Fix cuda 12.1 windows Build (#15614)

### Description
Fix CUDA 12.1 Windows build error of cuda namespace ambiguous. Use a new namespace for attention softmax.

Tested with VS 2019 and VS 2022 with the following settings:
- OS: Microsoft Windows 11 Enterprise (Version 10.0.22621 Build 22621)
- CUDA: cuda_12.1.0_531.14_windows
- TensorRT: TensorRT-8.6.0.12.Windows10.x86_64.cuda-12.0
- CUDNN: 8.8.1.3 for cuda 12
- Visual Studio Enterprise 2019, version 16.11.26 (MSVC v142) or
  Visual Studio Enterprise 2022 (64-bit), version 17.5.4
- Python: 3.10
- CMake: 3.25.2

VS 2019:
```
build.bat --cmake_generator "Visual Studio 16 2019" --config Release --cmake_extra_defines "CMAKE_CUDA_ARCHITECTURES=52;60;61;70;75;80;86" --skip_submodule_sync --parallel --build_shared_lib --update --build --build_dir .\build\trt --use_cuda --cuda_version "12.1" --cuda_home "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1" --cudnn_home "C:\CuDNN\8.8.1.3_cuda12" --use_tensorrt --tensorrt_home "C:\TensorRT-8.6.0.12.Windows10.x86_64.cuda-12.0\TensorRT-8.6.0.12"
```

VS 2022:
```
build.bat --cmake_generator "Visual Studio 17 2022" --config Release --cmake_extra_defines "CMAKE_CUDA_ARCHITECTURES=52;60;61;70;75;80;86" --skip_submodule_sync --parallel --build_shared_lib --update --build --build_dir .\build\trt_2022 --use_cuda --cuda_version "12.1" --cuda_home "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1" --cudnn_home "C:\CuDNN\8.8.1.3_cuda12" --use_tensorrt --tensorrt_home "C:\TensorRT-8.6.0.12.Windows10.x86_64.cuda-12.0\TensorRT-8.6.0.12"
```


### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->

#15242

Author: tianleiwu

cmake/onnxruntime_rocm_hipify.cmake

@@ -9,6 +9,7 @@ set(contrib_ops_excluded_files
   "bert/attention.h"
   "bert/attention_impl.cu"
   "bert/attention_softmax.h"
+  "bert/attention_softmax.cu"
   "bert/decoder_masked_multihead_attention.h"
   "bert/decoder_masked_multihead_attention.cc"
   "bert/decoder_masked_self_attention.h"

onnxruntime/contrib_ops/cuda/bert/attention_impl.cu

@@ -44,7 +44,7 @@ limitations under the License.
 #include "contrib_ops/cuda/bert/cutlass_fmha/memory_efficient_attention.h"
 
 using namespace onnxruntime::cuda;
-using namespace cub;
+using namespace onnxruntime::contrib::attention_softmax_cuda;
 
 namespace onnxruntime {
 namespace contrib {