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replace PiecewiseDecay, StepDecay, MultiStepDecay, LambdaDecay with 2.0 version #53992
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你的PR提交成功,感谢你对开源项目的贡献! |
❌ The PR is not created using PR's template. You can refer to this Demo. |
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LGTM
@@ -98,6 +98,8 @@ def __init__(self, learning_rate=0.1, last_epoch=-1, verbose=False): | |||
type(learning_rate) | |||
) | |||
) | |||
if learning_rate < 0: |
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这里为什么要补充这个限制呢,和某个API的单测有关吗
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) | ||
for epoch in range(10): | ||
right_result = multi_step_decay( | ||
epoch, learning_rate, milestones, decay_rate | ||
) | ||
fluid_result = adam.current_step_lr() | ||
scheduler.epoch() | ||
fluid_result = adam.get_lr() |
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paddle.optimizer.lr.LRScheduler
本身有test_imperative_optimizer_v2.py这个文件做测试。
目前看,test_learning_rate_scheduler.py这个文件本身是用来测试fluid下LearningRateDecay相关的内容。这个PR中验证通过替换成paddle.optimizer.lr.LRScheduler
后仍然能正确运转即可,后续可以考虑直接移除这个单测文件
Sorry to inform you that f9634c5's CIs have passed for more than 7 days. To prevent PR conflicts, you need to re-run all CIs manually. |
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LGTM
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no doc'c changes. LGTM
b20c0c9
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no doc'c changes. LGTM
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