fix: fast-dllm dream batch decoding #57
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Problem
It seems that when batch size > 1 ( see
dream_generate.py), fast-dllm Dream meets an exception:This is caused by wrong kv-cache replacing in
modeling_dream.py( LLaDA's version is correct).After Handling batched replace_position correctly, it still doesn't work, because the shape of attention mask mismatches with Q and K's shapes.
By modifying
generation_utils_block.py, now it works well.Solution
See changes in
modeling_dream.py:and changes in
generation_utils_block.py: