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fix the attn
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cfd9eda628
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@ -500,7 +500,7 @@ class RingAttention(torch.autograd.Function):
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k,
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v,
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sp_group,
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tp_group,
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tp_group : Optional[dist.ProcessGroup],
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attention_mask_type,
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cu_seqlens=None,
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max_seqlen=None,
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@ -858,12 +858,14 @@ def get_gpt2_flash_attention_forward(shard_config: Optional[ShardConfig] = None)
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sp_mode = shard_config.sequence_parallelism_mode
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sp_group = shard_config.sequence_parallel_process_group
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tp_group = shard_config.tensor_parallel_process_group
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if sp_mode == "ring_attn":
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attn_output = RingAttention.attention(
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query,
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key,
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value,
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sp_group,
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tp_group,
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**attention_mask,
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dropout_p=dropout_p,
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scale=scale,
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