Release v0.7.17

Add support for CUDA SDK 12.5

Add helper library for FFT (cufft64_11.dll) when running FFT functions from
CUDA SDK 12.3 or newer.

Add 32-bit helper library for cuda RunTime 3.0 (cudart32_30_14.dll) for running
old CUDA SDK 3.0 samples and NVIDIA demo's. This however requires some
handheld fiddling. See README.md for info.

Various bugfixes and tweaks.

README.md

@@ -1,10 +1,11 @@
 # NVIDIA Libs
 
-Release: 0.7.16  
+Release: 0.7.17  
 Recommended nVidia proprietary driver branch 550+ for best compatibility with OptiX and CUDA.  
 
 CUDA SDK >11.5 should now mostly be supported. There can still be missing functions  
-Running CUFFT samples with CUDA 12.3 or higher is known to crash.  
+Added CUFFT helper library for FFT functions when running SDK 12.3 and newer  
+See https://github.com/SveSop/nvidia-libs#helper-lib-usage below for usage  
 
 Older drivers that does not support SDK 10 and older may also fail/crash. Report any crashes with  
 logs on the issue page. However these are highly outdated drivers in general and will probably not  
@@ -68,6 +69,30 @@ Or you can run the game with `PROTON_ENABLE_NVAPI=1 DXVK_ENABLE_NVAPI=1 %command
 
 Some additional tweaks may be required depending on game used and version of Proton.  
 
+## Helper lib usage
+To use FFT helper library `cufft64_11.dll` when running CUDA 12.3 or newer, simply  
+symlink the binary to the same folder where the executable you are running like this:  
+`ln -sf nvidia-libs-release\lib64\wine\x86_64-unix\cufft64_11.dll.so cufft64_11.dll`  
+NB. You should probably make a backup of the original `cufft64_11.dll` in that folder.  
+This however requires CUDA SDK 12.3 or newer to be installed on your system!  
+
+To use CUDART 3.0 helper library `cudart32_30_14.dll` when running old SDK 3.0 samples  
+or demos like NVIDIA SuperSonic Sled Demo, do the same as above:  
+`ln -sf nvidia-libs-release\lib\wine\i386-unix\cudart32_30_14.dll.so cudart32_30_14.dll`  
+This is ONLY for 32-bit and requires the 32-bit version of the CUDA SDK 3.0 toolkit  
+installed/extracted on your system (see below).  
+
+Newest CUDA SDK toolkit can be downloaded here:  
+https://developer.nvidia.com/cuda-downloads  
+
+The CUDA SDK 3.0 toolkit can be downloaded here:  
+https://developer.download.nvidia.com/compute/cuda/3_0/toolkit/cudatoolkit_3.0_linux_32_ubuntu9.04.run  
+
+PS. Yes, it is quite a bit quirky to get SDK 3.0 installed like this, but you should be able to  
+extract the lib* files, and you can load them with `LD_LIBRARY_PATH` to get it working on newer  
+distros. Due to this somewhat troublesome exercise, these helper binaries are built but not  
+installed into the WINEPREFIX with the installscript as this is mostly for "specially interested".  
+
 ## Info  
 
 Loads of reference info here: