use int32_t for n_thread type in public llama.cpp API

Author: max-krasnyansky

include/llama.h

@@ -304,8 +304,8 @@ extern "C" {
         uint32_t n_batch;           // logical maximum batch size that can be submitted to llama_decode
         uint32_t n_ubatch;          // physical maximum batch size
         uint32_t n_seq_max;         // max number of sequences (i.e. distinct states for recurrent models)
-        int      n_threads;         // number of threads to use for generation
-        int      n_threads_batch;   // number of threads to use for batch processing
+        int32_t  n_threads;         // number of threads to use for generation
+        int32_t  n_threads_batch;   // number of threads to use for batch processing
 
         enum llama_rope_scaling_type rope_scaling_type; // RoPE scaling type, from `enum llama_rope_scaling_type`
         enum llama_pooling_type      pooling_type;      // whether to pool (sum) embedding results by sequence id
@@ -844,7 +844,7 @@ extern "C" {
     // Set the number of threads used for decoding
     // n_threads is the number of threads used for generation (single token)
     // n_threads_batch is the number of threads used for prompt and batch processing (multiple tokens)
-    LLAMA_API void llama_set_n_threads(struct llama_context * ctx, int n_threads, int n_threads_batch);
+    LLAMA_API void llama_set_n_threads(struct llama_context * ctx, int32_t n_threads, int32_t n_threads_batch);
 
     // Get the number of threads used for generation of a single token.
     LLAMA_API int llama_n_threads(struct llama_context * ctx);

src/llama.cpp

@@ -19389,7 +19389,7 @@ size_t llama_state_seq_load_file(struct llama_context * ctx, const char * filepa
     }
 }
 
-void llama_set_n_threads(struct llama_context * ctx, int n_threads, int n_threads_batch) {
+void llama_set_n_threads(struct llama_context * ctx, int32_t n_threads, int32_t n_threads_batch) {
     ctx->cparams.n_threads       = n_threads;
     ctx->cparams.n_threads_batch = n_threads_batch;
 }