2.2.0

New features

• Add support for separate scale factor for bias.
• Add support for 1D/2D grouped convolutions (incl. depthwise convolutions).
• Add left shift overflow detection when TRAPV_SHIFT is defined and not using CMSIS-NN.
• TorchModelGraph: add support for ReLU6 activation layer.
• TorchModelGraph: add support for operator.add() function in addition to Add layer.
• TorchModelGraph: add support for torch.nn.functional.adaptive_avg_pool2d function.
• TorchModelGraph: add support for torch.flatten() function in addition to Flatten layer.
• Add NucleoL452REP example project using CMake instead of STM32CubeIDE.
• Add common libqualia-neuralnetwork for string to float decoding, quantization of inputs and classification task results, used only for NucleoL452REP CMake project for now.
• Abort compilation in case of unsupported activation function for layer.

Bug fixes

• TorchModelGraph: fix AdaptiveAvgPool1d layer.
• Linux example: fix single.cpp build.
• SparkFunEdge example: fix round-to-nearest support.