test(mgb): fix tensorrt tests missing cudaSetDevice

GitOrigin-RevId: faeb6ae070082085c49d552a48d949b01f5dcc10

src/tensorrt/test/make_trt_net.cpp

@@ -46,6 +46,7 @@ intl::SimpleTensorRTNetwork::SimpleTensorRTNetwork() {
 
 std::pair<nvinfer1::IBuilder*, INetworkDefinition*>
 intl::SimpleTensorRTNetwork::create_trt_network(bool has_batch_dim) {
+    CompNode::load("xpu0").activate();
     Weights wt_filter{DataType::kFLOAT, nullptr, 0},
             wt_bias{DataType::kFLOAT, nullptr, 0};
     wt_filter.type = DataType::kFLOAT;
@@ -205,6 +206,7 @@ intl::SimpleQuantizedTensorRTNetwork::SimpleQuantizedTensorRTNetwork() {
 std::pair<nvinfer1::IBuilder*, INetworkDefinition*>
 intl::SimpleQuantizedTensorRTNetwork::create_trt_network(
         bool has_batch_dim) {
+    CompNode::load("xpu0").activate();
     Weights wt_filter{DataType::kFLOAT, nullptr, 0},
             wt_bias{DataType::kFLOAT, nullptr, 0};
     wt_filter.type = DataType::kFLOAT;
@@ -290,6 +292,7 @@ intl::ConcatConvTensorRTNetwork::ConcatConvTensorRTNetwork() {
 
 std::pair<nvinfer1::IBuilder*, INetworkDefinition*>
 intl::ConcatConvTensorRTNetwork::create_trt_network(bool has_batch_dim) {
+    CompNode::load("xpu0").activate();
     auto builder = createInferBuilder(TensorRTOpr::Logger::instance());
 #if NV_TENSOR_RT_VERSION >= 6001
     nvinfer1::NetworkDefinitionCreationFlags flags;