fluxml / daggerflux.jl Goto Github PK
View Code? Open in Web Editor NEWDistributed computation of differentiation pipelines to use multiple workers, devices, GPU, etc. since Julia wasn't fast enough already
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daggerflux.jl's Issues
Reason for using `Zygote.@adjoint` instead of ChainRules `rrule`
Would it be possible to use ChainRules rrule to allow supporting alternative AD engines?
Don't assume the model is on a CUDA device
Currently, DaggerChain communicates to Dagger that the wrapped model is located on a CUDA GPU, which is not necessarily true (and shouldn't be a requirement anyway). We should provide functions which can move the model to the GPU and communicate the correct location to Dagger, and/or auto-detect where a model currently resides.
Add a License
The compatibility needs to be updated
I am getting this error, when I want to install the package
ERROR: Unsatisfiable requirements detected for package Dagger [d58978e5]:
Dagger [d58978e5] log:
├─possible versions are: 0.6.2-0.16.1 or uninstalled
├─restricted to versions 0.14.4-0.14 by DaggerFlux [30118311], leaving only versions 0.14.4
│ └─DaggerFlux [30118311] log:
│ ├─possible versions are: 0.1.0 or uninstalled
│ └─DaggerFlux [30118311] is fixed to version 0.1.0
└─restricted by compatibility requirements with DaggerGPU [68e73e28] to versions: [0.8.0, 0.10.0-0.10.2, 0.13.3-0.13.7] — no versions left
└─DaggerGPU [68e73e28] log:
├─possible versions are: 0.1.0-0.1.3 or uninstalled
└─restricted to versions 0.1 by DaggerFlux [30118311], leaving only versions 0.1.0-0.1.3
└─DaggerFlux [30118311] log: see aboveRecommend Projects
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