2019-03-24 17:22:43 +00:00
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2019-03-24 17:22:43 +00:00
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2019-07-08 15:49:21 +01:00
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< h1 > Source code for torchreid.optim.lr_scheduler< / h1 > < div class = "highlight" > < pre >
< span > < / span > < span class = "kn" > from< / span > < span class = "nn" > __future__< / span > < span class = "k" > import< / span > < span class = "n" > absolute_import< / span >
< span class = "kn" > from< / span > < span class = "nn" > __future__< / span > < span class = "k" > import< / span > < span class = "n" > print_function< / span >
< span class = "kn" > import< / span > < span class = "nn" > torch< / span >
< span class = "n" > AVAI_SCH< / span > < span class = "o" > =< / span > < span class = "p" > [< / span > < span class = "s1" > ' single_step' < / span > < span class = "p" > ,< / span > < span class = "s1" > ' multi_step' < / span > < span class = "p" > ]< / span >
< div class = "viewcode-block" id = "build_lr_scheduler" > < a class = "viewcode-back" href = "../../../pkg/optim.html#torchreid.optim.lr_scheduler.build_lr_scheduler" > [docs]< / a > < span class = "k" > def< / span > < span class = "nf" > build_lr_scheduler< / span > < span class = "p" > (< / span > < span class = "n" > optimizer< / span > < span class = "p" > ,< / span > < span class = "n" > lr_scheduler< / span > < span class = "p" > ,< / span > < span class = "n" > stepsize< / span > < span class = "p" > ,< / span > < span class = "n" > gamma< / span > < span class = "o" > =< / span > < span class = "mf" > 0.1< / span > < span class = "p" > ):< / span >
< span class = "sd" > " " " A function wrapper for building a learning rate scheduler.< / span >
< span class = "sd" > Args:< / span >
< span class = "sd" > optimizer (Optimizer): an Optimizer.< / span >
< span class = "sd" > lr_scheduler (str): learning rate scheduler method. Currently supports< / span >
< span class = "sd" > " single_step" and " multi_step" .< / span >
< span class = "sd" > stepsize (int or list): step size to decay learning rate. When ``lr_scheduler`` is< / span >
< span class = "sd" > " single_step" , ``stepsize`` should be an integer. When ``lr_scheduler`` is< / span >
< span class = "sd" > " multi_step" , ``stepsize`` is a list.< / span >
< span class = "sd" > gamma (float, optional): decay rate. Default is 0.1.< / span >
< span class = "sd" > Examples::< / span >
< span class = "sd" > > > > # Decay learning rate by every 20 epochs.< / span >
< span class = "sd" > > > > scheduler = torchreid.optim.build_lr_scheduler(< / span >
< span class = "sd" > > > > optimizer, lr_scheduler=' single_step' , stepsize=20< / span >
< span class = "sd" > > > > )< / span >
< span class = "sd" > > > > # Decay learning rate at 30, 50 and 55 epochs.< / span >
< span class = "sd" > > > > scheduler = torchreid.optim.build_lr_scheduler(< / span >
< span class = "sd" > > > > optimizer, lr_scheduler=' multi_step' , stepsize=[30, 50, 55]< / span >
< span class = "sd" > > > > )< / span >
< span class = "sd" > " " " < / span >
< span class = "k" > if< / span > < span class = "n" > lr_scheduler< / span > < span class = "ow" > not< / span > < span class = "ow" > in< / span > < span class = "n" > AVAI_SCH< / span > < span class = "p" > :< / span >
< span class = "k" > raise< / span > < span class = "ne" > ValueError< / span > < span class = "p" > (< / span > < span class = "s1" > ' Unsupported scheduler: < / span > < span class = "si" > {}< / span > < span class = "s1" > . Must be one of < / span > < span class = "si" > {}< / span > < span class = "s1" > ' < / span > < span class = "o" > .< / span > < span class = "n" > format< / span > < span class = "p" > (< / span > < span class = "n" > lr_scheduler< / span > < span class = "p" > ,< / span > < span class = "n" > AVAI_SCH< / span > < span class = "p" > ))< / span >
< span class = "k" > if< / span > < span class = "n" > lr_scheduler< / span > < span class = "o" > ==< / span > < span class = "s1" > ' single_step' < / span > < span class = "p" > :< / span >
2019-04-26 15:46:15 +01:00
< span class = "k" > if< / span > < span class = "nb" > isinstance< / span > < span class = "p" > (< / span > < span class = "n" > stepsize< / span > < span class = "p" > ,< / span > < span class = "nb" > list< / span > < span class = "p" > ):< / span >
< span class = "n" > stepsize< / span > < span class = "o" > =< / span > < span class = "n" > stepsize< / span > < span class = "p" > [< / span > < span class = "o" > -< / span > < span class = "mi" > 1< / span > < span class = "p" > ]< / span >
2019-03-24 17:22:43 +00:00
< span class = "k" > if< / span > < span class = "ow" > not< / span > < span class = "nb" > isinstance< / span > < span class = "p" > (< / span > < span class = "n" > stepsize< / span > < span class = "p" > ,< / span > < span class = "nb" > int< / span > < span class = "p" > ):< / span >
< span class = "k" > raise< / span > < span class = "ne" > TypeError< / span > < span class = "p" > (< / span >
< span class = "s1" > ' For single_step lr_scheduler, stepsize must ' < / span >
< span class = "s1" > ' be an integer, but got < / span > < span class = "si" > {}< / span > < span class = "s1" > ' < / span > < span class = "o" > .< / span > < span class = "n" > format< / span > < span class = "p" > (< / span > < span class = "nb" > type< / span > < span class = "p" > (< / span > < span class = "n" > stepsize< / span > < span class = "p" > ))< / span >
< span class = "p" > )< / span >
< span class = "n" > scheduler< / span > < span class = "o" > =< / span > < span class = "n" > torch< / span > < span class = "o" > .< / span > < span class = "n" > optim< / span > < span class = "o" > .< / span > < span class = "n" > lr_scheduler< / span > < span class = "o" > .< / span > < span class = "n" > StepLR< / span > < span class = "p" > (< / span >
< span class = "n" > optimizer< / span > < span class = "p" > ,< / span > < span class = "n" > step_size< / span > < span class = "o" > =< / span > < span class = "n" > stepsize< / span > < span class = "p" > ,< / span > < span class = "n" > gamma< / span > < span class = "o" > =< / span > < span class = "n" > gamma< / span >
< span class = "p" > )< / span >
< span class = "k" > elif< / span > < span class = "n" > lr_scheduler< / span > < span class = "o" > ==< / span > < span class = "s1" > ' multi_step' < / span > < span class = "p" > :< / span >
< span class = "k" > if< / span > < span class = "ow" > not< / span > < span class = "nb" > isinstance< / span > < span class = "p" > (< / span > < span class = "n" > stepsize< / span > < span class = "p" > ,< / span > < span class = "nb" > list< / span > < span class = "p" > ):< / span >
< span class = "k" > raise< / span > < span class = "ne" > TypeError< / span > < span class = "p" > (< / span >
< span class = "s1" > ' For multi_step lr_scheduler, stepsize must ' < / span >
< span class = "s1" > ' be a list, but got < / span > < span class = "si" > {}< / span > < span class = "s1" > ' < / span > < span class = "o" > .< / span > < span class = "n" > format< / span > < span class = "p" > (< / span > < span class = "nb" > type< / span > < span class = "p" > (< / span > < span class = "n" > stepsize< / span > < span class = "p" > ))< / span >
< span class = "p" > )< / span >
< span class = "n" > scheduler< / span > < span class = "o" > =< / span > < span class = "n" > torch< / span > < span class = "o" > .< / span > < span class = "n" > optim< / span > < span class = "o" > .< / span > < span class = "n" > lr_scheduler< / span > < span class = "o" > .< / span > < span class = "n" > MultiStepLR< / span > < span class = "p" > (< / span >
< span class = "n" > optimizer< / span > < span class = "p" > ,< / span > < span class = "n" > milestones< / span > < span class = "o" > =< / span > < span class = "n" > stepsize< / span > < span class = "p" > ,< / span > < span class = "n" > gamma< / span > < span class = "o" > =< / span > < span class = "n" > gamma< / span >
< span class = "p" > )< / span >
< span class = "k" > return< / span > < span class = "n" > scheduler< / span > < / div >
< / pre > < / div >
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