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Fix typo in readme #30

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klamike merged 2 commits into from
Mar 27, 2025
Merged

Fix typo in readme #30

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18854bc
fix typo
klamike Mar 25, 2025
2f271f3
qualify Flux.gradient
klamike Mar 27, 2025
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -8,7 +8,7 @@

Learning to Optimize (LearningToOptimize) package that provides basic functionalities to help fit proxy models for parametric optimization problems.

Have a look at our sister [HugginFace Organization](https://huggingface.co/LearningToOptimize), for datasets, pre-trained models and benchmarks.
Have a look at our sister [HuggingFace Organization](https://huggingface.co/LearningToOptimize), for datasets, pre-trained models and benchmarks.

[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://andrewrosemberg.github.io/LearningToOptimize.jl/stable/)
[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://andrewrosemberg.github.io/LearningToOptimize.jl/dev/)
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2 changes: 1 addition & 1 deletion src/FullyConnected.jl
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Expand Up @@ -157,7 +157,7 @@ function train!(model, loss, opt_state, X, Y; _batchsize = 32, shuffle = true)
Y = Y |> gpu
data = Flux.DataLoader((X, Y), batchsize = batchsize, shuffle = shuffle)
for d in data
∇model, _ = gradient(model, d...) do m, x, y # calculate the gradients
∇model, _ = Flux.gradient(model, d...) do m, x, y # calculate the gradients
loss(m(x), y)
end
# insert what ever code you want here that needs gradient
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