cosmos_predict1/tokenizer/training/configs/base/optim.py

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"""optimizer config options:

fused_adam - FusedAdamConfig
adamw - AdamWConfig
"""

import torch

from cosmos_predict1.utils import fused_adam
from cosmos_predict1.utils.lazy_config import PLACEHOLDER
from cosmos_predict1.utils.lazy_config import LazyCall as L
from cosmos_predict1.utils.lazy_config import LazyDict
from cosmos_predict1.utils.scheduler import WarmupCosineLR, WarmupLambdaLR

FusedAdamConfig: LazyDict = L(fused_adam.FusedAdam)(
    capturable=True,
    master_weights=True,
    adam_w_mode=True,
    params=PLACEHOLDER,
    lr=1e-4,
    betas=(0.5, 0.999),
    eps=1e-8,
    weight_decay=0.01,
)

AdamWConfig: LazyDict = L(torch.optim.AdamW)(
    params=PLACEHOLDER,
    lr=1e-4,
    betas=(0.5, 0.999),
    eps=1e-8,
    weight_decay=0.01,
)

WarmupLRConfig: LazyDict = L(WarmupLambdaLR)(optimizer=PLACEHOLDER, warmup=5000)

FusedAdamDiscConfig: LazyDict = L(fused_adam.FusedAdam)(
    capturable=True,
    master_weights=True,
    adam_w_mode=True,
    params=PLACEHOLDER,
    lr=4e-4,
    betas=(0.5, 0.999),
    eps=1e-8,
    weight_decay=0.01,
)

WarmupLRDiscConfig: LazyDict = L(WarmupLambdaLR)(optimizer=PLACEHOLDER, warmup=5000)

WarmupCosineLRConfig: LazyDict = L(WarmupCosineLR)(
    optimizer=PLACEHOLDER, warmup_iters=5000, lr_decay_iters=1000000, min_lr=1e-8
)