Refactor GPT-Neo to use @capture_outputs and @can_return_tuple decorators#44068
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mtthw13 wants to merge 2 commits intohuggingface:mainfrom
Open
Refactor GPT-Neo to use @capture_outputs and @can_return_tuple decorators#44068mtthw13 wants to merge 2 commits intohuggingface:mainfrom
@capture_outputs and @can_return_tuple decorators#44068mtthw13 wants to merge 2 commits intohuggingface:mainfrom
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Fixes #43979. |
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[For maintainers] Suggested jobs to run (before merge) run-slow: gpt_neo |
This was referenced Apr 23, 2026
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Replaces manual
output_attentions/output_hidden_states/return_dictboilerplate in GPT-Neo with the hook-based decorator system.Changes:
_can_record_outputs = {"hidden_states": GPTNeoBlock, "attentions": GPTNeoAttention}onGPTNeoPreTrainedModel@capture_outputs+@merge_with_config_defaultsonGPTNeoModel.forward@can_return_tupleonGPTNeoForCausalLM,GPTNeoForSequenceClassification,GPTNeoForTokenClassification,GPTNeoForQuestionAnsweringoutput_attentions,output_hidden_states,return_dictfrom all forward signaturesGPTNeoBlocknow returnshidden_statesdirectly (not a tuple)(attn_output, attn_weights)BaseModelOutputWithPastAndCrossAttentions,CausalLMOutputWithCrossAttentionsoutput_attentions=Truefrom directGPTNeoSelfAttentioncall intest_local_attn_probsTests: All 111 GPT-Neo model tests pass.