/
common_schedule.py
184 lines (157 loc) · 4.23 KB
/
common_schedule.py
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from fvcore.common.param_scheduler import (
MultiStepParamScheduler,
StepParamScheduler,
StepWithFixedGammaParamScheduler,
ConstantParamScheduler,
CosineParamScheduler,
LinearParamScheduler,
ExponentialParamScheduler,
)
from detectron2.config import LazyCall as L
from detectron2.solver import WarmupParamScheduler
def multistep_lr_scheduler(
values=[1.0, 0.1],
warmup_steps=0,
num_updates=90000,
milestones=[82500],
warmup_method="linear",
warmup_factor=0.001,
):
# total steps default to num_updates, if None, will use milestones[-1].
if num_updates is None:
total_steps = milestones[-1]
else:
total_steps = num_updates
# define multi-step scheduler
scheduler = L(MultiStepParamScheduler)(
values=values,
milestones=milestones,
num_updates=num_updates,
)
# wrap with warmup scheduler
return L(WarmupParamScheduler)(
scheduler=scheduler,
warmup_length=warmup_steps / total_steps,
warmup_method=warmup_method,
warmup_factor=warmup_factor,
)
def step_lr_scheduler(
values,
warmup_steps,
num_updates,
warmup_method="linear",
warmup_factor=0.001,
):
# define step scheduler
scheduler = L(StepParamScheduler)(
values=values,
num_updates=num_updates
)
# wrap with warmup scheduler
return L(WarmupParamScheduler)(
scheduler=scheduler,
warmup_length=warmup_steps / num_updates,
warmup_method=warmup_method,
warmup_factor=warmup_factor,
)
def step_lr_scheduler_with_fixed_gamma(
base_value,
num_decays,
gamma,
num_updates,
warmup_steps,
warmup_method="linear",
warmup_factor=0.001,
):
# define step scheduler with fixed gamma
scheduler = L(StepWithFixedGammaParamScheduler)(
base_value=base_value,
num_decays=num_decays,
gamma=gamma,
num_updates=num_updates,
)
# wrap with warmup scheduler
return L(WarmupParamScheduler)(
scheduler=scheduler,
warmup_length=warmup_steps / num_updates,
warmup_method=warmup_method,
warmup_factor=warmup_factor,
)
def cosine_lr_scheduler(
start_value,
end_value,
num_updates,
warmup_steps,
warmup_method="linear",
warmup_factor=0.001,
):
# define cosine scheduler
scheduler = L(CosineParamScheduler)(
start_value=start_value,
end_value=end_value,
)
# wrap with warmup scheduler
return L(WarmupParamScheduler)(
scheduler=scheduler,
warmup_length=warmup_steps / num_updates,
warmup_method=warmup_method,
warmup_factor=warmup_factor,
)
def linear_lr_scheduler(
start_value,
end_value,
num_updates,
warmup_steps,
warmup_method="linear",
warmup_factor=0.001,
):
# define linear scheduler
scheduler = L(LinearParamScheduler)(
start_value=start_value,
end_value=end_value,
)
# wrap with warmup scheduler
return L(WarmupParamScheduler)(
scheduler=scheduler,
warmup_length=warmup_steps / num_updates,
warmup_method=warmup_method,
warmup_factor=warmup_factor,
)
def constant_lr_scheduler(
value,
num_updates,
warmup_steps,
warmup_method="linear",
warmup_factor=0.001,
):
# define constant scheduler
scheduler = L(ConstantParamScheduler)(
value=value
)
# wrap with warmup scheduler
return L(WarmupParamScheduler)(
scheduler=scheduler,
warmup_length=warmup_steps / num_updates,
warmup_method=warmup_method,
warmup_factor=warmup_factor,
)
def exponential_lr_scheduler(
start_value,
decay,
num_updates,
warmup_steps,
warmup_method="linear",
warmup_factor=0.001,
):
# define exponential scheduler
scheduler = L(ExponentialParamScheduler)(
start_value=start_value,
decay=decay,
)
# wrap with warmup scheduler
return L(WarmupParamScheduler)(
scheduler=scheduler,
warmup_length=warmup_steps / num_updates,
warmup_method=warmup_method,
warmup_factor=warmup_factor,
)