minimal.md

minimal.py — Basic Inference Example

Demonstrates the simplest Python-API workflow to load an NNFW model, allocate inputs, run inference, and report success.

Purpose

• Load an .nnpackage model
• Automatically query input tensor shapes
• Allocate zero-filled NumPy arrays for each input
• Perform a single inference call via session.infer(...)
• Print a confirmation message

Usage

python minimal.py /path/to/your_model.nnpackage [backends]

• /path/to/your_model.nnpackage – path to your NNFW package or model file
• backends (optional) – backend string (e.g. "cpu", "gpu"); defaults to "cpu"