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[fp8] support hybrid parallel plugin (#5982)

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* support fp8 comm for qwen2 model

* support fp8 comm for qwen2 model

* support fp8 comm for qwen2 model

* fp8

* fix

* bert and bloom

* chatglm and command

* gpt2,gptj,bert, falcon,blip2

* mistral,opy,sam,t5,vit,whisper

* fix

* fix

* fix
This commit is contained in:
Wang Binluo
2024-08-12 18:17:05 +08:00
committed by GitHub
parent f1a3a326c4
commit b2483c8e31
27 changed files with 633 additions and 83 deletions
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40
colossalai/shardformer/policies/bloom.py
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@@ -76,12 +76,19 @@ class BloomPolicy(Policy):
SubModuleReplacementDescription(
suffix="self_attention.query_key_value",
target_module=col_nn.Linear1D_Col,
kwargs={"seq_parallel_mode": sp_mode, "overlap": overlap},
kwargs={
"seq_parallel_mode": sp_mode,
"overlap": overlap,
"fp8_communication": self.shard_config.fp8_communication,
},
),
SubModuleReplacementDescription(
suffix="self_attention.dense",
target_module=col_nn.Linear1D_Row,
kwargs={"seq_parallel_mode": sp_mode},
kwargs={
"seq_parallel_mode": sp_mode,
"fp8_communication": self.shard_config.fp8_communication,
},
),
SubModuleReplacementDescription(
suffix="self_attention.attention_dropout",
@@ -90,12 +97,19 @@ class BloomPolicy(Policy):
SubModuleReplacementDescription(
suffix="mlp.dense_h_to_4h",
target_module=col_nn.Linear1D_Col,
kwargs={"seq_parallel_mode": sp_mode, "overlap": overlap},
kwargs={
"seq_parallel_mode": sp_mode,
"overlap": overlap,
"fp8_communication": self.shard_config.fp8_communication,
},
),
SubModuleReplacementDescription(
suffix="mlp.dense_4h_to_h",
target_module=col_nn.Linear1D_Row,
kwargs={"seq_parallel_mode": sp_mode},
kwargs={
"seq_parallel_mode": sp_mode,
"fp8_communication": self.shard_config.fp8_communication,
},
),
],
)
@@ -115,7 +129,14 @@ class BloomPolicy(Policy):
SubModuleReplacementDescription(
suffix="word_embeddings",
target_module=embedding_cls,
kwargs={"make_vocab_size_divisible_by": self.shard_config.make_vocab_size_divisible_by},
kwargs=(
{
"make_vocab_size_divisible_by": self.shard_config.make_vocab_size_divisible_by,
"fp8_communication": self.shard_config.fp8_communication,
}
if self.shard_config.enable_tensor_parallelism
else {"make_vocab_size_divisible_by": self.shard_config.make_vocab_size_divisible_by}
),
),
],
policy=policy,
@@ -279,6 +300,7 @@ class BloomForCausalLMPolicy(BloomPolicy):
kwargs=dict(
gather_output=not self.shard_config.parallel_output,
make_vocab_size_divisible_by=self.shard_config.make_vocab_size_divisible_by,
fp8_communication=self.shard_config.fp8_communication,
),
),
policy=policy,
@@ -337,7 +359,9 @@ class BloomForSequenceClassificationPolicy(BloomPolicy):
if self.shard_config.enable_tensor_parallelism:
self.append_or_create_submodule_replacement(
description=SubModuleReplacementDescription(
suffix="score", target_module=col_nn.Linear1D_Col, kwargs=dict(gather_output=True)
suffix="score",
target_module=col_nn.Linear1D_Col,
kwargs=dict(gather_output=True, fp8_communication=self.shard_config.fp8_communication),
),
policy=policy,
target_key=BloomForSequenceClassification,
@@ -374,7 +398,9 @@ class BloomForTokenClassificationPolicy(BloomPolicy):
self.append_or_create_submodule_replacement(
description=[
SubModuleReplacementDescription(
suffix="classifier", target_module=col_nn.Linear1D_Col, kwargs=dict(gather_output=True)
suffix="classifier",
target_module=col_nn.Linear1D_Col,
kwargs=dict(gather_output=True, fp8_communication=self.shard_config.fp8_communication),
),
SubModuleReplacementDescription(
suffix="dropout",