TinyMaix Integration

Overview

Use this skill to integrate TinyMaix by proving the model, tensor shapes, preprocessing, memory buffers, and target backend before optimizing inference speed. TinyML failures usually come from mismatched input format, quantization, or insufficient memory.

When To Use

Use this skill when:

• The user wants to run TinyMaix on an MCU.
• The issue involves model conversion, tm_load, tm_preprocess, tm_run, tensor dimensions, quantized data, RAM/flash limits, or wrong inference results.
• The target has strict RAM, flash, CPU, or accelerator constraints.

Do not use this skill for full ML framework training or model design beyond embedded deployment checks.

First Questions

Ask for: