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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Co-authored-by: Michelle <qianranma8@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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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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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Co-authored-by: Edenzzzz <wtan45@wisc.edu>
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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* 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
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* fix
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* Update zero_bubble_pp.py
* fix
* fix-ci
* fix
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fix
* fix
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* fix
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* fix
* fix
* fix
* fix
* fix
* fix
* fix
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* fix
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* fix
* fix
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* [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 test bugs
* add do sample test
* del useless lines
* fix comments
* fix tests
* delete version tag
* delete version tag
* add
* del test sever
* fix test
* fix
* Revert "add"
This reverts commit b9305fb024.
* clean requirements
* modify example inference struct
* add test ci scripts
* mark test_infer as submodule
* rm deprecated cls & deps
* import of HAS_FLASH_ATTN
* prune inference tests to be run
* prune triton kernel tests
* increment pytest timeout mins
* revert import path in openmoe
* optimize flashdecodingattention: refactor code with different key cache layout(from [num_blocks, num_kv_heads, block_size, head_size] to [num_blocks, num_kv_heads, head_size/x, block_size, x])
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* feat flash decoding for paged attention
* refactor flashdecodingattention
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* Adapted to the baichuan2-7B model
* modified according to the review comments.
* Modified the method of obtaining random weights.
* modified according to the review comments.
* change mlp layewr 'NOTE'
* add cuda KVCache kernel
* annotation benchmark_kvcache_copy
* add use cuda
* fix import path
* move benchmark scripts to example/
* rm benchmark codes in test_kv_cache_memcpy.py
* rm redundancy codes
* rm redundancy codes
* pr was modified according to the review
flybird11111