Focalnet standardized outputs#44024
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February 16, 2026 16:36
1. Add _can_record_outputs = {"hidden_states": DecoderLayer, "attentions": Attention} on the PreTrainedModel subclass. Use class references, not strings
2. added capture_outputs to main loop
3. added can_return_tuple to higher level fnctions
4. dropped output_attentions, output_hidden_states, return_dict from
signatures unless required
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[For maintainers] Suggested jobs to run (before merge) run-slow: focalnet |
This was referenced Apr 29, 2026
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What does this PR do?
This PR refactors the FocalNet implementation to adopt the new
@capture_outputsand@can_return_tupledecorators for standardized output collection, as part of #43979.The goal is to align FocalNet with the new output capturing infrastructure and remove legacy
return_dict/output_hidden_stateshandling where possible.Changes
Integrated
FocalNetStagewith_can_record_outputshidden_states,hidden_states_before_downsampling,output_dimensions) usingOutputRecorder.Added
@capture_outputstoFocalNetModel.forwardReduced reliance on legacy output flags
return_dictandoutput_hidden_statesacross forward functions.FocalNetEncoderfor compatibility and reshaping logic.Future Improvements
OutputRecorderto support post-processing callbacks.output_hidden_statesdependency insideFocalNetEncoderand further improve modularity.Tests
Passed 75 skipped 129
Fixes # (issue)
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