llama : logits_all has priority over batch->logits

Otherwise, the server embeddings tests failed.
This was likely an existing problem but was only detected here
because of an additional assertion.

src/llama.cpp

@@ -2898,7 +2898,12 @@ struct llama_sbatch {
                 }
             }
         }
-        if (batch->logits) {
+        if (logits_all) {
+            for (size_t i = 0; i < length; ++i) {
+                ubatch.output[ubatch.n_tokens + i] = 1;
+                out_ids.push_back(ids[seq.offset + i]);
+            }
+        } else if (batch->logits) {
             if (ubatch.equal_seqs) {
                 for (size_t i = 0; i < length; ++i) {
                     size_t id = ids[seq.offset + i];
@@ -2913,11 +2918,6 @@ struct llama_sbatch {
                     if (ubatch.output[i] != 0) { out_ids.push_back(seq.offset + i); }
                 }
             }
-        } else if (logits_all) {
-            for (size_t i = 0; i < length; ++i) {
-                ubatch.output[ubatch.n_tokens + i] = 1;
-                out_ids.push_back(ids[seq.offset + i]);
-            }
         } else {
             // only get last output
             for (size_t i = 0; i < length; ++i) {
@@ -15088,7 +15088,7 @@ static int llama_decode_internal(
     };
 
     while (lctx.sbatch.n_tokens > 0) {
-        // For now, only use equal splits for recurrent or hybrid model architectures
+        // For now, only use equal splits for recurrent model architectures
         llama_ubatch u_batch = kv_self.recurrent ? lctx.sbatch.split_equal(n_ubatch) : lctx.sbatch.split_simple(n_ubatch);
         const uint32_t n_tokens = u_batch.n_tokens;