For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /max/get-started.md).

Mojo module

learnable_2d_interp_pos_emb

Learnable 2D interpolated position embedding (Kimi K2.5 MoonViT3d).

Equivalent to Learnable2DInterpPosEmbDivided_fixed.forward() from nvidia/Kimi-K2.5-NVFP4/modeling_kimi_k25.py.

For each video described by grid_thws:

1. Bicubic-interpolates the learnable 2D weight grid from (H, W) to (h, w). When (h, w) == (H, W) the grid is used directly.
2. If t > 1 adds a 1D sincos temporal embedding per frame.
3. Adds the result element-wise to x.

Tensor layout (all row-major):

• x: (L, dim) patch embeddings
• weight: (H, W, dim) learnable 2D grid
• grid_thws: (N, 3) int64 per-video (t, h, w)
• time_weight: (num_frames, dim) float32 1D sincos temporal embedding
• output: (L, dim) x + interpolated position embedding

Functions

• ​learnable_2d_interp_pos_emb: Applies learnable 2D interpolated position embedding on GPU.

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