Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

To enable device-side assertions with CUDA in PyTorch, you can compile your code with the `TORCH_USE_CUDA_DSA` flag. This flag allows you to perform assertions on the device, which can be helpful for debugging and error checking. By enabling this flag, you can catch errors and issues directly on the GPU.

To compile your code with `TORCH_USE_CUDA_DSA`, you need to modify your build system or makefile. Here's an example of how you can do this using CMake:

add_definitions(-DTORCH_USE_CUDA_DSA)

By adding this line to your CMakeLists.txt file, you can enable device-side assertions in your PyTorch code. Remember to rebuild your project for the changes to take effect.

Please note that enabling device-side assertions may impact performance, so it's recommended to use them only during development and debugging stages.