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Check out the documentation for more information.
FlashRT Spatiotemporal Layout
This package provides FlashRT spatiotemporal layout helpers for Hugging Face Kernel Hub.
It is intended for VLA, video, diffusion, and world-model pipelines that move
between latent (B, C, T, H, W) tensors, token matrices, temporal unshuffle
layouts, and short latent caches.
Kernels
ncdhw_to_blc_bf16: convert NCDHW BF16 latents to BLC token matrices.patch_im2col_bf16: materialize patch rows for transformer input.time_unshuffle2_bf16: convert(B, 2C, T, H, W)to(B, C, 2T, H, W).add_bias_ncdhw_bf16: in-place BF16 channel-bias add for NCDHW latents.update_cache2_ncdhw_bf16: maintain a two-frame NCDHW latent cache.channel_to_space3d_bf16: decode channel-packed spatial/temporal output.pack_causal_cache3_nhwc_bf16: pack previous/current causal cache rows.avg_pool3d_channels_bf16: grouped spatiotemporal downsample.ndhwc_to_ncdhw_bf16,ndhwc_to_ncdhw_bias_bf16,ndhwc_to_ncdhw_add_bf16: BF16 layout producer variants.ncdhw_quantize_fp8_static_ndhwc_bf16andupsample2x_quantize_fp8_static_nhwc_bf16: fused layout-to-FP8 producers.
Hardware
- CUDA 12.8+
- BF16-capable NVIDIA GPUs
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:
- Downloads last month
- 8
Supported hardwares new
CUDA
- Torch
- 2.122.13
- OS
- linux
- Arch
- x86_64aarch64





