huggingface/candle
1
0
Fork 0
mirror of https://github.com/huggingface/candle.git synced 2025-06-16 18:48:51 +00:00
Code Issues Packages Projects Releases Wiki Activity

Test for the transposed conv1d. (#1254)

Browse Source
This commit is contained in:
Laurent Mazare
2023-11-03 13:10:28 +01:00
committed by GitHub
parent 1b5063f3ca
commit b07b2350b6
2 changed files with 17 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
candle-core/src/conv.rs
View File

@ -196,8 +196,8 @@ impl Tensor {
stride: usize, stride: usize,
dilation: usize, dilation: usize,
) -> Result<Self> { ) -> Result<Self> {
let (c_out, c_in_k, k_size) = kernel.dims3()?;
let (b_size, c_in, l_in) = self.dims3()?; let (b_size, c_in, l_in) = self.dims3()?;
let (c_in_k, c_out, k_size) = kernel.dims3()?;
if c_in != c_in_k { if c_in != c_in_k {
crate::bail!("in_channel mismatch between input ({c_in}) and kernel ({c_in_k})") crate::bail!("in_channel mismatch between input ({c_in}) and kernel ({c_in_k})")
} }

16
candle-core/tests/conv_tests.rs
View File

@ -13,6 +13,11 @@ res = torch.nn.functional.conv1d(t, w)
print(res.flatten()) print(res.flatten())
res = torch.nn.functional.conv1d(t, w, padding=1) res = torch.nn.functional.conv1d(t, w, padding=1)
print(res.flatten()) print(res.flatten())
w_t = w.transpose(0, 1)
res = torch.nn.functional.conv_transpose1d(t, w_t)
print(res.shape)
print(res)
*/ */
fn conv1d(dev: &Device) -> Result<()> { fn conv1d(dev: &Device) -> Result<()> {
let t = Tensor::new( let t = Tensor::new(
@ -45,6 +50,17 @@ fn conv1d(dev: &Device) -> Result<()> {
test_utils::to_vec1_round(&res.flatten_all()?, 4)?, test_utils::to_vec1_round(&res.flatten_all()?, 4)?,
[2.4509, 2.6357, -1.3336, 4.1393, 0.5657, 1.8091, -1.1784, 3.5675, 0.5069, 3.3352] [2.4509, 2.6357, -1.3336, 4.1393, 0.5657, 1.8091, -1.1784, 3.5675, 0.5069, 3.3352]
); );
if dev.is_cpu() {
let res = t.conv_transpose1d(&w.transpose(0, 1)?, 0, 0, 1, 1)?;
assert_eq!(res.dims(), [1, 2, 7]);
assert_eq!(
test_utils::to_vec1_round(&res.flatten_all()?, 4)?,
[
0.0699, -1.2899, 8.3018, 5.5873, 2.4572, -2.6143, -0.0706, 1.8765, 4.8318, 1.1538,
4.7076, -5.9745, -0.8276, 1.621
],
);
}
Ok(()) Ok(())
} }