Remove explicit batch network flag for TRT 10+ (microsoft#24298)

### Description
`nvinfer1::NetworkDefinitionCreationFlag::kEXPLICIT_BATCH` [has been
deprecated since
10.0](https://docs.nvidia.com/deeplearning/tensorrt/latest/_static/c-api/namespacenvinfer1.html#aa8f406be96c14b7dbea548cf19f09a08)
and is always implicitly set for versions 10.0+. Change the EP code to
only set this flag for TRT versions 8 and below.

### Motivation and Context

Removes deprecated API usages in the TRT EP code.

Signed-off-by: Kevin Chen <[email protected]>

Author: kevinch-nv

onnxruntime/core/providers/tensorrt/tensorrt_execution_provider.cc

@@ -2296,8 +2296,9 @@ SubGraphCollection_t TensorrtExecutionProvider::GetSupportedList(SubGraphCollect
         auto network_flags = 0;
 #if NV_TENSORRT_MAJOR > 8
         network_flags |= fp16_enable_ || int8_enable_ ? 0 : 1U << static_cast<uint32_t>(nvinfer1::NetworkDefinitionCreationFlag::kSTRONGLY_TYPED);
-#endif
+#else
         network_flags |= 1U << static_cast<uint32_t>(nvinfer1::NetworkDefinitionCreationFlag::kEXPLICIT_BATCH);
+#endif
 
         auto trt_network = std::unique_ptr<nvinfer1::INetworkDefinition>(trt_builder->createNetworkV2(network_flags));
         auto trt_parser = tensorrt_ptr::unique_pointer<nvonnxparser::IParser>(nvonnxparser::createParser(*trt_network, trt_logger));
@@ -2907,8 +2908,9 @@ Status TensorrtExecutionProvider::CreateNodeComputeInfoFromGraph(const GraphView
   auto network_flags = 0;
 #if NV_TENSORRT_MAJOR > 8
   network_flags |= fp16_enable_ || int8_enable_ ? 0 : 1U << static_cast<uint32_t>(nvinfer1::NetworkDefinitionCreationFlag::kSTRONGLY_TYPED);
-#endif
+#else
   network_flags |= 1U << static_cast<uint32_t>(nvinfer1::NetworkDefinitionCreationFlag::kEXPLICIT_BATCH);
+#endif
   auto trt_network = std::unique_ptr<nvinfer1::INetworkDefinition>(trt_builder->createNetworkV2(network_flags));
   auto trt_config = std::unique_ptr<nvinfer1::IBuilderConfig>(trt_builder->createBuilderConfig());
   auto trt_parser = tensorrt_ptr::unique_pointer<nvonnxparser::IParser>(nvonnxparser::createParser(*trt_network, trt_logger));