Comments (3)
Hello @yzh119, I know about this, it involves merging the latent proj_in and proj_out into the Q/KV proj_in/out
Maybe I will try to take a look this weekend.
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Multi-Head Latency Attention
Btw it is Multi-Head Latent Attention
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Thank you @jon-chuang !
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Related Issues (20)
- There are precision errors compared with flash_attn_2_cuda.varlen_fwd HOT 3
- flashinfer.page.append_paged_kv_cache will cause an invalid memory access if device != 'cuda:0' HOT 1
- Some questions about kFillZero HOT 3
- RuntimeError: Out of workspace memory in AlignedAlloactor when there is a lot of GPU memory left HOT 30
- [Feature request] Sparse Attention HOT 5
- Feature: Flash Attention 3 HOT 3
- Build on L20 failed: RuntimeError: FlashInfer requires sm75+ HOT 3
- undefined symbol: _ZN3c1021throwNullDataPtrErrorEv HOT 2
- `top_k_top_p_sampling_from_probs` ocassionally output invalid token_ids HOT 15
- Sliding Window Support? HOT 3
- Can we integrate Flashinfer into gpt-fast? HOT 9
- Chunked prefill support HOT 5
- pytorch 2.4 support
- [FEAT REQ][CUDA GRAPH] Allow explicit control flag to force enable/disable split KV HOT 2
- does flashinfer support AMD GPU? HOT 2
- can not support 2080ti HOT 13
- apply_rope_inplace will cause graphbreak due to mutated inputs HOT 4
- BatchPrefillWithPagedKVCacheWrapper has performance degradation when setting use_cuda_graph=True HOT 3
- Please make it clear in the install guide it doesn't work for sm_75 GPUs yet HOT 10
- Failed to build flashinfer from source HOT 4
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