Use head_dim in config if exists #2622
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simon-mo
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The change is for some models which set
head_dimexplicitly instead of usinghidden_size // num_attention_heads.The wrong
head_dimread leads to the wrong size kv_cache created, which makes the PagedAttention CUDA kernel writes the new KV to unexpected GPU memory. During our case, with thehead_dimsetting wrong, the PagedAttention kernel writes values into model weights, which causes huge confusion and higher debugging cost (because the model can run without any CUDA memory error raised, and the model weights are modified unexpectedly during forward).