This PR is greatly simplified now that it stacked on top of a PR that builds with distributed always. We only need to stub functions that may not be defined due to a backend not being enabled.
Signed-off-by: Edward Yang <ezyang@meta.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/159889
Approved by: https://github.com/wconstab
ghstack dependencies: #160449
This PR is greatly simplified now that it stacked on top of a PR that builds with distributed always. We only need to stub functions that may not be defined due to a backend not being enabled.
Signed-off-by: Edward Yang <ezyang@meta.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/159889
Approved by: https://github.com/wconstab
ghstack dependencies: #160449
This PR is greatly simplified now that it stacked on top of a PR that builds with distributed always. We only need to stub functions that may not be defined due to a backend not being enabled.
Signed-off-by: Edward Yang <ezyang@meta.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/159889
Approved by: https://github.com/wconstab
ghstack dependencies: #160449
This PR is greatly simplified now that it stacked on top of a PR that builds with distributed always. We only need to stub functions that may not be defined due to a backend not being enabled.
Signed-off-by: Edward Yang <ezyang@meta.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/159889
Approved by: https://github.com/wconstab
ghstack dependencies: #160449
This PR is greatly simplified now that it stacked on top of a PR that builds with distributed always. We only need to stub functions that may not be defined due to a backend not being enabled.
Signed-off-by: Edward Yang <ezyang@meta.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/159889
Approved by: https://github.com/wconstab
ghstack dependencies: #160449
Previously:
```
[W Utils.hpp:133] Warning: Environment variable NCCL_ASYNC_ERROR_HANDLING is deprecated; use TORCH_NCCL_ASYNC_ERROR_HANDLING instead (function getCvarInt)
[W Utils.hpp:133] Warning: Environment variable NCCL_ASYNC_ERROR_HANDLING is deprecated; use TORCH_NCCL_ASYNC_ERROR_HANDLING instead (function getCvarInt)
```
With this PR, those warnings disappear. They were introduced in #114077
This change was generated with this sed script, applied with `sed -i -f /tmp/x **/*.{py,hpp,cpp,cc}` and hand inspected.
```
s/\bNCCL_BLOCKING_WAIT\b/TORCH_NCCL_BLOCKING_WAIT/g
s/\bNCCL_ENABLE_TIMING\b/TORCH_NCCL_ENABLE_TIMING/g
s/\bNCCL_DESYNC_DEBUG\b/TORCH_NCCL_DESYNC_DEBUG/g
s/\bNCCL_ASYNC_ERROR_HANDLING\b/TORCH_NCCL_ASYNC_ERROR_HANDLING/g
s/\bENABLE_NCCL_HEALTH_CHECK\b/TORCH_ENABLE_NCCL_HEALTH_CHECK/g
s/\bNCCL_USE_TENSOR_REGISTER_ALLOCATOR_HOOK\b/TORCH_NCCL_USE_TENSOR_REGISTER_ALLOCATOR_HOOK/g
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/114880
Approved by: https://github.com/kwen2501
Previous PRs changed the c++ default timeout for PGNccl, but this path
was only hit in some cases, and the python defaults took over in other
cases.
This PR ensures that NCCL pg always default to the changed NCCL-specific
timeout value.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/113094
Approved by: https://github.com/fduwjj
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/56549
This make the `kProcessGroupDefaultTimeout` be the same as the python
side, and python side directly use the pybind value instead
Test Plan: Imported from OSS
Reviewed By: rohan-varma
Differential Revision: D27899190
Pulled By: wanchaol
fbshipit-source-id: 388a7f42358b0abed75cf4934fb7b311fd33fee6
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/46856
Add reference to NCCL_ASYNC_ERROR_HANDLING in the pytorch docs,
similar to how NCCL_BLOCKING_WAIT is curently described.
ghstack-source-id: 115186877
Test Plan: CI, verifying docs change
Reviewed By: jiayisuse
Differential Revision: D24541822
fbshipit-source-id: a0b3e843bc6392d2787a4bb270118f2dfda5f4ec
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33434
Reland of https://github.com/pytorch/pytorch/pull/33325, since the
unit test was flaky and failed on land.
To ensure that the test is not flaky, I bumped the timeout so the rendezvous
does not timeout (timing out the rendezvous in 1s led to the flakiness). I also
generalized our mechanism for retrying on errors to include retrying on errors
due to timeout in rendezvous.
ghstack-source-id: 98558377
Test Plan: Added UT test_tcp_store_timeout_set
Differential Revision: D19935390
fbshipit-source-id: 56ccf8c333dd2f954a33614d35cd1642d4e9473a
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33325
Closes https://github.com/pytorch/pytorch/issues/32924. There was a bug where for TCPStore, we would not respect the timeout passed into `init_process_group` while constructing the TCPStore. Instead, we'd set the timeout after the rendezvous created the store, meaning that we used the default timeout of 300s while connecting to the server. This diff passes the timeout passed into `init_process_group` to rendezvous so that it can be passed into the constructor for TCPStore, so that we can use the right timeout at construction time.
Question: Should we make this change for FileStore as well? Currently the FileStore constructor does not take in a timeout at all.
ghstack-source-id: 98401875
Test Plan: Added a UT
Differential Revision: D19871946
fbshipit-source-id: dd002180c4c883216645b8a97cc472c6116ac117
