SMPLX/transfer_model/config/optim_defaults.py

# -*- coding: utf-8 -*-

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# Copyright©2020 Max-Planck-Gesellschaft zur Förderung
# der Wissenschaften e.V. (MPG). acting on behalf of its Max Planck Institute
# for Intelligent Systems. All rights reserved.
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# Contact: Vassilis Choutas, [email protected]

from typing import Tuple
from omegaconf import OmegaConf
from dataclasses import dataclass


@dataclass
class LBFGS:
    line_search_fn: str = 'strong_wolfe'
    max_iter: int = 50


@dataclass
class SGD:
    momentum: float = 0.9
    nesterov: bool = True


@dataclass
class ADAM:
    betas: Tuple[float, float] = (0.9, 0.999)
    eps: float = 1e-08
    amsgrad: bool = False


@dataclass
class RMSProp:
    alpha: float = 0.99


@dataclass
class TrustRegionNewtonCG:
    max_trust_radius: float = 1000
    initial_trust_radius: float = 0.05
    eta: float = 0.15
    gtol: float = 1e-05


@dataclass
class OptimConfig:
    type: str = 'trust-ncg'
    lr: float = 1.0
    gtol: float = 1e-8
    ftol: float = -1.0
    maxiters: int = 100

    lbfgs: LBFGS = LBFGS()
    sgd: SGD = SGD()
    adam: ADAM = ADAM()
    trust_ncg: TrustRegionNewtonCG = TrustRegionNewtonCG()


conf = OmegaConf.structured(OptimConfig)