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CUDA Python 11.7.1 Release notes

Released on June 29, 2022

Highlights

  • Fix error propagation in CUDA Runtime bindings
  • Resolves issue #22

Limitations

Source builds

CUDA Python no longer re-declares CUDA types, instead it uses the types from CUDA C headers. As such source builds now need to access to latest CTK headers. In particular: 1. "$CUDA_HOME/include" has latest CTK headers 2. CTK headers have all types defined

(2) Certain CUDA types are not declared on mobile platforms and may face a "has not been declared" error during source builds. A temporary workaround is to use the headers found in https://gitlab.com/nvidia/headers/cuda. In particular CUDA Python needs the following headers and their dependencies: - cuda.h - cudaProfiler.h - driver_types.h - cuda_runtime.h - nvrtc.h

This a short-term limitation and will be relaxed in a future release.

CUDA Functions Not Supported in this Release

  • Symbol APIs
    • cudaGraphExecMemcpyNodeSetParamsFromSymbol
    • cudaGraphExecMemcpyNodeSetParamsToSymbol
    • cudaGraphAddMemcpyNodeToSymbol
    • cudaGraphAddMemcpyNodeFromSymbol
    • cudaGraphMemcpyNodeSetParamsToSymbol
    • cudaGraphMemcpyNodeSetParamsFromSymbol
    • cudaMemcpyToSymbol
    • cudaMemcpyFromSymbol
    • cudaMemcpyToSymbolAsync
    • cudaMemcpyFromSymbolAsync
    • cudaGetSymbolAddress
    • cudaGetSymbolSize
    • cudaGetFuncBySymbol
  • Launch Options
    • cudaLaunchKernel
    • cudaLaunchCooperativeKernel
    • cudaLaunchCooperativeKernelMultiDevice
  • cudaSetValidDevices
  • cudaVDPAUSetVDPAUDevice