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Merged
merged 3 commits into from
Jan 29, 2023
+2 −2
Merged

Export rand32 and friends #2157

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f6fee64
export rand32, zeros32, ones32
mcabbott Jan 8, 2023
bcb8243
Update train.jl
mcabbott Jan 8, 2023
57cdbe6
also randn32
mcabbott Jan 8, 2023
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2 changes: 1 addition & 1 deletion src/Flux.jl
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Original file line number Diff line number Diff line change
@@ -24,7 +24,7 @@ export Chain, Dense, Embedding, Maxout, SkipConnection, Parallel, PairwiseFusion
AdaptiveMaxPool, AdaptiveMeanPool, GlobalMaxPool, GlobalMeanPool, MaxPool, MeanPool,
Dropout, AlphaDropout, LayerNorm, BatchNorm, InstanceNorm, GroupNorm,
Upsample, PixelShuffle,
fmap, cpu, gpu, f32, f64,
fmap, cpu, gpu, f32, f64, rand32, randn32, zeros32, ones32,
testmode!, trainmode!

include("optimise/Optimise.jl")
2 changes: 1 addition & 1 deletion src/train.jl
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Original file line number Diff line number Diff line change
@@ -27,7 +27,7 @@ It differs from `Optimisers.setup` in that it:

# Example
```jldoctest
julia> model = Dense(2=>1, leakyrelu; init=Flux.ones32);
julia> model = Dense(2=>1, leakyrelu; init=ones32);

julia> opt_state = Flux.setup(Momentum(0.1), model) # this encodes the optimiser and its state
(weight = Leaf(Momentum{Float64}(0.1, 0.9), Float32[0.0 0.0]), bias = Leaf(Momentum{Float64}(0.1, 0.9), Float32[0.0]), σ = ())