# CUDA Python 11.7.1 Release notes

Released on June 29, 2022

## Highlights
- Fix error propagation in CUDA Runtime bindings
- Resolves [issue #22](https://github.com/NVIDIA/cuda-python/issues/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](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