lbw-guard 1.1.3

Learn-By-Wire Guard optimizer runtime for PyTorch

LBW_Guard

Learn-By-Wire Guard is a PyTorch optimizer runtime for controlled training workflows.

It provides the public Guard API through the lbw package and supports freemium and licensed editions for evaluation, standard training, and Guard Pro behavior.

Install

pip install LBW_Guard

Requirements:

• Python 3.10+
• PyTorch compatible with your environment

Quick Start

import torch
from lbw import Guard

model = torch.nn.Linear(8, 4)

optimizer = Guard(
    model.parameters(),
    lr=1e-3,
    mode="eval",
)

Editions

• LBW_Guard_Eval: freemium evaluation edition with one visible GPU up to 24 GiB RAM, 5,000 optimizer steps, and a 60-day build-based trial window.
• LBW_Guard_Std: licensed standard edition.
• LBW_Guard_Pro: licensed Guard Pro edition.

Guard Std and Guard Pro require a signed license token.

from lbw import Guard

optimizer = Guard(
    model.parameters(),
    mode="lbw_guard_std",
    license_key=license_token,
)

Public API

Use:

from lbw import Guard

Guard is the supported public interface for LBW_Guard_Eval, LBW_Guard_Std, and LBW_Guard_Pro.

Product Information

• Product: LBW_Guard / Learn-By-Wire Guard
• Company: Qluon Inc.
• Website: https://www.learnbywire.ai
• Company domain: https://qluon.ai
• Support: [e-mail]

Copyright (c) Qluon Inc. All rights reserved.

Licensed under the applicable Qluon license terms.