pixal3d_mrp_mlx/.gitignore
John 80991a8fe9 Scope Pixal3D against the shared sparse core
Every SparseConv3d in the Pixal3D model is (channels, out, 3) - stride=1/padding=None,
so spconv dispatches to SubMConv3d, which trellis_sparse_mlx already implements and
benchmarks. attn_mode is 'full' throughout. The container split (VarLenTensor /
SparseTensor) and the get/register_spatial_cache spelling are already in the shared core.

Remaining gap is two ops: SparseUpsample and SparseSpatial2Channel, both cache-paired
with a matching downsample rather than recomputing structure.
2026-08-02 10:36:35 +10:00

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.venv
upstream/
ckpt/
weights/
__pycache__/
*.pyc