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[example]add gpt2 benchmark example script. (#5295)

Browse Source 
* benchmark gpt2

* fix

fix

fix

fix

* [doc] fix typo in Colossal-LLaMA-2/README.md (#5247)

* [workflow] fixed build CI (#5240)

* [workflow] fixed build CI

* polish

* polish

* polish

* polish

* polish

* [ci] fixed booster test (#5251)

* [ci] fixed booster test

* [ci] fixed booster test

* [ci] fixed booster test

* [ci] fixed ddp test (#5254)

* [ci] fixed ddp test

* polish

* fix typo in  applications/ColossalEval/README.md (#5250)

* [ci] fix shardformer tests. (#5255)

* fix ci

fix

* revert: revert p2p

* feat: add enable_metadata_cache option

* revert: enable t5 tests

---------

Co-authored-by: Wenhao Chen <cwher@outlook.com>

* [doc] fix doc typo (#5256)

* [doc] fix annotation display

* [doc] fix llama2 doc

* [hotfix]: add pp sanity check and fix mbs arg (#5268)

* fix: fix misleading mbs arg

* feat: add pp sanity check

* fix: fix 1f1b sanity check

* [workflow] fixed incomplete bash command (#5272)

* [workflow] fixed oom tests (#5275)

* [workflow] fixed oom tests

* polish

* polish

* polish

* [ci] fix test_hybrid_parallel_plugin_checkpoint_io.py (#5276)

* fix ci

fix

* fix test

* revert: revert p2p

* feat: add enable_metadata_cache option

* revert: enable t5 tests

* fix

---------

Co-authored-by: Wenhao Chen <cwher@outlook.com>

* [shardformer] hybridparallelplugin support gradients accumulation. (#5246)

* support gradients acc

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix

fix

* fix

fix

* fix

fix

fix

* [hotfix] Fix ShardFormer test execution path when using sequence parallelism (#5230)

* fix auto loading gpt2 tokenizer (#5279)

* [doc] add llama2-13B disyplay (#5285)

* Update README.md

* fix 13b typo

---------

Co-authored-by: binmakeswell <binmakeswell@gmail.com>

* fix llama pretrain (#5287)

* fix

* fix

* fix

fix

* fix

fix

fix

* fix

fix

* benchmark gpt2

* fix

fix

fix

fix

* [workflow] fixed build CI (#5240)

* [workflow] fixed build CI

* polish

* polish

* polish

* polish

* polish

* [ci] fixed booster test (#5251)

* [ci] fixed booster test

* [ci] fixed booster test

* [ci] fixed booster test

* fix

fix

* fix

fix

fix

* fix

* fix

fix

fix

fix

fix

* fix

* Update shardformer.py

---------

Co-authored-by: digger yu <digger-yu@outlook.com>
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: Wenhao Chen <cwher@outlook.com>
Co-authored-by: binmakeswell <binmakeswell@gmail.com>
Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>
Co-authored-by: Michelle <97082656+MichelleMa8@users.noreply.github.com>
Co-authored-by: Desperado-Jia <502205863@qq.com>
This commit is contained in:
flybird11111
2024-03-04 16:18:13 +08:00
committed by GitHub
parent 4b8312c08e
commit 29695cf70c
22 changed files with 421 additions and 48 deletions
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3
colossalai/booster/plugin/hybrid_parallel_plugin.py
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@@ -36,6 +36,8 @@ from .pp_plugin_base import PipelinePluginBase
DP_AXIS, PP_AXIS, TP_AXIS = 0, 1, 2
PRECISION_TORCH_TYPE = {"fp16": torch.float16, "fp32": torch.float32, "bf16": torch.bfloat16}
def _convert_floating_point(x, dtype: torch.dtype = torch.float16):
if isinstance(x, torch.Tensor) and torch.is_floating_point(x):
@@ -1059,6 +1061,7 @@ class HybridParallelPlugin(PipelinePluginBase):
overlap_communication=overlap_communication,
cpu_offload=cpu_offload,
partition_grad=(self.zero_stage == 2),
forced_dtype=PRECISION_TORCH_TYPE[precision],
)
self.max_norm = max_norm