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"""PyTorch optimizer builders."""
import argparse
import torch
from espnet.optimizer.factory import OptimizerFactoryInterface
from espnet.optimizer.parser import adadelta
from espnet.optimizer.parser import adam
from espnet.optimizer.parser import sgd
class AdamFactory(OptimizerFactoryInterface):
"""Adam factory."""
@staticmethod
def add_arguments(parser: argparse.ArgumentParser) -> argparse.ArgumentParser:
"""Register args."""
return adam(parser)
@staticmethod
def from_args(target, args: argparse.Namespace):
"""Initialize optimizer from argparse Namespace.
Args:
target: for pytorch `model.parameters()`,
for chainer `model`
args (argparse.Namespace): parsed command-line args
"""
return torch.optim.Adam(
target,
lr=args.lr,
weight_decay=args.weight_decay,
betas=(args.beta1, args.beta2),
)
class SGDFactory(OptimizerFactoryInterface):
"""SGD factory."""
@staticmethod
def add_arguments(parser: argparse.ArgumentParser) -> argparse.ArgumentParser:
"""Register args."""
return sgd(parser)
@staticmethod
def from_args(target, args: argparse.Namespace):
"""Initialize optimizer from argparse Namespace.
Args:
target: for pytorch `model.parameters()`,
for chainer `model`
args (argparse.Namespace): parsed command-line args
"""
return torch.optim.SGD(
target,
lr=args.lr,
weight_decay=args.weight_decay,
)
class AdadeltaFactory(OptimizerFactoryInterface):
"""Adadelta factory."""
@staticmethod
def add_arguments(parser: argparse.ArgumentParser) -> argparse.ArgumentParser:
"""Register args."""
return adadelta(parser)
@staticmethod
def from_args(target, args: argparse.Namespace):
"""Initialize optimizer from argparse Namespace.
Args:
target: for pytorch `model.parameters()`,
for chainer `model`
args (argparse.Namespace): parsed command-line args
"""
return torch.optim.Adadelta(
target,
rho=args.rho,
eps=args.eps,
weight_decay=args.weight_decay,
)
OPTIMIZER_FACTORY_DICT = {
"adam": AdamFactory,
"sgd": SGDFactory,
"adadelta": AdadeltaFactory,
}
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