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Add the pow operator. (#1583)

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* Add the pow operator.

* Support the pow operation in onnx.
This commit is contained in:
Laurent Mazare
2024-01-13 20:24:06 +01:00
committed by GitHub
parent 88618255cb
commit e6d86b0819
3 changed files with 31 additions and 3 deletions
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16
candle-core/tests/tensor_tests.rs
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@ -1245,11 +1245,23 @@ fn assert_close(a: &Tensor, b: &Tensor, epsilon: f64) -> Result<()> {
}
#[test]
fn logsumexp() -> Result<()> {
fn log_sum_exp() -> Result<()> {
let input = Tensor::new(&[[1f64, 2., 3.], [4., 5., 6.]], &Device::Cpu)?;
let output = input.logsumexp(D::Minus1)?;
let output = input.log_sum_exp(D::Minus1)?;
// The expectations obtained from pytorch.
let expected = Tensor::new(&[3.4076, 6.4076], &Device::Cpu)?;
assert_close(&output, &expected, 0.00001)?;
Ok(())
}
#[test]
fn pow() -> Result<()> {
let lhs = Tensor::new(&[[1f32, 2., 3.], [4., 5., 6.]], &Device::Cpu)?;
let rhs = (&lhs - 2.)?;
let res = lhs.pow(&rhs)?;
assert_eq!(
test_utils::to_vec2_round(&res, 4)?,
[[1.0, 1.0, 3.0], [16.0, 125.0, 1296.0001]]
);
Ok(())
}