Fix mask passed to flashinfer (#3324)
Custom masks are padded to the shape `[batch_size, max_len, max_len]`.
However, flashinfer expects an unpadded mask of the shape
`[sum(q_len[i] * k_len[i] for i in range(batch_size)]`.
This change unpads the custom mask (currently only used by Gemma 3)
to this shape (assuming q_len == k_len, since we only use the custom
mask during prefill).
