fix the runtime error and now trt and openvino can run together

Author: jslhcl

onnxruntime/core/providers/shared_library/provider_interfaces.h

@@ -167,7 +167,7 @@ struct ProviderHost {
   virtual std::string demangle(const char* name) = 0;
   virtual std::string demangle(const std::string& name) = 0;
 
-#ifdef USE_CUDA
+//#ifdef USE_CUDA
   virtual std::unique_ptr<IAllocator> CreateCUDAAllocator(int16_t device_id, const char* name) = 0;
   virtual std::unique_ptr<IAllocator> CreateCUDAPinnedAllocator(const char* name) = 0;
   virtual std::unique_ptr<IDataTransfer> CreateGPUDataTransfer() = 0;
@@ -179,7 +179,7 @@ struct ProviderHost {
 
   virtual Status CudaCall_false(int retCode, const char* exprString, const char* libName, int successCode, const char* msg, const char* file, const int line) = 0;
   virtual void CudaCall_true(int retCode, const char* exprString, const char* libName, int successCode, const char* msg, const char* file, const int line) = 0;
-#endif
+//#endif
 
 #ifdef USE_MIGRAPHX
   virtual std::unique_ptr<IAllocator> CreateMIGraphXAllocator(int16_t device_id, const char* name) = 0;
@@ -1177,9 +1177,9 @@ struct ProviderHost {
   virtual training::DistributedRunContext& GetDistributedRunContextInstance() = 0;
 #endif
 
-#if defined(USE_CUDA) || defined(USE_ROCM)
+//#if defined(USE_CUDA) || defined(USE_ROCM)
   virtual PhiloxGenerator& PhiloxGenerator__Default() = 0;
-#endif
+//#endif
 
 #ifdef ENABLE_TRAINING_TORCH_INTEROP
   virtual void contrib__PythonOpBase__Init(contrib::PythonOpBase* p, const OpKernelInfo& info) = 0;

onnxruntime/core/session/provider_bridge_ort.cc

@@ -234,7 +234,7 @@ struct ProviderHostImpl : ProviderHost {
   void* CPUAllocator__Alloc(CPUAllocator* p, size_t size) override { return p->CPUAllocator::Alloc(size); }
   void CPUAllocator__Free(CPUAllocator* p, void* allocation) override { return p->CPUAllocator::Free(allocation); }
 
-#ifdef USE_CUDA
+//#ifdef USE_CUDA
   std::unique_ptr<IAllocator> CreateCUDAAllocator(int16_t device_id, const char* name) override { return GetProviderInfo_CUDA().CreateCUDAAllocator(device_id, name); }
   std::unique_ptr<IAllocator> CreateCUDAPinnedAllocator(const char* name) override { return GetProviderInfo_CUDA().CreateCUDAPinnedAllocator(name); }
   std::unique_ptr<IDataTransfer> CreateGPUDataTransfer() override { return GetProviderInfo_CUDA().CreateGPUDataTransfer(); }
@@ -247,7 +247,7 @@ struct ProviderHostImpl : ProviderHost {
 
   Status CudaCall_false(int retCode, const char* exprString, const char* libName, int successCode, const char* msg, const char* file, const int line) override { return GetProviderInfo_CUDA().CudaCall_false(retCode, exprString, libName, successCode, msg, file, line); }
   void CudaCall_true(int retCode, const char* exprString, const char* libName, int successCode, const char* msg, const char* file, const int line) override { GetProviderInfo_CUDA().CudaCall_true(retCode, exprString, libName, successCode, msg, file, line); }
-#endif
+//#endif
 
 #ifdef USE_MIGRAPHX
   std::unique_ptr<IAllocator> CreateMIGraphXAllocator(int16_t device_id, const char* name) override { return GetProviderInfo_MIGraphX().CreateMIGraphXAllocator(device_id, name); }
@@ -1419,9 +1419,9 @@ struct ProviderHostImpl : ProviderHost {
   training::DistributedRunContext& GetDistributedRunContextInstance() override { return training::DistributedRunContext::GetInstance(); }
 #endif
 
-#if defined(USE_CUDA) || defined(USE_ROCM)
+//#if defined(USE_CUDA) || defined(USE_ROCM)
   PhiloxGenerator& PhiloxGenerator__Default() override { return PhiloxGenerator::Default(); }
-#endif
+//#endif
 
 #ifdef ENABLE_TRAINING_TORCH_INTEROP
   void contrib__PythonOpBase__Init(contrib::PythonOpBase* p, const OpKernelInfo& info) override { p->PythonOpBase::Init(info); }