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[shardformer/sequence parallel] Cherry pick commit to new branch (#4450)

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* [shardformer/sequence parallel] Support sequence parallel for gpt2 (#4384)

* [sequence parallel] add sequence parallel linear col/row support (#4336)

* add sequence parallel linear col/row support

* add annotation

* add annotation

* add support for gpt2 fused qkv linear layer

* support sequence parallel in GPT2

* add docstring and note

* add requirments

* remove unused flash-attb

* modify flash attn test

* modify flash attn setting

* modify flash attn code

* add assert before divide, rename forward function

* [shardformer/test] fix gpt2 test with seq-parallel

* [shardformer/sequence parallel] Overlap input gather and grad computation during col backward (#4401)

* overlap gather input / grad computing during col backward

* modify test for overlap

* simplify code

* fix code and modify cuda stream synchronize

* [shardformer/sequence parallel] polish code
This commit is contained in:
Bin Jia
2023-08-16 15:41:20 +08:00
committed by GitHub
parent d20dceb9a3
commit 424629fea0
12 changed files with 655 additions and 65 deletions
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9
colossalai/shardformer/policies/gpt2.py
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@@ -7,6 +7,7 @@ import colossalai.shardformer.layer as col_nn
from .._utils import getattr_, setattr_
from ..modeling.gpt2 import GPT2PipelineForwards, get_gpt2_flash_attention_forward
from ..modeling.gpt2_seq import gpt2_sequence_parallel_forward_fn
from .base_policy import ModulePolicyDescription, Policy, SubModuleReplacementDescription
__all__ = [
@@ -49,6 +50,9 @@ class GPT2Policy(Policy):
target_module=col_nn.DropoutForParallelInput,
),
])
if self.shard_config.enable_sequence_parallelism:
policy[GPT2Model].method_replacement = {"forward": gpt2_sequence_parallel_forward_fn(self.shard_config)}
policy[GPT2Block] = ModulePolicyDescription(attribute_replacement={
"attn.embed_dim": self.model.config.hidden_size // self.shard_config.tensor_parallel_size,
"attn.split_size": self.model.config.hidden_size // self.shard_config.tensor_parallel_size,
@@ -120,6 +124,11 @@ class GPT2Policy(Policy):
policy[GPT2Attention] = ModulePolicyDescription(method_replacement={
'forward': get_gpt2_flash_attention_forward(),
})
if self.shard_config.enable_sequence_parallelism:
suffix_list = ["attn.c_attn", "attn.c_proj", "mlp.c_fc", "mlp.c_proj"]
self.append_seq_parallel_to_policy(suffix_list=suffix_list, module_policy_description=policy[GPT2Block])
return policy
def postprocess(self):