ColossalAI/colossalai/zero/sharded_optim/__init__.py

from .low_level_optim import LowLevelZeroOptimizer
from .sharded_optim_v2 import ShardedOptimizerV2

__all__ = ['ShardedOptimizerV2', 'LowLevelZeroOptimizer']
[zero] migrate zero1&2 (#1878) * add zero1&2 optimizer * rename test ditectory * rename test files * change tolerance in test 2022-11-11 01:26:40 +00:00			`from .low_level_optim import LowLevelZeroOptimizer`
impl shard optim v2 and add unit test 2022-03-04 03:49:02 +00:00			`from .sharded_optim_v2 import ShardedOptimizerV2`
Feature/zero (#279) * add zero1 (#209) * add zero1 * add test zero1 * update zero stage 1 develop (#212) * Implement naive zero3 (#240) * naive zero3 works well * add zero3 param manager * add TODOs in comments * add gather full param ctx * fix sub module streams * add offload * fix bugs of hook and add unit tests * fix bugs of hook and add unit tests (#252) * add gather full param ctx * fix sub module streams * add offload * fix bugs of hook and add unit tests * polish code and add state dict hook * fix bug * update unit test * refactor reconstructed zero code * clip_grad support zero3 and add unit test * add unit test for Zero3ParameterManager * [WIP] initialize the shard param class * [WIP] Yet another sharded model implementation (#274) * [WIP] initialize the shard param class * [WIP] Yes another implementation of shardModel. Using a better hook method. * torch.concat -> torch.cat * fix test_zero_level_1.py::test_zero_level_1 unitest * remove deepspeed implementation and refactor for the reconstructed zero module * polish zero dp unittests Co-authored-by: ver217 <lhx0217@gmail.com> Co-authored-by: Frank Lee <somerlee.9@gmail.com> 2022-03-01 10:17:01 +00:00
[zero] migrate zero1&2 (#1878) * add zero1&2 optimizer * rename test ditectory * rename test files * change tolerance in test 2022-11-11 01:26:40 +00:00			`__all__ = ['ShardedOptimizerV2', 'LowLevelZeroOptimizer']`