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Adding support for gemma3 TransformerEvalWrapper #3074

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Merged
merged 1 commit into from
Sep 26, 2025
Merged

Adding support for gemma3 TransformerEvalWrapper #3074

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11 changes: 8 additions & 3 deletions torchao/_models/_eval.py
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Original file line number Diff line number Diff line change
Expand Up @@ -59,11 +59,16 @@ def _model_call(self, inps):
with torch.device(self._device):
if hasattr(self._model, "setup_caches"):
self._model.setup_caches(self.batch_size, max_seq_length)
logits = self._model(*input)
output = self._model(*input)
from transformers.modeling_outputs import CausalLMOutputWithPast
from transformers.models.gemma3.modeling_gemma3 import (
Gemma3CausalLMOutputWithPast,
)

if isinstance(logits, CausalLMOutputWithPast):
logits = logits.logits
if isinstance(output, (CausalLMOutputWithPast, Gemma3CausalLMOutputWithPast)):
logits = output.logits
else:
logits = output
return logits

def run_eval(self, tasks, limit):
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