Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/18598
ghimport-source-id: c74597e5e7437e94a43c163cee0639b20d0d0c6a
Stack from [ghstack](https://github.com/ezyang/ghstack):
* **#18598 Turn on F401: Unused import warning.**
This was requested by someone at Facebook; this lint is turned
on for Facebook by default. "Sure, why not."
I had to noqa a number of imports in __init__. Hypothetically
we're supposed to use __all__ in this case, but I was too lazy
to fix it. Left for future work.
Be careful! flake8-2 and flake8-3 behave differently with
respect to import resolution for # type: comments. flake8-3 will
report an import unused; flake8-2 will not. For now, I just
noqa'd all these sites.
All the changes were done by hand.
Signed-off-by: Edward Z. Yang <ezyang@fb.com>
Differential Revision: D14687478
fbshipit-source-id: 30d532381e914091aadfa0d2a5a89404819663e3
Summary:
With this patch you can use USE_DISTRIBUTED=OFF (possibly in combination with USE_NCCL=OFF (?))
The significance is partly because the NCCL doesn't build with CUDA 8.
This is written under the assumption that NCCL is required for distributed if not, the USE_DISTRIBUTED check in nccl.py should be replaced by a check for the USE_NCCL environment variable.
Fixes: #17274
Pull Request resolved: https://github.com/pytorch/pytorch/pull/17295
Differential Revision: D14155080
Pulled By: ezyang
fbshipit-source-id: 0d133f7c5b4d118849f041bd4d4cbbd7ffc3c7b4
Summary:
Users generally expect ./configure to find libraries
installed in /usr/local and /usr, so search for nccl
there too.
Signed-off-by: Edward Z. Yang <ezyang@fb.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12063
Differential Revision: D10036248
Pulled By: ezyang
fbshipit-source-id: d331ddd2ccc8ac9846fb54222db284b1ec371659
* Fix detection of nccl.h when libnccl.so is in /usr/lib/x86_64-linux-gnu and similar paths
* full support for independent NCCL_LIB_DIR and NCCL_INCLUDE_DIR
* lint fix
* add back CUDA_HOME
