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flashrt-siglip-fwd-fusion
FP32 SigLIP no-grad forward fusion API skeleton with eager reference.
Available functions
siglip_residual_layernorm_fwdsiglip_gelu_fwduse_fused_siglip_path
Acceptance status
- Reference/eager autograd path: available.
- CUDA optimized implementation: pending acceptance.
- Precision mode: fp32/bf16 training reference only, no FP8/FP4.
Use this package to lock API integration and run correctness harnesses before replacing the internal reference path with optimized CUDA kernels.
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Supported hardwares new
CUDA
- Torch
- 2.12
- OS
- linux
- Arch
- x86_64





