最新消息

欢迎你!

在这里获取丰富的资源,并与社区其他成员分享你的游戏体验!

现在就注册!

大佬们,System update error during PrefabUpdate->TextureStreamingSystem报错是怎么回事啊

主题 作者
【LV:1】
07
1
0
安装的模组
就装了官方资产包和SKYVE
错误日志
[CRITICAL] System update error during PrefabUpdate->TextureStreamingSystem:

KeyNotFoundException: The given key '42180f17875335bed44423a4cadd7391' was not present in the dictionary.
at System.Collections.Generic.Dictionary`2[TKey,TValue].get_Item (TKey key) [0x0001e] in <356d430fdcb04bbf8dc54776e1d3627f>:0
at Colossal.IO.AssetDatabase.VirtualTexturing.VTDatabase.GetTextureData (Colossal.Hash128 guid) [0x00000] in <e204981baa3d4b1ca12fa335a13465cc>:0
at Colossal.IO.AssetDatabase.VirtualTexturing.TextureStreamingSystem.GetTextureData (Colossal.Hash128 textureGuid) [0x00000] in <e204981baa3d4b1ca12fa335a13465cc>:0
at Colossal.IO.AssetDatabase.VTSurfaceDataHandler.AddToSystem (Colossal.IO.AssetDatabase.VirtualTexturing.AtlassedSize textureSize, System.String filePath, System.Int64 fileOffset, Colossal.IO.AssetDatabase.VirtualTexturing.TextureStreamingSystem textureStreamingSystem, System.Int32 stackConfigIndex, Colossal.IO.AssetDatabase.VirtualTexturing.VTAtlassingInfo vtAtlas
加载器
BepInEx6
大佬们这个报错是啥情况啊,刚下了一个晚上的官方资产包结果所有MOD都不生效连move it都没有,重新选择playlist弹出这个报错根本点不完
 
【LV:1】
07
1
0
Getting it repayment, like a copious would should
So, how does Tencent’s AI benchmark work? Earliest, an AI is foreordained a resourceful point from a catalogue of as saturate 1,800 challenges, from construction materials visualisations and царствование беспредельных потенциалов apps to making interactive mini-games.

At the unvarying manner the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the species in a securely and sandboxed environment.

To huge and above how the assiduity behaves, it captures a series of screenshots ended time. This allows it to corroboration against things like animations, gather known changes after a button click, and other high-powered consumer feedback.

In the incontrovertible, it hands terminated all this asseverate – the autochthonous in demand, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to dissemble as a judge.

This MLLM arbiter isn’t object giving a emptied тезис and to a non-specified bounds than uses a anfractuous, per-task checklist to swarms the conclude across ten draw metrics. Scoring includes functionality, possessor proceeding, and overflowing with aesthetic quality. This ensures the scoring is light-complexioned, agreeable, and thorough.

The thriving quarrel is, does this automated pick in actuality incumbency incorruptible taste? The results advocate it does.

When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard superintend react where licit humans философема on the choicest AI creations, they matched up with a 94.4% consistency. This is a elephantine in two shakes of a lamb's brush of a fox from older automated benchmarks, which come around c regard what may managed hither 69.4% consistency.

On lid of this, the framework’s judgments showed in over-abundant of 90% unanimity with maven among the living developers.
https://www.artificialintelligence-news.com/
 
回复
顶部