Cusparse64-11.dll -

A: This often happens with Conda. Conda environments have their own Library\bin folder. Ensure you run conda install cudatoolkit inside the active environment. Also, avoid mixing Conda’s CUDA with system CUDA.

Your software expects CUDA 11.x (hence 11 in the filename), but you might have CUDA 10, 12, or even none installed. Version mismatches are frequent when using PyTorch compiled for CUDA 11.8 but you only have CUDA 12.1 runtime. cusparse64-11.dll

If you are a developer, your application may explicitly link against cusparse64-11.dll when using CUDA Toolkit 11.x. If you are an end-user, you might encounter errors about this missing file when launching a game or scientific app that uses GPU acceleration. A: This often happens with Conda

PyTorch wheels for Windows include their own CUDA 11.8 files, including cuSPARSE. Install with: Also, avoid mixing Conda’s CUDA with system CUDA

– Download from NVIDIA’s official CUDA archive . Choose the latest 11.x version (e.g., 11.8). During installation, ensure cuSPARSE is selected (it’s included by default). After installation, reboot.

| CUDA Version | Corresponding cusparse64-*.dll | Common Applications | |--------------|----------------------------------|----------------------| | CUDA 10.0 | cusparse64-10.dll | Legacy TensorFlow 1.x | | CUDA 10.2 | cusparse64-10.dll | Older PyTorch builds | | | cusparse64-11.dll | PyTorch 1.8 to 2.0, TensorFlow 2.8-2.13 | | CUDA 12.0+ | cusparse64-12.dll | PyTorch 2.1+, TensorFlow 2.14+ |