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Merge pull request #315 from kvcache-ai/Atream-add-adapted
Atream add adapted
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commit
f9f9f746c0
@ -262,7 +262,7 @@ class KDeepseekV2Attention(BaseInjectedModule, DeepseekV2Attention):
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"""
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# flash attn doesn't support head_dim bigger than 256
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# use vLLM triton attention kernel for MQA
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# use triton attention kernel adapted from vLLM and SGLang for MQA
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decode_attention_fwd_grouped(query_states, compressed_kv_with_k_pe, compressed_kv, attn_output,
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page_table,
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position_ids.squeeze(0).to(torch.int32), attn_logits,
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@ -551,4 +551,4 @@ class KLlamaAttention(BaseInjectedModule):
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if not output_attentions:
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attn_weights = None
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return attn_output, attn_weights, past_key_value
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return attn_output, attn_weights, past_key_value
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@ -1,3 +1,9 @@
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# Adapted from
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# https://github.com/sgl-project/sglang/blob/9f635ea50de920aa507f486daafba26a5b837574/python/sglang/srt/layers/attention/triton_ops/decode_attention.py
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# which was originally adapted from
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# https://github.com/ModelTC/lightllm/blob/96353e868a840db4d103138caf15ed9dbea8c186/lightllm/models/deepseek2/triton_kernel/gqa_flash_decoding_stage1.py
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# https://github.com/ModelTC/lightllm/blob/96353e868a840db4d103138caf15ed9dbea8c186/lightllm/models/deepseek2/triton_kernel/gqa_flash_decoding_stage2.py
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import triton
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import triton.language as tl
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@ -376,4 +382,4 @@ def decode_attention_fwd_grouped(
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)
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_decode_softmax_reducev_fwd(attn_logits, q, o, v_buffer, b_seq_len,
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num_kv_splits)
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num_kv_splits)
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