@AraqWeyr@palmekla@SebAaltonen Tensor cores are optimized for lower precision data types (INT8, FP16, etc.) for inference, it seems better to stick with trad ALUs
@Fluizxz @SebAaltonen 1. Maybe FSR 3 mods use DLSS for super resolution instead of FSR upscaler.
2. Perhaps some inputs for FSR 3 generation like opical flow are produced by DLSS, potentially utilitizing tensor cores or optical flow accelerators or both.
@SebAaltonen Guess it was treated as an empty string. Under the hood each argument will be evaluated as a static string. So, maybe this evaluation plays a role here.
@iquilezles A dump way I haven't verify:
set all children's text to be the text of the first child, and set all children to be fit-content, then use ::before or ::after with 100% width and 100% height to display the actual text.
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