0.3.0 release
This release adresses several bugs and brings new features:
What's new?
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The entire pipeline of the Grid Workers has been reviewed and should now be working properly on Ubuntu CPUs/GPUs & MacOS. Ref #81
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The documentation build is now fixed, as all modules & inherited classes are mocked. Thus, no need to handle the dependencies anymore (through
setup.pyorrequirements.txt). Ref #55
The documentation also now handles linking to other docs, such as PyTorch's and NumPy. Ref #56 -
Introducing
miprometheus.helpers: classes that can do a specific task (like splitting in 2 a range of indices) prior to using a worker. Ref #36 -
SamplerFactory: hooks ontorch.utils.data.samplersto instantiate them from the workers. Ref #32 -
Integration of LGTM for code analysis and fixing some of the raised warnings. Ref #45, #57, #43, #44
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Added LeNet5 and cleaned the Image Classification problems. Ref #53
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Some refactoring in
VideoToClassProblemandSequentialMNIST: Ref #71 -
The trainers can load a pretrained model. Ref #42
Misc: