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Training deadlock #19

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rotabulo opened this issue Jun 26, 2018 · 1 comment
Closed

Training deadlock #19

rotabulo opened this issue Jun 26, 2018 · 1 comment

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@rotabulo
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There is an issue in the implementation of DistributedDataParallel that triggers a deadlock of processes.
Specifically, in the method flat_dist_call, there is a for loop over a dictionary with calls to collective operations (like broadcasting) in the body. Since the ordering of the dictionary's keys is random, we obtain non-matching calls to the collective operations, which induce a deadlock of the processes.
I have fixed this issue and created a pull request.
@csarofeen
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Closed via #18

@Solacex Solacex mentioned this issue Jan 13, 2019
Open
@chengmengli06 chengmengli06 mentioned this issue Nov 12, 2019
Open
@matlabninja matlabninja mentioned this issue May 20, 2020
Closed
lcskrishna pushed a commit to lcskrishna/apex that referenced this issue Jun 5, 2020
@rohithkrn
bfloat16 support for mgpu (NVIDIA#19)
b0c7d09 
* bfloat16 support for apex DDP

* enable mgpu tests for fp16 and bf16

* update Dockerfile
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@csarofeen @rotabulo