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Add inputs_embeds functionality when generating with GPT-Neox #22916

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merged 2 commits into from
Apr 21, 2023
Merged

Add inputs_embeds functionality when generating with GPT-Neox #22916

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9afe500
support gpt neox generate with inputs embeds
vlf-silkie Apr 21, 2023
caa89f1
Update src/transformers/models/gpt_neox/modeling_gpt_neox.py
TobiasLee Apr 21, 2023
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24 changes: 17 additions & 7 deletions src/transformers/models/gpt_neox/modeling_gpt_neox.py
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Original file line number Diff line number Diff line change
Expand Up @@ -697,7 +697,9 @@ def forward(
attentions=outputs.attentions,
)

def prepare_inputs_for_generation(self, input_ids, past_key_values=None, attention_mask=None, **kwargs):
def prepare_inputs_for_generation(
self, input_ids, past_key_values=None, attention_mask=None, inputs_embeds=None, **kwargs
):
input_shape = input_ids.shape

# cut decoder_input_ids if past is used
Expand All @@ -716,12 +718,20 @@ def prepare_inputs_for_generation(self, input_ids, past_key_values=None, attenti
if attention_mask is None:
attention_mask = input_ids.new_ones(input_shape)

return {
"input_ids": input_ids,
"attention_mask": attention_mask,
"position_ids": position_ids,
"past_key_values": past_key_values,
}
if inputs_embeds is not None and past_key_values is None:
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model_inputs = {"inputs_embeds": inputs_embeds}
else:
model_inputs = {"input_ids": input_ids}

model_inputs.update(
{
"attention_mask": attention_mask,
"past_key_values": past_key_values,
"position_ids": position_ids,
}
)

return model_inputs

def _reorder_cache(self, past_key_values, beam_idx):
reordered_past = ()
Expand Down