Fix default args

Author: stduhpf

flux.hpp

@@ -824,13 +824,15 @@ namespace Flux {
     };
 
     struct FluxRunner : public GGMLRunner {
+        static std::map<std::string, enum ggml_type> empty_tensor_types;
+
     public:
         FluxParams flux_params;
         Flux flux;
         std::vector<float> pe_vec;  // for cache
 
         FluxRunner(ggml_backend_t backend,
-                   std::map<std::string, enum ggml_type>& tensor_types = std::map<std::string, enum ggml_type>(),
+                   std::map<std::string, enum ggml_type>& tensor_types = empty_tensor_types,
                    const std::string prefix                            = "",
                    SDVersion version                                   = VERSION_FLUX_DEV,
                    bool flash_attn   = false)

mmdit.hpp

@@ -872,12 +872,13 @@ struct MMDiT : public GGMLBlock {
         return x;
     }
 };
-
 struct MMDiTRunner : public GGMLRunner {
     MMDiT mmdit;
 
+    static std::map<std::string, enum ggml_type> empty_tensor_types;
+
     MMDiTRunner(ggml_backend_t backend,
-                std::map<std::string, enum ggml_type>& tensor_types = std::map<std::string, enum ggml_type>(),
+                std::map<std::string, enum ggml_type>& tensor_types = empty_tensor_types,
                 const std::string prefix                            = "",
                 SDVersion version                                   = VERSION_SD3_2B)
         : GGMLRunner(backend), mmdit(version) {

t5.hpp

@@ -856,8 +856,10 @@ struct T5Embedder {
     T5UniGramTokenizer tokenizer;
     T5Runner model;
 
+    static std::map<std::string, enum ggml_type> empty_tensor_types;
+
     T5Embedder(ggml_backend_t backend,
-               std::map<std::string, enum ggml_type>& tensor_types = std::map<std::string, enum ggml_type>(),
+               std::map<std::string, enum ggml_type>& tensor_types = empty_tensor_types,
                const std::string prefix                            = "",
                int64_t num_layers                                  = 24,
                int64_t model_dim                                   = 4096,