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Temporary fix to cuda training #72

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Temporary fix to cuda training #72

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2 changes: 1 addition & 1 deletion crates/luminal_training/src/optimizer.rs
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Expand Up @@ -50,7 +50,7 @@ pub fn sgd_on_graph(

// SGD
let new_weight = old_weight - (gradient * lr.expand_to(grad_shape));
new_weight.keep();
new_weight.retrieve();

new_weights.push(new_weight.id);
}
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3 changes: 3 additions & 0 deletions examples/train_math_net/src/main.rs
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Expand Up @@ -13,6 +13,9 @@ fn main() {
let model = <(Linear<8, 16>, Swish, Linear<16, 16>, Swish, Linear<16, 5>)>::initialize(&mut cx);
let mut input = cx.tensor::<R1<8>>();
let mut target = cx.tensor::<R1<5>>();
model.0.weight.retrieve();
model.2.weight.retrieve();
model.4.weight.retrieve();
let mut output = model.forward(input).retrieve();
let mut loss = mse_loss(output, target).retrieve();

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