- 07 Jan, 2022 1 commit
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tmarkstrum authored
* enable reduce scatter overlap with other operations * fixed unit tests and added docstrings for the new parameters for fsdp * fixed more unit tests * fixed unit tests * avoided the pickle error on process_group_reduce_scatter * removed an unnecessary parameter in unit tests * remove unnecessary prints * fixed the docstring * skipped the test_offload unit test because this unit test failed in the main branch * removed the enable_reduce_scatter_overlap API parameter * added doc string for the defualt value of process_group_reduce_scatter parameter * fixed a syntax bug * fixed a bug which cause unitest failure * removed the all_gather in the ProcessGroupName enum * added more comment * changed the default value of process_group_reduce_scatter from None to ProcessGroupName.reduce_scatter
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- 26 Jun, 2021 1 commit
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Pavel Belevich authored
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- 11 Jun, 2021 1 commit
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anj-s authored
[Offload][feature] Add auto shard functionality to remove requirement of nn.Sequential models. (#695) * auto wrap functionality * lint and doc strings * fix lint errors * lint errors and version skips * remove mypy checking and add conditional import * another math.prod instance * another import fix * address comments * lint errors * address comments * fix lint errors * add placeholder nodes to tracker list
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- 15 Apr, 2021 1 commit
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anj-s authored
[fix] Revert change that removed the option to run OffloadModel with out activation checkpointing. (#608) * revert change made * add tests and revert sync shard changes * add tests * remove file checked in by error * inine var * fix lint errors * add checkpoint activation * fix mypy * use a bigger model * modify tests for now * resolve conflicts Co-authored-by:Anjali Sridhar <anj@devfair0443.h2.fair>
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- 31 Mar, 2021 1 commit
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anj-s authored
* renaming/adding error messages * address comments * address comments * add more comments * add more comments
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- 26 Feb, 2021 1 commit
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anj-s authored
* clean start * removing per layer split strategy, probably not that useful indeed * initial transformer benchmark * hack, enable testing ViT + offload, python3 benchmarks/oss.py --epochs 2 --optim_type oss_offload_ddp --batch_size=32 --model vit_large_patch16_224 * proper cuda streams and device, something off in terms of mems consumption * minor, stashing * unit test fix * removing all the distributed parts * simpler test, needs debugging * working OOP, running a model which does not fit on the gpu memory * spring cleaning * removing the ill-advised optimizer bits, better keep that orthogonal * [offload] Add support for activation offloading + other changes (#367) * initial fwd/bwd commit * checkpoint work * modify shard loop * activation offloading and test to start with * fix lint errors * update comments * fix lint * remove unused var * remove commented out lines * modify name * remove break * remove profiler comments * avoid saving inputs * fix lint errors Co-authored-by:
Anjali Sridhar <anj@devfair0443.h2.fair> * [offload] Add support for fp16 training (#374) * initial fwd/bwd commit * checkpoint work * modify shard loop * activation offloading and test to start with * fix lint errors * update comments * fix lint * remove unused var * remove commented out lines * modify name * remove break * remove profiler comments * add support for fp16 * add unit tests * fix lint errors * fix test failure Co-authored-by:
Anjali Sridhar <anj@devfair0443.h2.fair> * [offload] Add support for activation checkpointing for all layers. (#381) * initial fwd/bwd commit * checkpoint work * modify shard loop * activation offloading and test to start with * fix lint errors * update comments * fix lint * remove unused var * remove commented out lines * modify name * remove break * remove profiler comments * add support for fp16 * add unit tests * fix lint errors * fix test failure * cp work, incorrect output dimensions still need to be fixed * fixed activation outputs * intermediate cp of work * add tests * fix lint errors Co-authored-by:
Anjali Sridhar <anj@devfair0443.h2.fair> * add support for microbatches * revert benchmark config changes * add parametrization * fix lint errors and tests * skip test for 1.5 * fix lint errors * skip test if there are no GPUs * fix lint errors * fix lint errors * move experimental to the fairscale repo * lint error fixes * modify test imports * lint error fixes * move offload files to the experimental directory * move tests and benchmarks to their forlder * fix mypy errors * cp intermediate working benchmarks * more changes * split benchmark configs * remove print statements * fix lint errors * remove unused print * stress testing * remove unused file * change param nae * lint fixes * move file to the right folder * offload_experimental * add doc string * add error message Co-authored-by:
Benjamin Lefaudeux <benjamin.lefaudeux@gmail.com> Co-authored-by:
Benjamin Lefaudeux <benjamin.lefaudeux@protonmail.com> Co-authored-by:
Anjali Sridhar <anj@devfair0443.h2.fair>
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