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Fix arg in bettertransformer llama attention #1421

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merged 3 commits into from
Oct 3, 2023
Merged

Fix arg in bettertransformer llama attention #1421

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498c4b8
fix arg in llama attention
SunMarc Sep 28, 2023
d0f27d2
change to kwargs
SunMarc Sep 29, 2023
b67fb2a
add kwargs everwhere
younesbelkada Oct 3, 2023
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7 changes: 7 additions & 0 deletions optimum/bettertransformer/models/attention.py
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Original file line number Diff line number Diff line change
Expand Up @@ -242,6 +242,7 @@ def opt_forward(
attention_mask: Optional[torch.Tensor] = None,
layer_head_mask: Optional[torch.Tensor] = None,
output_attentions: bool = False,
**kwargs,
) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]:
raise_on_head_mask(layer_head_mask)

Expand Down Expand Up @@ -336,6 +337,7 @@ def t5_forward(
query_length=None,
use_cache=False,
output_attentions=False,
**kwargs,
):
raise_on_head_mask(layer_head_mask)

Expand Down Expand Up @@ -466,6 +468,7 @@ def bart_forward(
attention_mask: Optional[torch.Tensor] = None,
layer_head_mask: Optional[torch.Tensor] = None,
output_attentions: bool = False,
**kwargs,
) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]:
"""Input shape: Batch x Time x Channel"""
raise_on_head_mask(layer_head_mask)
Expand Down Expand Up @@ -583,6 +586,7 @@ def llama_forward(
past_key_value: Optional[Tuple[torch.Tensor]] = None,
output_attentions: bool = False,
use_cache: bool = False,
**kwargs,
) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]:
if output_attentions is True:
raise ValueError("output_attentions=True can not be supported with BetterTransformer.")
Expand Down Expand Up @@ -768,6 +772,7 @@ def gpt_bigcode_forward(
encoder_attention_mask: Optional[torch.Tensor] = None,
use_cache: Optional[bool] = False,
output_attentions: Optional[bool] = False,
**kwargs,
) -> Tuple[torch.Tensor, Optional[torch.Tensor]]:
if output_attentions is True:
raise ValueError("output_attentions=True can not be supported with BetterTransformer.")
Expand Down Expand Up @@ -826,6 +831,7 @@ def bloom_forward(
head_mask: Optional[torch.Tensor] = None,
use_cache: bool = False,
output_attentions: bool = False,
**kwargs,
):
raise_on_head_mask(head_mask)

Expand Down Expand Up @@ -910,6 +916,7 @@ def falcon_forward(
head_mask: Optional[torch.Tensor] = None,
use_cache: bool = False,
output_attentions: bool = False,
**kwargs,
):
fused_qkv = self.query_key_value(hidden_states) # [batch_size, seq_length, 3 x hidden_size]
num_kv_heads = self.num_heads if self.new_decoder_architecture else self.num_kv_heads
Expand Down
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