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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] fix optim bwd;
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* [fix] mem assertation'
* [fix] fix mem assertation
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* [fix] add output_obj_grad assert None at bwd b step; replace input_obj.require_grad_ with treemap;
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* [fix] add testcase with microbatch 4;
* hybrid support zbv
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* [npu] setup device utils (#5047)
* [npu] add npu device support
* [npu] support low level zero
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* [hotfix] fix import
* [test] recover tests
* [npu] gemini support npu (#5052)
* [npu] refactor device utils
* [gemini] support npu
* [example] llama2+gemini support npu
* [kernel] add arm cpu adam kernel (#5065)
* [kernel] add arm cpu adam
* [optim] update adam optimizer
* [kernel] arm cpu adam remove bf16 support
* [legacy] move engine to legacy
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* [example] fix seq parallel example
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* [test] test gemini pluging hang
* [test] test gemini pluging hang
* [test] test gemini pluging hang
* [test] test gemini pluging hang
* [example] update seq parallel requirements
* refactor pipeline---put runtime schedule into engine.
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* infer pipeline schedule params from config
* add zero1 (#209)
* add zero1
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* update zero stage 1 develop (#212)
* Implement naive zero3 (#240)
* naive zero3 works well
* add zero3 param manager
* add TODOs in comments
* add gather full param ctx
* fix sub module streams
* add offload
* fix bugs of hook and add unit tests
* fix bugs of hook and add unit tests (#252)
* add gather full param ctx
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* add unit test for Zero3ParameterManager
* [WIP] initialize the shard param class
* [WIP] Yet another sharded model implementation (#274)
* [WIP] initialize the shard param class
* [WIP] Yes another implementation of shardModel. Using a better hook method.
* torch.concat -> torch.cat
* fix test_zero_level_1.py::test_zero_level_1 unitest
* remove deepspeed implementation and refactor for the reconstructed zero module
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* add pipeline shared module wrapper and update load batch
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* Add gradient accumulation, fix lr scheduler
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* Split conv2d, class token, positional embedding in 2d, Fix random number in ddp
Fix convergence in cifar10, Imagenet1000
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* fixed 1D and 2D convergence (#38)
* optimized 2D operations
* fixed 1D ViT convergence problem
* Feature/ddp (#49)
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* use env to control the language of doc (#24) (#25)
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* add an example of ViT-B/16 and remove w_norm clipping in LAMB (#29)
* add explanation for ViT example (#35) (#36)
* support torch ddp
* fix loss accumulation
* add log for ddp
* change seed
* modify timing hook
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* Feature/pipeline (#40)
* remove redundancy func in setup (#19) (#20)
* use env to control the language of doc (#24) (#25)
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* optimized 3d layer to fix slow computation ; tested imagenet performance with 3d; reworked lr_scheduler config definition; fixed launch args; fixed some printing issues; simplified apis of 3d layers (#51)
* Update 2.5d layer code to get a similar accuracy on imagenet-1k dataset
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update api for better usability
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* Add gradient accumulation, fix lr scheduler
* fix FP16 optimizer and adapted torch amp with tensor parallel (#18)
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