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| author | Andrew W Elble <aweits@rit.edu> | 2020-04-23 12:14:09 -0400 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-04-23 11:14:09 -0500 |
| commit | d5d232e20767b8c0abc56ba75f07c4537449e333 (patch) | |
| tree | 0b1dc6fc729f0f1956053f48d811773542bb52e5 /.github/ISSUE_TEMPLATE | |
| parent | ca67df6e3d61cdbc615d85cc223dcc2314bc6b6c (diff) | |
| download | spack-d5d232e20767b8c0abc56ba75f07c4537449e333.tar.gz spack-d5d232e20767b8c0abc56ba75f07c4537449e333.tar.bz2 spack-d5d232e20767b8c0abc56ba75f07c4537449e333.tar.xz spack-d5d232e20767b8c0abc56ba75f07c4537449e333.zip | |
tensorflow: compile against spack-provided protobuf (#16258)
This allows horovod to be built with frameworks=pytorch,tensorflow.
I tracked down the crash I observed in #15719, where loading torch
before tensorflow would cause a crash in:
google::protobuf::internal::(anonymous
namespace)::InitSCC_DFS(google::protobuf::internal::SCCInfoBase*)
The solution is to make tensorflow compile against the protobuf
version Spack provides, instead of allowing it to use it's own.
It's likely we'll want to go after some of the others
that are listed in third_party/systemlibs/syslibs_configure.bzl
in the future.
Diffstat (limited to '.github/ISSUE_TEMPLATE')
0 files changed, 0 insertions, 0 deletions