[Backend] TRT cast GPU input from int64 to int32, output from int32 to int64, and Windows support building CUDA files (#426)

* TRT cast int64 to int32

* windows cmake build cuda src

* fix windows cmake error when build cuda src

* add a notice in windows gpu build doc

* cmake add cuda std=11

* TRT cast output from int32 to int64

* nits

* trt get original input output dtype

docs/en/build_and_install/gpu.md

@@ -10,7 +10,7 @@ FastDeploy supports Paddle Inference, ONNX Runtime and TensorRT in the GPU envir
 | TensorRT              | Windows(x64)<br>Linux(x64)                           | Paddle/ONNX            | Support GPU only, and compilation switch is `ENABLE_TRT_BACKEND`. The default is OFF        |
 | OpenVINO              | Windows(x64)<br>Linux(x64)                           | Paddle/ONNX            | Support CPU only, and compilation switch is `ENABLE_OPENVINO_BACKEND`. The default is OFF   |
 
-Note: 
+Note:
 
 When the environment is GPU, please set `WITH_GPU` as ON and specify `CUDA_DIRECTORY`. If TensorRT integration is needed, please specify `TRT_DIRECTORY` as well.
 
@@ -51,6 +51,8 @@ Prerequisite for Compiling on Windows:
 - cuda >= 11.2
 - cudnn >= 8.2
 
+Notice: Make sure `Visual Studio Integration` is installed during CUDA installation, or manually copy the 4 files under `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\visual_studio_integration\MSBuildExtensions\` into `C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations\`. Otherwise, you may run into `No CUDA toolset found` error during cmake.
+
 Launch the x64 Native Tools Command Prompt for VS 2019 from the Windows Start Menu and run the following commands:
 
 ```