Co#184
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jamesthesnake merged 33 commits intomostfrom Oct 15, 2023
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…case) (hpcaitech#4771) * add Colossal-Inference serving example w/ TorchServe * add dockerfile * fix dockerfile * fix dockerfile: fix commit hash, install curl * refactor file structure * revise readme * trivial * trivial: dockerfile format * clean dir; revise readme * fix comments: fix imports and configs * fix formats * remove unused requirements
) * fix imports * add ray-serve with Colossal-Infer tp * trivial: send requests script * add README * fix worker port * fix readme * use app builder and autoscaling * trivial: input args * clean code; revise readme * testci (skip example test) * use auto model/tokenizer * revert imports fix (fixed in other PRs)
* fix import bug and release useless init * fix * fix * fix
* fix test bug * delete useless code * fix typo
…ng correspoding docs)
[doc]: typo in document of booster low_level_zero plugin
…ow_level_zero [test] remove the redundant code of model output transformation in torchrec
…hpcaitech#4866) * [doc]update advanced tutorials, training gpt with hybrid parallelism * [doc]update advanced tutorials, training gpt with hybrid parallelism * update vit tutorials * update vit tutorials * update vit tutorials * update vit tutorials * update en/train_vit_with_hybrid_parallel.py * fix * resolve comments * fix
add modelscope link
add modelscope model link
…h#4820) * [pipeline inference] pipeline inference (hpcaitech#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 (hpcaitech#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 (hpcaitech#4647) * support llama pipeline inference * remove tie weight operation * [pipeline inference] Fix the blocking of communication when ppsize is 2 (hpcaitech#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 (hpcaitech#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 (hpcaitech#4817) * add readme doc * add a ico * Add performance * update table of contents * refactor code (hpcaitech#4873)
[doc] add reminder for issue encountered with hybrid adam
* [gemini] support no reuse fp16 chunk * [gemini] support no master weight for optim * [gemini] support no master weight for gemini ddp * [test] update gemini tests * [test] update gemini tests * [plugin] update gemini plugin * [test] fix gemini checkpointio test * [test] fix gemini checkpoint io
* Add clip_grad_norm for hibrid_parallel_plugin * polish code * add unittests * Move tp to a higher-level optimizer interface. * bug fix * polish code
* add llama2 support * fix multi group bug
…pcaitech#4816) * [feature] support no master weights for low level zero plugin * [feature] support no master weights for low level zero plugin, remove data copy when no master weights * remove data copy and typecasting when no master weights * not load weights to cpu when using no master weights * fix grad: use fp16 grad when no master weights * only do not update working param when no master weights * fix: only do not update working param when no master weights * fix: passing params in dict format in hybrid plugin * fix: remove extra params (tp_process_group) in hybrid_parallel_plugin
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