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authorLaurent Mazare <laurent.mazare@gmail.com>2023-07-22 11:39:27 +0200
committerGitHub <noreply@github.com>2023-07-22 10:39:27 +0100
commit43c72232927ca80c850a73ce977c2063d5a2dcf5 (patch)
treec93c07984e06b1925313f4f641a8b1a3956fc0ed /candle-examples/examples/simple-training/main.rs
parent52c5d8c087f6a2ee91b807467860eb3e96bb6267 (diff)
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Rename the .r functions to .dims so as to be a bit more explicit. (#220)
Diffstat (limited to 'candle-examples/examples/simple-training/main.rs')
-rw-r--r--candle-examples/examples/simple-training/main.rs2
1 files changed, 1 insertions, 1 deletions
diff --git a/candle-examples/examples/simple-training/main.rs b/candle-examples/examples/simple-training/main.rs
index 2cfe4923..60f2281b 100644
--- a/candle-examples/examples/simple-training/main.rs
+++ b/candle-examples/examples/simple-training/main.rs
@@ -52,7 +52,7 @@ pub fn main() -> Result<()> {
.to_dtype(DType::F32)?
.sum_all()?
.to_scalar::<f32>()?;
- let test_accuracy = sum_ok / test_labels.shape().r1()? as f32;
+ let test_accuracy = sum_ok / test_labels.dims1()? as f32;
println!(
"{epoch:4} train loss: {:8.5} test acc: {:5.2}%",
loss.to_scalar::<f32>()?,