mirror of https://github.com/hpcaitech/ColossalAI
37 Commits (5b094a836b53415697de510d3a2c3b885631061c)
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e0c68ab6d3
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[Zerobubble] merge main. (#6142)
* [feat] add zerobubble pp (just a frame now); add POC test for dx_dw; add test for zerobubble; * [feat] add dw test; * [fix] fix weight not close; * [update] update text; * [feat] add test run_fwd_bwd automatic scheduling; * [feat] split communication and calculation; fix pop empty send_bwd_buffer error; * [feat] add test for p & p grad; * [feat] add comments for ZBV func; * [fix] rm useless assign and comments; * [fix] fix ci test; add pytest; * [feat] add run_fwd_bwd_with_microbatch (replace input) & test; add p&p.grad assert close test & all pass; * [feat] add apply v_schedule graph; p & p.grad assert err exist; * [fix] update * [feat] fix ci; add assert; * [feat] fix poc format * [feat] fix func name & ci; add comments; * [fix] fix poc test; add comments in poc; * [feat] add optim backward_b_by_grad * [feat] fix optimizer bwd b & w; support return accum loss & output * [feat] add fwd_bwd_step, run_fwd_only; * [fix] fix optim bwd; add license for v_schedule; remove redundant attributes; fix schedule loop "while"--> "for"; add communication dict; * [fix] fix communication_map; * [feat] update test; rm comments; * [fix] rm zbv in hybridplugin * [fix] fix optim bwd; * [fix] fix optim bwd; * [fix] rm output.data after send fwd; * [fix] fix bwd step if condition; remove useless comments and format info; * [fix] fix detach output & release output; * [fix] rm requir_grad for output; * [fix] fix requir grad position and detach position and input&output local buffer append position; * [feat] add memory assertation; * [fix] fix mem check; * [fix] mem assertation' * [fix] fix mem assertation * [fix] fix mem; use a new model shape; only assert mem less and equal than theo; * [fix] fix model zoo import; * [fix] fix redundant detach & clone; add buffer assertation in the end; * [fix] add output_obj_grad assert None at bwd b step; replace input_obj.require_grad_ with treemap; * [fix] update optim state dict assert (include param group & state); fix mem assert after add optim; * [fix] add testcase with microbatch 4; * [zerobubble]Support ZeroBubble Pipeline (#6034) * [feat] add zerobubble pp (just a frame now); add POC test for dx_dw; add test for zerobubble; * [feat] add dw test; * [fix] fix weight not close; * [update] update text; * [feat] add test run_fwd_bwd automatic scheduling; * [feat] split communication and calculation; fix pop empty send_bwd_buffer error; * [feat] add test for p & p grad; * [feat] add comments for ZBV func; * [fix] rm useless assign and comments; * [fix] fix ci test; add pytest; * [feat] add run_fwd_bwd_with_microbatch (replace input) & test; add p&p.grad assert close test & all pass; * [feat] add apply v_schedule graph; p & p.grad assert err exist; * [fix] update * [feat] fix ci; add assert; * [feat] fix poc format * [feat] fix func name & ci; add comments; * [fix] fix poc test; add comments in poc; * [feat] add optim backward_b_by_grad * [feat] fix optimizer bwd b & w; support return accum loss & output * [feat] add fwd_bwd_step, run_fwd_only; * [fix] fix optim bwd; add license for v_schedule; remove redundant attributes; fix schedule loop "while"--> "for"; add communication dict; * [fix] fix communication_map; * [feat] update test; rm comments; * [fix] rm zbv in hybridplugin * [fix] fix optim bwd; * [fix] fix optim bwd; * [fix] rm output.data after send fwd; * [fix] fix bwd step if condition; remove useless comments and format info; * [fix] fix detach output & release output; * [fix] rm requir_grad for output; * [fix] fix requir grad position and detach position and input&output local buffer append position; * [feat] add memory assertation; * [fix] fix mem check; * [fix] mem assertation' * [fix] fix mem assertation * [fix] fix mem; use a new model shape; only assert mem less and equal than theo; * [fix] fix model zoo import; * [fix] fix redundant detach & clone; add buffer assertation in the end; * [fix] add output_obj_grad assert None at bwd b step; replace input_obj.require_grad_ with treemap; * [fix] update optim state dict assert (include param group & state); fix mem assert after add optim; * [fix] add testcase with microbatch 4; * [feat] moehybrid support zerobubble; * [fix] fix zerobubble pp for shardformer type input; * [feat] add more test; * [fix] fix require_grad & deallocate call; * [fix] updatw bwd b&w input; dict --> list[torch.Tensor] * [fix] fix bwd w input; * [fix] fix mem assert; * [fix] fix input_tensors buffer append input_obj(dict) --> Tuple (microbatch, input_obj) , and all bwd b related cal logic; * [fix] use tree_flatten replace dict traverse; * [fix] rm comments; * [fix] fix fwd branch, fwd pass both micro_batch & internal_inputs' * [fix] fix pipeline util func deallocate --> release_tensor_data; fix bwd_b loss bwd branch; * [fix] fix detach clone release order; * [fix] fix ci --> oom in 4096 hidden dim; * [fix] fix dumb clone; * [fix] fix detach_output_obj clone; * [fix] fix stage_indices; * [fix] fix traverse; traverse dict --> traverse tensor List; * [fix] fix zerobubble; support shardformer model type; * [fix] rm comments; * [fix] fix test_pipeline_utils ci; * [fix] remove duplicate arg; rm comments; * [fix] remove chunk 0 stage 0 bwd b; u don't have to cal micrbatch's dx; * [fix] rm print & comments; * [plugin] hybrid support zero bubble pipeline (#6060) * hybrid support zbv * fix fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * Update zero_bubble_pp.py * fix * fix-ci * fix [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * fix * fix * fix * [zerobubble]Support ZeroBubble Pipeline (#6034) * [feat] add zerobubble pp (just a frame now); add POC test for dx_dw; add test for zerobubble; * [feat] add dw test; * [fix] fix weight not close; * [update] update text; * [feat] add test run_fwd_bwd automatic scheduling; * [feat] split communication and calculation; fix pop empty send_bwd_buffer error; * [feat] add test for p & p grad; * [feat] add comments for ZBV func; * [fix] rm useless assign and comments; * [fix] fix ci test; add pytest; * [feat] add run_fwd_bwd_with_microbatch (replace input) & test; add p&p.grad assert close test & all pass; * [feat] add apply v_schedule graph; p & p.grad assert err exist; * [fix] update * [feat] fix ci; add assert; * [feat] fix poc format * [feat] fix func name & ci; add comments; * [fix] fix poc test; add comments in poc; * [feat] add optim backward_b_by_grad * [feat] fix optimizer bwd b & w; support return accum loss & output * [feat] add fwd_bwd_step, run_fwd_only; * [fix] fix optim bwd; add license for v_schedule; remove redundant attributes; fix schedule loop "while"--> "for"; add communication dict; * [fix] fix communication_map; * [feat] update test; rm comments; * [fix] rm zbv in hybridplugin * [fix] fix optim bwd; * [fix] fix optim bwd; * [fix] rm output.data after send fwd; * [fix] fix bwd step if condition; remove useless comments and format info; * [fix] fix detach output & release output; * [fix] rm requir_grad for output; * [fix] fix requir grad position and detach position and input&output local buffer append position; * [feat] add memory assertation; * [fix] fix mem check; * [fix] mem assertation' * [fix] fix mem assertation * [fix] fix mem; use a new model shape; only assert mem less and equal than theo; * [fix] fix model zoo import; * [fix] fix redundant detach & clone; add buffer assertation in the end; * [fix] add output_obj_grad assert None at bwd b step; replace input_obj.require_grad_ with treemap; * [fix] update optim state dict assert (include param group & state); fix mem assert after add optim; * [fix] add testcase with microbatch 4; * hybrid support zbv * fix fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update zero_bubble_pp.py * fix * fix-ci * fix [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * fix * fix * fix * fix * fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * fix * fix * fix --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: duanjunwen <935724073@qq.com> * [feat] zerobubble support moehybridplugin; * [feat] update optimizer bwd; ä¸ * [fix] fix build ci; * [zerobubble] rebase main (#6075) * fp8 operators for compressed communication cast_to_fp8, cast_from_fp8, all_reduce_fp8 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix typo * fix scaling algorithm in FP8 casting * support fp8 communication in pipeline parallelism * add fp8_communication flag in the script * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * shardformer fp8 * fix rebase * remove all to all * fix shardformer fp8 communication training degradation * [fp8] support all-gather flat tensor (#5932) * [fp8] add fp8 comm for low level zero * [test] add zero fp8 test case * [Feature] llama shardformer fp8 support (#5938) * add llama shardformer fp8 * Llama Shardformer Parity * fix typo * fix all reduce * fix pytest failure * fix reduce op and move function to fp8.py * fix typo * [FP8] rebase main (#5963) * add SimPO * fix dataloader * remove debug code * add orpo * fix style * fix colossalai, transformers version * fix colossalai, transformers version * fix colossalai, transformers version * fix torch colossalai version * update transformers version * [shardformer] DeepseekMoE support (#5871) * [Feature] deepseek moe expert parallel implement * [misc] fix typo, remove redundant file (#5867) * [misc] fix typo * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [Feature] deepseek support & unit test * [misc] remove debug code & useless print * [misc] fix typos (#5872) * [Feature] remove modeling file, use auto config. (#5884) * [misc] fix typos * [Feature] deepseek support via auto model, remove modeling file * [misc] delete useless file * [misc] fix typos * [Deepseek] remove redundant code (#5888) * [misc] fix typos * [Feature] deepseek support via auto model, remove modeling file * [misc] delete useless file * [misc] fix typos * [misc] remove redundant code * [Feature/deepseek] resolve comment. (#5889) * [misc] fix typos * [Feature] deepseek support via auto model, remove modeling file * [misc] delete useless file * [misc] fix typos * [misc] remove redundant code * [misc] mv module replacement into if branch * [misc] add some warning message and modify some code in unit test * [misc] fix typos --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [Hoxfix] Fix CUDA_DEVICE_MAX_CONNECTIONS for comm overlap Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [Feat] Diffusion Model(PixArtAlpha/StableDiffusion3) Support (#5838) * Diffusion Model Inference support * Stable Diffusion 3 Support * pixartalpha support * [HotFix] CI,import,requirements-test for #5838 (#5892) * [Hot Fix] CI,import,requirements-test --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [Feature] Enable PP + SP for llama (#5868) * fix cross-PP-stage position id length diff bug * fix typo * fix typo * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * use a one cross entropy func for all shardformer models --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [ShardFormer] Add Ulysses Sequence Parallelism support for Command-R, Qwen2 and ChatGLM (#5897) * add benchmark for sft, dpo, simpo, orpo. Add benchmarking result. Support lora with gradient checkpoint * fix style * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix eval * hotfix citation * [zero] support all-gather overlap (#5898) * [zero] support all-gather overlap * [zero] add overlap all-gather flag * [misc] fix typo * [zero] update api * fix orpo cross entropy loss * [Auto Parallel]: Speed up intra-op plan generation by 44% (#5446) * Remove unnecessary calls to deepcopy * Build DimSpec's difference dict only once This change considerably speeds up construction speed of DimSpec objects. The difference_dict is the same for each DimSpec object, so a single copy of it is enough. * Fix documentation of DimSpec's difference method * [ShardFormer] fix qwen2 sp (#5903) * [compatibility] support torch 2.2 (#5875) * Support Pytorch 2.2.2 * keep build_on_pr file and update .compatibility * fix object_to_tensor usage when torch>=2.3.0 (#5820) * [misc] support torch2.3 (#5893) * [misc] support torch2.3 * [devops] update compatibility ci * [devops] update compatibility ci * [devops] add debug * [devops] add debug * [devops] add debug * [devops] add debug * [devops] remove debug * [devops] remove debug * [release] update version (#5912) * [plugin] support all-gather overlap for hybrid parallel (#5919) * [plugin] fixed all-gather overlap support for hybrid parallel * add kto * fix style, add kto data sample * [Examples] Add lazy init to OPT and GPT examples (#5924) Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [ColossalChat] Hotfix for ColossalChat (#5910) * add ignore and tiny llama * fix path issue * run style * fix issue * update bash * add ignore and tiny llama * fix path issue * run style * fix issue * update bash * fix ddp issue * add Qwen 1.5 32B * refactor tokenization * [FIX BUG] UnboundLocalError: cannot access local variable 'default_conversation' where it is not associated with a value (#5931) * cannot access local variable 'default_conversation' where it is not associated with a value set default value for 'default_conversation' * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * fix test data * refactor evaluation * remove real data path * remove real data path * Add n_fused as an input from native_module (#5894) * [FIX BUG] convert env param to int in (#5934) * [Hotfix] Fix ZeRO typo #5936 Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [Feature] Add a switch to control whether the model checkpoint needs to be saved after each epoch ends (#5941) * Add a switch to control whether the model checkpoint needs to be saved after each epoch ends * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * fix style * fix style * fix style * [shardformer] hotfix attn mask (#5945) * [shardformer] hotfix attn mask (#5947) * [Feat] Distrifusion Acceleration Support for Diffusion Inference (#5895) * Distrifusion Support source * comp comm overlap optimization * sd3 benchmark * pixart distrifusion bug fix * sd3 bug fix and benchmark * generation bug fix * naming fix * add docstring, fix counter and shape error * add reference * readme and requirement * [zero] hotfix update master params (#5951) * [release] update version (#5952) * [Chat] Fix lora (#5946) * fix merging * remove filepath * fix style * Update README.md (#5958) * [hotfix] Remove unused plan section (#5957) * remove readme * fix readme * update * [test] add mixtral for sequence classification * [test] add mixtral transformer test * [moe] fix plugin * [test] mixtra pp shard test * [chore] handle non member group * [zero] solve hang * [test] pass mixtral shardformer test * [moe] implement transit between non moe tp and ep * [zero] solve hang * [misc] solve booster hang by rename the variable * solve hang when parallel mode = pp + dp * [moe] implement submesh initialization * [moe] add mixtral dp grad scaling when not all experts are activated * [chore] manually revert unintended commit * [chore] trivial fix * [chore] arg pass & remove drop token * [test] add mixtral modelling test * [moe] implement tp * [moe] test deepseek * [moe] clean legacy code * [Feature] MoE Ulysses Support (#5918) * moe sp support * moe sp bug solve * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [chore] minor fix * [moe] init moe plugin comm setting with sp * moe sp + ep bug fix * [moe] finalize test (no pp) * [moe] full test for deepseek and mixtral (pp + sp to fix) * [chore] minor fix after rebase * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [chore] solve moe ckpt test failure and some other arg pass failure * [moe] remove ops * [test] fix test: test_zero1_2 * [bug] fix: somehow logger hangs the program * [moe] deepseek moe sp support * [test] add check * [deepseek] replace attn (a workaround for bug in transformers) * [misc] skip redunant test * [misc] remove debug/print code * [moe] refactor mesh assignment * Revert "[moe] implement submesh initialization" This reverts commit |
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8fd25d6e09
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[Feature] Split cross-entropy computation in SP (#5959)
* halfway * fix cross-PP-stage position id length diff bug * fix typo * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * unified cross entropy func for all shardformer models * remove redundant lines * add basic ring attn; debug cross entropy * fwd bwd logic complete * fwd bwd logic complete; add experimental triton rescale * precision tests passed * precision tests passed * fix typos and remove misc files * update softmax_lse shape by new interface * change tester name * remove buffer clone; support packed seq layout * add varlen tests * fix typo * all tests passed * add dkv_group; fix mask * remove debug statements * adapt chatglm, command-R, qwen * debug * halfway * fix cross-PP-stage position id length diff bug * fix typo * fix typo * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * unified cross entropy func for all shardformer models * remove redundant lines * add basic ring attn; debug cross entropy * fwd bwd logic complete * fwd bwd logic complete; add experimental triton rescale * precision tests passed * precision tests passed * fix typos and remove misc files * add sp_mode to benchmark; fix varlen interface * update softmax_lse shape by new interface * add varlen tests * fix typo * all tests passed * add dkv_group; fix mask * remove debug statements * add comments * q1 index only once * remove events to simplify stream sync * simplify forward/backward logic * 2d ring forward passed * 2d ring backward passed * fixes * fix ring attn loss * 2D ring backward + llama passed * merge * update logger * fix typo * rebase * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix typo * remove typos * fixes * support GPT --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> |
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f5c84af0b0
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[Feature] Zigzag Ring attention (#5905)
* halfway * fix cross-PP-stage position id length diff bug * fix typo * fix typo * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * unified cross entropy func for all shardformer models * remove redundant lines * add basic ring attn; debug cross entropy * fwd bwd logic complete * fwd bwd logic complete; add experimental triton rescale * precision tests passed * precision tests passed * fix typos and remove misc files * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add sp_mode to benchmark; fix varlen interface * update softmax_lse shape by new interface * change tester name * remove buffer clone; support packed seq layout * add varlen tests * fix typo * all tests passed * add dkv_group; fix mask * remove debug statements --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> |
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fbf33ecd01
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[Feature] Enable PP + SP for llama (#5868)
* fix cross-PP-stage position id length diff bug * fix typo * fix typo * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * use a one cross entropy func for all shardformer models --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> |
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416580b314
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[MoE/ZeRO] Moe refactor with zero refactor (#5821)
* [moe] removed openmoe-coupled code and rectify mixstral code (#5471) * [Feauture] MoE refractor; Intergration with Mixtral (#5682) * cherry pick from refractor-moe branch * tests passed * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * support ep + zero --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * add mixtral auto policy & move pipeline forward code to modeling folder * [moe refactor] modify kernel test without Route Class * [moe refactor] add moe tensor test path environment variable to github workflow * fix typos * fix moe test bug due to the code rebase * [moe refactor] fix moe zero test, and little bug in low level zero * fix typo * add moe tensor path to github workflow * remove some useless code * fix typo & unify global variable XX_AXIS logic without using -1 * fix typo & prettifier the code * remove print code & support zero 2 test * remove useless code * reanme function * fix typo * fix typo * Further improve the test code * remove print code * [moe refactor] change test model from fake moe model to mixtral moe layer and remove useless test * [moe refactor] skip some unit test which will be refactored later * [moe refactor] fix unit import error * [moe refactor] fix circular import issues * [moe refactor] remove debug code * [moe refactor] update github workflow * [moe/zero] refactor low level optimizer (#5767) * [zero] refactor low level optimizer * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [Feature] MoE refactor with newest version of ZeRO (#5801) * [zero] remove redundant members in BucketStore (#5802) * [zero] align api with previous version * [Moe/Zero] Update MoeHybridParallelPlugin with refactored ZeRO and Fix Zero bug (#5819) * [moe refactor] update unit test with the refactored ZeRO and remove useless test * move moe checkpoint to checkpoint folder and exchange global axis to class member * update moe hybrid parallel plugin with newest version of zero & fix zero working/master params bug * fix zero unit test * Add an assertion to prevent users from using it incorrectly * [hotfix]Solve the compatibility issue of zero refactor (#5823) * [moe refactor] update unit test with the refactored ZeRO and remove useless test * move moe checkpoint to checkpoint folder and exchange global axis to class member * update moe hybrid parallel plugin with newest version of zero & fix zero working/master params bug * fix zero unit test * Add an assertion to prevent users from using it incorrectly * Modify function parameter names to resolve compatibility issues * [zero] fix missing hook removal (#5824) * [MoE] Resolve .github conflict (#5829) * [Fix/Example] Fix Llama Inference Loading Data Type (#5763) * [fix/example] fix llama inference loading dtype * revise loading dtype of benchmark llama3 * [release] update version (#5752) * [release] update version * [devops] update compatibility test * [devops] update compatibility test * [devops] update compatibility test * [devops] update compatibility test * [test] fix ddp plugin test * [test] fix gptj and rpc test * [devops] fix cuda ext compatibility * [inference] fix flash decoding test * [inference] fix flash decoding test * fix (#5765) * [test] Fix/fix testcase (#5770) * [fix] branch for fix testcase; * [fix] fix test_analyzer & test_auto_parallel; * [fix] remove local change about moe; * [fix] rm local change moe; * [Hotfix] Add missing init file in inference.executor (#5774) * [CI/tests] simplify some test case to reduce testing time (#5755) * [ci/tests] simplify some test case to reduce testing time * [ci/tests] continue to remove test case to reduce ci time cost * restore some test config * [ci/tests] continue to reduce ci time cost * [misc] update dockerfile (#5776) * [misc] update dockerfile * [misc] update dockerfile * [devops] fix docker ci (#5780) * [Inference]Add Streaming LLM (#5745) * Add Streaming LLM * add some parameters to llama_generation.py * verify streamingllm config * add test_streamingllm.py * modified according to the opinions of review * add Citation * change _block_tables tolist * [hotfix] fix llama flash attention forward (#5777) * [misc] Accelerate CI for zero and dist optim (#5758) * remove fp16 from lamb * remove d2h copy in checking states --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [Test/CI] remove test cases to reduce CI duration (#5753) * [test] smaller gpt2 test case * [test] reduce test cases: tests/test_zero/test_gemini/test_zeroddp_state_dict.py * [test] reduce test cases: tests/test_zero/test_gemini/test_grad_accum.py * [test] reduce test cases tests/test_zero/test_gemini/test_optim.py * Revert "[test] smaller gpt2 test case" Some tests might depend on the size of model (num of chunks) This reverts commit |
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8795bb2e80
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Support 4d parallel + flash attention (#5789)
* support tp + sp + pp * remove comments --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> |
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e22b82755d
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[CI/tests] simplify some test case to reduce testing time (#5755)
* [ci/tests] simplify some test case to reduce testing time * [ci/tests] continue to remove test case to reduce ci time cost * restore some test config * [ci/tests] continue to reduce ci time cost |
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77ec773388
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[zero]remove registered gradients hooks (#5687)
* remove registered hooks fix fix fix zero fix fix fix fix fix zero fix zero fix fix fix * fix fix fix |
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7f8b16635b
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[misc] refactor launch API and tensor constructor (#5666)
* [misc] remove config arg from initialize * [misc] remove old tensor contrusctor * [plugin] add npu support for ddp * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [devops] fix doc test ci * [test] fix test launch * [doc] update launch doc --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> |
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1b387ca9fe
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[shardformer] refactor pipeline grad ckpt config (#5646)
* [shardformer] refactor pipeline grad ckpt config * [shardformer] refactor pipeline grad ckpt config * [pipeline] fix stage manager |
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0d0a582033
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[shardformer] update transformers (#5583)
* flash_attention forward upgrade * llama_model_forward * remove useless comment * update the requirements.txt * add the transformers version requirements * remove the LATEST VERSION try * [shardformer] update bloom model (#5518) * update bloom model * remove the version restriction * [shardformer] update_falcon (#5520) * [shardformer] update mistral model (#5511) * [shardformer] update gpt2 (#5502) * [shardformer] update gptj model (#5503) * [shardformer] update opt (#5522) * [shardformer] update t5 model (#5524) * [shardformer] update whisper model (#5529) * [shardformer] update vit model (#5530) * update vit model * remove the output_hidden_states * [shardformer] fix llama modeling * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [zero] support multiple (partial) backward passes (#5596) * [zero] support multiple (partial) backward passes * [misc] update requirements * [zero] support multiple (partial) backward passes (#5596) * [zero] support multiple (partial) backward passes * [misc] update requirements * fix conflicts * [doc] fix ColossalMoE readme (#5599) * fix readme * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * merge with main * merge with main * llama_model_forward * remove useless comment * remove the LATEST VERSION try * [shardformer] update bloom model (#5518) * update bloom model * remove the version restriction * [shardformer] update mistral model (#5511) * [shardformer] update opt (#5522) * [shardformer] update whisper model (#5529) * [shardformer] fix llama modeling * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [hotfix] Fix examples no pad token & auto parallel codegen bug; (#5606) * fix no pad token bug * fixed some auto parallel codegen bug, but might not run on torch 2.1 --------- Co-authored-by: Edenzzzz <wtan45@wisc.edu> * [shardformer] fix pipeline grad ckpt (#5620) * [shardformer] fix pipeline grad ckpt * [shardformer] fix whisper (#5628) * [test] fix llama model test * fix the opt upgrade (#5634) * [shardformer] fix attn replacement (#5636) * [shardformer] update flashattention replacement (#5637) * update transformers update transformers fix fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [test] fix llama test (#5638) * [gemini] fix buffer cast (#5639) * Fix shardformer upgrade (#5640) * fix llama model * fix the mistral * fix the shardformer model * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [shardformer]support pipeline parallelism for mistral. (#5642) * [shardformer] fix attn replacement (#5636) * [shardformer] update flashattention replacement (#5637) * update transformers update transformers fix fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [Feature] Support LLaMA-3 CPT and ST (#5619) * support LLaMA-3 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Run pre-commit --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [exampe] update llama example (#5626) * [plugin] support dp inside for hybriad parallel * [example] update llama benchmark * [example] update llama benchmark * [example] update llama readme * [example] update llama readme * [example] llama3 (#5631) * release llama3 * [release] llama3 * [release] llama3 * [release] llama3 * [release] llama3 * [test] fix llama test (#5638) * [gemini] fix buffer cast (#5639) * support pp for mistral * fix * fix fix fix * fix --------- Co-authored-by: Hongxin Liu <lhx0217@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Tong Li <tong.li352711588@gmail.com> Co-authored-by: binmakeswell <binmakeswell@gmail.com> --------- Co-authored-by: Hongxin Liu <lhx0217@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Camille Zhong <44392324+Camille7777@users.noreply.github.com> Co-authored-by: Edenzzzz <wenxuan.tan@wisc.edu> Co-authored-by: Edenzzzz <wtan45@wisc.edu> Co-authored-by: flybird11111 <1829166702@qq.com> Co-authored-by: Tong Li <tong.li352711588@gmail.com> Co-authored-by: binmakeswell <binmakeswell@gmail.com> |
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8e412a548e
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[shardformer] Sequence Parallelism Optimization (#5533)
* sequence parallel optimization * validate sequence parallel in llama (code to be polished) * shardformer api writing * integrate sequence parallel in ShardFormer * fix pp bugs and sp bugs for LlaMa model * integrating ring-based sequence parallelism into ShardFormer * [sequence parallelism]: Add fused megatron function * integrating ring-based sequence parallelism into ShardFormer --------- Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn> * fix bugs when useing sp and flashattention together * fix operation function name * support flash attention for ulysses-style sp * clarify sp process group * fix compatibility bugs in moe plugin * fix fused linear bugs * fix linear layer test * support gpt model all-to-all sp * modify shard data dimension (meant to be dim=-1) * support megtron-style sp and distributed attn for llama model * [shardformer] add megatron sp to llama * support llama7B 128k with distributed attention * [shardformer] robustness enhancement * add block attn * sp mode 1: keep input as a complete sequence * fix sp compatability * finish sp mode 3 support for gpt * using all_to_all_single when batch size is 1 * support mode 2 sp in gpt2 (#5) * [shardformer] add megatron sp to llama * support llama7B 128k with distributed attention * [shardformer] robustness enhancement * add block attn * sp mode 1: keep input as a complete sequence * fix sp compatability * refactor ring implementation * support mode 2 sp in gpt2 * polish code * enable distributed attn mask when using sp mode 2 and 3 in llama * automatically enable flash attn when using sp mode 2 and 3 in llama * inplace attn mask * add zero2 support for sequence parallel * polish code * fix bugs * fix gemini checkpoint io * loose tensor checking atol and rtol * add comment * fix llama layernorm grad * fix zero grad * fix zero grad * fix conflict * update split and gather auto grad func * sequence parallel: inside text split (#6) * polish code (part 1) * polish code (part 2) * polish code (part 2.5) * polish code (part 3) * sequence parallel: inside text split * miscellaneous minor fixes * polish code * fix ulysses style ZeRO * sequence parallel: inside text split * miscellaneous minor fixes * disaggregate sp group and dp group for sp * fix llama and gpt sp * polish code * move ulysses grad sync to ddp (#9) * remove zero_stage and unbind the grad sync for alltoall sp * add 2d group creation test * move ulysses grad sync to ddp * add 2d group creation test * remove useless code * change shard config not to enable sp when enable_all_optimizations * add sp warnings for several model * remove useless code --------- Co-authored-by: linsj20 <linsj20@mails.tsinghua.edu.cn> |
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e614aa34f3
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[shardformer, pipeline] add `gradient_checkpointing_ratio` and heterogenous shard policy for llama (#5508)
* feat: add `GradientCheckpointConfig` and `PipelineGradientCheckpointConfig` * feat: apply `GradientCheckpointConfig` to policy and llama_forward * feat: move `distribute_layer` and `get_stage_index` to PipelineStageManager * fix: add optional args for `distribute_layer` and `get_stage_index` * fix: fix changed API calls * test: update llama tests * style: polish `GradientCheckpointConfig` * fix: fix pipeline utils tests |
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19e1a5cf16
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[shardformer] update colo attention to support custom mask (#5510)
* [feature] refactor colo attention (#5462) * [extension] update api * [feature] add colo attention * [feature] update sdpa * [feature] update npu attention * [feature] update flash-attn * [test] add flash attn test * [test] update flash attn test * [shardformer] update modeling to fit colo attention (#5465) * [misc] refactor folder structure * [shardformer] update llama flash-attn * [shardformer] fix llama policy * [devops] update tensornvme install * [test] update llama test * [shardformer] update colo attn kernel dispatch * [shardformer] update blip2 * [shardformer] update chatglm * [shardformer] update gpt2 * [shardformer] update gptj * [shardformer] update opt * [shardformer] update vit * [shardformer] update colo attention mask prep * [shardformer] update whisper * [test] fix shardformer tests (#5514) * [test] fix shardformer tests * [test] fix shardformer tests |
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4fa689fca1
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[pipeline]: fix p2p comm, add metadata cache and support llama interleaved pp (#5134)
* test: add more p2p tests * fix: remove send_forward_recv_forward as p2p op list need to use the same group * fix: make send and receive atomic * feat: update P2PComm fn * feat: add metadata cache in 1f1b * feat: add metadata cache in interleaved pp * feat: modify is_xx_stage fn * revert: add _broadcast_object_list * feat: add interleaved pp in llama policy * feat: set NCCL_BUFFSIZE in HybridParallelPlugin |
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079bf3cb26
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[misc] update pre-commit and run all files (#4752)
* [misc] update pre-commit * [misc] run pre-commit * [misc] remove useless configuration files * [misc] ignore cuda for clang-format |
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ec18fc7340
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[shardformer] support pp+tp+zero1 tests (#4531)
* [shardformer] fix opt test hanging * fix * test * test * test * fix test * fix test * remove print * add fix * [shardformer] pp+tp+zero1 [shardformer] pp+tp+zero1 [shardformer] pp+tp+zero1 [shardformer] pp+tp+zero1 [shardformer] pp+tp+zero1 [shardformer] pp+tp+zero1 * [shardformer] pp+tp+zero1 * [shardformer] pp+tp+zero1 * [shardformer] pp+tp+zero1 * [shardformer] pp+tp+zero1 |
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d367b88785
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[shardformer] fix opt test hanging (#4521)
* [shardformer] fix opt test hanging * fix * test * test * test * fix test * fix test * remove print * add fix |
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376533a564
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[shardformer] zero1+pp and the corresponding tests (#4517)
* pause * finish pp+zero1 * Update test_shard_vit.py |
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e04436a82a
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[shardformer] tests for 3d parallel (#4493) | |
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1c7df566e2
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[shardformer] support tp+zero for shardformer (#4472)
* support tp+zero/input type cast for hybridplugin * add tp+zero tests * fix bucket arguments |
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8739aa7fa0
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[shardformer] Pipeline/whisper (#4456)
* add some base tests and policies * finish whisper base model * add conditional generation * finish basic tests * whisper * finish whisper * finish whisper * del useless whisper test * fix * add argmin to replace * finish revision |
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6ef33f75aa
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[shardformer] support DDP in HybridPlugin/add tp+dp tests (#4446)
* support DDP for HybridPlugin/add tp+dp tests * add docstring for HybridParallelPlugin |
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172f7fa3cf | [misc] resolve code factor issues (#4433) | |
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328a791d10 |
[shardformer] update bloom/llama/vit/chatglm tests (#4420)
[shardformer] update bloom/llama/vit/chatglm tests [shardformer] update opt tests [shardformer] update opt tests [shardformer] update bloom/llama/vit/chatglm tests [shardformer] update bloom/llama/vit/chatglm tests [shardformer] update bloom/llama/vit/chatglm tests |
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7711bd524a |
[shardformer] rewrite tests for opt/bloom/llama/vit/chatglm (#4395)
* rewrite opt tests * rewrite llama tests * rewrite bloom & vit tests * rewrite chatglm tests * fix LinearCol for classfiers * add judge for other tp layers, fix lazy init in util |
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906426cb44 |
[Shardformer] Merge flash attention branch to pipeline branch (#4362)
* [shardformer] supported flash attention test dependency (#4158) * [shardformer] fix flash attention utils test (#4180) * [shardformer] opt support flash attention (#4163) * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] move to modeling * [shardformer] move to modeling * [shardformer] add performance benchmark of shardformer (#4175) * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] benchmark fix * [shardformer] benchmark fix * [shardformer] llama support flash attention (#4185) * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] move to modeling * [shardformer] move to modeling * [shardformer] llama support flash attention * [shardformer] llama support flash attention * [shardformer] Move the import statement for xformer outside the forward function. * [shardformer] gpt2 support flash attention. (#4191) * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] move to modeling * [shardformer] move to modeling * [shardformer] gpt2 support flash attention * [shardformer] gpt2 support flash attention * [shardformer] gpt2 support flash attention * [shardformer] bloom support flash attention (#4188) * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] move to modeling * [shardformer] move to modeling * [shardformer] bloom suport flash attention * [shardformer] add assert to sequence length * [shardformer] fix * [shardformer] fix * [shardformer] fix * [shardformer] bert support flash attention. (#4206) * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] move to modeling * [shardformer] move to modeling * [shardformer] bert support flash attention * [shardformer] t5 support flash attention. (#4216) * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] move to modeling * [shardformer] move to modeling * [shardformer] t5 support flash attention * [shardformer] t5 support flash attention * fix typo * fix typo * fix typo * fix typo * fix typo * fix typo * [shardformer] support 'paddedcausal' type of attention mask in Coloattention. (#4215) * added padded causal attn mask type for ColoAttention * [shardformer]t5 flash attention fix (#4239) * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] move to modeling * [shardformer] move to modeling * [shardformer] t5 flash attention fix * [shardformer] update gpt2 to use coloattention. (#4234) * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] move to modeling * [shardformer] move to modeling * [shardformer] update gpt2 to use coloattention * [shardformer] update gpt2 to use coloattention * [shardformer] update gpt2 to use coloattention * [shardformer] update gpt2 to use coloattention * [shardformer] update gpt2 * [shardformer] update opt and llama to use coloattention. (#4226) * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] move to modeling * [shardformer] move to modeling * update opt to use coloattention * [shardformer]update opt to use coloattention * [shardformer]update opt to use coloattention * [shardformer]update opt to use coloattention * [shardformer]update opt to use coloattention * [shardformer]update opt to use coloattention * [shardformer]update opt to use coloattention * [shardformer]update opt * [shardformer] shardformer support jit fused operator. (#4236) * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] opt support flash attention * [shardformer] move to modeling * [shardformer] move to modeling * [shardformer] bloom support jit fused operator * [shardformer] bloom support jit fused operator * [shardformer] bloom support jit fused operator * [shardformer] t5 support jit fused operator * [shardformer] t5 support jit fused operator * [shardformer] t5 support jit fused operator * [shardformer] add roadmap of flash attention * [shardformer] add roadmap of flash attention * [shardformer] add roadmap of flash attention * [shardformer] add type hint to 'self' param of forward * [shardformer] merge feature/shardformer-models branch to feature/flash-attention-shardformer branch. (#4290) * Feature/vit support (#4182) * [shardformer] added tests * [shardformer] vit test finish and support * fix attention dropout * [shardformer] support SAM (#4231) * 1.support sam 2.add fused qkv for nn.Linear * update utils support set element in list * overtwrite SamVisionAttention foward to use DropoutForParallelInput * remove unused code * [shardformer] support whisper (#4212) * support whisper * fix bug in vocabembedding * support downstream model of whisper * update readme * Feature/chatglm (#4240) * [shardformer] added tests * [shardformer] vit test finish and support * [shardformer] chatglm ready * import chatglm * [shardformer] add test kit in model zoo for chatglm * [sharformer] add first version of policy of chatglm * [shardformer] polish chatglm code * [shardformer] polish code * [shardformer] support chatglm without layernorm * [shardformer] chatglm shard without mlp sharding * [shardformer] delete some file * [shardformer] ChatGLM support layernorm sharding * [shardformer] register without auto policy * [shardformer] pre-commit check files * [shardformer] fix chatglm configuration with pre-commit --------- Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com> Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com> * [shardformer] whisper support flash attention (#4301) * Feature/vit support (#4182) * [shardformer] added tests * [shardformer] vit test finish and support * fix attention dropout * [shardformer] support SAM (#4231) * 1.support sam 2.add fused qkv for nn.Linear * update utils support set element in list * overtwrite SamVisionAttention foward to use DropoutForParallelInput * remove unused code * [shardformer] support whisper (#4212) * support whisper * fix bug in vocabembedding * support downstream model of whisper * update readme * Feature/chatglm (#4240) * [shardformer] added tests * [shardformer] vit test finish and support * [shardformer] chatglm ready * import chatglm * [shardformer] add test kit in model zoo for chatglm * [sharformer] add first version of policy of chatglm * [shardformer] polish chatglm code * [shardformer] polish code * [shardformer] support chatglm without layernorm * [shardformer] chatglm shard without mlp sharding * [shardformer] delete some file * [shardformer] ChatGLM support layernorm sharding * [shardformer] register without auto policy * [shardformer] pre-commit check files * [shardformer] fix chatglm configuration with pre-commit * [shardformer] whisper support flash attention * [shardformer] whisper support flash attention * [shardformer]whisper support jit operator --------- Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com> Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com> * [shardformer] sam support flash attention (#4316) * Feature/vit support (#4182) * [shardformer] added tests * [shardformer] vit test finish and support * fix attention dropout * [shardformer] support SAM (#4231) * 1.support sam 2.add fused qkv for nn.Linear * update utils support set element in list * overtwrite SamVisionAttention foward to use DropoutForParallelInput * remove unused code * [shardformer] support whisper (#4212) * support whisper * fix bug in vocabembedding * support downstream model of whisper * update readme * Feature/chatglm (#4240) * [shardformer] added tests * [shardformer] vit test finish and support * [shardformer] chatglm ready * import chatglm * [shardformer] add test kit in model zoo for chatglm * [sharformer] add first version of policy of chatglm * [shardformer] polish chatglm code * [shardformer] polish code * [shardformer] support chatglm without layernorm * [shardformer] chatglm shard without mlp sharding * [shardformer] delete some file * [shardformer] ChatGLM support layernorm sharding * [shardformer] register without auto policy * [shardformer] pre-commit check files * [shardformer] fix chatglm configuration with pre-commit * [shardformer] sam support flash attention --------- Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com> Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com> * [shardformer] merge blip2/chatglm (#4321) * Feature/vit support (#4182) * [shardformer] added tests * [shardformer] vit test finish and support * fix attention dropout * [shardformer] support SAM (#4231) * 1.support sam 2.add fused qkv for nn.Linear * update utils support set element in list * overtwrite SamVisionAttention foward to use DropoutForParallelInput * remove unused code * [shardformer] support whisper (#4212) * support whisper * fix bug in vocabembedding * support downstream model of whisper * update readme * Feature/chatglm (#4240) * [shardformer] added tests * [shardformer] vit test finish and support * [shardformer] chatglm ready * import chatglm * [shardformer] add test kit in model zoo for chatglm * [sharformer] add first version of policy of chatglm * [shardformer] polish chatglm code * [shardformer] polish code * [shardformer] support chatglm without layernorm * [shardformer] chatglm shard without mlp sharding * [shardformer] delete some file * [shardformer] ChatGLM support layernorm sharding * [shardformer] register without auto policy * [shardformer] pre-commit check files * [shardformer] fix chatglm configuration with pre-commit * [shardformer] added tests * [shardformer] vit test finish and support * import chatglm * [shardformer] add test kit in model zoo for chatglm * [sharformer] add first version of policy of chatglm * [shardformer] polish chatglm code * [shardformer] polish code * [shardformer] support chatglm without layernorm * [shardformer] delete some file * [shardformer] ChatGLM support layernorm sharding * [shardformer] register without auto policy * [shardformer] pre-commit check files * [shardformer] support ChatGLMForConditionalGeneration & add fusedlayernorm for vit * [shardformer] support Blip2 (#4243) * support base blip2 * add support for downstream blip2 model * update readme * add forward injection * skip not compatible models test * fix test for gemini and low_level_zero_pugin --------- Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com> Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com> Co-authored-by: klhhhhh <1412841649@qq.com> * [shardformer] blip2 support flash attention and jit operator (#4325) * Feature/vit support (#4182) * [shardformer] added tests * [shardformer] vit test finish and support * fix attention dropout * [shardformer] support SAM (#4231) * 1.support sam 2.add fused qkv for nn.Linear * update utils support set element in list * overtwrite SamVisionAttention foward to use DropoutForParallelInput * remove unused code * [shardformer] support whisper (#4212) * support whisper * fix bug in vocabembedding * support downstream model of whisper * update readme * Feature/chatglm (#4240) * [shardformer] added tests * [shardformer] vit test finish and support * [shardformer] chatglm ready * import chatglm * [shardformer] add test kit in model zoo for chatglm * [sharformer] add first version of policy of chatglm * [shardformer] polish chatglm code * [shardformer] polish code * [shardformer] support chatglm without layernorm * [shardformer] chatglm shard without mlp sharding * [shardformer] delete some file * [shardformer] ChatGLM support layernorm sharding * [shardformer] register without auto policy * [shardformer] pre-commit check files * [shardformer] fix chatglm configuration with pre-commit * [shardformer] added tests * [shardformer] vit test finish and support * import chatglm * [shardformer] add test kit in model zoo for chatglm * [sharformer] add first version of policy of chatglm * [shardformer] polish chatglm code * [shardformer] polish code * [shardformer] support chatglm without layernorm * [shardformer] delete some file * [shardformer] ChatGLM support layernorm sharding * [shardformer] register without auto policy * [shardformer] pre-commit check files * [shardformer] support ChatGLMForConditionalGeneration & add fusedlayernorm for vit * [shardformer] support Blip2 (#4243) * support base blip2 * add support for downstream blip2 model * update readme * add forward injection * skip not compatible models test * fix test for gemini and low_level_zero_pugin * [shardformer] blip2 support flash attention and jit operator * [shardformer] blip2 support flash attention and jit operator * [shardformer] blip2 support flash attention and jit operator --------- Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com> Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com> Co-authored-by: klhhhhh <1412841649@qq.com> * [shardformer] chatglm support flash attention and jit operator (#4330) * Feature/vit support (#4182) * [shardformer] added tests * [shardformer] vit test finish and support * fix attention dropout * [shardformer] support SAM (#4231) * 1.support sam 2.add fused qkv for nn.Linear * update utils support set element in list * overtwrite SamVisionAttention foward to use DropoutForParallelInput * remove unused code * [shardformer] support whisper (#4212) * support whisper * fix bug in vocabembedding * support downstream model of whisper * update readme * Feature/chatglm (#4240) * [shardformer] added tests * [shardformer] vit test finish and support * [shardformer] chatglm ready * import chatglm * [shardformer] add test kit in model zoo for chatglm * [sharformer] add first version of policy of chatglm * [shardformer] polish chatglm code * [shardformer] polish code * [shardformer] support chatglm without layernorm * [shardformer] chatglm shard without mlp sharding * [shardformer] delete some file * [shardformer] ChatGLM support layernorm sharding * [shardformer] register without auto policy * [shardformer] pre-commit check files * [shardformer] fix chatglm configuration with pre-commit * [shardformer] added tests * [shardformer] vit test finish and support * import chatglm * [shardformer] add test kit in model zoo for chatglm * [sharformer] add first version of policy of chatglm * [shardformer] polish chatglm code * [shardformer] polish code * [shardformer] support chatglm without layernorm * [shardformer] delete some file * [shardformer] ChatGLM support layernorm sharding * [shardformer] register without auto policy * [shardformer] pre-commit check files * [shardformer] support ChatGLMForConditionalGeneration & add fusedlayernorm for vit * [shardformer] support Blip2 (#4243) * support base blip2 * add support for downstream blip2 model * update readme * add forward injection * skip not compatible models test * fix test for gemini and low_level_zero_pugin * [shardformer] chatglm support flash attention and jit operator * [shardformer] chatglm support flash attention and jit operator * [shardformer] chatglm support flash attention and jit operator * [shardformer] chatglm support flash attention and jit operator --------- Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com> Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com> Co-authored-by: klhhhhh <1412841649@qq.com> * [shardformer] vit support flash attention and jit operator (#4334) * Feature/vit support (#4182) * [shardformer] added tests * [shardformer] vit test finish and support * fix attention dropout * [shardformer] support SAM (#4231) * 1.support sam 2.add fused qkv for nn.Linear * update utils support set element in list * overtwrite SamVisionAttention foward to use DropoutForParallelInput * remove unused code * [shardformer] support whisper (#4212) * support whisper * fix bug in vocabembedding * support downstream model of whisper * update readme * Feature/chatglm (#4240) * [shardformer] added tests * [shardformer] vit test finish and support * [shardformer] chatglm ready * import chatglm * [shardformer] add test kit in model zoo for chatglm * [sharformer] add first version of policy of chatglm * [shardformer] polish chatglm code * [shardformer] polish code * [shardformer] support chatglm without layernorm * [shardformer] chatglm shard without mlp sharding * [shardformer] delete some file * [shardformer] ChatGLM support layernorm sharding * [shardformer] register without auto policy * [shardformer] pre-commit check files * [shardformer] fix chatglm configuration with pre-commit * [shardformer] added tests * [shardformer] vit test finish and support * import chatglm * [shardformer] add test kit in model zoo for chatglm * [sharformer] add first version of policy of chatglm * [shardformer] polish chatglm code * [shardformer] polish code * [shardformer] support chatglm without layernorm * [shardformer] delete some file * [shardformer] ChatGLM support layernorm sharding * [shardformer] register without auto policy * [shardformer] pre-commit check files * [shardformer] support ChatGLMForConditionalGeneration & add fusedlayernorm for vit * [shardformer] support Blip2 (#4243) * support base blip2 * add support for downstream blip2 model * update readme * add forward injection * skip not compatible models test * fix test for gemini and low_level_zero_pugin * [shardformer] vit support flash attention and jit operator * [shardformer] vit support flash attention and jit operator --------- Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com> Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com> Co-authored-by: klhhhhh <1412841649@qq.com> * [pipeline] merge flash attention branch * [pipeline] merge flash attention branch * [pipeline] merge flash attention branch * [pipeline] fix conflict * [pipeline] fix conflict * Merge branch 'feature/pipeline' into feature/pipeline * Merge branch 'feature/pipeline' into feature/pipeline * Merge branch 'feature/pipeline' into feature/pipeline * activate checks * activate checks * activate checks * activate checks * activate checks * activate checks * activate checks * activate checks * fix flash attention tests * gemini ignore whisper * fix vit * fix xformers import handle --------- Co-authored-by: Frank Lee <somerlee.9@gmail.com> Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com> Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com> Co-authored-by: klhhhhh <1412841649@qq.com> |
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5c6f183192 |
[test] Hotfix/fix some model test and refactor check util api (#4369)
* fix llama test * fix test bug of bert, blip2, bloom, gpt2 * fix llama test * fix opt test * fix sam test * fix sam test * fix t5 test * fix vit test * fix whisper test * fix whisper test * polish code * adjust allclose parameter * Add mistakenly deleted code * addjust allclose * change loss function for some base model |
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d921ce8391 |
[shardformer] support inplace sharding (#4251)
* [shardformer] embedding support inplace sharding * [shardformer] linear support inplace sharding * [shardformer] layernorm support inplace sharding * [shardformer] qkv support inplace sharding * [test] update shardformer layer test * [shardformer] fix shared param sharding * [shardformer] fix bert policy * [shardformer] fix bloom policy * [shardformer] fix llama policy * [shardformer] fix opt policy * [shardformer] fix t5 policy * [shardformer] fix fused qkv linear * [shardformer] fix bugs * force sync * [test] fix bugs * [test] fix transformer version |
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890774b2fb |
[shardformer] support lazy init (#4202)
* [shardformer] support lazy init * [shardformer] linear support lazy init * [shardformer] embedding support lazy init * [shardformer] norm support lazy init * [shardformer] fused linear support lazy init * [test] update shardformer test layer * [test] shardformer with lazy init fit ddp * [lazy] hotfix deepcopy of param * [shardformer] fix bert policy and update test * [shardformer] fix bloom policy and update test * [shardformer] fix opt policy and update test * [shardformer] fix t5 policy and update test * [shardformer] fix gpt2 policy and update test * [shardformer] fix llama policy and update test |
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1fb0d95df0 |
[shardformer] made tensor parallelism configurable (#4144)
* [shardformer] made tensor parallelism configurable * polish code |
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ae035d305d | [shardformer] added embedding gradient check (#4124) | |
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6a88bae4ec | [shardformer] integrate with data parallelism (#4103) | |
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58df720570 |
[shardformer] adapted T5 and LLaMa test to use kit (#4049)
* [shardformer] adapted T5 and LLaMa test to use kit * polish code |
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d857f3dbba | [shardformer] supported T5 and its variants (#4045) | |
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c1d5453e9f | [shardformer] adapted llama to the new API (#4036) | |
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6b30dfb7ce |
[shardformer] support llama model using shardformer (#3969)
adjust layer attr |