Noether Inference - Key Concepts

Warning

07.01.2026: This is a reference to the original implementation of the inference module and it needs to be adapted according to the new code.

Overview

This module provides a high level access to the inference pipeline. There is also a flexible API that allows to build custom pipelines within user’s workflows.

Key Concepts

• Runner (emmi_inference.runner.InferenceRunner): Preprocesses inputs via collators, moves them to the target device, applies autocast/dtype if requested, and executes the model.

• Writer (emmi_inference.writer.AsyncWriter): Asynchronously writes outputs (tensor / dict / sequence) as .pt/.pth/.th or .npy/.npz files.

We offer the following options to run the inference:

• via CLI

• via Code

Even though it is recommended to use accelerated hardware (GPUs), CPU executions are also possible. It is assumed that there is enough of the RAM available (>=32GB) for AB-UPT like models.