| """Canonical shape sweep for KDA forward (chunk form). |
| |
| Mix of: |
| - short-context training-step scale (T=1024) |
| - mid-context (T=2048) which is the headline benchmark |
| - long-context that stresses the inter-chunk recurrence (T=4096) |
| - thin-batch decode-style (B=1, T=2048, fewer heads) |
| |
| Constraints: |
| - T % chunk_size == 0 (chunk_size = 64) |
| - K, V are the per-head channel dims; KDA in Kimi Linear uses K=V=128 |
| """ |
|
|
| SHAPES = [ |
| {"B": 2, "T": 1024, "H": 8, "K": 128, "V": 128, "CHUNK_SIZE": 64}, |
| {"B": 2, "T": 2048, "H": 8, "K": 128, "V": 128, "CHUNK_SIZE": 64}, |
| {"B": 1, "T": 4096, "H": 8, "K": 128, "V": 128, "CHUNK_SIZE": 64}, |
| {"B": 1, "T": 2048, "H": 4, "K": 128, "V": 128, "CHUNK_SIZE": 64}, |
| ] |
|
|
