feat(QEff: Attn): add KV & Q blocking strategies for causal LMs#774
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feat(QEff: Attn): add KV & Q blocking strategies for causal LMs#774
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- Add strategy registry and AttentionBlockingConfig for extensible blocking
- Implement BlockedKVAttentionTransform for supported attention modules
- Add auto-blocking policy with device and model specific params.
- Integrate KV blocking into Llama-like models using QEffDynamicCache
Key components:
* attention_blocking.py: Strategy registry and config
* attention_blocking_policy.py: Auto-derive policy
* blocked_attention_utils.py: KV blocked attention kernels
* pytorch_transforms.py: Module-level blocking application
Usage:
qaic_config = {"num_kv_blocks": 2} # explicit
qaic_config = {"attn_blocking_auto": True} # automatic
Signed-off-by: vbaddi <vbaddi@qti.qualcomm.com>
Signed-off-by: vbaddi <vbaddi@qti.qualcomm.com>
…ic_config Signed-off-by: vbaddi <vbaddi@qti.qualcomm.com>
Signed-off-by: vbaddi <vbaddi@qti.qualcomm.com>
Signed-off-by: vbaddi <vbaddi@qti.qualcomm.com>
Signed-off-by: Kushal Dulla <quic_kdulla@quicinc.com>
…ferent kinds of blocking Signed-off-by: Kushal Dulla <quic_kdulla@quicinc.com>
Signed-off-by: Kushal Dulla <quic_kdulla@quicinc.com>
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Summary
Key Features
WIP
.from_pretrained()to.compile()and keep a depreciation warning at.from_pretrained()level.++ @kdulla