metadata

tags:
  - kernel

Optimizer

Optimizer is a python package that provides:

PyTorch implementation of recent optimizer algorithms
with support for parallelism techniques for efficient large-scale training.

Currently implemented

Parallel Muon with FSDP2

Usage

import torch
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
from kernels import get_kernel

optimizer = get_kernel("motif-technologies/optimizer")

model = None # your model here
fsdp_model = FSDP(model)

optim = optimizer.Muon(
    fsdp_model.parameters(),
    lr=0.01,
    momentum=0.9,
    weight_decay=1e-4,
)