Error when fitting with CUDA not functional (adding conditional to fix) #4
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3 warnings
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Run julia-actions/julia-docdeploy@v1:
../../../.julia/packages/Flux/Wz6D4/ext/FluxCUDAExt/FluxCUDAExt.jl#L57
Package cuDNN not found in current path.
- Run `import Pkg; Pkg.add("cuDNN")` to install the cuDNN package, then restart julia.
- If cuDNN is not installed, some Flux functionalities will not be available when running on the GPU.
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Run julia-actions/julia-docdeploy@v1:
../../../.julia/packages/Documenter/2OZOh/src/utilities/utilities.jl#L46
18 docstrings not included in the manual:
NeuroTreeModels.entmax15 :: Tuple{Any}
NeuroTreeModels.Metrics.logloss :: Tuple{Any, Any, Any}
NeuroTreeModels.mk_rng :: Tuple{Random.AbstractRNG}
NeuroTreeModels.Δ_leaf_weights_kernel! :: NTuple{6, Any}
NeuroTreeModels.ContainerInfer
NeuroTreeModels.StackTree
NeuroTreeModels.Metrics.mae :: Tuple{Any, Any, Any}
ChainRulesCore.rrule :: Tuple{typeof(NeuroTreeModels.leaf_weights!), Any}
NeuroTreeModels.Δ_leaf_weights! :: NTuple{5, Any}
NeuroTreeModels.Metrics.mse :: Tuple{Any, Any, Any}
NeuroTreeModels.DL
NeuroTreeModels.Metrics.mlogloss :: Tuple{Any, Any, Any}
NeuroTreeModels.NeuroTree :: Tuple{}
NeuroTreeModels.leaf_weights! :: Tuple{CUDA.AnyCuArray}
NeuroTreeModels.leaf_weights! :: Tuple{Any}
NeuroTreeModels.Metrics.gaussian_mle :: Union{Tuple{T}, Tuple{T, T, T}} where T<:AbstractFloat
NeuroTreeModels.Metrics.gaussian_mle :: Tuple{Any, Any, Any}
NeuroTreeModels.ContainerTrain
These are docstrings in the checked modules (configured with the modules keyword)
that are not included in canonical @docs or @autodocs blocks.
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Node.js 16 actions are deprecated. Please update the following actions to use Node.js 20: julia-actions/setup-julia@v1, actions/cache@4d4ae6ae148a43d0fd1eda1800170683e9882738, pyTooling/Actions/with-post-step@adef08d3bdef092282614f3b683897cefae82ee3. For more information see: https://github.blog/changelog/2023-09-22-github-actions-transitioning-from-node-16-to-node-20/.
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