llama : fix T5 segfault again

Author: compilade

src/llama.cpp

@@ -15482,12 +15482,13 @@ static int llama_encode_internal(
             float * embd_out = lctx.embd_enc.data();
 
             ggml_backend_tensor_get_async(backend_embd, embd, embd_out, 0, n_tokens*n_embd*sizeof(float));
+            GGML_ASSERT(!ubatch.equal_seqs); // TODO: handle equal splits
 
             // remember the sequence ids used during the encoding - needed for cross attention later
             lctx.seq_ids_enc.resize(n_tokens);
             for (uint32_t i = 0; i < n_tokens; i++) {
-                for (int s = 0; s < batch.n_seq_id[i]; s++) {
-                    llama_seq_id seq_id = batch.seq_id[i][s];
+                for (int s = 0; s < ubatch.n_seq_id[i]; s++) {
+                    llama_seq_id seq_id = ubatch.seq_id[i][s];
                     lctx.seq_ids_enc[i].insert(seq_id);
                 }
             }
@@ -15512,8 +15513,10 @@ static int llama_encode_internal(
                         auto & embd_seq_out = lctx.embd_seq;
                         embd_seq_out.clear();
 
+                        GGML_ASSERT(!ubatch.equal_seqs); // TODO: handle equal splits
+
                         for (uint32_t i = 0; i < n_tokens; i++) {
-                            const llama_seq_id seq_id = batch.seq_id[i][0];
+                            const llama_seq_id seq_id = ubatch.seq_id[i][0];
                             if (embd_seq_out.find(seq_id) != embd_seq_out.end()) {
                                 continue;
                             }