[c10d] Fix color value for comm split being negative #137855

kwen2501 · 2024-10-13T07:07:58Z

Stack from ghstack (oldest at bottom):

Issue 1

Today under ProcessGroupNCCL::Options, color is declared as:

    int64_t split_color{0};

When passing this variable to ncclCommSplit which accepts int, the value may overflow and become negative, as in #137856. But NCCL API only accepts non-negative colors (or NCCL_SPLIT_NOCOLOR).

But that's not all.

Issue 2

split_color is pybind'ed to python frontend. If we just change from int64_t to int in C++, pybind will complain:

[rank0]: TypeError: (): incompatible function arguments. The following argument types are supported:
[rank0]:     1. (self: torch._C._distributed_c10d.ProcessGroupNCCL.Options, arg0: int) -> None

This is because python int represents a wider range than C++ int. So we cannot pass hash values -- which are potentially big ints -- from python to C++. The PR modulo the hash value with c_int's max value.

cc @XilunWu @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o

[ghstack-poisoned]

pytorch-bot · 2024-10-13T07:08:02Z

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Please commit the suggested changes from pytorch's linter.

torch/distributed/distributed_c10d.py

Fixes #137856. ### Issue 1 Today under `ProcessGroupNCCL::Options`, color is declared as: ``` int64_t split_color{0}; ``` When passing this variable to `ncclCommSplit` which accepts `int`, the value may overflow and become negative, as in #137856. But that's not all. ### Issue 2 `split_color` is pybind'ed to python frontend. If we just change from `int64_t` to `int` in C++, pybind will complain: ``` [rank0]: TypeError: (): incompatible function arguments. The following argument types are supported: [rank0]: 1. (self: torch._C._distributed_c10d.ProcessGroupNCCL.Options, arg0: int) -> None ``` This is because python `int` represents a wider range than C++ `int`. So we cannot pass hash values -- which are potentially big ints -- from python to C++. The PR modulo the hash value with world_size to fix this issue (because color does not need a bigger "entropy" than world_size). cc XilunWu H-Huang awgu wanchaol fegin fduwjj wz337 wconstab d4l3k c-p-i-o [ghstack-poisoned]

Fixed

Fixes #137856. ### Issue 1 Today under `ProcessGroupNCCL::Options`, color is declared as: ``` int64_t split_color{0}; ``` When passing this variable to `ncclCommSplit` which accepts `int`, the value may overflow and become negative, as in #137856. But that's not all. ### Issue 2 `split_color` is pybind'ed to python frontend. If we just change from `int64_t` to `int` in C++, pybind will complain: ``` [rank0]: TypeError: (): incompatible function arguments. The following argument types are supported: [rank0]: 1. (self: torch._C._distributed_c10d.ProcessGroupNCCL.Options, arg0: int) -> None ``` This is because python `int` represents a wider range than C++ `int`. So we cannot pass hash values -- which are potentially big ints -- from python to C++. The PR modulo the hash value with world_size to get the color value (because color does not need a bigger "entropy" than world_size). cc XilunWu H-Huang awgu wanchaol fegin fduwjj wz337 wconstab d4l3k c-p-i-o [ghstack-poisoned]

@Aidyn-A

Some UCC tests became unstable recently, with or without the M60 to T4 upgrade. See for example: #137855 (without upgrade), #137161 (with upgrade). So I am extracting the disablement from #137161 here. Failure signature: ``` RuntimeError: [/var/lib/jenkins/workspace/torch/csrc/distributed/c10d/ProcessGroupUCC.cpp:496] [Rank 0][ProcessGroupUCC-0][READY]failed to post triggered collective, error code -6: Unhandled error, system error code 0 ``` Earlier discussed here: https://github.com/pytorch/pytorch/pull/137161/files#r1797353294 Cc: @Aidyn-A @eqy Pull Request resolved: #137932 Approved by: https://github.com/fduwjj, https://github.com/malfet, https://github.com/eqy

Fixes #137856. ### Issue 1 Today under `ProcessGroupNCCL::Options`, color is declared as: ``` int64_t split_color{0}; ``` When passing this variable to `ncclCommSplit` which accepts `int`, the value may overflow and become negative, as in #137856. But that's not all. ### Issue 2 `split_color` is pybind'ed to python frontend. If we just change from `int64_t` to `int` in C++, pybind will complain: ``` [rank0]: TypeError: (): incompatible function arguments. The following argument types are supported: [rank0]: 1. (self: torch._C._distributed_c10d.ProcessGroupNCCL.Options, arg0: int) -> None ``` This is because python `int` represents a wider range than C++ `int`. So we cannot pass hash values -- which are potentially big ints -- from python to C++. The PR modulo the hash value with world_size to get the color value (because color does not need a bigger "entropy" than world_size). cc XilunWu H-Huang awgu wanchaol fegin fduwjj wz337 wconstab d4l3k c-p-i-o [ghstack-poisoned]

wconstab · 2024-10-15T23:55:21Z

torch/csrc/distributed/c10d/NCCLUtils.cpp

+    // comm ptr is valid. Therefore we add a manual wait here for safety.
+    // TODO: remove this wait after NCCL fix the semantics.
+    while (!comm->ncclComm_) {
+      C10D_SCHED_SLEEP();


hm, possible infinite sleep?

Good call. Can I defer a jail break to the PR on top where we have a definite timeout value?
Today the default value is -1, which means no timeout.
I agree the deferral is not nice, but there is quite some work to pull part of the top PR down here.

Addressed in #138374

wconstab · 2024-10-15T23:56:21Z

torch/csrc/distributed/c10d/ProcessGroupNCCL.hpp

+    // * NCCL_SPLIT_NOCOLOR (-1): not in group;
+    // * NCCL_SPLIT_NOCOLOR - 1: uninitialized.
+    // [Note 1]: the type must be `int` instead of `int64_t` because NCCL API
+    // accepts int. Otherwise, an imlicit conversion may happen at the API call


typo implicit

Will fix in later PR.

Addressed in #138374

wconstab · 2024-10-16T00:03:04Z

torch/distributed/distributed_c10d.py

    else:
        pg_name = str(_world.group_count)
        _world.group_count += 1
+    # TODO: why is group count incremented only in the else path?


also where is _world.pg_names updated? It doesn't look like it gets updated when we create a new name here, but you seem to rely on its length as a proxy for 'group_count'

It is updated here:

pytorch/torch/distributed/distributed_c10d.py

Line 1978 in 47e4045

_world.pg_names[pg] = group_name

Fixes #137856. ### Issue 1 Today under `ProcessGroupNCCL::Options`, color is declared as: ``` int64_t split_color{0}; ``` When passing this variable to `ncclCommSplit` which accepts `int`, the value may overflow and become negative, as in #137856. But NCCL API only accepts non-negative colors (or `NCCL_SPLIT_NOCOLOR`). But that's not all. ### Issue 2 `split_color` is pybind'ed to python frontend. If we just change from `int64_t` to `int` in C++, pybind will complain: ``` [rank0]: TypeError: (): incompatible function arguments. The following argument types are supported: [rank0]: 1. (self: torch._C._distributed_c10d.ProcessGroupNCCL.Options, arg0: int) -> None ``` This is because python `int` represents a wider range than C++ `int`. So we cannot pass hash values -- which are potentially big ints -- from python to C++. The PR modulo the hash value with `c_int`'s max value. cc XilunWu H-Huang awgu wanchaol fegin fduwjj wz337 wconstab d4l3k c-p-i-o [ghstack-poisoned]

wconstab

thanks for adding the timeout. I think the timeout is too long but i am not sure what value is ok.

kwen2501 · 2024-10-18T23:33:45Z

@pytorchbot merge

kwen2501 · 2024-10-19T01:50:50Z

@pytorchbot merge -i "The failures does not seem related"

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kwen2501 · 2024-10-19T01:52:26Z

@pytorchbot merge -i

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Forward fix for build issue introduced by #137855: ``` In file included from fbcode/caffe2/torch/csrc/distributed/c10d/NCCLUtils.cpp:2: fbcode/caffe2/torch/csrc/distributed/c10d/ProcessGroupNCCL.hpp:508:21: error: use of undeclared identifier 'NCCL_SPLIT_NOCOLOR' 508 | int split_color{NCCL_SPLIT_NOCOLOR - 1}; | ^ ``` Pull Request resolved: #138488 Approved by: https://github.com/fduwjj ghstack dependencies: #137855

wdvr · 2024-10-22T00:20:45Z

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wdvr · 2024-10-22T00:21:24Z

@pytorchmergebot revert -m 'reverting since this is failing internal tests, maybe a NCCL version mismatch between oss and fbcode?' -c nosignal

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@pytorchmergebot revert -m 'reverting since this is failing internal tests, maybe a NCCL version mismatch between oss and fbcode?' -c nosignal

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Reverting PR 137855 failed

Reason: Command git -C /home/runner/work/pytorch/pytorch revert --no-edit fecd370ea1e9dce838bf2db3441146c543f1b2b6 returned non-zero exit code 1

Auto-merging torch/csrc/distributed/c10d/NCCLUtils.cpp
Auto-merging torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp
Auto-merging torch/csrc/distributed/c10d/ProcessGroupNCCL.hpp
CONFLICT (content): Merge conflict in torch/csrc/distributed/c10d/ProcessGroupNCCL.hpp
Auto-merging torch/distributed/distributed_c10d.py
error: could not revert fecd370ea1... [c10d] Fix color value for comm split being negative (#137855)
hint: After resolving the conflicts, mark them with
hint: "git add/rm <pathspec>", then run
hint: "git revert --continue".
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wdvr · 2024-10-22T00:26:46Z

ignore above, forward fix added in #138488

- Added default value for `nccl_nonblocking_timeout` (30 mins, previous: -1). - Reuse C10D_CHECK_TIMEOUT in other CHECK macros Pull Request resolved: #138374 Approved by: https://github.com/eqy ghstack dependencies: #137855, #138488

Previously we only wait for comm to become ready after its initialization. That's not enough. There are other NCCL APIs that can cause the comm to be InProgress, e.g. P2P calls, commSplit, commFinalize, etc. Therefore, we just ensure comm is ready every "next time" we need to access ncclComm. The place to add such gate keeper is `getNcclComm`. Pull Request resolved: #138384 Approved by: https://github.com/shuqiangzhang, https://github.com/fduwjj ghstack dependencies: #137855, #138488, #138374

### Why use non-blocking mode in eager init? For overlapping comm init and model init, etc. ![image](https://github.com/user-attachments/assets/9b0bf7a9-be26-4d16-827b-dbe861f083cd) ### Why can we set non-blocking as default? If the setting is dangling -- i.e. not passed in by user nor set via env -- `ProcessGroupNCCL` can have some preferred logic. And torch-level API semantics does not change whether the NCCL comm is blocking or non-blocking (handled within `ProcessGroupNCCL`). ### Why not make non-blocking default for lazy mode as well? PR #137544 tried it. Two reasons why that's not preferred today: 1. It is hard -- too big a blast. 2. There is no gain by doing lazy init in non-blocking mode, because the right next CPU call is a collective, and we will block there waiting for comm to be ready, so same effect as blocked init, no "opening" compared to eager mode. Pull Request resolved: #138527 Approved by: https://github.com/wconstab ghstack dependencies: #137855, #138488, #138374, #138384

Forward fix for build issue introduced by #137855: ``` In file included from fbcode/caffe2/torch/csrc/distributed/c10d/NCCLUtils.cpp:2: fbcode/caffe2/torch/csrc/distributed/c10d/ProcessGroupNCCL.hpp:508:21: error: use of undeclared identifier 'NCCL_SPLIT_NOCOLOR' 508 | int split_color{NCCL_SPLIT_NOCOLOR - 1}; | ^ ``` Pull Request resolved: #138488 Approved by: https://github.com/fduwjj ghstack dependencies: #137855

- Added default value for `nccl_nonblocking_timeout` (30 mins, previous: -1). - Reuse C10D_CHECK_TIMEOUT in other CHECK macros Pull Request resolved: #138374 Approved by: https://github.com/eqy ghstack dependencies: #137855, #138488

Previously we only wait for comm to become ready after its initialization. That's not enough. There are other NCCL APIs that can cause the comm to be InProgress, e.g. P2P calls, commSplit, commFinalize, etc. Therefore, we just ensure comm is ready every "next time" we need to access ncclComm. The place to add such gate keeper is `getNcclComm`. Pull Request resolved: #138384 Approved by: https://github.com/shuqiangzhang, https://github.com/fduwjj ghstack dependencies: #137855, #138488, #138374

### Why use non-blocking mode in eager init? For overlapping comm init and model init, etc. ![image](https://github.com/user-attachments/assets/9b0bf7a9-be26-4d16-827b-dbe861f083cd) ### Why can we set non-blocking as default? If the setting is dangling -- i.e. not passed in by user nor set via env -- `ProcessGroupNCCL` can have some preferred logic. And torch-level API semantics does not change whether the NCCL comm is blocking or non-blocking (handled within `ProcessGroupNCCL`). ### Why not make non-blocking default for lazy mode as well? PR #137544 tried it. Two reasons why that's not preferred today: 1. It is hard -- too big a blast. 2. There is no gain by doing lazy init in non-blocking mode, because the right next CPU call is a collective, and we will block there waiting for comm to be ready, so same effect as blocked init, no "opening" compared to eager mode. Pull Request resolved: #138527 Approved by: https://github.com/wconstab ghstack dependencies: #137855, #138488, #138374, #138384

[c10d] Fix color value for comm split

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kwen2501 mentioned this pull request Oct 13, 2024

[PGNCCL] Fix bugs in non-blocking mode #137741

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[PGNCCL] Enable non-blocking API mode by default #137544

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segfault when using DTensor with nonblocking nccl comm #137392

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[CI][Distributed] Not to test distributed_test.py with UCC #137932

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kwen2501 changed the title ~~[c10d] Fix color value for comm split~~ [c10d] Fix color value for comm split being negative Oct 16, 2024

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[PGNCCL] Add default value for nccl_nonblocking_timeout #138374

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[PGNCCL] Ensure comm is ready before all accesses #138384

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[Forward Fix][PGNCCL] Add define guard for NCCL_SPLIT_NOCOLOR #138488

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[PGNCCL] Use non-blocking mode by default in eager init #138527

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[Distributed] Add more tests to use eager init #138644

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[PGNCCL] Fix P2P data corruption in non-blocking mode #138860

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[c10d] Fix color value for comm split being negative #137855

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