- 19 Dec, 2020 1 commit
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Benjamin Lefaudeux authored
[OSS] Getting rid of the "should bucket" hash table, just use a list + non trainable params fix (#259) * Getting rid of the "should bucket" hash table, just use a list Properly handle all params, with or without requires_grad * make sure that this case is unit tested
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- 10 Dec, 2020 1 commit
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Benjamin Lefaudeux authored
* unit test checking ddp and sharded_ddp equivalence, reproducing the issue that Sean spotted * fixing the issue, not counting requests in flight properly * adding a multiple optimizers case
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- 04 Dec, 2020 1 commit
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Benjamin Lefaudeux authored
* proper unit testing, but no other solution than disabling bucketing for now, couple of options tested do not work
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- 21 Nov, 2020 1 commit
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Benjamin Lefaudeux authored
* rewrite using autograd and Variable execution queue to make the reduce automatic * share buckets with OSS to remove duplication * some speed still likely on the table since the speed vs. bucketing does not match expectations, could be a follow up
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- 06 Oct, 2020 1 commit
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Benjamin Lefaudeux authored
Same bucketing strategy for OSS and SDP: sort everything ahead of time, per rank and per size, smaller tensors first. Bucket the smallest elements in a fixed buffer, send async, then send all the others async, and get back to the bucket. Once done then scatter the contents if needed
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- 29 Sep, 2020 1 commit
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Benjamin Lefaudeux authored
- adding the buffer broadcast option - minor cleanup in shardedDDP
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- 17 Sep, 2020 1 commit
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Benjamin Lefaudeux authored
- rename oss_ddp to ShardedDataParallel - some refactoring - ShardedDataParallel owns the sharded optimizer, exposed if need be - some small perf bumps
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- 28 Aug, 2020 1 commit
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Min Xu authored
- added train(mode) method to be aware of eval mode
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- 06 Aug, 2020 1 commit
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Min Xu authored
Co-authored-by:Min Xu <m1n@fb.com>
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