Remove unused data and add fixes

common/sampling.cpp

@@ -13,6 +13,7 @@ struct llama_sampling_context * llama_sampling_init(const struct llama_sampling_
         // will be empty (default) if there are parse errors
         if (result->parsed_grammar.rules.empty()) {
             fprintf(stderr, "%s: failed to parse grammar\n", __func__);
+            delete result;
             return nullptr;
         }
 

examples/infill/infill.cpp

@@ -241,7 +241,7 @@ int main(int argc, char ** argv) {
     LOG("add_bos: %d\n", add_bos);
 
     bool suff_rm_leading_spc = params.escape;
-    if (suff_rm_leading_spc && params.input_suffix.find_first_of(" ") == 0 && params.input_suffix.size() > 1) {
+    if (suff_rm_leading_spc && params.input_suffix.find_first_of(' ') == 0 && params.input_suffix.size() > 1) {
         params.input_suffix.erase(0, 1);
         suff_rm_leading_spc = false;
     }

examples/llava/clip.cpp

@@ -1277,7 +1277,6 @@ bool clip_model_quantize(const char * fname_inp, const char * fname_out, const i
         ".*weight",
     };
 
-    std::vector<uint8_t> read_data(512);
     std::vector<uint8_t> work(512);
     std::vector<float> conv_buf(512);
     std::vector<int64_t> hist_all(1 << 4, 0);

examples/server/server.cpp

@@ -657,7 +657,7 @@ struct llama_server_context
                     while ((pos = prompt.find(pattern, pos)) != std::string::npos) {
                         size_t end_prefix = pos;
                         pos += pattern.length();
-                        size_t end_pos = prompt.find("]", pos);
+                        size_t end_pos = prompt.find(']', pos);
                         if (end_pos != std::string::npos)
                         {
                             std::string image_id = prompt.substr(pos, end_pos - pos);

pocs/vdot/vdot.cpp

@@ -243,7 +243,6 @@ int main(int argc, char** argv) {
     if (useQ4_1) q41.resize(n4);
     else q40.resize(n4);
     std::vector<block_q8_0> q8(n8);
-    std::vector<int64_t> H(16, 0);
     double sumt = 0, sumt2 = 0, maxt = 0;
     double sumqt = 0, sumqt2 = 0, maxqt = 0;
     double sum = 0, sumq = 0, exactSum = 0;

tests/get-model.cpp

@@ -11,7 +11,7 @@ char * get_model_or_exit(int argc, char *argv[]) {
 
     } else {
         model_path = getenv("LLAMACPP_TEST_MODELFILE");
-        if (!model_path || strlen(model_path) == 0) {
+        if (!model_path || model_path[0] == '\0') {
             fprintf(stderr, "\033[33mWARNING: No model file provided. Skipping this test. Set LLAMACPP_TEST_MODELFILE=<gguf_model_path> to silence this warning and run this test.\n\033[0m");
             exit(EXIT_SUCCESS);
         }

tests/test-backend-ops.cpp

@@ -82,7 +82,6 @@ static std::vector<float> tensor_to_float(const ggml_tensor * t) {
 
     ggml_type_traits_t tt = ggml_internal_get_type_traits(t->type);
     size_t bs = ggml_blck_size(t->type);
-    std::vector<float> vq(ggml_blck_size(t->type));
     bool quantized = ggml_is_quantized(t->type);
 
     // access elements by index to avoid gaps in views

tests/test-llama-grammar.cpp

@@ -190,7 +190,6 @@ int main()
         index++;
     }
 
-    std::vector<std::vector<const llama_grammar_element *>> next_stacks;
     std::vector<llama_grammar_candidate> next_candidates;
     next_candidates.resize(24);