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DS-Chat BLOOM: Fix Attention mask #4338

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Sep 14, 2023
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DS-Chat BLOOM: Fix Attention mask #4338

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5 changes: 5 additions & 0 deletions deepspeed/ops/transformer/inference/ds_attention.py
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Original file line number Diff line number Diff line change
Expand Up @@ -247,6 +247,11 @@ def compute_attention(self, qkv_out, input_mask, layer_past, alibi):

offset = dist.get_rank() * self.num_attention_heads_per_partition if dist.is_initialized() else 0
target_dtype = torch.float16 if self.config.dtype == torch.int8 else self.config.dtype

# When using the hybrid engine with BLOOM, input_mask needs to be converted from torch.bool -> torch.int64
if input_mask.dtype == torch.bool:
input_mask = input_mask.long()

attention_probs = self.softmax_func(attn_scores=attention_scores,
attn_mask=((1 - input_mask).to(target_dtype) * minus_inf),
alibi=alibi,
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