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-rw-r--r--candle-examples/examples/mnist-training/main.rs16
1 files changed, 9 insertions, 7 deletions
diff --git a/candle-examples/examples/mnist-training/main.rs b/candle-examples/examples/mnist-training/main.rs
index 5bbce31b..a90904c4 100644
--- a/candle-examples/examples/mnist-training/main.rs
+++ b/candle-examples/examples/mnist-training/main.rs
@@ -83,13 +83,15 @@ impl Model for ConvNet {
fn forward(&self, xs: &Tensor) -> Result<Tensor> {
let (b_sz, _img_dim) = xs.dims2()?;
- let xs = xs.reshape((b_sz, 1, 28, 28))?;
- let xs = self.conv1.forward(&xs)?.max_pool2d((2, 2), (2, 2))?;
- let xs = self.conv2.forward(&xs)?.max_pool2d((2, 2), (2, 2))?;
- let xs = xs.flatten_from(1)?;
- let xs = self.fc1.forward(&xs)?;
- let xs = xs.relu()?;
- self.fc2.forward(&xs)
+ xs.reshape((b_sz, 1, 28, 28))?
+ .apply(&self.conv1)?
+ .max_pool2d(2)?
+ .apply(&self.conv2)?
+ .max_pool2d(2)?
+ .flatten_from(1)?
+ .apply(&self.fc1)?
+ .relu()?
+ .apply(&self.fc2)
}
}