249644c23b
[Inference]Repalce Attention layer and MLP layer by shardformer to optimize the weight transpose operation，add fused_qkv and fused linear_add ( #5340 )
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* add fused qkv
* replace attn and mlp by shardformer
* fix bugs in mlp
* add docstrings
* fix test_inference_engine.py
* add optimize unbind
* add fused_addmm
* rm squeeze(1)
* refactor codes
* fix ci bugs
* rename ShardFormerLlamaMLP and ShardFormerLlamaAttention
* Removed the dependency on LlamaFlashAttention2
* rollback test_inference_engine.py
10 months ago
5f98a9d68a
[Infer] Optimize Blocked KVCache And Kernels Using It ( #5325 )
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* revise shape of kvcache (context attn kernel)
* revise shape of kvcache (flash decoding kernel)
* revise shape of kvcache (kvcache copy) and attn func
* init of kvcache in kvcache manager
* revise llama modeling
* revise block size retrieval
* use torch for rms_norm benchmarking
* revise block size retrieval
10 months ago
e8f0642f28
[Inference]Add Nopadding Llama Modeling ( #5327 )
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* add nopadding llama modeling
* add nopadding_llama.py
* rm unused codes
* fix bugs in test_xine_copy.py
* fix code style
10 months ago
4f28cb43c0
[inference]Optimize the usage of the mid tensors space in flash attn ( #5304 )
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* opt flash attn
* opt tmp tensor
* fix benchmark_llama
* fix code style
* fix None logic for output tensor
* fix adapted to get_xine_cache
* add comment
* fix ci bugs
* fix some codes
* rm duplicated codes
* rm duplicated codes
* fix code style
* add _get_dtype in config.py
10 months ago
3da9993b0d
[Kernel/Fix] Revise flash attention triton kernel API and add benchmark ( #5301 )
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* fix decoding kernel pytest
* revise and add triton context attn benchmark
10 months ago
bfff9254ac
[inference] Adapted to Rotary Embedding and RMS Norm ( #5283 )
...
* adapted to rotary_embedding
* adapted to nopad rms norm
* fix bugs in benchmark
* fix flash_decoding.py
10 months ago
6e487e7d3c
[kernel/fix] Performance Optimization for Decoding Kernel and Benchmarking ( #5274 )
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* prevent re-creating intermediate tensors
* add singleton class holding intermediate values
* fix triton kernel api
* add benchmark in pytest
* fix kernel api and add benchmark
* revise flash decoding triton kernel in/out shapes
* fix calling of triton kernel in modeling
* fix pytest: extract to util functions
11 months ago
9e2342bde2
[Hotfix] Fix bugs in testing continuous batching ( #5270 )
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* fix bug
* fix bugs
* fix bugs
* fix bugs and add padding
* add funcs and fix bugs
* fix typos
* fix bugs
* add func
11 months ago
86b63f720c
[Inference]Adapted to the triton attn kernels ( #5264 )
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* adapted to the triton attn kernels
* fix pad input
* adapted to copy_kv_to_blocked_cache
* fix ci test
* update kv memcpy
* remove print
11 months ago
fa85e02b3b
[kernel] Add KV cache copy kernel during decoding ( #5261 )
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* add kv copy triton kernel during decoding stage
* add pytest and fix kernel
* fix test utilities
* revise kernel config
* add benchmark for kvcache copy
11 months ago
1ded7e81ef
[git] fixed rebased files
11 months ago
fab294c7f4
fix CI bugs
11 months ago
2a73e828eb
fix bugs related to processing padding mask
11 months ago
e545a871b8
[Hotfix] Fix accuracy and align attention method api with Triton kernel ( #5229 )
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* fix accuracy
* alignment in attention
* fix attention
* fix
* fix bugs
* fix bugs
* fix bugs
11 months ago
fa4fbdbffb
adapted to pad_context_forward
11 months ago
47e53eaa1c
fix bugs in attention.py and request_handler.py
11 months ago
bfd9b1b494
[Inference] Pytorch Attention func, pad&nopad input support ( #5219 )
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* add attn
* add attention test
* fix attn forward
* fix decoding
11 months ago
3ad1f3b78b
fix beam_width
11 months ago
b2eb9cd186
Fixed a typo
11 months ago
02c1bf8b2a
add context_attention_unpadded
11 months ago
9489dc64d8
precision alignment
11 months ago
62968588d1
fix bugs in request_handler
11 months ago
62fd08ee44
Fixed a bug in the inference frame
11 months ago
86853a37d5
Add padding llama model
11 months ago
8daee26989
[Inference] Add the logic of the inference engine ( #5173 )
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* add infer_struct and infer_config
* update codes
* change InferConfig
* Add hf_model_config to the engine
* rm _get_hf_model_config
* update codes
* made adjustments according to the feedback from the reviewer.
* update codes
* add ci test for config and struct
* Add the logic of the inference engine
* update engine and test
* Recover cache_manager.py
* add logger
* fix conflict
* update codes
* update codes
* update model and tokenizer
* fix add the logic about shardformer
* change kvcache_manager docstring
* add policy
* fix ci bug in test_kvcache_manager.py
* remove codes related o tokenizer and move model_policy
* fix code style
* add ordered_set to requirements-infer.txt
* Delete extra empty lines
* add ordered_set to requirements-test.txt
11 months ago
yuehuayingxueluo