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Check out the documentation for more information.
FlashRT Adaptive Norms
This package provides FlashRT adaptive normalization kernels for Hugging Face Kernel Hub.
It is intended for DiT, VLA, video, and world-model blocks that use RMSNorm plus per-row style scale/shift/gate parameters.
Kernels
ada_rms_norm_style_bf16: RMSNorm + style scale/shift, with BF16 output and BF16 gate extraction.gate_residual_ada_norm_fp8_static_bf16: in-place gated residual update, AdaRMSNorm, static FP8 E4M3 output, and BF16 gate extraction.
Hardware
- CUDA 12.8+
- BF16-capable NVIDIA GPUs
- FP8-capable NVIDIA GPUs for the FP8 output API
Current local source validation is on RTX 5090. Broader hardware rows should be added after installed-artifact validation.
Upstream
The serving source of truth remains FlashRT:
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Supported hardwares new
CUDA
- Torch
- 2.122.13
- OS
- linux
- Arch
- x86_64aarch64





