v0.2.0

ONNX v0.2.0

Diff since v0.1.1

Closed issues:

• Register v0.1.1 (#23)
• models returned are generic functions, not Flux models (#29)
• Remove DataFlow.jl, use IRTools (#30)
• KeyError: key :TreeEnsembleRegressor not found (#38)
• ] test ONNX fails: Package Test not found in current path [but it is installed) (#40)
• Cannot load any ONNX models - 28 tests fail (#43)
• ERROR: KeyError: key :Gather not found (#52)
• current steps to load model to Flux with ONNX#master (#64)

Merged pull requests:

• Create .gitattributes (#44) (@avik-pal)
• Fresh start (#46) (@dfdx)
• small typo fix (#47) (@EMCP)
• Up ProtoBuf compat to 0.11.1 (#48) (@DrChainsaw)
• Import to Tape (#50) (@dfdx)
• Julia <> ONNX conversions + Conv (#51) (@dfdx)
• Replace PyCall with ONNXRunTime.jl in tests (#54) (@dfdx)
• Mul, Relu, MaxPool (#55) (@dfdx)
• Add Gemm (#56) (@dfdx)
• BatchNormalization (#57) (@dfdx)
• Global average pool (#58) (@dfdx)
• Resnet18 example (#59) (@dfdx)
• Gather (#63) (@dfdx)
• Adjust NNlib version to match that in Flux (#65) (@dfdx)
• Add Unsquezee operation (#66) (@dfdx)
• Add Slice (#67) (@dfdx)
• Represent array size with SVector (#68) (@dfdx)
• Add MatMul (#69) (@dfdx)