9 Commits (19d1510ea26d10484a804eb62f6d03dbcc7c80a8)

Author	SHA1	Message	Date
Frank Lee	027aa1043f	[doc] updated inference readme (#5343)	10 months ago
Jianghai	4cf4682e70	[Inference] First PR for rebuild colossal-infer (#5143) ... * add engine and scheduler * add dirs --------- Co-authored-by: CjhHa1 <cjh18671720497outlook.com>	11 months ago
Xu Kai	fb103cfd6e	[inference] update examples and engine (#5073) ... * update examples and engine * fix choices * update example	1 year ago
Xu Kai	fd6482ad8c	[inference] Refactor inference architecture (#5057) ... * [inference] support only TP (#4998) * support only tp * enable tp * add support for bloom (#5008) * [refactor] refactor gptq and smoothquant llama (#5012) * refactor gptq and smoothquant llama * fix import error * fix linear import torch-int * fix smoothquant llama import error * fix import accelerate error * fix bug * fix import smooth cuda * fix smoothcuda * [Inference Refactor] Merge chatglm2 with pp and tp (#5023) merge chatglm with pp and tp * [Refactor] remove useless inference code (#5022) * remove useless code * fix quant model * fix test import bug * mv original inference legacy * fix chatglm2 * [Refactor] refactor policy search and quant type controlling in inference (#5035) * [Refactor] refactor policy search and quant type controling in inference * [inference] update readme (#5051) * update readme * update readme * fix architecture * fix table * fix table * [inference] udpate example (#5053) * udpate example * fix run.sh * fix rebase bug * fix some errors * update readme * add some features * update interface * update readme * update benchmark * add requirements-infer --------- Co-authored-by: Bin Jia <45593998+FoolPlayer@users.noreply.github.com> Co-authored-by: Zhongkai Zhao <kanezz620@gmail.com>	1 year ago
Bin Jia	b6696beb04	[Pipeline Inference] Merge pp with tp (#4993) ... * refactor pipeline into new CaiInferEngine * updata llama modeling forward * merge tp with pp * update docstring * optimize test workflow and example * fix typo * add assert and todo	1 year ago
Bin Jia	1db6727678	[Pipeline inference] Combine kvcache with pipeline inference (#4938) ... * merge kvcache with pipeline inference and refactor the code structure * support ppsize > 2 * refactor pipeline code * do pre-commit * modify benchmark * fix bench mark * polish code * add docstring and update readme * refactor the code * fix some logic bug of ppinfer * polish readme * fix typo * skip infer test	1 year ago
github-actions[bot]	486d06a2d5	[format] applied code formatting on changed files in pull request 4820 (#4886) ... Co-authored-by: github-actions <github-actions@github.com>	1 year ago
Bin Jia	08a9f76b2f	[Pipeline Inference] Sync pipeline inference branch to main (#4820) ... * [pipeline inference] pipeline inference (#4492) * add pp stage manager as circle stage * fix a bug when create process group * add ppinfer basic framework * add micro batch manager and support kvcache-pp gpt2 fwd * add generate schedule * use mb size to control mb number * support generate with kv cache * add output, remove unused code * add test * reuse shardformer to build model * refactor some code and use the same attribute name of hf * fix review and add test for generation * remove unused file * fix CI * add cache clear * fix code error * fix typo * [Pipeline inference] Modify to tieweight (#4599) * add pp stage manager as circle stage * fix a bug when create process group * add ppinfer basic framework * add micro batch manager and support kvcache-pp gpt2 fwd * add generate schedule * use mb size to control mb number * support generate with kv cache * add output, remove unused code * add test * reuse shardformer to build model * refactor some code and use the same attribute name of hf * fix review and add test for generation * remove unused file * modify the way of saving newtokens * modify to tieweight * modify test * remove unused file * solve review * add docstring * [Pipeline inference] support llama pipeline inference (#4647) * support llama pipeline inference * remove tie weight operation * [pipeline inference] Fix the blocking of communication when ppsize is 2 (#4708) * add benchmark verbose * fix export tokens * fix benchmark verbose * add P2POp style to do p2p communication * modify schedule as p2p type when ppsize is 2 * remove unused code and add docstring * [Pipeline inference] Refactor code, add docsting, fix bug (#4790) * add benchmark script * update argparse * fix fp16 load * refactor code style * add docstring * polish code * fix test bug * [Pipeline inference] Add pipeline inference docs (#4817) * add readme doc * add a ico * Add performance * update table of contents * refactor code (#4873)	1 year ago
Cuiqing Li	bce0f16702	[Feature] The first PR to Add TP inference engine, kv-cache manager and related kernels for our inference system (#4577) ... * [infer] Infer/llama demo (#4503) * add * add infer example * finish * finish * stash * fix * [Kernels] add inference token attention kernel (#4505) * add token forward * fix tests * fix comments * add try import triton * add adapted license * add tests check * [Kernels] add necessary kernels (llama & bloom) for attention forward and kv-cache manager (#4485) * added _vllm_rms_norm * change place * added tests * added tests * modify * adding kernels * added tests: * adding kernels * modify * added * updating kernels * adding tests * added tests * kernel change * submit * modify * added * edit comments * change name * change commnets and fix import * add * added * combine codes (#4509) * [feature] add KV cache manager for llama & bloom inference (#4495) * add kv cache memory manager * add stateinfo during inference * format * format * rename file * add kv cache test * revise on BatchInferState * file dir change * [Bug FIx] import llama context ops fix (#4524) * added _vllm_rms_norm * change place * added tests * added tests * modify * adding kernels * added tests: * adding kernels * modify * added * updating kernels * adding tests * added tests * kernel change * submit * modify * added * edit comments * change name * change commnets and fix import * add * added * fix * add ops into init.py * add * [Infer] Add TPInferEngine and fix file path (#4532) * add engine for TP inference * move file path * update path * fix TPInferEngine * remove unused file * add engine test demo * revise TPInferEngine * fix TPInferEngine, add test * fix * Add Inference test for llama (#4508) * add kv cache memory manager * add stateinfo during inference * add * add infer example * finish * finish * format * format * rename file * add kv cache test * revise on BatchInferState * add inference test for llama * fix conflict * feature: add some new features for llama engine * adapt colossalai triton interface * Change the parent class of llama policy * add nvtx * move llama inference code to tensor_parallel * fix __init__.py * rm tensor_parallel * fix: fix bugs in auto_policy.py * fix:rm some unused codes * mv colossalai/tpinference to colossalai/inference/tensor_parallel * change __init__.py * save change * fix engine * Bug fix: Fix hang * remove llama_infer_engine.py --------- Co-authored-by: yuanheng-zhao <jonathan.zhaoyh@gmail.com> Co-authored-by: CjhHa1 <cjh18671720497@outlook.com> * [infer] Add Bloom inference policy and replaced methods (#4512) * add bloom inference methods and policy * enable pass BatchInferState from model forward * revise bloom infer layers/policies * add engine for inference (draft) * add test for bloom infer * fix bloom infer policy and flow * revise bloom test * fix bloom file path * remove unused codes * fix bloom modeling * fix dir typo * fix trivial * fix policy * clean pr * trivial fix * Revert "[infer] Add Bloom inference policy and replaced methods (#4512)" (#4552) This reverts commit 17cfa57140. * [Doc] Add colossal inference doc (#4549) * create readme * add readme.md * fix typos * [infer] Add Bloom inference policy and replaced methods (#4553) * add bloom inference methods and policy * enable pass BatchInferState from model forward * revise bloom infer layers/policies * add engine for inference (draft) * add test for bloom infer * fix bloom infer policy and flow * revise bloom test * fix bloom file path * remove unused codes * fix bloom modeling * fix dir typo * fix trivial * fix policy * clean pr * trivial fix * trivial * Fix Bugs In Llama Model Forward (#4550) * add kv cache memory manager * add stateinfo during inference * add * add infer example * finish * finish * format * format * rename file * add kv cache test * revise on BatchInferState * add inference test for llama * fix conflict * feature: add some new features for llama engine * adapt colossalai triton interface * Change the parent class of llama policy * add nvtx * move llama inference code to tensor_parallel * fix __init__.py * rm tensor_parallel * fix: fix bugs in auto_policy.py * fix:rm some unused codes * mv colossalai/tpinference to colossalai/inference/tensor_parallel * change __init__.py * save change * fix engine * Bug fix: Fix hang * remove llama_infer_engine.py * bug fix: fix bugs about infer_state.is_context_stage * remove pollcies * fix: delete unused code * fix: delete unused code * remove unused coda * fix conflict --------- Co-authored-by: yuanheng-zhao <jonathan.zhaoyh@gmail.com> Co-authored-by: CjhHa1 <cjh18671720497@outlook.com> * [doc] add colossal inference fig (#4554) * create readme * add readme.md * fix typos * upload fig * [NFC] fix docstring for colossal inference (#4555) Fix docstring and comments in kv cache manager and bloom modeling * fix docstring in llama modeling (#4557) * [Infer] check import vllm (#4559) * change import vllm * import apply_rotary_pos_emb * change import location * [DOC] add installation req (#4561) * add installation req * fix * slight change * remove empty * [Feature] rms-norm transfer into inference llama.py (#4563) * add installation req * fix * slight change * remove empty * add rmsnorm polciy * add * clean codes * [infer] Fix tp inference engine (#4564) * fix engine prepare data * add engine test * use bloom for testing * revise on test * revise on test * reset shardformer llama (#4569) * [infer] Fix engine - tensors on different devices (#4570) * fix diff device in engine * [codefactor] Feature/colossal inference (#4579) * code factors * remove * change coding (#4581) * [doc] complete README of colossal inference (#4585) * complete fig * Update README.md * [doc]update readme (#4586) * update readme * Update README.md * bug fix: fix bus in llama and bloom (#4588) * [BUG FIX]Fix test engine in CI and non-vllm kernels llama forward (#4592) * fix tests * clean * clean * fix bugs * add * fix llama non-vllm kernels bug * modify * clean codes * [Kernel]Rmsnorm fix (#4598) * fix tests * clean * clean * fix bugs * add * fix llama non-vllm kernels bug * modify * clean codes * add triton rmsnorm * delete vllm kernel flag * [Bug Fix]Fix bugs in llama (#4601) * fix tests * clean * clean * fix bugs * add * fix llama non-vllm kernels bug * modify * clean codes * bug fix: remove rotary_positions_ids --------- Co-authored-by: cuiqing.li <lixx3527@gmail.com> * [kernel] Add triton layer norm & replace norm for bloom (#4609) * add layernorm for inference * add test for layernorm kernel * add bloom layernorm replacement policy * trivial: path * [Infer] Bug fix rotary embedding in llama (#4608) * fix rotary embedding * delete print * fix init seq len bug * rename pytest * add benchmark for llama * refactor codes * delete useless code * [bench] Add bloom inference benchmark (#4621) * add bloom benchmark * readme - update benchmark res * trivial - uncomment for testing (#4622) * [Infer] add check triton and cuda version for tests (#4627) * fix rotary embedding * delete print * fix init seq len bug * rename pytest * add benchmark for llama * refactor codes * delete useless code * add check triton and cuda * Update sharder.py (#4629) * [Inference] Hot fix some bugs and typos (#4632) * fix * fix test * fix conflicts * [typo]Comments fix (#4633) * fallback * fix commnets * bug fix: fix some bugs in test_llama and test_bloom (#4635) * [Infer] delete benchmark in tests and fix bug for llama and bloom (#4636) * fix rotary embedding * delete print * fix init seq len bug * rename pytest * add benchmark for llama * refactor codes * delete useless code * add check triton and cuda * delete benchmark and fix infer bugs * delete benchmark for tests * delete useless code * delete bechmark function in utils * [Fix] Revise TPInferEngine, inference tests and benchmarks (#4642) * [Fix] revise TPInferEngine methods and inference tests * fix llama/bloom infer benchmarks * fix infer tests * trivial fix: benchmakrs * trivial * trivial: rm print * modify utils filename for infer ops test (#4657) * [Infer] Fix TPInferEngine init & inference tests, benchmarks (#4670) * fix engine funcs * TPInferEngine: receive shard config in init * benchmarks: revise TPInferEngine init * benchmarks: remove pytest decorator * trivial fix * use small model for tests * [NFC] use args for infer benchmarks (#4674) * revise infer default (#4683) * [Fix] optimize/shard model in TPInferEngine init (#4684) * remove using orig model in engine * revise inference tests * trivial: rename --------- Co-authored-by: Jianghai <72591262+CjhHa1@users.noreply.github.com> Co-authored-by: Xu Kai <xukai16@foxmail.com> Co-authored-by: Yuanheng Zhao <54058983+yuanheng-zhao@users.noreply.github.com> Co-authored-by: yuehuayingxueluo <867460659@qq.com> Co-authored-by: yuanheng-zhao <jonathan.zhaoyh@gmail.com> Co-authored-by: CjhHa1 <cjh18671720497@outlook.com>	1 year ago