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[AutoParallel] BF16-o1/FP16-o1 PASS support training and generation #51147

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merged 29 commits into from
Mar 22, 2023

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zhaoyinglia
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@zhaoyinglia zhaoyinglia commented Mar 3, 2023

PR types

Others

PR changes

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Describe

  • Support AutoParallel BF16-o1 and FP16-o1 in the training and generation scene.
  • Support Engine dtype convert when the dtype is different between ckpt and current model
  • Add dist_ops to support input_dist_attr is same with output_dist_attr.
  • Fix the conflict between AMP PASS and Sharding Pass
  • Interface of amp
        strategy = auto.Strategy()
        amp = strategy.amp
        amp.dtype = "float16"  # or "bfloat16"
        amp.level = "o1"
        amp.custom_white_list = ['softmax', 'layer_norm', 'gelu']
        amp.custom_black_list = [
            'c_softmax_with_cross_entropy',
            'elementwise_div',
            'reduce_sum',
        ]

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paddle-bot bot commented Mar 3, 2023

你的PR提交成功,感谢你对开源项目的贡献!
请关注后续CI自动化测试结果,详情请参考Paddle-CI手册
Your PR has been submitted. Thanks for your contribution!
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@zhaoyinglia zhaoyinglia changed the title [AutoParallel] support bloom [AutoParallel] BF16-o1/FP16-o1 PASS support training and generation Mar 16, 2023
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@JZ-LIANG JZ-LIANG left a comment

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LGTM

@JZ-LIANG JZ-LIANG merged commit 5cb0f3a into PaddlePaddle:develop Mar 22, 2023
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3 participants