; - tensor op_3872_cast_fp16_0, tensor op_3872_cast_fp16_1, tensor op_3872_cast_fp16_2 = split(axis = var_3872_axis_0, split_sizes = var_3872_split_sizes_0, x = transpose_14_cast_fp16)[name = tensor("op_3872_cast_fp16")]; - tensor squeeze_129_axes_0 = const()[name = tensor("squeeze_129_axes_0"), val = tensor([0])]; - tensor squeeze_129_cast_fp16 = squeeze(axes = squeeze_129_axes_0, x = op_3872_cast_fp16_0)[name = tensor("squeeze_129_cast_fp16")]; - tensor squeeze_130_axes_0 = const()[name = tensor("squeeze_130_axes_0"), val = tensor([0])]; - tensor squeeze_130_cast_fp16 = squeeze(axes = squeeze_130_axes_0, x = op_3872_cast_fp16_1)[name = tensor("squeeze_130_cast_fp16")]; - tensor squeeze_131_axes_0 = const()[name = tensor("squeeze_131_axes_0"), val = tensor([0])]; - tensor squeeze_131_cast_fp16 = squeeze(axes = squeeze_131_axes_0, x = op_3872_cast_fp16_2)[name = tensor("squeeze_131_cast_fp16")]; - tensor mul_43_y_0_to_fp16 = const()[name = tensor("mul_43_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_43_cast_fp16 = mul(x = squeeze_129_cast_fp16, y = mul_43_y_0_to_fp16)[name = tensor("mul_43_cast_fp16")]; - tensor matmul_43_transpose_y_0 = const()[name = tensor("matmul_43_transpose_y_0"), val = tensor(true)]; - tensor matmul_43_transpose_x_0 = const()[name = tensor("matmul_43_transpose_x_0"), val = tensor(false)]; - tensor matmul_43_cast_fp16 = matmul(transpose_x = matmul_43_transpose_x_0, transpose_y = matmul_43_transpose_y_0, x = mul_43_cast_fp16, y = squeeze_130_cast_fp16)[name = tensor("matmul_43_cast_fp16")]; - tensor softmax_43_axis_0 = const()[name = tensor("softmax_43_axis_0"), val = tensor(-1)]; - tensor softmax_43_cast_fp16 = softmax(axis = softmax_43_axis_0, x = matmul_43_cast_fp16)[name = tensor("softmax_43_cast_fp16")]; - tensor x_365_transpose_x_0 = const()[name = tensor("x_365_transpose_x_0"), val = tensor(false)]; - tensor x_365_transpose_y_0 = const()[name = tensor("x_365_transpose_y_0"), val = tensor(false)]; - tensor x_365_cast_fp16 = matmul(transpose_x = x_365_transpose_x_0, transpose_y = x_365_transpose_y_0, x = softmax_43_cast_fp16, y = squeeze_131_cast_fp16)[name = tensor("x_365_cast_fp16")]; - tensor var_3877_perm_0 = const()[name = tensor("op_3877_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3878 = const()[name = tensor("op_3878"), val = tensor([1, 577, 1024])]; - tensor transpose_13_cast_fp16 = transpose(perm = var_3877_perm_0, x = x_365_cast_fp16)[name = tensor("transpose_13")]; - tensor input_783_cast_fp16 = reshape(shape = var_3878, x = transpose_13_cast_fp16)[name = tensor("input_783_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1095218880)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1097316096)))]; - tensor linear_173_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_attn_proj_weight_to_fp16, x = input_783_cast_fp16)[name = tensor("linear_173_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1097318208)))]; - tensor op_3885_cast_fp16 = mul(x = linear_173_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_ls1_gamma_to_fp16)[name = tensor("op_3885_cast_fp16")]; - tensor input_787_cast_fp16 = add(x = input_781_cast_fp16, y = op_3885_cast_fp16)[name = tensor("input_787_cast_fp16")]; - tensor input_789_axes_0 = const()[name = tensor("input_789_axes_0"), val = tensor([-1])]; - tensor input_789_cast_fp16 = layer_norm(axes = input_789_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_19_norm2_weight_to_fp16, x = input_787_cast_fp16)[name = tensor("input_789_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1097320320)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1105708992)))]; - tensor linear_174_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_mlp_fc1_weight_to_fp16, x = input_789_cast_fp16)[name = tensor("linear_174_cast_fp16")]; - tensor input_793_mode_0 = const()[name = tensor("input_793_mode_0"), val = tensor("EXACT")]; - tensor input_793_cast_fp16 = gelu(mode = input_793_mode_0, x = linear_174_cast_fp16)[name = tensor("input_793_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1105717248)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1114105920)))]; - tensor linear_175_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_mlp_fc2_weight_to_fp16, x = input_793_cast_fp16)[name = tensor("linear_175_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1114108032)))]; - tensor op_3903_cast_fp16 = mul(x = linear_175_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_19_ls2_gamma_to_fp16)[name = tensor("op_3903_cast_fp16")]; - tensor input_799_cast_fp16 = add(x = input_787_cast_fp16, y = op_3903_cast_fp16)[name = tensor("input_799_cast_fp16")]; - tensor x_371_axes_0 = const()[name = tensor("x_371_axes_0"), val = tensor([-1])]; - tensor x_371_cast_fp16 = layer_norm(axes = x_371_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_norm1_weight_to_fp16, x = input_799_cast_fp16)[name = tensor("x_371_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1114110144)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1120401664)))]; - tensor linear_176_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_attn_qkv_weight_to_fp16, x = x_371_cast_fp16)[name = tensor("linear_176_cast_fp16")]; - tensor var_3923 = const()[name = tensor("op_3923"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3924_cast_fp16 = reshape(shape = var_3923, x = linear_176_cast_fp16)[name = tensor("op_3924_cast_fp16")]; - tensor var_3925 = const()[name = tensor("op_3925"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3927_split_sizes_0 = const()[name = tensor("op_3927_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3927_axis_0 = const()[name = tensor("op_3927_axis_0"), val = tensor(0)]; - tensor transpose_12_cast_fp16 = transpose(perm = var_3925, x = op_3924_cast_fp16)[name = tensor("transpose_12")]; - tensor op_3927_cast_fp16_0, tensor op_3927_cast_fp16_1, tensor op_3927_cast_fp16_2 = split(axis = var_3927_axis_0, split_sizes = var_3927_split_sizes_0, x = transpose_12_cast_fp16)[name = tensor("op_3927_cast_fp16")]; - tensor squeeze_132_axes_0 = const()[name = tensor("squeeze_132_axes_0"), val = tensor([0])]; - tensor squeeze_132_cast_fp16 = squeeze(axes = squeeze_132_axes_0, x = op_3927_cast_fp16_0)[name = tensor("squeeze_132_cast_fp16")]; - tensor squeeze_133_axes_0 = const()[name = tensor("squeeze_133_axes_0"), val = tensor([0])]; - tensor squeeze_133_cast_fp16 = squeeze(axes = squeeze_133_axes_0, x = op_3927_cast_fp16_1)[name = tensor("squeeze_133_cast_fp16")]; - tensor squeeze_134_axes_0 = const()[name = tensor("squeeze_134_axes_0"), val = tensor([0])]; - tensor squeeze_134_cast_fp16 = squeeze(axes = squeeze_134_axes_0, x = op_3927_cast_fp16_2)[name = tensor("squeeze_134_cast_fp16")]; - tensor mul_44_y_0_to_fp16 = const()[name = tensor("mul_44_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_44_cast_fp16 = mul(x = squeeze_132_cast_fp16, y = mul_44_y_0_to_fp16)[name = tensor("mul_44_cast_fp16")]; - tensor matmul_44_transpose_y_0 = const()[name = tensor("matmul_44_transpose_y_0"), val = tensor(true)]; - tensor matmul_44_transpose_x_0 = const()[name = tensor("matmul_44_transpose_x_0"), val = tensor(false)]; - tensor matmul_44_cast_fp16 = matmul(transpose_x = matmul_44_transpose_x_0, transpose_y = matmul_44_transpose_y_0, x = mul_44_cast_fp16, y = squeeze_133_cast_fp16)[name = tensor("matmul_44_cast_fp16")]; - tensor softmax_44_axis_0 = const()[name = tensor("softmax_44_axis_0"), val = tensor(-1)]; - tensor softmax_44_cast_fp16 = softmax(axis = softmax_44_axis_0, x = matmul_44_cast_fp16)[name = tensor("softmax_44_cast_fp16")]; - tensor x_373_transpose_x_0 = const()[name = tensor("x_373_transpose_x_0"), val = tensor(false)]; - tensor x_373_transpose_y_0 = const()[name = tensor("x_373_transpose_y_0"), val = tensor(false)]; - tensor x_373_cast_fp16 = matmul(transpose_x = x_373_transpose_x_0, transpose_y = x_373_transpose_y_0, x = softmax_44_cast_fp16, y = squeeze_134_cast_fp16)[name = tensor("x_373_cast_fp16")]; - tensor var_3932_perm_0 = const()[name = tensor("op_3932_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3933 = const()[name = tensor("op_3933"), val = tensor([1, 577, 1024])]; - tensor transpose_11_cast_fp16 = transpose(perm = var_3932_perm_0, x = x_373_cast_fp16)[name = tensor("transpose_11")]; - tensor input_801_cast_fp16 = reshape(shape = var_3933, x = transpose_11_cast_fp16)[name = tensor("input_801_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1120407872)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1122505088)))]; - tensor linear_177_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_attn_proj_weight_to_fp16, x = input_801_cast_fp16)[name = tensor("linear_177_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1122507200)))]; - tensor op_3940_cast_fp16 = mul(x = linear_177_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_ls1_gamma_to_fp16)[name = tensor("op_3940_cast_fp16")]; - tensor input_805_cast_fp16 = add(x = input_799_cast_fp16, y = op_3940_cast_fp16)[name = tensor("input_805_cast_fp16")]; - tensor input_807_axes_0 = const()[name = tensor("input_807_axes_0"), val = tensor([-1])]; - tensor input_807_cast_fp16 = layer_norm(axes = input_807_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_20_norm2_weight_to_fp16, x = input_805_cast_fp16)[name = tensor("input_807_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1122509312)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1130897984)))]; - tensor linear_178_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_mlp_fc1_weight_to_fp16, x = input_807_cast_fp16)[name = tensor("linear_178_cast_fp16")]; - tensor input_811_mode_0 = const()[name = tensor("input_811_mode_0"), val = tensor("EXACT")]; - tensor input_811_cast_fp16 = gelu(mode = input_811_mode_0, x = linear_178_cast_fp16)[name = tensor("input_811_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1130906240)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1139294912)))]; - tensor linear_179_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_mlp_fc2_weight_to_fp16, x = input_811_cast_fp16)[name = tensor("linear_179_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1139297024)))]; - tensor op_3958_cast_fp16 = mul(x = linear_179_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_20_ls2_gamma_to_fp16)[name = tensor("op_3958_cast_fp16")]; - tensor input_817_cast_fp16 = add(x = input_805_cast_fp16, y = op_3958_cast_fp16)[name = tensor("input_817_cast_fp16")]; - tensor x_379_axes_0 = const()[name = tensor("x_379_axes_0"), val = tensor([-1])]; - tensor x_379_cast_fp16 = layer_norm(axes = x_379_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_norm1_weight_to_fp16, x = input_817_cast_fp16)[name = tensor("x_379_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1139299136)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1145590656)))]; - tensor linear_180_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_attn_qkv_weight_to_fp16, x = x_379_cast_fp16)[name = tensor("linear_180_cast_fp16")]; - tensor var_3978 = const()[name = tensor("op_3978"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_3979_cast_fp16 = reshape(shape = var_3978, x = linear_180_cast_fp16)[name = tensor("op_3979_cast_fp16")]; - tensor var_3980 = const()[name = tensor("op_3980"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_3982_split_sizes_0 = const()[name = tensor("op_3982_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_3982_axis_0 = const()[name = tensor("op_3982_axis_0"), val = tensor(0)]; - tensor transpose_10_cast_fp16 = transpose(perm = var_3980, x = op_3979_cast_fp16)[name = tensor("transpose_10")]; - tensor op_3982_cast_fp16_0, tensor op_3982_cast_fp16_1, tensor op_3982_cast_fp16_2 = split(axis = var_3982_axis_0, split_sizes = var_3982_split_sizes_0, x = transpose_10_cast_fp16)[name = tensor("op_3982_cast_fp16")]; - tensor squeeze_135_axes_0 = const()[name = tensor("squeeze_135_axes_0"), val = tensor([0])]; - tensor squeeze_135_cast_fp16 = squeeze(axes = squeeze_135_axes_0, x = op_3982_cast_fp16_0)[name = tensor("squeeze_135_cast_fp16")]; - tensor squeeze_136_axes_0 = const()[name = tensor("squeeze_136_axes_0"), val = tensor([0])]; - tensor squeeze_136_cast_fp16 = squeeze(axes = squeeze_136_axes_0, x = op_3982_cast_fp16_1)[name = tensor("squeeze_136_cast_fp16")]; - tensor squeeze_137_axes_0 = const()[name = tensor("squeeze_137_axes_0"), val = tensor([0])]; - tensor squeeze_137_cast_fp16 = squeeze(axes = squeeze_137_axes_0, x = op_3982_cast_fp16_2)[name = tensor("squeeze_137_cast_fp16")]; - tensor mul_45_y_0_to_fp16 = const()[name = tensor("mul_45_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_45_cast_fp16 = mul(x = squeeze_135_cast_fp16, y = mul_45_y_0_to_fp16)[name = tensor("mul_45_cast_fp16")]; - tensor matmul_45_transpose_y_0 = const()[name = tensor("matmul_45_transpose_y_0"), val = tensor(true)]; - tensor matmul_45_transpose_x_0 = const()[name = tensor("matmul_45_transpose_x_0"), val = tensor(false)]; - tensor matmul_45_cast_fp16 = matmul(transpose_x = matmul_45_transpose_x_0, transpose_y = matmul_45_transpose_y_0, x = mul_45_cast_fp16, y = squeeze_136_cast_fp16)[name = tensor("matmul_45_cast_fp16")]; - tensor softmax_45_axis_0 = const()[name = tensor("softmax_45_axis_0"), val = tensor(-1)]; - tensor softmax_45_cast_fp16 = softmax(axis = softmax_45_axis_0, x = matmul_45_cast_fp16)[name = tensor("softmax_45_cast_fp16")]; - tensor x_381_transpose_x_0 = const()[name = tensor("x_381_transpose_x_0"), val = tensor(false)]; - tensor x_381_transpose_y_0 = const()[name = tensor("x_381_transpose_y_0"), val = tensor(false)]; - tensor x_381_cast_fp16 = matmul(transpose_x = x_381_transpose_x_0, transpose_y = x_381_transpose_y_0, x = softmax_45_cast_fp16, y = squeeze_137_cast_fp16)[name = tensor("x_381_cast_fp16")]; - tensor var_3987_perm_0 = const()[name = tensor("op_3987_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_3988 = const()[name = tensor("op_3988"), val = tensor([1, 577, 1024])]; - tensor transpose_9_cast_fp16 = transpose(perm = var_3987_perm_0, x = x_381_cast_fp16)[name = tensor("transpose_9")]; - tensor input_819_cast_fp16 = reshape(shape = var_3988, x = transpose_9_cast_fp16)[name = tensor("input_819_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1145596864)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1147694080)))]; - tensor linear_181_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_attn_proj_weight_to_fp16, x = input_819_cast_fp16)[name = tensor("linear_181_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1147696192)))]; - tensor op_3995_cast_fp16 = mul(x = linear_181_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_ls1_gamma_to_fp16)[name = tensor("op_3995_cast_fp16")]; - tensor input_823_cast_fp16 = add(x = input_817_cast_fp16, y = op_3995_cast_fp16)[name = tensor("input_823_cast_fp16")]; - tensor input_825_axes_0 = const()[name = tensor("input_825_axes_0"), val = tensor([-1])]; - tensor input_825_cast_fp16 = layer_norm(axes = input_825_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_21_norm2_weight_to_fp16, x = input_823_cast_fp16)[name = tensor("input_825_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1147698304)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1156086976)))]; - tensor linear_182_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_mlp_fc1_weight_to_fp16, x = input_825_cast_fp16)[name = tensor("linear_182_cast_fp16")]; - tensor input_829_mode_0 = const()[name = tensor("input_829_mode_0"), val = tensor("EXACT")]; - tensor input_829_cast_fp16 = gelu(mode = input_829_mode_0, x = linear_182_cast_fp16)[name = tensor("input_829_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1156095232)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1164483904)))]; - tensor linear_183_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_mlp_fc2_weight_to_fp16, x = input_829_cast_fp16)[name = tensor("linear_183_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1164486016)))]; - tensor op_4013_cast_fp16 = mul(x = linear_183_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_21_ls2_gamma_to_fp16)[name = tensor("op_4013_cast_fp16")]; - tensor input_835_cast_fp16 = add(x = input_823_cast_fp16, y = op_4013_cast_fp16)[name = tensor("input_835_cast_fp16")]; - tensor x_387_axes_0 = const()[name = tensor("x_387_axes_0"), val = tensor([-1])]; - tensor x_387_cast_fp16 = layer_norm(axes = x_387_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_norm1_weight_to_fp16, x = input_835_cast_fp16)[name = tensor("x_387_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1164488128)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1170779648)))]; - tensor linear_184_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_attn_qkv_weight_to_fp16, x = x_387_cast_fp16)[name = tensor("linear_184_cast_fp16")]; - tensor var_4033 = const()[name = tensor("op_4033"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_4034_cast_fp16 = reshape(shape = var_4033, x = linear_184_cast_fp16)[name = tensor("op_4034_cast_fp16")]; - tensor var_4035 = const()[name = tensor("op_4035"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_4037_split_sizes_0 = const()[name = tensor("op_4037_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_4037_axis_0 = const()[name = tensor("op_4037_axis_0"), val = tensor(0)]; - tensor transpose_8_cast_fp16 = transpose(perm = var_4035, x = op_4034_cast_fp16)[name = tensor("transpose_8")]; - tensor op_4037_cast_fp16_0, tensor op_4037_cast_fp16_1, tensor op_4037_cast_fp16_2 = split(axis = var_4037_axis_0, split_sizes = var_4037_split_sizes_0, x = transpose_8_cast_fp16)[name = tensor("op_4037_cast_fp16")]; - tensor squeeze_138_axes_0 = const()[name = tensor("squeeze_138_axes_0"), val = tensor([0])]; - tensor squeeze_138_cast_fp16 = squeeze(axes = squeeze_138_axes_0, x = op_4037_cast_fp16_0)[name = tensor("squeeze_138_cast_fp16")]; - tensor squeeze_139_axes_0 = const()[name = tensor("squeeze_139_axes_0"), val = tensor([0])]; - tensor squeeze_139_cast_fp16 = squeeze(axes = squeeze_139_axes_0, x = op_4037_cast_fp16_1)[name = tensor("squeeze_139_cast_fp16")]; - tensor squeeze_140_axes_0 = const()[name = tensor("squeeze_140_axes_0"), val = tensor([0])]; - tensor squeeze_140_cast_fp16 = squeeze(axes = squeeze_140_axes_0, x = op_4037_cast_fp16_2)[name = tensor("squeeze_140_cast_fp16")]; - tensor mul_46_y_0_to_fp16 = const()[name = tensor("mul_46_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_46_cast_fp16 = mul(x = squeeze_138_cast_fp16, y = mul_46_y_0_to_fp16)[name = tensor("mul_46_cast_fp16")]; - tensor matmul_46_transpose_y_0 = const()[name = tensor("matmul_46_transpose_y_0"), val = tensor(true)]; - tensor matmul_46_transpose_x_0 = const()[name = tensor("matmul_46_transpose_x_0"), val = tensor(false)]; - tensor matmul_46_cast_fp16 = matmul(transpose_x = matmul_46_transpose_x_0, transpose_y = matmul_46_transpose_y_0, x = mul_46_cast_fp16, y = squeeze_139_cast_fp16)[name = tensor("matmul_46_cast_fp16")]; - tensor softmax_46_axis_0 = const()[name = tensor("softmax_46_axis_0"), val = tensor(-1)]; - tensor softmax_46_cast_fp16 = softmax(axis = softmax_46_axis_0, x = matmul_46_cast_fp16)[name = tensor("softmax_46_cast_fp16")]; - tensor x_389_transpose_x_0 = const()[name = tensor("x_389_transpose_x_0"), val = tensor(false)]; - tensor x_389_transpose_y_0 = const()[name = tensor("x_389_transpose_y_0"), val = tensor(false)]; - tensor x_389_cast_fp16 = matmul(transpose_x = x_389_transpose_x_0, transpose_y = x_389_transpose_y_0, x = softmax_46_cast_fp16, y = squeeze_140_cast_fp16)[name = tensor("x_389_cast_fp16")]; - tensor var_4042_perm_0 = const()[name = tensor("op_4042_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_4043 = const()[name = tensor("op_4043"), val = tensor([1, 577, 1024])]; - tensor transpose_7_cast_fp16 = transpose(perm = var_4042_perm_0, x = x_389_cast_fp16)[name = tensor("transpose_7")]; - tensor input_837_cast_fp16 = reshape(shape = var_4043, x = transpose_7_cast_fp16)[name = tensor("input_837_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1170785856)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1172883072)))]; - tensor linear_185_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_attn_proj_weight_to_fp16, x = input_837_cast_fp16)[name = tensor("linear_185_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1172885184)))]; - tensor op_4050_cast_fp16 = mul(x = linear_185_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_ls1_gamma_to_fp16)[name = tensor("op_4050_cast_fp16")]; - tensor input_841_cast_fp16 = add(x = input_835_cast_fp16, y = op_4050_cast_fp16)[name = tensor("input_841_cast_fp16")]; - tensor input_843_axes_0 = const()[name = tensor("input_843_axes_0"), val = tensor([-1])]; - tensor input_843_cast_fp16 = layer_norm(axes = input_843_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_22_norm2_weight_to_fp16, x = input_841_cast_fp16)[name = tensor("input_843_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1172887296)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1181275968)))]; - tensor linear_186_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_mlp_fc1_weight_to_fp16, x = input_843_cast_fp16)[name = tensor("linear_186_cast_fp16")]; - tensor input_847_mode_0 = const()[name = tensor("input_847_mode_0"), val = tensor("EXACT")]; - tensor input_847_cast_fp16 = gelu(mode = input_847_mode_0, x = linear_186_cast_fp16)[name = tensor("input_847_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1181284224)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1189672896)))]; - tensor linear_187_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_mlp_fc2_weight_to_fp16, x = input_847_cast_fp16)[name = tensor("linear_187_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1189675008)))]; - tensor op_4068_cast_fp16 = mul(x = linear_187_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_22_ls2_gamma_to_fp16)[name = tensor("op_4068_cast_fp16")]; - tensor input_853_cast_fp16 = add(x = input_841_cast_fp16, y = op_4068_cast_fp16)[name = tensor("input_853_cast_fp16")]; - tensor x_395_axes_0 = const()[name = tensor("x_395_axes_0"), val = tensor([-1])]; - tensor x_395_cast_fp16 = layer_norm(axes = x_395_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_norm1_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_norm1_weight_to_fp16, x = input_853_cast_fp16)[name = tensor("x_395_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_attn_qkv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_attn_qkv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1189677120)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_attn_qkv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_attn_qkv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1195968640)))]; - tensor linear_188_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_attn_qkv_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_attn_qkv_weight_to_fp16, x = x_395_cast_fp16)[name = tensor("linear_188_cast_fp16")]; - tensor var_4088 = const()[name = tensor("op_4088"), val = tensor([1, 577, 3, 16, 64])]; - tensor op_4089_cast_fp16 = reshape(shape = var_4088, x = linear_188_cast_fp16)[name = tensor("op_4089_cast_fp16")]; - tensor var_4090 = const()[name = tensor("op_4090"), val = tensor([2, 0, 3, 1, 4])]; - tensor var_4092_split_sizes_0 = const()[name = tensor("op_4092_split_sizes_0"), val = tensor([1, 1, 1])]; - tensor var_4092_axis_0 = const()[name = tensor("op_4092_axis_0"), val = tensor(0)]; - tensor transpose_6_cast_fp16 = transpose(perm = var_4090, x = op_4089_cast_fp16)[name = tensor("transpose_6")]; - tensor op_4092_cast_fp16_0, tensor op_4092_cast_fp16_1, tensor op_4092_cast_fp16_2 = split(axis = var_4092_axis_0, split_sizes = var_4092_split_sizes_0, x = transpose_6_cast_fp16)[name = tensor("op_4092_cast_fp16")]; - tensor squeeze_141_axes_0 = const()[name = tensor("squeeze_141_axes_0"), val = tensor([0])]; - tensor squeeze_141_cast_fp16 = squeeze(axes = squeeze_141_axes_0, x = op_4092_cast_fp16_0)[name = tensor("squeeze_141_cast_fp16")]; - tensor squeeze_142_axes_0 = const()[name = tensor("squeeze_142_axes_0"), val = tensor([0])]; - tensor squeeze_142_cast_fp16 = squeeze(axes = squeeze_142_axes_0, x = op_4092_cast_fp16_1)[name = tensor("squeeze_142_cast_fp16")]; - tensor squeeze_143_axes_0 = const()[name = tensor("squeeze_143_axes_0"), val = tensor([0])]; - tensor squeeze_143_cast_fp16 = squeeze(axes = squeeze_143_axes_0, x = op_4092_cast_fp16_2)[name = tensor("squeeze_143_cast_fp16")]; - tensor mul_47_y_0_to_fp16 = const()[name = tensor("mul_47_y_0_to_fp16"), val = tensor(0x1p-3)]; - tensor mul_47_cast_fp16 = mul(x = squeeze_141_cast_fp16, y = mul_47_y_0_to_fp16)[name = tensor("mul_47_cast_fp16")]; - tensor matmul_47_transpose_y_0 = const()[name = tensor("matmul_47_transpose_y_0"), val = tensor(true)]; - tensor matmul_47_transpose_x_0 = const()[name = tensor("matmul_47_transpose_x_0"), val = tensor(false)]; - tensor matmul_47_cast_fp16 = matmul(transpose_x = matmul_47_transpose_x_0, transpose_y = matmul_47_transpose_y_0, x = mul_47_cast_fp16, y = squeeze_142_cast_fp16)[name = tensor("matmul_47_cast_fp16")]; - tensor softmax_47_axis_0 = const()[name = tensor("softmax_47_axis_0"), val = tensor(-1)]; - tensor softmax_47_cast_fp16 = softmax(axis = softmax_47_axis_0, x = matmul_47_cast_fp16)[name = tensor("softmax_47_cast_fp16")]; - tensor x_397_transpose_x_0 = const()[name = tensor("x_397_transpose_x_0"), val = tensor(false)]; - tensor x_397_transpose_y_0 = const()[name = tensor("x_397_transpose_y_0"), val = tensor(false)]; - tensor x_397_cast_fp16 = matmul(transpose_x = x_397_transpose_x_0, transpose_y = x_397_transpose_y_0, x = softmax_47_cast_fp16, y = squeeze_143_cast_fp16)[name = tensor("x_397_cast_fp16")]; - tensor var_4097_perm_0 = const()[name = tensor("op_4097_perm_0"), val = tensor([0, 2, 1, 3])]; - tensor var_4098 = const()[name = tensor("op_4098"), val = tensor([1, 577, 1024])]; - tensor transpose_5_cast_fp16 = transpose(perm = var_4097_perm_0, x = x_397_cast_fp16)[name = tensor("transpose_5")]; - tensor input_855_cast_fp16 = reshape(shape = var_4098, x = transpose_5_cast_fp16)[name = tensor("input_855_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_attn_proj_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_attn_proj_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1195974848)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_attn_proj_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_attn_proj_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1198072064)))]; - tensor linear_189_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_attn_proj_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_attn_proj_weight_to_fp16, x = input_855_cast_fp16)[name = tensor("linear_189_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_ls1_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_ls1_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1198074176)))]; - tensor op_4105_cast_fp16 = mul(x = linear_189_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_ls1_gamma_to_fp16)[name = tensor("op_4105_cast_fp16")]; - tensor input_859_cast_fp16 = add(x = input_853_cast_fp16, y = op_4105_cast_fp16)[name = tensor("input_859_cast_fp16")]; - tensor input_861_axes_0 = const()[name = tensor("input_861_axes_0"), val = tensor([-1])]; - tensor input_861_cast_fp16 = layer_norm(axes = input_861_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_norm2_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_blocks_23_norm2_weight_to_fp16, x = input_859_cast_fp16)[name = tensor("input_861_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_mlp_fc1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_mlp_fc1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1198076288)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_mlp_fc1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_mlp_fc1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1206464960)))]; - tensor linear_190_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_mlp_fc1_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_mlp_fc1_weight_to_fp16, x = input_861_cast_fp16)[name = tensor("linear_190_cast_fp16")]; - tensor input_865_mode_0 = const()[name = tensor("input_865_mode_0"), val = tensor("EXACT")]; - tensor input_865_cast_fp16 = gelu(mode = input_865_mode_0, x = linear_190_cast_fp16)[name = tensor("input_865_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_mlp_fc2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_mlp_fc2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1206473216)))]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_mlp_fc2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_mlp_fc2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1214861888)))]; - tensor linear_191_cast_fp16 = linear(bias = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_mlp_fc2_bias_to_fp16, weight = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_mlp_fc2_weight_to_fp16, x = input_865_cast_fp16)[name = tensor("linear_191_cast_fp16")]; - tensor monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_ls2_gamma_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_ls2_gamma_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1214864000)))]; - tensor op_4123_cast_fp16 = mul(x = linear_191_cast_fp16, y = monodepth_model_monodepth_predictor_encoder_image_encoder_blocks_23_ls2_gamma_to_fp16)[name = tensor("op_4123_cast_fp16")]; - tensor input_871_cast_fp16 = add(x = input_859_cast_fp16, y = op_4123_cast_fp16)[name = tensor("input_871_cast_fp16")]; - tensor embeddings_9_axes_0 = const()[name = tensor("embeddings_9_axes_0"), val = tensor([-1])]; - tensor embeddings_9_cast_fp16 = layer_norm(axes = embeddings_9_axes_0, beta = monodepth_model_monodepth_predictor_encoder_patch_encoder_norm_bias_to_fp16, epsilon = var_26_to_fp16, gamma = monodepth_model_monodepth_predictor_encoder_patch_encoder_norm_weight_to_fp16, x = input_871_cast_fp16)[name = tensor("embeddings_9_cast_fp16")]; - tensor var_4132_begin_0 = const()[name = tensor("op_4132_begin_0"), val = tensor([0, 1, 0])]; - tensor var_4132_end_0 = const()[name = tensor("op_4132_end_0"), val = tensor([1, 577, 1024])]; - tensor var_4132_end_mask_0 = const()[name = tensor("op_4132_end_mask_0"), val = tensor([true, true, true])]; - tensor op_4132_cast_fp16 = slice_by_index(begin = var_4132_begin_0, end = var_4132_end_0, end_mask = var_4132_end_mask_0, x = embeddings_9_cast_fp16)[name = tensor("op_4132_cast_fp16")]; - tensor var_4134 = const()[name = tensor("op_4134"), val = tensor([1, 24, 24, 1024])]; - tensor op_4135_cast_fp16 = reshape(shape = var_4134, x = op_4132_cast_fp16)[name = tensor("op_4135_cast_fp16")]; - tensor var_4136 = const()[name = tensor("op_4136"), val = tensor([0, 3, 1, 2])]; - tensor input_875_pad_type_0 = const()[name = tensor("input_875_pad_type_0"), val = tensor("valid")]; - tensor input_875_strides_0 = const()[name = tensor("input_875_strides_0"), val = tensor([1, 1])]; - tensor input_875_pad_0 = const()[name = tensor("input_875_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_875_dilations_0 = const()[name = tensor("input_875_dilations_0"), val = tensor([1, 1])]; - tensor input_875_groups_0 = const()[name = tensor("input_875_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_encoder_upsample_latent0_0_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_upsample_latent0_0_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1214866112)))]; - tensor input_875_cast_fp16 = conv(dilations = input_875_dilations_0, groups = input_875_groups_0, pad = input_875_pad_0, pad_type = input_875_pad_type_0, strides = input_875_strides_0, weight = monodepth_model_monodepth_predictor_encoder_upsample_latent0_0_weight_to_fp16, x = input_873_cast_fp16)[name = tensor("input_875_cast_fp16")]; - tensor input_877_pad_type_0 = const()[name = tensor("input_877_pad_type_0"), val = tensor("valid")]; - tensor input_877_strides_0 = const()[name = tensor("input_877_strides_0"), val = tensor([2, 2])]; - tensor input_877_pad_0 = const()[name = tensor("input_877_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_877_dilations_0 = const()[name = tensor("input_877_dilations_0"), val = tensor([1, 1])]; - tensor input_877_groups_0 = const()[name = tensor("input_877_groups_0"), val = tensor(1)]; - tensor input_877_has_output_shape_output_shape_0 = const()[name = tensor("input_877_has_output_shape_output_shape_0"), val = tensor([1, 256, 192, 192])]; - tensor monodepth_model_monodepth_predictor_encoder_upsample_latent0_1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_upsample_latent0_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1215390464)))]; - tensor input_877_has_output_shape_cast_fp16 = conv_transpose(dilations = input_877_dilations_0, groups = input_877_groups_0, output_shape = input_877_has_output_shape_output_shape_0, pad = input_877_pad_0, pad_type = input_877_pad_type_0, strides = input_877_strides_0, weight = monodepth_model_monodepth_predictor_encoder_upsample_latent0_1_weight_to_fp16, x = input_875_cast_fp16)[name = tensor("input_877_has_output_shape_cast_fp16")]; - tensor input_879_pad_type_0 = const()[name = tensor("input_879_pad_type_0"), val = tensor("valid")]; - tensor input_879_strides_0 = const()[name = tensor("input_879_strides_0"), val = tensor([2, 2])]; - tensor input_879_pad_0 = const()[name = tensor("input_879_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_879_dilations_0 = const()[name = tensor("input_879_dilations_0"), val = tensor([1, 1])]; - tensor input_879_groups_0 = const()[name = tensor("input_879_groups_0"), val = tensor(1)]; - tensor input_879_has_output_shape_output_shape_0 = const()[name = tensor("input_879_has_output_shape_output_shape_0"), val = tensor([1, 256, 384, 384])]; - tensor monodepth_model_monodepth_predictor_encoder_upsample_latent0_2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_upsample_latent0_2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1215914816)))]; - tensor input_879_has_output_shape_cast_fp16 = conv_transpose(dilations = input_879_dilations_0, groups = input_879_groups_0, output_shape = input_879_has_output_shape_output_shape_0, pad = input_879_pad_0, pad_type = input_879_pad_type_0, strides = input_879_strides_0, weight = monodepth_model_monodepth_predictor_encoder_upsample_latent0_2_weight_to_fp16, x = input_877_has_output_shape_cast_fp16)[name = tensor("input_879_has_output_shape_cast_fp16")]; - tensor input_983_pad_type_0 = const()[name = tensor("input_983_pad_type_0"), val = tensor("valid")]; - tensor input_983_strides_0 = const()[name = tensor("input_983_strides_0"), val = tensor([2, 2])]; - tensor input_983_pad_0 = const()[name = tensor("input_983_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_983_dilations_0 = const()[name = tensor("input_983_dilations_0"), val = tensor([1, 1])]; - tensor input_983_groups_0 = const()[name = tensor("input_983_groups_0"), val = tensor(1)]; - tensor input_983_has_output_shape_output_shape_0 = const()[name = tensor("input_983_has_output_shape_output_shape_0"), val = tensor([1, 256, 768, 768])]; - tensor monodepth_model_monodepth_predictor_encoder_upsample_latent0_3_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_upsample_latent0_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1216439168)))]; - tensor input_983_has_output_shape_cast_fp16 = conv_transpose(dilations = input_983_dilations_0, groups = input_983_groups_0, output_shape = input_983_has_output_shape_output_shape_0, pad = input_983_pad_0, pad_type = input_983_pad_type_0, strides = input_983_strides_0, weight = monodepth_model_monodepth_predictor_encoder_upsample_latent0_3_weight_to_fp16, x = input_879_has_output_shape_cast_fp16)[name = tensor("input_983_has_output_shape_cast_fp16")]; - tensor input_883_pad_type_0 = const()[name = tensor("input_883_pad_type_0"), val = tensor("valid")]; - tensor input_883_strides_0 = const()[name = tensor("input_883_strides_0"), val = tensor([1, 1])]; - tensor input_883_pad_0 = const()[name = tensor("input_883_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_883_dilations_0 = const()[name = tensor("input_883_dilations_0"), val = tensor([1, 1])]; - tensor input_883_groups_0 = const()[name = tensor("input_883_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_encoder_upsample_latent1_0_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_upsample_latent1_0_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1216963520)))]; - tensor input_883_cast_fp16 = conv(dilations = input_883_dilations_0, groups = input_883_groups_0, pad = input_883_pad_0, pad_type = input_883_pad_type_0, strides = input_883_strides_0, weight = monodepth_model_monodepth_predictor_encoder_upsample_latent1_0_weight_to_fp16, x = input_881_cast_fp16)[name = tensor("input_883_cast_fp16")]; - tensor input_885_pad_type_0 = const()[name = tensor("input_885_pad_type_0"), val = tensor("valid")]; - tensor input_885_strides_0 = const()[name = tensor("input_885_strides_0"), val = tensor([2, 2])]; - tensor input_885_pad_0 = const()[name = tensor("input_885_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_885_dilations_0 = const()[name = tensor("input_885_dilations_0"), val = tensor([1, 1])]; - tensor input_885_groups_0 = const()[name = tensor("input_885_groups_0"), val = tensor(1)]; - tensor input_885_has_output_shape_output_shape_0 = const()[name = tensor("input_885_has_output_shape_output_shape_0"), val = tensor([1, 256, 192, 192])]; - tensor monodepth_model_monodepth_predictor_encoder_upsample_latent1_1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_upsample_latent1_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1217487872)))]; - tensor input_885_has_output_shape_cast_fp16 = conv_transpose(dilations = input_885_dilations_0, groups = input_885_groups_0, output_shape = input_885_has_output_shape_output_shape_0, pad = input_885_pad_0, pad_type = input_885_pad_type_0, strides = input_885_strides_0, weight = monodepth_model_monodepth_predictor_encoder_upsample_latent1_1_weight_to_fp16, x = input_883_cast_fp16)[name = tensor("input_885_has_output_shape_cast_fp16")]; - tensor input_961_pad_type_0 = const()[name = tensor("input_961_pad_type_0"), val = tensor("valid")]; - tensor input_961_strides_0 = const()[name = tensor("input_961_strides_0"), val = tensor([2, 2])]; - tensor input_961_pad_0 = const()[name = tensor("input_961_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_961_dilations_0 = const()[name = tensor("input_961_dilations_0"), val = tensor([1, 1])]; - tensor input_961_groups_0 = const()[name = tensor("input_961_groups_0"), val = tensor(1)]; - tensor input_961_has_output_shape_output_shape_0 = const()[name = tensor("input_961_has_output_shape_output_shape_0"), val = tensor([1, 256, 384, 384])]; - tensor monodepth_model_monodepth_predictor_encoder_upsample_latent1_2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_upsample_latent1_2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1218012224)))]; - tensor input_961_has_output_shape_cast_fp16 = conv_transpose(dilations = input_961_dilations_0, groups = input_961_groups_0, output_shape = input_961_has_output_shape_output_shape_0, pad = input_961_pad_0, pad_type = input_961_pad_type_0, strides = input_961_strides_0, weight = monodepth_model_monodepth_predictor_encoder_upsample_latent1_2_weight_to_fp16, x = input_885_has_output_shape_cast_fp16)[name = tensor("input_961_has_output_shape_cast_fp16")]; - tensor input_889_pad_type_0 = const()[name = tensor("input_889_pad_type_0"), val = tensor("valid")]; - tensor input_889_strides_0 = const()[name = tensor("input_889_strides_0"), val = tensor([1, 1])]; - tensor input_889_pad_0 = const()[name = tensor("input_889_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_889_dilations_0 = const()[name = tensor("input_889_dilations_0"), val = tensor([1, 1])]; - tensor input_889_groups_0 = const()[name = tensor("input_889_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_encoder_upsample0_0_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_upsample0_0_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1218536576)))]; - tensor input_889_cast_fp16 = conv(dilations = input_889_dilations_0, groups = input_889_groups_0, pad = input_889_pad_0, pad_type = input_889_pad_type_0, strides = input_889_strides_0, weight = monodepth_model_monodepth_predictor_encoder_upsample0_0_weight_to_fp16, x = input_887_cast_fp16)[name = tensor("input_889_cast_fp16")]; - tensor input_939_pad_type_0 = const()[name = tensor("input_939_pad_type_0"), val = tensor("valid")]; - tensor input_939_strides_0 = const()[name = tensor("input_939_strides_0"), val = tensor([2, 2])]; - tensor input_939_pad_0 = const()[name = tensor("input_939_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_939_dilations_0 = const()[name = tensor("input_939_dilations_0"), val = tensor([1, 1])]; - tensor input_939_groups_0 = const()[name = tensor("input_939_groups_0"), val = tensor(1)]; - tensor input_939_has_output_shape_output_shape_0 = const()[name = tensor("input_939_has_output_shape_output_shape_0"), val = tensor([1, 512, 192, 192])]; - tensor monodepth_model_monodepth_predictor_encoder_upsample0_1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_upsample0_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1219585216)))]; - tensor input_939_has_output_shape_cast_fp16 = conv_transpose(dilations = input_939_dilations_0, groups = input_939_groups_0, output_shape = input_939_has_output_shape_output_shape_0, pad = input_939_pad_0, pad_type = input_939_pad_type_0, strides = input_939_strides_0, weight = monodepth_model_monodepth_predictor_encoder_upsample0_1_weight_to_fp16, x = input_889_cast_fp16)[name = tensor("input_939_has_output_shape_cast_fp16")]; - tensor input_893_pad_type_0 = const()[name = tensor("input_893_pad_type_0"), val = tensor("valid")]; - tensor input_893_strides_0 = const()[name = tensor("input_893_strides_0"), val = tensor([1, 1])]; - tensor input_893_pad_0 = const()[name = tensor("input_893_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_893_dilations_0 = const()[name = tensor("input_893_dilations_0"), val = tensor([1, 1])]; - tensor input_893_groups_0 = const()[name = tensor("input_893_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_encoder_upsample1_0_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_upsample1_0_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1221682432)))]; - tensor input_893_cast_fp16 = conv(dilations = input_893_dilations_0, groups = input_893_groups_0, pad = input_893_pad_0, pad_type = input_893_pad_type_0, strides = input_893_strides_0, weight = monodepth_model_monodepth_predictor_encoder_upsample1_0_weight_to_fp16, x = input_891_cast_fp16)[name = tensor("input_893_cast_fp16")]; - tensor input_917_pad_type_0 = const()[name = tensor("input_917_pad_type_0"), val = tensor("valid")]; - tensor input_917_strides_0 = const()[name = tensor("input_917_strides_0"), val = tensor([2, 2])]; - tensor input_917_pad_0 = const()[name = tensor("input_917_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_917_dilations_0 = const()[name = tensor("input_917_dilations_0"), val = tensor([1, 1])]; - tensor input_917_groups_0 = const()[name = tensor("input_917_groups_0"), val = tensor(1)]; - tensor input_917_has_output_shape_output_shape_0 = const()[name = tensor("input_917_has_output_shape_output_shape_0"), val = tensor([1, 1024, 96, 96])]; - tensor monodepth_model_monodepth_predictor_encoder_upsample1_1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_upsample1_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1223779648)))]; - tensor input_917_has_output_shape_cast_fp16 = conv_transpose(dilations = input_917_dilations_0, groups = input_917_groups_0, output_shape = input_917_has_output_shape_output_shape_0, pad = input_917_pad_0, pad_type = input_917_pad_type_0, strides = input_917_strides_0, weight = monodepth_model_monodepth_predictor_encoder_upsample1_1_weight_to_fp16, x = input_893_cast_fp16)[name = tensor("input_917_has_output_shape_cast_fp16")]; - tensor input_897_pad_type_0 = const()[name = tensor("input_897_pad_type_0"), val = tensor("valid")]; - tensor input_897_strides_0 = const()[name = tensor("input_897_strides_0"), val = tensor([1, 1])]; - tensor input_897_pad_0 = const()[name = tensor("input_897_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_897_dilations_0 = const()[name = tensor("input_897_dilations_0"), val = tensor([1, 1])]; - tensor input_897_groups_0 = const()[name = tensor("input_897_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_encoder_upsample2_0_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_upsample2_0_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1232168320)))]; - tensor input_897_cast_fp16 = conv(dilations = input_897_dilations_0, groups = input_897_groups_0, pad = input_897_pad_0, pad_type = input_897_pad_type_0, strides = input_897_strides_0, weight = monodepth_model_monodepth_predictor_encoder_upsample2_0_weight_to_fp16, x = op_2266_cast_fp16_2)[name = tensor("input_897_cast_fp16")]; - tensor x2_features_pad_type_0 = const()[name = tensor("x2_features_pad_type_0"), val = tensor("valid")]; - tensor x2_features_strides_0 = const()[name = tensor("x2_features_strides_0"), val = tensor([2, 2])]; - tensor x2_features_pad_0 = const()[name = tensor("x2_features_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor x2_features_dilations_0 = const()[name = tensor("x2_features_dilations_0"), val = tensor([1, 1])]; - tensor x2_features_groups_0 = const()[name = tensor("x2_features_groups_0"), val = tensor(1)]; - tensor x2_features_has_output_shape_output_shape_0 = const()[name = tensor("x2_features_has_output_shape_output_shape_0"), val = tensor([1, 1024, 48, 48])]; - tensor monodepth_model_monodepth_predictor_encoder_upsample2_1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_upsample2_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1234265536)))]; - tensor x2_features_has_output_shape_cast_fp16 = conv_transpose(dilations = x2_features_dilations_0, groups = x2_features_groups_0, output_shape = x2_features_has_output_shape_output_shape_0, pad = x2_features_pad_0, pad_type = x2_features_pad_type_0, strides = x2_features_strides_0, weight = monodepth_model_monodepth_predictor_encoder_upsample2_1_weight_to_fp16, x = input_897_cast_fp16)[name = tensor("x2_features_has_output_shape_cast_fp16")]; - tensor x_lowres_features_pad_type_0 = const()[name = tensor("x_lowres_features_pad_type_0"), val = tensor("valid")]; - tensor x_lowres_features_strides_0 = const()[name = tensor("x_lowres_features_strides_0"), val = tensor([2, 2])]; - tensor x_lowres_features_pad_0 = const()[name = tensor("x_lowres_features_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor x_lowres_features_dilations_0 = const()[name = tensor("x_lowres_features_dilations_0"), val = tensor([1, 1])]; - tensor x_lowres_features_groups_0 = const()[name = tensor("x_lowres_features_groups_0"), val = tensor(1)]; - tensor x_lowres_features_has_output_shape_output_shape_0 = const()[name = tensor("x_lowres_features_has_output_shape_output_shape_0"), val = tensor([1, 1024, 48, 48])]; - tensor monodepth_model_monodepth_predictor_encoder_upsample_lowres_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_upsample_lowres_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1242654208)))]; - tensor monodepth_model_monodepth_predictor_encoder_upsample_lowres_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_upsample_lowres_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1251042880)))]; - tensor transpose_4_cast_fp16 = transpose(perm = var_4136, x = op_4135_cast_fp16)[name = tensor("transpose_4")]; - tensor x_lowres_features_has_output_shape_cast_fp16 = conv_transpose(bias = monodepth_model_monodepth_predictor_encoder_upsample_lowres_bias_to_fp16, dilations = x_lowres_features_dilations_0, groups = x_lowres_features_groups_0, output_shape = x_lowres_features_has_output_shape_output_shape_0, pad = x_lowres_features_pad_0, pad_type = x_lowres_features_pad_type_0, strides = x_lowres_features_strides_0, weight = monodepth_model_monodepth_predictor_encoder_upsample_lowres_weight_to_fp16, x = transpose_4_cast_fp16)[name = tensor("x_lowres_features_has_output_shape_cast_fp16")]; - tensor input_901_interleave_0 = const()[name = tensor("input_901_interleave_0"), val = tensor(false)]; - tensor input_901_cast_fp16 = concat(axis = var_41, interleave = input_901_interleave_0, values = (x2_features_has_output_shape_cast_fp16, x_lowres_features_has_output_shape_cast_fp16))[name = tensor("input_901_cast_fp16")]; - tensor input_903_pad_type_0 = const()[name = tensor("input_903_pad_type_0"), val = tensor("valid")]; - tensor input_903_strides_0 = const()[name = tensor("input_903_strides_0"), val = tensor([1, 1])]; - tensor input_903_pad_0 = const()[name = tensor("input_903_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_903_dilations_0 = const()[name = tensor("input_903_dilations_0"), val = tensor([1, 1])]; - tensor input_903_groups_0 = const()[name = tensor("input_903_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_encoder_fuse_lowres_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_fuse_lowres_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1251044992)))]; - tensor monodepth_model_monodepth_predictor_encoder_fuse_lowres_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_encoder_fuse_lowres_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1255239360)))]; - tensor input_903_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_encoder_fuse_lowres_bias_to_fp16, dilations = input_903_dilations_0, groups = input_903_groups_0, pad = input_903_pad_0, pad_type = input_903_pad_type_0, strides = input_903_strides_0, weight = monodepth_model_monodepth_predictor_encoder_fuse_lowres_weight_to_fp16, x = input_901_cast_fp16)[name = tensor("input_903_cast_fp16")]; - tensor input_905_pad_type_0 = const()[name = tensor("input_905_pad_type_0"), val = tensor("custom")]; - tensor input_905_pad_0 = const()[name = tensor("input_905_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_905_strides_0 = const()[name = tensor("input_905_strides_0"), val = tensor([1, 1])]; - tensor input_905_dilations_0 = const()[name = tensor("input_905_dilations_0"), val = tensor([1, 1])]; - tensor input_905_groups_0 = const()[name = tensor("input_905_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_convs_4_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_convs_4_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1255241472)))]; - tensor input_905_cast_fp16 = conv(dilations = input_905_dilations_0, groups = input_905_groups_0, pad = input_905_pad_0, pad_type = input_905_pad_type_0, strides = input_905_strides_0, weight = monodepth_model_monodepth_predictor_decoder_convs_4_weight_to_fp16, x = input_903_cast_fp16)[name = tensor("input_905_cast_fp16")]; - tensor input_907_cast_fp16 = relu(x = input_905_cast_fp16)[name = tensor("input_907_cast_fp16")]; - tensor input_909_pad_type_0 = const()[name = tensor("input_909_pad_type_0"), val = tensor("custom")]; - tensor input_909_pad_0 = const()[name = tensor("input_909_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_909_strides_0 = const()[name = tensor("input_909_strides_0"), val = tensor([1, 1])]; - tensor input_909_dilations_0 = const()[name = tensor("input_909_dilations_0"), val = tensor([1, 1])]; - tensor input_909_groups_0 = const()[name = tensor("input_909_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_4_resnet2_residual_1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_4_resnet2_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1259960128)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_4_resnet2_residual_1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_4_resnet2_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1261139840)))]; - tensor input_909_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_4_resnet2_residual_1_bias_to_fp16, dilations = input_909_dilations_0, groups = input_909_groups_0, pad = input_909_pad_0, pad_type = input_909_pad_type_0, strides = input_909_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_4_resnet2_residual_1_weight_to_fp16, x = input_907_cast_fp16)[name = tensor("input_909_cast_fp16")]; - tensor input_911_cast_fp16 = relu(x = input_909_cast_fp16)[name = tensor("input_911_cast_fp16")]; - tensor delta_x_1_pad_type_0 = const()[name = tensor("delta_x_1_pad_type_0"), val = tensor("custom")]; - tensor delta_x_1_pad_0 = const()[name = tensor("delta_x_1_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_1_strides_0 = const()[name = tensor("delta_x_1_strides_0"), val = tensor([1, 1])]; - tensor delta_x_1_dilations_0 = const()[name = tensor("delta_x_1_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_1_groups_0 = const()[name = tensor("delta_x_1_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_4_resnet2_residual_3_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_4_resnet2_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1261140416)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_4_resnet2_residual_3_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_4_resnet2_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1262320128)))]; - tensor delta_x_1_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_4_resnet2_residual_3_bias_to_fp16, dilations = delta_x_1_dilations_0, groups = delta_x_1_groups_0, pad = delta_x_1_pad_0, pad_type = delta_x_1_pad_type_0, strides = delta_x_1_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_4_resnet2_residual_3_weight_to_fp16, x = input_911_cast_fp16)[name = tensor("delta_x_1_cast_fp16")]; - tensor input_913_cast_fp16 = add(x = input_905_cast_fp16, y = delta_x_1_cast_fp16)[name = tensor("input_913_cast_fp16")]; - tensor input_915_pad_type_0 = const()[name = tensor("input_915_pad_type_0"), val = tensor("valid")]; - tensor input_915_strides_0 = const()[name = tensor("input_915_strides_0"), val = tensor([2, 2])]; - tensor input_915_pad_0 = const()[name = tensor("input_915_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_915_dilations_0 = const()[name = tensor("input_915_dilations_0"), val = tensor([1, 1])]; - tensor input_915_groups_0 = const()[name = tensor("input_915_groups_0"), val = tensor(1)]; - tensor input_915_has_output_shape_output_shape_0 = const()[name = tensor("input_915_has_output_shape_output_shape_0"), val = tensor([1, 256, 96, 96])]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_4_deconv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_4_deconv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1262320704)))]; - tensor input_915_has_output_shape_cast_fp16 = conv_transpose(dilations = input_915_dilations_0, groups = input_915_groups_0, output_shape = input_915_has_output_shape_output_shape_0, pad = input_915_pad_0, pad_type = input_915_pad_type_0, strides = input_915_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_4_deconv_weight_to_fp16, x = input_913_cast_fp16)[name = tensor("input_915_has_output_shape_cast_fp16")]; - tensor x_403_pad_type_0 = const()[name = tensor("x_403_pad_type_0"), val = tensor("valid")]; - tensor x_403_strides_0 = const()[name = tensor("x_403_strides_0"), val = tensor([1, 1])]; - tensor x_403_pad_0 = const()[name = tensor("x_403_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor x_403_dilations_0 = const()[name = tensor("x_403_dilations_0"), val = tensor([1, 1])]; - tensor x_403_groups_0 = const()[name = tensor("x_403_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_4_out_conv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_4_out_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1262845056)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_4_out_conv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_4_out_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1262976192)))]; - tensor x_403_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_4_out_conv_bias_to_fp16, dilations = x_403_dilations_0, groups = x_403_groups_0, pad = x_403_pad_0, pad_type = x_403_pad_type_0, strides = x_403_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_4_out_conv_weight_to_fp16, x = input_915_has_output_shape_cast_fp16)[name = tensor("x_403_cast_fp16")]; - tensor input_919_pad_type_0 = const()[name = tensor("input_919_pad_type_0"), val = tensor("custom")]; - tensor input_919_pad_0 = const()[name = tensor("input_919_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_919_strides_0 = const()[name = tensor("input_919_strides_0"), val = tensor([1, 1])]; - tensor input_919_dilations_0 = const()[name = tensor("input_919_dilations_0"), val = tensor([1, 1])]; - tensor input_919_groups_0 = const()[name = tensor("input_919_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_convs_3_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_convs_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1262976768)))]; - tensor input_919_cast_fp16 = conv(dilations = input_919_dilations_0, groups = input_919_groups_0, pad = input_919_pad_0, pad_type = input_919_pad_type_0, strides = input_919_strides_0, weight = monodepth_model_monodepth_predictor_decoder_convs_3_weight_to_fp16, x = input_917_has_output_shape_cast_fp16)[name = tensor("input_919_cast_fp16")]; - tensor input_921_cast_fp16 = relu(x = input_919_cast_fp16)[name = tensor("input_921_cast_fp16")]; - tensor input_923_pad_type_0 = const()[name = tensor("input_923_pad_type_0"), val = tensor("custom")]; - tensor input_923_pad_0 = const()[name = tensor("input_923_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_923_strides_0 = const()[name = tensor("input_923_strides_0"), val = tensor([1, 1])]; - tensor input_923_dilations_0 = const()[name = tensor("input_923_dilations_0"), val = tensor([1, 1])]; - tensor input_923_groups_0 = const()[name = tensor("input_923_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_3_resnet1_residual_1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_3_resnet1_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1267695424)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_3_resnet1_residual_1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_3_resnet1_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1268875136)))]; - tensor input_923_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_3_resnet1_residual_1_bias_to_fp16, dilations = input_923_dilations_0, groups = input_923_groups_0, pad = input_923_pad_0, pad_type = input_923_pad_type_0, strides = input_923_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_3_resnet1_residual_1_weight_to_fp16, x = input_921_cast_fp16)[name = tensor("input_923_cast_fp16")]; - tensor input_925_cast_fp16 = relu(x = input_923_cast_fp16)[name = tensor("input_925_cast_fp16")]; - tensor delta_x_3_pad_type_0 = const()[name = tensor("delta_x_3_pad_type_0"), val = tensor("custom")]; - tensor delta_x_3_pad_0 = const()[name = tensor("delta_x_3_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_3_strides_0 = const()[name = tensor("delta_x_3_strides_0"), val = tensor([1, 1])]; - tensor delta_x_3_dilations_0 = const()[name = tensor("delta_x_3_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_3_groups_0 = const()[name = tensor("delta_x_3_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_3_resnet1_residual_3_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_3_resnet1_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1268875712)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_3_resnet1_residual_3_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_3_resnet1_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1270055424)))]; - tensor delta_x_3_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_3_resnet1_residual_3_bias_to_fp16, dilations = delta_x_3_dilations_0, groups = delta_x_3_groups_0, pad = delta_x_3_pad_0, pad_type = delta_x_3_pad_type_0, strides = delta_x_3_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_3_resnet1_residual_3_weight_to_fp16, x = input_925_cast_fp16)[name = tensor("delta_x_3_cast_fp16")]; - tensor y_1_cast_fp16 = add(x = input_919_cast_fp16, y = delta_x_3_cast_fp16)[name = tensor("y_1_cast_fp16")]; - tensor input_927_cast_fp16 = add(x = x_403_cast_fp16, y = y_1_cast_fp16)[name = tensor("input_927_cast_fp16")]; - tensor input_929_cast_fp16 = relu(x = input_927_cast_fp16)[name = tensor("input_929_cast_fp16")]; - tensor input_931_pad_type_0 = const()[name = tensor("input_931_pad_type_0"), val = tensor("custom")]; - tensor input_931_pad_0 = const()[name = tensor("input_931_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_931_strides_0 = const()[name = tensor("input_931_strides_0"), val = tensor([1, 1])]; - tensor input_931_dilations_0 = const()[name = tensor("input_931_dilations_0"), val = tensor([1, 1])]; - tensor input_931_groups_0 = const()[name = tensor("input_931_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_3_resnet2_residual_1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_3_resnet2_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1270056000)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_3_resnet2_residual_1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_3_resnet2_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1271235712)))]; - tensor input_931_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_3_resnet2_residual_1_bias_to_fp16, dilations = input_931_dilations_0, groups = input_931_groups_0, pad = input_931_pad_0, pad_type = input_931_pad_type_0, strides = input_931_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_3_resnet2_residual_1_weight_to_fp16, x = input_929_cast_fp16)[name = tensor("input_931_cast_fp16")]; - tensor input_933_cast_fp16 = relu(x = input_931_cast_fp16)[name = tensor("input_933_cast_fp16")]; - tensor delta_x_5_pad_type_0 = const()[name = tensor("delta_x_5_pad_type_0"), val = tensor("custom")]; - tensor delta_x_5_pad_0 = const()[name = tensor("delta_x_5_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_5_strides_0 = const()[name = tensor("delta_x_5_strides_0"), val = tensor([1, 1])]; - tensor delta_x_5_dilations_0 = const()[name = tensor("delta_x_5_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_5_groups_0 = const()[name = tensor("delta_x_5_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_3_resnet2_residual_3_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_3_resnet2_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1271236288)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_3_resnet2_residual_3_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_3_resnet2_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1272416000)))]; - tensor delta_x_5_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_3_resnet2_residual_3_bias_to_fp16, dilations = delta_x_5_dilations_0, groups = delta_x_5_groups_0, pad = delta_x_5_pad_0, pad_type = delta_x_5_pad_type_0, strides = delta_x_5_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_3_resnet2_residual_3_weight_to_fp16, x = input_933_cast_fp16)[name = tensor("delta_x_5_cast_fp16")]; - tensor input_935_cast_fp16 = add(x = input_927_cast_fp16, y = delta_x_5_cast_fp16)[name = tensor("input_935_cast_fp16")]; - tensor input_937_pad_type_0 = const()[name = tensor("input_937_pad_type_0"), val = tensor("valid")]; - tensor input_937_strides_0 = const()[name = tensor("input_937_strides_0"), val = tensor([2, 2])]; - tensor input_937_pad_0 = const()[name = tensor("input_937_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_937_dilations_0 = const()[name = tensor("input_937_dilations_0"), val = tensor([1, 1])]; - tensor input_937_groups_0 = const()[name = tensor("input_937_groups_0"), val = tensor(1)]; - tensor input_937_has_output_shape_output_shape_0 = const()[name = tensor("input_937_has_output_shape_output_shape_0"), val = tensor([1, 256, 192, 192])]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_3_deconv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_3_deconv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1272416576)))]; - tensor input_937_has_output_shape_cast_fp16 = conv_transpose(dilations = input_937_dilations_0, groups = input_937_groups_0, output_shape = input_937_has_output_shape_output_shape_0, pad = input_937_pad_0, pad_type = input_937_pad_type_0, strides = input_937_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_3_deconv_weight_to_fp16, x = input_935_cast_fp16)[name = tensor("input_937_has_output_shape_cast_fp16")]; - tensor x_405_pad_type_0 = const()[name = tensor("x_405_pad_type_0"), val = tensor("valid")]; - tensor x_405_strides_0 = const()[name = tensor("x_405_strides_0"), val = tensor([1, 1])]; - tensor x_405_pad_0 = const()[name = tensor("x_405_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor x_405_dilations_0 = const()[name = tensor("x_405_dilations_0"), val = tensor([1, 1])]; - tensor x_405_groups_0 = const()[name = tensor("x_405_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_3_out_conv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_3_out_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1272940928)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_3_out_conv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_3_out_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1273072064)))]; - tensor x_405_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_3_out_conv_bias_to_fp16, dilations = x_405_dilations_0, groups = x_405_groups_0, pad = x_405_pad_0, pad_type = x_405_pad_type_0, strides = x_405_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_3_out_conv_weight_to_fp16, x = input_937_has_output_shape_cast_fp16)[name = tensor("x_405_cast_fp16")]; - tensor input_941_pad_type_0 = const()[name = tensor("input_941_pad_type_0"), val = tensor("custom")]; - tensor input_941_pad_0 = const()[name = tensor("input_941_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_941_strides_0 = const()[name = tensor("input_941_strides_0"), val = tensor([1, 1])]; - tensor input_941_dilations_0 = const()[name = tensor("input_941_dilations_0"), val = tensor([1, 1])]; - tensor input_941_groups_0 = const()[name = tensor("input_941_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_convs_2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_convs_2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1273072640)))]; - tensor input_941_cast_fp16 = conv(dilations = input_941_dilations_0, groups = input_941_groups_0, pad = input_941_pad_0, pad_type = input_941_pad_type_0, strides = input_941_strides_0, weight = monodepth_model_monodepth_predictor_decoder_convs_2_weight_to_fp16, x = input_939_has_output_shape_cast_fp16)[name = tensor("input_941_cast_fp16")]; - tensor input_943_cast_fp16 = relu(x = input_941_cast_fp16)[name = tensor("input_943_cast_fp16")]; - tensor input_945_pad_type_0 = const()[name = tensor("input_945_pad_type_0"), val = tensor("custom")]; - tensor input_945_pad_0 = const()[name = tensor("input_945_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_945_strides_0 = const()[name = tensor("input_945_strides_0"), val = tensor([1, 1])]; - tensor input_945_dilations_0 = const()[name = tensor("input_945_dilations_0"), val = tensor([1, 1])]; - tensor input_945_groups_0 = const()[name = tensor("input_945_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_2_resnet1_residual_1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_2_resnet1_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1275432000)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_2_resnet1_residual_1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_2_resnet1_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1276611712)))]; - tensor input_945_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_2_resnet1_residual_1_bias_to_fp16, dilations = input_945_dilations_0, groups = input_945_groups_0, pad = input_945_pad_0, pad_type = input_945_pad_type_0, strides = input_945_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_2_resnet1_residual_1_weight_to_fp16, x = input_943_cast_fp16)[name = tensor("input_945_cast_fp16")]; - tensor input_947_cast_fp16 = relu(x = input_945_cast_fp16)[name = tensor("input_947_cast_fp16")]; - tensor delta_x_7_pad_type_0 = const()[name = tensor("delta_x_7_pad_type_0"), val = tensor("custom")]; - tensor delta_x_7_pad_0 = const()[name = tensor("delta_x_7_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_7_strides_0 = const()[name = tensor("delta_x_7_strides_0"), val = tensor([1, 1])]; - tensor delta_x_7_dilations_0 = const()[name = tensor("delta_x_7_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_7_groups_0 = const()[name = tensor("delta_x_7_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_2_resnet1_residual_3_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_2_resnet1_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1276612288)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_2_resnet1_residual_3_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_2_resnet1_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1277792000)))]; - tensor delta_x_7_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_2_resnet1_residual_3_bias_to_fp16, dilations = delta_x_7_dilations_0, groups = delta_x_7_groups_0, pad = delta_x_7_pad_0, pad_type = delta_x_7_pad_type_0, strides = delta_x_7_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_2_resnet1_residual_3_weight_to_fp16, x = input_947_cast_fp16)[name = tensor("delta_x_7_cast_fp16")]; - tensor y_3_cast_fp16 = add(x = input_941_cast_fp16, y = delta_x_7_cast_fp16)[name = tensor("y_3_cast_fp16")]; - tensor input_949_cast_fp16 = add(x = x_405_cast_fp16, y = y_3_cast_fp16)[name = tensor("input_949_cast_fp16")]; - tensor input_951_cast_fp16 = relu(x = input_949_cast_fp16)[name = tensor("input_951_cast_fp16")]; - tensor input_953_pad_type_0 = const()[name = tensor("input_953_pad_type_0"), val = tensor("custom")]; - tensor input_953_pad_0 = const()[name = tensor("input_953_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_953_strides_0 = const()[name = tensor("input_953_strides_0"), val = tensor([1, 1])]; - tensor input_953_dilations_0 = const()[name = tensor("input_953_dilations_0"), val = tensor([1, 1])]; - tensor input_953_groups_0 = const()[name = tensor("input_953_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_2_resnet2_residual_1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_2_resnet2_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1277792576)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_2_resnet2_residual_1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_2_resnet2_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1278972288)))]; - tensor input_953_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_2_resnet2_residual_1_bias_to_fp16, dilations = input_953_dilations_0, groups = input_953_groups_0, pad = input_953_pad_0, pad_type = input_953_pad_type_0, strides = input_953_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_2_resnet2_residual_1_weight_to_fp16, x = input_951_cast_fp16)[name = tensor("input_953_cast_fp16")]; - tensor input_955_cast_fp16 = relu(x = input_953_cast_fp16)[name = tensor("input_955_cast_fp16")]; - tensor delta_x_9_pad_type_0 = const()[name = tensor("delta_x_9_pad_type_0"), val = tensor("custom")]; - tensor delta_x_9_pad_0 = const()[name = tensor("delta_x_9_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_9_strides_0 = const()[name = tensor("delta_x_9_strides_0"), val = tensor([1, 1])]; - tensor delta_x_9_dilations_0 = const()[name = tensor("delta_x_9_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_9_groups_0 = const()[name = tensor("delta_x_9_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_2_resnet2_residual_3_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_2_resnet2_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1278972864)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_2_resnet2_residual_3_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_2_resnet2_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1280152576)))]; - tensor delta_x_9_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_2_resnet2_residual_3_bias_to_fp16, dilations = delta_x_9_dilations_0, groups = delta_x_9_groups_0, pad = delta_x_9_pad_0, pad_type = delta_x_9_pad_type_0, strides = delta_x_9_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_2_resnet2_residual_3_weight_to_fp16, x = input_955_cast_fp16)[name = tensor("delta_x_9_cast_fp16")]; - tensor input_957_cast_fp16 = add(x = input_949_cast_fp16, y = delta_x_9_cast_fp16)[name = tensor("input_957_cast_fp16")]; - tensor input_959_pad_type_0 = const()[name = tensor("input_959_pad_type_0"), val = tensor("valid")]; - tensor input_959_strides_0 = const()[name = tensor("input_959_strides_0"), val = tensor([2, 2])]; - tensor input_959_pad_0 = const()[name = tensor("input_959_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_959_dilations_0 = const()[name = tensor("input_959_dilations_0"), val = tensor([1, 1])]; - tensor input_959_groups_0 = const()[name = tensor("input_959_groups_0"), val = tensor(1)]; - tensor input_959_has_output_shape_output_shape_0 = const()[name = tensor("input_959_has_output_shape_output_shape_0"), val = tensor([1, 256, 384, 384])]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_2_deconv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_2_deconv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1280153152)))]; - tensor input_959_has_output_shape_cast_fp16 = conv_transpose(dilations = input_959_dilations_0, groups = input_959_groups_0, output_shape = input_959_has_output_shape_output_shape_0, pad = input_959_pad_0, pad_type = input_959_pad_type_0, strides = input_959_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_2_deconv_weight_to_fp16, x = input_957_cast_fp16)[name = tensor("input_959_has_output_shape_cast_fp16")]; - tensor x_407_pad_type_0 = const()[name = tensor("x_407_pad_type_0"), val = tensor("valid")]; - tensor x_407_strides_0 = const()[name = tensor("x_407_strides_0"), val = tensor([1, 1])]; - tensor x_407_pad_0 = const()[name = tensor("x_407_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor x_407_dilations_0 = const()[name = tensor("x_407_dilations_0"), val = tensor([1, 1])]; - tensor x_407_groups_0 = const()[name = tensor("x_407_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_2_out_conv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_2_out_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1280677504)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_2_out_conv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_2_out_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1280808640)))]; - tensor x_407_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_2_out_conv_bias_to_fp16, dilations = x_407_dilations_0, groups = x_407_groups_0, pad = x_407_pad_0, pad_type = x_407_pad_type_0, strides = x_407_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_2_out_conv_weight_to_fp16, x = input_959_has_output_shape_cast_fp16)[name = tensor("x_407_cast_fp16")]; - tensor input_963_pad_type_0 = const()[name = tensor("input_963_pad_type_0"), val = tensor("custom")]; - tensor input_963_pad_0 = const()[name = tensor("input_963_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_963_strides_0 = const()[name = tensor("input_963_strides_0"), val = tensor([1, 1])]; - tensor input_963_dilations_0 = const()[name = tensor("input_963_dilations_0"), val = tensor([1, 1])]; - tensor input_963_groups_0 = const()[name = tensor("input_963_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_convs_1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_convs_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1280809216)))]; - tensor input_963_cast_fp16 = conv(dilations = input_963_dilations_0, groups = input_963_groups_0, pad = input_963_pad_0, pad_type = input_963_pad_type_0, strides = input_963_strides_0, weight = monodepth_model_monodepth_predictor_decoder_convs_1_weight_to_fp16, x = input_961_has_output_shape_cast_fp16)[name = tensor("input_963_cast_fp16")]; - tensor input_965_cast_fp16 = relu(x = input_963_cast_fp16)[name = tensor("input_965_cast_fp16")]; - tensor input_967_pad_type_0 = const()[name = tensor("input_967_pad_type_0"), val = tensor("custom")]; - tensor input_967_pad_0 = const()[name = tensor("input_967_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_967_strides_0 = const()[name = tensor("input_967_strides_0"), val = tensor([1, 1])]; - tensor input_967_dilations_0 = const()[name = tensor("input_967_dilations_0"), val = tensor([1, 1])]; - tensor input_967_groups_0 = const()[name = tensor("input_967_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_1_resnet1_residual_1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_1_resnet1_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1281988928)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_1_resnet1_residual_1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_1_resnet1_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1283168640)))]; - tensor input_967_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_1_resnet1_residual_1_bias_to_fp16, dilations = input_967_dilations_0, groups = input_967_groups_0, pad = input_967_pad_0, pad_type = input_967_pad_type_0, strides = input_967_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_1_resnet1_residual_1_weight_to_fp16, x = input_965_cast_fp16)[name = tensor("input_967_cast_fp16")]; - tensor input_969_cast_fp16 = relu(x = input_967_cast_fp16)[name = tensor("input_969_cast_fp16")]; - tensor delta_x_11_pad_type_0 = const()[name = tensor("delta_x_11_pad_type_0"), val = tensor("custom")]; - tensor delta_x_11_pad_0 = const()[name = tensor("delta_x_11_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_11_strides_0 = const()[name = tensor("delta_x_11_strides_0"), val = tensor([1, 1])]; - tensor delta_x_11_dilations_0 = const()[name = tensor("delta_x_11_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_11_groups_0 = const()[name = tensor("delta_x_11_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_1_resnet1_residual_3_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_1_resnet1_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1283169216)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_1_resnet1_residual_3_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_1_resnet1_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1284348928)))]; - tensor delta_x_11_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_1_resnet1_residual_3_bias_to_fp16, dilations = delta_x_11_dilations_0, groups = delta_x_11_groups_0, pad = delta_x_11_pad_0, pad_type = delta_x_11_pad_type_0, strides = delta_x_11_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_1_resnet1_residual_3_weight_to_fp16, x = input_969_cast_fp16)[name = tensor("delta_x_11_cast_fp16")]; - tensor y_5_cast_fp16 = add(x = input_963_cast_fp16, y = delta_x_11_cast_fp16)[name = tensor("y_5_cast_fp16")]; - tensor input_971_cast_fp16 = add(x = x_407_cast_fp16, y = y_5_cast_fp16)[name = tensor("input_971_cast_fp16")]; - tensor input_973_cast_fp16 = relu(x = input_971_cast_fp16)[name = tensor("input_973_cast_fp16")]; - tensor input_975_pad_type_0 = const()[name = tensor("input_975_pad_type_0"), val = tensor("custom")]; - tensor input_975_pad_0 = const()[name = tensor("input_975_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_975_strides_0 = const()[name = tensor("input_975_strides_0"), val = tensor([1, 1])]; - tensor input_975_dilations_0 = const()[name = tensor("input_975_dilations_0"), val = tensor([1, 1])]; - tensor input_975_groups_0 = const()[name = tensor("input_975_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_1_resnet2_residual_1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_1_resnet2_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1284349504)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_1_resnet2_residual_1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_1_resnet2_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1285529216)))]; - tensor input_975_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_1_resnet2_residual_1_bias_to_fp16, dilations = input_975_dilations_0, groups = input_975_groups_0, pad = input_975_pad_0, pad_type = input_975_pad_type_0, strides = input_975_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_1_resnet2_residual_1_weight_to_fp16, x = input_973_cast_fp16)[name = tensor("input_975_cast_fp16")]; - tensor input_977_cast_fp16 = relu(x = input_975_cast_fp16)[name = tensor("input_977_cast_fp16")]; - tensor delta_x_13_pad_type_0 = const()[name = tensor("delta_x_13_pad_type_0"), val = tensor("custom")]; - tensor delta_x_13_pad_0 = const()[name = tensor("delta_x_13_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_13_strides_0 = const()[name = tensor("delta_x_13_strides_0"), val = tensor([1, 1])]; - tensor delta_x_13_dilations_0 = const()[name = tensor("delta_x_13_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_13_groups_0 = const()[name = tensor("delta_x_13_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_1_resnet2_residual_3_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_1_resnet2_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1285529792)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_1_resnet2_residual_3_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_1_resnet2_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1286709504)))]; - tensor delta_x_13_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_1_resnet2_residual_3_bias_to_fp16, dilations = delta_x_13_dilations_0, groups = delta_x_13_groups_0, pad = delta_x_13_pad_0, pad_type = delta_x_13_pad_type_0, strides = delta_x_13_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_1_resnet2_residual_3_weight_to_fp16, x = input_977_cast_fp16)[name = tensor("delta_x_13_cast_fp16")]; - tensor input_979_cast_fp16 = add(x = input_971_cast_fp16, y = delta_x_13_cast_fp16)[name = tensor("input_979_cast_fp16")]; - tensor input_981_pad_type_0 = const()[name = tensor("input_981_pad_type_0"), val = tensor("valid")]; - tensor input_981_strides_0 = const()[name = tensor("input_981_strides_0"), val = tensor([2, 2])]; - tensor input_981_pad_0 = const()[name = tensor("input_981_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_981_dilations_0 = const()[name = tensor("input_981_dilations_0"), val = tensor([1, 1])]; - tensor input_981_groups_0 = const()[name = tensor("input_981_groups_0"), val = tensor(1)]; - tensor input_981_has_output_shape_output_shape_0 = const()[name = tensor("input_981_has_output_shape_output_shape_0"), val = tensor([1, 256, 768, 768])]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_1_deconv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_1_deconv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1286710080)))]; - tensor input_981_has_output_shape_cast_fp16 = conv_transpose(dilations = input_981_dilations_0, groups = input_981_groups_0, output_shape = input_981_has_output_shape_output_shape_0, pad = input_981_pad_0, pad_type = input_981_pad_type_0, strides = input_981_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_1_deconv_weight_to_fp16, x = input_979_cast_fp16)[name = tensor("input_981_has_output_shape_cast_fp16")]; - tensor x_409_pad_type_0 = const()[name = tensor("x_409_pad_type_0"), val = tensor("valid")]; - tensor x_409_strides_0 = const()[name = tensor("x_409_strides_0"), val = tensor([1, 1])]; - tensor x_409_pad_0 = const()[name = tensor("x_409_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor x_409_dilations_0 = const()[name = tensor("x_409_dilations_0"), val = tensor([1, 1])]; - tensor x_409_groups_0 = const()[name = tensor("x_409_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_1_out_conv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_1_out_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1287234432)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_1_out_conv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_1_out_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1287365568)))]; - tensor x_409_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_1_out_conv_bias_to_fp16, dilations = x_409_dilations_0, groups = x_409_groups_0, pad = x_409_pad_0, pad_type = x_409_pad_type_0, strides = x_409_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_1_out_conv_weight_to_fp16, x = input_981_has_output_shape_cast_fp16)[name = tensor("x_409_cast_fp16")]; - tensor input_985_cast_fp16 = relu(x = input_983_has_output_shape_cast_fp16)[name = tensor("input_985_cast_fp16")]; - tensor input_987_pad_type_0 = const()[name = tensor("input_987_pad_type_0"), val = tensor("custom")]; - tensor input_987_pad_0 = const()[name = tensor("input_987_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_987_strides_0 = const()[name = tensor("input_987_strides_0"), val = tensor([1, 1])]; - tensor input_987_dilations_0 = const()[name = tensor("input_987_dilations_0"), val = tensor([1, 1])]; - tensor input_987_groups_0 = const()[name = tensor("input_987_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_0_resnet1_residual_1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_0_resnet1_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1287366144)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_0_resnet1_residual_1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_0_resnet1_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1288545856)))]; - tensor input_987_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_0_resnet1_residual_1_bias_to_fp16, dilations = input_987_dilations_0, groups = input_987_groups_0, pad = input_987_pad_0, pad_type = input_987_pad_type_0, strides = input_987_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_0_resnet1_residual_1_weight_to_fp16, x = input_985_cast_fp16)[name = tensor("input_987_cast_fp16")]; - tensor input_989_cast_fp16 = relu(x = input_987_cast_fp16)[name = tensor("input_989_cast_fp16")]; - tensor delta_x_15_pad_type_0 = const()[name = tensor("delta_x_15_pad_type_0"), val = tensor("custom")]; - tensor delta_x_15_pad_0 = const()[name = tensor("delta_x_15_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_15_strides_0 = const()[name = tensor("delta_x_15_strides_0"), val = tensor([1, 1])]; - tensor delta_x_15_dilations_0 = const()[name = tensor("delta_x_15_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_15_groups_0 = const()[name = tensor("delta_x_15_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_0_resnet1_residual_3_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_0_resnet1_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1288546432)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_0_resnet1_residual_3_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_0_resnet1_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1289726144)))]; - tensor delta_x_15_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_0_resnet1_residual_3_bias_to_fp16, dilations = delta_x_15_dilations_0, groups = delta_x_15_groups_0, pad = delta_x_15_pad_0, pad_type = delta_x_15_pad_type_0, strides = delta_x_15_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_0_resnet1_residual_3_weight_to_fp16, x = input_989_cast_fp16)[name = tensor("delta_x_15_cast_fp16")]; - tensor y_7_cast_fp16 = add(x = input_983_has_output_shape_cast_fp16, y = delta_x_15_cast_fp16)[name = tensor("y_7_cast_fp16")]; - tensor input_991_cast_fp16 = add(x = x_409_cast_fp16, y = y_7_cast_fp16)[name = tensor("input_991_cast_fp16")]; - tensor input_993_cast_fp16 = relu(x = input_991_cast_fp16)[name = tensor("input_993_cast_fp16")]; - tensor input_995_pad_type_0 = const()[name = tensor("input_995_pad_type_0"), val = tensor("custom")]; - tensor input_995_pad_0 = const()[name = tensor("input_995_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_995_strides_0 = const()[name = tensor("input_995_strides_0"), val = tensor([1, 1])]; - tensor input_995_dilations_0 = const()[name = tensor("input_995_dilations_0"), val = tensor([1, 1])]; - tensor input_995_groups_0 = const()[name = tensor("input_995_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_0_resnet2_residual_1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_0_resnet2_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1289726720)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_0_resnet2_residual_1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_0_resnet2_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1290906432)))]; - tensor input_995_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_0_resnet2_residual_1_bias_to_fp16, dilations = input_995_dilations_0, groups = input_995_groups_0, pad = input_995_pad_0, pad_type = input_995_pad_type_0, strides = input_995_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_0_resnet2_residual_1_weight_to_fp16, x = input_993_cast_fp16)[name = tensor("input_995_cast_fp16")]; - tensor input_997_cast_fp16 = relu(x = input_995_cast_fp16)[name = tensor("input_997_cast_fp16")]; - tensor delta_x_17_pad_type_0 = const()[name = tensor("delta_x_17_pad_type_0"), val = tensor("custom")]; - tensor delta_x_17_pad_0 = const()[name = tensor("delta_x_17_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_17_strides_0 = const()[name = tensor("delta_x_17_strides_0"), val = tensor([1, 1])]; - tensor delta_x_17_dilations_0 = const()[name = tensor("delta_x_17_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_17_groups_0 = const()[name = tensor("delta_x_17_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_0_resnet2_residual_3_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_0_resnet2_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1290907008)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_0_resnet2_residual_3_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_0_resnet2_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1292086720)))]; - tensor delta_x_17_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_0_resnet2_residual_3_bias_to_fp16, dilations = delta_x_17_dilations_0, groups = delta_x_17_groups_0, pad = delta_x_17_pad_0, pad_type = delta_x_17_pad_type_0, strides = delta_x_17_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_0_resnet2_residual_3_weight_to_fp16, x = input_997_cast_fp16)[name = tensor("delta_x_17_cast_fp16")]; - tensor input_999_cast_fp16 = add(x = input_991_cast_fp16, y = delta_x_17_cast_fp16)[name = tensor("input_999_cast_fp16")]; - tensor input_1001_pad_type_0 = const()[name = tensor("input_1001_pad_type_0"), val = tensor("valid")]; - tensor input_1001_strides_0 = const()[name = tensor("input_1001_strides_0"), val = tensor([1, 1])]; - tensor input_1001_pad_0 = const()[name = tensor("input_1001_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_1001_dilations_0 = const()[name = tensor("input_1001_dilations_0"), val = tensor([1, 1])]; - tensor input_1001_groups_0 = const()[name = tensor("input_1001_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_0_out_conv_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_0_out_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1292087296)))]; - tensor monodepth_model_monodepth_predictor_decoder_fusions_0_out_conv_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_decoder_fusions_0_out_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1292218432)))]; - tensor input_1001_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_decoder_fusions_0_out_conv_bias_to_fp16, dilations = input_1001_dilations_0, groups = input_1001_groups_0, pad = input_1001_pad_0, pad_type = input_1001_pad_type_0, strides = input_1001_strides_0, weight = monodepth_model_monodepth_predictor_decoder_fusions_0_out_conv_weight_to_fp16, x = input_999_cast_fp16)[name = tensor("input_1001_cast_fp16")]; - tensor input_1003_pad_type_0 = const()[name = tensor("input_1003_pad_type_0"), val = tensor("custom")]; - tensor input_1003_pad_0 = const()[name = tensor("input_1003_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1003_strides_0 = const()[name = tensor("input_1003_strides_0"), val = tensor([1, 1])]; - tensor input_1003_dilations_0 = const()[name = tensor("input_1003_dilations_0"), val = tensor([1, 1])]; - tensor input_1003_groups_0 = const()[name = tensor("input_1003_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_head_0_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_head_0_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1292219008)))]; - tensor monodepth_model_monodepth_predictor_head_0_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_head_0_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1292808896)))]; - tensor input_1003_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_head_0_bias_to_fp16, dilations = input_1003_dilations_0, groups = input_1003_groups_0, pad = input_1003_pad_0, pad_type = input_1003_pad_type_0, strides = input_1003_strides_0, weight = monodepth_model_monodepth_predictor_head_0_weight_to_fp16, x = input_1001_cast_fp16)[name = tensor("input_1003_cast_fp16")]; - tensor input_1005_pad_type_0 = const()[name = tensor("input_1005_pad_type_0"), val = tensor("valid")]; - tensor input_1005_strides_0 = const()[name = tensor("input_1005_strides_0"), val = tensor([2, 2])]; - tensor input_1005_pad_0 = const()[name = tensor("input_1005_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_1005_dilations_0 = const()[name = tensor("input_1005_dilations_0"), val = tensor([1, 1])]; - tensor input_1005_groups_0 = const()[name = tensor("input_1005_groups_0"), val = tensor(1)]; - tensor input_1005_has_output_shape_output_shape_0 = const()[name = tensor("input_1005_has_output_shape_output_shape_0"), val = tensor([1, 128, 1536, 1536])]; - tensor monodepth_model_monodepth_predictor_head_1_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_head_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1292809216)))]; - tensor monodepth_model_monodepth_predictor_head_1_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_head_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1292940352)))]; - tensor input_1005_has_output_shape_cast_fp16 = conv_transpose(bias = monodepth_model_monodepth_predictor_head_1_bias_to_fp16, dilations = input_1005_dilations_0, groups = input_1005_groups_0, output_shape = input_1005_has_output_shape_output_shape_0, pad = input_1005_pad_0, pad_type = input_1005_pad_type_0, strides = input_1005_strides_0, weight = monodepth_model_monodepth_predictor_head_1_weight_to_fp16, x = input_1003_cast_fp16)[name = tensor("input_1005_has_output_shape_cast_fp16")]; - tensor input_1007_pad_type_0 = const()[name = tensor("input_1007_pad_type_0"), val = tensor("custom")]; - tensor input_1007_pad_0 = const()[name = tensor("input_1007_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1007_strides_0 = const()[name = tensor("input_1007_strides_0"), val = tensor([1, 1])]; - tensor input_1007_dilations_0 = const()[name = tensor("input_1007_dilations_0"), val = tensor([1, 1])]; - tensor input_1007_groups_0 = const()[name = tensor("input_1007_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_head_2_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_head_2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1292940672)))]; - tensor monodepth_model_monodepth_predictor_head_2_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_head_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1293014464)))]; - tensor input_1007_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_head_2_bias_to_fp16, dilations = input_1007_dilations_0, groups = input_1007_groups_0, pad = input_1007_pad_0, pad_type = input_1007_pad_type_0, strides = input_1007_strides_0, weight = monodepth_model_monodepth_predictor_head_2_weight_to_fp16, x = input_1005_has_output_shape_cast_fp16)[name = tensor("input_1007_cast_fp16")]; - tensor input_1009_cast_fp16 = relu(x = input_1007_cast_fp16)[name = tensor("input_1009_cast_fp16")]; - tensor input_1011_pad_type_0 = const()[name = tensor("input_1011_pad_type_0"), val = tensor("valid")]; - tensor input_1011_strides_0 = const()[name = tensor("input_1011_strides_0"), val = tensor([1, 1])]; - tensor input_1011_pad_0 = const()[name = tensor("input_1011_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_1011_dilations_0 = const()[name = tensor("input_1011_dilations_0"), val = tensor([1, 1])]; - tensor input_1011_groups_0 = const()[name = tensor("input_1011_groups_0"), val = tensor(1)]; - tensor monodepth_model_monodepth_predictor_head_4_weight_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_head_4_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1293014592)))]; - tensor monodepth_model_monodepth_predictor_head_4_bias_to_fp16 = const()[name = tensor("monodepth_model_monodepth_predictor_head_4_bias_to_fp16"), val = tensor([0x1.dd8p-1, 0x1.de8p-1])]; - tensor input_1011_cast_fp16 = conv(bias = monodepth_model_monodepth_predictor_head_4_bias_to_fp16, dilations = input_1011_dilations_0, groups = input_1011_groups_0, pad = input_1011_pad_0, pad_type = input_1011_pad_type_0, strides = input_1011_strides_0, weight = monodepth_model_monodepth_predictor_head_4_weight_to_fp16, x = input_1009_cast_fp16)[name = tensor("input_1011_cast_fp16")]; - tensor monodepth_disparity_cast_fp16 = relu(x = input_1011_cast_fp16)[name = tensor("monodepth_disparity_cast_fp16")]; - tensor var_4601_axes_0 = const()[name = tensor("op_4601_axes_0"), val = tensor([1])]; - tensor disparity_factor_to_fp16_dtype_0 = const()[name = tensor("disparity_factor_to_fp16_dtype_0"), val = tensor("fp16")]; - tensor disparity_factor_to_fp16 = cast(dtype = disparity_factor_to_fp16_dtype_0, x = disparity_factor)[name = tensor("cast_5")]; - tensor op_4601_cast_fp16 = expand_dims(axes = var_4601_axes_0, x = disparity_factor_to_fp16)[name = tensor("op_4601_cast_fp16")]; - tensor var_4603_axes_0 = const()[name = tensor("op_4603_axes_0"), val = tensor([2])]; - tensor op_4603_cast_fp16 = expand_dims(axes = var_4603_axes_0, x = op_4601_cast_fp16)[name = tensor("op_4603_cast_fp16")]; - tensor disparity_factor_expanded_axes_0 = const()[name = tensor("disparity_factor_expanded_axes_0"), val = tensor([3])]; - tensor disparity_factor_expanded_cast_fp16 = expand_dims(axes = disparity_factor_expanded_axes_0, x = op_4603_cast_fp16)[name = tensor("disparity_factor_expanded_cast_fp16")]; - tensor var_4606_to_fp16 = const()[name = tensor("var_4606_to_fp16"), val = tensor(0x1.a38p-14)]; - tensor var_4607_to_fp16 = const()[name = tensor("var_4607_to_fp16"), val = tensor(0x1.388p+13)]; - tensor clip_0_cast_fp16 = clip(alpha = var_4606_to_fp16, beta = var_4607_to_fp16, x = monodepth_disparity_cast_fp16)[name = tensor("clip_0_cast_fp16")]; - tensor monodepth_cast_fp16 = real_div(x = disparity_factor_expanded_cast_fp16, y = clip_0_cast_fp16)[name = tensor("monodepth_cast_fp16")]; - tensor var_4622 = const()[name = tensor("op_4622"), val = tensor(2)]; - tensor var_4625 = const()[name = tensor("op_4625"), val = tensor(1)]; - tensor concat_4 = const()[name = tensor("concat_4"), val = tensor([1, 4718592])]; - tensor op_4629_cast_fp16 = reshape(shape = concat_4, x = monodepth_cast_fp16)[name = tensor("op_4629_cast_fp16")]; - tensor reduce_min_0_axes_0 = const()[name = tensor("reduce_min_0_axes_0"), val = tensor([-1])]; - tensor reduce_min_0_keep_dims_0 = const()[name = tensor("reduce_min_0_keep_dims_0"), val = tensor(false)]; - tensor reduce_min_0_cast_fp16 = reduce_min(axes = reduce_min_0_axes_0, keep_dims = reduce_min_0_keep_dims_0, x = op_4629_cast_fp16)[name = tensor("reduce_min_0_cast_fp16")]; - tensor var_4632_to_fp16 = const()[name = tensor("var_4632_to_fp16"), val = tensor(0x1.1p-20)]; - tensor op_4633_cast_fp16 = add(x = reduce_min_0_cast_fp16, y = var_4632_to_fp16)[name = tensor("op_4633_cast_fp16")]; - tensor var_4634_epsilon_0_to_fp16 = const()[name = tensor("var_4634_epsilon_0_to_fp16"), val = tensor(0x1.a38p-14)]; - tensor op_4634_cast_fp16 = inverse(epsilon = var_4634_epsilon_0_to_fp16, x = op_4633_cast_fp16)[name = tensor("op_4634_cast_fp16")]; - tensor var_4637_axes_0 = const()[name = tensor("op_4637_axes_0"), val = tensor([1])]; - tensor op_4637_cast_fp16 = expand_dims(axes = var_4637_axes_0, x = op_4634_cast_fp16)[name = tensor("op_4637_cast_fp16")]; - tensor var_4638_axes_0 = const()[name = tensor("op_4638_axes_0"), val = tensor([2])]; - tensor op_4638_cast_fp16 = expand_dims(axes = var_4638_axes_0, x = op_4637_cast_fp16)[name = tensor("op_4638_cast_fp16")]; - tensor var_4639_axes_0 = const()[name = tensor("op_4639_axes_0"), val = tensor([3])]; - tensor op_4639_cast_fp16 = expand_dims(axes = var_4639_axes_0, x = op_4638_cast_fp16)[name = tensor("op_4639_cast_fp16")]; - tensor op_4640_cast_fp16 = mul(x = monodepth_cast_fp16, y = op_4639_cast_fp16)[name = tensor("op_4640_cast_fp16")]; - tensor const_156_to_fp16 = const()[name = tensor("const_156_to_fp16"), val = tensor(-inf)]; - tensor var_4619_to_fp16 = const()[name = tensor("var_4619_to_fp16"), val = tensor(0x1.9p+6)]; - tensor clip_1_cast_fp16 = clip(alpha = const_156_to_fp16, beta = var_4619_to_fp16, x = op_4640_cast_fp16)[name = tensor("clip_1_cast_fp16")]; - tensor var_4642_epsilon_0_to_fp16 = const()[name = tensor("var_4642_epsilon_0_to_fp16"), val = tensor(0x1.a38p-14)]; - tensor op_4642_cast_fp16 = inverse(epsilon = var_4642_epsilon_0_to_fp16, x = op_4634_cast_fp16)[name = tensor("op_4642_cast_fp16")]; - tensor var_4646_begin_0 = const()[name = tensor("op_4646_begin_0"), val = tensor([0, 0, 0, 0])]; - tensor var_4646_end_0 = const()[name = tensor("op_4646_end_0"), val = tensor([1, 1, 1536, 1536])]; - tensor var_4646_end_mask_0 = const()[name = tensor("op_4646_end_mask_0"), val = tensor([true, false, true, true])]; - tensor op_4646_cast_fp16 = slice_by_index(begin = var_4646_begin_0, end = var_4646_end_0, end_mask = var_4646_end_mask_0, x = clip_1_cast_fp16)[name = tensor("op_4646_cast_fp16")]; - tensor var_4647_epsilon_0_to_fp16 = const()[name = tensor("var_4647_epsilon_0_to_fp16"), val = tensor(0x1.a38p-14)]; - tensor op_4647_cast_fp16 = inverse(epsilon = var_4647_epsilon_0_to_fp16, x = op_4646_cast_fp16)[name = tensor("op_4647_cast_fp16")]; - tensor var_4650 = const()[name = tensor("op_4650"), val = tensor([2, 2])]; - tensor var_4651 = const()[name = tensor("op_4651"), val = tensor([2, 2])]; - tensor disparity_3_pad_type_0 = const()[name = tensor("disparity_3_pad_type_0"), val = tensor("custom")]; - tensor disparity_3_pad_0 = const()[name = tensor("disparity_3_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor disparity_3_ceil_mode_0 = const()[name = tensor("disparity_3_ceil_mode_0"), val = tensor(false)]; - tensor disparity_3_cast_fp16 = max_pool(ceil_mode = disparity_3_ceil_mode_0, kernel_sizes = var_4650, pad = disparity_3_pad_0, pad_type = disparity_3_pad_type_0, strides = var_4651, x = op_4647_cast_fp16)[name = tensor("disparity_3_cast_fp16")]; - tensor var_4657_axes_0 = const()[name = tensor("op_4657_axes_0"), val = tensor([2])]; - tensor op_4657_cast_fp16 = expand_dims(axes = var_4657_axes_0, x = disparity_3_cast_fp16)[name = tensor("op_4657_cast_fp16")]; - tensor var_4661_begin_0 = const()[name = tensor("op_4661_begin_0"), val = tensor([0, 1, 0, 0])]; - tensor var_4661_end_0 = const()[name = tensor("op_4661_end_0"), val = tensor([1, 2, 1536, 1536])]; - tensor var_4661_end_mask_0 = const()[name = tensor("op_4661_end_mask_0"), val = tensor([true, true, true, true])]; - tensor op_4661_cast_fp16 = slice_by_index(begin = var_4661_begin_0, end = var_4661_end_0, end_mask = var_4661_end_mask_0, x = clip_1_cast_fp16)[name = tensor("op_4661_cast_fp16")]; - tensor var_4662_epsilon_0_to_fp16 = const()[name = tensor("var_4662_epsilon_0_to_fp16"), val = tensor(0x1.a38p-14)]; - tensor op_4662_cast_fp16 = inverse(epsilon = var_4662_epsilon_0_to_fp16, x = op_4661_cast_fp16)[name = tensor("op_4662_cast_fp16")]; - tensor var_4665 = const()[name = tensor("op_4665"), val = tensor([2, 2])]; - tensor var_4666 = const()[name = tensor("op_4666"), val = tensor([2, 2])]; - tensor disparity_7_pad_type_0 = const()[name = tensor("disparity_7_pad_type_0"), val = tensor("custom")]; - tensor disparity_7_pad_0 = const()[name = tensor("disparity_7_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor disparity_7_ceil_mode_0 = const()[name = tensor("disparity_7_ceil_mode_0"), val = tensor(false)]; - tensor disparity_7_cast_fp16 = max_pool(ceil_mode = disparity_7_ceil_mode_0, kernel_sizes = var_4665, pad = disparity_7_pad_0, pad_type = disparity_7_pad_type_0, strides = var_4666, x = op_4662_cast_fp16)[name = tensor("disparity_7_cast_fp16")]; - tensor var_4672_axes_0 = const()[name = tensor("op_4672_axes_0"), val = tensor([2])]; - tensor op_4672_cast_fp16 = expand_dims(axes = var_4672_axes_0, x = disparity_7_cast_fp16)[name = tensor("op_4672_cast_fp16")]; - tensor disparity_interleave_0 = const()[name = tensor("disparity_interleave_0"), val = tensor(false)]; - tensor disparity_cast_fp16 = concat(axis = var_4622, interleave = disparity_interleave_0, values = (op_4657_cast_fp16, op_4672_cast_fp16))[name = tensor("disparity_cast_fp16")]; - tensor fill_0_to_fp16 = const()[name = tensor("fill_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1293014784)))]; - tensor inverse_disparity_cast_fp16 = real_div(x = fill_0_to_fp16, y = disparity_cast_fp16)[name = tensor("inverse_disparity_cast_fp16")]; - tensor var_4710_to_fp16 = const()[name = tensor("var_4710_to_fp16"), val = tensor(0x1.554p-9)]; - tensor op_4711_cast_fp16 = mul(x = inverse_disparity_cast_fp16, y = var_4710_to_fp16)[name = tensor("op_4711_cast_fp16")]; - tensor var_4721 = const()[name = tensor("op_4721"), val = tensor([2, 2])]; - tensor var_4722 = const()[name = tensor("op_4722"), val = tensor([2, 2])]; - tensor temp_pad_type_0 = const()[name = tensor("temp_pad_type_0"), val = tensor("custom")]; - tensor temp_pad_0 = const()[name = tensor("temp_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor temp_exclude_padding_from_average_0 = const()[name = tensor("temp_exclude_padding_from_average_0"), val = tensor(false)]; - tensor temp_ceil_mode_0 = const()[name = tensor("temp_ceil_mode_0"), val = tensor(false)]; - tensor temp_cast_fp16 = avg_pool(ceil_mode = temp_ceil_mode_0, exclude_padding_from_average = temp_exclude_padding_from_average_0, kernel_sizes = var_4721, pad = temp_pad_0, pad_type = temp_pad_type_0, strides = var_4722, x = image_to_fp16)[name = tensor("temp_cast_fp16")]; - tensor var_4727_axes_0 = const()[name = tensor("op_4727_axes_0"), val = tensor([2])]; - tensor op_4727_cast_fp16 = expand_dims(axes = var_4727_axes_0, x = temp_cast_fp16)[name = tensor("op_4727_cast_fp16")]; - tensor var_4730 = const()[name = tensor("op_4730"), val = tensor([1, 1, 2, 1, 1])]; - tensor base_cast_fp16 = tile(reps = var_4730, x = op_4727_cast_fp16)[name = tensor("base_cast_fp16")]; - tensor var_4732_epsilon_0_to_fp16 = const()[name = tensor("var_4732_epsilon_0_to_fp16"), val = tensor(0x1.a38p-14)]; - tensor op_4732_cast_fp16 = inverse(epsilon = var_4732_epsilon_0_to_fp16, x = clip_1_cast_fp16)[name = tensor("op_4732_cast_fp16")]; - tensor features_in_interleave_0 = const()[name = tensor("features_in_interleave_0"), val = tensor(false)]; - tensor features_in_cast_fp16 = concat(axis = var_4625, interleave = features_in_interleave_0, values = (image_to_fp16, op_4732_cast_fp16))[name = tensor("features_in_cast_fp16")]; - tensor var_4737_to_fp16 = const()[name = tensor("var_4737_to_fp16"), val = tensor(0x1p+1)]; - tensor op_4738_cast_fp16 = mul(x = features_in_cast_fp16, y = var_4737_to_fp16)[name = tensor("op_4738_cast_fp16")]; - tensor var_4739_to_fp16 = const()[name = tensor("var_4739_to_fp16"), val = tensor(0x1p+0)]; - tensor input_1103_cast_fp16 = sub(x = op_4738_cast_fp16, y = var_4739_to_fp16)[name = tensor("input_1103_cast_fp16")]; - tensor input_1013_pad_type_0 = const()[name = tensor("input_1013_pad_type_0"), val = tensor("custom")]; - tensor input_1013_pad_0 = const()[name = tensor("input_1013_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1013_strides_0 = const()[name = tensor("input_1013_strides_0"), val = tensor([1, 1])]; - tensor input_1013_dilations_0 = const()[name = tensor("input_1013_dilations_0"), val = tensor([1, 1])]; - tensor input_1013_groups_0 = const()[name = tensor("input_1013_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_convs_4_weight_to_fp16 = const()[name = tensor("feature_model_decoder_convs_4_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1295374144)))]; - tensor input_1013_cast_fp16 = conv(dilations = input_1013_dilations_0, groups = input_1013_groups_0, pad = input_1013_pad_0, pad_type = input_1013_pad_type_0, strides = input_1013_strides_0, weight = feature_model_decoder_convs_4_weight_to_fp16, x = input_903_cast_fp16)[name = tensor("input_1013_cast_fp16")]; - tensor input_1015_cast_fp16 = relu(x = input_1013_cast_fp16)[name = tensor("input_1015_cast_fp16")]; - tensor input_1017_pad_type_0 = const()[name = tensor("input_1017_pad_type_0"), val = tensor("custom")]; - tensor input_1017_pad_0 = const()[name = tensor("input_1017_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1017_strides_0 = const()[name = tensor("input_1017_strides_0"), val = tensor([1, 1])]; - tensor input_1017_dilations_0 = const()[name = tensor("input_1017_dilations_0"), val = tensor([1, 1])]; - tensor input_1017_groups_0 = const()[name = tensor("input_1017_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_4_resnet2_residual_1_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_4_resnet2_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1297733504)))]; - tensor feature_model_decoder_fusions_4_resnet2_residual_1_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_4_resnet2_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1298028480)))]; - tensor input_1017_cast_fp16 = conv(bias = feature_model_decoder_fusions_4_resnet2_residual_1_bias_to_fp16, dilations = input_1017_dilations_0, groups = input_1017_groups_0, pad = input_1017_pad_0, pad_type = input_1017_pad_type_0, strides = input_1017_strides_0, weight = feature_model_decoder_fusions_4_resnet2_residual_1_weight_to_fp16, x = input_1015_cast_fp16)[name = tensor("input_1017_cast_fp16")]; - tensor input_1019_cast_fp16 = relu(x = input_1017_cast_fp16)[name = tensor("input_1019_cast_fp16")]; - tensor delta_x_19_pad_type_0 = const()[name = tensor("delta_x_19_pad_type_0"), val = tensor("custom")]; - tensor delta_x_19_pad_0 = const()[name = tensor("delta_x_19_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_19_strides_0 = const()[name = tensor("delta_x_19_strides_0"), val = tensor([1, 1])]; - tensor delta_x_19_dilations_0 = const()[name = tensor("delta_x_19_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_19_groups_0 = const()[name = tensor("delta_x_19_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_4_resnet2_residual_3_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_4_resnet2_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1298028800)))]; - tensor feature_model_decoder_fusions_4_resnet2_residual_3_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_4_resnet2_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1298323776)))]; - tensor delta_x_19_cast_fp16 = conv(bias = feature_model_decoder_fusions_4_resnet2_residual_3_bias_to_fp16, dilations = delta_x_19_dilations_0, groups = delta_x_19_groups_0, pad = delta_x_19_pad_0, pad_type = delta_x_19_pad_type_0, strides = delta_x_19_strides_0, weight = feature_model_decoder_fusions_4_resnet2_residual_3_weight_to_fp16, x = input_1019_cast_fp16)[name = tensor("delta_x_19_cast_fp16")]; - tensor input_1021_cast_fp16 = add(x = input_1013_cast_fp16, y = delta_x_19_cast_fp16)[name = tensor("input_1021_cast_fp16")]; - tensor input_1023_pad_type_0 = const()[name = tensor("input_1023_pad_type_0"), val = tensor("valid")]; - tensor input_1023_strides_0 = const()[name = tensor("input_1023_strides_0"), val = tensor([2, 2])]; - tensor input_1023_pad_0 = const()[name = tensor("input_1023_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_1023_dilations_0 = const()[name = tensor("input_1023_dilations_0"), val = tensor([1, 1])]; - tensor input_1023_groups_0 = const()[name = tensor("input_1023_groups_0"), val = tensor(1)]; - tensor input_1023_has_output_shape_output_shape_0 = const()[name = tensor("input_1023_has_output_shape_output_shape_0"), val = tensor([1, 128, 96, 96])]; - tensor feature_model_decoder_fusions_4_deconv_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_4_deconv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1298324096)))]; - tensor input_1023_has_output_shape_cast_fp16 = conv_transpose(dilations = input_1023_dilations_0, groups = input_1023_groups_0, output_shape = input_1023_has_output_shape_output_shape_0, pad = input_1023_pad_0, pad_type = input_1023_pad_type_0, strides = input_1023_strides_0, weight = feature_model_decoder_fusions_4_deconv_weight_to_fp16, x = input_1021_cast_fp16)[name = tensor("input_1023_has_output_shape_cast_fp16")]; - tensor x_411_pad_type_0 = const()[name = tensor("x_411_pad_type_0"), val = tensor("valid")]; - tensor x_411_strides_0 = const()[name = tensor("x_411_strides_0"), val = tensor([1, 1])]; - tensor x_411_pad_0 = const()[name = tensor("x_411_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor x_411_dilations_0 = const()[name = tensor("x_411_dilations_0"), val = tensor([1, 1])]; - tensor x_411_groups_0 = const()[name = tensor("x_411_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_4_out_conv_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_4_out_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1298455232)))]; - tensor feature_model_decoder_fusions_4_out_conv_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_4_out_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1298488064)))]; - tensor x_411_cast_fp16 = conv(bias = feature_model_decoder_fusions_4_out_conv_bias_to_fp16, dilations = x_411_dilations_0, groups = x_411_groups_0, pad = x_411_pad_0, pad_type = x_411_pad_type_0, strides = x_411_strides_0, weight = feature_model_decoder_fusions_4_out_conv_weight_to_fp16, x = input_1023_has_output_shape_cast_fp16)[name = tensor("x_411_cast_fp16")]; - tensor input_1025_pad_type_0 = const()[name = tensor("input_1025_pad_type_0"), val = tensor("custom")]; - tensor input_1025_pad_0 = const()[name = tensor("input_1025_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1025_strides_0 = const()[name = tensor("input_1025_strides_0"), val = tensor([1, 1])]; - tensor input_1025_dilations_0 = const()[name = tensor("input_1025_dilations_0"), val = tensor([1, 1])]; - tensor input_1025_groups_0 = const()[name = tensor("input_1025_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_convs_3_weight_to_fp16 = const()[name = tensor("feature_model_decoder_convs_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1298488384)))]; - tensor input_1025_cast_fp16 = conv(dilations = input_1025_dilations_0, groups = input_1025_groups_0, pad = input_1025_pad_0, pad_type = input_1025_pad_type_0, strides = input_1025_strides_0, weight = feature_model_decoder_convs_3_weight_to_fp16, x = input_917_has_output_shape_cast_fp16)[name = tensor("input_1025_cast_fp16")]; - tensor input_1027_cast_fp16 = relu(x = input_1025_cast_fp16)[name = tensor("input_1027_cast_fp16")]; - tensor input_1029_pad_type_0 = const()[name = tensor("input_1029_pad_type_0"), val = tensor("custom")]; - tensor input_1029_pad_0 = const()[name = tensor("input_1029_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1029_strides_0 = const()[name = tensor("input_1029_strides_0"), val = tensor([1, 1])]; - tensor input_1029_dilations_0 = const()[name = tensor("input_1029_dilations_0"), val = tensor([1, 1])]; - tensor input_1029_groups_0 = const()[name = tensor("input_1029_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_3_resnet1_residual_1_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_3_resnet1_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1300847744)))]; - tensor feature_model_decoder_fusions_3_resnet1_residual_1_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_3_resnet1_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1301142720)))]; - tensor input_1029_cast_fp16 = conv(bias = feature_model_decoder_fusions_3_resnet1_residual_1_bias_to_fp16, dilations = input_1029_dilations_0, groups = input_1029_groups_0, pad = input_1029_pad_0, pad_type = input_1029_pad_type_0, strides = input_1029_strides_0, weight = feature_model_decoder_fusions_3_resnet1_residual_1_weight_to_fp16, x = input_1027_cast_fp16)[name = tensor("input_1029_cast_fp16")]; - tensor input_1031_cast_fp16 = relu(x = input_1029_cast_fp16)[name = tensor("input_1031_cast_fp16")]; - tensor delta_x_21_pad_type_0 = const()[name = tensor("delta_x_21_pad_type_0"), val = tensor("custom")]; - tensor delta_x_21_pad_0 = const()[name = tensor("delta_x_21_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_21_strides_0 = const()[name = tensor("delta_x_21_strides_0"), val = tensor([1, 1])]; - tensor delta_x_21_dilations_0 = const()[name = tensor("delta_x_21_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_21_groups_0 = const()[name = tensor("delta_x_21_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_3_resnet1_residual_3_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_3_resnet1_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1301143040)))]; - tensor feature_model_decoder_fusions_3_resnet1_residual_3_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_3_resnet1_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1301438016)))]; - tensor delta_x_21_cast_fp16 = conv(bias = feature_model_decoder_fusions_3_resnet1_residual_3_bias_to_fp16, dilations = delta_x_21_dilations_0, groups = delta_x_21_groups_0, pad = delta_x_21_pad_0, pad_type = delta_x_21_pad_type_0, strides = delta_x_21_strides_0, weight = feature_model_decoder_fusions_3_resnet1_residual_3_weight_to_fp16, x = input_1031_cast_fp16)[name = tensor("delta_x_21_cast_fp16")]; - tensor y_9_cast_fp16 = add(x = input_1025_cast_fp16, y = delta_x_21_cast_fp16)[name = tensor("y_9_cast_fp16")]; - tensor input_1033_cast_fp16 = add(x = x_411_cast_fp16, y = y_9_cast_fp16)[name = tensor("input_1033_cast_fp16")]; - tensor input_1035_cast_fp16 = relu(x = input_1033_cast_fp16)[name = tensor("input_1035_cast_fp16")]; - tensor input_1037_pad_type_0 = const()[name = tensor("input_1037_pad_type_0"), val = tensor("custom")]; - tensor input_1037_pad_0 = const()[name = tensor("input_1037_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1037_strides_0 = const()[name = tensor("input_1037_strides_0"), val = tensor([1, 1])]; - tensor input_1037_dilations_0 = const()[name = tensor("input_1037_dilations_0"), val = tensor([1, 1])]; - tensor input_1037_groups_0 = const()[name = tensor("input_1037_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_3_resnet2_residual_1_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_3_resnet2_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1301438336)))]; - tensor feature_model_decoder_fusions_3_resnet2_residual_1_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_3_resnet2_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1301733312)))]; - tensor input_1037_cast_fp16 = conv(bias = feature_model_decoder_fusions_3_resnet2_residual_1_bias_to_fp16, dilations = input_1037_dilations_0, groups = input_1037_groups_0, pad = input_1037_pad_0, pad_type = input_1037_pad_type_0, strides = input_1037_strides_0, weight = feature_model_decoder_fusions_3_resnet2_residual_1_weight_to_fp16, x = input_1035_cast_fp16)[name = tensor("input_1037_cast_fp16")]; - tensor input_1039_cast_fp16 = relu(x = input_1037_cast_fp16)[name = tensor("input_1039_cast_fp16")]; - tensor delta_x_23_pad_type_0 = const()[name = tensor("delta_x_23_pad_type_0"), val = tensor("custom")]; - tensor delta_x_23_pad_0 = const()[name = tensor("delta_x_23_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_23_strides_0 = const()[name = tensor("delta_x_23_strides_0"), val = tensor([1, 1])]; - tensor delta_x_23_dilations_0 = const()[name = tensor("delta_x_23_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_23_groups_0 = const()[name = tensor("delta_x_23_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_3_resnet2_residual_3_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_3_resnet2_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1301733632)))]; - tensor feature_model_decoder_fusions_3_resnet2_residual_3_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_3_resnet2_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1302028608)))]; - tensor delta_x_23_cast_fp16 = conv(bias = feature_model_decoder_fusions_3_resnet2_residual_3_bias_to_fp16, dilations = delta_x_23_dilations_0, groups = delta_x_23_groups_0, pad = delta_x_23_pad_0, pad_type = delta_x_23_pad_type_0, strides = delta_x_23_strides_0, weight = feature_model_decoder_fusions_3_resnet2_residual_3_weight_to_fp16, x = input_1039_cast_fp16)[name = tensor("delta_x_23_cast_fp16")]; - tensor input_1041_cast_fp16 = add(x = input_1033_cast_fp16, y = delta_x_23_cast_fp16)[name = tensor("input_1041_cast_fp16")]; - tensor input_1043_pad_type_0 = const()[name = tensor("input_1043_pad_type_0"), val = tensor("valid")]; - tensor input_1043_strides_0 = const()[name = tensor("input_1043_strides_0"), val = tensor([2, 2])]; - tensor input_1043_pad_0 = const()[name = tensor("input_1043_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_1043_dilations_0 = const()[name = tensor("input_1043_dilations_0"), val = tensor([1, 1])]; - tensor input_1043_groups_0 = const()[name = tensor("input_1043_groups_0"), val = tensor(1)]; - tensor input_1043_has_output_shape_output_shape_0 = const()[name = tensor("input_1043_has_output_shape_output_shape_0"), val = tensor([1, 128, 192, 192])]; - tensor feature_model_decoder_fusions_3_deconv_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_3_deconv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1302028928)))]; - tensor input_1043_has_output_shape_cast_fp16 = conv_transpose(dilations = input_1043_dilations_0, groups = input_1043_groups_0, output_shape = input_1043_has_output_shape_output_shape_0, pad = input_1043_pad_0, pad_type = input_1043_pad_type_0, strides = input_1043_strides_0, weight = feature_model_decoder_fusions_3_deconv_weight_to_fp16, x = input_1041_cast_fp16)[name = tensor("input_1043_has_output_shape_cast_fp16")]; - tensor x_413_pad_type_0 = const()[name = tensor("x_413_pad_type_0"), val = tensor("valid")]; - tensor x_413_strides_0 = const()[name = tensor("x_413_strides_0"), val = tensor([1, 1])]; - tensor x_413_pad_0 = const()[name = tensor("x_413_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor x_413_dilations_0 = const()[name = tensor("x_413_dilations_0"), val = tensor([1, 1])]; - tensor x_413_groups_0 = const()[name = tensor("x_413_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_3_out_conv_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_3_out_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1302160064)))]; - tensor feature_model_decoder_fusions_3_out_conv_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_3_out_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1302192896)))]; - tensor x_413_cast_fp16 = conv(bias = feature_model_decoder_fusions_3_out_conv_bias_to_fp16, dilations = x_413_dilations_0, groups = x_413_groups_0, pad = x_413_pad_0, pad_type = x_413_pad_type_0, strides = x_413_strides_0, weight = feature_model_decoder_fusions_3_out_conv_weight_to_fp16, x = input_1043_has_output_shape_cast_fp16)[name = tensor("x_413_cast_fp16")]; - tensor input_1045_pad_type_0 = const()[name = tensor("input_1045_pad_type_0"), val = tensor("custom")]; - tensor input_1045_pad_0 = const()[name = tensor("input_1045_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1045_strides_0 = const()[name = tensor("input_1045_strides_0"), val = tensor([1, 1])]; - tensor input_1045_dilations_0 = const()[name = tensor("input_1045_dilations_0"), val = tensor([1, 1])]; - tensor input_1045_groups_0 = const()[name = tensor("input_1045_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_convs_2_weight_to_fp16 = const()[name = tensor("feature_model_decoder_convs_2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1302193216)))]; - tensor input_1045_cast_fp16 = conv(dilations = input_1045_dilations_0, groups = input_1045_groups_0, pad = input_1045_pad_0, pad_type = input_1045_pad_type_0, strides = input_1045_strides_0, weight = feature_model_decoder_convs_2_weight_to_fp16, x = input_939_has_output_shape_cast_fp16)[name = tensor("input_1045_cast_fp16")]; - tensor input_1047_cast_fp16 = relu(x = input_1045_cast_fp16)[name = tensor("input_1047_cast_fp16")]; - tensor input_1049_pad_type_0 = const()[name = tensor("input_1049_pad_type_0"), val = tensor("custom")]; - tensor input_1049_pad_0 = const()[name = tensor("input_1049_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1049_strides_0 = const()[name = tensor("input_1049_strides_0"), val = tensor([1, 1])]; - tensor input_1049_dilations_0 = const()[name = tensor("input_1049_dilations_0"), val = tensor([1, 1])]; - tensor input_1049_groups_0 = const()[name = tensor("input_1049_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_2_resnet1_residual_1_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_2_resnet1_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1303372928)))]; - tensor feature_model_decoder_fusions_2_resnet1_residual_1_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_2_resnet1_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1303667904)))]; - tensor input_1049_cast_fp16 = conv(bias = feature_model_decoder_fusions_2_resnet1_residual_1_bias_to_fp16, dilations = input_1049_dilations_0, groups = input_1049_groups_0, pad = input_1049_pad_0, pad_type = input_1049_pad_type_0, strides = input_1049_strides_0, weight = feature_model_decoder_fusions_2_resnet1_residual_1_weight_to_fp16, x = input_1047_cast_fp16)[name = tensor("input_1049_cast_fp16")]; - tensor input_1051_cast_fp16 = relu(x = input_1049_cast_fp16)[name = tensor("input_1051_cast_fp16")]; - tensor delta_x_25_pad_type_0 = const()[name = tensor("delta_x_25_pad_type_0"), val = tensor("custom")]; - tensor delta_x_25_pad_0 = const()[name = tensor("delta_x_25_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_25_strides_0 = const()[name = tensor("delta_x_25_strides_0"), val = tensor([1, 1])]; - tensor delta_x_25_dilations_0 = const()[name = tensor("delta_x_25_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_25_groups_0 = const()[name = tensor("delta_x_25_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_2_resnet1_residual_3_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_2_resnet1_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1303668224)))]; - tensor feature_model_decoder_fusions_2_resnet1_residual_3_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_2_resnet1_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1303963200)))]; - tensor delta_x_25_cast_fp16 = conv(bias = feature_model_decoder_fusions_2_resnet1_residual_3_bias_to_fp16, dilations = delta_x_25_dilations_0, groups = delta_x_25_groups_0, pad = delta_x_25_pad_0, pad_type = delta_x_25_pad_type_0, strides = delta_x_25_strides_0, weight = feature_model_decoder_fusions_2_resnet1_residual_3_weight_to_fp16, x = input_1051_cast_fp16)[name = tensor("delta_x_25_cast_fp16")]; - tensor y_11_cast_fp16 = add(x = input_1045_cast_fp16, y = delta_x_25_cast_fp16)[name = tensor("y_11_cast_fp16")]; - tensor input_1053_cast_fp16 = add(x = x_413_cast_fp16, y = y_11_cast_fp16)[name = tensor("input_1053_cast_fp16")]; - tensor input_1055_cast_fp16 = relu(x = input_1053_cast_fp16)[name = tensor("input_1055_cast_fp16")]; - tensor input_1057_pad_type_0 = const()[name = tensor("input_1057_pad_type_0"), val = tensor("custom")]; - tensor input_1057_pad_0 = const()[name = tensor("input_1057_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1057_strides_0 = const()[name = tensor("input_1057_strides_0"), val = tensor([1, 1])]; - tensor input_1057_dilations_0 = const()[name = tensor("input_1057_dilations_0"), val = tensor([1, 1])]; - tensor input_1057_groups_0 = const()[name = tensor("input_1057_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_2_resnet2_residual_1_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_2_resnet2_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1303963520)))]; - tensor feature_model_decoder_fusions_2_resnet2_residual_1_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_2_resnet2_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1304258496)))]; - tensor input_1057_cast_fp16 = conv(bias = feature_model_decoder_fusions_2_resnet2_residual_1_bias_to_fp16, dilations = input_1057_dilations_0, groups = input_1057_groups_0, pad = input_1057_pad_0, pad_type = input_1057_pad_type_0, strides = input_1057_strides_0, weight = feature_model_decoder_fusions_2_resnet2_residual_1_weight_to_fp16, x = input_1055_cast_fp16)[name = tensor("input_1057_cast_fp16")]; - tensor input_1059_cast_fp16 = relu(x = input_1057_cast_fp16)[name = tensor("input_1059_cast_fp16")]; - tensor delta_x_27_pad_type_0 = const()[name = tensor("delta_x_27_pad_type_0"), val = tensor("custom")]; - tensor delta_x_27_pad_0 = const()[name = tensor("delta_x_27_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_27_strides_0 = const()[name = tensor("delta_x_27_strides_0"), val = tensor([1, 1])]; - tensor delta_x_27_dilations_0 = const()[name = tensor("delta_x_27_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_27_groups_0 = const()[name = tensor("delta_x_27_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_2_resnet2_residual_3_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_2_resnet2_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1304258816)))]; - tensor feature_model_decoder_fusions_2_resnet2_residual_3_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_2_resnet2_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1304553792)))]; - tensor delta_x_27_cast_fp16 = conv(bias = feature_model_decoder_fusions_2_resnet2_residual_3_bias_to_fp16, dilations = delta_x_27_dilations_0, groups = delta_x_27_groups_0, pad = delta_x_27_pad_0, pad_type = delta_x_27_pad_type_0, strides = delta_x_27_strides_0, weight = feature_model_decoder_fusions_2_resnet2_residual_3_weight_to_fp16, x = input_1059_cast_fp16)[name = tensor("delta_x_27_cast_fp16")]; - tensor input_1061_cast_fp16 = add(x = input_1053_cast_fp16, y = delta_x_27_cast_fp16)[name = tensor("input_1061_cast_fp16")]; - tensor input_1063_pad_type_0 = const()[name = tensor("input_1063_pad_type_0"), val = tensor("valid")]; - tensor input_1063_strides_0 = const()[name = tensor("input_1063_strides_0"), val = tensor([2, 2])]; - tensor input_1063_pad_0 = const()[name = tensor("input_1063_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_1063_dilations_0 = const()[name = tensor("input_1063_dilations_0"), val = tensor([1, 1])]; - tensor input_1063_groups_0 = const()[name = tensor("input_1063_groups_0"), val = tensor(1)]; - tensor input_1063_has_output_shape_output_shape_0 = const()[name = tensor("input_1063_has_output_shape_output_shape_0"), val = tensor([1, 128, 384, 384])]; - tensor feature_model_decoder_fusions_2_deconv_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_2_deconv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1304554112)))]; - tensor input_1063_has_output_shape_cast_fp16 = conv_transpose(dilations = input_1063_dilations_0, groups = input_1063_groups_0, output_shape = input_1063_has_output_shape_output_shape_0, pad = input_1063_pad_0, pad_type = input_1063_pad_type_0, strides = input_1063_strides_0, weight = feature_model_decoder_fusions_2_deconv_weight_to_fp16, x = input_1061_cast_fp16)[name = tensor("input_1063_has_output_shape_cast_fp16")]; - tensor x_415_pad_type_0 = const()[name = tensor("x_415_pad_type_0"), val = tensor("valid")]; - tensor x_415_strides_0 = const()[name = tensor("x_415_strides_0"), val = tensor([1, 1])]; - tensor x_415_pad_0 = const()[name = tensor("x_415_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor x_415_dilations_0 = const()[name = tensor("x_415_dilations_0"), val = tensor([1, 1])]; - tensor x_415_groups_0 = const()[name = tensor("x_415_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_2_out_conv_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_2_out_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1304685248)))]; - tensor feature_model_decoder_fusions_2_out_conv_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_2_out_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1304718080)))]; - tensor x_415_cast_fp16 = conv(bias = feature_model_decoder_fusions_2_out_conv_bias_to_fp16, dilations = x_415_dilations_0, groups = x_415_groups_0, pad = x_415_pad_0, pad_type = x_415_pad_type_0, strides = x_415_strides_0, weight = feature_model_decoder_fusions_2_out_conv_weight_to_fp16, x = input_1063_has_output_shape_cast_fp16)[name = tensor("x_415_cast_fp16")]; - tensor input_1065_pad_type_0 = const()[name = tensor("input_1065_pad_type_0"), val = tensor("custom")]; - tensor input_1065_pad_0 = const()[name = tensor("input_1065_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1065_strides_0 = const()[name = tensor("input_1065_strides_0"), val = tensor([1, 1])]; - tensor input_1065_dilations_0 = const()[name = tensor("input_1065_dilations_0"), val = tensor([1, 1])]; - tensor input_1065_groups_0 = const()[name = tensor("input_1065_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_convs_1_weight_to_fp16 = const()[name = tensor("feature_model_decoder_convs_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1304718400)))]; - tensor input_1065_cast_fp16 = conv(dilations = input_1065_dilations_0, groups = input_1065_groups_0, pad = input_1065_pad_0, pad_type = input_1065_pad_type_0, strides = input_1065_strides_0, weight = feature_model_decoder_convs_1_weight_to_fp16, x = input_961_has_output_shape_cast_fp16)[name = tensor("input_1065_cast_fp16")]; - tensor input_1067_cast_fp16 = relu(x = input_1065_cast_fp16)[name = tensor("input_1067_cast_fp16")]; - tensor input_1069_pad_type_0 = const()[name = tensor("input_1069_pad_type_0"), val = tensor("custom")]; - tensor input_1069_pad_0 = const()[name = tensor("input_1069_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1069_strides_0 = const()[name = tensor("input_1069_strides_0"), val = tensor([1, 1])]; - tensor input_1069_dilations_0 = const()[name = tensor("input_1069_dilations_0"), val = tensor([1, 1])]; - tensor input_1069_groups_0 = const()[name = tensor("input_1069_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_1_resnet1_residual_1_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_1_resnet1_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1305308288)))]; - tensor feature_model_decoder_fusions_1_resnet1_residual_1_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_1_resnet1_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1305603264)))]; - tensor input_1069_cast_fp16 = conv(bias = feature_model_decoder_fusions_1_resnet1_residual_1_bias_to_fp16, dilations = input_1069_dilations_0, groups = input_1069_groups_0, pad = input_1069_pad_0, pad_type = input_1069_pad_type_0, strides = input_1069_strides_0, weight = feature_model_decoder_fusions_1_resnet1_residual_1_weight_to_fp16, x = input_1067_cast_fp16)[name = tensor("input_1069_cast_fp16")]; - tensor input_1071_cast_fp16 = relu(x = input_1069_cast_fp16)[name = tensor("input_1071_cast_fp16")]; - tensor delta_x_29_pad_type_0 = const()[name = tensor("delta_x_29_pad_type_0"), val = tensor("custom")]; - tensor delta_x_29_pad_0 = const()[name = tensor("delta_x_29_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_29_strides_0 = const()[name = tensor("delta_x_29_strides_0"), val = tensor([1, 1])]; - tensor delta_x_29_dilations_0 = const()[name = tensor("delta_x_29_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_29_groups_0 = const()[name = tensor("delta_x_29_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_1_resnet1_residual_3_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_1_resnet1_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1305603584)))]; - tensor feature_model_decoder_fusions_1_resnet1_residual_3_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_1_resnet1_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1305898560)))]; - tensor delta_x_29_cast_fp16 = conv(bias = feature_model_decoder_fusions_1_resnet1_residual_3_bias_to_fp16, dilations = delta_x_29_dilations_0, groups = delta_x_29_groups_0, pad = delta_x_29_pad_0, pad_type = delta_x_29_pad_type_0, strides = delta_x_29_strides_0, weight = feature_model_decoder_fusions_1_resnet1_residual_3_weight_to_fp16, x = input_1071_cast_fp16)[name = tensor("delta_x_29_cast_fp16")]; - tensor y_13_cast_fp16 = add(x = input_1065_cast_fp16, y = delta_x_29_cast_fp16)[name = tensor("y_13_cast_fp16")]; - tensor input_1073_cast_fp16 = add(x = x_415_cast_fp16, y = y_13_cast_fp16)[name = tensor("input_1073_cast_fp16")]; - tensor input_1075_cast_fp16 = relu(x = input_1073_cast_fp16)[name = tensor("input_1075_cast_fp16")]; - tensor input_1077_pad_type_0 = const()[name = tensor("input_1077_pad_type_0"), val = tensor("custom")]; - tensor input_1077_pad_0 = const()[name = tensor("input_1077_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1077_strides_0 = const()[name = tensor("input_1077_strides_0"), val = tensor([1, 1])]; - tensor input_1077_dilations_0 = const()[name = tensor("input_1077_dilations_0"), val = tensor([1, 1])]; - tensor input_1077_groups_0 = const()[name = tensor("input_1077_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_1_resnet2_residual_1_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_1_resnet2_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1305898880)))]; - tensor feature_model_decoder_fusions_1_resnet2_residual_1_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_1_resnet2_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1306193856)))]; - tensor input_1077_cast_fp16 = conv(bias = feature_model_decoder_fusions_1_resnet2_residual_1_bias_to_fp16, dilations = input_1077_dilations_0, groups = input_1077_groups_0, pad = input_1077_pad_0, pad_type = input_1077_pad_type_0, strides = input_1077_strides_0, weight = feature_model_decoder_fusions_1_resnet2_residual_1_weight_to_fp16, x = input_1075_cast_fp16)[name = tensor("input_1077_cast_fp16")]; - tensor input_1079_cast_fp16 = relu(x = input_1077_cast_fp16)[name = tensor("input_1079_cast_fp16")]; - tensor delta_x_31_pad_type_0 = const()[name = tensor("delta_x_31_pad_type_0"), val = tensor("custom")]; - tensor delta_x_31_pad_0 = const()[name = tensor("delta_x_31_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_31_strides_0 = const()[name = tensor("delta_x_31_strides_0"), val = tensor([1, 1])]; - tensor delta_x_31_dilations_0 = const()[name = tensor("delta_x_31_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_31_groups_0 = const()[name = tensor("delta_x_31_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_1_resnet2_residual_3_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_1_resnet2_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1306194176)))]; - tensor feature_model_decoder_fusions_1_resnet2_residual_3_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_1_resnet2_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1306489152)))]; - tensor delta_x_31_cast_fp16 = conv(bias = feature_model_decoder_fusions_1_resnet2_residual_3_bias_to_fp16, dilations = delta_x_31_dilations_0, groups = delta_x_31_groups_0, pad = delta_x_31_pad_0, pad_type = delta_x_31_pad_type_0, strides = delta_x_31_strides_0, weight = feature_model_decoder_fusions_1_resnet2_residual_3_weight_to_fp16, x = input_1079_cast_fp16)[name = tensor("delta_x_31_cast_fp16")]; - tensor input_1081_cast_fp16 = add(x = input_1073_cast_fp16, y = delta_x_31_cast_fp16)[name = tensor("input_1081_cast_fp16")]; - tensor input_1083_pad_type_0 = const()[name = tensor("input_1083_pad_type_0"), val = tensor("valid")]; - tensor input_1083_strides_0 = const()[name = tensor("input_1083_strides_0"), val = tensor([2, 2])]; - tensor input_1083_pad_0 = const()[name = tensor("input_1083_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_1083_dilations_0 = const()[name = tensor("input_1083_dilations_0"), val = tensor([1, 1])]; - tensor input_1083_groups_0 = const()[name = tensor("input_1083_groups_0"), val = tensor(1)]; - tensor input_1083_has_output_shape_output_shape_0 = const()[name = tensor("input_1083_has_output_shape_output_shape_0"), val = tensor([1, 128, 768, 768])]; - tensor feature_model_decoder_fusions_1_deconv_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_1_deconv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1306489472)))]; - tensor input_1083_has_output_shape_cast_fp16 = conv_transpose(dilations = input_1083_dilations_0, groups = input_1083_groups_0, output_shape = input_1083_has_output_shape_output_shape_0, pad = input_1083_pad_0, pad_type = input_1083_pad_type_0, strides = input_1083_strides_0, weight = feature_model_decoder_fusions_1_deconv_weight_to_fp16, x = input_1081_cast_fp16)[name = tensor("input_1083_has_output_shape_cast_fp16")]; - tensor x_417_pad_type_0 = const()[name = tensor("x_417_pad_type_0"), val = tensor("valid")]; - tensor x_417_strides_0 = const()[name = tensor("x_417_strides_0"), val = tensor([1, 1])]; - tensor x_417_pad_0 = const()[name = tensor("x_417_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor x_417_dilations_0 = const()[name = tensor("x_417_dilations_0"), val = tensor([1, 1])]; - tensor x_417_groups_0 = const()[name = tensor("x_417_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_1_out_conv_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_1_out_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1306620608)))]; - tensor feature_model_decoder_fusions_1_out_conv_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_1_out_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1306653440)))]; - tensor x_417_cast_fp16 = conv(bias = feature_model_decoder_fusions_1_out_conv_bias_to_fp16, dilations = x_417_dilations_0, groups = x_417_groups_0, pad = x_417_pad_0, pad_type = x_417_pad_type_0, strides = x_417_strides_0, weight = feature_model_decoder_fusions_1_out_conv_weight_to_fp16, x = input_1083_has_output_shape_cast_fp16)[name = tensor("x_417_cast_fp16")]; - tensor input_1085_pad_type_0 = const()[name = tensor("input_1085_pad_type_0"), val = tensor("valid")]; - tensor input_1085_strides_0 = const()[name = tensor("input_1085_strides_0"), val = tensor([1, 1])]; - tensor input_1085_pad_0 = const()[name = tensor("input_1085_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_1085_dilations_0 = const()[name = tensor("input_1085_dilations_0"), val = tensor([1, 1])]; - tensor input_1085_groups_0 = const()[name = tensor("input_1085_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_convs_0_weight_to_fp16 = const()[name = tensor("feature_model_decoder_convs_0_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1306653760)))]; - tensor input_1085_cast_fp16 = conv(dilations = input_1085_dilations_0, groups = input_1085_groups_0, pad = input_1085_pad_0, pad_type = input_1085_pad_type_0, strides = input_1085_strides_0, weight = feature_model_decoder_convs_0_weight_to_fp16, x = input_983_has_output_shape_cast_fp16)[name = tensor("input_1085_cast_fp16")]; - tensor input_1087_cast_fp16 = relu(x = input_1085_cast_fp16)[name = tensor("input_1087_cast_fp16")]; - tensor input_1089_pad_type_0 = const()[name = tensor("input_1089_pad_type_0"), val = tensor("custom")]; - tensor input_1089_pad_0 = const()[name = tensor("input_1089_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1089_strides_0 = const()[name = tensor("input_1089_strides_0"), val = tensor([1, 1])]; - tensor input_1089_dilations_0 = const()[name = tensor("input_1089_dilations_0"), val = tensor([1, 1])]; - tensor input_1089_groups_0 = const()[name = tensor("input_1089_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_0_resnet1_residual_1_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_0_resnet1_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1306719360)))]; - tensor feature_model_decoder_fusions_0_resnet1_residual_1_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_0_resnet1_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1307014336)))]; - tensor input_1089_cast_fp16 = conv(bias = feature_model_decoder_fusions_0_resnet1_residual_1_bias_to_fp16, dilations = input_1089_dilations_0, groups = input_1089_groups_0, pad = input_1089_pad_0, pad_type = input_1089_pad_type_0, strides = input_1089_strides_0, weight = feature_model_decoder_fusions_0_resnet1_residual_1_weight_to_fp16, x = input_1087_cast_fp16)[name = tensor("input_1089_cast_fp16")]; - tensor input_1091_cast_fp16 = relu(x = input_1089_cast_fp16)[name = tensor("input_1091_cast_fp16")]; - tensor delta_x_33_pad_type_0 = const()[name = tensor("delta_x_33_pad_type_0"), val = tensor("custom")]; - tensor delta_x_33_pad_0 = const()[name = tensor("delta_x_33_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_33_strides_0 = const()[name = tensor("delta_x_33_strides_0"), val = tensor([1, 1])]; - tensor delta_x_33_dilations_0 = const()[name = tensor("delta_x_33_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_33_groups_0 = const()[name = tensor("delta_x_33_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_0_resnet1_residual_3_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_0_resnet1_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1307014656)))]; - tensor feature_model_decoder_fusions_0_resnet1_residual_3_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_0_resnet1_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1307309632)))]; - tensor delta_x_33_cast_fp16 = conv(bias = feature_model_decoder_fusions_0_resnet1_residual_3_bias_to_fp16, dilations = delta_x_33_dilations_0, groups = delta_x_33_groups_0, pad = delta_x_33_pad_0, pad_type = delta_x_33_pad_type_0, strides = delta_x_33_strides_0, weight = feature_model_decoder_fusions_0_resnet1_residual_3_weight_to_fp16, x = input_1091_cast_fp16)[name = tensor("delta_x_33_cast_fp16")]; - tensor y_15_cast_fp16 = add(x = input_1085_cast_fp16, y = delta_x_33_cast_fp16)[name = tensor("y_15_cast_fp16")]; - tensor input_1093_cast_fp16 = add(x = x_417_cast_fp16, y = y_15_cast_fp16)[name = tensor("input_1093_cast_fp16")]; - tensor input_1095_cast_fp16 = relu(x = input_1093_cast_fp16)[name = tensor("input_1095_cast_fp16")]; - tensor input_1097_pad_type_0 = const()[name = tensor("input_1097_pad_type_0"), val = tensor("custom")]; - tensor input_1097_pad_0 = const()[name = tensor("input_1097_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1097_strides_0 = const()[name = tensor("input_1097_strides_0"), val = tensor([1, 1])]; - tensor input_1097_dilations_0 = const()[name = tensor("input_1097_dilations_0"), val = tensor([1, 1])]; - tensor input_1097_groups_0 = const()[name = tensor("input_1097_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_0_resnet2_residual_1_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_0_resnet2_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1307309952)))]; - tensor feature_model_decoder_fusions_0_resnet2_residual_1_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_0_resnet2_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1307604928)))]; - tensor input_1097_cast_fp16 = conv(bias = feature_model_decoder_fusions_0_resnet2_residual_1_bias_to_fp16, dilations = input_1097_dilations_0, groups = input_1097_groups_0, pad = input_1097_pad_0, pad_type = input_1097_pad_type_0, strides = input_1097_strides_0, weight = feature_model_decoder_fusions_0_resnet2_residual_1_weight_to_fp16, x = input_1095_cast_fp16)[name = tensor("input_1097_cast_fp16")]; - tensor input_1099_cast_fp16 = relu(x = input_1097_cast_fp16)[name = tensor("input_1099_cast_fp16")]; - tensor delta_x_35_pad_type_0 = const()[name = tensor("delta_x_35_pad_type_0"), val = tensor("custom")]; - tensor delta_x_35_pad_0 = const()[name = tensor("delta_x_35_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_35_strides_0 = const()[name = tensor("delta_x_35_strides_0"), val = tensor([1, 1])]; - tensor delta_x_35_dilations_0 = const()[name = tensor("delta_x_35_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_35_groups_0 = const()[name = tensor("delta_x_35_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_0_resnet2_residual_3_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_0_resnet2_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1307605248)))]; - tensor feature_model_decoder_fusions_0_resnet2_residual_3_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_0_resnet2_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1307900224)))]; - tensor delta_x_35_cast_fp16 = conv(bias = feature_model_decoder_fusions_0_resnet2_residual_3_bias_to_fp16, dilations = delta_x_35_dilations_0, groups = delta_x_35_groups_0, pad = delta_x_35_pad_0, pad_type = delta_x_35_pad_type_0, strides = delta_x_35_strides_0, weight = feature_model_decoder_fusions_0_resnet2_residual_3_weight_to_fp16, x = input_1099_cast_fp16)[name = tensor("delta_x_35_cast_fp16")]; - tensor input_1101_cast_fp16 = add(x = input_1093_cast_fp16, y = delta_x_35_cast_fp16)[name = tensor("input_1101_cast_fp16")]; - tensor var_5074_pad_type_0 = const()[name = tensor("op_5074_pad_type_0"), val = tensor("valid")]; - tensor var_5074_strides_0 = const()[name = tensor("op_5074_strides_0"), val = tensor([1, 1])]; - tensor var_5074_pad_0 = const()[name = tensor("op_5074_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor var_5074_dilations_0 = const()[name = tensor("op_5074_dilations_0"), val = tensor([1, 1])]; - tensor var_5074_groups_0 = const()[name = tensor("op_5074_groups_0"), val = tensor(1)]; - tensor feature_model_decoder_fusions_0_out_conv_weight_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_0_out_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1307900544)))]; - tensor feature_model_decoder_fusions_0_out_conv_bias_to_fp16 = const()[name = tensor("feature_model_decoder_fusions_0_out_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1307933376)))]; - tensor op_5074_cast_fp16 = conv(bias = feature_model_decoder_fusions_0_out_conv_bias_to_fp16, dilations = var_5074_dilations_0, groups = var_5074_groups_0, pad = var_5074_pad_0, pad_type = var_5074_pad_type_0, strides = var_5074_strides_0, weight = feature_model_decoder_fusions_0_out_conv_weight_to_fp16, x = input_1101_cast_fp16)[name = tensor("op_5074_cast_fp16")]; - tensor input_1105_pad_type_0 = const()[name = tensor("input_1105_pad_type_0"), val = tensor("valid")]; - tensor input_1105_strides_0 = const()[name = tensor("input_1105_strides_0"), val = tensor([2, 2])]; - tensor input_1105_pad_0 = const()[name = tensor("input_1105_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_1105_dilations_0 = const()[name = tensor("input_1105_dilations_0"), val = tensor([1, 1])]; - tensor input_1105_groups_0 = const()[name = tensor("input_1105_groups_0"), val = tensor(1)]; - tensor feature_model_image_encoder_conv_weight_to_fp16 = const()[name = tensor("feature_model_image_encoder_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1307933696)))]; - tensor feature_model_image_encoder_conv_bias_to_fp16 = const()[name = tensor("feature_model_image_encoder_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1307938880)))]; - tensor input_1105_cast_fp16 = conv(bias = feature_model_image_encoder_conv_bias_to_fp16, dilations = input_1105_dilations_0, groups = input_1105_groups_0, pad = input_1105_pad_0, pad_type = input_1105_pad_type_0, strides = input_1105_strides_0, weight = feature_model_image_encoder_conv_weight_to_fp16, x = input_1103_cast_fp16)[name = tensor("input_1105_cast_fp16")]; - tensor input_1107_cast_fp16 = relu(x = input_1105_cast_fp16)[name = tensor("input_1107_cast_fp16")]; - tensor input_1109_pad_type_0 = const()[name = tensor("input_1109_pad_type_0"), val = tensor("custom")]; - tensor input_1109_pad_0 = const()[name = tensor("input_1109_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1109_strides_0 = const()[name = tensor("input_1109_strides_0"), val = tensor([1, 1])]; - tensor input_1109_dilations_0 = const()[name = tensor("input_1109_dilations_0"), val = tensor([1, 1])]; - tensor input_1109_groups_0 = const()[name = tensor("input_1109_groups_0"), val = tensor(1)]; - tensor feature_model_fusion_resnet1_residual_1_weight_to_fp16 = const()[name = tensor("feature_model_fusion_resnet1_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1307939200)))]; - tensor feature_model_fusion_resnet1_residual_1_bias_to_fp16 = const()[name = tensor("feature_model_fusion_resnet1_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1308234176)))]; - tensor input_1109_cast_fp16 = conv(bias = feature_model_fusion_resnet1_residual_1_bias_to_fp16, dilations = input_1109_dilations_0, groups = input_1109_groups_0, pad = input_1109_pad_0, pad_type = input_1109_pad_type_0, strides = input_1109_strides_0, weight = feature_model_fusion_resnet1_residual_1_weight_to_fp16, x = input_1107_cast_fp16)[name = tensor("input_1109_cast_fp16")]; - tensor input_1111_cast_fp16 = relu(x = input_1109_cast_fp16)[name = tensor("input_1111_cast_fp16")]; - tensor delta_x_37_pad_type_0 = const()[name = tensor("delta_x_37_pad_type_0"), val = tensor("custom")]; - tensor delta_x_37_pad_0 = const()[name = tensor("delta_x_37_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_37_strides_0 = const()[name = tensor("delta_x_37_strides_0"), val = tensor([1, 1])]; - tensor delta_x_37_dilations_0 = const()[name = tensor("delta_x_37_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_37_groups_0 = const()[name = tensor("delta_x_37_groups_0"), val = tensor(1)]; - tensor feature_model_fusion_resnet1_residual_3_weight_to_fp16 = const()[name = tensor("feature_model_fusion_resnet1_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1308234496)))]; - tensor feature_model_fusion_resnet1_residual_3_bias_to_fp16 = const()[name = tensor("feature_model_fusion_resnet1_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1308529472)))]; - tensor delta_x_37_cast_fp16 = conv(bias = feature_model_fusion_resnet1_residual_3_bias_to_fp16, dilations = delta_x_37_dilations_0, groups = delta_x_37_groups_0, pad = delta_x_37_pad_0, pad_type = delta_x_37_pad_type_0, strides = delta_x_37_strides_0, weight = feature_model_fusion_resnet1_residual_3_weight_to_fp16, x = input_1111_cast_fp16)[name = tensor("delta_x_37_cast_fp16")]; - tensor y_cast_fp16 = add(x = input_1105_cast_fp16, y = delta_x_37_cast_fp16)[name = tensor("y_cast_fp16")]; - tensor input_1113_cast_fp16 = add(x = op_5074_cast_fp16, y = y_cast_fp16)[name = tensor("input_1113_cast_fp16")]; - tensor input_1115_cast_fp16 = relu(x = input_1113_cast_fp16)[name = tensor("input_1115_cast_fp16")]; - tensor input_1117_pad_type_0 = const()[name = tensor("input_1117_pad_type_0"), val = tensor("custom")]; - tensor input_1117_pad_0 = const()[name = tensor("input_1117_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1117_strides_0 = const()[name = tensor("input_1117_strides_0"), val = tensor([1, 1])]; - tensor input_1117_dilations_0 = const()[name = tensor("input_1117_dilations_0"), val = tensor([1, 1])]; - tensor input_1117_groups_0 = const()[name = tensor("input_1117_groups_0"), val = tensor(1)]; - tensor feature_model_fusion_resnet2_residual_1_weight_to_fp16 = const()[name = tensor("feature_model_fusion_resnet2_residual_1_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1308529792)))]; - tensor feature_model_fusion_resnet2_residual_1_bias_to_fp16 = const()[name = tensor("feature_model_fusion_resnet2_residual_1_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1308824768)))]; - tensor input_1117_cast_fp16 = conv(bias = feature_model_fusion_resnet2_residual_1_bias_to_fp16, dilations = input_1117_dilations_0, groups = input_1117_groups_0, pad = input_1117_pad_0, pad_type = input_1117_pad_type_0, strides = input_1117_strides_0, weight = feature_model_fusion_resnet2_residual_1_weight_to_fp16, x = input_1115_cast_fp16)[name = tensor("input_1117_cast_fp16")]; - tensor input_1119_cast_fp16 = relu(x = input_1117_cast_fp16)[name = tensor("input_1119_cast_fp16")]; - tensor delta_x_39_pad_type_0 = const()[name = tensor("delta_x_39_pad_type_0"), val = tensor("custom")]; - tensor delta_x_39_pad_0 = const()[name = tensor("delta_x_39_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_39_strides_0 = const()[name = tensor("delta_x_39_strides_0"), val = tensor([1, 1])]; - tensor delta_x_39_dilations_0 = const()[name = tensor("delta_x_39_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_39_groups_0 = const()[name = tensor("delta_x_39_groups_0"), val = tensor(1)]; - tensor feature_model_fusion_resnet2_residual_3_weight_to_fp16 = const()[name = tensor("feature_model_fusion_resnet2_residual_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1308825088)))]; - tensor feature_model_fusion_resnet2_residual_3_bias_to_fp16 = const()[name = tensor("feature_model_fusion_resnet2_residual_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309120064)))]; - tensor delta_x_39_cast_fp16 = conv(bias = feature_model_fusion_resnet2_residual_3_bias_to_fp16, dilations = delta_x_39_dilations_0, groups = delta_x_39_groups_0, pad = delta_x_39_pad_0, pad_type = delta_x_39_pad_type_0, strides = delta_x_39_strides_0, weight = feature_model_fusion_resnet2_residual_3_weight_to_fp16, x = input_1119_cast_fp16)[name = tensor("delta_x_39_cast_fp16")]; - tensor input_1121_cast_fp16 = add(x = input_1113_cast_fp16, y = delta_x_39_cast_fp16)[name = tensor("input_1121_cast_fp16")]; - tensor input_1123_pad_type_0 = const()[name = tensor("input_1123_pad_type_0"), val = tensor("valid")]; - tensor input_1123_strides_0 = const()[name = tensor("input_1123_strides_0"), val = tensor([1, 1])]; - tensor input_1123_pad_0 = const()[name = tensor("input_1123_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_1123_dilations_0 = const()[name = tensor("input_1123_dilations_0"), val = tensor([1, 1])]; - tensor input_1123_groups_0 = const()[name = tensor("input_1123_groups_0"), val = tensor(1)]; - tensor feature_model_fusion_out_conv_weight_to_fp16 = const()[name = tensor("feature_model_fusion_out_conv_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309120384)))]; - tensor feature_model_fusion_out_conv_bias_to_fp16 = const()[name = tensor("feature_model_fusion_out_conv_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309153216)))]; - tensor input_1123_cast_fp16 = conv(bias = feature_model_fusion_out_conv_bias_to_fp16, dilations = input_1123_dilations_0, groups = input_1123_groups_0, pad = input_1123_pad_0, pad_type = input_1123_pad_type_0, strides = input_1123_strides_0, weight = feature_model_fusion_out_conv_weight_to_fp16, x = input_1121_cast_fp16)[name = tensor("input_1123_cast_fp16")]; - tensor reshape_0_shape_0 = const()[name = tensor("reshape_0_shape_0"), val = tensor([1, 8, 16, 768, 768])]; - tensor reshape_0_cast_fp16 = reshape(shape = reshape_0_shape_0, x = input_1123_cast_fp16)[name = tensor("reshape_0_cast_fp16")]; - tensor reduce_mean_0_axes_0 = const()[name = tensor("reduce_mean_0_axes_0"), val = tensor([2, 3, 4])]; - tensor reduce_mean_0_keep_dims_0 = const()[name = tensor("reduce_mean_0_keep_dims_0"), val = tensor(true)]; - tensor reduce_mean_0_cast_fp16 = reduce_mean(axes = reduce_mean_0_axes_0, keep_dims = reduce_mean_0_keep_dims_0, x = reshape_0_cast_fp16)[name = tensor("reduce_mean_0_cast_fp16")]; - tensor sub_0_cast_fp16 = sub(x = reshape_0_cast_fp16, y = reduce_mean_0_cast_fp16)[name = tensor("sub_0_cast_fp16")]; - tensor square_0_cast_fp16 = square(x = sub_0_cast_fp16)[name = tensor("square_0_cast_fp16")]; - tensor reduce_mean_2_axes_0 = const()[name = tensor("reduce_mean_2_axes_0"), val = tensor([2, 3, 4])]; - tensor reduce_mean_2_keep_dims_0 = const()[name = tensor("reduce_mean_2_keep_dims_0"), val = tensor(true)]; - tensor reduce_mean_2_cast_fp16 = reduce_mean(axes = reduce_mean_2_axes_0, keep_dims = reduce_mean_2_keep_dims_0, x = square_0_cast_fp16)[name = tensor("reduce_mean_2_cast_fp16")]; - tensor add_0_y_0_to_fp16 = const()[name = tensor("add_0_y_0_to_fp16"), val = tensor(0x1.5p-17)]; - tensor add_0_cast_fp16 = add(x = reduce_mean_2_cast_fp16, y = add_0_y_0_to_fp16)[name = tensor("add_0_cast_fp16")]; - tensor sqrt_0_cast_fp16 = sqrt(x = add_0_cast_fp16)[name = tensor("sqrt_0_cast_fp16")]; - tensor real_div_0_cast_fp16 = real_div(x = sub_0_cast_fp16, y = sqrt_0_cast_fp16)[name = tensor("real_div_0_cast_fp16")]; - tensor reshape_1_shape_0 = const()[name = tensor("reshape_1_shape_0"), val = tensor([1, 128, 768, 768])]; - tensor reshape_1_cast_fp16 = reshape(shape = reshape_1_shape_0, x = real_div_0_cast_fp16)[name = tensor("reshape_1_cast_fp16")]; - tensor add_1_mean_0_to_fp16 = const()[name = tensor("add_1_mean_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309153536)))]; - tensor add_1_variance_0_to_fp16 = const()[name = tensor("add_1_variance_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309153856)))]; - tensor add_1_gamma_0_to_fp16 = const()[name = tensor("add_1_gamma_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309154176)))]; - tensor add_1_beta_0_to_fp16 = const()[name = tensor("add_1_beta_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309154496)))]; - tensor add_1_epsilon_0_to_fp16 = const()[name = tensor("add_1_epsilon_0_to_fp16"), val = tensor(0x1.5p-17)]; - tensor add_1_cast_fp16 = batch_norm(beta = add_1_beta_0_to_fp16, epsilon = add_1_epsilon_0_to_fp16, gamma = add_1_gamma_0_to_fp16, mean = add_1_mean_0_to_fp16, variance = add_1_variance_0_to_fp16, x = reshape_1_cast_fp16)[name = tensor("add_1_cast_fp16")]; - tensor input_1127_cast_fp16 = relu(x = add_1_cast_fp16)[name = tensor("input_1127_cast_fp16")]; - tensor input_1129_pad_type_0 = const()[name = tensor("input_1129_pad_type_0"), val = tensor("custom")]; - tensor input_1129_pad_0 = const()[name = tensor("input_1129_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1129_strides_0 = const()[name = tensor("input_1129_strides_0"), val = tensor([1, 1])]; - tensor input_1129_dilations_0 = const()[name = tensor("input_1129_dilations_0"), val = tensor([1, 1])]; - tensor input_1129_groups_0 = const()[name = tensor("input_1129_groups_0"), val = tensor(1)]; - tensor feature_model_texture_head_0_residual_2_weight_to_fp16 = const()[name = tensor("feature_model_texture_head_0_residual_2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309154816)))]; - tensor feature_model_texture_head_0_residual_2_bias_to_fp16 = const()[name = tensor("feature_model_texture_head_0_residual_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309302336)))]; - tensor input_1129_cast_fp16 = conv(bias = feature_model_texture_head_0_residual_2_bias_to_fp16, dilations = input_1129_dilations_0, groups = input_1129_groups_0, pad = input_1129_pad_0, pad_type = input_1129_pad_type_0, strides = input_1129_strides_0, weight = feature_model_texture_head_0_residual_2_weight_to_fp16, x = input_1127_cast_fp16)[name = tensor("input_1129_cast_fp16")]; - tensor reshape_4_shape_0 = const()[name = tensor("reshape_4_shape_0"), val = tensor([1, 8, 8, 768, 768])]; - tensor reshape_4_cast_fp16 = reshape(shape = reshape_4_shape_0, x = input_1129_cast_fp16)[name = tensor("reshape_4_cast_fp16")]; - tensor reduce_mean_3_axes_0 = const()[name = tensor("reduce_mean_3_axes_0"), val = tensor([2, 3, 4])]; - tensor reduce_mean_3_keep_dims_0 = const()[name = tensor("reduce_mean_3_keep_dims_0"), val = tensor(true)]; - tensor reduce_mean_3_cast_fp16 = reduce_mean(axes = reduce_mean_3_axes_0, keep_dims = reduce_mean_3_keep_dims_0, x = reshape_4_cast_fp16)[name = tensor("reduce_mean_3_cast_fp16")]; - tensor sub_2_cast_fp16 = sub(x = reshape_4_cast_fp16, y = reduce_mean_3_cast_fp16)[name = tensor("sub_2_cast_fp16")]; - tensor square_1_cast_fp16 = square(x = sub_2_cast_fp16)[name = tensor("square_1_cast_fp16")]; - tensor reduce_mean_5_axes_0 = const()[name = tensor("reduce_mean_5_axes_0"), val = tensor([2, 3, 4])]; - tensor reduce_mean_5_keep_dims_0 = const()[name = tensor("reduce_mean_5_keep_dims_0"), val = tensor(true)]; - tensor reduce_mean_5_cast_fp16 = reduce_mean(axes = reduce_mean_5_axes_0, keep_dims = reduce_mean_5_keep_dims_0, x = square_1_cast_fp16)[name = tensor("reduce_mean_5_cast_fp16")]; - tensor add_2_y_0_to_fp16 = const()[name = tensor("add_2_y_0_to_fp16"), val = tensor(0x1.5p-17)]; - tensor add_2_cast_fp16 = add(x = reduce_mean_5_cast_fp16, y = add_2_y_0_to_fp16)[name = tensor("add_2_cast_fp16")]; - tensor sqrt_1_cast_fp16 = sqrt(x = add_2_cast_fp16)[name = tensor("sqrt_1_cast_fp16")]; - tensor real_div_1_cast_fp16 = real_div(x = sub_2_cast_fp16, y = sqrt_1_cast_fp16)[name = tensor("real_div_1_cast_fp16")]; - tensor reshape_5_shape_0 = const()[name = tensor("reshape_5_shape_0"), val = tensor([1, 64, 768, 768])]; - tensor reshape_5_cast_fp16 = reshape(shape = reshape_5_shape_0, x = real_div_1_cast_fp16)[name = tensor("reshape_5_cast_fp16")]; - tensor add_3_mean_0_to_fp16 = const()[name = tensor("add_3_mean_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309302528)))]; - tensor add_3_variance_0_to_fp16 = const()[name = tensor("add_3_variance_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309302720)))]; - tensor add_3_gamma_0_to_fp16 = const()[name = tensor("add_3_gamma_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309302912)))]; - tensor add_3_beta_0_to_fp16 = const()[name = tensor("add_3_beta_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309303104)))]; - tensor add_3_epsilon_0_to_fp16 = const()[name = tensor("add_3_epsilon_0_to_fp16"), val = tensor(0x1.5p-17)]; - tensor add_3_cast_fp16 = batch_norm(beta = add_3_beta_0_to_fp16, epsilon = add_3_epsilon_0_to_fp16, gamma = add_3_gamma_0_to_fp16, mean = add_3_mean_0_to_fp16, variance = add_3_variance_0_to_fp16, x = reshape_5_cast_fp16)[name = tensor("add_3_cast_fp16")]; - tensor input_1133_cast_fp16 = relu(x = add_3_cast_fp16)[name = tensor("input_1133_cast_fp16")]; - tensor delta_x_41_pad_type_0 = const()[name = tensor("delta_x_41_pad_type_0"), val = tensor("custom")]; - tensor delta_x_41_pad_0 = const()[name = tensor("delta_x_41_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_41_strides_0 = const()[name = tensor("delta_x_41_strides_0"), val = tensor([1, 1])]; - tensor delta_x_41_dilations_0 = const()[name = tensor("delta_x_41_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_41_groups_0 = const()[name = tensor("delta_x_41_groups_0"), val = tensor(1)]; - tensor feature_model_texture_head_0_residual_5_weight_to_fp16 = const()[name = tensor("feature_model_texture_head_0_residual_5_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309303296)))]; - tensor feature_model_texture_head_0_residual_5_bias_to_fp16 = const()[name = tensor("feature_model_texture_head_0_residual_5_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309450816)))]; - tensor delta_x_41_cast_fp16 = conv(bias = feature_model_texture_head_0_residual_5_bias_to_fp16, dilations = delta_x_41_dilations_0, groups = delta_x_41_groups_0, pad = delta_x_41_pad_0, pad_type = delta_x_41_pad_type_0, strides = delta_x_41_strides_0, weight = feature_model_texture_head_0_residual_5_weight_to_fp16, x = input_1133_cast_fp16)[name = tensor("delta_x_41_cast_fp16")]; - tensor input_1135_cast_fp16 = add(x = input_1123_cast_fp16, y = delta_x_41_cast_fp16)[name = tensor("input_1135_cast_fp16")]; - tensor reshape_8_shape_0 = const()[name = tensor("reshape_8_shape_0"), val = tensor([1, 8, 16, 768, 768])]; - tensor reshape_8_cast_fp16 = reshape(shape = reshape_8_shape_0, x = input_1135_cast_fp16)[name = tensor("reshape_8_cast_fp16")]; - tensor reduce_mean_6_axes_0 = const()[name = tensor("reduce_mean_6_axes_0"), val = tensor([2, 3, 4])]; - tensor reduce_mean_6_keep_dims_0 = const()[name = tensor("reduce_mean_6_keep_dims_0"), val = tensor(true)]; - tensor reduce_mean_6_cast_fp16 = reduce_mean(axes = reduce_mean_6_axes_0, keep_dims = reduce_mean_6_keep_dims_0, x = reshape_8_cast_fp16)[name = tensor("reduce_mean_6_cast_fp16")]; - tensor sub_4_cast_fp16 = sub(x = reshape_8_cast_fp16, y = reduce_mean_6_cast_fp16)[name = tensor("sub_4_cast_fp16")]; - tensor square_2_cast_fp16 = square(x = sub_4_cast_fp16)[name = tensor("square_2_cast_fp16")]; - tensor reduce_mean_8_axes_0 = const()[name = tensor("reduce_mean_8_axes_0"), val = tensor([2, 3, 4])]; - tensor reduce_mean_8_keep_dims_0 = const()[name = tensor("reduce_mean_8_keep_dims_0"), val = tensor(true)]; - tensor reduce_mean_8_cast_fp16 = reduce_mean(axes = reduce_mean_8_axes_0, keep_dims = reduce_mean_8_keep_dims_0, x = square_2_cast_fp16)[name = tensor("reduce_mean_8_cast_fp16")]; - tensor add_4_y_0_to_fp16 = const()[name = tensor("add_4_y_0_to_fp16"), val = tensor(0x1.5p-17)]; - tensor add_4_cast_fp16 = add(x = reduce_mean_8_cast_fp16, y = add_4_y_0_to_fp16)[name = tensor("add_4_cast_fp16")]; - tensor sqrt_2_cast_fp16 = sqrt(x = add_4_cast_fp16)[name = tensor("sqrt_2_cast_fp16")]; - tensor real_div_2_cast_fp16 = real_div(x = sub_4_cast_fp16, y = sqrt_2_cast_fp16)[name = tensor("real_div_2_cast_fp16")]; - tensor reshape_9_shape_0 = const()[name = tensor("reshape_9_shape_0"), val = tensor([1, 128, 768, 768])]; - tensor reshape_9_cast_fp16 = reshape(shape = reshape_9_shape_0, x = real_div_2_cast_fp16)[name = tensor("reshape_9_cast_fp16")]; - tensor add_5_gamma_0_to_fp16 = const()[name = tensor("add_5_gamma_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309451136)))]; - tensor add_5_beta_0_to_fp16 = const()[name = tensor("add_5_beta_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309451456)))]; - tensor add_5_epsilon_0_to_fp16 = const()[name = tensor("add_5_epsilon_0_to_fp16"), val = tensor(0x1.5p-17)]; - tensor add_5_cast_fp16 = batch_norm(beta = add_5_beta_0_to_fp16, epsilon = add_5_epsilon_0_to_fp16, gamma = add_5_gamma_0_to_fp16, mean = add_1_mean_0_to_fp16, variance = add_1_variance_0_to_fp16, x = reshape_9_cast_fp16)[name = tensor("add_5_cast_fp16")]; - tensor input_1139_cast_fp16 = relu(x = add_5_cast_fp16)[name = tensor("input_1139_cast_fp16")]; - tensor input_1141_pad_type_0 = const()[name = tensor("input_1141_pad_type_0"), val = tensor("custom")]; - tensor input_1141_pad_0 = const()[name = tensor("input_1141_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1141_strides_0 = const()[name = tensor("input_1141_strides_0"), val = tensor([1, 1])]; - tensor input_1141_dilations_0 = const()[name = tensor("input_1141_dilations_0"), val = tensor([1, 1])]; - tensor input_1141_groups_0 = const()[name = tensor("input_1141_groups_0"), val = tensor(1)]; - tensor feature_model_texture_head_1_residual_2_weight_to_fp16 = const()[name = tensor("feature_model_texture_head_1_residual_2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309451776)))]; - tensor feature_model_texture_head_1_residual_2_bias_to_fp16 = const()[name = tensor("feature_model_texture_head_1_residual_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309599296)))]; - tensor input_1141_cast_fp16 = conv(bias = feature_model_texture_head_1_residual_2_bias_to_fp16, dilations = input_1141_dilations_0, groups = input_1141_groups_0, pad = input_1141_pad_0, pad_type = input_1141_pad_type_0, strides = input_1141_strides_0, weight = feature_model_texture_head_1_residual_2_weight_to_fp16, x = input_1139_cast_fp16)[name = tensor("input_1141_cast_fp16")]; - tensor reshape_12_shape_0 = const()[name = tensor("reshape_12_shape_0"), val = tensor([1, 8, 8, 768, 768])]; - tensor reshape_12_cast_fp16 = reshape(shape = reshape_12_shape_0, x = input_1141_cast_fp16)[name = tensor("reshape_12_cast_fp16")]; - tensor reduce_mean_9_axes_0 = const()[name = tensor("reduce_mean_9_axes_0"), val = tensor([2, 3, 4])]; - tensor reduce_mean_9_keep_dims_0 = const()[name = tensor("reduce_mean_9_keep_dims_0"), val = tensor(true)]; - tensor reduce_mean_9_cast_fp16 = reduce_mean(axes = reduce_mean_9_axes_0, keep_dims = reduce_mean_9_keep_dims_0, x = reshape_12_cast_fp16)[name = tensor("reduce_mean_9_cast_fp16")]; - tensor sub_6_cast_fp16 = sub(x = reshape_12_cast_fp16, y = reduce_mean_9_cast_fp16)[name = tensor("sub_6_cast_fp16")]; - tensor square_3_cast_fp16 = square(x = sub_6_cast_fp16)[name = tensor("square_3_cast_fp16")]; - tensor reduce_mean_11_axes_0 = const()[name = tensor("reduce_mean_11_axes_0"), val = tensor([2, 3, 4])]; - tensor reduce_mean_11_keep_dims_0 = const()[name = tensor("reduce_mean_11_keep_dims_0"), val = tensor(true)]; - tensor reduce_mean_11_cast_fp16 = reduce_mean(axes = reduce_mean_11_axes_0, keep_dims = reduce_mean_11_keep_dims_0, x = square_3_cast_fp16)[name = tensor("reduce_mean_11_cast_fp16")]; - tensor add_6_y_0_to_fp16 = const()[name = tensor("add_6_y_0_to_fp16"), val = tensor(0x1.5p-17)]; - tensor add_6_cast_fp16 = add(x = reduce_mean_11_cast_fp16, y = add_6_y_0_to_fp16)[name = tensor("add_6_cast_fp16")]; - tensor sqrt_3_cast_fp16 = sqrt(x = add_6_cast_fp16)[name = tensor("sqrt_3_cast_fp16")]; - tensor real_div_3_cast_fp16 = real_div(x = sub_6_cast_fp16, y = sqrt_3_cast_fp16)[name = tensor("real_div_3_cast_fp16")]; - tensor reshape_13_shape_0 = const()[name = tensor("reshape_13_shape_0"), val = tensor([1, 64, 768, 768])]; - tensor reshape_13_cast_fp16 = reshape(shape = reshape_13_shape_0, x = real_div_3_cast_fp16)[name = tensor("reshape_13_cast_fp16")]; - tensor add_7_mean_0_to_fp16 = const()[name = tensor("add_7_mean_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309599488)))]; - tensor add_7_variance_0_to_fp16 = const()[name = tensor("add_7_variance_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309599680)))]; - tensor add_7_gamma_0_to_fp16 = const()[name = tensor("add_7_gamma_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309599872)))]; - tensor add_7_beta_0_to_fp16 = const()[name = tensor("add_7_beta_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309600064)))]; - tensor add_7_epsilon_0_to_fp16 = const()[name = tensor("add_7_epsilon_0_to_fp16"), val = tensor(0x1.5p-17)]; - tensor add_7_cast_fp16 = batch_norm(beta = add_7_beta_0_to_fp16, epsilon = add_7_epsilon_0_to_fp16, gamma = add_7_gamma_0_to_fp16, mean = add_7_mean_0_to_fp16, variance = add_7_variance_0_to_fp16, x = reshape_13_cast_fp16)[name = tensor("add_7_cast_fp16")]; - tensor input_1145_cast_fp16 = relu(x = add_7_cast_fp16)[name = tensor("input_1145_cast_fp16")]; - tensor delta_x_43_pad_type_0 = const()[name = tensor("delta_x_43_pad_type_0"), val = tensor("custom")]; - tensor delta_x_43_pad_0 = const()[name = tensor("delta_x_43_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_43_strides_0 = const()[name = tensor("delta_x_43_strides_0"), val = tensor([1, 1])]; - tensor delta_x_43_dilations_0 = const()[name = tensor("delta_x_43_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_43_groups_0 = const()[name = tensor("delta_x_43_groups_0"), val = tensor(1)]; - tensor feature_model_texture_head_1_residual_5_weight_to_fp16 = const()[name = tensor("feature_model_texture_head_1_residual_5_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309600256)))]; - tensor feature_model_texture_head_1_residual_5_bias_to_fp16 = const()[name = tensor("feature_model_texture_head_1_residual_5_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309747776)))]; - tensor delta_x_43_cast_fp16 = conv(bias = feature_model_texture_head_1_residual_5_bias_to_fp16, dilations = delta_x_43_dilations_0, groups = delta_x_43_groups_0, pad = delta_x_43_pad_0, pad_type = delta_x_43_pad_type_0, strides = delta_x_43_strides_0, weight = feature_model_texture_head_1_residual_5_weight_to_fp16, x = input_1145_cast_fp16)[name = tensor("delta_x_43_cast_fp16")]; - tensor input_1147_cast_fp16 = add(x = input_1135_cast_fp16, y = delta_x_43_cast_fp16)[name = tensor("input_1147_cast_fp16")]; - tensor input_1149_cast_fp16 = relu(x = input_1147_cast_fp16)[name = tensor("input_1149_cast_fp16")]; - tensor input_1151_pad_type_0 = const()[name = tensor("input_1151_pad_type_0"), val = tensor("valid")]; - tensor input_1151_strides_0 = const()[name = tensor("input_1151_strides_0"), val = tensor([1, 1])]; - tensor input_1151_pad_0 = const()[name = tensor("input_1151_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_1151_dilations_0 = const()[name = tensor("input_1151_dilations_0"), val = tensor([1, 1])]; - tensor input_1151_groups_0 = const()[name = tensor("input_1151_groups_0"), val = tensor(1)]; - tensor feature_model_texture_head_3_weight_to_fp16 = const()[name = tensor("feature_model_texture_head_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309748096)))]; - tensor feature_model_texture_head_3_bias_to_fp16 = const()[name = tensor("feature_model_texture_head_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309756352)))]; - tensor input_1151_cast_fp16 = conv(bias = feature_model_texture_head_3_bias_to_fp16, dilations = input_1151_dilations_0, groups = input_1151_groups_0, pad = input_1151_pad_0, pad_type = input_1151_pad_type_0, strides = input_1151_strides_0, weight = feature_model_texture_head_3_weight_to_fp16, x = input_1149_cast_fp16)[name = tensor("input_1151_cast_fp16")]; - tensor input_cast_fp16 = relu(x = input_1151_cast_fp16)[name = tensor("input_cast_fp16")]; - tensor add_9_gamma_0_to_fp16 = const()[name = tensor("add_9_gamma_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309756480)))]; - tensor add_9_beta_0_to_fp16 = const()[name = tensor("add_9_beta_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309756800)))]; - tensor add_9_epsilon_0_to_fp16 = const()[name = tensor("add_9_epsilon_0_to_fp16"), val = tensor(0x1.5p-17)]; - tensor add_9_cast_fp16 = batch_norm(beta = add_9_beta_0_to_fp16, epsilon = add_9_epsilon_0_to_fp16, gamma = add_9_gamma_0_to_fp16, mean = add_1_mean_0_to_fp16, variance = add_1_variance_0_to_fp16, x = reshape_1_cast_fp16)[name = tensor("add_9_cast_fp16")]; - tensor input_1155_cast_fp16 = relu(x = add_9_cast_fp16)[name = tensor("input_1155_cast_fp16")]; - tensor input_1157_pad_type_0 = const()[name = tensor("input_1157_pad_type_0"), val = tensor("custom")]; - tensor input_1157_pad_0 = const()[name = tensor("input_1157_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1157_strides_0 = const()[name = tensor("input_1157_strides_0"), val = tensor([1, 1])]; - tensor input_1157_dilations_0 = const()[name = tensor("input_1157_dilations_0"), val = tensor([1, 1])]; - tensor input_1157_groups_0 = const()[name = tensor("input_1157_groups_0"), val = tensor(1)]; - tensor feature_model_geometry_head_0_residual_2_weight_to_fp16 = const()[name = tensor("feature_model_geometry_head_0_residual_2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309757120)))]; - tensor feature_model_geometry_head_0_residual_2_bias_to_fp16 = const()[name = tensor("feature_model_geometry_head_0_residual_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309904640)))]; - tensor input_1157_cast_fp16 = conv(bias = feature_model_geometry_head_0_residual_2_bias_to_fp16, dilations = input_1157_dilations_0, groups = input_1157_groups_0, pad = input_1157_pad_0, pad_type = input_1157_pad_type_0, strides = input_1157_strides_0, weight = feature_model_geometry_head_0_residual_2_weight_to_fp16, x = input_1155_cast_fp16)[name = tensor("input_1157_cast_fp16")]; - tensor reshape_20_shape_0 = const()[name = tensor("reshape_20_shape_0"), val = tensor([1, 8, 8, 768, 768])]; - tensor reshape_20_cast_fp16 = reshape(shape = reshape_20_shape_0, x = input_1157_cast_fp16)[name = tensor("reshape_20_cast_fp16")]; - tensor reduce_mean_15_axes_0 = const()[name = tensor("reduce_mean_15_axes_0"), val = tensor([2, 3, 4])]; - tensor reduce_mean_15_keep_dims_0 = const()[name = tensor("reduce_mean_15_keep_dims_0"), val = tensor(true)]; - tensor reduce_mean_15_cast_fp16 = reduce_mean(axes = reduce_mean_15_axes_0, keep_dims = reduce_mean_15_keep_dims_0, x = reshape_20_cast_fp16)[name = tensor("reduce_mean_15_cast_fp16")]; - tensor sub_10_cast_fp16 = sub(x = reshape_20_cast_fp16, y = reduce_mean_15_cast_fp16)[name = tensor("sub_10_cast_fp16")]; - tensor square_5_cast_fp16 = square(x = sub_10_cast_fp16)[name = tensor("square_5_cast_fp16")]; - tensor reduce_mean_17_axes_0 = const()[name = tensor("reduce_mean_17_axes_0"), val = tensor([2, 3, 4])]; - tensor reduce_mean_17_keep_dims_0 = const()[name = tensor("reduce_mean_17_keep_dims_0"), val = tensor(true)]; - tensor reduce_mean_17_cast_fp16 = reduce_mean(axes = reduce_mean_17_axes_0, keep_dims = reduce_mean_17_keep_dims_0, x = square_5_cast_fp16)[name = tensor("reduce_mean_17_cast_fp16")]; - tensor add_10_y_0_to_fp16 = const()[name = tensor("add_10_y_0_to_fp16"), val = tensor(0x1.5p-17)]; - tensor add_10_cast_fp16 = add(x = reduce_mean_17_cast_fp16, y = add_10_y_0_to_fp16)[name = tensor("add_10_cast_fp16")]; - tensor sqrt_5_cast_fp16 = sqrt(x = add_10_cast_fp16)[name = tensor("sqrt_5_cast_fp16")]; - tensor real_div_5_cast_fp16 = real_div(x = sub_10_cast_fp16, y = sqrt_5_cast_fp16)[name = tensor("real_div_5_cast_fp16")]; - tensor reshape_21_shape_0 = const()[name = tensor("reshape_21_shape_0"), val = tensor([1, 64, 768, 768])]; - tensor reshape_21_cast_fp16 = reshape(shape = reshape_21_shape_0, x = real_div_5_cast_fp16)[name = tensor("reshape_21_cast_fp16")]; - tensor add_11_mean_0_to_fp16 = const()[name = tensor("add_11_mean_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309904832)))]; - tensor add_11_variance_0_to_fp16 = const()[name = tensor("add_11_variance_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309905024)))]; - tensor add_11_gamma_0_to_fp16 = const()[name = tensor("add_11_gamma_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309905216)))]; - tensor add_11_beta_0_to_fp16 = const()[name = tensor("add_11_beta_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309905408)))]; - tensor add_11_epsilon_0_to_fp16 = const()[name = tensor("add_11_epsilon_0_to_fp16"), val = tensor(0x1.5p-17)]; - tensor add_11_cast_fp16 = batch_norm(beta = add_11_beta_0_to_fp16, epsilon = add_11_epsilon_0_to_fp16, gamma = add_11_gamma_0_to_fp16, mean = add_11_mean_0_to_fp16, variance = add_11_variance_0_to_fp16, x = reshape_21_cast_fp16)[name = tensor("add_11_cast_fp16")]; - tensor input_1161_cast_fp16 = relu(x = add_11_cast_fp16)[name = tensor("input_1161_cast_fp16")]; - tensor delta_x_45_pad_type_0 = const()[name = tensor("delta_x_45_pad_type_0"), val = tensor("custom")]; - tensor delta_x_45_pad_0 = const()[name = tensor("delta_x_45_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_45_strides_0 = const()[name = tensor("delta_x_45_strides_0"), val = tensor([1, 1])]; - tensor delta_x_45_dilations_0 = const()[name = tensor("delta_x_45_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_45_groups_0 = const()[name = tensor("delta_x_45_groups_0"), val = tensor(1)]; - tensor feature_model_geometry_head_0_residual_5_weight_to_fp16 = const()[name = tensor("feature_model_geometry_head_0_residual_5_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1309905600)))]; - tensor feature_model_geometry_head_0_residual_5_bias_to_fp16 = const()[name = tensor("feature_model_geometry_head_0_residual_5_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310053120)))]; - tensor delta_x_45_cast_fp16 = conv(bias = feature_model_geometry_head_0_residual_5_bias_to_fp16, dilations = delta_x_45_dilations_0, groups = delta_x_45_groups_0, pad = delta_x_45_pad_0, pad_type = delta_x_45_pad_type_0, strides = delta_x_45_strides_0, weight = feature_model_geometry_head_0_residual_5_weight_to_fp16, x = input_1161_cast_fp16)[name = tensor("delta_x_45_cast_fp16")]; - tensor input_1163_cast_fp16 = add(x = input_1123_cast_fp16, y = delta_x_45_cast_fp16)[name = tensor("input_1163_cast_fp16")]; - tensor reshape_24_shape_0 = const()[name = tensor("reshape_24_shape_0"), val = tensor([1, 8, 16, 768, 768])]; - tensor reshape_24_cast_fp16 = reshape(shape = reshape_24_shape_0, x = input_1163_cast_fp16)[name = tensor("reshape_24_cast_fp16")]; - tensor reduce_mean_18_axes_0 = const()[name = tensor("reduce_mean_18_axes_0"), val = tensor([2, 3, 4])]; - tensor reduce_mean_18_keep_dims_0 = const()[name = tensor("reduce_mean_18_keep_dims_0"), val = tensor(true)]; - tensor reduce_mean_18_cast_fp16 = reduce_mean(axes = reduce_mean_18_axes_0, keep_dims = reduce_mean_18_keep_dims_0, x = reshape_24_cast_fp16)[name = tensor("reduce_mean_18_cast_fp16")]; - tensor sub_12_cast_fp16 = sub(x = reshape_24_cast_fp16, y = reduce_mean_18_cast_fp16)[name = tensor("sub_12_cast_fp16")]; - tensor square_6_cast_fp16 = square(x = sub_12_cast_fp16)[name = tensor("square_6_cast_fp16")]; - tensor reduce_mean_20_axes_0 = const()[name = tensor("reduce_mean_20_axes_0"), val = tensor([2, 3, 4])]; - tensor reduce_mean_20_keep_dims_0 = const()[name = tensor("reduce_mean_20_keep_dims_0"), val = tensor(true)]; - tensor reduce_mean_20_cast_fp16 = reduce_mean(axes = reduce_mean_20_axes_0, keep_dims = reduce_mean_20_keep_dims_0, x = square_6_cast_fp16)[name = tensor("reduce_mean_20_cast_fp16")]; - tensor add_12_y_0_to_fp16 = const()[name = tensor("add_12_y_0_to_fp16"), val = tensor(0x1.5p-17)]; - tensor add_12_cast_fp16 = add(x = reduce_mean_20_cast_fp16, y = add_12_y_0_to_fp16)[name = tensor("add_12_cast_fp16")]; - tensor sqrt_6_cast_fp16 = sqrt(x = add_12_cast_fp16)[name = tensor("sqrt_6_cast_fp16")]; - tensor real_div_6_cast_fp16 = real_div(x = sub_12_cast_fp16, y = sqrt_6_cast_fp16)[name = tensor("real_div_6_cast_fp16")]; - tensor reshape_25_shape_0 = const()[name = tensor("reshape_25_shape_0"), val = tensor([1, 128, 768, 768])]; - tensor reshape_25_cast_fp16 = reshape(shape = reshape_25_shape_0, x = real_div_6_cast_fp16)[name = tensor("reshape_25_cast_fp16")]; - tensor add_13_gamma_0_to_fp16 = const()[name = tensor("add_13_gamma_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310053440)))]; - tensor add_13_beta_0_to_fp16 = const()[name = tensor("add_13_beta_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310053760)))]; - tensor add_13_epsilon_0_to_fp16 = const()[name = tensor("add_13_epsilon_0_to_fp16"), val = tensor(0x1.5p-17)]; - tensor add_13_cast_fp16 = batch_norm(beta = add_13_beta_0_to_fp16, epsilon = add_13_epsilon_0_to_fp16, gamma = add_13_gamma_0_to_fp16, mean = add_1_mean_0_to_fp16, variance = add_1_variance_0_to_fp16, x = reshape_25_cast_fp16)[name = tensor("add_13_cast_fp16")]; - tensor input_1167_cast_fp16 = relu(x = add_13_cast_fp16)[name = tensor("input_1167_cast_fp16")]; - tensor input_1169_pad_type_0 = const()[name = tensor("input_1169_pad_type_0"), val = tensor("custom")]; - tensor input_1169_pad_0 = const()[name = tensor("input_1169_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor input_1169_strides_0 = const()[name = tensor("input_1169_strides_0"), val = tensor([1, 1])]; - tensor input_1169_dilations_0 = const()[name = tensor("input_1169_dilations_0"), val = tensor([1, 1])]; - tensor input_1169_groups_0 = const()[name = tensor("input_1169_groups_0"), val = tensor(1)]; - tensor feature_model_geometry_head_1_residual_2_weight_to_fp16 = const()[name = tensor("feature_model_geometry_head_1_residual_2_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310054080)))]; - tensor feature_model_geometry_head_1_residual_2_bias_to_fp16 = const()[name = tensor("feature_model_geometry_head_1_residual_2_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310201600)))]; - tensor input_1169_cast_fp16 = conv(bias = feature_model_geometry_head_1_residual_2_bias_to_fp16, dilations = input_1169_dilations_0, groups = input_1169_groups_0, pad = input_1169_pad_0, pad_type = input_1169_pad_type_0, strides = input_1169_strides_0, weight = feature_model_geometry_head_1_residual_2_weight_to_fp16, x = input_1167_cast_fp16)[name = tensor("input_1169_cast_fp16")]; - tensor reshape_28_shape_0 = const()[name = tensor("reshape_28_shape_0"), val = tensor([1, 8, 8, 768, 768])]; - tensor reshape_28_cast_fp16 = reshape(shape = reshape_28_shape_0, x = input_1169_cast_fp16)[name = tensor("reshape_28_cast_fp16")]; - tensor reduce_mean_21_axes_0 = const()[name = tensor("reduce_mean_21_axes_0"), val = tensor([2, 3, 4])]; - tensor reduce_mean_21_keep_dims_0 = const()[name = tensor("reduce_mean_21_keep_dims_0"), val = tensor(true)]; - tensor reduce_mean_21_cast_fp16 = reduce_mean(axes = reduce_mean_21_axes_0, keep_dims = reduce_mean_21_keep_dims_0, x = reshape_28_cast_fp16)[name = tensor("reduce_mean_21_cast_fp16")]; - tensor sub_14_cast_fp16 = sub(x = reshape_28_cast_fp16, y = reduce_mean_21_cast_fp16)[name = tensor("sub_14_cast_fp16")]; - tensor square_7_cast_fp16 = square(x = sub_14_cast_fp16)[name = tensor("square_7_cast_fp16")]; - tensor reduce_mean_23_axes_0 = const()[name = tensor("reduce_mean_23_axes_0"), val = tensor([2, 3, 4])]; - tensor reduce_mean_23_keep_dims_0 = const()[name = tensor("reduce_mean_23_keep_dims_0"), val = tensor(true)]; - tensor reduce_mean_23_cast_fp16 = reduce_mean(axes = reduce_mean_23_axes_0, keep_dims = reduce_mean_23_keep_dims_0, x = square_7_cast_fp16)[name = tensor("reduce_mean_23_cast_fp16")]; - tensor add_14_y_0_to_fp16 = const()[name = tensor("add_14_y_0_to_fp16"), val = tensor(0x1.5p-17)]; - tensor add_14_cast_fp16 = add(x = reduce_mean_23_cast_fp16, y = add_14_y_0_to_fp16)[name = tensor("add_14_cast_fp16")]; - tensor sqrt_7_cast_fp16 = sqrt(x = add_14_cast_fp16)[name = tensor("sqrt_7_cast_fp16")]; - tensor real_div_7_cast_fp16 = real_div(x = sub_14_cast_fp16, y = sqrt_7_cast_fp16)[name = tensor("real_div_7_cast_fp16")]; - tensor reshape_29_shape_0 = const()[name = tensor("reshape_29_shape_0"), val = tensor([1, 64, 768, 768])]; - tensor reshape_29_cast_fp16 = reshape(shape = reshape_29_shape_0, x = real_div_7_cast_fp16)[name = tensor("reshape_29_cast_fp16")]; - tensor add_15_mean_0_to_fp16 = const()[name = tensor("add_15_mean_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310201792)))]; - tensor add_15_variance_0_to_fp16 = const()[name = tensor("add_15_variance_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310201984)))]; - tensor add_15_gamma_0_to_fp16 = const()[name = tensor("add_15_gamma_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310202176)))]; - tensor add_15_beta_0_to_fp16 = const()[name = tensor("add_15_beta_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310202368)))]; - tensor add_15_epsilon_0_to_fp16 = const()[name = tensor("add_15_epsilon_0_to_fp16"), val = tensor(0x1.5p-17)]; - tensor add_15_cast_fp16 = batch_norm(beta = add_15_beta_0_to_fp16, epsilon = add_15_epsilon_0_to_fp16, gamma = add_15_gamma_0_to_fp16, mean = add_15_mean_0_to_fp16, variance = add_15_variance_0_to_fp16, x = reshape_29_cast_fp16)[name = tensor("add_15_cast_fp16")]; - tensor input_1173_cast_fp16 = relu(x = add_15_cast_fp16)[name = tensor("input_1173_cast_fp16")]; - tensor delta_x_pad_type_0 = const()[name = tensor("delta_x_pad_type_0"), val = tensor("custom")]; - tensor delta_x_pad_0 = const()[name = tensor("delta_x_pad_0"), val = tensor([1, 1, 1, 1])]; - tensor delta_x_strides_0 = const()[name = tensor("delta_x_strides_0"), val = tensor([1, 1])]; - tensor delta_x_dilations_0 = const()[name = tensor("delta_x_dilations_0"), val = tensor([1, 1])]; - tensor delta_x_groups_0 = const()[name = tensor("delta_x_groups_0"), val = tensor(1)]; - tensor feature_model_geometry_head_1_residual_5_weight_to_fp16 = const()[name = tensor("feature_model_geometry_head_1_residual_5_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310202560)))]; - tensor feature_model_geometry_head_1_residual_5_bias_to_fp16 = const()[name = tensor("feature_model_geometry_head_1_residual_5_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310350080)))]; - tensor delta_x_cast_fp16 = conv(bias = feature_model_geometry_head_1_residual_5_bias_to_fp16, dilations = delta_x_dilations_0, groups = delta_x_groups_0, pad = delta_x_pad_0, pad_type = delta_x_pad_type_0, strides = delta_x_strides_0, weight = feature_model_geometry_head_1_residual_5_weight_to_fp16, x = input_1173_cast_fp16)[name = tensor("delta_x_cast_fp16")]; - tensor input_1175_cast_fp16 = add(x = input_1163_cast_fp16, y = delta_x_cast_fp16)[name = tensor("input_1175_cast_fp16")]; - tensor input_1177_cast_fp16 = relu(x = input_1175_cast_fp16)[name = tensor("input_1177_cast_fp16")]; - tensor input_1179_pad_type_0 = const()[name = tensor("input_1179_pad_type_0"), val = tensor("valid")]; - tensor input_1179_strides_0 = const()[name = tensor("input_1179_strides_0"), val = tensor([1, 1])]; - tensor input_1179_pad_0 = const()[name = tensor("input_1179_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor input_1179_dilations_0 = const()[name = tensor("input_1179_dilations_0"), val = tensor([1, 1])]; - tensor input_1179_groups_0 = const()[name = tensor("input_1179_groups_0"), val = tensor(1)]; - tensor feature_model_geometry_head_3_weight_to_fp16 = const()[name = tensor("feature_model_geometry_head_3_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310350400)))]; - tensor feature_model_geometry_head_3_bias_to_fp16 = const()[name = tensor("feature_model_geometry_head_3_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310358656)))]; - tensor input_1179_cast_fp16 = conv(bias = feature_model_geometry_head_3_bias_to_fp16, dilations = input_1179_dilations_0, groups = input_1179_groups_0, pad = input_1179_pad_0, pad_type = input_1179_pad_type_0, strides = input_1179_strides_0, weight = feature_model_geometry_head_3_weight_to_fp16, x = input_1177_cast_fp16)[name = tensor("input_1179_cast_fp16")]; - tensor input_1181_cast_fp16 = relu(x = input_1179_cast_fp16)[name = tensor("input_1181_cast_fp16")]; - tensor var_5277 = const()[name = tensor("op_5277"), val = tensor(1)]; - tensor var_5289_pad_type_0 = const()[name = tensor("op_5289_pad_type_0"), val = tensor("valid")]; - tensor var_5289_strides_0 = const()[name = tensor("op_5289_strides_0"), val = tensor([1, 1])]; - tensor var_5289_pad_0 = const()[name = tensor("op_5289_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor var_5289_dilations_0 = const()[name = tensor("op_5289_dilations_0"), val = tensor([1, 1])]; - tensor var_5289_groups_0 = const()[name = tensor("op_5289_groups_0"), val = tensor(1)]; - tensor prediction_head_geometry_prediction_head_weight_to_fp16 = const()[name = tensor("prediction_head_geometry_prediction_head_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310358784)))]; - tensor prediction_head_geometry_prediction_head_bias_to_fp16 = const()[name = tensor("prediction_head_geometry_prediction_head_bias_to_fp16"), val = tensor([0x1.384p-7, -0x1.524p-6, 0x1.928p-8, 0x1.594p-9, -0x1.5ecp-3, -0x1.348p-4])]; - tensor op_5289_cast_fp16 = conv(bias = prediction_head_geometry_prediction_head_bias_to_fp16, dilations = var_5289_dilations_0, groups = var_5289_groups_0, pad = var_5289_pad_0, pad_type = var_5289_pad_type_0, strides = var_5289_strides_0, weight = prediction_head_geometry_prediction_head_weight_to_fp16, x = input_1181_cast_fp16)[name = tensor("op_5289_cast_fp16")]; - tensor var_5296_pad_type_0 = const()[name = tensor("op_5296_pad_type_0"), val = tensor("valid")]; - tensor var_5296_strides_0 = const()[name = tensor("op_5296_strides_0"), val = tensor([1, 1])]; - tensor var_5296_pad_0 = const()[name = tensor("op_5296_pad_0"), val = tensor([0, 0, 0, 0])]; - tensor var_5296_dilations_0 = const()[name = tensor("op_5296_dilations_0"), val = tensor([1, 1])]; - tensor var_5296_groups_0 = const()[name = tensor("op_5296_groups_0"), val = tensor(1)]; - tensor prediction_head_texture_prediction_head_weight_to_fp16 = const()[name = tensor("prediction_head_texture_prediction_head_weight_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310359232)))]; - tensor prediction_head_texture_prediction_head_bias_to_fp16 = const()[name = tensor("prediction_head_texture_prediction_head_bias_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310360704)))]; - tensor op_5296_cast_fp16 = conv(bias = prediction_head_texture_prediction_head_bias_to_fp16, dilations = var_5296_dilations_0, groups = var_5296_groups_0, pad = var_5296_pad_0, pad_type = var_5296_pad_type_0, strides = var_5296_strides_0, weight = prediction_head_texture_prediction_head_weight_to_fp16, x = input_cast_fp16)[name = tensor("op_5296_cast_fp16")]; - tensor concat_5 = const()[name = tensor("concat_5"), val = tensor([1, 3, 2, 768, 768])]; - tensor delta_values_geometry_cast_fp16 = reshape(shape = concat_5, x = op_5289_cast_fp16)[name = tensor("delta_values_geometry_cast_fp16")]; - tensor concat_6 = const()[name = tensor("concat_6"), val = tensor([1, 11, 2, 768, 768])]; - tensor delta_values_texture_cast_fp16 = reshape(shape = concat_6, x = op_5296_cast_fp16)[name = tensor("delta_values_texture_cast_fp16")]; - tensor delta_interleave_0 = const()[name = tensor("delta_interleave_0"), val = tensor(false)]; - tensor delta_cast_fp16 = concat(axis = var_5277, interleave = delta_interleave_0, values = (delta_values_geometry_cast_fp16, delta_values_texture_cast_fp16))[name = tensor("delta_cast_fp16")]; - tensor var_5319 = const()[name = tensor("op_5319"), val = tensor(1)]; - tensor var_5352 = const()[name = tensor("op_5352"), val = tensor([1, 3, 1, 1, 1])]; - tensor op_5353_cast_fp16 = tile(reps = var_5352, x = disparity_cast_fp16)[name = tensor("op_5353_cast_fp16")]; - tensor mean_z_mask_to_fp16 = const()[name = tensor("mean_z_mask_to_fp16"), val = tensor([[[[[0x0p+0]]], [[[0x0p+0]]], [[[0x1p+0]]]]])]; - tensor op_5354_cast_fp16 = mul(x = op_5353_cast_fp16, y = mean_z_mask_to_fp16)[name = tensor("op_5354_cast_fp16")]; - tensor var_5351_to_fp16 = const()[name = tensor("var_5351_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1310360832)))]; - tensor base_1_cast_fp16 = add(x = var_5351_to_fp16, y = op_5354_cast_fp16)[name = tensor("base_1_cast_fp16")]; - tensor var_5357_begin_0 = const()[name = tensor("op_5357_begin_0"), val = tensor([0, 0, 0, 0, 0])]; - tensor var_5357_end_0 = const()[name = tensor("op_5357_end_0"), val = tensor([1, 3, 2, 768, 768])]; - tensor var_5357_end_mask_0 = const()[name = tensor("op_5357_end_mask_0"), val = tensor([true, false, true, true, true])]; - tensor op_5357_cast_fp16 = slice_by_index(begin = var_5357_begin_0, end = var_5357_end_0, end_mask = var_5357_end_mask_0, x = delta_cast_fp16)[name = tensor("op_5357_cast_fp16")]; - tensor delta_factor_to_fp16 = const()[name = tensor("delta_factor_to_fp16"), val = tensor([[[[[0x1.064p-10]]], [[[0x1.064p-10]]], [[[0x1.064p-10]]]]])]; - tensor learned_delta_1_cast_fp16 = mul(x = delta_factor_to_fp16, y = op_5357_cast_fp16)[name = tensor("learned_delta_1_cast_fp16")]; - tensor var_5360_begin_0 = const()[name = tensor("op_5360_begin_0"), val = tensor([0, 0, 0, 0, 0])]; - tensor var_5360_end_0 = const()[name = tensor("op_5360_end_0"), val = tensor([1, 1, 2, 768, 768])]; - tensor var_5360_end_mask_0 = const()[name = tensor("op_5360_end_mask_0"), val = tensor([true, false, true, true, true])]; - tensor op_5360_cast_fp16 = slice_by_index(begin = var_5360_begin_0, end = var_5360_end_0, end_mask = var_5360_end_mask_0, x = base_1_cast_fp16)[name = tensor("op_5360_cast_fp16")]; - tensor var_5362_begin_0 = const()[name = tensor("op_5362_begin_0"), val = tensor([0, 0, 0, 0, 0])]; - tensor var_5362_end_0 = const()[name = tensor("op_5362_end_0"), val = tensor([1, 1, 2, 768, 768])]; - tensor var_5362_end_mask_0 = const()[name = tensor("op_5362_end_mask_0"), val = tensor([true, false, true, true, true])]; - tensor op_5362_cast_fp16 = slice_by_index(begin = var_5362_begin_0, end = var_5362_end_0, end_mask = var_5362_end_mask_0, x = learned_delta_1_cast_fp16)[name = tensor("op_5362_cast_fp16")]; - tensor xx_cast_fp16 = add(x = op_5360_cast_fp16, y = op_5362_cast_fp16)[name = tensor("xx_cast_fp16")]; - tensor var_5365_begin_0 = const()[name = tensor("op_5365_begin_0"), val = tensor([0, 1, 0, 0, 0])]; - tensor var_5365_end_0 = const()[name = tensor("op_5365_end_0"), val = tensor([1, 2, 2, 768, 768])]; - tensor var_5365_end_mask_0 = const()[name = tensor("op_5365_end_mask_0"), val = tensor([true, false, true, true, true])]; - tensor op_5365_cast_fp16 = slice_by_index(begin = var_5365_begin_0, end = var_5365_end_0, end_mask = var_5365_end_mask_0, x = base_1_cast_fp16)[name = tensor("op_5365_cast_fp16")]; - tensor var_5367_begin_0 = const()[name = tensor("op_5367_begin_0"), val = tensor([0, 1, 0, 0, 0])]; - tensor var_5367_end_0 = const()[name = tensor("op_5367_end_0"), val = tensor([1, 2, 2, 768, 768])]; - tensor var_5367_end_mask_0 = const()[name = tensor("op_5367_end_mask_0"), val = tensor([true, false, true, true, true])]; - tensor op_5367_cast_fp16 = slice_by_index(begin = var_5367_begin_0, end = var_5367_end_0, end_mask = var_5367_end_mask_0, x = learned_delta_1_cast_fp16)[name = tensor("op_5367_cast_fp16")]; - tensor yy_cast_fp16 = add(x = op_5365_cast_fp16, y = op_5367_cast_fp16)[name = tensor("yy_cast_fp16")]; - tensor tensor_1_begin_0 = const()[name = tensor("tensor_1_begin_0"), val = tensor([0, 2, 0, 0, 0])]; - tensor tensor_1_end_0 = const()[name = tensor("tensor_1_end_0"), val = tensor([1, 1, 2, 768, 768])]; - tensor tensor_1_end_mask_0 = const()[name = tensor("tensor_1_end_mask_0"), val = tensor([true, true, true, true, true])]; - tensor tensor_1_cast_fp16 = slice_by_index(begin = tensor_1_begin_0, end = tensor_1_end_0, end_mask = tensor_1_end_mask_0, x = base_1_cast_fp16)[name = tensor("tensor_1_cast_fp16")]; - tensor b_begin_0 = const()[name = tensor("b_begin_0"), val = tensor([0, 2, 0, 0, 0])]; - tensor b_end_0 = const()[name = tensor("b_end_0"), val = tensor([1, 1, 2, 768, 768])]; - tensor b_end_mask_0 = const()[name = tensor("b_end_mask_0"), val = tensor([true, true, true, true, true])]; - tensor b_cast_fp16 = slice_by_index(begin = b_begin_0, end = b_end_0, end_mask = b_end_mask_0, x = learned_delta_1_cast_fp16)[name = tensor("b_cast_fp16")]; - tensor var_5311_to_fp16 = const()[name = tensor("var_5311_to_fp16"), val = tensor(0x1.1p-20)]; - tensor tensor_3_cast_fp16 = maximum(x = tensor_1_cast_fp16, y = var_5311_to_fp16)[name = tensor("tensor_3_cast_fp16")]; - tensor const_166_promoted_to_fp16 = const()[name = tensor("const_166_promoted_to_fp16"), val = tensor(-0x1p+0)]; - tensor op_5374_cast_fp16 = mul(x = tensor_3_cast_fp16, y = const_166_promoted_to_fp16)[name = tensor("op_5374_cast_fp16")]; - tensor sigmoid_cast_fp16 = sigmoid(x = op_5374_cast_fp16)[name = tensor("sigmoid_cast_fp16")]; - tensor var_5310_to_fp16 = const()[name = tensor("var_5310_to_fp16"), val = tensor(0x1p+0)]; - tensor op_5376_cast_fp16 = sub(x = var_5310_to_fp16, y = sigmoid_cast_fp16)[name = tensor("op_5376_cast_fp16")]; - tensor exp_cast_fp16 = real_div(x = sigmoid_cast_fp16, y = op_5376_cast_fp16)[name = tensor("exp_cast_fp16")]; - tensor const_167_promoted_to_fp16 = const()[name = tensor("const_167_promoted_to_fp16"), val = tensor(-0x1p+0)]; - tensor op_5378_cast_fp16 = mul(x = exp_cast_fp16, y = const_167_promoted_to_fp16)[name = tensor("op_5378_cast_fp16")]; - tensor var_5379_to_fp16 = const()[name = tensor("var_5379_to_fp16"), val = tensor(0x1p+0)]; - tensor op_5380_cast_fp16 = add(x = op_5378_cast_fp16, y = var_5379_to_fp16)[name = tensor("op_5380_cast_fp16")]; - tensor var_5381_epsilon_0_to_fp16 = const()[name = tensor("var_5381_epsilon_0_to_fp16"), val = tensor(0x0p+0)]; - tensor op_5381_cast_fp16 = log(epsilon = var_5381_epsilon_0_to_fp16, x = op_5380_cast_fp16)[name = tensor("op_5381_cast_fp16")]; - tensor op_5382_cast_fp16 = add(x = tensor_3_cast_fp16, y = op_5381_cast_fp16)[name = tensor("op_5382_cast_fp16")]; - tensor op_5383_cast_fp16 = add(x = op_5382_cast_fp16, y = b_cast_fp16)[name = tensor("op_5383_cast_fp16")]; - tensor inverse_zz_cast_fp16 = softplus(x = op_5383_cast_fp16)[name = tensor("inverse_zz_cast_fp16")]; - tensor var_5385_to_fp16 = const()[name = tensor("var_5385_to_fp16"), val = tensor(0x1.064p-10)]; - tensor op_5386_cast_fp16 = add(x = inverse_zz_cast_fp16, y = var_5385_to_fp16)[name = tensor("op_5386_cast_fp16")]; - tensor var_5387_epsilon_0_to_fp16 = const()[name = tensor("var_5387_epsilon_0_to_fp16"), val = tensor(0x1.a38p-14)]; - tensor op_5387_cast_fp16 = inverse(epsilon = var_5387_epsilon_0_to_fp16, x = op_5386_cast_fp16)[name = tensor("op_5387_cast_fp16")]; - tensor op_5390_cast_fp16 = mul(x = op_5387_cast_fp16, y = xx_cast_fp16)[name = tensor("op_5390_cast_fp16")]; - tensor op_5391_cast_fp16 = mul(x = op_5387_cast_fp16, y = yy_cast_fp16)[name = tensor("op_5391_cast_fp16")]; - tensor mean_vectors_1_interleave_0 = const()[name = tensor("mean_vectors_1_interleave_0"), val = tensor(false)]; - tensor mean_vectors_1_cast_fp16 = concat(axis = var_5319, interleave = mean_vectors_1_interleave_0, values = (op_5390_cast_fp16, op_5391_cast_fp16, op_5387_cast_fp16))[name = tensor("mean_vectors_1_cast_fp16")]; - tensor op_5394_cast_fp16 = mul(x = op_4711_cast_fp16, y = disparity_cast_fp16)[name = tensor("op_5394_cast_fp16")]; - tensor var_5396_begin_0 = const()[name = tensor("op_5396_begin_0"), val = tensor([0, 2, 0, 0, 0])]; - tensor var_5396_end_0 = const()[name = tensor("op_5396_end_0"), val = tensor([1, 1, 2, 768, 768])]; - tensor var_5396_end_mask_0 = const()[name = tensor("op_5396_end_mask_0"), val = tensor([true, true, true, true, true])]; - tensor op_5396_cast_fp16 = slice_by_index(begin = var_5396_begin_0, end = var_5396_end_0, end_mask = var_5396_end_mask_0, x = mean_vectors_1_cast_fp16)[name = tensor("op_5396_cast_fp16")]; - tensor base_3_cast_fp16 = mul(x = op_5394_cast_fp16, y = op_5396_cast_fp16)[name = tensor("base_3_cast_fp16")]; - tensor learned_delta_3_begin_0 = const()[name = tensor("learned_delta_3_begin_0"), val = tensor([0, 3, 0, 0, 0])]; - tensor learned_delta_3_end_0 = const()[name = tensor("learned_delta_3_end_0"), val = tensor([1, 6, 2, 768, 768])]; - tensor learned_delta_3_end_mask_0 = const()[name = tensor("learned_delta_3_end_mask_0"), val = tensor([true, false, true, true, true])]; - tensor learned_delta_3_cast_fp16 = slice_by_index(begin = learned_delta_3_begin_0, end = learned_delta_3_end_0, end_mask = learned_delta_3_end_mask_0, x = delta_cast_fp16)[name = tensor("learned_delta_3_cast_fp16")]; - tensor var_5400_to_fp16 = const()[name = tensor("var_5400_to_fp16"), val = tensor(0x1.1c8p+0)]; - tensor op_5401_cast_fp16 = mul(x = learned_delta_3_cast_fp16, y = var_5400_to_fp16)[name = tensor("op_5401_cast_fp16")]; - tensor var_5402_to_fp16 = const()[name = tensor("var_5402_to_fp16"), val = tensor(-0x1.194p+1)]; - tensor op_5403_cast_fp16 = add(x = op_5401_cast_fp16, y = var_5402_to_fp16)[name = tensor("op_5403_cast_fp16")]; - tensor op_5404_cast_fp16 = sigmoid(x = op_5403_cast_fp16)[name = tensor("op_5404_cast_fp16")]; - tensor var_5405_to_fp16 = const()[name = tensor("var_5405_to_fp16"), val = tensor(0x1.4p+3)]; - tensor op_5406_cast_fp16 = mul(x = op_5404_cast_fp16, y = var_5405_to_fp16)[name = tensor("op_5406_cast_fp16")]; - tensor singular_values_1_cast_fp16 = mul(x = base_3_cast_fp16, y = op_5406_cast_fp16)[name = tensor("singular_values_1_cast_fp16")]; - tensor learned_delta_5_begin_0 = const()[name = tensor("learned_delta_5_begin_0"), val = tensor([0, 6, 0, 0, 0])]; - tensor learned_delta_5_end_0 = const()[name = tensor("learned_delta_5_end_0"), val = tensor([1, 10, 2, 768, 768])]; - tensor learned_delta_5_end_mask_0 = const()[name = tensor("learned_delta_5_end_mask_0"), val = tensor([true, false, true, true, true])]; - tensor learned_delta_5_cast_fp16 = slice_by_index(begin = learned_delta_5_begin_0, end = learned_delta_5_end_0, end_mask = learned_delta_5_end_mask_0, x = delta_cast_fp16)[name = tensor("learned_delta_5_cast_fp16")]; - tensor base_5_to_fp16 = const()[name = tensor("base_5_to_fp16"), val = tensor([[[[[0x1p+0]]], [[[0x0p+0]]], [[[0x0p+0]]], [[[0x0p+0]]]]])]; - tensor quaternions_1_cast_fp16 = add(x = base_5_to_fp16, y = learned_delta_5_cast_fp16)[name = tensor("quaternions_1_cast_fp16")]; - tensor learned_delta_7_begin_0 = const()[name = tensor("learned_delta_7_begin_0"), val = tensor([0, 10, 0, 0, 0])]; - tensor learned_delta_7_end_0 = const()[name = tensor("learned_delta_7_end_0"), val = tensor([1, 13, 2, 768, 768])]; - tensor learned_delta_7_end_mask_0 = const()[name = tensor("learned_delta_7_end_mask_0"), val = tensor([true, false, true, true, true])]; - tensor learned_delta_7_cast_fp16 = slice_by_index(begin = learned_delta_7_begin_0, end = learned_delta_7_end_0, end_mask = learned_delta_7_end_mask_0, x = delta_cast_fp16)[name = tensor("learned_delta_7_cast_fp16")]; - tensor var_5306_to_fp16 = const()[name = tensor("var_5306_to_fp16"), val = tensor(0x1.47cp-7)]; - tensor var_5305_to_fp16 = const()[name = tensor("var_5305_to_fp16"), val = tensor(0x1.fbp-1)]; - tensor clip_2_cast_fp16 = clip(alpha = var_5306_to_fp16, beta = var_5305_to_fp16, x = base_cast_fp16)[name = tensor("clip_2_cast_fp16")]; - tensor op_5418_cast_fp16 = sub(x = var_5310_to_fp16, y = clip_2_cast_fp16)[name = tensor("op_5418_cast_fp16")]; - tensor op_5419_cast_fp16 = real_div(x = clip_2_cast_fp16, y = op_5418_cast_fp16)[name = tensor("op_5419_cast_fp16")]; - tensor var_5420_epsilon_0_to_fp16 = const()[name = tensor("var_5420_epsilon_0_to_fp16"), val = tensor(0x0p+0)]; - tensor op_5420_cast_fp16 = log(epsilon = var_5420_epsilon_0_to_fp16, x = op_5419_cast_fp16)[name = tensor("op_5420_cast_fp16")]; - tensor var_5421_to_fp16 = const()[name = tensor("var_5421_to_fp16"), val = tensor(0x1.998p-4)]; - tensor op_5422_cast_fp16 = mul(x = learned_delta_7_cast_fp16, y = var_5421_to_fp16)[name = tensor("op_5422_cast_fp16")]; - tensor op_5423_cast_fp16 = add(x = op_5420_cast_fp16, y = op_5422_cast_fp16)[name = tensor("op_5423_cast_fp16")]; - tensor sRGB_cast_fp16 = sigmoid(x = op_5423_cast_fp16)[name = tensor("sRGB_cast_fp16")]; - tensor var_5304_to_fp16 = const()[name = tensor("var_5304_to_fp16"), val = tensor(0x1.4b4p-5)]; - tensor condition_cast_fp16 = less_equal(x = sRGB_cast_fp16, y = var_5304_to_fp16)[name = tensor("condition_cast_fp16")]; - tensor var_5426 = logical_not(x = condition_cast_fp16)[name = tensor("op_5426")]; - tensor var_5304_after_broadcast_to_fp16 = const()[name = tensor("var_5304_after_broadcast_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1317438784)))]; - tensor x_cast_fp16 = select(a = sRGB_cast_fp16, b = var_5304_after_broadcast_to_fp16, cond = var_5426)[name = tensor("x_cast_fp16")]; - tensor _inversed_5429_y_0_to_fp16 = const()[name = tensor("_inversed_5429_y_0_to_fp16"), val = tensor(0x1.3dp-4)]; - tensor _inversed_5429_cast_fp16 = mul(x = sRGB_cast_fp16, y = _inversed_5429_y_0_to_fp16)[name = tensor("_inversed_5429_cast_fp16")]; - tensor var_5430_to_fp16 = const()[name = tensor("var_5430_to_fp16"), val = tensor(0x1.c28p-5)]; - tensor op_5431_cast_fp16 = add(x = x_cast_fp16, y = var_5430_to_fp16)[name = tensor("op_5431_cast_fp16")]; - tensor _inversed_5433_y_0_to_fp16 = const()[name = tensor("_inversed_5433_y_0_to_fp16"), val = tensor(0x1.e54p-1)]; - tensor _inversed_5433_cast_fp16 = mul(x = op_5431_cast_fp16, y = _inversed_5433_y_0_to_fp16)[name = tensor("_inversed_5433_cast_fp16")]; - tensor var_5303_to_fp16 = const()[name = tensor("var_5303_to_fp16"), val = tensor(0x1.334p+1)]; - tensor op_5434_cast_fp16 = pow(x = _inversed_5433_cast_fp16, y = var_5303_to_fp16)[name = tensor("op_5434_cast_fp16")]; - tensor colors_cast_fp16 = select(a = _inversed_5429_cast_fp16, b = op_5434_cast_fp16, cond = condition_cast_fp16)[name = tensor("colors_cast_fp16")]; - tensor learned_delta_begin_0 = const()[name = tensor("learned_delta_begin_0"), val = tensor([0, 13, 0, 0, 0])]; - tensor learned_delta_end_0 = const()[name = tensor("learned_delta_end_0"), val = tensor([1, 14, 2, 768, 768])]; - tensor learned_delta_end_mask_0 = const()[name = tensor("learned_delta_end_mask_0"), val = tensor([true, false, true, true, true])]; - tensor learned_delta_squeeze_mask_0 = const()[name = tensor("learned_delta_squeeze_mask_0"), val = tensor([false, true, false, false, false])]; - tensor learned_delta_cast_fp16 = slice_by_index(begin = learned_delta_begin_0, end = learned_delta_end_0, end_mask = learned_delta_end_mask_0, squeeze_mask = learned_delta_squeeze_mask_0, x = delta_cast_fp16)[name = tensor("learned_delta_cast_fp16")]; - tensor opacities_cast_fp16 = sigmoid(x = learned_delta_cast_fp16)[name = tensor("opacities_cast_fp16")]; - tensor var_5445 = const()[name = tensor("op_5445"), val = tensor([0, 2, 3, 4, 1])]; - tensor concat_9 = const()[name = tensor("concat_9"), val = tensor([1, 1179648, 3])]; - tensor transpose_3_cast_fp16 = transpose(perm = var_5445, x = mean_vectors_1_cast_fp16)[name = tensor("transpose_3")]; - tensor mean_vectors_cast_fp16 = reshape(shape = concat_9, x = transpose_3_cast_fp16)[name = tensor("mean_vectors_cast_fp16")]; - tensor var_5448 = const()[name = tensor("op_5448"), val = tensor([0, 2, 3, 4, 1])]; - tensor concat_10 = const()[name = tensor("concat_10"), val = tensor([1, 1179648, 3])]; - tensor transpose_2_cast_fp16 = transpose(perm = var_5448, x = singular_values_1_cast_fp16)[name = tensor("transpose_2")]; - tensor singular_values_cast_fp16 = reshape(shape = concat_10, x = transpose_2_cast_fp16)[name = tensor("singular_values_cast_fp16")]; - tensor var_5451 = const()[name = tensor("op_5451"), val = tensor([0, 2, 3, 4, 1])]; - tensor concat_11 = const()[name = tensor("concat_11"), val = tensor([1, 1179648, 4])]; - tensor transpose_1_cast_fp16 = transpose(perm = var_5451, x = quaternions_1_cast_fp16)[name = tensor("transpose_1")]; - tensor quaternions_cast_fp16 = reshape(shape = concat_11, x = transpose_1_cast_fp16)[name = tensor("quaternions_cast_fp16")]; - tensor var_5454 = const()[name = tensor("op_5454"), val = tensor([0, 2, 3, 4, 1])]; - tensor concat_12 = const()[name = tensor("concat_12"), val = tensor([1, 1179648, 3])]; - tensor transpose_0_cast_fp16 = transpose(perm = var_5454, x = colors_cast_fp16)[name = tensor("transpose_0")]; - tensor op_5456_cast_fp16 = reshape(shape = concat_12, x = transpose_0_cast_fp16)[name = tensor("op_5456_cast_fp16")]; - tensor op_5456_cast_fp16_to_fp32_dtype_0 = const()[name = tensor("op_5456_cast_fp16_to_fp32_dtype_0"), val = tensor("fp32")]; - tensor concat_13 = const()[name = tensor("concat_13"), val = tensor([1, 1179648])]; - tensor op_5457_cast_fp16 = reshape(shape = concat_13, x = opacities_cast_fp16)[name = tensor("op_5457_cast_fp16")]; - tensor op_5457_cast_fp16_to_fp32_dtype_0 = const()[name = tensor("op_5457_cast_fp16_to_fp32_dtype_0"), val = tensor("fp32")]; - tensor var_5459_axes_0 = const()[name = tensor("op_5459_axes_0"), val = tensor([1])]; - tensor op_5459_cast_fp16 = expand_dims(axes = var_5459_axes_0, x = op_4642_cast_fp16)[name = tensor("op_5459_cast_fp16")]; - tensor var_5460_axes_0 = const()[name = tensor("op_5460_axes_0"), val = tensor([2])]; - tensor op_5460_cast_fp16 = expand_dims(axes = var_5460_axes_0, x = op_5459_cast_fp16)[name = tensor("op_5460_cast_fp16")]; - tensor op_5461_cast_fp16 = mul(x = op_5460_cast_fp16, y = mean_vectors_cast_fp16)[name = tensor("op_5461_cast_fp16")]; - tensor op_5461_cast_fp16_to_fp32_dtype_0 = const()[name = tensor("op_5461_cast_fp16_to_fp32_dtype_0"), val = tensor("fp32")]; - tensor op_5465_cast_fp16 = mul(x = op_5460_cast_fp16, y = singular_values_cast_fp16)[name = tensor("op_5465_cast_fp16")]; - tensor op_5465_cast_fp16_to_fp32_dtype_0 = const()[name = tensor("op_5465_cast_fp16_to_fp32_dtype_0"), val = tensor("fp32")]; - tensor op_5472_cast_fp16 = mul(x = quaternions_cast_fp16, y = quaternions_cast_fp16)[name = tensor("op_5472_cast_fp16")]; - tensor quat_norm_sq_axes_0 = const()[name = tensor("quat_norm_sq_axes_0"), val = tensor([-1])]; - tensor quat_norm_sq_keep_dims_0 = const()[name = tensor("quat_norm_sq_keep_dims_0"), val = tensor(true)]; - tensor quat_norm_sq_cast_fp16 = reduce_sum(axes = quat_norm_sq_axes_0, keep_dims = quat_norm_sq_keep_dims_0, x = op_5472_cast_fp16)[name = tensor("quat_norm_sq_cast_fp16")]; - tensor var_5478_to_fp16 = const()[name = tensor("var_5478_to_fp16"), val = tensor(0x1p-24)]; - tensor const_168_to_fp16 = const()[name = tensor("const_168_to_fp16"), val = tensor(inf)]; - tensor clip_3_cast_fp16 = clip(alpha = var_5478_to_fp16, beta = const_168_to_fp16, x = quat_norm_sq_cast_fp16)[name = tensor("clip_3_cast_fp16")]; - tensor quat_norm_cast_fp16 = sqrt(x = clip_3_cast_fp16)[name = tensor("quat_norm_cast_fp16")]; - tensor quaternions_normalized_cast_fp16 = real_div(x = quaternions_cast_fp16, y = quat_norm_cast_fp16)[name = tensor("quaternions_normalized_cast_fp16")]; - tensor abs_quat_cast_fp16 = abs(x = quaternions_normalized_cast_fp16)[name = tensor("abs_quat_cast_fp16")]; - tensor max_idx_axis_0 = const()[name = tensor("max_idx_axis_0"), val = tensor(-1)]; - tensor max_idx_keep_dims_0 = const()[name = tensor("max_idx_keep_dims_0"), val = tensor(true)]; - tensor max_idx_cast_fp16 = reduce_argmax(axis = max_idx_axis_0, keep_dims = max_idx_keep_dims_0, x = abs_quat_cast_fp16)[name = tensor("max_idx_cast_fp16")]; - tensor one_hot_axis_0 = const()[name = tensor("one_hot_axis_0"), val = tensor(-1)]; - tensor one_hot_mode_0 = const()[name = tensor("one_hot_mode_0"), val = tensor("update")]; - tensor one_hot_1_to_fp16 = const()[name = tensor("one_hot_1_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1324516736)))]; - tensor fill_1_to_fp16 = const()[name = tensor("fill_1_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1333953984)))]; - tensor one_hot_cast_fp16 = scatter_along_axis(axis = one_hot_axis_0, data = one_hot_1_to_fp16, indices = max_idx_cast_fp16, mode = one_hot_mode_0, updates = fill_1_to_fp16)[name = tensor("one_hot_cast_fp16")]; - tensor op_5496_cast_fp16 = mul(x = quaternions_normalized_cast_fp16, y = one_hot_cast_fp16)[name = tensor("op_5496_cast_fp16")]; - tensor max_component_sign_axes_0 = const()[name = tensor("max_component_sign_axes_0"), val = tensor([-1])]; - tensor max_component_sign_keep_dims_0 = const()[name = tensor("max_component_sign_keep_dims_0"), val = tensor(true)]; - tensor max_component_sign_cast_fp16 = reduce_sum(axes = max_component_sign_axes_0, keep_dims = max_component_sign_keep_dims_0, x = op_5496_cast_fp16)[name = tensor("max_component_sign_cast_fp16")]; - tensor var_5502_promoted_to_fp16 = const()[name = tensor("var_5502_promoted_to_fp16"), val = tensor(0x0p+0)]; - tensor op_5503_cast_fp16 = less(x = max_component_sign_cast_fp16, y = var_5502_promoted_to_fp16)[name = tensor("op_5503_cast_fp16")]; - tensor const_169_promoted_to_fp16 = const()[name = tensor("const_169_promoted_to_fp16"), val = tensor(-0x1p+0)]; - tensor op_5504_cast_fp16 = mul(x = quaternions_normalized_cast_fp16, y = const_169_promoted_to_fp16)[name = tensor("op_5504_cast_fp16")]; - tensor var_5503_after_broadcast_reps_0 = const()[name = tensor("op_5503_after_broadcast_reps_0"), val = tensor([1, 1, 4])]; - tensor var_5503_after_broadcast = tile(reps = var_5503_after_broadcast_reps_0, x = op_5503_cast_fp16)[name = tensor("op_5503_after_broadcast")]; - tensor op_5505_cast_fp16 = select(a = op_5504_cast_fp16, b = quaternions_normalized_cast_fp16, cond = var_5503_after_broadcast)[name = tensor("op_5505_cast_fp16")]; - tensor op_5505_cast_fp16_to_fp32_dtype_0 = const()[name = tensor("op_5505_cast_fp16_to_fp32_dtype_0"), val = tensor("fp32")]; - tensor quaternions_rotations = cast(dtype = op_5505_cast_fp16_to_fp32_dtype_0, x = op_5505_cast_fp16)[name = tensor("cast_0")]; - tensor singular_values_scales = cast(dtype = op_5465_cast_fp16_to_fp32_dtype_0, x = op_5465_cast_fp16)[name = tensor("cast_1")]; - tensor mean_vectors_3d_positions = cast(dtype = op_5461_cast_fp16_to_fp32_dtype_0, x = op_5461_cast_fp16)[name = tensor("cast_2")]; - tensor opacities_alpha_channel = cast(dtype = op_5457_cast_fp16_to_fp32_dtype_0, x = op_5457_cast_fp16)[name = tensor("cast_3")]; - tensor colors_rgb_linear = cast(dtype = op_5456_cast_fp16_to_fp32_dtype_0, x = op_5456_cast_fp16)[name = tensor("cast_4")]; - } -> (mean_vectors_3d_positions, singular_values_scales, quaternions_rotations, colors_rgb_linear, opacities_alpha_channel); -} \ No newline at end of file