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Add the optimizer trait. (#702)

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This commit is contained in:
Laurent Mazare
2023-09-01 13:55:39 +02:00
committed by GitHub
parent f2d476ca65
commit 7529531056
6 changed files with 69 additions and 54 deletions
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4
candle-examples/examples/mnist-training/main.rs
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@ -9,7 +9,7 @@ use clap::{Parser, ValueEnum};
use rand::prelude::*;
use candle::{DType, Result, Tensor, D};
use candle_nn::{loss, ops, Conv2d, Linear, Module, VarBuilder, VarMap};
use candle_nn::{loss, ops, Conv2d, Linear, Module, Optimizer, VarBuilder, VarMap};
const IMAGE_DIM: usize = 784;
const LABELS: usize = 10;
@ -190,7 +190,7 @@ fn training_loop<M: Model>(
varmap.load(load)?
}
let sgd = candle_nn::SGD::new(varmap.all_vars(), args.learning_rate);
let mut sgd = candle_nn::SGD::new(varmap.all_vars(), args.learning_rate)?;
let test_images = m.test_images.to_device(&dev)?;
let test_labels = m.test_labels.to_dtype(DType::U32)?.to_device(&dev)?;
for epoch in 1..args.epochs {