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Fix gradient checkpointing bug in gptneox #21815

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Feb 27, 2023
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7 changes: 7 additions & 0 deletions src/transformers/models/gpt_neox/modeling_gpt_neox.py
Original file line number Diff line number Diff line change
Expand Up @@ -500,6 +500,13 @@ def forward(

hidden_states = inputs_embeds

if self.gradient_checkpointing and self.training:
if use_cache:
logger.warning(
"`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`..."
)
use_cache = False

presents = () if use_cache else None
all_attentions = () if output_attentions else None
all_hidden_states = () if output_hidden_states else None
Expand Down