[HybridParallel]Support fp16 in dygraph hybrid parallel #36420
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… pure_fp16_for_hp
… pure_fp16_for_hp
zhiqiu
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Oct 14, 2021
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use tracer._amp_level==core.AmpLevel.O0 instead of 0
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It is ok to put guard here, but I wonder if it is needed.
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Removing guard will cause diff of precision while broadcasting train_loss. So it is necessary to put guard here.
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I think we can consider make found_if int32 or fp32 originally to avoid these casts afterward.
fuyinno4
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Oct 26, 2021
…imizer (#36707) * fix bugs in HybridParallelClipGrad of hybrid_parallel_optimizer (#36237) * fix bugs in HybridParallelClipGrad of hybrid_parallel_optimizer * update * update * fix bugs in mp_layers、pp_layers and HybridParallelClipGrad (#36144) * fix calling bug of HybridParallelClipGrad * fix bugs of HybridParallelClipGrad * add unittest of pp with HybridParallelClipGrad * fix bugs in mp_layers.py * update * fix bugs in pp_layers.py * update * [HybridParallel]Rebuild code for pipeline (#36396) * add no_sync for parameters sync * add pipeline for moe * [HybridParallel]Support fp16 in dygraph hybrid parallel (#36420) * [HybridParallel]Support fp16 in dygraph hybrid parallel * update * update * update for recompute * add unittest of pp+fp16 * add unittest of recompute+fp16 * update * modify ut * modify ut of cond (#36475) * fix bugs of ClipGradByGlobalNorm in HybridParallel (#36555) * fix bugs of ClipGradByGlobalNorm * add unittests * add unittests * [HybridParallel]fix bug of check_inf in fleet_base.py (#36651) * fix bug of check_inf * fix allreduce * support ClipGradByGlobalNorm in sharding (#36012) * support ClipGradByGlobalNorm in sharding * support ClipGradByGlobalNorm in sharding * test=allcase * Update test_linalg_cond.py * Update hybrid_parallel_util.py * Update hybrid_parallel_util.py Co-authored-by: ShenLiang <1422485404@qq.com> Co-authored-by: zhaoyingli <86812880+zhaoyinglia@users.noreply.github.com>
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[HybridParallel]Support fp16 in dygraph hybrid parallel
单卡FP32与3D混合并行+recompute+FP16的loss曲线精度对比
