Use the same default as pytorch for sum. (#164)

This commit is contained in:
Laurent Mazare
2023-07-13 21:32:32 +01:00
committed by GitHub
parent 57be3638d8
commit 2bfa791336
13 changed files with 123 additions and 56 deletions

View File

@ -70,7 +70,7 @@ pub fn conv1d_weight_norm(
) -> Result<Conv1d> {
let weight_g = vb.get((out_c, 1, 1), "weight_g")?;
let weight_v = vb.get((out_c, in_c, kernel_size), "weight_v")?;
let norm_v = (&weight_v * &weight_v)?.sum(&[1, 2])?.sqrt()?;
let norm_v = weight_v.sqr()?.sum_keepdim(&[1, 2])?.sqrt()?;
let weight = weight_v.broadcast_mul(&weight_g)?.broadcast_div(&norm_v)?;
let bias = vb.get(out_c, "bias")?;
Ok(Conv1d::new(weight, Some(bias), config))