Refine clip_by_global_norm#38209
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zhangbo9674 merged 6 commits intoPaddlePaddle:developfrom Dec 27, 2021
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zhwesky2010
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Dec 27, 2021
| if g.dtype == core.VarDesc.VarType.FP16 else clip_var) | ||
| new_grad = layers.elementwise_mul(x=g, y=clip_input) | ||
| params_and_grads.append((p, new_grad)) | ||
| if global_norm_var > max_global_norm: |
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建议在上面把 global_norm_var > max_global_norm 处理为一个bool flag，这样不用在循环里run多次compare OP
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zhwesky2010
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Dec 27, 2021
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PR types
Performance optimization
PR changes
APIs
Describe
优化ClipByGlobalNorm性能：
以10*10的
paddle.nn.Linear为例，重复进行100轮优化，clip_by_global_nrom的调用耗时分析如下：（1）优化前：
（2）优化后：
优化前后耗时比为：0.77/0.54=1.43，优化29.9%。