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Fix gradient checkpointing bug LED (#21840)

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Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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Karim Foda 2023-03-02 15:40:35 +00:00 committed by GitHub
parent b6f47b5393
commit 7e6dd664e8
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1 changed files with 7 additions and 5 deletions
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12
src/transformers/models/led/modeling_led.py
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@ -2110,6 +2110,13 @@ class LEDDecoder(LEDPreTrainedModel):
hidden_states = nn.functional.dropout(hidden_states, p=self.dropout, training=self.training)
if self.gradient_checkpointing and self.training:
if use_cache:
logger.warning_once(
"`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`..."
)
use_cache = False
# decoder layers
all_hidden_states = () if output_hidden_states else None
all_self_attns = () if output_attentions else None
@ -2135,11 +2142,6 @@ class LEDDecoder(LEDPreTrainedModel):
past_key_value = past_key_values[idx] if past_key_values is not None else None
if self.gradient_checkpointing and self.training:
if use_cache:
logger.warning_once(
"`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`..."
)
use_cache = False
def create_custom_forward(module):
def custom_forward(*inputs):