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error stop_factor_lr #1

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ghost opened this issue May 1, 2016 · 4 comments
Closed

error stop_factor_lr #1

ghost opened this issue May 1, 2016 · 4 comments

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@ghost
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ghost commented May 1, 2016

Thx your share when I run this model and I found "lr_scheduler = mx.lr_scheduler.FactorScheduler(step=5*max(int(epoch_size * 1), 1), factor=0.8, stop_factor_lr=5e-5),"
error"TypeError: init() got an unexpected keyword argument 'stop_factor_lr'" what does it mean?
and I use your mxnet version

@tornadomeet
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hello,do you rebuild the face mxnet branch and Python interface? stop_factor_lr used when we use factor lr, because factor lr will let lr be smaller and smaller, so stop_factor_lr is the min lr in the whole training.

@csgcmai
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csgcmai commented Jun 14, 2016

I just test last night using the newly build mxnet, i.e., 0.7.0 and found that the stop_factor_lr introduces the error. Maybe I should read the doc for more details.

@tornadomeet
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hello @csgcmai , the latest mxnet has support stop_factor_lr, so do can you post your error here?

@csgcmai
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csgcmai commented Jun 16, 2016

I will run this command later and then post the err msg here. Currently I simply delete that param.

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