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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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20
colossalai/shardformer/modeling/bloom.py
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@@ -221,7 +221,10 @@ class BloomPipelineForwards:
if shard_config and shard_config.enable_sequence_parallelism:
if shard_config.sequence_parallelism_mode == "split_gather":
hidden_states = split_forward_gather_backward(
hidden_states, dim=1, process_group=shard_config.tensor_parallel_process_group
hidden_states,
dim=1,
process_group=shard_config.tensor_parallel_process_group,
fp8_communication=shard_config.fp8_communication,
)
start_idx, end_idx = stage_index[0], stage_index[1]
@@ -264,7 +267,10 @@ class BloomPipelineForwards:
if shard_config and shard_config.enable_sequence_parallelism:
if shard_config.sequence_parallelism_mode == "split_gather":
hidden_states = gather_forward_split_backward(
hidden_states, dim=1, process_group=shard_config.tensor_parallel_process_group
hidden_states,
dim=1,
process_group=shard_config.tensor_parallel_process_group,
fp8_communication=shard_config.fp8_communication,
)
if stage_manager.is_last_stage():
@@ -922,7 +928,10 @@ def get_bloom_sequence_parallel_forward_fn(shard_config: ShardConfig):
# split the input tensor along sequence dimension
# [batch_size, seq_len, hidden_size] -> [batch_size, seq_len/TP_size, hidden_size]
hidden_states = split_forward_gather_backward(
hidden_states, dim=1, process_group=shard_config.tensor_parallel_process_group
hidden_states,
dim=1,
process_group=shard_config.tensor_parallel_process_group,
fp8_communication=shard_config.fp8_communication,
)
for i, (block, layer_past) in enumerate(zip(self.h, past_key_values)):
@@ -960,7 +969,10 @@ def get_bloom_sequence_parallel_forward_fn(shard_config: ShardConfig):
# When sequence parallelism done, gather the output tensor in forward and split it in backward
hidden_states = gather_forward_split_backward(
hidden_states, dim=1, process_group=shard_config.tensor_parallel_process_group
hidden_states,
dim=1,
process_group=shard_config.tensor_parallel_process_group,
fp8_communication=shard_config.fp8_communication,
)
# Add last hidden state
hidden_states = self.ln_f(hidden_states)