NNCase v0.2.0 Beta3

Major changes

• Add ONNX importer (thanks to @aclex 's contribution)
• Add fused unary op for uint8 inference
• Add any unary activation fusion for KPU ops
• Add KPU matmul
• Support accelerating dilated conv2d by KPU

Bugs fixes

• Fix a bug in binary ops optimization

NNCase v0.2.0 Beta2

Major changes

• Add L2 based calibration methods
• Support Slice
• Support Mac OS

Bugs fixes

• Fix a bug when compiling multiple outputs model on Linux

Tips

• Beta2 version support tflite and caffe importer

NNCase v0.2.0 Beta1

Major changes

• Add quantized version of Conv2D, MatMul, Binary, ResizeImage ops
• Add Conv2DTranspose op
• Add best fit memory allocation solver (enabled by default, see usage)
• Update documentation

Bugs fixes

• Fix a bug in TFLite Softmax lowering

Tips

• Beta1 version support tflite and caffe importer

NNCase v0.2.0 Alpha2

Major changes

• Add tflite ops lowering: Relu LeakyRelu Logistic

Bugs fixes

• Fix a bug in strided slice codegen
• Fix reduce axis calculation
• Fix shape getter in tflite importer

Tips

• Alpha2 version only support tflite importer

NNCase v0.2.0 Alpha1

Major changes

• Rewrite in C++
• Generate kmodel v4
• Support more ops

Tips

• Alpha1 version only support tflite importer

NNCase Converter v0.1.0 RC5

Major changes

• Add K210 emulator
• Support float inference type

NNCase Converter v0.1.0 RC4

Major changes

• Support Sigmoid
• Add quantized version of ResizeNearestNeighbor
• Support Mean (axis=H,W)

Other changes

• Optimize error message

NNCase Converter v0.1.0 RC3

Major changes

• Support ResizeNearestNeighbor (yolov3)
• Support Flatten
• Support Channelwise quantization for output layers.

NNCase Converter v0.1.0 RC2

Major changes

• Support LeakyRelu
• Use ACIQ to minimize quantization errors

NNCase Converter v0.1.0 RC1

Breaking changes

• Generate kmodel v3
• Drop k210code output, please use k210model instead

Major changes

• Support Add, Concat (resnet, inception-v2)
• Support L2Normalization, Softmax
• Support multiple outputs
• Simplify inference procedure
• Add profiling function