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Add support for RADIO models - #46425
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- Move post_init() to end of __init__ so weight init applies to submodules - Register RADIO in AutoConfig/AutoModel mappings - Add main_input_name, _no_split_modules, supports_gradient_checkpointing - Fix unreachable summary_idxs gather branch in _extract_final
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ArthurZucker
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Jun 24, 2026
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LGTM I would like RadioMLP (lower cap)
| all_summary = hidden_states[:, : self.config.num_cls_tokens] | ||
| summary = all_summary[:, self.summary_idxs].flatten(1) | ||
| features = hidden_states[:, num_skip:] | ||
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is there no loss here we can add?
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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[For maintainers] Suggested jobs to run (before merge) run-slow: auto, radio |
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CI recapDashboard: View test results in Grafana |
stevhliu
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Jul 30, 2026
* Add RADIO vision encoder * Fix RADIO integration: post_init ordering, auto registration, HF attrs - Move post_init() to end of __init__ so weight init applies to submodules - Register RADIO in AutoConfig/AutoModel mappings - Add main_input_name, _no_split_modules, supports_gradient_checkpointing - Fix unreachable summary_idxs gather branch in _extract_final * Remove uncessary files * Keep only cradio path * Rewrite radio for using native transformers module * Rename submodule from RADIO->Radio, keep RADIOModel and RADIOConfig for checkpoint compatible * Fix for consistency check * Add config to auto_docstring * Add radio tests * Fix for checkers * Modify Radio model * Modify init weight * Update radio.md date
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What does this PR do?
This PR adds support for NVIDIA RADIO models
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