fix: resolve dropout type error in DogeDecoder#40022
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wubingheng111 wants to merge 2 commits intohuggingface:mainfrom
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fix: resolve dropout type error in DogeDecoder#40022wubingheng111 wants to merge 2 commits intohuggingface:mainfrom
wubingheng111 wants to merge 2 commits intohuggingface:mainfrom
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Fixed TypeError where dropout() received tuple instead of Tensor in DogeDecoderLayer when using MoE configuration. The MLP forward method returns a tuple (hidden_states, router_logits) for MoE layers, but the subsequent dropout operation expected only a Tensor. - Extract hidden_states from tuple before dropout when using MoE - Ensure consistent tensor handling in both MLP and MoE configurations Fixes issue where model.generate() failed with: TypeError: dropout(): argument 'input' (position 1) must be Tensor, not tuple
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Thanks! Let's push this a little bit: it's weird that no tests caught this! Can you make sure this is tested in tests/models/doge/test_modeling_doge.py ?
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Fix: #40079
Fixed TypeError where dropout() received tuple instead of Tensor in DogeDecoderLayer when using MoE configuration. The MLP forward method returns a tuple (hidden_states, router_logits) for MoE layers, but the subsequent dropout operation expected only a Tensor.
Fixes issue where model.generate() failed with:
TypeError: dropout(): argument 'input' (position 1) must be Tensor, not tuple
@ArthurZucker @gante @LoserCheems