fix: detach k, v in SelfAttention to prevent gradient accumulation - #221
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Return detached key and value tensors to avoid unintended gradient tracking during backpropagation.
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Pull request overview
This PR updates the transformer self-attention KV-cache behavior to avoid unintentionally retaining autograd history when reusing cached keys/values across decoding/generation steps.
Changes:
- Detach
kandvtensors before returning them as the KV cache fromSelfAttention.forward().
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Return detached key and value tensors to avoid unintended gradient tracking during backpropagation.