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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 - 48.3K bytes - Viewed (0) -
.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 - 56K bytes - Viewed (0) -
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 ImprovementsRegistered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Mon Aug 18 20:54:38 UTC 2025 - 740K bytes - Viewed (3)