updating trt workspace int64 (#1094)

Signed-off-by: Manix <manickavela1998@gmail.com>

@@ -60,7 +60,7 @@ void TensorrtConfig::Register(ParseOptions *po) {
 
 bool TensorrtConfig::Validate() const {
   if (trt_max_workspace_size < 0) {
-    SHERPA_ONNX_LOGE("trt_max_workspace_size: %d is not valid.",
+    SHERPA_ONNX_LOGE("trt_max_workspace_size: %lld is not valid.",
         trt_max_workspace_size);
     return false;
   }

@@ -27,7 +27,7 @@ struct CudaConfig {
 };
 
 struct TensorrtConfig {
-  int32_t trt_max_workspace_size = 2147483647;
+  int64_t trt_max_workspace_size = 2147483647;
   int32_t trt_max_partition_iterations = 10;
   int32_t trt_min_subgraph_size = 5;
   bool trt_fp16_enable = true;
@@ -39,7 +39,7 @@ struct TensorrtConfig {
   bool trt_dump_subgraphs = false;
 
   TensorrtConfig() = default;
-  TensorrtConfig(int32_t trt_max_workspace_size,
+  TensorrtConfig(int64_t trt_max_workspace_size,
                 int32_t trt_max_partition_iterations,
                 int32_t trt_min_subgraph_size,
                 bool trt_fp16_enable,

@@ -14,7 +14,7 @@ void PybindTensorrtConfig(py::module *m) {
   using PyClass = TensorrtConfig;
   py::class_<PyClass>(*m, "TensorrtConfig")
         .def(py::init<>())
-        .def(py::init([](int32_t trt_max_workspace_size,
+        .def(py::init([](int64_t trt_max_workspace_size,
                       int32_t trt_max_partition_iterations,
                       int32_t trt_min_subgraph_size,
                       bool trt_fp16_enable,