Fix compiler warnings

sherpa-onnx/csrc/provider-config.cc

@@ -13,14 +13,15 @@ namespace sherpa_onnx {
 
 void CudaConfig::Register(ParseOptions *po) {
   po->Register("cuda-cudnn-conv-algo-search", &cudnn_conv_algo_search,
-          "CuDNN convolution algrorithm search");
+               "CuDNN convolution algrorithm search");
 }
 
 bool CudaConfig::Validate() const {
   if (cudnn_conv_algo_search < 1 || cudnn_conv_algo_search > 3) {
-    SHERPA_ONNX_LOGE("cudnn_conv_algo_search: '%d' is not a valid option."
-                     "Options : [1,3]. Check OnnxRT docs",
-                    cudnn_conv_algo_search);
+    SHERPA_ONNX_LOGE(
+        "cudnn_conv_algo_search: '%d' is not a valid option."
+        "Options : [1,3]. Check OnnxRT docs",
+        cudnn_conv_algo_search);
     return false;
   }
   return true;
@@ -37,41 +38,41 @@ std::string CudaConfig::ToString() const {
 
 void TensorrtConfig::Register(ParseOptions *po) {
   po->Register("trt-max-workspace-size", &trt_max_workspace_size,
-              "Set TensorRT EP GPU memory usage limit.");
+               "Set TensorRT EP GPU memory usage limit.");
   po->Register("trt-max-partition-iterations", &trt_max_partition_iterations,
-              "Limit partitioning iterations for model conversion.");
+               "Limit partitioning iterations for model conversion.");
   po->Register("trt-min-subgraph-size", &trt_min_subgraph_size,
-              "Set minimum size for subgraphs in partitioning.");
+               "Set minimum size for subgraphs in partitioning.");
   po->Register("trt-fp16-enable", &trt_fp16_enable,
-              "Enable FP16 precision for faster performance.");
+               "Enable FP16 precision for faster performance.");
   po->Register("trt-detailed-build-log", &trt_detailed_build_log,
-              "Enable detailed logging of build steps.");
+               "Enable detailed logging of build steps.");
   po->Register("trt-engine-cache-enable", &trt_engine_cache_enable,
-              "Enable caching of TensorRT engines.");
+               "Enable caching of TensorRT engines.");
   po->Register("trt-timing-cache-enable", &trt_timing_cache_enable,
-              "Enable use of timing cache to speed up builds.");
+               "Enable use of timing cache to speed up builds.");
   po->Register("trt-engine-cache-path", &trt_engine_cache_path,
-              "Set path to store cached TensorRT engines.");
+               "Set path to store cached TensorRT engines.");
   po->Register("trt-timing-cache-path", &trt_timing_cache_path,
-              "Set path for storing timing cache.");
+               "Set path for storing timing cache.");
   po->Register("trt-dump-subgraphs", &trt_dump_subgraphs,
-              "Dump optimized subgraphs for debugging.");
+               "Dump optimized subgraphs for debugging.");
 }
 
 bool TensorrtConfig::Validate() const {
   if (trt_max_workspace_size < 0) {
-    SHERPA_ONNX_LOGE("trt_max_workspace_size: %lld is not valid.",
-        trt_max_workspace_size);
+    SHERPA_ONNX_LOGE("trt_max_workspace_size: %ld is not valid.",
+                     trt_max_workspace_size);
     return false;
   }
   if (trt_max_partition_iterations < 0) {
     SHERPA_ONNX_LOGE("trt_max_partition_iterations: %d is not valid.",
-        trt_max_partition_iterations);
+                     trt_max_partition_iterations);
     return false;
   }
   if (trt_min_subgraph_size < 0) {
     SHERPA_ONNX_LOGE("trt_min_subgraph_size: %d is not valid.",
-        trt_min_subgraph_size);
+                     trt_min_subgraph_size);
     return false;
   }
 
@@ -83,23 +84,19 @@ std::string TensorrtConfig::ToString() const {
 
   os << "TensorrtConfig(";
   os << "trt_max_workspace_size=" << trt_max_workspace_size << ", ";
-  os << "trt_max_partition_iterations="
-      << trt_max_partition_iterations << ", ";
+  os << "trt_max_partition_iterations=" << trt_max_partition_iterations << ", ";
   os << "trt_min_subgraph_size=" << trt_min_subgraph_size << ", ";
-  os << "trt_fp16_enable=\""
-      << (trt_fp16_enable? "True" : "False") << "\", ";
+  os << "trt_fp16_enable=\"" << (trt_fp16_enable ? "True" : "False") << "\", ";
   os << "trt_detailed_build_log=\""
-      << (trt_detailed_build_log? "True" : "False") << "\", ";
+     << (trt_detailed_build_log ? "True" : "False") << "\", ";
   os << "trt_engine_cache_enable=\""
-      << (trt_engine_cache_enable? "True" : "False") << "\", ";
-  os << "trt_engine_cache_path=\""
-      << trt_engine_cache_path.c_str() << "\", ";
+     << (trt_engine_cache_enable ? "True" : "False") << "\", ";
+  os << "trt_engine_cache_path=\"" << trt_engine_cache_path.c_str() << "\", ";
   os << "trt_timing_cache_enable=\""
-      << (trt_timing_cache_enable? "True" : "False") << "\", ";
-  os << "trt_timing_cache_path=\""
-      << trt_timing_cache_path.c_str() << "\",";
-  os << "trt_dump_subgraphs=\""
-      << (trt_dump_subgraphs? "True" : "False") << "\" )";
+     << (trt_timing_cache_enable ? "True" : "False") << "\", ";
+  os << "trt_timing_cache_path=\"" << trt_timing_cache_path.c_str() << "\",";
+  os << "trt_dump_subgraphs=\"" << (trt_dump_subgraphs ? "True" : "False")
+     << "\" )";
   return os.str();
 }