const int64_t n_tps = n_tokens/n_stream;
const int64_t n_tps_pad = GGML_PAD(n_tps, GGML_KQ_MASK_PAD);
+ std::fill(data, data + ggml_nelements(dst), -INFINITY);
+
// Use only the previous KV cells of the correct sequence for each token of the ubatch.
// It's assumed that if a token in the batch has multiple sequences, they are equivalent.
// Example with a cache of 10 tokens, 2 tokens populated in cache and 3 tokens in batch:
const llama_pos p1 = ubatch->pos[i];
- for (uint32_t j = 0; j < n_kv; ++j) {
- float f = 0.0f;
-
- bool masked = false;
+ const uint64_t idst = n_kv*(h*n_stream*n_tps_pad + s*n_tps_pad + ii);
+ for (uint32_t j = 0; j < n_kv; ++j) {
if (cells.is_empty(j)) {
- masked = true;
- } else {
- const llama_pos p0 = cells.pos_get(j);
-
- // mask the token if not the same sequence
- masked = masked || (!cells.seq_has(j, seq_id));
+ continue;
+ }
- // mask future tokens
- masked = masked || (causal_attn && p0 > p1);
+ // mask the token if not the same sequence
+ if (!cells.seq_has(j, seq_id)) {
+ continue;
+ }
- // apply SWA if any
- masked = masked || (is_masked_swa(p0, p1));
+ const llama_pos p0 = cells.pos_get(j);
- if (!masked && hparams.use_alibi) {
- f = -std::abs(p0 - p1);
- }
+ // mask future tokens
+ if (causal_attn && p0 > p1) {
+ continue;
}
- if (masked) {
- f = -INFINITY;
+ // apply SWA if any
+ if (is_masked_swa(p0, p1)) {
+ continue;
}
- data[h*n_stream*n_tps_pad*n_kv + s*n_tps_pad*n_kv + ii*n_kv + j] = f;
- }
-
- // mask padded tokens
- if (data) {
- for (uint32_t ii = n_tps; ii < n_tps_pad; ++ii) {
- for (uint32_t j = 0; j < n_kv; ++j) {
- data[h*n_stream*n_tps_pad*n_kv + s*n_tps_pad*n_kv + ii*n_kv + j] = -INFINITY;
- }
- }
+ data[idst + j] = hparams.use_alibi ? -std::abs(p0 - p1) : 0.0f;
}
}
}