John a44a0d7360 Derive RoPE phases from coordinates for the sparse SLAT flows ... ss_flow ships rope_phases precomputed; the SLAT flows do not, because their positions are the input SparseTensor's own coordinates and vary per input. rope_phases_from_coords reproduces RotaryPositionEmbedder, including the pad detail: 3*21=63 frequencies fall one short of head_dim//2=64 and upstream right-pads with 1+0j, so dropping it would shift every later pair by a slot. Verified against ss_flow's own shipped tensor to 9.6e-7 - a real ground truth, since the same embedder produced it.		2026-08-02 12:05:33 +10:00
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test_dit.py	Derive RoPE phases from coordinates for the sparse SLAT flows	2026-08-02 12:05:33 +10:00
test_ops.py	Shared TRELLIS-lineage sparse core in MLX	2026-08-02 10:31:07 +10:00
test_sparse.py	Add masked upsample and parameterise downsample reduction (16/16 tests)	2026-08-02 10:42:20 +10:00