build based on b6a5dd7
This commit is contained in:
zeptodoctor
parent
260cbbdac8
commit
169d3d42c2
File diff suppressed because one or more lines are too long
|
|
@ -29,4 +29,4 @@ end
|
|||
|
||||
# train for 10 epochs
|
||||
using IterTools: ncycle
|
||||
Flux.train!(loss, ps, ncycle(train_loader, 10), opt)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/data/dataloader.jl#L13-L54">source</a></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../onehot/">« One-Hot Encoding</a><a class="docs-footer-nextpage" href="../../training/optimisers/">Optimisers »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Wednesday 13 May 2020 06:11">Wednesday 13 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
Flux.train!(loss, ps, ncycle(train_loader, 10), opt)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/data/dataloader.jl#L13-L54">source</a></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../onehot/">« One-Hot Encoding</a><a class="docs-footer-nextpage" href="../../training/optimisers/">Optimisers »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Friday 15 May 2020 17:44">Friday 15 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
|
|
|
|||
|
|
@ -35,11 +35,11 @@ julia> Flux.onehot(:c, [:a, :b, :c])
|
|||
3-element Flux.OneHotVector:
|
||||
0
|
||||
0
|
||||
1</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/onehot.jl#L45-L67">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.onecold" href="#Flux.onecold"><code>Flux.onecold</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">onecold(y[, labels = 1:length(y)])</code></pre><p>Inverse operations of <a href="#Flux.onehot"><code>onehot</code></a>.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> Flux.onecold([true, false, false], [:a, :b, :c])
|
||||
1</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/onehot.jl#L45-L67">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.onecold" href="#Flux.onecold"><code>Flux.onecold</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">onecold(y[, labels = 1:length(y)])</code></pre><p>Inverse operations of <a href="#Flux.onehot"><code>onehot</code></a>.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> Flux.onecold([true, false, false], [:a, :b, :c])
|
||||
:a
|
||||
|
||||
julia> Flux.onecold([0.3, 0.2, 0.5], [:a, :b, :c])
|
||||
:c</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/onehot.jl#L102-L115">source</a></section></article><h2 id="Batches-1"><a class="docs-heading-anchor" href="#Batches-1">Batches</a><a class="docs-heading-anchor-permalink" href="#Batches-1" title="Permalink"></a></h2><p><code>onehotbatch</code> creates a batch (matrix) of one-hot vectors, and <code>onecold</code> treats matrices as batches.</p><pre><code class="language-julia">julia> using Flux: onehotbatch
|
||||
:c</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/onehot.jl#L102-L115">source</a></section></article><h2 id="Batches-1"><a class="docs-heading-anchor" href="#Batches-1">Batches</a><a class="docs-heading-anchor-permalink" href="#Batches-1" title="Permalink"></a></h2><p><code>onehotbatch</code> creates a batch (matrix) of one-hot vectors, and <code>onecold</code> treats matrices as batches.</p><pre><code class="language-julia">julia> using Flux: onehotbatch
|
||||
|
||||
julia> onehotbatch([:b, :a, :b], [:a, :b, :c])
|
||||
3×3 Flux.OneHotMatrix:
|
||||
|
|
@ -55,4 +55,4 @@ julia> onecold(ans, [:a, :b, :c])
|
|||
3×3 Flux.OneHotMatrix{Array{Flux.OneHotVector,1}}:
|
||||
0 1 0
|
||||
1 0 1
|
||||
0 0 0</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/onehot.jl#L80-L96">source</a></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../../models/nnlib/">« NNlib</a><a class="docs-footer-nextpage" href="../dataloader/">DataLoader »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Wednesday 13 May 2020 06:11">Wednesday 13 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
0 0 0</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/onehot.jl#L80-L96">source</a></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../../models/nnlib/">« NNlib</a><a class="docs-footer-nextpage" href="../dataloader/">DataLoader »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Friday 15 May 2020 17:44">Friday 15 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
|
|
@ -47,4 +47,4 @@ julia> x |> cpu
|
|||
10-element Array{Float32,1}:
|
||||
0.235164
|
||||
⋮
|
||||
0.192538</code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../training/training/">« Training</a><a class="docs-footer-nextpage" href="../saving/">Saving & Loading »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Wednesday 13 May 2020 06:11">Wednesday 13 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
0.192538</code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../training/training/">« Training</a><a class="docs-footer-nextpage" href="../saving/">Saving & Loading »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Friday 15 May 2020 17:44">Friday 15 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
|
|
@ -24,4 +24,4 @@ Params([[0.66722 0.774872 0.249809; 0.843321 0.403843 0.429232; 0.683525 0.66245
|
|||
)
|
||||
|
||||
ps = Flux.params(m[3:end])</code></pre><p>The <code>Zygote.Params</code> object <code>ps</code> now holds a reference to only the parameters of the layers passed to it.</p><p>During training, the gradients will only be computed for (and applied to) the last <code>Dense</code> layer, therefore only that would have its parameters changed.</p><p><code>Flux.params</code> also takes multiple inputs to make it easy to collect parameters from heterogenous models with a single call. A simple demonstration would be if we wanted to omit optimising the second <code>Dense</code> layer in the previous example. It would look something like this:</p><pre><code class="language-julia">Flux.params(m[1], m[3:end])</code></pre><p>Sometimes, a more fine-tuned control is needed. We can freeze a specific parameter of a specific layer which already entered a <code>Params</code> object <code>ps</code>, by simply deleting it from <code>ps</code>:</p><pre><code class="language-julia">ps = params(m)
|
||||
delete!(ps, m[2].b) </code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../layers/">« Model Reference</a><a class="docs-footer-nextpage" href="../nnlib/">NNlib »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Wednesday 13 May 2020 06:11">Wednesday 13 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
delete!(ps, m[2].b) </code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../layers/">« Model Reference</a><a class="docs-footer-nextpage" href="../nnlib/">NNlib »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Friday 15 May 2020 17:44">Friday 15 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
|
|
|
|||
|
|
@ -109,8 +109,8 @@ model2(rand(10)) # => 2-element vector</code></pre><p>This quickly starts to
|
|||
m(rand(10))</code></pre><p>Likewise, <code>Chain</code> will happily work with any Julia function.</p><pre><code class="language-julia">m = Chain(x -> x^2, x -> x+1)
|
||||
|
||||
m(5) # => 26</code></pre><h2 id="Layer-helpers-1"><a class="docs-heading-anchor" href="#Layer-helpers-1">Layer helpers</a><a class="docs-heading-anchor-permalink" href="#Layer-helpers-1" title="Permalink"></a></h2><p>Flux provides a set of helpers for custom layers, which you can enable by calling</p><pre><code class="language-julia">Flux.@functor Affine</code></pre><p>This enables a useful extra set of functionality for our <code>Affine</code> layer, such as <a href="../../training/optimisers/">collecting its parameters</a> or <a href="../../gpu/">moving it to the GPU</a>.</p><p>For some more helpful tricks, including parameter freezing, please checkout the <a href="../advanced/">advanced usage guide</a>.</p><h2 id="Utility-functions-1"><a class="docs-heading-anchor" href="#Utility-functions-1">Utility functions</a><a class="docs-heading-anchor-permalink" href="#Utility-functions-1" title="Permalink"></a></h2><p>Flux provides some utility functions to help you generate models in an automated fashion.</p><p><code>outdims</code> enables you to calculate the spatial output dimensions of layers like <code>Conv</code> when applied to input images of a given size. Currently limited to the following layers:</p><ul><li><code>Chain</code></li><li><code>Dense</code></li><li><code>Conv</code></li><li><code>Diagonal</code></li><li><code>Maxout</code></li><li><code>ConvTranspose</code></li><li><code>DepthwiseConv</code></li><li><code>CrossCor</code></li><li><code>MaxPool</code></li><li><code>MeanPool</code></li></ul><article class="docstring"><header><a class="docstring-binding" id="Flux.outdims" href="#Flux.outdims"><code>Flux.outdims</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">outdims(c::Chain, isize)</code></pre><p>Calculate the output dimensions given the input dimensions, <code>isize</code>.</p><pre><code class="language-julia">m = Chain(Conv((3, 3), 3 => 16), Conv((3, 3), 16 => 32))
|
||||
outdims(m, (10, 10)) == (6, 6)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/layers/basic.jl#L50-L59">source</a></section><section><div><pre><code class="language-none">outdims(l::Dense, isize)</code></pre><p>Calculate the output dimensions given the input dimensions, <code>isize</code>.</p><pre><code class="language-julia">m = Dense(10, 5)
|
||||
outdims(m, (10, 10)) == (6, 6)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/layers/basic.jl#L50-L59">source</a></section><section><div><pre><code class="language-none">outdims(l::Dense, isize)</code></pre><p>Calculate the output dimensions given the input dimensions, <code>isize</code>.</p><pre><code class="language-julia">m = Dense(10, 5)
|
||||
outdims(m, (5, 2)) == (5,)
|
||||
outdims(m, (10,)) == (5,)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/layers/basic.jl#L139-L149">source</a></section><section><div><pre><code class="language-none">outdims(l::Conv, isize::Tuple)</code></pre><p>Calculate the output dimensions given the input dimensions <code>isize</code>. Batch size and channel size are ignored as per <a href="https://github.com/FluxML/NNlib.jl">NNlib.jl</a>.</p><pre><code class="language-julia">m = Conv((3, 3), 3 => 16)
|
||||
outdims(m, (10,)) == (5,)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/layers/basic.jl#L139-L149">source</a></section><section><div><pre><code class="language-none">outdims(l::Conv, isize::Tuple)</code></pre><p>Calculate the output dimensions given the input dimensions <code>isize</code>. Batch size and channel size are ignored as per <a href="https://github.com/FluxML/NNlib.jl">NNlib.jl</a>.</p><pre><code class="language-julia">m = Conv((3, 3), 3 => 16)
|
||||
outdims(m, (10, 10)) == (8, 8)
|
||||
outdims(m, (10, 10, 1, 3)) == (8, 8)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/layers/conv.jl#L153-L164">source</a></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../../">« Home</a><a class="docs-footer-nextpage" href="../recurrence/">Recurrence »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Wednesday 13 May 2020 06:11">Wednesday 13 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
outdims(m, (10, 10, 1, 3)) == (8, 8)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/layers/conv.jl#L153-L164">source</a></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../../">« Home</a><a class="docs-footer-nextpage" href="../recurrence/">Recurrence »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Friday 15 May 2020 17:44">Friday 15 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
|
|
@ -28,4 +28,4 @@ a = randomly sampled from uniform distribution U(l, u)</code></pre><p>Randomized
|
|||
batched_adjoint(A)</code></pre><p>Equivalent to applying <code>transpose</code> or <code>adjoint</code> to each matrix <code>A[:,:,k]</code>.</p><p>These exist to control how <code>batched_mul</code> behaves, as it operated on such matrix slices of an array with <code>ndims(A)==3</code>.</p><pre><code class="language-none">BatchedTranspose{T, N, S} <: AbstractBatchedMatrix{T, N}
|
||||
BatchedAdjoint{T, N, S}</code></pre><p>Lazy wrappers analogous to <code>Transpose</code> and <code>Adjoint</code>, returned by <code>batched_transpose</code></p></div></section></article><article class="docstring"><header><a class="docstring-binding" id="NNlib.batched_transpose" href="#NNlib.batched_transpose"><code>NNlib.batched_transpose</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">batched_transpose(A::AbstractArray{T,3})
|
||||
batched_adjoint(A)</code></pre><p>Equivalent to applying <code>transpose</code> or <code>adjoint</code> to each matrix <code>A[:,:,k]</code>.</p><p>These exist to control how <code>batched_mul</code> behaves, as it operated on such matrix slices of an array with <code>ndims(A)==3</code>.</p><pre><code class="language-none">BatchedTranspose{T, N, S} <: AbstractBatchedMatrix{T, N}
|
||||
BatchedAdjoint{T, N, S}</code></pre><p>Lazy wrappers analogous to <code>Transpose</code> and <code>Adjoint</code>, returned by <code>batched_transpose</code></p></div></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../advanced/">« Advanced Model Building</a><a class="docs-footer-nextpage" href="../../data/onehot/">One-Hot Encoding »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Wednesday 13 May 2020 06:11">Wednesday 13 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
BatchedAdjoint{T, N, S}</code></pre><p>Lazy wrappers analogous to <code>Transpose</code> and <code>Adjoint</code>, returned by <code>batched_transpose</code></p></div></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../advanced/">« Advanced Model Building</a><a class="docs-footer-nextpage" href="../../data/onehot/">One-Hot Encoding »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Friday 15 May 2020 17:44">Friday 15 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
|
|
|
|||
|
|
@ -39,4 +39,4 @@ m = Flux.Recur(rnn, h)
|
|||
|
||||
y = m(x)</code></pre><p>The <code>Recur</code> wrapper stores the state between runs in the <code>m.state</code> field.</p><p>If you use the <code>RNN(10, 5)</code> constructor – as opposed to <code>RNNCell</code> – you'll see that it's simply a wrapped cell.</p><pre><code class="language-julia">julia> RNN(10, 5)
|
||||
Recur(RNNCell(10, 5, tanh))</code></pre><h2 id="Sequences-1"><a class="docs-heading-anchor" href="#Sequences-1">Sequences</a><a class="docs-heading-anchor-permalink" href="#Sequences-1" title="Permalink"></a></h2><p>Often we want to work with sequences of inputs, rather than individual <code>x</code>s.</p><pre><code class="language-julia">seq = [rand(10) for i = 1:10]</code></pre><p>With <code>Recur</code>, applying our model to each element of a sequence is trivial:</p><pre><code class="language-julia">m.(seq) # returns a list of 5-element vectors</code></pre><p>This works even when we've chain recurrent layers into a larger model.</p><pre><code class="language-julia">m = Chain(LSTM(10, 15), Dense(15, 5))
|
||||
m.(seq)</code></pre><p>Finally, we can reset the hidden state of the cell back to its initial value using <code>reset!(m)</code>.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../basics/">« Basics</a><a class="docs-footer-nextpage" href="../regularisation/">Regularisation »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Wednesday 13 May 2020 06:11">Wednesday 13 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
m.(seq)</code></pre><p>Finally, we can reset the hidden state of the cell back to its initial value using <code>reset!(m)</code>.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../basics/">« Basics</a><a class="docs-footer-nextpage" href="../regularisation/">Regularisation »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Friday 15 May 2020 17:44">Friday 15 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
|
|
|
|||
|
|
@ -36,4 +36,4 @@ julia> activations(c, rand(10))
|
|||
Float32[0.5192045, 0.48079553]
|
||||
|
||||
julia> sum(norm, ans)
|
||||
2.1166067f0</code></pre><article class="docstring"><header><a class="docstring-binding" id="Flux.activations" href="#Flux.activations"><code>Flux.activations</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">activations(c::Chain, input)</code></pre><p>Calculate the forward results of each layers in Chain <code>c</code> with <code>input</code> as model input.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/layers/basic.jl#L67-L71">source</a></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../recurrence/">« Recurrence</a><a class="docs-footer-nextpage" href="../layers/">Model Reference »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Wednesday 13 May 2020 06:11">Wednesday 13 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
2.1166067f0</code></pre><article class="docstring"><header><a class="docstring-binding" id="Flux.activations" href="#Flux.activations"><code>Flux.activations</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">activations(c::Chain, input)</code></pre><p>Calculate the forward results of each layers in Chain <code>c</code> with <code>input</code> as model input.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/layers/basic.jl#L67-L71">source</a></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../recurrence/">« Recurrence</a><a class="docs-footer-nextpage" href="../layers/">Model Reference »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Friday 15 May 2020 17:44">Friday 15 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
|
|
|
|||
|
|
@ -17,4 +17,4 @@ y_batch = reduce(hcat, ys)
|
|||
function loss_total(x_batch::Matrix, y_batch::Matrix)
|
||||
y_preds = model(x_batch)
|
||||
sum(loss.(y_preds, y_batch))
|
||||
end</code></pre><p>When doing this kind of concatenation use <code>reduce(hcat, xs)</code> rather than <code>hcat(xs...)</code>. This will avoid the splatting penalty, and will hit the optimised <code>reduce</code> method.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../utilities/">« Utility Functions</a><a class="docs-footer-nextpage" href="../datasets/">Datasets »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Wednesday 13 May 2020 06:11">Wednesday 13 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
end</code></pre><p>When doing this kind of concatenation use <code>reduce(hcat, xs)</code> rather than <code>hcat(xs...)</code>. This will avoid the splatting penalty, and will hit the optimised <code>reduce</code> method.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../utilities/">« Utility Functions</a><a class="docs-footer-nextpage" href="../datasets/">Datasets »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Friday 15 May 2020 17:44">Friday 15 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
|
|
|
|||
|
|
@ -47,4 +47,4 @@ evalcb = throttle(30) do
|
|||
# Show loss
|
||||
@save "model-checkpoint.bson" model
|
||||
end</code></pre><p>This will update the <code>"model-checkpoint.bson"</code> file every thirty seconds.</p><p>You can get more advanced by saving a series of models throughout training, for example</p><pre><code class="language-julia">@save "model-$(now()).bson" model</code></pre><p>will produce a series of models like <code>"model-2018-03-06T02:57:10.41.bson"</code>. You could also store the current test set loss, so that it's easy to (for example) revert to an older copy of the model if it starts to overfit.</p><pre><code class="language-julia">@save "model-$(now()).bson" model loss = testloss()</code></pre><p>You can even store optimiser state alongside the model, to resume training exactly where you left off.</p><pre><code class="language-julia">opt = ADAM()
|
||||
@save "model-$(now()).bson" model opt</code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../gpu/">« GPU Support</a><a class="docs-footer-nextpage" href="../ecosystem/">The Julia Ecosystem »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Wednesday 13 May 2020 06:11">Wednesday 13 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
@save "model-$(now()).bson" model opt</code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../gpu/">« GPU Support</a><a class="docs-footer-nextpage" href="../ecosystem/">The Julia Ecosystem »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Friday 15 May 2020 17:44">Friday 15 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
|
|
|
|||
|
|
@ -6,4 +6,4 @@ m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
|
|||
|
||||
ga('create', 'UA-36890222-9', 'auto');
|
||||
ga('send', 'pageview', {'page': location.pathname + location.search + location.hash});
|
||||
</script><link href="https://fonts.googleapis.com/css?family=Lato|Roboto+Mono" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.11.2/css/fontawesome.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.11.2/css/solid.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.11.2/css/brands.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.11.1/katex.min.css" rel="stylesheet" type="text/css"/><script>documenterBaseURL=".."</script><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.6/require.min.js" data-main="../assets/documenter.js"></script><script src="../siteinfo.js"></script><script src="../../versions.js"></script><link href="../assets/flux.css" rel="stylesheet" type="text/css"/><link class="docs-theme-link" rel="stylesheet" type="text/css" href="../assets/themes/documenter-dark.css" data-theme-name="documenter-dark"/><link class="docs-theme-link" rel="stylesheet" type="text/css" href="../assets/themes/documenter-light.css" data-theme-name="documenter-light" data-theme-primary/><script src="../assets/themeswap.js"></script></head><body><div id="documenter"><nav class="docs-sidebar"><div class="docs-package-name"><span class="docs-autofit">Flux</span></div><form class="docs-search" action><input class="docs-search-query" id="documenter-search-query" name="q" type="text" placeholder="Search docs"/></form><ul class="docs-menu"><li><a class="tocitem" href="../">Home</a></li><li><span class="tocitem">Building Models</span><ul><li><a class="tocitem" href="../models/basics/">Basics</a></li><li><a class="tocitem" href="../models/recurrence/">Recurrence</a></li><li><a class="tocitem" href="../models/regularisation/">Regularisation</a></li><li><a class="tocitem" href="../models/layers/">Model Reference</a></li><li><a class="tocitem" href="../models/advanced/">Advanced Model Building</a></li><li><a class="tocitem" href="../models/nnlib/">NNlib</a></li></ul></li><li><span class="tocitem">Handling Data</span><ul><li><a class="tocitem" href="../data/onehot/">One-Hot Encoding</a></li><li><a class="tocitem" href="../data/dataloader/">DataLoader</a></li></ul></li><li><span class="tocitem">Training Models</span><ul><li><a class="tocitem" href="../training/optimisers/">Optimisers</a></li><li><a class="tocitem" href="../training/training/">Training</a></li></ul></li><li><a class="tocitem" href="../gpu/">GPU Support</a></li><li><a class="tocitem" href="../saving/">Saving & Loading</a></li><li><a class="tocitem" href="../ecosystem/">The Julia Ecosystem</a></li><li><a class="tocitem" href="../utilities/">Utility Functions</a></li><li><a class="tocitem" href="../performance/">Performance Tips</a></li><li><a class="tocitem" href="../datasets/">Datasets</a></li><li><a class="tocitem" href="../community/">Community</a></li></ul><div class="docs-version-selector field has-addons"><div class="control"><span class="docs-label button is-static is-size-7">Version</span></div><div class="docs-selector control is-expanded"><div class="select is-fullwidth is-size-7"><select id="documenter-version-selector"></select></div></div></div></nav><div class="docs-main"><header class="docs-navbar"><nav class="breadcrumb"><ul class="is-hidden-mobile"><li class="is-active"><a href>Search</a></li></ul><ul class="is-hidden-tablet"><li class="is-active"><a href>Search</a></li></ul></nav><div class="docs-right"><a class="docs-settings-button fas fa-cog" id="documenter-settings-button" href="#" title="Settings"></a><a class="docs-sidebar-button fa fa-bars is-hidden-desktop" id="documenter-sidebar-button" href="#"></a></div></header><article><p id="documenter-search-info">Loading search...</p><ul id="documenter-search-results"></ul></article></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Wednesday 13 May 2020 06:11">Wednesday 13 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body><script src="../search_index.js"></script><script src="../assets/search.js"></script></html>
|
||||
</script><link href="https://fonts.googleapis.com/css?family=Lato|Roboto+Mono" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.11.2/css/fontawesome.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.11.2/css/solid.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.11.2/css/brands.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.11.1/katex.min.css" rel="stylesheet" type="text/css"/><script>documenterBaseURL=".."</script><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.6/require.min.js" data-main="../assets/documenter.js"></script><script src="../siteinfo.js"></script><script src="../../versions.js"></script><link href="../assets/flux.css" rel="stylesheet" type="text/css"/><link class="docs-theme-link" rel="stylesheet" type="text/css" href="../assets/themes/documenter-dark.css" data-theme-name="documenter-dark"/><link class="docs-theme-link" rel="stylesheet" type="text/css" href="../assets/themes/documenter-light.css" data-theme-name="documenter-light" data-theme-primary/><script src="../assets/themeswap.js"></script></head><body><div id="documenter"><nav class="docs-sidebar"><div class="docs-package-name"><span class="docs-autofit">Flux</span></div><form class="docs-search" action><input class="docs-search-query" id="documenter-search-query" name="q" type="text" placeholder="Search docs"/></form><ul class="docs-menu"><li><a class="tocitem" href="../">Home</a></li><li><span class="tocitem">Building Models</span><ul><li><a class="tocitem" href="../models/basics/">Basics</a></li><li><a class="tocitem" href="../models/recurrence/">Recurrence</a></li><li><a class="tocitem" href="../models/regularisation/">Regularisation</a></li><li><a class="tocitem" href="../models/layers/">Model Reference</a></li><li><a class="tocitem" href="../models/advanced/">Advanced Model Building</a></li><li><a class="tocitem" href="../models/nnlib/">NNlib</a></li></ul></li><li><span class="tocitem">Handling Data</span><ul><li><a class="tocitem" href="../data/onehot/">One-Hot Encoding</a></li><li><a class="tocitem" href="../data/dataloader/">DataLoader</a></li></ul></li><li><span class="tocitem">Training Models</span><ul><li><a class="tocitem" href="../training/optimisers/">Optimisers</a></li><li><a class="tocitem" href="../training/training/">Training</a></li></ul></li><li><a class="tocitem" href="../gpu/">GPU Support</a></li><li><a class="tocitem" href="../saving/">Saving & Loading</a></li><li><a class="tocitem" href="../ecosystem/">The Julia Ecosystem</a></li><li><a class="tocitem" href="../utilities/">Utility Functions</a></li><li><a class="tocitem" href="../performance/">Performance Tips</a></li><li><a class="tocitem" href="../datasets/">Datasets</a></li><li><a class="tocitem" href="../community/">Community</a></li></ul><div class="docs-version-selector field has-addons"><div class="control"><span class="docs-label button is-static is-size-7">Version</span></div><div class="docs-selector control is-expanded"><div class="select is-fullwidth is-size-7"><select id="documenter-version-selector"></select></div></div></div></nav><div class="docs-main"><header class="docs-navbar"><nav class="breadcrumb"><ul class="is-hidden-mobile"><li class="is-active"><a href>Search</a></li></ul><ul class="is-hidden-tablet"><li class="is-active"><a href>Search</a></li></ul></nav><div class="docs-right"><a class="docs-settings-button fas fa-cog" id="documenter-settings-button" href="#" title="Settings"></a><a class="docs-sidebar-button fa fa-bars is-hidden-desktop" id="documenter-sidebar-button" href="#"></a></div></header><article><p id="documenter-search-info">Loading search...</p><ul id="documenter-search-results"></ul></article></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Friday 15 May 2020 17:44">Friday 15 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body><script src="../search_index.js"></script><script src="../assets/search.js"></script></html>
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
|
|
@ -24,7 +24,7 @@ julia> Flux.unsqueeze([1 2; 3 4], 2)
|
|||
|
||||
[:, :, 2] =
|
||||
2
|
||||
4</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/utils.jl#L46-L74">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.stack" href="#Flux.stack"><code>Flux.stack</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">stack(xs, dim)</code></pre><p>Concatenate the given <code>Array</code> of <code>Array</code>s <code>xs</code> into a single <code>Array</code> along the given dimension <code>dim</code>.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> xs = [[1, 2], [3, 4], [5, 6]]
|
||||
4</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/utils.jl#L46-L74">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.stack" href="#Flux.stack"><code>Flux.stack</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">stack(xs, dim)</code></pre><p>Concatenate the given <code>Array</code> of <code>Array</code>s <code>xs</code> into a single <code>Array</code> along the given dimension <code>dim</code>.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> xs = [[1, 2], [3, 4], [5, 6]]
|
||||
3-element Array{Array{Int64,1},1}:
|
||||
[1, 2]
|
||||
[3, 4]
|
||||
|
|
@ -40,12 +40,12 @@ julia> cat(xs, dims=1)
|
|||
3-element Array{Array{Int64,1},1}:
|
||||
[1, 2]
|
||||
[3, 4]
|
||||
[5, 6]</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/utils.jl#L77-L103">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.unstack" href="#Flux.unstack"><code>Flux.unstack</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">unstack(xs, dim)</code></pre><p>Unroll the given <code>xs</code> into an <code>Array</code> of <code>Array</code>s along the given dimension <code>dim</code>.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> Flux.unstack([1 3 5 7; 2 4 6 8], 2)
|
||||
[5, 6]</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/utils.jl#L77-L103">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.unstack" href="#Flux.unstack"><code>Flux.unstack</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">unstack(xs, dim)</code></pre><p>Unroll the given <code>xs</code> into an <code>Array</code> of <code>Array</code>s along the given dimension <code>dim</code>.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> Flux.unstack([1 3 5 7; 2 4 6 8], 2)
|
||||
4-element Array{Array{Int64,1},1}:
|
||||
[1, 2]
|
||||
[3, 4]
|
||||
[5, 6]
|
||||
[7, 8]</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/utils.jl#L106-L120">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.chunk" href="#Flux.chunk"><code>Flux.chunk</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">chunk(xs, n)</code></pre><p>Split <code>xs</code> into <code>n</code> parts.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> Flux.chunk(1:10, 3)
|
||||
[7, 8]</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/utils.jl#L106-L120">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.chunk" href="#Flux.chunk"><code>Flux.chunk</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">chunk(xs, n)</code></pre><p>Split <code>xs</code> into <code>n</code> parts.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> Flux.chunk(1:10, 3)
|
||||
3-element Array{UnitRange{Int64},1}:
|
||||
1:4
|
||||
5:8
|
||||
|
|
@ -55,18 +55,18 @@ julia> Flux.chunk(collect(1:10), 3)
|
|||
3-element Array{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},1}:
|
||||
[1, 2, 3, 4]
|
||||
[5, 6, 7, 8]
|
||||
[9, 10]</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/utils.jl#L123-L142">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.frequencies" href="#Flux.frequencies"><code>Flux.frequencies</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">frequencies(xs)</code></pre><p>Count the number of times that each element of <code>xs</code> appears.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> Flux.frequencies(['a','b','b'])
|
||||
[9, 10]</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/utils.jl#L123-L142">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.frequencies" href="#Flux.frequencies"><code>Flux.frequencies</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">frequencies(xs)</code></pre><p>Count the number of times that each element of <code>xs</code> appears.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> Flux.frequencies(['a','b','b'])
|
||||
Dict{Char,Int64} with 2 entries:
|
||||
'a' => 1
|
||||
'b' => 2</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/utils.jl#L147-L159">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.batch" href="#Flux.batch"><code>Flux.batch</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">batch(xs)</code></pre><p>Batch the arrays in <code>xs</code> into a single array.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> Flux.batch([[1,2,3],[4,5,6]])
|
||||
'b' => 2</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/utils.jl#L147-L159">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.batch" href="#Flux.batch"><code>Flux.batch</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">batch(xs)</code></pre><p>Batch the arrays in <code>xs</code> into a single array.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> Flux.batch([[1,2,3],[4,5,6]])
|
||||
3×2 Array{Int64,2}:
|
||||
1 4
|
||||
2 5
|
||||
3 6</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/utils.jl#L172-L185">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.batchseq" href="#Flux.batchseq"><code>Flux.batchseq</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">batchseq(seqs, pad)</code></pre><p>Take a list of <code>N</code> sequences, and turn them into a single sequence where each item is a batch of <code>N</code>. Short sequences will be padded by <code>pad</code>.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> Flux.batchseq([[1, 2, 3], [4, 5]], 0)
|
||||
3 6</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/utils.jl#L172-L185">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.batchseq" href="#Flux.batchseq"><code>Flux.batchseq</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">batchseq(seqs, pad)</code></pre><p>Take a list of <code>N</code> sequences, and turn them into a single sequence where each item is a batch of <code>N</code>. Short sequences will be padded by <code>pad</code>.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> Flux.batchseq([[1, 2, 3], [4, 5]], 0)
|
||||
3-element Array{Array{Int64,1},1}:
|
||||
[1, 4]
|
||||
[2, 5]
|
||||
[3, 0]</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/utils.jl#L217-L231">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Base.rpad-Tuple{AbstractArray{T,1} where T,Integer,Any}" href="#Base.rpad-Tuple{AbstractArray{T,1} where T,Integer,Any}"><code>Base.rpad</code></a> — <span class="docstring-category">Method</span></header><section><div><p>Return the given sequence padded with <code>p</code> up to a maximum length of <code>n</code>.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> rpad([1, 2], 4, 0)
|
||||
[3, 0]</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/utils.jl#L217-L231">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Base.rpad-Tuple{AbstractArray{T,1} where T,Integer,Any}" href="#Base.rpad-Tuple{AbstractArray{T,1} where T,Integer,Any}"><code>Base.rpad</code></a> — <span class="docstring-category">Method</span></header><section><div><p>Return the given sequence padded with <code>p</code> up to a maximum length of <code>n</code>.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> rpad([1, 2], 4, 0)
|
||||
4-element Array{Int64,1}:
|
||||
1
|
||||
2
|
||||
|
|
@ -77,15 +77,15 @@ julia> rpad([1, 2, 3], 2, 0)
|
|||
3-element Array{Int64,1}:
|
||||
1
|
||||
2
|
||||
3</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/utils.jl#L196-L214">source</a></section></article><h2 id="Layer-Initialization-1"><a class="docs-heading-anchor" href="#Layer-Initialization-1">Layer Initialization</a><a class="docs-heading-anchor-permalink" href="#Layer-Initialization-1" title="Permalink"></a></h2><p>These are primarily useful if you are planning to write your own layers. Flux initializes convolutional layers and recurrent cells with <code>glorot_uniform</code> by default. To change the default on an applicable layer, pass the desired function with the <code>init</code> keyword. For example:</p><pre><code class="language-julia-repl">julia> conv = Conv((3, 3), 1 => 8, relu; init=Flux.glorot_normal)
|
||||
3</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/utils.jl#L196-L214">source</a></section></article><h2 id="Layer-Initialization-1"><a class="docs-heading-anchor" href="#Layer-Initialization-1">Layer Initialization</a><a class="docs-heading-anchor-permalink" href="#Layer-Initialization-1" title="Permalink"></a></h2><p>These are primarily useful if you are planning to write your own layers. Flux initializes convolutional layers and recurrent cells with <code>glorot_uniform</code> by default. To change the default on an applicable layer, pass the desired function with the <code>init</code> keyword. For example:</p><pre><code class="language-julia-repl">julia> conv = Conv((3, 3), 1 => 8, relu; init=Flux.glorot_normal)
|
||||
Conv((3, 3), 1=>8, relu)</code></pre><article class="docstring"><header><a class="docstring-binding" id="Flux.glorot_uniform" href="#Flux.glorot_uniform"><code>Flux.glorot_uniform</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">glorot_uniform(dims...)</code></pre><p>Return an <code>Array</code> of size <code>dims</code> containing random variables taken from a uniform distribution in the interval <span>$[-x, x]$</span>, where <code>x = sqrt(24 / sum(dims)) / 2</code>.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> Flux.glorot_uniform(2, 3)
|
||||
2×3 Array{Float32,2}:
|
||||
0.601094 -0.57414 -0.814925
|
||||
0.900868 0.805994 0.057514</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/utils.jl#L7-L20">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.glorot_normal" href="#Flux.glorot_normal"><code>Flux.glorot_normal</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">glorot_normal(dims...)</code></pre><p>Return an <code>Array</code> of size <code>dims</code> containing random variables taken from a normal distribution with mean 0 and standard deviation <code>sqrt(2 / sum(dims))</code>.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> Flux.glorot_normal(3, 2)
|
||||
0.900868 0.805994 0.057514</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/utils.jl#L7-L20">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.glorot_normal" href="#Flux.glorot_normal"><code>Flux.glorot_normal</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">glorot_normal(dims...)</code></pre><p>Return an <code>Array</code> of size <code>dims</code> containing random variables taken from a normal distribution with mean 0 and standard deviation <code>sqrt(2 / sum(dims))</code>.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl">julia> Flux.glorot_normal(3, 2)
|
||||
3×2 Array{Float32,2}:
|
||||
0.429505 -0.0852891
|
||||
0.523935 0.371009
|
||||
-0.223261 0.188052</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/utils.jl#L23-L37">source</a></section></article><h2 id="Model-Abstraction-1"><a class="docs-heading-anchor" href="#Model-Abstraction-1">Model Abstraction</a><a class="docs-heading-anchor-permalink" href="#Model-Abstraction-1" title="Permalink"></a></h2><article class="docstring"><header><a class="docstring-binding" id="Flux.destructure" href="#Flux.destructure"><code>Flux.destructure</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">destructure(m)</code></pre><p>Flatten a model's parameters into a single weight vector.</p><pre><code class="language-none">julia> m = Chain(Dense(10, 5, σ), Dense(5, 2), softmax)
|
||||
-0.223261 0.188052</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/utils.jl#L23-L37">source</a></section></article><h2 id="Model-Abstraction-1"><a class="docs-heading-anchor" href="#Model-Abstraction-1">Model Abstraction</a><a class="docs-heading-anchor-permalink" href="#Model-Abstraction-1" title="Permalink"></a></h2><article class="docstring"><header><a class="docstring-binding" id="Flux.destructure" href="#Flux.destructure"><code>Flux.destructure</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">destructure(m)</code></pre><p>Flatten a model's parameters into a single weight vector.</p><pre><code class="language-none">julia> m = Chain(Dense(10, 5, σ), Dense(5, 2), softmax)
|
||||
Chain(Dense(10, 5, σ), Dense(5, 2), softmax)
|
||||
|
||||
julia> θ, re = destructure(m);
|
||||
|
|
@ -94,6 +94,6 @@ julia> θ
|
|||
67-element Array{Float32,1}:
|
||||
-0.1407104
|
||||
...</code></pre><p>The second return value <code>re</code> allows you to reconstruct the original network after making modifications to the weight vector (for example, with a hypernetwork).</p><pre><code class="language-none">julia> re(θ .* 2)
|
||||
Chain(Dense(10, 5, σ), Dense(5, 2), softmax)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/utils.jl#L249-L269">source</a></section></article><h2 id="Callback-Helpers-1"><a class="docs-heading-anchor" href="#Callback-Helpers-1">Callback Helpers</a><a class="docs-heading-anchor-permalink" href="#Callback-Helpers-1" title="Permalink"></a></h2><article class="docstring"><header><a class="docstring-binding" id="Flux.throttle" href="#Flux.throttle"><code>Flux.throttle</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">throttle(f, timeout; leading=true, trailing=false)</code></pre><p>Return a function that when invoked, will only be triggered at most once during <code>timeout</code> seconds.</p><p>Normally, the throttled function will run as much as it can, without ever going more than once per <code>wait</code> duration; but if you'd like to disable the execution on the leading edge, pass <code>leading=false</code>. To enable execution on the trailing edge, pass <code>trailing=true</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/utils.jl#L281-L291">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.Optimise.stop" href="#Flux.Optimise.stop"><code>Flux.Optimise.stop</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">stop()</code></pre><p>Call <code>Flux.stop()</code> in a callback to indicate when a callback condition is met. This will trigger the train loop to stop and exit.</p><p><strong>Examples</strong></p><pre><code class="language-julia">cb = function ()
|
||||
Chain(Dense(10, 5, σ), Dense(5, 2), softmax)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/utils.jl#L249-L269">source</a></section></article><h2 id="Callback-Helpers-1"><a class="docs-heading-anchor" href="#Callback-Helpers-1">Callback Helpers</a><a class="docs-heading-anchor-permalink" href="#Callback-Helpers-1" title="Permalink"></a></h2><article class="docstring"><header><a class="docstring-binding" id="Flux.throttle" href="#Flux.throttle"><code>Flux.throttle</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">throttle(f, timeout; leading=true, trailing=false)</code></pre><p>Return a function that when invoked, will only be triggered at most once during <code>timeout</code> seconds.</p><p>Normally, the throttled function will run as much as it can, without ever going more than once per <code>wait</code> duration; but if you'd like to disable the execution on the leading edge, pass <code>leading=false</code>. To enable execution on the trailing edge, pass <code>trailing=true</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/utils.jl#L281-L291">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.Optimise.stop" href="#Flux.Optimise.stop"><code>Flux.Optimise.stop</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia">stop()</code></pre><p>Call <code>Flux.stop()</code> in a callback to indicate when a callback condition is met. This will trigger the train loop to stop and exit.</p><p><strong>Examples</strong></p><pre><code class="language-julia">cb = function ()
|
||||
accuracy() > 0.9 && Flux.stop()
|
||||
end</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/fab53e0a01bbe1821a0e7534a68039af9573adea/src/optimise/train.jl#L42-L54">source</a></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../ecosystem/">« The Julia Ecosystem</a><a class="docs-footer-nextpage" href="../performance/">Performance Tips »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Wednesday 13 May 2020 06:11">Wednesday 13 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
end</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/b6a5dd7152bc4af70ab03d71e7c0fc2d85f798c0/src/optimise/train.jl#L42-L54">source</a></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../ecosystem/">« The Julia Ecosystem</a><a class="docs-footer-nextpage" href="../performance/">Performance Tips »</a></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> on <span class="colophon-date" title="Friday 15 May 2020 17:44">Friday 15 May 2020</span>. Using Julia version 1.3.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
|
|
|
|||
Loading…
Reference in New Issue