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Refactor/optim #272

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merged 13 commits into from
Apr 5, 2023
Merged

Refactor/optim #272

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46b74e6
Wip
nathanielsimard Apr 4, 2023
ec7986f
Merge branch 'main' into refactor/optim
nathanielsimard Apr 4, 2023
1437256
Update burn-core
nathanielsimard Apr 4, 2023
dd55207
Adapt burn train
nathanielsimard Apr 4, 2023
cb90875
some fixes
nathanielsimard Apr 4, 2023
382c83e
Fix old checkpoints were not removed
nathanielsimard Apr 4, 2023
8405ac8
Refactoring
nathanielsimard Apr 5, 2023
083ee95
Remove state
nathanielsimard Apr 5, 2023
f4fee4b
Update inference test
nathanielsimard Apr 5, 2023
b6f6e2b
Run clippy
nathanielsimard Apr 5, 2023
b30278a
Cleanup
nathanielsimard Apr 5, 2023
defa717
Fix no std
nathanielsimard Apr 5, 2023
605a0b3
Add comment
nathanielsimard Apr 5, 2023
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Run clippy
  • Loading branch information
@nathanielsimard
nathanielsimard committed Apr 5, 2023
commit b6f6e2b95ca6fa3a6c7f5f034b5348bf6ff41438
12 changes: 3 additions & 9 deletions burn-core/src/optim/adam.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -89,10 +89,7 @@ impl AdamConfig {
beta_2: self.beta_2,
epsilon: self.epsilon,
},
weight_decay: self
.weight_decay
.as_ref()
.map(|config| WeightDecay::new(config)),
weight_decay: self.weight_decay.as_ref().map(WeightDecay::new),
};
OptimizerAdaptor::from(optim)
}
Expand Down Expand Up @@ -130,7 +127,7 @@ impl AdaptiveMomentum {
.mul_scalar(self.beta_2)
.add(grad.powf(2.0).mul_scalar(factor));

state.time = state.time + 1;
state.time += 1;

state
} else {
Expand Down Expand Up @@ -288,10 +285,7 @@ mod tests {
beta_2: config.beta_2,
epsilon: config.epsilon,
},
weight_decay: config
.weight_decay
.as_ref()
.map(|config| WeightDecay::new(config)),
weight_decay: config.weight_decay.as_ref().map(WeightDecay::new),
}
.into()
}
Expand Down
7 changes: 2 additions & 5 deletions burn-core/src/optim/sgd.rs
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Expand Up @@ -41,11 +41,8 @@ impl SgdConfig {
&self,
) -> OptimizerAdaptor<Sgd<B::InnerBackend>, M, B> {
let learning_rate = self.learning_rate.elem();
let momentum = self.momentum.as_ref().map(|config| Momentum::new(config));
let weight_decay = self
.weight_decay
.as_ref()
.map(|config| WeightDecay::new(config));
let momentum = self.momentum.as_ref().map(Momentum::new);
let weight_decay = self.weight_decay.as_ref().map(WeightDecay::new);

Sgd {
learning_rate,
Expand Down
2 changes: 1 addition & 1 deletion burn-core/src/record/primitive.rs
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Expand Up @@ -48,7 +48,7 @@ impl<const N: usize, T: Record + core::fmt::Debug> Record for [T; N] {
.map(Record::from_item)
.collect::<Vec<_>>()
.try_into()
.expect(format!("An arrar of size {N}").as_str())
.unwrap_or_else(|_| panic!("An arrar of size {N}"))
}
}

Expand Down
3 changes: 1 addition & 2 deletions burn-derive/src/lib.rs
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Expand Up @@ -18,10 +18,9 @@ pub fn module_derive(input: TokenStream) -> TokenStream {
#[proc_macro_derive(Record)]
pub fn record_derive(input: TokenStream) -> TokenStream {
let input = syn::parse(input).unwrap();
let gen = record_derive_impl(&input);

// panic!("{}", gen);
gen
record_derive_impl(&input)
}

#[proc_macro_derive(Config, attributes(config))]
Expand Down