* support float32 training
* fix lint
* add adaptation in model/utils.py
* remove some unnecessary code
* fix lint
* feat(optim): add support for fp32 zero
* Revert "Merge pull request #2 from SolenoidWGT/fp32_zero"
This reverts commit 53fc50b0e5, reversing
changes made to 40f24d0a73.
revert commit
* merge develop
* Update utils.py
* support fp32 in zero optimizer
* modify the dtype
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Co-authored-by: wangguoteng.p <wangguoteng925@qq.com>
* style(internlm): fix lint error
* feat(utils/logger.py): support uniscale logger
* fix(utils/logger.py): fix import circular error
* feat(train.py): support dashboard metric panel and fix ci train config
* fix(ci_scripts/train/slurm_train.sh): fix ci train error
* fix(ci_scripts/train/torchrun.sh): fix ci train error
* feat(utils/evaluation.py): support evaluate on validation dataset
* fix(utils/evaluation.py): fix demo error
* fix(ci_scripts/train/ci_7B_sft.py): fix ci train error
* feat(initialize/launch.py): set default value for valid_bsz and valid_every
* fix(ci_scripts/train): restore ci update
* docs(configs/7B_sft.py): update comment for config
* fix(config.json): delete config.json
* fix evaluation bug in scheduler when use_flash_attn=False
* feat(scheduler/no_pipeline_scheduler.py): support micro_bsz>1 in no pp
* modify the jugement in pp and no-pp scheduler
* modify the data_process_func in evaluation
* fix bugs when use_flash_attn=False
* rename symbol
* feat(configs/7B_sft.py): change para valid_bsz to valid_micro_num
* feat(scheduler/no_pipeline_scheduler.py): update para set _grad_accum_batch_size
---------
Co-authored-by: 黄婷 <huangting3@CN0014010744M.local>
Co-authored-by: huangting.p <huangting@sensetime.com>
Co-authored-by: yingtongxiong <974106207@qq.com>
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