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Fix the conv tests. (#409)

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This commit is contained in:
Laurent Mazare
2023-08-11 15:59:54 +02:00
committed by GitHub
parent 662db45fc3
commit 01ea57da8c
1 changed files with 5 additions and 7 deletions
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12
candle-core/tests/conv_tests.rs
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@ -12,6 +12,8 @@ print(t.flatten())
print(w.flatten()) print(w.flatten())
res = torch.nn.functional.conv1d(t, w) res = torch.nn.functional.conv1d(t, w)
print(res.flatten()) print(res.flatten())
res = torch.nn.functional.conv1d(t, w, padding=1)
print(res.flatten())
*/ */
#[test] #[test]
fn conv1d() -> Result<()> { fn conv1d() -> Result<()> {
@ -41,14 +43,10 @@ fn conv1d() -> Result<()> {
); );
let res = t.conv1d(&w, /*padding*/ 1, 1)?; let res = t.conv1d(&w, /*padding*/ 1, 1)?;
assert_eq!(res.dims(), [1, 2, 5]); assert_eq!(res.dims(), [1, 2, 5]);
/* Note that the default for padding is different from PyTorch at the moment: instead of // Same as pytorch default padding: use zeros.
padding with zeros, the edge value from the input tensor is used, i.e. this is similiar to:
t = torch.nn.functional.pad(t, (1, 1), mode='replicate')
res = torch.nn.functional.conv1d(t, w, padding=0)
*/
assert_eq!( assert_eq!(
test_utils::to_vec1_round(&res.flatten_all()?, 4)?, test_utils::to_vec1_round(&res.flatten_all()?, 4)?,
[2.5209, 2.6357, -1.3336, 4.1393, 0.4951, 3.6855, -1.1784, 3.5675, 0.5069, 4.9562] [2.4509, 2.6357, -1.3336, 4.1393, 0.5657, 1.8091, -1.1784, 3.5675, 0.5069, 3.3352]
); );
Ok(()) Ok(())
} }
@ -68,7 +66,7 @@ fn conv1d_small() -> Result<()> {
assert_eq!(res.dims(), [1, 1, 4]); assert_eq!(res.dims(), [1, 1, 4]);
assert_eq!( assert_eq!(
test_utils::to_vec1_round(&res.flatten_all()?, 4)?, test_utils::to_vec1_round(&res.flatten_all()?, 4)?,
[0.4056, 0.4056, -0.8689, -0.0773], [0.0, 0.4056, -0.8689, -0.0773],
); );
Ok(()) Ok(())
} }