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Optimizers is a Github repository of PyTorch optimization algorithms. It is designed for external collaboration and development.
Currently includes the optimizers:
- Distributed Shampoo
See the CONTRIBUTING file for how to help out.
Optimizers is BSD licensed, as found in the LICENSE file.
This code requires python>=3.8 and (as of 5 May 2023) requires the PyTorch nightly build. Please follow the instructions here to install PyTorch. Installing PyTorch with CUDA and NCCL support is required.
Install distributed_shampoo:
git clone git@github.com:facebookresearch/optimizers.git
cd optimizers
pip install -e .
After installation, basic usage looks like:
import torch
from distributed_shampoo.distributed_shampoo import DistributedShampoo
from distributed_shampoo.shampoo_types import AdamGraftingConfig
model = ... # Instantiate model
optim = DistributedShampoo(
model.parameters(),
lr=1e-3,
betas=(0.9, 0.999),
epsilon=1e-8,
grafting_config=AdamGraftingConfig(
beta2=0.999,
epsilon=1e-8,
),
)
For more, please see the additional documentation here and especially the How to Use section.