Shortcuts

PolyLR

class mmengine.optim.PolyLR(optimizer, *args, **kwargs)[source]

Decays the learning rate of each parameter group in a polynomial decay scheme.

Notice that such decay can happen simultaneously with other changes to the parameter value from outside this scheduler.

Parameters:
  • optimizer (Optimizer or OptimWrapper) – Wrapped optimizer.

  • eta_min (float) – Minimum learning rate at the end of scheduling. Defaults to 0.

  • power (float) – The power of the polynomial. Defaults to 1.0.

  • begin (int) – Step at which to start updating the parameters. Defaults to 0.

  • end (int) – Step at which to stop updating the parameters. Defaults to INF.

  • last_step (int) – The index of last step. Used for resume without state dict. Defaults to -1.

  • by_epoch (bool) – Whether the scheduled parameters are updated by epochs. Defaults to True.

  • verbose (bool) – Whether to print the value for each update. Defaults to False.

Read the Docs v: latest
Versions
latest
stable
v0.10.3
v0.10.2
v0.10.1
v0.10.0
v0.9.1
v0.9.0
v0.8.5
v0.8.4
v0.8.3
v0.8.2
v0.8.1
v0.8.0
v0.7.4
v0.7.3
v0.7.2
v0.7.1
v0.7.0
v0.6.0
v0.5.0
v0.4.0
v0.3.0
v0.2.0
Downloads
epub
On Read the Docs
Project Home
Builds

Free document hosting provided by Read the Docs.