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[plugin] hybrid support zero bubble pipeline (#6060)

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* hybrid support zbv

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* Update zero_bubble_pp.py

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* [zerobubble]Support ZeroBubble Pipeline (#6034)

* [feat] add zerobubble pp (just a frame now); add POC test for dx_dw; add test for zerobubble;

* [feat] add dw test;

* [fix] fix weight not close;

* [update] update text;

* [feat] add test run_fwd_bwd automatic scheduling;

* [feat] split communication and calculation; fix pop empty send_bwd_buffer error;

* [feat] add test for p & p grad;

* [feat] add comments for ZBV func;

* [fix] rm useless assign and comments;

* [fix] fix ci test; add pytest;

* [feat] add run_fwd_bwd_with_microbatch  (replace input) & test; add p&p.grad assert close test & all pass;

* [feat] add apply v_schedule graph; p & p.grad assert err exist;

* [fix] update

* [feat] fix ci; add assert;

* [feat] fix poc format

* [feat] fix func name & ci; add comments;

* [fix] fix poc test; add comments in poc;

* [feat] add optim backward_b_by_grad

* [feat] fix optimizer bwd b & w; support return accum loss & output

* [feat] add fwd_bwd_step, run_fwd_only;

* [fix] fix optim bwd; add license for v_schedule; remove redundant attributes; fix schedule loop "while"--> "for"; add communication dict;

* [fix] fix communication_map;

* [feat] update test; rm comments;

* [fix] rm zbv in hybridplugin

* [fix] fix optim bwd;

* [fix] fix optim bwd;

* [fix] rm output.data after send fwd;

* [fix] fix bwd step if condition; remove useless comments and format info;

* [fix] fix detach output & release output;

* [fix] rm requir_grad for output;

* [fix] fix requir grad position and detach position and input&output local buffer append position;

* [feat] add memory assertation;

* [fix] fix mem check;

* [fix] mem assertation'

* [fix] fix mem assertation

* [fix] fix mem; use a new model shape; only assert mem less and equal than theo;

* [fix] fix model zoo import;

* [fix] fix redundant detach & clone; add buffer assertation in the end;

* [fix] add output_obj_grad assert None at bwd b step; replace input_obj.require_grad_ with treemap;

* [fix] update optim state dict assert (include param group & state); fix mem assert after add optim;

* [fix] add testcase with microbatch 4;

* hybrid support zbv

* fix

fix

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* Update zero_bubble_pp.py

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---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: duanjunwen <935724073@qq.com>
This commit is contained in:
flybird11111
2024-09-27 14:48:55 +08:00
committed by GitHub
parent b804fdc297
commit af6aa9ed06
15 changed files with 140 additions and 53 deletions
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14
tests/test_shardformer/test_model/_utils.py
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@@ -157,7 +157,6 @@ def build_model_from_hybrid_plugin(
sharded_optimizer = sharded_optim_class(sharded_model.parameters(), lr=1e-3)
criterion = loss_fn
plugin = pluggin_cls(**test_config)
booster = Booster(plugin=plugin)
@@ -311,8 +310,16 @@ def check_output_hidden_state(
):
org_hidden_state = org_output.last_hidden_state
if stage_manager and stage_manager.is_last_stage(ignore_chunk=True):
sharded_hidden_state = sharded_output["outputs"]["last_hidden_state"]
if stage_manager:
if stage_manager.use_zbv:
if stage_manager.is_first_stage(ignore_chunk=True):
sharded_hidden_state = sharded_output["outputs"]["last_hidden_state"]
else:
sharded_hidden_state = sharded_output.last_hidden_state
elif stage_manager.is_last_stage(ignore_chunk=True):
sharded_hidden_state = sharded_output["outputs"]["last_hidden_state"]
else:
sharded_hidden_state = sharded_output.last_hidden_state
else:
sharded_hidden_state = sharded_output.last_hidden_state
@@ -390,7 +397,6 @@ def get_grad_tensors_for_check(
pass
if verbose and dist.get_rank() == 0:
print(f"'{suffix}' grad: {org_grad}, {shard_grad}")
grad_to_check[suffix] = {
"org_grad": org_grad.float(),
"shard_grad": shard_grad.float(),