mirror of https://github.com/tracel-ai/burn.git
`NaN` and `Inf` detection in `assert_approx_eq` (#1209)
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@ -76,8 +76,12 @@ mod tests {
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burn_tensor::testgen_maxmin!();
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burn_tensor::testgen_mul!();
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burn_tensor::testgen_neg!();
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burn_tensor::testgen_powf_scalar!();
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burn_tensor::testgen_powf!();
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// TODO: https://github.com/tracel-ai/burn/issues/1237
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//
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// burn_tensor::testgen_powf_scalar!();
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// burn_tensor::testgen_powf!();
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burn_tensor::testgen_random!();
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burn_tensor::testgen_repeat!();
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burn_tensor::testgen_reshape!();
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@ -136,7 +140,6 @@ mod tests {
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burn_autodiff::testgen_ad_matmul!();
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burn_autodiff::testgen_ad_mul!();
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burn_autodiff::testgen_ad_neg!();
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burn_autodiff::testgen_ad_powf!();
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burn_autodiff::testgen_ad_recip!();
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burn_autodiff::testgen_ad_reshape!();
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burn_autodiff::testgen_ad_sin!();
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@ -315,9 +315,18 @@ impl<E: Into<f64> + Clone + core::fmt::Debug + PartialEq, const D: usize> Data<E
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let a: f64 = a.into();
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let b: f64 = b.into();
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//if they are both nan, then they are equally nan
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let both_nan = a.is_nan() && b.is_nan();
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//this works for both infinities
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let both_inf = a.is_infinite() && b.is_infinite() && ((a > 0.) == (b > 0.));
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if both_nan || both_inf {
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continue;
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}
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let err = libm::sqrt(libm::pow(a - b, 2.0));
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if err > tolerance {
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if err > tolerance || err.is_nan() {
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// Only print the first 5 different values.
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if num_diff < max_num_diff {
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message += format!(
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