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* Switch NCCL to build from open source (version 2.3.5-5) by default.Gravatar A. Unique TensorFlower2018-10-05
| | | | | | | Note to users manually patching ptxas from a later toolkit version: Building NCCL requires the same version of ptxas and nvlink. PiperOrigin-RevId: 215911973
* white space removalGravatar Jason Furmanek2018-09-26
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* Find NCCL2 debians in Tensorflow configureGravatar Jason Furmanek2018-09-26
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* Fix nccl for remote builds.Gravatar A. Unique TensorFlower2018-09-06
| | | | | | | | | | Instead of symlinking the install dir, copy the two files we need. Symlinking a system dir like /usr is generally problematic as it can quickly lead to miscompiles for unrelated reasons. Furthermore, bazel will consider it an error if /usr is linked in and contains a recursive symlink in /usr/bin/X11 -> . PiperOrigin-RevId: 211842260
* internal changeGravatar Toby Boyd2018-07-16
| | | | PiperOrigin-RevId: 204832902
* Add support for NCCL2. The configure script asks for what version of NCCL to ↵Gravatar A. Unique TensorFlower2018-04-05
| | | | | | | | use. The default is still NCCL 1 from GitHub. If the user chooses NCCL 2, it asks for the install directory. The nccl_configure.bzl generates two different BUILD files based on the chose NCCL version. For NCCL 1, it aliases to the existing 'nccl_archive' http_repo on GitHub. For NCCL 2, it creates a target containing the NCCL 2 library and headers from the chosen install directory. PiperOrigin-RevId: 191718007
* Remove deleted files.Gravatar Yifei Feng2017-05-05
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* Add cuda_clang build configuration that allows to use clang as a CUDA compiler.Gravatar A. Unique TensorFlower2017-03-30
Change: 151705528