Releases: FluxML/ONNX.jl
Releases · FluxML/ONNX.jl
v0.2.7
v0.2.6
v0.2.5
ONNX v0.2.5
Merged pull requests:
- CompatHelper: bump compat for NNlib to 0.9, (keep existing compat) (#94) (@github-actions[bot])
v0.2.4
v0.2.3
v0.2.2
ONNX v0.2.2
Closed issues:
- what is ONNX.jl status now? (#60)
- Protobuf 1.0 (#74)
LoadError: AssertionError: Don't understand this multi-output result of the graph
when loading model (#81)- Making tiny_yolov3 load (#83)
- Question about TensorProto (#86)
Merged pull requests:
- Add docs for contributors (#72) (@dfdx)
- Implement Split, Concat, Elu and Tanh (#73) (@Pangoraw)
- Migrate to ProtoBuf v1 (#75) (@dfdx)
- Update Project.toml (#78) (@Moelf)
- add compact helper (#79) (@Moelf)
- CompatHelper: add new compat entry for EnumX at version 1, (keep existing compat) (#80) (@github-actions[bot])
- Fix loading and saving graphs with multiple independent outputs (#82) (@dfdx)
- CompatHelper: bump compat for Umlaut to 0.5, (keep existing compat) (#85) (@github-actions[bot])
v0.2.0
ONNX v0.2.0
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)
v0.1.1
Final changes for 1.0
v0.1.0 Final changes