2316199c97
Bug: After GQA broadcast optimization, v_perm was [kv_h, seq_len, d] in the GQA path, but unconditional v_padded allocation used num_heads: v_padded = torch.zeros((num_heads, padded_len, head_size)) v_padded[:, :seq_len, :] = v_perm # [24, padded, d] vs [4, seq, d] → CRASH Fix: v_padded/v_parts allocation is now inside the non-GQA else branch. GQA branch uses its own v_padded_kv with correct [kv_h, padded, d] shape. This was a real runtime bug — V2 would have crashed on first call for any GQA model (Qwen3.6, Llama, etc.).