gen_eth and gen_trx updates

After installing the NVIDIA GPU Computing Toolkit v13, the gen_eth and gen_trx projects started producing an error:

ImportError: DLL load failed while importing _driver: DLL load failed

The reason is that pycuda is trying to load the CUDA DLL from the bin directory:

C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\bin

I am using the latest version of pycuda available at the moment: v2025.1.2.

pycuda\driver.py:

def _add_cuda_libdir_to_dll_path():
from os.path import dirname, join

text
cuda_path = os.environ.get("CUDA_PATH")

if cuda_path is not None:
    os.add_dll_directory(join(cuda_path, "bin"))
    return

However, in version v13 of the NVIDIA GPU Computing Toolkit, the DLLs are located in the bin\x64 directory:

C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\bin\x64

To solve this problem, a new setting CUDA_DLL_PATH has been added to settings.ini, which contains the full path to the CUDA DLL.

settings.ini:

[settings]
CL_PATH=C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\bin\Hostx64\x64
CUDA_DLL_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\bin\x64

The latest versions of gen_eth and gen_trx are available on GitHub:

• https://github.com/optinsoft/gen_eth
• https://github.com/optinsoft/gen_trx

PS. If the following error occurs:

pycuda._driver.LogicError: cuModuleLoadDataEx failed: device kernel image is invalid

then you need to update the NVIDIA video driver: https://www.nvidia.com/en-us/drivers/