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Results 1 - 3 of 3 for capability (0.04 sec)

  1. configure.py

            'you want to build with.\nYou can find the compute capability of your '
            'device at: https://developer.nvidia.com/cuda-gpus. Each capability '
            'can be specified as "x.y" or "compute_xy" to include both virtual and'
            ' binary GPU code, or as "sm_xy" to only include the binary '
            'code.\nPlease note that each additional compute capability '
    Registered: Tue Sep 09 12:39:10 UTC 2025
    - Last Modified: Wed Apr 30 15:18:54 UTC 2025
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  2. .bazelrc

    # This is the same as the official TensorFlow builds.
    # See https://developer.nvidia.com/cuda-gpus#compute
    # `compute_XY` enables PTX embedding in addition to SASS. PTX
    # is forward compatible beyond the current compute capability major
    # release while SASS is only forward compatible inside the current
    # major release. Example: sm_80 kernels can run on sm_89 GPUs but
    # not on sm_90 GPUs. compute_80 kernels though can also run on sm_90 GPUs.
    Registered: Tue Sep 09 12:39:10 UTC 2025
    - Last Modified: Fri Aug 22 21:03:34 UTC 2025
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  3. RELEASE.md

    * Fix `cstring.h` missing file issue with the Libtensorflow archive.
    
    # Release 2.17.0
    
    ## TensorFlow
    
    ### Breaking Changes
    
    * GPU
        * Support for NVIDIA GPUs with compute capability 5.x (Maxwell generation) has been removed from TF binary distributions (Python wheels).
    
    ### Major Features and Improvements
    
    Registered: Tue Sep 09 12:39:10 UTC 2025
    - Last Modified: Mon Aug 18 20:54:38 UTC 2025
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