Make sampling not throw exception

common/sampling.cpp

@@ -189,13 +189,16 @@ static llama_token llama_sampling_sample_impl(
 
     std::vector<float> original_logits;
     auto cur_p = llama_sampling_prepare(ctx_sampling, ctx_main, ctx_cfg, idx, /* apply_grammar= */ is_resampling, &original_logits);
+    if (cur_p.data == NULL) {
+        return -1;
+    }
     if (ctx_sampling->grammar != NULL && !is_resampling) {
         GGML_ASSERT(!original_logits.empty());
     }
     llama_token id = 0;
     // Get a pointer to the logits
     float * logits = llama_get_logits_ith(ctx_main, idx);
-    GGML_ASSERT(logits); // already checked in llama_sampling_prepare 
+    GGML_ASSERT(logits); // already checked in llama_sampling_prepare
 
     if (temp < 0.0) {
         // greedy sampling, with probs
@@ -286,7 +289,7 @@ static llama_token_data_array llama_sampling_prepare_impl(
     // Get a pointer to the logits
     float * logits = llama_get_logits_ith(ctx_main, idx);
     if (!logits) {
-        throw std::runtime_error("llama_get_logits_ith failed");
+        return {NULL, 0, false};
     }
 
     if (ctx_sampling->grammar != NULL && !apply_grammar) {
@@ -303,7 +306,7 @@ static llama_token_data_array llama_sampling_prepare_impl(
     if (ctx_cfg) {
         float * logits_guidance = llama_get_logits_ith(ctx_cfg, idx);
         if (!logits_guidance) {
-            throw std::runtime_error("llama_get_logits_ith failed");
+            return {NULL, 0, false};
         }
         llama_sample_apply_guidance(ctx_main, logits, logits_guidance, params.cfg_scale);
     }

examples/infill/infill.cpp

@@ -530,6 +530,9 @@ int main(int argc, char ** argv) {
         if ((int) embd_inp.size() <= n_consumed && !is_interacting) {
 
             const llama_token id = llama_sampling_sample(ctx_sampling, ctx, ctx_guidance);
+            if (id == -1) {
+                return 1;
+            }
 
             llama_sampling_accept(ctx_sampling, ctx, id, true);
 

examples/llava/llava-cli.cpp

@@ -44,6 +44,7 @@ static const char * sample(struct llama_sampling_context * ctx_sampling,
                            struct llama_context * ctx_llama,
                            int * n_past) {
     const llama_token id = llama_sampling_sample(ctx_sampling, ctx_llama, NULL);
+    GGML_ASSERT(id != -1);
     llama_sampling_accept(ctx_sampling, ctx_llama, id, true);
     static std::string ret;
     if (llama_token_is_eog(llama_get_model(ctx_llama), id)) {

examples/lookahead/lookahead.cpp

@@ -159,6 +159,9 @@ int main(int argc, char ** argv) {
     // sample first token
     {
         id = llama_sampling_sample(ctx_sampling, ctx, NULL, 0);
+        if (id == -1) {
+            return 1;
+        }
 
         llama_sampling_accept(ctx_sampling, ctx, id, true);
 
@@ -284,6 +287,9 @@ int main(int argc, char ** argv) {
 
             // sample the next token
             id = llama_sampling_sample(ctx_sampling, ctx, NULL, i_batch);
+            if (id == -1) {
+                return 1;
+            }
 
             llama_sampling_accept(ctx_sampling, ctx, id, true);
 
@@ -361,6 +367,9 @@ int main(int argc, char ** argv) {
                     // sample from the last level
                     for (int i = 0; i < W; i++) {
                         tokens_j[N - 2][i] = llama_sampling_sample(ctx_sampling, ctx, NULL, ngrams_cur.size()*(N-1) + W*(N - 2) + i);
+                        if (tokens_j[N - 2][i] == -1) {
+                            return 1;
+                        }
                     }
                 } else {
                     for (int i = 0; i < W; i++) {

examples/lookup/lookup.cpp

@@ -131,6 +131,7 @@ int main(int argc, char ** argv){
         while (true) {
             // sample from the target model
             llama_token id = llama_sampling_sample(ctx_sampling, ctx, NULL, i_dft);
+            GGML_ASSERT(id != -1);
 
             llama_sampling_accept(ctx_sampling, ctx, id, true);
 

examples/main/main.cpp

@@ -706,6 +706,9 @@ int main(int argc, char ** argv) {
             }
 
             const llama_token id = llama_sampling_sample(ctx_sampling, ctx, ctx_guidance);
+            if (id == -1) {
+                return 1;
+            }
 
             llama_sampling_accept(ctx_sampling, ctx, id, /* apply_grammar= */ true);
 

examples/parallel/parallel.cpp

@@ -341,6 +341,7 @@ int main(int argc, char ** argv) {
                 //        client.id, client.seq_id, client.sampled, client.n_decoded, client.i_batch);
 
                 const llama_token id = llama_sampling_sample(client.ctx_sampling, ctx, NULL, client.i_batch - i);
+                GGML_ASSERT(id != -1);
 
                 llama_sampling_accept(client.ctx_sampling, ctx, id, true);
 

examples/server/server.cpp

@@ -2257,6 +2257,9 @@ struct server_context {
 
                 completion_token_output result;
                 const llama_token id = llama_sampling_sample(slot.ctx_sampling, ctx, NULL, slot.i_batch - i);
+                if (id == -1) {
+                    continue; // keep going, don't crash, already logged
+                }
 
                 llama_sampling_accept(slot.ctx_sampling, ctx, id, true);
 

examples/speculative/speculative.cpp

@@ -229,6 +229,9 @@ int main(int argc, char ** argv) {
                     // stochastic verification
 
                     llama_token_data_array dist_tgt = llama_sampling_prepare(ctx_sampling, ctx_tgt, NULL, drafts[s_keep].i_batch_tgt[i_dft], true, NULL);
+                    if (dist_tgt.data == NULL) {
+                        return 1;
+                    }
                     llama_sample_softmax(ctx_tgt, &dist_tgt);
                     float p_tgt = 0, p_dft = 0;
 
@@ -337,6 +340,9 @@ int main(int argc, char ** argv) {
                     // sample from the target model
                     LOG("sampling target: s_keep = %3d, i_dft = %3d, i_batch_tgt = %3d\n", s_keep, i_dft, drafts[s_keep].i_batch_tgt[i_dft]);
                     token_id = llama_sampling_sample(ctx_sampling, ctx_tgt, NULL, drafts[s_keep].i_batch_tgt[i_dft]);
+                    if (token_id == -1) {
+                        return 1;
+                    }
 
                     llama_sampling_accept(ctx_sampling, ctx_tgt, token_id, true);
 
@@ -457,7 +463,9 @@ int main(int argc, char ** argv) {
                     continue;
                 }
 
-                llama_sampling_sample(drafts[s].ctx_sampling, ctx_dft, NULL, drafts[s].i_batch_dft);
+                if (llama_sampling_sample(drafts[s].ctx_sampling, ctx_dft, NULL, drafts[s].i_batch_dft) == -1) {
+                    return -1;
+                }
 
                 const auto & cur_p = drafts[s].ctx_sampling->cur;