[Lora] Adjust device dispatch according to the new OrtDevice defs (#26551)

### Description
Check the device type and vendor to obtain data transfer.

### Motivation and Context
Lora obtains DataTransfer based on the OrtMemoryInfo name which is now
arbitrary.
We should now rely on memory type and vendor definitions.

---------

Co-authored-by: Copilot <[email protected]>

Author: yuslepukhin

onnxruntime/core/session/lora_adapters.cc

@@ -53,11 +53,11 @@ void LoraAdapter::MemoryMap(const std::filesystem::path& file_path) {
 static std::unique_ptr<IDataTransfer> GetDataTransfer(const OrtMemoryInfo& mem_info) {
   std::unique_ptr<IDataTransfer> data_transfer;
 
-  if (mem_info.name == onnxruntime::CPU) {
+  if (mem_info.device.Type() == OrtDevice::CPU) {
     return data_transfer;
   }
 
-  if (mem_info.name == onnxruntime::CUDA) {
+  if (mem_info.device.Type() == OrtDevice::GPU && mem_info.device.Vendor() == OrtDevice::VendorIds::NVIDIA) {
 #if defined(USE_CUDA) || defined(USE_CUDA_PROVIDER_INTERFACE)
     auto* cuda_provider_info = TryGetProviderInfo_CUDA();
     if (cuda_provider_info != nullptr) {

onnxruntime/test/lora/lora_test.cc

@@ -216,7 +216,9 @@ TEST(LoraAdapterTest, VerifyDeviceCopy) {
   for (; begin != end; ++begin) {
     const auto& [_, param] = *begin;
     const auto& tensor_device = param.GetDeviceOrMapped().Get<Tensor>();
-    ASSERT_EQ(0, strcmp(tensor_device.Location().name.c_str(), onnxruntime::CUDA));
+    const auto& mem_info = tensor_device.Location();
+    ASSERT_EQ(mem_info.device.Type(), OrtDevice::GPU);
+    ASSERT_EQ(mem_info.device.Vendor(), OrtDevice::VendorIds::NVIDIA);
 
     const auto& tensor_cpu = param.GetMapped().Get<Tensor>();
     ASSERT_EQ(tensor_cpu.Shape().Size(), tensor_device.Shape().Size());