Aria v1.6.1

What's New

Aria 1.6.1 improves Keras/HGQ2 input compatibility and generated-project reliability for streaming conversion, including models that expose the singleton channel dimension directly.

• Accepts direct (height, width, 1) Keras inputs and normalizes them to the canonical (height, width) -> Reshape(height, width, 1) streaming interface.
• Handles fusible fixed-point activation quantizers introduced by the hls4ml bit-exact flow without misclassifying a source-homogeneous HGQ2 model as heterogeneous.
• Accepts supplied verification inputs shaped (samples, height, width, 1) and records their canonical (samples, height, width) form.