Main Feature:
1. Add OpenCV API and Numpy API Support
2. Protobuf move into MNN
3. Add more op for torchscript convert
4. Add recompute to speed up geometry compute
5. Add ModuleBasic Test
- add supports (/express)
- add tests
- add benchmarks with it (/benchmark/exprModels)
- Python
- MNN engine and tools were submitted to pip
- available on Windows/macOS/Linux
- Engine/Converter
- add supports for each op benchmarking
- refactor optimizer by separating steps
- CPU
- add supports for Conv3D, Pool3D, ELU, ReverseSequence
- fix ArgMax, Permute, Scale, BinaryOp, Slice, SliceTf
- OpenCL
- add half transform in CPU
- add broadcast supports for binary
- optimize Conv2D, Reshape, Eltwise, Gemm, etc.
- OpenGL
- add sub, real div supports for binary
- add supports for unary
- optimize Conv2D, Reshape
- Vulkan
- add max supports for eltwise
- Metal
- fix metallib missing problem
- Train/Quantization
- use express to refactor training codes
- add NaN check-up
- add quantification support for ScaleAdd Op
- add binary to eltwise optimization
- add console logs for quantization tool
- better document for quantization tool
- replace redundant dimension flags with dimension format
- optimize performance of TensorFlow Lite Quantized Convolution
- fix axis support for ONNX softmax
- fix get performance compile error on Windows
- fix bugs in quantization
- add evaluating tool for quantization
- add ADMM support in quantization
- fix lock in thread pool
- fix fusing for deconv
- fix reshape converting from ONNX to MNN
- turn off blob size checking by default
- add quantization tool & cpu impl & demo/exec
- add thread pool
- add tests
- fix onnx converter tensor name mismatch
- optimize cpu performance with SSE for windows