- dynamic computation graph (beta)

	- 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

beta 0.2.0.9

- fix quantization tool compiling on Windows
- fix converter compiling on Windows
- fix eltwise optimization on Windows
- separate sse & avx for Windows
- add LeakyReLU support for TensorFlow
- fix reshape, const for TensorFlow
- fix dimension format error for ONNX ops
- optimize winograd, ReLU for OpenCL
- add fp16 availability & dimensions size check-up for OpenCL
- optimize GEMM for arm32
- fix ExpandDims shape calculation when inputs size == 1

beta 0.2.0.8

- 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

beta 0.2.0.7

- move docs to https://www.yuque.com/mnn
- fix bugs for CPU ops TopKV2 and quantized convolution
- add enqueue map buffer error handle for OpenCL
- add nullptr protection for extra tensor desc
- add failure protection for memory acquirement
- fix slice shape calculation
- refactor binary shape calculation

release 0.2.0.6

- 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

beta 0.2.0.5

- CPU
	- add support for DepthToSpace & SpaceToDepth ops
- OpenGL
	- add Android demo
	- add half / float runtime option
	- add support for ROIPooling, Squeeze
	- fix bugs in conv im2col
- OpenCL
	- fix Concat, Eltwise, Reshape bugs
- Tools
	- add KL threshold method in quantization tool
	- support optimization for graph with multiple rnn

beta 0.2.0.4

    - bug fix for quantization tool
    - bug fix/performance update for thread pool
    - bug fix for converters
    - tutorial/doc update
    - more op support

beta 0.2.0.3

- 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

beta 0.2.0.2

- CPU
  - add padding support
  - fix bug in permute when channel % 4 != 0
  - fix bug in exp with extreme value
- OpenCL
  - add protecting logics
- OpenGL
  - add protecting logics
  - support NCHW format in Squeeze and Reshape
- Converter
  - add ShuffleChannel support for Caffe
  - add Clip/Transpose/Unary/Pad supports for ONNX

beta 0.2.0.1

- support both armv7/arm64 in podspec (pod version >= 1.5.0 required)
- refactor neg axis support
- fix memory overlap in de-conv
- fix CONVOLUTION_TILED_NUMBER spell error
- fix few warnings
- add binary / interp / permute / relu / reshape / softmax support and optimize conv for OpenGL backend
- add clean in nmake build script