[mthreads] deepspeed llama2#354
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…gos-ai#346) * [kunlunxin] fix tacotron2 running error and add 1x1 & 2x8 config * [kunlunxin] modify tacotron2 test_config * [kunlunxin] update tacotron2 readme * [kunlunxin] modify tacotron2 torch.load()
* update iluvatar/swin_transformer-pytorch * update * update * update * fix batch size mistake in readme * correct val_loss to final acc1 * add finnal_acc1 and mem in readme * correct readme mem --------- Co-authored-by: 魏杰 <jie.wei@iluvatar.com> Co-authored-by: 杨智超 <zhichao.yang@iluvatar.com> Co-authored-by: clveryang <yangclver@gmail.com>
Co-authored-by: zhouyu <zhouyu@baai.ac.cn>
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Co-authored-by: sen.li <sen.li@iluvatar.com>
* Update README.md * Update README.md
* iluvatar bertlarge MLM inference case * update ixrt readme --------- Co-authored-by: 杨智超 <zhichao.yang@iluvatar.com>
yuzhou03
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* support bert_hf fp32/amp/bf16 training for mthreads * update readme * prevent overrun * 1x1/2x8 not support
* support resnet50 training on mthreads * fix typo * support rn50 amp training on mthreads * add test config (should revert this commit) * update config & readme * add get_system_info fn * update * 1x1/2x8 not support --------- Co-authored-by: Zhou Yu <zycosmos@gmail.com>
upvenly
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| def train(model_engine, dataloader): | ||
| model_engine.train() | ||
| device = torch.device('musa:'+str(args.local_rank)) |
| config = LlamaConfig.from_pretrained(model_config_dir) | ||
| config._flash_attn_2_enabled = flashattn | ||
| model = LlamaForCausalLM(config) | ||
| model.gradient_checkpointing_enable() |
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这个地方需要修改成以配置文件控制开关，NV默认关，厂商自行开关。
* fixllama * add t/tflops
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| - ##### 优化策略 | ||
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| - 无 |
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在这里标注一下使用的优化策略，例如
-flash attention（1/2/sdp-attn）
-checkpointing
shh2000
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| datafilename = "openwebtext_llama2_100M.npy" | ||
| epochs = 1 | ||
| theoryflops = 98000000000000.0 | ||
| flashattn = True |
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flashattn=True # using sdp attention
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